Indian Council of Agricultural Research (ICAR)-National Research Centre on Plant Biotechnology, Pusa Campus, New Delhi, India.
Jamia Hamdard, Hamdard Nagar, New Delhi, India.
Database (Oxford). 2019 Jan 1;2019:baz015. doi: 10.1093/database/baz015.
Nearly two decades of revolution in the area of genomics serves as the basis of present-day molecular breeding in major food crops such as rice. Here we report an open source database on two major biotic stresses of rice, named RiceMetaSysB, which provides detailed information about rice blast and bacterial blight (BB) responsive genes (RGs). Meta-analysis of microarray data from different blast- and BB-related experiments across 241 and 186 samples identified 15135 unique genes for blast and 7475 for BB. A total of 9365 and 5375 simple sequence repeats (SSRs) in blast and BB RGs were identified for marker development. Retrieval of candidate genes using different search options like genotypes, tissue, developmental stage of the host, strain, hours/days post-inoculation, physical position and SSR marker information is facilitated in the database. Search options like 'common genes among varieties' and 'strains' have been enabled to identify robust candidate genes. A 2D representation of the data can be used to compare expression profiles across genes, genotypes and strains. To demonstrate the utility of this database, we queried for blast-responsive WRKY genes (fold change ≥5) using their gene IDs. The structural variations in the 12 WRKY genes so identified and their promoter regions were explored in two rice genotypes contrasting for their reaction to blast infection. Expression analysis of these genes in panicle tissue infected with a virulent and an avirulent strain of Magnaporthe oryzae could identify WRKY7, WRKY58, WRKY62, WRKY64 and WRKY76 as potential candidate genes for resistance to panicle blast, as they showed higher expression only in the resistant genotype against the virulent strain. Thus, we demonstrated that RiceMetaSysB can play an important role in providing robust candidate genes for rice blast and BB.
近二十年来,基因组学领域的革命为当今主要粮食作物(如水稻)的分子育种奠定了基础。在这里,我们报告了一个关于水稻两种主要生物胁迫的开源数据库,名为 RiceMetaSysB,它提供了有关稻瘟病和细菌性枯萎病(BB)响应基因(RGs)的详细信息。对来自 241 个和 186 个样本的不同稻瘟病和 BB 相关实验的微阵列数据进行的元分析,鉴定了 15135 个独特的稻瘟病基因和 7475 个 BB 基因。在 BB 和 BB RG 中总共鉴定了 9365 和 5375 个简单重复序列(SSR),用于标记开发。数据库中可以使用不同的搜索选项(如基因型、组织、宿主发育阶段、菌株、接种后小时/天数、物理位置和 SSR 标记信息)检索候选基因。启用了“品种间的共同基因”和“菌株”等搜索选项,以鉴定稳健的候选基因。可以使用数据的 2D 表示来比较基因、基因型和菌株之间的表达谱。为了演示该数据库的实用性,我们使用基因 ID 查询了对稻瘟病有反应的 WRKY 基因(倍数变化≥5)。在所鉴定的 12 个 WRKY 基因中,对其结构变异及其启动子区域在两个对稻瘟病感染反应不同的水稻基因型中进行了探讨。在受强毒和无毒菌株感染的穗组织中对这些基因进行表达分析,可以鉴定 WRKY7、WRKY58、WRKY62、WRKY64 和 WRKY76 为穗部稻瘟病抗性的潜在候选基因,因为它们在抗性基因型中仅对强毒菌株表现出更高的表达。因此,我们证明 RiceMetaSysB 可以在为稻瘟病和 BB 提供稳健的候选基因方面发挥重要作用。