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Transcriptional responses of ecologically diverse Drosophila species to larval diets differing in relative sugar and protein ratios
Author(s) -
Nestor O. Nazario-Yepiz,
Mariana Ramírez Loustalot-Laclette,
Javier Carpinteyro-Ponce,
Cei AbreuGoodger,
Therese A. Markow
Publication year - 2017
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0183007
Subject(s) - biology , sugar , drosophila melanogaster , interspecific competition , melanogaster , drosophila (subgenus) , larva , adaptation (eye) , drosophilidae , population , transcriptome , zoology , botany , ecology , gene , food science , gene expression , genetics , demography , neuroscience , sociology
We utilized three ecologically diverse Drosophila species to explore the influence of ecological adaptation on transcriptomic responses to isocaloric diets differing in their relative proportions of protein to sugar. Drosophila melanogaster , a cosmopolitan species that breeds in decaying fruit, exemplifies individuals long exposed to a Western diet higher in sugar, while the natural diet of the cactophilic D . mojavensis , is much lower in carbohydrates. Drosophila arizonae , the sister species of D. mojavensis, is largely cactophilic, but also utilizes rotting fruits that are higher in sugars than cacti. We exposed third instar larvae for 24 hours to diets either (1) high in protein relative to sugar, (2) diets with equal amounts of protein and sugar, and (3) diets low in protein but high in sugar. As we predicted, based upon earlier interspecific studies of development and metabolism, the most extreme differences in gene expression under different dietary conditions were found in D . mojavensis followed by D . arizonae . No differential expression among diets was observed for D . melanogaster , a species that survives well under all three conditions, with little impact on its metabolism. We suggest that these three species together provide a model to examine individual and population differences in vulnerability to lifestyle-associated health problems such as metabolic syndrome and diabetes.

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