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Exploring Novel Microbial Approaches for Enhancing Crop Resilience to Abiotic Stress: Mechanisms and Applications
Ines Harzli1, Karam Mostafa2,3, Vildan Akin Mutlu1
1Faculty of Science, Department of Biology, Ondokuz Mayıs University, Samsun, Türkiye.
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The current state of agriculture heavily relies on chemical fertilizers and pesticides, which can negatively impact plant nutritional quality, plant health, and productivity. Additionally, abiotic stresses pose significant challenges to global agricultural productivity, threatening food security and crop sustainability. Therefore, developing and implementing sustainable alternatives to chemical fertilizers and pesticides is crucial to enhance agricultural productivity and resilience. Recent research highlights the potential of microorganisms, such as plant growth-promoting rhizobacteria (PGPR), mycorrhizal fungi, and endophytes, as sustainable solutions to improve plant resilience under abiotic stress conditions. However, challenges including scalability, ecological impacts, and the need for standardized application methods persist. This review explores novel microbial approaches to improving crop resilience against abiotic stress, focusing on how microorganisms interact with plants to mitigate stress impacts. Key mechanisms include the production of stress-alleviating compounds, enhanced nutrient uptake, and modulation of plant stress response pathways. We also examine advanced strategies in plant breeding, emphasizing CRISPR/Cas-mediated genome editing technologies as powerful tools for elucidating plant-microbe interactions. A thorough understanding of these interactions is essential for effectively applying genome editing to enhance the functional capacities of plants or associated microbes, ultimately improving key agronomic traits. This review provides a comprehensive overview of these innovative microbial approaches and their practical applications in sustainable agriculture, offering insights into future research directions, such as developing novel microbial strains and optimizing field applications.
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