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Disease-driven top predator decline affects mesopredator population genomic structure.

Marc A Beer1, Kirstin M Proft2, Anne Veillet3

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|January 9, 2024
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The decline of Tasmania's top predator, the Tasmanian devil, is driving genetic changes in spotted-tailed quolls. This predator-prey interaction impacts quoll evolution and genetic diversity.

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Area of Science:

  • Ecology
  • Evolutionary Biology
  • Genomics

Background:

  • Top predator declines significantly impact ecosystems, but their evolutionary effects are poorly understood.
  • Tasmanian devils, the island's apex predator, are declining due to a transmissible cancer.
  • Spotted-tailed quolls, as mesopredators, experience population changes and behavioral shifts following devil declines.

Purpose of the Study:

  • To investigate the evolutionary consequences of top predator decline on mesopredator populations.
  • To identify environmental and biotic factors shaping the genomic structure and selection signatures in spotted-tailed quolls.
  • To explore the role of interspecific competition in driving evolutionary change within a trophic cascade.

Main Methods:

  • Utilized a landscape community genomics framework to analyze population genomic structure.
  • Identified environmental and biotic variables influencing genomic variation and selection.
  • Correlated landscape resistance and devil density with genetic subdivision and selection signatures in quolls.

Main Results:

  • Biotic factors, particularly devil density, were key drivers of spotted-tailed quoll genomic structure.
  • Devil declines are predicted to increase genetic subdivision in quoll populations over time.
  • Signatures of selection were detected in the quoll genome, linked to genes for muscle development and locomotion, influenced by devil presence.

Conclusions:

  • Provides novel evidence for the evolutionary impacts of top predator-mesopredator interactions in a trophic cascade.
  • Demonstrates that ecological changes driven by apex predator loss can induce rapid evolutionary responses in subordinate species.
  • The study's framework can serve as a model for assessing evolutionary impacts of altered ecological interactions globally.