Literature DB >> 21041559

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

Craig R Miller1, Paul Joyce, Holly A Wichman.   

Abstract

Adaptation in haploid organisms has been extensively modeled but little tested. Using a microvirid bacteriophage (ID11), we conducted serial passage adaptations at two bottleneck sizes (10(4) and 10(6)), followed by fitness assays and whole-genome sequencing of 631 individual isolates. Extensive genetic variation was observed including 22 beneficial, several nearly neutral, and several deleterious mutations. In the three large bottleneck lines, up to eight different haplotypes were observed in samples of 23 genomes from the final time point. The small bottleneck lines were less diverse. The small bottleneck lines appeared to operate near the transition between isolated selective sweeps and conditions of complex dynamics (e.g., clonal interference). The large bottleneck lines exhibited extensive interference and less stochasticity, with multiple beneficial mutations establishing on a variety of backgrounds. Several leapfrog events occurred. The distribution of first-step adaptive mutations differed significantly from the distribution of second-steps, and a surprisingly large number of second-step beneficial mutations were observed on a highly fit first-step background. Furthermore, few first-step mutations appeared as second-steps and second-steps had substantially smaller selection coefficients. Collectively, the results indicate that the fitness landscape falls between the extremes of smooth and fully uncorrelated, violating the assumptions of many current mutational landscape models.

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Year:  2010        PMID: 21041559      PMCID: PMC3018297          DOI: 10.1534/genetics.110.121400

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  48 in total

1.  An empirical test of the mutational landscape model of adaptation using a single-stranded DNA virus.

Authors:  Darin R Rokyta; Paul Joyce; S Brian Caudle; Holly A Wichman
Journal:  Nat Genet       Date:  2005-03-20       Impact factor: 38.330

Review 2.  The genetic theory of adaptation: a brief history.

Authors:  H Allen Orr
Journal:  Nat Rev Genet       Date:  2005-02       Impact factor: 53.242

3.  Adaptive mutations in bacteria: high rate and small effects.

Authors:  Lília Perfeito; Lisete Fernandes; Catarina Mota; Isabel Gordo
Journal:  Science       Date:  2007-08-10       Impact factor: 47.728

4.  The fate of competing beneficial mutations in an asexual population.

Authors:  P J Gerrish; R E Lenski
Journal:  Genetica       Date:  1998       Impact factor: 1.082

5.  Diminishing returns from mutation supply rate in asexual populations.

Authors:  J A Arjan; M Visser; C W Zeyl; P J Gerrish; J L Blanchard; R E Lenski
Journal:  Science       Date:  1999-01-15       Impact factor: 47.728

Review 6.  Rates of spontaneous mutation.

Authors:  J W Drake; B Charlesworth; D Charlesworth; J F Crow
Journal:  Genetics       Date:  1998-04       Impact factor: 4.562

7.  Reproducible nonlinear population dynamics and critical points during replicative competitions of RNA virus quasispecies.

Authors:  J Quer; R Huerta; I S Novella; L Tsimring; E Domingo; J J Holland
Journal:  J Mol Biol       Date:  1996-12-06       Impact factor: 5.469

8.  Natural selection and the concept of a protein space.

Authors:  J M Smith
Journal:  Nature       Date:  1970-02-07       Impact factor: 49.962

9.  Protein evolution on partially correlated landscapes.

Authors:  A S Perelson; C A Macken
Journal:  Proc Natl Acad Sci U S A       Date:  1995-10-10       Impact factor: 11.205

10.  Understanding the evolutionary fate of finite populations: the dynamics of mutational effects.

Authors:  Olin K Silander; Olivier Tenaillon; Lin Chao
Journal:  PLoS Biol       Date:  2007-04       Impact factor: 8.029

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  49 in total

1.  Stickbreaking: a novel fitness landscape model that harbors epistasis and is consistent with commonly observed patterns of adaptive evolution.

Authors:  Anna C Nagel; Paul Joyce; Holly A Wichman; Craig R Miller
Journal:  Genetics       Date:  2011-11-17       Impact factor: 4.562

2.  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

3.  Inference for one-step beneficial mutations using next generation sequencing.

Authors:  Andrzej J Wojtowicz; Craig R Miller; Paul Joyce
Journal:  Stat Appl Genet Mol Biol       Date:  2015-02

4.  The dynamics of genetic draft in rapidly adapting populations.

Authors:  Katya Kosheleva; Michael M Desai
Journal:  Genetics       Date:  2013-09-03       Impact factor: 4.562

5.  Multiple adaptive substitutions during evolution in novel environments.

Authors:  Kavita Jain; Sarada Seetharaman
Journal:  Genetics       Date:  2011-09-06       Impact factor: 4.562

6.  Cost of adaptation and fitness effects of beneficial mutations in Pseudomonas fluorescens.

Authors:  Thomas Bataillon; Tianyi Zhang; Rees Kassen
Journal:  Genetics       Date:  2011-08-25       Impact factor: 4.562

7.  The impact of macroscopic epistasis on long-term evolutionary dynamics.

Authors:  Benjamin H Good; Michael M Desai
Journal:  Genetics       Date:  2014-11-12       Impact factor: 4.562

8.  Repeatability of adaptation in experimental populations of different sizes.

Authors:  Josianne Lachapelle; Joshua Reid; Nick Colegrave
Journal:  Proc Biol Sci       Date:  2015-04-22       Impact factor: 5.349

9.  Predictability of evolution depends nonmonotonically on population size.

Authors:  Ivan G Szendro; Jasper Franke; J Arjan G M de Visser; Joachim Krug
Journal:  Proc Natl Acad Sci U S A       Date:  2012-12-24       Impact factor: 11.205

10.  Synchronous waves of failed soft sweeps in the laboratory: remarkably rampant clonal interference of alleles at a single locus.

Authors:  Ming-Chun Lee; Christopher J Marx
Journal:  Genetics       Date:  2013-01-10       Impact factor: 4.562

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