Evidence map›Paper›PMID 40326415›Full record

ArticleGenome biology and evolution2025

Selection for Early Reproduction Leads to Accelerated Aging and Extensive Metabolic Remodeling in Drosophila melanogaster.

David L Hubert, Kenneth R Arnold, Zachary S Greenspan, Anastasia Pupo, Ryan D Robinson, Valeria V Chavarin, Thomas T Barter, Danijel Djukovic, Daniel Raftery, Zer Vue and 4 more

Abstract read
In one paragraph

Article in Genome biology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Beyond Fixation: Persistent Genetic Variation Under Intense Selection.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

David L HubertDepartment of Integrative Biology, Oregon State University, Corvallis, OR 97331, USA.ORCID 0009-0004-0069-8266
Kenneth R ArnoldDepartment of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697, USA.ORCID 0000-0003-1223-0260
Zachary S GreenspanDepartment of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697, USA.ORCID 0009-0002-0843-7779
Anastasia PupoDepartment of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697, USA.ORCID 0009-0004-3511-0776
Ryan D RobinsonDepartment of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697, USA.ORCID 0009-0005-6662-9156
Valeria V ChavarinDepartment of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697, USA.ORCID 0009-0005-5089-2574
Thomas T BarterChildren's Hospital Los Angeles, Los Angeles, CA 90027, USA.ORCID 0000-0003-3374-8181
Danijel DjukovicNorthwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0001-5954-8810
Daniel RafteryNorthwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0003-2467-8118
Zer VueDepartment of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 37232, USA.ORCID 0000-0002-3502-8906
Antentor HintonDepartment of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 37232, USA.ORCID 0000-0002-7730-952X
Melanie R McReynoldsDepartment of Biochemistry and Molecular Biology, The Huck Institutes of the Life Sciences Pennsylvania State University, University Park, PA 16802, USA.ORCID 0000-0001-5427-2739
Benjamin R HarrisonNorthwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0002-4268-7686
Mark A PhillipsDepartment of Integrative Biology, Oregon State University, Corvallis, OR 97331, USA.ORCID 0000-0002-2319-7913

Funding

Vanderbilt Diabetes Research CenterP30DK020593 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI OWEN P MCGUINNESS · 2012 to 2026
$29.3M
University of Washington Nathan Shock Center of Excellence in the Basic Biology of AgingP30AG013280 · NIA · UNIVERSITY OF WASHINGTON · PI Maitreya J Dunham · 1995 to 2026
$27.1M
Combining experimental evolution and molecular phenotyping to understand variation in organismal phenotypesR35GM155286 · NIGMS · OREGON STATE UNIVERSITY · PI Mark A Phillips · 2024 to 2026
$1.1M
Multiplexed UPLC-MS/MS System for Advanced Target MetabolomicsS10OD021562 · OD · UNIVERSITY OF WASHINGTON · PI RAFTERY, DANIEL · 2016 to 2016
$596k
Burroughs Welcome Fund # 1021868.01Burroughs Welcome Fund PDEP Transition to Faculty Grant# 1022604Chan Zuckerberg Initiative DAFCZI Science Diversity Leadership 2022-253529Howard Hughes Medical Institute Hanna H. Gray Fellows Program Faculty Phase Grant# GT15655Nathan Shock Center for Excellence in Basic Biology of Aging NIH P30 AG013280National Institutes of Health Maximizing Investigators' NIH R35GM155286National Institutes of Health PRIDE Program DK020593NIA NIH HHS P30 AG013280NIDDK NIH HHS P30 DK020593NIGMS NIH HHS R35 GM155286NIH HHS NIH S10 OD021562NIH HHS S10 OD021562NIH Small Research Pilot SubawardSilicon Valley Community FoundationUNCF/Bristol-Myers Squibb E.E. Just Faculty FundVanderbilt Diabetes and Research Training Center for DRTC Alzheimer's Disease Pilot & Feasibility Program
6 · The paper itself

Abstract

Experimental evolution studies that feature selection on life-history characters are a proven approach for studying the evolution of aging and variation in rates of senescence. Recently, the incorporation of genomic and transcriptomic approaches into this framework has led to the identification of hundreds of genes associated with different aging patterns. However, our understanding of the specific molecular mechanisms underlying these aging patterns remains limited. Here, we incorporated extensive metabolomic profiling into this framework to generate mechanistic insights into aging patterns in Drosophila melanogaster. Specifically, we characterized metabolomic change over adult lifespan in populations of D. melanogaster where selection for early reproduction has led to an accelerated aging phenotype relative to their controls. Using these data, we (i) evaluated evolutionary repeatability across the metabolome; (ii) assessed the value of the metabolome as a predictor of "biological age" in this system; and (iii) identified specific metabolites associated with accelerated aging. Generally, our findings suggest that selection for early reproduction resulted in highly repeatable alterations to the metabolome and the metabolome itself is a reliable predictor of "biological age". Specifically, we find clusters of metabolites that are associated with the different rates of senescence observed between our accelerated aging population and their controls, adding new insights into the metabolites that may be driving the accelerated aging phenotype.

Indexed as

AgingDrosophila melanogasterMetabolomeSelection, GeneticAnimalsFemaleLongevityMaleMetabolomicsReproductionagingclockDrosophilaexperimental evolutionmetabolomicmetabolomics

Identifiers

PMID40326415
PMCPMC12093319

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.