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Cryptic genetic variation in natural populations: a predictive framework.

Cris C Ledón-Rettig1, David W Pfennig2, Amanda J Chunco2

  • 1*Department of Biology, Indiana University, Bloomington, IN 47405, USA; Department of Biology, University of North Carolina, Chapel Hill, NC 27599, USA; Department of Environmental Studies, Elon University, Elon, NC 27244, USA; Program in Ecology, Evolutionary Biology and Behavior and Department of Zoology, Michigan State University, East Lansing, MI 48824, USA cristinacaitlin@gmail.com.

Integrative and Comparative Biology
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Summary
This summary is machine-generated.

Environmental changes can reveal hidden genetic variations, aiding population adaptation. Understanding cryptic genetic variation and its influencing factors is key to predicting population resilience to environmental shifts.

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Area of Science:

  • Evolutionary Biology
  • Population Genetics
  • Ecology

Background:

  • Rapid environmental change necessitates understanding population adaptive potential.
  • Hidden (cryptic) genetic variation can be released under stress, providing raw material for adaptation.
  • A balance exists between adaptive and deleterious cryptic genetic variants.

Purpose of the Study:

  • To explore how population and environmental factors influence cryptic genetic variation.
  • To outline methods for measuring cryptic genetic variation in natural populations.
  • To identify natural systems for studying cryptic genetic variation dynamics.

Main Methods:

  • Review of factors influencing cryptic genetic variation (e.g., population size, selection history).
  • Discussion of methods for quantifying cryptic genetic variation in natural populations.
  • Proposal of a natural system for empirical testing.

Main Results:

  • Population and environmental parameters shape the amount and phenotypic effects of cryptic genetic variation.
  • The distribution of cryptic variation influences its adaptive or maladaptive potential during environmental change.
  • Specific approaches for measurement in natural populations are presented.

Conclusions:

  • Understanding cryptic genetic variation is crucial for predicting population responses to environmental change.
  • Population and environmental parameters are key determinants of cryptic genetic variation.
  • Further research in natural systems is needed to validate these concepts.