Evidence map›Paper›PMID 26674191›Full record

ArticleJournal of the Royal Society, Interface2015

Unpicking the signal thread of the sector web spider Zygiella x-notata.

Beth Mortimer, Chris Holland, James F C Windmill, Fritz Vollrath

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Sensing fluctuating airflow with spider silk.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  8. Extended spider cognition.Animal cognition · 2017
    Review
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

4 authors.

Beth MortimerDepartment of Zoology, University of Oxford, Oxford OX1 3PS, UK beth.mortimer@zoo.ox.ac.uk.
Chris HollandDepartment of Materials Science and Engineering, University of Sheffield, Sheffield S1 3JD, UK.
James F C WindmillDepartment of Electronic and Electrical Engineering, University of Strathclyde, Glasgow G1 1XW, UK.
Fritz VollrathDepartment of Zoology, University of Oxford, Oxford OX1 3PS, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/H004637/1European Research Council 233409
6 · The paper itself

Abstract

Remote sensing allows an animal to extend its morphology with appropriate conductive materials and sensors providing environmental feedback from spatially removed locations. For example, the sector web spider Zygiella x-notata uses a specialized thread as both a structural bridge and signal transmitter to monitor web vibrations from its retreat at the web perimeter. To unravel this model multifunctional system, we investigated Zygiella's signal thread structure with a range of techniques, including tensile testing, laser vibrometry, electron microscopy and behavioural analysis. We found that signal threads varied significantly in the number of filaments; a result of the spider adding a lifeline each time it runs along the bridge. Our mechanical property analysis suggests that while the structure varies, its normalized load does not. We propose that the signal thread represents a complex and fully integrated multifunctional structure where filaments can be added, thus increasing absolute load-bearing capacity while maintaining signal fidelity. We conclude that such structures may serve as inspiration for remote sensing design strategies.

Indexed as

AnimalsBehavior, AnimalSpidersremote sensingsilkspidervibration

Identifiers

PMID26674191
PMCPMC4707845

What OpenQuestion holds

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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.