Pseudoflavonifractor sp. (JCM 32528)

Name: Pseudoflavonifractor sp. (JCM 32528)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164290

Type strain

Culture col. no. JCM 32528

NCBI tax ID(s) 1980281

Special Collections JCM

History M. Kuroda; Natl. Inst. of Infect. Dis., Japan; Choco116.

Links

JCM 32528 is a bacterium that was isolated from Fecal sample of a healthy Japanese adult.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 393277

JCM 32528

@ref 20215

Last LPSN update 2026-02-09 11:39:48

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Oscillospiraceae

Genus Pseudoflavonifractor

Full scientific name Pseudoflavonifractor Carlier et al. 2010

Morphology

Culture and growth conditions

Culture temp

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

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	anaerobe	93.081
125439	anaerobe	99.8

Isolation, sampling and environmental information

Isolation

67770

Sample typeFecal sample of a healthy Japanese adult

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
67770	ASM320295v1 assembly for Clostridiales bacterium Choco116	contig	GCA_003202955	2109689.3	2109689	48

GC content

@ref	GC-content (mol%)	Method
67770	56.6	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Clostridiales bacterium Choco116
NCBI: GCA_003202955

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	81.20	no
125439	motility	BacteriaNetⓘ	no	59.20	no
125439	gram_stain	BacteriaNetⓘ	negative	87.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	99.80	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Clostridiales bacterium Choco116
PATRIC: 2109689.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	69.18	no
125438	anaerobic	anaerobicⓘ	yes	93.08	no
125438	spore-forming	spore-formingⓘ	no	58.87	no
125438	aerobic	aerobicⓘ	no	96.22	no
125438	thermophilic	thermophileⓘ	no	91.80	no
125438	flagellated	motile2+ⓘ	no	88.82	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;
#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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