Flavobacterium succinicans (DSM 4002, IAM 14311, IFO 14905)

Name: Flavobacterium succinicans (DSM 4002, IAM 14311, IFO 14905)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 5526

Type strain

Strain Designation 8

Culture col. no. DSM 4002 IAM 14311 IFO 14905 NBRC 14905 8 7 more

NCBI tax ID(s) 1450525 29536

Special Collections DSMZ JCM CIP

History <- H. Reichenbach, Cy su3 <- J.T. Staley <- R.L. Anderson, E.J. Ordal, 8 (Cytophaga succinicans) IAM 14311 <-- IFO 14905 <-- DSM 4002 ("Flexibacter succinicans") <-- H. Reichenbach Cy su3 <-- J. T. Staley <-- R. L. Anderson and E. J. Ordal 8. CIP <- 1996, J.F. Bernardet, INRA, Jouy en Josas, France <- NCIMB <- H. Reichenbach: strain Cy su 3 <- J.T. Staley <- R.L. Anderson and E.J. Ordal: strain 8, Washington Univ., USA

Links

Flavobacterium succinicans 8 is a facultative anaerobe, mesophilic, Gram-negative prokaryote that was isolated from eroded caudal fin of a fingerling chinook salmon.

Gram-negative rod-shaped facultative anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 10490

LMG 10402,DSM 4002,IFO 14905,NCIMB 2277,CIP 104744,IAM 14311,ATCC BAA-619,NBRC 14905,JCM 21151

@ref 20215

Last LPSN update 2026-02-09 11:18:59

Domain Bacteria

Phylum Bacteroidota

Class Flavobacteriia

Order Flavobacteriales

Family Flavobacteriaceae

Genus Flavobacterium

Species Flavobacterium succinicans

Full scientific name Flavobacterium succinicans (Reichenbach 1989 ex Anderson and Ordal 1961) Bernardet et al. 1996

Synonyms (1)

Cytophaga succinicans

BacDive ID	Other strains from **Flavobacterium succinicans** (2)	Type strain
5525	F. succinicans 14, DSM 4001, Cy su1
5527	F. succinicans 16, DSM 4003, Cy su4

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
123365	negative	rod-shaped
125438			93.75
125438	negative		98
125439	negative		99.9

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
1569	CY-AGAR (DSMZ Medium 67)	Medium recipe at MediaDive	Name: CY-AGAR (DSMZ Medium 67) Composition: Agar 15.0 g/l Casitone 3.0 g/l CaCl2 x 2 H2O 1.36 g/l Yeast extract 1.0 g/l Distilled water
39086	MEDIUM 3 - Columbia agar		Columbia agar (39.000 g);distilled water (1000.000 ml)
1569	R2A MEDIUM (DSMZ Medium 830)	Medium recipe at MediaDive	Name: R2A MEDIUM (DSMZ Medium 830) Composition: Agar 15.0 g/l Casamino acids 0.5 g/l Starch 0.5 g/l Glucose 0.5 g/l Proteose peptone 0.5 g/l Yeast extract 0.5 g/l K2HPO4 0.3 g/l Na-pyruvate 0.3 g/l MgSO4 x 7 H2O 0.05 g/l Distilled water
123365	CIP Medium 72	Medium recipe at CIP
123365	CIP Medium 3	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
1569	positive	growth	28	mesophilic
39086	positive	growth	22	psychrophilic
67770	positive	growth	25	mesophilic
123365	positive	growth	10-22	psychrophilic
123365	negative	growth	30
123365	negative	growth	41

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
1569	facultative anaerobe
123365	facultative anaerobe
125439	aerobe	95.8

Spore formation

@ref	Spore formation	Confidence
125438		94.458
125439		99.7

Halophily

@ref	Salt	Growth	Tested relation	Concentration
123365	NaCl	positive	growth	0 %
123365	NaCl		growth	2 %
123365	NaCl		growth	4 %
123365	NaCl		growth	6 %
123365	NaCl		growth	8 %
123365	NaCl		growth	10 %

