| Literature DB >> 32102844 |
Hai-Jun Liu1, Liumei Jian2, Jieting Xu1,3, Qinghua Zhang1, Maolin Zhang1, Minliang Jin1, Yong Peng1, Jiali Yan1, Baozhu Han3, Jie Liu1, Fan Gao4, Xiangguo Liu5, Lei Huang3, Wenjie Wei1, Yunxiu Ding4, Xiaofeng Yang3, Zhenxian Li4, Mingliang Zhang1, Jiamin Sun1, Minji Bai1, Wenhao Song1, Hanmo Chen1, Xi'ang Sun1, Wenqiang Li1, Yuming Lu6, Ya Liu7, Jiuran Zhao7, Yangwen Qian3, David Jackson1,8, Alisdair R Fernie9, Jianbing Yan2.
Abstract
Maize (Zea mays) is one of the most important crops in the world. However, few agronomically important maize genes have been cloned and used for trait improvement, due to its complex genome and genetic architecture. Here, we integrated multiplexed CRISPR/Cas9-based high-throughput targeted mutagenesis with genetic mapping and genomic approaches to successfully target 743 candidate genes corresponding to traits relevant for agronomy and nutrition. After low-cost barcode-based deep sequencing, 412 edited sequences covering 118 genes were precisely identified from individuals showing clear phenotypic changes. The profiles of the associated gene-editing events were similar to those identified in human cell lines and consequently are predictable using an existing algorithm originally designed for human studies. We observed unexpected but frequent homology-directed repair through endogenous templates that was likely caused by spatial contact between distinct chromosomes. Based on the characterization and interpretation of gene function from several examples, we demonstrate that the integration of forward and reverse genetics via a targeted mutagenesis library promises rapid validation of important agronomic genes for crops with complex genomes. Beyond specific findings, this study also guides further optimization of high-throughput CRISPR experiments in plants.Entities:
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Year: 2020 PMID: 32102844 PMCID: PMC7203946 DOI: 10.1105/tpc.19.00934
Source DB: PubMed Journal: Plant Cell ISSN: 1040-4651 Impact factor: 11.277