Frigidibacter mobilis (cai42, LMG 27406, CGMCC 1.12518)

Name: Frigidibacter mobilis (cai42, LMG 27406, CGMCC 1.12518)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 166917

Type strain

Strain Designation cai42

Culture col. no. cai42 LMG 27406 CGMCC 1.12518

NCBI tax ID(s) 1335048

Links

Frigidibacter mobilis cai42 is a bacterium of the family Paracoccaceae.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 386942

LMG 27406

@ref 20215

Last LPSN update 2026-05-29 08:46:01

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Rhodobacterales

Family Paracoccaceae

Genus Frigidibacter

Species Frigidibacter mobilis

Full scientific name Frigidibacter mobilis Liu et al. 2020

Synonyms (1)

Defluviimonas alba

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	98.982

Culture and growth conditions

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		94.298

Isolation, sampling and environmental information

Taxonmaps

69479

Global distribution of 16S sequence KC222646 (>99% sequence identity) for Rhodobacteraceae from Microbeatlas

Aquatic Samples	828
Soil Samples	136
Animal Samples	130
Plant Samples	3
Total Samples	1097

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
20215	1	Risk group

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM162026v1 assembly for Frigidibacter mobilis cai42	complete	GCA_001620265	1335048.26	2687453399	1335048	93.62

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Defluviimonas alba strain cai42 16S ribosomal RNA gene, partial sequence	KC222646	1428		1335048

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM162026v1 assembly for Frigidibacter mobilis cai42
NCBI: GCA_001620265

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	motility	BacteriaNetⓘ	yes	41.76	no
125439	gram_stain	BacteriaNetⓘ	negative	60.18	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	85.15	no
125439	spore_formation	BacteriaNetⓘ	no	94.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Frigidibacter mobilis cai42
NCBI: GCA_001620265.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.98	no
125438	anaerobic	anaerobicⓘ	no	90.11	no
125438	aerobic	aerobicⓘ	yes	75.08	no
125438	spore-forming	spore-formingⓘ	no	88.87	no
125438	thermophilic	thermophileⓘ	no	97.25	no
125438	flagellated	motile2+ⓘ	yes	63.17	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Proposal for transfer of Defluviimonas alba to the genus Frigidibacter as Frigidibacter mobilis nom. nov.	Liu Y, Pei T, Zhang J, Yang F, Zhu H	Int J Syst Evol Microbiol	10.1099/ijsem.0.004216	2020
Genetics	Complete genome sequence of Defluviimonas alba cai42(T), a microbial exopolysaccharides producer.	Zhao JY, Geng S, Xu L, Hu B, Sun JQ, Nie Y, Tang YQ, Wu XL	J Biotechnol	10.1016/j.jbiotec.2016.09.017	2016
Phylogeny	Frigidibacter oleivorans sp. nov., isolated from a deep well with oil reservoir water.	Zhang YX, Li FL, Ma SC, Zheng GD, Chen WF, Li WJ, Wang L	Int J Syst Evol Microbiol	10.1099/ijsem.0.004294	2020
Phylogeny	Defluviimonas nitratireducens sp. nov., isolated from surface seawater.	Liu Y, Lai Q, Wang W, Shao Z	Int J Syst Evol Microbiol	10.1099/ijsem.0.002015	2017
Phylogeny	Defluviimonas alba sp. nov., isolated from an oilfield.	Pan XC, Geng S, Lv XL, Mei R, Jiangyang JH, Wang YN, Xu L, Liu XY, Tang YQ, Wang GJ, Wu XL	Int J Syst Evol Microbiol	10.1099/ijs.0.000181	2015

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) .
#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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Frigidibacter mobilis (cai42, LMG 27406, CGMCC 1.12518)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Spore formation

Isolation, sampling and environmental information

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001620265

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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