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. 2025 Nov 24;15(1):e01134-25. doi: 10.1128/mra.01134-25

Complete genome sequence of Limosilactobacillus reuteri strain iVE-9, isolated from the fecal sample of a healthy human

Mallory J Van Haute 1, Katherine Chacón-Vargas 1, Shara R P Yumul 1, Chloe M Christensen 1, Robert Hutkins 2,3, Thomas A Auchtung 1,✉
Editor: Vanja Klepac-Ceraj4
PMCID: PMC12797992  PMID: 41277887

ABSTRACT

Limosilactobacillus reuteri inhabits the gastrointestinal tract of a variety of hosts. Here, we present the complete genome sequence of a human isolate, L. reuteri iVE-9, that encodes for several potentially beneficial metabolic traits, including production of exopolysaccharides, B vitamins, a bacteriocin, indole-3-lactic acid, and gamma-aminobutyric acid.

KEYWORDS: Limosilactobacillus reuteri, iVE-9, exopolysaccharides, B vitamins, bacteriocin, indole-3-lactic acid (ILA), gamma-aminobutyric acid (GABA)

ANNOUNCEMENT

Limosilactobacillus reuteri has been isolated from humans, a variety of animals (1–3), and fermented foods (4–6). L. reuteri has been widely studied to understand host adaptation and diversification into host-specific lineages (1). Clinical trials with L. reuteri have shown health-promoting benefits related to immunity (7) and a range of gastrointestinal diseases (8). In addition, diverse desirable properties have been described for specific strains, including the production of antimicrobial compounds (9, 10), B vitamins (11), immunomodulatory factors (12), and exopolysaccharides (13).

L. reuteri iVE-9 was obtained from a healthy woman living in Nebraska (USA). A donated fecal sample was used to inoculate 37°C anoxic fermentation media (14) (pH 7.0) containing the disaccharide palatinose as the only carbohydrate. The mixture was grown overnight, then successively transferred every 24 h in the same medium (15). After 96 h, the strain was subsequently isolated on agar plates of MRS (BD Difco recipe) with palatinose as the only carbohydrate and identified by Sanger sequencing of the 16S rRNA gene using primers Bact8F (AGAGTTTGATCCTGGCTCAG) and Bact1492R (GGYTACCTTGTTACGACTT) (16).

For DNA isolation, L. reuteri iVE-9 was grown overnight to late exponential phase in standard MRS broth at 37°C under anaerobic conditions. The culture was pelleted by centrifugation and sent to CD Genomics (Shirley, NY, USA). Total genomic DNA was extracted using a DNeasy UltraClean Microbial kit (Qiagen) following the manufacturer’s instructions. DNA was sheared into 10 kb fragments for SMRTbell (v.3.0) library creation using a gTUBE (Covaris) and sequenced on a PacBio Revio (v.2 chemistry). SMRT Link 8.0 software was used for data processing.

A total of 146,905 reads (mean 19,713 bp; N50 = 19,873 bp) were corrected and trimmed with Canu (v.2.1.1) and assembled into a single circular contig (2,161,134 bp; 38.89% GC) with Flye (v.2.9.1) using default parameters. Annotation performed by PGAP (v.6.10) (17) identified 2,131 protein-coding genes, 73 tRNAs, 18 rRNAs, and 1 tmRNA. Additional annotation was performed using Prokka (v.1.14.6) (18), eggNOG-mapper (v.2) (19), and BAGEL4 (20). dbCAN3 (21) identified 26 carbohydrate gene clusters for glycoside hydrolase families with functions including alpha-glucan, starch, and chitin metabolism. iVE-9 is phylogenetically basal to L. reuteri lineage II (containing human and herbivore isolates) by maximum likelihood analysis (FastTree v.2.1) (22) of 846 concatenated core genes compiled by Roary (v.3.13) (23). Default parameters were used for all software.

