Pseudomonas matsuisoli (TBRC 7234, BCRC 80771, JCM 30078)

Name: Pseudomonas matsuisoli (TBRC 7234, BCRC 80771, JCM 30078)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 163703

Type strain

Culture col. no. TBRC 7234 BCRC 80771 JCM 30078

NCBI tax ID(s) 1515666

Special Collections JCM

Links

Pseudomonas matsuisoli JCM 30078 is a mesophilic prokaryote that was isolated from Soil near the giant statue of Mazu on Matsu Island.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 286441

BCRC 80771,JCM 30078

@ref 20215

Last LPSN update 2025-12-16 10:09:16

Domain Pseudomonadati

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Pseudomonadales

Family Pseudomonadaceae

Genus Pseudomonas

Species Pseudomonas matsuisoli

Full scientific name Pseudomonas matsuisoli Lin et al. 2015

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	99.9
125438	negative	99

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
67770	positive	growth	30	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	96.4

Spore formation

@ref	Spore formation	Confidence
125439		98.8

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
67770	Soil near the giant statue of Mazu on Matsu Island	Taiwan, Province of China	TWN	Asia

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1464763v1 assembly for Pseudomonas matsuisoli JCM 30078	scaffold	GCA_014647635	1515666.3	2990183131	1515666	73.96

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Pseudomonas matsuisoli strain CC-MHH0089 16S ribosomal RNA gene, partial sequence	KJ720680	1506		1515666
124043	Pseudomonas matsuisoli strain JCM 30078 16S ribosomal RNA gene, partial sequence.	MT760383	1357		1515666

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Pseudomonas matsuisoli JCM 30078
NCBI: GCA_014647635

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.80	no
125439	motility	BacteriaNetⓘ	yes	83.80	no
125439	gram_stain	BacteriaNetⓘ	negative	99.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	96.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Pseudomonas matsuisoli JCM 30078
NCBI: GCA_014647635.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.00	no
125438	anaerobic	anaerobicⓘ	no	98.90	no
125438	aerobic	aerobicⓘ	yes	88.84	no
125438	spore-forming	spore-formingⓘ	no	85.68	no
125438	thermophilic	thermophileⓘ	no	97.50	yes
125438	flagellated	motile2+ⓘ	yes	83.54	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Pseudomonas urumqiensis sp. nov., isolated from rhizosphere soil of Alhagi sparsifolia.	Zou Y, He S, Sun Y, Zhang X, Liu Y, Cheng Q	Int J Syst Evol Microbiol	10.1099/ijsem.0.003390	2019
Phylogeny	Pseudomonas tarimensis sp. nov., an endophytic bacteria isolated from Populus euphratica.	Anwar N, Rozahon M, Zayadan B, Mamtimin H, Abdurahman M, Kurban M, Abdurusul M, Mamtimin T, Abdukerim M, Rahman E	Int J Syst Evol Microbiol	10.1099/ijsem.0.002295	2017
Phylogeny	Pseudomonas matsuisoli sp. nov., isolated from a soil sample.	Lin SY, Hameed A, Hung MH, Liu YC, Hsu YH, Young LS, Young CC	Int J Syst Evol Microbiol	10.1099/ijs.0.000035	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 )
#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;
#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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Pseudomonas matsuisoli (TBRC 7234, BCRC 80771, JCM 30078)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_014647635

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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