Literature DB >> 21697174

Impact of epistasis and pleiotropy on evolutionary adaptation.

Bjørn Ostman1, Arend Hintze, Christoph Adami.   

Abstract

Evolutionary adaptation is often likened to climbing a hill or peak. While this process is simple for fitness landscapes where mutations are independent, the interaction between mutations (epistasis) as well as mutations at loci that affect more than one trait (pleiotropy) are crucial in complex and realistic fitness landscapes. We investigate the impact of epistasis and pleiotropy on adaptive evolution by studying the evolution of a population of asexual haploid organisms (haplotypes) in a model of N interacting loci, where each locus interacts with K other loci. We use a quantitative measure of the magnitude of epistatic interactions between substitutions, and find that it is an increasing function of K. When haplotypes adapt at high mutation rates, more epistatic pairs of substitutions are observed on the line of descent than expected. The highest fitness is attained in landscapes with an intermediate amount of ruggedness that balance the higher fitness potential of interacting genes with their concomitant decreased evolvability. Our findings imply that the synergism between loci that interact epistatically is crucial for evolving genetic modules with high fitness, while too much ruggedness stalls the adaptive process.

Mesh:

Year:  2011        PMID: 21697174      PMCID: PMC3223680          DOI: 10.1098/rspb.2011.0870

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  67 in total

1.  Neutral evolution of mutational robustness.

Authors:  E van Nimwegen; J P Crutchfield; M Huynen
Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-17       Impact factor: 11.205

2.  Evolutionarily conserved pathways of energetic connectivity in protein families.

Authors:  S W Lockless; R Ranganathan
Journal:  Science       Date:  1999-10-08       Impact factor: 47.728

3.  Different trajectories of parallel evolution during viral adaptation.

Authors:  H A Wichman; M R Badgett; L A Scott; C M Boulianne; J J Bull
Journal:  Science       Date:  1999-07-16       Impact factor: 47.728

4.  Genome complexity, robustness and genetic interactions in digital organisms.

Authors:  R E Lenski; C Ofria; T C Collier; C Adami
Journal:  Nature       Date:  1999-08-12       Impact factor: 49.962

Review 5.  Is Wright's shifting balance process important in evolution?

Authors:  J A Coyne; N H Barton; M Turelli
Journal:  Evolution       Date:  2000-02       Impact factor: 3.694

6.  Interaction between directional epistasis and average mutational effects.

Authors:  C O Wilke; C Adami
Journal:  Proc Biol Sci       Date:  2001-07-22       Impact factor: 5.349

7.  Evolution by small steps and rugged landscapes in the RNA virus phi6.

Authors:  C L Burch; L Chao
Journal:  Genetics       Date:  1999-03       Impact factor: 4.562

8.  Evolutionary consequences of selected locus-specific variations in epistasis and fitness contribution in Kauffman's NK model.

Authors:  D Solow; A Burnetas; T Roeder; N S Greenspan
Journal:  J Theor Biol       Date:  1999-01-21       Impact factor: 2.691

9.  Estimates of the rate and distribution of fitness effects of spontaneous mutation in Saccharomyces cerevisiae.

Authors:  C Zeyl; J A DeVisser
Journal:  Genetics       Date:  2001-01       Impact factor: 4.562

10.  Evolvability of an RNA virus is determined by its mutational neighbourhood.

Authors:  C L Burch; L Chao
Journal:  Nature       Date:  2000-08-10       Impact factor: 49.962

View more
  42 in total

1.  Environmental change exposes beneficial epistatic interactions in a catalytic RNA.

Authors:  Eric J Hayden; Andreas Wagner
Journal:  Proc Biol Sci       Date:  2012-06-20       Impact factor: 5.349

2.  Synergistic Pleiotropy Overrides the Costs of Complexity in Viral Adaptation.

Authors:  Lindsey W McGee; Andrew M Sackman; Anneliese J Morrison; Jessica Pierce; Jeremy Anisman; Darin R Rokyta
Journal:  Genetics       Date:  2015-11-12       Impact factor: 4.562

3.  A tortoise-hare pattern seen in adapting structured and unstructured populations suggests a rugged fitness landscape in bacteria.

Authors:  Joshua R Nahum; Peter Godfrey-Smith; Brittany N Harding; Joseph H Marcus; Jared Carlson-Stevermer; Benjamin Kerr
Journal:  Proc Natl Acad Sci U S A       Date:  2015-05-11       Impact factor: 11.205

4.  No Cost of Complexity in Bacteriophages Adapting to a Complex Environment.

Authors:  Andrew M Sackman; Darin R Rokyta
Journal:  Genetics       Date:  2019-02-26       Impact factor: 4.562

5.  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

6.  The genomics of adaptation.

Authors:  Jacek Radwan; Wiesław Babik
Journal:  Proc Biol Sci       Date:  2012-10-24       Impact factor: 5.349

7.  Functional evolution of an anthocyanin pathway enzyme during a flower color transition.

Authors:  Stacey D Smith; Shunqi Wang; Mark D Rausher
Journal:  Mol Biol Evol       Date:  2012-11-15       Impact factor: 16.240

8.  Biophysical principles predict fitness landscapes of drug resistance.

Authors:  João V Rodrigues; Shimon Bershtein; Anna Li; Elena R Lozovsky; Daniel L Hartl; Eugene I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-29       Impact factor: 11.205

9.  Adaptation in tunably rugged fitness landscapes: the rough Mount Fuji model.

Authors:  Johannes Neidhart; Ivan G Szendro; Joachim Krug
Journal:  Genetics       Date:  2014-08-13       Impact factor: 4.562

Review 10.  Should evolutionary geneticists worry about higher-order epistasis?

Authors:  Daniel M Weinreich; Yinghong Lan; C Scott Wylie; Robert B Heckendorn
Journal:  Curr Opin Genet Dev       Date:  2013-11-27       Impact factor: 5.578

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.