Evidence map›Paper›PMID 41290074›Full record

ArticleJournal of advanced research2026

Deciphering the genetic basis of nodule number through integrative analysis of host genotype and endophytes.

Ruier Zeng, Peiqi Huang, Yunyi Guo, Xiang Zhang, Weicheng Yu, Qinghui Geng, Xi Li, Jiangtao Tan, Qingqing Pan, Yong Chen and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of advanced research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

12 authors.

Ruier ZengKey Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou 510642, China.
Peiqi HuangKey Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou 510642, China.
Yunyi GuoKey Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou 510642, China.
Xiang ZhangKey Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou 510642, China.
Weicheng YuKey Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou 510642, China.
Qinghui GengKey Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou 510642, China.
Xi LiKey Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou 510642, China.
Jiangtao TanKey Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou 510642, China.
Qingqing PanKey Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou 510642, China.
Yong ChenKey Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou 510642, China. Electronic address: chenyong@scau.edu.cn.
Tingting ChenKey Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou 510642, China. Electronic address: chentingting@scau.edu.cn.
Lei ZhangKey Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou 510642, China. Electronic address: zhanglei@scau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPeanut nodule number is determined by the host genotype and endophytes. However, the genetic mechanisms regulating nodule number and the abundance of endophytes significantly associated with nodule number remain unclear.

objectivesThis study aims to elucidate the genetic basis of nodule number through integrated analysis of host genotype and endophytes.

methodsGenome-wide association studies (GWAS) were conducted to identify genes regulating nodule number and the abundance of endophytes significantly correlated with nodulation. After verifying the functions of key genes regulating nodule number and the microsymbiont Bradyrhizobium abundance, the mechanism underlying differences in the abundance of Bradyrhizobium in nodules of different haplotypes carrying functional genes was investigated through multi-omics analysis.

resultsThis research identified and validated a gene encoding the ATP synthase β subunit (AhatpB), which positively regulates both nodule number and the abundance of the microsymbiont Bradyrhizobium ASV1. Varieties carrying superior AhatpB haplotype exhibited higher pod yields. Compared with the nodules of varieties carrying the superior AhatpB haplotypes, the transcription and metabolism of oxidative phosphorylation were inhibited during nodule development in varieties carrying normal AhatpB haplotypes, leading to the accumulation of adenosine-5'-diphosphate, dihydrogen phosphate, and succinic acid, which were insufficient to maintain Bradyrhizobium growth and promote nodule development. Additionally, four endophytes (ASV7696, ASV4913, ASV1693, and ASV495) were found to be significantly positively correlated with nodule number, and most of the genes regulating their abundance encoded senescence-associated proteins (Arahy.4RGJ1T, Arahy.AA4TUV, Arahy.74ZQZH, Arahy.8PDB05). Furthermore, candidate genes (Arahy.FQH7NX, Arahy.2C7VNA, Arahy.T63ME6, Arahy.X7L1IJ, Arahy.JBBQ4L, and Arahy.IT8ZEZ) that regulate the abundance of endophytes significantly negatively correlated with nodule number were detected.

conclusionThis study identified key genes regulating peanut nodule number and the abundance of endophytes significantly associated with nodule number, providing potential targets for breeding nitrogen-efficient peanut varieties.

Indexed as

ArachisEndophytesRoot Nodules, PlantBradyrhizobiumGene Expression Regulation, PlantGenome-Wide Association StudyGenotypeHaplotypesPlant Root NodulationPolymorphism, Single NucleotideSymbiosis16S rRNAATP synthase β subunitGWASNodule numberPeanut

Identifiers

PMID41290074
PMCPMC13453881

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.