Bradyrhizobium guangdongense (CGMCC 1.15034, CCBAU 51649, LMG 28620)

Name: Bradyrhizobium guangdongense (CGMCC 1.15034, CCBAU 51649, LMG 28620)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 169137

Type strain

Culture col. no. CGMCC 1.15034 CCBAU 51649 LMG 28620

NCBI tax ID(s) 1325090

Links

Bradyrhizobium guangdongense CGMCC 1.15034 is a bacterium of the family Nitrobacteraceae.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 396501

LMG 28620,CGMCC 1.15034

@ref 20215

Last LPSN update 2026-05-29 08:46:32

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Hyphomicrobiales

Family Nitrobacteraceae

Genus Bradyrhizobium

Species Bradyrhizobium guangdongense

Full scientific name Bradyrhizobium guangdongense Li et al. 2015

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	91.789
125438	negative	97.285

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	98.426

Spore formation

@ref	Spore formation	Confidence
125439		98.626

Isolation, sampling and environmental information

Taxonmaps

69479

Global distribution of 16S sequence MT760081 (>99% sequence identity) for Bradyrhizobium from Microbeatlas

Aquatic Samples	2827
Soil Samples	5001
Animal Samples	4320
Plant Samples	739
Total Samples	12887

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	ASM411497v1 assembly for Bradyrhizobium guangdongense CCBAU 51649	complete	GCA_004114975	1325090.8	2847948219	1325090	94.77
66792	ASM1464051v1 assembly for Bradyrhizobium guangdongense CGMCC 1.15034	scaffold	GCA_014640515	1325090.14	8113119232	1325090	53.07

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Bradyrhizobium guangdongense strain CGMCC 1.15034 16S ribosomal RNA gene, partial sequence	MT760081	1304		1325090
124043	Bradyrhizobium guangdongense strain CCBAU 51649 16S ribosomal RNA gene, partial sequence.	KC508867	1262		1325090

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM411497v1 assembly for Bradyrhizobium guangdongense CCBAU 51649
BV-BRC: 1325090.8

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.63	no
125439	motility	BacteriaNetⓘ	yes	53.29	no
125439	gram_stain	BacteriaNetⓘ	negative	91.79	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.43	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bradyrhizobium guangdongense CCBAU 51649
NCBI: GCA_004114975.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.29	no
125438	anaerobic	anaerobicⓘ	no	91.81	no
125438	aerobic	aerobicⓘ	yes	84.78	no
125438	spore-forming	spore-formingⓘ	no	82.33	no
125438	thermophilic	thermophileⓘ	no	97.50	no
125438	flagellated	motile2+ⓘ	yes	76.28	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Arachis hypogaea L. from Acid Soils of Nanyang (China) Is Frequently Associated with Bradyrhizobium guangdongense and Occasionally with Bradyrhizobium ottawaense or Three Bradyrhizobium Genospecies.	Zhang J, Peng S, Li S, Song J, Brunel B, Wang E, James EK, Chen W, Andrews M.	Microb Ecol	10.1007/s00248-021-01852-2	2022
	Diversity of rhizobia, symbiotic effectiveness, and potential of inoculation in Acacia mearnsii seedling production.	de Sao Jose JFB, Hernandes MAS, Volpiano CG, Lisboa BB, Beneduzi A, Bayer C, Simon AA, de Oliveira J, Passaglia LMP, Vargas LK.	Braz J Microbiol	10.1007/s42770-022-00867-2	2023
	Correlation of distribution characteristics and dynamic changes of gut microbiota with the efficacy of immunotherapy in EGFR-mutated non-small cell lung cancer.	Luo WC, Mei SQ, Huang ZJ, Chen ZH, Zhang YC, Yang MY, Liu JQ, Xu JY, Yang XR, Zhong RW, Tang LB, Yin LX, Deng Y, Peng YL, Lu C, Chen BL, Ke DX, Tu HY, Yang JJ, Xu CR, Wu YL, Zhou Q.	J Transl Med	10.1186/s12967-024-05135-5	2024
Phylogeny	Identification and characterization of phages parasitic on bradyrhizobia nodulating groundnut (Arachis hypogaea L.) in South Africa.	Msimbira LA, Jaiswal SK, Dakora FD.	Appl Soil Ecol	10.1016/j.apsoil.2016.09.010	2016
	NopD of Bradyrhizobium sp. XS1150 Possesses SUMO Protease Activity.	Xiang QW, Bai J, Cai J, Huang QY, Wang Y, Liang Y, Zhong Z, Wagner C, Xie ZP, Staehelin C.	Front Microbiol	10.3389/fmicb.2020.00386	2020
	Phylogeny and Phylogeography of Rhizobial Symbionts Nodulating Legumes of the Tribe Genisteae.	Stepkowski T, Banasiewicz J, Granada CE, Andrews M, Passaglia LMP.	Genes (Basel)	10.3390/genes9030163	2018
Phylogeny	Bradyrhizobium monzae sp. nov. isolated from a root nodule of the introduced legume Crotalaria ochroleuca in Uruguay.	Morel Revetria MA, Sanjuan J, Berriel V, Velazquez E.	Int J Syst Evol Microbiol	10.1099/ijsem.0.006973	2025
Phylogeny	Bradyrhizobium guangdongense sp. nov. and Bradyrhizobium guangxiense sp. nov., isolated from effective nodules of peanut.	Li YH, Wang R, Zhang XX, Young JPW, Wang ET, Sui XH, Chen WX	Int J Syst Evol Microbiol	10.1099/ijsem.0.000629	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 .
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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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Bradyrhizobium guangdongense (CGMCC 1.15034, CCBAU 51649, LMG 28620)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_004114975

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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