Liu Zhihao, Zhao Yikun, Zhang Yunlong, Xu Liwen, Zhou Ling, Yang Weiguang, Zhao Han, Zhao Jiuran, Wang Fengge
Key Laboratory of Crop DNA Fingerprinting Innovation and Utilization (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Beijing Academy of Agricultural and Forest Sciences (BAAFS), Beijing, China.
College of Agriculture, Jilin Agricultural University, Changchun, China.
Front Plant Sci. 2023 Jun 28;14:1216505. doi: 10.3389/fpls.2023.1216505. eCollection 2023.
Insertions-deletions (InDels) are the second most abundant molecular marker in the genome and have been widely used in molecular biology research along with simple sequence repeats (SSR) and single-nucleotide polymorphisms (SNP). However, InDel variant mining and marker development usually focuses on a single type of dimorphic InDel, which does not reflect the overall InDel diversity across the genome. Here, we developed Omni InDels for maize, soybean, and rice based on sequencing data and genome assembly that included InDel variants with base lengths from 1 bp to several Mb, and we conducted a detailed classification of Omni InDels. Moreover, we screened a set of InDels that are easily detected and typed (Perfect InDels) from the Omni InDels, verified the site authenticity using 3,587 germplasm resources from 11 groups, and analyzed the germplasm resources. Furthermore, we developed a Multi-InDel set based on the Omni InDels; each Multi-InDel contains multiple InDels, which greatly increases site polymorphism, they can be detected in multiple platforms such as fluorescent capillary electrophoresis and sequencing. Finally, we developed an online database website to make Omni InDels easy to use and share and developed a visual browsing function called "Variant viewer" for all Omni InDel sites to better display the variant distribution.
插入缺失(InDels)是基因组中第二丰富的分子标记,与简单序列重复(SSR)和单核苷酸多态性(SNP)一起被广泛应用于分子生物学研究。然而,InDel变异挖掘和标记开发通常集中在单一类型的双态InDel上,这并不能反映整个基因组的InDel多样性。在此,我们基于测序数据和基因组组装为玉米、大豆和水稻开发了全基因组插入缺失(Omni InDels),其中包括碱基长度从1 bp到数Mb的InDel变异,并对Omni InDels进行了详细分类。此外,我们从Omni InDels中筛选出一组易于检测和分型的InDels(完美InDels),利用来自11个组的3587份种质资源验证了位点真实性,并对种质资源进行了分析。此外,我们基于Omni InDels开发了一个多InDel集合;每个多InDel包含多个InDels,这大大增加了位点多态性,它们可以在荧光毛细管电泳和测序等多个平台上被检测到。最后,我们开发了一个在线数据库网站,以便于使用和共享Omni InDels,并为所有Omni InDel位点开发了一个名为“变异查看器”的可视化浏览功能,以更好地展示变异分布。