Literature DB >> 17055718

Fitness effects of beneficial mutations: the mutational landscape model in experimental evolution.

Andrea J Betancourt1, Jonathan P Bollback.   

Abstract

The mutational landscape model is a theoretical model describing sequence evolution in natural populations. However, recent experimental work has begun to test its predictions in laboratory populations of microbes. Several of these studies have focused on testing the prediction that the effects of beneficial mutations should be roughly exponentially distributed. The prediction appears to be borne out by most of these studies, at least qualitatively. Another study showed that a modified version of the model was able to predict, with reasonable accuracy, which of a ranked set of beneficial alleles will be fixed next. Although it remains to be seen whether the mutational landscape model adequately describes adaptation in organisms other than microbes, together these studies suggest that adaptive evolution has surprisingly general properties that can be successfully captured by theoretical models.

Mesh:

Year:  2006        PMID: 17055718     DOI: 10.1016/j.gde.2006.10.006

Source DB:  PubMed          Journal:  Curr Opin Genet Dev        ISSN: 0959-437X            Impact factor:   5.578


  12 in total

1.  Mutational effects and population dynamics during viral adaptation challenge current models.

Authors:  Craig R Miller; Paul Joyce; Holly A Wichman
Journal:  Genetics       Date:  2010-11-01       Impact factor: 4.562

2.  Impact of individual mutations on increased fitness in adaptively evolved strains of Escherichia coli.

Authors:  M Kenyon Applebee; Markus J Herrgård; Bernhard Ø Palsson
Journal:  J Bacteriol       Date:  2008-05-16       Impact factor: 3.490

3.  Adaptation of Drosophila melanogaster to increased NaCl concentration due to dominant beneficial mutations.

Authors:  Mingcai Zhang; Priti Azad; R C Woodruff
Journal:  Genetica       Date:  2010-12-03       Impact factor: 1.082

4.  The genetics of adaptation for eight microvirid bacteriophages.

Authors:  Darin R Rokyta; Zaid Abdo; Holly A Wichman
Journal:  J Mol Evol       Date:  2009-08-20       Impact factor: 2.395

5.  An ABC method for estimating the rate and distribution of effects of beneficial mutations.

Authors:  Jorge A Moura de Sousa; Paulo R A Campos; Isabel Gordo
Journal:  Genome Biol Evol       Date:  2013       Impact factor: 3.416

6.  Can parallel mutation and neutral genome selection explain Eastern African M1 consensus HVS-I motifs in Indian M haplogroups.

Authors:  Clyde Winters
Journal:  Indian J Hum Genet       Date:  2007-09

7.  A method to infer positive selection from marker dynamics in an asexual population.

Authors:  Christopher J R Illingworth; Ville Mustonen
Journal:  Bioinformatics       Date:  2012-01-05       Impact factor: 6.937

8.  The distribution of fitness effects of beneficial mutations in Pseudomonas aeruginosa.

Authors:  R Craig MacLean; Angus Buckling
Journal:  PLoS Genet       Date:  2009-03-06       Impact factor: 5.917

Review 9.  Constructive neutral evolution: exploring evolutionary theory's curious disconnect.

Authors:  Arlin Stoltzfus
Journal:  Biol Direct       Date:  2012-10-13       Impact factor: 4.540

10.  A framework for evolutionary systems biology.

Authors:  Laurence Loewe
Journal:  BMC Syst Biol       Date:  2009-02-24
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.