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Article

Lactic Acid Bacteria and Bacillus subtilis as Potential Protective Cultures for Biopreservation in the Food Industry

1
Centro Nacional de Tecnología y Seguridad Alimentaria (CNTA), 31570 San Adrián, Spain
2
Fundación ARAID, 50018 Zaragoza, Spain
3
Departamento de Producción Animal y Ciencia de los Alimentos, Facultad de Veterinaria, Instituto Agroalimentario de Aragón-IA2, Universidad de Zaragoza-CITA, 50013 Zaragoza, Spain
*
Author to whom correspondence should be addressed.
Appl. Sci. 2024, 14(10), 4016; https://doi.org/10.3390/app14104016
Submission received: 15 April 2024 / Revised: 3 May 2024 / Accepted: 8 May 2024 / Published: 9 May 2024
(This article belongs to the Special Issue Natural Products and Bioactive Compounds)

Abstract

:
The use of bacteria and/or their compounds is an alternative to the use of positive-list additives that the food industry is using as a tool to meet consumer demands for more natural, long-shelf-life, and healthy products, in short, to offer clean label foods. The aim of this study is to investigate the suitability of cell-free supernatants (CFSs) from Qualified Presumption of Safety strains as bioprotective cultures. Out of an initial screening panel of about 200 isolates, strains Pediococcus acidilactici CNTA 1059, Lactiplantibacillus plantarum CNTA 600, Levilactobacillus brevis CNTA 1374, and Bacillus subtilis CNTA 517 demonstrated strong antimicrobial activity against, especially, Gram-positive bacteria. The CFSs of these four strains showed minimum inhibitory concentration values between 0.15% and 5% against Listeria monocytogenes and Lentilactobacillus parabuchneri. None of the four selected strains exhibited acquired resistance to target antibiotics, and the non-toxigenicity of all the CFSs was demonstrated. In the case of the three lactic acid bacteria, the presence of bacteriocin-like inhibitory substances was confirmed following the decline in antimicrobial activity due to treatment with proteases. Regarding B. subtilis, biosynthetic gene clusters for different bacteriocin-like substances, including protease-resistant lipoproteins, were found via whole-genome sequencing. In addition, all of the CFSs exhibited stable antimicrobial activity at a wide range of temperatures (70–121 °C) used for the pasteurization and sterilization of food products, with a loss of antimicrobial activity ranging from 3% to 28%. These results point to the possibility that CFSs from these strains could be used in the food industry as a biocontrol tool to develop new products.

1. Introduction

Consumer trends evolve along with technology and science. In this context, more and more consumers are becoming aware of the importance of a healthy and sustainable diet, which transpires to their dietary choices. The rise of “clean label” products epitomizes this trend, emphasizing attributes like additive-free formulae, short ingredient lists, transparent information, and health benefits [1,2,3]. However, all food has to be safe for consumption, necessitating measures to mitigate the presence of undesirable pathogenic micro-organisms such as Escherichia coli, Listeria monocytogenes, and Salmonella spp. [4]. Additionally, food waste is an additional challenge, particularly due to spoilage micro-organisms like Penicillium spp. and Aspergillus spp. [5]. Considering this, preservation is a fundamental step in food production processes worldwide, required to guarantee food safety and extend shelf life. On the one hand, conventional preservation technologies employed by the food industry encompass various methods, including heat treatments (such as pasteurization and sterilization), cooling techniques (like refrigeration and freezing), the reduction in water activity (such as spray-drying or freeze-drying), fermentation, and the use of chemical preservatives [6]. Nonetheless, most of these traditional approaches commonly modify both the nutritional and organoleptic properties of food products, so they are not fully aligned with current consumer preferences and trends [7].
A variety of novel preservation strategies have arisen in response to the clean-label production trend, such as the use of bioprotective bacterial cultures and their metabolites [8,9,10]. This entails the use of micro-organisms and their products (such as their cell-free supernatants, CFSs) to increase the shelf life of food through competitive exclusion or the production of antimicrobial substances [9,10]. Only microbial species included in the Qualified Presumption of Safety list (QPS) [11] can be used to produce bioprotective cultures, and bacteria should not harbor any acquired transferrable antimicrobial resistance genes to clinically relevant antimicrobials to avoid horizontal transfer to other bacteria [12]. Additionally, and in line with EFSA’s guidance on the characterization of production micro-organisms used in feed [13], there should be evidence of the non-toxigenicity of the cultures and of the stability of the intended technological effect, along with the definition of the quantity to be used at safe levels [10,14,15].
Among possible protective micro-organisms, lactic acid bacteria (LAB) stand out as a compelling choice: they boast a well-established tradition in food applications, are perceived as safe for human consumption, and exhibit a broad spectrum of antimicrobial activity [10]. The antimicrobial capacity of LAB is attributed to the synthesis of various antimicrobial compounds, such as organic acids, hydrogen peroxide, and bacteriocins [16]. Organic acids result from the fermentation of carbohydrates within the surrounding medium or matrix. This generates an adverse environment, preventing microbial proliferation and growth [17]. In aerobic conditions devoid of intracellular catalase, pseudocatalase, and peroxidase, LAB can produce hydrogen peroxide (H2O2). This compound leads to the degradation of cellular components, including membrane proteins (SH group oxidation) [16], and the infliction of DNA damage upon the targeted micro-organism [18]. Lastly, bacteriocins, which are ribosomal peptides, exhibit antimicrobial activity whose spectrum varies depending on the specific type of bacteriocin. Additionally, they have demonstrated notable thermoresistance and resilience to pH modifications [19].
In addition to LAB, interest in the genus Bacillus has grown due to its multiple biological activities, including antifungal and antimicrobial activity [20]. They are considered QPS strains [11] able to produce different compounds, including bacteriocins. These have been classified depending on their size and post-translational modification in a different classification to the bacteriocins of LAB [21]. The mechanisms of action of these bacteriocins are diverse, among which include the induction of membrane permeabilization in target micro-organisms through the release of enzymes and antimicrobial compounds, inducing alterations in the plasma membrane responsible for delineating the intracellular compartment from the extracellular environment; impeding vital cellular survival processes upon plasma membrane traversal; and intervening in the quorum sensing process associated with pathogen virulence attributed to the motility, biofilm formation, and cell reproduction [22]. Nevertheless, a substantial need for comprehensive information regarding the safety and spectrum of activity is required for its utilization [23] because their activity varies depending on the structure [20].
The main objectives of this work were (i) to select QPS-compliant species from our microbial collection that can produce cell-free supernatants (CFSs) with antimicrobial activity, (ii) to study whether the selected strains are free of acquired antibiotic resistance and are not cytotoxic, (iii) to elucidate the nature of their antimicrobial activity, and (iv) to assess their suitability for application in foods that are subjected to pasteurization or sterilization processes.

2. Materials and Methods

2.1. Selection of Potential Bacterial Strains as Protective Cultures

The CNTA (Centro Nacional de Tecnología y Seguridad Alimentaria) collection encompasses 200 bacterial strains of 24 bacterial species as potential protective cultures, including Bacillus sp. (1 species), Bifidobacterium sp. (4 species), and lactic acid bacteria (LAB) (19 species) (Table S1). All of them belong to the QPS list and their identity has been individually verified via 16S rRNA gene sequencing. Table S1 also includes the origins of isolation of each genus.
The assays of the antimicrobial activity of the protective cultures were carried out using the CFSs of the cultures, which were obtained under optimal growth conditions for each micro-organism (Table S2).
To obtain the CFSs, the cultures were centrifuged at 4347× g for 10 min at 4 °C and the supernatants were filtered with 0.22 µm filters (VWR, Radnor, PA, USA). Then, the CFSs were stored at 4 °C [24,25].

2.1.1. Antimicrobial Activity of the CFS by Agar Well Diffusion Assay

Nine micro-organisms, both pathogenic and spoiling, including different bacteria and yeasts, were selected as indicator micro-organisms (Table S3). In the case of pathogenic micro-organisms, the decision was taken based on the information collected in Rapid Alert System Feed and Food on the main pathogens responsible for food alerts in Europe in 2023 [4]. Spoilage micro-organisms were chosen among the most common micro-organisms in fresh and minimally processed foods, according to CNTA experience.
The antimicrobial activity of the potential CFSs against the indicator strains was determined by using the modified agar well diffusion assay [26]. Briefly, TSA-YE agar (0.8%) was autoclaved, poured 20 mL onto each petri dish (VWR) of 90 mm, and solidified. When the plates were ready, a concentration of 106 CFU/mL of the indicator micro-organism was evenly added and spread with a sterile Digralsky loop to form lawn growth cells. Then, wells of 7.2 mm in diameter were made in the plates using a sterile borer, and the wells were filled with 100 µL of the testing CFS (Table S1). The plates were kept for 2 h at room temperature on the bench to aid the diffusion. Finally, they were incubated in aerobic or anaerobic conditions at different temperatures for 24 or 48 h depending on the micro-organism tested. After that time, the inhibition halo was measured. Considering the criteria outlined by Lesteri et al. [27] and Imade et al. [28], the antimicrobial activity of the CFSs was classified based on the inhibition halo showed by indicator micro-organisms when exposed to each CFS. Including the diameter of the well (7.20 mm), it was deemed negative when the resulting halo was less than 9.20 mm above the diameter of the well, while a halo ranging from 9.20 to 15.0 mm was considered medium activity. If the inhibition halo ranged from 15.00 mm to 25.00 mm, it was categorized as high antimicrobial activity. A halo of more than 25.0 mm was considered as strong antimicrobial activity.

2.1.2. Minimum Inhibitory Concentration (MIC)

To further characterize the antimicrobial activity exhibited by CFS of the selected strains, and to know the dynamic interaction and the antimicrobial activity over time of each of the CFS against the indicator micro-organisms L. monocytogenes and L. parabuchneri, the time–kill curve was determined, by which the MICs were also obtained. For this purpose, a sterile 96-well flat-bottom microtiter plate (DELTALAB) with increasing concentrations under 10% of the CFSs (0%, 0.15%, 0.31%, 0.625%, 1.25%, 2.5%, and 5%) were used which were confronted to a final well concentration of 105 CFU/mL of the indicator micro-organism, either L. monocytogenes or L. parabuchneri. The plates were incubated at the optimum growth conditions of the target micro-organism and were monitored visually and using a plate reader (mod. EPOCH 2 NS, Agilent, Santa Clara, CA, USA) at a wavelength of 620 nm every 2 h. Finally, the MIC was established as the minimum concentration of CFS necessary to inhibit the growth of the target micro-organism.

