Ligilactobacillus ruminis RFl is an anaerobe bacterium that was isolated from bovine rumen.
anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacillota |
| Class Bacilli |
| Order Lactobacillales |
| Family Lactobacillaceae |
| Genus Ligilactobacillus |
| Species Ligilactobacillus ruminis |
| Full scientific name Ligilactobacillus ruminis (Sharpe et al. 1973) Zheng et al. 2020 |
| Synonyms (1) |
| BacDive ID | Other strains from Ligilactobacillus ruminis (3) | Type strain |
|---|---|---|
| 6511 | L. ruminis RF 2, DSM 20404, ATCC 27781, JCM 1182, LMG ... | |
| 6512 | L. ruminis 244, DSM 20511 | |
| 158988 | L. ruminis LKV-472-APC-10, DSM 107447 |
| 54804 | Incubation period2 days |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 8789 | MRS MEDIUM WITH CYSTEINE (DSMZ Medium 232) | Medium recipe at MediaDive | Name: MRS MEDIUM WITH CYSTEINE (DSMZ Medium 232) Composition: Glucose 20.0 g/l Casein peptone 10.0 g/l Meat extract 10.0 g/l Na-acetate 5.0 g/l Yeast extract 5.0 g/l (NH4)2 citrate 2.0 g/l K2HPO4 2.0 g/l Tween 80 1.0 g/l MgSO4 x 7 H2O 0.2 g/l MnSO4 x H2O 0.05 g/l Distilled water | ||
| 40544 | MEDIUM 43 - for Lactobacillus hamsteri and Lactobacillus ruminis | Distilled water make up to (900.000 ml);Man Rogosa Sharp broth (55.000 g);Cysteine hydrochloride 5 % solution - M0172 (100.000 ml) | |||
| 122313 | CIP Medium 41 | Medium recipe at CIP |
| @ref | Murein short key | Type | |
|---|---|---|---|
| 8789 | A31 | A1gamma m-Dpm-direct |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68371 | 27613 ChEBI | amygdalin | + | builds acid from | from API 50CH acid |
| 68371 | 18305 ChEBI | arbutin | + | builds acid from | from API 50CH acid |
| 68371 | 17057 ChEBI | cellobiose | + | builds acid from | from API 50CH acid |
| 68371 | 17108 ChEBI | D-arabinose | - | builds acid from | from API 50CH acid |
| 68371 | 18333 ChEBI | D-arabitol | - | builds acid from | from API 50CH acid |
| 68371 | 15824 ChEBI | D-fructose | + | builds acid from | from API 50CH acid |
| 68371 | 28847 ChEBI | D-fucose | - | builds acid from | from API 50CH acid |
| 68371 | 12936 ChEBI | D-galactose | + | builds acid from | from API 50CH acid |
| 68371 | 17634 ChEBI | D-glucose | + | builds acid from | from API 50CH acid |
| 68371 | 62318 ChEBI | D-lyxose | - | builds acid from | from API 50CH acid |
| 68371 | 16899 ChEBI | D-mannitol | - | builds acid from | from API 50CH acid |
| 68371 | 16024 ChEBI | D-mannose | + | builds acid from | from API 50CH acid |
| 68371 | 16988 ChEBI | D-ribose | - | builds acid from | from API 50CH acid |
| 68371 | 17924 ChEBI | D-sorbitol | - | builds acid from | from API 50CH acid |
| 68371 | 16443 ChEBI | D-tagatose | - | builds acid from | from API 50CH acid |
| 68371 | 65327 ChEBI | D-xylose | - | builds acid from | from API 50CH acid |
| 68371 | 17113 ChEBI | erythritol | - | builds acid from | from API 50CH acid |
| 68371 | 4853 ChEBI | esculin | + | builds acid from | from API 50CH acid |
| 68371 | 16813 ChEBI | galactitol | - | builds acid from | from API 50CH acid |
| 68371 | 24265 ChEBI | gluconate | - | builds acid from | from API 50CH acid |
| 68371 | 17754 ChEBI | glycerol | - | builds acid from | from API 50CH acid |
| 68371 | 28087 ChEBI | glycogen | - | builds acid from | from API 50CH acid |
| 68371 | 15443 ChEBI | inulin | - | builds acid from | from API 50CH acid |
| 68371 | 30849 ChEBI | L-arabinose | - | builds acid from | from API 50CH acid |
