Influence of mutation bias and hydrophobicity on the substitution rates and sequence entropies of protein evolution

The number of amino acids that occupy a given protein site during evolution reflects the selective constraints operating on the site. This evolutionary variability is strongly influenced by the structural properties of the site in the native structure, and it is quantified either through sequence en...

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Main Authors: María José Jiménez-Santos, Miguel Arenas, Ugo Bastolla
Format: Article
Language:English
Published: PeerJ Inc. 2018-10-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/5549.pdf
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spelling doaj-987a4c6875ff4f27a127fc056a36e0122020-11-24T22:22:36ZengPeerJ Inc.PeerJ2167-83592018-10-016e554910.7717/peerj.5549Influence of mutation bias and hydrophobicity on the substitution rates and sequence entropies of protein evolutionMaría José Jiménez-Santos0Miguel Arenas1Ugo Bastolla2Bioinformatics Unit, Center for Molecular Biology Severo Ochoa, CSIC-UAM, Madrid, SpainDepartment of Biochemistry, Genetics and Immunology, University of Vigo, Vigo, SpainBioinformatics Unit, Center for Molecular Biology Severo Ochoa, CSIC-UAM, Madrid, SpainThe number of amino acids that occupy a given protein site during evolution reflects the selective constraints operating on the site. This evolutionary variability is strongly influenced by the structural properties of the site in the native structure, and it is quantified either through sequence entropy or through substitution rates. However, while the sequence entropy only depends on the equilibrium frequencies of the amino acids, the substitution rate also depends on the exchangeability matrix that describes mutations in the mathematical model of the substitution process. Here we apply two variants of a mathematical model of protein evolution with selection for protein stability, both against unfolding and against misfolding. Exploiting the approximation of independent sites, these models allow computing site-specific substitution processes that satisfy global constraints on folding stability. We find that site-specific substitution rates do not depend only on the selective constraints acting on the site, quantified through its sequence entropy. In fact, polar sites evolve faster than hydrophobic sites even for equal sequence entropy, as a consequence of the fact that polar amino acids are characterized by higher mutational exchangeability than hydrophobic ones. Accordingly, the model predicts that more polar proteins tend to evolve faster. Nevertheless, these results change if we compare proteins that evolve under different mutation biases, such as orthologous proteins in different bacterial genomes. In this case, the substitution rates are faster in genomes that evolve under mutational bias that favor hydrophobic amino acids by preferentially incorporating the nucleotide Thymine that is more frequent in hydrophobic codons. This appearingly contradictory result arises because buried sites occupied by hydrophobic amino acids are characterized by larger selective factors that largely amplify the substitution rate between hydrophobic amino acids, while the selective factors of exposed sites have a weaker effect. Thus, changes in the mutational bias produce deep effects on the biophysical properties of the protein (hydrophobicity) and on its evolutionary properties (sequence entropy and substitution rate) at the same time. The program Prot_evol that implements the two site-specific substitution processes is freely available at https://ub.cbm.uam.es/prot_fold_evol/prot_fold_evol_soft_main.php#Prot_Evol.https://peerj.com/articles/5549.pdfStability-constrained protein evolutionSubstitution ratesMutation bias
collection DOAJ
language English
format Article
sources DOAJ
author María José Jiménez-Santos
Miguel Arenas
Ugo Bastolla
spellingShingle María José Jiménez-Santos
Miguel Arenas
Ugo Bastolla
Influence of mutation bias and hydrophobicity on the substitution rates and sequence entropies of protein evolution
PeerJ
Stability-constrained protein evolution
Substitution rates
Mutation bias
author_facet María José Jiménez-Santos
Miguel Arenas
Ugo Bastolla
author_sort María José Jiménez-Santos
title Influence of mutation bias and hydrophobicity on the substitution rates and sequence entropies of protein evolution
title_short Influence of mutation bias and hydrophobicity on the substitution rates and sequence entropies of protein evolution
title_full Influence of mutation bias and hydrophobicity on the substitution rates and sequence entropies of protein evolution
title_fullStr Influence of mutation bias and hydrophobicity on the substitution rates and sequence entropies of protein evolution
title_full_unstemmed Influence of mutation bias and hydrophobicity on the substitution rates and sequence entropies of protein evolution
title_sort influence of mutation bias and hydrophobicity on the substitution rates and sequence entropies of protein evolution
publisher PeerJ Inc.
series PeerJ
issn 2167-8359
publishDate 2018-10-01
description The number of amino acids that occupy a given protein site during evolution reflects the selective constraints operating on the site. This evolutionary variability is strongly influenced by the structural properties of the site in the native structure, and it is quantified either through sequence entropy or through substitution rates. However, while the sequence entropy only depends on the equilibrium frequencies of the amino acids, the substitution rate also depends on the exchangeability matrix that describes mutations in the mathematical model of the substitution process. Here we apply two variants of a mathematical model of protein evolution with selection for protein stability, both against unfolding and against misfolding. Exploiting the approximation of independent sites, these models allow computing site-specific substitution processes that satisfy global constraints on folding stability. We find that site-specific substitution rates do not depend only on the selective constraints acting on the site, quantified through its sequence entropy. In fact, polar sites evolve faster than hydrophobic sites even for equal sequence entropy, as a consequence of the fact that polar amino acids are characterized by higher mutational exchangeability than hydrophobic ones. Accordingly, the model predicts that more polar proteins tend to evolve faster. Nevertheless, these results change if we compare proteins that evolve under different mutation biases, such as orthologous proteins in different bacterial genomes. In this case, the substitution rates are faster in genomes that evolve under mutational bias that favor hydrophobic amino acids by preferentially incorporating the nucleotide Thymine that is more frequent in hydrophobic codons. This appearingly contradictory result arises because buried sites occupied by hydrophobic amino acids are characterized by larger selective factors that largely amplify the substitution rate between hydrophobic amino acids, while the selective factors of exposed sites have a weaker effect. Thus, changes in the mutational bias produce deep effects on the biophysical properties of the protein (hydrophobicity) and on its evolutionary properties (sequence entropy and substitution rate) at the same time. The program Prot_evol that implements the two site-specific substitution processes is freely available at https://ub.cbm.uam.es/prot_fold_evol/prot_fold_evol_soft_main.php#Prot_Evol.
topic Stability-constrained protein evolution
Substitution rates
Mutation bias
url https://peerj.com/articles/5549.pdf
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