Next Article in Journal
New Chloramphenicol Derivatives from the Viewpoint of Anticancer and Antimicrobial Activity
Previous Article in Journal
Antibiotic Stewardship—Twenty Years in the Making
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:

The Quest for Novel Antimicrobial Compounds: Emerging Trends in Research, Development, and Technologies

Pavan K. Mantravadi
Karunakaran A. Kalesh
Renwick C. J. Dobson
André O. Hudson
4,* and
Anutthaman Parthasarathy
Analytical Services, Abon Pharmaceuticals, Northvale, NJ 07647, USA
Department of Chemistry, Durham University, Durham DH1 3LE, UK
Biomolecular Interaction Centre and School of Biological Sciences, University of Canterbury, Private Bag 4800 Christchurch, New Zealand
Rochester Institute of Technology, Thomas H. Gosnell School of Life Sciences, 85 Lomb Memorial Dr, Rochester, NY 14623, USA
Authors to whom correspondence should be addressed.
Antibiotics 2019, 8(1), 8;
Submission received: 8 January 2019 / Revised: 17 January 2019 / Accepted: 20 January 2019 / Published: 24 January 2019


Pathogenic antibiotic resistant bacteria pose one of the most important health challenges of the 21st century. The overuse and abuse of antibiotics coupled with the natural evolutionary processes of bacteria has led to this crisis. Only incremental advances in antibiotic development have occurred over the last 30 years. Novel classes of molecules, such as engineered antibodies, antibiotic enhancers, siderophore conjugates, engineered phages, photo-switchable antibiotics, and genome editing facilitated by the CRISPR/Cas system, are providing new avenues to facilitate the development of antimicrobial therapies. The informatics revolution is transforming research and development efforts to discover novel antibiotics. The explosion of nanotechnology and micro-engineering is driving the invention of antimicrobial materials, enabling the cultivation of “uncultivable” microbes and creating specific and rapid diagnostic technologies. Finally, a revival in the ecological aspects of microbial disease management, the growth of prebiotics, and integrated management based on the “One Health” model, provide additional avenues to manage this health crisis. These, and future scientific and technological developments, must be coupled and aligned with sound policy and public awareness to address the risks posed by rising antibiotic resistance.

1. Introduction

Bacteria that are resistant to clinically relevant antibiotics are a major threat to public health worldwide. Factors leading to this crisis, such as the lack of research and development of novel antibiotics, have been examined elsewhere [1,2,3]. The recent global status of antibiotics has been documented in a policy document issued by the Center for Disease Dynamics, Economics, and Policy (CDDEP) [4]. The development of antibiotics was rapid between 1940–1962, when 20 clinically relevant classes were discovered and developed; only two major novel classes have been commercialized since 1962. Large pharmaceutical companies in recent decades have committed scant resources to antibiotics [5], as drugs treating lifestyle diseases yield more sustainable profits. Meanwhile, academic scientists, smaller companies, non-profits, and academic-industry partnerships have brought about significant developments in the fields of antibiotics and antimicrobial strategies.
For example, the tuberculosis-focused TB Alliance initiated Phase I trials for TBA-7371, which belongs to a new class of compounds called DprE1 inhibitors that block the enzyme decaprenylphosphoryl-β-d-ribose 2′-epimerase (DprE1) in the cell wall biosynthesis of Mycobacterium tuberculosis. Only two TB drugs have been approved for clinical use in recent years, namely, Johnson and Johnson’s bedaquiline and Otsuka Pharmaceutical’s delamanid, both for treating multi-drug-resistant tuberculosis. More needs to be done on this front as resistance to known drugs is rising. A new business model for the development of antibiotics that is not dependent on high returns from the large volume product sales has been advocated [6]. This article offers snapshots from the gamut of recent antimicrobial science and technology, including antimicrobial discovery strategies, novel antibiotic types, newer antimicrobial materials, emerging commercial technology platforms, and microbial ecology management, including microbiome interventions. This article is restricted to developments mainly arising in the last decade, and earlier approaches that are being revived due to increasing antibiotic resistance.

2. Novel Targets, Discovery Approaches, and Sources

2.1. Novel Antibiotic Targets

Traditionally, antibiotics have targeted mainly bacterial DNA replication, protein synthesis, or peptidoglycan synthesis. Widespread resistance has caused researchers to search for newer targets for combating bacterial infections; an overview is shown in Table 1. The nine nutritionally essential amino acids, namely, leucine, isoleucine, valine, threonine, methionine, tryptophan, phenylalanine, histidine, and lysine are synthesized by bacteria, but not by humans. In addition to protein synthesis, lysine is also involved in bacterial peptidoglycan biosynthesis. The L,L-diaminopimelate aminotransferase (DapL) pathway for lysine biosynthesis was recently identified as a novel variant occurring in pathogenic genera such as Chlamydia, Leptospira, and Treponema [7]. DapL inhibitors are potential narrow-spectrum antibiotics given the narrow distribution of the enzyme among the bacterial kingdom [8]. Aromatic amino acid biosynthesis also affords multiple antibiotic targets. Four shikimate pathway enzymes are essential for the gastric pathogen, Helicobacter pylori; shikimate kinase and type II dehydroquinase are important for both Mycobacterium tuberculosis and Helicobacter pylori, and inhibitors of these enzymes are under development [9]. The Tuberculosis Structural Genomics Consortium (TBSGC) has facilitated the solving of X-ray diffraction structures of many Mycobacterium tuberculosis proteins, including several from the tryptophan biosynthetic pathway, namely, TrpB, TrpC, and TrpE, and inhibitory molecules were discovered [10,11,12]. The shikimate pathway is also essential for parasitic protozoa, such as Toxoplasma gondii and Plasmodium falciparum, and identifying the relevant genes could spur the production of selective anti-parasitic molecules [13,14].
The generation of spontaneous suppressor mutants and a comparison of the genomes of telomycin-sensitive versus resistant cells of Staphylococcus aureus and Bacillus subtilis revealed mutations in genes encoding for the phospholipid cardiolipin, suggesting cardiolipin biosynthesis as a new antibiotic target [15]. Teixobactin is a new antibiotic that inhibits cell-wall biosynthesis by binding the lipid-pyrophosphate-sugar motif of Lipid II (precursor of peptidoglycan), and of Lipid III of wall teichoic acid in Gram-positive bacteria. Since the structure of Lipid II is not expected to change much via mutations, teixobactin is predicted to be free from bacterial resistance [16]. The compound POL70780 is a Pseudomonas aeruginosa-specific inhibitor of LptD, a protein involved in lipopolysaccharide insertion to the outer membrane [17]. Since LptD is well-conserved across bacterial species and the rate of mutations is low, similar compounds could be developed against other pathogens. A recent study identified a tripeptide “staphylopine” in Staphylococcus aureus that binds nickel, cobalt, zinc, copper, and iron [18]. The biosynthetic pathway for this peptide was elucidated and several genes in the corresponding gene cluster were conserved in other pathogens, such as Yersinsia pestis and Pseudomonas aeruginosa, suggesting that molecules interfering with staphylopine biosynthesis could potentially act as broad-spectrum antibiotics.
Quorum sensing (QS) is a process whereby bacterial signalling molecules are produced and detected in order to coordinate cell-density based behavioral changes [19]. An estimated 80% of all microbial infections are associated with biofilms. Disrupting QS can prevent the formation of biofilms, increasing the importance of quorum sensing inhibitors (QSI). Since QS is not directly involved in cell wall biosynthesis or DNA replication, as anti-virulence factors QSI afford an alternative mechanism compared to traditional antibiotics. The major QS systems are the acyl-homoserine lactone (AHL) of Gram-negative bacteria [19], the auto-inducing peptide (AIP) system of Gram-positive bacteria [20], and the autoinducer-2 (AI-2), which occurs in both groups [21,22]. Inhibitors of the Lux protein family interfere with AHL-based QS and prevent biofilm formation, which enables the antibiotic azithromycin to clear chronic Pseudomonas infections in animal models [23]. Substrate analogues and inhibitors of all three QS systems have been reviewed elsewhere [24]. Notably, two proteins in the AI-2 pathway, LuxS and 5’methylthioadenosine nucleosidase (MTAN), are found in bacteria but not in mammals, leaving further scope for using these as targets for new antibiotics [25,26,27,28]. Enzymes, such as acylases, lactonases, and oxidoreductases can degrade or modify AHL signals, a phenomenon termed quorum quenching (QQ) [29]. QQ enzymes are found in bacteria, plants, and mammals. The non-AHL QS systems are not susceptible to QQ, but they have been targeted by antibodies against AIP produced by Staphylococcus aureus [30] and AI-2 produced by Salmonella enterica serovar Typhimurium [31].
Lassomycin is a new peptide active against Mycobacterium tuberculosis produced by an Actinomycete, Lentsea sp [32]. It inhibits an essential protease ClpP1P2C1 and increases its ATP-ase activity, thereby killing both growing and dormant cells. Traditional antibiotics usually only kill actively growing cells and persistence of dormant cells remains a recurring problem. The acetyldepsipeptide ADEP4 activates the ClpP protease that degrades misfolded proteins with the help of ATP-dependent chaperones [33]. ADEP4 and its analogues, however keep the channel of ClpP open, obviating the need for ATP hydrolysis. Thus, ADEP4 became the first antibiotic to effectively kill persister cells in biofilms. Although resistance to ADEP4 is common, combining it with other antibiotics eradicated biofilms in vitro and in mouse models. Well-known food items, like spices, also contain antibiotic compounds, whose mechanisms of action are being investigated. Ginger contains raffinose, which inhibits biofilms of Pseudomonas aeruginosa by decreasing the intracellular levels of cyclic-di-GMP, thus inducing a switch from non-motile (biofilm) to motile (planktonic) cells [34]. Growth of the pathogen is not affected, suggesting that limiting cyclic-di-GMP could be a way to clear biofilm formation.

2.2. Novel Discovery Approaches

2.2.1. Informatics-Based Discovery Approaches

Newer genomics approaches are beginning to overtake old “Grind and Find” methods of first cultivating microbes and then extracting compounds in the hunt for new antibiotics [35]. A platform that allows the mining of antibiotic biosynthetic gene clusters (BGC) based on similarity to known examples from plants, fungi, and bacteria is the antibiotics and Secondary Metabolite Analysis Shell (antiSMASH) tool [36,37]. Another recent portal mines the genes encoding for the biosynthesis of a particular natural product and uses that knowledge to probe whether or not other strains can make specific important intermediates of the natural product [38]. Alternatively, mining with narrow focus on genes involved in the final few steps of biosynthetic pathways enables the identification and optimization of variants, potentially producing an entire class of analogues using the results of just one study.
Genomic analysis can also reveal the presence of repressors or activators of biosynthesis genes, paving the way for engineering strains with overproduction capabilities [39]. However, only a fraction of bacterial diversity is routinely cultivated, and therefore, only a small percentage of the chemistries have been sampled. Many existing bioinformatics platforms have a bias towards known molecules, adding to the redundancy of frequent rediscovery. Among Actinomycetes, Streptomyces is over-represented due to sampling bias arising from different sources [40]. Shotgun sequencing of soil metagenomes remains an unsatisfactory tool for antibiotic discovery, since it remains challenging to sequence deep enough to obtain usable information about BGC [41]. Recently, a barcoding approach using degenerate polymerase chain reaction (PCR) primers to parse mixtures of BGC present in environmental samples via the environmental Surveyor of Natural Product Diversity (eSNaPD) server was formulated [42]. A survey of calcium-dependent antibiotics in diverse soil metagenomes based on eSNAPD analysis showed that more than 70% of BGC were unique to individual metagenomes, and led to the discovery of the malacidins, a novel family of antibiotics, which did not develop resistance under laboratory conditions [43].
A comprehensive bio- and chemo-informatics study of all currently known antibiotics was published, wherein 54 distinct molecular targets were identified [15]. The authors created a public web application called “Antibioticome” that defines the chemical origins and families of known natural antibacterials and their targets. An algorithm described as “retrobiosynthetic”, i.e., capable of identifying the chemical building blocks from which each antibiotic originates, was used. Since metadata pertaining to known or suspected mechanisms of action were also incorporated, the method was able to identify candidates with unknown modes of action. Antibiotic resistance often originates from the biosynthetic gene clusters in antibiotic-producers. Therefore, another web application was created to correlate self-resistance with known antibacterial mechanisms allowed for the scanning of BGC for homology to resistance genes and predict antibiotic targets. The application was able to correctly predict that the non-ribosomal peptide telomycin had a potentially unique mechanism of action [15]. The ease and economy of genome sequencing and the development of bioinformatics tools to analyze genomes for antibiotic resistance genes could enable the elucidation of new antibiotic targets. Platforms to detect antibiotic resistance genes in genomes and metagenomes, such as DeepARG and the Resistance Gene Identifier based on the Comprehensive Antibiotic Resistance Database, RGI CARD, have been created [44,45].

2.2.2. BGC Activation and Engineering

Engineering known modular BGCs that assemble specific parts of existing antibiotics to yield novel variants of well-known antimicrobials is an established approach, with the most notable recent example being the production of a novel group of semi-synthetic rifamycins to fight multi-drug resistant Mycobacterium tuberculosis [46]. However, the potential for secondary metabolite production is estimated to be much larger than the number of biochemically characterized pathways. The genome sequences of many bacteria contain homologues of known antibiotic biosynthesis genes, such as those encoding polyketide synthases and non-ribosomal peptide synthases. For example, the Actinomycetes, Streptomyces coelicolor, and Sterptomyces avermitilis harbor, respectively, 20 and 30 operons for secondary metabolites, although only a few are characterized [47,48]. Genome mining enables the identification of silent or cryptic BGC which may not be expressed under standard laboratory cultures. Approaches to activate silent or cryptic BGC responsible for producing novel metabolites have been reviewed recently [49].
The major pathway specific approaches are the manipulation of regulatory genes controlling the expression of specific pathways, the replacement of native promoters with constitutive ones, and the use of heterologous expression systems. For example, the silent spectinabilin gene cluster has been refactored by eliminating all the native regulatory control elements and replacing them with a series of constitutive and inducible heterologous promoters, triggering the production of the previously silent end product [50]. Two novel anthraquinone aminoglycosides, Gaudimycins D and E, were discovered by inducing the expression of the pga gene cluster in Streptomyces sp. PGA64, using a promoter-reporter system which identifies randomly generated mutants, wherein the target BGC has been activated [51]. A genome minimized Streptomyces strain has been constructed to facilitate the expression of antibiotic BGC [52]. Methods to express large natural product BGC clusters in Streptomyces strains have been recently optimized, and antibiotic production thereby achieved [53,54,55].
Pleiotropic approaches alter the expression of multiple genes, inducing global changes in the regulation of specific metabolic pathways. The major pleiotropic strategies are the variation of growth conditions and co-cultivation, epigenetic manipulation, engineering of global regulatory elements, and the modification of the transcription and translation machinery. Varying the growth conditions has been successfully used in many recent examples of antibiotic discovery. An older strategy is upregulating the transcription and translation of cryptic BGC by selecting for mutations in the genes encoding for RNA polymerase (RNAP) or ribosomal proteins. For example, mutations in the ribosomal protein S12 in Streptomyces lividans induced the biosynthesis of the antibiotic actinorhodin [56]. A newer approach is the chemical manipulation of the epigenome of fungi with inhibitors of histone deacetylase or DNA methyltransferases in order to trigger the production of novel natural products. When Penicillium citreonigrum was treated with the DNA methylase inhibitor 5-azacytidine, novel terpene and polyketide natural products were produced [57]. Using an “old antibiotics for new” approach, adding sub-lethal concentrations of clinical antibiotics was shown to activate otherwise unexpressed BGC for novel antibiotics in strains of Burkholderia thailandensis [58,59]. Apart from undefined elicitors that trigger antibiotic production, chemically defined molecules have been used as inducers of antibiotic production [60,61,62]. QS signals were shown to be required to induce the biosynthesis of the antibiotic pyrrolnitrin [63]. Compounds in chemical libraries or screens for blocking defined pathways have also been utilized to elicit antibiotic production, for example by inhibiting fatty acid biosynthesis [61,62].

2.3. Novel Antimicrobial Sources

Researchers are increasingly finding therapeutics from sources long considered unlikely or exotic. The use of plants used in traditional medicines, marine invertebrates, as well as insects and vertebrate animals on land as potential sources for antimicrobials, is undergoing a revival. Recently, an Entotheonella species residing in a marine sponge was found to synthesize more than ten different antibiotic compounds [64]. Due to a long history of co-evolution, the bacterial symbionts of macroflora and fauna could become a source of novel antibiotics [40]. Gut bacteria of the common pest, the cotton leaf-worm, were shown to produce the peptide antibiotic mundticin [65]. Insect gut bacteria might, thus, become a new source of antimicrobial peptides (AMP), with potential applications in food additives and antimicrobial coatings. Amphibians, such as rainforest frogs, resist bacterial and viral infections on their slimy skin and the activities of 14 antiviral peptides from different amphibians were tested against HIV using human T-cell cultures [66]. An AMP was discovered in the blood of the Komodo dragon Varanus komodoensis, a large reptile able to effectively resist the infection of open wounds. The natural peptide was taken as a starting point to design a more potent synthetic peptide, also having anti-biofilm activity [67]. Staphylococcus lugdunensis, a commensal of the human nasal cavity, produces the antibiotic lugdunin [68]. A new Streptomycete, Streptomyces formicae, isolated from the African fungus-growing plant-ant, was shown to produce 16 novel polyketide antibiotics called “formicamycins” [69]. Insect-associated microbes also produce the antibiotics dentigerumycin [70] and napthomycin K [71]. Current literature reports continue to describe endophytic fungal extracts with antimicrobial activity [72,73,74]. Analysis of genomes of endophytic bacteria recently isolated from Jamaican sugarcane using the antiSMASH platform reveals potential candidate BGC for antibiotics [75].
Fungi-fungi, bacteria-bacteria, and bacteria-fungi co-cultures produce secondary metabolites not biosynthesized under standard laboratory conditions, and approximately half of the identified metabolites induced during microbial co-cultivation, as opposed to monocultures, showed chemical novelty [76]. Co-cultures are an increasingly important source of new antibiotics [76,77,78]. Cross-species induction has been also achieved by exposing bacteria on the surface of marine algae or invertebrates (epibiotic bacteria) or marine fungi to terrestrial bacteria [79,80,81,82]. Pestalone is a molecule produced by cross-species induction and its total synthesis has been achieved and derivatives have been synthesized [83]. Closthioamide is a novel sulphur-containing antibiotic active against pathogens, including MRSA and vancomycin-resistant enterococci, produced by the anaerobe Clostridium cellulolyticum when it is stimulated by sterile-filtered aqueous soil extracts [84]. Interspecies crosstalk via chemical messengers between microbes occupying the same environment may lead to the expression of BGCs not seen under laboratory conditions, even in well-known microorganisms. For example, Aspergillus nidulans was shown to produce the compounds F-9775A and F-9775B when co-cultured with soil actinobacteria; these compounds were initially isolated from Paecilomyces carneus and were not known Aspergillus nidulans metabolites [85].
In nature, many growth factors are secreted by members of the microbial community surrounding the organism one is seeking to isolate. Since the biochemistry of these factors is largely unknown, it is unsurprising that traditional cultivation media mostly fail to produce colonies of previously uncultured bacteria. Several recent platforms use microfluidic chambers to separate individual cells derived from environmental samples. The bacteria are kept separate by means of capillary forces, while the growth factors diffuse freely. Thus, “uncultivable” bacteria can grow unhindered in the chambers since their natural environment is at least partly simulated. Microfluidic approaches succeeded in cultivating a previously uncultivated strain, Eleftheria terrae, which produces the novel antibiotic teixobactin [16]. A high-throughput version of a diffusion chamber device, the I-chip platform, enables 15–40% of cells to form colonies on agar after repeated inoculation into fresh chips [86]. A large proportion of the colonies grown were novel and did not grow by traditional agar-plate methods. Culturing even a fraction of the previously uncultured majority of bacteria could substantially expand the chemical diversity of antibiotics.
Venoms (protein and peptide mixtures) from different animals, such as snakes, bees, scorpions, spiders, and poison frogs, also have antibiotic activity. Melittin is a 26-amino acid bee venom peptide that inhibits several pathogens, like Borrelia burgdorferi, Candida albicans, Mycoplasma hominis, and Chlamydia trachomatis [87]. Snake venom metallo-proteinases (SVMPs) are capable of bactericidal action by anionic site recognition and enzymatic degradation of phospholipid membranes. An SVMP from Agkistrodon halys inhibits the growth of Gram-positive bacteria like Bacillus pseudomallei, Proteus vulgaris, and Staphylococcus aureus [88]. Homodimeric phospholipase A2 is purified from Bungarus faciatus snake venom (BFPA); the cationic BFPA likely disrupts the anionic Gram-positive cell wall [89]. The antimicrobial activities of spider and scorpion venom peptides combined with commercial antibiotics have been evaluated; one peptide, Css54, works synergistically with rifampicin in killing rifampicin-resistant Staphylococcus aureus (55). Nanoparticles-venom toxin conjugates have anticancer and immune-modulatory activities; similar nanoparticle-venom conjugates could perhaps be employed as antibiotics.