2.2. In Vitro Determination of Antibiotic Resistance

The antibiotic resistance of selected isolates was determined by the modified ISO 10932/IDF 223 standard [29] for the Determination of the Minimal Inhibitory Concentration (MIC) of antibiotics applicable to bifidobacterial and non-enterococcal LAB using the microdilution method. MICs were determined for nine antibiotics: kanamycin (Acros Organics Bvba, Geel, Belgium), gentamicin, streptomycin, tetracycline, clindamycin, chloramphenicol, ampicillin, erythromycin (Merck KGaA, Darmstadt, Germany), and vancomycin (Merck KGaA). The MICs were assessed as the lowest concentration of the antibiotic that inhibited bacterial growth. Based on the MICs, strains were classified as either resistant or susceptible, adhering to the cut-off values and guidelines established by the FEEDAP [30] for LAB and by the SCAN [31] for the Bacillus strain.
The values were calculated from three independent experiments and were classified as susceptible (S) when the result was under the cut-off value or resistant (R) when the value was above the cut-off value phenotypes.

2.3. Evaluation of the Cytotoxicity of the Cell-Free Supernatant of B. subtilis CNTA 517 on Epithelial Cells

In vitro assessments of the cytotoxicity of the CFS of B. subtilis were conducted using Caco-2 and HT-29 cell lines; both were human colorectal cancer cells and were obtained from the Leibniz Institute DSMZ—German Collection of Micro-organisms and Cell Cultures GmbH (DSMZ) (Braunschweig, Germany) collection.
The cytotoxicity was determined by the MTT method (3- (4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) (Merck KGaA). The cell lines were seeded in a 96-well flat-bottom microtiter plate at varying concentrations: 5 × 103 cells/well for the Caco-2 cell line and 1.7 × 104 cells/well for the HT-29 cell line. Subsequently, they were incubated at 37 °C, 5% CO2, and 95% relative humidity for 48 h in the CO2 incubator SCA-165DRS (ASTEC Co., Ltd., Fukuoka, Japan). In the case of the Caco-2 cell line, the medium was refreshed three times per week. After 15 days of growth to allow cell differentiation into enterocytes, B. subtilis CFS was introduced at varying concentrations (5% and 20%). For the HT-29 cell line, the concentrations of 5%, 10%, and 20% of B. subtilis CFS were added after 48 h of incubation. The entire volume of cell supernatants was transferred to 96-well U-bottom microtiter plates for subsequent analysis and stored at −80 °C. Afterward, the culture medium was removed and 200 µL of phenol red-free medium (Thermo Fisher Scientific, Waltham, MA, USA) and 50 µL of MTT at a concentration of 5 mg/mL to each well were added. These plates were then placed at 37 °C, 5% CO2, and 95% relative humidity in the incubator for 3 h until the observation of thread formation under the inverted microscope ECLIPSE TS100/TS100F (Nikon MicroscopyU, Melville, NY, USA). When the established time had elapsed, the culture medium was removed to eliminate unmetabolized MTT. Finally, 150 µL/well of dimethyl sulfoxide (DMSO) (Thermo Fisher Scientific) was added and agitated at 347.76 g for 5 min to dissolve the formazan deposits produced. Then, 100 µL of the supernatant was transferred to a new 96-well flat-bottom plate (DELTALAB, Barcelona, Spain), and the optical density (OD) was measured at a wavelength of 570 nm using the plate reader HEALES, MB-580 (Shenzhen Heales Technology Development Co., Ltd., Shenzhen, China). The cytotoxicity of the CFS of the strain B. subtilis CNTA 517 was measured by the viability of the cell lines used following Equation (1):
  %   v i a b i l i t y = O D 570   s a m p l e O D 570   c o n t r o l × 100
With this percentage as a basis, statistical significance studies were conducted to ascertain whether there was a decrease in cell cytotoxicity or not.

2.4. Investigation of the Nature of the Antimicrobial Compounds

The antimicrobial activity shown by CFSs could be attributed to various compounds released by the potential protective culture bacteria. Among these, organic acids, hydrogen peroxide, and peptides are commonly the most relevant. To assess whether the antimicrobial activity of the CFSs was due to one or another compound, some assays were carried out in which the indicator micro-organisms were L. monocytogenes and L. parabuchneri.

2.4.1. Synthesis of Organic Acids and Their Contribution to Antimicrobial Activity

To ascertain the concentration of organic acids (lactic and acetic) and phenylactic acid produced by the selected strains, HPLC was employed. This allowed us to identify the strain that exhibits higher production of either acid under the specified growth. Additionally, to elucidate the influence of the acids on the antimicrobial activity, the stability of the CFSs at different pH levels was determined.

Organic Acids Concentration by HPLC

The concentrations of lactic acid and acetic acid in the samples were quantified using the e2695 high-performance liquid chromatography (HPLC) system (Waters Alliance, Framingham, MA, USA), which was equipped with an Aminex Column HPX-87H 300 × 7.8 mm (BIO RAD, Berkley, MI, USA) along with its precolumn Micro-Guard Cation H refill cartridges, 30 × 4.6 m (BIO RAD). The run time was 30 min per sample with an injected volume of 10 µL. The mobile phase used was 0.005 M H2SO4 at a flow rate of 0.6 mL per min. The retention times were 12.564 min for lactic acid and 14.783 min for acetic acid. Detection was carried out using the visible ultraviolet detector PDA 210 nm (2996) (Waters Alliance), following the internal standard method.
In the case of phenylactic acid, its concentration was specifically determined using the method outlined by Zheng et al. [32]. The HPLC system employed remained consistent with the previously mentioned e2695 system (Waters Alliance), while the chromatographic column used was CORTECS C18 2.7 micron (100 × 4.6 mm) (Waters Alliance). The retention time was 6.20–6.40 min.
Two measurements of each acid concentration were performed on the same day.

Antimicrobial Activity of the Cell-Free Supernatants at Different pHs

To indicate whether the antimicrobial activity was attributable to the presence of organic acids, the pH of the CFS samples was acidified (pH 3.50) and neutralized (pH 7.00), being lower or higher than the pKa of the different expected acids, respectively (pKa of lactic acid at 3.80; pKa of phenylacetic acid at 4.30; and pKa of acetic acid at 4.76). pH adjustments were achieved through the addition of 1 M NaOH or 1 M HCl [33,34]. The antimicrobial activity of the pH-modified CFS against the indicator micro-organisms was determined by the agar well diffusion assay described above, using the untreated CFS as a reference.
If the halo disappeared when neutralizing the CFS, it suggested that the antimicrobial activity was attributed to the organic acids produced by the bacteria. In contrast, if no significant differences were observed (p > 0.05), it indicated that the antimicrobial activity of the CFS remained consistent across different pH levels. This suggested that the antimicrobial activity primarily stemmed from the production of a compound other than organic acids [35].

2.4.2. Bacteriocin-like Substance Production by the Cell-Free Supernatants

To confirm that the antimicrobial activity of the potential protective cultures was associated with proteinaceous compounds related to bacteriocin production, the CFSs were subjected to enzymatic treatment using a mixture of two proteases: proteinase K and pepsin (Merck KGaA) [36]. These were simultaneously added; 25 µL of proteinase K was mixed with 5 mL of the CFS, while, in the case of pepsin, a 0.003 M phosphate buffer was prepared in advance, from which 1 mL was used to dissolve 1 mg of pepsin. Subsequently, 50 µL of this pepsin solution was added to 5 mL of the CFS. Finally, the mixture was incubated for 1 h at 37 °C under aerobic conditions and the antimicrobial activity of these protease-treated CFSs was determined by the agar well diffusion method (Section 2.1.1) against the indicator micro-organisms, using as reference the CFS without treatment.
If the halo disappeared after the addition of the protease mix, the production of proteinaceous nature compounds (BLIS or bacteriocin-like substances) could be confirmed. However, if the halo persisted, the nature of the compound remained undetermined. In such cases, two additional proteases were added to the CFSs at varying concentrations which included protamex (NOVOZYMES, Bagsværd, Denmark) at 0.1, 0.5, and 1 mg/mL, and pancreatin (Merck KGaA) [36] at the same concentration range. These were confronted with the indicator micro-organism using the agar well diffusion assay, and the resulting zone of inhibition was quantified. In cases where no halo was observed, signifying a lack of antimicrobial activity in the CFS, it served as evidence of the proteinaceous nature of the compound. If the halo did not disappear, more assays would be needed.

2.5. Thermal Stability of the Cell-Free Supernatants

The heat resistance of the CFSs was measured to know whether the antimicrobial activity of CFSs would be maintained if they were added to foods that would subsequently receive a pasteurization or sterilization treatment (commonly used by the food industry). These treatments were used as a reference to select the intensity (temperature and time) of the different heat treatments (from 10 to 120 min at 70, 90, 110, and 120 °C).
For low temperatures (70 °C and 90 °C), heat treatments were carried out in a thermoblock (Eppendorf, Hamburg, Germany), and, for high temperatures (110 °C and 121 °C), an oil bath (Leyro Instruments, San Sebastián de los Reyes, Spain) was used. A small portion of CFS was added in preheated liquid to ensure the initial temperature, which was measured by the temperature sensor Checktemp 1 HI98509 (HANNA instruments, Limena, Italia). After the preset intervals, the eppendorfs or vials were removed and introduced in cold water. Afterward, the indicator micro-organisms L. monocytogenes and L. parabuchneri were exposed to the treated CFSs following the agar well diffusion methodology.
Finally, taking as a reference the halo obtained by agar well diffusion assay (Section 2.1.1) of the untreated CFSs against L. monocytogenes and L. parabuchneri, a formula (Equation (2)) was applied to determine the percentage of antimicrobial activity maintained by each CFS following exposure to various combinations of temperatures and durations.
%   l o s s   a n t i m i c r o b i a l   a c t i v i t y = h a l o   d i a m e t e r   m m b e f o r e   h e a t   t r e a t m e n t h a l o   d i a m e t e r   m m a f t e r   h e a t   t r e a t m e n t h a l o   d i a m e t e r   m m b e f o r e   t r e a t m e n t × 100
Following the representation of the percentage of the retained antimicrobial activity of the CFS throughout time at each temperature, a linear regression was obtained to estimate the loss of antimicrobial activity of the CFS under commercial heat treatments applied by the food industry.

