Nesterenkonia halotolerans (DSM 15474, CCTCC AA 001022, YIM 70084)

Name: Nesterenkonia halotolerans (DSM 15474, CCTCC AA 001022, YIM 70084)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 7764

Type strain

Culture col. no. DSM 15474 CCTCC AA 001022 YIM 70084 KCTC 19014 JCM 13018

NCBI tax ID(s) 225325

Special Collections DSMZ JCM KCTC Literature strains

History <- W.-J. Li <- CCTCC <- YIM KCTC 19014 <-- W.-J. Li YIM 70084.

Links

Nesterenkonia halotolerans DSM 15474 is a Gram-positive, motile, coccus-shaped bacterium that was isolated from soil.

Gram-positive motile coccus-shaped genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 132022

DSM 15474,JCM 13018,KCTC 19014

@ref 20215

Last LPSN update 2026-02-09 11:19:33

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Micrococcales

Family Micrococcaceae

Genus Nesterenkonia

Species Nesterenkonia halotolerans

Full scientific name Nesterenkonia halotolerans Li et al. 2004

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Motility
30096	positive	coccus-shaped

Pigmentation

30096

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
5944	NESTERENKONIA MODIFIED MEDIUM (DSMZ Medium 993a)		Medium recipe at MediaDive	Name: NESTERENKONIA MODIFIED MEDIUM (DSMZ Medium 993a) Composition: MgCl2 x 6 H2O 100.0 g/l Agar 20.0 g/l Glycerol 10.0 g/l Yeast extract 5.0 g/l L-Asparagine 1.0 g/l K2HPO4 1.0 g/l MnCl2 x 4 H2O 0.001 g/l ZnSO4 x 7 H2O 0.001 g/l FeSO4 x 7 H2O 0.001 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
5944	positive	growth	28
30096	positive	growth	04-40
30096	positive	optimum	28
67770	positive	growth	28

Culture pH

@ref	Ability	Type	PH	PH range
30096	positive	growth	07-09	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	90.4

Spore formation

@ref	Spore formation	Confidence
30096
125439		97.7

Halophily

@ref	Salt	Growth	Tested relation	Concentration
30096	NaCl	positive	growth	0-25 %
30096	NaCl	positive	optimum	10 %

Murein

@ref	Murein short key	Type
5944	A11.42	A4alpha L-Lys-Gly-D-Asp

Observation

67770

Observationquinones: MK-7, MK-8

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
30096	23652 ChEBI	dextrin	+	carbon source
30096	28757 ChEBI	fructose	+	carbon source
30096	28260 ChEBI	galactose	+	carbon source
30096	5291 ChEBI	gelatin	+	carbon source
30096	17234 ChEBI	glucose	+	carbon source
30096	17716 ChEBI	lactose	+	carbon source
30096	17306 ChEBI	maltose	+	carbon source
30096	37684 ChEBI	mannose	+	carbon source
30096	17992 ChEBI	sucrose	+	carbon source
30096	16199 ChEBI	urea	+	carbon source

Enzymes

@ref	Value	Activity	Ec
30096	gelatinase	+
30096	urease	+	3.5.1.5

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
5944	soil	Xijiang	China	CHN	Asia
67770	Hypersaline soil	Xinjang Province	China	CHN	Asia

Taxonmaps

69479

Global distribution of 16S sequence AY226508 (>99% sequence identity) for Nesterenkonia from Microbeatlas

Aquatic Samples	600
Soil Samples	791
Animal Samples	2130
Plant Samples	449
Total Samples	3970

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
5944	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	ASM1487406v1 assembly for Nesterenkonia halotolerans DSM 15474	contig	GCA_014874065	225325.3	2870876733	225325	73.09
124043	ASM4267938v1 assembly for Nesterenkonia halotolerans JCM 13018	scaffold	GCA_042679385			225325	56.37
124043	ASM3952819v1 assembly for Nesterenkonia halotolerans JCM 13018	contig	GCA_039528195			225325	45.4

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
5944	Nesterenkonia sp. YIM 70084 16S ribosomal RNA gene, partial sequence	AY226508	1490		225325