3. Novel Antimicrobial Molecules

Peptide chemistry and synthetic biology developed in a major way in recent years, expanding the scope for novel therapeutics. Antibodies are receiving more attention due to rising antibiotic resistance, while the development of inhibitors targeting efflux pumps, metal acquisition, and bacterial conjugation, as well as antibiotic enhancers and photo-activated molecules, has created other ways to tackle pathogens. Phage-based methods and breakthroughs, like CRISPR, may offer new routes to contain infections. Figure 1 summarizes some of the most interesting classes of novel antimicrobials that are emerging.

3.1. Peptides and Peptide-Related Molecules

AMPs have served as antibiotics for decades now and new molecules continue to be developed. The majority of peptide antibiotics are cationic, because the outer bacterial cell membranes are typically rich in anionic lipids, unlike the zwitterionic eukaryotic cell membranes. Peptides encounter several obstacles in their early development, including proteolytic instability, short in vivo half-life, solubility issues, and poor bioavailability. Therefore, natural peptides are being used as scaffolds to design more effective therapeutics. Many broad-spectrum anti-biofilm peptides have been identified in recent years, since in vivo stability is less of an issue in wounds or epithelial surfaces [90]. The issues of bioavailability and in vivo stability continue to hamper the direct administration of many peptides, but their therapeutic properties could be improved by coupling to lipids, non-peptide antibiotics, photosensitizers, immunoglobulins, etc. [91].
Target selectivity is often an advantage of peptides over other antimicrobials. A 2-pyridone nonapeptide tested against Neisseria gonorrheae and Neisseria meningitidis in animal studies by PTC Therapeutics, USA, showed that only the Neisseria species were susceptible, leaving Gram-positive gut bacteria unaffected. Bactericidal action was suggested to occur via DNA-biosynthesis inhibition. A pH-active peptide has been developed against Helicobacter pylori [92]. This AMP adopts a random coil conformation at the physiological pH of the bloodstream or the intestines, while in the strongly acidic medium of the stomach it assumes a helical conformation containing positive charges, which destabilize the membranes of the pathogen. This strategy enables selective targeting of the pathogen, while leaving the larger gastrointestinal tract microbial community intact.
Lipopeptides contain at least one lipid chain attached to the peptide head groups and are chiefly produced by bacteria to mediate competition with other bacteria, fungi, and viruses. They differ from other types of peptides due to the formation of self-assembled nanostructures contingent upon the intermolecular interactions between peptide molecules and the balance of hydrophilic and lipophilic groups. Modified derivatives of the antibiotic polymyxin containing substitutions to the cyclic heptapeptide and a fatty acid moiety were reported to be more potent than polymyxin itself by Cantab Anti-infectives, UK [93]. The lipopeptide Daptomycin (Cubicin™) [94] is used to treat systemic life-threatening Gram-positive bacterial infections, including multiple drug-resistant cases [95]. It alters the curvature of the bacterial cell membrane by aggregation, creating holes that leak ions. Rapid depolarization ensues, resulting in a loss of membrane potential leading to inhibition of protein, DNA, and RNA synthesis and killing the bacteria [96]. Surotomycin is a cyclic bactericidal peptide [97], which has been evaluated comparatively versus vancomycin and metronidazole for over 1000 intestinal strains [98]. It demonstrated lower recurrent rates and superior sustained clinical response rates for Clostridium difficile infections compared to vancomycin in phase 3 clinical trials [99].
Lantibiotics are peptides produced by Gram-positive bacteria containing rare post-translationally modified thioether amino acids, such as lanthionine (Lan) and methyllanthionine (MeLan); their biosynthesis, engineering, and mechanisms of action are reviewed elsewhere [100]. They are effective at low nanomolar concentrations, since Lan and MeLan induce the formation of intramolecular cyclic structures, offering resistance against bacterial proteases. Apart from the lanthionines, 17 other non-canonical amino acids, including didehydroalanine (Dha), didehydrobutyrine (Dhb), D-alanine, S-aminovinyl cysteine, lysinoalanine, and oxobutyrate, are found in lantibiotics. Due to their multiple modes of action, no notable resistance against lantibiotics has developed over decades. However, some bacterial strains are congenitally resistant against the prominent lantibiotic nisin [101]. Recently, two of the five lanthionine rings of nisin (rings D and E) were identified as playing a “fostering role” in the cleavage of nisin by the nisin resistance protein of Streptococcus agalactiae, paving the way for the synthesis of non-hydrolysable nisin analogues [102]. Bioengineering efforts have made it possible to modify the lantibiotic producing genes to create newer lantibiotic variants [103]. The LetM in vitro system was used to generate thioether and didehydro analogues of known non-lantibiotic peptides [104]. Pioneering in vivo studies enabled the introduction of dehydrated residues and thioether rings into non-lantibiotic peptides in Lactococcus lactis [105,106].
Glycoconjugate vaccines are carbohydrate antigens linked with proteins and were earlier created by randomly conjugating polysaccharides to basic or acidic residues on the surface of proteins. Mostly capsular polysaccharides were used, but glycoconjugation has been expanded to include O-antigens, exopolysaccharides, and teichoic acids [107]. Classical vaccines were obtained via isolation of polysaccharides directly from pathogens, but site-selective conjugations, protein modifications using unnatural amino acids and chemical or enzymatic modifications of native amino acids, and the bioengineering of carbohydrates (glycoengineering) are beginning to redefine this field [108]. Chemists can now also synthesize rare deoxy sugars found in bacterial cell surfaces, but not in humans, which may facilitate the development of new glycoconjugate vaccines [109].
All-D versions of peptides have been created by retroinversion (reversing the primary sequence and changing its amino acids to D-versions). However, this strategy is ineffective for helical peptides, since the direction of helix rotation does not change, leading to differences in orientation of particular groups with respect to the corresponding natural peptides. A new computational approach changes this situation by generating a D-version of every protein structure deposited in the PDB database [110]. After the D-PDB was thus created, all the D-protein α-helices were extracted, generating over 2.8 million files. Known protein-drug interactions were used to screen for D-helices that bound similarly to targets in silico to known protein and peptide drugs. Short D-strands created by retroinversion were used to link D-helices into D-analogues of known therapeutic peptides. This design strategy could enable the creation of novel completely synthetic AMP.
A unique post-translational modification arising out of a previously unknown non-canonical protein-splicing reaction was shown to introduce β-amino acids into proteins [111]. The β-amino acids are structurally distinct from the α-amino acids that occur in natural peptides and proteins, in that they contain two carbons between the amino and carbonyl groups. The enzyme PlpXY catalyzes this reaction by removing tyramine from a tyrosine-glycine pair. It splices the gap by joining the orphan carbonyl group with the carbonyl group of the adjacent amino acid, thereby converting the adjacent amino acid into its α-keto-β-amino form. The β-peptides are resistant to proteases in the body, apart from providing an extra keto group as a chemical handle for further modification. Both these features make the PlpXY system an attractive means to potentially synthesize novel AMP. Recent years saw the expanding repertoire of non-canonical amino acids incorporated into proteins produced by ribosomes, which has been covered in detail elsewhere [112]. Rather than modifying t-RNAs, codons, and ribosomes, the number of bases usable by DNA to encode proteins has been augmented from four to six [113]. The two artificial bases, dNaM and dTPT3, undergo complementary base pairing not by hydrogen bonding, but by hydrophobic stacking. The expanded genetic code was inserted into Escherichia coli, whereby unnatural proteins could be produced via translation. This breakthrough in semi-synthetic genetic code expansion could soon enable the production of designer antibiotic peptides and new vaccines.

3.2. Antibodies

The development of pathogen-specific monoclonal antibodies (mAb) is an emerging and highly promising area in infectious disease research. Passive immunization using serum therapy was used for the treatment of bacterial infections well before the discovery and development of antibiotics. However, due to the great success of antibiotics, the therapeutic potential of antibodies, the key molecular players of the adaptive immune system, has not been exploited fully. The successes of mAb-based therapies for cancers and autoimmune diseases and the increasing cases of antibiotic resistance have led many researchers to revisit this overlooked avenue of research. Currently, Palivizumab (brand name: Synagis), the only mAb-based antimicrobial on the market, is a humanized mAb approved against prophylaxis of respiratory syncytial viral (RSV) infection in neonates. Unlike antibiotics, mAb can be given prophylactically and have great scope in protecting vulnerable patients, such as those undergoing organ transplantations, bone-marrow transplantations, or in intensive care units. One of the key advantages of mAb over antibiotics is their exquisite target specificity and several are currently in the advanced developmental stages [114]. Thus, mAb could offer superior potency without adversely affecting the beneficial host microflora, while their high target specificity may provide less scope for selecting resistant strains.
Unlike polyclonal antibodies, mAb are structurally uniform and well-defined, offering excellent sample-to-sample consistency and superior on-target activity. However, polyclonal antibodies can simultaneously target multiple epitopes by different isotypes, but mAb cannot. This limitation could be overcome by administering a cocktail of mAb, targeting not only different epitopes of the same antigen but different antigens. The target affinity of each individual mAb against its antigen epitope is higher than that of a polyclonal antibody and better protection from the pathogen would be accomplished. The production of human and humanized mAb has been achieved, whereby the risks of immunogenicity and toxicity are significantly lower than with conventional mAb. In a noteworthy example, Rossmann and co-workers developed a method for selecting B-cell producing antibodies with high opsonic killing against Enterococcus faecalis 12030 in healthy individuals, and produced fully human mAbs offering in vivo protection against many multi-resistant Gram-positive bacteria [115].
Existing diversity among bacterial strains and the rapid evolution of viruses that can modify their surface proteins may lead to weak binding of antibodies, and leading to failure to provide protection. However, antibodies can be altered with molecular biology methods, and these engineered antibodies could bind multiple targets rather than just one, thereby increasing their potency. Recently, an antibody that could bind three different targets on the HIV-1 envelope, namely the CD4 binding site, the V1V2 glycan site, and the MPER (membrane proximal external region) simultaneously, was reported [116]. These broadly neutralizing antibodies (bnAb) performed better than previously known bnAb against a mixture of simian-HIV strains in non-human primates. Multi-specific engineered antibodies could thus have wider applications in antimicrobial therapy.

3.3. Phage-Based Strategies and CRISPR

Virulence reduction in bacteriophage resistant strains is known in multiple pathogenic bacteria [117]. It is a mechanism that bacteria cannot easily evade, since the same phages attenuate virulence both in natural environmental reservoirs and in humans. The ICP-1 phage of Vibrio cholerae targets the O1 surface antigen, which is important in human infections. V. cholerae usually evades this phage by mutations in the O1 antigen [118]. Similarly, the ICP-2 phage targets the outer membrane porin OmpU, which is also important in human infections. However, the ability to evade the ICP-1 and ICP-2 phages via mutations in the O1 antigen and the OmpU porin, respectively, compromises the ability of V. cholerae cells to survive the innate defenses of the human host. Similarly, 50–70% attenuation of virulence has been reported in phage-resistant P. aeruginosa, which harbor mutations in the O1 antigen and pilus [119]. Not all phage species are beneficial and they can incorporate genes for toxins and virulence factors into the genomes of bacteria. They can stay dormant for prolonged periods in bacterial cells, revive and infect other bacteria, spreading the virulence genes they carry in the process. Recently, a study of Salmonella enterica infections in mice reported that the host inflammatory response triggered the spreading of phage-based virulence among the bacteria [120]. Vaccination using engineered Salmonella that could not induce inflammation were shown to dramatically reduce the transmission of phage-based virulence between donor and acceptor strains, suggesting that suppressing host tissue inflammation is a way to contain such infections. Recent advances in the synthetic biology of phages make it possible to swap the tail domains of phages, thereby changing their host specificity [121]. Endolysins are enzymes secreted by bacteriophages and engineering them produces bactericidal “artilysins” [122]. These studies could stimulate the development of more generic phage-based approaches for controlling infections.
CRISPR (clustered regularly interspaced short palindromic repeats)/Cas9 was originally discovered in bacteria, where it is a form of adaptive immunity against bacteriophages [123]. RNA guides the Cas9 endonuclease to the phage DNA, which is cleaved and degraded. Following this discovery, other scientists repurposed CRISPR/Cas9 as a genome editing tool [124,125]. Soon, the self-targeting-induced cytotoxicity of CRISPR-Cas systems was reported, and researchers realized that the system could be used to immunize bacterial cells against plasmids containing multi-drug resistance genes [126,127,128]. CRISPR interference was shown to prevent the acquisition of virulence in vivo [129]. Cas9 was reprogrammed such that virulence genes could be selectively targeted with CRISPR-Cas9, enabling sequence specific killing of virulent strains, while leaving non-virulent ones of the same bacterium unaffected [129,130]. Soon afterwards, CRISPR-Cas systems were proposed as programmable antimicrobials; both endogenous and heterologous systems could selectively kill pathogenic bacteria, regardless of the target sequence [131]. While each engineered CRISPR-Cas system would be specific for one particular sequence, CRISPR itself could be broadly effective against any pathogenic bacterium.

3.4. Miscellaneous Antimicrobials

With increased understanding of the biology of specific diseases, new therapeutic enzymes, inhibitors, and vaccines specific to each pathogen may be produced. For example, the specific depolymerase EnvD [132], extracted from the soil bacterium, Pusillimonas noertemannii BS8, strips Bacilllus anthracis of its protective polypeptide capsule in the vegetative state, and enables mice to survive the inhalation of B. anthracis spores. Sugar-based bactericides have also been successful against Bacillus anthracis and Bacillus cereus, which often resist ciprofloxacin [133]. Species-specific compounds may be found in commercial compound libraries of potential antibiotics, even though they may have failed tests for broad-spectrum antibiotic activity. Therefore, repurposing old molecules from high throughput screening efforts may also be beneficial. Another strategy to limit microbial infection is to exploit the differences between the host and microbes in the structures of certain enzymes. Recently, a specific inhibitor, dubbed “Pseudouridimycin”, which binds to the active site of bacterial RNA polymerase, but not the human RNA polymerases, was reported [134]. Pseudouridimycin resembles the natural substrates of bacterial RNA polymerase and is expected to be effective against a range of drug resistant pathogens.
The new field of photopharmocology involves the synthesis of “smart drugs”, whose activity can be controlled by light. The incorporation of “photo-switch” structures into therapeutic molecules allows for the remote-control of their properties, an approach well-suited to reduce the unintended environmental effects of antibiotics contributing to resistance. Photo-activated analogues of ciprofloxacin and gramicidin S were reported, with the former study describing a 50-fold increase in activity with light-activation [135,136]. Earlier studies were confined to molecules activated by UV light, which is toxic to living cells and does not penetrate tissue easily. However, recent breakthroughs enabled the use of visible light of different wavelengths for tuning the bioactivity of various photo-switchable trimethoprim analogues tested against E. coli [137].
Metal acquisition is crucial for pathogenic bacteria during infections, since the host imposes metal limitation as a form of “nutritional immunity” [138]. Bacteria sequester not only iron, but also manganese and zinc [139,140]. Synthetic siderophores are structural analogues of natural small molecules produced by bacteria mainly to chelate iron and used in quorum sensing, and are well-tolerated by animal hosts with MIC (minimum inhibitory concentration) values in the nanomolar range. Tethering synthetic siderophores to regular antibiotics could be a broad strategy against Gram-negative bacteria. An ampicillin-siderophore conjugate was shown to kill P. aeruginosa, while a cephalosporin-siderophore conjugate could kill Acinetobacter baumannii [141]. Due to their structural similarity with natural bacterial molecules, siderophore analogues are thought to evade the efflux pumps that render common antibiotics useless.
In efforts to stem the rising tide of antibiotic resistance, small molecule inhibitors for multidrug efflux pumps and the bacterial conjugation machinery are being developed [142,143]. Efflux pump inhibitors (EPI) face the formidable obstacle that the multi-drug resistance (MDR) pumps of pathogens bind a large variety of chemically unrelated compounds. Nevertheless, efforts are on to identify the natural substrates of the MDR pumps, and a few generalizations could be made. Small polar compounds penetrated the MDR pumps easily, while zwitterions are also effective, since amphipathic cations are the assumed natural substrates. The inclusion of non-biological elements such as fluorine or boron increased the potency. A new, boron-containing class of antibiotic compounds with activity against Gram-negative bacteria was reported recently [144]. Bioassay-guided and high throughput strategies yielded EPI from plants and fungi, and synthetic analogues are known; EPI may perform better combined with other antimicrobials than alone [143,145].
Plasmid-borne resistance genes can be spread by bacterial conjugation, and the search for specific conjugation inhibitors (COINs) that block plasmid transfer is ongoing [142]. First, generation inhibitors were rather unspecific, having other confounding effects. The compound 2-hexadecynoic acid (2-HDA) is a simple compound readily accessible via chemical synthesis, which specifically inhibits conjugation in a broad range of donor cells [146]. Synthetic unsaturated fatty acid derivatives, in particular, are being used in efforts to prevent the transmission of antibiotic resistance among complex bacterial populations [147]. Targeting the bacterial assembly protein T4SS with small molecules was reported [148]. Other targets for COINs include the conjugative pilus and the relaxase protein, which initiates conjugation when the plasmid DNA is nicked. Luminescence-based high throughput conjugation assays are being applied to identify COINs in compound libraries [147].
Multi-hybrid antibiotics are large molecules containing structural domains from more than one antibiotic class. The best-known example is simocyclinone, which consists of distinct cyclic polyketide, deoxy sugar, polyene, and halogenated aminocoumarin moieties [149]. Using just 12 building blocks and one coupling reaction, about 75% of known polyene motifs could be synthesized [150]. Iterative biomimetic methods for polyketide synthesis have also emerged [151,152,153]. BGC-like modularity may soon be commonplace in natural product synthesis. Recent advances in synthetic chemistry have widened the range of sugar nucleotides and deoxy sugars accessible [154,155]. Together, these developments have created opportunities to create synthetic antibiotics in known classes as also synthetic and semi-synthetic multi-hybrid antibiotics by assembling separate domains.
Simple molecules like bicarbonate (a widespread buffer in the human body) are being studied for modulating the effects of antibiotics. Bicarbonate decreases the pH gradient across the cell membranes of bacteria, enhancing the uptake of aminoglycosides, but suppresses that of tetracyclines [156]. The bicarbonate effect is specific to the mechanism of action of each antibiotic. In response to a drop in the pH caused by bicarbonate, cells transport more ions across the membrane. This increased charge distribution enables aminoglycosides to cross the membrane effectively, enhancing their effects. Bicarbonate also ramped up the effectiveness of the natural defense peptide indolicidin 100-fold in an assay against E. coli [156]. Combining the antibiotic minocycline with non-antibiotic drugs enhanced therapeutic efficacy, with some success against multi-drug resistant strains [157]. More widespread use of enhancers might extend the clinical lifetime of existing antibiotics.

4. Antimicrobial Materials

Novel materials and technologies represent antibiotic-free ways to prevent microbial infections, but can also deliver antibiotics, as summarized in Table 2.

