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MBE Advance Access published online on March 22, 2007

Molecular Biology and Evolution, doi:10.1093/molbev/msm057
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© The Author 2007. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org

Research Article

Adaptive Evolution of Metabolic Pathways in Drosophila

JM Flowers*,{dagger}, E Sezgin*,{ddagger}, S Kumagai*, DD Duvernell*,§, LM Matzkin*, PS Schmidt*,|| and WF Eanes*

* Department of Ecology and Evolution, Stony Brook University, 650 Life Sciences Building, Stony Brook, NY 11794-5245, USA
{ddagger} Present Address: Laboratory of Genomic Diversity, National Cancer Institute, Frederick, MD 21702, USA
§ Present Address: Department of Biological Sciences, Southern Illinois University, Edwardsville, IL 62026, USA
Present Address: Department of Ecology and Evolutionary Biology, University of Arizona, Biosciences, West 310, 1041 E. Lowell St., Tucson, AZ 85721-0088, USA
|| Present Address: Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA

{dagger} Corresponding Author: Jonathan M. Flowers, Email: jmflower{at}life.bio.sunysb.edu; Ph: 631-632-8586; Fax: 631-632-7626

Received for publication February 22, 2007. Revision received March 5, 2007. Accepted for publication March 15, 2007.

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 D. simulans. We report polymorphism and divergence data for 17 genes that encode enzymes of five 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 four genes that were inconsistent with neutral evolution encode G6P branch point enzymes that catalyze reactions at the entry point to the pentose-phosphate (G6pd), glycogenic (Pgm), trehalose synthesis (Tps1), and gluconeogenic (G6pase) 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.

Key Words: positive selection • network evolution • population genomics • adaptation • systems biology


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