2.6. Whole-Genome Sequencing of the Strains, Identification of AMR Genes, and Identification of Biosynthetic Gene Clusters

The sequenced genome of the Bacillus subtilis CNTA 517 strain was obtained through whole-genome sequencing (WGS) using an Illumina iSeq platform (NASERTIC, Pamplona, Spain). Genomic DNA was extracted from 1 mL of fresh culture using the GenElute™ bacterial Genomic DNA kit (Merck KGaA), and tagmented with the Nextera XT DNA library prep kit. The 2 × 150-bp paired-end sequencing reads generated were pre-processed by removing adapters, short reads (<140 bp), and poor quality reads (Phred score < 28) using Trimmomatic v.0.39 [37]. After the quality of the filtered clean reads was checked with FastQC v.0.12.1 [38], de novo genome assembly was performed with Shovill v.1.1.0 [39] using the SPAdes assembler with default parameters. Quast v.5.2.0. [40] was used to evaluate the quality of the assembly. Then, 24 long contigs (>500 base pairs) were generated, with 99.24% of reads successfully mapped to the assembly.
The assembled contigs in FASTA format were screened for antimicrobial resistance genes (ARGs) using the ABRicate v. 1.0.1 tool [41] and the CARD [42,43] and ResFinder [44,45] with a minimum identify and coverage values of 80%. The assembled contigs were additionally screened for mobile genetic elements using the MobileElementFinder v.1.0.3 tool [46,47]. Finally, antiSMASH v.6.1.1. [48] was used to predict the type and location of secondary metabolite biosynthesis gene clusters within the assembled genomes.

2.7. Data Analysis and Representation

NCBI’s Taxonomy Browser [49], R [50], RStudio 2023.12.1, and the packages ggplot2 [51] and ggtree [52] were used to visualize the initial screening of all CFSs or the active ones against the selected panel of indicator micro-organisms. GraphPad PRISMA software v. 5.00 was used to represent the rest of the graphs. Statistical analyses for comparing each group of samples with the control group were performed in GraphPad using an independent-sample t-test at a significance level of 0.05. Normality was assumed for all samples. Since homogeneity of variances could not be assumed, a Brown–Forsythe ANOVA test with Dunnett’s multiple comparisons post hoc tests was applied to compare the lactic acid production of the four tested strains at a significance level of 0.05. The same test was applied to compare the acetic acid production among the LAB strains.

3. Results and Discussion

3.1. Preliminary Selection of Potential Bacterial Strains to Be Protective Cultures and Characterization of Their Antimicrobial Activity

The CFSs of 200 strains of potential protective cultures were subjected to the agar well diffusion assay against the indicator micro-organisms. Figure S1 shows the inhibition zones obtained with CFSs derived from cultures that grew normally. Approximately 60% out of all the CFSs exhibited a certain antimicrobial activity, and those strains are depicted in Figure 1. These selected CFSs were more active against Gram-positive indicator micro-organisms, particularly L. monocytogenes, Bacillus cereus, and L. parabuchneri. The observed inhibition halos ranged from 0.92 to >25 mm. Among all the strains under consideration, three representatives of LAB (Pediococcus acidilactici CNTA 1059, Lactiplantibacillus plantarum CNTA 600, and Levilactobacillus brevis CNTA 1374) and one from Bacillus sp. (Bacillus subtilis CNTA 517) were chosen due to their heightened antimicrobial activity against L. monocytogenes and L. parabuchneri, exceeding a 15 mm inhibition halo (Figure 1). These strains were isolated from an asparagus by-product (P. acidilactici CNTA 1059), homemade chorizo (L. plantarum CNTA 600 and L. brevis CNTA 1374), and an altered paint (B. subtilis CNTA 517).

3.2. Antimicrobial Activity of the CFS

The efficacy of the CFSs produced by the selected strains as a potential protective culture against various species of pathogenic and spoilage micro-organisms is shown in Figure 1 and with more detail in Table S4. In the case of the pathogenic target strains, the resulting inhibition halo for the CFS of the strain P. acidilactici CNTA 1059 against L. monocytogenes was 24.53 ± 0.21 mm, indicating robust antimicrobial activity. This observation aligns with the results obtained by Hartmann et al. [9] for their strain IDE0550 against three different L. monocytogenes strains. Similarly, the CFS of the selected strain L. plantarum CNTA 600 exhibited a strong antimicrobial effect against L. monocytogenes (15.27 ± 0.47 mm), consistent with the findings of Vataščinová et al. [53]. A medium antimicrobial activity against B. cereus (13.36 ± 0.67 mm) was observed, corroborating similar previous results by Akhtar and Syed [54]. L. brevis CNTA 1374 CFS showed no antimicrobial activity against any of the pathogenic strains. This contradicted the findings of Jang et al. [55], who reported the antimicrobial activity of the L. brevis KU15153 strain against food pathogens, including L. monocytogenes, S. aureus, Salmonella Typhimurium, and E. coli. Such discrepancies may be highlighting the variability in antimicrobial activity among different strains of the same species.
Finally, the antimicrobial activity of CFS B. subtilis CNTA 517 was strong against L. monocytogenes (28.98 ± 0.07 mm) and against S. aureus (19.36 ± 0.07 mm). Different authors have reported the strong antimicrobial activity of purified bacteriocins produced by B. subtilis against these two pathogenic micro-organisms. Wei et al. [56] documented the antimicrobial activity of subtilosin JS-4, while Taggar et al. [57] described that of peptide-Ba49. However, the reported activity of these peptides was lower than the antimicrobial activity of B. subtilis CNTA 517 described in this paper.
The strain L. monocytogenes CECT 7467 was selected as the pathogenic indicator micro-organism to be used in the next assays for the CFSs of P. acidilactici CNTA 1059, L. plantarum CNTA 600, and B. subtilis CNTA 517. In addition to its sensitivity to the CFSs of the strains tested, it is a micro-organism capable of growing in refrigeration and whose presence has accounted for 15% of foodborne illnesses according to the annual report of the RASFF of the year 2023 [4].
The antimicrobial activity of the CFSs from P. acidilactici and B. subtilis species against the selected spoilage micro-organisms could be classified as negative or null, as they did not produce any halos in the agar well diffusion assay. On the contrary, the CFS of L. plantarum CNTA 600 exhibited a medium activity against P. fluorescens (10.78 ± 0.05 mm) which aligned with the activity described by Lv et al. [58]. It also demonstrated strong activity against K. marxianus (14.14 ± 0.12 mm), for which the antimicrobial activity of different antimicrobials has not been described in the literature yet [59]. Notably, the CFS displaying the highest antimicrobial activity was the one from L. brevis CNTA 1374, producing halos of 32.20 ± 0.04 mm against the spoilage LAB L. parabuchneri, not previously described. Considering these results and its ability to produce histamine in cheese [60], L. parabuchneri CNTA 1075 was selected as the spoilage indicator micro-organism to be tested against the CFS of L. brevis CNTA 1374 in the following tests.
The MIC of the CFS of the different species was determined by the time–kill curve and was seen to be specific for each strain but within a similar range (Figure S2). The MICs of P. acidilactici CNTA 1059, L. plantarum CNTA 600, and B. subtilis CNTA 517 against L. monocytogenes were 2.5%, 5.0%, and 1.25%, respectively. In the case of L. brevis CNTA 1374, a lower MIC of 0.15% was determined against L. parabuchneri. These results align perfectly with those obtained with the agar diffusion assay, which showed L. brevis CNTA 1374 to attain the greatest inhibition halo, while L. plantarum CNTA 600 showed the weakest activity out of all the selected strains.

3.3. Antibiotic Resistance of the Selected Strains

The MIC was determined by a broth microdilution assay and the results in Table 1 indicated that, among LAB, only L. brevis CNTA 1374 demonstrated sensitivity to all antibiotics tested according to the referenced cut-off values [30]. However, it should be noted that kanamycin resistance has been described as intrinsic in pediococci and most lactobacilli species (including L. plantarum) [61,62,63]. This has been observed in numerous previous works and has been explained by the high rate of spontaneous chromosomal mutations conveying resistance to aminoglycosides, having a low potential for horizontal spread [61,64,65].
In the case of B. subtilis CNTA 517, Adimpong et al. [66] already pointed out that the cut-off antibiotic values defined by SCAN [31] more closely reflect the intrinsic resistances of B. subtilis, in contrast to those set by FEEDAP [30]. In this regard, B. subtilis CNTA 517 was deemed susceptible to all tested antibiotics. Furthermore, no mobile genetic elements were found after sequencing this strain, and all the detected antibiotic resistance genes (detailed in Table S5) are also found in the type of strain B. subtilis subsp. subtilis str. 168 (NCBI Reference Sequence NC_000964.3). These findings support the hypothesis that B. subtilis CNTA 517, like the three tested LAB strains, does not harbor any acquired antimicrobial resistance which could be transferred to other bacteria.

3.4. Evaluation of the Cytotoxicity of the Cell-Free Supernatant of B. subtilis CNTA 517 on Epithelial Cells

The effect of different concentrations of the CFS of B. subtilis CNTA 517 on Caco-2 and HT-29 (Figure S3) cell lines was determined by the MTT method. At the assayed conditions, the concentrations of the tested CFSs were found to be non-toxic. These results coincide with the research presented in the works of Brutscher et al. [67] and Chen et al. [68], affirming the non-toxigenic characteristics of this micro-organism in epithelial cells. According to these observations, the CFS of the strain B. subtilis CNTA 517 could, therefore, be considered as an ingredient for industrial use in food.

