ArticleAging cell2024
Wide-ranging genetic variation in sensitivity to rapamycin in Drosophila melanogaster.
Article in Aging cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Natural Genetic Variation Impacts Stress-Induced Quiescence and Regeneration in Response to Rapamycin.Cells · 2026Article
- Rapamycin Differentially Impacts Germline Stem Cell Quiescence Across Diverse Genetic Backgrounds ofbioRxiv : the preprint server for biology · 2025Article
- Tissue-specific metabolomic signatures for aRoyal Society open science · 2025Article
- Wide-ranging genetic variation in sensitivity to rapamycin in Drosophila melanogaster.Aging cell · 2024Article
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Authors and funding
17 authors.
Funding
Abstract
The 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.
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