Next Article in Journal
Bacterial Communities and Enzymatic Activities in Sediments of Long-Term Fish and Crab Aquaculture Ponds
Next Article in Special Issue
Characterization of Two Unique Cold-Active Lipases Derived from a Novel Deep-Sea Cold Seep Bacterium
Previous Article in Journal
Visible Lights Combined with Photosensitizing Compounds Are Effective against Candida albicans Biofilms
Previous Article in Special Issue
β-Galactosidases from a Sequence-Based Metagenome: Cloning, Expression, Purification and Characterization
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Genome-Driven Discovery of Enzymes with Industrial Implications from the Genus Aneurinibacillus

by
Majid Rasool Kamli
1,2,*,
Nada A. Y. Alzahrani
2,
Nahid H. Hajrah
1,
Jamal S. M. Sabir
1,2 and
Adeel Malik
3,*
1
Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
2
Center of excellence in Bionanoscience Research, King Abdulaziz University, Jeddah 21589, Saudi Arabia
3
Institute of Intelligence Informatics Technology, Sangmyung University, Seoul 30316, Korea
*
Authors to whom correspondence should be addressed.
Microorganisms 2021, 9(3), 499; https://doi.org/10.3390/microorganisms9030499
Submission received: 15 December 2020 / Revised: 19 February 2021 / Accepted: 23 February 2021 / Published: 26 February 2021
(This article belongs to the Special Issue Novel Microbial Enzymes with Industrial Applications)

Abstract

:
Bacteria belonging to the genus Aneurinibacillus within the family Paenibacillaceae are Gram-positive, endospore-forming, and rod-shaped bacteria inhabiting diverse environments. Currently, there are eight validly described species of Aneurinibacillus; however, several unclassified species have also been reported. Aneurinibacillus spp. have shown the potential for producing secondary metabolites (SMs) and demonstrated diverse types of enzyme activities. These features make them promising candidates with industrial implications. At present, genomes of 9 unique species from the genus Aneurinibacillus are available, which can be utilized to decipher invaluable information on their biosynthetic potential as well as enzyme activities. In this work, we performed the comparative genome analyses of nine Aneurinibacillus species representing the first such comprehensive study of this genus at the genome level. We focused on discovering the biosynthetic, biodegradation, and heavy metal resistance potential of this under-investigated genus. The results indicate that the genomes of Aneurinibacillus contain SM-producing regions with diverse bioactivities, including antimicrobial and antiviral activities. Several carbohydrate-active enzymes (CAZymes) and genes involved in heavy metal resistance were also identified. Additionally, a broad range of enzyme classes were also identified in the Aneurinibacillus pan-genomes, making this group of bacteria potential candidates for future investigations with industrial applications.

1. Introduction

The family Paenibacillaceae represents a diverse group of bacteria that belongs to the phylum Firmicutes [1]. Currently, this bacterial family consists of 16 genera, namely: Paenibacillus, Ammoniibacillus, Ammoniphilus, Aneurinibacillus, Brevibacillus, Chengkuizengella, Cohnella, Fontibacillus, Gorillibacterium, Longirhabdus, Marinicrinis, Oxalophagus, Paludirhabdus, Saccharibacillus, Thermobacillus, and Xylanibacillus [2]. Most of the bacteria in this family are considered to have significant environmental functions and can be used as potential biotechnological candidates. Among the Paenibacillaceae family, the genus Paenibacillus has been widely studied. The isolated strains have been investigated for their role in promoting plant growth, nutrient cycling, production of exopolysaccharides (EPS), and production of secondary metabolites [3]. Furthermore, many Paenibacillus species may be used in insect pest control and can produce antimicrobial compounds [4]. Brevibacillus is another important genus of this family. Members of this genus produce promising secondary metabolites with antimicrobial activity such as tauramamide, which can inhibit Enterococcus spp. [5] The genus Aneurinibacillus was suggested as a new genera of bacteria based on the reclassification of the Bacillus aneurinolyticus and related members of the Bacillus genus [6]. Bacteria belonging to the genus Aneurinibacillus are Gram-positive, endospore-forming, and rod-shaped bacteria, and have been reported from diverse habitats [6,7,8,9,10,11,12,13]. At the time of writing, the list of prokaryotic names with standing in nomenclature (LPSN) [14] database comprises eight validly named species of the genus Aneurinibacillus. An additional species named “Aneurinibacillus humi” [7] is also described but not yet published validly. In addition to these nine species, many unclassified Aneurinibacillus strains have been reported [15].
Members of the genus Aneurinibacillus have shown many essential functions with industrial implications. For example, they can act as promising biosurfactants, produce secondary metabolites, possess biocontrol abilities, and exhibit potential environmental applications [16,17,18,19]. One of the essential applications of Aneurinibacillus is its biocontrol potential. Studies have reported their role in controlling plant diseases’ development by producing cyclic peptide GS (gramicidin S) [19,20]. Their biocontrol potential differs among different isolated strains, and strains belonging to the same species showed varying biological control abilities [16]. Among the Aneurinibacillus bacteria, A. aneurinilyticus and A. migulanus are two well-known species with plant growth-promoting properties and antimicrobial cyclic peptide gramicidin-forming capacities [16,21]. Recently, it was reported that Aneurinibacillus sp. H1 has potential for the biosynthesis of polyhydroxyalkanoates (PHA) on an industrial scale, and its capacity for production of copolymers such as 3-hydroxybutyrate (3HB), 4-hydroxybutyrate (4HB), and 3-hydroxyvalerate (3HV) with exceptionally high 4HB and 3HV fractions [22]. Furthermore, A. aneurinilyticus DBT87 isolated from the swine and goat can produce cellulase and xylanase enzymes, which can degrade lignocellulose biomass [23]. Many Aneurinibacillus strains have also shown promising potential for multiple heavy metal resistance [24,25]. These data suggest that the genus Aneurinibacillus represents an extremely promising candidate with a broad range of biotechnological applications.
With advances in genome sequencing technology, it has been speculated that microorganisms remain an important source for discovering novel biosynthetic compounds [26]. Whole-genome sequencing provides a promising technique for mining the biosynthetic potential as well as the discovery of enzymes with industrial implications [27,28,29]. At present, about 20 Aneurinibacillus genomes are available in the PATRIC [30] database. Among these, only nine genomes represent the unique species, making this genus one of the least studied genera within the family Paenibacillaceae, especially at the genomic level. Most of the genomic-based studies for the genus Aneurinibacillus are just genome announcements with limited scope for analyses [20,31,32,33,34,35]. Others were focused on deciphering the secondary metabolite biosynthesis potential of the genus Aneurinibacillus [36]. For example, genome data of three well-studied Aneurinibacillus strains (A. migulanus, A. terranovensis, and A. aneurinilyticus) revealed the existence of secondary metabolite (SM)-producing biosyntthetic gene clusters (BGCs), thus displaying their ability for the production of new bioactive compounds [36]. It was shown that these clusters have the potential for producing a broad range of secondary metabolites such as bacteriocins, microcins, non-ribosomal peptides, polyketides, terpenes, phosphonates, lasso peptides, and linaridins. However, only a limited number of genomes were used in such studies. This limits our understanding of the complete potential of microorganisms, which have shown great capabilities for diverse types of enzyme activities, or the production of bioactive compounds [16,22,37,38,39,40]. Therefore, in this work we apply genome mining approaches to investigate the biosynthetic potential as well as explore the diverse sets of enzymes for biomass degradation and heavy metal resistance present in Aneurinibacillus genomes. Briefly, we observe that in addition to the presence of some common enzyme classes in the Aneurinibacillus pan-genome, specific enzyme categories were also found in each component (core, accessory, and unique) of this pan-genome. We also identified several enzymes which may have biotechnological implications in biodegradation, secondary metabolite biosynthesis, and heavy metal resistance. The current work represents the first comprehensive comparative analysis of the genus Aneurinibacillus by using the publicly available genomes of this underrepresented bacterial group. The findings of the current study might help us further discern the biosynthetic potential and discover a broad set of enzymes that may have industrial significance.

2. Materials and Methods

2.1. Datasets

The PATRIC [30] database was searched for the available Aneurinibacillus genomes, which resulted in 20 genomes with a varying number of contigs. In species with multiple strains, only 1 representative strain was selected if it was a type strain or consisted of a minimum number of contigs. For example, there were 8 genomes available for A. migulanus, out of which only one was selected for comparative analysis. Therefore, nine Aneurinibacillus genomes were selected for further analysis (Table 1). The GenBank, genome, and proteome files for each of these representative strains were downloaded from the NCBI genome [41] or PATRIC [30] databases, respectively. The completeness of nine Aneurinibacillus genomes were assessed by searching for the presence of 450 core bacillales genes (bacillales_odb10 lineage) using BUSCO v4.0.6 [42].

2.2. Genome Annotation

Regions containing possible BGCs with SM-producing potential were predicted by antiSMASH v5.1.0 [43] with default parameters. Enzyme commission (EC) numbers were predicted for all CDS using DeepEC [44] tool. In contrast, putative carbohydrate-active enzymes (CAZymes) [45] were assigned with dbCAN2 meta server [46] with an e-value cut-off of ≤10–5. A BLASTP [47] based search against the BacMet v2.0 database [48] was performed to identify genes involved in antibacterial and heavy metal resistance, respectively.

2.3. Phylogenomic and Comparative Genome Analyses

Genome-based taxonomic analysis was performed by using the Type (Strain) Genome Server (TYGS) [49], and the tree visualized with MEGA X software [50]. Moreover, the pan-genome analysis was performed using the Bacterial Pan Genome Analysis (BPGA v1.3) [51] and bacterial pan-genome profile (PanGP v1.0.1) [52] tools at a threshold of 40% sequence identity.

3. Results and Discussion

3.1. General Features of Aneurinibacillus Genome

Currently, there are eight validly named Aneurinibacillus species in the LPSN [14] database. Almost all these strains have their genomes available in the databases except for A. sediminis. Moreover, the genome belonging to two additional strains namely, Aneurinibacillus sp. UBA3580 (PRJNA348753) and Aneurinibacillus sp. XH2 (PRJNA287204) are also available. Therefore, the genome sequences of these nine Aneurinibacillus species were downloaded from the NCBI genome database based on the criteria described in the “Methods” section. The number of contigs for these genomes ranged between 1 (A. soli CB4T) and 395 (A. aneurinilyticus ATCC 12856T). Among all, only the genomes of A. soli CB4T and Aneurinibacillus sp. XH2 were complete, whereas the remaining represented draft genomes. The number of contigs for these draft genomes ranged between 28 (A. migulanus DSM 2895T) and 395 (A. aneurinilyticus ATCC 12856T). The Aneurinibacillus genomes exhibited great diversity in size, with an average length of 4.56 Mb (± 1.0). A difference of about 3Mb in size was observed between the strains with the largest (A. migulanus DSM 2895T) and smallest (Aneurinibacillus sp. UBA3580) genomes. Table 1 summarizes the genomic features such as CDS, GC content, isolation source, etc., for all nine Aneurinibacillus strains analyzed in this work. BUSCO analysis of these Aneurinibacillus genomes suggests the presence of a very complete set of core genes from the order bacillales with an overall completeness ranging between 91.5 to 99.5% (Table 1). Moreover, the level of duplication, fragmentation and number of missing genes was very low (Table S1). These high genome completeness scores imply that the datasets are reliable for any subsequent analysis.

3.2. Phylogenomic Analysis

The genome sequences of all Aneurinibacillus strains were utilized as a phylogenetic marker to check the taxonomic grouping of the genus Aneurinibacillus. These strains were divided into several subgroups when the genomes of all the strains were used to generate the phylogenomic tree (Figure 1). Specifically, strains that show similar genomic properties in terms of genome size and GC content were clustered together. For example, A. aneurinilyticus ATCC 12856T and A. migulanus DSM 2895T are clustered together and have large genomes (5.30–6.35Mb). These two strains also showed the lowest average GC content of 43.07 (±0.18) compared to other Aneurinibacillus strains. The dDDH score between these two strains was <70%, clearly distinguishing them as distinct species (Table 2).
Similarly, strains with the smallest genomes namely, Aneurinibacillus sp. XH2 and A. thermoaerophilus L 420-91T were grouped on the phylogenomic tree. The dDDH score between these two species was >70%. The other two strains exhibiting such high dDDH scores of >70% between them were A. danicus NBRC 102444T and Aneurinibacillus sp. UBA3580 (Table 2). These values are very much above the 70% threshold of species delineation [53]. Additional taxonomic-based studies would elucidate the precise taxonomic association of Aneurinibacillus sp. UBA3580, and Aneurinibacillus sp. XH2 within the genus Aneurinibacillus as more genomes from this bacterial group become available.

