Natrinema thermotolerans (DSM 18794, CECT 7218, JCM 14585)

Name: Natrinema thermotolerans (DSM 18794, CECT 7218, JCM 14585)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 5885

Type strain

Strain Designation A29

Culture col. no. DSM 18794 CECT 7218 JCM 14585 KCTC 4020 A29 1 more

NCBI tax ID(s) 121872

Special Collections DSMZ JCM KCTC

History DSMZ <- S. W. Roh, Korea Res. Inst. Biosci. & Biotechnol. (KRIBB), Taejon, South Korea; A29 JCM <-- S. W. Roh A29. KCTC <- SW Roh, KRIBB

Links

Natrinema thermotolerans A29 is an aerobe archaeon that was isolated from shrimp jeotgal, a traditional fermented food.

aerobe genome sequence 16S sequence Archaea

Name and taxonomic classification

SI-ID 364147

CECT 7218,DSM 18794,JCM 14585,KCTC 4020

@ref 20215

Last LPSN update 2026-05-29 08:26:16

Domain Archaea

Phylum Methanobacteriota

Class Halobacteria

Order Halobacteriales

Family Natrialbaceae

Genus Natrinema

Species Natrinema thermotolerans

Full scientific name Natrinema thermotolerans (Montalvo-Rodríguez et al. 2000) de la Haba et al. 2022

Synonyms (3)

Haloterrigena jeotgali
"Natrinema thermotolerans"
Haloterrigena thermotolerans

Morphology

Cell morphology

@ref	Confidence	Gram stain
67771
67771		negative
125438	92.5

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
7700	MEDIUM FOR H. DOMBROWSKII (DSMZ Medium 954)		Medium recipe at MediaDive	Name: MEDIUM FOR H. DOMBROWSKII (DSMZ Medium 954) Composition: NaCl 200.0 g/l MgCl2 x 6 H2O 20.0 g/l Agar 20.0 g/l Tris 12.1 g/l Yeast extract 5.0 g/l Casamino acids 5.0 g/l KCl 2.0 g/l CaCl2 x 2 H2O 0.2 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
7700	positive	growth	37
67770	positive	growth	37
67771	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
67771	aerobe
125439	facultative anaerobe	93.057

Spore formation

@ref	Spore formation	Confidence
125439		97.151

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Food production	#Seafood
#Host	#Arthropoda	#Crustacea
#Engineered	#Food production	#Fermented

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
7700	shrimp jeotgal, a traditional fermented food	Republic of Korea	KOR	Asia
67770	Shrimp jeotgal, a traditional salt-fermented food from Korea
67771	From shrimp jeotgal, a traditional salt-fermented food	Republic of Korea	KOR	Asia

Taxonmaps

69479

Global distribution of 16S sequence AB663444 (>99% sequence identity) for Natrialbaceae from Microbeatlas

Aquatic Samples	5
Soil Samples	6
Animal Samples	1
Plant Samples	0
Total Samples	12

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
7700	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
67771	HTGA29.1 assembly for Natrinema thermotolerans A29	contig	GCA_000710605	1455609.3	2582580504	1455609	73.25
66792	ASM479962v1 assembly for Natrinema thermotolerans A29	complete	GCA_004799625	413811.6	2914868299	121872	58.11

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Natrinema thermotolerans gene for 16S rRNA, complete sequence, strain: JCM 14585	AB663444	1473		413811
7700	Haloterrigena jeotgali strain A29 16S ribosomal RNA gene, partial sequence	EF077633	1344		413811

GC content

@ref	GC-content (mol%)	Method
7700	62.3	fluorimetric
67770	62.3	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: HTGA29.1 assembly for Natrinema thermotolerans A29
NCBI: GCA_000710605

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	93.06	no
125439	gram_stain	BacteriaNetⓘ	negative	82.87	no
125439	motility	BacteriaNetⓘ	yes	41.45	no
125439	spore_formation	BacteriaNetⓘ	no	97.15	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Haloterrigena jeotgali A29
NCBI: GCA_004799625.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	75.69	yes
125438	anaerobic	anaerobicⓘ	no	85.99	no
125438	aerobic	aerobicⓘ	yes	79.71	yes
125438	spore-forming	spore-formingⓘ	no	82.65	no
125438	thermophilic	thermophileⓘ	no	81.48	yes
125438	flagellated	motile2+ⓘ	no	92.50	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
	Phylogenomics of Haloarchaea: The Controversy of the Genera Natrinema-Haloterrigena.	de la Haba RR, Minegishi H, Kamekura M, Shimane Y, Ventosa A.	Front Microbiol	10.3389/fmicb.2021.740909	2021
Phylogeny	Haloterrigena jeotgali sp. nov., an extremely halophilic archaeon from salt-fermented food.	Roh SW, Nam YD, Chang HW, Kim KH, Sung Y, Kim MS, Oh HM, Bae JW	Int J Syst Evol Microbiol	10.1099/ijs.0.008243-0	2009

References

#7700	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 18794
#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 )
#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;
#67771	Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC;
#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 )

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Natrinema thermotolerans (DSM 18794, CECT 7218, JCM 14585)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000710605

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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