| 68371 | 18403 ChEBI | L-arabitol | - | builds acid from | from API 50CH acid |
| 68371 | 18287 ChEBI | L-fucose | - | builds acid from | from API 50CH acid |
| 68371 | 62345 ChEBI | L-rhamnose | - | builds acid from | from API 50CH acid |
| 68371 | 17266 ChEBI | L-sorbose | - | builds acid from | from API 50CH acid |
| 68371 | 65328 ChEBI | L-xylose | - | builds acid from | from API 50CH acid |
| 68371 | 17716 ChEBI | lactose | + | builds acid from | from API 50CH acid |
| 68371 | 17306 ChEBI | maltose | + | builds acid from | from API 50CH acid |
| 68371 | 6731 ChEBI | melezitose | - | builds acid from | from API 50CH acid |
| 68371 | 28053 ChEBI | melibiose | + | builds acid from | from API 50CH acid |
| 68371 | 320061 ChEBI | methyl alpha-D-glucopyranoside | - | builds acid from | from API 50CH acid |
| 68371 | 43943 ChEBI | methyl alpha-D-mannoside | - | builds acid from | from API 50CH acid |
| 68371 | 74863 ChEBI | methyl beta-D-xylopyranoside | - | builds acid from | from API 50CH acid |
| 68371 | 17268 ChEBI | myo-inositol | - | builds acid from | from API 50CH acid |
| 68371 | 59640 ChEBI | N-acetylglucosamine | + | builds acid from | from API 50CH acid |
| 68371 | Potassium 2-ketogluconate | - | builds acid from | from API 50CH acid | |
| 68371 | Potassium 5-ketogluconate | - | builds acid from | from API 50CH acid | |
| 68371 | 16634 ChEBI | raffinose | + | builds acid from | from API 50CH acid |
| 68371 | 15963 ChEBI | ribitol | - | builds acid from | from API 50CH acid |
| 68371 | 17814 ChEBI | salicin | + | builds acid from | from API 50CH acid |
| 68371 | 28017 ChEBI | starch | - | builds acid from | from API 50CH acid |
| 68371 | 17992 ChEBI | sucrose | + | builds acid from | from API 50CH acid |
| 68371 | 27082 ChEBI | trehalose | - | builds acid from | from API 50CH acid |
| 68371 | 32528 ChEBI | turanose | - | builds acid from | from API 50CH acid |
| 68371 | 17151 ChEBI | xylitol | - | builds acid from | from API 50CH acid |
| @ref | ControlQ | GLY | ERY | DARA | LARA | RIB | DXYL | LXYL | ADO | MDX | GAL | GLU | FRU | MNE | SBE | RHA | DUL | INO | MAN | SOR | MDM | MDG | NAG | AMY | ARB | ESC | SAL | CEL | MAL | LAC | MEL | SAC | TRE | INU | MLZ | RAF | AMD | GLYG | XLT | GEN | TUR | LYX | TAG | DFUC | LFUC | DARL | LARL | GNT | 2KG | 5KG | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 8789 | - | - | - | - | - | - | - | - | - | - | + | + | + | + | - | - | - | - | - | - | - | - | + | + | + | + | + | + | + | + | + | + | - | - | - | + | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| 8789 | - | - | - | - | - | - | - | - | - | - | + | + | + | + | - | - | - | - | - | - | - | - | + | + | + | + | + | + | + | + | + | + | - | - | - | + | - | - | - | + | - | - | - | - | - | - | - | - | - | - |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Mammals | #Bovinae (Cow, Cattle) | |
| #Host Body-Site | #Organ | #Rumen |
Global distribution of 16S sequence LC064897 (>99% sequence identity) for Ligilactobacillus ruminis subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | IMG-taxon 2593339155 annotated assembly for Ligilactobacillus ruminis DSM 20403 = NBRC 102161 | scaffold | 1423798 | 63.29 | ||||
| 67770 | ASM143647v1 assembly for Ligilactobacillus ruminis DSM 20403 = NBRC 102161 | contig | 1423798 | 54.49 | ||||
| 67770 | ASM100875v1 assembly for Ligilactobacillus ruminis ATCC 27780 | contig | 1623 | 53.21 | ||||
