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Genes Belonging to the Insulin and Ecdysone Signaling Pathways Can Contribute to Developmental Time, Lifespan and Abdominal Size Variation in Drosophila americana

Overview of attention for article published in PLOS ONE, January 2014
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Title
Genes Belonging to the Insulin and Ecdysone Signaling Pathways Can Contribute to Developmental Time, Lifespan and Abdominal Size Variation in Drosophila americana
Published in
PLOS ONE, January 2014
DOI 10.1371/journal.pone.0086690
Pubmed ID
Authors

Micael Reis, Inês Páscoa, Helder Rocha, Bruno Aguiar, Cristina P. Vieira, Jorge Vieira

Abstract

Even within a single genus, such as Drosophila, cases of lineage-specific adaptive evolution have been found. Therefore, the molecular basis of phenotypic variation must be addressed in more than one species group, in order to infer general patterns. In this work, we used D. americana, a species distantly-related to D. melanogaster, to perform an F2 association study for developmental time (DT), chill-coma recovery time (CRT), abdominal size (AS) and lifespan (LS) involving the two strains (H5 and W11) whose genomes have been previously sequenced. Significant associations were found between the 43 large indel markers developed here and DT, AS and LS but not with CRT. Significant correlations are also found between DT and LS, and between AS and LS, that might be explained by variation at genes belonging to the insulin and ecdysone signaling pathways. Since, in this F2 association study a single marker, located close to the Ecdysone receptor (EcR) gene, explained as much as 32.6% of the total variation in DT, we performed a second F2 association study, to determine whether large differences in DT are always due to variation in this genome region. No overlapping signal was observed between the two F2 association studies. Overall, these results illustrate that, in D. americana, pleiotropic genes involved in the highly-conserved insulin and ecdysone signaling pathways are likely responsible for variation observed in ecologically relevant phenotypic traits, although other genes are also involved.

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Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 44%
Student > Ph. D. Student 8 32%
Student > Doctoral Student 1 4%
Librarian 1 4%
Other 1 4%
Other 1 4%
Unknown 2 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 48%
Biochemistry, Genetics and Molecular Biology 5 20%
Neuroscience 2 8%
Computer Science 1 4%
Veterinary Science and Veterinary Medicine 1 4%
Other 2 8%
Unknown 2 8%