4.6 Article

Heritability and Inter-Population Differences in Lipid Profiles of Drosophila melanogaster

Journal

PLOS ONE
Volume 8, Issue 8, Pages -

Publisher

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0072726

Keywords

-

Funding

  1. National Institutes of Health [DK074136]
  2. National Science Foundation [MCB 0455318, MCB 0920663, DBI 0521587]
  3. Kansas INBRE (NIH from INBRE program of the National Center for Research Resources) [P20 RR16475]
  4. NSF EPSCoR [EPS-0236913]
  5. Kansas Technology Enterprise Corporation
  6. Kansas State University
  7. Direct For Biological Sciences
  8. Div Of Molecular and Cellular Bioscience [0920663] Funding Source: National Science Foundation

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Characterizing and understanding the complex spectrum of lipids in higher organisms lags far behind our analysis of genome and transcriptome sequences. Here we generate and evaluate comprehensive lipid profiles (>200 lipids) of 92 inbred lines from five different Drosophila melanogaster populations. We find that the majority of lipid species are highly heritable, and even lipids with odd-chain fatty acids, which cannot be generated by the fly itself, also have high heritabilities. Abundance of the endosymbiont Wolbachia, a potential provider of odd-chained lipids, was positively correlated with this group of lipids. Additionally, we show that despite years of laboratory rearing on the same medium, the lipid profiles of the five geographic populations are sufficiently distinct for population discrimination. Our data predicts a strikingly different membrane fluidity for flies from the Netherlands, which is supported by their increased ethanol tolerance. We find that 18% of lipids show strong concentration differences between males and females. Through an analysis of the correlation structure of the lipid classes, we find modules of co-regulated lipids and begin to associate these with metabolic constraints. Our data provide a foundation for developing associations between variation in lipid composition with variation in other metabolic attributes, with genome-wide variation, and with metrics of health and overall reproductive fitness.

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