Evidence map›Paper›PMID 24728003›Full record

ArticlePloS one2014

Assessing trait covariation and morphological integration on phylogenies using evolutionary covariance matrices.

Dean C Adams, Ryan N Felice

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Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

65 citing papers in PubMed.

  1. Review
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  6. Cranial modularity drives phenotypic diversification and adaptive radiation of Antarctic icefishes.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  17. Protein-lipid Association in Lizard Chemical Signals.Integrative organismal biology (Oxford, England) · 2023
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  20. Article

5 more citing papers are in PubMed but not listed here.

4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Dean C AdamsDepartment of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, Iowa, United States of America.
Ryan N FeliceDepartment of Biological Sciences, Ohio University, Athens, Ohio, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Morphological integration describes the degree to which sets of organismal traits covary with one another. Morphological covariation may be evaluated at various levels of biological organization, but when characterizing such patterns across species at the macroevolutionary level, phylogeny must be taken into account. We outline an analytical procedure based on the evolutionary covariance matrix that allows species-level patterns of morphological integration among structures defined by sets of traits to be evaluated while accounting for the phylogenetic relationships among taxa, providing a flexible and robust complement to related phylogenetic independent contrasts based approaches. Using computer simulations under a Brownian motion model we show that statistical tests based on the approach display appropriate Type I error rates and high statistical power for detecting known levels of integration, and these trends remain consistent for simulations using different numbers of species, and for simulations that differ in the number of trait dimensions. Thus, our procedure provides a useful means of testing hypotheses of morphological integration in a phylogenetic context. We illustrate the utility of this approach by evaluating evolutionary patterns of morphological integration in head shape for a lineage of Plethodon salamanders, and find significant integration between cranial shape and mandible shape. Finally, computer code written in R for implementing the procedure is provided.

Indexed as

PhylogenyQuantitative Trait, HeritableAnimalsCaudataStatistics as Topic

Identifiers

PMID24728003
PMCPMC3984176

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.