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ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2025

Large-scale identification and association analysis of wheat grain weight genes using rice orthologs.

Wensha Zhao, Shusong Zheng, Aoyan Zhang, Meng Yuan, Pengbo Song, Kefeng Song, Yueyue Li, Yuanhang Xing, Huiling Zhao, Jianqing Niu and 4 more

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2025. 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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5 · Who and what money

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14 authors.

Wensha Zhao *College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Shusong Zheng *Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
Aoyan ZhangCollege of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Meng YuanCollege of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Pengbo SongCollege of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Kefeng SongCollege of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Yueyue LiCollege of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Yuanhang XingCollege of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Huiling ZhaoCollege of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Jianqing NiuYazhouwan National Laboratory, Sanya, 572024, Hainan, China.
Jianhui WuCollege of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Hong-Qing LingYazhouwan National Laboratory, Sanya, 572024, Hainan, China. hqling@genetics.ac.cn.
Daojie SunCollege of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China. sunwheat@nwsuaf.edu.cn.
Shengwei MaYazhouwan National Laboratory, Sanya, 572024, Hainan, China. mashengwei@yzwlab.cn.ORCID http://orcid.org/0000-0001-6196-811X

Funding

Innovative Research Group Project of the National Natural Science Foundation of China 32201745National Defense Science and Technology Innovation Fund of the Chinese Academy of Sciences 2023ZD040230306National Key Laboratory Foundation of China 2310JM01Natural Science Basic Research Program of Shaanxi Province 2019JCW-18Natural Science Basic Research Program of Shaanxi Province 2020JCW-16State Key Laboratory of Wheat and Maize Crop Science 2022KF04
6 · The paper itself

Abstract

key messageThe study identifies 314 wheat orthologs of rice grain weight-related genes, with multi-environment association analysis of 490 accessions uncovering 146 genes significantly linked to grain weight, offering potential targets for yield improvement. Grain weight is a key determinant of wheat yield. Dissection of more grain weight-related genes is crucial for improvement of wheat yield. Using homologous cloning method, a total of 104 rice grain weight-related genes was collected from published studies and their corresponding 314 orthologs were identified in wheat. Spatiotemporal expression analysis reveals that grain weight genes exhibit diverse expression profiles, with few showing grain-specific expression patterns. Approximately 36,000 variants in these grain weight-related genes were identified in a large natural wheat population. Candidate gene association analysis, using 490 common wheat accessions across five environments, reveals that 146 genes of them are significantly associated with grain weight. As a result of breeding practices, favorable alleles were significantly accumulated in modern wheat cultivars. These findings contribute to a better understanding of the genetic architecture of grain development and weight, offering potential targets for future wheat yield improvement.

Indexed as

Edible GrainGenes, PlantOryzaSeedsTriticumAllelesChromosome MappingGene Expression Regulation, PlantGenetic Association StudiesPhenotypePlant BreedingQuantitative Trait Loci

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