Literature DB >> 17926290

A general model of functional constraints on phenotypic evolution.

Jeffrey A Walker1.   

Abstract

A general model of the functional constraints on the rate and direction of phenotypic evolution is developed using a decomposition of the Lande-Arnold model of multivariate phenotypic evolution. The important feature of the model is the F matrix of performance coefficients reflecting the causal relationship between morphophysiological (m-p) and functional performance traits. The structure of F, which reflects the functional architecture of the organism, constrains the shape of the adaptive landscape and thus the rate and direction of m-p trait evolution. The rate of m-p trait evolution is a function of the pattern of coefficients in a row of F. The sums and variances of these rows are related to current concepts of evolvability. The direction of m-p trait evolution through m-p trait space is a function of the functional covariances among m-p traits. The functional covariance between a pair of m-p traits is a measure of how much the traits function together and is computed as the covariance between rows of F. Finally, it is shown that genetic covariances between m-p traits and performance traits are a function of the F matrix, but a G matrix that includes these covariances cannot be used to model functional constraints effectively.

Mesh:

Year:  2007        PMID: 17926290     DOI: 10.1086/521957

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  17 in total

1.  Biomechanical trade-offs bias rates of evolution in the feeding apparatus of fishes.

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Review 2.  Perspectives on the genetic architecture of divergence in body shape in sticklebacks.

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Journal:  Integr Comp Biol       Date:  2010-04-26       Impact factor: 3.326

3.  Parallel and nonparallel aspects of ecological, phenotypic, and genetic divergence across replicate population pairs of lake and stream stickleback.

Authors:  Renaud Kaeuffer; Catherine L Peichel; Daniel I Bolnick; Andrew P Hendry
Journal:  Evolution       Date:  2011-09-20       Impact factor: 3.694

4.  Mapping QTLs for swimming ability related traits in Cyprinus carpio L.

Authors:  Muhammad Younis Laghari; Punhal Lashari; Xiaofeng Zhang; Peng Xu; Naeem Tariq Narejo; Yongxin Liu; Shahid Mehboob; K Al-Ghanim; Yan Zhang; Xiaowen Sun
Journal:  Mar Biotechnol (NY)       Date:  2014-07-02       Impact factor: 3.619

Review 5.  Genetic approaches in comparative and evolutionary physiology.

Authors:  Jay F Storz; Jamie T Bridgham; Scott A Kelly; Theodore Garland
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2015-06-03       Impact factor: 3.619

6.  Mechanical sensitivity and the dynamics of evolutionary rate shifts in biomechanical systems.

Authors:  Martha M Muñoz; Philip S L Anderson; S N Patek
Journal:  Proc Biol Sci       Date:  2017-01-25       Impact factor: 5.349

7.  High morphological variation of vestibular system accompanies slow and infrequent locomotion in three-toed sloths.

Authors:  Guillaume Billet; Lionel Hautier; Robert J Asher; Cathrin Schwarz; Nick Crumpton; Thomas Martin; Irina Ruf
Journal:  Proc Biol Sci       Date:  2012-08-01       Impact factor: 5.349

8.  "On the Fence" versus "All in": Insights from Turtles for the Evolution of Aquatic Locomotor Specializations and Habitat Transitions in Tetrapod Vertebrates.

Authors:  Richard W Blob; Christopher J Mayerl; Angela R V Rivera; Gabriel Rivera; Vanessa K H Young
Journal:  Integr Comp Biol       Date:  2016-10-23       Impact factor: 3.326

9.  Thyroid hormone modulation during zebrafish development recapitulates evolved diversity in danionin jaw protrusion mechanics.

Authors:  Demi Galindo; Elly Sweet; Zoey DeLeon; Mitchel Wagner; Adrian DeLeon; Casey Carter; Sarah K McMenamin; W James Cooper
Journal:  Evol Dev       Date:  2019-08-02       Impact factor: 1.930

10.  Extreme and rapid bursts of functional adaptations shape bite force in amniotes.

Authors:  Manabu Sakamoto; Marcello Ruta; Chris Venditti
Journal:  Proc Biol Sci       Date:  2019-01-16       Impact factor: 5.349

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