Literature DB >> 16550173

Distribution of fitness effects among beneficial mutations before selection in experimental populations of bacteria.

Rees Kassen1, Thomas Bataillon.   

Abstract

The extent to which a population diverges from its ancestor through adaptive evolution depends on variation supplied by novel beneficial mutations. Extending earlier work, recent theory makes two predictions that seem to be robust to biological details: the distribution of fitness effects among beneficial mutations before selection should be (i) exponential and (ii) invariant, meaning it is always exponential regardless of the fitness rank of the wild-type allele. Here we test these predictions by assaying the fitness of 665 independently derived single-step mutations in the bacterium Pseudomonas fluorescens across a range of environments. We show that the distribution of fitness effects among beneficial mutations is indistinguishable from an exponential despite marked variation in the fitness rank of the wild type across environments. These results suggest that the initial step in adaptive evolution--the production of novel beneficial mutants from which selection sorts--is very general, being characterized by an approximately exponential distribution with many mutations of small effect and few of large effect. We also document substantial variation in the pleiotropic costs of antibiotic resistance, a result that may have implications for strategies aimed at eliminating resistant pathogens in animal and human populations.

Entities:  

Mesh:

Year:  2006        PMID: 16550173     DOI: 10.1038/ng1751

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  107 in total

1.  Distribution of fixed beneficial mutations and the rate of adaptation in asexual populations.

Authors:  Benjamin H Good; Igor M Rouzine; Daniel J Balick; Oskar Hallatschek; Michael M Desai
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-27       Impact factor: 11.205

2.  The nearly neutral and selection theories of molecular evolution under the fisher geometrical framework: substitution rate, population size, and complexity.

Authors:  Pablo Razeto-Barry; Javier Díaz; Rodrigo A Vásquez
Journal:  Genetics       Date:  2012-03-16       Impact factor: 4.562

3.  The distribution of fitness effects of new beneficial mutations in Pseudomonas fluorescens.

Authors:  Michael J McDonald; Tim F Cooper; Hubertus J E Beaumont; Paul B Rainey
Journal:  Biol Lett       Date:  2010-07-21       Impact factor: 3.703

Review 4.  The population genetics of antibiotic resistance: integrating molecular mechanisms and treatment contexts.

Authors:  R Craig MacLean; Alex R Hall; Gabriel G Perron; Angus Buckling
Journal:  Nat Rev Genet       Date:  2010-06       Impact factor: 53.242

Review 5.  Beneficial mutations and the dynamics of adaptation in asexual populations.

Authors:  Paul D Sniegowski; Philip J Gerrish
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-04-27       Impact factor: 6.237

Review 6.  The population genetics of beneficial mutations.

Authors:  H Allen Orr
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-04-27       Impact factor: 6.237

7.  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

Review 8.  Genetic assimilation: a review of its potential proximate causes and evolutionary consequences.

Authors:  Ian M Ehrenreich; David W Pfennig
Journal:  Ann Bot       Date:  2015-09-10       Impact factor: 4.357

9.  The distribution of beneficial mutant effects under strong selection.

Authors:  Rowan D H Barrett; Leithen K M'Gonigle; Sarah P Otto
Journal:  Genetics       Date:  2006-10-08       Impact factor: 4.562

10.  Simulations reveal challenges to artificial community selection and possible strategies for success.

Authors:  Li Xie; Alex E Yuan; Wenying Shou
Journal:  PLoS Biol       Date:  2019-06-25       Impact factor: 8.029

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.