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Data Report ARTICLE

Front. Pharmacol., 04 October 2019 | https://doi.org/10.3389/fphar.2019.01162

Molecular Phenotyping and Genomic Characterization of a Novel Neuroactive Bacterium Strain, Lactobacillus murinus HU-1

  • 1Graduate Program in Translational Biology, Medicine, and Health, Virginia Tech, Blacksburg, VA, United States
  • 2Department of Biomedical Sciences and Pathobiology, VA-MD College of Veterinary Medicine, Blacksburg, VA, United States
  • 3School of Neuroscience, Virginia Tech, Blacksburg, VA, United States
  • 4Center for Regenerative Medicine, VA-MD College of Veterinary Medicine, Blacksburg, VA, United States

Introduction

Over a century ago, Elie Metchnikoff observed unusual longevity among Bulgarian populations that consumed soured milk containing lactic acid bacteria (Metchnikoff and Mitchell, 1908). He theorized that the production of lactic acid by such bacteria prevented “intestinal putrefaction” and popularized the deliberate consumption of Lactobacilli-cultured milk for health purposes (Cavaillon and Legout, 2016). Since Metchnikoff’s time, the contributions of Lactobacilli to host health have been greatly expanded to include roles in immune homeostasis, production of key nutrients and vitamins, and even as a physical barrier against infection by pathogenic microorganisms (Macfarlane and Macfarlane, 2012). Recent investigations into the gut–brain axis revealed possible additional functions of lactic acid bacteria in regulating mood and cognition when ingested orally as a probiotic supplement. Indeed, many Lactobacillus sp. have been correlated with improved psychological outcomes, especially for neurodevelopmental, mood, stress, and anxiety disorders (Bravo et al., 2011; Buffington et al., 2016; Liu et al., 2019; Marotta et al., 2019; Sgritta et al., 2019).

While the neurological mechanisms behind probiotic consumption have yet to be fully understood, current evidence suggests Lactobacilli likely confer mental health benefits through both direct and indirect pathways, such as vagal nerve signaling and Treg regulation (Bravo et al., 2011; Wells, 2011). Gut bacterial production of known neurotransmitters, such as gamma-aminobutyric acid (GABA), serotonin, and glutamate (Lyte, 2011; Dienel, 2012; Steenbergen et al., 2015), as well as a newfound appreciation for neuroactive potential of common bacterial metabolites, such as lactate and short-chain fatty acids, further suggest additional pathways in which Lactobacilli may contribute to neurological health (Proia et al., 2016; Oleskin et al., 2017).

Previously, we reported neuroprotective effects of Lactobacillus murinus HU-1, a mutant strain isolated from mouse, in preventing development of premature senescence in cortical microglia and social behavior deficits in murine offspring reared under antibiotics-driven maternal microbiome dysbiosis (Lebovitz et al., 2019). A key component of a complete and diverse gut microbiome, L. murinus represents a commensal gut bacterium naturally found in the gut of healthy mammals, including rodents, dogs, pigs, and poultry (Kurzak et al., 1998; Greetham et al., 2002; Gardiner et al., 2004). Compared to other Lactobacilli, L. murinus is a relatively understudied species that only recently gained attention as a probiotic candidate, including potential applications regarding neonatal necrotizing enterocolitis (Isani et al., 2018), antimicrobial production (Nardi et al., 2005), pathogen antagonism (Vasconcelos et al., 2003), intestinal barrier function (Delucchi et al., 2017), food allergy (Huang et al., 2016), type 1 diabetes (Sane et al., 2018), hypertension (Wilck et al., 2017), age-associated inflammation (Pan et al., 2018), and bacterial translocation (Ma et al., 1990). Here, we characterize the genome of a novel strain, L. murinus HU-1, and profile its molecular features in an effort to better understand its influence on host physiology and neurobehavior.

