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利用测序基因分型技术对水稻籽粒品质性状进行高分辨率数量性状基因座定位。

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

作者信息

Jin Su-Kui, Xu Li-Na, Yang Qing-Qing, Zhang Ming-Qiu, Wang Shui-Lian, Wang Ruo-An, Tao Tao, Hong Lian-Min, Guo Qian-Qian, Jia Shu-Wen, Song Tao, Leng Yu-Jia, Cai Xiu-Ling, Gao Ji-Ping

机构信息

JiangsuKey Laboratory of Crop Genomics and Molecular Breeding, College of Agriculture, Yangzhou University, Yangzhou, China.

Key Laboratory of Plant Functional Genomics of the Ministry of Education, College of Agriculture, Yangzhou University, Yangzhou, China.

出版信息

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 F population derived from a cross between an elite variety, Koshihikari, and an 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 F 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.

摘要

水稻是一种主要的粮食作物,养活了世界上约一半的人口。最近全球生活水平的提高增加了对优质水稻的需求。准确鉴定水稻籽粒品质性状的数量性状位点(QTL)将有助于水稻品质育种和改良。在本研究中,我们采用测序基因分型方法对水稻籽粒品质性状进行了高分辨率QTL定位。以优良品种越光和诺娜博克拉杂交得到的F群体构建了高密度遗传图谱。共将3830个单核苷酸多态性标记定位到12个连锁群上,总图距为2456.4 cM,平均遗传距离为0.82 cM。对F群体的七个籽粒品质性状进行了研究,包括整精米率、糙米率、糙米面积率、透明度、垩白米率、垩白面积率和垩白度。总共鉴定出15个对数优势(LOD)得分>4的QTL,它们定位在第6、7和9号染色体上。这些位点包括4个控制透明度的QTL、4个控制垩白米率的QTL、4个控制垩白面积率的QTL和3个控制垩白度的QTL,占总表型变异的0.01%-61.64%。在这些QTL中,只有一个与先前报道的QTL重叠,其他都是新发现的。通过比较水稻基因组中的主要QTL区域,鉴定出了几个据报道在籽粒品质性状中起关键作用的关键候选基因。这些发现将加快这些QTL的精细定位和QTL聚合,从而有助于水稻籽粒品质的遗传改良。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16db/9878556/38056a2aebc5/fpls-13-1050882-g001.jpg

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