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Identification of QTLs and a candidate gene affecting rice grain volume via high-density genetic mapping

文献类型： 外文期刊

作者： Sun, Zhiguang 1 ; An, Hongzhou 2 ; Qiu, Zeyu 3 ; Li, Jingfang 1 ; Li, Jian 1 ; Yang, Bo 1 ; Liu, Jinbo 1 ; Chen, Tingmu 1 ; Zhang, Yuqin 1 ; Lu, Baiguan 1 ; Liu, Yan 1 ; Wang, Baoxiang 1 ; Xu, Dayong 1 ;

作者机构： 1.Inst Rice Res, Lianyungang Acad Agr Sci, Lianyungang, Peoples R China

2.Hebei Acad Agr & Forestry Sci, Inst Cereal & Oil Crops, Key Lab Crop Genet & Breeding Hebei Prov, Shijiazhuang, Peoples R China

3.Jiangsu Acad Agr Sci, Inst Crop Germplasm & Biotechnol, Prov Key Lab Agrobiol, Nanjing, Peoples R China

关键词： weedy rice; grain volume; QTL; high-density genetic map; ethylene receptor

期刊名称：FRONTIERS IN PLANT SCIENCE （ 影响因子：4.8； 五年影响因子：5.7 ）

ISSN： 1664-462X

年卷期： 2025 年 16 卷

页码：

收录情况： SCI

摘要： Introduction Grain volume is a key agronomic trait of rice. It is coordinately determined by grain length, width, thickness, and roundness, which influences the rice yield and quality, yet the molecular mechanism is still not fully understood.Methods In this study, a mapping population of Ludao (weedy rice) and Guangbaixiangzhan (GBXZ) was developed in Lianyungang, Jiangsu province, China, and was employed to construct a high-density genetic map by use of the RICE 1 K mGPS chip in 2021. The mapping of QTLs was carried out with IciMapping software using the inclusive composite interval mapping (ICIM) method.Results and discussion A total of eight QTLs for grain volume, explained 4.22-19.75% of the total phenotypic variation, were detected with LOD scores ranging from 3.33 to 13.25. Among these loci, five are known genes or loci related to grain size, and three loci, qGV4-2, qGV7-1, and qGV7-2, were newly identified. The major QTL, qGV7-2, explained the highest phenotypic variation, was validated using NIL pairs. By combining gene functional annotation, gene expression analysis and sequence comparison within the mapping interval of qGV7-2, a candidate gene (LOC_Os07g15540), encoding an ethylene receptor, OsETR4, was identified. Further haplotype-phenotype analysis revealed this gene to be significantly associated with grain length, width, and thousand-grain weight. Thus we identified LOC_Os07g15540 as the most likely candidate gene. Taken together, our findings provide a basis for functional research on qGV7-2, and broaden our understanding of role of genetic factors in regulating grain volume, thus providing an important resource for yield improvement in rice.

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