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Title: Comparative genomics of the vertebrate insulin/TOR signal transduction pathway: A network-level analysis of selective pressures
Author: Álvarez Ponce, David
Aguadé Porres, Montserrat
Rozas Liras, Julio A.
Keywords: Genètica del desenvolupament
Transducció de senyal cel·lular
Developmental genetics
Cellular signal transduction
Issue Date: 13-Dec-2010
Publisher: Oxford University Press
Abstract: Complexity of biological function relies on large networks of interacting molecules. However, the evolutionary properties of these networks are not fully understood. It has been shown that selective pressures depend on the position of genes in the network. We have previously shown that in the Drosophila insulin/target of rapamycin (TOR) signal transduction pathway there is a correlation between the pathway position and the strength of purifying selection, with the downstream genes being most constrained. In this study, we investigated the evolutionary dynamics of this well-characterized pathway in vertebrates. More specifically, we determined the impact of natural selection on the evolution of 72 genes of this pathway. We found that in vertebrates there is a similar gradient of selective constraint in the insulin/TOR pathway to that found in Drosophila. This feature is neither the result of a polarity in the impact of positive selection nor of a series of factors affecting selective constraint levels (gene expression level and breadth, codon bias, protein length, and connectivity). We also found that pathway genes encoding physically interacting proteins tend to evolve under similar selective constraints. The results indicate that the architecture of the vertebrate insulin/TOR pathway constrains the molecular evolution of its components. Therefore, the polarity detected in Drosophila is neither specific nor incidental of this genus. Hence, although the underlying biological mechanisms remain unclear, these may be similar in both vertebrates and Drosophila.
Note: network evolution
Note: Reproducció del document publicat a:
It is part of: Genome Biology Evolution, 2010, vol. 3, p. 87-101.
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ISSN: 1759-6653
Appears in Collections:Articles publicats en revistes (Genètica, Microbiologia i Estadística)

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