Alishewanella jeotgali (DSM 24035, JCM 15561, KCTC 22429)

Name: Alishewanella jeotgali (DSM 24035, JCM 15561, KCTC 22429)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 442

Type strain

Strain Designation MS1

Culture col. no. DSM 24035 JCM 15561 KCTC 22429 MS1 CGMCC 1.10666

NCBI tax ID(s) 1129374 545533

Special Collections DSMZ JCM KCTC Literature strains

History <- KCTC <- J.-W. Bae, Korea Research Institute of Bioscience & Biotechnol. (KRIBB), Daejon, Republic of Korea; MS1 J.-W. Bae MS1. <- JW Bae, KRIBB

Links

Alishewanella jeotgali MS1 is a facultative anaerobe, Gram-negative, motile bacterium that was isolated from gajami sikhae , a traditional fermented Korean food.

Gram-negative motile rod-shaped facultative anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 364110

JCM 15561,KCTC 22429,LMG 26133,DSM 24035

@ref 20215

Last LPSN update 2026-02-09 11:17:52

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Chromatiales

Family Chromatiaceae

Genus Alishewanella

Species Alishewanella jeotgali

Full scientific name Alishewanella jeotgali Kim et al. 2009

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
29144	negative	2-6 µm	1 µm	rod-shaped
67771	negative
125438	negative				98.5
125439	negative				98.6

Multimedia

@ref:	17482
multimedia content:	DSM_24035.jpg
multimedia.multimedia content:	https://www.dsmz.de/microorganisms/photos/DSM_24035.jpg
intellectual property rights:	© Leibniz-Institut DSMZ
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
17482	REACTIVATION WITH LIQUID MEDIUM (DSMZ Medium 535b)		Medium recipe at MediaDive	Name: REACTIVATION WITH LIQUID MEDIUM (DSMZ Medium 535b) Composition: Trypticase soy broth 30.0 g/l Casein peptone 17.0 g/l Agar 15.0 g/l NaCl 5.0 g/l Soy peptone 3.0 g/l K2HPO4 2.5 g/l D(+)-Glucose 2.5 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
17482	positive	growth	28
29144	positive	growth	04-40
29144	positive	optimum	37
67770	positive	growth	37
67771	positive	growth	30

Culture pH

@ref	Ability	Type	PH	PH range
29144	positive	optimum	8
29144	positive	growth	6.5-9.5	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
29144	facultative anaerobe
67771	aerobe

Spore formation

@ref	Spore formation	Confidence
125438		90.33
125439		97.9

Halophily

@ref	Salt	Growth	Tested relation	Concentration
29144	NaCl	positive	growth	1.0-2.0 %
29144	NaCl	positive	optimum	1 %

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
29144	4853 ChEBI	esculin	+	hydrolysis
29144	17234 ChEBI	glucose	+	carbon source
29144	28087 ChEBI	glycogen	+	carbon source
29144	17306 ChEBI	maltose	+	carbon source
29144	17632 ChEBI	nitrate	+	reduction
29144	17992 ChEBI	sucrose	+	carbon source
29144	27082 ChEBI	trehalose	+	carbon source

Enzymes

@ref	Value	Activity	Ec
29144	acid phosphatase	+	3.1.3.2
29144	alkaline phosphatase	+	3.1.3.1
29144	catalase	+	1.11.1.6
29144	cytochrome oxidase	+	1.9.3.1
29144	gelatinase	+

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Food production	#Seafood
#Engineered	#Food production	#Fermented

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
17482	gajami sikhae (jeotgal), a traditional fermented Korean food	Republic of Korea	KOR	Asia
67770	Gajami sikhae (jeotgal), a traditional Korean fermented seafood
67771	From Flatfish Sik Hae	Republic of Korea	KOR	Asia

Taxonmaps

69479

Global distribution of 16S sequence EU817498 (>99% sequence identity) for Alishewanella jeotgali from Microbeatlas

Aquatic Samples	197
Soil Samples	7
Animal Samples	113
Plant Samples	3
Total Samples	320

