Literature DB >> 28565589

ADAPTIVE RADIATION ALONG GENETIC LINES OF LEAST RESISTANCE.

Dolph Schluter1.   

Abstract

Are measurements of quantitative genetic variation useful for predicting long-term adaptive evolution? To answer this question, I focus on gmax , the multivariate direction of greatest additive genetic variance within populations. Original data on threespine sticklebacks, together with published genetic measurements from other vertebrates, show that morphological differentiation between species has been biased in the direction of gmax for at least four million years, despite evidence that natural selection is the cause of differentiation. This bias toward the direction of evolution tends to decay with time. Rate of morphological divergence between species is inversely proportional to θ, the angle between the direction of divergence and the direction of greatest genetic variation. The direction of greatest phenotypic variance is not identical with gmax , but for these data is nearly as successful at predicting the direction of species divergence. I interpret the findings to mean that genetic variances and covariances constrain adaptive change in quantitative traits for reasonably long spans of time. An alternative hypothesis, however, cannot be ruled out: that morphological differentiation is biased in the direction gmax because divergence and gmax are both shaped by the same natural selection pressures. Either way, the results reveal that adaptive differentiation occurs principally along "genetic lines of least resistance." © 1996 The Society for the Study of Evolution.

Entities:  

Keywords:  Adaptive divergence; adaptive radiation; genetic correlation; genetic variance; heritability; natural selection; sticklebacks

Year:  1996        PMID: 28565589     DOI: 10.1111/j.1558-5646.1996.tb03563.x

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


  156 in total

1.  Constraint shapes convergence in tetrodotoxin-resistant sodium channels of snakes.

Authors:  Chris R Feldman; Edmund D Brodie; Edmund D Brodie; Michael E Pfrender
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-05       Impact factor: 11.205

Review 2.  What can whole genome expression data tell us about the ecology and evolution of personality?

Authors:  Alison M Bell; Nadia Aubin-Horth
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-12-27       Impact factor: 6.237

Review 3.  Perspectives on the genetic architecture of divergence in body shape in sticklebacks.

Authors:  Duncan T Reid; Catherine L Peichel
Journal:  Integr Comp Biol       Date:  2010-04-26       Impact factor: 3.326

4.  Evolution of adaptive phenotypic variation patterns by direct selection for evolvability.

Authors:  Mihaela Pavlicev; James M Cheverud; Günter P Wagner
Journal:  Proc Biol Sci       Date:  2010-11-24       Impact factor: 5.349

5.  Internal and external constraints in the evolution of morphological allometries in a butterfly.

Authors:  W Anthony Frankino; Bas J Zwaan; David L Stern; Paul M Brakefield
Journal:  Evolution       Date:  2007-11-01       Impact factor: 3.694

6.  Developmental plasticity and acclimation both contribute to adaptive responses to alternating seasons of plenty and of stress in Bicyclus butterflies.

Authors:  Paul M Brakefield; Jeroen Pijpe; Bas J Zwaan
Journal:  J Biosci       Date:  2007-04       Impact factor: 1.826

Review 7.  Finding the way in phenotypic space: the origin and maintenance of constraints on organismal form.

Authors:  Massimo Pigliucci
Journal:  Ann Bot       Date:  2007-05-11       Impact factor: 4.357

8.  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

9.  Patterns of quantitative genetic variation in multiple dimensions.

Authors:  Mark Kirkpatrick
Journal:  Genetica       Date:  2008-08-10       Impact factor: 1.082

10.  Genetics of Skeletal Evolution in Unusually Large Mice from Gough Island.

Authors:  Michelle D Parmenter; Melissa M Gray; Caley A Hogan; Irene N Ford; Karl W Broman; Christopher J Vinyard; Bret A Payseur
Journal:  Genetics       Date:  2016-09-30       Impact factor: 4.562

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.