Evidence map›Paper›PMID 32020909›Full record

ArticleJournal of biosciences2020

Comprehensive molecular insights into the stress response dynamics of rice (

Gaurav Kumar, Indranil Dasgupta

Abstract read
PubMed
In one paragraph

Article in Journal of biosciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. CRISPR/Cas-Mediated Resistance against Viruses in Plants.International journal of molecular sciences · 2022
    Review
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

2 authors.

Gaurav KumarDepartment of Plant Molecular Biology, University of Delhi South Campus, New Delhi 110 021, India.
Indranil Dasgupta

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice tungro is a serious viral disease of rice resulting from infection by two viruses, Rice tungro bacilliform virus and Rice tungro spherical virus. To gain molecular insights into the global gene expression changes in rice during tungro, a comparative whole genome transcriptome study was performed on healthy and tungroaffected rice plants using Illumina Hiseq 2500. About 10 GB of sequenced data comprising about 50 million paired end reads per sample were then aligned on to the rice genome. Gene expression analysis revealed around 959 transcripts, related to various cellular pathways concerning stress response and hormonal homeostasis to be differentially expressed. The data was validated through qRT-PCR. Gene ontology and pathway analyses revealed enrichment of transcripts and processes similar to the differentially expressed genes categories. In short, the present study is a comprehensive coverage of the differential gene expression landscape and provides molecular insights into the infection dynamics of the rice-tungro virus system.

Indexed as

Gene OntologyOryzaPlant DiseasesPolymerase Chain ReactionRNA-SeqTranscriptomeTungrovirusWaikavirus

Identifiers

PMID32020909

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.