Materials and Methods

Bacterial Isolation and Growth

Lactobacillus murinus HU-1 originally isolated from murine gut was maintained as frozen stock in 20% glycerol at −80 °C until needed. Frozen stock was directly cultured overnight in MRS broth or streaked onto MRS agar (Becton, Dickinson and Company, Franklin Lakes, NJ, USA) at 37 °C, as described (Kragh et al., 2018).

Animals

All mice were housed in an AAALAC accredited, virus/specific antigen-free facility with a 12 h light-dark cycle; food (Teklad 2918, Envigo, Huntingdon, UK) and water provided ad libitum. Outbred CD-1 IGS mice were purchased from Charles River (Strain code 022, Charles River Laboratories, Wilmington, MA, USA), and inbred B6.129P-Cx3cr1tm1Litt/J mice (Stock no. 005582) were purchased from Jackson Laboratory (Jackson Laboratory, Bar Harbor, ME, USA). Experimental CD-1 mice were administered a single oral dose of L. murinus HU-1 (109 CFU) and then maintained on an antibiotic cocktail of 0.4 mg/ml kanamycin, 850 U/ml colistin, 0.215 mg/ml metronidazole (Bio-World, Dublin, OH, USA), 0.035 mg/ml gentamicin (Vet One, Boise, ID, USA), and 0.045 mg/ml vancomycin (Hospira Inc., Lake Forest, 372 IL, USA) (ABXHU-1) or the above antibiotic cocktail with an addition of 0.5 mg/ml amoxicillin/clavulanic acid (Zoetis, Parsippany, NJ, USA) (ABXHU-1+AC). Antibiotics were administered via drinking water. All experiments were conducted in accordance with the NIH Guide for the Care and Use of Laboratory Animals and conducted under the approval of the Virginia Tech Institutional Animal Care and Use Committee (IACUC; #17-043).

Murine Fecal Bacteria Identification and Antibiotic Susceptibility

Fresh fecal pellets from mice were collected into sterile 1.5 ml microcentrifuge tubes and submitted to the Virginia-Maryland College of Veterinary Medicine’s Animal Laboratory Services for identification of culturable bacteria and to undergo antibiotics susceptibility testing. In brief, murine fecal pellets were immediately cultured on MacConkey and chocolate agar overnight. Colony formations were scored and identified using Bruker Microflex Biotyper 3.1 MALDI-TOF (Bruker Daltonics, Billerica, MA, USA). Additional colonies were collected from pure cultures of identified bacteria and subjected to antibiotics susceptibility testing using Sensititre™ Complete Automated AST System (Thermo Fisher Scientific Solutions LLC, Waltham, MA, USA) according to manufacturer’s instructions.

DNA Isolation and Whole Genome Sequencing

Genomic DNA was extracted and purified from L. murinus HU-1 isolates via kit (SKU D6010, Zymo Research, Irvine, CA, USA) and submitted to the Beijing Genomics Institute (Shenzhen, China) for whole genome re-sequencing. In brief, the genome was sequenced using an Illumina HiSeq 4000 system (Illumina, San Diego, CA, USA). Genomic DNA was sheared randomly to construct three read libraries with lengths of 300 bp by a Bioruptor ultrasonicator (Diagenode, Denville, NJ, USA) and physiochemical methods. The paired-end fragment libraries were sequenced according to manufacturer’s protocol. Raw reads of low quality from paired-end sequencing were discarded.