3.5. Nature of the Antimicrobial Compounds Contained in CFS

The nature of the antimicrobial compounds produced by the bacteria could be of organic origin, so the organic acid-producing capacity of the selected strains was determined. On the other hand, the change in pH of the CFS was related to the antimicrobial activity they showed, and it was possible to determine whether it was due to the production of these compounds or to the production of antimicrobial peptides.

3.5.1. The Synthesis of Organic Acids and Their Contribution to Antimicrobial Activity

In a first step, the concentration of organic acids was measured by HPLC. Lactic acid and acetic acid stand out as the two most prevalent organic acids generated by LAB [69]. Table 2 shows the concentration of the organic acids of each CFS. Concerning lactic acid, P. acidilactici CNTA 1059 exhibited the highest production yielding 8.20 ± 0.19 g/L, similar to the previously described for another P. acidilactici strain [70]. In contrast, B. subtilis CNTA 517 demonstrated the lowest lactic acid production, reaching a value of 2.70 ± 0.17 g/L, which is lower than the 3.63 g/L observed for other B. subtilis strains [71].
The maximum production of acetic acid was observed by strain L. brevis CNTA 1374 amounting up to 3.78 ± 0.07 g/L, surpassing the levels reported by some authors [72]. Notably, B. subtilis CNTA 517 did not exhibit detectable levels. Lastly, P. acidilactici CNTA 1059 demonstrated a high production capacity, yielding 119.13 ± 1.17 mg/L, which was aligned with the production described by Bustos et al. [70] of 117.7 ± 1.25 mg/L.
Secondly, the pH of the CFSs was modified to elucidate whether the measured organic acids were partially responsible for the antimicrobial activity. Table 3 shows the native pHs of the tested CFS, alongside the antimicrobial activity of the CFS of the four micro-organisms selected under pH 3.50 and 7.00. Acidifying or neutralizing the CFS of strain P. acidilactici CNTA 1059 did not affect the native antimicrobial activity (24.53 mm). This aligned with the results of Liu et al. [73] regarding the stability of the antimicrobial activity of another P. acidilactici strain. Similarly, the CFS of L. brevis CNTA 1374 also showed stable antimicrobial activity (compared to the original 32.20 mm of halo size) when its pH was modified, consistent with findings by Sreedharan et al. [74]. In contrast, a significant decrease in antimicrobial activity (from 22.35 mm of original halo size) was observed when acidifying or neutralizing the CFS of L. plantarum CNTA 600. This agrees with the results reported by Akhtar and Syed [54] for a L. plantarum strain isolated from yogurt. The CFS from B. subtilis significantly decreased its native antimicrobial activity (28.52 mm) under acidic conditions, similar to what was previously observed by Epparti et al. [75]. From these results, it could be inferred that the antimicrobial activity of CFSs is not exclusively due to the production of organic acids, and further research is needed.

3.5.2. Antimicrobial Peptide Production by the Cell-Free Supernatants

The antimicrobial activity of the CFS after a protease treatment with proteinase K and pepsin was performed by the agar well diffusion assay against L. monocytogenes and L. parabuchneri. The original antimicrobial activity achieved with the CFSs of the three tested LAB strains was absent when the CFSs were treated with proteases. This suggests that the antimicrobial activity of these three strains is likely attributed to their ability to produce bacteriocins, as observed for other strains of these species. The ability of P. acidilactici to produce bacteriocins was supported by the findings of Fugaban et al. [76] that described the production of pediocin PA-1 in both P. acidilactici and P. pentosaceus. Similarly, Wu et al. [77] substantiated the bacteriocin-producing capacity of L. plantarum RUB 1 via bacteriocin-synthesis-related genes, while Thapar et al. [78] and Sreedharan et al. [74] supported the BLIS production in L. brevis.
The protease-treated CFS of the B. subtilis strain CNTA 517 achieved an inhibition zone diameter of 26.40 ± 0.69 mm, indicating no statistically significant differences (p > 0.05) compared to the untreated CFS. A subsequent proteolytic step was conducted on the B. subtilis CFS with the enzyme pancreatin and the commercially available protease mix PROTAMEX, but no further reduction of the inhibition zone diameter was achieved. Although B. subtilis is known to produce over 20 bacteriocins with distinct functional and structural properties [79], in this case, the nature of the antimicrobial activity remained undetermined, and, therefore, the WGS of this strain was performed.

3.5.3. Antimicrobial Compounds Produced by B. subtilis Strain CNTA 517

To help elucidate the antimicrobial activity exhibited by B. subtilis CNTA 517, gene cluster mining was carried out on its WGS. Table 4 shows the result of the AntiSMASH screening.
This analysis uncovered the presence of gene clusters responsible for the synthesis of several antimicrobial compounds produced by B. subtilis: polyketides (subtilosin, bacillaene), the lipopeptide fengycin, the catechol siderophore bacillibactin, and the dipeptide bacilysin. Gene clusters with a lower similarity to known clusters involved in the biosynthesis of the lipopeptides surfactin and pelgipeptin, as well as two unidentified gene clusters coding for non-ribosomal peptides, were also annotated. With the exception of pelgipeptin, all these compounds have previously been reported to be synthesized by diverse B. subtilis strains [80]. B. subtilis’s lipopeptides have shown enhanced resistance to enzyme proteolysis and stable activity within a pH range of 4.0–12.0 but reduced activity at lower pH [81]. Considering the results obtained with the CFS of B. subtilis CNTA 517, the antimicrobial activity of this strain may be attributed, among others, to the production of surfactin and/or a pelgipeptin-like compound. On the other hand, it should be noted that B. subtilis CNTA 517 exerted a superior antimicrobial activity when compared to the rest of the tested B. subtilis strains (Figure 1). Consequently, the isolation of the pelgipeptin-like compounds and the other two putative peptides for their further characterization would be of great interest to advance the study of bioprotective agents.

3.6. Thermal Stability of the Cell-Free Supernatants

To assess the suitability of these CFSs for application in food products, different pasteurization and sterilization treatments were explored.
Examples of pasteurization treatments are 72 °C/15 s [82] for milk pasteurization or 90–95 °C for 15–30 s (High Temperature Short Time—HTST), a common treatment applied to the stabilization of citric juices [83]. Pasteurization treatments assayed at 70 and 90 °C for even 90 min did not induce a significant (p > 0.05) reduction in the antimicrobial activity of the tested CFSs. Therefore, all the CFSs of the four protective cultures could be considered suitable to be added to products subjected to any kind of pasteurization treatment during their production.
In the case of industrial sterilization treatments, three different practices were selected as examples to apply the equations obtained from the laboratory treatments: an in-container sterilization of milk at 110 °C for 20 min, 3 min botulinum cooking at 121 °C (commonly applied to canned food), and an autoclaving processing of 15 min at 121 °C (commonly applied to some materials in contact with food). Treatments at 110 and 121 °C for 90 min did result in some loss of activity, depending on both the specific treatment and the tested CFS (Table S6). For the in-container sterilization, the estimated loss of antimicrobial activity would range between 8 and 21%, maintaining 79–92% of the activity. For the botulinum cooking, it would result in a loss of activity ranging from 3% to 13%, so 87–97% of the antimicrobial activity would be retained. When the CFSs were autoclaved, the loss of activity ranged between 9 and 28% (Table 5).
These results confirmed the findings from various authors regarding the thermal stability of the CFSs (or BLIS) of the bacteria when treated at 100 °C. However, they diverged when subjected to treatments at 121 °C. Both Dhanda et al. [84] and Sidek et al. [85] reported no antimicrobial activity after the treatment at 121 °C. This contrasts with what was obtained with the CFS of P. acidilactici strain CNTA 1059. The results of the thermal stability of CFS L. plantarum CNTA 600 aligned with Zangeneh et al. [86], who described as thermostable the bacteriocin produced by a strain isolated from traditional sourdough even after treatment at 121 °C for 15 min. However, Qadi et al. [87] reported the loss of antimicrobial activity of two L. plantarum strains after treatment at 121 °C for 15 min. The thermostability of the strain L. brevis CNTA 1374 at 121 °C was not supported by Qadi et al. [87], who did not describe any antimicrobial activity after a treatment of 121 °C for 15 min of another strain of L. brevis. Lastly, Hyun et al. [88] described the thermal stability of the BLIS produced by strain B. subtilis BSC35 after a heat treatment of 121 °C for 15 min against C. perfringens, and Wei et al. [56] highlighted the stability of the activity exhibited by the bacteriocin subtilin JS-4 from B. subtilis.
As all CFSs obtained in this study seem suitable for food subjected to any kind of sterilization treatments, the choice among them will depend on the contaminating microbiota (due to their different antimicrobial spectrum), and the properties of the food itself (like pH or sensory characteristics).

4. Conclusions

Based on the in vitro tests conducted, the strains P. acidilactici CNTA 1059, L. plantarum CNTA 600, L. brevis CNTA 1374, and B. subtilis CNTA 517 seem to fulfil the necessary requirements to be used as protective cultures. These strains are properly identified to the species level, are listed in the Qualified Presumption of Safety (QPS) list, do not exhibit acquired resistance to target antibiotics, and do not display toxigenicity upon contact with human epithelial cells.
Instead of using the protective cultures, this study proposes the use of the CFS, showing their potential as biopreservatives in the food industry. The antimicrobial spectrum exhibited by the cell-free supernatants of the selected strains was primarily directed against Gram-positive bacteria, encompassing both pathogenic (L. monocytogenes) and spoilage (L. parabuchneri) micro-organisms.
The observed antimicrobial activity in all cases can be attributed to the production of bacteriocin-like inhibition substances (BLISs) (and/or lipopeptides in the specific case of B. subtilis CNTA 517). These compounds demonstrate stability across various pH levels and temperature fluctuations, making them amenable to be used in products subjected to thermal preservation treatment, even at sterilization temperatures. Nevertheless, it is essential that we note that these results solely depict the in vitro capacity, with the subsequent step involving the testing of these CFSs in diverse food matrices to extend shelf life and potentially reduce or eliminate the need for additives or intense treatments. Therefore, further research is imperative to position CFSs as a viable clean-label alternative for food companies.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/app14104016/s1, Figure S1: Depiction of the inhibition zone achieved by each tested culture-free supernatant; Figure S2: Growth over time of the selected indicator micro-organisms in presence of the CFS; Figure S3: The cytotoxic effect of Bacillus subtilis CNTA 517 cell-free supernatant (CFS); Table S1: Potential protective culture species from CNTA collection employed for the preliminary screening; Table S2: Potential protective culture micro-organisms’ growth conditions; Table S3: Pathogenic and spoilage micro-organisms chosen as indicator strains and growth conditions; Table S4: Antimicrobial activity of the cell-free supernatants (CFSs) against pathogenic and spoilage strains with a well diameter of 7.20 mm; Table S5. Antibiotic resistance genes identified in Bacillus subtilis CNTA 517; Table S6: Antimicrobial activity of the cell-free supernatants (CFSs) after a heat treatment of 110 °C and 121 °C at different times; Table S7. Lost antimicrobial activity of the cell-free supernatants (CFSs) after heat treatments at 110 and 121 °C.

