Aquimarina mytili (KCTC 23302, JCM 17454, PSC33)

Name: Aquimarina mytili (KCTC 23302, JCM 17454, PSC33)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 133725

Type strain

Strain Designation PSC33

Culture col. no. KCTC 23302 JCM 17454 PSC33

NCBI tax ID(s) 874423

Special Collections JCM KCTC Literature strains

History C. N. Seong PSC33. <- Chi Nam Seong, Sunchon Natl. Univ.

Links

Aquimarina mytili PSC33 is an aerobe, Gram-negative, motile bacterium that was isolated from Mussel.

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

Name and taxonomic classification

SI-ID 24708

KCTC 23302,JCM 17454

@ref 20215

Last LPSN update 2026-02-09 11:32:01

Domain Bacteria

Phylum Bacteroidota

Class Flavobacteriia

Order Flavobacteriales

Family Flavobacteriaceae

Genus Aquimarina

Species Aquimarina mytili

Full scientific name Aquimarina mytili Park et al. 2012

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Flagellum arrangement	Confidence
30295	negative	2.1 µm	0.35 µm	rod-shaped	gliding
67771				rod-shaped	gliding
67771	negative
125438						92.5
125438	negative					98.5
125439	negative					98.7

Pigmentation

30295

Productionyes

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
30295	positive	growth	15-37
30295	positive	optimum	27.5
67770	positive	growth	25
67771	positive	growth	25-30

Culture pH

@ref	Ability	Type	PH	PH range
30295	positive	growth	07-09	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
30295	aerobe
67771	aerobe
125438	aerobe	90.617

Spore formation

@ref	Spore formation	Confidence
125439		94.7

Halophily

@ref	Salt	Growth	Tested relation	Concentration
30295	NaCl	positive	growth	1-4 %
30295	NaCl	positive	optimum	2 %

Observation

@ref	Observation
67770	quinones: MK-6
67771	quinones: MK-6

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
30295	4853 ChEBI	esculin	+	hydrolysis
30295	17632 ChEBI	nitrate	+	reduction

Enzymes

@ref	Value	Activity	Ec
30295	acid phosphatase	+	3.1.3.2
30295	alkaline phosphatase	+	3.1.3.1
30295	catalase	+	1.11.1.6
30295	cytochrome oxidase	+	1.9.3.1
30295	gelatinase	+

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Invertebrates (Other)	#Mollusca

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude	Host species
30295	Mussel
67770	Mussel Mytilus coruscus		Republic of Korea	KOR	Asia			Mytilus coruscus
67771	From gut content obtained from a mussel, `Mytilus coruscus`	Gwangyang Bay in the South Sea	Republic of Korea	KOR	Asia	34.8833	127.767 34.8833/127.767

Taxonmaps

69479

Global distribution of 16S sequence HM998910 (>99% sequence identity) for Aquimarina mytili subclade from Microbeatlas

Aquatic Samples	87
Soil Samples
Animal Samples	1
Plant Samples	1
Total Samples	89

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1673511v1 assembly for Aquimarina mytili KCTC 23302	contig	GCA_016735115	874423.3	3002735595	874423	63.23
124043	ASM3953764v1 assembly for Aquimarina mytili JCM 17454	contig	GCA_039537645			874423	53.63

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
30295	Aquimarina mytili strain PSC33 16S ribosomal RNA gene, partial sequence	HM998910	1429		874423

GC content

67771

GC-content (mol%)37.9

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Aquimarina mytili KCTC 23302
NCBI: GCA_016735115

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	94.70	no
125439	motility	BacteriaNetⓘ	no	63.70	no
125439	gram_stain	BacteriaNetⓘ	negative	98.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	63.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Aquimarina mytili strain KCTC 23302
PATRIC: 874423.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.50	yes
125438	anaerobic	anaerobicⓘ	no	97.80	no
125438	aerobic	aerobicⓘ	yes	90.62	yes
125438	spore-forming	spore-formingⓘ	no	89.45	no
125438	thermophilic	thermophileⓘ	no	96.41	yes
125438	flagellated	motile2+ⓘ	no	92.50	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Aquimarina longa sp. nov., isolated from seawater, and emended description of Aquimarina muelleri.	Yu T, Yin Q, Song X, Zhao R, Shi X, Zhang XH	Int J Syst Evol Microbiol	10.1099/ijs.0.041509-0	2012
Phylogeny	Aquimarina spongiicola sp. nov., isolated from spongin.	Choi KD, Lee GE, Park JS	Int J Syst Evol Microbiol	10.1099/ijsem.0.002575	2018
Phylogeny	Aquimarina mytili sp. nov., isolated from the gut microflora of a mussel, Mytilus coruscus, and emended description of Aquimarina macrocephali.	Park SC, Choe HN, Baik KS, Seong CN	Int J Syst Evol Microbiol	10.1099/ijs.0.032904-0	2011

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 )
#26636	IJSEM 1974 2012 ( DOI 10.1099/ijs.0.032904-0 , PubMed 22003036 )
#30295	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 #26636
#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;
#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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Aquimarina mytili (KCTC 23302, JCM 17454, PSC33)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

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

Sequence information

Genome sequences

Genome browser: GCA_016735115

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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