Literature DB >> 12703942

Breakdown in correlations during laboratory evolution. I. Comparative analyses of Drosophila populations.

John P Phelan1, Margaret A Archer, Kelly A Beckman, Adam K Chippindale, Theodore J Nusbaum, Michael R Rose.   

Abstract

We provide evidence from comparisons of populations of Drosophila that evolutionary correlations between longevity and stress resistance break down over the course of laboratory evolution. Using 15 distinct evolutionary regimes, we created 75 populations that were differentiated for early fecundity, longevity, starvation resistance, desiccation resistance, and developmental time. In earlier experiments, selection for postponed aging produced increases in stress resistance, whereas selection for increased stress resistance produced increases in longevity. Direct estimates of correlations also indicated an antagonistic relationship between early fecundity on one hand and longevity or stress resistance on the other. Laboratory evolution of extreme values of stress resistance, however, led to a breakdown in these evolutionary relationships. There was no evidence that these significant changes in correlation resulted from genotype-by-environment interactions or inbreeding. These findings suggest that correlations between functional characters are not necessarily durable features of a species, and that short-term evolutionary responses cannot be extrapolated reliably to longer-term evolutionary patterns.

Entities:  

Mesh:

Year:  2003        PMID: 12703942     DOI: 10.1111/j.0014-3820.2003.tb01544.x

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


  11 in total

1.  Genetic correlations: transient truths of adaptive evolution.

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2.  Gender based disruptive selection maintains body size polymorphism in Drosophila melanogaster.

Authors:  Jaya Handa; K T Chandrashekara; Khushboo Kashyap; Geetanjali Sageena; Mallikarjun N Shakarad
Journal:  J Biosci       Date:  2014-09       Impact factor: 1.826

3.  Variation in adult life history and stress resistance across five species of Drosophila.

Authors:  N Sharmila Bharathi; N G Prasad; Mallikarjun Shakarad; Amitabh Joshi
Journal:  J Genet       Date:  2003-12       Impact factor: 1.166

4.  The devil in the details of life-history evolution: instability and reversal of genetic correlations during selection on Drosophila development.

Authors:  Adam K Chippindale; Anh L Ngo; Michael R Rose
Journal:  J Genet       Date:  2003-12       Impact factor: 1.166

Review 5.  What have two decades of laboratory life-history evolution studies on Drosophila melanogaster taught us?

Authors:  N G Prasad; Amitabh Joshi
Journal:  J Genet       Date:  2003 Apr-Aug       Impact factor: 1.166

6.  Does kin selection moderate sexual conflict in Drosophila?

Authors:  Adam K Chippindale; Meredith Berggren; Joshua H M Alpern; Robert Montgomerie
Journal:  Proc Biol Sci       Date:  2015-08-22       Impact factor: 5.349

7.  Bacterial Methionine Metabolism Genes Influence Drosophila melanogaster Starvation Resistance.

Authors:  Alec M Judd; Melinda K Matthews; Rachel Hughes; Madeline Veloz; Corinne E Sexton; John M Chaston
Journal:  Appl Environ Microbiol       Date:  2018-08-17       Impact factor: 4.792

8.  Indirect selection of thermal tolerance during experimental evolution of Drosophila melanogaster.

Authors:  Catriona Condon; Ajjya Acharya; Gregory J Adrian; Alex M Hurliman; David Malekooti; Phivu Nguyen; Maximilian H Zelic; Michael J Angilletta
Journal:  Ecol Evol       Date:  2015-04-12       Impact factor: 2.912

9.  Reproductive flexibility: genetic variation, genetic costs and long-term evolution in a collembola.

Authors:  Thomas Tully; Régis Ferrière
Journal:  PLoS One       Date:  2008-09-15       Impact factor: 3.240

10.  Effects of evolutionary history on genome wide and phenotypic convergence in Drosophila populations.

Authors:  Mark A Phillips; Grant A Rutledge; James N Kezos; Zachary S Greenspan; Andrew Talbott; Sara Matty; Hamid Arain; Laurence D Mueller; Michael R Rose; Parvin Shahrestani
Journal:  BMC Genomics       Date:  2018-10-11       Impact factor: 3.969

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