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
17482	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
67770	ASM24573v2 assembly for Alishewanella jeotgali KCTC 22429	contig	GCA_000245735	1129374.4	2513237355	1129374	66.14

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
17482	Alishewanella jeotgali strain MS1 16S ribosomal RNA gene, partial sequence	EU817498	1490		1129374
124043	Alishewanella jeotgali KCTC 22429 16S ribosomal RNA gene, partial sequence.	MW111182	649		1129374

GC content

@ref	GC-content (mol%)	Method
17482	53.6	thermal denaturation, midpoint method (Tm)
29144	53.6
67770	50.66	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Alishewanella jeotgali KCTC 22429
NCBI: GCA_000245735

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	97.90	no
125439	motility	BacteriaNetⓘ	yes	79.60	no
125439	gram_stain	BacteriaNetⓘ	negative	98.60	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	83.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Alishewanella jeotgali KCTC 22429
PATRIC: 1129374.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.50	no
125438	anaerobic	anaerobicⓘ	no	95.21	yes
125438	spore-forming	spore-formingⓘ	no	90.33	no
125438	aerobic	aerobicⓘ	yes	73.80	no
125438	thermophilic	thermophileⓘ	no	97.76	yes
125438	flagellated	motile2+ⓘ	yes	87.78	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Structural and biophysical properties of FopA, a major outer membrane protein of Francisella tularensis.	Nagaratnam N, Martin-Garcia JM, Yang JH, Goode MR, Ketawala G, Craciunescu FM, Zook JD, Sonowal M, Williams D, Grant TD, Fromme R, Hansen DT, Fromme P.	PLoS One	10.1371/journal.pone.0267370	2022
Metabolism	Structural insights into the multispecific recognition of dipeptides of deep-sea gram-negative bacterium Pseudoalteromonas sp. strain SM9913.	Li CY, Chen XL, Qin QL, Wang P, Zhang WX, Xie BB, Su HN, Zhang XY, Zhou BC, Zhang YZ.	J Bacteriol	10.1128/jb.02600-14	2015
Enzymology	Identification, cloning, and expression of L-amino acid oxidase from marine Pseudoalteromonas sp. B3.	Yu Z, Zhou N, Qiao H, Qiu J.	ScientificWorldJournal	10.1155/2014/979858	2014
Biotechnology	Text mining tools for extracting information about microbial biodiversity in food.	Chaix E, Deleger L, Bossy R, Nedellec C.	Food Microbiol	10.1016/j.fm.2018.04.011	2019
Enzymology	Life-style and genome structure of marine Pseudoalteromonas siphovirus B8b isolated from the northwestern Mediterranean Sea.	Lara E, Holmfeldt K, Solonenko N, Sa EL, Ignacio-Espinoza JC, Cornejo-Castillo FM, Verberkmoes NC, Vaque D, Sullivan MB, Acinas SG.	PLoS One	10.1371/journal.pone.0114829	2015
Genetics	Genome sequence of extracellular-protease-producing Alishewanella jeotgali isolated from traditional Korean fermented seafood.	Jung J, Chun J, Park W	J Bacteriol	10.1128/JB.00153-12	2012
Phylogeny	Alishewanella agri sp. nov., isolated from landfill soil.	Kim MS, Jo SK, Roh SW, Bae JW.	Int J Syst Evol Microbiol	10.1099/ijs.0.011684-0	2010
Phylogeny	Alishewanella jeotgali sp. nov., isolated from traditional fermented food, and emended description of the genus Alishewanella.	Kim MS, Roh SW, Nam YD, Chang HW, Kim KH, Jung MJ, Choi JH, Park EJ, Bae JW	Int J Syst Evol Microbiol	10.1099/ijs.0.007260-0	2009

References

#17482	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 24035
#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 )
#25568	IJSEM 2313 2009 ( DOI 10.1099/ijs.0.007260-0 , PubMed 19620373 )
#29144	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 #25568
#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 .
#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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Alishewanella jeotgali (DSM 24035, JCM 15561, KCTC 22429)

Name and taxonomic classification

Morphology

Cell morphology

Multimedia

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

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_000245735

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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