Flavobacterium tiangeerense (CGMCC 1.6847, JCM 15087, 0563)

Name: Flavobacterium tiangeerense (CGMCC 1.6847, JCM 15087, 0563)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 133486

Type strain

Strain Designation 0563, 563

Culture col. no. CGMCC 1.6847 JCM 15087 0563 CIP 110391 563

NCBI tax ID(s) 459471

Special Collections JCM CIP Literature strains

Links

Flavobacterium tiangeerense 0563 is an aerobe, Gram-negative, rod-shaped prokaryote that was isolated from China No.1 glacier .

Gram-negative rod-shaped aerobe genome sequence 16S sequence

Name and taxonomic classification

SI-ID 363757

JCM 15087,CGMCC 1.6847,CIP 110391

@ref 20215

Last LPSN update 2025-12-16 10:01:48

Domain Pseudomonadati

Phylum Bacteroidota

Class Flavobacteriia

Order Flavobacteriales

Family Flavobacteriaceae

Genus Flavobacterium

Species Flavobacterium tiangeerense

Full scientific name Flavobacterium tiangeerense Xin et al. 2009

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
29172	negative	5.5 µm	0.45 µm	rod-shaped
125439	negative				99.9
125438					91
125438	negative				97.727
123543	negative			rod-shaped

Pigmentation

29172

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Medium link
33354	MEDIUM691 - for Flavobacterium glaciei
123543	CIP Medium 566	Medium recipe at CIP
123543	CIP Medium 691	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
29172	positive	growth	04-26
29172	positive	optimum	22.5	psychrophilic
33354	positive	growth	18	psychrophilic
67770	positive	growth	18	psychrophilic

Culture pH

@ref	Ability	Type	PH	PH range
29172	positive	optimum	7.5
29172	positive	growth	6.5-9	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
29172	aerobe
125439	obligate aerobe	97.6

Spore formation

@ref	Spore formation	Confidence
29172
125439		99.6
125438		90.785
123543

Halophily

@ref	Salt	Growth	Tested relation	Concentration
29172	NaCl	positive	growth	0-0.5 %

Observation

67770

Observationquinones: MK-6

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
29172	16449 ChEBI	alanine	+	carbon source
29172	17057 ChEBI	cellobiose	+	carbon source
29172	23652 ChEBI	dextrin	+	carbon source
29172	4853 ChEBI	esculin	+	hydrolysis
29172	17234 ChEBI	glucose	+	carbon source
29172	29987 ChEBI	glutamate	+	carbon source
29172	28087 ChEBI	glycogen	+	carbon source
29172	21217 ChEBI	L-alaninamide	+	carbon source
29172	17306 ChEBI	maltose	+	carbon source
29172	37684 ChEBI	mannose	+	carbon source
29172	18257 ChEBI	ornithine	+	carbon source
29172	26271 ChEBI	proline	+	carbon source
29172	16704 ChEBI	uridine	+	carbon source

Enzymes

@ref	Value	Activity	Ec
29172	acid phosphatase	+	3.1.3.2
29172	alkaline phosphatase	+	3.1.3.1
29172	catalase	+	1.11.1.6
29172	cytochrome oxidase	+	1.9.3.1

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
67770	China No.1 glacier (Xinjiang Uygur Autonomous Region)		China	CHN	Asia
123543	China n°1 glacier	Xinjiang Uygur	China	CHN	Asia

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
123543	1	Risk group (French classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM783035v1 assembly for Flavobacterium tiangeerense CGMCC 1.6847	scaffold	GCA_007830355	459471.3	2596583560	459471	73.48

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
29172	Flavobacterium sp. 0563 16S ribosomal RNA gene, partial sequence	EU036219	1427		459471

GC content

@ref	GC-content (mol%)	Method
29172	34.8
67770	34.8	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Flavobacterium tiangeerense CGMCC 1.6847
NCBI: GCA_007830355

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.60	no
125439	motility	BacteriaNetⓘ	no	61.60	no
125439	gram_stain	BacteriaNetⓘ	negative	99.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Flavobacterium tiangeerense CGMCC 1.6847
NCBI: GCA_007830355.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.73	yes
125438	anaerobic	anaerobicⓘ	no	98.86	no
125438	aerobic	aerobicⓘ	yes	87.51	yes
125438	spore-forming	spore-formingⓘ	no	90.79	no
125438	thermophilic	thermophileⓘ	no	97.09	yes
125438	flagellated	motile2+ⓘ	no	91.00	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Flavobacterium xueshanense sp. nov. and Flavobacterium urumqiense sp. nov., two psychrophilic bacteria isolated from glacier ice.	Dong K, Liu H, Zhang J, Zhou Y, Xin Y	Int J Syst Evol Microbiol	10.1099/ijs.0.030049-0	2011
Phylogeny	Flavobacterium tiangeerense sp. nov., a cold-living bacterium isolated from a glacier.	Xin YH, Liang ZH, Zhang DC, Liu HC, Zhang JL, Yu Y, Xu MS, Zhou PJ, Zhou YG	Int J Syst Evol Microbiol	10.1099/ijs.0.007906-0	2009

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 )
#29172	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #25596 (see below)
#33354	; Curators of the CIP;
#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) .
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#123543	Collection of Institut Pasteur ; Curators of the CIP; CIP 110391
#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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Flavobacterium tiangeerense (CGMCC 1.6847, JCM 15087, 0563)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Observation

Metabolite utilization

Enzymes

Isolation, sampling and environmental information

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_007830355

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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