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A FLASH pipeline for arrayed CRISPR library construction and the gene function discovery of rice receptor-like kinases

生物 清脆的 计算生物学 基因 突变体 基因组编辑 遗传学 引导RNA 基因组
作者
Kaiyuan Chen,Runnan Ke,Manman Du,Yuqing Yi,Yache Chen,Xiaochun Wang,Yao Lu,Hao Líu,Xin Hou,Lizhong Xiong,Yinong Yang,Kabin Xie
出处
期刊:Molecular Plant [Elsevier BV]
卷期号:15 (2): 243-257 被引量:24
标识
DOI:10.1016/j.molp.2021.09.015
摘要

Clustered regularly interspaced short palindromic repeats (CRISPR)-CRISPR-associated protein 9 (Cas9)-mediated gene editing is revolutionizing plant research and crop breeding. Here, we present an effective and streamlined pipeline for arrayed CRISPR library construction and demonstrate it is suitable for small- to large-scale genome editing in plants. This pipeline introduces artificial PCR fragment-length markers for distinguishing guide RNAs (gRNAs) (FLASH), and a group of 12 constructs harboring different FLASH tags are co-transformed into plants each time. The identities of gRNAs in Agrobacterium mixtures and transgenic plants can therefore be read out by detecting the FLASH tags, a process that requires only conventional PCR and gel electrophoresis rather than sequencing. We generated an arrayed CRISPR library targeting all 1,072 members of the receptor-like kinase (RLK) family in rice. One-shot transformation generated a mutant population that covers gRNAs targeting 955 RLKs, and 74.3% (710/955) of the target genes had three or more independent T0 lines. Our results indicate that the FLASH tags act as bona fide surrogates for the gRNAs and are tightly (92.1%) associated with frameshift mutations in the target genes. In addition, the FLASH pipeline allows for rapid identification of unintended editing events without corresponding T-DNA integrations and generates high-order mutants of closely related RLK genes. Furthermore, we showed that the RLK mutant library enables rapid discovery of defense-related RLK genes. This study introduces an effective pipeline for arrayed CRISPR library construction and provides genome-wide rice RLK mutant resources for functional genomics.

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