Flavobacterium aquaticum (KCTC 32196, CGMCC 1.12398, LMG 27251)

Name: Flavobacterium aquaticum (KCTC 32196, CGMCC 1.12398, LMG 27251)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 133997

Type strain

Strain Designation JC164

Culture col. no. KCTC 32196 CGMCC 1.12398 LMG 27251 JC164

NCBI tax ID(s) 1236486

Special Collections KCTC Literature strains

History <- Ch Sasikala, JNT Univ., India

Links

Flavobacterium aquaticum JC164 is an aerobe, Gram-negative, rod-shaped bacterium that was isolated from freshwater .

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

Name and taxonomic classification

SI-ID 381393

LMG 27251,KCTC 32196,CGMCC 1.12398

@ref 20215

Last LPSN update 2026-02-09 11:32:05

Domain Bacteria

Phylum Bacteroidota

Class Flavobacteriia

Order Flavobacteriales

Family Flavobacteriaceae

Genus Flavobacterium

Species Flavobacterium aquaticum

Full scientific name Flavobacterium aquaticum Subhash et al. 2013

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
31024	negative	2.5 µm	0.35 µm	rod-shaped
67771				rod-shaped
67771	negative
125439	negative				100
125438					95
125438	negative				99.25

Pigmentation

31024

Productionyes

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
67771	positive	growth	30

Culture pH

@ref	Ability	Type	PH	PH range
31024	positive	optimum	8
31024	positive	growth	6.5-10	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
67771	aerobe
125439	obligate aerobe	99

Spore formation

@ref	Spore formation	Confidence
125439		99
125438		93.785

Halophily

@ref	Salt	Growth	Tested relation	Concentration
31024	NaCl	positive	growth	0-0.5 %

Observation

31024

Observationaggregates in clumps

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
31024	30089 ChEBI	acetate	+	carbon source
31024	35391 ChEBI	aspartate	+	carbon source
31024	28757 ChEBI	fructose	+	carbon source
31024	28260 ChEBI	galactose	+	carbon source
31024	17234 ChEBI	glucose	+	carbon source
31024	17716 ChEBI	lactose	+	carbon source
31024	29864 ChEBI	mannitol	+	carbon source
31024	37684 ChEBI	mannose	+	carbon source
31024	15361 ChEBI	pyruvate	+	carbon source
31024	26546 ChEBI	rhamnose	+	carbon source
31024	17992 ChEBI	sucrose	+	carbon source

Enzymes

@ref	Value	Activity	Ec
31024	catalase	+	1.11.1.6
31024	cytochrome oxidase	+	1.9.3.1

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Freshwater
#Environmental	#Aquatic	#Lake (large)
#Environmental	#Aquatic	#Pond (small)
#Environmental	#Aquatic	#River (Creek)

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
31024	freshwater (river, lake, pond)
67771	From a water sample from a rice field at Jamdih	Mau, Uttar Pradesh	India	IND	Asia	26.1294	83.5822 26.1294/83.5822

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM325983v1 assembly for Flavobacterium aquaticum CGMCC 1.12398	scaffold	GCA_003259835	1236486.3	2718217678	1236486	73.72

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
31024	Flavobacterium aquaticum partial 16S rRNA gene, type strain JC164T, isolate B41	HE995762	1371		1236486

GC content

@ref	GC-content (mol%)	Method
31024	39.6
67771	39.6	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: Flavobacterium aquaticum CGMCC 1.12398
NCBI: GCA_003259835

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.00	no
125439	motility	BacteriaNetⓘ	no	68.40	no
125439	gram_stain	BacteriaNetⓘ	negative	100.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Flavobacterium aquaticum CGMCC 1.12398
NCBI: GCA_003259835.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.25	yes
125438	anaerobic	anaerobicⓘ	no	94.92	yes
125438	aerobic	aerobicⓘ	yes	83.21	yes
125438	spore-forming	spore-formingⓘ	no	93.79	no
125438	thermophilic	thermophileⓘ	no	97.65	yes
125438	flagellated	motile2+ⓘ	no	95.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Flavobacterium proteolyticum sp. nov., isolated from aquaculture water.	Du J, Liu Y, Pei T, Li A, Deng MR, Zhu H	Arch Microbiol	10.1007/s00203-021-02744-2	2022
Phylogeny	Flavobacterium aquaticum sp. nov., isolated from a water sample of a rice field.	Subhash Y, Sasikala C, Ramana CV	Int J Syst Evol Microbiol	10.1099/ijs.0.050047-0	2013
Phylogeny	Flavobacterium lotistagni sp. nov. and Flavobacterium celericrescens sp. nov., isolated from freshwater habitats.	Wu JH, You YX, Young CC, Kwon SW, Chen WM	Int J Syst Evol Microbiol	10.1099/ijsem.0.004682	2021
Phylogeny	Description of Flavobacterium cyclinae sp. nov. and Flavobacterium channae sp. nov., isolated from the intestines of Cyclina sinensis (Corb shell) and Channa argus (Northern snakehead).	Kang S, Lee JY, Han JE, Jeong YS, Gim DH, Bae JW	J Microbiol	10.1007/s12275-022-2075-2	2022

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 )
#27354	IJSEM 3463 2013 ( DOI 10.1099/ijs.0.050047-0 , PubMed 23543500 )
#31024	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 #27354
#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) .
#67771	Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC;
#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 aquaticum (KCTC 32196, CGMCC 1.12398, LMG 27251)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Observation

Metabolite utilization

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_003259835

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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