| 67770 | ASM159190v1 assembly for Ligilactobacillus ruminis DSM 20403 = NBRC 102161 | contig | 1423798 | 50.53 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20218 | Lactobacillus ruminis 16S ribosomal RNA gene, partial sequence; 16S-23S ribosomal RNA intergenic spacer region, complete sequence; and 23S ribosomal RNA gene, partial sequence | AF080103 | 533 | 1623 | ||
| 20218 | Lactobacillus ruminus 16S ribosomal RNA | M58828 | 1567 | 1623 | ||
| 20218 | Lactobacillus ruminis gene for 16S rRNA, partial sequence, strain: JCM 1152 | AB289286 | 659 | 1623 | ||
| 20218 | Lactobacillus ruminis gene for 16S rRNA, partial sequence, strain: NBRC 102161 | AB326354 | 1488 | 1623 | ||
| 67770 | Lactobacillus ruminis gene for 16S ribosomal RNA, partial sequence, strain: JCM 1152 | LC064897 | 1465 | 1623 | ||
| 124043 | Ligilactobacillus ruminis JCM:1152 gene for 16S rRNA, partial sequence. | LC723858 | 1506 | 1623 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 69.70 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 74.70 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 86.60 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | microaerophile | 93.60 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 85.50 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 67.48 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 76.93 | no |
| 125438 | aerobic | aerobicⓘ | no | 97.05 | no |
| 125438 | thermophilic | thermophileⓘ | no | 94.21 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 55.50 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Characterization of antibiotic resistance genes in the species of the rumen microbiota. | Sabino YNV, Santana MF, Oyama LB, Santos FG, Moreira AJS, Huws SA, Mantovani HC. | Nat Commun | 10.1038/s41467-019-13118-0 | 2019 | ||
| Genetics | Genus-Wide Assessment of Antibiotic Resistance in Lactobacillus spp. | Campedelli I, Mathur H, Salvetti E, Clarke S, Rea MC, Torriani S, Ross RP, Hill C, O'Toole PW. | Appl Environ Microbiol | 10.1128/aem.01738-18 | 2019 | |
| From an Hsp90 - binding protein to a peptide drug. | Ammanath AV, Jarneborn A, Nguyen MT, Wessling L, Tribelli P, Nega M, Beck C, Luqman A, Selim KA, Kalbacher H, Macek B, Hammer SB, Jin T, Gotz F. | Microlife | 10.1093/femsml/uqac023 | 2023 | ||
| Genetics | Lactobacillus ruminis strains cluster according to their mammalian gut source. | O' Donnell MM, Harris HM, Lynch DB, Ross RP, O'Toole PW. | BMC Microbiol | 10.1186/s12866-015-0403-y | 2015 | |
| Identification of human gut bacteria that produce bioactive serotonin and promote colonic innervation. | Moretti CH, Grasset E, Zhu J, Yang G, Olofsson LE, Khan MT, Bergh PO, Oh JH, Lundqvist A, van Gils T, Kramer M, Olsson LM, Patel P, Mitteregger M, Monges DE, Dwibedi C, Krautkramer KA, Koopman N, Henricsson M, Macpherson AJ, Schwartz T, Grompone G, Pijkeren JV, Tremaroli V, Roos S, Simren M, Backhed F. | Cell Rep | 10.1016/j.celrep.2025.116434 | 2025 | ||
| The crystal structure of the N-terminal domain of the backbone pilin LrpA reveals a new closure-and-twist motion for assembling dynamic pili in Ligilactobacillus ruminis. | Prajapati A, Palva A, von Ossowski I, Krishnan V. | Acta Crystallogr D Struct Biol | 10.1107/s2059798324005114 | 2024 | ||
| Genetics | Exploring the mechanisms of protective effect of high-energy X-ray FLASH radiotherapy on intestine through multi omics analysis. | Du H, Lin B, Zhu Y, Hao X, Tang M, Wu W, Wang D, Yang Y, Liang Y, Tang W, Xu H, Li J, Gao F, Du X. | Radiat Oncol | 10.1186/s13014-025-02763-z | 2025 | |