3.3. Abundant Enzyme Classes of the Aneurinibacillus Pan-Genome

The pan-genome analysis of nine Aneurinibacillus genomes suggested that 1265 sequences were highly conserved in all strains and represented the core genome. Sequences belonging to the core genome perform indispensable basic cellular functions, including survival, and bestow the key phenotypic traits. The accessory/dispensable genome comprises 18,608 sequences and ranged between 1353 (A. terranovensis DSM 18919T) and 2850 (A. migulanus DSM 2895T) genes. Broadly, the accessory genome components are responsible for diversity within a species and may accomplish roles that are trivial for bacterial growth but might help overcome antagonistic environmental surroundings [54]. Similarly, the number of strain-specific (unique) genes was also highly variable, and on average Aneurinibacillus strains consisted of at least 845.44 (± 573.63) unique genes. Individually, the genomes of Aneurinibacillus sp. XH2 and A. tyrosinisolvens LL-002T contained 88 and 1725 unique genes, respectively. The Aneurinibacillus pan-genome exhibits the features of an “open” pan-genome [54], the size of which increases with the subsequent inclusion of new genomes (Figure 2A). As expected, the core genome displays a steady decline in size as new genomes are added. On the other hand, the number of new genes does not reach 0 with further addition of new genomes (Figure 2B). These conclusions are based on the power-law regression analysis, which illustrates an “open” pan-genome for the genus Aneurinibacillus with Bpan = 0.53. Such pan-genomes are generally observed in bacterial species from various environments with intricate lifestyles and tend towards horizontal gene transfer (HGT) [54,55]. However, it should also be noted that the open pan-genome reported in this study is based on a limited number of available Aneurinibacillus genomes. The core, accessory, and unique genome sequences are available from [56].
Besides their roles in metabolic processes, enzymes of microbial origin are widely used for different industrial processes. Therefore, to get a general overview of the types of various enzymes present in this genus, we explored the major and specific enzyme classes present in the Aneurinibacillus pan-genome and highlight their potential industrial implications.
Almost 30% of the core genome sequences were assigned to 95 various enzyme sub-classes. Among them, the top 3 represent multiple types of transferases, including enzymes that transfer alkyl or aryl groups, except methyl groups (EC:2.5.1), methyltransferases (EC:2.1.1), and nucleotidyltransferases (EC:2.7.7) (Figure 3A). Enzymes belonging to the methyltransferase (MT) family represent a diverse set of proteins that are involved in a broad range of cellular functions such as regulation of gene expression, biosynthesis, and signaling [57]. MTs such as carboxyl MTs (CMTs) methylate the hydroxyl oxygen of carboxylic acids to form a methyl ester [58]. The core genome of Aneurinibacillus contained a CMT enzyme (EC: 2.1.1.80), suggesting that this enzyme was found in each organism and may be involved in carrying out basic functions necessary for survival. However, an additional CMT enzyme was found in the species-specific genome of A. terranovensis. Recently, it has been reported that in addition to their known biological roles, MTs such as CMTs have potential applications in pharmaceuticals, biofuels, and bioplastics [58]. Overall, 20 enzyme sub-classes were specific to this core genome of Aneurinibacillus, suggesting their essential house-keeping roles (Table S2).
A significant percentage (10.47%) of the accessory genome representing 1949 sequences were assigned to 105 different enzyme sub-classes. The most abundant enzyme sub-classes of the accessory genome are shown in Figure 3B and categories specific to the accessory genome are summarized in Table S2. Among these, enzymes belonging to the group EC:3.6 are involved in the hydrolysis of acid anhydrides [59], and several sub-subclasses belonging to this group are now transferred to various classes of translocases (EC:7). Oxidoreductases (EC:1) in bacteria play an essential role in detoxifying toxic organic compounds through oxidative coupling [60]. They act on the CH-OH group of donors with NAD(+) or NADP(+) as an acceptor and can be either oxidases or dehydrogenases (EC:1.1.1). From the biotechnological point of view, many biocatalytic-based applications of oxidoreductases have long been an important objective. For example, developing diagnostic tests, improving biosensors, constructing novel systems for regeneration of indispensable coenzymes, developing bioreactors for biodegradation of pollutants, and designing oxidoreductase-based approaches for synthesis of polymers and oxyfunctionalized organic substrates [61]. One of the essential enzymes among dehydrogenases is alcohol dehydrogenases (EC:1.1.1.1), which catalyzes the interconversion between alcohols and aldehydes or ketones [62]. At least 11 representatives of EC.1.1.1.1 were found exclusively in the accessory genome. These alcohol dehydrogenases are promising candidates for biotechnological applications especially in pharmaceutical industry [62]. Enzymes belonging to sub-class EC:2.7.13 are histidine kinases (Hks), which show autophosphorylase, transphosphorylase, and dephosphorylase activities [63]. Many bacterial and fungal histidine kinases are promising drug targets [64,65,66]. Their antimicrobial, antifungal resistance, and virulence regulation makes them potential enzymes for industrial applications. The number of sequences assigned to various enzyme sub-classes ranged between 218 (A. migulanus DSM 2895) and 170 (Aneurinibacillus sp. UBA3580) in individual accessory genomes. Another enzyme of the accessory genome that was identified in only three (A. soli, A. terranovensis, and A. tyrosinisolvens) genomes was selenophosphate synthase (SPS; EC: 2.7.9.3), also known as selenide, water dikinase (Figure S1). Of these only SPS from A. soli was predicted by DeepEC, whereas the other two were identified after manual inspection of all Aneurinibacillus proteomes. The SPS enzyme catalyzes the synthesis of selenium donor selenophosphate, which is required for the biosynthesis of selenocysteine and 2-selenouridine residues in seleno-tRNA [67]. The selenocysteine is in turn integrated into proteins during translation to form selenoproteins that are essential to various cellular processes. Similarly, selenocysteine synthase (EC:2.9.1.1), an enzyme also involved in the biosynthesis of selenocysteine, was found only in the accessory genomes of A. terranovensis, and A. tyrosinisolvens [68]. Selenocysteine (the 21st amino acid) is unique among all other amino acids as it contains an indispensable dietary micronutrient (selenium). It is also the only amino acid being encoded by the codon UGA, and represents the sole amino acid synthesized on its tRNA across all the domains of life [69]. In contrast, the accessory genomes of A. migalunus, A. thermoaerophilus, and Aneurinibacillus sp. XH2 contained phosphonoacetylaldehyde phosphonohydrolase, also known as phosphonatase (EC: 3.11.1.1). Specifically, phosphonatase triggers the hydrolysis of C-P bond of phosphonoacetaldehyde into acetaldehyde and orthophosphate [70]. This is the second reaction in a two-step chemical pathway used by many bacteria to degrade the ubiquitous natural phosphonate 2-aminoethylphosphonate (AEP) into useable forms of nitrogen, carbon, and phosphorus [71]. Enzymes capable of breaking such C-P bonds are known to play an essential role in natural detoxification because many herbicides, insecticides, and flame retardants belong to this organophosphate group of compounds [72].
One of the important enzymes of the isoprenoid biosynthetic pathway known as isopentenyl-diphosphate delta-isomerase (EC:5.3.3.2; IDI) [73] was found in the accessory genomes of all Aneurinibacillus strains except A. soli. This enzyme (IDI) triggers the interconversion of isopentenyl diphosphate (IPP) and dimethylallyl diphosphate (DMAPP), a crucial step through which mevalonate enters into the isoprenoid biosynthetic pathway. Isoprenoids, also known as terpenoids, are essential components of all living organisms, and have been implicated in pharmaceutical, flavor fragrance, and biofuel industries [74].
Of the total 7609 singletons, 242 (3.18%) sequences were assigned to 57 enzyme sub-classes. This number is minimal compared to the percentage of various enzymes detected in the core and accessory genomes. Although the distribution of most abundant enzyme sub-classes was more or less similar to the accessory genome, the top-most enzyme type to be observed in the species-specific genome was EC:2.7.13 (with 37 sequences) as compared to EC:3.6.3 and EC:2.5.1 in the accessory and core genomes, respectively (Figure 3C). The other two top enzyme sub-classes in the unique genome included EC:1.1.1 and methyltransferases (EC:2.1.1), with 21 and 20 members assigned to these groups. Overall, the distribution of these 242 sequences exhibited a significant variation. For example, 62 out of 1049 unique sequences from A. terranovensis DSM 18919 were assigned to 29 enzyme sub-classes. In contrast, only two singletons (out of 88) from Aneurinibacillus sp. XH2 represented two different enzyme groups.
Overall, at least 45 sub-classes were commonly found in all the pan-genome components (i.e., core, accessory, and unique genomes). Twenty sub-classes are specific to the core genome and were not identified in other two pan-genome components. In contrast, 27 enzyme sub-classes were found to be specific for the accessory genome. A minimal number of only five sub-classes were particular to the unique genome (Figure 3D and Table S2), and included categories such as with reduced pteridine as one donor (EC:1.14.13), with dinitrogen as acceptor (EC:1.18.6), other oxidoreductases (EC:1.97.1), exoribonucleases producing 3’-phosphomonoesters (EC:3.1.4), and other intramolecular oxidoreductases (EC:5.3.99), respectively. Among these, three nitrogenases (EC:1.18.6.1) were found only in the strain-specific genome of A. terranovensis. Two of these nitrogenase genes encode alpha and beta subunits of nitrogenase molybdenum-iron protein, whereas the third encodes a nitrogenase iron protein. Three additional nitrogenases representing nitrogenase iron-molybdenum cofactor biosynthesis protein (NifE), nitrogenase iron-molybdenum cofactor biosynthesis protein (NifN), and nitrogenase cofactor biosynthesis protein (NifB) were specifically identified in the genome of A. terranovensis. However, these three enzymes were not assigned to any class by DeepEC tool. No such nitrogenase enzyme was identified in other Aneurinibacillus genomes. Microorganisms use such nitrogenases for converting atmospheric N2 to ammonia, an indispensable source of N atoms for higher organisms [75]. Similarly, a pyruvate formate-lyase]-activating enzyme (PFL-AE), also known as PFL activase (EC:1.97.1.4) was only identified in the genome of this Aneurinibacillus strain. PFL-AE is one of the first-discovered members of the “AdoMet radical” or “radical SAM” superfamily of enzymes which act on a broad array of biomolecules in many pathways [76]. Although other Aneurinibacillus strains did have radical SAM proteins in their genomes, none of these exhibited statistically significant sequence similarity with the PFL-AE from A. terranovensis.
Additionally, an oxidoreductase representing dimethylsulfide (DMS) monooxygenase (EC:1.14.13.131) was found only in the genome of A. danicus. In some bacteria DMS monooxygenase is involved in the first step of DMS degradation pathways. DMS is a volatile organosulfur compound essential for the biogeochemical cycling of sulfur and the regulation of global climate [77]. This enzyme (EC:1.14.13.131) from A. danicus exhibited ~54% sequence identity with the known DMS monooxygenease from Hyphomicrobium sulfonivorans [77]. Another oxidoreductase that was found only in the unique genome of A. tyrosinisolvens was inosose isomerase (EC:5.3.99.11), also known as 2-keto-myo-inositol isomerase (KMI isomerase), which converts 2KMI to 1-keto-d-chiro-inositol (1KDCI), a precursor for the synthesis of d-chiro-Inositol (DCI). The reduction of 1KDCI to DCI is triggered by the action of inositol 2-dehydrogenase (also found in A. tyrosinisolvens). DCI is a promising drug candidate for the treatment of type 2 diabetes and polycystic ovary syndrome [78].
Examples of nucleoside (both purine and pyrimidine) phosphorylase enzymes representing EC:2.4.2.1 and EC:2.4.2.2 were also found in the pan-genome of Aneurinibacillus strains. Recently, a new thermostable trimeric purine nucleoside phosphorylase was cloned and characterized from Aneurinibacillus migulanus AM007 [38]. Such enzymes are used as biocatalysts for the synthesis of pentose-1-phosphates and nucleoside analogues that represent an important source of many drugs including antiviral and anticancer drugs [79].

