Literature DB >> 14632238

Evolvability and genetic constraint in Dalechampia blossoms: components of variance and measures of evolvability.

Thomas F Hansen1, Christophe Pélabon, W Scott Armbruster, Matthew L Carlson.   

Abstract

Many evolutionary arguments are based on the assumption that quantitative characters are highly evolvable entities that can be rapidly moulded by changing selection pressures. The empirical evaluation of this assumption depends on having an operational measure of evolvability that reflects the ability of a trait to respond to a given external selection pressure. We suggest short-term evolvability be measured as expected proportional response in a trait to a unit strength of directional selection, where strength of selection is defined independently of character variation and in units of the strength of selection on fitness itself. We show that the additive genetic variance scaled by the square of the trait mean, IA, is such a measure. The heritability, h2, does not measure evolvability in this sense. Based on a diallel analysis, we use IA to assess the evolvability of floral characters in a population of the neotropical vine Dalechampia scandens (Euphorbiaceae). Although we are able to demonstrate that there is additive genetic variation in a number of floral traits, we also find that most of the traits are not expected to change by more than a fraction of a percent per generation. We provide evidence that the degree of among-population divergence of traits is related to their predicted evolvabilities, but not to their heritabilities.

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Year:  2003        PMID: 14632238     DOI: 10.1046/j.1420-9101.2003.00556.x

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


  30 in total

1.  Estimation of heritability, evolvability and genetic correlations of two pollen and pistil traits involved in a sexual conflict over timing of stigma receptivity in Collinsia heterophylla (Plantaginaceae).

Authors:  Josefin A Madjidian; Stefan Andersson; Asa Lankinen
Journal:  Ann Bot       Date:  2012-05-29       Impact factor: 4.357

2.  Soft sweeps: molecular population genetics of adaptation from standing genetic variation.

Authors:  Joachim Hermisson; Pleuni S Pennings
Journal:  Genetics       Date:  2005-02-16       Impact factor: 4.562

3.  The adaptive accuracy of flowers: measurement and microevolutionary patterns.

Authors:  W Scott Armbruster; Thomas F Hansen; Christophe Pélabon; Rocío Pérez-Barrales; Johanne Maad
Journal:  Ann Bot       Date:  2009-05-08       Impact factor: 4.357

4.  Pollen-tube growth rates in Collinsia heterophylla (Plantaginaceae): one-donor crosses reveal heritability but no effect on sporophytic-offspring fitness.

Authors:  Asa Lankinen; Johanne Maad; W Scott Armbruster
Journal:  Ann Bot       Date:  2009-02-06       Impact factor: 4.357

5.  Patterns of quantitative genetic variation in multiple dimensions.

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

6.  Pleiotropic quantitative trait loci contribute to population divergence in traits associated with life-history variation in Mimulus guttatus.

Authors:  Megan C Hall; Christopher J Basten; John H Willis
Journal:  Genetics       Date:  2005-12-15       Impact factor: 4.562

7.  Genetic variances and covariances of aerobic metabolic rates in laboratory mice.

Authors:  Bernard Wone; Michael W Sears; Marta K Labocha; Edward R Donovan; Jack P Hayes
Journal:  Proc Biol Sci       Date:  2009-08-05       Impact factor: 5.349

8.  Why does allometry evolve so slowly?

Authors:  David Houle; Luke T Jones; Ryan Fortune; Jacqueline L Sztepanacz
Journal:  Integr Comp Biol       Date:  2019-11-01       Impact factor: 3.326

9.  Intersexual conflict over seed size is stronger in more outcrossed populations of a mixed-mating plant.

Authors:  Astrid Raunsgard; Øystein H Opedal; Runa K Ekrem; Jonathan Wright; Geir H Bolstad; W Scott Armbruster; Christophe Pélabon
Journal:  Proc Natl Acad Sci U S A       Date:  2018-10-03       Impact factor: 11.205

10.  How many more? Sample size determination in studies of morphological integration and evolvability.

Authors:  Mark Grabowski; Arthur Porto
Journal:  Methods Ecol Evol       Date:  2016-11-07       Impact factor: 7.781

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