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MBE Advance Access originally published online on February 24, 2007
Molecular Biology and Evolution 2007 24(5):1122-1129; doi:10.1093/molbev/msm032
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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 Articles

Genome Scans of Variation and Adaptive Change: Extended Analysis of a Candidate Locus Close to the phantom Gene Region in Drosophila melanogaster

Dorcas J. Orengo and Montserrat Aguadé

Departament de Genètica, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain

E-mail: dorcasorengo{at}ub.edu.

Accepted for publication February 16, 2007.

Nucleotide variation in populations originating from the recent range expansion of a species should reflect their adaptation to new habitats as well as their demographic history. A survey of nucleotide variation at 109 noncoding X-chromosome fragments in a European population of Drosophila melanogaster allowed identifying some candidates to have been recently affected by positive selection. Adaptive changes leave a spatial differential footprint that can be used to discriminate among candidates by extending their study to neighboring regions. Here, we surveyed variation at an ~190-kb region spanning a locus exhibiting a significantly skewed frequency spectrum. A stretch of ~12 kb with reduced variation was detected within a continuously sequenced region that included the focal fragment. Moreover, the regions flanking this stretch exhibited an excess of high-frequency derived variants. Application of maximum likelihood ratio and goodness-of-fit tests suggested that the pattern of variation detected at the studied region (at cytological bands 17C–17D) might have been shaped by a recent selective change, most probably at or around the phantom gene that encodes CYP306A1, a cytochrome P450 enzyme in the ecdysteroidogenic pathway.

Key Words: Drosophila melanogaster • nucleotide polymorphism • positive selection

Marcy Uyenoyama, Associate Editor


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