3.4. Aneurinibacillus Enzymes with Significant Industrial Implications

Recognizing their importance in a broad range of industrial applications, an attempt has been made to highlight the significance of different enzymes focusing on secondary metabolite-producing BGCs, CAZymes, and heavy metal resistance.

3.4.1. Biosynthetic Potential of Aneurinibacillus

To explore the biosynthetic potential of Aneurinibacillus strains, we used antiSMASH to further identify the potential regions that may participate in the production of biosynthetic compounds. Overall, 60 such regions with biosynthetic potential were identified in all Aneurinibacillus genomes, and their number in each strain ranged between 2 (A. terranovensis DSM 18919) and 10 (A. aneurinilyticus ATCC 12856T and A. migulanus). Moreover, no commonly occurring or core biosynthetic cluster was identified in Aneurinibacillus genomes. Of the 60 biosynthetic regions, only a limited number of 13 unique types were identified (Table 3). These numbers are minimal compared to well-known secondary metabolite producers [27,29]. They also showed limited similarity with the known BGCs, suggesting a potential for novel compounds from this genus. Among these clusters, non-ribosomal peptide synthetase (NRPS) types were the most abundant, with at least 10 such regions distributed among nine strains.
Moreover, 4 out of 10 such NRPS regions were identified in A. aneurinilyticus ATCC 12856T. One of these NRPS BGC was predicted to produce gramicidin S. Similarly, a gramicidin S BGC was also predicted in the genome of A. migulanus. Both these clusters exhibited limited similarity with the known gramicidin S BGC (MIBiG ID: BGC0000367) from Brevibacillus brevis NBRC 100599. The enzymes involved in the biosynthesis of gramicidin S from two Aneurinibacillus strains were identified only after manual inspection. Interestingly, no Type I and II PKS (Polyketide synthase) regions were detected in any genomes. However, the genome of each strain except Aneurinibacillus sp. XH2 and A. thermoaerophilus contained one Type III PKS region.
The biosynthetic regions found in Aneurinibacillus genomes also exhibited limited similarity with the known biosynthetic gene clusters (BGCs) of the MIBiG [80] database (Table S3). Only 17 regions out of 60 exhibited some similarity with the known BGCs in the MIBiG database. The percentage of similarity shared by most secondary metabolite-producing regions ranged between 8 and 50%, respectively. Region 8 with lanthipeptide encoding potential from Aneurinibacillus sp. XH2 showed a very high similarity of 90% with the geobacillin I (MIBiG id: BGC0000515) BGC from Geobacillus thermodenitrificans NG80-2T [81]. Geobacillin I is an analog of lantibiotic nisin and is used as a food preservative. Geobacillin I contains seven thioether cross-links and has a broad antimicrobial spectrum against Streptococcus dysgalactiae. Geobacillin I comprises a gene cluster having short open reading frames for the precursor peptides. Genes present in BGC of geobacillin I include geoAI, geoB, geoTI, geoC, geoR, geok, geol, geoG, geoE and geoF.
Similarly, region 18.7 (Lassopeptide) from A. migulanus exhibited 80% similarity with the paeninodin (MIBiG id: BGC0001356) biosynthetic BGC from Paenibacillus dendritiformis C454T [82]. Paeninodin is a post-translationally modified peptide (RiPP) and belongs to the class of lasso peptides, which are known for their antimicrobial and antiviral activities. They may also function as potent receptor antagonists [82,83]. Paeninodin isolated from the Paenibacillus dendritiformis C454 revealed a unique gene in its biosynthetic cluster, encoding a novel kinase with a peptide-tailoring function [84]. The paeninodin BGC of Paenibacillus dendritiformis is comprised of padeC, padeA, padeK, padeB1, padeB2, and padeD genes [84].

3.4.2. CAZymes of Aneurinibacillus

The recent reports on the possible biomass degradation capabilities of Aneurinibacillus [23,85] strains encouraged us to explore the potential CAZyme encoding genes within their genomes. About 551 CAZy genes, which ranged between 47 (Aneurinibacillus sp. XH2) and 89 (A. tyrosinisolvens), were found in Aneurinibacillus genomes. These numbers represent <2% of the proteins encoded by their genomes (Table S4). Of these 551 CAZyme encoding genes, 111 (~20% of total CAZymes) possessed a signal peptide in their amino acid sequences. Specifically, 25 lipoprotein (Sec/SPII) and 86 Sec signal peptide-containing CAZymes were found and therefore can be classified as secreted proteins (Table S5). Overall, the number of glycosyltransferases (GTs) and carbohydrate esterases (CEs) in Aneurinibacillus species were much higher than the glycoside hydrolases (GHs) (Figure 4A). These results are in contrast with bacteria belonging to Streptomycetaceae where the number of GHs is relatively higher [28]. GTs play crucial roles in oligo- and polysaccharides biosynthesis, protein glycosylation, and the formation of beneficial natural products [86]. Similarly, CEs represent diverse CAZy families that help remove O-(ester) and N-(acetyl) moieties from carbohydrates. Such enzymes have been implicated in several biological and industrial applications such as biomass degradation and drug discovery [87]. Among individual CAZy members, CE4, followed by GT4, were the two topmost abundant CAZy families identified in Aneurinibacillus genomes (Figure 4B). CE4 enzymes in bacteria are responsible for removing acetyl groups from chitin, chitosan, and chitooligosaccharides. These enzymes may also act on peptidoglycan and acetyl xylan [88,89,90]. A total of 104 different genes with CE4 domains were found in nine Aneurinibacillus genomes, of which more than 61% (64/104) possessed a signal peptide. The amino acid sequence of each of these genes exhibited notable diversity and variable sequence length. CE4 enzymes are known to have several conserved histidine (HIS) and aspartic acid (ASP) residues (Figure S2) [91]. The GT4 family, along with GT2, is one of the largest known GT families. However, GT4 members contain a GT-B fold as compared to GT-A fold of the GT2 representatives. The difference between the two folds is that in the GT-B fold, the two domains are loosely linked and face each other with the active-site lying inside the resulting cleft [86]. Overall, a limited number of unique CAZy families were observed in Aneurinibacillus genomes (Figure 4C).
Although, as expected, higher number of CAZymes were found in the accessory genome than the core and unique genomes. At least 7 (GT2, GT4, GT28, GH23, CE1, CE4, CE14) CAZy families were common among all the three pan-genome components. In contrast, both accessory and unique genomes consisted of multiple CAZy families specific to these groups (Table 4), whereas only one family (GT26) specific to the core genome was identified (Figure 4D). Members of the GT26 family also contain GT-B fold; however, as compared to family GT4, individuals of GT26 are inverting enzymes [86]. The accessory genome of A. tyrosinisolvens LL-002T contained a maximum of 44 CAZy genes, out of which 7 belonged to family CE4. In contrast, only 25 CAZy genes were identified in the accessory genome of A. soli CB4T, and out of these eight were annotated as CE4 family enzymes. CE4 family enzymes were most abundant in the accessory genomes of all the strains except in the cases of A. danicus NBRC 102444T, Aneurinibacillus sp. XH2T and A. thermoaerophilus L 420-91T. Among these three strains, the former had a higher number of GT2 enzymes, whereas the other two strains consisted of more GT4 enzymes in their accessory genomes. GT2 enzymes play roles in forming numerous β-linked polysaccharides, including cellulose, chitin, and hyaluronan [91]. The accessory genome of five (A. soli CB4T, Aneurinibacillus sp. UBA3580, Aneurinibacillus sp. XH2, A. terranovensis DSM 18919T, and A. thermoaerophilus L 420-91T) strains also contained one or two surfaces (S-) and layer homology (SLH) domains that anchor various bacterial proteins non-covalently to the cell surface [92]. In case an accessory protein contained more than one SLH domains, it was also associated with an additional domain representing carbohydrate-binding module family 54 (CBM54). Interestingly, nine SLH domains were also found in the unique genome of A. soli CB4T. However, no CBMs were linked to any of these SLH domains. Moreover, in contrast to the accessory genome, the unique genome of A. soli CB4T has the highest number of genes with CAZy domains (including the most abundant 8 SLH domains). A single SLH domain was also identified in the unique genome of strain A. tyrosinisolvens LL-002T. SLH domains have a highly conserved TRAE motif, crucial in binding nonclassical secondary cell wall polymers (SCWPs) [93]. No singleton belonging to any CAZy family was identified in the unique gnome of Aneurinibacillus sp. XH2.
Additionally, the type of most abundant CAZy family in the species-specific genomes varied considerably. For example, GT4 was most common in the unique genomes of A. danicus NBRC 102444T, A. migulanus DSM 2895T, and Aneurinibacillus sp. UBA3580; whereas GT2 was the most abundant CAZy domain in the unique genomes of A. thermoaerophilus L 420-91T and A. tyrosinisolvens LL-002T. In contrast, CE4, one of the most frequently occurring domains in the accessory genomes of several strains, was only abundant in the species-specific genome of A. terranovensis DSM 18919T.

3.4.3. Genes Involved in Heavy Metal and Antibiotic Resistance

Bacteria utilize metal accumulation or biotransformation for metal detoxification [94,95]. Most heavy metals (especially at higher concentrations) can be fatal for all living organisms and may also impact the whole ecosystem [96,97]. Many genera of the Paenibacillaceae family have been reported to show resistance towards heavy metals. For example, Paenibacillus polymyxa can be effectively used as an adsorbent to remove copper and nickel from aqueous solutions [98]. Similarly, Paneibacillus sp. RM, isolated from the roots of Tridax procumbens, has shown high resistance to copper, zinc, and arsenic [99]. Among Aneurinibacillus, strains of A. aneurinilyticus isolated from groundwater can oxidize arsenite to less toxic arsenate, and therefore have potential for the bioremediation of arsenic [24]. Arsenic exists in organic and inorganic forms and is widely distributed in the environment. Inorganic arsenic exists mainly in trivalent (AsIII) and pentavalent (AsV) forms and is considered highly toxic to human health. Among them, trivalent compounds are more harmful than pentavalent forms [100,101,102]. The prokaryotic genomes are dominated by multiple ars operons with several genes and various combinations, including their accessory plasmids and transposons. Additional genes have recently been discovered in addition to these accepted common ars gene clusters [103,104]. Our results show that the arsenic reductase enzyme (arsC) was identified in almost all Aneurinibacillus strains except A. aneurinilyticus and Aneurinibacillus sp. UBA3580. It has been reported that arsC can reduce (AsIII) into (AsV), thus converting a more toxic form of arsenic into a less toxic form [105,106]. Moreover, in E. coli, it has been shown that resistance towards arsenic is regulated through the activity of arsC [107]. There are several common pathways for arsenic resistance in prokaryotes. Under aerobic conditions, with the assistance of pstA, pstB, pstC and PhoS, As(V) enters the cell through a phosphate uptake mechanism and is then reduced by arsC to As(III) [103]. Some of these genes (pstA, pstB, pstC) were identified in all Aneurinibacillus strains. Thus we can conclude from our results that Aneurinibacillus strains have several common pathways towards arsenic resistance akin to other bacterial species. The arsM gene, accountable for organoarsenical detoxification, encodes an As(III) S-adenosylmethionine methyltransferase and was identified in A. aneurinilyticus, A. danicus, A. soli, Aneurinibacillus sp. UBA3580 and A. terranovensis. arsM genes in some microbes encode ArsM As(III) S-adenosylmethionine methyltransferases that transform As(III) into the considerably more toxic organoarsenical methylarsenite (MAs(III)) and may be responsible for animal carcinogenesis [108]. Various Aneurinibacillus strains have also shown resistance against multiple heavy metals [25]. In this work, several genes related to heavy metal resistance were identified in each of the Aneurinibacillus strains and ranged between 77 (Aneurinibacillus sp. XH2 and A. thermoaerophilus) and 145 (A. migulanus) (Figure 5). These numbers are promising and even higher in some cases as compared to some known heavy metal resistant bacteria [29]. Interestingly, the top two strains (A. aneurinilyticus and A. migulanus) with a maximum number of heavy metal resistance genes also have the most number of BGCs, again suggesting a strong correlation between these two characteristics of bacteria [29]. Among these genes, zraR/hydH (transcriptional regulatory protein), corR (sigma-54 dependent DNA-binding response regulator), and copR (transcriptional activator protein) were the most abundant heavy metal resistance genes found in all nine Aneurinibacillus genomes (Table 5 and Table S6). zraR/hydH is involved in zinc (Zn) tolerance [109] whereas the latter two have been implicated in copper (Cu) resistance [110,111]. In addition to these 3 genes, 23 additional genes were found in each of the nine genomes, making them the core set of heavy metal resistance or antibacterial biocide genes in Aneurinibacillus. These include genes for arsenic (As), chromium (Cr), iron (Fe), molybdenum (Mo), nickel (Ni), tellurium (Te), tungsten (W), and antibacterial biocides such as triclosan. However, their number varied in the genomes of each strain. Some of these genes, such as recG (ATP-dependent DNA helicase), shows resistance against multiple metals [112]. In addition to the core set of heavy metal resistance genes, the genomes of some strains contained additional genes with roles in metal resistance. For example, four terD genes were identified only in the genome of A. terranovensis. This gene encodes a tellurium resistance protein essential for tellurium resistance [113]. A single arrB, merA, and nixA gene, which are implicated in resistance against As, mercury (Hg), and Ni, respectively, were also identified only in the genome of A. terranovensis. However, other genes that exhibit resistance against these metals were found in other genomes. For example, arsenic resistant pstA/C/S genes [114,115] were identified in all the nine genomes and represented the core set of heavy metal resistance genes in Aneurinibacillus. Similarly, two genes (fbpA and fbpB) involved in the resistance against Fe and gallium (Ga) [116] were specifically detected only in the genome of A. aneurinilyticus.
An increasing number of bacterial species develop clinical resistance to antimicrobial agents, and the underlying mechanisms of their resistance are continuously investigated [116]. A family of transmembrane proteins, often referred to as drug resistance translocases, are involved in removing such antibiotics from the cells [117]. Such systems were also found in Aneurinibacillus genomes. Enoyl-[acyl-carrier-protein] reductase (NADH) enzyme encoded by the fabL gene was identified in all the nine genomes. The genomes of A. danicus, A. migulanus, and A. terranovensis contained two copies of this gene, whereas only one copy of fabL was detected in the remaining genomes. fabL catalyzes the reduction of a carbon–carbon double bond in an enoyl group covalently linked to an acyl carrier protein (ACP). This enzyme is known to show resistance against triclosan, a compound with a broad range of antibacterial and antifungal activities [118]. In contrast, two vcaM genes that encode an ABC multidrug efflux pump were identified only in the A. aneurinilyticus genome. Based on the amino acid sequence, vcaM exhibits similarity to human multidrug resistance proteins P-glycoprotein (MDR1) and lactococcal LmrA. This gene has shown resistance towards several structurally unrelated drugs, such as tetracycline, norfloxacin, and ciprofloxacin, including others [119]. Similarly, a single bicyclomycin resistance protein encoded by the BcR gene [120] was found only in the A. terranovensis genome. These data suggest that while there are a highly conserved set of metal and antibacterial-resistant genes in the genus Aneurinibacillus, some genes are uniquely present in the genomes of specific strains.

