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 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.
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Royal Society (Great Britain)
2015-12-07
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Subjects: | Natural selection, Molecular evolution, Models/simulations, Epistasis, Evolutionary systems biology, |
Online Access: | http://hdl.handle.net/10261/151338 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100004837 http://dx.doi.org/10.13039/501100002809 |
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dig-ibe-es-10261-1513382021-11-22T13:09:18Z Dynamic sensitivity and nonlinear interactions influence the system-level evolutionary patterns of phototransduction proteins Invergo, Brandon M. Montanucci, Ludovica Bertranpetit, Jaume Ministerio de Economía y Competitividad (España) Ministerio de Ciencia e Innovación (España) Generalitat de Catalunya Natural selection Molecular evolution Models/simulations Epistasis Evolutionary systems biology 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. 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.). Peer reviewed 2017-06-13T09:16:45Z 2017-06-13T09:16:45Z 2015-12-07 artículo http://purl.org/coar/resource_type/c_6501 Proceedings of the Royal Society of London - B 282(1820): 20152215 (2015) 0962-8452 http://hdl.handle.net/10261/151338 10.1098/rspb.2015.2215 1471-2954 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100004837 http://dx.doi.org/10.13039/501100002809 26631565 en #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/BFU2013-43726-P http://dx.doi.org/10.1098/rspb.2015.2215 Sí none Royal Society (Great Britain) |
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Natural selection Molecular evolution Models/simulations Epistasis Evolutionary systems biology Natural selection Molecular evolution Models/simulations Epistasis Evolutionary systems biology |
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Natural selection Molecular evolution Models/simulations Epistasis Evolutionary systems biology Natural selection Molecular evolution Models/simulations Epistasis Evolutionary systems biology Invergo, Brandon M. Montanucci, Ludovica Bertranpetit, Jaume Dynamic sensitivity and nonlinear interactions influence the system-level evolutionary patterns of phototransduction proteins |
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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. |
author2 |
Ministerio de Economía y Competitividad (España) |
author_facet |
Ministerio de Economía y Competitividad (España) Invergo, Brandon M. Montanucci, Ludovica Bertranpetit, Jaume |
format |
artículo |
topic_facet |
Natural selection Molecular evolution Models/simulations Epistasis Evolutionary systems biology |
author |
Invergo, Brandon M. Montanucci, Ludovica Bertranpetit, Jaume |
author_sort |
Invergo, Brandon M. |
title |
Dynamic sensitivity and nonlinear interactions influence the system-level evolutionary patterns of phototransduction proteins |
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 |
publisher |
Royal Society (Great Britain) |
publishDate |
2015-12-07 |
url |
http://hdl.handle.net/10261/151338 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100004837 http://dx.doi.org/10.13039/501100002809 |
work_keys_str_mv |
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_version_ |
1777668660958068736 |