CUBIC: an atlas of genetic architecture promises directed maize improvement,Genome Biology

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CUBIC: an atlas of genetic architecture promises directed maize improvement
Genome Biology ( IF 12.3 ) Pub Date : 2020-01-24 , DOI: 10.1186/s13059-020-1930-x
Hai-Jun Liu ₁ , Xiaqing Wang _{1,

2} , Yingjie Xiao ₁ , Jingyun Luo ₁ , Feng Qiao _{1,

3} , Wenyu Yang _{1,

4} , Ruyang Zhang ₂ , Yijiang Meng ₅ , Jiamin Sun ₁ , Shijuan Yan ₆ , Yong Peng ₁ , Luyao Niu ₁ , Liumei Jian ₁ , Wei Song ₂ , Jiali Yan ₁ , Chunhui Li ₂ , Yanxin Zhao ₂ , Ya Liu ₂ , Marilyn L Warburton ₇ , Jiuran Zhao ₂ , Jianbing Yan ₁

Affiliation

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.

更新日期：2020-01-24

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