4. Conclusions

This work is the first comprehensive genome-based analyses of Aneurinibacillus, which highlighted the significance of this genus with industrial implications, especially with a focus on their bioremediation, biodegradation, and biosynthetic capabilities. In conclusion, we observe the presence of regions that may represent biosynthetic gene clusters in all the Aneurinibacillus genomes analyzed in this work. However, these regions exhibited minimal similarity with the known biosynthetic gene clusters, suggesting that the potential SMs produced by the genus Aneurinibacillus might be novel with a broad range of possible bioactivities. Several CAZymes, especially glycosyltransferases and carbohydrate esterases, which have roles in the biosynthesis and degradation of a variety of structures, were also identified. Moreover, the diverse types of genes and enzymes involved in heavy metal resistance highlighted in this study would offer initial clues to further explore the genus for its full potential in industrial applications.

Supplementary Materials

The following are available online at https://www.mdpi.com/2076-2607/9/3/499/s1, Figure S1: Multiple sequence alignment of three selenophosphate synthase (SPS) enzymes identified only in the genomes of A. soli, A. terranovensis, and A. tyrosinisolvens, respectively. Known SPS sequences from Homo sapiens, Aquifex aeolicus and E. coli are used as reference sequences. Four highly conserved magnesium binding aspartic acid (D) residues and a conserved asparagine (N) at the active site are shown within the boxes, Figure S2: Multiple sequence alignment of representative CE4 domain containing CAZymes found in the Aneurinibacillus genomes. Reference sequences of known CE4 enzymes are indicated with red circles where as highly conserved metal binding aspartic acid (D), and two histidine (H) residues are shown within the boxes, Table S1: The results of genome completeness of nine Aneurinibacillus strains based on the BUSCO search against 450 bacillales core genes (bacillales_odb10 lineage). Table S2: List of enzymes specific to each pan-genome component of the Aneurinibacillus strains. Table S3: Distribution of regions with biosynthetic potential in Aneurinibacillus, Table S4: Distribution of CAZymes and their various families in Aneurinibacillus. Values in parenthesis (column 3–8) represent different types of CAZy families, Table S5: List of all CAZy genes identified in this work. Some genes have more than one CAZy domain, Table S6: Complete list of heavy metal resistance genes found in 9 Aneurinibacillus strains.

Author Contributions

Conceptualization, A.M. and M.R.K. methodology, A.M.; formal analysis, A.M., M.R.K., N.H.H. and J.S.M.S.; investigation, M.R.K., N.H.H., J.S.M.S. and N.A.Y.A.; resources, M.R.K. and J.S.M.S.; writing—original draft preparation, A.M. and M.R.K.; writing—review and editing, A.M., M.R.K. and N.A.Y.A.; supervision, A.M.; project administration, M.R.K. and J.S.M.S; funding acquisition, M.R.K. All authors have read and agreed to the published version of the manuscript.

Funding

This project was funded by the Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah, under grant No. (DF-697-130-1441). The authors, therefore, gratefully acknowledge DSR technical and financial support.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available within the article. If required, any additional data is available on request from the authors.

