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Multi-Omics and Integrative Approach towards Understanding Salinity Tolerance in Rice: A Review
Pandiyan Muthuramalingam1,2,3, Rajendran Jeyasri1, Kasinathan Rakkammal1
1Department of Biotechnology, Science Campus, Alagappa University, Karaikudi 630 003, India.
Rice plants face salinity stress, impacting yield. This review explores molecular and physiological responses, multi-omics, and breeding strategies to enhance salt tolerance for food security.
Area of Science:
- Plant Science
- Agricultural Science
- Molecular Biology
Background:
- Salinity stress is a major threat to rice (Oryza sativa L.) production and global food security.
- Understanding salt tolerance mechanisms is crucial for developing resilient rice varieties.
Purpose of the Study:
- To review molecular-physiological responses, biochemical alterations, and hormonal signaling in rice under salinity stress.
- To highlight advances in multi-omics and computational biology for identifying salt tolerance genes and transcription factors (TFs).
- To summarize biotechnological tools, genetic engineering, breeding, and agricultural practices for enhancing rice salt tolerance.
Main Methods:
- Literature review focusing on molecular and physiological responses to salinity stress in rice.
- Analysis of multi-omics data and computational biology approaches for gene discovery.
- Synthesis of information on biotechnological and breeding strategies for salt tolerance.
Main Results:
- Salinity stress induces complex molecular and physiological changes in rice.
- Multi-omics and computational biology are powerful tools for identifying salt-responsive genes and TFs.
- Various biotechnological and agricultural strategies can be employed to improve rice salt tolerance.
Conclusions:
- Enhancing rice salt tolerance requires a comprehensive understanding of molecular mechanisms.
- Integrating multi-omics, genetic engineering, and advanced breeding offers significant opportunities.
- Further research using powerful tools is needed to uncover novel players and refine salinity stress response pathways.
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