Ligilactobacillus agilis (DSM 102821, WCA-389-WT-5H1)

Name: Ligilactobacillus agilis (DSM 102821, WCA-389-WT-5H1)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 158984

Type strain

Strain Designation WCA-389-WT-5H1

Culture col. no. DSM 102821 WCA-389-WT-5H1

NCBI tax ID(s) 1601

Special Collections DSMZ Pig DZIF

History DSMZ <- D. Wylensek, TU Munich, Freising-Weihenstephan, Germany; WCA-389-WT-5H1

Links

Ligilactobacillus agilis WCA-389-WT-5H1 is a bacterium that was isolated from feces; pig, 3.5 month old, wild type.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 400520

DSM 102821

@ref 20215

Last LPSN update 2026-05-29 08:44:05

Domain Bacteria

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)

Lactobacillus agilis

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
160073	L. agilis Cla-CZ-26, DSM 109014
160961	L. agilis JCM 1048, ATCC 43564
160964	L. agilis JCM 1049, KCTC 3158
160967	L. agilis JCM 1050, ATCC 43616
165567	L. agilis JCM 7701

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	positive	90.01

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
65807	MRS MEDIUM (DSMZ Medium 11)		Medium recipe at MediaDive	Name: MRS MEDIUM (DSMZ Medium 11) 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)3 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
65807	WILKINS-CHALGREN ANAEROBE BROTH (DSMZ Medium 339)		Medium recipe at MediaDive	Name: WILKINS-CHALGREN ANAEROBE BROTH (DSMZ Medium 339) Composition: dehydrated Wilkins-Chalgren medium 33.0 g/l L-Cysteine HCl 0.3 g/l Sodium resazurin 0.0005 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
65807	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	anaerobe	94.527

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body Product	#Gastrointestinal tract	#Feces (Stool)
#Host	#Mammals	#Suidae (Pig,Swine)

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
65807	feces; pig, 3.5 month old, wild type	Kranzberg (Bavaria)	Germany	DEU	Europe

Taxonmaps

69479

Global distribution of 16S sequence MN537457 (>99% sequence identity) for Ligilactobacillus agilis subclade from Microbeatlas

Aquatic Samples	1961
Soil Samples	1642
Animal Samples	36795
Plant Samples	892
Total Samples	41290

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
65807	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	ASM1284366v1 assembly for Ligilactobacillus agilis WCA-389-WT-5H1	contig	GCA_012843665	1601.61	1601	55.57

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
65807	Ligilactobacillus agilis strain DSM 102821 16S ribosomal RNA gene, partial sequence	MN537457	1511		1601

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1284366v1 assembly for Ligilactobacillus agilis WCA-389-WT-5H1
NCBI: GCA_012843665

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	94.53	no
125439	motility	BacteriaNetⓘ	no	67.74	no
125439	gram_stain	BacteriaNetⓘ	variable	49.48	no
125439	spore_formation	BacteriaNetⓘ	no	73.59	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Ligilactobacillus agilis WCA-389-WT-5H1
NCBI: GCA_012843665.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	90.01	no
125438	anaerobic	anaerobicⓘ	no	82.48	no
125438	aerobic	aerobicⓘ	no	98.00	no
125438	spore-forming	spore-formingⓘ	no	79.38	no
125438	thermophilic	thermophileⓘ	no	94.33	yes
125438	flagellated	motile2+ⓘ	yes	59.83	no

Literature

References

#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 )
#65807	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 102821
#66792	Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg Overmann: Automatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information) .
#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 .
#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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