Cite this strain

"Pseudomonas qingdaonensis" (KCTC 62384, CGMCC 1.16493, JCM 32579)

BacDive ID 164301

Type strain

Culture col. no. KCTC 62384 CGMCC 1.16493 JCM 32579

NCBI tax ID(s) 2056231

Special Collections JCM KCTC

History M. Wang; Shandong Peanut Res. Inst., China; JJ3.

Links

"Pseudomonas qingdaonensis" JCM 32579 is a mesophilic prokaryote that was isolated from Peanut rhizospheric soil in Qingdao.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 27636

KCTC 62384,JCM 32579

@ref 20215

Last LPSN update 2026-02-09 11:39:49

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Pseudomonadales

Family Pseudomonadaceae

Genus Pseudomonas

Species "Pseudomonas qingdaonensis"

Full scientific name Pseudomonas qingdaonensis Wang et al. 2019

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	99.4
125439		92.7
125438	negative	99.5

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
67770	positive	growth	28	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	aerobe	90.161

Spore formation

@ref	Spore formation	Confidence
125439		99.6

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
67770	Peanut rhizospheric soil in Qingdao	Shandong Province	China	CHN	Asia

Taxonmaps

69479

Global distribution of 16S sequence MG589917 (>99% sequence identity) for Pseudomonas from Microbeatlas

Aquatic Samples	2210
Soil Samples	1775
Animal Samples	2599
Plant Samples	866
Total Samples	7450

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM280668v1 assembly for Pseudomonas qingdaonensis JJ3	scaffold	GCA_002806685	2056231.3	8035062920	2056231	68.04

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Pseudomonas qingdaonensis strain JJ3 16S ribosomal RNA gene, partial sequence	MG589917	1525		2056231

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Pseudomonas qingdaonensis JJ3
NCBI: GCA_002806685

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.60	no
125439	motility	BacteriaNetⓘ	yes	92.70	no
125439	gram_stain	BacteriaNetⓘ	negative	99.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	73.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Pseudomonas qingdaonensis JJ3
NCBI: GCA_002806685.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.50	no
125438	anaerobic	anaerobicⓘ	no	98.91	no
125438	aerobic	aerobicⓘ	yes	90.16	no
125438	spore-forming	spore-formingⓘ	no	85.20	no
125438	thermophilic	thermophileⓘ	no	97.50	yes
125438	flagellated	motile2+ⓘ	yes	86.18	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Pseudomonas qingdaonensis sp. nov., an aflatoxin-degrading bacterium, isolated from peanut rhizospheric soil.	Wang MQ, Wang Z, Yu LN, Zhang CS, Bi J, Sun J	Arch Microbiol	10.1007/s00203-019-01636-w	2019

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 )
#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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"Pseudomonas qingdaonensis" (KCTC 62384, CGMCC 1.16493, JCM 32579)

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

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_002806685

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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