Decoding Plant Evolutionary Adaptation Mechanisms: Integrating Multi-omics and Artificial Intelligence Predictive Models to Construct a Comprehensive Framework for Climate-Resilient Ecosystems
DOI:
https://doi.org/10.64229/enck1091Keywords:
Plant Evolutionary Adaptation, Multi-omics Integration, Artificial Intelligence, Predictive Modeling, Climate Resilience, Genomics, Ecological Genomics, Stress PhysiologyAbstract
Accelerating climate change poses unprecedented challenges to global plant biodiversity and agricultural security. Understanding and harnessing the inherent adaptive capacity of plants is therefore an urgent scientific and societal imperative. This article synthesizes cutting-edge research to argue that a siloed approach to studying plant adaptation-focusing solely on genetics, physiology, or ecology-is insufficient to decode the complex, multi-layered mechanisms underpinning climate resilience. We propose a novel, integrative framework that systematically converges multi-omics technologies (genomics, transcriptomics, proteomics, metabolomics, epigenomics) with advanced artificial intelligence (AI) and machine learning (ML) predictive models. The framework is designed to move beyond correlation to reveal causation, mapping the intricate pathways from genetic variation and epigenetic regulation to phenotypic plasticity and fitness outcomes in changing environments. We elucidate core evolutionary adaptation mechanisms, including adaptive trait evolution, genomic signatures of selection, and the role of the plant microbiome. A dedicated analytical table evaluates the synergistic power of specific omics-AI pairings across research scenarios. The article further explores applied pathways for translating this knowledge into climate-smart crop breeding, ecological restoration genomics, and the design of climate-resilient agricultural and natural ecosystems. Finally, we address critical challenges-data standardization, model interpretability, and ethical use of genetic resources-and chart future directions for a truly predictive and engineering-oriented science of plant adaptation. This integrated perspective aims to catalyze a paradigm shift, enabling the proactive development of ecosystems capable of withstanding the climatic uncertainties of the 21st century.
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Copyright (c) 2025 Jonathan Lefebvre (Author)
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