Evidence map›Paper›PMID 30753479›Full record

ArticleDatabase : the journal of biological databases and curation2019

RiceMetaSysB: a database of blast and bacterial blight responsive genes in rice and its utilization in identifying key blast-resistant WRKY genes.

V Sureshkumar, Bipratip Dutta, Vishesh Kumar, G Prakash, Dwijesh C Mishra, K K Chaturvedi, Anil Rai, Amitha Mithra Sevanthi, Amolkumar U Solanke

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. RiceMetaSys: Drought-miR, a one-stop solution for drought responsive miRNAs-mRNA module in rice.Database : the journal of biological databases and curation · 2024
    Article
  5. Article
  6. Rice-Frontiers in genetics · 2023
    Article
  7. Article
  8. Article
  9. Overexpression of a DUF740 family gene (Frontiers in plant science · 2022
    Article
  10. Understanding Rice-Genes · 2021
    Article
  11. A Novel Glycerol Kinase GeneFrontiers in plant science · 2021
    Article
  12. Advances in theJournal of biosciences · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

V SureshkumarIndian Council of Agricultural Research (ICAR)-National Research Centre on Plant Biotechnology, Pusa Campus, New Delhi, India.
Bipratip DuttaIndian Council of Agricultural Research (ICAR)-National Research Centre on Plant Biotechnology, Pusa Campus, New Delhi, India.
Vishesh KumarIndian Council of Agricultural Research (ICAR)-National Research Centre on Plant Biotechnology, Pusa Campus, New Delhi, India.
G PrakashICAR-Indian Agricultural Research Institute, Pusa Campus, New Delhi, India.
Dwijesh C MishraICAR-Indian Agricultural Statistics Research Institute, Pusa Campus, New Delhi, India.
K K ChaturvediICAR-Indian Agricultural Statistics Research Institute, Pusa Campus, New Delhi, India.
Anil RaiICAR-Indian Agricultural Statistics Research Institute, Pusa Campus, New Delhi, India.
Amitha Mithra SevanthiIndian Council of Agricultural Research (ICAR)-National Research Centre on Plant Biotechnology, Pusa Campus, New Delhi, India.
Amolkumar U SolankeIndian Council of Agricultural Research (ICAR)-National Research Centre on Plant Biotechnology, Pusa Campus, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Databases, GeneticGenes, PlantDisease ResistanceGene Expression ProfilingGene Expression Regulation, PlantMicrosatellite RepeatsMolecular Sequence AnnotationNucleotidesOryzaPhylogenyPlant DiseasesPlant ProteinsPromoter Regions, GeneticNucleotidesPlant Proteins

Identifiers

PMID30753479
PMCPMC6369264

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.