4.1. Nanomaterials

The rapid growth of nanotechnology in the recent decades has opened up new possibilities for controlling microbial infection based on novel materials. Nanoparticles have been used in a variety of drug delivery systems in recent years. A recent study reported that silica nanoparticles containing peppermint oil and cinnamaldehyde could penetrate biofilms and kill drug-resistant bacteria [158]. A 99.9% kill rate with this method has been reported for the biofilm pathogens P. aeruginosa, E. coli, Enterobacter cloacae, and S. aureus. The acidic milieu of biofilms breaks down the silica of the nanoparticles, releasing the antibiotics within. This approach has been shown to work in cell cultures, and the main applications are expected to be disinfection and wound cleaning. Cinnamaldehyde triggers the activity of fibroblasts, which are immune cells involved in wound healing. This is significant since biofilms are often resistant to antibiotic penetration.
Graphite, graphene, graphene oxide, and reduced graphene oxide were shown to have broad spectrum antimicrobial activities against bacteria and fungi [159]. Mixtures of graphene oxide with other simple substances have also been used for the same purpose. Graphene oxide kills bacteria by disrupting membranes as well as oxidation stress, whereas reduced graphene oxide traps bacteria [159]. The medical properties of silver and silver compounds have been known for 2000 years, but the antimicrobial activity of silver nanoparticles (size range 1–100 nm) has only been recognized since 2004 [160]. Silver nanoparticles can enhance the effect of commonly used antibiotics [161]. They have been used in wound dressings and commercial antimicrobial socks. Recently, silver nanoparticles were shown to kill the chlorine-resistant apicomplexan parasite Cryptosporidium parvum [162]. Many pathogens have become resistant to conventional disinfectants, necessitating increasing dosage and mixtures of disinfectants that may produce harmful by-products. Therefore, the incorporation of silver nanoparticles into filtration or water purification systems could prevent several types of water-borne illnesses. A novel example has been the use of multi-layered “Janus microbots”, containing silver nanoparticles as the disinfectant, a magnesium layer to help propel the microbots in water (via hydrogen evolution), and an iron layer to enable remote guidance via magnetism [163]. The microbots (along with the dead bacteria) can simply be collected after disinfection, thereby cleaning the water in one step and leaving no contaminants behind.
Nanoscale organic-inorganic hybrid particles, called “nanoflowers”, which are loaded with the enzymes, glucose oxidase (causing a pH change upon consuming glucose), and ConA (which binds the lipopolysaccharide O-antigen), have enabled the detection of food pathogens, including E. coli O157:H7, Salmonella, and Listeria monocytogenes, using simple pH meters [164]. While the application of modified viruses and different types of coated nanoparticles as antimicrobials has emerged in recent years, novel bacteriophage-shaped polymer nanoparticles have been shown to kill pathogenic bacteria, including some antibiotic resistant strains, such as multi-drug resistant P. aeruginosa, while leaving human cells unharmed [165]. Apparently, the particles’ geometry is the key property, enabling them to rupture the more curved bacterial cell membranes while not affecting the relatively flat lipid membranes of human cells. Other nanomaterials, such as chitosan-modified gold nanoparticles, can be conjugated with liposomes encapsulating antibiotics. Antibiotic release from liposome-conjugates triggered by bacterial toxins has been demonstrated [166]. When the conjugates encounter bacteria that secrete pore-forming toxins, the toxins insert into the liposomes, pores are formed, and the antibiotic within escapes. This mode of antibiotic release is more selective than unrestricted release from liposomes under physiological conditions.

4.2. Materials and Techniques Targeting Biofilms

Biofilms contain a tough protective polysaccharide layer, conferring resistance to antibiotics. They form on the surface of medical implants and inside wounds. Recently several biomedical firms in Germany and the United States have been developing spider silk protein for coating catheter implants and medical devices. The build-up of bacteria on these device surfaces is prevented by spider silk, which could lead to significant savings for patients. Recombinant spider silk has been used in many studies and recent research also demonstrated the possibility of conjugating organic ligands to spider silk, creating variants with fluorescent or antibiotic properties using “click” chemistry [167]. It is possible that commercial antibiotic dressings made of spider silk will be available within the next few years, especially for treating conditions such as diabetic ulcers.
Biofilm removal is a priority in the treatment of wounds, since the biofilm delays the healing process, resulting in a chronic wound infection. Electrical stimulation (ES) was originally used a century ago for wound treatment and has been applied in dermatology [168,169,170,171]. ES can eliminate biofilms from infected wound surfaces, enhancing wound healing. However, it was not widely applied because knowledge of the antibacterial mechanisms involved and standardized applications were lacking [168,169,170,171,172,173]. However, the rise in antibiotic resistance led renewed interest in ES. In a recent study, bacteria in biofilms were effectively killed by using electricity to release small amounts of hydrogen peroxide continuously via a conductive carbon fabric [174]. Electrochemical H2O2 generation thus represents a novel antibiotic-free way to keep wounds free from bacterial infection. Another strategy to tackle biofilms employs magnetotactic Magnetospirillum bacteria as swimmers delivering antibiotics into them [175]. The swimmers consist of mesoporous silica tubes filled with antibiotics, tethered to the magnetic bacteria. Under the influence of an external magnetic field, the swimmers enter the low oxygen environment of E. coli biofilms and the low pH of the biofilms triggered the breakdown of the silica microtubes, releasing the antibiotic. Although host immune reactions could destroy them, these hybrid swimmers could be explored further.

5. Technological Advancements in Diagnostics and Screening

Technologies for screening and diagnostics relevant to infectious diseases are exploding in the commercial sector. An overview of a few prominent examples is presented in Table 3.

5.1. Infection Monitoring Technologies

Functional markers of antibiotic resistance that can be followed to identify pathogens are enzymes that directly degrade or modify antibiotics, mechanisms blocking antibiotics from reaching their targets, key resistance factors (specific genes and proteins), changes in intracellular composition or secreted products, and changes in cellular expression induced by antibiotics. Many newer methods offer results of antibiotic susceptibility testing in 2–6 hours instead of the days needed for traditional agar-based methods. Changes in morphology or other parameters can be monitored continuously in real time, an especially useful approach for well-known pathogens. With recent improvements to mass spectrometry techniques, such as MALDI-TOF MS and ESI-MS, and next-generation MS methods, new opportunities to track microbial diseases have arisen. MS-based strategies may involve tracking changes in metabolism through the use of stable isotope probes, such as amino acids. The detection of antibiotic response in real time, DNA sequencing based on MS technologies, the detection and quantification of metabolite profiles of growing cells, the direct detection of virulence factors, and following the penetration of antibiotics into cells have been facilitated by recent platforms. Other methods combine chromatography with mass spectrometry, such as GC-MS for metabolomics. One important development was the introduction of an MS-based spectral imaging system, which enables three-dimensional study of cellular contents at the nanoscale [176].
Monitoring the growth of pathogens in real time using microscopy has been important in identifying and treating infections. Manual monitoring is tricky and time consuming, and therefore, automated monitoring is growing. Automated digital microscopy in real time on agar media was introduced recently by Accelerate/QuantaMatrix, while real-time liquid phase microscopy in an ELISA layout was introduced by Biocell/Philips. Other than new-generation microscopes, devices such as a laser scatter device, which uses immobilized bacteria and detects morphological changes in single cells (BacterioScan Inc.), and a Fourier transform Infrared (FT-IR) spectrometer, which detects phenotypic changes upon interaction of cells and antibiotics in about 10 minutes (Spectromics Ltd, Manchester, UK), have entered the market.
A microfluidics device that measures changes in electrical conductivity in droplets containing bacteria was able to determine if they were alive or dead [177]. This is interesting, since the method does not depend on cell type or concentration, and is “label-free”. Further development is expected to lead to array-format electrical sensors for lab-on-a chip applications. Microfluidics has also been used in combination with acoustic tweezers to sort cells according to their response to drug candidates [178]. Another recent development is a chip which enables co-cultivation of gut microbes and epithelial cells of the human intestines [179]. Such “Gut-on-a-chip” technologies help simulate the human gut in health and disease, contributing to better understanding and future therapeutic interventions. Microfluidics for monitoring antibiotic resistance is also a rapidly advancing field [180]. Microfluidic chips for single cell sequencing of uncultured microbes have emerged, which makes high-throughput culturing and genome sequencing of unknown microbes possible [181].
The infection of implants is a major issue affecting the outcome of surgery, especially for orthopedic or trauma patients. Implants may also loosen aseptically due to mechanical causes or due to septic infections, but traditional radiology and biopsy culture-based methods cannot distinguish between the two scenarios. An AMP called UBI was tethered to a hybrid label containing both a fluorescent group and a radioactive isotope, and it was demonstrated that the AMP-conjugate selectively accumulated at the site of bacterial infections [182]. Distinguishing septic infection from inflammation has thus been enabled by a specific labelling approach.

5.2. Direct in-Sample Technologies

The need for enrichment, culture, or sample preparation is a major reason for the delay between obtaining clinical samples and analyzing them. Therefore, directly in-sample detection methods for pathogens were launched. In a magnetic resonance-based platform introduced by T2 MR, proprietary particles are coated with specific binding agents. Encountering a target, the particles bind to and cluster around it, modifying the arrangement of water molecules in that sample and thereby changing the magnetic resonance signal. The change in the signal correlates with the absence, presence, or concentration of the target, tolerating interferences likely present in bodily fluids. Testing for amplified DNA probes attached to particles using magnetic resonance spectra combined with PCR; this system can deliver results in about 2 hours. The ability to analyze antibiotic susceptibility or identify multi-drug resistance without further processing of clinical samples is advantageous. Geneweave/Roche launched the “Smarticles” technology based on the delivery of “smart particles” with specific probes. Upon binding of targets with the probes, these “Smarticles” generate luciferase-mediated fluorescence in live cells directly in clinical samples, enabling rapid automated analysis. Lifescale Analytics introduced a device which measures changes in cell mass directly on clinical specimens. The Oxford Nanopore MinION sequencer offers portability, speed, and relatively long read lengths. For example, MinION-based analysis of urine samples generated data enabling the direct detection of pathogens four times faster than traditional culture-based methods [183].

5.3. Point-of-Care Devices

The development of integrated diagnostic work-flows designed for the Point-of-Care (the doctor’s office or health center), rather than specialized medical labs, promises to reduce the delay between sample collection and analysis. Speeding up diagnosis could help the patient before the disease proliferates, an important consideration for tackling fast-progressing infections, epidemics, or infections in remote or low-income settings with unreliable power and transport facilities. Recently, the fabrication of a microfluidic device able to separate serum from cells in a single drop of blood was reported [184]. PCR amplification of DNA from the samples could be performed in situ, since the necessary reagents were patterned into wells present in the device. Heating the whole assembly in an oven enabled the detection of viral RNA or bacterial DNA in the range of 101–105 copies/µL. A rapid and inexpensive assay to distinguish between influenza and bacterial infections has been recently developed [185]. The test uses an artificial sialic acid conjugate of galactose that is cleaved only by viral, but not bacterial, neuraminidases, and the released galactose can be detected by a common hand-held glucose meter. The integration of new biochemical tests with existing medical devices and emerging Point-of-Care devices could potentially revolutionize the field of infection diagnostics.

6. Ecological Management

It has become clear in recent years that the resident microbiome is critical to human health. Rather than attacking pathogens directly with drugs, ameliorating the damage to the host via microbiome engineering might be a preferable strategy for countering infectious diseases. This could reduce the need for antibiotics as a broad catch-all strategy for countering microbial disease. In order to design future interventions into the microbiome, ecological interactions between members of microbiomes and host-microbiome interactions need to be studied and understood.

6.1. Probiotics, Synbiotics and Prebiotics

Two approaches involving microbiome-related interventions are worth mentioning, namely probiotics and prebiotics. The Nobel laureate Élie Metchnikoff had in 1907 already suggested that "the dependence of the intestinal microbes on the food makes it possible to adopt measures to modify the flora in our bodies and to replace the harmful microbes by useful microbes” [186]. Currently, “probiotic” is the designation for microorganisms, which upon ingestion are beneficial for humans or domestic animals [187,188]. Several reviews have been written on the subject and many commercial food products and supplements are being sold as purported “probiotics”. The benefits of Lactobacillus and Bifidobacterium species have been researched intensively. Lesser known strains include Bacillus clausii Strain O/C, which secretes factors inhibiting the cytotoxic effects of the toxins from Clostridium difficile and Bacillus cereus [189]. Clostridium tyrobutyricum was shown to be protective against induced ulcerative colitis in mice [190].
A prebiotic is defined as a “selectively fermented ingredient that allows specific changes, both in the composition and activity in the gastrointestinal microflora that confers benefits upon the host’s well-being and health” [191,192]. Synergistic combinations of probiotics and prebiotics are called synbiotics [191]. Prebiotics commonly exhibit the properties of resistance to gastric acid, hydrolytic mammalian enzymes, and absorption in the gastrointestinal tract, as well as fermentation by the microbes of the intestine, and specific stimulation of bacterial activity and growth in the intestines, leading to the maintenance of host health and well-being [192,193]. Presently, a few categories of compounds considered to satisfy the above definition of prebiotics include fructo- and galacto-oligosaccharides, lactulose, and indigestible carbohydrates. The indigestible carbohydrates include inulin, pectins, gums, cellulose, and hemicellulose among the larger polysaccharides, and oligosaccharides, sugars, and alcohols, which cannot be absorbed by the host intestines. Fructo-oligosaccharides and inulin are hydrolyzed by Bifidobacteria and stimulate their growth, which in turn contributes to intestinal homeostasis and inhibits the growth of pathogens [194,195,196].
Short chain fatty acids (SCFA), for example, acetic acid, propionic acid, and butyric acid, are produced as the end products of carbohydrate and amino acid catabolism. Epithelial cells in the colon derive energy from gut microbes performing carbohydrate fermentation [197]. SCFA are able to induce apoptosis (programmed cell death), lowering the risk of developing not only gastrointestinal disorders, but also cardiovascular diseases and cancers [198,199]. Butyrate production by resident Clostridium species in the gut induces colonic regulatory T-cells in the host, suppressing its immune reactions, including the inflammation of the intestinal mucosa, which is implicated in many diseases [200]. More research into simple small molecules able to modulate the microbiome, whether or not strictly prebiotic, may prove fruitful.

6.2. Understanding Ecological Interactions in Health and Disease

6.2.1. Host-Microbiome Interactions

Members of the resident microbiome can switch their lifestyle, from beneficial or just commensal to pathogenic, sometimes triggered through relocation of a given microbial species from its normal niche to another where it is normally absent. Injury or trauma, stress, or reduced immunity of the host can also trigger the switch. Bacteroides thetaiotaomicron is a beneficial member of the human gut microbiome, which ferments carbohydrates and stimulates host immune development. However, migration to other organs, such as the brain, lungs, or liver, causes it to become pathogenic [201]. Streptococcus pneumoniae is a commensal of the human respiratory system, where it produces hydrogen peroxide to kill competing bacteria. In the bloodstream, lungs, and inner ear, it causes infection by secreting a pore forming toxin [202]. S. aureus is a normal resident of human skin, and nasal cavity which can cause systemic sepsis if it enters the bloodstream [203].
The interplay between human hosts and bacterial pathogens is well-studied. However, in many cases, an important role could be played by the bacterial community in the development of infectious disease. Antibiotic treatments often induce diarrhea due to the disturbances to the indigenous microflora of the gut. The major mechanism is proposed to be the alteration of intestinal barrier function and reduced resistance to pathogens and altered metabolism of SCFAs and bile acids [204]. Probiotics, including the yeast Saccharomyces boulardii and many Lactobacilli, such as Lactobacillus acidophilus, Lactobacillus rhamnosus GG, Lactobacillus delbruckii, and Lactobacillus fermentum, effectively reduce the occurrence of antibiotic-induced diarrhea [205]. Of particular concern is the increased vulnerability of patients to Clostridium difficile infections followed prolonged antibiotic administration [206]. Eradication of other members of the gut microbiome, which are normally protective, may enable Clostridium difficile to thrive. This “niche vacation” hypothesis is further supported by the fact that Clostridium difficile infections were ameliorated with species present in the fecal pellets from healthy volunteers used in “faucal transplant therapy” [207,208]. The material used for the therapy later became available in capsule form [209]. Prior to bloodstream infection by vancomycin-resistant Enterococcus (VRE) species in immuno-compromised patients, Lactobacilli and related genera in the gut are replaced by Clostridia and Enterobacteriaceae [210]. Not surprisingly, some VRE patients respond well to fecal transplants, with the beneficial microbe being identified as a Barnesiella species [211]. Even two different strains of the same species can interact; horizontal gene transfers conferring plasmid-borne resistance to multiple antibiotics were already reported by 1974 [212]. However, in the context of the human microbiome, antibiotic-sensitive commensal bacteria can also compete out their resistant peers of the same species, as reported for Enterobacter faecium [213]. Interestingly it was reported that commensal Entercoccus faecalis strains turned the mobile genetic elements of the vancomycin-resistant Enterococcus faecalis V583 strain against the latter, effectively killing them [214].
In the ecological sense, infection can happen when new niches are opened up due to direct damage to the host itself, or when existing niches are emptied of beneficial bacteria, creating a colonization opportunity for pathogens. “Colonization resistance” is the protective effect of the microbial community composition against pathogens [215]. Direct antagonism between two species was reported in a study of mice; the Escherichia coli strain Nissle 1917 could prevent Salmonella typhimurium infection by sequestering iron [216]. Vibrio cholerae contains several genes enabling it to resist the Type VI secretion systems of many normal intestinal microbes [217]. Several members of the microbiota are capable of inhibiting colonization by Vibrio cholerae, and recovery from cholera involves recolonization by indigenous “healthy bacteria” [61]. Subjects with a certain skin microbiome composition were resistant to a sexually transmitted disease, and knowing the skin microbiome composition could be a strategy to identify people at risk of infection [218]. There are differences between single and mixed infections, due to cooperative and competitive interactions between bacteria involved in quorum sensing [219]. In synthetic media, Pseudomonas aeruginosa cells with mutations in the lasR gene are out-competed by the wild type, since the former do not respond to quorum sensing. However, in mixed culture, lasR mutants of Pseudomonas aeruginosa become “social cheaters”, gaining an advantage by exploiting the exoprotease production of wild-type cells [219,220]. This could explain the observation that lasR and other quorum sensing mutants persist in infections, even though “loss of function” mutations may be deleterious.

