Integrating Multi-Omics Data for Plant Stress Response: Current Advances and Future Directions

The growth along with productiveness of plants undergoes influence from multiple abiotic and biotic stress factors. The collection of multi-omics approaches combines genomic data with RNA sequences together with protein and metabolic data to create an all-encompassing knowledge system about plant stress responsiveness. Progress in sequencing technology and mass spectrometry and computational techniques makes it possible to identify genes along with proteins and metabolites and regulatory networks in response to stress. The obtained knowledge helps develop marker-assisted selection together with metabolic engineering and precision agriculture techniques for crop improvement. The combination of single-cell and spatial omics and stress memory studies with microbiome interaction research presents great potential to boost plant resistance while sustaining agricultural practices.