ArticleMolecular biotechnology2011
Salt and drought stresses induce the aberrant expression of microRNA genes in tobacco.
Article in Molecular biotechnology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.
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Who cites it
79 citing papers in PubMed, 196 citations in OpenAlex.
- Rice and shine: a review of miRNA-mediated responses to abiotic stress inFrontiers in plant science · 2026Review
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- Transcriptome and Small-RNA Sequencing Reveals the Response Mechanism ofPlants (Basel, Switzerland) · 2025Article
- miRNA Sequencing Analysis in Maize Roots Treated with Neutral and Alkaline Salts.Current issues in molecular biology · 2024Article
- Identification and Analysis of theInternational journal of molecular sciences · 2024Article
- Predicting abiotic stress-responsive miRNA in plants based on multi-source features fusion and graph neural network.Plant methods · 2024Article
- Impact of salinity stress on cotton and opportunities for improvement through conventional and biotechnological approaches.BMC plant biology · 2024Review
- Evaluation of protein's interaction and the regulatory network of some drought-responsive genes in Canola under drought and re-watering conditions.Physiology and molecular biology of plants : an international journal of functional plant biology · 2023Article
- Effects of differentially expressed microRNAs induced by rootstocks and silicon on improving chilling tolerance of cucumber seedlings (Cucumis sativus L.).BMC genomics · 2023Article
- Identification of conserved miRNAs and their targets in Jatropha curcas: an in silico approach.Journal, genetic engineering & biotechnology · 2023Article
- Genome-Wide Analysis of microRNA Expression Profile in Roots and Leaves of Three Wheat Cultivars under Water and Drought Conditions.Biomolecules · 2023Article
- Article
- Review
- Biogenesis, Functions, Interactions, and Resources of Non-Coding RNAs in Plants.International journal of molecular sciences · 2022Review
- ASRmiRNA: Abiotic Stress-Responsive miRNA Prediction in Plants by Using Machine Learning Algorithms with PseudoInternational journal of molecular sciences · 2022Article
- Modulation of miR-429 during osmotic stress in the silversideFrontiers in genetics · 2022Article
- Genome-wide identification of sucrose non-fermenting-1-related protein kinase genes in maize and their responses to abiotic stresses.Frontiers in plant science · 2022Article
- CRISPR-Cas9-based genetic engineering for crop improvement under drought stress.Bioengineered · 2021Review
- Genome-Wide Characterization of Salt-Responsive miRNAs, circRNAs and Associated ceRNA Networks in Tomatoes.International journal of molecular sciences · 2021Article
19 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Drought and salinity stresses significantly altered microRNA (miRNA) expression in a dose-dependent manner in tobacco. Salinity stress changed the miRNA expression levels from a 6.86-fold down-regulation to a 616.57-fold up-regulation. Alternatively, miRNAs were down-regulated by 2.68-fold and up-regulated 2810-fold under drought conditions. miR395 was most sensitive to both stresses and was up-regulated by 616 and 2810-folds by 1.00% PEG and 0.171 M NaCl, respectively. Salinity and drought stresses also changed the expression of protein-coding genes [alcohol dehydrogenase (ADH) and alcohol peroxidase (APX)]. The results suggest that miRNAs may play an important role in plant response to environmental abiotic stresses. Further investigation of miRNA-mediated gene regulation may elucidate the molecular mechanism of plant tolerance to abiotic stresses and has the potential to create a miRNA-based biotechnology for improving plant tolerance to drought and salinity stresses.
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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.