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68371	27613 ChEBI	amygdalin	+	builds acid from	from API 50CH acid
68371	18305 ChEBI	arbutin	-	builds acid from	from API 50CH acid
68371	17057 ChEBI	cellobiose	-	builds acid from	from API 50CH acid
123365	16947 ChEBI	citrate	-	carbon source
68371	17108 ChEBI	D-arabinose	-	builds acid from	from API 50CH acid
68371	18333 ChEBI	D-arabitol	-	builds acid from	from API 50CH acid
68371	15824 ChEBI	D-fructose	+	builds acid from	from API 50CH acid
68371	28847 ChEBI	D-fucose	-	builds acid from	from API 50CH acid
68371	12936 ChEBI	D-galactose	+	builds acid from	from API 50CH acid
68371	17634 ChEBI	D-glucose	+	builds acid from	from API 50CH acid
68371	62318 ChEBI	D-lyxose	-	builds acid from	from API 50CH acid
68371	16899 ChEBI	D-mannitol	-	builds acid from	from API 50CH acid
68371	16024 ChEBI	D-mannose	+	builds acid from	from API 50CH acid
68371	16988 ChEBI	D-ribose	-	builds acid from	from API 50CH acid
68371	17924 ChEBI	D-sorbitol	-	builds acid from	from API 50CH acid
68371	16443 ChEBI	D-tagatose	-	builds acid from	from API 50CH acid
68371	65327 ChEBI	D-xylose	-	builds acid from	from API 50CH acid
68371	17113 ChEBI	erythritol	-	builds acid from	from API 50CH acid
68371	4853 ChEBI	esculin	+	builds acid from	from API 50CH acid
68371	16813 ChEBI	galactitol	-	builds acid from	from API 50CH acid
68371	28066 ChEBI	gentiobiose	+	builds acid from	from API 50CH acid
68371	24265 ChEBI	gluconate	-	builds acid from	from API 50CH acid
123365	17234 ChEBI	glucose	-	fermentation
68371	17754 ChEBI	glycerol	-	builds acid from	from API 50CH acid
68371	28087 ChEBI	glycogen	+	builds acid from	from API 50CH acid
68371	15443 ChEBI	inulin	-	builds acid from	from API 50CH acid
68371	30849 ChEBI	L-arabinose	-	builds acid from	from API 50CH acid
68371	18403 ChEBI	L-arabitol	-	builds acid from	from API 50CH acid
68371	18287 ChEBI	L-fucose	-	builds acid from	from API 50CH acid
68371	62345 ChEBI	L-rhamnose	-	builds acid from	from API 50CH acid
68371	17266 ChEBI	L-sorbose	-	builds acid from	from API 50CH acid
68371	65328 ChEBI	L-xylose	-	builds acid from	from API 50CH acid
123365	17716 ChEBI	lactose	-	fermentation
68371	17716 ChEBI	lactose	+	builds acid from	from API 50CH acid
68371	17306 ChEBI	maltose	+	builds acid from	from API 50CH acid
68371	6731 ChEBI	melezitose	-	builds acid from	from API 50CH acid
68371	28053 ChEBI	melibiose	-	builds acid from	from API 50CH acid
68371	320061 ChEBI	methyl alpha-D-glucopyranoside	-	builds acid from	from API 50CH acid
68371	43943 ChEBI	methyl alpha-D-mannoside	-	builds acid from	from API 50CH acid
68371	74863 ChEBI	methyl beta-D-xylopyranoside	-	builds acid from	from API 50CH acid
68371	17268 ChEBI	myo-inositol	-	builds acid from	from API 50CH acid
68371	59640 ChEBI	N-acetylglucosamine	-	builds acid from	from API 50CH acid
123365	17632 ChEBI	nitrate	+	reduction
123365	16301 ChEBI	nitrite	-	reduction
68371		Potassium 2-ketogluconate	-	builds acid from	from API 50CH acid
68371	16634 ChEBI	raffinose	-	builds acid from	from API 50CH acid
68371	15963 ChEBI	ribitol	-	builds acid from	from API 50CH acid
68371	17814 ChEBI	salicin	-	builds acid from	from API 50CH acid
123365	132112 ChEBI	sodium thiosulfate	-	builds gas from
68371	28017 ChEBI	starch	+	builds acid from	from API 50CH acid
68371	17992 ChEBI	sucrose	-	builds acid from	from API 50CH acid
68371	27082 ChEBI	trehalose	-	builds acid from	from API 50CH acid
68371	32528 ChEBI	turanose	-	builds acid from	from API 50CH acid
68371	17151 ChEBI	xylitol	-	builds acid from	from API 50CH acid

Metabolite production

@ref	Chebi-ID	Metabolite	Production
123365	35581 ChEBI	indole

Enzymes

@ref	Value	Activity	Ec
68382	acid phosphatase	+	3.1.3.2	from API zym
123365	alcohol dehydrogenase	-	1.1.1.1
68382	alkaline phosphatase	+	3.1.3.1	from API zym
68382	alpha-chymotrypsin	-	3.4.21.1	from API zym
68382	alpha-fucosidase	-	3.2.1.51	from API zym
68382	alpha-galactosidase	-	3.2.1.22	from API zym
68382	alpha-glucosidase	+	3.2.1.20	from API zym
68382	alpha-mannosidase	-	3.2.1.24	from API zym
68382	beta-galactosidase	-	3.2.1.23	from API zym
123365	beta-galactosidase	+	3.2.1.23
68382	beta-glucosidase	+	3.2.1.21	from API zym
68382	beta-glucuronidase	-	3.2.1.31	from API zym
123365	caseinase	-	3.4.21.50
123365	catalase	-	1.11.1.6
68382	cystine arylamidase	+	3.4.11.3	from API zym
123365	DNase	+
68382	esterase (C 4)	+		from API zym
68382	esterase lipase (C 8)	+		from API zym
123365	gamma-glutamyltransferase	+	2.3.2.2
123365	gelatinase	-
123365	lecithinase	-
68382	leucine arylamidase	+	3.4.11.1	from API zym
68382	lipase (C 14)	-		from API zym
123365	lysine decarboxylase	-	4.1.1.18
68382	N-acetyl-beta-glucosaminidase	+	3.2.1.52	from API zym
68382	naphthol-AS-BI-phosphohydrolase	+		from API zym
123365	ornithine decarboxylase	-	4.1.1.17
123365	oxidase	-
123365	phenylalanine ammonia-lyase	-	4.3.1.24
68382	trypsin	-	3.4.21.4	from API zym
123365	tryptophan deaminase	-
123365	urease	-	3.5.1.5
68382	valine arylamidase	+		from API zym

