Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

RiceMetaSysB

General information

URL: http://14.139.229.201/RiceMetaSysB/index.php
Full name:
Description: RiceMetaSysB is the database of rice blast and bacterial blight responsive genes (Rice Blast RGs and Bacterial Blight RGs). The database explores gene expression for blast and bacterial leaf blight disease across 241 and 186 samples, respectively. There are 15135 unique genes for rice blast and 7475 for bacterial leaf blight in this database.
Year founded: 2019
Last update:
Version:
Accessibility:
Accessible
Country/Region: India

Classification & Tag

Data type:
RNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: National Research Centre on Plant Biotechnology
Address: Indian Council of Agricultural Research (ICAR)—National Research Centre on Plant Biotechnology, Pusa Campus, New Delhi, India
City:
Province/State:
Country/Region: India
Contact name (PI/Team): Amolkumar U Solanke
Contact email (PI/Helpdesk): amolsgene@gmail.com

Publications

30753479
RiceMetaSysB: a database of blast and bacterial blight responsive genes in rice and its utilization in identifying key blast-resistant WRKY genes. [PMID: 30753479]
Sureshkumar V, Dutta B, Kumar V, Prakash G, Mishra DC, Chaturvedi KK, Rai A, Sevanthi AM, Solanke AU.

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.

Database (Oxford). 2019:2019() | 12 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
4289/6895 (37.81%)
Expression:
896/1347 (33.556%)
4289
Total Rank
11
Citations
1.833
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Record metadata

Created on: 2024-01-03
Curated by:
Yuanyuan Cheng [2024-01-03]