GC content

@ref	GC-content (mol%)	Method
30096	64.4
67770	64.4	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: Nesterenkonia halotolerans DSM 15474
NCBI: GCA_014874065

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	97.70	no
125439	motility	BacteriaNetⓘ	yes	67.30	no
125439	gram_stain	BacteriaNetⓘ	negative	77.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	90.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Nesterenkonia halotolerans strain DSM 15474
PATRIC: 225325.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	88.34	yes
125438	anaerobic	anaerobicⓘ	no	97.52	no
125438	spore-forming	spore-formingⓘ	no	77.77	yes
125438	thermophilic	thermophileⓘ	no	91.51	no
125438	aerobic	aerobicⓘ	yes	89.17	no
125438	flagellated	motile2+ⓘ	no	75.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Proteomic Signatures of Microbial Adaptation to the Highest Ultraviolet-Irradiation on Earth: Lessons From a Soil Actinobacterium.	Zannier F, Portero LR, Douki T, Gartner W, Farias ME, Albarracin VH.	Front Microbiol	10.3389/fmicb.2022.791714	2022
Genetics	Comparative Genomic Analyses of the Genus Nesterenkonia Unravels the Genomic Adaptation to Polar Extreme Environments.	Dai D, Lu H, Xing P, Wu Q.	Microorganisms	10.3390/microorganisms10020233	2022
Biotechnology	Genomic insights into an andean multiresistant soil actinobacterium of biotechnological interest.	Alonso-Reyes DG, Galvan FS, Portero LR, Alvarado NN, Farias ME, Vazquez MP, Albarracin VH.	World J Microbiol Biotechnol	10.1007/s11274-021-03129-9	2021
	Clinical Performance of the Novel GenMark Dx ePlex Blood Culture ID Gram-Positive Panel.	Carroll KC, Reid JL, Thornberg A, Whitfield NN, Trainor D, Lewis S, Wakefield T, Davis TE, Church KG, Samuel L, Mills R, Jim P, Young S, Nolte FS.	J Clin Microbiol	10.1128/jcm.01730-19	2020
	Ecology of subglacial lake vostok (antarctica), based on metagenomic/metatranscriptomic analyses of accretion ice.	Rogers SO, Shtarkman YM, Kocer ZA, Edgar R, Veerapaneni R, D'Elia T.	Biology (Basel)	10.3390/biology2020629	2013
Phylogeny	Subglacial Lake Vostok (Antarctica) accretion ice contains a diverse set of sequences from aquatic, marine and sediment-inhabiting bacteria and eukarya.	Shtarkman YM, Kocer ZA, Edgar R, Veerapaneni RS, D'Elia T, Morris PF, Rogers SO.	PLoS One	10.1371/journal.pone.0067221	2013
Enzymology	Microbial diversity in water and sediment of Lake Chaka, an athalassohaline lake in northwestern China.	Jiang H, Dong H, Zhang G, Yu B, Chapman LR, Fields MW.	Appl Environ Microbiol	10.1128/aem.02869-05	2006
Phylogeny	Nesterenkonia aurantiaca sp. nov., an alkaliphilic actinobacterium isolated from Antarctica.	Finore I, Orlando P, Di Donato P, Leone L, Nicolaus B, Poli A	Int J Syst Evol Microbiol	10.1099/ijsem.0.000917	2016
Phylogeny	Nesterenkonia halotolerans sp. nov. and Nesterenkonia xinjiangensis sp. nov., actinobacteria from saline soils in the west of China.	Li WJ, Chen HH, Zhang YQ, Schumann P, Stackebrandt E, Xu LH, Jiang CL	Int J Syst Evol Microbiol	10.1099/ijs.0.02935-0	2004

References

#5944	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 15474
#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 )
#26452	IJSEM 837 2004 ( DOI 10.1099/ijs.0.02935-0 , PubMed 15143032 )
#30096	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 #26452
#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;
#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 .
#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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Nesterenkonia halotolerans (DSM 15474, CCTCC AA 001022, YIM 70084)

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

Halophily

Murein

Observation

Metabolite utilization

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_014874065

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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