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Multi-Omics Inform Invasion Risks Under Global Climate Change.

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This summary is machine-generated.

Genomic and epigenomic variations play complementary roles in species adaptation to climate change. Integrating these multi-omics data into predictive models helps assess future biological invasion risks.

Keywords:
(epi)genomic offset(epi)genomic variationadaptive potentialclimate (mal)adaptationclimate changegenome–epigenomic indexinvasion risk

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Area of Science:

  • Ecology
  • Evolutionary Biology
  • Genetics

Background:

  • Global climate change intensifies biological invasions.
  • The roles of genomic and epigenomic variations in adaptation to climate change are not fully understood.

Purpose of the Study:

  • Investigate genomic and epigenomic responses to future climates in the invasive ascidian *Botryllus schlosseri*.
  • Develop a framework to assess future invasion risks by integrating multi-omics data.

Main Methods:

  • Utilized generalized dissimilarity modeling and gradient forest analyses.
  • Assessed genomic and epigenomic offsets under projected climate change scenarios.
  • Developed a genome-epigenomic index to predict invasion risk.

Main Results:

  • Genomic and epigenomic maladaptation occurred in distinct populations, indicating complementary roles in adaptation.
  • Lower genome-epigenomic index values correlated with higher future invasion risk.
  • Native populations showed lower offsets than invasive ones, suggesting greater adaptive potential and higher invasion risk.

Conclusions:

  • Multi-omics data integration is crucial for accurate prediction of climate (mal)adaptation.
  • The developed framework enhances the assessment of biological invasion risks under climate change.
  • Understanding genomic and epigenomic contributions is key to managing invasive species in a changing climate.