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

Kara Layton* (Corresponding Author), IR Bradbury

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)
5 Downloads (Pure)

Abstract

Predicting how species will respond to future climate change is of central importance in the midst of the global biodiversity crisis, and recent work has demonstrated the utility of population genomics for improving these predictions.
Here, we suggest a broadening of the approach to include other types of genomic variants that play an important role in adaptation, like structural (e.g. copy number variants) and epigenetic variants (e.g. DNA methylation). These data could provide additional power for forecasting response, especially in weakly structured or panmictic species.
Incorporating structural and epigenetic variation into estimates of climate change vulnerability, or maladaptation, may not only improve prediction power but also provide insight into the molecular mechanisms underpinning species’ response to climate change.
Original languageEnglish
Pages (from-to)1064-1072
Number of pages9
JournalJournal of Animal Ecology
Volume91
Issue number6
Early online date8 Nov 2021
DOIs
Publication statusPublished - 1 Jun 2022

Bibliographical note

Acknowledgements
We thank two anonymous reviewers for their helpful revisionary suggestions on earlier versions of this manuscript.

Data Availability Statement

Data Availability Statement
Data used in Figure 1 are available in Supplementary File S1 and in the Data Sources section. Data used in Figure 2 are available at the Dryad Digital Repository from Layton et al. (2021b) (https://doi.org/10.5061/dryad.8sf7m0ckd). Data used in Figure 3 are available in table S1 from Anastasiadi et al. (2021).

Supporting Information
Additional supporting information may be found in the online version of the article at the publisher’s website.

Keywords

  • forecasting
  • genomic offset
  • structural variation
  • epigenetic variation
  • panmixia

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