| Literature DB >> 26358652 |
Weibo Xie1, Gongwei Wang1, Meng Yuan1, Wen Yao1, Kai Lyu1, Hu Zhao1, Meng Yang1, Pingbo Li1, Xing Zhang1, Jing Yuan1, Quanxiu Wang1, Fang Liu1, Huaxia Dong1, Lejing Zhang1, Xinglei Li1, Xiangzhou Meng1, Wan Zhang1, Lizhong Xiong1, Yuqing He1, Shiping Wang1, Sibin Yu1, Caiguo Xu1, Jie Luo1, Xianghua Li1, Jinghua Xiao1, Xingming Lian2, Qifa Zhang2.
Abstract
Intensive rice breeding over the past 50 y has dramatically increased productivity especially in the indica subspecies, but our knowledge of the genomic changes associated with such improvement has been limited. In this study, we analyzed low-coverage sequencing data of 1,479 rice accessions from 73 countries, including landraces and modern cultivars. We identified two major subpopulations, indica I (IndI) and indica II (IndII), in the indica subspecies, which corresponded to the two putative heterotic groups resulting from independent breeding efforts. We detected 200 regions spanning 7.8% of the rice genome that had been differentially selected between IndI and IndII, and thus referred to as breeding signatures. These regions included large numbers of known functional genes and loci associated with important agronomic traits revealed by genome-wide association studies. Grain yield was positively correlated with the number of breeding signatures in a variety, suggesting that the number of breeding signatures in a line may be useful for predicting agronomic potential and the selected loci may provide targets for rice improvement.Entities:
Keywords: GWAS; breeding signature; resequencing; rice improvement
Mesh:
Substances:
Year: 2015 PMID: 26358652 PMCID: PMC4593105 DOI: 10.1073/pnas.1515919112
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205