Oricola thermophila (KCCM 43313, JCM 33661)

Name: Oricola thermophila (KCCM 43313, JCM 33661)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164626

Type strain

Culture col. no. KCCM 43313 JCM 33661

NCBI tax ID(s) 2742145

Special Collections JCM

History JCM <-- K. K. Kwon; KIOST, South Korea; MEBiC13590.

Links

Oricola thermophila JCM 33661 is a bacterium that was isolated from Tidal sediment at Incheon City .

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 132099

JCM 33661

@ref 20215

Last LPSN update 2026-05-29 08:45:27

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Hyphomicrobiales

Family Ahrensiaceae

Genus Oricola

Species Oricola thermophila

Full scientific name Oricola thermophila Yang et al. 2021

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	97.775
125438	negative	97.5

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
67770	positive	growth	45

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125438		91.269
125439		99.624

Observation

67770

Observationquinones: Q- 10

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent	Latitude	Longitude
67770	Tidal sediment at Incheon City (37° 28' N, 126° 36' E)	Republic of Korea	KOR	Asia	37.4667	126.6 37.4667/126.6

Taxonmaps

69479

Global distribution of 16S sequence MK990012 (>99% sequence identity) for Oricola from Microbeatlas

Aquatic Samples	229
Soil Samples	24
Animal Samples	17
Plant Samples	12
Total Samples	282

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM1335840v1 assembly for Oricola thermophila MEBiC13590	complete	GCA_013358405	2742145.3	8083185043	2742145	99

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Oricola thermophila strain MEBiC13590 16S ribosomal RNA gene, partial sequence	MK990012	1355		2742145

GC content

@ref	GC-content (mol%)	Method
67770	63.5	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1335840v1 assembly for Oricola thermophila MEBiC13590
BV-BRC: 2742145.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	74.26	no
125439	gram_stain	BacteriaNetⓘ	negative	97.78	no
125439	spore_formation	BacteriaNetⓘ	no	99.62	no
125439	motility	BacteriaNetⓘ	yes	51.62	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Oricola sp. MEBiC13590
PATRIC: 2742145.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.50	no
125438	anaerobic	anaerobicⓘ	no	86.17	no
125438	spore-forming	spore-formingⓘ	no	91.27	no
125438	thermophilic	thermophileⓘ	no	95.60	no
125438	aerobic	aerobicⓘ	yes	79.43	no
125438	flagellated	motile2+ⓘ	yes	66.83	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Oricola thermophila sp. nov., a marine bacterium isolated from tidal flat sediment and emended description of the genus Oricola Hameed et al. 2015.	Yang SH, Park MJ, Kwon KK	Int J Syst Evol Microbiol	10.1099/ijsem.0.004574	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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Oricola thermophila (KCCM 43313, JCM 33661)

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_013358405

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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