Massilia soli (KACC 22114, R798, JCM 34601)

Name: Massilia soli (KACC 22114, R798, JCM 34601)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 168201

Type strain

Strain Designation R798

Culture col. no. KACC 22114 R798 JCM 34601

NCBI tax ID(s) 2792854

Special Collections JCM

Links

Massilia soli R798 is a prokaryote of the family Oxalobacteraceae.

genome sequence 16S sequence

Name and taxonomic classification

SI-ID 25613

JCM 34601

@ref 20215

Last LPSN update 2025-12-16 10:10:17

Domain Pseudomonadati

Phylum Pseudomonadota

Class Betaproteobacteria

Order Burkholderiales

Family Oxalobacteraceae

Genus Massilia

Species Massilia soli

Full scientific name Massilia soli Baek et al. 2022

Synonyms (1)

Mokoshia soli

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	99
125439	negative	99.4

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	97.2

Spore formation

@ref	Spore formation	Confidence
125439		99

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1680983v2 assembly for Massilia soli R798	contig	GCA_016809835	2792854.4	8068491518	2792854	64.6

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Massilia soli strain R798 16S ribosomal RNA gene, partial sequence	MT950109	1486		2792854

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Massilia soli R798
NCBI: GCA_016809835

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.00	no
125439	motility	BacteriaNetⓘ	yes	82.00	no
125439	gram_stain	BacteriaNetⓘ	negative	99.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.20	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Massilia soli R798
NCBI: GCA_016809835.2

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.00	no
125438	anaerobic	anaerobicⓘ	no	93.98	no
125438	aerobic	aerobicⓘ	yes	83.03	no
125438	spore-forming	spore-formingⓘ	no	80.83	no
125438	thermophilic	thermophileⓘ	no	97.35	no
125438	flagellated	motile2+ⓘ	yes	84.49	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Massilia soli sp. nov., isolated from soil.	Baek JH, Baek W, Ruan W, Jung HS, Lee SC, Jeon CO	Int J Syst Evol Microbiol	10.1099/ijsem.0.005227	2022

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) .
#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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Massilia soli (KACC 22114, R798, JCM 34601)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_016809835

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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