Dynamic sensitivity and nonlinear interactions influence the system-level evolutionary patterns of phototransduction proteins

Determining the influence of complex, molecular-system dynamics on the evolution of proteins is hindered by the significant challenge of quantifying the control exerted by the proteins on system output. We have employed a combination of systems biology and molecular evolution analyses in a first att...

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Authors: Invergo, Brandon M., 1982-, Montanucci, Ludovica, 1978-, Bertranpetit, Jaume, 1952-
Format: article
Status:Versión aceptada para publicación
Publication Date:2015
Country:España
Institution:Universitat Pompeu Fabra
Repository:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/34402
Online Access:http://hdl.handle.net/10230/34402
http://dx.doi.org/10.1098/rspb.2015.2215
Access Level:Open access
Keyword:Evolució molecular
Transducció de senyal cel·lular
Proteïnes
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repository_id_str
spelling Dynamic sensitivity and nonlinear interactions influence the system-level evolutionary patterns of phototransduction proteinsInvergo, Brandon M., 1982-Montanucci, Ludovica, 1978-Bertranpetit, Jaume, 1952-Evolució molecularTransducció de senyal cel·lularProteïnesDetermining the influence of complex, molecular-system dynamics on the evolution of proteins is hindered by the significant challenge of quantifying the control exerted by the proteins on system output. We have employed a combination of systems biology and molecular evolution analyses in a first attempt to unravel this relationship. We employed a comprehensive mathematical model of mammalian phototransduction to predict the degree of influence that each protein in the system exerts on the high-level dynamic behaviour. We found that the genes encoding the most dynamically sensitive proteins exhibit relatively relaxed evolutionary constraint. We also investigated the evolutionary and epistatic influences of the many nonlinear interactions between proteins in the system and found several pairs to have coevolved, including those whose interactions are purely dynamical with respect to system output. This evidence points to a key role played by nonlinear system dynamics in influencing patterns of molecular evolution.This work was supported by the Ministerio de Economia y Competitividad, Spain (grant no. BFU2013-43726-P, subprogram BMC) and the María de Maez to Program for Units of Excellence in R&D (MDM-2014-0370); the Departament d'Economia i Coneixement de la Generalitat de Catalunya (Grup de Recerca Consolidat GRC 2014 SGR 866); AGAUR, Generalitat de Catalunya (2011 FI BI 00275 to B.M.I.); and the Spanish Ministry of Science and Innovation (MICINN) (Juan de la Cierva Program to L.M.)Royal Society201820182015info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/34402http://dx.doi.org/10.1098/rspb.2015.2215reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésProceedings. Biological sciences. 2015 Dec 7;282(1820):20152215info:eu-repo/grantAgreement/ES/1PE/BFU2013-43726-P© The Royal Society. http://dx.doi.org/10.1098/rspb.2015.2215info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/344022026-06-12T07:21:37Z
dc.title.none.fl_str_mv Dynamic sensitivity and nonlinear interactions influence the system-level evolutionary patterns of phototransduction proteins
title Dynamic sensitivity and nonlinear interactions influence the system-level evolutionary patterns of phototransduction proteins
spellingShingle Dynamic sensitivity and nonlinear interactions influence the system-level evolutionary patterns of phototransduction proteins
Invergo, Brandon M., 1982-
Evolució molecular
Transducció de senyal cel·lular
Proteïnes
title_short Dynamic sensitivity and nonlinear interactions influence the system-level evolutionary patterns of phototransduction proteins
title_full Dynamic sensitivity and nonlinear interactions influence the system-level evolutionary patterns of phototransduction proteins
title_fullStr Dynamic sensitivity and nonlinear interactions influence the system-level evolutionary patterns of phototransduction proteins
title_full_unstemmed Dynamic sensitivity and nonlinear interactions influence the system-level evolutionary patterns of phototransduction proteins
title_sort Dynamic sensitivity and nonlinear interactions influence the system-level evolutionary patterns of phototransduction proteins
dc.creator.none.fl_str_mv Invergo, Brandon M., 1982-
Montanucci, Ludovica, 1978-
Bertranpetit, Jaume, 1952-
author Invergo, Brandon M., 1982-
author_facet Invergo, Brandon M., 1982-
Montanucci, Ludovica, 1978-
Bertranpetit, Jaume, 1952-
author_role author
author2 Montanucci, Ludovica, 1978-
Bertranpetit, Jaume, 1952-
author2_role author
author
dc.subject.none.fl_str_mv Evolució molecular
Transducció de senyal cel·lular
Proteïnes
topic Evolució molecular
Transducció de senyal cel·lular
Proteïnes
description Determining the influence of complex, molecular-system dynamics on the evolution of proteins is hindered by the significant challenge of quantifying the control exerted by the proteins on system output. We have employed a combination of systems biology and molecular evolution analyses in a first attempt to unravel this relationship. We employed a comprehensive mathematical model of mammalian phototransduction to predict the degree of influence that each protein in the system exerts on the high-level dynamic behaviour. We found that the genes encoding the most dynamically sensitive proteins exhibit relatively relaxed evolutionary constraint. We also investigated the evolutionary and epistatic influences of the many nonlinear interactions between proteins in the system and found several pairs to have coevolved, including those whose interactions are purely dynamical with respect to system output. This evidence points to a key role played by nonlinear system dynamics in influencing patterns of molecular evolution.
publishDate 2015
dc.date.none.fl_str_mv 2015
2018
2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/34402
http://dx.doi.org/10.1098/rspb.2015.2215
url http://hdl.handle.net/10230/34402
http://dx.doi.org/10.1098/rspb.2015.2215
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Proceedings. Biological sciences. 2015 Dec 7;282(1820):20152215
info:eu-repo/grantAgreement/ES/1PE/BFU2013-43726-P
dc.rights.none.fl_str_mv © The Royal Society. http://dx.doi.org/10.1098/rspb.2015.2215
info:eu-repo/semantics/openAccess
rights_invalid_str_mv © The Royal Society. http://dx.doi.org/10.1098/rspb.2015.2215
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Royal Society
publisher.none.fl_str_mv Royal Society
dc.source.none.fl_str_mv reponame:Repositorio Digital de la UPF
instname:Universitat Pompeu Fabra
instname_str Universitat Pompeu Fabra
reponame_str Repositorio Digital de la UPF
collection Repositorio Digital de la UPF
repository.name.fl_str_mv
repository.mail.fl_str_mv
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