Data from: Multiomics inform invasion risks under global climate change

Global climate change is exacerbating biological invasions; however, the
roles of genomic and epigenomic variations and their interactions in
future climate adaptation remain underexplored. Using the model invasive
ascidian Botryllus schlosseri across the Northern Hemisphere, we
investigated genomic and epigenomic responses to future climates and
developed a framework to assess future invasion risks. We employed
generalized dissimilarity modeling and gradient forest analyses to assess
genomic and epigenomic offsets under climate change. Our results showed
that populations with genomic maladaptation did not geographically overlap
with those experiencing epigenomic maladaptation, suggesting that genomic
and epigenomic variations play complementary roles in adaptation to future
climate conditions. By integrating genomic and epigenomic offsets into the
genome-epigenomic index, we predicted that populations with lower index
values were less maladapted, indicating a higher risk of future invasions.
Native populations exhibited lower offsets than invasive populations,
suggesting greater adaptive potentials and higher invasion risks under
future climate change scenarios. These results highlight the importance of
incorporating multiomics data into predictive models to study future
climate (mal)adaptation and assess invasion risks under global climate
change.