The genetic basis of grain protein content in rice by genome-wide association analysis

被引:0
作者
Pingli Chen
Guangming Lou
Yufu Wang
Junxiao Chen
Wengfeng Chen
Zhilan Fan
Qing Liu
Bingrui Sun
Xingxue Mao
Hang Yu
Liqun Jiang
Jing Zhang
Shuwei LV
Junlian Xing
Dajian Pan
Chen Li
Yuqing He
机构
[1] Huazhong Agricultural University,National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research
[2] Guangdong Academy of Agricultural Sciences,Rice Research Institute
[3] Guangdong Key Laboratory of New Technology in Rice Breeding,Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Food Crops Institute
[4] Guangdong Rice Engineering Laboratory,undefined
[5] Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-Construction By Ministry and Province),undefined
[6] Ministry of Agriculture and Rural Affairs,undefined
[7] Hubei Academy of Agricultural Sciences,undefined
来源
Molecular Breeding | 2023年 / 43卷
关键词
Grain protein content; GWAS; Grain quality; CRISPR/Cas9;
D O I
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中图分类号
学科分类号
摘要
The grain protein content (GPC) of rice is an important factor that determines its nutritional, cooking, and eating qualities. To date, although a number of genes affecting GPC have been identified in rice, most of them have been cloned using mutants, and only a few genes have been cloned in the natural population. In this study, 135 significant loci were detected in a genome-wide association study (GWAS), many of which could be repeatedly detected across different years and populations. Four minor quantitative trait loci affecting rice GPC at four significant association loci, qPC2.1, qPC7.1, qPC7.2, and qPC1.1, were further identified and validated in near-isogenic line F2 populations (NIL-F2), explaining 9.82, 43.4, 29.2, and 13.6% of the phenotypic variation, respectively. The role of the associated flo5 was evaluated with knockdown mutants, which exhibited both increased grain chalkiness rate and GPC. Three candidate genes in a significant association locus region were analyzed using haplotype and expression profiles. The findings of this study will help elucidate the genetic regulatory network of protein synthesis and accumulation in rice through cloning of GPC genes and provide new insights on dominant alleles for marker-assisted selection in the genetic improvement of rice grain quality.
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