Comparative population genomics of maize domestication and improvement

驯化 生物 渗入 基因组学 群体基因组学 进化生物学 基因组 基因 遗传学 选择性扫描 植物遗传学 选择(遗传算法) 优势(遗传学) 生物技术 等位基因 人工智能 单倍型 计算机科学
作者
Matthew B. Hufford,Xun Xu,Joost van Heerwaarden,Tanja Pyhäjärvi,Jer-Ming Chia,Reed A. Cartwright,Robert J. Elshire,Jeffrey C. Glaubitz,Kate Guill,Shawn M. Kaeppler,Jinsheng Lai,Peter L. Morrell,Laura M. Shannon,Chi Song,Nathan M. Springer,Ruth A. Swanson-Wagner,Peter Tiffin,Jun Wang,Gengyun Zhang,John Doebley,Michael D. McMullen,Doreen Ware,Edward S. Buckler,Shuang Yang,Jeffrey Ross‐Ibarra
出处
期刊:Nature Genetics [Springer Nature]
卷期号:44 (7): 808-811 被引量:833
标识
DOI:10.1038/ng.2309
摘要

Jeff Ross-Ibarra and colleagues report a population genomic analysis of maize evolution. They analyze genome-wide evidence for selection during the initial domestication of wild maize and during the improvement of landraces to modern inbred breeds. Their findings suggest stronger selection during domestication compared to improvement. Domestication and plant breeding are ongoing 10,000-year-old evolutionary experiments that have radically altered wild species to meet human needs. Maize has undergone a particularly striking transformation. Researchers have sought for decades to identify the genes underlying maize evolution1,2, but these efforts have been limited in scope. Here, we report a comprehensive assessment of the evolution of modern maize based on the genome-wide resequencing of 75 wild, landrace and improved maize lines3. We find evidence of recovery of diversity after domestication, likely introgression from wild relatives, and evidence for stronger selection during domestication than improvement. We identify a number of genes with stronger signals of selection than those previously shown to underlie major morphological changes4,5. Finally, through transcriptome-wide analysis of gene expression, we find evidence both consistent with removal of cis-acting variation during maize domestication and improvement and suggestive of modern breeding having increased dominance in expression while targeting highly expressed genes.
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