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

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, <i>qGV4-2</i>, <i>qGV7-1</i>, and <i>qGV7-2</i>, were newly identified. The major QTL, <i>qGV7-2</i>, 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 <i>qGV7-2</i>, a candidate gene (<i>LOC_Os07g15540</i>), 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 <i>LOC_Os07g15540</i> as the most likely candidate gene. Taken together, our findings provide a basis for functional research on <i>qGV7-2</i>, 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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Publication Details

Journal
Frontiers in Plant Science
Published
2025-03-31
DOI
https://doi.org/10.3389/fpls.2025.1579589
Citations
1
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
1.82
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article

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

Jian Li, Chen Tingmu, Yan Liu, Hongzhou An et al.
1 citations
Frontiers in Plant Science
Genetic Mapping and Diversity in Plants and Animals
1.82
article

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

Jian Li, Chen Tingmu, Yan Liu, Hongzhou An, Yu‐Qin Zhang, Jinbo Liu, Zhiguang Sun, Dayong Xu, Jingfang Li, Bo Yang, Zeyu Qiu, Baiguan Lu, Baoxiang Wang
article en
1 citations

Abstract

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, <i>qGV4-2</i>, <i>qGV7-1</i>, and <i>qGV7-2</i>, were newly identified. The major QTL, <i>qGV7-2</i>, 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 <i>qGV7-2</i>, a candidate gene (<i>LOC_Os07g15540</i>), 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 <i>LOC_Os07g15540</i> as the most likely candidate gene. Taken together, our findings provide a basis for functional research on <i>qGV7-2</i>, and broaden our understanding of role of genetic factors in regulating grain volume, thus providing an important resource for yield improvement in rice.

Frontiers in Plant ScienceVol. 16
Jiangsu Academy of Agricultural Sciences (CN), Liaoning Academy of Agricultural Sciences (CN), Hebei Academy of Agriculture and Forestry Sciences (CN)
Openalex Percentile: Top 17%
Genetic Mapping and Diversity in Plants and Animals
1.82
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Identification of QTLs and a candidate gene affecting rice grain volume via high-density genetic mapping — Jian Li, Chen Tingmu, et al. · Frontiers in Plant Science (2025) | TGRS Research Map | TGRS