Acknowledgments

The authors gratefully acknowledge DSR technical and financial support.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. De Vos, P.; Ludwig, W.; Schleifer, K.H.; Whitman, W.B. Family IV. Paenibacillaceae fam. nov. In Bergey’s Manual of Systematic Bacteriology, 2nd ed.; Springer: New York, NY, USA, 2009; Volume 3. [Google Scholar]
  2. Paenibacillaceae. Available online: https://lpsn.dsmz.de/family/paenibacillaceae (accessed on 3 December 2020).
  3. Daud, N.S.; Mohd Din, A.R.J.; Rosli, M.A.; Azam, Z.M.; Othman, N.Z.; Sarmidi, M.R. Paenibacillus polymyxa bioactive compounds for agricultural and biotechnological applications. Biocatal. Agric. Biotechnol. 2019, 18, 101092. [Google Scholar] [CrossRef]
  4. Grady, E.N.; MacDonald, J.; Liu, L.; Richman, A.; Yuan, Z.C. Current knowledge and perspectives of Paenibacillus: A review. Microb. Cell Fact. 2016, 15, 203. [Google Scholar] [CrossRef] [Green Version]
  5. Desjardine, K.; Pereira, A.; Wright, H.; Matainaho, T.; Kelly, M.; Andersen, R.J. Tauramamide, a lipopeptide antibiotic produced in culture by Brevibacillus laterosporus isolated from a marine habitat: Structure elucidation and synthesis. J. Nat. Prod. 2007, 70, 1850–1853. [Google Scholar] [CrossRef]
  6. Shida, O.; Takagi, H.; Kadowaki, K.; Komagata, K. Proposal for two new genera, Brevibacillus gen. nov. and Aneurinibacillus gen. nov. Int. J. Syst. Bacteriol. 1996, 46, 939–946. [Google Scholar] [CrossRef] [Green Version]
  7. Lee, K.; Lee, S.S. Aneurinibacillus humi sp. nov., Isolated from Soil Collected in Ukraine. Curr. Microbiol. 2016, 72, 139–144. [Google Scholar] [CrossRef]
  8. Lee, K.C.; Kim, K.K.; Eom, M.K.; Kim, J.S.; Kim, D.S.; Ko, S.H.; Lee, J.S. Aneurinibacillus soli sp. nov., isolated from mountain soil. Int. J. Syst. Evol. Microbiol. 2014, 64, 3792–3797. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  9. Goto, K.; Fujita, R.; Kato, Y.; Asahara, M.; Yokota, A. Reclassification of Brevibacillus brevis strains NCIMB 13288 and DSM 6472 (=NRRL NRS-887) as Aneurinibacillus danicus sp. nov. and Brevibacillus limnophilus sp. nov. Int. J. Syst. Evol. Microbiol. 2004, 54, 419–427. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Takagi, H.; Shida, O.; Kadowaki, K.; Komagata, K.; Udaka, S. Characterization of Bacillus brevis with descriptions of Bacillus migulanus sp. nov., Bacillus choshinensis sp. nov., Bacillus parabrevis sp. nov., and Bacillus galactophilus sp. nov. Int. J. Syst. Bacteriol. 1993, 43, 221–231. [Google Scholar] [CrossRef] [Green Version]
  11. Heyndrickx, M.; Vandemeulebroecke, K.; Scheldeman, P.; Kersters, K.; de Vos, P.; Logan, N.A.; Aziz, A.M.; Ali, N.; Berkeley, R.C. A polyphasic reassessment of the genus Paenibacillus, reclassification of Bacillus lautus (Nakamura 1984) as Paenibacillus lautus comb. nov. and of Bacillus peoriae (Montefusco et al. 1993) as Paenibacillus peoriae comb. nov., and emended descriptions of P. lautus and of P. peoriae. Int. J. Syst. Bacteriol. 1996, 46, 988–1003. [Google Scholar] [CrossRef]
  12. Tsubouchi, T.; Mori, K.; Miyamoto, N.; Fujiwara, Y.; Kawato, M.; Shimane, Y.; Usui, K.; Tokuda, M.; Uemura, M.; Tame, A.; et al. Aneurinibacillus tyrosinisolvens sp. nov., a tyrosine-dissolving bacterium isolated from organics- and methane-rich seafloor sediment. Int. J. Syst. Evol. Microbiol. 2015, 65, 1999–2005. [Google Scholar] [CrossRef] [PubMed]
  13. Allan, R.N.; Lebbe, L.; Heyrman, J.; De Vos, P.; Buchanan, C.J.; Logan, N.A. Brevibacillus levickii sp. nov. and Aneurinibacillus terranovensis sp. nov., two novel thermoacidophiles isolated from geothermal soils of northern Victoria Land, Antarctica. Int. J. Syst. Evol. Microbiol. 2005, 55, 1039–1050. [Google Scholar] [CrossRef]
  14. Parte, A.C.; Sardà Carbasse, J.; Meier-Kolthoff, J.P.; Reimer, L.C.; Göker, M. List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ. Int. J. Syst. Evol. Microbiol. 2020, 70, 5607–5612. [Google Scholar] [CrossRef] [PubMed]
  15. NCBI Taxonomy. Available online: https://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?id=55079 (accessed on 3 December 2020).
  16. Alenezi, F.N.; Rekik, I.; Chenari Bouket, A.; Luptakova, L.; Weitz, H.J.; Rateb, M.E.; Jaspars, M.; Woodward, S.; Belbahri, L. Increased Biological Activity of Aneurinibacillus migulanus Strains Correlates with the Production of New Gramicidin Secondary Metabolites. Front. Microbiol. 2017, 8, 517. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Balan, S.S.; Kumar, C.G.; Jayalakshmi, S. Aneurinifactin, a new lipopeptide biosurfactant produced by a marine Aneurinibacillus aneurinilyticus SBP-11 isolated from Gulf of Mannar: Purification, characterization and its biological evaluation. Microbiol. Res. 2017, 194, 1–9. [Google Scholar] [CrossRef]
  18. Kaur, C.; Selvakumar, G.; Ganeshamurthy, A.N. Exploring the Utility of Aneurinibacillus as a Bioinoculant for Sustainable Crop Production and Environmental Applications. In Bacilli and Agrobiotechnology: Phytostimulation and Biocontrol. Bacilli in Climate Resilient Agriculture and Bioprospecting; Islam, M., Rahman, M., Pandey, P., Boehme, M., Haesaert, G., Eds.; Springer: Berlin/Heidelberg, Germany, 2019; Volume 2. [Google Scholar]
  19. Edwards, S.G.; Seddon, B. Mode of antagonism of Brevibacillus brevis against Botrytis cinerea in vitro. J. Appl. Microbiol. 2001, 91, 652–659. [Google Scholar] [CrossRef]
  20. Belbahri, L.; Alenezi, F.N.; Luptakova, L.; Rateb, M.E.; Woodward, S. Complete Genome Sequence of Aneurinibacillus migulanus E1, a Gramicidin S- and d-Phenylalanyl-l-Propyl Diketopiperazine-Deficient Mutant. Genome Announc. 2015, 3, e01441-15. [Google Scholar] [CrossRef] [Green Version]
  21. Chauhan, A.; Balgir, P.P.; Shirkot, C.K. Characterization of Aneurinibacillus aneurinilyticus Strain CKMV1 as a Plant Growth Promoting Rhizobacteria. Int. J. Agric. Environ. Biotechnol. 2014, 7, 37–45. [Google Scholar] [CrossRef]
  22. Sedlacek, P.; Pernicova, I.; Novackova, I.; Kourilova, X.; Kalina, M.; Kovalcik, A.; Koller, M.; Nebesarova, J.; Krzyzanek, V.; Hrubanova, K.; et al. Introducing the Newly Isolated Bacterium Aneurinibacillus sp. H1 as an Auspicious Thermophilic Producer of Various Polyhydroxyalkanoates (PHA) Copolymers-2. Material Study on the Produced Copolymers. Polymers 2020, 12, 1298. [Google Scholar] [CrossRef]
  23. Asem, D.; Leo, V.V.; Passari, A.K.; Tonsing, M.V.; Joshi, J.B.; Uthandi, S.; Hashem, A.; Abd Allah, E.F.; Singh, B.P. Evaluation of gastrointestinal bacterial population for the production of holocellulose enzymes for biomass deconstruction. PLoS ONE 2017, 12, e0186355. [Google Scholar] [CrossRef] [Green Version]
  24. Dey, U.; Chatterjee, S.; Mondal, N.K. Isolation and characterization of arsenic-resistant bacteria and possible application in bioremediation. Biotechnol. Rep. 2016, 10, 1–7. [Google Scholar] [CrossRef] [Green Version]
  25. Godheja, J.; Shekhar, S.K.; Satyanarayan, G.N.V.; Singh, S.P.; Modi, D.R. Antibiotic and Heavy Metal Tolerance of Some Indigenous Bacteria Isolated From Petroleum Contaminated Soil Sediments with A Study of Their Aromatic Hydrocarbon Degradation Potential. Int. J. Curr. Microbiol. Appl. Sci. 2017, 6, 194–211. [Google Scholar] [CrossRef]
  26. Challinor, V.L.; Bode, H.B. Bioactive natural products from novel microbial sources. Ann. N. Y. Acad. Sci. 2015, 1354, 82–97. [Google Scholar] [CrossRef] [PubMed]
  27. Malik, A.; Kim, Y.R.; Jang, I.H.; Hwang, S.; Oh, D.C.; Kim, S.B. Genome-based analysis for the bioactive potential of Streptomyces yeochonensis CN732, an acidophilic filamentous soil actinobacterium. BMC Genom. 2020, 21, 118. [Google Scholar] [CrossRef] [PubMed]
  28. Malik, A.; Kim, Y.R.; Kim, S.B. Genome Mining of the Genus Streptacidiphilus for Biosynthetic and Biodegradation Potential. Genes 2020, 11, 1166. [Google Scholar] [CrossRef]
  29. Yun, B.R.; Malik, A.; Kim, S.B. Genome based characterization of Kitasatospora sp. MMS16-BH015, a multiple heavy metal resistant soil actinobacterium with high antimicrobial potential. Gene 2020, 733, 144379. [Google Scholar] [CrossRef] [PubMed]
  30. Davis, J.J.; Wattam, A.R.; Aziz, R.K.; Brettin, T.; Butler, R.; Butler, R.M.; Chlenski, P.; Conrad, N.; Dickerman, A.; Dietrich, E.M.; et al. The PATRIC Bioinformatics Resource Center: Expanding data and analysis capabilities. Nucleic Acids Res. 2020, 48, D606–D612. [Google Scholar] [CrossRef] [Green Version]
  31. Alenezi, F.N.; Weitz, H.J.; Belbahri, L.; Ben Rebah, H.; Luptakova, L.; Jaspars, M.; Woodward, S. Draft Genome Sequence of Aneurinibacillus migulanus Strain Nagano. Genome Announc. 2015, 3, e00232-15. [Google Scholar] [CrossRef] [Green Version]
  32. Alenezi, F.N.; Weitz, H.J.; Belbahri, L.; Nidhal, J.; Luptakova, L.; Jaspars, M.; Woodward, S. Draft Genome Sequence of Aneurinibacillus migulanus NCTC 7096. Genome Announc. 2015, 3, e00234-15. [Google Scholar] [CrossRef] [Green Version]
  33. Tsubouchi, T.; Nishi, S.; Maruyama, T.; Hatada, Y. Draft Genome Sequence of Aneurinibacillus tyrosinisolvens LL-002T, Which Possesses Some Pseudouridine Synthases. Genome Announc. 2015, 3, e00529-15. [Google Scholar] [CrossRef] [Green Version]
  34. Wang, J.P.; Liu, B.; Liu, G.H.; Ge, C.B.; Xiao, R.F.; Zheng, X.F.; Shi, H. High-Quality Draft Genome Sequence of Aneurinibacillus migulanus ATCC 9999T (DSM 2895), a Gramicidin S-Producing Bacterium Isolated from Garden Soil. Genome Announc. 2015, 3, e01227-15. [Google Scholar] [CrossRef] [Green Version]
  35. Xi, L.; Zhang, Z.; Qiao, N.; Zhang, Y.; Li, J.; Zhao, J.Y.; Xiao, Z. Complete genome sequence of the novel thermophilic polyhydroxyalkanoates producer Aneurinibacillus sp. XH2 isolated from Gudao oilfield in China. J. Biotechnol. 2016, 227, 54–55. [Google Scholar] [CrossRef] [PubMed]
  36. Alenezi, F.N.; Rekik, I.; Bełka, M.; Ibrahim, A.F.; Luptakova, L.; Jaspars, M.; Woodward, S.; Belbahri, L. Strain-level diversity of secondary metabolism in the biocontrol species Aneurinibacillus migulanus. Microbiol. Res. 2016, 182, 116–124. [Google Scholar] [CrossRef] [PubMed]
  37. López-Prieto, A.; Rodríguez-López, L.; Rincón-Fontán, M.; Cruz, J.M.; Moldes, A.B. Characterization of extracellular and cell bound biosurfactants produced by Aneurinibacillus aneurinilyticus isolated from commercial corn steep liquor. Microbiol. Res. 2021, 242, 126614. [Google Scholar] [CrossRef] [PubMed]
  38. Liu, G.; Cheng, T.; Chu, J.; Li, S.; He, B. Efficient Synthesis of Purine Nucleoside Analogs by a New Trimeric Purine Nucleoside Phosphorylase from Aneurinibacillus migulanus AM007. Molecules 2019, 25, 100. [Google Scholar] [CrossRef] [Green Version]
  39. Gupta, S.; Pandey, S. ACC Deaminase Producing Bacteria with Multifarious Plant Growth Promoting Traits Alleviates Salinity Stress in French Bean (Phaseolus vulgaris) Plants. Front. Microbiol. 2019, 10, 1506. [Google Scholar] [CrossRef] [PubMed]
  40. Zottig, X.; Meddeb-Mouelhi, F.; Charbonneau, D.M.; Beauregard, M. Characterization of a Novel Alkalophilic Lipase from Aneurinibacillus thermoaerophilus: Lid Heterogeneity and Assignment to Family I.5. Protein. J. 2017, 36, 478–488. [Google Scholar] [CrossRef]
