Evidence map›Paper›PMID 34473052›Full record

ArticleeLife2021

A framework for studying behavioral evolution by reconstructing ancestral repertoires.

Damián G Hernández, Catalina Rivera, Jessica Cande, Baohua Zhou, David L Stern, Gordon J Berman

Abstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Multi-response phylogenetic mixed models: concepts and application.Biological reviews of the Cambridge Philosophical Society · 2025
    Review
  7. Is variation in female aggressiveness acrossProceedings. Biological sciences · 2025
    Article
  8. Review
  9. Uncovering multiscale structure in the variability of larval zebrafish navigation.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Article
  11. Article
  12. Fluctuating landscapes and heavy tails in animal behavior.bioRxiv : the preprint server for biology · 2023
    Article
  13. NAPS: Integrating pose estimation and tag-based tracking.Methods in ecology and evolution · 2023
    Article
  14. Review
  15. The what, how, and why of naturalistic behavior.Current opinion in neurobiology · 2022
    Review
  16. Article
  17. The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions.Advances in neural information processing systems · 2021
    Article
  18. Article
  19. Review
  20. Variation and Variability inFrontiers in behavioral neuroscience · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Damián G Hernández *Department of Physics, Emory University, Atlanta, United States.ORCID 0000-0002-8995-7495
Catalina Rivera *Department of Physics, Emory University, Atlanta, United States.
Jessica CandeJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.
Baohua ZhouDepartment of Physics, Emory University, Atlanta, United States.
David L SternJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.ORCID 0000-0002-1847-6483
Gordon J BermanDepartment of Physics, Emory University, Atlanta, United States.ORCID 0000-0003-3588-7820

Funding

CRCNS:Predictability as a New Paradigm for Rodent Social NeurobiologyR01MH115831 · NIMH · EMORY UNIVERSITY · PI BERMAN, GORDON JOSEPH, LIU, ROBERT C · 2017 to 2021
$2.2M
Howard Hughes Medical InstituteNIMH NIH HHS R01 MH115831
6 · The paper itself

Abstract

Although different animal species often exhibit extensive variation in many behaviors, typically scientists examine one or a small number of behaviors in any single study. Here, we propose a new framework to simultaneously study the evolution of many behaviors. We measured the behavioral repertoire of individuals from six species of fruit flies using unsupervised techniques and identified all stereotyped movements exhibited by each species. We then fit a Generalized Linear Mixed Model to estimate the intra- and inter-species behavioral covariances, and, by using the known phylogenetic relationships among species, we estimated the (unobserved) behaviors exhibited by ancestral species. We found that much of intra-specific behavioral variation has a similar covariance structure to previously described long-time scale variation in an individual's behavior, suggesting that much of the measured variation between individuals of a single species in our assay reflects differences in the status of neural networks, rather than genetic or developmental differences between individuals. We then propose a method to identify groups of behaviors that appear to have evolved in a correlated manner, illustrating how sets of behaviors, rather than individual behaviors, likely evolved. Our approach provides a new framework for identifying co-evolving behaviors and may provide new opportunities to study the mechanistic basis of behavioral evolution.

Indexed as

Behavior, AnimalBiological EvolutionAnimalsDrosophilaMaleModels, StatisticalPhylogenyVideo RecordingbehaviorD. melanogasterevolutionevolutionary biologyGLMMphysics of living systemsunsupervised learning

Identifiers

PMID34473052
PMCPMC8445618

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.