Literature DB >> 28565361

PHYLOGENETIC ANALYSIS OF PHENOTYPIC COVARIANCE STRUCTURE. II. RECONSTRUCTING MATRIX EVOLUTION.

Scott J Steppan1,2.   

Abstract

A modified minimum evolution approach is used to estimate covariance matrices for hypothetical ancestors. Branch lengths are calculated as the mean disparity in corresponding ancestor-descendent covariances. Branches are longest leading to terminal populations and subspecies, while interspecific branches are relatively short, indicating a general conservation of covariance structure among species despite a high degree of intraspecific variability. Absolute deviations in covariance structure are not correlated with phenotypic divergence. Interpreted in light of other studies, the analyses suggest that deviations in covariance structure are most strongly associated with the formation of diagnosably distinct taxa and stochastic sampling of genotypes at the population level. There is no evidence for restructuring of phenotypic covariance structure in association with reproductive isolation. The results suggest that phenotypic covariances are dynamic over short time scales and do not support attempts to extrapolate genetic covariance structure to explain or predict macroevolutionary change. This study further demonstrates that branch lengths, which are not usually analyzed in detail, contain valuable evolutionary information complementary to that residing in the branching pattern. © 1997 The Society for the Study of Evolution.

Keywords:  Comparative method; Phyllotis; cranial morphology; macroevolution; minimum evolution; phenotypic covariance structure; quantitative genetics

Year:  1997        PMID: 28565361     DOI: 10.1111/j.1558-5646.1997.tb02445.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  5 in total

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2.  Conspecific density determines the magnitude and character of predator-induced phenotype.

Authors:  Michael W McCoy
Journal:  Oecologia       Date:  2007-07-17       Impact factor: 3.225

3.  Connecting QTLS to the g-matrix of evolutionary quantitative genetics.

Authors:  John K Kelly
Journal:  Evolution       Date:  2008-12-12       Impact factor: 3.694

4.  Phylogeny, diet, and cranial integration in australodelphian marsupials.

Authors:  Anjali Goswami
Journal:  PLoS One       Date:  2007-10-03       Impact factor: 3.240

5.  Morphological diversity and the roles of contingency, chance and determinism in african cichlid radiations.

Authors:  Kyle A Young; Jos Snoeks; Ole Seehausen
Journal:  PLoS One       Date:  2009-03-09       Impact factor: 3.240

  5 in total

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