Niastella koreensis (DSM 17620, KACC 11465, GR20-10)

Name: Niastella koreensis (DSM 17620, KACC 11465, GR20-10)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 17756

Type strain

Strain Designation GR20-10

Culture col. no. DSM 17620 KACC 11465 GR20-10

NCBI tax ID(s) 700598 354356

Special Collections DSMZ Literature strains

History <- S. W. Kwon, KACC; GR20-10

Links

Niastella koreensis GR20-10 is an aerobe, Gram-negative, rod-shaped bacterium that was isolated from soil cultivated with Korean ginseng.

Gram-negative rod-shaped aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 406708

NBRC 106392,DSM 17620

@ref 20215

Last LPSN update 2026-02-09 11:22:18

Domain Bacteria

Phylum Bacteroidota

Class Chitinophagia

Order Chitinophagales

Family Chitinophagaceae

Genus Niastella

Species Niastella koreensis

Full scientific name Niastella koreensis Weon et al. 2006

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Motility	Confidence
31772	negative	10-50 µm	0.5-0.5 µm	rod-shaped
125439	negative					99.5

Pigmentation

31772

Productionyes

Multimedia

@ref:	66793
multimedia content:	EM_DSM_17620_1.jpg
multimedia.multimedia content:	EM_DSM_17620_1.jpg
caption:	electron microscopic image
intellectual property rights:	© HZI/Manfred Rohde
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
7091	R2A MEDIUM (DSMZ Medium 830)		Medium recipe at MediaDive	Name: R2A MEDIUM (DSMZ Medium 830) Composition: Agar 15.0 g/l Casamino acids 0.5 g/l Starch 0.5 g/l Glucose 0.5 g/l Proteose peptone 0.5 g/l Yeast extract 0.5 g/l K2HPO4 0.3 g/l Na-pyruvate 0.3 g/l MgSO4 x 7 H2O 0.05 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
7091	positive	growth	28
31772	positive	growth	10-37
31772	positive	optimum	30-37

Culture pH

@ref	Ability	Type	PH
31772	positive	optimum	7
31772	positive	growth	05-08

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
31772	aerobe
125439	obligate aerobe	95.4

Spore formation

@ref	Spore formation	Confidence
31772
125439		97.4

Observation

31772

Observationaggregates in chains

Enzymes

@ref	Value	Activity	Ec
31772	alkaline phosphatase	+	3.1.3.1
31772	alpha-galactosidase	+	3.2.1.22

