Bradyrhizobium huanghuaihaiense (LMG 26136, CGMCC 1.10948, HAMBI 3180)

Name: Bradyrhizobium huanghuaihaiense (LMG 26136, CGMCC 1.10948, HAMBI 3180)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 133742

Type strain

Culture col. no. LMG 26136 CGMCC 1.10948 HAMBI 3180 CCBAU 23303

NCBI tax ID(s) 990078

Special Collections Literature strains

Links

Bradyrhizobium huanghuaihaiense LMG 26136 is an aerobe, Gram-negative, rod-shaped bacterium that was isolated from plant associated.

Gram-negative rod-shaped aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 36579

LMG 26136,CGMCC 1.10948,HAMBI 3180

@ref 20215

Last LPSN update 2026-05-29 08:38:10

Domain Bacteria

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Hyphomicrobiales

Family Nitrobacteraceae

Genus Bradyrhizobium

Species Bradyrhizobium huanghuaihaiense

Full scientific name Bradyrhizobium huanghuaihaiense Zhang et al. 2012

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
30372	negative	1.35 µm	0.46 µm	rod-shaped
125439	negative				94.468
125438	negative				96.469

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
30372	positive	growth	10-28
30372	positive	optimum	28

Culture pH

@ref	Ability	Type	PH	PH range
30372	positive	optimum	7
30372	positive	growth	06-09	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
30372	aerobe
125439	obligate aerobe	98.26

Spore formation

@ref	Spore formation	Confidence
30372
125439		99.235

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
30372	22599 ChEBI	arabinose	+	carbon source
30372	28757 ChEBI	fructose	+	carbon source
30372	28260 ChEBI	galactose	+	carbon source
30372	37684 ChEBI	mannose	+	carbon source
30372	28053 ChEBI	melibiose	+	carbon source
30372	26271 ChEBI	proline	+	carbon source
30372	33942 ChEBI	ribose	+	carbon source
30372	17992 ChEBI	sucrose	+	carbon source
30372	18222 ChEBI	xylose	+	carbon source

Enzymes

@ref	Value	Activity	Ec
30372	catalase	+	1.11.1.6
30372	cytochrome oxidase	+	1.9.3.1

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2
#Host	#Plants

Isolation

30372

Sample typeplant associated

Taxonmaps

69479

Global distribution of 16S sequence HQ231463 (>99% sequence identity) for Bradyrhizobium from Microbeatlas

Aquatic Samples	688
Soil Samples	1424
Animal Samples	2839
Plant Samples	203
Total Samples	5154

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM783063v1 assembly for Bradyrhizobium huanghuaihaiense CGMCC 1.10948	scaffold	GCA_007830635	990078.3	2596583587	990078	57.36

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
30372	Bradyrhizobium huanghuaihaiense strain CCBAU 23303 16S ribosomal RNA gene, partial sequence	HQ231463	1348		990078
124043	Bradyrhizobium huanghuaihaiense strain CCBAU 23303 16S-23S ribosomal RNA intergenic spacer, partial sequence.	HQ428043	816		990078

GC content

30372

GC-content (mol%)61.5

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM783063v1 assembly for Bradyrhizobium huanghuaihaiense CGMCC 1.10948
NCBI: GCA_007830635

