Evidence map›Paper›PMID 31558740›Full record

ArticleScientific reports2019

RNAseq analysis reveals drought-responsive molecular pathways with candidate genes and putative molecular markers in root tissue of wheat.

Mir Asif Iquebal, Pradeep Sharma, Rahul Singh Jasrotia, Sarika Jaiswal, Amandeep Kaur, Monika Saroha, U B Angadi, Sonia Sheoran, Rajender Singh, G P Singh and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
14.0field-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

33 citing papers in PubMed, 82 citations in OpenAlex.

  1. Article
  2. Review
  3. The Proteomic and Peptidomic Response of Wheat (Plants (Basel, Switzerland) · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Sr65: a widely effective gene for stem rust resistance in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  12. Article
  13. Transcriptome Analysis of Roots from Wheat (International journal of molecular sciences · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Genome-wide identification ofFrontiers in plant science · 2022
    Article
  20. 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

13 authors at 2 institutions in 1 country.

Mir Asif IquebalCentre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi, 110012, India.
Pradeep SharmaICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India.
Rahul Singh JasrotiaCentre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi, 110012, India.
Sarika JaiswalCentre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi, 110012, India.
Amandeep KaurICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India.
Monika SarohaICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India.
U B AngadiCentre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi, 110012, India.
Sonia SheoranICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India.
Rajender SinghICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India.
G P SinghICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India.
Anil RaiCentre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi, 110012, India.
Ratan TiwariICAR-Indian Institute of Wheat and Barley Research, Karnal, Haryana, 132001, India. tiwari1964@yahoo.com.
Dinesh KumarCentre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi, 110012, India. dinesh.kumar@icar.gov.in.
Indian Institute of Wheat and Barley Research · INIndian Agricultural Statistics Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drought is one of the major impediments in wheat productivity. Traditional breeding and marker assisted QTL introgression had limited success. Available wheat genomic and RNA-seq data can decipher novel drought tolerance mechanisms with putative candidate gene and marker discovery. Drought is first sensed by root tissue but limited information is available about how roots respond to drought stress. In this view, two contrasting genotypes, namely, NI5439 41 (drought tolerant) and WL711 (drought susceptible) were used to generate ~78.2 GB data for the responses of wheat roots to drought. A total of 45139 DEGs, 13820 TF, 288 miRNAs, 640 pathways and 435829 putative markers were obtained. Study reveals use of such data in QTL to QTN refinement by analysis on two model drought-responsive QTLs on chromosome 3B in wheat roots possessing 18 differentially regulated genes with 190 sequence variants (173 SNPs and 17 InDels). Gene regulatory networks showed 69 hub-genes integrating ABA dependent and independent pathways controlling sensing of drought, root growth, uptake regulation, purine metabolism, thiamine metabolism and antibiotics pathways, stomatal closure and senescence. Eleven SSR markers were validated in a panel of 18 diverse wheat varieties. For effective future use of findings, web genomic resources were developed. We report RNA-Seq approach on wheat roots describing the drought response mechanisms under field drought conditions along with genomic resources, warranted in endeavour of wheat productivity.

Indexed as

DroughtsQuantitative Trait LociStress, PhysiologicalTranscriptomeGenome-Wide Association StudyINDEL MutationPlant RootsPolymorphism, Single NucleotideRNA-SeqTriticum

Identifiers

PMID31558740
PMCPMC6763491
OpenAlexW2976446192

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.