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A General Framework for the Analysis of Phenotypic Trajectories in Evolutionary Studies

Many evolutionary studies require an understanding of phenotypic change. However, while analyses of phenotypic variation across pairs of evolutionary levels (populations or time steps) are well established, methods for testing hypotheses that compare evolutionary sequences across multiple levels are... Full description

Journal Title: Evolution 2009-05, Vol.63 (5), p.1143-1154
Main Author: Adams, Dean C
Other Authors: Collyer, Michael L
Format: Electronic Article Electronic Article
Language: English
Subjects:
Publisher: Malden, USA: Wiley/Blackwell
ID: ISSN: 0014-3820
Link: https://www.ncbi.nlm.nih.gov/pubmed/19210539
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recordid: cdi_proquest_miscellaneous_67197105
title: A General Framework for the Analysis of Phenotypic Trajectories in Evolutionary Studies
format: Article
creator:
  • Adams, Dean C
  • Collyer, Michael L
subjects:
  • Adaptation, Physiological
  • Adaptive diversification
  • Analysis
  • Animals
  • Biological Evolution
  • Convergent evolution
  • Developmental biology
  • Divergent evolution
  • Ecological genetics
  • Ecology
  • Evolution
  • Evolution & development
  • Fossils
  • Genetic Speciation
  • Genetic Variation
  • Genetic vectors
  • Genotype & phenotype
  • Geometric shapes
  • Models, Genetic
  • morphological evolution
  • ontogeny
  • ORIGINAL ARTICLES
  • Phenotype
  • Phenotypes
  • phenotypic change
  • phenotypic plasticity
  • Phylogeny
  • residual randomization
  • Taxa
  • Taxonomy
  • Trajectories
ispartof: Evolution, 2009-05, Vol.63 (5), p.1143-1154
description: Many evolutionary studies require an understanding of phenotypic change. However, while analyses of phenotypic variation across pairs of evolutionary levels (populations or time steps) are well established, methods for testing hypotheses that compare evolutionary sequences across multiple levels are less developed. Here we describe a general analytical procedure for quantifying and comparing patterns of phenotypic evolution. The phenotypic evolution of a lineage is defined as a trajectory across a set of evolutionary levels in a multivariate phenotype space. Attributes of these trajectories (their size, direction, and shape), are quantified, and statistically compared across pairs of taxa, and a summary statistic is used to determine the extent to which patterns of phenotypic evolution are concordant across multiple taxa. This approach provides a direct quantitative description of how patterns of phenotypic evolution differ, as well as a statistical assessment of the degree of repeatability in the evolutionary responses to selection among taxa. We describe how this approach can quantify phenotypic trajectories from many ecological and evolutionary processes, whose data encode multivariate characterizations of the phenotype, including: phenotypic plasticity, ecological selection, ontogeny and growth, local adaptation, and biomechanics. We illustrate the approach by examining the phenotypic evolution of several fossil lineages of Globorotalia.
language: eng
source:
identifier: ISSN: 0014-3820
fulltext: no_fulltext
issn:
  • 0014-3820
  • 1558-5646
url: Link


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descriptionMany evolutionary studies require an understanding of phenotypic change. However, while analyses of phenotypic variation across pairs of evolutionary levels (populations or time steps) are well established, methods for testing hypotheses that compare evolutionary sequences across multiple levels are less developed. Here we describe a general analytical procedure for quantifying and comparing patterns of phenotypic evolution. The phenotypic evolution of a lineage is defined as a trajectory across a set of evolutionary levels in a multivariate phenotype space. Attributes of these trajectories (their size, direction, and shape), are quantified, and statistically compared across pairs of taxa, and a summary statistic is used to determine the extent to which patterns of phenotypic evolution are concordant across multiple taxa. This approach provides a direct quantitative description of how patterns of phenotypic evolution differ, as well as a statistical assessment of the degree of repeatability in the evolutionary responses to selection among taxa. We describe how this approach can quantify phenotypic trajectories from many ecological and evolutionary processes, whose data encode multivariate characterizations of the phenotype, including: phenotypic plasticity, ecological selection, ontogeny and growth, local adaptation, and biomechanics. We illustrate the approach by examining the phenotypic evolution of several fossil lineages of Globorotalia.
editionReceived July 22, 2008Accepted January 22, 2009
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subjectAdaptation, Physiological ; Adaptive diversification ; Analysis ; Animals ; Biological Evolution ; Convergent evolution ; Developmental biology ; Divergent evolution ; Ecological genetics ; Ecology ; Evolution ; Evolution & development ; Fossils ; Genetic Speciation ; Genetic Variation ; Genetic vectors ; Genotype & phenotype ; Geometric shapes ; Models, Genetic ; morphological evolution ; ontogeny ; ORIGINAL ARTICLES ; Phenotype ; Phenotypes ; phenotypic change ; phenotypic plasticity ; Phylogeny ; residual randomization ; Taxa ; Taxonomy ; Trajectories
ispartofEvolution, 2009-05, Vol.63 (5), p.1143-1154
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abstractMany evolutionary studies require an understanding of phenotypic change. However, while analyses of phenotypic variation across pairs of evolutionary levels (populations or time steps) are well established, methods for testing hypotheses that compare evolutionary sequences across multiple levels are less developed. Here we describe a general analytical procedure for quantifying and comparing patterns of phenotypic evolution. The phenotypic evolution of a lineage is defined as a trajectory across a set of evolutionary levels in a multivariate phenotype space. Attributes of these trajectories (their size, direction, and shape), are quantified, and statistically compared across pairs of taxa, and a summary statistic is used to determine the extent to which patterns of phenotypic evolution are concordant across multiple taxa. This approach provides a direct quantitative description of how patterns of phenotypic evolution differ, as well as a statistical assessment of the degree of repeatability in the evolutionary responses to selection among taxa. We describe how this approach can quantify phenotypic trajectories from many ecological and evolutionary processes, whose data encode multivariate characterizations of the phenotype, including: phenotypic plasticity, ecological selection, ontogeny and growth, local adaptation, and biomechanics. We illustrate the approach by examining the phenotypic evolution of several fossil lineages of Globorotalia.
copMalden, USA
pubWiley/Blackwell
pmid19210539
doi10.1111/j.1558-5646.2009.00649.x
tpages12
editionReceived July 22, 2008Accepted January 22, 2009