Anaerotignum lactatifermentans (DSM 109233, Cla-CZ-174)

Name: Anaerotignum lactatifermentans (DSM 109233, Cla-CZ-174)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 160539

Type strain

Strain Designation Cla-CZ-174

Culture col. no. DSM 109233 Cla-CZ-174

NCBI tax ID(s) 160404

Special Collections DSMZ Chicken DZIF

History DSMZ <- T. Clavel, RWTH Aachen; Cla-CZ-174 <- C. Zenner, LMU, München;

Links

Anaerotignum lactatifermentans Cla-CZ-174 is a bacterium that was isolated from chicken cecal content, adult.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 402486

DSM 109233

@ref 20215

Last LPSN update 2026-05-29 08:44:28

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Lachnospiraceae

Genus Anaerotignum

Species Anaerotignum lactatifermentans

Full scientific name Anaerotignum lactatifermentans (van der Wielen et al. 2002) Ueki et al. 2017

Synonyms (1)

Clostridium lactatifermentans

BacDive ID	Other strains from **Anaerotignum lactatifermentans** (1)	Type strain
2806	A. lactatifermentans G17, DSM 14214, LMG 20954 (type strain)

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
67447	CHOPPED MEAT MEDIUM (DSMZ Medium 78)		Medium recipe at MediaDive	Name: CHOPPED MEAT MEDIUM (DSMZ Medium 78) Composition: Ground beef 500.0 g/l Casitone 30.0 g/l Agar 15.0 g/l Ethanol 9.5 g/l (optional) K2HPO4 5.0 g/l Yeast extract 5.0 g/l L-Cysteine HCl 0.5 g/l Haemin 0.005 g/l (optional) Resazurin 0.001 g/l Vitamin K3 0.0005 g/l (optional) Vitamin K1 (optional) NaOH (optional) Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
67447	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	anaerobe	99.425

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
67447	chicken cecal content, adult	Dietramzell (Bavaria)	Germany	DEU	Europe	47.8589	11.5894 47.8589/11.5894

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
67447	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1498293v1 assembly for Anaerotignum lactatifermentans DSM 109233	contig	GCA_014982935	160404.77	8057220567	160404	45.49

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67447	Anaerotignum lactatifermentans strain ClaCZ174 16S ribosomal RNA gene, partial sequence	MN055962.1	1484		160404

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1498293v1 assembly for Anaerotignum lactatifermentans DSM 109233
NCBI: GCA_014982935

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	99.43	no
125439	motility	BacteriaNetⓘ	no	70.53	no
125439	gram_stain	BacteriaNetⓘ	positive	47.91	no
125439	spore_formation	BacteriaNetⓘ	no	67.15	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Anaerotignum lactatifermentans strain DSM 109233
PATRIC: 160404.77

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	66.90	no
125438	anaerobic	anaerobicⓘ	yes	84.31	no
125438	spore-forming	spore-formingⓘ	yes	55.14	no
125438	aerobic	aerobicⓘ	no	93.83	no
125438	thermophilic	thermophileⓘ	no	90.56	yes
125438	flagellated	motile2+ⓘ	no	84.61	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 )
#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) .
#67447	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 109233
#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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