Nitratireductor kimnyeongensis (DSM 19185, JCM 14851, KACC 11904)

Name: Nitratireductor kimnyeongensis (DSM 19185, JCM 14851, KACC 11904)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 11872

Type strain

Culture col. no. DSM 19185 JCM 14851 KACC 11904 Ky 101 NBRC 106418

NCBI tax ID(s) 1231184 430679

Special Collections DSMZ JCM Literature strains

History <- S. D. Lee, Cheju National Univ., Rep. of Korea; Ky 101 S. D. Lee KY101.

Links

Nitratireductor kimnyeongensis DSM 19185 is an aerobe, mesophilic, Gram-negative prokaryote that was isolated from dried seaweed.

Gram-negative motile rod-shaped aerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 402247

JCM 14851,DSM 19185

@ref 20215

Last LPSN update 2026-02-09 11:20:41

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Hyphomicrobiales

Family Phyllobacteriaceae

Genus Nitratireductor

Species Nitratireductor kimnyeongensis

Full scientific name Nitratireductor kimnyeongensis Kang et al. 2009

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
32588	negative	1.95 µm	0.45 µm	rod-shaped
125439	negative				98.1
125438	negative				99

Pigmentation

32588

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
7957	TRYPTONE SOYA BROTH (TSB) (DSMZ Medium 545)		Medium recipe at MediaDive	Name: TRYPTONE SOYA BROTH (TSB) (DSMZ Medium 545) Composition: Casein peptone 17.0 g/l NaCl 5.0 g/l Soy peptone 3.0 g/l D(+)-Glucose 2.5 g/l K2HPO4 2.5 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
7957	positive	growth	28	mesophilic
32588	positive	growth	10-40
32588	positive	optimum	30	mesophilic
67770	positive	growth	30	mesophilic

Culture pH

@ref	Ability	Type	PH	PH range
32588	positive	optimum	9.1
32588	positive	growth	6.1-12.1	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
32588	aerobe
125439	obligate aerobe	97

Spore formation

@ref	Spore formation	Confidence
125439		97.3
125438		90.571

Halophily

@ref	Salt	Growth	Tested relation	Concentration
32588	NaCl	positive	growth	<7 %

Observation

32588

Observationaggregates in clumps

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
32588	58143 ChEBI	5-dehydro-D-gluconate	+	carbon source
32588	4853 ChEBI	esculin	+	hydrolysis
32588	28757 ChEBI	fructose	+	carbon source
32588	33984 ChEBI	fucose	+	carbon source
32588	17234 ChEBI	glucose	+	carbon source
32588	18403 ChEBI	L-arabitol	+	carbon source
32588	29864 ChEBI	mannitol	+	carbon source
32588	33942 ChEBI	ribose	+	carbon source
32588	17992 ChEBI	sucrose	+	carbon source
32588	27082 ChEBI	trehalose	+	carbon source

Enzymes

@ref	Value	Activity	Ec
32588	acid phosphatase	+	3.1.3.2
32588	alkaline phosphatase	+	3.1.3.1
32588	catalase	+	1.11.1.6
32588	cytochrome oxidase	+	1.9.3.1

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2
#Host	#Algae
#Engineered	#Food production
#Condition	#Xerophilic

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
7957	dried seaweed	Jeju	Republic of Korea	KOR	Asia
67770	Dried seaweed sample collected from Kimnyeong Beach in Jeju		Republic of Korea	KOR	Asia

Taxonmaps

69479

Global distribution of 16S sequence AM498744 (>99% sequence identity) for Nitratireductor from Microbeatlas

Aquatic Samples	1046
Soil Samples	144
Animal Samples	279
Plant Samples	53
Total Samples	1522

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
7957	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	Nitratireductor kimnyeongensis strain KACC 11904	complete		430679.6		430679	99.6
66792	Nitratireductor kimnyeongensis strain KACC 11904	complete		430679.5		430679	99.6
66792	Nitratireductor kimnyeongensis strain KACC 11904	complete		430679.4		430679	99.6
66792	ASM1989139v1 assembly for Nitratireductor kimnyeongensis KACC 11904	complete	GCA_019891395	430679.3	8066140837	430679	96.38
124043	ASM4265576v1 assembly for Nitratireductor kimnyeongensis KACC 11904	scaffold	GCA_042655765			430679	67.99

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
7957	Nitratireductor kimnyeongensis partial 16S rRNA gene, type strain KY 101T	AM498744	1371	1231184
124043	Nitratireductor kimnyeongensis gene for 16S rRNA, partial sequence, strain: NBRC 106418.	AB682431	1412	1231184
124043	Nitratireductor kimnyeongensis strain KY 101 16S ribosomal RNA gene, partial sequence.	MN905363	616	430679
124043	Nitratireductor kimnyeongensis strain KY 101 16S ribosomal RNA gene, partial sequence.	PQ524586	601	430679
124043	Nitratireductor kimnyeongensis strain KY 101 16S ribosomal RNA gene, partial sequence.	MZ276318	1391	430679

GC content

7957

GC-content (mol%)60.4

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Nitratireductor kimnyeongensis KACC 11904
NCBI: GCA_019891395

