Literature DB >> 28565714

TRANSLATING BETWEEN MICROEVOLUTIONARY PROCESS AND MACROEVOLUTIONARY PATTERNS: THE CORRELATION STRUCTURE OF INTERSPECIFIC DATA.

Thomas F Hansen1, Emília P Martins2.   

Abstract

As species evolve along a phylogenetic tree, we expect closely related species to retain some phenotypic similarities due to their shared evolutionary histories. The amount of expected similarity depends both on the hierarchical phylogenetic structure, and on the specific magnitude and types of evolutionary changes that accumulate during each generation. In this study, we show how models of microevolutionary change can be translated into the resulting macroevolutionary patterns. We illustrate how the structure of phenotypic covariances expected in interspecific measurements can be derived, and how this structure depends on the microevolutionary forces guiding phenotypic change at each generation. We then explore the covariance structure expected from several simple microevolutionary models of phenotypic evolution, including various combinations of random genetic drift, directional selection, stabilizing selection, and environmental change, as well as models of punctuated or burst-like evolution. We find that stabilizing selection leads to patterns of exponential decrease of between species covariance with phylogenetic distance. This is different from the usual linear patterns of decrease assumed in most comparative and systematic methods. Nevertheless, linear patterns of decrease can result from many processes in addition to random genetic drift, such as directional and fluctuating selection as well as modes of punctuated change. Our framework can be used to develop methods for (1) phylogenetic reconstruction; (2) inference of the evolutionary process from comparative data; and (3) conducting or evaluating statistical analyses of comparative data while taking phylogenetic history into account. © 1996 The Society for the Study of Evolution.

Keywords:  Comparative method; evolution; phylogenetic analysis; population genetics; quantitative genetics; systematics

Year:  1996        PMID: 28565714     DOI: 10.1111/j.1558-5646.1996.tb03914.x

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


  49 in total

1.  Evolution of thermotolerance in hot spring cyanobacteria of the genus Synechococcus.

Authors:  S R Miller; R W Castenholz
Journal:  Appl Environ Microbiol       Date:  2000-10       Impact factor: 4.792

2.  Variation in sulfide tolerance of photosystem II in phylogenetically diverse cyanobacteria from sulfidic habitats.

Authors:  Scott R Miller; Brad M Bebout
Journal:  Appl Environ Microbiol       Date:  2004-02       Impact factor: 4.792

Review 3.  Evolution of osmoregulatory patterns and gill ion transport mechanisms in the decapod Crustacea: a review.

Authors:  John Campbell McNamara; Samuel Coelho Faria
Journal:  J Comp Physiol B       Date:  2012-04-26       Impact factor: 2.200

4.  MIPoD: a hypothesis-testing framework for microevolutionary inference from patterns of divergence.

Authors:  Paul A Hohenlohe; Stevan J Arnold
Journal:  Am Nat       Date:  2008-03       Impact factor: 3.926

5.  Information geometry for phylogenetic trees.

Authors:  M K Garba; T M W Nye; J Lueg; S F Huckemann
Journal:  J Math Biol       Date:  2021-02-15       Impact factor: 2.259

6.  Mutation predicts 40 million years of fly wing evolution.

Authors:  David Houle; Geir H Bolstad; Kim van der Linde; Thomas F Hansen
Journal:  Nature       Date:  2017-08-09       Impact factor: 49.962

7.  Accelerated body size evolution during cold climatic periods in the Cenozoic.

Authors:  Julien Clavel; Hélène Morlon
Journal:  Proc Natl Acad Sci U S A       Date:  2017-04-03       Impact factor: 11.205

8.  A Relaxed Directional Random Walk Model for Phylogenetic Trait Evolution.

Authors:  Mandev S Gill; Lam Si Tung Ho; Guy Baele; Philippe Lemey; Marc A Suchard
Journal:  Syst Biol       Date:  2017-05-01       Impact factor: 15.683

9.  Habitat use affects morphological diversification in dragon lizards.

Authors:  D C Collar; J A Schulte; B C O'Meara; J B Losos
Journal:  J Evol Biol       Date:  2010-03-24       Impact factor: 2.411

10.  Using phylogenetic, functional and trait diversity to understand patterns of plant community productivity.

Authors:  Marc W Cadotte; Jeannine Cavender-Bares; David Tilman; Todd H Oakley
Journal:  PLoS One       Date:  2009-05-27       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.