| Literature DB >> 24343161 |
Junjie Fu1, Yanbing Cheng2, Jingjing Linghu3, Xiaohong Yang3, Lin Kang2, Zuxin Zhang4, Jie Zhang3, Cheng He3, Xuemei Du3, Zhiyu Peng2, Bo Wang3, Lihong Zhai4, Changmin Dai2, Jiabao Xu2, Weidong Wang3, Xiangru Li2, Jun Zheng1, Li Chen2, Longhai Luo2, Junjie Liu2, Xiaoju Qian2, Jianbing Yan4, Jun Wang2, Guoying Wang1.
Abstract
RNA sequencing can simultaneously identify exonic polymorphisms and quantitate gene expression. Here we report RNA sequencing of developing maize kernels from 368 inbred lines producing 25.8 billion reads and 3.6 million single-nucleotide polymorphisms. Both the MaizeSNP50 BeadChip and the Sequenom MassArray iPLEX platforms confirm a subset of high-quality SNPs. Of these SNPs, we have mapped 931,484 to gene regions with a mean density of 40.3 SNPs per gene. The genome-wide association study identifies 16,408 expression quantitative trait loci. A two-step approach defines 95.1% of the eQTLs to a 10-kb region, and 67.7% of them include a single gene. The establishment of relationships between eQTLs and their targets reveals a large-scale gene regulatory network, which include the regulation of 31 zein and 16 key kernel genes. These results contribute to our understanding of kernel development and to the improvement of maize yield and nutritional quality.Entities:
Year: 2013 PMID： 24343161 DOI： 10.1038/ncomms3832
Source DB: PubMed Journal: Nat Commun ISSN： 2041-1723 Impact factor: 14.919