Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Genomic insights into the probiotic potential and genes linked to gallic acid metabolism in Pediococcus pentosaceus MBBL6 isolated from healthy cow milk

  • Md. Morshedur Rahman,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft

    Affiliation Department of Gynecology, Obstetrics and Reproductive Health, Molecular Biology and Bioinformatics Laboratory, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh

  • Naim Siddique,

    Roles Data curation, Formal analysis, Methodology, Writing – original draft

    Affiliation Department of Gynecology, Obstetrics and Reproductive Health, Molecular Biology and Bioinformatics Laboratory, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh

  • Soharth Hasnat,

    Roles Data curation, Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft

    Affiliations Department of Gynecology, Obstetrics and Reproductive Health, Molecular Biology and Bioinformatics Laboratory, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh, Institute of Biotechnology and Genetic Engineering (IBGE), Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh

  • Md. Tanvir Rahman,

    Roles Investigation, Project administration, Supervision, Validation, Writing – review & editing

    Affiliation Faculty of Veterinary Sciences, Department of Microbiology and Hygiene, Bangladesh Agricultural University, Mymensingh, Bangladesh

  • Mustafizur Rahman,

    Roles Investigation, Project administration, Resources, Supervision, Validation, Writing – review & editing

    Affiliation iccdr’b (International Centre for Diarrhoeal Disease Research, Bangladesh), Dhaka, Bangladesh

  • Munirul Alam,

    Roles Investigation, Project administration, Resources, Supervision, Validation, Writing – review & editing

    Affiliation iccdr’b (International Centre for Diarrhoeal Disease Research, Bangladesh), Dhaka, Bangladesh

  • Ziban Chandra Das,

    Roles Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – review & editing

    Affiliation Department of Gynecology, Obstetrics and Reproductive Health, Molecular Biology and Bioinformatics Laboratory, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh

  • Tofazzal Islam ,

    Roles Conceptualization, Project administration, Resources, Supervision, Writing – review & editing

    tofazzalislam@bsmrau.edu.bd (TI); nazmul90@bsmrau.edu.bd (MNH)

    Affiliation Institute of Biotechnology and Genetic Engineering (IBGE), Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh

  • M. Nazmul Hoque

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Writing – review & editing

    tofazzalislam@bsmrau.edu.bd (TI); nazmul90@bsmrau.edu.bd (MNH)

    Affiliation Department of Gynecology, Obstetrics and Reproductive Health, Molecular Biology and Bioinformatics Laboratory, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh

Abstract

Pediococcus pentosaceus is well known for its probiotic properties, including roles in improving health, antimicrobial production, and enhancing fermented food quality. This study aimed to comprehensively analyze the whole genome of P. pentosaceus MBBL6, isolated from healthy cow milk, to assess its probiotic and antimicrobial potentials. P. pentosaceus MBBL6, isolated from a healthy cow milk at BSMRAU dairy farm, Gazipur, Bangladesh, underwent comprehensive genomic analysis, including whole genome sequencing, assembly, annotation, phylogenetic comparison, and assessment of metabolic pathways and secondary metabolites. Antimicrobial efficacy was evaluated through in-vitro and in-vivo studies, alongside in-silico exploration for potential mastitis therapy. We predicted 1,906 genes and 204 SEED sub-systems involved in carbohydrate metabolism and vitamin B complex biosynthesis, with a focus on lactose metabolism in MMBL6. Notably, 43 putative carbohydrate-active enzyme genes, including lysozymes, suggest the ability of MBBL6 for carbohydrate biotransformation and antimicrobial activity. The genome also revealed primary metabolic pathways for arginine and gallic acid metabolism and secondary metabolite gene clusters, including T3PKS and RiPP-like regions. Importantly, two bacteriocin biosynthesis gene clusters namely bovicin_255_variant and penocin_A, were identified in MBBL6. The safety assessment of MBBL6 genome revealed no virulence genes and a low pathogenicity score (0.196 out of 1.0). Several genes related to survival in gastrointestinal tract and colonization were also identified. Furthermore, MBBL6 exhibited susceptibility to a wide range of antibiotics in-vitro, and effectively suppressed mastitis pathogens in an in-vivo mouse mastitis model trial. The observed bacteriocin, particularly bovicin, demonstrated the ability to disrupt the function of an essential protein, Rho factor of mastitis pathogens by blocking transcription termination process. Taken together, our in-depth genomic analysis underscores the metabolic versatility, safety profile, and antimicrobial potential of P. pentosaceus MBBL6, suggesting its promise for applications in therapeutics, bioremediation, and biopreservation.

1. Background

Probiotics are living or viable beneficial microorganisms, such as bacteria and yeast, that provide health benefits to the hosts, when administered in adequate amounts [1]. Over the last two decades, probiotics have gained more attention for conferring extensive beneficial effects without causing any harms to the host health [1,2]. Lactic acid bacteria (LAB) are considered as the most prevalent and beneficial probiotics among the various bacterial genera. The LAB comprises a considerable number of bacterial species belonging to genera Lactobacillus, Lactococcus, Leuconostoc, Pediococcus, Bifidobacteria and Streptococcus [3]. These microorganisms are extensively used due to their ability to ferment carbohydrates into lactic acid, which helps maintain a healthy gut microbiome [1]. Historically, LAB have been intensively used in food fermentation as natural fermenters. The U.S. Food and Drug Administration (FDA) categorizes LAB as "Generally Recognized As Safe" (GRAS), while the European Food Safety Authority (EFSA) designates them under the Qualified Presumption of Safety (QPS) status [4]. These classifications highlight the health benefits of LAB, which include enhancing digestion, boosting the immune system, and potentially preventing gastrointestinal infections [1,5]. Thus, the extensive study of LABare essential to further underscore their critical role in promoting overall health and well-being.

Pediococcus pentosaceus is a widely distributed and well-recognized probiotic LAB species commonly found in milk and milk products, fermented foods, meat, feces, the gut, plants, and plant products [5,6]. It has been reported that P. pentosaceus can survive in diverse environments, including animal and human guts, supported by genes that facilitate adaptation, stress tolerance, and resistance [7]. These genetic traits, including those associated with surface adhesion, enable P. pentosaceus to attach to various substrates and host tissues, essential for colonization and survival across ecological niches [8]. Moreover, P. pentosaceus is involved in several metabolic processes such as carbohydrates, lipids, amino acids, energy, and vitamins metabolism [5,7]. P. pentosaceus is also recognized for producing antimicrobial compounds like pediocin, a bacteriocin with broad-spectrum activity against bacterial pathogens, including Escherichia coli, Staphylococcus aureus, Bacillus subtilis, Klebsiella pneumoniae, Pseudomonas aeruginosa, Enterococcus faecalis, Acinetobacter baumannii, as well as Listeria and Clostridium species [913]. These bacteriocins are significant in food preservation, combating spoilage, preventing foodborne diseases, and show promise as therapeutic agents against clinical and foodborne illnesses [1416]. Furthermore, strains of P. pentosaceus have demonstrated potential health benefits including antiobesity, antiinflammatory, antioxidant, antimicrobial, and cholesterol-lowering effects, along with enhancing intestinal barrier function and modulating the immune system [14,16,17]. Gallic acid (GA), a naturally occurring bioactive phenolic compound presents in a variety of plants and fruits like bananas, lemons, pineapples, grapes, and strawberries [18]. GA and its derivatives are known for conferring numerous beneficial effects on host health, such as antioxidant, antimicrobial, anticancer, anti-inflammatory, gastroprotective, cardioprotective, neuroprotective, and metabolic disease prevention activities [18,19]. To provide health benefits, phenolic compound must be bioavailable in the gastrointestinal tract. Certain LAB species possess genes involved in GA metabolism, which can enhance its bioavailability and significantly amplify its beneficial effects in the human body [20,21].

Advances in next-generation sequencing technology have expanded the array of tools available for investigating genomic insights into microorganisms [22,23]. For instance, whole genome sequencing offers a comprehensive view of genetic variations within individuals [23,24]. Furthermore, genomic analysis of probiotics to identify antimicrobial resistance (AMR) and virulence genes provides crucial insights into potential risks associated with their future use [13]. Additionally, genome sequencing reveals insights into the functional diversity, metabolic pathways, antibiotic character, and health benefits of probiotics [1,2]. This study aimed to sequence and analyze the genome of P. pentosaceus MBBL6, isolated from healthy cow’s milk, to elucidate its genomic characteristics, safety profile, antimicrobial efficacy, and probiotic potential (S1 Graphical abstract). Findings of this study revealed that P. pentosaceus MBBL6 possesses useful metabolic pathways, strong antimicrobial properties, and excellent safety, making it a promising probiotic for preventing mastitis in dairy farms and other biotechnological applications.

2. Materials and methods

2.1 Ethics statement

This study was reviewed and approved by the Animal Research Ethics Committee (AREC) of the Bangabandhu Sheikh Mujibur Rahman Agricultural University, Bangladesh (Reference number: FVMAS/AREC/2023/6679, Date: 16/01/2023).

2.2 Bacterial strain and culture conditions

Milk samples from healthy lactating cows were collected from the BSMRAU dairy farm (24.09° N, 90.41° E) in Gazipur, Bangladesh. To confirm the absence of mastitis, a California Mastitis Test was performed [25]. The milk samples were then enriched in deMan, Rogosa and Sharpe (MRS) broth (HiMedia, India) and incubated overnight aerobically at 37°C. The enriched samples were streaked onto MRS agar plates and incubated at 37°C for 48 h. The MBBL6 isolate was identified as P. pentosaceus using the VITEK-2 system v9.01 [26]. Pure colonies from MRS agar were diluted in 0.45% saline to achieve a 0.5 McFarland standard and subsequently inoculated into VITEK 2 system cards. Within 3 h, the system identified the MBBL6 isolate as P. pentosaceus based on their distinctive biochemical properties. Finally, P. pentosaceus MBBL6 isolate was stored in MRS broth at -80°C supplemented with 20% glycerol [6].

2.3 Genome sequencing, assembly and annotation of the P. pentosaceus MBBL6

The MBBL6 isolate was subcultured overnight at 37°C in nutrient broth (Biolife™, Italy). Genomic DNA extraction was performed using the QIAamp DNA Mini Kit (QIAGEN, Germany). The purity and concentration of the extracted DNA were assessed using a NanoDrop 2000 spectrophotometer (Thermo Fisher Scientific, USA) [27]. Whole genome libraries were prepared from 1 ng of DNA using the Nextera™ DNA Flex library preparation kit (Illumina, San Diego, USA) and subjected to whole genome sequencing (WGS) on an Illumina MiSeq sequencer (Illumina, USA) with a 2 × 250 bp protocol [6]. Paired-end raw reads (N = 4,216,200) were trimmed with Trimmomatic v0.39 [28] and quality-checked using FastQC v0.11.7 [29]. Reads with phred scores > 20 [30] were assembled with SPAdes v3.15.6 [31]. Genome annotation was performed using the NCBI Prokaryotic Genome Annotation Pipeline (PGAP) v6.6 [32], utilizing the Pediococcus CheckM v1.2.2 marker set [33]. Furthermore, Rapid Annotation using Subsystem Technology (RAST, http://rast.nmpdr.org/) [34] online web server was used for subsystem analysis. The MBBL6 genome was visualized using CGView (http://stothard.afns.ualberta.ca/cgview_server/; accessed 20 June 2024). The tRNAscan-SE v2.0 [35] web search server (http://trna.ucsc.edu/software/; accessed 20 June 2024), Barrnap software (https://github.com/tseemann/barrnap) and PlasmidFinder [36] were used to detect tRNAs, rRNAs and plasmid regions in the assembled genome of MBBL6, respectively. Furthermore, subsystem features and metabolic function-related genes/pathways of MBBL6 were identified using RAST server v2.0 [37]. Genome annotation and classification of metabolic pathways utilized the KEGG database [38] via KEGG Automatic Annotation Server (KAAS, https://www.genome.jp/kegg/kaas/).

