Pseudomonas sp. (JCM 9490, ATCC 15926, BCRC 14938)

Name: Pseudomonas sp. (JCM 9490, ATCC 15926, BCRC 14938)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 166039

Type strain

Culture col. no. JCM 9490 ATCC 15926 BCRC 14938

NCBI tax ID(s) 1775541

Special Collections JCM

History JCM <-- ATCC 15926 <-- Eli Lilly & Co.; A10338.3.

Links

JCM 9490 is a bacterium that was isolated from Soil.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 36583

ATCC 15926,JCM 9490,CCRC 14938,LMD 82.52,NCCB 82052,BCRC 14938

@ref 20215

Last LPSN update 2026-05-29 08:45:48

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Pseudomonadales

Family Pseudomonadaceae

Genus Pseudomonas

Full scientific name Pseudomonas Migula 1894 (Approved Lists 1980)

Synonyms (9)

Metapseudomonas
Zestomonas
"Caenipseudomonas"
Phytopseudomonas
Ectopseudomonas
Aquipseudomonas
Geopseudomonas
Flavimonas
Chryseomonas

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	97.988
125438	negative	95.294

Culture and growth conditions

Culture temp

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

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		99.663

Compound production

67770

CompoundAntibiotic A10338

Isolation, sampling and environmental information

Isolation

67770

Sample typeSoil

Taxonmaps

69479

Global distribution of 16S sequence LC107616 (>99% sequence identity) for Pseudomonas from Microbeatlas

Aquatic Samples	1
Soil Samples	3
Animal Samples	6
Plant Samples	3
Total Samples	13

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM2874796v1 assembly for Pseudomonas chlororaphis ATCC 15926	complete	GCA_028747965	587753.166	8084856734	587753	96.24

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Pseudomonas sp. JCM 9490 gene for 16S ribosomal RNA, partial sequence	LC107616	1459		1775541

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM2874796v1 assembly for Pseudomonas chlororaphis ATCC 15926
NCBI: GCA_028747965

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	88.07	no
125439	gram_stain	BacteriaNetⓘ	negative	97.99	no
125439	motility	BacteriaNetⓘ	yes	87.32	no
125439	spore_formation	BacteriaNetⓘ	no	99.66	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Pseudomonas chlororaphis ATCC 15926
NCBI: GCA_028747965.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	95.29	no
125438	anaerobic	anaerobicⓘ	no	99.16	no
125438	aerobic	aerobicⓘ	yes	87.96	no
125438	spore-forming	spore-formingⓘ	no	82.33	no
125438	thermophilic	thermophileⓘ	no	98.50	no
125438	flagellated	motile2+ⓘ	yes	86.38	no

Literature

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;
#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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