Stress-Resilient Microbes for Climate-Smart Agriculture: From Ecological Adaptation to AI Guided Microbiome Engineering

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Authors: Anurag Rawal, Krishna Sundari Sattiraju
Cited by: 1
References: 45

Abstract

Drought and salinity caused by climate change are growing risks to the world food supply, triggering increased urgency to find new sustainable solutions for strengthening crop resistance. Smart microbiome engineering is emerging as an option that integrates next-generation bioformulations, and artificial intelligence (AI) to develop specific microbial solutions to suit agroecosystems that are prone to stress. This review outlines mechanistic basis of microbial drought and salinity tolerance such as osmolyte biosynthesis, ACC deaminase activity, EPS-mediated soil aggregation, antioxidant regulation, and synergistic interactions between keystone taxa, for collectively regulating plant physiological and molecular responses to stress. The paper highlights how recent advances of biotechnology and AI-based computational tools permit predictive modelling of plant-microbe interactions, microbial compatibility, and consortium stability. At the same time, the significance of bioformulation science, including encapsulation, controlled-release polymers, nanocarriers, and seed-coating technologies, in enhancing microbial viability and performance in the field was thoroughly analysed. The manuscript conceptualises a combination of mechanistic understanding, computational analytics and formulation innovations for smart microbiome engineering providing a scalable, precision-based model that provides climate-resilient agricultural solutions.

Fields of Study & Subjects

Polymer-Based Agricultural Enhancements Plant-Microbe Interactions and Immunity Biocrusts and Microbial Ecology

Publication details

Journal / source
BIO Web of Conferences
Publisher
EDP Sciences
Volume
233
Pages
02013–02013
Publication date
1 January 2026
Language
FR