Harnessing the power of multi-omics data for predicting climate change response

Area of Science:

• Ecology and evolutionary biology
• Genomics
• Conservation science

Background:

• Climate change poses a significant threat to biodiversity.
• Population genomics aids in predicting species' responses to environmental change.
• Current genomic approaches may not capture the full picture of adaptation.

Purpose of the Study:

• To propose expanding population genomics to include structural and epigenetic variants for improved climate change adaptation predictions.
• To investigate how these additional genomic data can enhance forecasting of species' vulnerability.
• To gain insights into the molecular mechanisms of climate change response.

Main Methods:

• Review and synthesis of existing population genomics and adaptation literature.
• Conceptual framework for integrating structural variants (e.g., copy number variants) and epigenetic variants (e.g., DNA methylation) into predictive models.
• Discussion of potential applications in conservation biology.

Main Results:

• Structural and epigenetic variants are crucial for adaptation.
• These variants can improve predictions, especially in species with weak population structure.
• Integrating these variants offers deeper insights into adaptive mechanisms.

Conclusions:

• A broader genomic approach, including structural and epigenetic variation, is essential for accurate climate change vulnerability assessments.
• This expanded approach will enhance predictive power and mechanistic understanding of species' adaptive responses.
• This is critical for effective biodiversity conservation in a changing climate.