OMICS APPROACHES ASSISTED WITH ARTIFICIAL INTELLIGENCE AS A TOOL AGAINST BIOTIC STRESS TOLERANCE IN PLANTS- A REVIEW

Abstract

With increasing human population the entire world is facing the problem of food production. Feeding of growing population becoming more difficult due to unpredictable change in climate condition creating pressure on crop production to agriculture community. Plant faces range of biotic stresses which affect growth and development at various stages and interferes cellular, molecular and development processes which reduces agriculture crop productivity. Therefore there is a need to develop sustainable approaches or solutions to address such issues. This can be achieved by using multi omics approaches that help in grasping the molecular mechanism involved in stress resistance mechanism, characterize plant biomolecular pool which help in maintaining response to variable environmental condition. It will provide better understanding of integrated omics approach along with the adoption of artificial intelligence algorithms to understand complex omics data for improving plant tolerance to biotic stress and identify possible targets for enhancing resistance through recombinant DNA technology or plant breeding approaches. Therefore this review provide perception into multi-omic approaches, their limitations and how omics assisted by artificial intelligence present a valuable tool in understanding host pathogen interactions and provide a way for effective crop development strategies under the scenario of climate change.