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	cyanate degradation	100	3 of 3
66794	1,4-dihydroxy-6-naphthoate biosynthesis	100	6 of 6
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	cardiolipin biosynthesis	100	7 of 7
66794	CMP-KDO biosynthesis	100	4 of 4
66794	palmitate biosynthesis	100	22 of 22
66794	ppGpp biosynthesis	100	4 of 4
66794	glycogen metabolism	100	5 of 5
66794	acetoin degradation	100	3 of 3
66794	methylglyoxal degradation	100	5 of 5
66794	starch degradation	100	10 of 10
66794	biotin biosynthesis	100	4 of 4
66794	L-lactaldehyde degradation	100	3 of 3
66794	molybdenum cofactor biosynthesis	100	9 of 9
66794	kanosamine biosynthesis II	100	2 of 2
66794	gluconeogenesis	100	8 of 8
66794	aerobactin biosynthesis	100	1 of 1
66794	folate polyglutamylation	100	1 of 1
66794	suberin monomers biosynthesis	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	denitrification	100	2 of 2
66794	isoleucine metabolism	100	8 of 8
66794	adipate degradation	100	2 of 2
66794	phenylacetate degradation (aerobic)	100	5 of 5
66794	reductive acetyl coenzyme A pathway	100	7 of 7
66794	formaldehyde oxidation	100	3 of 3
66794	coenzyme A metabolism	100	4 of 4
66794	sulfopterin metabolism	100	4 of 4
66794	NAD metabolism	94.44	17 of 18
66794	tetrahydrofolate metabolism	92.86	13 of 14
66794	photosynthesis	92.86	13 of 14
66794	phenylalanine metabolism	92.31	12 of 13
66794	proline metabolism	90.91	10 of 11
66794	threonine metabolism	90	9 of 10
66794	Entner Doudoroff pathway	90	9 of 10
66794	d-mannose degradation	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	allantoin degradation	88.89	8 of 9
66794	CO2 fixation in Crenarchaeota	88.89	8 of 9
66794	aspartate and asparagine metabolism	88.89	8 of 9
66794	valine metabolism	88.89	8 of 9
66794	serine metabolism	88.89	8 of 9
66794	lipid A biosynthesis	88.89	8 of 9
66794	C4 and CAM-carbon fixation	87.5	7 of 8
66794	alanine metabolism	86.21	25 of 29
66794	ubiquinone biosynthesis	85.71	6 of 7
66794	glutathione metabolism	85.71	12 of 14
66794	heme metabolism	85.71	12 of 14
66794	selenocysteine biosynthesis	83.33	5 of 6
66794	glycolate and glyoxylate degradation	83.33	5 of 6
66794	glycolysis	82.35	14 of 17
66794	pentose phosphate pathway	81.82	9 of 11
66794	gallate degradation	80	4 of 5
66794	degradation of sugar acids	80	20 of 25
66794	cellulose degradation	80	4 of 5
66794	flavin biosynthesis	80	12 of 15
66794	metabolism of amino sugars and derivatives	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	propionate fermentation	80	8 of 10
66794	purine metabolism	78.72	74 of 94
66794	glutamate and glutamine metabolism	78.57	22 of 28
66794	degradation of hexoses	77.78	14 of 18
66794	pyrimidine metabolism	77.78	35 of 45
66794	lipid metabolism	77.42	24 of 31
66794	urea cycle	76.92	10 of 13
66794	leucine metabolism	76.92	10 of 13
66794	degradation of sugar alcohols	75	12 of 16
66794	lactate fermentation	75	3 of 4
66794	acetate fermentation	75	3 of 4
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
66794	glycogen biosynthesis	75	3 of 4
66794	vitamin B6 metabolism	72.73	8 of 11
66794	metabolism of disaccharids	72.73	8 of 11
66794	cysteine metabolism	72.22	13 of 18
66794	degradation of pentoses	71.43	20 of 28
66794	lysine metabolism	71.43	30 of 42
66794	tyrosine metabolism	71.43	10 of 14
66794	tryptophan metabolism	71.05	27 of 38
66794	non-pathway related	71.05	27 of 38
66794	arginine metabolism	70.83	17 of 24
66794	vitamin B1 metabolism	69.23	9 of 13
66794	methionine metabolism	69.23	18 of 26
66794	isoprenoid biosynthesis	69.23	18 of 26
66794	octane oxidation	66.67	2 of 3
66794	sulfoquinovose degradation	66.67	2 of 3
66794	acetyl CoA biosynthesis	66.67	2 of 3
66794	histidine metabolism	65.52	19 of 29
66794	citric acid cycle	64.29	9 of 14
66794	d-xylose degradation	63.64	7 of 11
66794	ketogluconate metabolism	62.5	5 of 8
66794	dTDPLrhamnose biosynthesis	62.5	5 of 8
66794	lipoate biosynthesis	60	3 of 5
66794	4-hydroxyphenylacetate degradation	60	6 of 10
66794	phenol degradation	60	12 of 20
66794	3-chlorocatechol degradation	60	3 of 5
66794	coenzyme M biosynthesis	60	6 of 10
66794	ascorbate metabolism	59.09	13 of 22
66794	propanol degradation	57.14	4 of 7
66794	nitrate assimilation	55.56	5 of 9
66794	sulfate reduction	53.85	7 of 13
66794	phenylpropanoid biosynthesis	53.85	7 of 13
66794	oxidative phosphorylation	53.85	49 of 91
66794	pantothenate biosynthesis	50	3 of 6
66794	phenylmercury acetate degradation	50	1 of 2
66794	carotenoid biosynthesis	50	11 of 22
66794	degradation of aromatic, nitrogen containing compounds	50	6 of 12
66794	myo-inositol biosynthesis	50	5 of 10
66794	mannosylglycerate biosynthesis	50	1 of 2
66794	cyclohexanol degradation	50	2 of 4
66794	ethanol fermentation	50	1 of 2
66794	alginate biosynthesis	50	2 of 4
66794	dolichol and dolichyl phosphate biosynthesis	50	1 of 2
66794	3-phenylpropionate degradation	46.67	7 of 15
66794	phosphatidylethanolamine bioynthesis	46.15	6 of 13
66794	arachidonic acid metabolism	44.44	8 of 18
66794	androgen and estrogen metabolism	43.75	7 of 16
66794	aclacinomycin biosynthesis	42.86	3 of 7
66794	glycine betaine biosynthesis	40	2 of 5
66794	vitamin K metabolism	40	2 of 5
66794	hydrogen production	40	2 of 5
66794	glycine metabolism	40	4 of 10
66794	bacilysin biosynthesis	40	2 of 5
66794	ethylmalonyl-CoA pathway	40	2 of 5
66794	O-antigen biosynthesis	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	polyamine pathway	39.13	9 of 23
66794	dolichyl-diphosphooligosaccharide biosynthesis	36.36	4 of 11
66794	enterobactin biosynthesis	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	4-hydroxymandelate degradation	33.33	3 of 9
66794	sphingosine metabolism	33.33	2 of 6
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	vitamin B12 metabolism	32.35	11 of 34
66794	chlorophyll metabolism	27.78	5 of 18
66794	cholesterol biosynthesis	27.27	3 of 11
66794	catecholamine biosynthesis	25	1 of 4
66794	carnitine metabolism	25	2 of 8
66794	butanoate fermentation	25	1 of 4
66794	toluene degradation	25	1 of 4
66794	daunorubicin biosynthesis	22.22	2 of 9

