Literature DB >> 18205782

Phenotypic integration and conserved covariance structure in calopterygid damselflies.

F Eroukhmanoff1, E I Svensson.   

Abstract

By comparing the phenotypic (P) variance-covariance matrices between closely related taxa or conspecific populations, one can study the outcome of the interplay between selection and developmental constraints in phenotypic evolution. Shared patterns of phenotypic integration are also of interest and might result from similarities in either selection or developmental pathways. We compared P-matrices and phenotypic integration indices between populations and species of the damselfly genus Calopteryx. P(max)-comparisons between parapatric C. splendens populations revealed stronger conserved phenotypic covariance structure than P(max)-comparisons between species, suggesting that divergence in its early stages proceeds along phenotypic lines of least resistance. Within- and among-population correlations in C. splendens were highly concordant, in further support of initial divergence along P(max). Despite some similarities in overall phenotypic integration between C. splendens and C. virgo, these two species only had several P-matrix eigenvectors in common, indicating that after reproductive isolation, divergence has proceeded against P(max).

Entities:  

Mesh:

Year:  2008        PMID: 18205782     DOI: 10.1111/j.1420-9101.2007.01488.x

Source DB:  PubMed          Journal:  J Evol Biol        ISSN: 1010-061X            Impact factor:   2.411


  4 in total

1.  The modular organization of roe deer (Capreolus capreolus) body during ontogeny: the effects of sex and habitat.

Authors:  Svetlana Milošević-Zlatanović; Tanja Vukov; Srđan Stamenković; Marija Jovanović; Nataša Tomašević Kolarov
Journal:  Front Zool       Date:  2018-09-27       Impact factor: 3.172

2.  Contemporary parallel diversification, antipredator adaptations and phenotypic integration in an aquatic isopod.

Authors:  Fabrice Eroukhmanoff; Erik I Svensson
Journal:  PLoS One       Date:  2009-07-09       Impact factor: 3.240

3.  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

4.  How much can the orientation of G's eigenvectors tell us about genetic constraints?

Authors:  Daniel Berner
Journal:  Ecol Evol       Date:  2012-07-04       Impact factor: 2.912

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.