Evidence map›Paper›PMID 31679941›Full record

ArticleCurrent biology : CB2019

Coupled Active Systems Encode an Emergent Hunting Behavior in the Unicellular Predator Lacrymaria olor.

Scott M Coyle, Eliott M Flaum, Hongquan Li, Deepak Krishnamurthy, Manu Prakash

Open access · bronzeAbstract read
In one paragraph

Article in Current biology : CB, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.0field-weighted citation impact, top 15% of its field
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

25 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
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  3. Study of Unconventional Cytoskeleton Components Regulating Actin Contraction.Methods in molecular biology (Clifton, N.J.) · 2026
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  5. A self-organizing single-cell morphology circuit optimizesbioRxiv : the preprint server for biology · 2025
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  6. Review
  7. Decoding ultrasensitive self-assembly of the calcium-regulatedbioRxiv : the preprint server for biology · 2025
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  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Emergent programmable behavior and chaos in dynamically driven active filaments.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  18. A unified model for the dynamics of ATP-independent ultrafast contraction.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Scott M CoyleDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Eliott M FlaumGraduate Program in Biophysics, Stanford University, Stanford, CA 94305, USA.
Hongquan LiGraduate Program in Electrical Engineering, Stanford University, Stanford, CA 94305, USA.
Deepak KrishnamurthyGraduate Program in Mechanical Engineering, Stanford University, Stanford, CA 94305, USA.
Manu PrakashDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA; Howard Hughes Medical Institute Faculty Scholar, Stanford University, Stanford, CA 94305, USA; Chan Zuckerberg BioHub Investigator, Stanford University, Stanford, CA 94305, USA. Electronic address: manup@stanford.edu.
Stanford University · USHoward Hughes Medical Institute · US

Funding

Molecular Biophysics Training Program at StanfordT32GM008294 · NIGMS · STANFORD UNIVERSITY · PI HUANG, KERWYN C. · 1989 to 2019
$7.4M
NIGMS NIH HHS T32 GM008294
6 · The paper itself

Abstract

Many single-celled protists use rapid morphology changes to perform fast animal-like behaviors. To understand how such behaviors are encoded, we analyzed the hunting dynamics of the predatory ciliate Lacrymaria olor, which locates and captures prey using the tip of a slender "neck" that can rapidly extend more than seven times its body length (500 μm from its body) and retract in seconds. By tracking single cells in real-time over hours and analyzing millions of sub-cellular postures, we find that these fast extension-contraction cycles underlie an emergent hunting behavior that comprehensively samples a broad area within the cell's reach. Although this behavior appears complex, we show that it arises naturally as alternating sub-cellular ciliary and contractile activities rearrange the cell's underlying helical cytoskeleton to extend or retract the neck. At short timescales, a retracting neck behaves like an elastic filament under load, such that compression activates a series of buckling modes that reorient the head and scramble its extensile trajectory. At longer timescales, the fundamental length of this filament can change, altering the location in space where these transitions occur. Coupling these fast and slow dynamics together, we present a simple model for how Lacrymaria samples the range of geometries and orientations needed to ensure dense stochastic sampling of the immediate environment when hunting to locate and strike at prey. More generally, coupling active mechanical and chemical signaling systems across different timescales may provide a general strategy by which mechanically encoded emergent cell behaviors can be understood or engineered.

Indexed as

AnimalsCiliophoraEcosystemMicrotubulesMuscle ContractionPredatory Behaviorcoupled active systemsemergent cellular dynamicssingle cell behavior

Identifiers

PMID31679941
PMCPMC7511173
OpenAlexW2985785798

What OpenQuestion holds

Textmetadata
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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.