Analysis of genetic architecture and favorable allele usage of agronomic traits in a large collection of Chinese rice accessions |
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Authors: | Li Xiuxiu Chen Zhuo Zhang Guomin Lu Hongwei Qin Peng Qi Ming Yu Ying Jiao Bingke Zhao Xianfeng Gao Qiang Wang Hao Wu Yunyu Ma Juntao Zhang Liyan Wang Yongli Deng Lingwei Yao Shanguo Cheng Zhukuang Yu Diqiu Zhu Lihuang Xue Yongbiao Chu Chengcai Li Aihong Li Shigui Liang Chengzhi |
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Institution: | 1.State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, 100101, China ;2.University of Chinese Academy of Sciences, Beijing, 100049, China ;3.Biotechnology Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, 150086, China ;4.Rice Research Institute, State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, China ;5.Lixiahe Agricultural Research Institute of Jiangsu Province, Yangzhou, 225009, China ;6.Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing, 210095, China ;7.State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming, 650091, China ; |
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Abstract: | Genotyping and phenotyping large natural populations provide opportunities for population genomic analysis and genome-wide association studies (GWAS). Several rice populations have been re-sequenced in the past decade; however, many major Chinese rice cultivars were not included in these studies. Here, we report large-scale genomic and phenotypic datasets for a collection mainly comprised of 1,275 rice accessions of widely planted cultivars and parental hybrid rice lines from China. The population was divided into three indica/Xian and three japonica/Geng phylogenetic subgroups that correlate strongly with their geographic or breeding origins. We acquired a total of 146 phenotypic datasets for 29 agronomic traits under multi-environments for different subpopulations. With GWAS, we identified a total of 143 significant association loci, including three newly identified candidate genes or alleles that control heading date or amylose content. Our genotypic analysis of agronomically important genes in the population revealed that many favorable alleles are underused in elite accessions, suggesting they may be used to provide improvements in future breeding efforts. Our study provides useful resources for rice genetics research and breeding. |
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