2.4 Average nucleotide identity (ANI) and phylogenetic analysis

The assembled MBBL6 genome was used to calculate ANI values and to conduct evolutionary phylogenetic analysis with nineteen closely related P. pentosaceus strains (S1 Table) available in the National Center for Biotechnology Information (NCBI) database (https://www.ncbi.nlm.nih.gov/). ANI values were calculated for all-vs-all microbial genomes using ANIclustermap v.1.3.0 [39]. Multiple alignments of nucleotide sequences of the assembled draft genomes (S1 Table) were performed with MUSCLE v3.8 [40], and a maximum-likelihood (ML) phylogenetic tree was generated using PhyML v3.3 [41]. The tree was then visualized using iTOL v6.9 [42].

2.5 Comparative genome analysis

To detect orthologous gene groups among twenty P. pentosaceus strains (S1 Table), including the MBBL6 strain, OrthoFinder v2.5.5 [43] was used with default settings. The UpsetR package [44] in R v4.3.3 was utilized to create an Upset plot for visualizing orthogroups identified by OrthoFinder. Additionally, the core orthogroups were classified into Clusters of Orthologous Groups (COG) [45] families using the Batch CD-Search web server (https://www.ncbi.nlm.nih.gov/Structure/bwrpsb/bwrpsb.cgi; accessed 01 July 2024). The genomes of P. pentosaceus DSPZPP1 and SRCM217654, which clustered into the same clade as MBBL6 in the phylogenetic tree, were selected for further analysis of the potential evolutionary relationships among these strains. To demonstrate synteny between large blocks of genomic sequences, the Mauve alignment tool [46] was applied. Additionally, the BLAST Ring Image Generator (BRIG) v0.95 [47] was used to compute and visualize the nucleotide sequences of P. pentosaceus strains MBBL6, DSPZPP1, MBBL4, and SRCM217654. The P. pentosaceus SRCM217654 strain served as the standard (reference) genome for comparative analysis.

2.6 Analysis of carbohydrate utilization and associated enzymes in P. pentosaceus MBBL6

A series of biochemical tests (S2 Table) were conducted following standard protocols [48] to evaluate the carbohydrate fermentation profiles and enzyme activities of the MBBL6 isolate. To examine the carbohydrate metabolism of P. pentosaceus MBBL6, the Carbohydrate Active Enzyme Database (CAZy, http://www.cazy.org/) was used to investigate the genes associated with CAZymes families. The protein sequences of the genome were annotated with HMMER v3.4 [49] via dbCAN server (https://bcb.unl.edu/dbCAN2/index.php) against the CAZy database. To identify the CAZyme class, the cut-off values of 1e-15 and 0.35 were used.

2.7 Analysis of primary metabolic regions and secondary metabolites in P. pentosaceus MBBL6

In MBBL6 genome, primary metabolic gene clusters were detected using gutSMASH v1.0 [50] and secondary metabolite biosynthetic gene clusters were predicted with antiSMASH v7.0 [51]. Data analysis and visualization were conducted using the SRplot and the R v4.3.3 with the packages (ggplot2, dplyr, and viridis) [52]. The BAGEL4 (http://bagel4.molgenrug.nl/index.php; accessed 05 July 2024) web tool was applied to identify the bacteriocins and their associated genes present in the MBBL6 genome. Additionally, the BLASTp (https://blast.ncbi.nlm.nih.gov/Blast.cgi) was used to manually confirm the identified bacteriocin domains against databases of non-redundant protein sequences (nr).

2.8 In-vitro and genomic safety analyses of P. pentosaceus MBBL6

The antibiotic susceptibility test for the MBBL6 isolate was conducted using the Kirby-Bauer disc diffusion method [23]. The susceptibility pattern was assessed with ten commercially available antibiotic discs, including those inhibiting protein synthesis (azithromycin, 15 μg; amikacin, 30 μg; and gentamicin, 10 μg), cell wall synthesis (cefepime, 30 μg; ceftriaxone, 30 μg; cefuroxime sodium, 30 μg; imipenem, 10 μg; and meropenem, 10 μg), and DNA gyrase inhibitors (nalidixic acid, 30 μg; and ciprofloxacin, 5 μg) (HiMedia). In brief, overnight cultures of approximately 10^9 CFU/mL were swabbed onto Mueller Hinton agar plates. Antibiotic-impregnated discs were then placed on the swabbed plates under aseptic conditions. After 24 h of incubation at 37°C, the diameters of the inhibition zones were measured. The tests were performed in triplicate, and the results were classified as resistant (R), intermediate (I), or susceptible (S) according to the Clinical and Laboratory Standards Institute (CLSI) M100 guidelines of 2023 [53]. Antibiotic resistant genes (ARGs) were predicted using the ResFinder 4.0 [54] database. Further, virulence genes were searched using VirulenceFinder 2.0 [55] database. All the analysis was performed in the ABRicate (https://github.com/tseemann/abricate) biotool with default parameter. The PathogenFinder (http://cge.cbs.dtu.dk/services/PathogenFinder/, accessed 10 July 2024) online tool was utilized for calculating the possibility of the pathogen being human. The hemolytic activity of MBBL6 was evaluated by streaking the isolate on blood agar plates supplemented with 5% (v/v) sheep blood. After incubating the plates at 37°C for 24 h, they were inspected for specific hemolytic reactions (α, β, or γ hemolysis) [56]. Control plates without the bacterial inoculum were used simultaneously for comparison. The PHASTEST (Phage Search Tool with Enhanced Sequence Translation) [57] web tool (https://phastest.ca/; accessed 02 July 2024) was used to search prophages in MBBL6 genome. The clustered regularly interspaced short palindromic repeats (CRISPR) and their CRISPR-associated (Cas) proteins were investigated using CRISPRCasFinder v4.2.20 [58] and insertion sequences (IS) of the genome were predict via ISfinder [59].

2.9 In-vitro and in-vivo antimicrobial efficacy of the P. pentosaceus MBBL6

The MBBL6 strain was evaluated for its probiotic potential against two major pathogens of bovine mastitis [60] such as S. aureus D4C4 (NCBI GenBank accession: MN620430) and E. coli G1C5 (NCBI GenBank accession: MN620426), using both in-vitro (agar well diffusion technique) and in-vivo (mouse mastitis model) methods. In brief, agar well diffusion method was performed using concentrated cell-free supernatant (CFS) of MBBL6 following established protocols with minor adjustments [13,61]. Initially, MBBL6 was cultured in 10 mL of nutrient broth (Oxoid, UK) and statically incubated at 37°C for 24 h. Subsequently, 1 mL of this culture was transferred to 100 mL of nutrient broth and further incubated at 37°C for 48 h. The resulting culture was then centrifuged at 6000 rpm for 15 min at 4°C, followed by neutralization to pH 7.0 and sterile filtration through a 0.22 μm Millipore filter to obtain the CSF. Thereafter, inoculums (106 CFU/mL) of S. aureus and E. coli were spread on nutrient agar plates (Oxoid, UK). Several wells (6 mm in diameter) were made in each nutrient agar plate and filled with 100 μL of CFS from MBBL6. Following a 24 h incubation period at 37°C, the antibacterial activity was assessed by measuring the diameter of the inhibition zones.

To investigate the antimicrobial effectiveness of MBBL6 in-vivo, we conducted a mouse mastitis model experiment using 20 germ-free Swiss albino timed pregnant mice (Day 18 of breeding), divided into two groups: Group I (n = 10) and Group II (n = 10), following our previously published protocol [23,62]. The mice were obtained from the Animal Research Farm, International Centre for Diarrhoeal Disease Research, Bangladesh (ICDDR’B), Bangladesh. Mastitis was induced in both groups by subcutaneous injection (in the inguinal regions) and oral administration of S. aureus and E. coli inoculate at 100 μL per mouse (106 CFU/mL) [23]. After seven days of challenge, Group I mice were treated with 100 μL of MBBL6 (109 CFU/mL) administered orally and sprayed on the mammary gland every alternate day for 14 days. Group II mice received a placebo treatment with distilled water (control). The mice were housed in a germ-free environment, maintained on a 12 h light/dark cycle with ad libitum access to food and water. Their mammary glands were closely monitored each day for any signs of mastitis. Key clinical indicators of mastitis included noticeable redness, swelling, and discoloration of the mammary glands, along with the presence of exudate from the inguinal glands, signaling infection and inflammation. At the end of the experiment (i.e., 14 days post-challenge), mice from each group were placed in a CO₂ chamber for euthanasia and to collect samples [63]. Specifically, to minimize suffering, euthanasia was performed humanely using CO₂ gas, followed by cervical dislocation for collection of mammary and colon tissues to assess inflammation levels and examine histological changes [64]. Histopathological sections of mammary and colon tissues were prepared using hematoxylin and eosin staining, following our established protocols [23]. Histopathological changes in the mammary and colon tissues were graded on a scale from 0 to 3 (0: normal, 1: mild, 2: moderate, 3: severe) [23,63]. Slides were examined using a Primo Star microscope (Carl Zeiss, Germany) with a 40× objective lens. Images were captured with an AxioCamERc5s camera through ZEN 2012 INK software (Carl Zeiss, Germany) and analyzed using Image J software.

2.10 In-silico therapeutic effect of P. pentosaceus MBBL6 against mastitis pathogens

The Pan-genome Explorer was used to analyze two complete genomes of S. aureus D4C4 and E. coli G1C5 sequenced from bovine clinical mastitis milk to identify common core proteins shared between the two species [65]. Essential proteins were identified from these core proteins by comparing them to a database of essential proteins using the Manual BLASTp program [66]. Bacteriocins were then screened against these essential proteins using the Maestro BioLuminate (v.5.5) software package from Schrödinger [67]. For final validation of the bacteriocins (e.g., bovicin and penocin) effects on the essential proteins of S. aureus D4C4 and E. coli G1C5, a 200 ns molecular dynamics simulation was conducted using the Maestro Desmond (v.14) software package from Schrödinger [67].

3. Results

3.1 P. pentosaceus MBBL6 exhibits typical genomic features

The draft genome of MBBL6 comprises 1,849,397 base pairs (bp) spanning over 42 contigs, with a genome coverage of 128.7x, and a GC content of 37.3%, indicating robust sequencing depth and a balanced nucleotide composition. It possessed two linear plasmid regions containing repUS64 (954 bp) and rep31 (1,158 bp). Fig 1 demonstrates the circular view of the MBBL6 genome. The CheckM analysis of the genome revealed a high completeness of 97.97% and a low contamination level of 4.68%. The basic information of the MBBL6 genome and its genomic features, including coding sequences (CDSs), CRISPR regions, prophages, ARGs, virulence genes, and probability of being a human pathogen, are provided in Table 1. Genome annotation revealed 1,906 predicted genes, including 1,804 protein-coding sequences (CDS), two ARGs viz. lnu(A) and erm(B), seven rRNA genes (Table 1), and 55 tRNA genes (S3 Table). Additionally, 204 subsystems for metabolic functions were identified via RAST [34] annotation web server (Table 1).

thumbnail
Fig 1. Circular genome map of P. pentosaceus MBBL6.

