Evidence map›Paper›PMID 27807168›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2016

A Defensive Kicking Behavior in Response to Mechanical Stimuli Mediated by Drosophila Wing Margin Bristles.

Jiefu Li, Wei Zhang, Zhenhao Guo, Sophia Wu, Lily Yeh Jan, Yuh-Nung Jan

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Sensory Feedback and the Dynamic Control of Movement.Annual review of neuroscience · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Endosymbiotic Male-KillingApplied and environmental microbiology · 2022
    Article
  14. Review
  15. Article
  16. Article
  17. Mechanosensory Stimulation viaThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  18. Review
  19. Review
  20. 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.

Jiefu LiDepartments of Physiology, Biochemistry, and Biophysics, Howard Hughes Medical Institute, University of California, San Francisco, California 94158.
Wei ZhangDepartments of Physiology, Biochemistry, and Biophysics, Howard Hughes Medical Institute, University of California, San Francisco, California 94158.
Zhenhao GuoDepartments of Physiology, Biochemistry, and Biophysics, Howard Hughes Medical Institute, University of California, San Francisco, California 94158.
Sophia WuDepartments of Physiology, Biochemistry, and Biophysics, Howard Hughes Medical Institute, University of California, San Francisco, California 94158.
Lily Yeh JanDepartments of Physiology, Biochemistry, and Biophysics, Howard Hughes Medical Institute, University of California, San Francisco, California 94158.ORCID 0000-0003-3938-8498
Yuh-Nung JanDepartments of Physiology, Biochemistry, and Biophysics, Howard Hughes Medical Institute, University of California, San Francisco, California 94158 yuhnung.jan@ucsf.edu.ORCID 0000-0003-1367-6299

Funding

Genetic Dissection of Dendrite DevelopmentR37NS040929 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JAN, YUH NUNG · 2010 to 2016
$2.5M
NINDS NIH HHS R37 NS040929
6 · The paper itself

Abstract

Mechanosensation, one of the fastest sensory modalities, mediates diverse behaviors including those pertinent for survival. It is important to understand how mechanical stimuli trigger defensive behaviors. Here, we report that Drosophila melanogaster adult flies exhibit a kicking response against invading parasitic mites over their wing margin with ultrafast speed and high spatial precision. Mechanical stimuli that mimic the mites' movement evoke a similar kicking behavior. Further, we identified a TRPV channel, Nanchung, and a specific Nanchung-expressing neuron under each recurved bristle that forms an array along the wing margin as being essential sensory components for this behavior. Our electrophysiological recordings demonstrated that the mechanosensitivity of recurved bristles requires Nanchung and Nanchung-expressing neurons. Together, our results reveal a novel neural mechanism for innate defensive behavior through mechanosensation. SIGNIFICANCE STATEMENT: We discovered a previously unknown function for recurved bristles on the Drosophila melanogaster wing. We found that when a mite (a parasitic pest for Drosophila) touches the wing margin, the fly initiates a swift and accurate kick to remove the mite. The fly head is dispensable for this behavior. Furthermore, we found that a TRPV channel, Nanchung, and a specific Nanchung-expressing neuron under each recurved bristle are essential for its mechanosensitivity and the kicking behavior. In addition, touching different regions of the wing margin elicits kicking directed precisely at the stimulated region. Our experiments suggest that recurved bristles allow the fly to sense the presence of objects by touch to initiate a defensive behavior (perhaps analogous to touch-evoked scratching; Akiyama et al., 2012).

Indexed as

AnimalsAvoidance LearningDefense MechanismsDrosophilaDrosophila ProteinsExtremitiesMechanoreceptorsMechanotransduction, CellularPhysical StimulationReflexSense OrgansSensory Receptor CellsTouchTransient Receptor Potential ChannelsWings, AnimalDrosophila ProteinsNan protein, DrosophilaTransient Receptor Potential Channelsdefensive behaviorDrosophilatouchtrp channel

Identifiers

PMID27807168
PMCPMC5148243

What OpenQuestion 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 OpenQuestion graph.