6.2.2. Inter-Microbial Interactions

Bacteria and fungi form many kinds of extracellular and intracellular associations. The gene expression of bacterial as well as fungal pathogens can change in the presence of the other. Bacteria-fungi interactions (BFI) are known in cheese, where the hyphae of Mucor fungi form “superhighways”, through which the bacterial pathogens, such as Listeria, can spread [221]. There are many bacterial-fungal co-infections of burn wounds and keratitis [222,223,224,225,226,227,228,229]. The lungs of immuno-compromised individuals are often the sites of bacterial-fungal “superinfections”, notably involving Pseudomonas aeruginosa and fungi, such as Candida albicans and Aspergillus fumigatus, which may worsen lung function [227,230]. Clinical studies have been focused on the yeast Candida albicans occurring in the buccal, dermal, and intestinal microbiomes, and a causative agent for a number of infections [231]. In the presence of Candida albicans, Staphylococcus aureus shows enhanced biofilm formation and resistance to vancomycin in serum [232,233,234]. Escherichia coli and Staphylococcus aureus are synergistic Candida albicans co-pathogens and cause increased mortality in animal models of polymicrobial peritonitis [235,236,237]. Bacterial small molecules affect the critical yeast-hyphal morphological transition of fungi during pathogenesis. This transition in Candida albicans is inhibited by SCFA from lactic acid bacteria [238] and mutanobactin A from Streptococcus mutans [239]. Hyphal growth is induced by cell wall peptidoglycan, while Candida albicans farnesol production modifies bacterial virulence by interfering with quorum sensing [240,241]. Cryptococcus neoformans utilizes homogentisic acid produced by Klebsiella aerogenes, as a precursor for melanin pigments, which protect against ultraviolet radiation and cause increased virulence [242,243].
The presence of antibiotics exerts a selective pressure, which favors the survival of antibiotic resistant fungi and bacteria. Physical contact and environmental cues, such as nutritional conditions, can modulate co-adherence between Candida albicans and oral bacteria [244]. Staphylococcus aureus associates with the hyphae of Candida species, which provides a mechanism for the bacterial invasion of otherwise inaccessible tissues, such as epithelial layers [245]. Candida albicans strongly enhanced the biofilm formation on polystyrene by Staphylococcus aureus, with the latter adhering to the fungal hyphae in a poly-microbial biofilm rather than the plastic substrate [233]. Similar effects may be important for the colonization of medical devices by a range of microbes [246]. Mixed bacterial-fungal biofilms are of considerable medical interest due to their prevalence in certain infections [247] and on the surface of medical devices, such as catheters, prostheses, and mechanical ventilators [248,249]. However, clinical therapies have been developed to target either fungal or bacterial infections, failing to consider co-infection, with the mixed communities showing virulence and resistance properties significantly different from those of the single species [228,229]. An understanding of BFI in human health is, therefore, an important emerging medical challenge. However, not all BFI are pathogenic to animal hosts. The first probiotic BFI effect was demonstrated by the use of Saccharomyces boulardii to combat antibiotic-associated diarrhea caused by the loss of indigenous microbes after antibiotic therapy and subsequent colonization by bacterial pathogens like Clostridium difficile [250]. The protective effect of Saccharomyes boulardii has been attributed to mechanisms, such as the degradation of Clostridium difficile toxins by yeast proteases and the alteration of E. coli lipopolysaccharide by a yeast phosphatase [251,252,253]. In the presence of Saccharomyces boulardii, reductions in bacterial adherence, colonization of intestinal epithelial cells, and expression of virulence factors were reported for Citrobacter rodentium colon infections [254].
The role of predators in the ecology of macroscopic animals is well-established. Predation probably plays an equally important role in microbial communities, but has received much less attention. Obligate predatory bacteria that consume Gram-negative bacteria for nutrients and reproduction, namely the Bdellovibrio and like organisms (BALOs), which include the genera Bdellovibrio, Bacteriovorax, Peredibacter, and Halobacteriovorax [255,256]. BALOs were first used in agriculture in the 1970s as a form of biological control for Pseudomonas syringae bacterial blight disease in soybeans [257]. Studies on Bdellovibrio and Halobacteriovorax species increased in recent years and predatory bacteria are beginning to be recognized as keystone species in their ecosystems, termed “living antibiotics” [258]. Both Bdellovibrio and Halobacteriovorax species can attack a variety of Gram-negative bacteria, such as Caulobacter crescentus [255], Escherichia coli, Klebsiella pneumoniae [259], and Salmonella species [259], and are therefore important in controlling potential human pathogens in soil and aquatic reservoirs. Control of Vibrio cholerae in white-leg shrimps using Bdellovibrio bacteriovorus was demonstrated in China recently [260]. The use of predatory bacteria to check the proliferation of pathogens in aquaculture and animal husbandry, where antibiotic resistance is already a major issue, could be crucial in controlling future outbreaks of food-borne diseases.

6.3. Wider Ecology and One Health

It is known that many pathogens have distinct life-cycles or life-cycle stages in different species of hosts, some of which are merely reservoirs, while others suffer from disease symptoms. Salmonella enterica, a human pathogen, benefits from interactions with plant pathogens [261]. It enters soft rot lesions in tomatoes and thrives in the company of Pectobacterium carotovorum, which secretes enzymes to degrade plant cell-walls that it lacks. Other bacteria also protect plant surfaces, such as edible leaves, against colonization by human pathogens such as Eshcerichia coli O157:H7 [262]. Some human pathogens have reservoirs in non-human animals and some have many hosts; for example, Salmonella enterica serovar Typhimurium can infect around 40 metazoan species including humans [263]. Therefore, the divide between human and veterinary medicine could be affecting efforts to curb infectious diseases.
In the One Health view, human beings, farm animals, crops, and wildlife form an inter-connected system. Managing disease outbreaks or the flow and disposal of antibiotics into ecological reservoirs, such as soil or water, should not be isolated exercises aimed solely at human beings. Widespread antibiotic resistance occurs among farm animals and in food products derived from them [264]. Pets, feral animals, and wildlife also show the same trend [265]. In this context, an integrated approach to monitor and restrict the use and dispersal of antibiotics via animal husbandry, medical waste, and wastewater would certainly be beneficial in the long term. It has been suggested that the bush-meat trade in infected bats reaching new population centers at the edge of formerly undisturbed forests could have played a role in the most recent Ebola outbreak in West Africa. Thus, the opening up of forests due to human population pressures and climate change may bring diseases once confined to small populations of forest-dwellers into more thickly populated urban areas in the economically less-developed regions of the world. This calls for the inclusion of animal and environmental health in public health programs designed for poorer countries. Richer temperate zone countries in the could also be affected by an increased incidence of infectious diseases spreading farther due to global warming enhancing the survival rates of insects and other arthropod vectors at higher latitudes. Thus, climate change would need to be taken into account in public health plans for these countries.

7. Conclusions

There have been a number of promising developments in the field of antimicrobials recently, as outlined in this review. It takes 10–15 years for a new drug molecule to reach the market from its initial discovery. Most of the molecules discussed in this article are still in the early stages of discovery; a few have made it to clinical studies and they are listed in Table 4. Those in phase 3 clinical studies could be expected to be on the market in the next few years. Nevertheless, many challenges remain and technical developments alone will not be enough; major policy decisions and practical measures are needed to fight infectious diseases. Even so, developments in such areas remain mixed. For example, several large food corporations promised action on checking misuse of antibiotics in animal husbandry, but troubling questions remain on the implementation, due to a lack of binding rules. Also, antibiotic production facilities in many countries are not equipped to deal with pharmaceutical waste, and as a result, widespread antibiotic resistance has been reported among bacteria in wastewater and soil adjacent to effluent treatment plants [266,267]. The withholding of negative data from clinical trials and the suppression of the structural details of new drugs via commercial patents also hinder the multinational, multi-institutional, and multidisciplinary approaches needed to tackle epidemic situations, like the 2015 Ebola outbreak. However, the development of the Zika vaccine demonstrated more concerted action in the Americas, which is encouraging.
Up to 80 percent of antibiotics are prescribed by healthcare providers or purchased directly by consumers or caregivers, without prescription in some countries [268]. Non-prescription antibiotics were more likely to be used by patients in public health facilities, who were often less educated and had lower annual incomes [269]. Greater efforts are thus needed in raising awareness about antibiotic misuse among sections of the public with lower education and socio-economic status. Careful drug management can reduce the incidence of drug-resistant infections and prolong the effectiveness of antibiotic arsenals, according to a new study of ciprofloxacin use [269]. Under a stewardship program, whereby a multidrug panel was tested with the mandate that ciprofloxacin susceptibility be reported if, and only if, there was no other susceptibility. A strong reduction in ciprofloxacin use was observed, which correlated with increasing susceptibility in clinical Eshcerichia coli isolates towards this antibiotic. Some countries already have stewardship programs in place, and a wider adoption of such programs at the national and regional level could be beneficial globally in limiting the rise of resistance towards various antibiotics. In the last few years, governmental agencies in the EU and the US have been more proactive in framing guidelines for antibiotic use, which is encouraging. More coordination between different players in the public health scenario and concerted efforts are needed to effectively tackle the growing threat of antibiotic resistant infections.

Author Contributions

P.K.M., A.P., A.O.H., and K.A.K. wrote the original manuscript. A.P., A.O.H., and R.C.J.D. wrote the revised versions.


This research was funded by the National Institutes of Health (NIH) grant number RG15GM120653 to A.O.H.


A.O.H. and A.P. acknowledge the support of the Thomas H Gosnell School of Life Sciences (GSoLS) and the College of Science (COS) at the Rochester Institute of Technology. K.A.K. acknowledges the support of Durham University, Durham, UK.

Conflicts of Interest

The authors declare no conflict of interest.


