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A novel analytical framework to quantify co-gradient and countergradient variation.

Molly A Albecker1, Geoffrey C Trussell1, Katie E Lotterhos1

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Summary
This summary is machine-generated.

We developed a new method to quantify spatial covariance (CovGE), showing how it influences local adaptation. This framework helps understand how genotypes distribute across environments, impacting species

Keywords:
adaptive plasticitycogradient variationcountergradient variationcovariance between genotype and environmentgenetic-by-environment interactionslocal adaptationmaladaptive plasticitynonadaptive plasticity

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Area of Science:

  • Ecology
  • Evolutionary Biology
  • Quantitative Genetics

Background:

  • Spatial covariance (CovGE) between genotypic and environmental influences on phenotypes can drive local adaptation.
  • A quantitative framework to assess CovGE has been lacking.
  • Understanding CovGE is crucial for predicting species' responses to environmental change.

Purpose of the Study:

  • To develop and validate a novel quantitative/analytical approach to estimate and test the significance of CovGE.
  • To investigate the relationship between gene-by-environment interactions (GxE) and CovGE.
  • To measure how phenotypic plasticity covaries with genetic differentiation.

Main Methods:

  • Developed a novel quantitative/analytical approach.
  • Validated the approach using simulated data.
  • Applied the method to reciprocal transplant or common garden experiments.

Main Results:

  • Confirmed an inverse relationship between GxE and CovGE.
  • Demonstrated that phenotypes can be influenced by both GxE and CovGE.
  • Showed how the power to detect CovGE varies with experimental design.

Conclusions:

  • The developed metric quantifies CovGE, providing insights into local adaptation.
  • Highlights the importance of considering both CovGE and GxE in evolutionary studies.
  • Offers a tool for measuring the covariation of phenotypic plasticity and genetic differentiation.