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Testing the predictability of morphological evolution in contrasting thermal environments.

Natalie Pilakouta1,2, Joseph L Humble1, Iain D C Hill1,3

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Predicting population responses to climate change is crucial. This study shows divergent evolution in wild stickleback fish from contrasting thermal environments offers enhanced predictive power for climate change impacts.

Keywords:
Gasterosteus aculeatusclimate changecontemporary evolutiongeometric morphometricsparallel evolutionsympatric divergence

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Area of Science:

  • Evolutionary Biology
  • Climate Change Ecology

Background:

  • Predicting population responses to climate change is a significant scientific challenge.
  • Divergent evolution in natural populations offers a potential avenue for enhanced predictive power.

Purpose of the Study:

  • To investigate morphological divergence in threespine stickleback populations from contrasting geothermal and ambient thermal environments in Iceland.
  • To assess the heritability of these divergent traits and factors influencing evolutionary patterns.

Main Methods:

  • Utilized a natural experiment comparing wild threespine stickleback (Gasterosteus aculeatus) populations from geothermally heated and ambient freshwater habitats.
  • Focused on key morphological traits and employed common garden experiments to determine heritability.
  • Analyzed the influence of population age and habitat sympatry/allopatry on divergence.

Main Results:

  • Fish from warm habitats exhibited deeper mid-bodies, subterminal jaws, steeper craniofacial profiles, and deeper caudal regions compared to those from cold habitats.
  • Common garden experiments confirmed that most observed morphological differences were heritable.
  • Similar divergence patterns were more common in allopatric populations than sympatric ones.

Conclusions:

  • Morphological divergence in response to thermal gradients is predictable to some extent, even when complex and multivariate.
  • Migration between thermal habitats can increase nonparallel evolution, potentially hindering predictions of climate change responses.