Kushneria konosiri (KACC 14623, JCM 16805, X49)

Name: Kushneria konosiri (KACC 14623, JCM 16805, X49)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 140736

Type strain

Strain Designation X49

Culture col. no. KACC 14623 JCM 16805 X49

NCBI tax ID(s) 698828

Special Collections JCM Literature strains

History J.-W. Bae X49.

Links

Kushneria konosiri X49 is an obligate aerobe, Gram-negative, motile bacterium that forms circular colonies and was isolated from Daemi-jeot, a traditional Korean salted and fermented seafood, which is made of larval gizzard shad with solar salt.

Gram-negative motile rod-shaped colony-forming obligate aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 133346

JCM 16805

@ref 20215

Last LPSN update 2026-02-09 11:33:42

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Oceanospirillales

Family Halomonadaceae

Genus Kushneria

Species Kushneria konosiri

Full scientific name Kushneria konosiri Yun et al. 2017

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
43515	negative	1.2-3.2 µm	0.5-1 µm	rod-shaped
125439	negative				99.6
125438	negative				100

Colony morphology

@ref	Colony color	Colony shape	Incubation period	Medium used
43515	Orange	circular	2 days	MA agar

Culture and growth conditions

Culture medium

@ref	Name	Growth
43515	Marine agar (MA)

Culture temp

@ref	Growth	Type	Temperature (°C)
43515	positive	growth	10-37
43515	positive	optimum	15-25
67770	positive	growth	30

Culture pH

@ref	Ability	Type	PH	PH range
43515	positive	optimum	5-7
43515	positive	growth	4.5-8.5	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
43515	obligate aerobe
125439	aerobe	95.1

Spore formation

@ref	Spore formation	Confidence
125439		99.2

Halophily

@ref	Salt	Growth	Tested relation	Concentration
43515	NaCl	positive	growth	0-26 %(w/v)
43515	NaCl	positive	optimum	11-19 %(w/v)

Observation

67770

Observationquinones: Q-9

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
43515	16808 ChEBI	2-dehydro-D-gluconate	-	builds acid from
43515	58143 ChEBI	5-dehydro-D-gluconate	-	builds acid from
43515	17128 ChEBI	adipate	-	assimilation
43515	27613 ChEBI	amygdalin	-	builds acid from
43515	18305 ChEBI	arbutin	-	builds acid from
43515	17057 ChEBI	cellobiose	+	builds acid from
43515	17108 ChEBI	D-arabinose	-	builds acid from
43515	18333 ChEBI	D-arabitol	+	builds acid from
43515	15824 ChEBI	D-fructose	+	builds acid from
43515	28847 ChEBI	D-fucose	+	builds acid from
43515	12936 ChEBI	D-galactose	+	builds acid from
43515	17634 ChEBI	D-glucose	-	fermentation
43515	17634 ChEBI	D-glucose	+	assimilation
43515	17634 ChEBI	D-glucose	+	builds acid from
43515	62318 ChEBI	D-lyxose	+	builds acid from
43515	16899 ChEBI	D-mannitol	-	assimilation
43515	16899 ChEBI	D-mannitol	-	builds acid from
43515	16024 ChEBI	D-mannose	+	assimilation
43515	16024 ChEBI	D-mannose	+	builds acid from
43515	16988 ChEBI	D-ribose	+	builds acid from
43515	17924 ChEBI	D-sorbitol	-	builds acid from
43515	16443 ChEBI	D-tagatose	-	builds acid from
43515	65327 ChEBI	D-xylose	+	builds acid from
43515	27689 ChEBI	decanoate	-	assimilation
43515	17113 ChEBI	erythritol	+	builds acid from
43515	4853 ChEBI	esculin	+	builds acid from
43515	4853 ChEBI	esculin	+	hydrolysis
43515	16813 ChEBI	galactitol	-	builds acid from
43515	5291 ChEBI	gelatin	+	hydrolysis
43515	28066 ChEBI	gentiobiose	+	builds acid from
43515	24265 ChEBI	gluconate	-	builds acid from
43515	17754 ChEBI	glycerol	+	builds acid from
43515	28087 ChEBI	glycogen	-	builds acid from
43515	15443 ChEBI	inulin	-	builds acid from
43515	30849 ChEBI	L-arabinose	+	assimilation
43515	30849 ChEBI	L-arabinose	+	builds acid from
43515	18403 ChEBI	L-arabitol	+	builds acid from
43515	18287 ChEBI	L-fucose	-	builds acid from
43515	62345 ChEBI	L-rhamnose	-	builds acid from
43515	17266 ChEBI	L-sorbose	-	builds acid from
43515	65328 ChEBI	L-xylose	-	builds acid from
43515	17716 ChEBI	lactose	+	builds acid from
43515	25115 ChEBI	malate	+	assimilation
43515	17306 ChEBI	maltose	+	assimilation
43515		maltose hydrate	+	builds acid from
43515	6731 ChEBI	melezitose	+	builds acid from
43515	28053 ChEBI	melibiose	+	builds acid from
43515	43943 ChEBI	methyl alpha-D-mannoside	-	builds acid from
43515	74863 ChEBI	methyl beta-D-xylopyranoside	-	builds acid from
43515	37657 ChEBI	methyl D-glucoside	-	builds acid from
43515	17268 ChEBI	myo-inositol	-	builds acid from
43515	506227 ChEBI	N-acetylglucosamine	-	assimilation
43515	506227 ChEBI	N-acetylglucosamine	-	builds acid from
43515	17632 ChEBI	nitrate	-	reduction
43515	18401 ChEBI	phenylacetate	-	assimilation
43515	32032 ChEBI	potassium gluconate	+	assimilation
43515	16634 ChEBI	raffinose	-	builds acid from
43515	15963 ChEBI	ribitol	+	builds acid from
43515	17814 ChEBI	salicin	-	builds acid from
43515	53258 ChEBI	sodium citrate	+	assimilation
43515	28017 ChEBI	starch	-	builds acid from
43515	28017 ChEBI	starch	-	hydrolysis
43515	17992 ChEBI	sucrose	+	builds acid from
43515	27082 ChEBI	trehalose	+	builds acid from
43515	32528 ChEBI	turanose	+	builds acid from
43515	53424 ChEBI	tween 20	+	hydrolysis
43515	53423 ChEBI	tween 40	-	hydrolysis
43515	53425 ChEBI	tween 60	-	hydrolysis
43515	53426 ChEBI	tween 80	-	hydrolysis
43515	17151 ChEBI	xylitol	+	builds acid from

