Literature DB >> 35210579

Environmental selection and epistasis in an empirical phenotype-environment-fitness landscape.

J Z Chen1, D M Fowler2,3, N Tokuriki4.   

Abstract

Fitness landscapes, mappings of genotype/phenotype to their effects on fitness, are invaluable concepts in evolutionary biochemistry. Although widely discussed, measurements of phenotype-fitness landscapes in proteins remain scarce. Here, we quantify all single mutational effects on fitness and phenotype (EC50) of VIM-2 β-lactamase across a 64-fold range of ampicillin concentrations. We then construct a phenotype-fitness landscape that takes variations in environmental selection pressure into account. We found that a simple, empirical landscape accurately models the ~39,000 mutational data points, suggesting that the evolution of VIM-2 can be predicted on the basis of the selection environment. Our landscape provides new quantitative knowledge on the evolution of the β-lactamases and proteins in general, particularly their evolutionary dynamics under subinhibitory antibiotic concentrations, as well as the mechanisms and environmental dependence of non-specific epistasis.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2022        PMID: 35210579     DOI: 10.1038/s41559-022-01675-5

Source DB:  PubMed          Journal:  Nat Ecol Evol        ISSN: 2397-334X            Impact factor:   19.100


  64 in total

Review 1.  Missense meanderings in sequence space: a biophysical view of protein evolution.

Authors:  Mark A DePristo; Daniel M Weinreich; Daniel L Hartl
Journal:  Nat Rev Genet       Date:  2005-09       Impact factor: 53.242

Review 2.  An integrated view of protein evolution.

Authors:  Csaba Pál; Balázs Papp; Martin J Lercher
Journal:  Nat Rev Genet       Date:  2006-05       Impact factor: 53.242

Review 3.  Linking genotypes to phenotypes and fitness: how mechanistic biology can inform molecular ecology.

Authors:  Anne C Dalziel; Sean M Rogers; Patricia M Schulte
Journal:  Mol Ecol       Date:  2009-11-11       Impact factor: 6.185

4.  Biophysical principles predict fitness landscapes of drug resistance.

Authors:  João V Rodrigues; Shimon Bershtein; Anna Li; Elena R Lozovsky; Daniel L Hartl; Eugene I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-29       Impact factor: 11.205

5.  Limits of adaptation: the evolution of selective neutrality.

Authors:  D L Hartl; D E Dykhuizen; A M Dean
Journal:  Genetics       Date:  1985-11       Impact factor: 4.562

Review 6.  Bridging the physical scales in evolutionary biology: from protein sequence space to fitness of organisms and populations.

Authors:  Shimon Bershtein; Adrian Wr Serohijos; Eugene I Shakhnovich
Journal:  Curr Opin Struct Biol       Date:  2016-10-31       Impact factor: 6.809

7.  The biochemical architecture of an ancient adaptive landscape.

Authors:  Mark Lunzer; Stephen P Miller; Roderick Felsheim; Antony M Dean
Journal:  Science       Date:  2005-10-21       Impact factor: 47.728

8.  Experimental Determination and Prediction of the Fitness Effects of Random Point Mutations in the Biosynthetic Enzyme HisA.

Authors:  Erik Lundin; Po-Cheng Tang; Lionel Guy; Joakim Näsvall; Dan I Andersson
Journal:  Mol Biol Evol       Date:  2018-03-01       Impact factor: 16.240

Review 9.  Adaptive Landscapes in the Age of Synthetic Biology.

Authors:  Xiao Yi; Antony M Dean
Journal:  Mol Biol Evol       Date:  2019-05-01       Impact factor: 16.240

Review 10.  Recent insights into the genotype-phenotype relationship from massively parallel genetic assays.

Authors:  Harry Kemble; Philippe Nghe; Olivier Tenaillon
Journal:  Evol Appl       Date:  2019-08-11       Impact factor: 5.183

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