  1. Thornsberry, C.; Sahm, D.F.; Kelly, L.J.; Critchley, I.A.; Jones, M.E.; Evangelista, A.T.; Karlowsky, J.A. Regional Trends in Antimicrobial Resistance among Clinical Isolates of Streptococcus pneumoniae, Haemophilus influenzae, and Moraxella catarrhalis in the United States: Results from the Trust Surveillance Program, 1999–2000. Clin. Infect. Dis. 2002, 34 (Suppl. S1), S4–S16. [Google Scholar] [CrossRef]
  2. Palumbi, S.R. Humans as the World’s Greatest Evolutionary Force. Science 2001, 293, 1786–1790. [Google Scholar] [CrossRef] [PubMed]
  3. Walsh, C. Antibiotics: Actions, Origins, Resistance; ASM Press: Washington, DC, USA, 2003; ISBN 9781555817886. [Google Scholar]
  4. Gelband, H.; Miller-Petrie, M.; Pant, S.; Gandra, S.; Levinson, J.; Barter, D.; White, A.; Laxminarayan, R. State of the World’s Antibiotics. Wound Heal. S. Afr. 2015, 8, 30–34. [Google Scholar]
  5. Coates, A.; Hu, Y.; Bax, R.; Page, C. The Future Challenges Facing the Development of New Antimicrobial Drugs. Nat. Rev. Drug Discov. 2002, 1, 895–910. [Google Scholar] [CrossRef] [PubMed]
  6. Outterson, K.; Gopinathan, U.; Clift, C.; So, A.D.; Morel, C.M.; Røttingen, J.A. Delinking Investment in Antibiotic Research and Development from Sales Revenues: The Challenges of Transforming a Promising Idea into Reality. PLoS Med. 2016, 13, e1002043. [Google Scholar] [CrossRef] [PubMed]
  7. Hudson, A.O.; Gilvarg, C.; Leustek, T. Biochemical and Phylogenetic Characterization of a Novel Diaminopimelate Biosynthesis Pathway in Prokaryotes Identifies a Diverged Form of Ll-Diaminopimelate Aminotransferase. J. Bacteriol. 2008, 190, 3256–3263. [Google Scholar] [CrossRef] [PubMed]
  8. Triassi, A.J.; Wheatley, M.S.; Savka, M.A.; Gan, H.M.; Dobson, R.C.; Hudson, A.O. L,L-Diaminopimelate Aminotransferase (Dapl): A Putative Target for the Development of Narrow-Spectrum Antibacterial Compounds. Front. Microbiol. 2014, 5, 509. [Google Scholar] [CrossRef] [PubMed]
  9. Gonzalez-Bello, C. Inhibition of Shikimate Kinase and Type II Dehydroquinase for Antibiotic Discovery: Structure-Based Design and Simulation Studies. Curr. Top. Med. Chem. 2016, 16, 960–977. [Google Scholar] [CrossRef] [PubMed]
  10. Lee, C.E.; Goodfellow, C.; Javid-Majd, F.; Baker, E.N.; Shaun Lott, J. The Crystal Structure of Trpd, a Metabolic Enzyme Essential for Lung Colonization by Mycobacterium Tuberculosis, in Complex with Its Substrate Phosphoribosylpyrophosphate. J. Mol. Biol. 2006, 355, 784–797. [Google Scholar] [CrossRef]
  11. Czekster, C.M.; Neto, B.A.; Lapis, A.A.; Dupont, J.; Santos, D.S.; Basso, L.A. Steady-State Kinetics of Indole-3-Glycerol Phosphate Synthase from Mycobacterium tuberculosis. Arch. Biochem. Biophys. 2009, 486, 19–26. [Google Scholar] [CrossRef]
  12. Shen, H.; Yang, Y.; Wang, F.; Zhang, Y.; Ye, N.; Xu, S.; Wang, H. Characterization of the Putative Tryptophan Synthase Beta-Subunit from Mycobacterium tuberculosis. Acta Biochim. Biophys. Sin. 2009, 41, 379–388. [Google Scholar] [CrossRef] [PubMed]
  13. Roberts, C.W.; Roberts, F.; Lyons, R.E.; Kirisits, M.J.; Mui, E.J.; Finnerty, J.; Johnson, J.J.; Ferguson, D.J.; Coggins, J.R.; Krell, T.; et al. The Shikimate Pathway and Its Branches in Apicomplexan Parasites. J. Infect. Dis. 2002, 185 (Suppl. S1), S25–S36. [Google Scholar] [CrossRef]
  14. Campbell, S.A.; Richards, T.A.; Mui, E.J.; Samuel, B.U.; Coggins, J.R.; Mcleod, R.; Roberts, C.W. A Complete Shikimate Pathway in Toxoplasma Gondii: An Ancient Eukaryotic Innovation. Int. J. Parasitol. 2004, 34, 5–13. [Google Scholar] [CrossRef] [PubMed]
  15. Johnston, C.W.; Skinnider, M.A.; Dejong, C.A.; Rees, P.N.; Chen, G.M.; Walker, C.G.; French, S.; Brown, E.D.; Bérdy, J.; Liu, D.Y.; et al. Assembly and Clustering of Natural Antibiotics Guides Target Identification. Nat. Chem. Biol. 2016, 12, 233–239. [Google Scholar] [CrossRef] [PubMed]
  16. Ling, L.L.; Schneider, T.; Peoples, A.J.; Spoering, A.L.; Engels, I.; Conlon, B.P.; Mueller, A.; Schäberle, T.F.; Hughes, D.E.; Epstein, S.; et al. A New Antibiotic Kills Pathogens without Detectable Resistance. Nature 2015, 517, 455–459. [Google Scholar] [CrossRef]
  17. Srinivas, N.; Jetter, P.; Ueberbacher, B.J.; Werneburg, M.; Zerbe, K.; Steinmann, J.; Van Der Meijden, B.; Bernardini, F.; Lederer, A.; Dias, R.L.; et al. Peptidomimetic Antibiotics Target Outer-Membrane Biogenesis in Pseudomonas aeruginosa. Science 2010, 327, 1010–1013. [Google Scholar] [CrossRef] [PubMed]
  18. Ghssein, G.; Brutesco, C.; Ouerdane, L.; Fojcik, C.; Izaute, A.; Wang, S.; Hajjar, C.; Lobinski, R.; Lemaire, D.; Richaud, P.; et al. Biosynthesis of a Broad-Spectrum Nicotianamine-Like Metallophore in Staphylococcus aureus. Science 2016, 352, 1105–1109. [Google Scholar] [CrossRef]
  19. Waters, C.M.; Bassler, B.L. Quorum Sensing: Cell-to-Cell Communication in Bacteria. Annu. Rev. Cell Dev. Biol. 2005, 21, 319–346. [Google Scholar] [CrossRef]
  20. Thoendel, M.; Horswill, A.R. Identification of Staphylococcus aureus Agrd Residues Required for Autoinducing Peptide Biosynthesis. J. Biol. Chem. 2009, 284, 21828–21838. [Google Scholar] [CrossRef]
  21. Miller, M.B.; Bassler, B.L. Quorum sensing in bacteria. Annu. Rev. Microbiol. 2001, 55, 165–199. [Google Scholar] [CrossRef]
  22. Vendeville, A.; Winzer, K.; Heurlier, K.; Tang, C.M.; Hardie, K.R. Making ‘Sense’ of Metabolism: Autoinducer-2, Luxs and Pathogenic Bacteria. Nat Rev Microbiol 2005, 3, 383–396. [Google Scholar] [CrossRef] [PubMed]
  23. Hoffmann, N.; Lee, B.; Hentzer, M.; Rasmussen, T.B.; Song, Z.; Johansen, H.K.; Givskov, M.; Høiby, N. Azithromycin Blocks Quorum Sensing and Alginate Polymer Formation and Increases the Sensitivity to Serum and Stationary-Growth-Phase Killing of Pseudomonas aeruginosa and Attenuates Chronic P. aeruginosa Lung Infection in Cftr(-/-) Mice. Antimicrob Agents Chemother 2007, 51, 3677–3687. [Google Scholar] [CrossRef] [PubMed]
  24. Brackman, G.; Coenye, T. Quorum Sensing Inhibitors as Anti-Biofilm Agents. Curr Pharm Des 2015, 21, 5–11. [Google Scholar] [CrossRef] [PubMed]
  25. Han, X.; Lu, C. Biological Activity and Identification of a Peptide Inhibitor of Luxs from Streptococcus suis Serotype 2. FEMS Microbiol Lett 2009, 294, 16–23. [Google Scholar] [CrossRef] [PubMed]
  26. Zhang, M.; Jiao, X.D.; Hu, Y.H.; Sun, L. Attenuation of Edwardsiella tarda Virulence by Small Peptides That Interfere with LuxS/Autoinducer Type 2 Quorum Sensing. Appl Environ Microbiol 2009, 75, 3882–3890. [Google Scholar] [CrossRef]
  27. Lee, J.E.; Singh, V.; Evans, G.B.; Tyler, P.C.; Furneaux, R.H.; Cornell, K.A.; Riscoe, M.K.; Schramm, V.L.; Howell, P.L. Structural Rationale for the Affinity of Pico- and Femtomolar Transition State Analogues of Escherichia coli 5’-Methylthioadenosine/S-Adenosylhomocysteine Nucleosidase. J. Biol. Chem. 2005, 280, 18274–18282. [Google Scholar] [CrossRef] [PubMed]
  28. Gutierrez, J.A.; Crowder, T.; Rinaldo-Matthis, A.; Ho, M.C.; Almo, S.C.; Schramm, V.L. Transition State Analogs of 5’-Methylthioadenosine Nucleosidase Disrupt Quorum Sensing. Nat. Chem. Biol. 2009, 5, 251–257. [Google Scholar] [CrossRef] [PubMed]
  29. Uroz, S.; Dessaux, Y.; Oger, P. Quorum Sensing and Quorum Quenching: The Yin and Yang of Bacterial Communication. Chembiochem 2009, 10, 205–216. [Google Scholar] [CrossRef]
  30. Park, J.; Jagasia, R.; Kaufmann, G.F.; Mathison, J.C.; Ruiz, D.I.; Moss, J.A.; Meijler, M.M.; Ulevitch, R.J.; Janda, K.D. Infection Control by Antibody Disruption of Bacterial Quorum Sensing Signaling. Chem. Biol. 2007, 14, 1119–1127. [Google Scholar] [CrossRef] [Green Version]
  31. Chan, A.; Lam, G.; Lee, G.; Lowe, C.; Yip, V. Effects of Antibody Induced Localized Cell Crowding on Autoinducer-2 Levels in Salmonella Typhimurium Lt2. J. Exp. Microbiol. Immunol. 2004, 5, 29–36. [Google Scholar]
  32. Gavrish, E.; Sit, C.S.; Cao, S.; Kandror, O.; Spoering, A.; Peoples, A.; Ling, L.; Fetterman, A.; Hughes, D.; Bissell, A.; et al. Lassomycin, a Ribosomally Synthesized Cyclic Peptide, Kills Mycobacterium tuberculosis by Targeting the Atp-Dependent Protease Clpc1p1p2. Chem. Biol. 2014, 21, 509–518. [Google Scholar] [CrossRef] [PubMed]
  33. Conlon, B.P.; Nakayasu, E.S.; Fleck, L.E.; Lafleur, M.D.; Isabella, V.M.; Coleman, K.; Leonard, S.N.; Smith, R.D.; Adkins, J.N.; Lewis, K. Activated Clpp Kills Persisters and Eradicates a Chronic Biofilm Infection. Nature 2013, 503, 365–370. [Google Scholar] [CrossRef] [PubMed]
  34. Kim, H.S.; Cha, E.; Kim, Y.; Jeon, Y.H.; Olson, B.H.; Byun, Y.; Park, H.D. Raffinose, a Plant Galactoside, Inhibits Pseudomonas aeruginosa Biofilm Formation Via Binding to Leca and Decreasing Cellular Cyclic Diguanylate Levels. Sci. Rep. 2016, 6, 25318. [Google Scholar] [CrossRef] [PubMed]
  35. Fox, J.L. Genomics Outpaces “Grind and Find” in Search for Useful Natural Products. Microbe 2015, 10, 407–408. [Google Scholar] [CrossRef]
  36. Weber, T.; Blin, K.; Duddela, S.; Krug, D.; Kim, H.U.; Bruccoleri, R.; Lee, S.Y.; Fischbach, M.A.; Müller, R.; Wohlleben, W.; et al. Antismash 3.0-a Comprehensive Resource for the Genome Mining of Biosynthetic Gene Clusters. Nucleic Acids Res. 2015, 43, W237–W243. [Google Scholar] [CrossRef]
  37. Blin, K.; Wolf, T.; Chevrette, M.G.; Lu, X.; Schwalen, C.J.; Kautsar, S.A.; Suarez Duran, H.G.; De Los Santos, E.L.C.; Kim, H.U.; Nave, M.; et al. Antismash 4.0-Improvements in Chemistry Prediction and Gene Cluster Boundary Identification. Nucleic Acids Res. 2017, 45, W36–W41. [Google Scholar] [CrossRef] [PubMed]
  38. Smanski, M.J.; Zhou, H.; Claesen, J.; Shen, B.; Fischbach, M.A.; Voigt, C.A. Synthetic Biology to Access and Expand Nature’s Chemical Diversity. Nat. Rev. Microbiol. 2016, 14, 135–149. [Google Scholar] [CrossRef]
  39. Rudolf, J.D.; Dong, L.B.; Huang, T.; Shen, B. A Genetically Amenable Platensimycin- and Platencin-Overproducer as a Platform for Biosynthetic Explorations: A Showcase of Ptmo4, a Long-Chain Acyl-Coa Dehydrogenase. Mol. Biosyst. 2015, 11, 2717–2726. [Google Scholar] [CrossRef]
  40. Smanski, M.J.; Schlatter, D.C.; Kinkel, L.L. Leveraging Ecological Theory to Guide Natural Product Discovery. J. Ind. Microbiol. Biotechnol. 2016, 43, 115–128. [Google Scholar] [CrossRef]
  41. Katz, M.; Hover, B.M.; Brady, S.F. Culture-Independent Discovery of Natural Products from Soil Metagenomes. J. Ind. Microbiol. Biotechnol. 2016, 43, 129–141. [Google Scholar] [CrossRef]
  42. Reddy, B.V.; Milshteyn, A.; Charlop-Powers, Z.; Brady, S.F. Esnapd: A Versatile, Web-Based Bioinformatics Platform for Surveying and Mining Natural Product Biosynthetic Diversity from Metagenomes. Chem. Biol. 2014, 21, 1023–1033. [Google Scholar] [CrossRef] [PubMed]
  43. Hover, B.M.; Kim, S.H.; Katz, M.; Charlop-Powers, Z.; Owen, J.G.; Ternei, M.A.; Maniko, J.; Estrela, A.B.; Molina, H.; Park, S.; et al. Culture-Independent Discovery of the Malacidins as Calcium-Dependent Antibiotics with Activity against Multidrug-Resistant Gram-Positive Pathogens. Nat. Microbiol. 2018, 3, 415–422. [Google Scholar] [CrossRef] [PubMed]
  44. Arango-Argoty, G.; Garner, E.; Pruden, A.; Heath, L.S.; Vikesland, P.; Zhang, L. DeepARG: A Deep Learning Approach for Predicting Antibiotic Resistance Genes from Metagenomic Data. Microbiome 2018, 6, 23. [Google Scholar] [CrossRef] [PubMed]
  45. Jia, B.; Raphenya, A.R.; Alcock, B.; Waglechner, N.; Guo, P.; Tsang, K.K.; Lago, B.A.; Dave, B.M.; Pereira, S.; Sharma, A.N.; et al. Card 2017: Expansion and Model-Centric Curation of the Comprehensive Antibiotic Resistance Database. Nucleic Acids Res. 2017, 45, D566–D573. [Google Scholar] [CrossRef] [PubMed]
  46. Nigam, A.; Almabruk, K.H.; Saxena, A.; Yang, J.; Mukherjee, U.; Kaur, H.; Kohli, P.; Kumari, R.; Singh, P.; Zakharov, L.N.; et al. Modification of Rifamycin Polyketide Backbone Leads to Improved Drug Activity against Rifampicin-Resistant Mycobacterium Tuberculosis. J. Biol. Chem. 2014, 289, 21142–21152. [Google Scholar] [CrossRef] [PubMed]
  47. Bentley, S.D.; Chater, K.F.; Cerdeño-Tárraga, A.M.; Challis, G.L.; Thomson, N.R.; James, K.D.; Harris, D.E.; Quail, M.A.; Kieser, H.; Harper, D.; et al. Complete Genome Sequence of the Model Actinomycete Streptomyces coelicolor A3(2). Nature 2002, 417, 141–147. [Google Scholar] [CrossRef] [PubMed]
  48. Ikeda, H.; Ishikawa, J.; Hanamoto, A.; Shinose, M.; Kikuchi, H.; Shiba, T.; Sakaki, Y.; Hattori, M.; Omura, S. Complete Genome Sequence and Comparative Analysis of the Industrial Microorganism Streptomyces avermitilis. Nat. Biotechnol. 2003, 21, 526–531. [Google Scholar] [CrossRef] [PubMed]
  49. Rutledge, P.J.; Challis, G.L. Discovery of Microbial Natural Products by Activation of Silent Biosynthetic Gene Clusters. Nat. Rev. Microbiol. 2015, 13, 509–523. [Google Scholar] [CrossRef]
  50. Shao, Z.; Rao, G.; Li, C.; Abil, Z.; Luo, Y.; Zhao, H. Refactoring the Silent Spectinabilin Gene Cluster Using a Plug-and-Play Scaffold. ACS Synth. Biol. 2013, 2, 662–669. [Google Scholar] [CrossRef] [Green Version]
  51. Guo, F.; Xiang, S.; Li, L.; Wang, B.; Rajasärkkä, J.; Gröndahl-Yli-Hannuksela, K.; Ai, G.; Metsä-Ketelä, M.; Yang, K. Targeted Activation of Silent Natural Product Biosynthesis Pathways by Reporter-Guided Mutant Selection. Metab. Eng. 2015, 28, 134–142. [Google Scholar] [CrossRef]
  52. Komatsu, M.; Uchiyama, T.; Omura, S.; Cane, D.E.; Ikeda, H. Genome-Minimized Streptomyces Host for the Heterologous Expression of Secondary Metabolism. Proc. Natl. Acad. Sci. USA 2010, 107, 2646–2651. [Google Scholar] [CrossRef] [PubMed]
  53. Nah, H.J.; Pyeon, H.R.; Kang, S.H.; Choi, S.S.; Kim, E.S. Cloning and Heterologous Expression of a Large-Sized Natural Product Biosynthetic Gene Cluster in Streptomyces Species. Front. Microbiol. 2017, 8, 394. [Google Scholar] [CrossRef] [PubMed]
  54. Pyeon, H.R.; Nah, H.J.; Kang, S.H.; Choi, S.S.; Kim, E.S. Heterologous Expression of Pikromycin Biosynthetic Gene Cluster Using Streptomyces Artificial Chromosome System. Microb. Cell Fact. 2017, 16, 96. [Google Scholar] [CrossRef]
  55. Castro, J.F.; Razmilic, V.; Gomez-Escribano, J.P.; Andrews, B.; Asenjo, J.A.; Bibb, M.J. Identification and Heterologous Expression of the Chaxamycin Biosynthesis Gene Cluster from Streptomyces leeuwenhoekii. Appl. Environ. Microbiol. 2015, 81, 5820–5831. [Google Scholar] [CrossRef] [PubMed]
  56. Shima, J.; Hesketh, A.; Okamoto, S.; Kawamoto, S.; Ochi, K. Induction of Actinorhodin Production by Rpsl (Encoding Ribosomal Protein S12) Mutations That Confer Streptomycin Resistance in Streptomyces lividans and Streptomyces coelicolor A3(2). J. Bacteriol. 1996, 178, 7276–7284. [Google Scholar] [CrossRef] [PubMed]
  57. Wang, X.; Sena Filho, J.G.; Hoover, A.R.; King, J.B.; Ellis, T.K.; Powell, D.R.; Cichewicz, R.H. Chemical Epigenetics Alters the Secondary Metabolite Composition of Guttate Excreted by an Atlantic-Forest-Soil-Derived Penicillium citreonigrum. J. Nat. Prod. 2010, 73, 942–948. [Google Scholar] [CrossRef] [PubMed]
  58. Liu, X.; Cheng, Y.Q. Genome-Guided Discovery of Diverse Natural Products from Burkholderia sp. J. Ind. Microbiol. Biotechnol. 2014, 41, 275–284. [Google Scholar] [CrossRef]
  59. Seyedsayamdost, M.R. High-Throughput Platform for the Discovery of Elicitors of Silent Bacterial Gene Clusters. Proc. Natl. Acad. Sci. USA 2014, 111, 7266–7271. [Google Scholar] [CrossRef]
  60. Pettit, R.K. Small-Molecule Elicitation of Microbial Secondary Metabolites. Microb. Biotechnol. 2011, 4, 471–478. [Google Scholar] [CrossRef]
  61. Hsiao, A.; Ahmed, A.M.; Subramanian, S.; Griffin, N.W.; Drewry, L.L.; Petri, W.A.; Haque, R.; Ahmed, T.; Gordon, J.I. Members of the Human Gut Microbiota Involved in Recovery from Vibrio cholerae Infection. Nature 2014, 515, 423–426. [Google Scholar] [CrossRef]
  62. Craney, A.; Ozimok, C.; Pimentel-Elardo, S.M.; Capretta, A.; Nodwell, J.R. Chemical Perturbation of Secondary Metabolism Demonstrates Important Links to Primary Metabolism. Chem. Biol. 2012, 19, 1020–1027. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Liu, X.; Bimerew, M.; Ma, Y.; Müller, H.; Ovadis, M.; Eberl, L.; Berg, G.; Chernin, L. Quorum-Sensing Signaling Is Required for Production of the Antibiotic Pyrrolnitrin in a Rhizospheric Biocontrol Strain of Serratia plymuthica. FEMS Microbiol. Lett. 2007, 270, 299–305. [Google Scholar] [CrossRef] [PubMed]
  64. Wilson, M.C.; Mori, T.; Rückert, C.; Uria, A.R.; Helf, M.J.; Takada, K.; Gernert, C.; Steffens, U.A.; Heycke, N.; Schmitt, S.; et al. An Environmental Bacterial Taxon with a Large and Distinct Metabolic Repertoire. Nature 2014, 506, 58–62. [Google Scholar] [CrossRef] [PubMed]
  65. Shao, Y.; Chen, B.; Sun, C.; Ishida, K.; Hertweck, C.; Boland, W. Symbiont-Derived Antimicrobials Contribute to the Control of the Lepidopteran Gut Microbiota. Cell Chem. Biol. 2017, 24, 66–75. [Google Scholar] [CrossRef] [PubMed]
  66. Vancompernolle, S.E.; Taylor, R.J.; Oswald-Richter, K.; Jiang, J.; Youree, B.E.; Bowie, J.H.; Tyler, M.J.; Conlon, J.M.; Wade, D.; Aiken, C.; et al. Antimicrobial Peptides from Amphibian Skin Potently Inhibit Human Immunodeficiency Virus Infection and Transfer of Virus from Dendritic Cells to T Cells. J Virol 2005, 79, 11598–11606. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  67. M C Chung, E.; Dean, S.N.; Propst, C.N.; Bishop, B.M.; Van Hoek, M.L. Komodo Dragon-Inspired Synthetic Peptide Drgn-1 Promotes Wound-Healing of a Mixed-Biofilm Infected Wound. NPJ Biofilms Microbiomes 2017, 3, 9. [Google Scholar] [CrossRef] [PubMed]
  68. Zipperer, A.; Konnerth, M.C.; Laux, C.; Berscheid, A.; Janek, D.; Weidenmaier, C.; Burian, M.; Schilling, N.A.; Slavetinsky, C.; Marschal, M.; et al. Human Commensals Producing a Novel Antibiotic Impair Pathogen Colonization. Nature 2016, 535, 511–516. [Google Scholar] [CrossRef]