The circular illustration was visualized using the CGView server and contains four rings. The outermost circle and the second circle show the positions of the coding sequences (CDSs) in forward and reverse strand directions, respectively. The tRNA, tmRNA e rRNA genes are represented by light green, red, and maroon arrows, respectively. The next rings show the following information: GC content (black), GC skew + (dark green), and GC skew − (purple), respectively.

https://doi.org/10.1371/journal.pone.0316270.g001

3.2 P. pentosaceus MBBL6 reveals close phylogenetic relationship with other P. pentosaceus strains

The average nucleotide identity (ANI) of the MBBL6 genome was evaluated against nineteen other closely related genomes (S1 Table) available in the NCBI database. The ANIclustermap of these genomes revealed that all P. pentosaceus strains share at least 98% similarity with the MBBL6 strain (S1 Fig). For instance, P. pentosaceus MBBL4 exhibited higher ANI (99.5%) score with MBBL6 genome, followed by P. pentosaceus C2OK (98.6%), P. pentosaceus SRCM217654 (98.6%), and P. pentosaceus SPARC2 (98.6%). The ANI inferences were further supported by the findings from the phylogenetic analysis. The maximum-likelihood phylogenetic tree (Fig 2) revealed that P. pentosaceus strains MBBL4, DSPZPP1, and SRCM217654 were clustered in the same clade with our sequenced genome of MBBL6.

thumbnail
Fig 2. The evolutionary relationships between P. pentosaceus MBBL6 and 19 reference genomes of P. pentosaceus strains sequenced from four continents worldwide.

Whole genome sequences of 19 strains of P. pentosaceus isolated from milk of lactating mammals (cow and cat), fermented food products, environmental sample, human and animal gut, cow feces, shrimp, and uterus of healthy buffalo origin retrieved from the NCBI were used for phylogenetic analysis. The mid-point rooted tree was constructed using the NCBI Tree Viewer (https://www.ncbi.nlm.nih.gov/tools/treeviewer/, accessed: June 20, 2024), and visualized with iTOL (interactive tree of life, accessed: June 20, 2024). The evolutionary relationship was inferred using the maximum-likelihood method. Different colors (e.g., light blue for Asia, pale purple for Europe, light green for South America, and light pink for West Africa) are assigned according to the close evolutionary relatedness (clade) of the genomes. The values on the branches are bootstrap support values based on 1000 replications. The genome of the P. pentosaceus MBBL6 (JAZIFR000000000) is highlighted on red box.

https://doi.org/10.1371/journal.pone.0316270.g002

3.3 P. pentosaceus MBBL6 shares core functional orthogroups with other P. pentosaceus strains

A comparative genomic analysis was performed between MBBL6 and 19 closely related P. pentosaceus strains to identify genetic similarities and differences, validate phylogenetic relationships, and gain insights into the functional capabilities and potential adaptations of MBBL6. During homologous gene analysis of twenty P. pentosaceus strains, a total of 35,799 genes were identified. Of these, 35,211 genes (98.4%) were grouped into 2,423 orthogroups using OrthoFinder [43]. Within these orthogroups, MBBL6 was present in 1,728 (71.3%) orthogroups, with only one orthogroup specific to a particular species. Additionally, among these orthogroups, 1,223 were identified as core orthogroups, along with 1,200 accessory orthogroups (Fig 3A). Furthermore, out of the 1,223 core orthogroups analyzed, 972 genes (79.48%) were classified into 23 functional COG categories (Fig 3B). The most prevalent category among these core orthogroups was "J—translation, ribosomal structure, and biogenesis" (12.15%), while the least prevalent was "Z—cytoskeleton" (0.9%).

thumbnail
Fig 3.

(A) Upset plot comparing shared orthogroups among the 20 P. pentosaceus species. The box plot displays the distributions of mean orthogroup protein lengths. Blue bar plots represent the number of orthogroups with specific conservation patterns, with numbers provided above each bar. (B) The bar chart with different colors shows the functional categories of core orthogroups based on COG classification, using the Batch CD-Search server (https://structure.ncbi.nlm.nih.gov/Structure/bwrpsb/bwrpsb.cgi, accessed: June 20, 2024).

https://doi.org/10.1371/journal.pone.0316270.g003

3.4 P. pentosaceus MBBL6 exhibits minimal genomic discrepancy with reference genomes

For a comprehensive visualization of the coding sequences, the genome of MBBL6 was aligned with two strains of P. pentosaceus. In this analysis, MBBL6 genome showed high level of synteny with P. pentosaceus DSPZPP1 and SRCM217654 genomes (Fig 4A) isolated from traditional fermented sausages and cow feces, respectively. All three genomes shared a significant number of similarity regions. However, the genes were not found in the same positions and, in some instances, were placed in inverted positions within each chromosome. Additionally, some similarity regions were detected in only two of the three genomes. For example, the coral-colored region (position: 1011296) was found in both the MBBL6 genome (position: 1011296) and the SRCM217654 genome (position: 941585), but it was absent in the DSPZPP1 genome. The absence of such regions in some genomes suggests that even within the same species, significant genomic divergence can occur. In addition, a comparative visualization (Fig 4B) was performed using the BRIG tool with the four P. pentosaceus strains presented in the same clade in the phylogenetic tree (Fig 2). In the BRIG genome circle (Fig 4B), similarities between the genomes were displayed by the solid sections within circle, and variation was represented by the blank sections. The BRIG comparison of the genomic maps indicated minimal large-scale variation among the bacterial genome sequences. Despite this, a significant number of homologous regions were observed around the reference genome, showing more than 95% identity. The comparative results also demonstrated that the reference genome (P. pentosaceus SRCM217654) has an open reading frame but not in the other genomes, which may be correlated with variation in assembly quality [5].

thumbnail
Fig 4. Multiple genome alignment of P. pentosaceus strains.

(A) Multiple genome alignment of P. pentosaceus DSZPP1, P. pentosaceus MBBL6, and P. pentosaceus SRCM217654. Visualization of alignment is organized into one horizontal panel per genome sequence, with the label of the genome sequence name at the left of each panel. The homologous blocks are represented with the same color and are connected within the genome by lines. (B) Nucleotide alignments of four P. pentosaceus genomes, generated with the BLASTn with an e-value cut-off 1e-5 using BRIG 0.95. Circles (from inside to outside) 1 and 2 (GC content; black line and GC skew; purple and green lines), circle 3 (reference P. pentosaceus SRCM217654 genome; dark blue color), circle 4 (mapped P. pentosaceus DSPZPP1 genome; yellow color), circle 5 (mapped P. pentosaceus MBBL4 genome; cyan color), and circle 6 (mapped P. pentosaceus MBBL6 genome; magenta color).

https://doi.org/10.1371/journal.pone.0316270.g004

3.5 P. pentosaceus MBBL6 utilizes diverse metabolic pathways to facilitate adaptation and survival

We further performed pathway analysis to gain a comprehensive understanding of how MBBL6 utilizes nutrients, interacts with its environment, and potentially influences health or disease processes. In MBBL6, a total of 977 genes (52.31%) were assigned to KEGG pathways, categorized into 38 sub-categories within six major functional categories. Among these, the highest proportion of genes were assigned to carbohydrate metabolism (13.51%), followed by translation (8.09%), replication and repair (6.65%), and amino acid metabolism (6.55% (Fig 5A). For a better understanding, metabolic pathways related to carbohydrate, amino acid, lipid, and vitamin subcategories are illustrated in Fig 5B and 5C. By analyzing the KEGG metabolic pathways we found that MBBL6 genome contained complete set of genes for glucose (e.g., glk, gapA, gpmA, eno etc.), galactose (e.g., galM, galK, galT etc.) and pentose phosphate (e.g., pfkA, rbsK, prsA, rpiA etc.) metabolism pathways (S4 Table). Additionally, two lactose metabolism related genes lacZ (beta-galactosidase) and lacD (tagatose 1,6-diphosphate aldolase) were found in MBBL6 genome. The Leloir metabolic pathway related protein encoded genes, which are considered for the catabolism of D-galactose in uridine diphosphate (UDP) glucose, were also found in this genome; galM (aldose 1-epimerase), galK (galactokinase), galE (UDP-glucose 4-epimerase), and galT (UDP glucose—hexose-1-phosphate uridylyl-transferase). Further analysis revealed that the MBBL6 strain also contains genes involved in pyruvate metabolism (S4 Table). These genes enable the conversion of pyruvate to acetyl-CoA through the pyruvate dehydrogenase complex (pdhABCD), and subsequently to acetate via phosphate acetyltransferase (pta) and acetate kinase (ackA). In the presence of oxygen, pyruvate can alternatively be converted to carbon dioxide and diacetyl phosphate by pyruvate oxidase (poxL). Additionally, the MBBL6 genome includes the gene for acetate kinase (ackA), which facilitates the conversion of pyruvate to acetate. Although the genome lacks complete pathways for amino acid synthesis, it does contain the gene encoding aminopeptidase N (pepN) (S4 Table).

thumbnail
Fig 5. Metabolic functional potentials of the P. pentosaceus MBBL6 annotated through the Kyoto Encyclopedia of Genes and Genomes (KEGG).

(A) Detailed representation of the functional classes belonging to six main functional categories. Each functional category is represented by different colors as follows: Dark purple for metabolism, navy blue for genetic information processing, Ocean blue for environmental information processing, teal color for cellular processing, light green color for organismal systems, and yellow color for human diseases. (B) Subcategories of carbohydrate and amino acid metabolism are represented by cyan and blue color bar charts, respectively. (C) Subcategories of cofactors and vitamins metabolism, and lipid metabolism are represented by mint and purple color bar charts, respectively.

https://doi.org/10.1371/journal.pone.0316270.g005

In addition, the assembled genome of MBBL6 harbored several genes associated with probiotics, including those encoding heat shock and stress proteins (hsp20, groEL, dnak, recA, clpB, clpX, clpP), surface adhesion genes (ltaS, tuf, yidC), acid tolerant genes (atpABCDEFGH, celA, celB, celC), antioxidant genes (trxA, trxB, dapB, gor, zwf, gntZ, msrC), folic acid biosynthesis genes (folA, folC), and immune gene (metK). The clandestine proteins encoding gene such as gapA (glyceraldehyde-3-phosphate dehydrogenase), and surface-associated gene eno (enolase) were also identified in the MBBL6 genome. The probiotic-related genes, along with their KO IDs, predicted in the MBBL6 genome, can be found in S5 Table. Furthermore, annotation of the sequenced genome using the KEGG KAAS online server identified numerous genes involved in amino acid (alanine, glycine, serine, threonine, cysteine, valine, leucine, lysine, arginine, histidine, tyrosine, tryptophan, phenylalanine) and vitamin B-complex (thiamine, riboflavin, nicotinamide, pantothenic acid, pyridoxine, biotin, folate) biosynthesis (S5 Table). Further analysis revealed that the MBBL6 strain harbors several genes associated with vitamin B-complex biosynthesis. Notably, genes such as ribA/B/D/E/F/H, thiM, ybjI, nfrA1, ubiX etc. identified in MBBL6, were found to be involved in the riboflavin biosynthesis pathway (M00125) (Table 2, Fig 6).

thumbnail
Fig 6. Riboflavin biosynthesis pathways in P. pentosaceus MBBL6 genome.

