Transcriptomics, proteomics, and metabolomics interventions prompt crop improvement against metal(loid) toxicity

Area of Science:

• Environmental Science
• Plant Biology
• Biotechnology

Background:

• Metal(loid) toxicity in agricultural soils poses a significant threat to crop productivity and global food security.
• Climate change and human activities exacerbate soil contamination, impacting ecosystems and human health.
• Plants possess intricate defense mechanisms against metal(loid) stress, crucial for adaptation.

Purpose of the Study:

• To review plant strategies for adapting to metal(loid) toxicity.
• To explore the application of omics technologies in understanding plant stress responses.
• To highlight the potential of omics and bioinformatics for developing resilient crops.

Main Methods:

• Transcriptomics, proteomics, and metabolomics studies to identify genes, proteins, and metabolites involved in metal(loid) stress.
• Bioinformatics, biological databases, and analytical pipelines for data integration and genotype-to-phenotype mapping.
• Integration of omics data with artificial intelligence and high-throughput phenotyping.

Main Results:

• Omics approaches reveal key molecular players in plant metal(loid) stress response and tolerance.
• Identified candidates offer potential for breeding crops with enhanced metal(loid) resistance.
• Computational tools facilitate comprehensive analysis of complex omics datasets.

Conclusions:

• Omics technologies are transformative tools for unraveling plant adaptation to metal(loid) toxicity.
• Integration of omics, AI, and phenotyping accelerates the development of sustainable, resilient crops.
• Future research should focus on leveraging these advances for food security in contaminated environments.