Chryseobacterium binzhouense (KCTC 72529, lm2, CCTCC AB 2019126)

Name: Chryseobacterium binzhouense (KCTC 72529, lm2, CCTCC AB 2019126)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 167682

Type strain

Strain Designation lm2

Culture col. no. KCTC 72529 lm2 CCTCC AB 2019126

NCBI tax ID(s) 2593646

Special Collections Literature strains KCTC

Links

Chryseobacterium binzhouense lm2 is an aerobe, Gram-negative, rod-shaped bacterium that forms circular colonies and was isolated from activated sludge obtained wastewater treatment plant in Binzhou .

Gram-negative rod-shaped colony-forming aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 287526

KCTC 72529

@ref 20215

Last LPSN update 2026-05-29 08:46:12

Domain Bacteria

Phylum Bacteroidota

Class Flavobacteriia

Order Flavobacteriales

Family Weeksellaceae

Genus Chryseobacterium

Species Chryseobacterium binzhouense

Full scientific name Chryseobacterium binzhouense Meng et al. 2020

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
69550	negative	1.4-1.8 µm	0.6-0.9 µm	rod-shaped
125438	negative				98.931
125439	negative				97.691

Colony morphology

@ref	Colony size	Colony color	Colony shape	Incubation period	Medium used
69550	1.0-1.5 mm	golden pigmented	circular	2 days	LB (Luria-Bertani) MEDIUM (DSMZ Medium 381)

Culture and growth conditions

Culture medium

@ref	Name	Growth
69550	LB (Luria-Bertani) MEDIUM

Culture temp

@ref	Growth	Type	Temperature (°C)
69550	positive	growth	15-45
69550	positive	optimum	30

Culture pH

@ref	Ability	Type	PH
69550	positive	optimum	7.0-7.5
69550	positive	growth	6.5-8.0

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
69550	aerobe
125439	obligate aerobe	94.932

Spore formation

@ref	Spore formation	Confidence
125439		98.358
125438		90.745

Halophily

@ref	Salt	Growth	Tested relation	Concentration
69550	NaCl	positive	growth	0-5.0 %(w/v)
69550	NaCl	positive	optimum	0-2.0 %

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
69550	73918 ChEBI	3-methylglucose	-	oxidation
69550	58143 ChEBI	5-dehydro-D-gluconate	+	builds acid from
69550	17925 ChEBI	alpha-D-glucose	+	carbon source
69550	27613 ChEBI	amygdalin	-	builds acid from
69550	17057 ChEBI	cellobiose	-	builds acid from
69550	17057 ChEBI	cellobiose	+	carbon source
69550	16947 ChEBI	citrate	-	assimilation
69550	17108 ChEBI	D-arabinose	-	builds acid from
69550	78697 ChEBI	D-fructose 6-phosphate	-	builds acid from
69550	78697 ChEBI	D-fructose 6-phosphate	+	carbon source
69550	28847 ChEBI	D-fucose	-	builds acid from
69550	28847 ChEBI	D-fucose	-	oxidation
69550	12936 ChEBI	D-galactose	-	builds acid from
69550	12936 ChEBI	D-galactose	-	oxidation
69550	17634 ChEBI	D-glucose	+	builds acid from
69550	14314 ChEBI	D-glucose 6-phosphate	-	oxidation
69550	16024 ChEBI	D-mannose	+	builds acid from
69550	16024 ChEBI	D-mannose	+	carbon source
69550	16988 ChEBI	D-ribose	-	builds acid from
69550	16443 ChEBI	D-tagatose	-	builds acid from
69550	65327 ChEBI	D-xylose	-	builds acid from
69550	23652 ChEBI	dextrin	+	carbon source
69550	17113 ChEBI	erythritol	-	builds acid from
69550		esculin hydrolysate	+	builds acid from
69550	5291 ChEBI	gelatin	+	carbon source
69550	28066 ChEBI	gentiobiose	+	builds acid from
69550	28066 ChEBI	gentiobiose	+	carbon source
69550	28087 ChEBI	glycogen	+	builds acid from
69550	70744 ChEBI	glycyl-L-proline	+	carbon source
69550	70744 ChEBI	glycyl-L-proline	+	oxidation
69550	16136 ChEBI	hydrogen sulfide	-	assimilation
69550	35581 ChEBI	indole	-
69550	16087 ChEBI	isocitrate	-	assimilation
69550	30849 ChEBI	L-arabinose	-	builds acid from
69550	16467 ChEBI	L-arginine	+	carbon source
69550	16467 ChEBI	L-arginine	+	oxidation
69550	29991 ChEBI	L-aspartate	+	carbon source
69550	18287 ChEBI	L-fucose	-	builds acid from
69550	18287 ChEBI	L-fucose	+	carbon source
69550	29985 ChEBI	L-glutamate	+	carbon source
69550	62345 ChEBI	L-rhamnose	-	oxidation
69550	17266 ChEBI	L-sorbose	-	builds acid from
69550	65328 ChEBI	L-xylose	-	builds acid from
69550	17306 ChEBI	maltose	+	builds acid from
69550	17306 ChEBI	maltose	+	carbon source
69550	29864 ChEBI	mannitol	-	builds acid from
69550	28053 ChEBI	melibiose	-	oxidation
69550	506227 ChEBI	N-acetylglucosamine	-	builds acid from
69550	15361 ChEBI	pyruvate	-	hydrolysis
69550	30911 ChEBI	sorbitol	-	builds acid from
69550	9215 ChEBI	spectinomycin	-	oxidation
69550	28017 ChEBI	starch	+	builds acid from
69550	45735 ChEBI	troleandomycin	+	carbon source

