Literature DB >> 25002694

Patterns of phenotypic correlations among morphological traits across plants and animals.

Jeffrey K Conner1, Idelle A Cooper2, Raffica J La Rosa2, Samuel G Pérez2, Anne M Royer2.   

Abstract

Despite the long-standing interest of biologists in patterns of correlation and phenotypic integration, little attention has been paid to patterns of correlation across a broad phylogenetic spectrum. We report analyses of mean phenotypic correlations among a variety of linear measurements from a wide diversity of plants and animals, addressing questions about function, development, integration and modularity. These analyses suggest that vertebrates, hemimetabolous insects and vegetative traits in plants have similar mean correlations, around 0.5. Traits of holometabolous insects are much more highly correlated, with a mean correlation of 0.84; this may be due to developmental homeostasis caused by lower spatial and temporal environmental variance during complete metamorphosis. The lowest mean correlations were those between floral and vegetative traits, consistent with Berg's ideas about functional independence between these modules. Within trait groups, the lowest mean correlations were among vertebrate head traits and floral traits (0.38-0.39). The former may be due to independence between skull modules. While there is little evidence for floral integration overall, certain sets of functionally related floral traits are highly integrated. A case study of the latter is described from wild radish flowers.
© 2014 The Author(s) Published by the Royal Society. All rights reserved.

Entities:  

Keywords:  complete metamorphosis; developmental homeostasis; floral integration; modularity; morphological integration; phenotypic correlations

Mesh:

Year:  2014        PMID: 25002694      PMCID: PMC4084534          DOI: 10.1098/rstb.2013.0246

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  17 in total

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Review 9.  Integrated phenotypes: understanding trait covariation in plants and animals.

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  10 in total

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