FB2026_01 , released March 12, 2026
FB2026_01 , released March 12, 2026
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Citation
Alvarez-Ponce, D., Guirao-Rico, S., Orengo, D.J., Segarra, C., Rozas, J., Aguadé, M. (2012). Molecular Population Genetics of the Insulin/TOR Signal Transduction Pathway: A Network-Level Analysis in Drosophila melanogaster.  Mol. Biol. Evol. 29(1): 123--132.
FlyBase ID
FBrf0217435
Publication Type
Research paper
Abstract
The IT-insulin/target of rapamycin (TOR)-signal transduction pathway is a relatively well-characterized pathway that plays a central role in fundamental biological processes. Network-level analyses of DNA divergence in Drosophila and vertebrates have revealed a clear gradient in the levels of purifying selection along this pathway, with the downstream genes being the most constrained. Remarkably, this feature does not result from factors known to affect selective constraint such as gene expression, codon bias, protein length, and connectivity. The present work aims to establish whether the selective constraint gradient detected along the IT pathway at the between-species level can also be observed at a shorter time scale. With this purpose, we have surveyed DNA polymorphism in Drosophila melanogaster and divergence from D. simulans along the IT pathway. Our network-level analysis shows that DNA polymorphism exhibits the same polarity in the strength of purifying selection as previously detected at the divergence level. This equivalent feature detected both within species and between closely and distantly related species points to the action of a general mechanism, whose action is neither organism specific nor evolutionary time dependent. The detected polarity would be, therefore, intrinsic to the IT pathway architecture and function.
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    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Mol. Biol. Evol.
    Title
    Molecular Biology and Evolution
    Publication Year
    1983-
    ISBN/ISSN
    0737-4038 1537-1719
    Data From Reference
    Genes (13)