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	adipate degradation	100	2 of 2
66794	ppGpp biosynthesis	100	4 of 4
66794	vitamin K metabolism	100	5 of 5
66794	methylglyoxal degradation	100	5 of 5
66794	sulfopterin metabolism	100	4 of 4
66794	teichoic acid biosynthesis	100	1 of 1
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	folate polyglutamylation	100	1 of 1
66794	biotin biosynthesis	100	4 of 4
66794	suberin monomers biosynthesis	100	2 of 2
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	threonine metabolism	90	9 of 10
66794	chorismate metabolism	88.89	8 of 9
66794	gluconeogenesis	87.5	7 of 8
66794	C4 and CAM-carbon fixation	87.5	7 of 8
66794	peptidoglycan biosynthesis	86.67	13 of 15
66794	palmitate biosynthesis	86.36	19 of 22
66794	heme metabolism	85.71	12 of 14
66794	tetrahydrofolate metabolism	85.71	12 of 14
66794	glutamate and glutamine metabolism	85.71	24 of 28
66794	metabolism of amino sugars and derivatives	80	4 of 5
66794	starch degradation	80	8 of 10
66794	flavin biosynthesis	80	12 of 15
66794	cellulose degradation	80	4 of 5
66794	photosynthesis	78.57	11 of 14
66794	lipid A biosynthesis	77.78	7 of 9
66794	NAD metabolism	77.78	14 of 18
66794	CO2 fixation in Crenarchaeota	77.78	7 of 9
66794	aspartate and asparagine metabolism	77.78	7 of 9
66794	leucine metabolism	76.92	10 of 13
66794	phenylalanine metabolism	76.92	10 of 13
66794	purine metabolism	76.6	72 of 94
66794	glycogen biosynthesis	75	3 of 4
66794	acetate fermentation	75	3 of 4
66794	butanoate fermentation	75	3 of 4
66794	alanine metabolism	72.41	21 of 29
66794	cysteine metabolism	72.22	13 of 18
66794	citric acid cycle	71.43	10 of 14
66794	propanol degradation	71.43	5 of 7
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	propionate fermentation	70	7 of 10
66794	pyrimidine metabolism	68.89	31 of 45
66794	d-mannose degradation	66.67	6 of 9
66794	serine metabolism	66.67	6 of 9
66794	formaldehyde oxidation	66.67	2 of 3
66794	enterobactin biosynthesis	66.67	2 of 3
66794	acetoin degradation	66.67	2 of 3
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	lipid metabolism	64.52	20 of 31
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	dTDPLrhamnose biosynthesis	62.5	5 of 8
66794	3-chlorocatechol degradation	60	3 of 5
66794	glycogen metabolism	60	3 of 5
66794	lysine metabolism	59.52	25 of 42
66794	glycolysis	58.82	10 of 17
66794	non-pathway related	57.89	22 of 38
66794	tryptophan metabolism	57.89	22 of 38
66794	methionine metabolism	57.69	15 of 26
66794	ubiquinone biosynthesis	57.14	4 of 7
66794	tyrosine metabolism	57.14	8 of 14
66794	d-xylose degradation	54.55	6 of 11
66794	histidine metabolism	51.72	15 of 29
66794	isoleucine metabolism	50	4 of 8
66794	kanosamine biosynthesis II	50	1 of 2
66794	myo-inositol biosynthesis	50	5 of 10
66794	cyclohexanol degradation	50	2 of 4
66794	dolichol and dolichyl phosphate biosynthesis	50	1 of 2
66794	cis-vaccenate biosynthesis	50	1 of 2
66794	Entner Doudoroff pathway	50	5 of 10
66794	quinate degradation	50	1 of 2
66794	glutathione metabolism	50	7 of 14
66794	ethanol fermentation	50	1 of 2
66794	coenzyme A metabolism	50	2 of 4
66794	CMP-KDO biosynthesis	50	2 of 4
66794	isoprenoid biosynthesis	50	13 of 26
66794	sulfate reduction	46.15	6 of 13
66794	vitamin B6 metabolism	45.45	5 of 11
66794	carotenoid biosynthesis	45.45	10 of 22
66794	pentose phosphate pathway	45.45	5 of 11
66794	molybdenum cofactor biosynthesis	44.44	4 of 9
66794	degradation of hexoses	44.44	8 of 18
66794	mevalonate metabolism	42.86	3 of 7
66794	reductive acetyl coenzyme A pathway	42.86	3 of 7
66794	oxidative phosphorylation	41.76	38 of 91
66794	degradation of aromatic, nitrogen containing compounds	41.67	5 of 12
66794	lipoate biosynthesis	40	2 of 5
66794	coenzyme M biosynthesis	40	4 of 10
66794	arachidonate biosynthesis	40	2 of 5
66794	phenylpropanoid biosynthesis	38.46	5 of 13
66794	phosphatidylethanolamine bioynthesis	38.46	5 of 13
66794	vitamin B1 metabolism	38.46	5 of 13
66794	ketogluconate metabolism	37.5	3 of 8
66794	arginine metabolism	37.5	9 of 24
66794	proline metabolism	36.36	4 of 11
66794	metabolism of disaccharids	36.36	4 of 11
66794	ascorbate metabolism	36.36	8 of 22
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	cyanate degradation	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	octane oxidation	33.33	1 of 3
66794	valine metabolism	33.33	3 of 9
66794	glycolate and glyoxylate degradation	33.33	2 of 6
66794	pantothenate biosynthesis	33.33	2 of 6
66794	nitrate assimilation	33.33	3 of 9
66794	vitamin B12 metabolism	32.35	11 of 34
66794	degradation of pentoses	32.14	9 of 28
66794	urea cycle	30.77	4 of 13
66794	glycine metabolism	30	3 of 10
66794	degradation of sugar acids	28	7 of 25
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	3-phenylpropionate degradation	26.67	4 of 15
66794	androgen and estrogen metabolism	25	4 of 16
66794	catecholamine biosynthesis	25	1 of 4
66794	vitamin E metabolism	25	1 of 4
66794	toluene degradation	25	1 of 4
66794	lactate fermentation	25	1 of 4
66794	degradation of sugar alcohols	25	4 of 16
66794	4-hydroxymandelate degradation	22.22	2 of 9
66794	arachidonic acid metabolism	22.22	4 of 18
66794	polyamine pathway	21.74	5 of 23