Metabolite production

@ref	Chebi-ID	Metabolite	Production
69550	16136 ChEBI	hydrogen sulfide
69550	35581 ChEBI	indole

Enzymes

@ref	Value	Activity	Ec
69550	acid phosphatase	+	3.1.3.2
69550	alkaline phosphatase	+	3.1.3.1
69550	alpha-glucosidase	-	3.2.1.20
69550	beta-glucosidase	-	3.2.1.21
69550	beta-N-acetylgalactosaminidase	-
69550	catalase	+	1.11.1.6
69550	chymotrypsin	+	3.4.4.5
69550	cystine arylamidase	+	3.4.11.3
69550	cytochrome oxidase	+	1.9.3.1
69550	esterase (C 4)	+
69550	esterase Lipase (C 8)	+
69550	gelatinase	+
69550	leucine arylamidase	+	3.4.11.1
69550	naphthol-AS-BI-phosphohydrolase	+
69550	trypsin	-	3.4.21.4
69550	tryptophan deaminase	+	4.1.99.1
69550	urease	-	3.5.1.5
69550	valine arylamidase	+

Fatty acid profile

Metadata FA analysis

@ref

69550

Fatty acid	Percentage
C15:0 iso	40.7
C17:1 iso w9c	15.6
C17:0 iso 3OH	13.9
C15:0 iso 2OH/ C16:1 w7c	6.8
C16:0	3.5
C15:0 iso 3OH	3.2
C18:1 w9c	1.7
C16:0 iso	1.5
C13:0 iso	1.4
C16:0 3OH	1.3
C17:0 iso	1.2
C16:1 w5c	1.1

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
69550	activated sludge obtained wastewater treatment plant in Binzhou (Shandong Province, PR China)	Shandong Province	China	CHN	Asia

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	ASM747454v1 assembly for Chryseobacterium binzhouense LM2	contig	GCA_007474545	2593646.3	2593646	74.64

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Chryseobacterium binzhouense 16S ribosomal RNA gene, partial sequence	MK226528	1415		2593646

GC content

@ref	GC-content (mol%)	Method
69550	34.9	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM747454v1 assembly for Chryseobacterium binzhouense LM2
NCBI: GCA_007474545

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	motility	BacteriaNetⓘ	no	81.00	no
125439	gram_stain	BacteriaNetⓘ	negative	97.69	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	94.93	no
125439	spore_formation	BacteriaNetⓘ	no	98.36	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Chryseobacterium binzhouense LM2
NCBI: GCA_007474545.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.93	no
125438	anaerobic	anaerobicⓘ	no	97.30	yes
125438	aerobic	aerobicⓘ	yes	84.33	yes
125438	spore-forming	spore-formingⓘ	no	90.75	no
125438	thermophilic	thermophileⓘ	no	96.64	yes
125438	flagellated	motile2+ⓘ	no	89.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Chryseobacterium oryzae sp. nov. and Chryseobacterium suipulveris sp. nov., isolated from Andong sikhye and pigpen dust, respectively.	Heo J, Won M, Lee D, Kim JS, Han BH, Kim SJ, Hong SB, Kwon SW.	Int J Syst Evol Microbiol	10.1099/ijsem.0.005532	2022
Phylogeny	Chryseobacterium binzhouense sp. nov., isolated from activated sludge.	Meng D, Liu YL, Li RR, Gu PF, Fan XY, Huang ZS, Du ZJ, Li Q	Int J Syst Evol Microbiol	10.1099/ijsem.0.003800	2020

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 )
#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) .
#69550	Dong Meng, Yu-Ling Liu, Rui-Rui Li, Peng-Fei Gu, Xiang-Yu Fan, Zhao Song Huang, Zong-Jun Du and Qiang Li: Chryseobacterium binzhouense sp. nov., isolated from activated sludge. IJSEM 70: 2020 ( DOI 10.1099/ijsem.0.003800 )
#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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Chryseobacterium binzhouense (KCTC 72529, lm2, CCTCC AB 2019126)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Metabolite utilization

Metabolite production

Enzymes

Fatty acid profile

Isolation, sampling and environmental information

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_007474545

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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