Predicting patterns of long-term adaptation and extinction with population genetics

J. Bertram, K. Gomez, J. Masel

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Population genetics struggles to model extinction; standard models track the relative rather than absolute fitness of genotypes, while the exceptions describe only the short-term transition from imminent doom to evolutionary rescue. But extinction can result from failure to adapt not only to catastrophes, but also to a backlog of environmental challenges. We model long-term adaptation to long series of small challenges, where fitter populations reach higher population sizes. The population's long-term fitness dynamic is well approximated by a simple stochastic Markov chain model. Long-term persistence occurs when the rate of adaptation exceeds the rate of environmental deterioration for some genotypes. Long-term persistence times are consistent with typical fossil species persistence times of several million years. Immediately preceding extinction, fitness declines rapidly, appearing as though a catastrophe disrupted a stably established population, even though gradual evolutionary processes are responsible. New populations go through an establishment phase where, despite being demographically viable, their extinction risk is elevated. Should the population survive long enough, extinction risk later becomes constant over time.

Original languageEnglish (US)
Pages (from-to)204-214
Number of pages11
JournalEvolution
Volume71
Issue number2
DOIs
StatePublished - Feb 1 2017

Keywords

  • Cost of selection
  • eco-evolutionary dynamics
  • genetic load
  • Red Queen
  • reverse-time Markov chain

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Genetics
  • Agricultural and Biological Sciences(all)

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