Evidence map›Paper›PMID 39899595›Full record

ArticlePLoS computational biology2025

Capturing continuous, long timescale behavioral changes in Drosophila melanogaster postural data.

Grace C McKenzie-Smith, Scott W Wolf, Julien F Ayroles, Joshua W Shaevitz

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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  7. Article
  8. Article
  9. Life-long behavioral screen reveals an architecture of vertebrate aging.bioRxiv : the preprint server for biology · 2025
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  10. Automated identification of ataxia and convulsions in hyperexcitablebioRxiv : the preprint server for biology · 2025
    Article
  11. High-Throughput Tracking of Freely MovingbioRxiv : the preprint server for biology · 2025
    Article
  12. Article
  13. microPublication biology · 2025
    Article
  14. Article
  15. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Grace C McKenzie-SmithDepartment of Physics, Princeton University, Princeton, New Jersey, United States of America.ORCID 0000-0001-8428-0043
Scott W WolfLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America.
Julien F AyrolesLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America.
Joshua W ShaevitzDepartment of Physics, Princeton University, Princeton, New Jersey, United States of America.ORCID 0000-0001-8809-4723

Funding

A path to personalized phenotypic prediction: unlocking the context-dependency of allelic effectsR35GM124881 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Julien Ayroles · 2017 to 2026
$3.7M
Improved methods for inference of genotype-specific response to environmental toxinsR01ES029929 · NIEHS · PRINCETON UNIVERSITY · PI AYROLES, JULIEN, CLARK, ANDREW G · 2019 to 2023
$3.6M
NIEHS NIH HHS R01 ES029929NIGMS NIH HHS R35 GM124881
6 · The paper itself

Abstract

Animal behavior spans many timescales, from short, seconds-scale actions to daily rhythms over many hours to life-long changes during aging. To access longer timescales of behavior, we continuously recorded individual Drosophila melanogaster at 100 frames per second for up to 7 days at a time in featureless arenas on sucrose-agarose media. We use the deep learning framework SLEAP to produce a full-body postural dataset for 47 individuals resulting in nearly 2 billion pose instances. We identify stereotyped behaviors such as grooming, proboscis extension, and locomotion and use the resulting ethograms to explore how the flies' behavior varies across time of day and days in the experiment. We find distinct daily patterns in all stereotyped behaviors, adding specific information about trends in different grooming modalities, proboscis extension duration, and locomotion speed to what is known about the D. melanogaster circadian cycle. Using our holistic measurements of behavior, we find that the hour after dawn is a unique time point in the flies' daily pattern of behavior, and that the behavioral composition of this hour tracks well with other indicators of health such as locomotion speed and the fraction of time spend moving vs. resting. The method, data, and analysis presented here give us a new and clearer picture of D. melanogaster behavior across timescales, revealing novel features that hint at unexplored underlying biological mechanisms.

Indexed as

Behavior, AnimalDrosophila melanogasterPostureAnimalsCircadian RhythmComputational BiologyFemaleGroomingLocomotion

Identifiers

PMID39899595
PMCPMC11813078

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.