| Genetics | Deciphering the gut microbiota's role in diverticular disease: insights from a Mendelian randomization study. | Zheng B, Chen D, Zeng H, Lin S. | Front Cell Infect Microbiol | 10.3389/fcimb.2024.1460504 | 2024 | |
| In Silico Identification and Molecular Characterization of Lentilactobacillus hilgardii Antimicrobial Peptides with Activity Against Carbapenem-Resistant Acinetobacter baumannii. | Appel A, Velazco L, Alreja AB, LeClair K, Duggal AP, Vashee I, Taal AM, Gonzalez-Juarbe N, Fouts DE. | Antibiotics (Basel) | 10.3390/antibiotics14101004 | 2025 | ||
| Multi-kingdom microbial changes and their associations with the clinical characteristics in schizophrenia patients. | Zhu B, Liang L, Chen S, Li H, Huang Y, Wang W, Zhang H, Zhou J, Xiong D, Li X, Li J, Ning Y, Shi X, Wu F, Wu K. | Transl Psychiatry | 10.1038/s41398-025-03449-6 | 2025 | ||
| Genetics | Exploring the role of intestinal microbiota in mitigating acute radiation-induced intestinal injury through high-energy X-ray FLASH radiotherapy via metagenomic analysis. | Du H, Hao X, Lin B, Zhu Y, Yang Y, Tang M, Wu W, Wang D, Lin B, Liang Y, Tang W, Xu H, Li J, Gao F, Du X. | Front Microbiol | 10.3389/fmicb.2025.1601244 | 2025 | |
| Compositional and functional features of the intestinal lactobacilli associated with different long-term diet types. | Yi S, Zhang C, Yin P, Yu L, Tian F, Chen W, Zhai Q. | Food Funct | 10.1039/d3fo02182c | 2023 | ||
| Limosilactobacillus fermentum, Lactococcus lactis and Thomasclavelia ramosa are enriched and Methanobrevibacter smithii is depleted in patients with non-alcoholic steatohepatitis. | Mbaye B, Wasfy RM, Alou MT, Borentain P, Andrieu C, Caputo A, Raoult D, Gerolami R, Million M. | Microb Pathog | 10.1016/j.micpath.2023.106160 | 2023 | ||
| Genetics | Whole-Genome Sequence Analysis and Subtractive Screening of Lactobacilli in the Searching for New Probiotics to Protect the Mammary Glands. | Bujnakova D, Galambosiova T, Karahutova L. | Int J Mol Sci | 10.3390/ijms262110809 | 2025 | |
| Transcriptome | Partial Treponema spp. as candidate probiotics for rumen methane mitigation revealed by a module-based activity index. | Wang W, Chen X, Fang D, Li L, Yueda AG, Gan J, Deng X, Ma X, Chen Y, Shi Y, He F, Wu C, Yi Z, Fu M, Yi J. | Front Vet Sci | 10.3389/fvets.2025.1654829 | 2025 | |
| Prospective Comparative Study of an Oral Synbiotic and a Myoinositol-Based Herbal Supplement in Modifying Hormone Levels and the Gut Microbiome in Non-cystic Acne. | Min M, Afzal N, Maloh J, Dulai AS, Ahmad N, Pinzauti D, Sivamani RK. | Dermatol Ther (Heidelb) | 10.1007/s13555-025-01411-4 | 2025 | ||
| Lactation time influences the composition of Bifidobacterium and Lactobacillus at species level in human breast milk. | Ding M, Zheng Y, Liu F, Tian F, Ross RP, Stanton C, Yu R, Zhao J, Zhang H, Yang B, Chen W. | Benef Microbes | 10.3920/bm2021.0119 | 2022 | ||
| Characterization of a putative metal-dependent PTP-like phosphatase from Lactobacillus helveticus 2126. | Priyodip P, Balaji S. | Int Microbiol | 10.1007/s10123-023-00390-w | 2024 | ||
| Insight into gut dysbiosis of patients with inflammatory bowel disease and ischemic colitis. | Dahal RH, Kim S, Kim YK, Kim ES, Kim J. | Front Microbiol | 10.3389/fmicb.2023.1174832 | 2023 | ||
| Comprehensive gut microbiota composition and microbial interactions among the three age groups. | Ma J, Yang X, He J. | PLoS One | 10.1371/journal.pone.0305583 | 2024 | ||