Author Contributions

Conceptualization, N.G.-M., L.E., R.V. and R.P.; methodology N.G.-M., L.E., R.V. and R.P.; software, N.G.-M. and L.E.; formal analysis, N.G.-M., L.E. and R.V.; investigation, N.G.-M. and L.E.; resources, R.V. and R.P.; data curation, N.G.-M., L.E., R.V. and R.P.; writing—original draft preparation, N.G.-M., L.E., R.V. and R.P.; writing—review and editing, N.G.-M., L.E., R.V. and R.P.; supervision, L.E., R.V. and R.P.; project administration, R.V. and R.P.; funding acquisition, R.V. and R.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Gobierno de Navarra, funding allocation G20001-G2100-4701-467300: Contratación personal investigador y tecnológico, doctorados industrials—project BacBiop (0011-1408-2022-000003). This research was also funded by MCIN/AEI/10.13039/501100011033, Grant PID2021-123404NB-I00, by “ERDF A way of making Europe” and by the Government of Aragón (grant Grupo AESA).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material, and further inquiries can be directed to the corresponding authors. The raw reads were deposited in the European Nucleotide Archive (accession number of the project: PRJEB74905, sample SAMEA115490881).

Acknowledgments

The University, Innovation and Digital Transformation Department, R&D&I Service of the Government of Navarra (Spain) provided N. Garin-Murguialday with a grant to carry out this research.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of the data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Aschemann-Witzel, J.; Varela, P.; Peschel, A.O. Consumers’ categorization of food ingredients: Do consumers perceive them as ‘clean label’ producers expect? An exploration with projective mapping. Food Qual. Prefer. 2019, 71, 117–128. [Google Scholar] [CrossRef]
  2. Asioli, D.; Aschemann-Witzel, J.; Caputo, V.; Vecchio, R.; Annunziata, A.; Næs, T.; Varela, P. Making sense of the “clean label” trends: A review of consumer food choice behavior and discussion of industry implications. Food Res. Int. 2017, 99, 58–71. [Google Scholar] [CrossRef] [PubMed]
  3. Cegiełka, A. “Clean label” as one of the leading trends ins the meat industry in the world and in Poland—A review. Rocz. Panstw. Zakl. Hig. 2020, 71, 43–55. [Google Scholar] [CrossRef] [PubMed]
  4. Elika. Informe RASFF Alimentos Alertas y Notificaciones. Available online: https://alimentos.elika.eus/wp-content/uploads/sites/2/2024/02/resumen-anual-_rasff-alimentos_2023.pdf (accessed on 13 April 2024).
  5. Strack, L.; Carli, R.C.; da Silva, R.V.; Sartor, K.B.; Colla, L.M.; Reinehr, C.O. Food biopreservation using antimicrobials produced by lactic acid bacteria. Res., Soc. Dev. 2020, 9, e998986666. [Google Scholar] [CrossRef]
  6. Sridhar, A.; Ponnuchamy, M.; Kumar, P.S.; Kapoor, A. Food preservation techniques and nanotechnology for increased shelf life of fruits, vegetables, beverages and spices: A review. Environ. Chem. Lett. 2021, 19, 1715–1735. [Google Scholar] [CrossRef] [PubMed]
  7. Delgado-Pando, G.; Ekonomou, S.I.; Stratakos, A.C.; Pintado, T. Clean label alternatives in meat products. Foods 2021, 10, 1615. [Google Scholar] [CrossRef]
  8. Barcenilla, C.; Puente, A.; Cobo-Díaz, J.F.; Alexa, E.-A.; Garcia-Gutierrez, E.; O’connor, P.M.; Cotter, P.D.; González-Raurich, M.; López, M.; Prieto, M.; et al. Selection of lactic acid bacteria as biopreservation agents and optimization of their mode of application for the control of Listeria monocytogenes in ready-to-eat cooked meat products. Int. J. Food Microbiol. 2023, 403, 110341. [Google Scholar] [CrossRef] [PubMed]
  9. Hartmann, H.A.; Wilke, T.; Erdmann, R. Efficacy of bacteriocin-containing cell-free culture supernatants from lactic acid bacteria to control Listeria monocytogenes in food. Int. J. Food Microbiol. 2011, 146, 192–199. [Google Scholar] [CrossRef]
  10. Souza, L.V.; Martins, E.; Moreira, I.M.F.B.; de Carvalho, A.F. Strategies for the development of bioprotective cultures in food preservation. Int. J. Food Microbiol. 2022, 2022, 6264170. [Google Scholar] [CrossRef]
  11. EFSA BIOHAZ Panel. Updated List of QPS-Recommended Microorganisms for Safety Risk Assessments Carried Out by EFSA. 2024. Available online: https://zenodo.org/records/10534041 (accessed on 25 April 2024).
  12. EFSA Panel on Biological Hazards. Statement on how to interpret the QPS qualification on ‘acquired antimicrobial resistance genes’. EFSA J. 2023, 21, e08323. [Google Scholar] [CrossRef]
  13. EFSA Panel on Additives. Guidance on the characterisation of microorganisms used as feed additives or as production organisms. EFSA J. 2018, 16, e05206. [Google Scholar] [CrossRef] [PubMed]
  14. Fischer, S.W.; Titgemeyer, F. Protective cultures in food products: From science to market. Foods 2023, 12, 1541. [Google Scholar] [CrossRef] [PubMed]
  15. European Food Safety Authority. Opinion of the Scientific Committee on a request from EFSA related to a generic approach to the safety assessment by EFSA of microorganisms used in food/feed and the production of food/feed additives. EFSA J. 2005, 3, 226. [Google Scholar] [CrossRef]
  16. Ibrahim, S.A.; Ayivi, R.D.; Zimmerman, T.; Siddiqui, S.A.; Altemimi, A.B.; Fidan, H.; Esatbeyoglu, T.; Bakhshayesh, R.V. Lactic acid bacteria as antimicrobial agents: Food safety and microbial food spoilage prevention. Foods 2021, 10, 3131. [Google Scholar] [CrossRef] [PubMed]
  17. Bangar, S.P.; Suri, S.; Trif, M.; Ozogul, F. Organic acids production from lactic acid bacteria: A preservation approach. Food Biosci. 2022, 46, 101615. [Google Scholar] [CrossRef]
  18. Zhang, C.; Zhang, S.; Liu, W.; Guo, T.; Gu, R.; Kong, J. Potential application and bactericidal mechanism of lactic acid–hydrogen peroxide consortium. Appl. Biochem. Biotechnol. 2019, 189, 822–833. [Google Scholar] [CrossRef] [PubMed]
  19. O’Connor, P.M.; Kuniyoshi, T.M.; Oliveira, R.P.; Hill, C.; Ross, R.P.; Cotter, P.D. Antimicrobials for food and feed; a bacteriocin perspective. Curr. Opin. Biotechnol. 2020, 61, 160–167. [Google Scholar] [CrossRef] [PubMed]
  20. Kourmentza, K.; Gromada, X.; Michael, N.; Degraeve, C.; Vanier, G.; Ravallec, R.; Coutte, F.; Karatzas, K.A.; Jauregi, P. Antimicrobial activity of lipopeptide biosurfactants against foodborne pathogen and food spoilage microorganisms and their cytotoxicity. Front. Microbiol. 2021, 11, 561060. [Google Scholar] [CrossRef]
  21. Mercado, V.; Olmos, J. Bacteriocin production by Bacillus Species: Isolation, characterization, and application. Probiotics Antimicrob. Proteins 2022, 14, 1151–1169. [Google Scholar] [CrossRef]
  22. Tran, C.; Cock, I.E.; Chen, X.; Feng, Y. Antimicrobial Bacillus: Metabolites and Their Mode of Action. Antibiotics 2022, 11, 88. [Google Scholar] [CrossRef]
  23. To, H.T.A.; Chhetri, V.; Settachaimongkon, S.; Prakitchaiwattana, C. Stress tolerance-Bacillus with a wide spectrum bacteriocin as an alternative approach for food bio-protective culture production. Food Control 2022, 133, 108598. [Google Scholar] [CrossRef]
  24. Iseppi, R.; Camellini, S.; Sabia, C.; Messi, P. Combined antimicrobial use of essential oils and bacteriocin bacLP17 as seafood biopreservative to control Listeria monocytogenes both in planktonic and in sessile forms. Res. Microbiol. 2020, 171, 351–356. [Google Scholar] [CrossRef] [PubMed]
  25. Ivanovic, M.; Mirkovic, N.; Mirkovic, M.; Miocinovic, J.; Radulovic, A.; Knudsen, T.S.; Radulovic, Z. Autochthonous Enterococcus durans pfmi565 and Lactococcus lactis subsp. Lactis bgbu1–4 in bio-control of Listeria monocytogenes in ultrafiltered cheese. Foods 2021, 10, 1448. [Google Scholar] [CrossRef] [PubMed]
  26. Fredua-Agyeman, M.; Gaisford, S. Assessing inhibitory activity of probiotic culture supernatants against Pseudomonas aeruginosa: A comparative methodology between agar diffusion, broth culture and microcalorimetry. World J. Microb. Biot. 2019, 35, 49. [Google Scholar] [CrossRef] [PubMed]
  27. Lestari, S.D.; Sadiq AL, O.; Safitri, W.A.; Dewi, S.S.; Prastiyanto, M.E. The antibacterial activities of bacteriocin Pediococcus acidilactici of breast milk isolate to against methicillin-resistant Staphylococcus aureus. J. Phys. Conf. Ser. 2019, 1374, 012021. [Google Scholar] [CrossRef]
