Literature DB >> 16739462

The stability of P in coral reef fishes.

Edward T Game1, M Julian Caley.   

Abstract

The constancy of phenotypic variation and covariation is an assumption that underlies most recent investigations of past selective regimes and attempts to predict future responses to selection. Few studies have tested this assumption of constancy despite good reasons to expect that the pattern of phenotypic variation and covariation may vary in space and time. We compared phenotypic variance-covariance matrices (P) estimated for populations of six species of distantly related coral reef fishes sampled at two locations on Australia's Great Barrier Reef separated by more than 1000 km. The intraspecific similarity between these matrices was estimated using two methods: matrix correlation and common principal component analysis. Although there was no evidence of equality between pairs of P, both statistical approaches indicated a high degree of similarity in morphology between the two populations for each species. In general, the hierarchical decomposition of the variance-covariance structure of these populations indicated that all principal components of phenotypic variance-covariance were shared but that they differed in the degree of variation associated with each of these components. The consistency of this pattern is remarkable given the diversity of morphologies and life histories encompassed by these species. Although some phenotypic instability was indicated, these results were consistent with a generally conserved pattern of multivariate selection between populations.

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Year:  2006        PMID: 16739462

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


  3 in total

1.  Limited plasticity in the phenotypic variance-covariance matrix for male advertisement calls in the black field cricket, Teleogryllus commodus.

Authors:  W R Pitchers; R Brooks; M D Jennions; T Tregenza; I Dworkin; J Hunt
Journal:  J Evol Biol       Date:  2013-03-27       Impact factor: 2.411

2.  Phenotypic covariance at species' borders.

Authors:  M Julian Caley; Edward Cripps; Edward T Game
Journal:  BMC Evol Biol       Date:  2013-05-28       Impact factor: 3.260

3.  A simple procedure for the comparison of covariance matrices.

Authors:  Carlos Garcia
Journal:  BMC Evol Biol       Date:  2012-11-21       Impact factor: 3.260

  3 in total

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