| Metagenomic sequencing identified microbial species in the rumen and cecum microbiome responsible for niacin treatment and related to intramuscular fat content in finishing cattle. | Yang Z, Chen X, Yu M, Jing R, Bao L, Zhao X, Pan K, Chao B, Qu M. | Front Microbiol | 10.3389/fmicb.2024.1334068 | 2024 | ||
| Fecal microbiome profiling of children with Shigella diarrhea from low- and middle-income countries. | Fan Y, Li Y, Wang L, Zhao D, Zhou Y, Houpt ER, Liu J. | Microbiol Spectr | 10.1128/spectrum.00573-25 | 2025 | ||
| LrpCBA pilus proteins of gut-dwelling Ligilactobacillus ruminis: crystallization and X-ray diffraction analysis. | Prajapati A, Palva A, von Ossowski I, Krishnan V. | Acta Crystallogr F Struct Biol Commun | 10.1107/s2053230x21007263 | 2021 | ||
| Phylogeny | Characterization of blood microbial population in beef calves with clinical signs of sepsis using 16S rRNA gene sequencing. | Borriello G, Valentini F, Ferrini S, Di Muro G, Cagnotti G, Grego E, Catania AM, Stella MC, Ala U, Nebbia P, D'Angelo A, Bellino C. | PLoS One | 10.1371/journal.pone.0324469 | 2025 | |
| Genetics | A Spatiotemporal Atlas of the Gut Microbiota in Macaca mulatta brevicaudus: Implications for Health and Environment. | Yuan J, Sun Z, Sun R, Wang J, Wu C, Liu B, Zhao X, Li Q, Zhao J, Cai K. | Biology (Basel) | 10.3390/biology14080980 | 2025 | |
| Disease-associated microbiome signature species in the gut. | Li J, Li J, O'Toole PW. | PNAS Nexus | 10.1093/pnasnexus/pgae352 | 2024 | ||
| Decoding the Gut Microbiota in Multiple Sclerosis Using Nanopore Long-Read Sequencing: Insights into Disease Severity and Subtypes. | Alshinnawy AS, Badiea EA, Swelam MS, Sayed AA, Mohamed MR. | Mol Neurobiol | 10.1007/s12035-025-05194-9 | 2025 | ||
| Lactobacillus delbrueckii subsp. allosunkii and lactis as emerging human uropathogens in elderly patients. | Guerin F, Sassi M, Gravey F, Zouari A, Quenet B, Lecourt M, Ract P, Michaux C, Auzou M, Isnard C, Cattoir V. | J Clin Microbiol | 10.1128/jcm.02072-24 | 2025 | ||
| Drugs Versus Microbiota: How Pharmacotherapy Affects Gut and Probiotic Bacteria. | Zawistowska-Rojek A, Tyski S. | Pharmaceuticals (Basel) | 10.3390/ph18091372 | 2025 | ||
| Phylogeny | A Two-Faced Gut Microbiome: Butyrogenic and Proinflammatory Bacteria Predominate in the Intestinal Milieu of People Living with HIV from Western Mexico. | Baltazar-Diaz TA, Andrade-Villanueva JF, Sanchez-Alvarez P, Amador-Lara F, Holguin-Aguirre T, Sanchez-Reyes K, Alvarez-Zavala M, Lopez-Roa RI, Bueno-Topete MR, Gonzalez-Hernandez LA. | Int J Mol Sci | 10.3390/ijms25094830 | 2024 | |
| Genetics | High throughput single cell metagenomic sequencing with semi-permeable capsules: unraveling microbial diversity at the single-cell level in sewage and fecal microbiomes. | Ling M, Szarvas J, Kurmauskaite V, Kiseliovas V, Zilionis R, Avot B, Munk P, Aarestrup FM. | Front Microbiol | 10.3389/fmicb.2024.1516656 | 2024 | |
| Genetics | Diet-Gut Microbiota Relations: Critical Appraisal of Evidence From Studies Using Metagenomics. | Lotankar M, Houttu N, Mokkala K, Laitinen K. | Nutr Rev | 10.1093/nutrit/nuae192 | 2025 | |
| Probiotics in inflammatory bowel diseases: emphasis on mechanisms and clinical application. | Zhang J, Zhang X, Cheng X, Wang S, Lv Y, Zheng X, Wu G. | Front Med (Lausanne) | 10.3389/fmed.2025.1620079 | 2025 | ||
