Tritonibacter scottomollicae (DSM 25328, CCUG 55858, LMG 24367)

Name: Tritonibacter scottomollicae (DSM 25328, CCUG 55858, LMG 24367)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 13787

Type strain

Strain Designation R-28751

Culture col. no. DSM 25328 CCUG 55858 LMG 24367 R-28751

NCBI tax ID(s) 483013

Special Collections DSMZ CCUG Literature strains

History DSMZ <- CCUG <- I. Vandecandelaere, LMG; R-28751

Links

Tritonibacter scottomollicae R-28751 is an aerobe, Gram-negative, motile bacterium that was isolated from marine biofilm on stainless steel electrode.

Gram-negative motile ovoid-shaped aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 343775

LMG 24367,CCUG 55858,DSM 25328

@ref 20215

Last LPSN update 2026-05-29 08:28:07

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Rhodobacterales

Family Roseobacteraceae

Genus Tritonibacter

Species Tritonibacter scottomollicae

Full scientific name Tritonibacter scottomollicae (Vandecandelaere et al. 2008) Hördt et al. 2020

Synonyms (2)

Epibacterium scottomollicae
Ruegeria scottomollicae

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
32649	negative	1.3 µm	1 µm	ovoid-shaped
125439	negative				94.251
125438	negative				98

Colony morphology

@ref	Incubation period
18003	1-2 days
60762	2-3 days

Pigmentation

32649

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
18003	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)
18003	positive	growth	20
32649	positive	growth	04-40
32649	positive	optimum	30
60762	positive	growth	20

Culture pH

@ref	Ability	Type	PH	PH range
32649	positive	optimum	6.5-8.5
32649	positive	growth	05-09	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
32649	aerobe
60762	aerobe
125439	obligate aerobe	90.708

Spore formation

@ref	Spore formation	Confidence
32649
125438		92.118
125439		99.504

Halophily

@ref	Salt	Growth	Tested relation	Concentration
32649	NaCl	positive	growth	01-15 %
32649	NaCl	positive	optimum	01-15 %

Observation

32649

Observationaggregates in chains

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68369	17128 ChEBI	adipate	-	assimilation	from API 20NE
68369	29016 ChEBI	arginine	-	hydrolysis	from API 20NE
68369	17634 ChEBI	D-glucose	-	assimilation	from API 20NE
68369	17634 ChEBI	D-glucose	-	fermentation	from API 20NE
68369	16024 ChEBI	D-mannose	-	assimilation	from API 20NE
68369	27689 ChEBI	decanoate	-	assimilation	from API 20NE
32649	4853 ChEBI	esculin	+	hydrolysis
68369	5291 ChEBI	gelatin	-	hydrolysis	from API 20NE
68369	24265 ChEBI	gluconate	-	assimilation	from API 20NE
68369	30849 ChEBI	L-arabinose	-	assimilation	from API 20NE
68369	25115 ChEBI	malate	+	assimilation	from API 20NE
68369	17306 ChEBI	maltose	+	assimilation	from API 20NE
68369	59640 ChEBI	N-acetylglucosamine	+	assimilation	from API 20NE
68369	17632 ChEBI	nitrate	-	reduction	from API 20NE
68369	27897 ChEBI	tryptophan	-	energy source	from API 20NE
68369	16199 ChEBI	urea	-	hydrolysis	from API 20NE

Metabolite production

@ref	Chebi-ID	Metabolite	Production
32649	35581 ChEBI	indole
68369	35581 ChEBI	indole		from API 20NE

Metabolite tests

@ref	Chebi-ID	Metabolite	Indole test
32649	35581 ChEBI	indole	+
68369	35581 ChEBI	indole	-	from API 20NE

