| Literature DB >> 36266506 |
Lu Chen1,2, Jingyun Luo1, Minliang Jin1, Ning Yang3,4, Xiangguo Liu5, Yong Peng1, Wenqiang Li1, Alyssa Phillips6,7, Brenda Cameron7, Julio S Bernal8, Rubén Rellán-Álvarez9, Ruairidh J H Sawers10, Qing Liu5, Yuejia Yin5, Xinnan Ye5, Jiali Yan1, Qinghua Zhang1, Xiaoting Zhang1, Shenshen Wu1, Songtao Gui1, Wenjie Wei1, Yuebin Wang1, Yun Luo1, Chenglin Jiang1, Min Deng1, Min Jin1, Liumei Jian1, Yanhui Yu1, Maolin Zhang1, Xiaohong Yang11, Matthew B Hufford12, Alisdair R Fernie13, Marilyn L Warburton14, Jeffrey Ross-Ibarra15, Jianbing Yan16,17.
Abstract
Maize is a globally valuable commodity and one of the most extensively studied genetic model organisms. However, we know surprisingly little about the extent and potential utility of the genetic variation found in wild relatives of maize. Here, we characterize a high-density genomic variation map from 744 genomes encompassing maize and all wild taxa of the genus Zea, identifying over 70 million single-nucleotide polymorphisms. The variation map reveals evidence of selection within taxa displaying novel adaptations. We focus on adaptive alleles in highland teosinte and temperate maize, highlighting the key role of flowering-time-related pathways in their adaptation. To show the utility of variants in these data, we generate mutant alleles for two flowering-time candidate genes. This work provides an extensive sampling of the genetic diversity of Zea, resolving questions on evolution and identifying adaptive variants for direct use in modern breeding.Entities:
Year: 2022 PMID: 36266506 DOI: 10.1038/s41588-022-01184-y
Source DB: PubMed Journal: Nat Genet ISSN: 1061-4036 Impact factor: 41.307