Ligilactobacillus agilis JCM 1048 is a mesophilic prokaryote that was isolated from Chicken intestine.
mesophilic 16S sequence| @ref 20215 |
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| Domain Bacillati |
| Phylum Bacillota |
| Class Bacilli |
| Order Lactobacillales |
| Family Lactobacillaceae |
| Genus Ligilactobacillus |
| Species Ligilactobacillus agilis |
| Full scientific name Ligilactobacillus agilis (Weiss et al. 1982) Zheng et al. 2020 |
| Synonyms (1) |
| BacDive ID | Other strains from Ligilactobacillus agilis (8) | Type strain |
|---|---|---|
| 6407 | L. agilis 262, DSM 20509, NCIB 11716, CCUG 31450, JCM ... (type strain) | |
| 6406 | L. agilis 123, DSM 20508 | |
| 6408 | L. agilis 298, DSM 20510 | |
| 158984 | L. agilis WCA-389-WT-5H1, DSM 102821 | |
| 160073 | L. agilis Cla-CZ-26, DSM 109014 | |
| 160964 | L. agilis JCM 1049, KCTC 3158 | |
| 160967 | L. agilis JCM 1050, ATCC 43616 | |
| 165567 | L. agilis JCM 7701 |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 67770 | positive | growth | 37 | mesophilic |
| 67770 | Sample typeChicken intestine |
Global distribution of 16S sequence LC260015 (>99% sequence identity) for Ligilactobacillus agilis subclade from Microbeatlas ![]()
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 67770 | Lactobacillus agilis gene for 16S ribosomal RNA, partial sequence, strain: JCM 1048 | LC260015 | 1504 | 1601 |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Stable Recombinant-Gene Expression from a Ligilactobacillus Live Bacterial Vector via Chromosomal Integration. | Vezina B, Allnutt T, Keyburn AL, Wade B, Van TTH, Johanesen P, Lyras D, Moore RJ. | Appl Environ Microbiol | 10.1128/aem.00392-21 | 2021 | |
| 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 | ||
| Pathogenicity | The potential of short-chain fatty acid epigenetic regulation in chronic low-grade inflammation and obesity. | Kopczynska J, Kowalczyk M. | Front Immunol | 10.3389/fimmu.2024.1380476 | 2024 | |
| Metabolism | Selected microbial groups and short-chain fatty acids profile in a simulated chicken cecum supplemented with two strains of Lactobacillus. | Meimandipour A, Shuhaimi M, Soleimani AF, Azhar K, Hair-Bejo M, Kabeir BM, Javanmard A, Muhammad Anas O, Yazid AM | Poult Sci | 10.3382/ps.2009-00495 | 2010 | |
| Metabolism | In vitro fermentation of broiler cecal content: the role of lactobacilli and pH value on the composition of microbiota and end products fermentation. | Meimandipour A, Shuhaimi M, Hair-Bejo M, Azhar K, Kabeir BM, Rasti B, Yazid AM | Lett Appl Microbiol | 10.1111/j.1472-765X.2009.02674.x | 2009 | |
| Phylogeny | Effects of two probiotic Lactobacillus strains on jejunal and cecal microbiota of broiler chicken under acute heat stress condition as revealed by molecular analysis of 16S rRNA genes. | Lan PT, Sakamoto M, Benno Y | Microbiol Immunol | 10.1111/j.1348-0421.2004.tb03620.x | 2004 | |
| Phylogeny | Impact of two probiotic Lactobacillus strains feeding on fecal lactobacilli and weight gains in chicken. | Lan PT, Binh le T, Benno Y | J Gen Appl Microbiol | 10.2323/jgam.49.29 | 2003 |
| #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 ) |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #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 . |
| #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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https://doi.org/10.13145/bacdive160961.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data