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Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
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Positive interactions within and between populations decrease the likelihood of evolutionary rescue.

Yaron Goldberg1, Jonathan Friedman1

  • 1Department of Plant Pathology and Microbiology, The Hebrew University of Jerusalem, Rehovot, Israel.

Plos Computational Biology
|February 18, 2021
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Summary
This summary is machine-generated.

Positive interactions like cooperation and mutualism can hinder species

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Area of Science:

  • Ecology
  • Evolutionary Biology
  • Theoretical Biology

Background:

  • Positive interactions, including cooperation and mutualism, shape ecosystems.
  • The impact of these interactions on species' adaptation to new environments is understudied.

Purpose of the Study:

  • To investigate how positive interactions affect evolutionary rescue.
  • To understand the influence of cooperation and mutualism on population survival during environmental change.

Main Methods:

  • Numerical simulations
  • Theoretical analyses

Main Results:

  • Positive interactions significantly reduce the probability of evolutionary rescue.
  • Cooperating populations require mutants to spread before population decline.
  • Mutualistic populations face additional challenges from partner adaptation and interspecies competition.
  • Cheaters further decrease rescue likelihood, making it extremely rare.

Conclusions:

  • Positive interactions, beneficial in stable environments, can impede adaptation to environmental change, increasing collapse risk.
  • These findings may explain the evolution of multicellularity and phenotypic differentiation in early life.