API zym

@ref	Control	Alkaline phosphatase	Esterase (C 4)	2-naphtyl caprylateEsterase Lipase (C 8)	Lipase (C 14)	L-leucyl-2-naphthylamideLeucine arylamidase	L-valyl-2-naphthylamideValine arylamidase	L-cystyl-2-naphthylamideCystine arylamidase	Trypsin	alpha- Chymotrypsin	Acid phosphatase	Naphthol-AS-BI-phosphateNaphthol-AS-BI-phosphohydrolase	alpha- Galactosidase	beta- Galactosidase	beta- Glucuronidase	alpha- Glucosidase	beta- Glucosidase	N-acetyl-beta- glucosaminidase	alpha- Mannosidase	alpha- Fucosidase
123365	-	+	+	+	-	+	+	+	-	-	+	+	-	-	-	+	+	+	-	-

API 50CHac

@ref	ControlQ	GLY	ERY	DARA	LARA	RIB	DXYL	LXYL	ADO	MDX	GAL	GLU	FRU	MNE	SBE	RHA	DUL	INO	MAN	SOR	MDM	MDG	NAG	AMY	ARB	ESC	SAL	CEL	MAL	LAC	MEL	SAC	TRE	INU	MLZ	RAF	AMD	GLYG	XLT	GEN	TUR	LYX	TAG	DFUC	LFUC	DARL	LARL	GNT	2KG	5KG
123365	not determinedn.d.	-	-	-	-	-	-	-	-	-	+	+	+	+	-	-	-	-	-	-	-	-	-	+	-	+	-	-	+	+	-	-	-	-	-	-	+	+	-	+	-	-	-	-	-	-	-	-	-	+/-