  28. Imade, E.E.; Omonigho, S.E.; Babalola, O.O.; Enagbonma, B.J. Lactic acid bacterial bacteriocins and their bioactive properties against food-associated antibiotic-resistant bacteria. Ann. Microbiol. 2021, 71, 44. [Google Scholar] [CrossRef]
  29. ISO 10932:2010; Milk and Milk Products: Determination of the Minimal Inhibitory Concentration (MIC) of Antibiotics Applicable to Bifidobacteria and Non-enterococcal Lactic Acid Bacteria. 10932/IDF 223 Standard. International Organization for Standardization: Geneva, Switzerland, 2010.
  30. EFSA Panel on Additives and Products or Substances Used in Animal Feed (FEEDAP). Guidance on the assessment of bacterial susceptibility to antimicrobials of human and veterinary importance. EFSA J. 2012, 10, 2740. [Google Scholar] [CrossRef]
  31. European Comission Health and Consumer Protection Directorate-General. Opinion of the Scientific Committee on Animal Nutrition on the Criteria for Assessing the Safety of Microorganisms Resistant to Antibiotics of Human and Veterinary Importance. 2003. Available online: https://ec.europa.eu/food/fs/sc/scan/out108_en.pdf (accessed on 12 April 2024).
  32. Zheng, Z.; Ma, C.; Gao, C.; Li, F.; Qin, J.; Zhang, H.; Wang, K.; Xu, P. Efficient conversion of phenylpyruvic acid to phenyllactic acid by using whole cells of Bacillus coagulans SDM. PLoS ONE 2011, 6, e19030. [Google Scholar] [CrossRef]
  33. Lin, T.-H.; Pan, T.-M. Characterization of an antimicrobial substance produced by Lactobacillus plantarum NTU 102. J. Microbiol. Immunol. Infect. 2019, 52, 409–417. [Google Scholar] [CrossRef]
  34. Selvam, D.; Thangarasu, A.; Shyu, D.J.H.; Neelamegam, R.; Muthukalingan, K.; Nagarajan, K. Antimicrobial substance produced by Pseudomonas aeruginosa isolated from slaughterhouse sediment: Physicochemical characterization, purification, and identification. Int. J. Pept. Res. Ther. 2021, 27, 887–897. [Google Scholar] [CrossRef]
  35. Arrioja-Bretón, D.; Mani-López, E.; Palou, E.; López-Malo, A. Antimicrobial activity and storage stability of cell-free supernatants from lactic acid bacteria and their applications with fresh beef. Food Control 2020, 115, 107286. [Google Scholar] [CrossRef]
  36. Darbandi, A.; Asadi, A.; Ari, M.M.; Ohadi, E.; Talebi, M.; Zadeh, M.H.; Emamie, A.D.; Ghanavati, R.; Kakanj, M. Bacteriocins: Properties and potential use as antimicrobials. J. Clin. Lab. Anal. 2022, 36, e24093. [Google Scholar] [CrossRef] [PubMed]
  37. Bolger, A.M.; Lohse, M.; Usadel, B. Trimmomatic: A flexible trimmer for Illumina sequence data. Bioinformatics 2014, 30, 2114–2120. [Google Scholar] [CrossRef] [PubMed]
  38. Andrews, S. FastQC: A Quality Control Tool for High Throughput Sequence Data. 2010. Available online: https://www.bioinformatics.babraham.ac.uk/projects/fastqc/ (accessed on 12 March 2024).
  39. Seemann, T. Shovill: Faster SPAdes Assembly of Illumina Reads. 2017. Available online: https://github.com/tseemann/shovill (accessed on 10 March 2024).
  40. Mikheenko, A.; Prjibelski, A.; Saveliev, V.; Antipov, D.; Gurevich, A. Versatile genome assembly evaluation with QUAST-LG. Bioinformatics 2018, 34, i142–i150. [Google Scholar] [CrossRef] [PubMed]
  41. Seemann, T. ABRicate: Mass Screening of Contigs for Antibiotic Resistance Genes. 2016. Available online: https://github.com/tseemann/abricate (accessed on 11 March 2024).
  42. Alcock, B.P.; Huynh, W.; Chalil, R.; Smith, K.W.; Raphenya, A.R.; A Wlodarski, M.; Edalatmand, A.; Petkau, A.; A Syed, S.; Tsang, K.K.; et al. CARD 2023: Expanded curation, support for machine learning, and resistome prediction at the comprehensive antibiotic resistance database. Nucleic Acids Res. 2023, 51, D690–D699. [Google Scholar] [CrossRef] [PubMed]
  43. Jia, B.; Raphenya, A.R.; Alcock, B.; Waglechner, N.; Guo, P.; Tsang, K.K.; Lago, B.A.; Dave, B.M.; Pereira, S.; Sharma, A.N.; et al. CARD 2017: Expansion and model-centric curation of the comprehensive antibiotic resistance database. Nucleic Acids Res. 2016, 45, D566–D573. [Google Scholar] [CrossRef] [PubMed]
  44. Florensa, A.F.; Kaas, R.S.; Clausen, P.T.L.C.; Aytan-Aktug, D.; Aarestrup, F.M. ResFinder—An open online resource for identification of antimicrobial resistance genes in next-generation sequencing data and prediction of phenotypes from genotypes. Microb. Genom. 2022, 8, 000748. [Google Scholar] [CrossRef] [PubMed]
  45. Zankari, E.; Hasman, H.; Cosentino, S.; Vestergaard, M.; Rasmussen, S.; Lund, O.; Aarestrup, F.M.; Larsen, M.V. Identification of acquired antimicrobial resistance genes. J. Antimicrob. Chemother. 2012, 67, 2640–2644. [Google Scholar] [CrossRef] [PubMed]
  46. Carattoli, A.; Hasman, H. PlasmidFinder and in silico pMLST: Identification and yyping of plasmid replicons in whole-genome sequencing (WGS). Methods Mol. Biol. 2020, 2075, 285–294. [Google Scholar] [CrossRef]
  47. Johansson, M.H.K.; Bortolaia, V.; Tansirichaiya, S.; Aarestrup, F.M.; Roberts, A.P.; Petersen, T.N. Detection of mobile genetic elements associated with antibiotic resistance in Salmonella enterica using a newly developed web tool: MobileElementFinder. J. Antimicrob. Chemother. 2021, 76, 101–109. [Google Scholar] [CrossRef]
  48. Blin, K.; Shaw, S.; Kloosterman, A.M.; Charlop-Powers, Z.; van Wezel, G.P.; Medema, M.H.; Weber, T. antiSMASH 6.0: Improving cluster detection and comparison capabilities. Nucl. Acids Res. 2021, 49, W29–W35. [Google Scholar] [CrossRef] [PubMed]
  49. NCBI. Common Taxonomy Tree. Available online: https://www.ncbi.nlm.nih.gov/Taxonomy/CommonTree/wwwcmt.cgi (accessed on 3 April 2024).
  50. R Core Team: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. 2013. Available online: https://www.R-project.org/2 (accessed on 12 April 2024).
  51. Wickham, H. ggplot2: Elegant Graphics for Data Analysis; Springer: New York, NY, USA, 2016. [Google Scholar]
  52. Yu, G. Using ggtree to visualize data on tree-like structures. Curr. Protoc. Bioinform. 2020, 69, e96. [Google Scholar] [CrossRef] [PubMed]
  53. Vataščinová, T.; Pipová, M.; Fraqueza, M.; Maľa, P.; Dudriková, E.; Drážovská, M.; Lauková, A. Short communication: Antimicrobial potential of Lactobacillus plantarum strains isolated from slovak raw sheep milk cheeses. J. Dairy Sci. 2020, 103, 6900–6903. [Google Scholar] [CrossRef] [PubMed]
  54. Akhtar, S.; Nawaz, S.K. Antimicrobial efficacy of Lactobacillus plantarum strain against the B. cereus, B. subtilis, S. aureus and E.coli strains. Biosci. J. 2023, 39, e39061. [Google Scholar] [CrossRef]
  55. Jang, H.J.; Lee, N.-K.; Paik, H.-D. Probiotic characterization of Lactobacillus brevis KU15153 showing antimicrobial and antioxidant effect isolated from kimchi. Food Sci. Biotechnol. 2019, 28, 1521–1528. [Google Scholar] [CrossRef] [PubMed]
  56. Wei, Z.; Shan, C.; Zhang, L.; Ge, D.; Wang, Y.; Xia, X.; Liu, X.; Zhou, J. A novel subtilin-like lantibiotics subtilin JS-4 produced by Bacillus subtilis JS-4, and its antibacterial mechanism against Listeria monocytogenes. LWT 2021, 142, 110993. [Google Scholar] [CrossRef]
  57. Taggar, R.; Singh, S.; Bhalla, V.; Bhattacharyya, M.S.; Sahoo, D.K. Deciphering the antibacterial role of peptide from Bacillus subtilis subsp. Spizizenii Ba49 against Staphylococcus aureus. Front. Microbiol. 2021, 12, 708712. [Google Scholar] [CrossRef] [PubMed]
  58. Lv, X.; Ma, H.; Sun, M.; Lin, Y.; Bai, F.; Li, J.; Zhang, B. A novel bacteriocin DY4-2 produced by Lactobacillus plantarum from cutlassfish and its application as bio-preservative for the control of Pseudomonas fluorescens in fresh turbot (Scophthalmus maximus) fillets. Food Control 2018, 89, 22–31. [Google Scholar] [CrossRef]
  59. Karim, A.; Gerliani, N.; Aïder, M. Kluyveromyces marxianus: An emerging yeast cell factory for applications in food and biotechnology. Int. J. Food Microbiol. 2020, 333, 108818. [Google Scholar] [CrossRef]
  60. Sarquis, A.; Bajrami, D.; Mizaikoff, B.; Ladero, V.; Alvarez, M.A.; Fernandez, M. Characterization of the biofilms formed by histamine-producing Lentilactobacillus parabuchneri strains in the dairy environment. Foods 2023, 12, 1503. [Google Scholar] [CrossRef]