Traits for which iVE-9 may provide host advantages were examined (Fig. 1). No antibiotic resistance or virulence genes were detected (CARD RGI [24] and VFDB [25]). Genes were identified that are predicted to be involved in stress resistance (26), the metabolism of tryptophan to the anti-inflammatory compound indole-3-lactic acid (27), and the production and transport of the neurotransmitter gamma-aminobutyric acid (28), which may confer mental health benefits. The genome contains putative gene clusters involved in exopolysaccharide synthesis (29) and production of an antimicrobial bacteriocin (30). Additionally, using the KEGG database, we identified pathways for synthesis of B vitamins (31). In summary, the genome of L. reuteri iVE-9 suggests it has potential probiotic properties that may benefit human health.

Fig 1.

Left: Circular genome map with rings depict coding density, GC content, GC skew, and loci for potential probiotic traits. Right: Table explaining colors for the loci, including the trait, the genes or gene clusters involved, and the potential benefits.

Genome map of Limosilactobacillus reuteri iVE-9: from the inner to outer circle are tick marks (Mbp), CDS reverse strand (light green), CDS forward strand (light green), GC content (pink), GC skew (pink), and genes of probiotic interest (stress resistance, red; exopolysaccharide, purple; bacteriocin, green; B vitamins, blue; indole-3-lactic acid, yellow; gamma-aminobutyric acid production, orange). The figure was generated with Proksee (32).

ACKNOWLEDGMENTS

The authors thank Jens Walter for manuscript feedback. This work was completed utilizing the Holland Computing Center of the University of Nebraska, which receives support from the UNL Office of Research and Economic Development and the Nebraska Research Initiative. All authors are affiliated with Synbiotic Health, Inc., which supplied the funding for this study.

Contributor Information

Thomas A. Auchtung, Email: tommy@synbiotichealth.com.

Vanja Klepac-Ceraj, Wellesley College, Wellesley, Massachusetts, USA.

DATA AVAILABILITY

The iVE-9 BioProject, BioSample, SRA, and GenBank complete assembled genome accession numbers are PRJNA1270077, SAMN48813938, SRR33773734, and CP194781.

ETHICS APPROVAL

The fecal sample donor was enrolled by informed consent; fecal sample collection and bacterial isolation were approved by an institutional review board (Advarra IRB protocol Pro00059566).

