Literature DB >> 15341152

Convergence to a novel environment: comparative method versus experimental evolution.

Margarida Matos1, Pedro Simões, Ana Duarte, Carla Rego, Teresa Avelar, Michael R Rose.   

Abstract

Laboratory adaptation allows researchers to contrast temporal studies of experimental evolution with comparative studies. The comparative method is here taken to mean the inference of microevolutionary processes from comparisons among contemporaneous populations of diverse origins, from one or multiple species. The data contrasted here come from Drosophila subobscura populations that were introduced to the laboratory at several different times and from two different locations. Two questions were addressed. First, can we correctly infer evolutionary dynamics from comparative data collected simultaneously from disparate populations? In most cases, we could, except for the character of starvation resistance. Second, are the evolutionary dynamics inferred from the comparative approach similar to those revealed by temporal studies of experimental evolution? For fecundity characters, they were. Overall the results show that both comparative and temporal studies are useful, though the former can be uninformative for characters with complex evolutionary trajectories.

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Year:  2004        PMID: 15341152

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


  12 in total

1.  Ancestral populations perform better in a novel environment: domestication of medfly populations from five global regions.

Authors:  Alexandros D Diamantidis; James R Carey; Christos T Nakas; Nikos T Papadopoulos
Journal:  Biol J Linn Soc Lond       Date:  2011-02-01       Impact factor: 2.138

2.  Divergent evolution of molecular markers during laboratory adaptation in Drosophila subobscura.

Authors:  Pedro Simões; Marta Pascual; Maria Manuela Coelho; Margarida Matos
Journal:  Genetica       Date:  2010-08-31       Impact factor: 1.082

3.  Playing Darwin. Part A. Experimental evolution in Drosophila.

Authors:  Margarida Matos
Journal:  Theory Biosci       Date:  2010-05-26       Impact factor: 1.919

4.  Genetic architecture underlying convergent evolution of egg-laying behavior in a seed-feeding beetle.

Authors:  Charles W Fox; James D Wagner; Sara Cline; Frances Ann Thomas; Frank J Messina
Journal:  Genetica       Date:  2008-11-28       Impact factor: 1.082

5.  Different mechanisms lead to convergence of reproductive strategies in two lacertid lizards (Takydromus wolteri and Eremias argus).

Authors:  Bao-Jun Sun; Shu-Ran Li; Xue-Feng Xu; Wen-Ge Zhao; Lai-Gao Luo; Xiang Ji; Wei-Guo Du
Journal:  Oecologia       Date:  2012-11-15       Impact factor: 3.225

6.  Playing Darwin. Part B. 20 years of domestication in Drosophila subobscura.

Authors:  Marta Santos; Inês Fragata; Josiane Santos; Pedro Simões; Ana Marques; Margarida Lima; Margarida Matos
Journal:  Theory Biosci       Date:  2010-06-08       Impact factor: 1.919

7.  Effective population size and evolutionary dynamics in outbred laboratory populations of Drosophila.

Authors:  Laurence D Mueller; Amitabh Joshi; Marta Santos; Michael R Rose
Journal:  J Genet       Date:  2013-12       Impact factor: 1.166

8.  Laboratory selection quickly erases historical differentiation.

Authors:  Inês Fragata; Pedro Simões; Miguel Lopes-Cunha; Margarida Lima; Bárbara Kellen; Margarida Bárbaro; Josiane Santos; Michael R Rose; Mauro Santos; Margarida Matos
Journal:  PLoS One       Date:  2014-05-02       Impact factor: 3.240

9.  Ancestral population reconstitution from isofemale lines as a tool for experimental evolution.

Authors:  Pierre Nouhaud; Ray Tobler; Viola Nolte; Christian Schlötterer
Journal:  Ecol Evol       Date:  2016-08-30       Impact factor: 3.167

10.  Non-destructive species identification of Drosophila obscura and D. subobscura (Diptera) using near-infrared spectroscopy.

Authors:  Stefanie Fischnaller; Floyd E Dowell; Alexandra Lusser; Birgit C Schlick-Steiner; Florian M Steiner
Journal:  Fly (Austin)       Date:  2012-08-13       Impact factor: 2.160

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