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| Genome-wide Association Analysis of Rice (Oryza sativa) Grain Shape |
| GONG Cheng-Yun, ZHU Yu-Jing, GUI Jin-Xin, SHI Ju-Bin, LUO Xin-Yang, ZENG Zhe, ZHANG Hai-Qing*, HE Ji-Wai* |
| College of Agronomy, Hunan Agricultural University, Changsha 410128, China |
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Abstract Rice (Oryza sativa) grain shape is a critical factor in determining the yield, appearance, nutritional quality, and commercial value of rice. Grain shape is primarily determined by genetic factors. It is crucial to enhance the quality and yield of rice by exploring and utilizing valuable gene resources related to rice grain shape, as well as analyzing the molecular mechanisms that regulate it. In this study, 410 3K rice core germplasms were used as research materials. After seed maturation, measurements were taken for grain length, grain width, and grain thickness. Genome-wide association analysis (GWAS) was conducted using the genotypes of the germplasm. Candidate genes and haplotypes were analyzed to screen for potential genes associated with these QTL. A total of 5 QTL related to grain shape were detected by GWAS, which were distributed on chromosomes 1, 3, 5, 7, and 8 of rice. The QTL controlling grain length were qGL3, qGL7, and qGL8. Among these, qGL3 was co-located with GS3, qGL7 was co-located with GL7, and qGL8 was a newly discovered QTL locus that controls grain length. The QTL controlling grain width was qGW5, which was co-located with GW5. The QTL controlling grain thickness was qGT1, which was co-located with d61. The candidate gene for qGL8 was Os08g0421800. The analysis involved aggregating different haplotypes of grain length QTL in germplasm. It was found that the favorable haplotypes of the candidate genes qGL3, qGL7, and qGL8 were present in 8 germplasms, including 'B073' and 'B081'. Additionally, the grains of these 8 germplasms were slender. This study provides new germplasm resources and theoretical support for enhancing the genetic improvement of rice grain shape.
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Received: 05 December 2023
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Corresponding Authors:
*hunanhongli@aliyun.com;hejiwai@hunau.edu.cn
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