Enzymes

@ref	Value	Activity	Ec
32649	alkaline phosphatase	+	3.1.3.1
32649	alpha-galactosidase	+	3.2.1.22
68369	arginine dihydrolase	-	3.5.3.6	from API 20NE
18003	catalase	+	1.11.1.6
32649	catalase	+	1.11.1.6
32649	cytochrome oxidase	+	1.9.3.1
68369	cytochrome oxidase	+	1.9.3.1	from API 20NE
18003	cytochrome-c oxidase	+	1.9.3.1
68369	gelatinase	-		from API 20NE
68369	urease	-	3.5.1.5	from API 20NE

API 20NE

@ref	Reduction of nitratesNO3	TRP	GLU_ Ferm	ADH (Arg)	URE	ESC	GEL	PNPG	GLU_ Assim	ARA	MNE	MAN	NAG	MAL	GNT	CAP	ADI	MLT	CIT	PAC	OX
18003	-	-	-	-	-	+/-	-	+/-	-	-	-	+/-	+	+	-	-	-	+	-	-	+

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Industrial	#Engineered product
#Environmental	#Aquatic	#Marine
#Environmental	#Biofilm	-

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
18003	marine biofilm on stainless steel electrode		Genua	Italy	ITA	Europe
60762	Marine biofilm on stainless steel electrode	2004-10-01	Genoa,the harbour	Italy	ITA	Europe

Taxonmaps

69479

Global distribution of 16S sequence AM905330 (>99% sequence identity) for Epibacterium scottomollicae from Microbeatlas

Aquatic Samples	72
Soil Samples	1
Animal Samples	2
Plant Samples	0
Total Samples	75

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
18003	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	ASM300321v1 assembly for Tritonibacter scottomollicae DSM 25328	scaffold	GCA_003003215	483013.3	2728369517	483013	65.17

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
18003	Ruegeria scottomollicae partial 16S rRNA gene, type strain LMG 24367T	AM905330	1398		483013

GC content

32649

GC-content (mol%)60.6-61.4

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM300321v1 assembly for Tritonibacter scottomollicae DSM 25328
NCBI: GCA_003003215

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	90.71	no
125439	gram_stain	BacteriaNetⓘ	negative	94.25	no
125439	motility	BacteriaNetⓘ	yes	72.24	no
125439	spore_formation	BacteriaNetⓘ	no	99.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Tritonibacter scottomollicae DSM 25328
NCBI: GCA_003003215.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.00	no
125438	anaerobic	anaerobicⓘ	no	94.97	yes
125438	aerobic	aerobicⓘ	yes	83.15	yes
125438	spore-forming	spore-formingⓘ	no	92.12	yes
125438	thermophilic	thermophileⓘ	no	96.75	yes
125438	flagellated	motile2+ⓘ	yes	64.64	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Analysis of 1,000+ Type-Strain Genomes Substantially Improves Taxonomic Classification of Alphaproteobacteria.	Hordt A, Lopez MG, Meier-Kolthoff JP, Schleuning M, Weinhold LM, Tindall BJ, Gronow S, Kyrpides NC, Woyke T, Goker M.	Front Microbiol	10.3389/fmicb.2020.00468	2020
Phylogeny	Cribrihabitans neustonicus sp. nov., isolated from coastal surface seawater, and emended description of the genus Cribrihabitans Chen et al. 2014.	Hameed A, Shahina M, Lin SY, Lai WA, Liu YC, Hsu YH, Young CC	Int J Syst Evol Microbiol	10.1099/ijs.0.066142-0	2014
Phylogeny	Ruegeria scottomollicae sp. nov., isolated from a marine electroactive biofilm.	Vandecandelaere I, Nercessian O, Segaert E, Achouak W, Faimali M, Vandamme P	Int J Syst Evol Microbiol	10.1099/ijs.0.65843-0	2008

References

#18003	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 25328
#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 )
#28860	IJSEM 2726 2008 ( DOI 10.1099/ijs.0.65843-0 , PubMed 19060048 )
#32649	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 #28860
#60762	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 55858
#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) .
#68369	Automatically annotated from API 20NE .
#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 .
#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 )

Content

About us

Tritonibacter scottomollicae (DSM 25328, CCUG 55858, LMG 24367)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Observation

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API 20NE

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_003003215

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media