  61. Danielsen, M.; Wind, A. Susceptibility of Lactobacillus spp. to antimicrobial agents. Int. J. Food Microbiol. 2003, 82, 1–11. [Google Scholar] [CrossRef] [PubMed]
  62. Klarin, B.; Larsson, A.; Molin, G.; Jeppsson, B. Susceptibility to antibiotics in isolates of Lactobacillus plantarum RAPD-type Lp299v, harvested from antibiotic treated, critically ill patients after administration of probiotics. Microbiol. 2019, 8, e00642. [Google Scholar] [CrossRef] [PubMed]
  63. Stefańska, I.; Kwiecień, E.; Jóźwiak-Piasecka, K.; Garbowska, M.; Binek, M.; Rzewuska, M. Antimicrobial susceptibility of lactic acid bacteria strains of potential use as feed additives—The basic safety and usefulness criterion. Front. Vet. Sci. 2021, 8, 687071. [Google Scholar] [CrossRef] [PubMed]
  64. Campedelli, I.; Mathur, H.; Salvetti, E.; Clarke, S.; Rea, M.C.; Torriani, S.; Ross, R.P.; Hill, C.; O’toole, P.W. Genus-wide assessment of antibiotic resistance in Lactobacillus spp. Appl. Environ. Microbiol. 2019, 85, e01738-18. [Google Scholar] [CrossRef] [PubMed]
  65. Georgieva, R.; Yocheva, L.; Tserovska, L.; Zhelezova, G.; Stefanova, N.; Atanasova, A.; Danguleva, A.; Ivanova, G.; Karapetkov, N.; Rumyan, N.; et al. Antimicrobial activity and antibiotic susceptibility of Lactobacillus and Bifidobacterium spp. intended for use as starter and probiotic cultures. Biotechnol. Biotechnol. Equip. 2015, 29, 84–91. [Google Scholar] [CrossRef] [PubMed]
  66. Adimpong, D.B.; Sørensen, K.I.; Thorsen, L.; Stuer-Lauridsen, B.; Abdelgadir, W.S.; Nielsen, D.S.; Derkx, P.M.F.; Jespersen, L. Antimicrobial susceptibility of Bacillus strains isolated from primary starters for African traditional bread production and characterization of the bacitracin operon and bacitracin biosynthesis. Appl. Environ. Microbiol. 2012, 78, 7903–7914. [Google Scholar] [CrossRef] [PubMed]
  67. Brutscher, L.M.; Borgmeier, C.; Garvey, S.M.; Spears, J.L. Preclinical safety assessment of Bacillus subtilis BS50 for probiotic and food applications. Microorganisms 2022, 10, 1038. [Google Scholar] [CrossRef] [PubMed]
  68. Chen, L.; Zhang, S.; Wu, S.; Ren, Z.; Liu, G.; Wu, J. Synergistic protective effect of konjac mannan oligosaccharides and Bacillus subtilis on intestinal epithelial barrier dysfunction in Caco-2 cell model and mice model of lipopolysaccharide stimulation. Front. Immunol. 2021, 12, 696148. [Google Scholar] [CrossRef] [PubMed]
  69. Nuryana, I.; Andriani, A.; Lisdiyanti, P.; Yopi. Analysis of organic acids produced by lactic acid bacteria. IOP Conf. Ser. Earth Environ. Sci. 2019, 251, 012054. [Google Scholar] [CrossRef]
  70. Bustos, A.Y.; de Valdez, G.F.; Gerez, C.L. Optimization of phenyllactic acid production by Pediococcus acidilactici CRL 1753. Application of the formulated bio-preserver culture in bread. Biol. Control 2018, 123, 137–143. [Google Scholar] [CrossRef]
  71. Castells, A.; Leon, A.; Sosa, D.; Cadena, I.; Ramirez, D.; Serrano, L.; Larrea, F.; Almeida Streitweiser, D.; Alvarez-Barreto, J. Evaluation of lactic acid production by different Bacillus subtilis strains isolated from theobroma cacao crops in Ecuador. Chem. Eng. Trans. 2022, 93, 55–60. [Google Scholar] [CrossRef]
  72. Cui, F.; Li, Y.; Wan, C. Lactic acid production from corn stover using mixed cultures of Lactobacillus rhamnosus and Lactobacillus brevis. Bioresour. Technol. 2011, 102, 1831–1836. [Google Scholar] [CrossRef] [PubMed]
  73. Liu, W.-X.; Wang, J.-J.; Xiao, X.-K.; Chen, C.-R.; Lu, X.; Zhang, X.-Y.; Lin, L.-B.; Wang, F. Antimicrobial effects and metabolomics analysis of cell-free supernatant produced by Pediococcus acidilactici LWX 401 isolated from Yunnan traditional pickles. LWT 2024, 191, 115626. [Google Scholar] [CrossRef]
  74. Sreedharan, D.K.; Abbasiliasi, S.; Murugan, P.; Ng, Z.J.; Ariff, A.B.; Tan, J.S. Isolation and characterization of Lactobacillus brevis c23 with ability to secrete antimicrobial substance for the inhibition of a foodborne pathogen Listeria monocytogenes ATCC 7644. Malays. J. Microbiol. 2021, 17, 266–276. [Google Scholar] [CrossRef]
  75. Epparti, P.; Eligar, S.M.; Sattur, A.P.; Kumar, B.G.; Halami, P.M. Characterization of dual bacteriocins producing Bacillus subtilis SC3.7 isolated from fermented food. LWT 2022, 154, 112854. [Google Scholar] [CrossRef]
  76. Fugaban, J.I.I.; Bucheli, J.E.V.; Park, Y.J.; Suh, D.H.; Jung, E.S.; Franco, B.D.G.d.M.; Ivanova, I.V.; Holzapfel, W.H.; Todorov, S.D. Antimicrobial properties of Pediococcus acidilactici and Pediococcus pentosaceus isolated from silage. J. Appl. Microbiol. 2022, 132, 311–330. [Google Scholar] [CrossRef] [PubMed]
  77. Wu, A.; Fu, Y.; Kong, L.; Shen, Q.; Liu, M.; Zeng, X.; Wu, Z.; Guo, Y.; Pan, D. Production of a class IIb bacteriocin with broad-spectrum antimicrobial activity in Lactiplantibacillus plantarum RUB1. Probiotics Antimicrob. Proteins 2021, 13, 1820–1832. [Google Scholar] [CrossRef] [PubMed]
  78. Malik, R.K.; Salooja, M.K.; Parul, T. Application of bacteriocins of Lactobacillus brevis as biomedicine. Res. J. Biotechnol. 2021, 16, 109–117. [Google Scholar] [CrossRef]
  79. Qin, Y.; Wang, Y.; He, Y.; Zhang, Y.; She, Q.; Chai, Y.; Li, P.; Shang, Q. Characterization of subtilin L-Q11, a novel class I bacteriocin synthesized by Bacillus subtilis L-Q11 isolated from orchard soil. Front. Microbiol. 2019, 10, 484. [Google Scholar] [CrossRef]
  80. Song, J.; Chen, J.-Y.; Zhang, D.-D.; Li, R.; Kong, Z.-Q.; Zhu, H.; Dai, X.-F.; Han, D.; Wang, D. Genome resource of Bacillus subtilis KRS015, a potential biocontrol agent for Verticillium dahliae. PhytoFront 2024. [Google Scholar] [CrossRef]
  81. Jha, S.S.; Joshi, S.J.; Geetha, S.J. Lipopeptide production by Bacillus subtilis R1 and its possible applications. Braz. J. Microbiol. 2016, 47, 955–964. [Google Scholar] [CrossRef] [PubMed]
  82. Ansari, J.A.; Ismail, M.; Farid, M. Extension of shelf life of pasteurized trim milk using ultraviolet treatment. J. Food Saf. 2020, 40, e12768. [Google Scholar] [CrossRef]
  83. Aghajanzadeh, S.; Ziaiifar, A.M.; Verkerk, R. Effect of thermal and non-thermal treatments on the color of citrus juice: A review. Food Rev. Int. 2023, 39, 3555–3577. [Google Scholar] [CrossRef]
  84. Dhanda, S.; Kumar, P.; Bansal, P.; Singh, J.; Dhanda, S. Identification, purification, characterization and biopreservation potential of antimicrobial peptide of Pediococcus acidilactici NCDC 252. Int. J. Pept. Res. Ther. 2023, 29, 15. [Google Scholar] [CrossRef]
  85. Md Sidek, N.L.; Halim, M.; Tan, J.S.; Abbasiliasi, S.; Mustafa, S.; Ariff, A.B. Stability of bacteriocin-like inhibitory substance (BLIS) produced by Pediococcus acidilactici kp10 at different extreme conditions. BioMed Res. Int. 2018, 2018, 5973484. [Google Scholar] [CrossRef] [PubMed]
  86. Zangeneh, M.; Khorrami, S.; Khaleghi, M. Bacteriostatic activity and partial characterization of the bacteriocin produced by L. plantarum sp. isolated from traditional sourdough. Food Sci. Nutr. 2020, 8, 6023–6030. [Google Scholar] [CrossRef] [PubMed]
  87. Qadi, W.S.M.; Mediani, A.; Kasim, Z.M.; Misnan, N.M.; Sani, N.A.; Jamar, N.H. Biological characterization and metabolic variations among cell-free supernatants produced by selected plant-based lactic acid bacteria. Metabolites 2023, 13, 849. [Google Scholar] [CrossRef]
  88. Bin Hyun, W.; Kang, H.S.; Lee, J.W.; Abraha, H.B.; Kim, K.-P. A newly-isolated Bacillus subtilis BSC35 produces bacteriocin-like inhibitory substance with high potential to control Clostridium perfringens in food. LWT 2021, 138, 110625. [Google Scholar] [CrossRef]
