您好，欢迎访问北京市农林科学院 机构知识库！
北京市农林科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

CUBIC: an atlas of genetic architecture promises directed maize improvement

文献类型： 外文期刊

作者： Liu, Hai-Jun 1 ; Wang, Xiaqing 1 ; Xiao, Yingjie 1 ; Luo, Jingyun 1 ; Qiao, Feng 1 ; Yang, Wenyu 1 ; Zhang, Ruyang 2 ; Me 1 ;

作者机构： 1.Huazhong Agr Univ, Natl Key Lab Crop Genet Improvement, Wuhan 430070, Peoples R China

2.Beijing Acad Agr & Forestry Sci, Beijing Key Lab Maize DNA Fingerprinting & Mol Br, Beijing 100097, Peoples R China

3.Sanming Acad Agr Sci, Sanming 365509, Fujian, Peoples R China

4.Huazhong Agr Univ, Coll Sci, Wuhan 430070, Peoples R China

5.Hebei Agr Univ, Coll Life Sci, Baoding 071001, Peoples R China

6.Guangdong Acad Agr Sci, Agrobiol Gene Res Ctr, Guangzhou 510640, Peoples R China

7.USDA ARS, Corn Host Plant Resistance Res Unit, Box 9555, Mississippi State, MS 39762 USA

关键词： Population development; Genome-wide association mapping; Cross-omics; Functional genomics; Zea mays

期刊名称：GENOME BIOLOGY （ 影响因子：13.583； 五年影响因子：17.433 ）

ISSN： 1474-760X

年卷期： 2020 年 21 卷 1 期

页码：

收录情况： SCI

摘要： Background Identifying genotype-phenotype links and causative genes from quantitative trait loci (QTL) is challenging for complex agronomically important traits. To accelerate maize gene discovery and breeding, we present the Complete-diallel design plus Unbalanced Breeding-like Inter-Cross (CUBIC) population, consisting of 1404 individuals created by extensively inter-crossing 24 widely used Chinese maize founders. Results Hundreds of QTL for 23 agronomic traits are uncovered with 14 million high-quality SNPs and a high-resolution identity-by-descent map, which account for an average of 75% of the heritability for each trait. We find epistasis contributes to phenotypic variance widely. Integrative cross-population analysis and cross-omics mapping allow effective and rapid discovery of underlying genes, validated here with a case study on leaf width. Conclusions Through the integration of experimental genetics and genomics, our study provides useful resources and gene mining strategies to explore complex quantitative traits.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：北京市农林科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台