Anaerovibrio slackiae (DSM 108025, WCA-693-APC-5D-A, JCM 34377)

Name: Anaerovibrio slackiae (DSM 108025, WCA-693-APC-5D-A, JCM 34377)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 158899

Type strain

Strain Designation WCA-693-APC-5D-A

Culture col. no. DSM 108025 WCA-693-APC-5D-A JCM 34377

NCBI tax ID(s) 2652309

Special Collections DSMZ JCM Pig DZIF

History DSMZ <- T. Clavel , TU Munich, Freising-Weihenstephan, Germany; WCA-693-APC-5D-A JCM <-- B. Abt; DSMZ, Germany; DSM 108025 (=WCA-693-APC-5D-A) <-- T. Clavel; RWTH Aachen, Germany.

Links

Anaerovibrio slackiae WCA-693-APC-5D-A is a bacterium that was isolated from pig, APC, 24 weeks old, feces.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 407740

JCM 34377,DSM 108025

@ref 20215

Last LPSN update 2026-05-29 08:44:04

Domain Bacteria

Phylum Bacillota

Class Negativicutes

Order Selenomonadales

Family Selenomonadaceae

Genus Anaerovibrio

Species Anaerovibrio slackiae

Full scientific name Anaerovibrio slackiae Wylensek et al. 2021

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
65721	FASTIDIOUS ANAEROBE BROTH (DSMZ Medium 1203a)		Medium recipe at MediaDive	Name: FASTIDIOUS ANAEROBE BROTH (DSMZ Medium 1203a) Composition: Fastidious Anaerobe Basal Broth 35.4 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
65721	positive	growth	37
67770	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	anaerobe	93.203
125439	anaerobe	99.594

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
65721	pig, APC, 24 weeks old, feces	Kranzberg (Bavaria)	Germany	DEU	Europe
67770	Feces of an APC^1311/+ pig	Freising	Germany	DEU	Europe

Taxonmaps

69479

Global distribution of 16S sequence MN537540 (>99% sequence identity) for Anaerovibrio from Microbeatlas

Aquatic Samples	367
Soil Samples	461
Animal Samples	21005
Plant Samples	192
Total Samples	22025

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM969558v1 assembly for Anaerovibrio slackiae WCA-693-APC-5D-A	contig	GCA_009695585	2606639.3	2936390555	2652309	62.55

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
65721	Anaerovibrio slackiae strain WCA-693-APC-5D-A 16S ribosomal RNA gene, partial sequence	MN537540	1504		2652309

GC content

@ref	GC-content (mol%)	Method
67770	48.7	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM969558v1 assembly for Anaerovibrio slackiae WCA-693-APC-5D-A
BV-BRC: 2606639.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	99.59	no
125439	gram_stain	BacteriaNetⓘ	positive	59.16	no
125439	motility	BacteriaNetⓘ	no	68.78	no
125439	spore_formation	BacteriaNetⓘ	no	87.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Veillonellaceae bacterium WCA-693-APC-5D-A
PATRIC: 2606639.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	86.55	no
125438	anaerobic	anaerobicⓘ	yes	93.20	no
125438	spore-forming	spore-formingⓘ	no	64.52	no
125438	aerobic	aerobicⓘ	no	93.80	no
125438	thermophilic	thermophileⓘ	no	85.27	no
125438	flagellated	motile2+ⓘ	yes	69.33	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 )
#65721	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 108025
#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) .
#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 .
#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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