Literature DB >> 23227489

What paths do advantageous alleles take during short-term evolutionary change?

Molly K Burke1, Anthony D Long.   

Abstract

Combining experimental evolution with whole-genome resequencing is a promising new strategy for investigating the dynamics of evolutionary change. Published studies that have resequenced laboratory-selected populations of sexual organisms have typically focused on populations sampled at the end of an evolution experiment. These studies have attempted to associate particular alleles with phenotypic change and attempted to distinguish between different theoretical models of adaptation. However, neither the population used to initiate the experiment nor multiple time points sampled during the evolutionary trajectory are generally available for examination. In this issue of Molecular Ecology, Orozco-terWengel et al. (2012) take a significant step forward by estimating genome-wide allele frequencies at the start, 15 generations into and at the end of a 37-generation Drosophila experimental evolution study. The authors identify regions of the genome that have responded to laboratory selection and describe the temporal dynamics of allele frequency change. They identify two common trajectories for putatively adaptive alleles: alleles either gradually increase in frequency throughout the entire 37 generations or alleles plateau at a new frequency by generation 15. The identification of complex trajectories of alleles under selection contributes to a growing body of literature suggesting that simple models of adaptation, whereby beneficial alleles arise and increase in frequency unimpeded until they become fixed, may not adequately describe short-term response to selection.

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Year:  2012        PMID: 23227489     DOI: 10.1111/j.1365-294x.2012.05745.x

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  9 in total

1.  Evolution of stickleback in 50 years on earthquake-uplifted islands.

Authors:  Emily A Lescak; Susan L Bassham; Julian Catchen; Ofer Gelmond; Mary L Sherbick; Frank A von Hippel; William A Cresko
Journal:  Proc Natl Acad Sci U S A       Date:  2015-12-14       Impact factor: 11.205

2.  Genome-Wide Analysis of Starvation-Selected Drosophila melanogaster-A Genetic Model of Obesity.

Authors:  Christopher M Hardy; Molly K Burke; Logan J Everett; Mira V Han; Kathryn M Lantz; Allen G Gibbs
Journal:  Mol Biol Evol       Date:  2018-01-01       Impact factor: 16.240

3.  Gaussian process test for high-throughput sequencing time series: application to experimental evolution.

Authors:  Hande Topa; Ágnes Jónás; Robert Kofler; Carolin Kosiol; Antti Honkela
Journal:  Bioinformatics       Date:  2015-01-21       Impact factor: 6.937

4.  The power to detect quantitative trait loci using resequenced, experimentally evolved populations of diploid, sexual organisms.

Authors:  James G Baldwin-Brown; Anthony D Long; Kevin R Thornton
Journal:  Mol Biol Evol       Date:  2014-01-18       Impact factor: 16.240

5.  Patterns of linkage disequilibrium and long range hitchhiking in evolving experimental Drosophila melanogaster populations.

Authors:  Susanne U Franssen; Viola Nolte; Ray Tobler; Christian Schlötterer
Journal:  Mol Biol Evol       Date:  2014-11-17       Impact factor: 16.240

6.  The Genomic Basis for Short-Term Evolution of Environmental Adaptation in Maize.

Authors:  Randall J Wisser; Zhou Fang; James B Holland; Juliana E C Teixeira; John Dougherty; Teclemariam Weldekidan; Natalia de Leon; Sherry Flint-Garcia; Nick Lauter; Seth C Murray; Wenwei Xu; Arnel Hallauer
Journal:  Genetics       Date:  2019-10-15       Impact factor: 4.562

Review 7.  Elucidating the molecular architecture of adaptation via evolve and resequence experiments.

Authors:  Anthony Long; Gianni Liti; Andrej Luptak; Olivier Tenaillon
Journal:  Nat Rev Genet       Date:  2015-09-08       Impact factor: 53.242

8.  A guide for the design of evolve and resequencing studies.

Authors:  Robert Kofler; Christian Schlötterer
Journal:  Mol Biol Evol       Date:  2013-11-09       Impact factor: 16.240

9.  History, chance and selection during phenotypic and genomic experimental evolution: replaying the tape of life at different levels.

Authors:  Margarida Matos; Pedro Simões; Marta A Santos; Sofia G Seabra; Gonçalo S Faria; Filipa Vala; Josiane Santos; Inês Fragata
Journal:  Front Genet       Date:  2015-02-25       Impact factor: 4.599

  9 in total

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