Tenacibaculum maritimum (DSM 17995, ATCC 43398, IAM 14317)

Name: Tenacibaculum maritimum (DSM 17995, ATCC 43398, IAM 14317)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 5651

Type strain

Strain Designation R-2, R2

Culture col. no. DSM 17995 ATCC 43398 IAM 14317 IFO 15946 NBRC 15946 7 more

NCBI tax ID(s) 1349785 107401

Special Collections DSMZ CCUG Literature strains CIP

History <- NBRC <- IFO <- IAM <- NCIMB <- H. Wakabayashi; R-2 CIP <- 1993, NCIMB <- H. Wakabayashi, Tokyo Univ., Tokyo, Japan: strain R2

Links

Tenacibaculum maritimum R-2 is an obligate aerobe, Gram-negative, motile animal pathogen that was isolated from diseased red sea bream .

Gram-negative motile rod-shaped obligate aerobe animal pathogen genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 92565

LMG 10399,ATCC 43398,CCUG 35198,CIP 103528,LMG 11612,NCIMB 2154,NBRC-110778,NCMB 2154,CCM 3964,IAM 14317,IFO 15946,NBRC 15946,DSM 17995,JCM 21157

@ref 20215

Last LPSN update 2026-02-09 11:19:01

Domain Bacteria

Phylum Bacteroidota

Class Flavobacteriia

Order Flavobacteriales

Family Flavobacteriaceae

Genus Tenacibaculum

Species Tenacibaculum maritimum

Full scientific name Tenacibaculum maritimum (Wakabayashi et al. 1986) Suzuki et al. 2001

Synonyms (2)

Cytophaga marina
Flexibacter maritimus

BacDive ID	Other strains from **Tenacibaculum maritimum** (2)	Type strain
135276	T. maritimum B2, CIP 103529, ATCC 43397, NCIMB 2153, JCM ...
135277	T. maritimum CIP 103530, NCIMB 2158

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Flagellum arrangement	Confidence
43375	negative	1.5-30 µm	0.4-0.5 µm	rod-shaped	gliding
120835	negative			rod-shaped
125439	negative					97
125438						93.512
125438	negative					98

Colony morphology

@ref	Colony size	Colony color	Incubation period
43375	5 mm	yellow	5 days
52586			2 days

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
7325	BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514)	Medium recipe at MediaDive	Name: BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514) Composition: NaCl 19.45 g/l MgCl2 5.9 g/l Bacto peptone 5.0 g/l Na2SO4 3.24 g/l CaCl2 1.8 g/l Yeast extract 1.0 g/l KCl 0.55 g/l NaHCO3 0.16 g/l Fe(III) citrate 0.1 g/l KBr 0.08 g/l SrCl2 0.034 g/l H3BO3 0.022 g/l Na2HPO4 0.008 g/l Na-silicate 0.004 g/l NaF 0.0024 g/l (NH4)NO3 0.0016 g/l Distilled water
41729	MEDIUM 35 - for Flexibacter maritimus		Distilled water make up to (300.000 ml);Agar (10.000 g);Yeast extract (0.500 g);Sodium acetate (0.200 g);Tryptone (0.500 g);Beef extract (0.200 g);Synthetic sea solution - M0216 (700.000 ml)
120835	CIP Medium 13	Medium recipe at CIP
120835	CIP Medium 35	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
7325	positive	growth	30
41729	positive	growth	20
43375	positive	growth	15-34
52586	positive	growth	25-30
120835	positive	growth	10-30
120835	negative	growth	5
120835	negative	growth	37

Culture pH

@ref	Ability	Type	PH	PH range
43375	positive	growth	5.9-8.6	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
43375	obligate aerobe
52586	aerobe

Spore formation

@ref	Spore formation	Confidence
125439		95.4
125438		90.4

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
43375	30916 ChEBI	2-oxoglutarate	-	growth
43375	30089 ChEBI	acetate	-	growth
43375	2509 ChEBI	agar	-	degradation
43375	16150 ChEBI	benzoate	-	growth
43375		casamino acids	+	growth
43375		casein	+	degradation
43375	62968 ChEBI	cellulose	-	degradation
43375	16947 ChEBI	citrate	-	growth
43375	16991 ChEBI	dna	+	degradation
43375	4853 ChEBI	esculin	-	degradation
43375	16236 ChEBI	ethanol	-	growth
43375	29806 ChEBI	fumarate	-	growth
43375	5291 ChEBI	gelatin	-	degradation
43375	17754 ChEBI	glycerol	-	growth
43375	15603 ChEBI	L-leucine	-	growth
43375	30924 ChEBI	L-tartrate	-	growth
43375	25115 ChEBI	malate	-	growth
43375	17790 ChEBI	methanol	-	growth
43375	17632 ChEBI	nitrate	+	reduction
120835	17632 ChEBI	nitrate	-	reduction
120835	16301 ChEBI	nitrite	+	reduction
43375	17272 ChEBI	propionate	-	growth
43375	15361 ChEBI	pyruvate	-	growth
120835	132112 ChEBI	sodium thiosulfate	-	builds gas from
43375	28017 ChEBI	starch	-	degradation
43375	30031 ChEBI	succinate	-	growth
43375		tryptone	+	growth
43375	53426 ChEBI	tween 80	+	degradation
43375	18186 ChEBI	tyrosine	+	degradation

Metabolite production

@ref	Chebi-ID	Metabolite	Production
120835	35581 ChEBI	indole

Enzymes

@ref	Value	Activity	Ec
120835	caseinase	+	3.4.21.50
43375	catalase	+	1.11.1.6
120835	catalase	+	1.11.1.6
43375	cytochrome oxidase	+	1.9.3.1
120835	DNase	+
120835	gelatinase	+
120835	lecithinase	+
120835	oxidase	+
120835	urease	-	3.5.1.5

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	aerobactin biosynthesis	100	1 of 1
66794	vitamin K metabolism	100	5 of 5
66794	coenzyme A metabolism	100	4 of 4
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	sulfopterin metabolism	100	4 of 4
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	adipate degradation	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	reductive acetyl coenzyme A pathway	100	7 of 7
66794	palmitate biosynthesis	100	22 of 22
66794	suberin monomers biosynthesis	100	2 of 2
66794	kanosamine biosynthesis II	100	2 of 2
66794	folate polyglutamylation	100	1 of 1
66794	biotin biosynthesis	100	4 of 4
66794	ppGpp biosynthesis	100	4 of 4
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	threonine metabolism	90	9 of 10
66794	lipid A biosynthesis	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	C4 and CAM-carbon fixation	87.5	7 of 8
66794	gluconeogenesis	87.5	7 of 8
66794	isoleucine metabolism	87.5	7 of 8
66794	leucine metabolism	84.62	11 of 13
66794	phenylalanine metabolism	84.62	11 of 13
66794	vitamin B1 metabolism	84.62	11 of 13
66794	NAD metabolism	83.33	15 of 18
66794	methylglyoxal degradation	80	4 of 5
66794	propionate fermentation	80	8 of 10
66794	cellulose degradation	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	tetrahydrofolate metabolism	78.57	11 of 14
66794	citric acid cycle	78.57	11 of 14
66794	heme metabolism	78.57	11 of 14
66794	photosynthesis	78.57	11 of 14
66794	valine metabolism	77.78	7 of 9
66794	serine metabolism	77.78	7 of 9
66794	aspartate and asparagine metabolism	77.78	7 of 9
66794	CO2 fixation in Crenarchaeota	77.78	7 of 9
66794	glycogen biosynthesis	75	3 of 4
66794	lactate fermentation	75	3 of 4
66794	CMP-KDO biosynthesis	75	3 of 4
66794	acetate fermentation	75	3 of 4
66794	tryptophan metabolism	73.68	28 of 38
66794	purine metabolism	72.34	68 of 94
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	ubiquinone biosynthesis	71.43	5 of 7
66794	glutamate and glutamine metabolism	71.43	20 of 28
66794	propanol degradation	71.43	5 of 7
66794	histidine metabolism	68.97	20 of 29
66794	pyrimidine metabolism	68.89	31 of 45
66794	lipid metabolism	67.74	21 of 31
66794	molybdenum cofactor biosynthesis	66.67	6 of 9
66794	lysine metabolism	66.67	28 of 42
66794	octane oxidation	66.67	2 of 3
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	flavin biosynthesis	66.67	10 of 15
66794	formaldehyde oxidation	66.67	2 of 3
66794	d-mannose degradation	66.67	6 of 9
66794	methane metabolism	66.67	2 of 3
66794	acetoin degradation	66.67	2 of 3
66794	methionine metabolism	65.38	17 of 26
66794	tyrosine metabolism	64.29	9 of 14
66794	vitamin B6 metabolism	63.64	7 of 11
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	alanine metabolism	62.07	18 of 29
66794	cysteine metabolism	61.11	11 of 18
66794	arachidonate biosynthesis	60	3 of 5
66794	glycolysis	58.82	10 of 17
66794	arginine metabolism	58.33	14 of 24
66794	non-pathway related	57.89	22 of 38
66794	nitrate assimilation	55.56	5 of 9
66794	pentose phosphate pathway	54.55	6 of 11
66794	proline metabolism	54.55	6 of 11
66794	urea cycle	53.85	7 of 13
66794	sulfate reduction	53.85	7 of 13
66794	dolichol and dolichyl phosphate biosynthesis	50	1 of 2
66794	carotenoid biosynthesis	50	11 of 22
66794	butanoate fermentation	50	2 of 4
66794	Entner Doudoroff pathway	50	5 of 10
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	isoprenoid biosynthesis	50	13 of 26
66794	cyclohexanol degradation	50	2 of 4
66794	ethanol fermentation	50	1 of 2
66794	glycine metabolism	50	5 of 10
66794	glutathione metabolism	42.86	6 of 14
66794	mevalonate metabolism	42.86	3 of 7
66794	degradation of aromatic, nitrogen containing compounds	41.67	5 of 12
66794	metabolism of amino sugars and derivatives	40	2 of 5
66794	gallate degradation	40	2 of 5
66794	starch degradation	40	4 of 10
66794	3-chlorocatechol degradation	40	2 of 5
66794	lipoate biosynthesis	40	2 of 5
66794	polyamine pathway	39.13	9 of 23
66794	phenylpropanoid biosynthesis	38.46	5 of 13
66794	oxidative phosphorylation	38.46	35 of 91
66794	degradation of sugar alcohols	37.5	6 of 16
66794	ketogluconate metabolism	37.5	3 of 8
66794	degradation of pentoses	35.71	10 of 28
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	cyanate degradation	33.33	1 of 3
66794	arachidonic acid metabolism	33.33	6 of 18
66794	glycolate and glyoxylate degradation	33.33	2 of 6
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	pantothenate biosynthesis	33.33	2 of 6
66794	enterobactin biosynthesis	33.33	1 of 3
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	sphingosine metabolism	33.33	2 of 6
66794	ascorbate metabolism	31.82	7 of 22
66794	phenol degradation	30	6 of 20
66794	coenzyme M biosynthesis	30	3 of 10
66794	benzoyl-CoA degradation	28.57	2 of 7
66794	degradation of hexoses	27.78	5 of 18
66794	d-xylose degradation	27.27	3 of 11
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	toluene degradation	25	1 of 4
66794	catecholamine biosynthesis	25	1 of 4
66794	phosphatidylethanolamine bioynthesis	23.08	3 of 13
66794	4-hydroxymandelate degradation	22.22	2 of 9

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2
#Host	#Fishes

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Isolation date
7325	diseased red sea bream (Pagrus major)		Japan	JPN	Asia
52586	Kidney of diseased sea bream	Hiroshima	Japan	JPN	Asia
120835	Animal, Diseased red sea bream, kidney	Hiroshima	Japan	JPN	Asia	1977

Taxonmaps

69479

Global distribution of 16S sequence AB681004 (>99% sequence identity) for Tenacibaculum maritimum subclade from Microbeatlas

Aquatic Samples	2026
Soil Samples	241
Animal Samples	748
Plant Samples	7
Total Samples	3022

Interaction and safety

Risk assessment

@ref	Pathogenicity animal	Biosafety level	Biosafety level comment
7325		1	Risk group (German classification) According to TRBA 466
120835		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
66792	MARIT_PRJEB17743 assembly for Tenacibaculum maritimum NCIMB 2154	complete	GCA_900119795	107401.14	2802429273	1349785	88.71
124043	UQ_NCIMB2154T assembly for Tenacibaculum maritimum NCIMB 2154	complete	GCA_045584685			1349785	66.55
66792	ASM50940v1 assembly for Tenacibaculum maritimum NCIMB 2154 NBRC 15946	contig	GCA_000509405	1349785.3	2568526045	1349785	40.74

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Tenacibaculum maritimum gene for 16S rRNA, partial sequence, strain: NBRC 15946	AB681004	1445	107401
20218	Flexibacter maritimus 16S ribosomal RNA	D14023	1283	107401
20218	Tenacibaculum maritimum small subunit ribosomal RNA gene, partial sequence	M64629	1468	107401
7325	Tenacibaculum maritimum gene for 16S rRNA, strain:IFO 15946	AB078057	1475	1349785
124043	Tenacibaculum maritimum strain NCIMB 2154 16S ribosomal RNA gene, partial sequence.	KT270382	1354	107401

GC content

43375

GC-content (mol%)31.6

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Tenacibaculum maritimum NCIMB 2154 NCIMB 2154T
NCBI: GCA_900119795

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	95.40	no
125439	motility	BacteriaNetⓘ	yes	53.80	no
125439	gram_stain	BacteriaNetⓘ	negative	97.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	67.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Tenacibaculum maritimum NCIMB 2154 NCIMB 2154T
NCBI: GCA_900119795.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.00	no
125438	anaerobic	anaerobicⓘ	no	97.16	yes
125438	aerobic	aerobicⓘ	yes	85.28	no
125438	spore-forming	spore-formingⓘ	no	90.40	no
125438	thermophilic	thermophileⓘ	no	95.17	yes
125438	flagellated	motile2+ⓘ	no	93.51	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
	Roseobacter Group Probiotics Exhibit Differential Killing of Fish Pathogenic Tenacibaculum Species.	Tesdorpf JE, Geers AU, Strube ML, Gram L, Bentzon-Tilia M.	Appl Environ Microbiol	10.1128/aem.02418-21	2022
	Extracts from Wallis Sponges Inhibit Vibrio harveyi Biofilm Formation.	Caudal F, Rodrigues S, Dufour A, Artigaud S, Le Blay G, Petek S, Bazire A.	Microorganisms	10.3390/microorganisms11071762	2023
Enzymology	Simultaneous discrimination between 15 fish pathogens by using 16S ribosomal DNA PCR and DNA microarrays.	Warsen AE, Krug MJ, LaFrentz S, Stanek DR, Loge FJ, Call DR.	Appl Environ Microbiol	10.1128/aem.70.7.4216-4221.2004	2004
Enzymology	Genetic diversity of the biofilm covering Montacuta ferruginosa (Mollusca, bivalvia) as evaluated by denaturing gradient gel electrophoresis analysis and cloning of PCR-amplified gene fragments coding for 16S rRNA.	Gillan DC, Speksnijder AG, Zwart G, De Ridder C.	Appl Environ Microbiol	10.1128/aem.64.9.3464-3472.1998	1998
	Advancements in Characterizing Tenacibaculum Infections in Canada.	Nowlan JP, Lumsden JS, Russell S.	Pathogens	10.3390/pathogens9121029	2020
Enzymology	Specific bacterial, archaeal, and eukaryotic communities in tidal-flat sediments along a vertical profile of several meters.	Wilms R, Sass H, Kopke B, Koster J, Cypionka H, Engelen B.	Appl Environ Microbiol	10.1128/aem.72.4.2756-2764.2006	2006
	A persistent and diverse airway microbiota present during chronic obstructive pulmonary disease exacerbations.	Huang YJ, Kim E, Cox MJ, Brodie EL, Brown R, Wiener-Kronish JP, Lynch SV.	OMICS	10.1089/omi.2009.0100	2010
	Unveiling Hidden Allies: In Silico Discovery of Prophages in Tenacibaculum Species.	Ramirez C, Romero J.	Antibiotics (Basel)	10.3390/antibiotics13121184	2024
	Genomic characterization of Tenacibaculum maritimum O-antigen gene cluster and development of a multiplex PCR-based serotyping scheme.	Lopez P, Bridel S, Saulnier D, David R, Magarinos B, Torres BS, Bernardet JF, Duchaud E.	Transbound Emerg Dis	10.1111/tbed.14637	2022
Genetics	Genetic diversity and population structure of Tenacibaculum maritimum, a serious bacterial pathogen of marine fish: from genome comparisons to high throughput MALDI-TOF typing.	Bridel S, Bourgeon F, Marie A, Saulnier D, Pasek S, Nicolas P, Bernardet JF, Duchaud E.	Vet Res	10.1186/s13567-020-00782-0	2020
	Tenacibaculum maritimum can boost inflammation in Dicentrarchus labrax upon peritoneal injection but cannot trigger tenacibaculosis disease.	Ferreira IA, Santos P, Moxo JS, Teixeira C, do Vale A, Costas B.	Front Immunol	10.3389/fimmu.2024.1478241	2024
	Dissecting Cytophagalysin: Structural and Biochemical Studies of a Bacterial Pappalysin-Family Metallopeptidase.	Estevan-Morio E, Ramirez-Larrota JS, Bushi E, Eckhard U.	Biomolecules	10.3390/biom14121604	2024
	Genomics of Tenacibaculum Species in British Columbia, Canada.	Nowlan JP, Sies AN, Britney SR, Cameron ADS, Siah A, Lumsden JS, Russell S.	Pathogens	10.3390/pathogens12010101	2023
	Fluid dynamics and cell-bound Psl polysaccharide allows microplastic capture, aggregation and subsequent sedimentation by Pseudomonas aeruginosa in water.	Romero M, Carabelli A, R Swift M, I Smith M.	Environ Microbiol	10.1111/1462-2920.15916	2022
	Investigation of the Genus Flavobacterium as a Reservoir for Fish-Pathogenic Bacterial Species: the Case of Flavobacterium collinsii.	Lee BH, Nicolas P, Saticioglu IB, Fradet B, Bernardet JF, Rigaudeau D, Rochat T, Duchaud E.	Appl Environ Microbiol	10.1128/aem.02162-22	2023
Enzymology	Comparative genomics of Streptococcus parauberis: new target for molecular identification of serotype III.	Torres-Corral Y, Santos Y.	Appl Microbiol Biotechnol	10.1007/s00253-020-10683-z	2020
Enzymology	Quorum Quenching Properties and Probiotic Potentials of Intestinal Associated Bacteria in Asian Sea Bass Lates calcarifer.	Ghanei-Motlagh R, Mohammadian T, Gharibi D, Menanteau-Ledouble S, Mahmoudi E, Khosravi M, Zarea M, El-Matbouli M.	Mar Drugs	10.3390/md18010023	2019
Enzymology	Simultaneous detection of marine fish pathogens by using multiplex PCR and a DNA microarray.	Gonzalez SF, Krug MJ, Nielsen ME, Santos Y, Call DR.	J Clin Microbiol	10.1128/jcm.42.4.1414-1419.2004	2004
	LPS-Induced Mortality in Zebrafish: Preliminary Characterisation of Common Fish Pathogens.	Santos RA, Cardoso C, Pedrosa N, Goncalves G, Matinha-Cardoso J, Coutinho F, Carvalho AP, Tamagnini P, Oliva-Teles A, Oliveira P, Serra CR.	Microorganisms	10.3390/microorganisms11092205	2023
	Bacillus spp. Inhibit Edwardsiella tarda Quorum-Sensing and Fish Infection.	Santos RA, Monteiro M, Rangel F, Jerusik R, Saavedra MJ, Carvalho AP, Oliva-Teles A, Serra CR.	Mar Drugs	10.3390/md19110602	2021
Enzymology	Dual RNAseq highlights the kinetics of skin microbiome and fish host responsiveness to bacterial infection.	Le Luyer J, Schull Q, Auffret P, Lopez P, Crusot M, Belliard C, Basset C, Carradec Q, Poulain J, Planes S, Saulnier D	Anim Microbiome	10.1186/s42523-021-00097-1	2021
Genetics	The Complete Genome Sequence of the Fish Pathogen Tenacibaculum maritimum Provides Insights into Virulence Mechanisms.	Perez-Pascual D, Lunazzi A, Magdelenat G, Rouy Z, Roulet A, Lopez-Roques C, Larocque R, Barbeyron T, Gobet A, Michel G, Bernardet JF, Duchaud E	Front Microbiol	10.3389/fmicb.2017.01542	2017
Genetics	Genotyping of Tenacibaculum maritimum isolates from farmed Atlantic salmon in Western Canada.	Frisch K, Smage SB, Brevik OJ, Duesund H, Nylund A	J Fish Dis	10.1111/jfd.12687	2017
Metabolism	Acylhomoserine lactone production and degradation by the fish pathogen Tenacibaculum maritimum, a member of the Cytophaga-Flavobacterium-Bacteroides (CFB) group.	Romero M, Avendano-Herrera R, Magarinos B, Camara M, Otero A	FEMS Microbiol Lett	10.1111/j.1574-6968.2009.01889.x	2010
Phylogeny	Spongiiferula fulva gen. nov., sp. nov., a Bacterium of the Family Flavobacteriaceae Isolated from a Marine Sponge.	Yoon J, Adachi K, Kasai H	Curr Microbiol	10.1007/s00284-016-1022-z	2016

References

#7325	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 17995
#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 )
#41729	; Curators of the CIP;
#43375	Makoto Suzuki, Yasuyoshi Nakagawa, Shigeaki Harayama, Satoshi Yamamoto: Phylogenetic analysis and taxonomic study of marine Cytophaga-like bacteria : proposal for Tenacibaculum gen. nov. with Tenacibaculum maritimum comb. nov. and Tenacibaculum ovolyticum comb. nov., and description of Tenacibaculum mesophilum sp. nov. and Tenacibaculum amylolyticum sp. nov.. IJSEM 51: 1639 - 1652 2001 ( DOI 10.1099/00207713-51-5-1639 , PubMed 11594591 )
#52586	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 35198
#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) .
#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 )
#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 .
#120835	Collection of Institut Pasteur ; Curators of the CIP; CIP 103528
#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 .
#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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Tenacibaculum maritimum (DSM 17995, ATCC 43398, IAM 14317)

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

Metabolite utilization

Metabolite production

Enzymes

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900119795

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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