Wide‐ranging genetic variation in sensitivity to rapamycin in Drosophila melanogaster

Author:

Harrison Benjamin R.1ORCID,Lee Mitchell B.2,Zhang Shufan1,Young Bill1,Han Kenneth1,Sukomol Jiranut1,Paus Vanessa1,Tran Sarina1,Kim David1,Fitchett Hannah1,Pan Yu‐Chen1,Tesfaye Philmon1,Johnson Alia W.1ORCID,Zhao Xiaqing1,Djukovic Danijel3,Raftery Daniel3,Promislow Daniel E. L.145ORCID

Affiliation:

1. Department of Laboratory Medicine and Pathology University of Washington School of Medicine Seattle Washington USA

2. Ora Biomedical, Inc. Tukwila Washington USA

3. Northwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine University of Washington School of Medicine Seattle Washington USA

4. Department of Biology University of Washington Seattle Washington USA

5. Jean Mayer USDA Human Nutrition Research Center on Aging Tufts University Boston Massachusetts USA

Abstract

AbstractThe progress made in aging research using laboratory organisms is undeniable. Yet, with few exceptions, these studies are conducted in a limited number of isogenic strains. The path from laboratory discoveries to treatment in human populations is complicated by the reality of genetic variation in nature. To model the effect of genetic variation on the action of the drug rapamycin, here we use the growth of Drosophila melanogaster larvae. We screened 140 lines from the Drosophila Genetic References Panel for the extent of developmental delay and found wide‐ranging variation in their response, from lines whose development time is nearly doubled by rapamycin, to those that appear to be completely resistant. Sensitivity did not associate with any single genetic marker, nor with any gene. However, variation at the level of genetic pathways was associated with rapamycin sensitivity and might provide insight into sensitivity. In contrast to the genetic analysis, metabolomic analysis showed a strong response of the metabolome to rapamycin, but only among the sensitive larvae. In particular, we found that rapamycin altered levels of amino acids in sensitive larvae, and in a direction strikingly similar to the metabolome response to nutrient deprivation. This work demonstrates the need to evaluate interventions across genetic backgrounds and highlights the potential of omic approaches to reveal biomarkers of drug efficacy and to shed light on mechanisms underlying sensitivity to interventions aimed at increasing lifespan.

Funder

National Institutes of Health

Publisher

Wiley

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