PDF(Pubmed)
Abstract：
Modern plant pathology relies on bioinformatics approaches to create novel plant disease diagnostic tools. In recent years, a significant amount of biological data has been generated due to rapid developments in genomics and molecular biology techniques. The progress in the sequencing of agriculturally important crops has made it possible to develop a better understanding of plant-pathogen interactions and plant resistance. The availability of host-pathogen genome data offers effective assistance in retrieving, annotating, analyzing, and identifying the functional aspects for characterization at the gene and genome levels. Physical mapping facilitates the identification and isolation of several candidate resistance (R) genes from diverse plant species. A large number of genetic variations, such as disease-causing mutations in the genome, have been identified and characterized using bioinformatics tools, and these desirable mutations were exploited to develop disease resistance. Moreover, crop genome editing tools, namely the CRISPR (clustered regulatory interspaced short palindromic repeats)/Cas9 (CRISPR-associated) system, offer novel and efficient strategies for developing durable resistance. This review paper describes some aspects concerning the databases, tools, and techniques used to characterize resistance (R) genes for plant disease management.
摘要：
现代植物病理学依赖于生物信息学方法来创建新的植物疾病诊断工具。近年来,由于基因组学和分子生物学技术的快速发展，已经产生了大量的生物学数据。重要农业作物测序的进展使人们有可能更好地了解植物-病原体相互作用和植物抗性。宿主病原体基因组数据的可用性为检索提供了有效的帮助，注释,分析,并确定在基因和基因组水平上表征的功能方面。物理作图有助于从不同植物物种中鉴定和分离几种候选抗性(R)基因。大量的遗传变异，比如基因组中的致病突变，已经使用生物信息学工具进行了识别和表征，这些理想的突变被用来发展抗病性。此外，作物基因组编辑工具，即CRISPR（成簇调节间隔短回文重复）/Cas9（CRISPR相关）系统，为开发耐久抗性提供新颖有效的策略。这篇综述文件描述了与数据库有关的一些方面，工具,以及用于表征植物疾病管理的抗性（R）基因的技术。
