Evidence map›Paper›PMID 37179268›Full record

ArticleMolecular biology reports2023

Temporal expression analysis of microRNAs and their target GRAS genes induced by osmotic stress in two contrasting wheat genotypes.

Shefali Mishra, Reeti Chaudhary, Pradeep Sharma

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Article in Molecular biology reports, 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
1.2field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 3 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Shefali MishraICAR-Indian Institute of Wheat and Barley Research, Karnal Agrasain Marg, Karnal, Haryana, 132 001, India.
Reeti ChaudharyDeenbandhu Chhotu Ram University of Science and Technology, Murthal, India.
Pradeep SharmaICAR-Indian Institute of Wheat and Barley Research, Karnal Agrasain Marg, Karnal, Haryana, 132 001, India. Pradeep.Sharma@icar.gov.in.ORCID http://orcid.org/0000-0003-2099-1959
Deenbandhu Chhotu Ram University of Science and Technology · INIndian Institute of Wheat and Barley Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) are important nonprotein-coding genes in plants which participate in almost all biological processes during abiotic and biotic stresses. Understanding how plants respond to various environmental conditions requires the identification of stress-related miRNAs. In recent years, there has been an increased interest in studying miRNA genes and gene expression. Drought is one of the common environmental stresses limiting plant growth and development. Stress-specific miRNAs and their GRAS gene targets were validated to understand the role of miRNAs in response to osmotic stress.

resultsIn this study, expression patterns of the ten stress-responsive miRNAs involved in osmotic stress adaptation were examined in order to undertand the regulation behavior of abiotic stress and miRNAs in two contrasting wheat genotype C-306 (drought tolerant) and WL-711 (drought sensitive). Three miRNAs were discovered to be upregulated under stress, whereas seven miRNAs were showed to be down-regulated as a consequence of the study. In contrast to miRNA, it was also discovered that GRAS genes as their targets were up-regulated during osmotic stress. In addition, the expression level of miR159, miR408 along with their targets, TaGRAS178 and TaGRAS84 increased in response to osmotic stress. Nevertheless, miR408 is highly conserved miRNA that regulates plant growth, development and stress response. As a result, variation in the expression levels of studied miRNAs in the presence of target genes provides a plausible explanation for miRNA-based abiotic stress regulation. A regulatory network of miRNA and their targets revealed that fourteen miRNA interact with 55 GRAS targets from various subfamilies that contribute in the plant growth and development.

conclusionsThese findings provide evidence for temporal and variety-specific differential regulation of miRNAs and their targets in wheat in response to osmotic shock, and they may aid in determining the potential.

Indexed as

MicroRNAsGene Expression Regulation, PlantGenotypeOsmotic PressurePlantsStress, PhysiologicalTriticumMicroRNAsGRASmiRNAOsmotic stressTranscription factorWheat

Identifiers

PMID37179268
OpenAlexW4376598385

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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.