The upper flowchart shows the riboflavin byosynthesis pathways (M00125) in MBBL6 genome in light green color with red line.

https://doi.org/10.1371/journal.pone.0316270.g006

thumbnail
Table 2. Genes involved in the biosynthesis of vitamin B2 (riboflavin) of P. pentosaceus MBBL6 genome.

https://doi.org/10.1371/journal.pone.0316270.t002

3.6 P. pentosaceus MBBL6 demonstrates capabilities for carbohydrate utilization and various enzymatic activities

The isolated MBBL6 strain demonstrated the ability to ferment several carbohydrates, including maltose, mannitol, mannose, sucrose, trehalose, and N-acetyl glucosamine (S2 Table). Enzymatic assays revealed positive activities for arginine utilization, urease production, and beta-glucosidase activity. Conversely, the strain tested negative for alkaline phosphatase, beta-glucuronidase, and beta-galactosidase activities. The Kligler Iron Agar (KIA) test showed a uniform yellow coloration in both the slant and butt, indicating acid production. Additionally, the strain was negative for indole production, methyl red reaction, Voges-Proskauer reaction, and citrate utilization (S2 Table). Furthermore, the MBBL6 genome was investigated against the CAZY database and forty-three genes were identified across four CAZymes classes, including glycosyltransferase (GT), glycoside hydrolase (GH), carbohydrate esterase (CE), and auxillary activity (AA) family (Fig 7). Among the major CAZymes classes, GT (20 genes) was identified as the most prevalent CAZymes family, followed by GH (18 genes), CE (4 genes), and AA (1 gene).

thumbnail
Fig 7. CAZymes distribution in P. pentosaceus MBBL6 genome.

CAZymes were assigned by searching against the CAZy database using the dbCAN webserver. Each CAZymes classes found in the genome are represented by different colors as follows: Green color for auxiliary active family, electric blue for glycosyl transferase family, pistachio color for glycoside hydrolase family, and amber color for carbohydrate esterase family. The rings represented (from the inner to outer rings) CAZyme classes, CAZyme families, and the number of genes identified in each family, respectively.

https://doi.org/10.1371/journal.pone.0316270.g007

3.7 P. pentosaceus MBBL6 possesses gene repertoire for key primary metabolic regions and secondary metabolites

Studying primary metabolic regions is crucial for understanding cellular function and energy production, while secondary metabolites, such as bacteriocins, play a significant role in developing natural antimicrobials, probiotics, and tailored formulations, thereby advancing food safety, health, agriculture, and ecological insights. Two primary metabolic regions (Fig 8A and 8B, S6 Table) and secondary metabolite regions (Fig 8C and 8D, S6 Table) were identified within the genome of MBBL6 through the gutSMASH [50] and antiSMASH [51] server, respectively. The primary metabolic gene clusters in the MBBL6 genome, such as arginine2_hcarbonate and gallic_acid_met (gallic acid metabolism), exhibited exact similarity (100%) with arginine to hydrogen carbonate in P. aeruginosa and gallic acid degradation in Blautia sp. KLE, respectively. Furthermore, gallic acid metabolism region and its metabolism related enzyme (gallate decarboxylase) encoding genes lpdB (gene-V4W90_RS06850; K22959), lpdC (gene-V4W90_RS06855; K22959), and lpdD (gene-V4W90_RS06845; K22960) were also detected in MBBL6 genome. The secondary metabolite Type III polyketide synthases (T3PKS) in MBBL6 were found to share similarities with two known gene clusters from MIBiG 3.1: fusaricidin B (25% similarity) and xantholipin (4% similarity). The RiPP-like secondary metabolite region in MBBL6 possessed a core biosynthetic gene for a class II bacteriocin, but no similar known gene clusters were identified.

thumbnail
Fig 8.

Overview of the primary metabolic (A, B) and secondary metabolites (C, D) biosynthesis gene clusters in P. pentosaceus MBBL6 genome. (A) Arginine to hydrogen carbonate (Arginine2_Hcarbonate) metabolism, (B) Gallic acid metabolism (Gallic_acid_met), (C) Type III polyketide synthases (T3PKS) and (D) Ribosomally synthesized and post-translationally modified peptide (RiPP)-like regions. Different colors represent genes involved in different functions: Red color for core biosynthesis genes, dark pink color for additional biosynthesis genes, sky blue color for transport-related genes, dark green color for regulatory genes, hot magenta for resistant genes, amber for encapsulation genes, golden brown for electron transport genes, and gray color for other genes.

https://doi.org/10.1371/journal.pone.0316270.g008

Genome analysis for bacteriocin biosynthetic gene clusters (BBGC) using BAGEL4 [68] web server identified two BBCG regions in the contig 9 (NZ_JAZIFR0100000091.9.AOI_01; 1–13687) and 12 (NZ_JAZIFR0100000081.12.AOI_01; 31718–51868) of the MBBL6 genome (Fig 9). In the NZ_JAZIFR0100000091.9.AOI_01 region (contig 9), we identified a single core peptide known as bovicin_255_variant (Fig 9A), whereas two core peptides (penocin_A) were identified in contig 12 (NZ_JAZIFR0100000081.12.AOI_01) region (Fig 9B). NCBI protein blast confirmed that penocin_A and bovicin_255_variant showed 100% identity with class II bacteriocin and garvicin Q family class II bacteriocin, respectively. Moreover, both regions feature a single enterocin A immunity protein (entA_immun; PF08951) for bacteriocin immunity protein.

thumbnail
Fig 9. Overview of bacteriocin producing gene cassettes in P. pentosaceus MBBL6 genome.

(A) bovicin 255 variant, and (B) penocin A gene clusters. Interestingly, the immunity/transport gene or protein enterocin A immunity (entA_immun) is present just right to the bacteriocin cassette.

https://doi.org/10.1371/journal.pone.0316270.g009

3.8 In-vitro and genomic analyses suggest the safe use of P. pentosaceus MBBL6 as a probiotic

In-vitro and genomic analyses suggest that MBBL6 is safe as a probiotic, with minimal resistance and no virulence traits. The antibiotic susceptibility test (AST) profile revealed that the MBBL6 isolate was susceptible to the majority (80.0%) of the tested antibiotics, including amikacin, gentamicin, cefepime, ceftriaxone, cefuroxime sodium, imipenem, meropenem, and ciprofloxacin. In contrast, the isolate exhibited resistance to only two antibiotics i.e., nalidixic acid and azithromycin (S7 Table). Additionally, genome annotation revealed the presence of only two genes associated with antibiotic resistance (ARGs) namely lnu(A) and erm(B) in MBBL6 using ResFinder 4.0, suggesting resistance against lincosamide, macrolide and streptogramin (S8 Table), and no virulent genes were detected. According to the PathogenFinder [69], which assesses pathogenicity, MBBL6 received a score of 0.196 and aligned with 121 non-pathogenic bacterial families, suggesting that it is unlikely to be a human or animal pathogen. Furthermore, when cultured on blood agar supplemented with 5% sheep blood, the MBBL6 strain exhibited Gamma hemolysis (γ), indicating that it does not cause red blood cell lysis under these conditions (S2 Fig). Mobile genetic elements (MGEs), such as prophages, phages, CRISPR systems and plasmids are segments of bacterial DNA that play crucial roles in bacterial evolution, adaptation, and virulence [70,71]. In the MBBL6 genome, four prophage regions were identified including two intact phages, one incomplete phage, and one questionable phage by the PHASTEST web tool (S3 Fig). Detailed information about the phage regions is provided in S9 Table. Additionally, 32 insertion sequences (IS) were identified in the MBBL6 genome, originating from various genera such as L. monocytogenes (Ismo16), E. coli (ISEc66), Mycobacterium bovis (ISMbov2), Lactococcus garvieae (ISLgar1), and Lactobacillus salivarius (ISLasa2). Moreover, three CRISPR regions were identified, but no Cas proteins were detected in the MBBL6 genome, as analyzed using the CRISPRcasFinder [58] online server (S10 Table).

3.9 P. pentosaceus MBBL6 exhibits potential antimicrobial efficacy against mastitis pathogens in-vitro and in-vivo

Our studied strain MBBL6 demonstrates noteworthy antimicrobial activities against two major pathogens namely S. aureus D4C4 and E. coli G1C5 of bovine mastitis. This was assessed using both in-vitro and in-vivo assays. The in-vitro agar well diffusion technique revealed inhibition zones of 18 mm for S. aureus D4C4 and 21 mm for E. coli G1C5. These results indicate a substantial inhibitory effect of the MBBL6 isolate against these pathogens. The effectiveness of MBBL6 was further validated in a mouse mastitis model, where it demonstrated notable efficacy in reducing symptoms and controlling infection caused by S. aureus D4C4 and E. coli G1C5 (S4A and S4B Fig). The potential of MBBL6 as a therapeutic candidate was confirmed through its significant antimicrobial activity observed in the in-vivo model (S4C–S4E Fig). In histopathological examination, mastitis induced mice treated with MBBl6 (Group I) showed no pathological changes in their mammary glands (S4C–S4E Fig) and revealed normal epithelial texture in the mammary glands (S4H Fig) and colon tissues (S4K Fig). In contrast, the untreated mastitis-induced mice in the control group (Group II, S4F Fig) exhibited significant histopathological alterations in their mammary gland (S4G and S4I Fig) and colon (S4J and S4L Fig) tissues. These changes included broken lobules of the mammary gland, damaged acini, destroyed or degenerated epithelial cells, with inflammatory cells, including macrophages, neutrophils, and blood cells detected in the mammary lobule, supporting connective tissue and lining of the epithelium (S4G and S4I Fig). Furthermore, inflammatory changes in the colon tissues of the challenged mice included severe infiltration of inflammatory cells (e.g., macrophages, neutrophils, and blood cells) into mucosa and submucosa, degenerated mucosal structure (epithelial necrosis, extension of the subepithelial space, and structural damage of villi) (S4J and S4L Fig).

