Literature DB >> 19552615

Revealing evolutionary pathways by fitness landscape reconstruction.

Manjunatha Kogenaru1, Marjon G J de Vos, Sander J Tans.   

Abstract

The concept of epistasis has since long been used to denote non-additive fitness effects of genetic changes and has played a central role in understanding the evolution of biological systems. Owing to an array of novel experimental methodologies, it has become possible to experimentally determine epistatic interactions as well as more elaborate genotype-fitness maps. These data have opened up the investigation of a host of long-standing questions in evolutionary biology, such as the ruggedness of fitness landscapes and the accessibility of mutational trajectories, the evolution of sex, and the origin of robustness and modularity. Here we review this recent and timely marriage between systems biology and evolutionary biology, which holds the promise to understand evolutionary dynamics in a more mechanistic and predictive manner.

Mesh:

Year:  2009        PMID: 19552615     DOI: 10.1080/10409230903039658

Source DB:  PubMed          Journal:  Crit Rev Biochem Mol Biol        ISSN: 1040-9238            Impact factor:   8.250


  15 in total

1.  How mutational epistasis impairs predictability in protein evolution and design.

Authors:  Charlotte M Miton; Nobuhiko Tokuriki
Journal:  Protein Sci       Date:  2016-01-22       Impact factor: 6.725

2.  Damage-induced localized hypermutability.

Authors:  Lauranell H Burch; Yong Yang; Joan F Sterling; Steven A Roberts; Frank G Chao; Hong Xu; Leilei Zhang; Jesse Walsh; Michael A Resnick; Piotr A Mieczkowski; Dmitry A Gordenin
Journal:  Cell Cycle       Date:  2011-04-01       Impact factor: 4.534

3.  Inferring fitness landscapes by regression produces biased estimates of epistasis.

Authors:  Jakub Otwinowski; Joshua B Plotkin
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-19       Impact factor: 11.205

4.  Local Fitness Landscapes Predict Yeast Evolutionary Dynamics in Directionally Changing Environments.

Authors:  Florien A Gorter; Mark G M Aarts; Bas J Zwaan; J Arjan G M de Visser
Journal:  Genetics       Date:  2017-11-15       Impact factor: 4.562

5.  Delayed commitment to evolutionary fate in antibiotic resistance fitness landscapes.

Authors:  Adam C Palmer; Erdal Toprak; Michael Baym; Seungsoo Kim; Adrian Veres; Shimon Bershtein; Roy Kishony
Journal:  Nat Commun       Date:  2015-06-10       Impact factor: 14.919

Review 6.  Clusters of Multiple Mutations: Incidence and Molecular Mechanisms.

Authors:  Kin Chan; Dmitry A Gordenin
Journal:  Annu Rev Genet       Date:  2015       Impact factor: 16.830

7.  Quantifying the similarity of monotonic trajectories in rough and smooth fitness landscapes.

Authors:  Alexander E Lobkovsky; Yuri I Wolf; Eugene V Koonin
Journal:  Mol Biosyst       Date:  2013-03-04

8.  Experimental Resurrection of Ancestral Mammalian CPEB3 Ribozymes Reveals Deep Functional Conservation.

Authors:  Devin P Bendixsen; Tanner B Pollock; Gianluca Peri; Eric J Hayden
Journal:  Mol Biol Evol       Date:  2021-06-25       Impact factor: 16.240

9.  Evolutionary accessibility of mutational pathways.

Authors:  Jasper Franke; Alexander Klözer; J Arjan G M de Visser; Joachim Krug
Journal:  PLoS Comput Biol       Date:  2011-08-18       Impact factor: 4.475

10.  Replaying the tape of life: quantification of the predictability of evolution.

Authors:  Alexander E Lobkovsky; Eugene V Koonin
Journal:  Front Genet       Date:  2012-11-26       Impact factor: 4.599

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