REFERENCES

  • 1. Oh PL, Benson AK, Peterson DA, Patil PB, Moriyama EN, Roos S, Walter J. 2010. Diversification of the gut symbiont Lactobacillus reuteri as a result of host-driven evolution. ISME J 4:377–387. doi: 10.1038/ismej.2009.123 [DOI] [PubMed] [Google Scholar]
  • 2. Duar RM, Frese SA, Lin XB, Fernando SC, Burkey TE, Tasseva G, Peterson DA, Blom J, Wenzel CQ, Szymanski CM, Walter J. 2017. Experimental evaluation of host adaptation of Lactobacillus reuteri to different vertebrate species. Appl Environ Microbiol 83:e00132-17. doi: 10.1128/AEM.00132-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Li F, Li X, Cheng CC, Bujdoš D, Tollenaar S, Simpson DJ, Tasseva G, Perez-Muñoz ME, Frese S, Gänzle MG, Walter J, Zheng J. 2023. A phylogenomic analysis of Limosilactobacillus reuteri reveals ancient and stable evolutionary relationships with rodents and birds and zoonotic transmission to humans. BMC Biol 21:53. doi: 10.1186/s12915-023-01541-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Gänzle MG, Zheng J. 2019. Lifestyles of sourdough lactobacilli - Do they matter for microbial ecology and bread quality? Int J Food Microbiol 302:15–23. doi: 10.1016/j.ijfoodmicro.2018.08.019 [DOI] [PubMed] [Google Scholar]
  • 5. Fitriani VY, Suprapti B, Amin M. 2021. The characteristics of lactic acid bacteria isolated from fermented food as potential probiotics. J Basic Clin Physiol Pharmacol 32:743–749. doi: 10.1515/jbcpp-2020-0482 [DOI] [PubMed] [Google Scholar]
  • 6. Limbad M, Gutierrez Maddox N, Hamid N, Kantono K, Higgins C. 2024. Identification of the microbiota in coconut water, kefir, coconut water kefir and coconut water kefir-fermented sourdough using culture-dependent techniques and Illumina-MiSeq sequencing. Microorganisms 12:919. doi: 10.3390/microorganisms12050919 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Lee AH, Rodriguez Jimenez DM, Meisel M. 2025. Limosilactobacillus reuteri - a probiotic gut commensal with contextual impact on immunity. Gut Microbes 17:2451088. doi: 10.1080/19490976.2025.2451088 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Peng Y, Ma Y, Luo Z, Jiang Y, Xu Z, Yu R. 2023. Lactobacillus reuteri in digestive system diseases: focus on clinical trials and mechanisms. Front Cell Infect Microbiol 13:1254198. doi: 10.3389/fcimb.2023.1254198 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Spinler JK, Taweechotipatr M, Rognerud CL, Ou CN, Tumwasorn S, Versalovic J. 2008. Human-derived probiotic Lactobacillus reuteri demonstrate antimicrobial activities targeting diverse enteric bacterial pathogens. Anaerobe 14:166–171. doi: 10.1016/j.anaerobe.2008.02.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Morita H, Toh H, Fukuda S, Horikawa H, Oshima K, Suzuki T, Murakami M, Hisamatsu S, Kato Y, Takizawa T, Fukuoka H, Yoshimura T, Itoh K, O’Sullivan DJ, McKay LL, Ohno H, Kikuchi J, Masaoka T, Hattori M. 2008. Comparative genome analysis of Lactobacillus reuteri and Lactobacillus fermentum reveal a genomic island for reuterin and cobalamin production. DNA Res 15:151–161. doi: 10.1093/dnares/dsn009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Santos F, Spinler JK, Saulnier DMA, Molenaar D, Teusink B, de Vos WM, Versalovic J, Hugenholtz J. 2011. Functional identification in Lactobacillus reuteri of a PocR-like transcription factor regulating glycerol utilization and vitamin B12 synthesis. Microb Cell Fact 10:1–11. doi: 10.1186/1475-2859-10-55 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Luo Z, Chen A, Xie A, Liu X, Jiang S, Yu R. 2023. Limosilactobacillus reuteri in immunomodulation: molecular mechanisms and potential applications. Front Immunol 14:1228754. doi: 10.3389/fimmu.2023.1228754 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Ryan PM, Ross RP, Fitzgerald GF, Caplice NM, Stanton C. 2015. Sugar-coated: exopolysaccharide producing lactic acid bacteria for food and human health applications. Food Funct 6:679–693. doi: 10.1039/c4fo00529e [DOI] [PubMed] [Google Scholar]
  • 14. Yang J, Rose DJ. 2014. Long-term dietary pattern of fecal donor correlates with butyrate production and markers of protein fermentation during in vitro fecal fermentation. Nutr Res 34:749–759. doi: 10.1016/j.nutres.2014.08.006 [DOI] [PubMed] [Google Scholar]
