Literature DB >> 16405160

Modeling the adaptive potential of isolated populations: experimental simulations using Drosophila.

William R Swindell1, Juan L Bouzat.   

Abstract

The genetic variability underlying many morphological and stress resistance traits may largely depend on the effects of genetic drift balanced by polygenic mutation. This model of adaptive potential has played a central role in the minimum viable population size concept and has been used to predict the effective population size necessary to prevent extinction within changing environments. However, there have been few long-term experimental studies of adaptive potential within isolated populations, and no study has thus far provided an experimental test of the drift-mutation model of quantitative genetic variation. Using the sternopleural bristle number of Drosophila melanogaster as a model quantitative trait, we performed repeated measurements of adaptive potential on 15 replicate populations of two and 10 male-female pairs over 30 and 77 generations, respectively. Declines in adaptive potential were analyzed by comparing observed and expected changes in realized heritability over time. The only significant model deviation occurred immediately after bottlenecks of two pairs, in which greater than expected declines in realized heritability were observed. This result suggests that changes in allelic diversity during bottleneck events may be as important as changes in heterozygosity in determining adaptive potential. Drift-mutation model expectations were otherwise realized over all generations. Our results validate the use of the drift-mutation model as a tool for understanding the dynamics of adaptive potential for peripheral fitness characters, but suggest caution in applying this model to recently bottlenecked populations.

Entities:  

Mesh:

Year:  2005        PMID: 16405160

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


  7 in total

1.  Genetic erosion impedes adaptive responses to stressful environments.

Authors:  R Bijlsma; Volker Loeschcke
Journal:  Evol Appl       Date:  2011-11-07       Impact factor: 5.183

2.  Conservation genetics as applied evolution: from genetic pattern to evolutionary process.

Authors:  Robert G Latta
Journal:  Evol Appl       Date:  2008-02       Impact factor: 5.183

3.  Splitting or lumping? A conservation dilemma exemplified by the critically endangered dama gazelle (Nanger dama).

Authors:  Helen Senn; Lisa Banfield; Tim Wacher; John Newby; Thomas Rabeil; Jennifer Kaden; Andrew C Kitchener; Teresa Abaigar; Teresa Luísa Silva; Mike Maunder; Rob Ogden
Journal:  PLoS One       Date:  2014-06-23       Impact factor: 3.240

Review 4.  Are heritability and selection related to population size in nature? Meta-analysis and conservation implications.

Authors:  Jacquelyn L A Wood; Matthew C Yates; Dylan J Fraser
Journal:  Evol Appl       Date:  2016-04-03       Impact factor: 5.183

5.  Genomic variation predicts adaptive evolutionary responses better than population bottleneck history.

Authors:  Michael Ørsted; Ary Anthony Hoffmann; Elsa Sverrisdóttir; Kåre Lehmann Nielsen; Torsten Nygaard Kristensen
Journal:  PLoS Genet       Date:  2019-06-12       Impact factor: 5.917

6.  Population genetics at three spatial scales of a rare sponge living in fragmented habitats.

Authors:  Andrea Blanquer; Maria J Uriz
Journal:  BMC Evol Biol       Date:  2010-01-14       Impact factor: 3.260

7.  A stochastic version of the Price equation reveals the interplay of deterministic and stochastic processes in evolution.

Authors:  Sean H Rice
Journal:  BMC Evol Biol       Date:  2008-09-25       Impact factor: 3.260

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.