Evidence map›Paper›PMID 36987099›Full record

ArticlePlants (Basel, Switzerland)2023

Gene Coexpression Analysis Identifies Genes Associated with Chlorophyll Content and Relative Water Content in Pearl Millet.

Harshraj Shinde, Ambika Dudhate, Atul Sathe, Neha Paserkar, Sopan Ganpatrao Wagh, Ulhas Sopanrao Kadam

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

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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 6 institutions in 5 countries.

Harshraj ShindeDepartment of Animal and Food Sciences, College of Agriculture, Food and Environment, University of Kentucky, Lexington, KY 40546, USA.
Ambika DudhateSequencing and Discovery Genomics Center, Stowers Institute for Medical Research, Kansas City, MO 64110, USA.
Atul SathePlant Science Department, McGill University, Macdonald Campus, Sainte Anne de Bellevue, QC H9X 3V9, Canada.
Neha PaserkarCollege of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China.
Sopan Ganpatrao WaghDepartment of Adaptive Biotechnology, Global Change Research Institute of the Czech Academy of Sciences, 60300 Brno, Czech Republic.
Ulhas Sopanrao KadamPlant Molecular Biology and Biotechnology Research Center (PMBBRC), Division of Life Science (BK21 Four), Gyeongsang National University, Jinju-Daero, Jinju 52828, Gyeongnam-do, Republic of Korea.ORCID 0000-0001-8737-167X
Czech Academy of Sciences, Global Change Research Institute · CZGyeongsang National University · KRMcGill University · CAStowers Institute for Medical Research · USUniversity of Kentucky · USZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pearl millet is a significant crop that is tolerant to abiotic stresses and is a staple food of arid regions. However, its underlying mechanisms of stress tolerance are not fully understood. Plant survival is regulated by the ability to perceive a stress signal and induce appropriate physiological changes. Here, we screened for genes regulating physiological changes such as chlorophyll content (CC) and relative water content (RWC) in response to abiotic stress by using "weighted gene coexpression network analysis" (WGCNA) and clustering changes in physiological traits, i.e., CC and RWC associated with gene expression. Genes' correlations with traits were defined in the form of modules, and different color names were used to denote a particular module. Modules are groups of genes with similar patterns of expression, which also tend to be functionally related and co-regulated. In WGCNA, the dark green module (7082 genes) showed a significant positive correlation with CC, and the black (1393 genes) module was negatively correlated with CC and RWC. Analysis of the module positively correlated with CC highlighted ribosome synthesis and plant hormone signaling as the most significant pathways.

Indexed as

gene clusteringgene expressionmodulepathwayspearl milletrelative water contentWGCNA

Identifiers

PMID36987099
PMCPMC10057621
OpenAlexW4353091361

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.