Literature DB >> 28565137

AN ANALYSIS OF SELECTIONAL RESPONSE IN RELATION TO A POPULATION BOTTLENECK.

Edwin H Bryant1, Lisa M Meffert1.   

Abstract

Selection for increased morphometric shape (ratio of wing length to thorax width) was compared between control (nonbottlenecked) populations and bottlenecked populations founded with two male-female pairs of flies. Contrary to neutral expectation, selectional response was not reduced in bottlenecked populations, and the mean realized heritabilities and additive genetic variances were higher for the bottlenecked lines than for the nonbottlenecked lines. Additive genetic variances based on these realized heritabilities were consistent with independent estimates of genetic variances based on parent-offspring covariances. Joint scaling tests applied to the crosses between selected lines and their controls revealed significant nonadditive components of genetic variance in the ancestor, which were not detected in the crosses involving bottlenecked lines. The nonbottlenecked lines responded principally by changes in one trait or the other (wing length or thorax width) but not in both, and regardless of which trait responded, larger trait size was dominant and epistatic to smaller size. Stabilizing selection for morphometric shape in the ancestor likely molded the genetic architecture to include nonadditive genetic effects. © 1995 The Society for the Study of Evolution.

Keywords:  Artificial selection; bottlenecks; genetic architecture; morphometric shape

Year:  1995        PMID: 28565137     DOI: 10.1111/j.1558-5646.1995.tb02299.x

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


  1 in total

1.  High variance in reproductive success generates a false signature of a genetic bottleneck in populations of constant size: a simulation study.

Authors:  Sean M Hoban; Massimo Mezzavilla; Oscar E Gaggiotti; Andrea Benazzo; Cock van Oosterhout; Giorgio Bertorelle
Journal:  BMC Bioinformatics       Date:  2013-10-16       Impact factor: 3.169

  1 in total

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