API biotype100

@ref	ControlQ	D-glucose as carbon sourceGLU	D-fructose as carbon sourceFRU	D-galactose as carbon sourceGAL	D-trehalose as carbon sourceTRE	D-mannose as carbon sourceMNE	L-sorbose as carbon sourceSBE	D-melibiose as carbon sourceMEL	sucrose as carbon sourceSAC	D-raffinose as carbon sourceRAF	maltotriose as carbon sourceMTE	maltose as carbon sourceMAL	lactose as carbon sourceLAC	lactulose as carbon sourceLTE	1-O-methyl-beta-galactopyranoside as carbon sourceMbGa	1-O-methyl-alpha-galactopyranoside as carbon sourceMaGa	D-cellobiose as carbon sourceCEL	gentiobiose as carbon sourceGEN	1-O-methyl-beta-D-glucopyranoside as carbon sourceMbGu	esculin as carbon sourceESC	D-ribose as carbon sourceRIB	L-arabinose as carbon sourceARA	D-xylose as carbon sourceXYL	palatinose as carbon sourcePLE	L-rhamnose as carbon sourceRHA	L-fucose as carbon sourceFUC	D-melezitose as carbon sourceMLZ	D-arabitol as carbon sourceDARL	L-arabitol as carbon sourceLARL	xylitol as carbon sourceXLT	dulcitol as carbon sourceDUL	D-tagatose as carbon sourceTAG	glycerol as carbon sourceGLY	myo-inositol as carbon sourceINO	D-mannitol as carbon sourceMAN	maltitol as carbon sourceMTL	D-turanose as carbon sourceTUR	D-sorbitol as carbon sourceSOR	adonitol as carbon sourceADO	hydroxyquinoline-beta-glucuronide as carbon sourceHBG	D-lyxose as carbon sourceLYX	i-erythritol as carbon sourceERY	1-O-methyl-alpha-D-glucoside as carbon sourceMDG	3-O-methyl-D-glucose as carbon source3MDG	D-saccharate as carbon sourceSAT	mucate as carbon sourceMUC	L-tartrate as carbon sourceLTAT	D-tartrate as carbon sourceDTAT	meso-tartrate as carbon sourceMTAT	D-malate as carbon sourceDMLT	L-malate as carbon sourceLMLT	cis-aconitate as carbon sourceCATE	trans-aconitate as carbon sourceTATE	tricarballylate as carbon sourceTTE	citrate as carbon sourceCIT	D-glucuronate as carbon sourceGRT	D-galacturonate as carbon sourceGAT	2-ketogluconate as carbon source2KG	5-ketogluconate as carbon source5KG	tryptophan as carbon sourceTRY	N-acetyl-D-glucosamine as carbon sourceNAG	D-gluconate as carbon sourceGNT	phenylacetate as carbon sourcePAC	protocatechuate as carbon sourcePAT	4-hydroxybenzoate as carbon sourcepOBE	quinate as carbon sourceQAT	gentisate as carbon sourceGTE	3-hydroxybenzoate as carbon sourcemOBE	benzoate as carbon sourceBAT	3-phenylpropionate as carbon sourcePPAT	m-coumarate as carbon sourceCMT	trigonelline as carbon sourceTGE	betaine as carbon sourceBET	putrescine as carbon sourcePCE	4-aminobutyrate as carbon sourceABT	histamine as carbon sourceHIN	DL-lactate as carbon sourceLAT	caprate as carbon sourceCAP	caprylate as carbon sourceCYT	L-histidine as carbon sourceHIS	succinate as carbon sourceSUC	fumarate as carbon sourceFUM	glutarate as carbon sourceGRE	DL-glycerate as carbon sourceGYT	5-aminovalerate as carbon sourceAVT	ethanolamine as carbon sourceETN	tryptamine as carbon sourceTTN	D-glucosamine as carbon sourceGLN	itaconate as carbon sourceITA	3-hydroxybutyrate as carbon source3OBU	L-aspartate as carbon sourceAPT	L-glutamate as carbon sourceGTT	L-proline as carbon sourcePRO	D-alanine as carbon sourceDALA	L-alanine as carbon sourceLALA	L-serine as carbon sourceSER	malonate as carbon sourceMNT	propionate as carbon sourcePROP	L-tyrosine as carbon sourceTYR	2-ketoglutarate as carbon source2KT
123365	not determinedn.d.	+	-	+	-	-	-	-	-	-	+	+	-	-	+	-	-	+	-	+	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Fishes	#Salmonidae
#Host Body-Site	#Limb	-

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Isolation date
1569	eroded caudal fin of a fingerling chinook salmon	Washington	USA	USA	North America
67770	Eroded caudal fin of a fingerling chinook salmon inflicted with furunculosis disease	University of Washington, Hatchery	USA	USA	North America
123365	Animal, Eroded caudal fin of a farmed chinook salmon	Washington	United States of America	USA	North America	1954

Taxonmaps

69479

Global distribution of 16S sequence AM230492 (>99% sequence identity) for Flavobacterium from Microbeatlas

Aquatic Samples	2713
Soil Samples	465
Animal Samples	986
Plant Samples	87
Total Samples	4251

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
1569	1	Risk group (German classification) According to TRBA 466
123365	1	Risk group (French classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM61167v1 assembly for Flavobacterium succinicans LMG 10402	contig	GCA_000611675	1450525.5	2585427837	1450525	69.72
67770	IMG-taxon 2693429891 annotated assembly for Flavobacterium succinicans DSM 4002	scaffold	GCA_900114945	29536.15	2693429891	29536	68.53

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Flavobacterium succinicans strain DSM 4002 16S ribosomal RNA gene, partial sequence	JX657046	1256	29536
20218	Flavobacterium succinicans gene for 16S ribosomal RNA, partial sequence, strain: IFO 14905	D12673	1256	29536
1569	Flavobacterium succinicans partial 16S rRNA gene, type strain DSM 4002	AM230492	1501	29536
1569	Flavobacterium succinicans gene for 16S rRNA, partial sequence, strain: NBRC 14905	AB680695	1439	29536

