
Advances in Plant Epigenetic Regulation of Abiotic Stress Response
- 1 Northeast Forestry University, Harbin, China
* Author to whom correspondence should be addressed.
Abstract
With global climate change and increasing environmental pollution, plants are facing increasingly severe abiotic stresses, such as drought, salinization and heavy metal pollution. These stresses not only affect plant growth and development, but also pose a threat to agricultural production and ecosystem stability. In order to adapt to these unfavorable environments, plants have evolved a series of complex response mechanisms, among which epigenetic regulation, as an important means of regulation, has gradually attracted the attention of researchers. By modifying gene expression without modifying the DNA sequence, epigenetic control uses a variety of techniques, including DNA methylation, histone modification, and non-coding RNAs (ncRNA). These mechanisms are crucial for plant responses to abiotic stresses and can significantly enhance plant resistance and adaptive capabilities. DNA methylation can enhance plant resistance by controlling the expression of stress response-related genes; histone modification can regulate plant physiological responses by altering the structure of chromatin and affecting the accessibility of genes; and ncRNAs, especially microRNAs and siRNAs, can regulate plant physiological responses by targeting the expression of stress response-related genes. In-depth study of the role of plant epigenetic regulation in abiotic stress response is of great theoretical and practical significance for improving crop resistance and ensuring food security
Keywords
Plant epigenetic regulation, abiotic stress, non-coding RNAs
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Cite this article
Sun,M. (2025).Advances in Plant Epigenetic Regulation of Abiotic Stress Response.Theoretical and Natural Science,90,81-87.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of ICMMGH 2025 Workshop: Computational Modelling in Biology and Medicine
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