Exploring Plant Resilience Through Multi-omics and Genetic Transformation

Agricultural sciences and plant biology increasingly focus on the resilience of plants under various stress conditions, driven by the escalating frequency of both natural and man-made disasters. Plants, unlike animals, cannot escape their environments and must adapt to challenges such as drought, salinity, extreme temperatures, and pest invasions through sophisticated physiological and biochemical adjustments. These adaptations are crucial for their survival, growth, and reproduction. Recent studies have highlighted the intricate mechanisms plants employ, but considerable gaps remain in our understanding of the genetic underpinnings and molecular networks that facilitate these responses.

This Research Topic aims to advance our understanding of the genetic and molecular bases of plant responses to abiotic and biotic stresses. The research will focus on elucidating the complex regulatory networks that govern plant adaptation and employing cutting-edge omics techniques along with efficient genetic transformations to accelerate the identification of key regulatory genes and pathways involved in stress resistance.

To gather further insights within this rapidly developing field, we welcome articles addressing, but not limited to, the following themes:
• Identification and functional verification of candidate resistance genes relevant to abiotic and biotic stresses.
• Integrated analyses of transcriptomic, proteomic, metabolomic, and epigenomic data in plants under stress conditions.
• Detailed mechanisms by which plants respond to and manage abiotic and biotic stress factors.
• Comparisons of stress responses across different plant species and cultivars.
• Applications of advanced genetic transformation techniques to elucidate and manipulate stress response pathways.

This collection seeks to compile a comprehensive resource of research findings that will be invaluable for both academic researchers and practical breeders aiming to develop resilient, high-yield crop varieties.