Pseudopedobacter beijingensis (CGMCC 1.12329, LMG 27180, MCCC 1A01299)

Name: Pseudopedobacter beijingensis (CGMCC 1.12329, LMG 27180, MCCC 1A01299)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 168908

Type strain

Strain Designation GCS-AE-31

Culture col. no. CGMCC 1.12329 LMG 27180 MCCC 1A01299 GCS-AE-31

NCBI tax ID(s) 1207056

Links

Pseudopedobacter beijingensis GCS-AE-31 is a bacterium of the family Sphingobacteriaceae.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 366433

LMG 27180

@ref 20215

Last LPSN update 2026-05-29 08:46:29

Domain Bacteria

Phylum Bacteroidota

Class Sphingobacteriia

Order Sphingobacteriales

Family Sphingobacteriaceae

Genus Pseudopedobacter

Species Pseudopedobacter beijingensis

Full scientific name Pseudopedobacter beijingensis Cao et al. 2014

Morphology

Culture and growth conditions

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		96.603

Isolation, sampling and environmental information

Taxonmaps

69479

Global distribution of 16S sequence KC755039 (>99% sequence identity) for Pseudopedobacter beijingensis subclade from Microbeatlas

Aquatic Samples	135
Soil Samples	91
Animal Samples	118
Plant Samples	13
Total Samples	357

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
20215	1	Risk group

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	NCBI tax ID	Score
124043	ASM4267814v1 assembly for Pseudopedobacter beijingensis CGMCC 1.12329	contig	GCA_042678145	1207056	66.94

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Pseudopedobacter beijingensis strain GCS-AE-31 16S ribosomal RNA gene, partial sequence	KC755039	1493		1207056

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM4267814v1 assembly for Pseudopedobacter beijingensis CGMCC 1.12329
NCBI: GCA_042678145

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	96.60	no
125439	motility	BacteriaNetⓘ	no	80.76	no
125439	gram_stain	BacteriaNetⓘ	negative	86.46	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	69.64	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Pelobium manganitolerans gen. nov., sp. nov., isolated from sludge of a manganese mine.	Xia X, Wu S, Han Y, Liao S, Wang G	Int J Syst Evol Microbiol	10.1099/ijsem.0.001451	2016
Phylogeny	Pseudopedobacter beijingensis gen. nov., sp. nov., isolated from coking wastewater activated sludge, and reclassification of Pedobacter saltans as Pseudopedobacter saltans comb. nov.	Cao J, Lai Q, Li G, Shao Z	Int J Syst Evol Microbiol	10.1099/ijs.0.053991-0	2014

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 )
#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 .
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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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Pseudopedobacter beijingensis (CGMCC 1.12329, LMG 27180, MCCC 1A01299)

Name and taxonomic classification

Morphology

Culture and growth conditions

Physiology and metabolism

Spore formation

Isolation, sampling and environmental information

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_042678145

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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