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.26	no
125439	motility	BacteriaNetⓘ	yes	61.99	no
125439	gram_stain	BacteriaNetⓘ	negative	94.47	no
125439	spore_formation	BacteriaNetⓘ	no	99.24	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bradyrhizobium huanghuaihaiense CGMCC 1.10948
NCBI: GCA_007830635.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.47	yes
125438	anaerobic	anaerobicⓘ	no	93.18	yes
125438	aerobic	aerobicⓘ	yes	83.59	no
125438	spore-forming	spore-formingⓘ	no	81.65	yes
125438	thermophilic	thermophileⓘ	no	97.00	no
125438	flagellated	motile2+ⓘ	yes	78.44	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Genetic divergence of bradyrhizobium strains nodulating soybeans as revealed by multilocus sequence analysis of genes inside and outside the symbiosis island.	Zhang XX, Guo HJ, Wang R, Sui XH, Zhang YM, Wang ET, Tian CF, Chen WX.	Appl Environ Microbiol	10.1128/aem.00044-14	2014
Enzymology	Genomic identification and characterization of the elite strains Bradyrhizobium yuanmingense BR 3267 and Bradyrhizobium pachyrhizi BR 3262 recommended for cowpea inoculation in Brazil.	Leite J, Passos SR, Simoes-Araujo JL, Rumjanek NG, Xavier GR, Zilli JE.	Braz J Microbiol	10.1016/j.bjm.2017.01.007	2018
	Bacteria related to Bradyrhizobium yuanmingense from Ghana are effective groundnut micro-symbionts.	Osei O, Abaidoo RC, Ahiabor BDK, Boddey RM, Rouws LFM.	Appl Soil Ecol	10.1016/j.apsoil.2018.03.003	2018
Phylogeny	Phylogenetically diverse group of native bacterial symbionts isolated from root nodules of groundnut (Arachis hypogaea L.) in South Africa.	Jaiswal SK, Msimbira LA, Dakora FD.	Syst Appl Microbiol	10.1016/j.syapm.2017.02.002	2017
Phylogeny	Insights into the Phylogeny, Nodule Function, and Biogeographic Distribution of Microsymbionts Nodulating the Orphan Kersting's Groundnut [Macrotyloma geocarpum (Harms) Marechal & Baudet] in African Soils.	Mohammed M, Jaiswal SK, Dakora FD.	Appl Environ Microbiol	10.1128/aem.00342-19	2019
	Abundance and diversity of soybean-nodulating rhizobia in black soil are impacted by land use and crop management.	Yan J, Han XZ, Ji ZJ, Li Y, Wang ET, Xie ZH, Chen WF.	Appl Environ Microbiol	10.1128/aem.01135-14	2014
Metabolism	A distinct pathway for tetrahymanol synthesis in bacteria.	Banta AB, Wei JH, Welander PV.	Proc Natl Acad Sci U S A	10.1073/pnas.1511482112	2015
	Towards inoculant development for Bambara groundnut (Vigna subterranean (L.) Verdc) pulse crop production in Namibia.	Sarkar A, Fwanyanga FM, Horn LN, Welzel S, Diederichs M, Kerk LJ, Zimmermann M, Reinhold-Hurek B.	Front Plant Sci	10.3389/fpls.2023.1270356	2023
Phylogeny	Bradyrhizobium arachidis sp. nov., isolated from effective nodules of Arachis hypogaea grown in China.	Wang R, Chang YL, Zheng WT, Zhang D, Zhang XX, Sui XH, Wang ET, Hu JQ, Zhang LY, Chen WX.	Syst Appl Microbiol	10.1016/j.syapm.2012.10.009	2013
Phylogeny	Bradyrhizobium huanghuaihaiense sp. nov., an effective symbiotic bacterium isolated from soybean (Glycine max L.) nodules.	Zhang YM, Li Y, Chen WF, Wang ET, Sui XH, Li QQ, Zhang YZ, Zhou YG, Chen WX	Int J Syst Evol Microbiol	10.1099/ijs.0.034546-0	2011
Phylogeny	Bradyrhizobium manausense sp. nov., isolated from effective nodules of Vigna unguiculata grown in Brazilian Amazonian rainforest soils.	Silva FV, De Meyer SE, Simoes-Araujo JL, Barbe TDC, Xavier GR, O'Hara G, Ardley JK, Rumjanek NG, Willems A, Zilli JE	Int J Syst Evol Microbiol	10.1099/ijs.0.061259-0	2014

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 )
#26712	IJSEM 1951 2012 ( DOI 10.1099/ijs.0.034546-0 , PubMed 22003042 )
#30372	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #26712
#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 huanghuaihaiense (LMG 26136, CGMCC 1.10948, HAMBI 3180)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Metabolite utilization

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_007830635

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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