  69. Qin, Z.; Munnoch, J.T.; Devine, R.; Holmes, N.A.; Seipke, R.F.; Wilkinson, K.A.; Wilkinson, B.; Hutchings, M.I. Formicamycins, Antibacterial Polyketides Produced By Streptomyces formicae isolated from African Tetraponera plant-ants. Chem. Sci. 2017, 8, 3218–3227. [Google Scholar] [CrossRef]
  70. Oh, D.C.; Poulsen, M.; Currie, C.R.; Clardy, J. Dentigerumycin: A Bacterial Mediator of an Ant-Fungus Symbiosis. Nat. Chem. Biol. 2009, 5, 391–393. [Google Scholar] [CrossRef]
  71. Lu, C.; Shen, Y. A Novel Ansamycin, Naphthomycin K from Streptomyces sp. J. Antibiot. 2007, 60, 649–653. [Google Scholar] [CrossRef]
  72. Chagas, M.B.O.; Prazeres Dos Santos, I.; Nascimento Da Silva, L.C.; Correia, M.T.D.S.; Magali De Araújo, J.; Cavalcanti, M.D.S.; Lima, V.L.M. Antimicrobial Activity of Cultivable Endophytic Fungi Associated With Hancornia Speciosa Gomes Bark. Open Microbiol. J. 2017, 11, 179–188. [Google Scholar] [CrossRef] [PubMed]
  73. Liang, H.; Xing, Y.; Chen, J.; Zhang, D.; Guo, S.; Wang, C. Antimicrobial Activities of Endophytic Fungi Isolated from Ophiopogon japonicus (Liliaceae). BMC Complement. Altern. Med. 2012, 12, 238. [Google Scholar] [CrossRef]
  74. Verma, V.C.; Gond, S.K.; Kumar, A.; Mishra, A.; Kharwar, R.N.; Gange, A.C. Endophytic Actinomycetes from Azadirachta indica A. Juss.: Isolation, Diversity, and Anti-Microbial Activity. Microb. Ecol. 2009, 57, 749–756. [Google Scholar] [CrossRef] [PubMed]
  75. Parthasarathy, A.; Gan, H.M.; Wong, N.H.; Savka, M.A.; Steiner, K.K.; Henry, K.R.; Hudson, A.O. Isolation and Genomic Characterization of Six Endophytic Bacteria Isolated from Saccharum sp (Sugarcane): Insights into Antibiotic, Secondary Metabolite and Quorum Sensing Metabolism. J. Genom. 2018, 6, 117–121. [Google Scholar] [CrossRef] [PubMed]
  76. Bertrand, S.; Bohni, N.; Schnee, S.; Schumpp, O.; Gindro, K.; Wolfender, J.L. Metabolite Induction Via Microorganism Co-Culture: A Potential Way to Enhance Chemical Diversity for Drug Discovery. Biotechnol. Adv. 2014, 32, 1180–1204. [Google Scholar] [CrossRef] [PubMed]
  77. Tyc, O.; De Jager, V.C.L.; Van Den Berg, M.; Gerards, S.; Janssens, T.K.S.; Zaagman, N.; Kai, M.; Svatos, A.; Zweers, H.; Hordijk, C.; et al. Exploring Bacterial Interspecific Interactions for Discovery of Novel Antimicrobial Compounds. Microb. Biotechnol. 2017, 10, 910–925. [Google Scholar] [CrossRef]
  78. Tyc, O.; Van Den Berg, M.; Gerards, S.; Van Veen, J.A.; Raaijmakers, J.M.; De Boer, W.; Garbeva, P. Impact of Interspecific Interactions on Antimicrobial Activity among Soil Bacteria. Front. Microbiol. 2014, 5, 567. [Google Scholar] [CrossRef]
  79. Mearns-Spragg, A.; Bregu, M.; Boyd, K.G.; Burgess, J.G. Cross-Species Induction and Enhancement of Antimicrobial Activity Produced by Epibiotic Bacteria from Marine Algae and Invertebrates, after Exposure to Terrestrial Bacteria. Lett. Appl. Microbiol. 1998, 27, 142–146. [Google Scholar] [CrossRef]
  80. Burgess, J.G.; Jordan, E.M.; Bregu, M.; Mearns-Spragg, A.; Boyd, K.G. Microbial Antagonism: A Neglected Avenue of Natural Products Research. J. Biotechnol. 1999, 70, 27–32. [Google Scholar] [CrossRef]
  81. Cueto, M.; Jensen, P.R.; Kauffman, C.; Fenical, W.; Lobkovsky, E.; Clardy, J. Pestalone, a New Antibiotic Produced by a Marine Fungus in Response to Bacterial Challenge. J. Nat. Prod. 2001, 64, 1444–1446. [Google Scholar] [CrossRef]
  82. Ahmed, S.; Craney, A.; Pimentel-Elardo, S.M.; Nodwell, J.R. A Synthetic, Species-Specific Activator of Secondary Metabolism and Sporulation in Streptomyces coelicolor. ChemBioChem 2013, 14, 83–91. [Google Scholar] [CrossRef] [PubMed]
  83. Slavov, N.; Cvengroš, J.; Neudörfl, J.M.; Schmalz, H.G. Total Synthesis of the Marine Antibiotic Pestalone and Its Surprisingly Facile Conversion into Pestalalactone and Pestalachloride A. Angew. Chem. Int. Ed. Engl. 2010, 49, 7588–7591. [Google Scholar] [CrossRef] [PubMed]
  84. Lincke, T.; Behnken, S.; Ishida, K.; Roth, M.; Hertweck, C. Closthioamide: An Unprecedented Polythioamide Antibiotic from the Strictly Anaerobic Bacterium Clostridium cellulolyticum. Angew. Chem. Int. Ed. Engl. 2010, 49, 2011–2013. [Google Scholar] [CrossRef] [PubMed]
  85. Schroeckh, V.; Scherlach, K.; Nützmann, H.W.; Shelest, E.; Schmidt-Heck, W.; Schuemann, J.; Martin, K.; Hertweck, C.; Brakhage, A.A. Intimate Bacterial-Fungal Interaction Triggers Biosynthesis of Archetypal Polyketides in Aspergillus nidulans. Proc. Natl. Acad. Sci. USA 2009, 106, 14558–14563. [Google Scholar] [CrossRef]
  86. Nichols, D.; Cahoon, N.; Trakhtenberg, E.M.; Pham, L.; Mehta, A.; Belanger, A.; Kanigan, T.; Lewis, K.; Epstein, S.S. Use of Ichip for High-Throughput in Situ Cultivation Of "Uncultivable" Microbial Species. Appl. Environ. Microbiol. 2010, 76, 2445–2450. [Google Scholar] [CrossRef] [PubMed]
  87. Lubke, L.L.; Garon, C.F. The Antimicrobial Agent Melittin Exhibits Powerful In Vitro Inhibitory Effects on the Lyme Disease Spirochete. Clin. Infect. Dis. 1997, 25 (Suppl. S1), S48–S51. [Google Scholar] [CrossRef]
  88. Samy, R.P.; Gopalakrishnakone, P.; Chow, V.T.; Ho, B. Viper Metalloproteinase (Agkistrodon halys Pallas) with Antimicrobial Activity against Multi-Drug Resistant Human Pathogens. J. Cell Physiol. 2008, 216, 54–68. [Google Scholar] [CrossRef] [PubMed]
  89. Xu, C.; Ma, D.; Yu, H.; Li, Z.; Liang, J.; Lin, G.; Zhang, Y.; Lai, R. A Bactericidal Homodimeric Phospholipases A2 from Bungarus fasciatus Venom. Peptides 2007, 28, 969–973. [Google Scholar] [CrossRef]
  90. Pletzer, D.; Hancock, R.E. Antibiofilm Peptides: Potential as Broad-Spectrum Agents. J. Bacteriol. 2016, 198, 2572–2578. [Google Scholar] [CrossRef] [Green Version]
  91. Reinhardt, A.; Neundorf, I. Design and Application of Antimicrobial Peptide Conjugates. Int. J. Mol. Sci. 2016, 17, 701. [Google Scholar] [CrossRef]
  92. Xiong, M.; Bao, Y.; Xu, X.; Wang, H.; Han, Z.; Wang, Z.; Liu, Y.; Huang, S.; Song, Z.; Chen, J.; et al. Selective Killing of Helicobacter Pylori with Ph-Responsive Helix-Coil Conformation Transitionable Antimicrobial Polypeptides. Proc. Natl. Acad. Sci. USA 2017, 114, 12675–12680. [Google Scholar] [CrossRef] [PubMed]
  93. Saadi, M.; Duperchy, E.; Brown, P.; Dawson, M.J.; Wadman, N.S. Polymyxin Compounds. U.S. Patent 20,150,031,602, 29 January 2015. [Google Scholar]
  94. Heinis, C.; Rutherford, T.; Freund, S.; Winter, G. Phage-Encoded Combinatorial Chemical Libraries Based on Bicyclic Peptides. Nat. Chem. Biol. 2009, 5, 502–507. [Google Scholar] [CrossRef] [PubMed]
  95. Tally, F.P.; Debruin, M.F. Development of Daptomycin for Gram-Positive Infections. J. Antimicrob. Chemother. 2000, 46, 523–526. [Google Scholar] [CrossRef]
  96. Baltz, R.H. Daptomycin: Mechanisms of Action and Resistance, and Biosynthetic Engineering. Curr. Opin. Chem. Biol. 2009, 13, 144–151. [Google Scholar] [CrossRef] [PubMed]
  97. Snydman, D.R.; Jacobus, N.V.; Mcdermott, L.A. Activity of a Novel Cyclic Lipopeptide, Cb-183,315, against Resistant Clostridium difficile and Other Gram-Positive Aerobic and Anaerobic Intestinal Pathogens. Antimicrob. Agents Chemother. 2012, 56, 3448–3452. [Google Scholar] [CrossRef] [PubMed]
  98. Citron, D.M.; Tyrrell, K.L.; Merriam, C.V.; Goldstein, E.J. In Vitro Activities of Cb-183,315, Vancomycin, and Metronidazole against 556 Strains of Clostridium difficile, 445 Other Intestinal Anaerobes, and 56 Enterobacteriaceae Species. Antimicrob. Agents Chemother. 2012, 56, 1613–1615. [Google Scholar] [CrossRef] [PubMed]
  99. Boix, V.; Fedorak, R.N.; Mullane, K.M.; Pesant, Y.; Stoutenburgh, U.; Jin, M.; Adedoyin, A.; Chesnel, L.; Guris, D.; Larson, K.B.; et al. Primary Outcomes from a Phase 3, Randomized, Double-Blind, Active-Controlled Trial of Surotomycin in Subjects with in Subjects with Clostridium difficile Infection. Open Forum Infect. Dis. 2017, 4, ofw275. [Google Scholar] [CrossRef]
  100. Bierbaum, G.; Sahl, H.-G. Lantibiotics: Mode of Action, Biosynthesis and Bioengineering. Curr. Pharm. Biotechnol. 2009, 10, 2–18. [Google Scholar] [CrossRef] [PubMed]
  101. Froseth, B.R.; Mckay, L.L. Molecular Characterization of the Nisin Resistance Region of Lactococcus lactis Subsp. Lactis Biovar Diacetylactis Drc3. Appl. Environ. Microbiol. 1991, 57, 804–811. [Google Scholar] [PubMed]
  102. Khosa, S.; Frieg, B.; Mulnaes, D.; Kleinschrodt, D.; Hoeppner, A.; Gohlke, H.; Smits, S.H. Structural Basis of Lantibiotic Recognition by the Nisin Resistance Protein from Streptococcus agalactiae. Sci. Rep. 2016, 6, 18679. [Google Scholar] [CrossRef]
  103. Bierbaum, G.; Szekat, C.; Josten, M.; Heidrich, C.; Kempter, C.; Jung, G.; Sahl, H.G. Engineering of a Novel Thioether Bridge and Role of Modified Residues in the Lantibiotic Pep5. Appl. Environ. Microbiol. 1996, 62, 385–392. [Google Scholar] [PubMed]
  104. Levengood, M.R.; Van Der Donk, W.A. Use of Lantibiotic Synthetases for the Preparation of Bioactive Constrained Peptides. Bioorg. Med. Chem. Lett. 2008, 18, 3025–3028. [Google Scholar] [CrossRef] [PubMed]
  105. Rink, R.; Kuipers, A.; De Boef, E.; Leenhouts, K.J.; Driessen, A.J.; Moll, G.N.; Kuipers, O.P. Lantibiotic Structures as Guidelines for the Design of Peptides That Can Be Modified by Lantibiotic Enzymes. Biochemistry 2005, 44, 8873–8882. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  106. Kluskens, L.D.; Kuipers, A.; Rink, R.; De Boef, E.; Fekken, S.; Driessen, A.J.; Kuipers, O.P.; Moll, G.N. Post-Translational Modification of Therapeutic Peptides by Nisb, the Dehydratase of the Lantibiotic Nisin. Biochemistry 2005, 44, 12827–12834. [Google Scholar] [CrossRef] [PubMed]
  107. Micoli, F.; Costantino, P.; Adamo, R. Potential Targets for Next Generation Antimicrobial Glycoconjugate Vaccines. FEMS Microbiol. Rev. 2018, 42, 388–423. [Google Scholar] [CrossRef] [PubMed]
  108. Berti, F.; Adamo, R. Antimicrobial Glycoconjugate Vaccines: An Overview of Classic and Modern Approaches for Protein Modification. Chem. Soc. Rev. 2018, 47, 9015–9025. [Google Scholar] [CrossRef] [PubMed]
  109. Behera, A.; Kulkarni, S.S. Chemical Synthesis of Rare, Deoxy-Amino Sugars Containing Bacterial Glycoconjugates as Potential Vaccine Candidates. Molecules 2018, 23, 1997. [Google Scholar] [CrossRef]
  110. Garton, M.; Nim, S.; Stone, T.A.; Wang, K.E.; Deber, C.M.; Kim, P.M. Method to Generate Highly Stable D-Amino Acid Analogs of Bioactive Helical Peptides Using a Mirror Image of the Entire Pdb. Proc. Natl. Acad. Sci. USA 2018, 115, 1505–1510. [Google Scholar] [CrossRef]
  111. Morinaka, B.I.; Lakis, E.; Verest, M.; Helf, M.J.; Scalvenzi, T.; Vagstad, A.L.; Sims, J.; Sunagawa, S.; Gugger, M.; Piel, J. Natural Noncanonical Protein Splicing Yields Products with Diverse Β-Amino Acid Residues. Science 2018, 359, 779–782. [Google Scholar] [CrossRef]
  112. Parthasarathy, A.; Anandamma, S.K.; Kalesh, K.A. The Medicinal Chemistry of Therapeutic Peptides: Recent Developments in Synthesis and Design Optimizations. Curr. Med. Chem. 2017. [Google Scholar] [CrossRef]
  113. Zhang, Y.; Ptacin, J.L.; Fischer, E.C.; Aerni, H.R.; Caffaro, C.E.; San Jose, K.; Feldman, A.W.; Turner, C.R.; Romesberg, F.E. A Semi-Synthetic Organism That Stores and Retrieves Increased Genetic Information. Nature 2017, 551, 644–647. [Google Scholar] [CrossRef] [PubMed]
  114. Digiandomenico, A.; Sellman, B.R. Antibacterial Monoclonal Antibodies: The Next Generation? Curr. Opin. Microbiol. 2015, 27, 78–85. [Google Scholar] [CrossRef] [PubMed]
  115. Rossmann, F.S.; Laverde, D.; Kropec, A.; Romero-Saavedra, F.; Meyer-Buehn, M.; Huebner, J. Isolation of Highly Active Monoclonal Antibodies against Multiresistant Gram-Positive Bacteria. PLoS ONE 2015, 10, e0118405. [Google Scholar] [CrossRef] [PubMed]
  116. Xu, L.; Pegu, A.; Rao, E.; Doria-Rose, N.; Beninga, J.; Mckee, K.; Lord, D.M.; Wei, R.R.; Deng, G.; Louder, M.; et al. Trispecific Broadly Neutralizing Hiv Antibodies Mediate Potent Shiv Protection in Macaques. Science 2017, 358, 85–90. [Google Scholar] [CrossRef] [PubMed]
  117. León, M.; Bastías, R. Virulence Reduction in Bacteriophage Resistant Bacteria. Front. Microbiol. 2015, 6, 343. [Google Scholar] [CrossRef] [PubMed]
  118. Seed, K.D.; Faruque, S.M.; Mekalanos, J.J.; Calderwood, S.B.; Qadri, F.; Camilli, A. Phase Variable O Antigen Biosynthetic Genes Control Expression of the Major Protective Antigen and Bacteriophage Receptor in Vibrio cholerae O1. PLoS Pathog. 2012, 8, e1002917. [Google Scholar] [CrossRef] [PubMed]
  119. Oechslin, F.; Piccardi, P.; Mancini, S.; Gabard, J.; Moreillon, P.; Entenza, J.M.; Resch, G.; Que, Y.A. Synergistic Interaction between Phage Therapy and Antibiotics Clears Pseudomonas aeruginosa Infection in Endocarditis and Reduces Virulence. J. Infect. Dis. 2017, 215, 703–712. [Google Scholar] [CrossRef] [PubMed]
  120. Diard, M.; Bakkeren, E.; Cornuault, J.K.; Moor, K.; Hausmann, A.; Sellin, M.E.; Loverdo, C.; Aertsen, A.; Ackermann, M.; De Paepe, M.; et al. Inflammation Boosts Bacteriophage Transfer Between Salmonella spp. Science 2017, 355, 1211–1215. [Google Scholar] [CrossRef] [PubMed]
  121. Ando, H.; Lemire, S.; Pires, D.P.; Lu, T.K. Engineering Modular Viral Scaffolds for Targeted Bacterial Population Editing. Cell Syst. 2015, 1, 187–196. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  122. Briers, Y.; Walmagh, M.; Van Puyenbroeck, V.; Cornelissen, A.; Cenens, W.; Aertsen, A.; Oliveira, H.; Azeredo, J.; Verween, G.; Pirnay, J.P.; et al. Engineered Endolysin-Based “Artilysins” To Combat Multidrug-Resistant Gram-Negative Pathogens. Mbio 2014, 5. [Google Scholar] [CrossRef]
  123. Barrangou, R.; Fremaux, C.; Deveau, H.; Richards, M.; Boyaval, P.; Moineau, S.; Romero, D.A.; Horvath, P. Crispr Provides Acquired Resistance against Viruses in Prokaryotes. Science 2007, 315, 1709–1712. [Google Scholar] [CrossRef] [PubMed]
  124. Cho, S.W.; Kim, S.; Kim, J.M.; Kim, J.S. Targeted Genome Engineering in Human Cells with the Cas9 Rna-Guided Endonuclease. Nat. Biotechnol. 2013, 31, 230–232. [Google Scholar] [CrossRef] [PubMed]
  125. Cong, L.; Ran, F.A.; Cox, D.; Lin, S.; Barretto, R.; Habib, N.; Hsu, P.D.; Wu, X.; Jiang, W.; Marraffini, L.A.; et al. Multiplex Genome Engineering Using Crispr/Cas Systems. Science 2013, 339, 819–823. [Google Scholar] [CrossRef] [PubMed]
  126. Garneau, J.E.; Dupuis, M.; Villion, M.; Romero, D.A.; Barrangou, R.; Boyaval, P.; Fremaux, C.; Horvath, P.; Magadán, A.H.; Moineau, S. The Crispr/Cas Bacterial Immune System Cleaves Bacteriophage and Plasmid DNA. Nature 2010, 468, 67–71. [Google Scholar] [CrossRef]
  127. Sorek, R.; Lawrence, C.M.; Wiedenheft, B. Crispr-Mediated Adaptive Immune Systems in Bacteria and Archaea. Annu. Rev. Biochem. 2013, 82, 237–266. [Google Scholar] [CrossRef]
  128. Vercoe, R.B.; Chang, J.T.; Dy, R.L.; Taylor, C.; Gristwood, T.; Clulow, J.S.; Richter, C.; Przybilski, R.; Pitman, A.R.; Fineran, P.C. Cytotoxic Chromosomal Targeting by Crispr/Cas Systems Can Reshape Bacterial Genomes and Expel or Remodel Pathogenicity Islands. PLoS Genet. 2013, 9, e1003454. [Google Scholar] [CrossRef] [PubMed]
  129. Bikard, D.; Hatoum-Aslan, A.; Mucida, D.; Marraffini, L.A. Crispr Interference Can Prevent Natural Transformation and Virulence Acquisition During In Vivo Bacterial Infection. Cell Host Microbe 2012, 12, 177–186. [Google Scholar] [CrossRef]
  130. Citorik, R.J.; Mimee, M.; Lu, T.K. Sequence-Specific Antimicrobials Using Efficiently Delivered RNA-Guided Nucleases. Nat. Biotechnol. 2014, 32, 1141–1145. [Google Scholar] [CrossRef]
  131. Gomaa, A.A.; Klumpe, H.E.; Luo, M.L.; Selle, K.; Barrangou, R.; Beisel, C.L. Programmable Removal of Bacterial Strains by Use of Genome-Targeting Crispr-Cas Systems. Mbio 2014, 5. [Google Scholar] [CrossRef]
  132. Negus, D.; Vipond, J.; Hatch, G.J.; Rayner, E.L.; Taylor, P.W. Parenteral Administration of Capsule Depolymerase Envd Prevents Lethal Inhalation Anthrax Infection. Antimicrob. Agents Chemother. 2015, 59, 7687–7692. [Google Scholar] [CrossRef]
  133. Dias, C.; Pais, J.P.; Nunes, R.; Blázquez-Sánchez, M.T.; Marquês, J.T.; Almeida, A.F.; Serra, P.; Xavier, N.M.; Vila-Viçosa, D.; Machuqueiro, M.; et al. Sugar-Based Bactericides Targeting Phosphatidylethanolamine-Enriched Membranes. Nat. Commun. 2018, 9, 4857. [Google Scholar] [CrossRef] [PubMed]
  134. Maffioli, S.I.; Zhang, Y.; Degen, D.; Carzaniga, T.; Del Gatto, G.; Serina, S.; Monciardini, P.; Mazzetti, C.; Guglierame, P.; Candiani, G.; et al. Antibacterial Nucleoside-Analog Inhibitor of Bacterial RNA Polymerase. Cell 2017, 169, 1240–1248. [Google Scholar] [CrossRef] [PubMed]
  135. Velema, W.A.; Hansen, M.J.; Lerch, M.M.; Driessen, A.J.; Szymanski, W.; Feringa, B.L. Ciprofloxacin-Photoswitch Conjugates: A Facile Strategy for Photopharmacology. Bioconjug. Chem. 2015, 26, 2592–2597. [Google Scholar] [CrossRef]
  136. Babii, O.; Afonin, S.; Berditsch, M.; Reiβer, S.; Mykhailiuk, P.K.; Kubyshkin, V.S.; Steinbrecher, T.; Ulrich, A.S.; Komarov, I.V. Controlling Biological Activity with Light: Diarylethene-Containing Cyclic Peptidomimetics. Angew. Chem. Int. Ed. Engl. 2014, 53, 3392–3395. [Google Scholar] [CrossRef] [PubMed]
  137. Wegener, M.; Hansen, M.J.; Driessen, A.J.M.; Szymanski, W.; Feringa, B.L. Photocontrol of Antibacterial Activity: Shifting from Uv to Red Light Activation. J. Am. Chem. Soc. 2017, 139, 17979–17986. [Google Scholar] [CrossRef] [PubMed]
  138. Cornelis, P.; Andrews, S.C. (Eds.) Iron Uptake and Homeostasis in Microorganisms; Caister Academic Press: Norfolk, UK, 2010; ISBN 978-1-904455-65-3. [Google Scholar]
