Bacteroides koreensis (KCTC 15520, JCM 31393, YS-aM39)

Name: Bacteroides koreensis (KCTC 15520, JCM 31393, YS-aM39)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 158670

Type strain

Strain Designation YS-aM39

Culture col. no. KCTC 15520 JCM 31393 YS-aM39

NCBI tax ID(s) 1912896

Special Collections JCM KCTC Literature strains

Bacteroides koreensis YS-aM39 is an anaerobe, Gram-negative, rod-shaped prokaryote that forms circular colonies.

Gram-negative rod-shaped colony-forming anaerobe genome sequence 16S sequence

Name and taxonomic classification

Culture Collection Numbers

KCTC 15520 JCM 31393 YS-aM39

@ref 20215

Last LPSN update 2025-12-16 10:08:04

Domain Pseudomonadati

Phylum Bacteroidota

Class Bacteroidia

Order Bacteroidales

Family Bacteroidaceae

Genus Bacteroides

Species Bacteroides koreensis

Full scientific name Bacteroides koreensis Shin et al. 2017

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
65401	negative	0.6-0.8 µm	0.3-0.4 µm	rod-shaped
125438	negative				94.379
125439	negative				98.5

Colony morphology

@ref	Colony size	Colony color	Colony shape	Medium used
65401	1.00 mm	creamy	circular	Reinforced Clostridial Medium

Culture and growth conditions

Culture medium

@ref	Name	Growth
65401	Reinforced Clostridial Medium

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
65401	positive	growth	15-40
65401	positive	optimum	37	mesophilic

Culture pH

@ref	Ability	Type	PH	PH range
65401	positive	growth	5.5-10.0	alkaliphile
65401	positive	growth	6.5

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
65401	anaerobe
125439	obligate anaerobe	99.2

Spore formation

@ref	Spore formation	Confidence
125439		99.4

Halophily

@ref	Salt	Growth	Tested relation	Concentration
65401	NaCl	positive	growth	1-2 %

Observation

@ref	Observation
65401	isolates grow in the presence of bile
65401	sole quinone is MK-10, the major polarlipid is PE, and other minor lipids are PN, six PLs (PL1-PL6) and one unidentified AL (AL2)

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
65401	22599 ChEBI	arabinose	+	assimilation
65401	17057 ChEBI	cellobiose	+	assimilation
65401	4853 ChEBI	esculin	+	hydrolysis
65401	5291 ChEBI	gelatin	+	hydrolysis
65401	17234 ChEBI	glucose	+	assimilation
65401	17234 ChEBI	glucose	+	fermentation
65401	17754 ChEBI	glycerol	-	assimilation
65401	17716 ChEBI	lactose	+	assimilation
65401	17306 ChEBI	maltose	+	assimilation
65401	29864 ChEBI	mannitol	+	assimilation
65401	37684 ChEBI	mannose	+	assimilation
65401	6731 ChEBI	melezitose	+	assimilation
65401	17632 ChEBI	nitrate	-	reduction
65401	16634 ChEBI	raffinose	+	assimilation
65401	26546 ChEBI	rhamnose	+	assimilation
65401	17814 ChEBI	salicin	-	assimilation
65401	30911 ChEBI	sorbitol	+	assimilation
65401	17992 ChEBI	sucrose	+	assimilation
65401	27082 ChEBI	trehalose	+	assimilation
65401	16199 ChEBI	urea	-	assimilation
65401	18222 ChEBI	xylose	+	assimilation

