Evidence map›Paper›PMID 42118675›Full record

ArticleeLife2026

Drift in individual behavioral phenotype as a strategy for unpredictable worlds.

Ryan T Maloney, Athena Q Ye, Sam-Keny Saint-Pre, Tom Alisch, David M Zimmerman, Nicole C Pittoors, Benjamin L de Bivort

Abstract read
In one paragraph

Article in eLife, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Dynamical modeling of individual sensory reactivity and habituation learning.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Ryan T MaloneyDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, United States.ORCID https://orcid.org/0000-0002-6111-7822
Athena Q YeDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, United States.
Sam-Keny Saint-PreDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, United States.
Tom AlischDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, United States.ORCID https://orcid.org/0000-0001-7884-7031
David M ZimmermanDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, United States.ORCID https://orcid.org/0000-0002-8344-7072
Nicole C PittoorsDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, United States.ORCID https://orcid.org/0000-0001-6581-9568
Benjamin L de BivortDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, United States.ORCID https://orcid.org/0000-0001-6165-7696

Funding

Harvard Brain Institute Postdoctoral Pioneers AwardNINDS NIH HHS R01NS121874-01
6 · The paper itself

Abstract

Individuals, even with matched genetics and environment, show substantial phenotypic variability. This variability may be part of a bet-hedging strategy, where populations express a range of phenotypes to ensure survival in unpredictable environments. In addition, phenotypic variability between individuals ('bet-hedging'), individuals also show variability in their phenotype across time, even absent external cues. There are few evolutionary theories that explain random shifts in phenotype across an animal's life, which we term drift in individual phenotype. We use individuality in locomotor handedness in

Indexed as

Behavior, AnimalDrosophila melanogasterAnimalsFemalePhenotypeSerotoninSerotoninbehaviorbehavioral ecologybet-hedgingD. melanogasterecologyindividualityneuromodulationneuroscienceserotonin

Identifiers

PMID42118675
PMCPMC13167111

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.