Thakur Shalabh, Jha Sanjay, Roy-Barman Subhankar, Chattoo Bharat
Centre for Genome Research, Department of Microbiology and Biotechnology Centre, Faculty of Science, The M, S, University of Baroda, Vadodara - 390002, India.
BMC Genomics. 2009 Jul 15;10:316. doi: 10.1186/1471-2164-10-316.
Magnaporthe oryzae, rice blast fungus, is the most devastating pathogen of rice. It has emerged as a model phytopathogen for the study of host-pathogen interactions. A large body of data has been generated on different aspects of biology of this fungus and on host-pathogen interactions. However, most of the data is scattered and is not available as a single resource for researchers in this field.
Genomic Resources of Magnaporthe oyzae (GROMO), is a specialized, and comprehensive database for rice blast fungus, integrating information from several resources. GROMO contains information on genomic sequence, mutants available, gene expression, localization of proteins obtained from a variety of repositories, as primary data. In addition, prediction of domains, pathways, protein-protein interactions, sumolyation sites and biochemical properties that were obtained after computational analysis of protein sequences have also been included as derived data. This database has an intuitive user interface that shall prompt the user to explore various possible information resources available on a given gene or a protein, from a single source.
Currently, information on M. oryzae is available from different resources like BROAD MIT Magnaporthe database, Agrobacterium tumefaciens-mediated transformation (ATMT) M. oryzae database, Magnaporthe grisea--Oryza sativa (MGOS) and Massive Parallel Signature Sequencing (MPSS) databases. In the GROMO project, an effort has been made to integrate information from all these databases, derive some new data based on the available information analyzed by relevant programs and make more insightful predictions to better understand the biology of M. oryzae. The database is currently available at: http://gromo.msubiotech.ac.in/
稻瘟病菌是水稻最具毁灭性的病原体。它已成为研究宿主 - 病原体相互作用的模式植物病原体。关于这种真菌生物学的不同方面以及宿主 - 病原体相互作用,已经产生了大量数据。然而,这些数据大多分散,该领域的研究人员无法将其作为单一资源获取。
稻瘟病菌基因组资源(GROMO)是一个专门且全面的稻瘟病菌数据库,整合了来自多种资源的信息。GROMO包含基因组序列、可用突变体、基因表达、从各种储存库获得的蛋白质定位等信息作为原始数据。此外,通过对蛋白质序列进行计算分析后获得的结构域预测、途径、蛋白质 - 蛋白质相互作用、SUMO化位点和生化特性等也作为衍生数据被纳入。该数据库具有直观的用户界面,可促使用户从单一来源探索给定基因或蛋白质上可用的各种可能信息资源。
目前,关于稻瘟病菌的信息可从不同资源获取,如BROAD MIT稻瘟病菌数据库、根癌农杆菌介导转化(ATMT)稻瘟病菌数据库、稻瘟病菌 - 水稻(MGOS)和大规模平行签名测序(MPSS)数据库。在GROMO项目中,已努力整合来自所有这些数据库的信息,基于相关程序分析的现有信息推导一些新数据,并做出更有洞察力的预测,以更好地理解稻瘟病菌的生物学特性。该数据库目前可在以下网址获取:http://gromo.msubiotech.ac.in/