Literature DB >> 21167837

Reciprocal sign epistasis is a necessary condition for multi-peaked fitness landscapes.

Frank J Poelwijk1, Sorin Tănase-Nicola, Daniel J Kiviet, Sander J Tans.   

Abstract

Having multiple peaks within fitness landscapes critically affects the course of evolution, but whether their presence imposes specific requirements at the level of genetic interactions remains unestablished. Here we show that to exhibit multiple fitness peaks, a biological system must contain reciprocal sign epistatic interactions, which are defined as genetic changes that are separately unfavorable but jointly advantageous. Using Morse theory, we argue that it is impossible to formulate a sufficient condition for multiple peaks in terms of local genetic interactions. These findings indicate that systems incapable of reciprocal sign epistasis will always possess a single fitness peak. However, reciprocal sign epistasis should be pervasive in nature as it is a logical consequence of specificity in molecular interactions. The results thus predict that specific molecular interactions may yield multiple fitness peaks, which can be tested experimentally.
Copyright © 2010 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2010        PMID: 21167837     DOI: 10.1016/j.jtbi.2010.12.015

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  69 in total

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7.  Bypass of genetic constraints during mutator evolution to antibiotic resistance.

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Journal:  Proc Biol Sci       Date:  2015-04-07       Impact factor: 5.349

8.  Computational Complexity as an Ultimate Constraint on Evolution.

Authors:  Artem Kaznatcheev
Journal:  Genetics       Date:  2019-03-04       Impact factor: 4.562

9.  The peaks and geometry of fitness landscapes.

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Journal:  J Theor Biol       Date:  2012-10-02       Impact factor: 2.691

10.  Evaluating the within-host fitness effects of mutations fixed during virus adaptation to different ecotypes of a new host.

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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-08-19       Impact factor: 6.237

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