Abstract：
BACKGROUND:Drosophila melanogaster often shows correlations between latitude and phenotypic or genetic variation on different continents, which suggests local adaptation with respect to a heterogeneous environment. Previous phenotypic analyses of latitudinal clines have investigated mainly physiological, morphological, or life-history traits. Here, we studied latitudinal variation in sleep in D. melanogaster populations from North and Central America. In parallel, we used RNA-seq to identify interpopulation gene expression differences. RESULTS:We found that in D. melanogaster the average nighttime sleep bout duration exhibits a latitudinal cline such that sleep bouts of equatorial populations are roughly twice as long as those of temperate populations. Interestingly, this pattern of latitudinal variation is not observed for any daytime measure of activity or sleep. We also found evidence for geographic variation for sunrise anticipation. Our RNA-seq experiment carried out on heads from a low and high latitude population identified a large number of gene expression differences, most of which were time dependent. Differentially expressed genes were enriched in circadian regulated genes and enriched in genes potentially under spatially varying selection. CONCLUSION:Our results are consistent with a mechanistic and selective decoupling of nighttime and daytime activity. Furthermore, the present study suggests that natural selection plays a major role in generating transcriptomic variation associated with circadian behaviors. Finally, we identified genomic variants plausibly causally associated with the observed behavioral and transcriptomic variation.
journal_name
BMC Evol Bioljournal_title
BMC evolutionary biologyauthors
Svetec N,Zhao L,Saelao P,Chiu JC,Begun DJdoi
10.1186/s12862-015-0316-2subject
Has Abstractpub_date
2015-03-13 00:00:00pages
41issn
1471-2148pii
10.1186/s12862-015-0316-2journal_volume
15pub_type
杂志文章abstract：BACKGROUND:A widely-used approach for screening nuclear DNA markers is to obtain sequence data and use bioinformatic algorithms to estimate which two alleles are present in heterozygous individuals. It is common practice to omit unresolved genotypes from downstream analyses, but the implications of this have not been i...
journal_title：BMC evolutionary biology
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pub_type： 已发布勘误
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更新日期：2019-03-12 00:00:00
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更新日期：2008-08-19 00:00:00
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pub_type： 杂志文章
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更新日期：2017-01-23 00:00:00
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pub_type： 杂志文章
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更新日期：2011-05-09 00:00:00
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更新日期：2020-07-17 00:00:00
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