Evidence map›Paper›PMID 35161414›Full record

ArticlePlants (Basel, Switzerland)2022

Comparative Flower Transcriptome Network Analysis Reveals

Mayank Kaashyap, Rebecca Ford, Anita Mann, Rajeev K Varshney, Kadambot H M Siddique, Nitin Mantri

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Key Pathways and Genes ofPlants (Basel, Switzerland) · 2023
    Article
  10. Article
  11. Getting to the roots ofSaudi journal of biological sciences · 2022
    Article
  12. Review
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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

6 authors at 5 institutions in 2 countries.

Mayank KaashyapThe Pangenomics Group, School of Science, RMIT University, Melbourne 3083, Australia.ORCID 0000-0002-7538-4913
Rebecca FordSchool of Environment and Science, Griffith University, Nathan 4111, Australia.ORCID 0000-0002-4192-0706
Anita MannDivision of Crop Improvement, ICAR-Central Soil Salinity Research Institute (CSSRI), Zarifa Farm, Karnal 132001, India.ORCID 0000-0002-8368-4262
Rajeev K VarshneyCenter of Excellence in Genomics & Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502324, India.ORCID 0000-0002-4562-9131
Kadambot H M SiddiqueThe UWA Institute of Agriculture, The University of Western Australia, Perth 6001, Australia.ORCID 0000-0001-6097-4235
Nitin MantriThe Pangenomics Group, School of Science, RMIT University, Melbourne 3083, Australia.ORCID 0000-0002-7621-035X
The University of Western Australia · AUCentral Soil Salinity Research Institute · INGriffith University · AUMurdoch University · AURMIT University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Salinity is increasingly becoming a significant problem for the most important yet intrinsically salt-sensitive grain legume chickpea. Chickpea is extremely sensitive to salinity during the reproductive phase. Therefore, it is essential to understand the molecular mechanisms by comparing the transcriptomic dynamics between the two contrasting genotypes in response to salt stress. Chickpea exhibits considerable genetic variation amongst improved cultivars, which show better yields in saline conditions but still need to be enhanced for sustainable crop production. Based on previous extensive multi-location physiological screening, two identified genotypes, JG11 (salt-tolerant) and ICCV2 (salt-sensitive), were subjected to salt stress to evaluate their phenological and transcriptional responses. RNA-Sequencing is a revolutionary tool that allows for comprehensive transcriptome profiling to identify genes and alleles associated with stress tolerance and sensitivity. After the first flowering, the whole flower from stress-tolerant and sensitive genotypes was collected. A total of ~300 million RNA-Seq reads were sequenced, resulting in 2022 differentially expressed genes (DEGs) in response to salt stress. Genes involved in flowering time such as

Indexed as

co-expression networkion-homeostasisphytohormone signallingpollen tubesalinitytranscription factor

Identifiers

PMID35161414
PMCPMC8838858
OpenAlexW4210629050

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.