Genome Assembly, Annotation, and Genomic Features

Bioinformatic analyses on L. murinus HU-1 were performed using Pathosystems Resource Integration Center (PATRIC) Comprehensive Genome Analysis service (Wattam et al., 2017). In brief, raw sequenced reads were assembled using SPAdes. Assembled genome was then annotated using RAST tool kit (RASTtk). Specialty genes were determined by homology to those identified as drug targets in the DrugBank database (Law et al., 2014), transporters in the Transporters Classification Database (TCDB) (Saier et al., 2016), and virulence factors in the Virulence Factor Database (VFDB) (Chen et al., 2016). Antibiotic resistance genes, their functional annotation, mechanism of antibiotic resistance, and drug class were identified using the Comprehensive Antibiotic Resistance Database (McArthur et al., 2013) and a curated database of representative antibiotic resistance gene sequence variants available on PATRIC (Wattam et al., 2017). Subsystems analysis depicting biological processes or structural complexes of specific genes was based on SEED subsystems annotations (Overbeek et al., 2005). A comprehensive genome analysis was similarly performed for the representative strain, L. murinus ASF361 (SRR769344), to provide a basis for comparison.

Phylogenetic Tree of L. murinus Strains

Phylogenetic tree of L. murinus HU-1 and 10 publicly available L. murinus whole genome sequences [strains: ASF361 (representative strain), 510-9, CR141, CR147, DSM 20452 = NBRC 14221, EF-1, KM-1, UBA3408, UBA3411, UBA7190] was constructed using PATRIC codon tree method utilizing PATRIC PGFams as homology groups and analyzing aligned proteins and coding DNA from single-copy genes using the program RAxML version 8.2.11 and fast bootstrapping to provide support values in the tree (Davis et al., 2016).

Proteomic Analysis

Assessment of protein-coding genes in L. murinus HU-1 was constructed using the Protein Family Sorter Service (PATtyFams) tool in PATRIC. In brief, protein families were generated based on k-mer functional assignments using RAST and Markov Cluster algorithm (MCL) (Davis et al., 2016). PATRIC genus-specific families (PLfams) option was used to provide comparative assessment of protein families between L. murinus HU-1 and relevant strains due to the stringent criteria used (MCL inflation = 3.0), which allow for greater specificity when comparing genomes within the same species.

Results

Genomic Features of L. murinus HU-1

To ascertain whether Lactobacillus murinus HU-1 was a novel strain, we conducted whole genome sequencing and performed comprehensive genome analysis using PATRIC (Wattam et al., 2017). Genome assembly analysis estimated genome length to be 2,408,429 bp, average GC content of 39.84%, and 232 contigs. Taxonomy was confirmed as L. murinus. Annotated genome analysis revealed 2,597 protein coding sequences (CDS), 55 transfer RNA (tRNA) genes, and 4 ribosomal RNA (rRNA) genes. Of these, 875 represented hypothetical proteins and 1,722 proteins with functional assignments, including 535 with Enzyme Commission (EC) numbers, 441 with Gene Ontology (GO) assignments, and 355 mapped to KEGG pathways. Investigation of specialty genes resulted in 2 potential drug targets (Law et al., 2014), 2 transporter genes (Saier et al., 2016), 23 potential antibiotic resistance genes (McArthur et al., 2013; Wattam et al., 2017), and no known virulence factors (Chen et al., 2016). These genomic features are visualized in a circular graphic in Figure 1A.

FIGURE 1
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Figure 1 Comparative genomic characterization of novel strain, Lactobacillus murinus HU-1. (A–B) Circular graphic of novel strain, L. murinus HU-1, (A) and representative strain, L. murinus ASF361 (B). From outer to inner rings are: contigs, coding sequence (CDS) on the forward strand, CDS on the reverse strand, RNA genes, CDS with homology to known antimicrobial resistance genes, CDS with homology to known transporters, CDS with homology to known drug targets, GC content, and GC skew. (C–D) Pie charts indicating major subsystems and number of genes in each category for L. murinus HU-1 (C) and L. murinus ASF361 (D). L. murinus HU-1 contained additional energy- and cell envelope-related genes specific to central metabolism and cell wall synthesis, while the representative strain contained additional metabolism-related genes specific to biotin synthesis, NAD and NADP cofactor biosynthesis, and thiamin transport.