Metabolite production

@ref	Chebi-ID	Metabolite	Production
65401	35581 ChEBI	indole

Enzymes

@ref	Value	Activity	Ec
65401	6-phospho-beta-galactosidase	-	3.2.1.85
65401	alanine arylamidase	-	3.4.11.2
65401	alkaline phosphatase	-	3.1.3.1
65401	alpha-arabinosidase	-	3.2.1.55
65401	alpha-fucosidase	-	3.2.1.51
65401	alpha-galactosidase	+	3.2.1.22
65401	arginine arylamidase	-
65401	arginine dihydrolase	-	3.5.3.6
65401	beta-galactosidase	+	3.2.1.23
65401	beta-glucuronidase	-	3.2.1.31
65401	catalase	-	1.11.1.6
65401	cytochrome oxidase	-	1.9.3.1
65401	glutamyl-glutamate arylamidase	-
65401	glycin arylamidase	-
65401	histidine arylamidase	-
65401	leucine arylamidase	-	3.4.11.1
65401	leucyl glycin arylamidase	-	3.4.11.1
65401	N-acetyl-beta-glucosaminidase	+	3.2.1.52
65401	phenylalanine arylamidase	-
65401	proline-arylamidase	-	3.4.11.5
65401	pyroglutamic acid arylamidase	-
65401	serine arylamidase	-
65401	tyrosine arylamidase	-

Fatty acid profile

Metadata FA analysis

@ref

65401

Fatty acid	Percentage
C15:0 anteiso	38.2
C16:0 3OH	12.4
C15:0 iso	11
iso-C17:03-OH and/or C18:2 DMA	9.5
C16:0	5.6
C14:0	5.1
iso-C15:0 and/or unknown 13.570	4.4
C18:1 cis9	3
C13:1 cis 12 and/or C 14:0	2.8
anteiso-C17:0 3-OH	2.4
C15:0	2.2
C18:0	1.5
anteiso-C15:0 DMA	1.1

Isolation, sampling and environmental information

Taxonmaps

69479

Global distribution of 16S sequence KX025133 (>99% sequence identity) for Bacteroides ovatus from Microbeatlas

Aquatic Samples	1522
Soil Samples	195
Animal Samples	77814
Plant Samples	66
Total Samples	79597

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM734137v1 assembly for Bacteroides koreensis JCM 31393	contig	GCA_007341375	1912896.5	8017590695	1912896	58.95

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
65401	Bacteroides koreensis strain YS-aM39 16S ribosomal RNA gene, partial sequence	KX025133
124043	Bacteroides koreensis strain KCTC 15520 16S ribosomal RNA gene, partial sequence.	OR226560	1465		1912896

GC content

@ref	GC-content (mol%)	Method
65401	44.8	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Bacteroides koreensis JCM 31393
NCBI: GCA_007341375

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.40	no
125439	motility	BacteriaNetⓘ	no	77.90	no
125439	gram_stain	BacteriaNetⓘ	negative	98.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	99.20	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bacteroides koreensis strain JCM 31393
PATRIC: 1912896.5

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	94.38	yes
125438	anaerobic	anaerobicⓘ	yes	77.96	yes
125438	spore-forming	spore-formingⓘ	no	87.46	no
125438	thermophilic	thermophileⓘ	no	93.70	yes
125438	aerobic	aerobicⓘ	no	86.70	yes
125438	flagellated	motile2+ⓘ	no	88.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Bacteroides koreensis sp. nov. and Bacteroides kribbi sp. nov., two new members of the genus Bacteroides.	Shin Y, Park SJ, Paek J, Kim JS, Rhee MS, Kim H, Kook JK, Chang YH	Int J Syst Evol Microbiol	10.1099/ijsem.0.002226	2017

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 )
#65401	Yeseul Shin, Soo-Je Park, Jayoung Paek, Joong-Su Kim, Moon-Soo Rhee, Hongik Kim, Joong-Ki Kook, Young-Hyo Chang: Bacteroides koreensis sp. nov. and Bacteroides kribbi sp. nov., two new members of the genus Bacteroides. IJSEM 67: 4352 - 4357 2017 ( DOI 10.1099/ijsem.0.002226 , PubMed 28945536 )
#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) .
#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 .
#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 .

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Bacteroides koreensis (KCTC 15520, JCM 31393, YS-aM39)