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Soil
#Host	#Plants	#Herbaceous plants (Grass,Crops)

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
7091	soil cultivated with Korean ginseng	Yeongju region of Korea	Republic of Korea	KOR	Asia

Taxonmaps

69479

Global distribution of 16S sequence DQ244077 (>99% sequence identity) for Niastella koreensis from Microbeatlas

Aquatic Samples	22
Soil Samples	506
Animal Samples	7
Plant Samples	162
Total Samples	697

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
7091	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	ASM24685v1 assembly for Niastella koreensis GR20-10	complete	GCA_000246855	700598.3	2506520016	700598	99.1
66792	ASM207798v1 assembly for Niastella koreensis DSM 17620	contig	GCA_002077985	354356.3	2802429642	354356	62.42

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
7091	Niastella koreensis strain GR20-10 16S ribosomal RNA gene, partial sequence	DQ244077	1468		700598

GC content

@ref	GC-content (mol%)	Method
7091	45.8	high performance liquid chromatography (HPLC)
31772	45.8

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Niastella koreensis GR20-10
NCBI: GCA_000246855

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	97.40	no
125439	motility	BacteriaNetⓘ	no	65.90	no
125439	gram_stain	BacteriaNetⓘ	negative	99.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	95.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Niastella koreensis GR20-10 GR20-10
NCBI: GCA_000246855.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	89.46	yes
125438	anaerobic	anaerobicⓘ	no	97.32	yes
125438	aerobic	aerobicⓘ	yes	89.18	yes
125438	spore-forming	spore-formingⓘ	no	79.67	yes
125438	thermophilic	thermophileⓘ	no	94.94	yes
125438	flagellated	motile2+ⓘ	no	86.75	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Metabolism	Substrate specificity, regiospecificity, and processivity in glycoside hydrolase family 74.	Arnal G, Stogios PJ, Asohan J, Attia MA, Skarina T, Viborg AH, Henrissat B, Savchenko A, Brumer H.	J Biol Chem	10.1074/jbc.ra119.009861	2019
Phylogeny	Niastella soli sp. nov., isolated from rhizospheric soil of a persimmon tree.	Akter S, Park JH, Rahman MM, Huq MA	Int J Syst Evol Microbiol	10.1099/ijsem.0.004870	2021
Phylogeny	Niastellahibisci sp. nov., isolated from rhizosphere soil of mugunghwa, the Korean national flower.	Yan ZF, Lin P, Wang YS, Gao W, Li CT, Kook MC, Yi TH	Int J Syst Evol Microbiol	10.1099/ijsem.0.001498	2016
Phylogeny	Niastella gongjuensis sp. nov., isolated from greenhouse soil.	Kim SJ, Ahn JH, Weon HY, Hong SB, Seok SJ, Kim JS, Kwon SW	Int J Syst Evol Microbiol	10.1099/ijsem.0.000387	2015
Phylogeny	Niastella populi sp. nov., isolated from soil of Euphrates poplar (Populus euphratica) forest, and emended description of the genus Niastella.	Zhang K, Wang Y, Tang Y, Dai J, Zhang L, An H, Luo G, Rahman E, Fang C	Int J Syst Evol Microbiol	10.1099/ijs.0.012112-0	2009
Phylogeny	Lacibacter cauensis gen. nov., sp. nov., a novel member of the phylum Bacteroidetes isolated from sediment of a eutrophic lake.	Qu JH, Yuan HL, Yang JS, Li HF, Chen N	Int J Syst Evol Microbiol	10.1099/ijs.0.003475-0	2009
Phylogeny	Niabella aurantiaca gen. nov., sp. nov., isolated from a greenhouse soil in Korea.	Kim BY, Weon HY, Yoo SH, Hong SB, Kwon SW, Stackebrandt E, Go SJ	Int J Syst Evol Microbiol	10.1099/ijs.0.64614-0	2007
Phylogeny	Niastella koreensis gen. nov., sp. nov. and Niastella yeongjuensis sp. nov., novel members of the phylum Bacteroidetes, isolated from soil cultivated with Korean ginseng.	Weon HY, Kim BY, Yoo SH, Lee SY, Kwon SW, Go SJ, Stackebrandt E	Int J Syst Evol Microbiol	10.1099/ijs.0.64242-0	2006

References

#7091	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 17620
#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 )
#28045	IJSEM 1777 2006 ( DOI 10.1099/ijs.0.64242-0 , PubMed 16902007 )
#31772	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 #28045
#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) .
#66793	Mukherjee et al.: GEBA: 1,003 reference genomes of bacterial and archaeal isolates expand coverage of the tree of life. 35: 676 - 683 2017 ( DOI 10.1038/nbt.3886 , PubMed 28604660 )
#66794	Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 )
#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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Niastella koreensis (DSM 17620, KACC 11465, GR20-10)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Multimedia

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Enzymes

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000246855

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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