GC content

@ref	GC-content (mol%)
1569	38.0
1569	35.0

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Flavobacterium succinicans DSM 4002
NCBI: GCA_900114945

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.70	no
125439	motility	BacteriaNetⓘ	no	59.20	no
125439	gram_stain	BacteriaNetⓘ	negative	99.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	95.80	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Flavobacterium succinicans LMG 10402
PATRIC: 1450525.5

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.00	no
125438	anaerobic	anaerobicⓘ	no	96.34	no
125438	spore-forming	spore-formingⓘ	no	94.46	no
125438	aerobic	aerobicⓘ	yes	80.62	no
125438	thermophilic	thermophileⓘ	no	97.97	no
125438	flagellated	motile2+ⓘ	no	93.75	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Glitter-like iridescence within the bacteroidetes especially Cellulophaga spp.: optical properties and correlation with gliding motility.	Kientz B, Ducret A, Luke S, Vukusic P, Mignot T, Rosenfeld E.	PLoS One	10.1371/journal.pone.0052900	2012
Enzymology	Polynucleotide probes that target a hypervariable region of 16S rRNA genes to identify bacterial isolates corresponding to bands of community fingerprints.	Heuer H, Hartung K, Wieland G, Kramer I, Smalla K.	Appl Environ Microbiol	10.1128/aem.65.3.1045-1049.1999	1999
	Longitudinal Lower Airway Microbial Signatures of Acute Cellular Rejection in Lung Transplantation.	Natalini JG, Wong KK, Nelson NC, Wu BG, Rudym D, Lesko MB, Qayum S, Lewis TC, Wong A, Chang SH, Chan JCY, Geraci TC, Li Y, Wang C, Li H, Pamar P, Schnier J, Mahoney IJ, Malik T, Darawshy F, Sulaiman I, Kugler MC, Singh R, Collazo DE, Chang M, Patel S, Kyeremateng Y, McCormick C, Barnett CR, Tsay JJ, Brosnahan SB, Singh S, Pass HI, Angel LF, Segal LN.	Am J Respir Crit Care Med	10.1164/rccm.202309-1551oc	2024
Phylogeny	Baseline microbiota of blueberries, soil, and irrigation water from blueberry farms located in three geographical regions.	Abdallah-Ruiz A, Esteban-Perez C, White SB, Schilling W, Zhang X, Stafne ET, Rodriguez-Magana A, Pena-Baracaldo F, Moreno-Ortiz CA, Silva JL.	Heliyon	10.1016/j.heliyon.2024.e40762	2024
Phylogeny	Unveiling the Wheat Microbiome under Varied Agricultural Field Conditions.	Jaiswal S, Aneja B, Jagannadham J, Pandey B, Chhokar RS, Gill SC, Ahlawat OP, Kumar A, Angadi UB, Rai A, Tiwari R, Iquebal MA, Kumar D.	Microbiol Spectr	10.1128/spectrum.02633-22	2022
	Bacterial community dynamics and associated genes in hydrocarbon contaminated soil during bioremediation using brewery spent grain.	Nnadi MO, Bingle L, Thomas K.	Access Microbiol	10.1099/acmi.0.000519.v3	2023
	Bee pollen in zebrafish diet affects intestinal microbiota composition and skin cutaneous melanoma development.	Di Chiacchio IM, Gomez-Abenza E, Paiva IM, de Abreu DJM, Rodriguez-Vidal JF, Carvalho EEN, Carvalho SM, Solis-Murgas LD, Mulero V.	Sci Rep	10.1038/s41598-022-14245-3	2022
	From the Andes to the desert: 16S rRNA metabarcoding characterization of aquatic bacterial communities in the Rimac river, the main source of water for Lima, Peru.	Romero PE, Calla-Quispe E, Castillo-Vilcahuaman C, Yokoo M, Fuentes-Rivera HL, Ramirez JL, Ampuero A, Ibanez AJ, Wong P.	PLoS One	10.1371/journal.pone.0250401	2021
	Environmental DNA as an innovative technique to identify the origins of falsified antimalarial tablets-a pilot study of the pharmabiome.	Young JM, Liddicoat C, van Dijk KJ, Tabernero P, Caillet C, White NJ, Linacre A, Austin JJ, Newton PN.	Sci Rep	10.1038/s41598-022-25196-0	2022
	Predominant Microbial Colonizers in the Root Endosphere and Rhizosphere of Turfgrass Systems: Pseudomonas veronii, Janthinobacterium lividum, and Pseudogymnoascus spp.	Xia Q, Rufty T, Shi W.	Front Microbiol	10.3389/fmicb.2021.643904	2021
	Skin and gut microbiomes of tadpoles vary differently with host and water environment: a short-term experiment using 16S metabarcoding.	Santos B, Martins FMS, Sabino-Pinto J, Licata F, Crottini A.	Sci Rep	10.1038/s41598-023-43340-2	2023