Comparison Against Representative Strain, L. murinus ASF361

Next, we conducted comparative genome analysis against the representative genome, L. murinus ASF361 (SRR769346) (“representative strain”). We determined L. murinus ASF361 to be the representative strain based on its inclusion as one of the eight microbes making up the Altered Schaedler Flora, a defined collection of gut bacteria deemed to be necessary for maintaining murine health, and thereby its endemic nature in most laboratory mice (Wymore Brand et al., 2015). Investigation of specialty genes in the representative strain revealed 1 potential drug target, 1 transporter gene, 22 potential antibiotic resistance genes, and no known virulence factors. The representative strain genomic features are visualized in Figure 1B.

The specialty genes expressed in the representative genome were also shared by L. murinus HU-1. Specifically, these included ptsH, which encodes a potential drug target, phosphocarrier protein, Hpr (Jia et al., 1993), and a copper transporter, tcrB (Hasman, 2005). Potential antibiotic resistance genes were broadly determined by PATRIC as any sequence variant whose presence/absence/mutation were related to antibiotic resistance and categorized according to the following mechanisms: antibiotic target in susceptible species (alr, ddl, EF-G, EF-Tu, folA, dfr, gyrA, gyrB, inhA, fabI, iso-tRNA, kasA, murA, rho, rpoB, rpoC, s10p, s12p); antibiotic target modifying enzyme (rlmA[II]); gene conferring resistance via absence (gidB); and protein altering cell wall charge conferring antibiotic resistance (mprF, pgsA) (Wattam et al., 2017). Notably, assessment of antibiotic resistance genes according to Comprehensive Antibiotic Resistance Database (CARD) identified only EF-Tu as a potential antibiotic resistance gene (McArthur et al., 2013). In addition to the specialty genes identified in the representative genome, L. murinus HU-1 differentially possessed a multiple sugar ABC transporter gene, msmG (Webb et al., 2008), a potential drug target related to galactose metabolism, lacG (Wiesmann et al., 1997), and an extra copy of the potential antibiotic resistance gene, inhA/fabI (Lu and Tonge, 2008).

Comparative Characterization of Subsystems Categories

Subsystems analysis of L. murinus HU-1 and the representative genome showed similar categorization of biological processes and pathways, including the majority of gene functions allocated to metabolism and protein processing (Figures 1C, D). L. murinus HU-1 genes included additional energy-related genes specific to dihydroxyacetone kinase (DhaK) with purported functional involvement in central metabolism (Erni et al., 2006), as well as a cell wall-related gene specific to dTDP-rhamnose synthesis (van der Beek et al., 2019). In contrast, the representative genome differentially included additional metabolism-related genes specific to biotin synthesis and utilization (Satiaputra et al., 2016), NAD and NADP cofactor biosynthesis (Gazzaniga et al., 2009), and thiamin transport (Rodionov et al., 2002).

Proteomic Assessment of L. murinus HU-1

To elucidate potential functional differences found in L. murinus HU-1 in comparison to the representative strain, we conducted comparative examination of the distribution of protein families in the two respective genomes via PATRIC genus-specific families (PLfams) (Davis et al., 2016). We observed the presence of 378 protein families in L. murinus HU-1 that were not identified in the representative genome; 259 of these were for hypothetical proteins. Of the attributed protein families only, approximately 51.5% were functionally related to phage-specific activities and the remaining protein families were distributed across mobile element protein, integrase, alcohol dehydrogenase, and beta-galactosidase activity (Figure 2A). The latter is a critical enzyme produced by infant gut bacteria and is a common feature of probiotic Bifidobacteria (Milani et al., 2017). Prophage proteins identified in this genome (Lp2 protein 4, Lp4 protein 7, ps1 protein 14, and ps3 protein 13) were previously found in other probiotic strains, L. reuteri, L. plantarum, and Lactococcus lactis (UniProt, 2019). Lp2 and Lp4 were considered non-inducible prophages, whereas ps1 and ps3 were predicted to be related to DNA packaging (Bolotin et al., 2001; Ventura et al., 2003). In contrast, we observed 163 protein families in the representative genome that were not identified in L. murinus HU-1, including 125 hypothetical proteins. Of the attributed protein families found in the representative strain only, approximately 30% were functionally related to gram positive anchor domain and the rest distributed across assorted activities (Figure 2B).