  41. NCBI Genome. Available online: https://www.ncbi.nlm.nih.gov/genome (accessed on 3 December 2020).
  42. Seppey, M.; Manni, M.; Zdobnov, E.M. BUSCO: Assessing Genome Assembly and Annotation Completeness. Methods Mol. Biol. 2019, 1962, 227–245. [Google Scholar]
  43. Blin, K.; Shaw, S.; Steinke, K.; Villebro, R.; Ziemert, N.; Lee, S.Y.; Medema, M.H.; Weber, T. antiSMASH 5.0: Updates to the secondary metabolite genome mining pipeline. Nucleic Acids Res. 2019, 47, W81–W87. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Ryu, J.Y.; Kim, H.U.; Lee, S.Y. Deep learning enables high-quality and high-throughput prediction of enzyme commission numbers. Proc. Natl. Acad. Sci. USA 2019, 116, 13996–14001. [Google Scholar] [CrossRef] [Green Version]
  45. Lombard, V.; Golaconda Ramulu, H.; Drula, E.; Coutinho, P.M.; Henrissat, B. The carbohydrate-active enzymes database (CAZy) in 2013. Nucleic Acids Res. 2014, 42, D490–D495. [Google Scholar] [CrossRef] [Green Version]
  46. Zhang, H.; Yohe, T.; Huang, L.; Entwistle, S.; Wu, P.; Yang, Z.; Busk, P.K.; Xu, Y.; Yin, Y. dbCAN2: A meta server for automated carbohydrate-active enzyme annotation. Nucleic Acids Res. 2018, 46, W95–W101. [Google Scholar] [CrossRef] [Green Version]
  47. Camacho, C.; Coulouris, G.; Avagyan, V.; Ma, N.; Papadopoulos, J.; Bealer, K.; Madden, T.L. BLAST+: Architecture and applications. BMC Bioinform. 2009, 10, 421. [Google Scholar] [CrossRef] [Green Version]
  48. Pal, C.; Bengtsson-Palme, J.; Rensing, C.; Kristiansson, E.; Larsson, D.G. BacMet: Antibacterial biocide and metal resistance genes database. Nucleic Acids Res. 2014, 42, D737–D743. [Google Scholar] [CrossRef] [Green Version]
  49. Meier-Kolthoff, J.P.; Göker, M. TYGS is an automated high-throughput platform for state-of-the-art genome-based taxonomy. Nat. Commun. 2019, 10, 2182. [Google Scholar] [CrossRef]
  50. Kumar, S.; Stecher, G.; Li, M.; Knyaz, C.; Tamura, K. MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms. Mol. Biol. Evol. 2018, 35, 1547–1549. [Google Scholar] [CrossRef]
  51. Chaudhari, N.M.; Gupta, V.K.; Dutta, C. BPGA—An ultra-fast pan-genome analysis pipeline. Sci. Rep. 2016, 6, 24373. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Zhao, Y.; Jia, X.; Yang, J.; Ling, Y.; Zhang, Z.; Yu, J.; Wu, J.; Xiao, J. PanGP: A tool for quickly analyzing bacterial pan-genome profile. Bioinformatics 2014, 30, 1297–1299. [Google Scholar] [CrossRef] [Green Version]
  53. Meier-Kolthoff, J.P.; Hahnke, R.L.; Petersen, J.; Scheuner, C.; Michael, V.; Fiebig, A.; Rohde, C.; Rohde, M.; Fartmann, B.; Goodwin, L.A.; et al. Complete genome sequence of DSM 30083(T), the type strain (U5/41(T)) of Escherichia coli, and a proposal for delineating subspecies in microbial taxonomy. Stand. Genom. Sci. 2014, 9, 2. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Medini, D.; Donati, C.; Tettelin, H.; Masignani, V.; Rappuoli, R. The microbial pan-genome. Curr. Opin. Genet. Dev. 2005, 15, 589–594. [Google Scholar] [CrossRef] [PubMed]
  55. De Maayer, P.; Chan, W.Y.; Rubagotti, E.; Venter, S.N.; Toth, I.K.; Birch, P.R.; Coutinho, T.A. Analysis of the Pantoea ananatis pan-genome reveals factors underlying its ability to colonize and interact with plant, insect and vertebrate hosts. BMC Genom. 2014, 15, 404. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Figshare. Available online: https://figshare.com/articles/dataset/pangenom-fasta_zip/13673473 (accessed on 25 February 2021).
  57. Schubert, H.L.; Blumenthal, R.M.; Cheng, X. Many paths to methyltransfer: A chronicle of convergence. Trends Biochem. Sci. 2003, 28, 329–335. [Google Scholar] [CrossRef] [Green Version]
  58. Ward, L.C.; McCue, H.V.; Carnell, A.J. Carboxyl Methyltransferases: Natural Functions and Potential Applications in Industrial Biotechnology. ChemCatChem 2021, 13, 121. [Google Scholar] [CrossRef]
  59. Acton, Q.A. Acid Anhydride Hydrolases—Advances in Research and Application; ScholarlyEditions: Atlanta, GA, USA, 2012. [Google Scholar]
  60. Gianfreda, L.; Xu, F.; Bollag, J. Laccases: A useful group of oxidoreductive enzymes. Bioremediat. J. 1999, 3, 1–26. [Google Scholar] [CrossRef]
  61. Sheldon, W.M. Applications of oxidoreductases. Curr. Opin. Biotechnol. 1999, 10, 370–375. [Google Scholar]
  62. Zheng, Y.G.; Yin, H.H.; Yu, D.F.; Chen, X.; Tang, X.L.; Zhang, X.J.; Xue, Y.P.; Wang, Y.J.; Liu, Z.Q. Recent advances in biotechnological applications of alcohol dehydrogenases. Appl. Microbiol. Biotechnol. 2017, 101, 987–1001. [Google Scholar] [CrossRef]
  63. Stock, A.M.; Robinson, V.L.; Goudreau, P.N. Two-component signal transduction. Annu. Rev. Biochem. 2000, 69, 183–215. [Google Scholar] [CrossRef] [Green Version]
  64. Bem, A.E.; Velikova, N.; Pellicer, M.T.; Baarlen, P.; Marina, A.; Wells, J.M. Bacterial histidine kinases as novel antibacterial drug targets. ACS Chem. Biol. 2015, 10, 213–224. [Google Scholar] [CrossRef]
  65. Velikova, N.; Fulle, S.; Manso, A.S.; Mechkarska, M.; Finn, P.; Conlon, J.M.; Oggioni, M.R.; Wells, J.M.; Marina, A. Putative histidine kinase inhibitors with antibacterial effect against multi-drug resistant clinical isolates identified by in vitro and in silico screens. Sci. Rep. 2016, 6, 26085. [Google Scholar] [CrossRef] [Green Version]
  66. Deschenes, R.J.; Lin, H.; Ault, A.D.; Fassler, J.S. Antifungal properties and target evaluation of three putative bacterial histidine kinase inhibitors. Antimicrob. Agents Chemother. 1999, 43, 1700–1703. [Google Scholar] [CrossRef] [Green Version]
  67. Noinaj, N.; Wattanasak, R.; Lee, D.Y.; Wally, J.L.; Piszczek, G.; Chock, P.B.; Stadtman, T.C.; Buchanan, S.K. Structural insights into the catalytic mechanism of Escherichia coli selenophosphate synthetase. J. Bacteriol. 2012, 194, 499–508. [Google Scholar] [CrossRef] [Green Version]
  68. Seale, L.A. Selenocysteine β-Lyase: Biochemistry, Regulation and Physiological Role of the Selenocysteine Decomposition Enzyme. Antioxidants (Basel) 2019, 8, 357. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  69. Schmidt, R.L.; Simonović, M. Synthesis and decoding of selenocysteine and human health. Croat. Med. J. 2012, 53, 535–550. [Google Scholar] [CrossRef] [PubMed]
  70. Dumora, C.; Marche, M.; Doignon, F.; Aigle, M.; Cassaigne, A.; Crouzet, M. First characterization of the phosphonoacetaldehyde hydrolase gene of Pseudomonas aeruginosa. Gene 1997, 197, 405–412. [Google Scholar] [CrossRef]
  71. Morais, M.C.; Zhang, W.; Baker, A.S.; Zhang, G.; Dunaway-Mariano, D.; Allen, K.N. The crystal structure of bacillus cereus phosphonoacetaldehyde hydrolase: Insight into catalysis of phosphorus bond cleavage and catalytic diversification within the HAD enzyme superfamily. Biochemistry 2000, 39, 10385–10396. [Google Scholar] [CrossRef]
  72. Hilderbrand, R.L. The Role of Phosphonates in Living Systems, 1st ed.; CRC Press: Boca Raton, FL, USA, 1983. [Google Scholar]
  73. Wu, Z.; Wouters, J.; Poulter, C.D. Isopentenyl diphosphate isomerase. Mechanism-based inhibition by diene analogues of isopentenyl diphosphate and dimethylallyl diphosphate. J. Am. Chem. Soc. 2005, 127, 17433–17438. [Google Scholar] [CrossRef] [Green Version]
  74. Tetali, S.D. Terpenes and isoprenoids: A wealth of compounds for global use. Planta 2019, 249, 1–8. [Google Scholar] [CrossRef]
  75. Čorić, I.; Holland, P.L. Insight into the Iron-Molybdenum Cofactor of Nitrogenase from Synthetic Iron Complexes with Sulfur, Carbon, and Hydride Ligands. J. Am. Chem. Soc. 2016, 138, 7200–7211. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  76. Vey, J.L.; Yang, J.; Li, M.; Broderick, W.E.; Broderick, J.B.; Drennan, C.L. Structural basis for glycyl radical formation by pyruvate formate-lyase activating enzyme. Proc. Natl. Acad. Sci. USA 2008, 105, 16137–16141. [Google Scholar] [CrossRef] [Green Version]
  77. Boden, R.; Borodina, E.; Wood, A.P.; Kelly, D.P.; Murrell, J.C.; Schäfer, H. Purification and characterization of dimethylsulfide monooxygenase from Hyphomicrobium sulfonivorans. J. Bacteriol. 2011, 193, 1250–1258. [Google Scholar] [CrossRef] [Green Version]
  78. Yoshida, K.; Yamaguchi, M.; Morinaga, T.; Ikeuchi, M.; Kinehara, M.; Ashida, H. Genetic modification of Bacillus subtilis for production of D-chiro-inositol, an investigational drug candidate for treatment of type 2 diabetes and polycystic ovary syndrome. Appl. Environ. Microbiol. 2006, 72, 1310–1315. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  79. Kaspar, F.; Neubauer, P.; Kurreck, A. The Peculiar Case of the Hyper-thermostable Pyrimidine Nucleoside Phosphorylase from Thermus thermophilus. Chembiochem 2020. [Google Scholar] [CrossRef]
  80. Kautsar, S.A.; Blin, K.; Shaw, S.; Navarro-Muñoz, J.C.; Terlouw, B.R.; van der Hooft, J.J.J.; van Santen, J.A.; Tracanna, V.; Suarez Duran, H.G.; Pascal Andreu, V.; et al. MIBiG 2.0: A repository for biosynthetic gene clusters of known function. Nucleic Acids Res. 2020, 48, D454–D458. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  81. Garg, N.; Tang, W.; Goto, Y.; Nair, S.K.; van der Donk, W.A. Lantibiotics from Geobacillus thermodenitrificans. Proc. Natl. Acad. Sci. USA 2012, 109, 5241–5246. [Google Scholar] [CrossRef] [Green Version]
  82. Maksimov, M.O.; Pan, S.J.; James Link, A. Lasso peptides: Structure, function, biosynthesis, and engineering. Nat. Prod. Rep. 2012, 29, 996–1006. [Google Scholar] [CrossRef]
  83. Zhu, S.; Hegemann, J.D.; Fage, C.D.; Zimmermann, M.; Xie, X.; Linne, U.; Marahiel, M.A. Insights into the Unique Phosphorylation of the Lasso Peptide Paeninodin. J. Biol. Chem. 2016, 291, 13662–13678. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  84. Zhu, S.; Fage, C.D.; Hegemann, J.D.; Mielcarek, A.; Yan, D.; Linne, U.; Marahiel, M.A. The B1 Protein Guides the Biosynthesis of a Lasso Peptide. Sci. Rep. 2016, 6, 35604. [Google Scholar] [CrossRef] [Green Version]
  85. Ejaz, U.; Muhammad, S.; Hashmi, I.A.; Ali, F.I.; Sohail, M. Utilization of methyltrioctylammonium chloride as new ionic liquid in pretreatment of sugarcane bagasse for production of cellulase by novel thermophilic bacteria. J. Biotechnol. 2020, 317, 34–38. [Google Scholar] [CrossRef]
  86. Lairson, L.L.; Henrissat, B.; Davies, G.J.; Withers, S.G. Glycosyltransferases: Structures, functions, and mechanisms. Ann. Rev. Biochem. 2008, 77, 521–555. [Google Scholar] [CrossRef] [Green Version]
  87. Nakamura, A.M.; Nascimento, A.S.; Polikarpov, I. Structural diversity of carbohydrate esterases. Biotechnol. Res. Innov. 2017, 1, 35–51. [Google Scholar] [CrossRef]
  88. Fukushima, T.; Kitajima, T.; Sekiguchi, J. A polysaccharide deacetylase homologue, PdaA, in Bacillus subtilis acts as an N-acetylmuramic acid deacetylase in vitro. J. Bacteriol. 2005, 187, 1287–1292. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  89. Biely, P.; Côté, G.L.; Kremnický, L.; Greene, R.V.; Dupont, C.; Kluepfel, D. Substrate specificity and mode of action of acetylxylan esterase from Streptomyces lividans. FEBS Lett. 1996, 396, 257–260. [Google Scholar] [CrossRef] [Green Version]
