Pseudomonas guryensis (KCTC 82228, SR9, JCM 34509)

Name: Pseudomonas guryensis (KCTC 82228, SR9, JCM 34509)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 168167

Type strain

Strain Designation SR9

Culture col. no. KCTC 82228 SR9 JCM 34509

NCBI tax ID(s) 2759165

Special Collections JCM KCTC

Links

Pseudomonas guryensis SR9 is a bacterium of the family Pseudomonadaceae.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 27858

JCM 34509,KCTC 82228

@ref 20215

Last LPSN update 2026-05-29 08:46:18

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Pseudomonadales

Family Pseudomonadaceae

Genus Pseudomonas

Species Pseudomonas guryensis

Full scientific name Pseudomonas guryensis Kim et al. 2021

Synonyms (1)

Aquipseudomonas guryensis

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	99
125439		94.454
125439	negative	99.633

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	aerobe	90.562

Spore formation

@ref	Spore formation	Confidence
125439		99.942
125438		91.002

Isolation, sampling and environmental information

Taxonmaps

69479

Global distribution of 16S sequence MN658350 (>99% sequence identity) for Pseudomonas from Microbeatlas

Aquatic Samples	2693
Soil Samples	2406
Animal Samples	956
Plant Samples	395
Total Samples	6450

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1416478v1 assembly for Aquipseudomonas guryensis SR9	scaffold	GCA_014164785	2759165.3	3007794984	2759165	76.67

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Pseudomonas guryensis strain SR9 16S ribosomal RNA gene, partial sequence	MN658350	1465		2759165

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1416478v1 assembly for Aquipseudomonas guryensis SR9
NCBI: GCA_014164785

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	motility	BacteriaNetⓘ	yes	94.45	no
125439	gram_stain	BacteriaNetⓘ	negative	99.63	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	67.05	no
125439	spore_formation	BacteriaNetⓘ	no	99.94	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Pseudomonas guryensis SR9
NCBI: GCA_014164785.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.00	no
125438	anaerobic	anaerobicⓘ	no	96.46	no
125438	aerobic	aerobicⓘ	yes	90.56	no
125438	spore-forming	spore-formingⓘ	no	91.00	no
125438	thermophilic	thermophileⓘ	no	99.99	no
125438	flagellated	motile2+ⓘ	yes	85.04	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Validation List no. 219. Valid publication of new names and new combinations effectively published outside the IJSEM.	Oren A, Goker M.	Int J Syst Evol Microbiol	10.1099/ijsem.0.006452	2024
Phylogeny	Phylogenomics studies and molecular markers reliably demarcate genus Pseudomonas sensu stricto and twelve other Pseudomonadaceae species clades representing novel and emended genera.	Rudra B, Gupta RS.	Front Microbiol	10.3389/fmicb.2023.1273665	2023
Phylogeny	Pseudomonas guryensis sp. nov. and Pseudomonas ullengensis sp. nov., isolated from soil.	Kim CM, Jeong JW, Lee DH, Kim SB	Int J Syst Evol Microbiol	10.1099/ijsem.0.005082	2021

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) .
#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 guryensis (KCTC 82228, SR9, JCM 34509)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_014164785

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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