  139. Corbin, B.D.; Seeley, E.H.; Raab, A.; Feldmann, J.; Miller, M.R.; Torres, V.J.; Anderson, K.L.; Dattilo, B.M.; Dunman, P.M.; Gerads, R.; et al. Metal Chelation and Inhibition of Bacterial Growth in Tissue Abscesses. Science 2008, 319, 962–965. [Google Scholar] [CrossRef] [PubMed]
  140. Hood, M.I.; Skaar, E.P. Nutritional Immunity: Transition Metals at the Pathogen-Host Interface. Nat. Rev. Microbiol. 2012, 10, 525–537. [Google Scholar] [CrossRef] [PubMed]
  141. Ji, C.; Miller, P.A.; Miller, M.J. Iron Transport-Mediated Drug Delivery: Practical Syntheses and in Vitro Antibacterial Studies of Tris-Catecholate Siderophore-Aminopenicillin Conjugates Reveals Selectively Potent Antipseudomonal Activity. J. Am. Chem. Soc. 2012, 134, 9898–9901. [Google Scholar] [CrossRef]
  142. Cabezón, E.; De La Cruz, F.; Arechaga, I. Conjugation Inhibitors and Their Potential Use to Prevent Dissemination of Antibiotic Resistance Genes in Bacteria. Front. Microbiol. 2017, 8, 2329. [Google Scholar] [CrossRef]
  143. Tegos, G.P.; Haynes, M.; Strouse, J.J.; Khan, M.M.; Bologa, C.G.; Oprea, T.I.; Sklar, L.A. Microbial Efflux Pump Inhibition: Tactics and Strategies. Curr. Pharm. Des. 2011, 17, 1291–1302. [Google Scholar] [CrossRef]
  144. Hernandez, V.; Crépin, T.; Palencia, A.; Cusack, S.; Akama, T.; Baker, S.J.; Bu, W.; Feng, L.; Freund, Y.R.; Liu, L.; et al. Discovery of a Novel Class of Boron-Based Antibacterials with Activity against Gram-Negative Bacteria. Antimicrob. Agents Chemother. 2013, 57, 1394–1403. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  145. Bologa, C.G.; Ursu, O.; Oprea, T.I.; Melançon, C.E.; Tegos, G.P. Emerging Trends in the Discovery of Natural Product Antibacterial. Curr. Opin. Pharmacol. 2013, 13, 678–687. [Google Scholar] [CrossRef]
  146. Getino, M.; Sanabria-Ríos, D.J.; Fernández-López, R.; Campos-Gómez, J.; Sánchez-López, J.M.; Fernández, A.; Carballeira, N.M.; De La Cruz, F. Synthetic Fatty Acids Prevent Plasmid-Mediated Horizontal Gene Transfer. Mbio 2015, 6. [Google Scholar] [CrossRef]
  147. Fernandez-Lopez, R.; Machón, C.; Longshaw, C.M.; Martin, S.; Molin, S.; Zechner, E.L.; Espinosa, M.; Lanka, E.; De La Cruz, F. Unsaturated Fatty Acids Are Inhibitors of Bacterial Conjugation. Microbiology 2005, 151, 3517–3526. [Google Scholar] [CrossRef]
  148. Smith, M.A.; Coinçon, M.; Paschos, A.; Jolicoeur, B.; Lavallée, P.; Sygusch, J.; Baron, C. Identification of the Binding Site of Brucella Virb8 Interaction Inhibitors. Chem. Biol. 2012, 19, 1041–1048. [Google Scholar] [CrossRef] [PubMed]
  149. Trefzer, A.; Pelzer, S.; Schimana, J.; Stockert, S.; Bihlmaier, C.; Fiedler, H.P.; Welzel, K.; Vente, A.; Bechthold, A. Biosynthetic Gene Cluster of Simocyclinone, a Natural Multihybrid Antibiotic. Antimicrob. Agents Chemother. 2002, 46, 1174–1182. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  150. Woerly, E.M.; Roy, J.; Burke, M.D. Synthesis of Most Polyene Natural Product Motifs Using Just 12 Building Blocks and One Coupling Reaction. Nat. Chem. 2014, 6, 484–491. [Google Scholar] [CrossRef]
  151. Zheng, K.; Xie, C.; Hong, R. Bioinspired Iterative Synthesis of Polyketides. Front. Chem. 2015, 3, 32. [Google Scholar] [CrossRef]
  152. Akagawa, K.; Kudo, K. Biomimetic Iterative Method for Polyketide Synthesis. Chem. Commun. 2017, 53, 8645–8648. [Google Scholar] [CrossRef]
  153. Akagawa, K.; Kudo, K. Iterative Polyketide Synthesis Via a Consecutive Carbonyl-Protecting Strategy. J. Org. Chem. 2018, 83, 4279–4285. [Google Scholar] [CrossRef]
  154. Ahmadipour, S.; Miller, G.J. Recent Advances in the Chemical Synthesis of Sugar-Nucleotides. Carbohydr. Res. 2017, 451, 95–109. [Google Scholar] [CrossRef] [PubMed]
  155. Hwu, J.R.; Chandrasekhar, D.B.; Hwang, K.C.; Lin, C.C.; Horng, J.C.; Shieh, F.K. Reductive Deamination by Benzyne for Deoxy Sugar Synthesis through a Domino Reaction. ChemistryOpen 2017, 6, 331–335. [Google Scholar] [CrossRef] [PubMed]
  156. Farha, M.A.; French, S.; Stokes, J.M.; Brown, E.D. Bicarbonate Alters Bacterial Susceptibility to Antibiotics by Targeting the Proton Motive Force. ACS Infect. Dis. 2018, 4, 382–390. [Google Scholar] [CrossRef] [PubMed]
  157. Ejim, L.; Farha, M.A.; Falconer, S.B.; Wildenhain, J.; Coombes, B.K.; Tyers, M.; Brown, E.D.; Wright, G.D. Combinations of Antibiotics and Nonantibiotic Drugs Enhance Antimicrobial Efficacy. Nat. Chem. Biol. 2011, 7, 348–350. [Google Scholar] [CrossRef] [PubMed]
  158. Duncan, B.; Li, X.; Landis, R.F.; Kim, S.T.; Gupta, A.; Wang, L.S.; Ramanathan, R.; Tang, R.; Boerth, J.A.; Rotello, V.M. Nanoparticle-Stabilized Capsules for the Treatment of Bacterial Biofilms. ACS Nano 2015, 9, 7775–7782. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  159. Liu, S.; Zeng, T.H.; Hofmann, M.; Burcombe, E.; Wei, J.; Jiang, R.; Kong, J.; Chen, Y. Antibacterial Activity of Graphite, Graphite Oxide, Graphene Oxide, and Reduced Graphene Oxide: Membrane and Oxidative Stress. ACS Nano 2011, 5, 6971–6980. [Google Scholar] [CrossRef] [PubMed]
  160. Sondi, I.; Salopek-Sondi, B. Silver Nanoparticles as Antimicrobial Agent: A Case Study on E. Coli as a Model for Gram-Negative Bacteria. J. Colloid Interface Sci. 2004, 275, 177–182. [Google Scholar] [CrossRef] [PubMed]
  161. Shahverdi, A.R.; Fakhimi, A.; Shahverdi, H.R.; Minaian, S. Synthesis and Effect of Silver Nanoparticles on the Antibacterial Activity of Different Antibiotics against Staphylococcus aureus and Escherichia coli. Nanomedicine 2007, 3, 168–171. [Google Scholar] [CrossRef] [PubMed]
  162. Cameron, P.; Gaiser, B.K.; Bhandari, B.; Bartley, P.M.; Katzer, F.; Bridle, H. Silver Nanoparticles Decrease the Viability of Cryptosporidium parvum Oocysts. Appl. Environ. Microbiol. 2016, 82, 431–437. [Google Scholar] [CrossRef] [PubMed]
  163. Vilela, D.; Stanton, M.M.; Parmar, J.; Sánchez, S. Microbots Decorated with Silver Nanoparticles Kill Bacteria in Aqueous Media. ACS Appl. Mater. Interfaces 2017, 9, 22093–22100. [Google Scholar] [CrossRef] [PubMed]
  164. Ye, R.; Zhu, C.; Song, Y.; Lu, Q.; Ge, X.; Yang, X.; Zhu, M.J.; Du, D.; Li, H.; Lin, Y. Bioinspired Synthesis of All-in-One Organic-Inorganic Hybrid Nanoflowers Combined with a Handheld pH Meter for on-Site Detection of Food Pathogen. Small 2016, 12, 3094–3100. [Google Scholar] [CrossRef] [PubMed]
  165. Jiang, Y.; Zheng, W.; Kuang, L.; Ma, H.; Liang, H. Hydrophilic Phage-Mimicking Membrane Active Antimicrobials Reveal Nanostructure-Dependent Activity and Selectivity. ACS Infect. Dis. 2017, 3, 676–687. [Google Scholar] [CrossRef] [PubMed]
  166. Pornpattananangkul, D.; Zhang, L.; Olson, S.; Aryal, S.; Obonyo, M.; Vecchio, K.; Huang, C.M. Bacterial Toxin-Triggered Drug Release from Gold Nanoparticle-Stabilized Liposomes for the Treatment of Bacterial Infection. J. Am. Chem. Soc. 2011, 133, 4132–4139. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  167. Harvey, D.; Bardelang, P.; Goodacre, S.L.; Cockayne, A.; Thomas, N.R. Antibiotic Spider Silk: Site-Specific Functionalization of Recombinant Spider Silk Using “Click” Chemistry. Adv. Mater. 2017, 29. [Google Scholar] [CrossRef] [PubMed]
  168. Assimacopoulos, D. Low Intensity Negative Electric Current in the Treatment of Ulcers of the Leg Due to Chronic Venous Insufficiency. Preliminary Report of Three Cases. Am. J. Surg. 1968, 115, 683–687. [Google Scholar] [CrossRef]
  169. Carley, P.J.; Wainapel, S.F. Electrotherapy for Acceleration of Wound Healing: Low Intensity Direct Current. Arch. Phys. Med. Rehabil. 1985, 66, 443–446. [Google Scholar] [PubMed]
  170. Rowley, B.A.; Mckenna, J.M.; Chase, G.R.; Wolcott, L.E. The Influence of Electrical Current on an Infecting Microorganism in Wounds. Ann. N. Y. Acad. Sci. 1974, 238, 543–551. [Google Scholar] [CrossRef]
  171. Wolcott, L.E.; Wheeler, P.C.; Hardwicke, H.M.; Rowley, B.A. Accelerated Healing of Skin Ulcer by Electrotherapy: Preliminary Clinical Results. South. Med. J. 1969, 62, 795–801. [Google Scholar] [CrossRef]
  172. Ojingwa, J.C.; Isseroff, R.R. Electrical Stimulation of Wound Healing. J. Investig. Dermatol. 2003, 121, 1–12. [Google Scholar] [CrossRef] [Green Version]
  173. Isseroff, R.R.; Dahle, S.E. Electrical Stimulation Therapy and Wound Healing: Where Are We Now? Adv. Wound Care 2012, 1, 238–243. [Google Scholar] [CrossRef] [Green Version]
  174. Sultana, S.T.; Atci, E.; Babauta, J.T.; Falghoush, A.M.; Snekvik, K.R.; Call, D.R.; Beyenal, H. Electrochemical Scaffold Generates Localized, Low Concentration of Hydrogen Peroxide That Inhibits Bacterial Pathogens and Biofilms. Sci. Rep. 2015, 5, 14908. [Google Scholar] [CrossRef] [PubMed]
  175. Stanton, M.M.; Park, B.W.; Vilela, D.; Bente, K.; Faivre, D.; Sitti, M.; Sánchez, S. Magnetotactic Bacteria Powered Biohybrids Target E. coli Biofilms. ACS Nano 2017, 11, 9968–9978. [Google Scholar] [CrossRef] [PubMed]
  176. Koek, M.M.; Jellema, R.H.; Van Der Greef, J.; Tas, A.C.; Hankemeier, T. Quantitative Metabolomics Based on Gas Chromatography Mass Spectrometry: Status and Perspectives. Metabolomics 2011, 7, 307–328. [Google Scholar] [CrossRef]
  177. Ebrahimi, A.; Alam, M.A. Evaporation-Induced Stimulation of Bacterial Osmoregulation for Electrical Assessment of Cell Viability. Proc. Natl. Acad. Sci. USA 2011, 113, 7059–7064. [Google Scholar] [CrossRef] [PubMed]
  178. Huang, P.H.; Ren, L.; Nama, N.; Li, S.; Li, P.; Yao, X.; Cuento, R.A.; Wei, C.H.; Chen, Y.; Xie, Y.; et al. An Acoustofluidic Sputum Liquefier. Lab Chip 2015, 15, 3125–3131. [Google Scholar] [CrossRef] [PubMed]
  179. Kim, H.J.; Li, H.; Collins, J.J.; Ingber, D.E. Contributions of Microbiome and Mechanical Deformation to Intestinal Bacterial Overgrowth and Inflammation in a Human Gut-on-a-Chip. Proc. Natl. Acad. Sci. USA 2016, 113, E7–E15. [Google Scholar] [CrossRef] [PubMed]
  180. Liu, Z.; Banaei, N.; Ren, K. Microfluidics for Combating Antimicrobial Resistance. Trends Biotechnol. 2017, 35, 1129–1139. [Google Scholar] [CrossRef] [PubMed]
  181. Lasken, R.S. Genomic Sequencing of Uncultured Microorganisms from Single Cells. Nat. Rev. Microbiol. 2012, 10, 631–640. [Google Scholar] [CrossRef]
  182. Welling, M.M.; Bunschoten, A.; Kuil, J.; Nelissen, R.G.; Beekman, F.J.; Buckle, T.; Van Leeuwen, F.W. Development of a Hybrid Tracer for Spect and Optical Imaging of Bacterial Infections. Bioconjug. Chem. 2015, 26, 839–849. [Google Scholar] [CrossRef]
  183. Schmidt, K.; O’grady, J. Minion Nanopore Sequencing to Identify Pathogens and Resistance Genes Directly from Urine Specimens. In Proceedings of the ICAAC-ICC Conference of the American Society for Microbiology, San Diego, CA, USA, 17–21 September 2015. [Google Scholar]
  184. Yeh, E.C.; Fu, C.C.; Hu, L.; Thakur, R.; Feng, J.; Lee, L.P. Self-Powered Integrated Microfluidic Point-of-Care Low-Cost Enabling (Simple). Chip. Sci. Adv. 2017, 3, e1501645. [Google Scholar] [CrossRef]
  185. Cui, X.; Das, A.; Dhawane, A.N.; Sweeney, J.; Zhang, X.; Chivukula, V.; Iyer, S.S. Highly Specific and Rapid Glycan Based Amperometric Detection of Influenza Viruses. Chem. Sci. 2017, 8, 3628–3634. [Google Scholar] [CrossRef] [PubMed]
  186. Metchnikoff, E.; Mitchell, P.C. The Prolongation of Life: Optimistic Studies; Springer Classics in Longevity and Aging; Springer: New York, NY, USA, 2004; ISBN 0826118763 9780826118769. [Google Scholar]
  187. Araya, M.; Stanton, C.; Morelli, L.; Reid, G.; Pineiro, M. Probiotics in Food: Health and Nutritional Properties and Guidelines for Evaluation. 2006. Available online: (accessed on 15 January 2019).
  188. FAO/WHO. Joint FAO/WHO Working Group Report on Drafting Guidelines for the Evaluation of Probiotics in Food; FAO/WHO: London, ON, Canada, 2013; Available online: (accessed on 15 January 2019).
  189. Ripert, G.; Racedo, S.M.; Elie, A.M.; Jacquot, C.; Bressollier, P.; Urdaci, M.C. Secreted Compounds of the Probiotic Bacillus clausii Strain O/C Inhibit the Cytotoxic Effects Induced by Clostridium difficile and Bacillus cereus Toxins. Antimicrob. Agents Chemother. 2016, 60, 3445–3454. [Google Scholar] [CrossRef] [PubMed]
  190. Hudcovic, T.; Kolinska, J.; Klepetar, J.; Stepankova, R.; Rezanka, T.; Srutkova, D.; Schwarzer, M.; Erban, V.; Du, Z.; Wells, J.M.; et al. Protective Effect of Clostridium tyrobutyricum in Acute Dextran Sodium Sulphate-Induced Colitis: Differential Regulation of Tumour Necrosis Factor-A and Interleukin-18 in Balb/C and Severe Combined Immunodeficiency Mice. Clin. Exp. Immunol. 2012, 167, 356–365. [Google Scholar] [CrossRef] [PubMed]
  191. Gibson, G.R.; Roberfroid, M.B. Dietary Modulation of the Human Colonic Microbiota: Introducing the Concept of Prebiotics. J. Nutr. 1995, 125, 1401–1412. [Google Scholar] [CrossRef] [PubMed]
  192. Gibson, G.R.; Probert, H.M.; Loo, J.V.; Rastall, R.A.; Roberfroid, M.B. Dietary Modulation of the Human Colonic Microbiota: Updating the Concept of Prebiotics. Nutr. Res. Rev. 2004, 17, 259–275. [Google Scholar] [CrossRef] [PubMed]
  193. Roberfroid, M. Prebiotics: The Concept Revisited. J. Nutr. 2007, 137, 830S–837S. [Google Scholar] [CrossRef] [PubMed]
  194. Niness, K.R. Inulin and Oligofructose: What Are They? J. Nutr. 1999, 129, 1402S–1406S. [Google Scholar] [CrossRef] [Green Version]
  195. Przemyslaw, J.T.; Piotr, T. Probiotics and Prebiotics. Cereal. Chem. 2003, 80, 113–117. [Google Scholar] [CrossRef]
  196. Pourghassem Gargari, B.; Dehghan, P.; Aliasgharzadeh, A.; Asghari Jafar-Abadi, M. Effects of High Performance Inulin Supplementation on Glycemic Control and Antioxidant Status in Women with Type 2 Diabetes. Diabetes Metab. J. 2013, 37, 140–148. [Google Scholar] [CrossRef]
  197. Fooks, L.J.; Gibson, G.R. In Vitro Investigations of the Effect of Probiotics and Prebiotics on Selected Human Intestinal Pathogens. FEMS Microbiol. Ecol. 2002, 39, 67–75. [Google Scholar] [CrossRef]
  198. Wong, J.M.; De Souza, R.; Kendall, C.W.; Emam, A.; Jenkins, D.J. Colonic Health: Fermentation and Short Chain Fatty Acids. J. Clin. Gastroenterol. 2006, 40, 235–243. [Google Scholar] [CrossRef] [PubMed]
  199. Slavin, J. Fiber and Prebiotics: Mechanisms and Health Benefits. Nutrients 2013, 5, 1417–1435. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  200. Atarashi, K.; Tanoue, T.; Shima, T.; Imaoka, A.; Kuwahara, T.; Momose, Y.; Cheng, G.; Yamasaki, S.; Saito, T.; Ohba, Y.; et al. Induction of Colonic Regulatory T Cells by Indigenous Clostridium Species. Science 2011, 331, 337–341. [Google Scholar] [CrossRef] [PubMed]
  201. Feuillet, L.; Carvajal, J.; Sudre, I.; Pelletier, J.; Thomassin, J.M.; Drancourt, M.; Cherif, A.A. First Isolation of Bacteroides thetaiotaomicron from a Patient with a Cholesteatoma and Experiencing Meningitis. J. Clin. Microbiol. 2005, 43, 1467–1469. [Google Scholar] [CrossRef] [PubMed]
  202. Marriott, H.M.; Mitchell, T.J.; Dockrell, D.H. Pneumolysin: A Double-Edged Sword During the Host-Pathogen Interaction. Curr. Mol. Med. 2008, 8, 497–509. [Google Scholar] [CrossRef] [PubMed]
  203. Kluytmans, J.; Van Belkum, A.; Verbrugh, H. Nasal Carriage of Staphylococcus aureus: Epidemiology, Underlying Mechanisms, and Associated Risks. Clin. Microbiol. Rev. 1997, 10, 505–520. [Google Scholar] [CrossRef] [PubMed]
  204. Bartlett, J.G. Clinical Practice. Antibiotic-Associated Diarrhea. N. Engl. J. Med. 2002, 346, 334–339. [Google Scholar] [CrossRef] [PubMed]
  205. Mcfarland, L.V. Meta-Analysis of Probiotics for the Prevention of Antibiotic Associated Diarrhea and the Treatment of Clostridium difficile Disease. Am. J. Gastroenterol. 2006, 101, 812–822. [Google Scholar] [CrossRef] [PubMed]
  206. Mcdonald, L.; Lessa, F.; Sievert, D.; Wise, M.; Herrera, R.; Gould, C.; Al, E. Vital Signs: Preventing Clostridium Difficile Infections. Morbidity Mortal. Weely. Rep. (MMWR) 2012, 61, 157–162. [Google Scholar]
  207. Bakken, J.S.; Borody, T.; Brandt, L.J.; Brill, J.V.; Demarco, D.C.; Franzos, M.A.; Kelly, C.; Khoruts, A.; Louie, T.; Martinelli, L.P.; et al. Treating Clostridium difficile Infection with Fecal Microbiota Transplantation. Clin. Gastroenterol. Hepatol. 2011, 9, 1044–1049. [Google Scholar] [CrossRef]
  208. Brandt, L.J.; Aroniadis, O.C.; Mellow, M.; Kanatzar, A.; Kelly, C.; Park, T.; Stollman, N.; Rohlke, F.; Surawicz, C. Long-Term Follow-up of Colonoscopic Fecal Microbiota Transplant for Recurrent Clostridium difficile Infection. Am. J. Gastroenterol. 2012, 107, 1079–1087. [Google Scholar] [CrossRef] [PubMed]
  209. Youngster, I.; Russell, G.H.; Pindar, C.; Ziv-Baran, T.; Sauk, J.; Hohmann, E.L. Oral, Capsulized, Frozen Fecal Microbiota Transplantation for Relapsing Clostridium difficile Infection. JAMA 2014, 312, 1772–1778. [Google Scholar] [CrossRef] [PubMed]
  210. Ubeda, C.; Taur, Y.; Jenq, R.R.; Equinda, M.J.; Son, T.; Samstein, M.; Viale, A.; Socci, N.D.; Van Den Brink, M.R.; Kamboj, M.; et al. Vancomycin-Resistant Enterococcus Domination of Intestinal Microbiota Is Enabled by Antibiotic Treatment in Mice and Precedes Bloodstream Invasion in Humans. J. Clin. Investig. 2010, 120, 4332–4341. [Google Scholar] [CrossRef] [PubMed]
  211. Ubeda, C.; Bucci, V.; Caballero, S.; Djukovic, A.; Toussaint, N.C.; Equinda, M.; Lipuma, L.; Ling, L.; Gobourne, A.; No, D.; et al. Intestinal Microbiota Containing Barnesiella Species Cures Vancomycin-Resistant Enterococcus faecium Colonization. Infect. Immun. 2013, 81, 965–973. [Google Scholar] [CrossRef] [PubMed]
  212. Jacob, A.E.; Hobbs, S.J. Conjugal Transfer of Plasmid-Borne Multiple Antibiotic Resistance in Streptococcus faecalis Var. Zymogenes. J. Bacteriol. 1974, 117, 360–372. [Google Scholar] [PubMed]
  213. Montealegre, M.C.; Singh, K.V.; Murray, B.E. Gastrointestinal Tract Colonization Dynamics by Different Enterococcus faecium Clades. J. Infect. Dis. 2016, 213, 1914–1922. [Google Scholar] [CrossRef] [PubMed]