3.10 P. pentosaceus MBBL6 demonstrates potential antimicrobial efficacy against bovine mastitis pathogens in-silico

To investigate the inhibitory ability of MBBL6 against the bovine mastitis pathogens S. aureus D4C4 and E. coli G1C5, we conducted an in-depth core genomic analysis. Our core genomic analysis identified 56 shared proteins between two pathogens. Further investigation revealed that 26 of these proteins are essential for bacterial survival. Additionally, we identified two potential bacteriocins in MBBL6, bovicin 255 and penocin A. We hypothesized that these bacteriocins might interact with the common essential proteins, disrupting the pathogens’ survival mechanisms. This hypothesis was based on the observed inhibitory effects of MBBL6 both in-vitro and in-vivo. Screening of bacteriocins against the 26 common essential proteins revealed that bovicin strongly interacts with Rho proteins, which function as transcription termination factors (Fig 10A). A strong protein-protein interaction was observed between 12 amino acids of bovicin and 11 amino acids of the Rho protein (Fig 10B). These interactions are robust, leading to a rigid binding with the Rho protein and disrupting its function in transcription termination. A 200 ns simulation (MDS) demonstrated that the resulting protein-ligand complex is energetically favorable and stable, with an overall Root Mean Square Deviation (RMSD) value of up to 3.5 Å, compared to 4.5 Å (with higher fluctuation) for the Rho protein alone (Fig 10C). This indicates that the complex formation between bovicin and Rho results in energetically favorable interactions (Fig 10C and S1 File).

thumbnail
Fig 10. Interaction between bovicin and the Rho factor.

(A) Molecular screening revealed strong interactions between bovicin and the transcription termination factor Rho. (B) The interaction diagram shows the amino acids involved in the protein-protein interaction. (C) The Root Mean Square Deviation (RMSD) curve confirms the stability of the interaction between bovicin and the Rho factor.

https://doi.org/10.1371/journal.pone.0316270.g010

4. Discussion

Probiotics have been associated with a multitude of beneficial effects on host health, including their ability to positively modulate the gut microbiome and impart a wide range of health benefits [72]. P. pentosaceus is a bacterium well-known for its probiotic properties, and roles in improving gut health, antimicrobial production, and enhancing fermented food quality [5,6,73]. By whole genome sequencing and comprehensive analysis of P. pentosaceus MBBL6, a novel strain isolated from healthy cow milk, we provide data showing its potential as an agent of wide therapeutic applications, bioremediation, and biopreservation. The draft genome of MBBL6 measured 1.84 Mbp, with a genome coverage and GC content of 128.7x and 37.3%, respectively, consistent with previously sequenced P. pentosaceus genomes [15,16]. ANI analysis indicated that the MBBL6 genome clustered within the same branch as eight other strains when compared against nineteen strains of P. pentosaceus from the NCBI database. The high ANI values observed among all P. pentosaceus strains, including MBBL6, suggest limited genetic diversity and potential adaptability to diverse ecological niches [6,74]. The evolutionary analysis of 20 P. pentosaceus strains showed clustering of MBBL6 with P. pentosaceus strains MBBL4 (cow milk) [6], SRCM217654 (cow feces; NCBI accession: GCF_028656215.1), and DSPZPP1 (fermented sausages) [74], suggesting they are closely related. In this investigation, orthogroups containing all studied genomes are termed core orthogroups, while all other orthogroups are classified as accessory orthogroups. The genome of MBBL6 includes 1,728 homologous genes, which are primarily involved in essential maintenance functions crucial for the growth and survival of the species[15,16].

One of the hallmark findings of this study may be the identification of genes for probiotic traits such as heat shock, surface adhesion, acid tolerance, antioxidants, and an immune function related gene in MBBL6 genome. These genes are crucial for mitigating the pleiotropic effects of heat stress and play essential roles in the reconstitution and repair of damaged proteins [75]. The protein encoded genes groEL, groES, recA, dnaK, celA, celB, celC and clp complex, present in the MBBL6, are also protective for bacteria against acidic stress condition [76,77]. The generic stress response related genes (dnaK, groEL) play critical roles to regulate or restore cellular component functions in the cell by refolding chaperonin complexes capacity [78]. The probiotic organisms generally have good adhesion ability by which they can compete with pathogens for the host binding sites to element the pathogens [5,73]. Recently, it has been reported that the surface-associated protein elongation factor-Tu plays a role in gut immunity and homeostasis by binding to intestinal cells and inhibiting apoptosis [79]. Among the identified antioxidant genes in MBBL6 genome, thioredoxins encoding genes (trxA and trxB) play critical roles in defense against oxidative stress by regulating intracellular dithiol/disulfide equilibrium [80]. The gene encoding methionine sulfoxide reductase (msrC) restore the oxidized methionine residues [81], glutathione reductase (gor) regulate glutathione [82], and 6-phosphogluconate dehydrogenase (gntZ) produce NADPH, essential for protecting the cell against oxidative stress [83]. The metK gene detected in MBBL6 is associated with its immunity, particularly through DNA methylation and play a critical role in defense mechanisms against foreign DNA [84]. The draft genome of MBBL6 includes genes responsible for the biosynthesis of vitamins and amino acids, making it a robust candidate for probiotic use. Notably, it has a full set of genes for riboflavin biosynthesis, which can reduce gut inflammation through immunomodulation and help maintain gut microbiota homeostasis [85]. Riboflavin deficiency is linked to various health conditions, including migraines, anemia, cataracts, oxidative stress, diabetes mellitus, hypertension, and even cancer [86]. We detected two important lactose metabolism related genes lacZ and lacD in MBBL6 which can breakdown lactose into simpler sugar forms glucose and D-galactose. Lactose fermentation character is generally absent in naturally occurring Pediococcus spp. [87], contrasting with our findings. However, the lactose fermentation capacity observed in MBBL6 is consistent with recent research findings that have documented similar capabilities in other strains of P. pentosaceus isolated from diverse sources [15,16]. This underscores the variability within the species and strengthens the understanding of its metabolic versatility across different ecological niches [5,73]. Furthermore, the biochemical tests for MBBL6 showed that the strain can ferment several sugars, including maltose, mannitol, mannose, sucrose, trehalose, and N-acetyl glucosamine. It also has notable enzyme activities, such as arginine utilization, urease production, and beta-glucosidase activity. The Kligler Iron Agar (KIA) test indicated that MBBL6 can ferment both glucose and lactose, as evidenced by the yellow color in both the slant and butt [88]. Conversely, the negative results for alkaline phosphatase, beta-glucuronidase, beta-galactosidase, indole, methyl red, Voges-Proskauer, and citrate tests align with the typical biochemical profiles of Pediococcus species [3]. Another key finding of this study is the prediction of carbohydrate-active enzymes (CAZymes). Analysis of the MBBL6 genome revealed 43 CAZymes, categorized into GTs, GHs, CEs, and AAs classes, primarily involved in carbohydrate synthesis and hydrolysis during fermentation. CAZymes play a crucial role in carbohydrate biotransformation (from synthesis to metabolism) process that are essential for every life [89]. In the MBBL6 genome, GT2 and GT4 predominated among all GT classes (70%, 14 out of 20 GTs), involved in synthesizing sucrose, cellulose, chitin, and various glycosyltransferases [90]. The genome also harbors 13 different GH families, facilitating glycosidic bond cleavage in glucose, starch, sucrose, and other carbohydrates. Notably, genes encoding β-glucosidase (GH1), β-galactosidase (GH2), and α-glucosidase (GH13_31) were identified, crucial for lactose, sucrose, and oligosaccharide metabolism [91]. Lysozymes (GH25 and GH73), which serve as a primary defense against bacterial infections, were also identified in MBBL6 genome. These enzymes act as a catalyst for hydrolysis of the β-(1–4) linkages between N-acetylglucosamine and N-acetylmuramic acid residues in the peptidoglycan of bacterial cell walls, which have antimicrobial activity, especially against Gram-positive bacteria [92]. Lactose is a primary source of carbohydrate of the milk and milk derived foods which is also important for fermentation of dairy products. During fermentation, bacteria use lactose to form lactic acid and lower the pH which aids in food preservation by inhibition of food spoilage organisms [93].

Remarkably, MBBL6 harbors genetic regions responsible for gallic acid metabolism and associated genes, which are known for their diverse biological activities including biopreservation and potential health benefits [19,20]. These specific genes in MBBL6 facilitate the breakdown of gallic acid, enhancing its absorption and bioavailability in the host. This mechanism ultimately contributes to maximizing the therapeutic benefits of gallic acid and promoting better gut health. Furthermore, MBBL6 contains genes encoding secondary metabolites, including T3PKS for synthesizing polyketide compounds used in various drug formulations such as anti-cancer drugs, antibiotics, and cholesterol-lowering agents [94]. Furthermore, the RiPP-like region in MBBL6 is equipped with a core biosynthetic gene for class II bacteriocins, which contributes significantly to its broad-spectrum antimicrobial activity against pathogens [95]. A notable discovery of this study is the detection of bacteriocin-producing gene clusters, such as penocin A and bovicin_255, in the MBBL6 genome. Penocin A, a class II pediocin bacteriocin, exhibits broad-spectrum antimicrobial activity against pathogens namely Listeria, Enterococcus, and Clostridium species [10]. Additionally, bovicin is capable of inhibiting or killing the major bacterial pathogens causing bovine mastitis [96].

In terms of antibiotic susceptibility, MBBL6 was effective against most of the tested antibiotics, including amikacin, gentamicin, and imipenem, among others. However, it showed resistance to nalidixic acid and azithromycin. The MBBL6 genome contained only two ARGs, lnu(A) and erm(B), which are associated with resistance to lincosamides, macrolides, and streptogramins. The presence of these ARGs suggests MBBL6 may have reduced susceptibility to specific antibiotics. However, the practical impact depends on gene expression levels and the overall resistance profile of MBBL6 [15,97]. The absence of other important ARGs indicates it may remain susceptible to many antibiotics, making it a potential candidate for probiotics. The MBBL6 strain exhibited nontoxic γ-hemolysis activity (growth without a zone of hemolysis) when cultured on blood agar plates. Furthermore, no virulence genes were found, and the low pathogenicity score (0.196) indicates that the genome suggests non-pathogenic characteristics suitable for safe use in biological applications. MGEs like plasmids, prophages, and IS are vital as they can transfer ARGs and virulence genes between species, leading to the emergence of superbugs [98]. Although two linear plasmid regions, four phage regions, and three CRISPR regions were identified in the MBBL6 genome, no ARGs or virulence genes were detected within these regions, suggesting its safety as a promising probiotic. The antimicrobial efficacy of MBBL6 was also noteworthy. In laboratory tests, it inhibited the growth of S. aureus D4C4 and E. coli G1C5, both of which are major pathogens in bovine mastitis [99]. Recently, another strain of P. pentosaceus, ENM104, demonstrated probiotic potential through antimicrobial activity against P. aeruginosa, K. pneumoniae, and A. baumannii [11]. While this strain showed no efficacy against E. coli, our findings align with those of Zaghloul and Halfawy [13] and Thao et al. [12], who reported that various P. pentosaceus strains effectively inhibited E. coli, S. aureus, B. subtilis, K. pneumoniae, P. aeruginosa, and E. faecalis. The in-vivo tests through a mouse mastitis model demonstrated that P. pentosaceus MBBL6 effectively suppressed mastitis pathogens such as S. aureus D4C4 and E. coli G1C5, supporting its therapeutic potential. The strain exhibited significant antimicrobial activity, reducing infection severity and alleviating inflammation in the model. These results underscore the promising role of MBBL6 as a potential probiotic treatment for mastitis, further validating its efficacy observed in in-vitro studies.

