Cargando…
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...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6174885/ https://www.ncbi.nlm.nih.gov/pubmed/30310736 http://dx.doi.org/10.7717/peerj.5549 |
_version_ | 1783361368099913728 |
---|---|
author | Jiménez-Santos, María José Arenas, Miguel Bastolla, Ugo |
author_facet | Jiménez-Santos, María José Arenas, Miguel Bastolla, Ugo |
author_sort | Jiménez-Santos, María José |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-6174885 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-61748852018-10-11 Influence of mutation bias and hydrophobicity on the substitution rates and sequence entropies of protein evolution Jiménez-Santos, María José Arenas, Miguel Bastolla, Ugo PeerJ Bioinformatics 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. PeerJ Inc. 2018-10-05 /pmc/articles/PMC6174885/ /pubmed/30310736 http://dx.doi.org/10.7717/peerj.5549 Text en ©2018 Jiménez-Santos et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Jiménez-Santos, María José Arenas, Miguel Bastolla, Ugo Influence of mutation bias and hydrophobicity on the substitution rates and sequence entropies of protein evolution |
title | 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_short | 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 |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6174885/ https://www.ncbi.nlm.nih.gov/pubmed/30310736 http://dx.doi.org/10.7717/peerj.5549 |
work_keys_str_mv | AT jimenezsantosmariajose influenceofmutationbiasandhydrophobicityonthesubstitutionratesandsequenceentropiesofproteinevolution AT arenasmiguel influenceofmutationbiasandhydrophobicityonthesubstitutionratesandsequenceentropiesofproteinevolution AT bastollaugo influenceofmutationbiasandhydrophobicityonthesubstitutionratesandsequenceentropiesofproteinevolution |