FIGURE 2
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Figure 2 L. murinus HU-1 maintains features distinct from other strains of L. murinus. (A) Attributed protein families identified in L. murinus HU-1 only that were not in the representative strain, L. murinus ASF361. Pie chart excludes hypothetical proteins, which were in the majority. (B) Attributed protein families identified in the representative strain only that were not in L. murinus HU-1, excluding hypothetical proteins. (C) Phylogenetic tree of L. murinus HU-1 compared to 10 other publicly available L. murinus strains on NCBI database. (D) Attributed protein families identified in L. murinus HU-1 that were not in the 10 other strains, excluding hypothetical proteins. (E) Only hypothetical proteins were found to be missing from L. murinus HU-1 compared to 10 other strains, but some of these proteins possessed hypothetical functional attributions.

Comparison Against Other Sequenced L. murinus Strains

Previously, we and others described L. murinus as phylogenetically closest to other probiotic strains, L. animalis and L. salivarius (Pan et al., 2018; Lebovitz et al., 2019). To contextualize L. murinus HU-1 within its subspecies, we constructed a phylogenetic tree using whole genomes of 10 publicly available L. murinus strains, including the representative strain (Figure 2C). The tree formed three main branches with L. murinus HU-1 clustering with the representative strain, albeit several nodes apart. Protein families analysis comparing L. murinus HU-1 to these other 10 genomes revealed that L. murinus HU-1 possessed 55 protein families not found in the other strains. The majority of these genes belonged to unattributed hypothetical proteins, although the second largest proportion of genes encoded for proteins relevant to phages (approximately 46%) while the rest belonged to ABC transporters, beta-lactamase binding protein, choline binding protein, and methyltransferases (Figure 2D). In contrast, L. murinus HU-1 was shown to be just missing 7 hypothetical protein families otherwise found in the 10 other strains. These were mostly of unattributed or unknown function, but several were purported to be related to a conserved domain protein or regulatory competence proteins (Figure 2E).

Assessment of Antibiotic Susceptibility of L. murinus HU-1

In support of the potential antibiotic resistance genes identified in the above genomic analysis, we isolated L. murinus from antibiotics-treated experimental and conventionally-raised CD-1 mice feces for antibiotic sensitivity testing via disk diffusion method. Only L. murinus could be isolated from experimental mice harboring L. murinus HU-1 (ABXHU-1) and these isolates exhibited antibiotic resistance to amikacin and gentamicin. Introducing amoxicillin/clavulanic acid to the antibiotic cocktail for two weeks (ABXHU-1+AC) still resulted in L. murinus growth, however, it no longer exhibited antibiotic resistance according to the disk diffusion assay (Supplemental Table 1). Meanwhile, native L. murinus isolates from conventionally-raised control mice did not exhibit antibiotic resistance. Interestingly, native L. murinus isolates from conventionally-raised B6.Cx3cr1 mice, which were a different strain and purchased from a different vendor than the CD-1 mice, exhibited widespread resistance to amikacin, cefazolin, chloramphenicol, clindamycin, erythromycin, gentamicin, and imipenem. Furthermore, cross-rearing conventional B6.Cx3cr1 offspring with conventional CD-1 mice resulted in L. murinus isolates that no longer maintained antibiotic resistance traits (Supplemental Table 1). Thus, L. murinus HU-1 isolated from experimental mouse feces exhibited antibiotic resistance as predicted in the genomic analysis, but this trait was malleable under additional antibiotic therapy and was not unique as native L. murinus found in conventionally-housed mice also exhibited antibiotic resistance from the outset.

