Literature DB >> 20590334

Multiple peaks and reciprocal sign epistasis in an empirically determined genotype-phenotype landscape.

Alexandre Dawid1, Daniel J Kiviet, Manjunatha Kogenaru, Marjon de Vos, Sander J Tans.   

Abstract

Insight into the ruggedness of adaptive landscapes is central to understanding the mechanisms and constraints that shape the course of evolution. While empirical data on adaptive landscapes remain scarce, a handful of recent investigations have revealed genotype-phenotype and genotype-fitness landscapes that appeared smooth and single peaked. Here, we used existing in vivo measurements on lac repressor and operator mutants in Escherichia coli to reconstruct the genotype-phenotype map that details the repression value of this regulatory system as a function of two key repressor residues and four key operator base pairs. We found that this landscape is multipeaked, harboring in total 19 distinct optima. Analysis showed that all direct evolutionary pathways between peaks involve significant dips in the repression value. Consistent with earlier predictions, we found reciprocal sign epistatic interactions at the repression minimum of the most favorable paths between two peaks. These results suggest that the occurrence of multiple peaks and reciprocal epistatic interactions may be a general feature in coevolving systems like the repressor-operator pair studied here. (c) 2010 American Institute of Physics.

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Year:  2010        PMID: 20590334     DOI: 10.1063/1.3453602

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  21 in total

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7.  Evolution of pleiotropy: epistatic interaction pattern supports a mechanistic model underlying variation in genotype-phenotype map.

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

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Review 9.  Factors shaping the adaptive landscape for arboviruses: implications for the emergence of disease.

Authors:  Lark L Coffey; Naomi Forrester; Konstantin Tsetsarkin; Nikos Vasilakis; Scott C Weaver
Journal:  Future Microbiol       Date:  2013-02       Impact factor: 3.165

10.  Amino acid positions subject to multiple coevolutionary constraints can be robustly identified by their eigenvector network centrality scores.

Authors:  Daniel J Parente; J Christian J Ray; Liskin Swint-Kruse
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