文献类型： 外文期刊
作者： Wang, Baobao 1 ; Lin, Zechuan 2 ; Li, Xin 1 ; Zhao, Yongping 1 ; Zhao, Binbin 1 ; Wu, Guangxia 1 ; Ma, Xiaojing 1 ; Wang, 1 ;
作者机构： 1.Chinese Acad Agr Sci, Biotechnol Res Inst, Beijing, Peoples R China
2.Peking Univ, State Key Lab Prot & Plant Gene Res, Peking Tsinghua Ctr Life Sci, Sch Adv Agr Sci,Coll Life Sci, Beijing, Peoples R China
3.Shandong Agr Univ, State Key Lab Crop Biol, Tai An, Shandong, Peoples R China
4.Jilin Acad Agr Sci, Maize Res Inst, Gongzhuling, Peoples R China
5.South China Agr Univ, Coll Life Sci, State Key Lab Conservat & Utilizat Subtrop Agrobi, Guangzhou, Peoples R China
6.Shandong Acad Agr Sci, Maize Res Inst, Jinan, Peoples R China
7.Chinese Acad Agr Sci, Inst Crop Sci, Beijing, Peoples R China
8.Henan Agr Univ, Synerget Innovat Ctr Henan Grain Crops, Zhengzhou, Peoples R China
9.Henan Agr Univ, Natl Key Lab Wheat & Maize Crop Sci, Zhengzhou, Peoples R China
10.China Agr Univ, State Key Lab Agrobiotechnol & Natl Maize Improve, Dept Plant Genet & Breeding, Beijing, Peoples R China
11.Iowa State Univ, Dept Ecol Evolut & Organismal Biol, Ames, IA USA
12.Univ Calif Davis, Ctr Populat Biol, Dept Evolut & Ecol, Davis, CA 95616 USA
13.Univ Calif Davis, Genome Ctr, Davis, CA 95616 USA
14.Guangdong Lab Lingnan Modern Agr, Guangzhou, Peoples R China
期刊名称：NATURE GENETICS （ 影响因子：38.33； 五年影响因子：36.431 ）
ISSN： 1061-4036
年卷期： 2020 年 52 卷 6 期
页码：
收录情况： SCI
摘要： Since the development of single-hybrid maize breeding programs in the first half of the twentieth century(1), maize yields have increased over sevenfold, and much of that increase can be attributed to tolerance of increased planting density(2-4). To explore the genomic basis underlying the dramatic yield increase in maize, we conducted a comprehensive analysis of the genomic and phenotypic changes associated with modern maize breeding through chronological sampling of 350 elite inbred lines representing multiple eras of germplasm from both China and the United States. We document several convergent phenotypic changes in both countries. Using genome-wide association and selection scan methods, we identify 160 loci underlying adaptive agronomic phenotypes and more than 1,800 genomic regions representing the targets of selection during modern breeding. This work demonstrates the use of the breeding-era approach for identifying breeding signatures and lays the foundation for future genomics-enabled maize breeding. Genome-wide association analysis for morphological traits across 350 elite maize inbred lines in Chinese and US germplasm identifies loci and genomic regions representing the targets of selection during modern maize breeding.
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