  • 15. Kok CR, Gomez Quintero DF, Niyirora C, Rose D, Li A, Hutkins R. 2019. An in vitro enrichment strategy for formulating synergistic synbiotics. Appl Environ Microbiol 85:e01073-19. doi: 10.1128/AEM.01073-19 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Van Haute MJ, Chacón-Vargas K, Christensen CM, Yumul SRP, Abdulaali FF, Benson AK, Hutkins R, Auchtung TA. 2025. Comparative genomic and phenotypic analysis of potential beneficial properties of Bifidobacterium adolescentis. mSphere:e0067325. doi: 10.1128/msphere.00673-25 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Tatusova T, DiCuccio M, Badretdin A, Chetvernin V, Nawrocki EP, Zaslavsky L, Lomsadze A, Pruitt KD, Borodovsky M, Ostell J. 2016. NCBI prokaryotic genome annotation pipeline. Nucleic Acids Res 44:6614–6624. doi: 10.1093/nar/gkw569 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Seemann T. 2014. Prokka: rapid prokaryotic genome annotation. Bioinformatics 30:2068–2069. doi: 10.1093/bioinformatics/btu153 [DOI] [PubMed] [Google Scholar]
  • 19. Cantalapiedra CP, Hernández-Plaza A, Letunic I, Bork P, Huerta-Cepas J. 2021. eggNOG-mapper v2: functional annotation, orthology assignments, and domain prediction at the metagenomic scale. Mol Biol Evol 38:5825–5829. doi: 10.1093/molbev/msab293 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. van Heel AJ, de Jong A, Song C, Viel JH, Kok J, Kuipers OP. 2018. BAGEL4: a user-friendly web server to thoroughly mine RiPPs and bacteriocins. Nucleic Acids Res 46:W278–W281. doi: 10.1093/nar/gky383 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Zheng J, Ge Q, Yan Y, Zhang X, Huang L, Yin Y. 2023. dbCAN3: automated carbohydrate-active enzyme and substrate annotation. Nucleic Acids Res 51:W115–W121. doi: 10.1093/nar/gkad328 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Price MN, Dehal PS, Arkin AP. 2009. FastTree: computing large minimum evolution trees with profiles instead of a distance matrix. Mol Biol Evol 26:1641–1650. doi: 10.1093/molbev/msp077 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Page AJ, Cummins CA, Hunt M, Wong VK, Reuter S, Holden MTG, Fookes M, Falush D, Keane JA, Parkhill J. 2015. Roary: rapid large-scale prokaryote pan genome analysis. Bioinformatics 31:3691–3693. doi: 10.1093/bioinformatics/btv421 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Alcock BP, Huynh W, Chalil R, Smith KW, Raphenya AR, Wlodarski MA, Edalatmand A, Petkau A, Syed SA, Tsang KK, et al. 2023. CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database. Nucleic Acids Res 51:D690–D699. doi: 10.1093/nar/gkac920 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Zhou S, Liu B, Zheng D, Chen L, Yang J. 2025. VFDB 2025: an integrated resource for exploring anti-virulence compounds. Nucleic Acids Res 53:D871–D877. doi: 10.1093/nar/gkae968 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Albarracin L, Raya Tonetti F, Fukuyama K, Suda Y, Zhou B, Baillo AA, Fadda S, Saavedra L, Kurata S, Hebert EM, Kitazawa H, Villena J. 2022. Genomic characterization of Lactiplantibacillus plantarum strains possessing differential antiviral immunomodulatory activities. Bacteria 1:136–160. doi: 10.3390/bacteria1030012 [DOI] [Google Scholar]
  • 27. Qian X, Li Q, Zhu H, Chen Y, Lin G, Zhang H, Chen W, Wang G, Tian P. 2024. Bifidobacteria with indole-3-lactic acid-producing capacity exhibit psychobiotic potential via reducing neuroinflammation. Cell Rep Med 5:101798. doi: 10.1016/j.xcrm.2024.101798 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Yunes RA, Poluektova EU, Dyachkova MS, Klimina KM, Kovtun AS, Averina OV, Orlova VS, Danilenko VN. 2016. GABA production and structure of gadB/gadC genes in Lactobacillus and Bifidobacterium strains from human microbiota. Anaerobe 42:197–204. doi: 10.1016/j.anaerobe.2016.10.011 [DOI] [PubMed] [Google Scholar]
  • 29. Castro-Bravo N, Wells JM, Margolles A, Ruas-Madiedo P. 2018. Interactions of surface exopolysaccharides from Bifidobacterium and Lactobacillus within the intestinal environment. Front Microbiol 9:2426. doi: 10.3389/fmicb.2018.02426 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Cotter PD, Hill C, Ross RP. 2005. Bacteriocins: developing innate immunity for food. Nat Rev Microbiol 3:777–788. doi: 10.1038/nrmicro1273 [DOI] [PubMed] [Google Scholar]
  • 31. Kanehisa M, Sato Y. 2020. KEGG Mapper for inferring cellular functions from protein sequences. Protein Sci 29:28–35. doi: 10.1002/pro.3711 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Grant JR, Enns E, Marinier E, Mandal A, Herman EK, Chen C, Graham M, Van Domselaar G, Stothard P. 2023. Proksee: in-depth characterization and visualization of bacterial genomes. Nucleic Acids Res 51:W484–W492. doi: 10.1093/nar/gkad326 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The iVE-9 BioProject, BioSample, SRA, and GenBank complete assembled genome accession numbers are PRJNA1270077, SAMN48813938, SRR33773734, and CP194781.


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