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	97.30	no
125439	motility	BacteriaNetⓘ	yes	68.20	no
125439	gram_stain	BacteriaNetⓘ	negative	98.10	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Nitratireductor kimnyeongensis KACC 11904
NCBI: GCA_019891395.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.00	yes
125438	anaerobic	anaerobicⓘ	no	93.91	yes
125438	aerobic	aerobicⓘ	yes	81.49	yes
125438	spore-forming	spore-formingⓘ	no	90.57	no
125438	thermophilic	thermophileⓘ	no	96.73	yes
125438	flagellated	motile2+ⓘ	yes	51.10	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Bioprospecting seaweed derived bio-oil as a marine biofouling mitigating agent.	Gopinathan S, Krishnan S, Jothipandiyan S, Sivaraman S, Satish L, Venkatachalam P, Ramiah Shanmugam S, Paramasivam N.	Biofouling	10.1080/08927014.2025.2527774	2025
	Development of probiotic complex based on the synthetic microbial community and probiotic effects in farming Yunlong grouper	Jin Y, Chen C, Ai C, Song W, Zhao J.	Aquaculture		2024
	Exploring Seaweed-Associated Marine Microbes: Growth Impacts and Enzymatic Potential for Sustainable Resource Utilization.	Saravanan P, Chatterjee A, Kiran KJ, Bhowmick GD, Sappati PK, Nagarajan V.	Indian J Microbiol	10.1007/s12088-024-01205-w	2024
	Microremediation of tannery wastewater by siderophore producing marine bacteria.	Vijayaraj AS, Mohandass C, Joshi D.	Environ Technol	10.1080/09593330.2019.1615995	2020
Genetics	Influence of Acidification and Warming of Seawater on Biofouling by Bacteria Grown over API 5L Steel.	Lamim VB, Procopio L.	Indian J Microbiol	10.1007/s12088-021-00925-7	2021
	Prokaryotic Diversity in Oxygen Depleted Waters of the Bay of Bengal Inferred Using Culture-Dependent and -Independent Methods.	Fernandes GL, Shenoy BD, Menezes LD, Meena RM, Damare SR.	Indian J Microbiol	10.1007/s12088-019-00786-1	2019
	Synergistic Antifungal Interaction between Pseudomonas aeruginosa LV Strain Metabolites and Biogenic Silver Nanoparticles against Candida auris.	Spoladori LFA, Andriani GM, Castro IM, Suzukawa HT, Gimenes ACR, Bartolomeu-Goncalves G, Ishida K, Nakazato G, Pinge-Filho P, Machado RRB, Nakamura CV, Andrade G, Tavares ER, Yamauchi LM, Yamada-Ogatta SF.	Antibiotics (Basel)	10.3390/antibiotics12050861	2023
Metabolism	Tumor-resident Lactobacillus iners confer chemoradiation resistance through lactate-induced metabolic rewiring.	Colbert LE, El Alam MB, Wang R, Karpinets T, Lo D, Lynn EJ, Harris TA, Elnaggar JH, Yoshida-Court K, Tomasic K, Bronk JK, Sammouri J, Yanamandra AV, Olvera AV, Carlin LG, Sims T, Delgado Medrano AY, Napravnik TC, O'Hara M, Lin D, Abana CO, Li HX, Eifel PJ, Jhingran A, Joyner M, Lin L, Ramondetta LM, Futreal AM, Schmeler KM, Mathew G, Dorta-Estremera S, Zhang J, Wu X, Ajami NJ, Wong M, Taniguchi C, Petrosino JF, Sastry KJ, Okhuysen PC, Martinez SA, Tan L, Mahmud I, Lorenzi PL, Wargo JA, Klopp AH.	Cancer Cell	10.1016/j.ccell.2023.09.012	2023
Enzymology	Purification and properties of lipase from Rhizopus japonicus.	Aisaka K, Terada O.	J Biochem	10.1093/oxfordjournals.jbchem.a133264	1981
Metabolism	Fortimicin A production by Micromonospora olivoasterospora in a chemically defined medium.	Yamamoto M, Okachi R, Kawamoto I, Nara T.	J Antibiot (Tokyo)	10.7164/antibiotics.30.1064	1977
	The identification of the new species Nitratireductor thuwali sp. nov. reveals the untapped diversity of hydrocarbon-degrading culturable bacteria from the arid mangrove sediments of the Red Sea.	Marasco R, Michoud G, Sefrji FO, Fusi M, Antony CP, Seferji KA, Barozzi A, Merlino G, Daffonchio D.	Front Microbiol	10.3389/fmicb.2023.1155381	2023
	Nitratireductor rhodophyticola sp. nov., isolated from marine red algae.	Kim KH, Kristyanto S, Kim HM, Kim KR, Jeon CO.	Int J Syst Evol Microbiol	10.1099/ijsem.0.005302	2022
Phylogeny	Nitratireductor indicus sp. nov., isolated from deep-sea water.	Lai Q, Yu Z, Yuan J, Sun F, Shao Z.	Int J Syst Evol Microbiol	10.1099/ijs.0.022962-0	2011
Phylogeny	Nitratireductor pacificus sp. nov., isolated from a pyrene-degrading consortium.	Lai Q, Yu Z, Wang J, Zhong H, Sun F, Wang L, Wang B, Shao Z.	Int J Syst Evol Microbiol	10.1099/ijs.0.024356-0	2011
Phylogeny	Sphingomonas lacusdianchii sp. nov., an attached bacterium inhibited by metabolites from its symbiotic cyanobacterium.	Wang X, Xiao Y, Deng Y, Sang X, Deng QL, Wang L, Yang YW, Zhang BH, Zhang YQ.	Appl Microbiol Biotechnol	10.1007/s00253-024-13081-x	2024
Phylogeny	Nitratireductor kimnyeongensis sp. nov., isolated from seaweed.	Kang HS, Yang HL, Lee SD	Int J Syst Evol Microbiol	10.1099/ijs.0.65734-0	2009

References

#7957	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 19185
#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 )
#28802	IJSEM 1036 2009 ( DOI 10.1099/ijs.0.65734-0 , PubMed 19406788 )
#32588	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 #28802
#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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Nitratireductor kimnyeongensis (DSM 19185, JCM 14851, KACC 11904)

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

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_019891395

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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