One of the key findings of this study was the elucidation of a possible molecular mechanism by which the MBBL6 can inhibit the growth of S. aureus D4C4 and E. coli G1C5. Our analysis revealed that bovicin strongly interacts with the Rho factor, a protein involved in terminating transcription and essential for playing a critical role in regulating gene expression and ensuring proper RNA synthesis [100]. The binding of bovicin to these proteins suggests a potential mechanism by which MBBL6 exerts its inhibitory effects, potentially disrupting the transcription termination process and thereby hindering the survival and proliferation of S. aureus D4C4 and E. coli G1C5. This robust interaction between bovicin and Rho protein may be the primary reason behind the inhibitory effect, a discovery that we reported in our current investigation. These results suggest that MBBL6 could be considered as a promising candidate for safe use as probiotic or therapeutic agent for managing mastitis in lactating mammals and other biotechnological applications.

5. Conclusions

This study provides a comprehensive genomic analysis of the non-hemolytic P. pentosaceus MBBL6 strain, isolated from the milk of healthy cows, to evaluate its probiotic potential. The genome sequencing of MBBL6 uncovered a range of functional genes associated with stress tolerance, surface adhesion, immunity, antioxidant properties, carbohydrate utilization, and vitamin B biosynthesis. Notably, we identified important bacteriocin gene clusters, including those encoding bovicin 255 and penocin A, as well as gene clusters involved in secondary metabolite production and primary metabolic pathways, particularly those related to gallic acid metabolism. The genomic analysis revealed no transmissible antibiotic resistance genes or virulence factors in prophage or plasmids, highlighting the strain’s safety profile. Furthermore, MBBL6 showed susceptibility to various antibiotics in in-vitro tests, and effectively suppressed mastitis-causing pathogens (e.g., S. aureus and E. coli) both in in-vitro and in-vivo mouse mastitis model. Its bacteriocin, specifically bovicin, displayed the capability to interfere with crucial proteins such as the Rho factor in these pathogens in an in-silico core genomic experiment (S1 Graphical abstract). These findings underscore the strain’s robust antimicrobial potentials. Overall, P. pentosaceus MBBL6 emerges as a highly promising candidate for the development of innovative biotherapeutics for tackling mastitis in the dairy animals, biopreservation strategies, and bioremediation applications. The novel genomic insights gained from this study offer a valuable foundation for further research and application of this strain in various biotechnological and health-related fields.

Supporting information

S1 File. Molecular dynamic simulation of bacteriocin (bovicin) and Rho protein of mastitis causing pathogens (S. aureus D4C4 and E. coli G1C5).

https://doi.org/10.1371/journal.pone.0316270.s001

(MP4)

S1 Fig. Clustered heatmap of average nucleotide identity (ANI) values between the study strain (MBBL6) and 19 reference genomes of the P. pentosaceus.

The numbers represent the ANI values (%) between two genome sequences. The proposed species cut-off boundary is above 98%, demonstrating identity with these strains. Study genome is highlighted in red box.

https://doi.org/10.1371/journal.pone.0316270.s002

(TIFF)

S2 Fig. Growth of P. pentosaceus on blood agar with 5% (v/v) sheep blood (Gamma hemolysis).

https://doi.org/10.1371/journal.pone.0316270.s003

(TIF)

S3 Fig. Identification of prophage region of P. pentosaceus MBBL6 genome by PHASTEST.

The P. pentosaceus MBBL6 genome harbors two intact (faded green color), one incomplete (faded red color), and one questionable (light yellow color) prophage regions. Circles (from inside to outside) 1 and 2 (GC content and GC skew), circle 3 (phage regions), circles 4 and 5 (phage genes), and circles 6 and 7 (bacterial genes).

https://doi.org/10.1371/journal.pone.0316270.s004

(TIF)

S4 Fig. P. pentosaceus MBBL6 exhibited potential antimicrobial efficacy against bovine mastitis pathogens in in-vivo mouse mastitis model experiment.

Pathophysiological changes in the mammary glands and gut (colon) of mice after experimental challenge with two major pathogens (S. aureus D4C4 and E. coli G1C5) of bovine mastitis. The mice were challenged at Day 18 of their gestation. (A–B) Two groups of challenged mice. (C) Mouse with induced mastitis showing gross pathological changes in mammary glands (swollen, red and inflamed mammary glands) seven days after challenge. (D) P. pentosaceus MBBL6 treated mouse (at day 7 of treatment) showing mild inflammatory changes in the mammary glands. (E) P. pentosaceus MBBL6 treated mouse (at day 14 of treatment) showing no visible inflammatory changes in the mammary glands. (F) Mouse with induced mastitis receiving only placebo treatment (control). (G–L) Representative photomicrographs of mammary and colon tissues after haematoxylin and eosin (HE) staining. (G and I) The lesions in the mammary alveoli are characterized by a central area of necrosis, broken lobules, damaged acini and destroyed epithelial cells, with large numbers of inflammatory cells, predominantly neutrophils (dark bluish) and macrophages (red) in the mammary lobule, supporting connective tissue and lining of the epithelium. (H) Representative photomicrographs of healthy mammary gland showing no visible inflammatory changes in the epithelium and alveoli after HE staining. (J and L) Representative photomicrographs of colon (crypts, lamina propria, muscularis mucosae and submucosa) tissue after HE staining. Inflammatory changes include moderate to severe inflammatory cell infiltration into mucosa and submucosa, disorder in mucosal structure: Epithelial necrosis, extension of the subepithelial space, and structural damage of villi. (K) Representative photomicrographs of colon tissue of healthy mouse after HE staining where no inflammatory changes were observed. Inflammatory changes in the mammary glands of the mice are mouse are highlighted in purple arrows. Scale bars: 50 μm.

https://doi.org/10.1371/journal.pone.0316270.s005

(TIF)

S1 Table. BioSample ID, isolation source, and country of origin of 19 P. pentosaceus strains.

https://doi.org/10.1371/journal.pone.0316270.s006

(DOCX)

S2 Table. Carbohydrate fermentation and enzyme activities of the P. pentosaceus MBBL6 isolate.

https://doi.org/10.1371/journal.pone.0316270.s007

(DOCX)

S3 Table. Prediction of RNAs in P. pentosaceus MBBL6.

https://doi.org/10.1371/journal.pone.0316270.s008

(DOCX)

S4 Table. Carbohydrate metabolism related protein encoding genes predicted in P. pentosaceus MBBL6.

https://doi.org/10.1371/journal.pone.0316270.s009

(DOCX)

S5 Table. Probiotic and vitamin B biosynthesis related genes predicted in P. pentosaceus MBBL6.

https://doi.org/10.1371/journal.pone.0316270.s010

(DOCX)

S6 Table. Prediction of primary metabolic and secondary metabolite biosynthesis gene clusters in P. pentosaceus MBBL6.

https://doi.org/10.1371/journal.pone.0316270.s011

(DOCX)

S7 Table. Antibiotic susceptibility results from culture plate: R = Resistance, S = Susceptible, I = intermediate AST results.

The third column in the right column represents zone of inhibition (ZoI).

https://doi.org/10.1371/journal.pone.0316270.s012

(DOCX)

S8 Table. Prediction of antibiotic resistance genes in P. pentosaceus MBBL6.

https://doi.org/10.1371/journal.pone.0316270.s013

(DOCX)

S9 Table. Details of prophage regions of P. pentosaceus MBBL6.

https://doi.org/10.1371/journal.pone.0316270.s014

(DOCX)

S10 Table. Prediction of CRISPER/Cas in P. pentosaceus MBBL6.

https://doi.org/10.1371/journal.pone.0316270.s015

(DOCX)

S1 Graphical abstract. Schematic representation of genomic and probiotic insights into Pediococcus pentosaceus MBBL6, isolated from healthy cow milk.

The study involved sequencing and annotating the genome of P. pentosaceus MBBL6 utilizing advanced bioinformatics tools to elucidate its metabolic pathways, carbohydrate-active enzymes, bacteriocin gene clusters, and secondary metabolite biosynthetic gene clusters. Antimicrobial susceptibility testing of MBBL6 was performed against mastitis-causing pathogens, including S. aureus and E. coli, through both in-vitro and in-vivo trials. Additionally, an in-silico analysis of the core genome was conducted to gain deeper insights into the possible molecular mechanisms by which P. pentosaceus MBBL6 inhibits the growth of these mastitis-causing pathogens. he results indicate P. pentosaceus MBBL6 is a promising probiotic and/or therapeutic agent for mastitis management and biotechnological applications.

https://doi.org/10.1371/journal.pone.0316270.s016

(TIFF)

Acknowledgments

The authors express their gratitude to Dr. Salma Akter, Associate Professor at the Department of Microbiology, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh, for her assistance with biochemical analysis.

