Parabacteroides acidifaciens (NBRC 113433, CGMCC 1.13558, JCM 34233)

Name: Parabacteroides acidifaciens (NBRC 113433, CGMCC 1.13558, JCM 34233)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164746

Type strain

Culture col. no. NBRC 113433 CGMCC 1.13558 JCM 34233

NCBI tax ID(s) 2290935

Special Collections JCM

History JCM <-- CGMCC 1.13558 <-- S.-J. Liu; Inst. of Microbiol., CAS, China; 426-9.

Links

Parabacteroides acidifaciens JCM 34233 is a bacterium that was isolated from Human feces.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 393598

JCM 34233,NBRC 113433

@ref 20215

Last LPSN update 2026-05-29 08:45:29

Domain Bacteria

Phylum Bacteroidota

Class Bacteroidia

Order Bacteroidales

Family Tannerellaceae

Genus Parabacteroides

Species Parabacteroides acidifaciens

Full scientific name Parabacteroides acidifaciens Wang et al. 2019

Synonyms (1)

"Parabacteroides acidifaciens"

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	98.654
125438	negative	93.636

Culture and growth conditions

Culture temp

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

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate anaerobe	94.183

Spore formation

@ref	Spore formation	Confidence
125438		92.125
125439		99.95

Observation

67770

Observationquinones: MK-9 and MK-10

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Host species
67770	Human feces	Homo sapiens

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM336371v1 assembly for Parabacteroides acidifaciens 426-9	scaffold	GCA_003363715	2290935.3	2899577955	2290935	45.82

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Parabacteroides acidifaciens strain 426-9 16S ribosomal RNA gene, partial sequence	MH697664	1376		2290935

GC content

@ref	GC-content (mol%)	Method
67770	45.9	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM336371v1 assembly for Parabacteroides acidifaciens 426-9
NCBI: GCA_003363715

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	94.18	no
125439	gram_stain	BacteriaNetⓘ	negative	98.65	no
125439	motility	BacteriaNetⓘ	no	77.51	no
125439	spore_formation	BacteriaNetⓘ	no	99.95	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Parabacteroides acidifaciens 426-9
NCBI: GCA_003363715.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	93.64	no
125438	anaerobic	anaerobicⓘ	yes	85.19	no
125438	aerobic	aerobicⓘ	no	89.68	no
125438	spore-forming	spore-formingⓘ	no	92.13	no
125438	thermophilic	thermophileⓘ	no	92.40	yes
125438	flagellated	motile2+ⓘ	no	88.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Enlightening the taxonomy darkness of human gut microbiomes with a cultured biobank.	Liu C, Du MX, Abuduaini R, Yu HY, Li DH, Wang YJ, Zhou N, Jiang MZ, Niu PX, Han SS, Chen HH, Shi WY, Wu L, Xin YH, Ma J, Zhou Y, Jiang CY, Liu HW, Liu SJ.	Microbiome	10.1186/s40168-021-01064-3	2021
Phylogeny	Parabacteroides acidifaciens sp. nov., isolated from human faeces.	Wang YJ, Xu XJ, Zhou N, Sun Y, Liu C, Liu SJ, You X	Int J Syst Evol Microbiol	10.1099/ijsem.0.003230	2019

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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Parabacteroides acidifaciens (NBRC 113433, CGMCC 1.13558, JCM 34233)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Isolation, sampling and environmental information

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_003363715

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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