Abstract
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 language | English |
|---|---|
| Pages (from-to) | 1064-1072 |
| Number of pages | 9 |
| Journal | Journal of Animal Ecology |
| Volume | 91 |
| Issue number | 6 |
| Early online date | 8 Nov 2021 |
| DOIs | |
| Publication status | Published - 1 Jun 2022 |
Bibliographical note
AcknowledgementsWe thank two anonymous reviewers for their helpful revisionary suggestions on earlier versions of this manuscript.
Data Availability Statement
Data Availability StatementData 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
Access to Document
- Layton_etal_JAE_Harnessing_The_Power_AAM
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