Cite this strain

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

Links

Name and taxonomic classification

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

Culture Collection Numbers

CGMCC 1.7285 JCM 15534 908087

Last LPSN update 2024-12-09 10:49:16

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
29079	negative	1.75 µm	0.5 µm	rod-shaped
125438	negative

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
29079	positive	optimum	8.5
29079	positive	growth	6.5-10.0

Physiology and metabolism

Halophily

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

Observation

67770

Observationquinones: Q-8

Spore formation

@ref	Spore formation	Confidence
125438		93.563

Enzymes

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

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

Oxygen tolerance

@ref	Oxygen tolerance
29079	aerobe
125439	obligate aerobe

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Marine

Isolation

@ref	Sample type
29079	seawater
67770	Coastal seawater sample collected from the East China Sea

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

Safety information

Sequence information

GC content

@ref	GC-content (mol%)
29079	45.2
67770	45.2
67770	47.4

16S sequences

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

Genome sequences

@ref	Description	Accession	Assembly level	Database	NCBI tax ID
66792	Idiomarina maritima strain CGMCC 1.7285	519453.3	wgs	PATRIC	519453
66792	Idiomarina maritima CGMCC 1.7285	2617270903	draft	JGI IMG/M	519453
67770	Pseudidiomarina maritima CGMCC 1.7285	GCA_900115255	contig		519453

Genome-based predictions

Predictions

Predictions from Diaspora project based on:
Pseudidiomarina maritima CGMCC 1.7285
NCBI: GCA_900115255

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	85.70	no
125439	motility	BacteriaNetⓘ	yes	65.10	no
125439	gram_stain	BacteriaNetⓘ	negative	80.30	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.70	no

Predictions from Diaspora project 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

External links

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

Culture collection no.

Culture collection no.
CGMCC 1.7285
JCM 15534
908087

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 )
#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 (see below)
#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 .

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