References

  1. 1. Pagnini C, Saeed R, Bamias G, Arseneau KO, Pizarro TT, Cominelli F. Probiotics promote gut health through stimulation of epithelial innate immunity. Proceedings of the national academy of sciences. 2010;107(1):454–9. pmid:20018654
  2. 2. Cohen Kadosh K, Basso M, Knytl P, Johnstone N, Lau JY, Gibson GR. Psychobiotic interventions for anxiety in young people: a systematic review and meta-analysis, with youth consultation. Translational psychiatry. 2021;11(1):352. pmid:34131108
  3. 3. Taye Y, Degu T, Fesseha H, Mathewos M. Isolation and identification of lactic acid bacteria from cow milk and milk products. The Scientific World Journal. 2021;2021(1):4697445. pmid:34421398
  4. 4. Leuschner RG, Robinson TP, Hugas M, Cocconcelli PS, Richard-Forget F, Klein G, et al. Qualified presumption of safety (QPS): a generic risk assessment approach for biological agents notified to the European Food Safety Authority (EFSA). Trends in Food Science & Technology. 2010;21(9):425–35.
  5. 5. Wang L, Liu Q, Chen Y, Zheng X, Wang C, Qi Y, et al. Antioxidant potential of Pediococcus pentosaceus strains from the sow milk bacterial collection in weaned piglets. Microbiome. 2022;10(1):83. pmid:35650642
  6. 6. Rahman MM, Siddique N, Akter S, Das ZC, Hoque MN. Draft genome sequencing of Pediococcus pentosaceus strains isolated from cow milk. Microbiology Resource Announcements. 2024;13(5):e00238–24. pmid:38619270
  7. 7. Lv L-X, Li Y-D, Hu X-J, Shi H-Y, Li L-J. Whole-genome sequence assembly of Pediococcus pentosaceus LI05 (CGMCC 7049) from the human gastrointestinal tract and comparative analysis with representative sequences from three food-borne strains. Gut pathogens. 2014;6:1–9.
  8. 8. Goh YJ, Klaenhammer TR. Functional roles of aggregation-promoting-like factor in stress tolerance and adherence of Lactobacillus acidophilus NCFM. Applied and environmental microbiology. 2010;76(15):5005–12. pmid:20562289
  9. 9. Kuniyoshi TM, O’Connor PM, Lawton E, Thapa D, Mesa-Pereira B, Abulu S, et al. An oxidation resistant pediocin PA-1 derivative and penocin A display effective anti-Listeria activity in a model human gut environment. Gut Microbes. 2022;14(1):2004071. pmid:35104196
  10. 10. Diep DB, Godager L, Brede D, Nes IF. Data mining and characterization of a novel pediocin-like bacteriocin system from the genome of Pediococcus pentosaceus ATCC 25745. Microbiology. 2006;152(6):1649–59. pmid:16735728
  11. 11. Kompramool S, Singkhamanan K, Pomwised R, Chaichana N, Suwannasin S, Wonglapsuwan M, et al. Genomic Insights into Pediococcus pentosaceus ENM104: A Probiotic with Potential Antimicrobial and Cholesterol-Reducing Properties. Antibiotics. 2024;13(9):813. pmid:39334988
  12. 12. Thao TTP, Lan TTP, Phuong TV, Truong HTH, Khoo KS, Manickam S, et al. Characterization halotolerant lactic acid bacteria Pediococcus pentosaceus HN10 and in vivo evaluation for bacterial pathogens inhibition. Chemical Engineering and Processing-Process Intensification. 2021;168:108576.
  13. 13. Zaghloul EH, Halfawy NME. Marine Pediococcus pentosaceus E3 Probiotic Properties, Whole-Genome Sequence Analysis, and Safety Assessment. Probiotics and Antimicrobial Proteins. 2024:1–12.
  14. 14. de Souza de Azevedo PO, Mendonça CMN, Moreno ACR, Bueno AVI, de Almeida SRY, Seibert L, et al. Antibacterial and antifungal activity of crude and freeze-dried bacteriocin-like inhibitory substance produced by Pediococcus pentosaceus. Scientific Reports. 2020;10(1):12291. pmid:32704020
  15. 15. Lu K, Wang X, Zhou Y, Zhu Q. Genomic characterization and probiotic potential assessment of an exopolysaccharide-producing strain Pediococcus pentosaceus LL-07 isolated from fermented meat. BMC microbiology. 2024;24(1):1–17.
  16. 16. Oliveira FS, da Silva Rodrigues R, De Carvalho AF, Nero LA. Genomic analyses of Pediococcus pentosaceus ST65ACC, a bacteriocinogenic strain isolated from artisanal raw-milk cheese. Probiotics and Antimicrobial Proteins. 2023;15(3):630–45. pmid:34984631
  17. 17. Zommiti M, Bouffartigues E, Maillot O, Barreau M, Szunerits S, Sebei K, et al. In vitro assessment of the probiotic properties and bacteriocinogenic potential of Pediococcus pentosaceus MZF16 isolated from artisanal Tunisian meat “Dried Ossban”. Frontiers in microbiology. 2018;9:2607. pmid:30473681
  18. 18. Xiang Z, Guan H, Zhao X, Xie Q, Xie Z, Cai F, et al. Dietary gallic acid as an antioxidant: A review of its food industry applications, health benefits, bioavailability, nano-delivery systems, and drug interactions. Food Research International. 2024:114068. pmid:38395544
  19. 19. Yang K, Zhang L, Liao P, Xiao Z, Zhang F, Sindaye D, et al. Impact of gallic acid on gut health: focus on the gut microbiome, immune response, and mechanisms of action. Frontiers in immunology. 2020;11:580208. pmid:33042163
  20. 20. Kahkeshani N, Farzaei F, Fotouhi M, Alavi SS, Bahramsoltani R, Naseri R, et al. Pharmacological effects of gallic acid in health and diseases: A mechanistic review. Iranian journal of basic medical sciences. 2019;22(3):225. pmid:31156781
  21. 21. de Souza EL, de Albuquerque TMR, Dos Santos AS, Massa NML, de Brito Alves JL. Potential interactions among phenolic compounds and probiotics for mutual boosting of their health-promoting properties and food functionalities–A review. Critical reviews in food science and nutrition. 2019;59(10):1645–59. pmid:29377718
  22. 22. Hoque MN, Faisal GM, Jerin S, Moyna Z, Islam MA, Talukder AK, et al. Unveiling distinct genetic features in multidrug-resistant Escherichia coli isolated from mammary tissue and gut of mastitis induced mice. Heliyon. 2024;10(5).
  23. 23. Hoque MN, Faisal GM, Das ZC, Sakif TI, Al Mahtab M, Hossain MA, Islam T. Genomic features and pathophysiological impact of a multidrug-resistant Staphylococcus warneri variant in murine mastitis. Microbes and Infection. 2024;26(3):105285. pmid:38154518
  24. 24. Ng PC, Kirkness EF. Whole genome sequencing. Genetic variation: Methods and protocols. 2010:215–26. pmid:20238084
  25. 25. Hoque MN, Das ZC, Talukder AK, Alam MS, Rahman ANMA. Different screening tests and milk somatic cell count for the prevalence of subclinical bovine mastitis in Bangladesh. Tropical animal health and production. 2015;47:79–86. pmid:25326717
  26. 26. Kumaran D, Laflamme C, Ramirez-Arcos S. A multiphasic approach to solve misidentification of Cutibacterium acnes as Atopobium vaginae during routine bacterial screening of platelet concentrates using the VITEK 2 system. Access Microbiology. 2023;5(6):000539. v3. pmid:37424557
  27. 27. García Alegría A, Anduro Corona I, Perez Martinez C, Corella M, Rascón-Durán M, Garcia H. Quantification of DNA through the NanoDrop Spectrophotometer: Methodological Validation Using Standard Reference Material and Sprague Dawley Rat and Human DNA. International Journal of Analytical Chemistry. 2020;2020:1–9. pmid:33312204
  28. 28. Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30(15):2114–20. pmid:24695404
  29. 29. Andrews S. FastQC: a quality control tool for high throughput sequence data. 2010. 2017.
  30. 30. Hoque MN, Jerin S, Faisal GM, Das ZC, Islam T, Rahman ANMA. Whole-Genome Sequence of Multidrug-Resistant Escherichia coli Strains Isolated from Mice with Mastitis. Microbiology Resource Announcements. 2023:e00320–23. pmid:37314348
  31. 31. Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, et al. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. Journal of computational biology. 2012;19(5):455–77. pmid:22506599
  32. 32. Tatusova T, DiCuccio M, Badretdin A, Chetvernin V, Nawrocki EP, Zaslavsky L, et al. NCBI prokaryotic genome annotation pipeline. Nucleic acids research. 2016;44(14):6614–24. pmid:27342282
  33. 33. Parks DH, Imelfort M, Skennerton CT, Hugenholtz P, Tyson GW. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome research. 2015;25(7):1043–55. pmid:25977477
  34. 34. Overbeek R, Olson R, Pusch GD, Olsen GJ, Davis JJ, Disz T, et al. The SEED and the Rapid Annotation of microbial genomes using Subsystems Technology (RAST). Nucleic acids research. 2014;42(D1):D206–D14. pmid:24293654
  35. 35. Chan PP, Lowe TM. tRNAscan-SE: searching for tRNA genes in genomic sequences: Springer; 2019.
  36. 36. Carattoli A, Zankari E, García-Fernández A, Voldby Larsen M, Lund O, Villa L, et al. In silico detection and typing of plasmids using PlasmidFinder and plasmid multilocus sequence typing. Antimicrobial agents and chemotherapy. 2014;58(7):3895–903. pmid:24777092
  37. 37. Aziz RK, Bartels D, Best AA, DeJongh M, Disz T, Edwards RA, et al. The RAST Server: rapid annotations using subsystems technology. BMC genomics. 2008;9:1–15.
  38. 38. Kanehisa M, Sato Y, Morishima K. BlastKOALA and GhostKOALA: KEGG tools for functional characterization of genome and metagenome sequences. Journal of molecular biology. 2016;428(4):726–31. pmid:26585406
  39. 39. Shimoyama Y. ANIclustermap: A tool for drawing ANI clustermap between all‐vs‐all microbial genomes. 2022.
  40. 40. Edgar RC. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic acids research. 2004;32(5):1792–7. pmid:15034147
  41. 41. Guindon S, Dufayard J-F, Lefort V, Anisimova M, Hordijk W, Gascuel O. New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0. Systematic biology. 2010;59(3):307–21. pmid:20525638
  42. 42. Letunic I, Bork P. Interactive Tree of Life (iTOL) v6: recent updates to the phylogenetic tree display and annotation tool. Nucleic Acids Research. 2024:gkae268.
  43. 43. Emms DM, Kelly S. OrthoFinder: solving fundamental biases in whole genome comparisons dramatically improves orthogroup inference accuracy. Genome biology. 2015;16:1–14.
  44. 44. Conway JR, Lex A, Gehlenborg N. UpSetR: an R package for the visualization of intersecting sets and their properties. Bioinformatics. 2017;33(18):2938–40. pmid:28645171
  45. 45. Tatusov RL, Galperin MY, Natale DA, Koonin EV. The COG database: a tool for genome-scale analysis of protein functions and evolution. Nucleic acids research. 2000;28(1):33–6. pmid:10592175
  46. 46. Darling AE, Mau B, Perna NT. progressiveMauve: multiple genome alignment with gene gain, loss and rearrangement. PloS one. 2010;5(6):e11147. pmid:20593022
  47. 47. Alikhan N-F, Petty NK, Ben Zakour NL, Beatson SA. BLAST Ring Image Generator (BRIG): simple prokaryote genome comparisons. BMC genomics. 2011;12:1–10. pmid:21824423
  48. 48. Jung SH, Park JW, Cho IJ, Lee NK, Yeo I-C, Kim BY, et al. Characterization of lactic acid bacteria isolated from sauce-type kimchi. Preventive nutrition and food science. 2012;17(3):217. pmid:24471087
  49. 49. Finn RD, Clements J, Eddy SR. HMMER web server: interactive sequence similarity searching. Nucleic acids research. 2011;39(suppl_2):W29–W37. pmid:21593126
  50. 50. Pascal Andreu V, Roel-Touris J, Dodd D, Fischbach MA, Medema MH. The gutSMASH web server: automated identification of primary metabolic gene clusters from the gut microbiota. Nucleic acids research. 2021;49(W1):W263–W70.
