Marinitoga litoralis (DSM 21709, JCM 15581, MC3)

Name: Marinitoga litoralis (DSM 21709, JCM 15581, MC3)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 17044

Type strain

Strain Designation MC3

Culture col. no. DSM 21709 JCM 15581 MC3 NBRC 109657 KCTC 15136

NCBI tax ID(s) 570855

Special Collections DSMZ JCM KCTC Literature strains

Links

Marinitoga litoralis MC3 is an anaerobe, thermophilic, Gram-negative prokaryote that was isolated from sediment from coastal thermal spring.

Gram-negative motile rod-shaped anaerobe thermophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 407232

JCM 15581,DSM 21709

@ref 20215

Last LPSN update 2025-12-16 09:50:59

Domain Thermotogati

Phylum Thermotogota

Class Thermotogae

Order Petrotogales

Family Petrotogaceae

Genus Marinitoga

Species Marinitoga litoralis

Full scientific name Marinitoga litoralis Postec et al. 2010

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Motility	Confidence
29634	negative	1-2.4 µm	0.8-1 µm	rod-shaped
125439	negative					91.8

Pigmentation

29634

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
15829	MARINITOGA LITORALIS MEDIUM (DSMZ Medium 959a)		Medium recipe at MediaDive	Name: MARINITOGA LITORALIS MEDIUM (DSMZ Medium 959a) Composition: NaCl 26.0 g/l Maltose 3.5 g/l PIPES 3.4 g/l Na-acetate x 3 H2O 2.72 g/l Trypticase peptone 2.0 g/l Yeast extract 2.0 g/l NH4Cl 1.0 g/l Na2S x 9 H2O 0.5 g/l MgCl2 x 6 H2O 0.5 g/l K2HPO4 0.35 g/l KH2PO4 0.35 g/l KCl 0.2 g/l CaCl2 x 2 H2O 0.1 g/l Sodium resazurin 0.0005 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
15829	positive	growth	60	thermophilic
29634	positive	growth	45-70	thermophilic
29634	positive	optimum	60	thermophilic
67770	positive	growth	60	thermophilic

Culture pH

@ref	Ability	Type	PH
29634	positive	optimum	6
29634	positive	growth	5.5-7.5

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
15829	anaerobe
29634	anaerobe

Halophily

@ref	Salt	Growth	Tested relation	Concentration
29634	NaCl	positive	growth	0.8-4.6 %
29634	NaCl	positive	optimum	2.6 %

Observation

29634

Observationaggregates in chains

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
29634	17057 ChEBI	cellobiose	+	carbon source
29634	28260 ChEBI	galactose	+	carbon source
29634	17234 ChEBI	glucose	+	carbon source
29634	15361 ChEBI	pyruvate	+	carbon source

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Sediment
#Environmental	#Aquatic	#Thermal spring
#Environmental	#Terrestrial	#Coast
#Condition	#Thermophilic (>45°C)	-

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
15829	sediment from coastal thermal spring	French Southern and Antarctic Lands, Southern Indian Ocean, Saint-Paul island	France	FRA	Europe	-38.7167	77.5167 -38.7167/77.5167
67770	Coastal thermal spring on Île Saint-Paul in the Southern Indian Ocean

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
15829	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	ASM1690814v1 assembly for Marinitoga litoralis DSM 21709	contig	GCA_016908145	570855.5	2901074514	570855	58.48

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
15829	Marinitoga sp. MC3 partial 16S rRNA gene, strain MC3	FM253687	1359		570855

GC content

@ref	GC-content (mol%)	Method
15829	26.2	high performance liquid chromatography (HPLC)
29634	26.2

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Marinitoga litoralis DSM 21709
NCBI: GCA_016908145

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	53.80	no
125439	motility	BacteriaNetⓘ	yes	72.20	no
125439	gram_stain	BacteriaNetⓘ	negative	91.80	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	89.20	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Marinitoga litoralis strain DSM 21709
PATRIC: 570855.5

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	69.53	yes
125438	anaerobic	anaerobicⓘ	yes	89.10	no
125438	spore-forming	spore-formingⓘ	no	71.93	no
125438	aerobic	aerobicⓘ	no	90.59	no
125438	thermophilic	thermophileⓘ	yes	66.28	no
125438	flagellated	motile2+ⓘ	yes	59.89	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Marinitoga litoralis sp. nov., a thermophilic, heterotrophic bacterium isolated from a coastal thermal spring on Ile Saint-Paul, Southern Indian Ocean.	Postec A, Ciobanu M, Birrien JL, Bienvenu N, Prieur D, Le Romancer M	Int J Syst Evol Microbiol	10.1099/ijs.0.017574-0	2009

References

#15829	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 21709
#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 )
#26024	IJSEM 1778 2010 ( DOI 10.1099/ijs.0.017574-0 , PubMed 19749030 )
#29634	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 #26024
#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) .
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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Marinitoga litoralis (DSM 21709, JCM 15581, MC3)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Halophily

Observation

Metabolite utilization

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_016908145

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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