Literature DB >> 25520361

Variation in Drosophila melanogaster central metabolic genes appears driven by natural selection both within and between populations.

Rodrigo Cogni1, Kate Kuczynski1, Erik Lavington1, Spencer Koury1, Emily L Behrman2, Katherine R O'Brien2, Paul S Schmidt2, Walter F Eanes3.   

Abstract

In this report, we examine the hypothesis that the drivers of latitudinal selection observed in the eastern US Drosophila melanogaster populations are reiterated within seasons in a temperate orchard population in Pennsylvania, USA. Specifically, we ask whether alleles that are apparently favoured in northern populations are also favoured early in the spring, and decrease in frequency from the spring to autumn with the population expansion. We use SNP data collected for 46 metabolic genes and 128 SNPs representing the central metabolic pathway and examine for the aggregate SNP allele frequencies whether the association of allele change with latitude and that with increasing days of spring-autumn season are reversed. Testing by random permutation, we observe a highly significant negative correlation between these associations that is consistent with this expectation. This correlation is stronger when we confine our analysis to only those alleles that show significant latitudinal changes. This pattern is not caused by association with chromosomal inversions. When data are resampled using SNPs for amino acid change the relationship is not significant but is supported when SNPs associated with cis-expression are only considered. Our results suggest that climate factors driving latitudinal molecular variation in a metabolic pathway are related to those operating on a seasonal level within populations.
© 2014 The Author(s) Published by the Royal Society. All rights reserved.

Entities:  

Keywords:  clines; metabolic genes; natural selection; seasonal selection

Mesh:

Substances:

Year:  2015        PMID: 25520361      PMCID: PMC4298213          DOI: 10.1098/rspb.2014.2688

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


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