  90. Biely, P.; Côté, G.L.; Kremnický, L.; Weisleder, D.; Greene, R.V. Substrate specificity of acetylxylan esterase from Schizophyllum commune: Mode of action on acetylated carbohydrates. Biochim. Biophys. Acta 1996, 1298, 209–222. [Google Scholar] [CrossRef]
  91. Blair, D.E.; Schüttelkopf, A.W.; MacRae, J.I.; van Aalten, D.M. Structure and metal-dependent mechanism of peptidoglycan deacetylase, a streptococcal virulence factor. Proc. Natl. Acad. Sci. USA 2005, 102, 15429–15434. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  92. Mesnage, S.; Fontaine, T.; Mignot, T.; Delepierre, M.; Mock, M.; Fouet, A. Bacterial SLH domain proteins are non-covalently anchored to the cell surface via a conserved mechanism involving wall polysaccharide pyruvylation. EMBO J. 2000, 19, 4473–4484. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  93. Janesch, B.; Messner, P.; Schäffer, C. Are the surface layer homology domains essential for cell surface display and glycosylation of the S-layer protein from Paenibacillus alvei CCM 2051T? J. Bacteriol. 2013, 195, 565–575. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  94. Gadd, G.M. Microbial control of heavy metal pollution. In Microbial Control of Environmental Pollution; Fry, J.C., Gadd, G.M., Herbert, R.A., Jones, C.W., Watson-Craik, I., Eds.; Cambridge University Press: Cambridge, UK, 1992; pp. 59–88. [Google Scholar]
  95. Gadd, G.M. Metals and microorganisms: A problem of definition. FEMS Microbiol. Lett. 1992, 100, 197–203. [Google Scholar] [CrossRef]
  96. Mohammed, A.S.; Kapri, A.; Goel, R. Heavy metal pollution: Source, impact, and remedies. In Biomanagement of Metal Contaminated Soils; Khan, M., Zaidi, A., Goel, R., Musarrat, J., Eds.; Springer: Dordrecht, The Netherlands, 2011. [Google Scholar] [CrossRef]
  97. Fernandes, C.C.; Kishi, L.T.; Lopes, E.M.; Omori, W.P.; Souza, J.A.M.; Alves, L.M.C.; Lemos, E.G.M. Bacterial communities in mining soils and surrounding areas under regeneration process in a former ore mine. Braz. J. Microbiol. 2018, 49, 489–502. [Google Scholar] [CrossRef]
  98. Colak, F.; Olgun, A.; Atar, N.; Yazıcıoglu, D. Heavy metal resistances and biosorptive behaviors of Paenibacillus polymyxa: Batch and column studies. J. Ind. Eng. Chem. 2013, 19, 863–869. [Google Scholar] [CrossRef]
  99. Govarthanan, M.; Mythili, R.; Selvankumar, T.; Kamala-Kannan, S.; Rajasekar, A.; Chang, Y.C. Bioremediation of heavy metals using an endophytic bacterium Paenibacillus sp. RM isolated from the roots of Tridax procumbens. 3 Biotech 2016, 6, 242. [Google Scholar] [CrossRef] [Green Version]
  100. Cervantes, C.; Ji, G.; Ramírez, J.L.; Silver, S. Resistance to arsenic compounds in microorganisms. FEMS Microbiol. Rev. 1994, 15, 355–367. [Google Scholar] [CrossRef]
  101. Agency for Toxic Substances and Disease Registry (ATSDR). Available online: https://www.atsdr.cdc.gov/toxprofiles/tp2.pdf (accessed on 2 February 2021).
  102. Smedley, P.L.; Kinniburgh, D.G. A Review of the Source, Behaviour and Distribution of Arsenic in Natural Waters. Appl. Geochem. 2002, 17, 517–568. [Google Scholar] [CrossRef] [Green Version]
  103. Ben Fekih, I.; Zhang, C.; Li, Y.P.; Zhao, Y.; Alwathnani, H.A.; Saquib, Q.; Rensing, C.; Cervantes, C. Distribution of Arsenic Resistance Genes in Prokaryotes. Front. Microbiol. 2018, 9, 2473. [Google Scholar] [CrossRef] [PubMed]
  104. Maizel, D.; Blum, J.S.; Ferrero, M.A.; Utturkar, S.M.; Brown, S.D.; Rosen, B.P.; Oremland, R.S. Characterization of the extremely arsenic-resistant Brevibacterium linens strain AE038-8 isolated from contaminated groundwater in Tucumán, Argentina. Int. Biodeterior. Biodegrad. 2016, 107, 147–153. [Google Scholar] [CrossRef] [Green Version]
  105. Rosen, B.P. Families of arsenic transporters. Trends Microbiol. 1999, 7, 207–212. [Google Scholar] [CrossRef]
  106. Rosen, B.P. Biochemistry of arsenic detoxification. FEBS Lett. 2002, 529, 86–92. [Google Scholar] [CrossRef] [Green Version]
  107. Kaur, S.; Kamli, M.R.; Ali, A. Diversity of arsenate reductase genes (arsC Genes) from arsenic-resistant environmental isolates of E. coli. Curr. Microbiol. 2009, 59, 288–294. [Google Scholar] [CrossRef] [PubMed]
  108. Yang, H.C.; Rosen, B.P. New mechanisms of bacterial arsenic resistance. Biomed. J. 2016, 39, 5–13. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  109. Leonhartsberger, S.; Huber, A.; Lottspeich, F.; Böck, A. The hydH/G Genes from Escherichia coli code for a zinc and lead responsive two-component regulatory system. J. Mol. Biol. 2001, 307, 93–105. [Google Scholar] [CrossRef]
  110. Hu, Y.H.; Wang, H.L.; Zhang, M.; Sun, L. Molecular analysis of the copper-responsive CopRSCD of a pathogenic Pseudomonas fluorescens strain. J. Microbiol. 2009, 47, 277–286. [Google Scholar] [CrossRef] [PubMed]
  111. Sánchez-Sutil, M.C.; Pérez, J.; Gómez-Santos, N.; Shimkets, L.J.; Moraleda-Muñoz, A.; Muñoz-Dorado, J. The Myxococcus xanthus two-component system CorSR regulates expression of a gene cluster involved in maintaining copper tolerance during growth and development. PLoS ONE 2013, 8, e68240. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  112. Miranda, A.T.; González, M.V.; González, G.; Vargas, E.; Campos-García, J.; Cervantes, C. Involvement of DNA helicases in chromate resistance by Pseudomonas aeruginosa PAO1. Mutat. Res. 2005, 578, 202–209. [Google Scholar] [CrossRef]
  113. Kormutakova, R.; Klucar, L.; Turna, J. DNA sequence analysis of the tellurite-resistance determinant from clinical strain of Escherichia coli and identification of essential genes. Biometals 2000, 13, 135–139. [Google Scholar] [CrossRef]
  114. Willsky, G.R.; Malamy, M.H. Effect of arsenate on inorganic phosphate transport in Escherichia coli. J. Bacteriol. 1980, 144, 366–374. [Google Scholar] [CrossRef] [Green Version]
  115. Surin, B.P.; Rosenberg, H.; Cox, G.B. Phosphate-specific transport system of Escherichia coli: Nucleotide sequence and gene-polypeptide relationships. J. Bacteriol. 1985, 161, 189–198. [Google Scholar] [CrossRef] [Green Version]
  116. Anderson, D.S.; Adhikari, P.; Nowalk, A.J.; Chen, C.Y.; Mietzner, T.A. The hFbpABC transporter from Haemophilus influenzae functions as a binding-protein-dependent ABC transporter with high specificity and affinity for ferric iron. J. Bacteriol. 2004, 186, 6220–6229. [Google Scholar] [CrossRef] [Green Version]
  117. Nishino, K.; Yamaguchi, A. Analysis of a complete library of putative drug transporter genes in Escherichia coli. J. Bacteriol. 2001, 183, 5803–5812. [Google Scholar] [CrossRef] [Green Version]
  118. McMurry, L.M.; Oethinger, M.; Levy, S.B. Triclosan targets lipid synthesis. Nature 1998, 394, 531–532. [Google Scholar] [CrossRef] [PubMed]
  119. Huda, N.; Lee, E.W.; Chen, J.; Morita, Y.; Kuroda, T.; Mizushima, T.; Tsuchiya, T. Molecular cloning and characterization of an ABC multidrug efflux pump, VcaM, in Non-O1 Vibrio cholerae. Antimicrob. Agents Chemother. 2003, 47, 2413–2417. [Google Scholar] [CrossRef] [Green Version]
  120. Bentley, J.; Hyatt, L.S.; Ainley, K.; Parish, J.H.; Herbert, R.B.; White, G.R. Cloning and sequence analysis of an Escherichia coli gene conferring bicyclomycin resistance. Gene 1993, 127, 117–120. [Google Scholar] [CrossRef]
Figure 1. Phylogenomic tree of all Aneurinibacillus strains used in this study. The branch lengths are scaled in terms of GBDP distance formula d5. The numbers above branches are GBDP pseudo-bootstrap support values >60% from 100 replications, with an average branch support of 81.6%. The genome of Brevibacillus brevis NCTC 2611T was used as an out-group.
Figure 1. Phylogenomic tree of all Aneurinibacillus strains used in this study. The branch lengths are scaled in terms of GBDP distance formula d5. The numbers above branches are GBDP pseudo-bootstrap support values >60% from 100 replications, with an average branch support of 81.6%. The genome of Brevibacillus brevis NCTC 2611T was used as an out-group.
Microorganisms 09 00499 g001
Figure 2. Pan-genome analysis of nine Aneurinibacillus species. (A) Core (green) vs. pan (blue) developmental plot. (B) Relationship between new genes and serial addition of sequenced genomes.
Figure 2. Pan-genome analysis of nine Aneurinibacillus species. (A) Core (green) vs. pan (blue) developmental plot. (B) Relationship between new genes and serial addition of sequenced genomes.
Microorganisms 09 00499 g002
Figure 3. Distribution of the top-most enzyme classification (EC) numbers in the Aneurinibacillus pan-genome; core (A), accessory (B), and unique (C) genomes. Venn diagram showing the number of common and pan-genome-specific EC classes (D).
Figure 3. Distribution of the top-most enzyme classification (EC) numbers in the Aneurinibacillus pan-genome; core (A), accessory (B), and unique (C) genomes. Venn diagram showing the number of common and pan-genome-specific EC classes (D).
Microorganisms 09 00499 g003
Figure 4. Distribution of various CAZymes in nine Aneurinibacillus genomes. No. of various types of CAZy genes (A) most abundant CAZy families (B) No. of unique CAZy families (C), and No. of CAZymes in pan-genome (D).
Figure 4. Distribution of various CAZymes in nine Aneurinibacillus genomes. No. of various types of CAZy genes (A) most abundant CAZy families (B) No. of unique CAZy families (C), and No. of CAZymes in pan-genome (D).
Microorganisms 09 00499 g004
Figure 5. Distribution of heavy metal resistance genes in Aneurinibacillus genomes.
Figure 5. Distribution of heavy metal resistance genes in Aneurinibacillus genomes.
Microorganisms 09 00499 g005
Table 1. Overview of the general genomic features of nine Aneurinibacillus strains analyzed in this work.
Table 1. Overview of the general genomic features of nine Aneurinibacillus strains analyzed in this work.
Genome NameBioProject AccessionNo. of ContigsGenome Size (Mb)GC ContentPatric CDSPseudogenestRNA (rRNA)No. of Accessory GenesNo. of Unique GenesGenome Completeness (%)Isolation Source
Aneurinibacillus aneurinilyticus ATCC 12856TPRJNA383133955.3043.2559418439/42781154599.1Gastrointestinal tract
Aneurinibacillus danicus NBRC 102444TPRJDB61442974.4246.67 491212330/3250574399.3NA
Aneurinibacillus migulanus DSM 2895TPRJNA291108 286.3542.94725950485/12285096999.5Soil
Aneurinibacillus soli CB4TPRJDB440114.1245.89422154169/51147998298.0NA
Aneurinibacillus sp. UBA3580PRJNA3487531373.56 47.153971NA40/NA206632691.5Topsoil
Aneurinibacillus sp. XH2PRJNA28720413.6744.86405185114/3418658898.7Oil produced water
Aneurinibacillus terranovensis DSM 18919TPRJNA1888181184.2444.9450018675/91353104998.7Geothermal soil
Aneurinibacillus thermoaerophilus L 420-91TPRJEB159261033.6644.51417615261/13190318299.1NA
Aneurinibacillus tyrosinisolvens LL-002TPRJDB38211365.6944.546607368123/31806172595.1Organics- and methane-rich seafloor sediment
NA = Not Applicable.
Table 2. Pairwise comparisons of dDDH values between nine Aneurinibacillus genomes. The values are based on three different GBDP formulas: d0 (length of all HSPs divided by total genome length); d4 (sum of all identities found in HSPs divided by overall HSP length); d6 (sum of all identities found in HSPs divided by total genome length). Genome of Brevibacillus brevis NCTC 2611T was used as an out-group.