	Identification of microbial signatures linked to oilseed rape yield decline at the landscape scale.	Hilton S, Picot E, Schreiter S, Bass D, Norman K, Oliver AE, Moore JD, Mauchline TH, Mills PR, Teakle GR, Clark IM, Hirsch PR, van der Gast CJ, Bending GD.	Microbiome	10.1186/s40168-020-00972-0	2021
	Lung and Gut Microbiome in COPD.	Karakasidis E, Kotsiou OS, Gourgoulianis KI.	J Pers Med	10.3390/jpm13050804	2023
	Atlantic Salmon (Salmo salar) Transfer to Seawater by Gradual Salinity Changes Exhibited an Increase in The Intestinal Microbial Abundance and Richness.	Morales-Rivera MF, Valenzuela-Miranda D, Nunez-Acuna G, Benavente BP, Gallardo-Escarate C, Valenzuela-Munoz V.	Microorganisms	10.3390/microorganisms11010076	2022
	Effect of biomass immobilization and reduced graphene oxide on the microbial community changes and nitrogen removal at low temperatures.	Banach-Wisniewska A, Tomaszewski M, Hellal MS, Ziembinska-Buczynska A.	Sci Rep	10.1038/s41598-020-80747-7	2021
	Age-related compositional changes and correlations of gut microbiome, serum metabolome, and immune factor in rats.	Zhang X, Yang Y, Su J, Zheng X, Wang C, Chen S, Liu J, Lv Y, Fan S, Zhao A, Chen T, Jia W, Wang X.	Geroscience	10.1007/s11357-020-00188-y	2021
	Toxicity and modulation of silver nanoparticles synthesized using abalone viscera hydrolysates on bacterial community in aquatic environment.	Zhang Y, Yang Z, Ni J, Ma Y, Xiong H, Jian W.	Front Microbiol	10.3389/fmicb.2022.968650	2022
Phylogeny	Bacterial Communities Associated with Different Anthurium andraeanum L. Plant Tissues.	Sarria-Guzman Y, Chavez-Romero Y, Gomez-Acata S, Montes-Molina JA, Morales-Salazar E, Dendooven L, Navarro-Noya YE.	Microbes Environ	10.1264/jsme2.me16099	2016
Pathogenicity	Lower Airway Dysbiosis Augments Lung Inflammatory Injury in Mild-to-Moderate Chronic Obstructive Pulmonary Disease.	Sulaiman I, Wu BG, Chung M, Isaacs B, Tsay JJ, Holub M, Barnett CR, Kwok B, Kugler MC, Natalini JG, Singh S, Li Y, Schluger R, Carpenito J, Collazo D, Perez L, Kyeremateng Y, Chang M, Campbell CD, Hansbro PM, Oppenheimer BW, Berger KI, Goldring RM, Koralov SB, Weiden MD, Xiao R, D'Armiento J, Clemente JC, Ghedin E, Segal LN.	Am J Respir Crit Care Med	10.1164/rccm.202210-1865oc	2023
Genetics	Bacterial Diversity of Diabetic Foot Ulcers: Current Status and Future Prospectives.	Sadeghpour Heravi F, Zakrzewski M, Vickery K, G Armstrong D, Hu H.	J Clin Med	10.3390/jcm8111935	2019
	Changes to the Bacterial Microbiome in the Rhizosphere and Root Endosphere of Persea americana (Avocado) Treated With Organic Mulch and a Silicate-Based Mulch or Phosphite, and Infested With Phytophthora cinnamomi.	Farooq QUA, Hardy GESJ, McComb JA, Thomson PC, Burgess TI.	Front Microbiol	10.3389/fmicb.2022.870900	2022
Genetics	Effects of Dysbiosis and Dietary Manipulation on the Digestive Microbiota of a Detritivorous Arthropod.	Bredon M, Depuydt E, Brisson L, Moulin L, Charles C, Haenn S, Moumen B, Bouchon D.	Microorganisms	10.3390/microorganisms9010148	2021
	Coupled DNA-labeling and sequencing approach enables the detection of viable-but-non-culturable Vibrio spp. in irrigation water sources in the Chesapeake Bay watershed.	Malayil L, Chattopadhyay S, Mongodin EF, Sapkota AR.	Environ Microbiome	10.1186/s40793-021-00382-1	2021
	Factors determining microbial colonization of liquid nitrogen storage tanks used for archiving biological samples.	Bajerski F, Burger A, Glasmacher B, Keller ERJ, Muller K, Muhldorfer K, Nagel M, Rudel H, Muller T, Schenkel J, Overmann J.	Appl Microbiol Biotechnol	10.1007/s00253-019-10242-1	2020
Phylogeny	Gut microbiome of century-old snail specimens stable across time in preservation.	Chalifour BN, Elder LE, Li J.	Microbiome	10.1186/s40168-022-01286-z	2022
	Evaluating Sardinella brasiliensis quality indicators through the quantification of histamine and bacterial communities.	de Lira AD, de Castro IMS, Mann MB, Mallmann LP, Kothe CI, Varela APM, Frazzon APG, Frazzon J.	Heliyon	10.1016/j.heliyon.2020.e04461	2020
