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Genetics and evolution of function-valued traits: understanding environmentally responsive phenotypes

  • John R Stinchcombe
  • , Jay Beder
  • , Eladio Marquez
  • , J Stephen Marron
  • , Karin Meyer
  • , Washington Mio
  • , Johanna Schmitt
  • , Fang Yao
  • , Patrick A Carter
  • , George W Gilchrist
  • , Daniel Gervini
  • , Richard Gomulkiewicz
  • , Benedikt Hallgrimsson
  • , Nancy Heckman
  • , David Houle
  • , Joel G Kingsolver

Research output: Contribution to journalArticlepeer-review

166 Citations (Scopus)

Abstract

Many central questions in ecology and evolutionary biology require characterizing phenotypes that change with time and environmental conditions. Such traits are inherently functions, and new 'function-valued' methods use the order, spacing, and functional nature of the data typically ignored by traditional univariate and multivariate analyses. These rapidly developing methods account for the continuous change in traits of interest in response to other variables, and are superior to traditional summary-based analyses for growth trajectories, morphological shapes, and environmentally sensitive phenotypes. Here, we explain how function-valued methods make flexible use of data and lead to new biological insights. These approaches frequently offer enhanced statistical power, a natural basis of interpretation, and are applicable to many existing data sets. We also illustrate applications of function-valued methods to address ecological, evolutionary, and behavioral hypotheses, and highlight future directions.
Original languageEnglish
Pages (from-to)637-647
JournalTrends in Ecology & Evolution
Volume27
Issue number11
DOIs
Publication statusPublished - 2012

Keywords

  • Evolutionary Biology
  • Quantitative Genetics (incl Disease and Trait Mapping Genetics)

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