Distinct genomic signals of lifespan and life history evolution in response to postponed reproduction and larval diet in Drosophila

Katja M. Hoedjes, Joost van den Heuvel, Martin Kapun, Laurent Keller, Thomas Flatt, Bas J. Zwaan

    Research output: Contribution to JournalArticleAcademicpeer-review

    Abstract

    Reproduction and diet are two major factors controlling the physiology of aging and life history, but how they interact to affect the evolution of longevity is unknown. Moreover, although studies of large-effect mutants suggest an important role of nutrient sensing pathways in regulating aging, the genetic basis of evolutionary changes in lifespan remains poorly understood. To address these questions, we analyzed the genomes of experimentally evolved Drosophila melanogasterpopulations subjected to a factorial combination of two selection regimes: reproductive age (early versus postponed), and diet during the larval stage (“low,” “control,” “high”), resulting in six treatment combinations with four replicate populations each. Selection on reproductive age consistently affected lifespan, with flies from the postponed reproduction regime having evolved a longer lifespan. In contrast, larval diet affected lifespan only in early-reproducing populations: flies adapted to the “low” diet lived longer than those adapted to control diet. Here, we find genomic evidence for strong independent evolutionary responses to either selection regime, as well as loci that diverged in response to both regimes, thus representing genomic interactions between the two. Overall, we find that the genomic basis of longevity is largely independent of dietary adaptation. Differentiated loci were not enriched for “canonical” longevity genes, suggesting that naturally occurring genic targets of selection for longevity differ qualitatively from variants found in mutant screens. Comparing our candidate loci to those from other “evolve and resequence” studies of longevity demonstrated significant overlap among independent experiments. This suggests that the evolution of longevity, despite its presumed complex and polygenic nature, might be to some extent convergent and predictable.
    Original languageEnglish
    Pages (from-to)598-609
    Number of pages12
    JournalEvolution Letters
    Volume3
    Issue number6
    DOIs
    Publication statusPublished - Dec 2019

    Funding

    We thank Christina May for helpful discussions. This work was supported by the Novartis Foundation for Medical-Biological Research (grant 15B122 to KMH and LK), H2020-MSCA-IF-2015 (grant 701949 to KMH), the European Research Council (grant 741491 to LK), the Swiss National Science Foundation (grants PP00P3 165836 and 310030E-164207 to TF, grant 310030B 176406 to LK), the European Union through the Network of Excellence LifeSpan (grant FP6 036894 to BJZ), and the Large-Scale Collaborative Project IDEAL (grant FP7/2007-2011/259679 to BJZ). Parts of this paper were written while TF was a Visiting Professor in the Research Training Group “Evolutionary Pro-cesses in Adaptation and Disease” (EvoPAD) at the Institute for Evolution and Biodiversity, University of Münster, and supported by Mercator Fellowship from the German Research Foundation (DFG). DNA library preparation and sequencing were done by the Lausanne Genomic Technologies Facility (GTF). Computations were performed at the Vital-IT Center for high-performance computing of the SIB Swiss Institute of Bioinformatics (http://www.vital-it.ch). The authors declare no conflicts of interest. We thank Christina May for helpful discussions. This work was supported by the Novartis Foundation for Medical-Biological Research (grant 15B122 to KMH and LK), H2020-MSCA-IF-2015 (grant 701949 to KMH), the European Research Council (grant 741491 to LK), the Swiss National Science Foundation (grants PP00P3 165836 and 310030E-164207 to TF, grant 310030B 176406 to LK), the European Union through the Network of Excellence LifeSpan (grant FP6 036894 to BJZ), and the Large-Scale Collaborative Project IDEAL (grant FP7/2007-2011/259679 to BJZ). Parts of this paper were written while TF was a Visiting Professor in the Research Training Group “Evolutionary Processes in Adaptation and Disease” (EvoPAD) at the Institute for Evolution and Biodiversity, University of Münster, and supported by Mercator Fellowship from the German Research Foundation (DFG). DNA library preparation and sequencing were done by the Lausanne Genomic Technologies Facility (GTF). Computations were performed at the Vital-IT Center for high-performance computing of the SIB Swiss Institute of Bioinformatics (http://www.vital-it.ch). The authors declare no conflicts of interest.

    FundersFunder number
    Network of Excellence LifeSpanFP7/2007-2011/259679, FP6 036894
    Vital-IT Center
    Seventh Framework Programme701949, 259679, 741491
    European Commission
    European Research Council
    Deutsche Forschungsgemeinschaft
    Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungPP00P3 165836, 310030B 176406, 310030E-164207
    Novartis Stiftung für Medizinisch-Biologische Forschung15B122, H2020-MSCA-IF-2015
    Swiss Institute of Bioinformatics

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