Literature DB >> 30583805

Evolution in the light of fitness landscape theory.

Inês Fragata1, Alexandre Blanckaert1, Marco António Dias Louro1, David A Liberles2, Claudia Bank3.   

Abstract

By formalizing the relationship between genotype or phenotype and fitness, fitness landscapes harbor information on molecular and evolutionary constraints. The shape of the fitness landscape determines the potential for adaptation and speciation, as well as our ability to predict evolution. Consequently, fitness landscape theory has been invoked across the natural sciences and across multiple levels of biological organization. We review here the existing literature on fitness landscape theory by describing the main types of fitness landscape models, and highlight how these are increasingly integrated into an applicable statistical framework for the study of evolution. Specifically, we demonstrate how the interpretation of experimental studies with respect to fitness landscape models enables a direct link between evolution, molecular biology, and systems biology.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Keywords:  Epistasis; Fitness landscapes; Genotype–phenotype map; Neutral evolution

Mesh:

Year:  2018        PMID: 30583805     DOI: 10.1016/j.tree.2018.10.009

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  31 in total

1.  Fitness variation across subtle environmental perturbations reveals local modularity and global pleiotropy of adaptation.

Authors:  Grant Kinsler; Kerry Geiler-Samerotte; Dmitri A Petrov
Journal:  Elife       Date:  2020-12-02       Impact factor: 8.140

Review 2.  Multi-locus interactions and the build-up of reproductive isolation.

Authors:  I Satokangas; S H Martin; H Helanterä; J Saramäki; J Kulmuni
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-07-13       Impact factor: 6.237

3.  Evolution Rapidly Optimizes Stability and Aggregation in Lattice Proteins Despite Pervasive Landscape Valleys and Mazes.

Authors:  Jason Bertram; Joanna Masel
Journal:  Genetics       Date:  2020-02-27       Impact factor: 4.562

4.  Imbalanced segregation of recombinant haplotypes in hybrid populations reveals inter- and intrachromosomal Dobzhansky-Muller incompatibilities.

Authors:  Juan Li; Molly Schumer; Claudia Bank
Journal:  PLoS Genet       Date:  2022-03-28       Impact factor: 5.917

5.  The structure of genotype-phenotype maps makes fitness landscapes navigable.

Authors:  Sam F Greenbury; Ard A Louis; Sebastian E Ahnert
Journal:  Nat Ecol Evol       Date:  2022-09-29       Impact factor: 19.100

6.  Heterogeneity of the GFP fitness landscape and data-driven protein design.

Authors:  Louisa Gonzalez Somermeyer; Aubin Fleiss; Alexander S Mishin; Nina G Bozhanova; Anna A Igolkina; Jens Meiler; Maria-Elisenda Alaball Pujol; Ekaterina V Putintseva; Karen S Sarkisyan; Fyodor A Kondrashov
Journal:  Elife       Date:  2022-05-05       Impact factor: 8.713

7.  Hybridization alters the shape of the genotypic fitness landscape, increasing access to novel fitness peaks during adaptive radiation.

Authors:  Austin H Patton; Emilie J Richards; Katelyn J Gould; Logan K Buie; Christopher H Martin
Journal:  Elife       Date:  2022-05-26       Impact factor: 8.713

8.  Relation Between the Number of Peaks and the Number of Reciprocal Sign Epistatic Interactions.

Authors:  Raimundo Saona; Fyodor A Kondrashov; Ksenia A Khudiakova
Journal:  Bull Math Biol       Date:  2022-06-17       Impact factor: 3.871

9.  The evolution, evolvability and engineering of gene regulatory DNA.

Authors:  Eeshit Dhaval Vaishnav; Carl G de Boer; Jennifer Molinet; Moran Yassour; Lin Fan; Xian Adiconis; Dawn A Thompson; Joshua Z Levin; Francisco A Cubillos; Aviv Regev
Journal:  Nature       Date:  2022-03-09       Impact factor: 69.504

10.  Emergence and propagation of epistasis in metabolic networks.

Authors:  Sergey Kryazhimskiy
Journal:  Elife       Date:  2021-02-02       Impact factor: 8.140

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