Table 2. Pairwise comparisons of dDDH values between nine Aneurinibacillus genomes. The values are based on three different GBDP formulas: d0 (length of all HSPs divided by total genome length); d4 (sum of all identities found in HSPs divided by overall HSP length); d6 (sum of all identities found in HSPs divided by total genome length). Genome of Brevibacillus brevis NCTC 2611T was used as an out-group.
Query StrainSubject StraindDDH (d0, in %)dDDH (d4, in %)dDDH
(d6, in %)
Aneurinibacillus sp. XH2Aneurinibacillus thermoaerophilus L 420-91T9498.496.5
Aneurinibacillus danicus NBRC 102444TAneurinibacillus sp. UBA358068.595.575.3
Aneurinibacillus aneurinilyticus ATCC 12856TAneurinibacillus migulanus DSM 2895T44.935.842.3
Aneurinibacillus sp. XH2Brevibacillus brevis NCTC 2611T12.830.913.2
Aneurinibacillus danicus NBRC 102444TBrevibacillus brevis NCTC 2611T12.728.313.1
Aneurinibacillus soli CB4TBrevibacillus brevis NCTC 2611T12.927.513.3
Aneurinibacillus migulanus DSM 2895TBrevibacillus brevis NCTC 2611T12.726.413.1
Aneurinibacillus tyrosinisolvens LL-002TBrevibacillus brevis NCTC 2611T12.624.913
Aneurinibacillus danicus NBRC 102444TAneurinibacillus terranovensis DSM 18919T13.42413.7
Aneurinibacillus aneurinilyticus ATCC 12856TBrevibacillus brevis NCTC 2611T12.723.313.1
Aneurinibacillus sp. UBA3580Aneurinibacillus terranovensis DSM 18919T13.223.113.6
Aneurinibacillus thermoaerophilus L 420-91TBrevibacillus brevis NCTC 2611T12.523.112.9
Aneurinibacillus terranovensis DSM 18919TBrevibacillus brevis NCTC 2611T12.52312.9
Aneurinibacillus soli CB4TAneurinibacillus tyrosinisolvens LL-002T13.521.813.8
Aneurinibacillus danicus NBRC 102444TAneurinibacillus migulanus DSM 2895T1821.717.7
Aneurinibacillus danicus NBRC 102444TAneurinibacillus sp. XH217.221.617.1
Aneurinibacillus migulanus DSM 2895TAneurinibacillus soli CB4T13.821.514.1
Aneurinibacillus migulanus DSM 2895TAneurinibacillus sp. UBA358017.621.417.4
Aneurinibacillus aneurinilyticus ATCC 12856TAneurinibacillus danicus NBRC 102444T17.821.417.5
Aneurinibacillus aneurinilyticus ATCC 12856TAneurinibacillus sp. UBA358017.321.417.1
Aneurinibacillus sp. UBA3580Aneurinibacillus sp. XH216.521.316.4
Aneurinibacillus danicus NBRC 102444TAneurinibacillus thermoaerophilus L 420-91T16.821.216.7
Aneurinibacillus soli CB4TAneurinibacillus sp. XH214.32114.5
Aneurinibacillus sp. UBA3580Aneurinibacillus thermoaerophilus L 420-91T16.120.716.1
Aneurinibacillus sp. XH2Aneurinibacillus tyrosinisolvens LL-002T13.420.613.7
Aneurinibacillus terranovensis DSM 18919TAneurinibacillus tyrosinisolvens LL-002T13.520.413.8
Aneurinibacillus migulanus DSM 2895TAneurinibacillus sp. XH215.620.315.6
Aneurinibacillus aneurinilyticus ATCC 12856TAneurinibacillus soli CB4T14.120.214.3
Aneurinibacillus sp. XH2Aneurinibacillus terranovensis DSM 18919T13.320.113.6
Aneurinibacillus soli CB4TAneurinibacillus terranovensis DSM 18919T13.120.113.4
Aneurinibacillus aneurinilyticus ATCC 12856TAneurinibacillus sp. XH215.619.915.6
Aneurinibacillus migulanus DSM 2895TAneurinibacillus tyrosinisolvens LL-002T13.319.813.6
Aneurinibacillus migulanus DSM 2895TAneurinibacillus thermoaerophilus L 420-91T15.219.715.3
Aneurinibacillus terranovensis DSM 18919TAneurinibacillus thermoaerophilus L 420-91T13.319.513.6
Aneurinibacillus danicus NBRC 102444TAneurinibacillus tyrosinisolvens LL-002T13.619.513.9
Aneurinibacillus danicus NBRC 102444TAneurinibacillus soli CB4T14.319.414.5
Aneurinibacillus aneurinilyticus ATCC 12856TAneurinibacillus thermoaerophilus L 420-91T15.419.315.4
Aneurinibacillus migulanus DSM 2895TAneurinibacillus terranovensis DSM 18919T1319.113.4
Aneurinibacillus sp. UBA3580Aneurinibacillus tyrosinisolvens LL-002T13.518.813.8
Aneurinibacillus thermoaerophilus L 420-91TAneurinibacillus tyrosinisolvens LL-002T13.218.713.5
Aneurinibacillus aneurinilyticus ATCC 12856TAneurinibacillus tyrosinisolvens LL-002T13.518.513.8
Aneurinibacillus aneurinilyticus ATCC 12856TAneurinibacillus terranovensis DSM 18919T1318.413.4
Aneurinibacillus sp. UBA3580Brevibacillus brevis NCTC 2611T12.51812.9
Aneurinibacillus soli CB4TAneurinibacillus sp. UBA358013.91814.1
Aneurinibacillus soli CB4TAneurinibacillus thermoaerophilus L 420-91T13.917.914.1
Table 3. Distribution of different types of biosynthetic gene clusters in the genomes of various Aneurinibacillus strains.
Table 3. Distribution of different types of biosynthetic gene clusters in the genomes of various Aneurinibacillus strains.
S. No.Cluster TypeA. aneurinilyticus
ATCC 12856T
A. danicus NBRC 102444TA. migulanus DSM 2895TA. soli CB4TAneurinibacillus sp. UBA3580Aneurinibacillus sp. XH2A. terranovensis DSM 18919TA. thermoaerophilus
L 420-91T
A. tyrosinisolvens
LL-002T
Total
1.Arylpolyene0000010102
2.Bacteriocin2110110129
3.Betalactone1110010116
4.Hserlactone0000010102
5.Lanthipeptide0000010113
6.LAP/bacteriocin1100010104
7.Lassopeptide0010000001
8.NRPS40220010110
9.Phosphonate0010000001
10.Sactipeptide0000010102
11.Siderophore0110110105
12.T3PKS1111101017
13.Terpene1122100018
Total1061054828760
Table 4. Number of specific CAZy families for accessory, core and unique genomes of Aneurinibacillus. In case of multiple activities, only the first three are reported.
Table 4. Number of specific CAZy families for accessory, core and unique genomes of Aneurinibacillus. In case of multiple activities, only the first three are reported.
Pan-GenomeCAZy FamilyMain ActivityA. aneurinilyticus ATCC 12856TA. danicus
NBRC 102444T
A. migulanus DSM 2895TA. soli CB4TAneurinibacillus sp. UBA3580Aneurinibacillus sp. XH2A. terranovensis DSM 18919TA. thermoaerophilus L 420-91TA. tyrosinisolvens LL-002T
AccessoryCBM48Glycogen-binding function, Beta subunit (glycogen-binding) of AMP-activated protein kinases-1--1-1-1
CBM54Binding to xylan yeast cell wall 1--1--1--
CE7Acetyl xylan esterase Cephalosporin-C deacetylase1-1------
GH2Β-Galactosidase, β-mannosidase, β-glucuronidase11111---1
GH13α-amylase pullulanase, Cyclomaltodextrin glucanotransferase-2--2-3-2
GH25Lysozyme2-------2
GH31α-glucosidase, α-galactosidase, α-mannosidase1---1---1
GH73Lysozyme, mannosyl-glycoprotein endo-β-N acetylglucosaminidase peptidoglycan hydrolase with endo-β-N-acetylglucosaminidase specificity21--11-11
GH88d-4,5-unsaturated β-glucuronyl hydrolase-1--1----
GT1UDP-glucuronosyltransferase zeatin O-β-xylosyltransferase, Hydroxyacylsphingosine 1-β-galactosyltransferase1-------1
GT5UDP-Glc, glycogen glucosyltransferase ADP-Glc, Starch glucosyltransferase NDP-Glc, Starch glucosyltransferase-1--1-1-1
GT35Glycogen, Starch phosphorylase-1--1-1-1
GT89β-D-arabinofuranosyl-1-monophosphoryldecaprenol arabinan β-1,2-arabinofuranosyltransferase1-1------
GT94GDP-Man: GlcA-β-1,2-Man-α-1,3-Glc-β-1, 4-Glc-α-1-PP-undecaprenol β-1, 4-mannosyltransferase-----1-1-
PL17Alginate lyase, Oligoalginate lyase-1--1-1--
CoreGT26UDP-ManNAcA: β-N-acetyl mannosaminuronyltransferase, UDP-ManNAc: β-N-acetyl-mannosaminyltransferase UDP-Glc: β-1,4-glucosyltransferase1
UniqueAA7Glucooligosaccharide oxidase, Chitooligosaccharide oxidase----1----
GH8d-4,5-unsaturated β-glucuronyl hydrolase--------1
GH32Invertase, endo-inulinase, β-2,6-fructan 6 levanbiohydrolase------1--
GH94Cellobiose phosphorylase, laminaribiose phosphorylase, Cellodextrin phosphorylase------1--
GH126α-amylase---1-----
GT27Polypeptide α-N-acetylgalactosaminyl transferase-1-------
GT32α-1,6-mannosyltransferase, α-1,4-N-acetylglucosaminyltransferase, α-1,4-N-acetylgalactosaminyltransferase-1-------
GT83Undecaprenyl phosphate-α-L-Ara4N, 4-amino-4-deoxy-β-L-arabinosyltransferase, Dodecaprenyl phosphate-β-galacturonic acid, lipopolysaccharide core α-galacturonosyl transferase------1--
GT84Cyclic β-1,2-glucan synthase------1--
Table 5. Top 20 most abundant heavy metal resistance genes found in the genomes of nine Aneurinibacillus strains.
Table 5. Top 20 most abundant heavy metal resistance genes found in the genomes of nine Aneurinibacillus strains.
GeneDescriptionTypeResistanceA. aneurinilyticus ATCC 12856TA. danicus NBRC 102444TA. migulanus DSM 2895TA. soli CB4TAneurinibacillus sp. UBA3580Aneurinibacillus sp. XH2A. terranovensis DSM 18919TA. thermoaerophilus L 420-91TA. tyrosinisolvens LL-002T
zraR/hydHTranscriptional regulatory protein ZraRRegulatorZinc (Zn)21162069814814
corRSigma-54 dependent DNA-binding response regulatorRegulatorCopper (Cu)8121629812610
copRTranscriptional activator proteinRegulatorCopper (Cu)555542724
terDTellurium resistance proteinUnknownTellurium (Te)000000400
mdeAMethionine gamma-lyaseEnzymeCetrimide (CTM), Benzylkonium Chloride (BAC), Hoechst 33342, Ethidium Bromide, Rhodamine 6G, Acriflavine, Tetraphenylphosphonium (TPP), Chlorhexidine, Crystal Violet, Dequalinium, Pentamidine, Pyronin Y455452223
chtRDNA-binding response regulatorRegulatorChlorhexidine508101010
fecDFe(3+) dicitrate transport system permease proteinEnzymeNickel (Ni), Cobalt (Co)235023030
merEMercuric resistance proteinMembrane TransporterMercury (Hg)332510502
mntRManganese transport regulatorRegulatorManganese (Mn), Magnesium (Mg)000200004
ruvBATP-dependent DNA helicaseEnzymeChromium (Cr), Tellurium (Te), Selenium (Se)333333333
fecEFe(3+) dicitrate transport ATP-binding proteinMembrane TransporterNickel (Ni), Cobalt (Co)544123131
nikDNickel import ATP-binding proteinBinding proteinNickel (Ni)204200200
baeR Member of the two-component regulatory system BaeS/BaeRRegulatorZinc (Zn), Tungsten (W), Sodium Deoxycholate (SDC)213412422
cpxRResponse regulator of stress-related two-component regulatory system. RegulatorHydrogen Peroxide (H2O2), Benzylkonium Chloride (BAC), Chlorhexidine224322222
sodaMn-dependent superoxide dismutaseEnzymeSelenium (Se), Hydrogen Peroxide (H2O2)322312231
CanAconitate hydrataseEnzymeIron (Fe)222222222
arsT Arsenic (As)222222222
irlRTranscriptional activator proteinRegulatorCadmium (Cd), Zinc (Zn)200000301
lmrSLmrS is an efflux protein capable of extruding multiple and structurally unrelated antimicrobial compounds.EffluxTetraphenylphosphonium (TPP), Sodium Dodecyl Sulfate (SDS), Ethidium Bromide, Cetrimide (CTM)202000103
vcaMABC transporterBinding proteinEthidium Bromide, Rhodamine 6G, 4,6-diamidino-2-phenylindole (DAPI), Tetraphenylphosphonium (TPP), Acridine Orange200000000
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Kamli, M.R.; Alzahrani, N.A.Y.; Hajrah, N.H.; Sabir, J.S.M.; Malik, A. Genome-Driven Discovery of Enzymes with Industrial Implications from the Genus Aneurinibacillus. Microorganisms 2021, 9, 499. https://doi.org/10.3390/microorganisms9030499

AMA Style

Kamli MR, Alzahrani NAY, Hajrah NH, Sabir JSM, Malik A. Genome-Driven Discovery of Enzymes with Industrial Implications from the Genus Aneurinibacillus. Microorganisms. 2021; 9(3):499. https://doi.org/10.3390/microorganisms9030499

Chicago/Turabian Style

Kamli, Majid Rasool, Nada A. Y. Alzahrani, Nahid H. Hajrah, Jamal S. M. Sabir, and Adeel Malik. 2021. "Genome-Driven Discovery of Enzymes with Industrial Implications from the Genus Aneurinibacillus" Microorganisms 9, no. 3: 499. https://doi.org/10.3390/microorganisms9030499

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