Cite this strain

Methylosinus sp. (JCM 32771)

Name: Methylosinus sp. (JCM 32771)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164353

Type strain

Culture col. no. JCM 32771

NCBI tax ID(s) 427

Special Collections JCM

History JCM <-- S. Kato; Natl. Inst. of Adv. Ind. Sci. & Technol., Japan; Ce-a6.

Links

JCM 32771 is a bacterium that was isolated from Sediment sample collected from a shallow pond at Hokkaido University.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 131284

JCM 32771

@ref 20215

Last LPSN update 2026-05-29 08:45:23

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Hyphomicrobiales

Family Methylocystaceae

Genus Methylosinus

Full scientific name Methylosinus (ex Whittenbury et al. 1970) Bowman et al. 1993

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	97.5
125439	negative	93.393

Culture and growth conditions

Culture temp

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

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	96.247

Spore formation

@ref	Spore formation	Confidence
125439		97.845
125438		90.135

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
67770	Sediment sample collected from a shallow pond at Hokkaido University	Sapporo, Hokkaido	Japan	JPN	Asia

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM981165v1 assembly for Methylosinus sp. Ce-a6	contig	GCA_009811655	2172005.3	2891180834	2172005	53.04

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Methylosinus sp. Ce-a6 gene for 16S ribosomal RNA, partial sequence	LC380990	1408		427

GC content

@ref	GC-content (mol%)	Method
67770	65	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM981165v1 assembly for Methylosinus sp. Ce-a6
NCBI: GCA_009811655

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	96.25	no
125439	motility	BacteriaNetⓘ	yes	43.29	no
125439	gram_stain	BacteriaNetⓘ	negative	93.39	no
125439	spore_formation	BacteriaNetⓘ	no	97.85	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Methylosinus sp. Ce-a6 Ce-a6
NCBI: GCA_009811655.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.50	no
125438	anaerobic	anaerobicⓘ	no	83.41	no
125438	aerobic	aerobicⓘ	yes	73.01	no
125438	spore-forming	spore-formingⓘ	no	90.14	no
125438	thermophilic	thermophileⓘ	no	93.50	yes
125438	flagellated	motile2+ⓘ	yes	62.79	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 )
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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