Phylogeny	Members of the Cytophaga-Flavobacterium-Bacteroides phylum as intracellular bacteria of acanthamoebae: proposal of 'Candidatus Amoebophilus asiaticus'.	Horn M, Harzenetter MD, Linner T, Schmid EN, Muller KD, Michel R, Wagner M.	Environ Microbiol	10.1046/j.1462-2920.2001.00210.x	2001
Pathogenicity	Host Response to the Lung Microbiome in Chronic Obstructive Pulmonary Disease.	Sze MA, Dimitriu PA, Suzuki M, McDonough JE, Campbell JD, Brothers JF, Erb-Downward JR, Huffnagle GB, Hayashi S, Elliott WM, Cooper J, Sin DD, Lenburg ME, Spira A, Mohn WW, Hogg JC.	Am J Respir Crit Care Med	10.1164/rccm.201502-0223oc	2015
	Bioinformatic Analysis Reveals Conservation of Intrinsic Disorder in the Linker Sequences of Prokaryotic Dual-family Immunophilin Chaperones.	Barik S.	Comput Struct Biotechnol J	10.1016/j.csbj.2017.12.002	2018
Phylogeny	Moving Beyond the Host: Unraveling the Skin Microbiome of Endangered Costa Rican Amphibians.	Jimenez RR, Alvarado G, Estrella J, Sommer S.	Front Microbiol	10.3389/fmicb.2019.02060	2019
	Emerging flavobacterial infections in fish: A review.	Loch TP, Faisal M.	J Adv Res	10.1016/j.jare.2014.10.009	2015
	Current and past strategies for bacterial culture in clinical microbiology.	Lagier JC, Edouard S, Pagnier I, Mediannikov O, Drancourt M, Raoult D.	Clin Microbiol Rev	10.1128/cmr.00110-14	2015
Genetics	Pangenome analysis provides insights into the genetic diversity, metabolic versatility, and evolution of the genus Flavobacterium.	Kim M, Cha IT, Lee KE, Li M, Park SJ.	Microbiol Spectr	10.1128/spectrum.01003-23	2023
	LolA and LolB are conserved in Bacteroidota and are crucial for gliding motility and Type IX secretion.	De Smet T, Baland E, Giovannercole F, Mignon J, Lizen L, Dugauquier R, Lauber F, Dieu M, Lima-Mendez G, Michaux C, Devos D, Renzi F.	Commun Biol	10.1038/s42003-025-07817-2	2025
Metabolism	A genetic insight into peptide and amino-acid utilization by Propionibacterium freudenreichii LMG 16415.	Rossi F, Gatto V, Marzotto M, Torriani S.	Curr Microbiol	10.1007/s00284-005-0353-y	2006
Phylogeny	Flavobacterium glaciei sp. nov., a novel psychrophilic bacterium isolated from the China No.1 glacier.	Zhang DC, Wang HX, Liu HC, Dong XZ, Zhou PJ.	Int J Syst Evol Microbiol	10.1099/ijs.0.64564-0	2006
Enzymology	Flavobacterium plurextorum sp. nov. Isolated from Farmed Rainbow Trout (Oncorhynchus mykiss).	Zamora L, Fernandez-Garayzabal JF, Sanchez-Porro C, Palacios MA, Moore ER, Dominguez L, Ventosa A, Vela AI.	PLoS One	10.1371/journal.pone.0067741	2013
Phylogeny	Flavobacterium riviphilum sp. nov., isolated from a freshwater creek.	Sheu SY, Su CL, Chen WM	Int J Syst Evol Microbiol	10.1099/ijsem.0.003070	2018
Phylogeny	Flavobacterium keumense sp. nov., isolated from freshwater.	Ekwe AP, Ahn JH, Kim SB	Int J Syst Evol Microbiol	10.1099/ijsem.0.001920	2017
Phylogeny	Flavobacterium palustre sp. nov., isolated from wetland soil.	Feng H, Zeng Y, Huang Y	Int J Syst Evol Microbiol	10.1099/ijs.0.000054	2015

References

#1569	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 4002
#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 )
#20218	Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 )
#39086	; Curators of the CIP;
#66794	Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 )
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#68371	Automatically annotated from API 50CH acid .
#68382	Automatically annotated from API zym .
#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 .
#123365	Collection of Institut Pasteur ; Curators of the CIP; CIP 104744
#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 )

Rate our new design

Content

About us

Flavobacterium succinicans (DSM 4002, IAM 14311, IFO 14905)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Metabolite utilization

Metabolite production

Enzymes

Pathway annotation

API zym

API 50CHac

API biotype100

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000611675

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media