Pseudomonas rhizoryzae (ACCC 61555, JCM 33201)

Name: Pseudomonas rhizoryzae (ACCC 61555, JCM 33201)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164481

Type strain

Culture col. no. ACCC 61555 JCM 33201

NCBI tax ID(s) 2571129

Special Collections JCM

History JCM <-- X. Zhang; Inst. of Agric. Resour. & Reg. Plann., CAAS, China; RY24.

Links

Pseudomonas rhizoryzae JCM 33201 is a bacterium that was isolated from Rice seeds sampled in Hunan.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 133282

JCM 33201

@ref 20215

Last LPSN update 2026-05-29 08:45:25

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Pseudomonadales

Family Pseudomonadaceae

Genus Pseudomonas

Species Pseudomonas rhizoryzae

Full scientific name Pseudomonas rhizoryzae Wang et al. 2020

Synonyms (1)

"Chryseomonas rhizoryzae"

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	91.504
125438	negative	98

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		99.657

Observation

67770

Observationquinones: Q-9

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
67770	Rice seeds sampled in Hunan	China	CHN	Asia

Taxonmaps

69479

Global distribution of 16S sequence MK759856 (>99% sequence identity) for Pseudomonas from Microbeatlas

Aquatic Samples	11430
Soil Samples	11121
Animal Samples	37524
Plant Samples	11652
Total Samples	71727

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM525061v1 assembly for Pseudomonas rhizoryzae RY24	contig	GCA_005250615	2571129.3	2917832318	2571129	68.16

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Pseudomonas rhizoryzae strain RY24 16S ribosomal RNA gene, partial sequence	MK759856	1533		2571129

GC content

@ref	GC-content (mol%)	Method
67770	64.82	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM525061v1 assembly for Pseudomonas rhizoryzae RY24
NCBI: GCA_005250615

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	gram_stain	BacteriaNetⓘ	negative	91.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	61.82	no
125439	motility	BacteriaNetⓘ	yes	75.67	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 rhizoryzae RY24
NCBI: GCA_005250615.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.00	no
125438	anaerobic	anaerobicⓘ	no	99.40	no
125438	aerobic	aerobicⓘ	yes	86.42	no
125438	spore-forming	spore-formingⓘ	no	80.31	no
125438	thermophilic	thermophileⓘ	no	99.00	yes
125438	flagellated	motile2+ⓘ	yes	86.09	no

Literature

Topic	Title	Authors	Journal	DOI	Year
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 rhizoryzae sp. nov., isolated from rice.	Wang X, He SW, Guo HB, Thin KK, Gao JS, Wang Y, Zhang XX	Int J Syst Evol Microbiol	10.1099/ijsem.0.003852	2020

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 rhizoryzae (ACCC 61555, JCM 33201)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Spore formation

Observation

Isolation, sampling and environmental information

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_005250615

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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