Rhizobium rhizophilum (DSM 103161, CGMCC 1.15691, 7209-2)

Name: Rhizobium rhizophilum (DSM 103161, CGMCC 1.15691, 7209-2)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 160173

Type strain

Strain Designation 7209-2

Culture col. no. DSM 103161 CGMCC 1.15691 7209-2

NCBI tax ID(s) 1850373

Special Collections DSMZ

Links

Rhizobium rhizophilum 7209-2 is a mesophilic prokaryote that was isolated from rhizosphere soil of cole.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 400385

DSM 103161

@ref 20215

Last LPSN update 2025-12-16 10:08:26

Domain Pseudomonadati

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Hyphomicrobiales

Family Rhizobiaceae

Genus Rhizobium

Species Rhizobium rhizophilum

Full scientific name Rhizobium rhizophilum Gao et al. 2020

Synonyms (1)

Peteryoungia rhizophila

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	97.2
125438	negative	97.5

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
67077	NUTRIENT AGAR (DSMZ Medium 1)		Medium recipe at MediaDive	Name: NUTRIENT AGAR (DSMZ Medium 1) Composition: Agar 15.0 g/l Peptone 5.0 g/l Meat extract 3.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
67077	positive	growth	30	mesophilic

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		97.7

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
67077	rhizosphere soil of cole	Inner Mongulia	China	CHN	Asia

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM491214v1 assembly for Rhizobium rhizophilum 7209-2	contig	GCA_004912145	1850373.3	8109316720	1850373	73.95

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67077	Rhizobium rhizophilum strain 7209-2 16S ribosomal RNA gene, partial sequence	KX017286	1366		1850373

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Rhizobium rhizophilum 7209-2
NCBI: GCA_004912145

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	97.70	no
125439	motility	BacteriaNetⓘ	yes	61.80	no
125439	gram_stain	BacteriaNetⓘ	negative	97.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	86.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Rhizobium rhizophilum 7209-2
NCBI: GCA_004912145.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.50	no
125438	anaerobic	anaerobicⓘ	no	95.23	no
125438	aerobic	aerobicⓘ	yes	83.69	no
125438	spore-forming	spore-formingⓘ	no	87.72	no
125438	thermophilic	thermophileⓘ	no	99.25	no
125438	flagellated	motile2+ⓘ	yes	76.69	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Validation list no. 225: 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.0.006863	2025
Phylogeny	Rhizobium rhizophilum sp. nov., an indole acetic acid-producing bacterium isolated from rape (Brassica napus L.) rhizosphere soil.	Gao JL, Wang LW, Xue J, Tong S, Peng G, Sun YC, Zhang X, Sun JG	Int J Syst Evol Microbiol	10.1099/ijsem.0.004374	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 )
#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) .
#67077	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 103161
#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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Rhizobium rhizophilum (DSM 103161, CGMCC 1.15691, 7209-2)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Spore formation

Isolation, sampling and environmental information

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_004912145

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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