Figure 1. Depiction of the inhibition zone achieved by each selected culture-free supernatant: <9.2 mm (white), 9.2 mm ≤ inhibition zone < 15.0 mm (green), 15.0 mm ≤ inhibition zone < 25.0 mm (red), and ≥25.0 mm (blue). Tested bacterial species: K.m. = Kluyveromyces marxianus CNTA.1649, P.f. = Pseudomonas fluorescens CNTA 571, L.p. = Lentilactobacillus parabuchneri DSMZ 5987, R.m. = Rothia mucilaginosa DSMZ 18184, P.a. = Pseudomonas aeruginosa CECT 110T, L.m. = Listeria monocytogenes CECT 7467, B.c.193 = Bacillus cereus CECT 193, B.c.503 = Bacillus cereus CNTA 503, S.T. = Salmonella Typhimurium CECT 443, S.a. = Staphylococcus aureus CECT 976, and E.c. = Escherichia coli DSMZ 19206. A dendrogram showing the taxonomic hierarchical relationship between the different tested strains is also shown. 1 = Lactiplantibacillus plantarum, 2 = Lactiplantibacillus pentosus, 3 = Pediococcus acidilactici, 4 = Lacticaseibacillus paracasei, 5 = Lacticaseibacillus rhamnosus, 6 = Lacticaseibacillus casei, 7 = Lacticaseibacillus manihotivorans, 8 = Limosilactobacillus fermentum, 9 = Limosilactobacillus reuteri, 10 = Levilactobacillus brevis, 11 = Lactobacillus delbrueckii, 12 = Lactobacillus johnsonii, 13 = Leuconostoc mesenteroides, 14 = Leuconostoc citreum, 15 = Leuconostoc pseudomenteroides, 16 = Latilactobacillus curvatus, 17 = Weissella confusa, 18 = Companilactobacillus alimentarius, 19 = Liquorilactobacillus nagelii, 20 = Ligilactobacillus salivarius, 21 = Oenococcus oeni, 22 = Enterococcus mundtii, 23 = Bacillus subtilis. Selected cultures: a = Lactiplantibacillus plantarum CNTA 600, b = Pediococcus acidilactici CNTA 1059, c = Levilactobacillus brevis CNTA 1374, and d = Bacillus subtilis CNTA 517.
Figure 1. Depiction of the inhibition zone achieved by each selected culture-free supernatant: <9.2 mm (white), 9.2 mm ≤ inhibition zone < 15.0 mm (green), 15.0 mm ≤ inhibition zone < 25.0 mm (red), and ≥25.0 mm (blue). Tested bacterial species: K.m. = Kluyveromyces marxianus CNTA.1649, P.f. = Pseudomonas fluorescens CNTA 571, L.p. = Lentilactobacillus parabuchneri DSMZ 5987, R.m. = Rothia mucilaginosa DSMZ 18184, P.a. = Pseudomonas aeruginosa CECT 110T, L.m. = Listeria monocytogenes CECT 7467, B.c.193 = Bacillus cereus CECT 193, B.c.503 = Bacillus cereus CNTA 503, S.T. = Salmonella Typhimurium CECT 443, S.a. = Staphylococcus aureus CECT 976, and E.c. = Escherichia coli DSMZ 19206. A dendrogram showing the taxonomic hierarchical relationship between the different tested strains is also shown. 1 = Lactiplantibacillus plantarum, 2 = Lactiplantibacillus pentosus, 3 = Pediococcus acidilactici, 4 = Lacticaseibacillus paracasei, 5 = Lacticaseibacillus rhamnosus, 6 = Lacticaseibacillus casei, 7 = Lacticaseibacillus manihotivorans, 8 = Limosilactobacillus fermentum, 9 = Limosilactobacillus reuteri, 10 = Levilactobacillus brevis, 11 = Lactobacillus delbrueckii, 12 = Lactobacillus johnsonii, 13 = Leuconostoc mesenteroides, 14 = Leuconostoc citreum, 15 = Leuconostoc pseudomenteroides, 16 = Latilactobacillus curvatus, 17 = Weissella confusa, 18 = Companilactobacillus alimentarius, 19 = Liquorilactobacillus nagelii, 20 = Ligilactobacillus salivarius, 21 = Oenococcus oeni, 22 = Enterococcus mundtii, 23 = Bacillus subtilis. Selected cultures: a = Lactiplantibacillus plantarum CNTA 600, b = Pediococcus acidilactici CNTA 1059, c = Levilactobacillus brevis CNTA 1374, and d = Bacillus subtilis CNTA 517.
Applsci 14 04016 g001
Table 1. Antibiotic resistance of the selected strains according to the broth microdilution assay. The S/R values were taken following the FEEDAP cut-off values for Pediococcus spp., Lactobacillus plantarum/pentosus, Lactobacillus obligate heterofermentatives [30], and SCAN values for the Bacillus sp. [31].
Table 1. Antibiotic resistance of the selected strains according to the broth microdilution assay. The S/R values were taken following the FEEDAP cut-off values for Pediococcus spp., Lactobacillus plantarum/pentosus, Lactobacillus obligate heterofermentatives [30], and SCAN values for the Bacillus sp. [31].
Potential Protective CultureAntibiotic Resistance *
Resistant/Sensitive
GENKANSTRTETCLNCHLAMPERYVAN
Pediocccus acidilactici CNTA 1059SRSSSSSSn.r.
Lactiplantibacillus plantarum CNTA 600SRn.r.SSSSSn.r.
Levilactobacillus brevis CNTA 1374SSSSSSSSn.r.
Bacillus subtilis CNTA 517SSRSSSn.r.SS
* GEN: gentamycin; KAN: Kanamycin; STR: Streptomycin; TET: Tetracycline; CLN: clindamycin; CHL: cloramphenicol; AMP: ampicilin; ERY: erytromycin; VAN: vancomycin. S: sensitive to antibiotic; R: antibiotic resistant; n.r.: not required.
Table 2. Organic acids concentration on the cell-free supernatants (CFSs). Different superscripts indicate statistical differences among the mean lactic acid or acetic acid production of the tested strains.
Table 2. Organic acids concentration on the cell-free supernatants (CFSs). Different superscripts indicate statistical differences among the mean lactic acid or acetic acid production of the tested strains.
StrainOrganic Acids (g/L)
Lactic AcidAcetic AcidPhenylactic Acid
Pediococcus acidilactici CNTA 10598.20 a ± 0.193.58 x ± 0.07119.13 ± 1.17
Lactiplantibacillus plantarum CNTA 6007.39 a ± 0.133.64 x ± 0.00-
Levilactobacillus brevis CNTA 13742.80 b ± 0.023.78 x ± 0.07-
Bacillus subtilis CNTA 5172.70 b ± 0.17<0.25-
Table 3. Antimicrobial activity of the cell-free supernatants (CFSs) at pH 3.50 and 7.00.
Table 3. Antimicrobial activity of the cell-free supernatants (CFSs) at pH 3.50 and 7.00.
StrainCFS pHHalo Diameter (mm)
CFS pH 3.50CFS pH 7.00
Pediococcus acidilactici CNTA 10594.3323.27 ± 0.7223.10 ± 0.56
Lactiplantibacillus plantarum CNTA 6004.4420.14 * ± 0.9519.32 * ± 0.26
Levilactobacillus brevis CNTA 13745.0631.89 ± 0.4631.52 ± 0.12
Bacillus subtilis CNTA 5176.7714.93 * ± 0.0128.98 ± 0.08
* Significantly different from native pH halo size (p ≤ 0.05).
Table 4. Identified secondary metabolite regions in the genome (assembled contigs) of Bacillus subtilis CNTA 517 using AntiSMASH with strictness ‘relaxed’.
Table 4. Identified secondary metabolite regions in the genome (assembled contigs) of Bacillus subtilis CNTA 517 using AntiSMASH with strictness ‘relaxed’.
Region
(contig:from-to)
TypeMost Similar Known ClusterSimilarity
01:93826-115524epipeptidethailanstatin A10%
01:335810-377228otherbacilysin100%
01:380214-401825sactipeptidesubtilosin A100%
01:618860-639606CDPSpulcherriminic acid100%
01:922093-973870NRP-metallophore, NRPSbacillibactin100%
02:317794-358891T3PKS1-carbapen-2-em-3-carboxylic acid16%
02:407348-429246terpene
02:502119-579867NRPS, betalactonefengycin100%
02:644080-758852transAT-PKS, NRPS, T3PKS, PKS-likebacillaene100%
03:1-21708NRPS--
03:430506-451309terpene--
05:199657-265045NRPSsurfactin78%
05:395661-418614sactipeptide, ranthipeptidesporulation killing factor100%
10:1-6820NRPSpelgipeptin37%
14:1-1179NRPS
Table 5. Estimation of the lost antimicrobial activity of the cell-free supernatants (CFSs) after two examples of commercial sterilization treatments.
Table 5. Estimation of the lost antimicrobial activity of the cell-free supernatants (CFSs) after two examples of commercial sterilization treatments.
Strain% of Antimicrobial Activity Lost after the In-Container Milk Sterilization Treatment (110 °C/20 min)% of Antimicrobial Activity Lost after Botulinum Cooking (121 °C/3 min)% of Antimicrobial Activity Lost after Autoclaved Treatment (121 °C/15 min)
Pediococcus acidilactici CNTA 10598.183.7311.06
Lactiplantibacillus plantarum CNTA 60013.9213.1222.17
Levilactobacillus brevis CNTA 13748.364.739.02
Bacillus subtilis CNTA 51721.679.4428.70
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Garin-Murguialday, N.; Espina, L.; Virto, R.; Pagán, R. Lactic Acid Bacteria and Bacillus subtilis as Potential Protective Cultures for Biopreservation in the Food Industry. Appl. Sci. 2024, 14, 4016. https://doi.org/10.3390/app14104016

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Garin-Murguialday N, Espina L, Virto R, Pagán R. Lactic Acid Bacteria and Bacillus subtilis as Potential Protective Cultures for Biopreservation in the Food Industry. Applied Sciences. 2024; 14(10):4016. https://doi.org/10.3390/app14104016

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Garin-Murguialday, Nerea, Laura Espina, Raquel Virto, and Rafael Pagán. 2024. "Lactic Acid Bacteria and Bacillus subtilis as Potential Protective Cultures for Biopreservation in the Food Industry" Applied Sciences 14, no. 10: 4016. https://doi.org/10.3390/app14104016

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