Park Jongsun, Park Bongsoo, Veeraraghavan Narayanan, Jung Kyongyong, Lee Yong-Hwan, Blair Jaime E, Geiser David M, Isard Scott, Mansfield Michele A, Nikolaeva Ekaterina, Park Sook-Young, Russo Joseph, Kim Seong H, Greene Matthew, Ivors Kelly L, Balci Yilmaz, Peiman Masoomeh, Erwin Donald C, Coffey Michael D, Rossman Amy, Farr David, Cline Erica, Grünwald Niklaus J, Luster Douglas G, Schrandt Julia, Martin Frank, Ribeiro Olaf K, Makalowska Izabela, Kang Seogchan
School of Agricultural Biotechnology and Fungal Bioinformatics Laboratory, Seoul National University, Seoul, Korea.
Department of Plant Pathology.
Plant Dis. 2008 Jun;92(6):966-972. doi: 10.1094/PDIS-92-6-0966.
Phytophthora spp. represent a serious threat to agricultural and ecological systems. Many novel Phytophthora spp. have been reported in recent years, which is indicative of our limited understanding of the ecology and diversity of Phytophthora spp. in nature. Systematic cataloging of genotypic and phenotypic information on isolates of previously described species serves as a baseline for identification, classification, and risk assessment of new Phytophthora isolates. The Phytophthora Database (PD) was established to catalog such data in a web-accessible and searchable format. To support the identification of new Phytophthora isolates via comparison of their sequences at one or more loci with the corresponding sequences derived from the isolates archived in the PD, we generated and deposited sequence data from more than 1,500 isolates representing the known diversity in the genus. Data search and analysis tools in the PD include BLAST, Phyloviewer (a program for building phylogenetic trees using sequences of selected isolates), and Virtual Gel (a program for generating expected restriction patterns for given sequences). The PD also provides a customized means of storing and sharing data via the web. The PD serves as a model that easily can be adopted to develop databases for other important pathogen groups.
疫霉属对农业和生态系统构成严重威胁。近年来已报道了许多新的疫霉属物种,这表明我们对自然界中疫霉属物种的生态和多样性了解有限。对先前描述物种的分离株的基因型和表型信息进行系统编目,可为新的疫霉分离株的鉴定、分类和风险评估提供基线。疫霉数据库(PD)的建立是为了以可通过网络访问和搜索的格式编目此类数据。为了通过将新的疫霉分离株在一个或多个位点的序列与保存在PD中的分离株的相应序列进行比较来支持新疫霉分离株的鉴定,我们生成并存储了代表该属已知多样性的1500多个分离株的序列数据。PD中的数据搜索和分析工具包括BLAST、Phyloviewer(一个使用选定分离株的序列构建系统发育树的程序)和Virtual Gel(一个为给定序列生成预期限制性图谱的程序)。PD还提供了一种通过网络存储和共享数据的定制方式。PD可作为一个模型,很容易被用于开发其他重要病原体群体的数据库。