| The association between gut microbiota composition and cardiometabolic parameters in healthy adults | Okalin S, Arslan N, Demiray Gurbuz E, Arayici M, Kirca N, Ozel Demiralp D, Dereli-Akdeniz D, Akan P, Ozkutuk A. | BMC Microbiol | 2025 | |||
| Different intestinal ecological niches drive the divergent evolution of probiotics in the gut. | Han Z, Huang D, Liu X, Ma W, Cui W, Jiang S, Zhen D, Zhang J. | ISME Commun | 10.1093/ismeco/ycaf023 | 2025 | ||
| Screening Microbial Interactions During Inulin Utilization Reveals Strong Competition and Proteomic Changes in Lacticaseibacillus paracasei M38. | Vega-Sagardia M, Cabezon EC, Delgado J, Ruiz-Moyano S, Garrido D. | Probiotics Antimicrob Proteins | 10.1007/s12602-023-10083-5 | 2024 | ||
| Interplay between the gut microbiome and typhoid fever: insights from endemic countries and a controlled human infection model. | Ashton PM, Mageiros L, Meiring JE, Chunga-Chirambo A, Khanam F, Dongol S, Banda H, Karkey A, Preciado-Llanes L, Thomaides-Brears H, Gibani M, Rajib NH, Rahman N, Biswas PK, Bhuiyan MAI, Kay S, Auger K, Seret O, Thomson NR, Pollard AJ, Baker S, Basnyat B, Clemens JD, Dolecek C, Dunstan SJ, Dougan G, Heyderman RS, Pitzer VE, Qadri F, Gordon MA, Holt KE, Darton TC, STRATAA Study Group. | Microbiome | 10.1186/s40168-025-02125-7 | 2025 | ||
| Probiotic Mixture Attenuates Colorectal Tumorigenesis in Murine AOM/DSS Model by Suppressing STAT3, Inducing Apoptotic p53 and Modulating Gut Microbiota. | Leung HKM, Lo EKK, Chen C, Zhang F, Felicianna, Ismaiah MJ, El-Nezami H. | Probiotics Antimicrob Proteins | 10.1007/s12602-024-10405-1 | 2025 | ||
| Microbiome signature suggestive of lactose-intolerance in rhesus macaques (Macaca mulatta) with intermittent chronic diarrhea. | Maaskant A, Voermans B, Levin E, de Goffau MC, Plomp N, Schuren F, Remarque EJ, Smits A, Langermans JAM, Bakker J, Montijn R. | Anim Microbiome | 10.1186/s42523-024-00338-z | 2024 | ||
| Intestinal Barrier Impairment Induced by Gut Microbiome and Its Metabolites in School-Age Children with Zinc Deficiency. | Chai X, Chen X, Yan T, Zhao Q, Hu B, Jiang Z, Guo W, Zhang Y. | Nutrients | 10.3390/nu16091289 | 2024 | ||
| Metabolism | Exploring the role of gut microbiota modulation in the long-term therapeutic benefits of early MSC transplantation in MRL/lpr mice. | Pan Q, Guo F, Chen J, Huang H, Huang Y, Liao S, Xiao Z, Wang X, You L, Yang L, Huang X, Xiao H, Liu HF, Pan Q. | Cell Mol Biol Lett | 10.1186/s11658-025-00716-8 | 2025 | |
| Metabolism | Low-dose valine attenuates diet-induced metabolic dysfunction-associated steatotic liver disease (MASLD) in mice by enhancing leptin sensitivity and modulating the gut microbiome. | Felicianna, Lo EKK, Chen C, Ismaiah MJ, Zhang F, Leung HKM, El-Nezami H. | Mol Metab | 10.1016/j.molmet.2024.102059 | 2024 | |
| Genetics | Characterization of Ligilactobacillus salivarius CRISPR-Cas systems. | Roberts A, Spang D, Sanozky-Dawes R, Nethery MA, Barrangou R. | mSphere | 10.1128/msphere.00171-24 | 2024 | |
| Establishment of porcine fecal-derived ex vivo microbial communities to evaluate the impact of livestock feed on gut microbiome. | Tsujikawa Y, Nishiyama K, Namai F, Imamura Y, Sakuma T, Saha S, Suzuki M, Sakurai M, Iwata R, Matsuo K, Takamori H, Suda Y, Zhou B, Fukuda I, Villena J, Sakane I, Osawa R, Kitazawa H. | Biosci Microbiota Food Health | 10.12938/bmfh.2023-085 | 2024 | ||