Conclusion

Lactobacillus murinus represents a promising probiotic candidate with a wide range of potential health applications. Here, we sequenced and analyzed the whole genome of a novel strain, L. murinus HU-1, previously reported to confer neurodevelopmental benefits in a murine model of maternal microbiome dysbiosis. Notably, L. murinus HU-1 expressed genes specific to beta-galactosidase production, which may counteract the microglial accumulation of this enzyme typically found in neurological disease models of premature cellular senescence. Beta-galactosidase production is also a common trait of commensal bacteria found in the healthy infant gut, as it is a key enzyme for proper digestion of mammary milk. Compared to other publicly available L. murinus strains, L. murinus HU-1 shared important traits of probiotics, such as expression of genes related to bacteriocin activity and resistance to a variety of environmental stresses. However, L. murinus HU-1 uniquely expressed genes specific to prophage activity, potential antibiotic resistance, and select biological processes. The impact of phages in probiotic genomes remain a nascent area of study; some have been credited with enhanced fitness to the gastrointestinal niche while others are considered problematic for the fermentative dairy industry due to potential phage predation. As the phages identified in L. murinus HU-1 were not associated with virulence, it is possible that their presence may contribute to host health through yet unknown adaptive advantages. Additional study into L. murinus HU-1 interactions with the host, as well as detailed conditions for its growth and scalability, will be needed to demonstrate probiotic efficacy and safety in the future.

Data Availability Statement

This Whole Genome Shotgun project has been deposited at DDBJ/ENA/GenBank under the accession VMDX00000000. The version described in this paper is version VMDX01000000.

Ethics Statement

The animal study was reviewed and approved by Virginia Tech IACUC.

Author Contributions

YL and MT performed research and analyzed data. YL wrote paper. MT wrote and edited paper, designed research, and contributed reagents/analytic tools.

Funding

This work was supported by the Center for One Health Research Seed Grant (#459719) at Virginia-Maryland College of Veterinary Medicine and The Edward Via College of Osteopathic Medicine (MT), Virginia Tech Center for Autism Research Student Award (YL), and Virginia Tech Graduate Research Development Program Award (YL).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We thank the Animal Laboratory Services at Virginia-Maryland College of Veterinary Medicine for their services in support of this research.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphar.2019.01162/full#supplementary-material

Supplemental Table 1 | Comparative antibiotic susceptibility of L. murinus HU-1 versus native L. murinus isolated from mice feces. Disk diffusion antibiotic susceptibility assay results performed on L. murinus cultures isolated from feces of experimental mice (ABXHU-1, ABXHU-1+AC) and conventionally-raised controls (CONV). L. murinus isolated from ABXHU-1 mice showed antibiotic resistance to amikacin and gentamicin. Supplementing ABXHU-1 mice with amoxicillin/clavulanic acid (ABXHU-1+AC) for two weeks resulted in loss of antibiotic resistance in L. murinus isolates. Isolates collected from CONV mice showed variable antibiotic resistance based on mouse strain and vendor origin. Assay results are interpreted accordingly: S = Sensitive; I = Intermediate; R = Resistant; NI = Not Interpreted; N/A = Not available.

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Keywords: genome sequence, gut-brain axis, Lactobacillus murinus, microbiome, probiotic

Citation: Lebovitz Y and Theus MH (2019) Molecular Phenotyping and Genomic Characterization of a Novel Neuroactive Bacterium Strain, Lactobacillus murinus HU-1. Front. Pharmacol. 10:1162. doi: 10.3389/fphar.2019.01162

Received: 23 July 2019; Accepted: 10 September 2019;
Published: 04 October 2019.

Edited by:

Raffaele Capasso, University of Naples Federico II, Italy

Reviewed by:

Mohammad Bashashati, Texas Tech University Health Sciences Center, United States
Jerome Ricard, Drexel University, United States

Copyright © 2019 Lebovitz and Theus. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Michelle H. Theus, mtheus@vt.edu