  51. 51. Blin K, Shaw S, Augustijn HE, Reitz ZL, Biermann F, Alanjary M, et al. antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures and visualisation. Nucleic acids research. 2023;51(W1):W46–W50.
  52. 52. Tang D, Chen M, Huang X, Zhang G, Zeng L, Zhang G, et al. SRplot: A free online platform for data visualization and graphing. PLoS One. 2023;18(11):e0294236. pmid:37943830
  53. 53. Rai S, Dash D, Agarwal N. Introducing the new face of CLSI M100 in 2023: An explanatory review. Indian Journal of Medical Microbiology. 2023;46:100432. pmid:37945125
  54. 54. Bortolaia V, Kaas RS, Ruppe E, Roberts MC, Schwarz S, Cattoir V, et al. ResFinder 4.0 for predictions of phenotypes from genotypes. Journal of Antimicrobial Chemotherapy. 2020;75(12):3491–500. pmid:32780112
  55. 55. Liu B, Zheng D, Zhou S, Chen L, Yang J. VFDB 2022: a general classification scheme for bacterial virulence factors. Nucleic acids research. 2022;50(D1):D912–D7. pmid:34850947
  56. 56. Oh YJ, Jung DS. Evaluation of probiotic properties of Lactobacillus and Pediococcus strains isolated from Omegisool, a traditionally fermented millet alcoholic beverage in Korea. LWT-food Science and Technology. 2015;63(1):437–44.
  57. 57. Wishart DS, Han S, Saha S, Oler E, Peters H, Grant JR, et al. PHASTEST: faster than PHASTER, better than PHAST. Nucleic Acids Research. 2023;51(W1):W443–W50. pmid:37194694
  58. 58. Couvin D, Bernheim A, Toffano-Nioche C, Touchon M, Michalik J, Néron B, et al. CRISPRCasFinder, an update of CRISRFinder, includes a portable version, enhanced performance and integrates search for Cas proteins. Nucleic acids research. 2018;46(W1):W246–W51. pmid:29790974
  59. 59. Siguier P, Pérochon J, Lestrade L, Mahillon J, Chandler M. ISfinder: the reference centre for bacterial insertion sequences. Nucleic acids research. 2006;34(suppl_1):D32–D6. pmid:16381877
  60. 60. Anjana a Tiwari SK. Bacteriocin-producing probiotic lactic acid bacteria in controlling dysbiosis of the gut microbiota. Frontiers in Cellular and Infection Microbiology. 2022;12:851140. pmid:35651753
  61. 61. El Oirdi S, Lakhlifi T, Bahar AA, Yatim M, Rachid Z, Belhaj A. Isolation and identification of Lactobacillus plantarum 4F, a strain with high antifungal activity, fungicidal effect, and biopreservation properties of food. Journal of Food Processing and Preservation. 2021;45(6):e15517.
  62. 62. Hoque MN, Rahman MS, Islam T, Sultana M, Crandall KA, Hossain MA. Induction of mastitis by cow-to-mouse fecal and milk microbiota transplantation causes microbiome dysbiosis and genomic functional perturbation in mice. Animal microbiome. 2022;4(1):43. pmid:35794639
  63. 63. Camperio C, Armas F, Biasibetti E, Frassanito P, Giovannelli C, Spuria L, et al. A mouse mastitis model to study the effects of the intramammary infusion of a food-grade Lactococcus lactis strain. PloS one. 2017;12(9):e0184218. pmid:28873396
  64. 64. Underwood W, Anthony R. AVMA guidelines for the euthanasia of animals: 2020 edition. Retrieved on March. 2020;2013(30):2020–1.
  65. 65. Hasnat S, Hoque MN, Mahbub MM, Sakif TI, Shahinuzzaman A, Islam T. Pantothenate Kinase: A Promising Therapeutic Target Against Pathogenic Clostridium Species. Heliyon. 2024. pmid:39130480
  66. 66. Mahram A, Herbordt MC. NCBI BLASTP on high-performance reconfigurable computing systems. ACM Transactions on Reconfigurable Technology and Systems (TRETS). 2015;7(4):1–20.
  67. 67. Bhachoo J, Beuming T. Investigating protein–peptide interactions using the Schrödinger computational suite. Modeling peptide-protein interactions: methods and protocols. 2017:235–54.
  68. 68. van Heel AJ, de Jong A, Song C, Viel JH, Kok J, Kuipers OP. BAGEL4: a user-friendly web server to thoroughly mine RiPPs and bacteriocins. Nucleic acids research. 2018;46(W1):W278–W81. pmid:29788290
  69. 69. Cosentino S, Voldby Larsen M, Møller Aarestrup F, Lund O. PathogenFinder-distinguishing friend from foe using bacterial whole genome sequence data. PloS one. 2013;8(10):e77302. pmid:24204795
  70. 70. Canchaya C, Fournous G, Brüssow H. The impact of prophages on bacterial chromosomes. Molecular microbiology. 2004;53(1):9–18. pmid:15225299
  71. 71. Howard-Varona C, Hargreaves KR, Abedon ST, Sullivan MB. Lysogeny in nature: mechanisms, impact and ecology of temperate phages. The ISME journal. 2017;11(7):1511–20. pmid:28291233
  72. 72. Spencer CN, McQuade JL, Gopalakrishnan V, McCulloch JA, Vetizou M, Cogdill AP, et al. Dietary fiber and probiotics influence the gut microbiome and melanoma immunotherapy response. Science. 2021;374(6575):1632–40. pmid:34941392
  73. 73. Porto MCW, Kuniyoshi TM, Azevedo P, Vitolo M, Oliveira RS. Pediococcus spp.: An important genus of lactic acid bacteria and pediocin producers. Biotechnology Advances. 2017;35(3):361–74. pmid:28284993
  74. 74. Tathode MS, Bonomo MG, Zappavigna S, Mang SM, Bocchetti M, Camele I, et al. Whole-genome analysis suggesting probiotic potential and safety properties of Pediococcus pentosaceus DSPZPP1, a promising LAB strain isolated from traditional fermented sausages of the Basilicata region (Southern Italy). Frontiers in Microbiology. 2024;15:1268216. pmid:38638895
  75. 75. Papadimitriou K, Alegría Á, Bron PA, De Angelis M, Gobbetti M, Kleerebezem M, et al. Stress physiology of lactic acid bacteria. Microbiology and Molecular Biology Reviews. 2016;80(3):837–90. pmid:27466284
  76. 76. Soni R, Nanjani S, Keharia H. Genome analysis reveals probiotic propensities of Paenibacillus polymyxa HK4. Genomics. 2021;113(1):861–73. pmid:33096257
  77. 77. Xie G, Zhu Y, Zhong Z, Du Q, Wu Y, Xing K, et al. Functional genomic characterization unveils probiotic features of Bacillus cereus G1-11 isolated from the gut of the hybrid grouper (Epinephelus fuscoguttatus♀× E. lanceolatus♂). LWT. 2023;184:115088.
  78. 78. Baneyx F, Palumbo JL. Improving heterologous protein folding via molecular chaperone and foldase co-expression. E coli Gene Expression Protocols. 2003:171–97. pmid:12491886
  79. 79. Du Y, Li H, Xu W, Hu X, Wu T, Chen J. Cell surface-associated protein elongation factor Tu interacts with fibronectin mediating the adhesion of Lactobacillus plantarum HC-2 to Penaeus vannamei intestinal epithelium and inhibiting the apoptosis induced by LPS and pathogen in Caco-2 cells. International Journal of Biological Macromolecules. 2023;224:32–47. pmid:36442565
  80. 80. Averina OV, Poluektova EU, Marsova MV, Danilenko VN. Biomarkers and utility of the antioxidant potential of probiotic Lactobacilli and Bifidobacteria as representatives of the human gut microbiota. Biomedicines. 2021;9(10):1340. pmid:34680457
  81. 81. Kandasamy S, Yoo J, Yun J, Lee K-H, Kang H-B, Kim J-E, et al. Probiogenomic in-silico analysis and safety assessment of Lactiplantibacillus plantarum DJF10 strain isolated from Korean raw milk. International Journal of Molecular Sciences. 2022;23(22):14494. pmid:36430971
  82. 82. Liang M-H, Jiang J-G, Wang L, Zhu J. Transcriptomic insights into the heat stress response of Dunaliella bardawil. Enzyme and microbial technology. 2020;132:109436. pmid:31731954
  83. 83. Budak H, Ceylan H, Kocpinar EF, Gonul N, Erdogan O. Expression of glucose‐6‐phosphate dehydrogenase and 6‐phosphogluconate dehydrogenase in oxidative stress induced by long‐term iron toxicity in rat liver. Journal of biochemical and molecular toxicology. 2014;28(5):217–23. pmid:24599681
  84. 84. Rodionov DA, Vitreschak AG, Mironov AA, Gelfand MS. Comparative genomics of the methionine metabolism in Gram-positive bacteria: a variety of regulatory systems. Nucleic acids research. 2004;32(11):3340–53. pmid:15215334
  85. 85. Zhang W-W, Thakur K, Zhang J-G, Wei Z-J. Riboflavin ameliorates intestinal inflammation via immune modulation and alterations of gut microbiota homeostasis in DSS-colitis C57BL/6 mice. Food & Function. 2024;15(8):4109–21. pmid:38597225
  86. 86. Thakur K, Tomar SK, Singh AK, Mandal S, Arora S. Riboflavin and health: A review of recent human research. Critical reviews in food science and nutrition. 2017;57(17):3650–60. pmid:27029320
  87. 87. Semjonovs P, Zikmanis P. Evaluation of novel lactose-positive and exopolysaccharide-producing strain of Pediococcus pentosaceus for fermented foods. European Food Research and Technology. 2008;227:851–6.
  88. 88. Subhi SA, Risan MH, Al-Wattar WM. Collection, isolation and identification of pathogenic bacteria from Blood Clinical Specimens in Baghdad. European Journal of Biomedical and Pharmaceutical Sciences. 2017;4(12):1–8.
  89. 89. Chettri D, Verma AK. Biological significance of carbohydrate active enzymes and searching their inhibitors for therapeutic applications. Carbohydrate Research. 2023;529:108853. pmid:37235954
  90. 90. Breton C, Šnajdrová L, Jeanneau C, Koča J, Imberty A. Structures and mechanisms of glycosyltransferases. Glycobiology. 2006;16(2):29R–37R. pmid:16037492
  91. 91. Onyango SO, Juma J, De Paepe K, Van de Wiele T. Oral and gut microbial carbohydrate-active enzymes landscape in health and disease. Frontiers in Microbiology. 2021;12:653448. pmid:34956106
  92. 92. Khorshidian N, Khanniri E, Koushki MR, Sohrabvandi S, Yousefi M. An overview of antimicrobial activity of lysozyme and its functionality in cheese. Frontiers in nutrition. 2022;9:833618. pmid:35356735
  93. 93. Greer GG, Dilts BD. Lactic acid inhibition of the growth of spoilage bacteria and cold tolerant pathogens on pork. International Journal of Food Microbiology. 1995;25(2):141–51. pmid:7547145
  94. 94. Shimizu Y, Ogata H, Goto S. Type III polyketide synthases: functional classification and phylogenomics. ChemBioChem. 2017;18(1):50–65.
  95. 95. Darbandi A, Asadi A, Mahdizade Ari M, Ohadi E, Talebi M, Halaj Zadeh M, et al. Bacteriocins: Properties and potential use as antimicrobials. Journal of Clinical Laboratory Analysis. 2022;36(1):e24093. pmid:34851542
  96. 96. Godoy-Santos F, Pinto MS, Barbosa AA, Brito MA, Mantovani HC. Efficacy of a ruminal bacteriocin against pure and mixed cultures of bovine mastitis pathogens. Indian journal of microbiology. 2019;59:304–12. pmid:31388207
  97. 97. Fugaban JII, Vazquez Bucheli JE, Park YJ, Suh DH, Jung ES, Franco BDGdM, et al. Antimicrobial properties of Pediococcus acidilactici and Pediococcus pentosaceus isolated from silage. Journal of Applied Microbiology. 2022;132(1):311–30. pmid:34231288
  98. 98. Popa LI, Barbu IC, Chifiriuc MC. Mobile genetic elements involved in the horizontal transfer of antibiotic resistance genes. Romanian Archives of Microbiology & Immunology. 2018;77(4).
  99. 99. Hoque MN, Istiaq A, Clement RA, Gibson KM, Saha O, Islam OK, et al. Insights into the resistome of bovine clinical mastitis microbiome, a key factor in disease complication. Frontiers in Microbiology. 2020;11:860. pmid:32582039
  100. 100. Cardinale CJ, Washburn RS, Tadigotla VR, Brown LM, Gottesman ME, Nudler E. Termination factor Rho and its cofactors NusA and NusG silence foreign DNA in E. coli. Science. 2008;320(5878):935–8. pmid:18487194