Pseudidiomarina tainanensis (CGMCC 1.7285, JCM 15534, 908087)

Name: Pseudidiomarina tainanensis (CGMCC 1.7285, JCM 15534, 908087)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 133466

Type strain

Strain Designation 908087

Culture col. no. CGMCC 1.7285 JCM 15534 908087

NCBI tax ID(s) 519453

Special Collections JCM Literature strains

History JCM <-- X.-W. Xu 908087.

Links

Pseudidiomarina tainanensis 908087 is an aerobe, Gram-negative, motile bacterium that was isolated from seawater.

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

Name and taxonomic classification

SI-ID 362833

CGMCC 1.7285,JCM 15534

@ref 20215

Last LPSN update 2026-05-29 08:38:06

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Alteromonadales

Family Idiomarinaceae

Genus Pseudidiomarina

Species Pseudidiomarina tainanensis

Full scientific name Pseudidiomarina tainanensis Jean et al. 2009

Synonyms (3)

Idiomarina tainanensis
Pseudidiomarina maritima
Idiomarina maritima

BacDive ID	Other strains from **Pseudidiomarina tainanensis** (1)	Type strain
133426	P. tainanensis PIN1, BCRC 17750, JCM 15084 (type strain)

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Motility	Confidence
29079	negative	1.75 µm	0.5 µm	rod-shaped
125438	negative					98.744

Pigmentation

29079

Productionno

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
29079	positive	growth	10-45
29079	positive	optimum	37
67770	positive	growth	30

Culture pH

@ref	Ability	Type	PH	PH range
29079	positive	optimum	8.5
29079	positive	growth	6.5-10.0	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
29079	aerobe
125439	obligate aerobe	99.724

Spore formation

@ref	Spore formation	Confidence
125438		93.563
125439		93.79

Halophily

@ref	Salt	Growth	Tested relation	Concentration
29079	NaCl	positive	growth	0.5-15 %
29079	NaCl	positive	optimum	3 %

Observation

67770

Observationquinones: Q-8

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
29079	53424 ChEBI	tween 20	+	carbon source
29079	53426 ChEBI	tween 80	+	carbon source

Enzymes

@ref	Value	Activity	Ec
29079	catalase	+	1.11.1.6
29079	cytochrome oxidase	+	1.9.3.1

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Marine

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
29079	seawater
67770	Coastal seawater sample collected from the East China Sea	China	CHN	Asia

Taxonmaps

69479

Global distribution of 16S sequence EU600203 (>99% sequence identity) for Pseudidiomarina from Microbeatlas

Aquatic Samples	337
Soil Samples	13
Animal Samples	168
Plant Samples	4
Total Samples	522

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	IMG-taxon 2617270903 annotated assembly for Pseudidiomarina maritima CGMCC 1.7285	contig	GCA_900115255	519453.3	2617270903	519453	76.41

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
29079	Pseudidiomarina maritima strain 908087 16S ribosomal RNA gene, partial sequence	EU600203	1507		519453

GC content

@ref	GC-content (mol%)	Method
29079	45.2
67770	45.2	high performance liquid chromatography (HPLC)
67770	47.4	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: IMG-taxon 2617270903 annotated assembly for Pseudidiomarina maritima CGMCC 1.7285
NCBI: GCA_900115255

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.72	no
125439	gram_stain	BacteriaNetⓘ	negative	62.58	no
125439	motility	BacteriaNetⓘ	yes	56.09	no
125439	spore_formation	BacteriaNetⓘ	no	93.79	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Idiomarina maritima strain CGMCC 1.7285
PATRIC: 519453.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.74	yes
125438	anaerobic	anaerobicⓘ	no	96.61	yes
125438	spore-forming	spore-formingⓘ	no	93.56	no
125438	aerobic	aerobicⓘ	yes	81.01	yes
125438	thermophilic	thermophileⓘ	no	97.48	no
125438	flagellated	motile2+ⓘ	no	54.49	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Pseudidiomarina maritima Wu et al. 2009 is a later heterotypic synonym of Pseudidiomarina tainanensis Jean et al. 2009 and emended description of the species.	Liu Y, Lai Q, Shao Z, Zhu HH	Int J Syst Evol Microbiol	10.1099/ijsem.0.003678	2019
Phylogeny	Idiomarina indica sp. nov., isolated from seawater.	Song L, Ren F, Huang Y, Dai X, Zhou Y	Int J Syst Evol Microbiol	10.1099/ijs.0.046789-0	2012
Phylogeny	Pseudidiomarina donghaiensis sp. nov. and Pseudidiomarina maritima sp. nov., isolated from the East China Sea.	Wu YH, Shen YQ, Xu XW, Wang CS, Oren A, Wu M	Int J Syst Evol Microbiol	10.1099/ijs.0.005702-0	2009
Phylogeny	Pseudidiomarina gelatinasegens sp. nov., isolated from surface sediment of the Terra Nova Bay, Antarctica.	Li A, Zhang M, Xu S, Chen M, Yao Q, Zhu HH	Int J Syst Evol Microbiol	10.1099/ijsem.0.003760	2020
Phylogeny	Comparative analysis of 16S rRNA signature sequences of the genus Idiomarina and Idiomarina woesei sp. nov., a novel marine bacterium isolated from the Andaman Sea.	Poddar A, Lepcha RT, Mukherjee D, Bhattacharyya D, Das SK	Res Microbiol	10.1016/j.resmic.2014.07.008	2014

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 )
#25509	IJSEM 1321 2009 ( DOI 10.1099/ijs.0.005702-0 , PubMed 19502309 )
#29079	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 #25509
#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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Pseudidiomarina tainanensis (CGMCC 1.7285, JCM 15534, 908087)

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_900115255

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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