Quantitative analyses of empirical fitness landscapes

Biology – Quantitative Biology – Populations and Evolution

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

23 pages, 5 figures

Scientific paper

The concept of a fitness landscape is a powerful metaphor that offers insight into various aspects of evolutionary processes and guidance for the study of evolution. Until recently, empirical evidence on the ruggedness of these landscapes was lacking, but since it became feasible to construct all possible genotypes containing combinations of a limited set of mutations, the number of studies has grown to a point where a classification of landscapes becomes possible. The aim of this review is to identify measures of epistasis that allow a meaningful comparison of fitness landscapes and then apply them to the empirical landscapes to discern factors that affect ruggedness. The various measures of epistasis that have been proposed in the literature appear to be equivalent. Our comparsion shows that the ruggedness of the empirical landscape is affected by whether the included mutations are beneficial or deleterious and by whether intra- or intergenic epistasis is involved. Finally, the empirical landscapes are compared to landscapes generated with the Rough Mt. Fuji model. Despite the simplicity of this model, it captures the features of the experimental landscapes remarkably well.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Quantitative analyses of empirical fitness landscapes does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Quantitative analyses of empirical fitness landscapes, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Quantitative analyses of empirical fitness landscapes will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-565433

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.