Evidence map›Paper›PMID 36292617›Full record

ArticleGenes2022

Integrative System Biology Analysis of Transcriptomic Responses to Drought Stress in Soybean (

Amir Ghaffar Shahriari, Zahra Soltani, Aminallah Tahmasebi, Péter Poczai

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
2.9field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 3 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Abiotic Stress in Crop Production.International journal of molecular sciences · 2023
    Pooled it
  3. Pooled it
  4. Article
  5. Article
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  7. Article
  8. Article
  9. Overexpression of soybeanFrontiers in plant science · 2023
    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

4 authors at 3 institutions in 2 countries.

Amir Ghaffar ShahriariDepartment of Agriculture and Natural Resources, Higher Education Center of Eghlid, Eghlid 7381943885, Iran.ORCID 0000-0003-1772-9060
Zahra SoltaniInstitute of Biotechnology, Shiraz University, Shiraz 7144113131, Iran.
Aminallah TahmasebiDepartment of Agriculture, Minab Higher Education Center, University of Hormozgan, Bandar Abbas 7916193145, Iran.
Péter PoczaiFinnish Museum of Natural History, University of Helsinki, P.O. Box 7, FI-00014 Helsinki, Finland.ORCID 0000-0002-0107-1068
Shiraz University · IRUniversity of Helsinki · FIUniversity of Hormozgan · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drought is a major abiotic stressor that causes yield losses and limits the growing area for most crops. Soybeans are an important legume crop that is sensitive to water-deficit conditions and suffers heavy yield losses from drought stress. To improve drought-tolerant soybean cultivars through breeding, it is necessary to understand the mechanisms of drought tolerance in soybeans. In this study, we applied several transcriptome datasets obtained from soybean plants under drought stress in comparison to those grown under normal conditions to identify novel drought-responsive genes and their underlying molecular mechanisms. We found 2168 significant up/downregulated differentially expressed genes (DEGs) and 8 core modules using gene co-expression analysis to predict their biological roles in drought tolerance. Gene Ontology and KEGG analyses revealed key biological processes and metabolic pathways involved in drought tolerance, such as photosynthesis, glyceraldehyde-3-phosphate dehydrogenase and cytokinin dehydrogenase activity, and regulation of systemic acquired resistance. Genome-wide analysis of plants' cis-acting regulatory elements (CREs) and transcription factors (TFs) was performed for all of the identified DEG promoters in soybeans. Furthermore, the PPI network analysis revealed significant hub genes and the main transcription factors regulating the expression of drought-responsive genes in each module. Among the four modules associated with responses to drought stress, the results indicated that GLYMA_04G209700, GLYMA_02G204700, GLYMA_06G030500, GLYMA_01G215400, and GLYMA_09G225400 have high degrees of interconnection and, thus, could be considered as potential candidates for improving drought tolerance in soybeans. Taken together, these findings could lead to a better understanding of the mechanisms underlying drought responses in soybeans, which may useful for engineering drought tolerance in plants.

Indexed as

DroughtsFabaceaeGene Expression Regulation, PlantGene OntologyGlycine maxPlant BreedingTranscription FactorsTranscriptomeWaterTranscription FactorsWaterco-expression analysisdrought stressGlycine maxmeta-analysistranscriptome

Identifiers

PMID36292617
PMCPMC9602024
OpenAlexW4297349525

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.