Summary
This review examines how plants adapt to metal(loid) toxicity and synthesises recent advances in omics technologies—transcriptomics, proteomics, and metabolomics—for identifying tolerance mechanisms. The authors integrate these approaches with computational biology, bioinformatics tools, artificial intelligence, and high-throughput phenotyping to support development of resilient crop varieties capable of thriving in metal(loid)-contaminated soils whilst maintaining productivity and food security.
Regional applicability
The review's emphasis on omics-driven crop improvement and soil remediation strategies is relevant to UK agricultural policy around contaminated land and food safety, though direct applicability depends on the prevalence and severity of metal(loid) contamination in UK farming systems and whether identified tolerance mechanisms are transferable to UK-grown crop species and environmental conditions.
Key measures
Gene expression profiles; protein abundance; metabolite composition; genotype-to-phenotype relationships; integration of omics data with artificial intelligence and high-throughput phenotyping
Outcomes reported
This review synthesises findings from transcriptomics, proteomics, and metabolomics studies examining plant stress responses to metal(loid) contamination across multiple crop species. It maps identified molecular candidates and adaptation mechanisms with potential for developing tolerant, high-yielding cultivars suitable for contaminated agricultural environments.
Topic tags
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