Evidence map›Paper›PMID 28181537›Full record

ArticleScientific reports2017

Analysis of drought-responsive signalling network in two contrasting rice cultivars using transcriptome-based approach.

Pratikshya Borah, Eshan Sharma, Amarjot Kaur, Girish Chandel, Trilochan Mohapatra, Sanjay Kapoor, Jitendra P Khurana

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
32.9field-weighted citation impact, top 1% of its field
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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 94 citations in OpenAlex.

  1. Pooled it
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  6. Identification of Drought Tolerant Rice (Plants (Basel, Switzerland) · 2023
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  11. Genome-wide SNP discovery, linkage mapping, and analysis of QTL for morpho-physiological traits in rice during vegetative stage under drought stress.Physiology and molecular biology of plants : an international journal of functional plant biology · 2021
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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

7 authors at 3 institutions in 1 country.

Pratikshya BorahInterdisciplinary Centre for Plant Genomics, University of Delhi South Campus, New Delhi - 110021, India.
Eshan SharmaDepartment of Plant Molecular Biology, University of Delhi South Campus, New Delhi - 110021, India.
Amarjot KaurDepartment of Plant Molecular Biology, University of Delhi South Campus, New Delhi - 110021, India.
Girish ChandelIndira Gandhi Agricultural University, Raipur - 492012, India.
Trilochan MohapatraDepartment of Agricultural Research and Education, Indian Council of Agricultural Research, New Delhi - 110012, India.
Sanjay KapoorInterdisciplinary Centre for Plant Genomics, University of Delhi South Campus, New Delhi - 110021, India.
Jitendra P KhuranaInterdisciplinary Centre for Plant Genomics, University of Delhi South Campus, New Delhi - 110021, India.
University of Delhi · INIndian Council of Agricultural Research · INIndira Gandhi Agricultural University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional cultivars of rice in India exhibit tolerance to drought stress due to their inherent genetic variations. Here we present comparative physiological and transcriptome analyses of two contrasting cultivars, drought tolerant Dhagaddeshi (DD) and susceptible IR20. Microarray analysis revealed several differentially expressed genes (DEGs) exclusively in DD as compared to IR20 seedlings exposed to 3 h drought stress. Physiologically, DD seedlings showed higher cell membrane stability and differential ABA accumulation in response to dehydration, coupled with rapid changes in gene expression. Detailed analyses of metabolic pathways enriched in expression data suggest interplay of ABA dependent along with secondary and redox metabolic networks that activate osmotic and detoxification signalling in DD. By co-localization of DEGs with QTLs from databases or published literature for physiological traits of DD and IR20, candidate genes were identified including those underlying major QTL qDTY

Indexed as

Adaptation, PhysiologicalChromosome MappingDroughtsGene Expression ProfilingGene Expression Regulation, PlantGenotypeIndiaOryzaPhenotypeQuantitative Trait LociSeedlingsStress, PhysiologicalTranscriptome

Identifiers

PMID28181537
PMCPMC5299611
OpenAlexW2587635755

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.