Ollibium composti (BCRC 81024, JCM 31762)

Name: Ollibium composti (BCRC 81024, JCM 31762)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164127

Type strain

Culture col. no. BCRC 81024 JCM 31762

NCBI tax ID(s) 2675109

Special Collections JCM

History JCM <-- C.-C. Young; Natl. Chung Hsing Univ., Taiwan; CC-YTH430.

Links

Ollibium composti JCM 31762 is a bacterium that was isolated from Compost from a greenhouse located at National Chung Hsing University.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 27948

JCM 31762,BCRC 81024

@ref 20215

Last LPSN update 2026-05-29 08:45:20

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Hyphomicrobiales

Family Bartonellaceae

Genus Ollibium

Species Ollibium composti

Full scientific name Ollibium composti (Lin et al. 2020) Li et al. 2025

Synonyms (1)

Mesorhizobium composti

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	97.645
125438	negative	97.083

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	97.989

Spore formation

@ref	Spore formation	Confidence
125438		91.813
125439		99.741

Observation

67770

Observationquinones: Q- 10

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
67770	Compost from a greenhouse located at National Chung Hsing University	Taichung	Taiwan, Province of China	TWN	Asia

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM480128v1 assembly for Ollibium composti CC-YTH430	contig	GCA_004801285	2565923.4	2961091479	2675109	69.85

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Mesorhizobium composti 16S ribosomal RNA gene, partial sequence	KX988315	1422		2675109

GC content

@ref	GC-content (mol%)	Method
67770	61.8-62.2	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM480128v1 assembly for Ollibium composti CC-YTH430
NCBI: GCA_004801285

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.99	no
125439	motility	BacteriaNetⓘ	yes	65.76	no
125439	gram_stain	BacteriaNetⓘ	negative	97.65	no
125439	spore_formation	BacteriaNetⓘ	no	99.74	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Mesorhizobium composti CC-YTH430
NCBI: GCA_004801285.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.08	no
125438	anaerobic	anaerobicⓘ	no	94.35	no
125438	aerobic	aerobicⓘ	yes	79.91	no
125438	spore-forming	spore-formingⓘ	no	91.81	no
125438	thermophilic	thermophileⓘ	no	96.42	yes
125438	flagellated	motile2+ⓘ	yes	53.15	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Validation List no. 221: 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.0.006562	2025
Phylogeny	Phylogenomic analyses and reclassification of the Mesorhizobium complex: proposal for 9 novel genera and reclassification of 15 species.	Li Y, Guo T, Sun L, Wang ET, Young JPW, Tian CF.	BMC Genomics	10.1186/s12864-024-10333-y	2024
Phylogeny	Mesorhizobium composti sp. nov., isolated from compost.	Lin SY, Hameed A, Hsieh YT, Young CC	Antonie Van Leeuwenhoek	10.1007/s10482-019-01270-y	2019

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 )

Content

About us

Ollibium composti (BCRC 81024, JCM 31762)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Isolation, sampling and environmental information

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_004801285

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media