Cite this strain

Alistipes communis (JCM 32851)

Name: Alistipes communis (JCM 32851)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164389

Type strain

Culture col. no. JCM 32851

NCBI tax ID(s) 2585118

Special Collections JCM

Links

Alistipes communis JCM 32851 is a mesophilic prokaryote that was isolated from Feces of a man in the thirties.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 133130

JCM 32851

@ref 20215

Last LPSN update 2025-12-16 10:09:27

Domain Pseudomonadati

Phylum Bacteroidota

Class Bacteroidia

Order Bacteroidales

Family Rikenellaceae

Genus Alistipes

Species Alistipes communis

Full scientific name Alistipes communis Sakamoto et al. 2020

Synonyms (1)

"Alistipes obesi"

BacDive ID	Other strains from **Alistipes communis** (2)	Type strain
159608	A. communis 5CBH24, DSM 108979, JCM 32850 (type strain)
164356	A. communis JCM 32778, CSUR P186, DSM 25724

Morphology

Cell morphology

@ref	Motility	Confidence
125438		90.875
125438		96.188
125439		99.9

Culture and growth conditions

Culture temp

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

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	anaerobe	91.826
125439	obligate anaerobe	94

Spore formation

@ref	Spore formation	Confidence
125438		95.475
125439		99.9

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
67770	Feces of a man in the thirties	Japan	JPN	Asia

Taxonmaps

69479

Global distribution of 16S sequence LC468800 (>99% sequence identity) for Alistipes communis subclade from Microbeatlas

Aquatic Samples	1636
Soil Samples	518
Animal Samples	76517
Plant Samples	101
Total Samples	78772

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	6CPBBH3 assembly for Alistipes communis 6CPBBH3	complete	GCA_006542745	2585756.3	8067823973	2585118	97.45

Genome browser: GCA_006542745

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Alistipes communis 6CPBBH3 gene for 16S ribosomal RNA, partial sequence	LC468800	1479		2585118

GC content

@ref	GC-content (mol%)	Method
67770	58.4	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Alistipes sp. 6CPBBH3
PATRIC: 2585756.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.90	no
125439	motility	BacteriaNetⓘ	yes	74.00	no
125439	gram_stain	BacteriaNetⓘ	negative	99.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	94.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Alistipes sp. 6CPBBH3
PATRIC: 2585756.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.19	no
125438	anaerobic	anaerobicⓘ	yes	91.83	no
125438	spore-forming	spore-formingⓘ	no	95.48	no
125438	aerobic	aerobicⓘ	no	93.96	no
125438	thermophilic	thermophileⓘ	no	94.66	yes
125438	flagellated	motile2+ⓘ	no	90.88	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 )
#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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