Metabolite production

@ref	Chebi-ID	Metabolite	Production
43515	35581 ChEBI	indole

Enzymes

@ref	Value	Activity	Ec
43515	acid phosphatase	+	3.1.3.2
43515	alkaline phosphatase	+	3.1.3.1
43515	alpha-chymotrypsin	+	3.4.21.1
43515	alpha-fucosidase	-	3.2.1.51
43515	alpha-galactosidase	-	3.2.1.22
43515	alpha-glucosidase	+	3.2.1.20
43515	alpha-mannosidase	-	3.2.1.24
43515	arginine dihydrolase	-	3.5.3.6
43515	beta-galactosidase	-	3.2.1.23
43515	beta-glucosidase	+	3.2.1.21
43515	beta-glucuronidase	-	3.2.1.31
43515	catalase	+	1.11.1.6
43515	cystine arylamidase	-	3.4.11.3
43515	cytochrome oxidase	-	1.9.3.1
43515	esterase Lipase (C 8)	+
43515	leucine arylamidase	-	3.4.11.1
43515	lipase (C 14)	-
43515	N-acetyl-beta-glucosaminidase	-	3.2.1.52
43515	naphthol-AS-BI-phosphohydrolase	+
43515	trypsin	-	3.4.21.4
43515	urease	-	3.5.1.5
43515	valine arylamidase	-

Fatty acid profile

Metadata FA analysis

@ref

43515

Fatty acid	Percentage
C18:1ω7c	32.4
C16:1ω7c / C16:1ω6c	26.2
C16:0	16.2
C14:0 2OH	5.3
11-methyl C18:1ω7c	4.3
C17:1ω6c	4.1
C14:0	3.9
C17:0	2.1
C12:0	1.3
C18:0	1.2

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Condition	#Saline	-
#Engineered	#Food production	#Seafood
#Host	#Fishes	-
#Engineered	#Food production	#Fermented

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
43515	Daemi-jeot, a traditional Korean salted and fermented seafood, which is made of larval gizzard shad (Konosirus punctatus) with solar salt	A market in Goheung country	Republic of Korea	KOR	Asia
67770	Korean traditional salt-fermented seafood Daemi-jeot

Taxonmaps

69479

Global distribution of 16S sequence GU198748 (>99% sequence identity) for Kushneria from Microbeatlas

Aquatic Samples	23
Soil Samples	6
Animal Samples	51
Plant Samples	6
Total Samples	86

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM215514v1 assembly for Kushneria konosiri X49	complete	GCA_002155145	698828.3	2751185544	698828	98.59

16S sequences

@ref	Description	Accession	Database
43515	Kushneria konosiri 16S ribosomal RNA gene, partial sequence	GU198748

GC content

@ref	GC-content (mol%)	Method
43515	59.1
67770	59.1	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Kushneria konosiri X49
NCBI: GCA_002155145

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.20	no
125439	motility	BacteriaNetⓘ	yes	85.60	no
125439	gram_stain	BacteriaNetⓘ	negative	99.60	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	95.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Kushneria konosiri X49
NCBI: GCA_002155145.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	100.00	yes
125438	anaerobic	anaerobicⓘ	no	96.58	yes
125438	aerobic	aerobicⓘ	yes	87.77	yes
125438	spore-forming	spore-formingⓘ	no	88.37	no
125438	thermophilic	thermophileⓘ	no	98.79	yes
125438	flagellated	motile2+ⓘ	yes	76.56	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Complete genome sequence of the halophile bacterium Kushneria konosiri X49^T, isolated from salt-fermented Konosirus punctatus.	Yun JH, Sung H, Kim HS, Tak EJ, Kang W, Lee JY, Hyun DW, Kim PS, Bae JW.	Stand Genomic Sci	10.1186/s40793-018-0324-0	2018
Phylogeny	Kushneria konosiri sp. nov., isolated from the Korean salt-fermented seafood Daemi-jeot.	Yun JH, Park SK, Lee JY, Jung MJ, Bae JW	Int J Syst Evol Microbiol	10.1099/ijsem.0.002170	2017

References

#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 )
#43515	Ji-Hyun Yun, Seong-Kyu Park, June-Young Lee, Mi-Ja Jung and Jin-Woo Bae: Kushneria konosiri sp. nov., isolated from the Korean salt-fermented seafood Daemi-jeot. IJSEM 67: 3576 - 3582 2017 ( DOI 10.1099/ijsem.0.002170 , PubMed 28866997 )
#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 .
#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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Kushneria konosiri (KACC 14623, JCM 16805, X49)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Observation

Metabolite utilization

Metabolite production

Enzymes

Fatty acid profile

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_002155145

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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