Dong Chunhao, Zhang Lichao, Chen Zhongxu, Xia Chuan, Gu Yongqiang, Wang Jirui, Li Danping, Xie Zhencheng, Zhang Qiang, Zhang Xueying, Gui Lixuan, Liu Xu, Kong Xiuying
Key Laboratory for Crop Gene Resources and Germplasm Enhancement, MOA, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Department of Life Science, Chengdu Tcuni Technology, Chengdu, China.
Front Plant Sci. 2020 Aug 13;11:1249. doi: 10.3389/fpls.2020.01249. eCollection 2020.
The discovery of functional genes underlying agronomic traits is of great importance for wheat improvement. Here we designed a new wheat exome capture probe panel based on IWGSC RefSeq v1.0 genome sequence information and developed an effective algorithm, varBScore, that can sufficiently reduce the background noise in gene mapping and identification. An effective method, termed bulked segregant exome capture sequencing (BSE-Seq) for identifying causal mutations or candidate genes was established by combining the use of a newly designed wheat exome capture panel, sequencing of bulked segregant pools from segregating populations, and the robust algorithm varBScore. We evaluated the effectiveness of varBScore on SNP calling using the published dataset for mapping and cloning the yellow rust resistance gene in wheat. Furthermore, using BSE-Seq, we rapidly identified a wheat yellow leaf mutant gene, , in an ethyl methanesulfonate (EMS) mutant population and found that a single mutation of G to A at 921 position in the wild type gene encoding magnesium-chelatase subunit chlI caused the leaf yellowing phenotype. We further showed that mutation of through CRISPR/Cas9 gene editing led to a yellow phenotype on the leaves of transgenic wheat, indicating that is the correct causal gene responsible for the mutant phenotype. In summary, our approach is highly efficient for discovering causal mutations and gene cloning in wheat.
发现农艺性状背后的功能基因对小麦改良具有重要意义。在此,我们基于国际小麦基因组测序联盟(IWGSC)参考序列v1.0基因组序列信息设计了一种新的小麦外显子捕获探针组,并开发了一种有效的算法varBScore,该算法能够充分降低基因定位和鉴定中的背景噪声。通过结合使用新设计的小麦外显子捕获组、对分离群体的混合分离池进行测序以及强大的算法varBScore,建立了一种用于鉴定因果突变或候选基因的有效方法,称为混合分离外显子捕获测序(BSE-Seq)。我们利用已发表的用于小麦条锈病抗性基因定位和克隆的数据集评估了varBScore在单核苷酸多态性(SNP)检测方面的有效性。此外,使用BSE-Seq,我们在一个甲基磺酸乙酯(EMS)突变体群体中快速鉴定出一个小麦黄叶突变基因,并发现野生型编码镁螯合酶亚基chlI的基因中第921位的G突变为A导致了叶片发黄表型。我们进一步表明,通过CRISPR/Cas9基因编辑对该基因进行突变会导致转基因小麦叶片出现黄色表型,这表明该基因是导致突变体表型的正确因果基因。总之,我们的方法在发现小麦因果突变和基因克隆方面非常高效。