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A system-level, molecular evolutionary analysis of mammalian phototransduction

Authors :
Hafid Laayouni
Ludovica Montanucci
Brandon M. Invergo
Jaume Bertranpetit
Ministerio de Ciencia y Tecnología (España)
Generalitat de Catalunya
Ministerio de Ciencia e Innovación (España)
Source :
Recercat. Dipósit de la Recerca de Catalunya, instname, Digital.CSIC. Repositorio Institucional del CSIC, BMC Evolutionary Biology
Publication Year :
2013
Publisher :
BioMed Central, 2013.

Abstract

Background Visual perception is initiated in the photoreceptor cells of the retina via the phototransduction system. This system has shown marked evolution during mammalian divergence in such complex attributes as activation time and recovery time. We have performed a molecular evolutionary analysis of proteins involved in mammalian phototransduction in order to unravel how the action of natural selection has been distributed throughout the system to evolve such traits. Results We found selective pressures to be non-randomly distributed according to both a simple protein classification scheme and a protein-interaction network representation of the signaling pathway. Proteins which are topologically central in the signaling pathway, such as the G proteins, as well as retinoid cycle chaperones and proteins involved in photoreceptor cell-type determination, were found to be more constrained in their evolution. Proteins peripheral to the pathway, such as ion channels and exchangers, as well as the retinoid cycle enzymes, have experienced a relaxation of selective pressures. Furthermore, signals of positive selection were detected in two genes: the short-wave (blue) opsin (OPN1SW) in hominids and the rod-specific N a +/ C a 2+, K + ion exchanger (SLC24A1) in rodents. Conclusions The functions of the proteins involved in phototransduction and the topology of the interactions between them have imposed non-random constraints on their evolution. Thus, in shaping or conserving system-level phototransduction traits, natural selection has targeted the underlying proteins in a concerted manner.<br />This research was funded by grant BFU2010-19443 (subprogram BMC) awarded by Ministerio de Ciencia y Tecnología (Spain) and by the Direcció General de Recerca, Generalitat de Catalunya (Grup de Recerca Consolidat 2009SGR 1101). BI is supported by a FI-DGR from AGAUR, Generalitat de Catalunya (2011F1_B1 00275). LM acknowledges funding from the Juan de la Cierva Program of the Spanish Ministry of Science and Innovation (MICINN).

Details

Language :
English
Database :
OpenAIRE
Journal :
Recercat. Dipósit de la Recerca de Catalunya, instname, Digital.CSIC. Repositorio Institucional del CSIC, BMC Evolutionary Biology
Accession number :
edsair.doi.dedup.....da08af4a31ed7dfbd7978485fca13885
Full Text :
https://doi.org/10.1186/1471-2148-13-52