Abstract
While developmental plasticity helps organisms to maintain fitness as environments change, such plasticity has limits. When novel environments exceed these limits and mean fitness declines, the extent of decline is expected to vary among genotypes, which could increase adaptive potential. We lack fundamental insights into whether genetic variation in early development is linked to adaptive potential in novel environments, which limits our ability to predict how natural populations will respond to global change. Using a breeding design, we generated c. 20,000 seeds of 2 ecologically contrasting Sicilian species of daisies (Senecio, Asteraceae) adapted to high and low elevations on Mount Etna. We planted the seeds across 4 elevations that included elevations within the native range of each species, the edge of their range, and a novel elevation. We tracked seedling mortality and measured development time as the number of days it took seedlings to establish. As predicted, genetic variance in survival increased at novel elevations, suggesting that adaptive potential consistently increases for contrasting species facing different novel environments. However, genetic variance in development time showed the opposite trend, decreasing at novel elevations. A strong negative genetic correlation between development time in the native range and survival at novel elevations suggested that genotypes with faster development in native environments survived better in novel environments. These results were consistent across the two ecologically contrasting species, suggesting that genetic variance in early development in native environments could be used to predict genotypes that increase adaptive potential in novel environments.
| Original language | English |
|---|---|
| Article number | qrag012 |
| Pages (from-to) | 301-314 |
| Number of pages | 14 |
| Journal | Evolution Letters |
| Volume | 10 |
| Issue number | 3 |
| Early online date | 2 Apr 2026 |
| DOIs | |
| Publication status | Published - 30 Jun 2026 |
Data Availability Statement
Data are available at https://doi.org/10.5061/dryad.k6djh9wdf. Codes to run all analyses are located at https://osf.io/m5u9f.Acknowledgements
We thank two reviewers whose insightful comments helped us to greatly improve this work. We also thank Luke Yates for discussions about the statistical approach. We are very grateful to Piante Faro (Giarre, Italy) for providing us with glasshouse facilities. We thank Giuseppe Riggio for generously providing us access to the 1,000-m field site. This work was carried out using the computational facilities of the Advanced Computing Research Centre, University of Bristol.Funding
This work was supported by joint NERC grants NE/P001793/1 and NE/P002145/1 awarded to J.B. and S.J.H. G.M.W. was supported by Australian Research Council fellowships DE200101019 and FT240100466.
Keywords
- additive genetic variance
- development costs
- early life history
- genotype-by-environment interactions
- novel environments
- selection gradient
ASJC Scopus subject areas
- Ecology, Evolution, Behavior and Systematics
- Genetics
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