| Comparative genomic analysis of Periweissella and the characterization of novel motile species. | Qiao N, Bechtner J, Cnockaert M, Depoorter E, Diaz-Munoz C, Vandamme P, De Vuyst L, Ganzle MG. | Appl Environ Microbiol | 10.1128/aem.01034-23 | 2023 | ||
| Negative chemotaxis of Ligilactobacillus agilis BKN88 against gut-derived substances. | Suzuki S, Yokota K, Igimi S, Kajikawa A. | Sci Rep | 10.1038/s41598-023-42840-5 | 2023 | ||
| In Vitro Screen of Lactobacilli Strains for Gastrointestinal and Vaginal Benefits. | Anglenius H, Makivuokko H, Ahonen I, Forssten SD, Wacklin P, Matto J, Lahtinen S, Lehtoranta L, Ouwehand AC. | Microorganisms | 10.3390/microorganisms11020329 | 2023 | ||
| Phylogeny | Comparison between 16S rRNA and shotgun sequencing in colorectal cancer, advanced colorectal lesions, and healthy human gut microbiota. | Bars-Cortina D, Ramon E, Rius-Sansalvador B, Guino E, Garcia-Serrano A, Mach N, Khannous-Lleiffe O, Saus E, Gabaldon T, Ibanez-Sanz G, Rodriguez-Alonso L, Mata A, Garcia-Rodriguez A, Obon-Santacana M, Moreno V. | BMC Genomics | 10.1186/s12864-024-10621-7 | 2024 | |
| Efficacy of Bifidobacterium animalis subsp. lactis BL-99 in the treatment of functional dyspepsia: a randomized placebo-controlled clinical trial. | Zhang Q, Li G, Zhao W, Wang X, He J, Zhou L, Zhang X, An P, Liu Y, Zhang C, Zhang Y, Liu S, Zhao L, Liu R, Li Y, Jiang W, Wang X, Wang Q, Fang B, Zhao Y, Ren Y, Niu X, Li D, Shi S, Hung WL, Wang R, Liu X, Ren F. | Nat Commun | 10.1038/s41467-023-44292-x | 2024 | ||
| Age-related effects on the modulation of gut microbiota by pectins and their derivatives: an in vitro study. | Gu F, Larsen N, Pascale N, Petersen SA, Khakimov B, Respondek F, Jespersen L. | Front Microbiol | 10.3389/fmicb.2023.1207837 | 2023 | ||
| Genetics | Integrated Phenotypic-Genotypic Analysis of Latilactobacillus sakei from Different Niches. | Chen Y, Li N, Zhao S, Zhang C, Qiao N, Duan H, Xiao Y, Yan B, Zhao J, Tian F, Zhai Q, Yu L, Chen W. | Foods | 10.3390/foods10081717 | 2021 | |
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| #8789 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 20403 |
| #20215 | Parte, A.C., Sardà Carbasse, J., Meier-Kolthoff, J.P., Reimer, L.C. and Göker, M.: List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ. IJSEM ( DOI 10.1099/ijsem.0.004332 ) |
| #20218 | Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 ) |
| #40544 | ; Curators of the CIP; |
| #54804 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 39465 |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #68371 | Automatically annotated from API 50CH acid . |
| #69479 | João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta . |
| #122313 | Collection of Institut Pasteur ; Curators of the CIP; CIP 103153 |
| #124043 | Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy . |
| #125438 | Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann: Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets. 2024 ( DOI 10.1101/2024.08.12.607695 ) |
| #125439 | Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardy: deepG: Deep Learning for Genome Sequence Data. R package version 0.3.1 . |
| #126262 | A. Lissin, I. Schober, J. F. Witte, H. Lüken, A. Podstawka, J. Koblitz, B. Bunk, P. Dawyndt, P. Vandamme, P. de Vos, J. Overmann, L. C. Reimer: StrainInfo—the central database for linked microbial strain identifiers. ( DOI 10.1093/database/baaf059 ) |
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BacDive in 2025: the core database for prokaryotic strain data