High-resolution quantitative trait locus mapping for rice grain quality traits using genotyping by sequencing

Front Plant Sci. 2023 Jan 12:13:1050882. doi: 10.3389/fpls.2022.1050882. eCollection 2022.

Abstract

Rice is a major food crop that sustains approximately half of the world population. Recent worldwide improvements in the standard of living have increased the demand for high-quality rice. Accurate identification of quantitative trait loci (QTLs) for rice grain quality traits will facilitate rice quality breeding and improvement. In the present study, we performed high-resolution QTL mapping for rice grain quality traits using a genotyping-by-sequencing approach. An F2 population derived from a cross between an elite japonica variety, Koshihikari, and an indica variety, Nona Bokra, was used to construct a high-density genetic map. A total of 3,830 single nucleotide polymorphism markers were mapped to 12 linkage groups spanning a total length of 2,456.4 cM, with an average genetic distance of 0.82 cM. Seven grain quality traits-the percentage of whole grain, percentage of head rice, percentage of area of head rice, transparency, percentage of chalky rice, percentage of chalkiness area, and degree of chalkiness-of the F2 population were investigated. In total, 15 QTLs with logarithm of the odds (LOD) scores >4 were identified, which mapped to chromosomes 6, 7, and 9. These loci include four QTLs for transparency, four for percentage of chalky rice, four for percentage of chalkiness area, and three for degree of chalkiness, accounting for 0.01%-61.64% of the total phenotypic variation. Of these QTLs, only one overlapped with previously reported QTLs, and the others were novel. By comparing the major QTL regions in the rice genome, several key candidate genes reported to play crucial roles in grain quality traits were identified. These findings will expedite the fine mapping of these QTLs and QTL pyramiding, which will facilitate the genetic improvement of rice grain quality.

Keywords: genotyping by sequencing; grain quality; high-density genetic map; quantitative trait locus; rice.

Grants and funding

This work was supported by grants from Hainan Yazhou Bay Seed Lab (B21HJ8105), The Independent Scientific Research Project funds of the Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding (PLR202101), Jiangsu Province Government (JBGS[2021]001), National Natural Science Foundation of China (31771754 and 31971862), Guangdong Province Key Research and Development Program (2018B020202012), China Postdoctoral Science Foundation (2021M692723), and the Priority Academic Program Development of Jiangsu Higher Education Institutions.