Literature DB >> 17379620

Adaptive evolution of metabolic pathways in Drosophila.

J M Flowers1, E Sezgin, S Kumagai, D D Duvernell, L M Matzkin, P S Schmidt, W F Eanes.   

Abstract

The adaptive significance of enzyme variation has been of central interest in population genetics. Yet, how natural selection operates on enzymes in the larger context of biochemical pathways has not been broadly explored. A basic expectation is that natural selection on metabolic phenotypes will target enzymes that control metabolic flux, but how adaptive variation is distributed among enzymes in metabolic networks is poorly understood. Here, we use population genetic methods to identify enzymes responding to adaptive selection in the pathways of central metabolism in Drosophila melanogaster and Drosophila simulans. We report polymorphism and divergence data for 17 genes that encode enzymes of 5 metabolic pathways that converge at glucose-6-phosphate (G6P). Deviations from neutral expectations were observed at five loci. Of the 10 genes that encode the enzymes of glycolysis, only aldolase (Ald) deviated from neutrality. The other 4 genes that were inconsistent with neutral evolution (glucose-6-phosphate dehydrogenase [G6pd]), phosphoglucomutase [Pgm], trehalose-6-phosphate synthetase [Tps1], and glucose-6phosphatase [G6pase] encode G6P branch point enzymes that catalyze reactions at the entry point to the pentose-phosphate, glycogenic, trehalose synthesis, and gluconeogenic pathways. We reconcile these results with population genetics theory and existing arguments on metabolic regulation and propose that the incidence of adaptive selection in this system is related to the distribution of flux control. The data suggest that adaptive evolution of G6P branch point enzymes may have special significance in metabolic adaptation.

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Year:  2007        PMID: 17379620     DOI: 10.1093/molbev/msm057

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  53 in total

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2.  Genetic perturbation of key central metabolic genes extends lifespan in Drosophila and affects response to dietary restriction.

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

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Review 4.  Experimental approaches to evaluate the contributions of candidate protein-coding mutations to phenotypic evolution.

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Journal:  Methods Mol Biol       Date:  2011

5.  Variation in constraint versus positive selection as an explanation for evolutionary rate variation among anthocyanin genes.

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6.  Network-level molecular evolutionary analysis of the insulin/TOR signal transduction pathway across 12 Drosophila genomes.

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7.  Evolutionary constraint and adaptation in the metabolic network of Drosophila.

Authors:  Anthony J Greenberg; Sarah R Stockwell; Andrew G Clark
Journal:  Mol Biol Evol       Date:  2008-09-17       Impact factor: 16.240

8.  The evolution of control and distribution of adaptive mutations in a metabolic pathway.

Authors:  Kevin M Wright; Mark D Rausher
Journal:  Genetics       Date:  2009-12-04       Impact factor: 4.562

Review 9.  Genomic insights into adaptation to high-altitude environments.

Authors:  Z A Cheviron; R T Brumfield
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10.  Discovering genes associated with dormancy in the monogonont rotifer Brachionus plicatilis.

Authors:  Nadav Y Denekamp; Michael A S Thorne; Melody S Clark; Michael Kube; Richard Reinhardt; Esther Lubzens
Journal:  BMC Genomics       Date:  2009-03-13       Impact factor: 3.969

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