  214. Wurster, J.I.; Saavedra, J.T.; Gilmore, M.S. Impact of Antibiotic Use on the Evolution of Enterococcus faecium. J. Infect. Dis. 2016, 213, 1862–1865. [Google Scholar] [CrossRef]
  215. Stecher, B.; Berry, D.; Loy, A. Colonization Resistance and Microbial Ecophysiology: Using Gnotobiotic Mouse Models and Single-Cell Technology to Explore the Intestinal Jungle. FEMS Microbiol. Rev. 2013, 37, 793–829. [Google Scholar] [CrossRef]
  216. Deriu, E.; Liu, J.Z.; Pezeshki, M.; Edwards, R.A.; Ochoa, R.J.; Contreras, H.; Libby, S.J.; Fang, F.C.; Raffatellu, M. Probiotic Bacteria Reduce Salmonella typhimurium Intestinal Colonization by Competing for Iron. Cell Host Microbe 2013, 14, 26–37. [Google Scholar] [CrossRef]
  217. Fu, Y.; Waldor, M.K.; Mekalanos, J.J. Tn-Seq Analysis of Vibrio cholerae Intestinal Colonization Reveals a Role for T6ss-Mediated Antibacterial Activity in the Host. Cell Host Microbe 2013, 14, 652–663. [Google Scholar] [CrossRef]
  218. Van Rensburg, J.J.; Lin, H.; Gao, X.; Toh, E.; Fortney, K.R.; Ellinger, S.; Zwickl, B.; Janowicz, D.M.; Katz, B.P.; Nelson, D.E.; et al. The Human Skin Microbiome Associates with the Outcome of and Is Influenced by Bacterial Infection. Mbio 2015, 6. [Google Scholar] [CrossRef] [PubMed]
  219. Diggle, S.P.; Griffin, A.S.; Campbell, G.S.; West, S.A. Cooperation and Conflict in Quorum-Sensing Bacterial Populations. Nature 2007, 450, 411–414. [Google Scholar] [CrossRef] [PubMed]
  220. Sandoz, K.M.; Mitzimberg, S.M.; Schuster, M. Social Cheating in Pseudomonas aeruginosa Quorum Sensing. Proc. Natl. Acad. Sci. USA 2007, 104, 15876–15881. [Google Scholar] [CrossRef] [PubMed]
  221. Wolfe, B.E.; Dutton, R.J. Fermented Foods as Experimentally Tractable Microbial Ecosystems. Cell 2015, 161, 49–55. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  222. Guillouzouic, A.; Bemer, P.; Gay-Andrieu, F.; Bretonnière, C.; Lepelletier, D.; Mahé, P.J.; Villers, D.; Jarraud, S.; Reynaud, A.; Corvec, S. Fatal Coinfection with Legionella pneumophila Serogroup 8 and Aspergillus fumigatus. Diagn. Microbiol. Infect. Dis. 2008, 60, 193–195. [Google Scholar] [CrossRef] [PubMed]
  223. Gupta, N.; Haque, A.; Mukhopadhyay, G.; Narayan, R.P.; Prasad, R. Interactions between Bacteria and Candida in the Burn Wound. Burns 2005, 31, 375–378. [Google Scholar] [CrossRef] [PubMed]
  224. Hermann, C.; Hermann, J.; Munzel, U.; Rüchel, R. Bacterial Flora Accompanying Candida Yeasts in Clinical Specimens. Mycoses 1999, 42, 619–627. [Google Scholar] [CrossRef]
  225. Mangan, A. Interactions between Some Aural Aspergillus Species and Bacteria. J. Gen. Microbiol. 1969, 58, 261–266. [Google Scholar] [CrossRef] [Green Version]
  226. Pate, J.C.; Jones, D.B.; Wilhelmus, K.R. Prevalence and Spectrum of Bacterial Co-Infection During Fungal Keratitis. Br. J. Ophthalmol. 2006, 90, 289–292. [Google Scholar] [CrossRef]
  227. Peleg, A.Y.; Hogan, D.A.; Mylonakis, E. Medically Important Bacterial-Fungal Interactions. Nat. Rev. Microbiol. 2010, 8, 340–349. [Google Scholar] [CrossRef]
  228. Shirtliff, M.E.; Peters, B.M.; Jabra-Rizk, M.A. Cross-Kingdom Interactions: Candida albicans and Bacteria. FEMS Microbiol Lett 2009, 299, 1–8. [Google Scholar] [CrossRef] [PubMed]
  229. Wargo, M.J.; Hogan, D.A. Fungal-Bacterial Interactions: A Mixed Bag of Mingling Microbes. Curr. Opin. Microbiol. 2006, 9, 359–364. [Google Scholar] [CrossRef] [PubMed]
  230. Müller, F.M.; Seidler, M. Characteristics of Pathogenic Fungi and Antifungal Therapy in Cystic Fibrosis. Expert Rev. Anti-Infect. Ther. 2010, 8, 957–964. [Google Scholar] [CrossRef]
  231. Pfaller, M.A.; Diekema, D.J. Epidemiology of Invasive Candidiasis: A Persistent Public Health Problem. Clin. Microbiol. Rev. 2007, 20, 133–163. [Google Scholar] [CrossRef]
  232. Harriott, M.M.; Noverr, M.C. Ability of Candida albicans Mutants to Induce Staphylococcus aureus Vancomycin Resistance During Polymicrobial Biofilm Formation. Antimicrob. Agents Chemother. 2010, 54, 3746–3755. [Google Scholar] [CrossRef] [PubMed]
  233. Harriott, M.M.; Noverr, M.C. Candida albicans and Staphylococcus aureus Form Polymicrobial Biofilms: Effects on Antimicrobial Resistance. Antimicrob. Agents Chemother. 2009, 53, 3914–3922. [Google Scholar] [CrossRef]
  234. Harriott, M.M.; Noverr, M.C. Importance of Candida-Bacterial Polymicrobial Biofilms in Disease. Trends Microbiol. 2011, 19, 557–563. [Google Scholar] [CrossRef]
  235. Carlson, E. Effect of Strain of Staphylococcus aureus on Synergism with Candida albicans Resulting in Mouse Mortality and Morbidity. Infect. Immun. 1983, 42, 285–292. [Google Scholar]
  236. Carlson, E. Enhancement by Candida albicans of Staphylococcus aureus, Serratia marcescens, and Streptococcus faecalis in the Establishment of Infection in Mice. Infect. Immun. 1983, 39, 193–197. [Google Scholar]
  237. Klaerner, H.G.; Uknis, M.E.; Acton, R.D.; Dahlberg, P.S.; Carlone-Jambor, C.; Dunn, D.L. Candida albicans and Escherichia coli Are Synergistic Pathogens During Experimental Microbial Peritonitis. J. Surg. Res. 1997, 70, 161–165. [Google Scholar] [CrossRef]
  238. Noverr, M.C.; Huffnagle, G.B. Regulation of Candida albicans Morphogenesis by Fatty Acid Metabolites. Infect. Immun. 2004, 72, 6206–6210. [Google Scholar] [CrossRef] [PubMed]
  239. Joyner, P.M.; Liu, J.; Zhang, Z.; Merritt, J.; Qi, F.; Cichewicz, R.H. Mutanobactin a from the Human Oral Pathogen Streptococcus mutans Is a Cross-Kingdom Regulator of the Yeast-Mycelium Transition. Org. Biomol. Chem. 2010, 8, 5486–5489. [Google Scholar] [CrossRef] [PubMed]
  240. Cugini, C.; Calfee, M.W.; Farrow, J.M.; Morales, D.K.; Pesci, E.C.; Hogan, D.A. Farnesol, a Common Sesquiterpene, Inhibits Pqs Production in Pseudomonas aeruginosa. Mol. Microbiol. 2007, 65, 896–906. [Google Scholar] [CrossRef] [PubMed]
  241. Cugini, C.; Morales, D.K.; Hogan, D.A. Candida albicans-Produced Farnesol Stimulates Pseudomonas Quinolone Signal Production in Lasr-Defective Pseudomonas aeruginosa Strains. Microbiology 2010, 156, 3096–3107. [Google Scholar] [CrossRef] [PubMed]
  242. Frases, S.; Salazar, A.; Dadachova, E.; Casadevall, A. Cryptococcus neoformans Can Utilize the Bacterial Melanin Precursor Homogentisic Acid for Fungal Melanogenesis. Appl. Environ. Microbiol. 2007, 73, 615–621. [Google Scholar] [CrossRef] [PubMed]
  243. Frases, S.; Chaskes, S.; Dadachova, E.; Casadevall, A. Induction by Klebsiella aerogenes of a Melanin-Like Pigment in Cryptococcus neoformans. Appl. Environ. Microbiol. 2006, 72, 1542–1550. [Google Scholar] [CrossRef]
  244. Nikawa, H.; Egusa, H.; Makihira, S.; Yamashiro, H.; Fukushima, H.; Jin, C.; Nishimura, M.; Pudji, R.R.; Hamada, T. Alteration of the Coadherence of Candida albicans with Oral Bacteria by Dietary Sugars. Oral Microbiol. Immunol. 2001, 16, 279–283. [Google Scholar] [CrossRef]
  245. Peters, B.M.; Jabra-Rizk, M.A.; Scheper, M.A.; Leid, J.G.; Costerton, J.W.; Shirtliff, M.E. Microbial Interactions and Differential Protein Expression in Staphylococcus aureus-Candida albicans Dual-Species Biofilms. FEMS Immunol. Med. Microbiol. 2010, 59, 493–503. [Google Scholar] [CrossRef] [PubMed]
  246. Donlan, R.M.; Costerton, J.W. Biofilms: Survival Mechanisms of Clinically Relevant Microorganisms. Clin. Microbiol. Rev. 2002, 15, 167–193. [Google Scholar] [CrossRef] [Green Version]
  247. Hogan, D.; Wargo, M.; Beck, N. Bacterial biofilms on fungal surfaces. In The Biofilm Mode of Life: Mechanisms and Adaptations; Kjelleberg, S., Givskov, M., Eds.; Horizon Scientific Press: Norfolk, UK, 2007; pp. 235–245. ISBN 9781904933335. [Google Scholar]
  248. Baena-Monroy, T.; Moreno-Maldonado, V.; Franco-Martínez, F.; Aldape-Barrios, B.; Quindós, G.; Sánchez-Vargas, L.O. Candida albicans, Staphylococcus aureus and Streptococcus mutans Colonization in Patients Wearing Dental Prosthesis. Med. Oral Patol. Oral Cir. Bucal 2005, 10 (Suppl. S1), E27–E39. [Google Scholar]
  249. Pierce, G.E. Pseudomonas aeruginosa, Candida albicans, and Device-Related Nosocomial Infections: Implications, Trends, and Potential Approaches for Control. J. Ind. Microbiol. Biotechnol. 2005, 32, 309–318. [Google Scholar] [CrossRef] [PubMed]
  250. Zanello, G.; Meurens, F.; Berri, M.; Salmon, H. Saccharomyces boulardii Effects on Gastrointestinal Diseases. Curr. Issues Mol. Biol. 2009, 11, 47–58. [Google Scholar] [PubMed]
  251. Castagliuolo, I.; Lamont, J.T.; Nikulasson, S.T.; Pothoulakis, C. Saccharomyces boulardii Protease Inhibits Clostridium difficile Toxin a Effects in the Rat Ileum. Infect. Immun. 1996, 64, 5225–5232. [Google Scholar] [PubMed]
  252. Castagliuolo, I.; Riegler, M.F.; Valenick, L.; Lamont, J.T.; Pothoulakis, C. Saccharomyces boulardii Protease Inhibits the Effects of Clostridium difficile Toxins a and B in Human Colonic Mucosa. Infect. Immun. 1999, 67, 302–307. [Google Scholar] [CrossRef]
  253. Buts, J.P.; De Keyser, N. Effects of Saccharomyces boulardii on Intestinal Mucosa. Dig. Dis. Sci. 2006, 51, 1485–1492. [Google Scholar] [CrossRef] [PubMed]
  254. Wu, X.; Vallance, B.A.; Boyer, L.; Bergstrom, K.S.; Walker, J.; Madsen, K.; O’kusky, J.R.; Buchan, A.M.; Jacobson, K. Saccharomyces boulardii Ameliorates Citrobacter Rodentium-Induced Colitis through Actions on Bacterial Virulence Factors. Am. J. Physiol. Gastrointest. Liver Physiol. 2008, 294, G295–G306. [Google Scholar] [CrossRef] [PubMed]
  255. Koval, S.F.; Hynes, S.H.; Flannagan, R.S.; Pasternak, Z.; Davidov, Y.; Jurkevitch, E. Bdellovibrio exovorus Sp. Nov., a Novel Predator of Caulobacter crescentus. Int. J. Syst. Evol. Microbiol. 2013, 63, 146–151. [Google Scholar] [CrossRef]
  256. Snyder, A.R.; Williams, H.N.; Baer, M.L.; Walker, K.E.; Stine, O.C. 16S rDNA Sequence Analysis of Environmental Bdellovibrio-and-Like Organisms (Balo) Reveals Extensive Diversity. Int. J. Syst. Evol. Microbiol. 2002, 52, 2089–2094. [Google Scholar] [CrossRef]
  257. Starr, M.P.; Seidler, R.J. The Bdellovibros. Annu. Rev. Microbiol. 1971, 25, 649–678. [Google Scholar] [CrossRef]
  258. Strauch, E.; Beck, S.; Appel, B. Predatory Prokaryotes: Biology, Ecology and Evolution; Springer: Berlin/Heidelberg, Germany, 2007; ISBN 978-3-540-38582-0. [Google Scholar]
  259. Guerrini, F.; Romano, V.; Valenzi, M.; Di Giulio, M.; Mupo, M.R.; Sacco, M. Molecular Parasitism in the Escherichia coli-Bdellovibrio bacteriovorus System: Translocation of the Matrix Protein from the Host to the Parasite Outer Membrane. EMBO J. 1982, 1, 1439–1444. [Google Scholar] [CrossRef]
  260. Cao, H.; An, J.; Zheng, W.; He, S. Vibrio cholerae Pathogen from the Freshwater-Cultured Whiteleg Shrimp Penaeus vannamei and Control with Bdellovibrio bacteriovorus. J. Invertebr. Pathol 2015, 130, 13–20. [Google Scholar] [CrossRef] [PubMed]
  261. George, A.S.; Salas González, I.; Lorca, G.L.; Teplitski, M. Contribution of the Salmonella enterica Kdgr Regulon to Persistence of the Pathogen in Vegetable Soft Rots. Appl. Environ. Microbiol. 2016, 82, 1353–1360. [Google Scholar] [CrossRef] [PubMed]
  262. Lopez-Velasco, G.; Tydings, H.A.; Boyer, R.R.; Falkinham, J.O.; Ponder, M.A. Characterization of Interactions between Escherichia coli O157:H7 with Epiphytic Bacteria in Vitro and on Spinach Leaf Surfaces. Int. J. Food Microbiol. 2012, 153, 351–357. [Google Scholar] [CrossRef] [PubMed]
  263. Swearingen, M.C.; Porwollik, S.; Desai, P.T.; Mcclelland, M.; Ahmer, B.M. Virulence of 32 Salmonella Strains in Mice. PLoS ONE 2012, 7, e36043. [Google Scholar] [CrossRef] [PubMed]
  264. Marshall, B.M.; Levy, S.B. Food Animals and Antimicrobials: Impacts on Human Health. Clin. Microbiol. Rev. 2011, 24, 718–733. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  265. Daghrir, R.; Drogui, P. Tetracycline Antibiotics in the Environment: A Review. Environ. Chem. Lett. 2013, 11, 209–227. [Google Scholar] [CrossRef]
  266. Proia, L.; Von Schiller, D.; Sànchez-Melsió, A.; Sabater, S.; Borrego, C.M.; Rodríguez-Mozaz, S.; Balcázar, J.L. Occurrence and Persistence of Antibiotic Resistance Genes in River Biofilms after Wastewater Inputs in Small Rivers. Environ. Pollut. 2016, 210, 121–128. [Google Scholar] [CrossRef]
  267. Rodriguez-Mozaz, S.; Chamorro, S.; Marti, E.; Huerta, B.; Gros, M.; Sànchez-Melsió, A.; Borrego, C.M.; Barceló, D.; Balcázar, J.L. Occurrence of Antibiotics and Antibiotic Resistance Genes in Hospital and Urban Wastewaters and Their Impact on the Receiving River. Water Res. 2015, 69, 234–242. [Google Scholar] [CrossRef]
  268. Kotwani, A.; Holloway, K. Trends in Antibiotic Use among Outpatients in New Delhi, India. BMC Infect. Dis. 2011, 11, 99. [Google Scholar] [CrossRef]
  269. Langford, B.J.; Seah, J.; Chan, A.; Downing, M.; Johnstone, J.; Matukas, L.M. Antimicrobial Stewardship in the Microbiology Laboratory: Impact of Selective Susceptibility Reporting on Ciprofloxacin Utilization and Susceptibility of Gram-Negative Isolates to Ciprofloxacin in a Hospital Setting. J. Clin. Microbiol. 2016, 54, 2343–2347. [Google Scholar] [CrossRef] [Green Version]
  270. Pivotal Study in Nosocomial Pneumonia Suspected or Confirmed to be Due to Pseudomonas (PRISM-UDR). Available online: (accessed on 15 January 2019).
  271. A Study of CB-183,315 in Participants with Clostridium difficile Associated Diarrhea (MK-4261-006). Available online: (accessed on 15 January 2019).
  272. Study Comparing the Safety and Efficacy of Cethromycin to Clarithromycin for the Treatment of Community-Acquired Pneumonia (CAP). Available online: (accessed on 15 January 2019).
  273. Safety and Efficacy Study of Single-Dose Oral CEM-101 in Patients with Uncomplicated Urogenital Gonorrhea. Available online: (accessed on 15 January 2019).
  274. Efficacy and Safety Study of Oral CEM-101 Compared to Oral Levofloxacin in Treatment of Patients With Community-Acquired Bacterial Pneumonia. Available online: (accessed on 15 January 2019).
Figure 1. Major emerging classes of antimicrobial molecules. The division into peptides and non-peptides is not strict, since peptides can be antibiotic enhancers, siderophores, or parts of photo-switchable antibiotics.
Figure 1. Major emerging classes of antimicrobial molecules. The division into peptides and non-peptides is not strict, since peptides can be antibiotic enhancers, siderophores, or parts of photo-switchable antibiotics.
Antibiotics 08 00008 g001
Table 1. Emerging targets for antibiotic research and development, current discovery approaches, and potential sources for novel antibiotics.
Table 1. Emerging targets for antibiotic research and development, current discovery approaches, and potential sources for novel antibiotics.
Novel Targets Identified with ReferencesDiscovery ApproachesSources
Essential amino acid biosynthesis [7,8,9,10,11,12,13,14]Informatics-based miningMedicinal plants
Cell wall lipid biosynthesis [15,16]Cryptic Biosynthetic Gene Clusters (BGC) activation
  • Antibiotic stimulation
  • Quorum sensing signals
  • Specific pathway inhibitors
Marine invertebrates
Lipid insertion enzymes [17]Insect and vertebrate symbionts
Metal chelator biosynthesis [18]Microbial co-cultures
Quorum sensing metabolism [19,20,21,22,23,24,25,26,27,28,29,30,31]BGC engineering
  • Special plasmids
  • Engineered pathways
  • Replacing native promoters
Endophytic fungi and bacteria
Clp proteases [32,33]Uncultured microbes
Cyclic-di- Guanosine monophosphate (GMP) levels [34]Skin, blood, venoms
Table 2. Current antimicrobial materials and technologies for infectious disease prevention, in preclinical development, and as vehicles for antibiotic delivery.
Table 2. Current antimicrobial materials and technologies for infectious disease prevention, in preclinical development, and as vehicles for antibiotic delivery.
PreventionPreclinicalAntibiotic Delivery
Graphene and silver-based nanomaterials
Organic-inorganic hybrid nanoparticles
Microbots for water treatment
Phage-patterned nanoparticlesSilica nanoparticles
Nanoparticle-liposome conjugates
Engineered spider silkElectrochemical H2O2 generationHybrid bacteria-nanoparticle swimmers
Table 3. Major new technologies in infectious disease diagnostics.
Table 3. Major new technologies in infectious disease diagnostics.
Monitoring Technology TypesDirect in-Sample MethodsPoint-of-Care Devices
Mass spectrometry-basedMagnetic resonance-basedMicrofluidic blood serum separator
Automated imagingSmarticlesPortable influenza tester
Microfluidics-basedDNA sequencing-based-
Table 4. Some antibiotics recently evaluated in clinical studies.
Table 4. Some antibiotics recently evaluated in clinical studies.
Drug Molecule with ReferenceClinical PhaseMedical Condition
POL70780/Murepavadin [270] Phase 3Pneumonia
Surotomycin [271]Phase 3Diarrhea
Cethromycin (semi-synthetic) [272]Phase 3Pneumonia
Solithromycin (semi-synthetic) [273,274]Phase 2Uncomplicated urogenital
gonorrhea, Pneumonia

Share and Cite

MDPI and ACS Style

Mantravadi, P.K.; Kalesh, K.A.; Dobson, R.C.J.; Hudson, A.O.; Parthasarathy, A. The Quest for Novel Antimicrobial Compounds: Emerging Trends in Research, Development, and Technologies. Antibiotics 2019, 8, 8.

AMA Style

Mantravadi PK, Kalesh KA, Dobson RCJ, Hudson AO, Parthasarathy A. The Quest for Novel Antimicrobial Compounds: Emerging Trends in Research, Development, and Technologies. Antibiotics. 2019; 8(1):8.

Chicago/Turabian Style

Mantravadi, Pavan K., Karunakaran A. Kalesh, Renwick C. J. Dobson, André O. Hudson, and Anutthaman Parthasarathy. 2019. "The Quest for Novel Antimicrobial Compounds: Emerging Trends in Research, Development, and Technologies" Antibiotics 8, no. 1: 8.

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop