Tenacibaculum gallaicum (DSM 18841, NCIMB 14147, A37.1)

Name: Tenacibaculum gallaicum (DSM 18841, NCIMB 14147, A37.1)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 5653

Type strain

Strain Designation A37.1

Culture col. no. DSM 18841 NCIMB 14147 A37.1

NCBI tax ID(s) 561505

Special Collections DSMZ Literature strains

History <- Y. Santos, USC, Fac. Biol.; A37.1

Links

Tenacibaculum gallaicum A37.1 is an aerobe, Gram-negative, motile animal pathogen that was isolated from seawater from a holding tank for turbot .

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

Name and taxonomic classification

SI-ID 324009

DSM 18841,NCIMB 14147,CECT 7122

@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 gallaicum

Full scientific name Tenacibaculum gallaicum Piñeiro-Vidal et al. 2008

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Flagellum arrangement	Confidence
32374	negative	16 µm	0.5 µm	rod-shaped	gliding
125439	negative					99.5
125438						93
125438	negative					97.894

Pigmentation

32374

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
7734	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

Culture temp

@ref	Growth	Type	Temperature (°C)
7734	positive	growth	28
32374	positive	growth	14-38
32374	positive	optimum	27.5

Culture pH

@ref	Ability	Type	PH
32374	positive	growth	06-08

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
32374	aerobe
125439	aerobe	90.1

Spore formation

@ref	Spore formation	Confidence
125439		97.7
125438		90.9

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
32374	29987 ChEBI	glutamate	+	carbon source
32374	17632 ChEBI	nitrate	+	reduction
32374	26271 ChEBI	proline	+	carbon source

Enzymes

@ref	Value	Activity	Ec
32374	acid phosphatase	+	3.1.3.2
32374	alkaline phosphatase	+	3.1.3.1
32374	catalase	+	1.11.1.6
32374	cytochrome oxidase	+	1.9.3.1
32374	gelatinase	+

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Built environment	#Water reservoir (Aquarium/pool)
#Engineered	#Food production	#Aquaculture
#Environmental	#Aquatic	#Marine
#Host	#Fishes	-

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent
7734	seawater from a holding tank for turbot (Psetta maxima)	Psetta maxima	Galicia	Spain	ESP	Europe

Interaction and safety

Risk assessment

@ref	Pathogenicity animal	Biosafety level	Biosafety level comment
7734		1	Risk group (German 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	ASM338761v1 assembly for Tenacibaculum gallaicum DSM 18841	scaffold	GCA_003387615	561505.3	2756170236	561505	70.75

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
7734	Tenacibaculum gallaicum partial 16S rRNA gene, type strain A37.1T	AM746477	1518		561505

GC content

7734

GC-content (mol%)32.7

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Tenacibaculum gallaicum DSM 18841
NCBI: GCA_003387615

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	97.70	no
125439	motility	BacteriaNetⓘ	no	65.80	no
125439	gram_stain	BacteriaNetⓘ	negative	99.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	90.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Tenacibaculum gallaicum DSM 18841
NCBI: GCA_003387615.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.89	yes
125438	anaerobic	anaerobicⓘ	no	94.87	yes
125438	aerobic	aerobicⓘ	yes	86.79	yes
125438	spore-forming	spore-formingⓘ	no	90.90	no
125438	thermophilic	thermophileⓘ	no	96.47	no
125438	flagellated	motile2+ⓘ	no	93.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
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
Phylogeny	Tenacibaculum discolor sp. nov. and Tenacibaculum gallaicum sp. nov., isolated from sole (Solea senegalensis) and turbot (Psetta maxima) culture systems.	Pineiro-Vidal M, Riaza A, Santos Y	Int J Syst Evol Microbiol	10.1099/ijs.0.65397-0	2008

References

#7734	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 18841
#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 )
#28602	IJSEM 21 2008 ( DOI 10.1099/ijs.0.65397-0 , PubMed 18175676 )
#32374	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 #28602
#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) .
#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 gallaicum (DSM 18841, NCIMB 14147, A37.1)

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

Metabolite utilization

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_003387615

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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