小麦抗病分子标记数据库构建及生物信息学分析

Construction of Wheat Disease Resistance Molecular Marker Database and Bioinformatics Analysis

研究旨在寻找与小麦抗白粉病、抗锈病相关的标记并构建小麦抗病分子数据库。将其定位于中国春小麦的全基因组数据库中,然后对能够成功进行定位的基因进行有效的序列分析、功能预测、Blast2go注释以及KEGG分析等生物信息学研究,最后对预测出的部分功能基因进行系统发育树的分析,以期为研究小麦病害的发病机理、发掘抗病相关新基因及抗病基因的精细定位和分子标记辅助育种奠定基础。

This paper aims to find markers related to wheat powdery mildew resistance and rust resistance and construct a wheat disease resistance database. It is positioned in the whole genome database of Chinese Spring wheat. Then these genes that can be successfully located perform effective sequence analysis and predict function annotate genes by use Blast2 go software and analysis genes by using KEGG. Finally, some predicted functional genes are analyzed using the phylogenetic tree. In order to study the pathogenesis of wheat diseases, it will lay a foundation for discovering new genes related to disease resistance and the fine mapping of resistance genes and molecular marker assisted breeding.