Evidence map›Paper›PMID 27615605›Full record

ArticleScientific reports2016

Optimal search patterns in honeybee orientation flights are robust against emerging infectious diseases.

Stephan Wolf, Elizabeth Nicholls, Andrew M Reynolds, Patricia Wells, Ka S Lim, Robert J Paxton, Juliet L Osborne

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Age and Season Effect the Timing of Adult Worker Honeybee Infection byFrontiers in cellular and infection microbiology · 2021
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. A Swarm of Bee Research.PLoS biology · 2017
    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

7 authors.

Stephan WolfRothamsted Research, Harpenden, UK.
Elizabeth NichollsRothamsted Research, Harpenden, UK.
Andrew M ReynoldsRothamsted Research, Harpenden, UK.
Patricia WellsRothamsted Research, Harpenden, UK.
Ka S LimRothamsted Research, Harpenden, UK.
Robert J PaxtonSchool of Biological Sciences, Queen's University Belfast, Belfast, UK.
Juliet L OsborneRothamsted Research, Harpenden, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/I00097/1Wellcome Trust
6 · The paper itself

Abstract

Lévy flights are scale-free (fractal) search patterns found in a wide range of animals. They can be an advantageous strategy promoting high encounter rates with rare cues that may indicate prey items, mating partners or navigational landmarks. The robustness of this behavioural strategy to ubiquitous threats to animal performance, such as pathogens, remains poorly understood. Using honeybees radar-tracked during their orientation flights in a novel landscape, we assess for the first time how two emerging infectious diseases (Nosema sp. and the Varroa-associated Deformed wing virus (DWV)) affect bees' behavioural performance and search strategy. Nosema infection, unlike DWV, affected the spatial scale of orientation flights, causing significantly shorter and more compact flights. However, in stark contrast to disease-dependent temporal fractals, we find the same prevalence of optimal Lévy flight characteristics (μ ≈ 2) in both healthy and infected bees. We discuss the ecological and evolutionary implications of these surprising insights, arguing that Lévy search patterns are an emergent property of fundamental characteristics of neuronal and sensory components of the decision-making process, making them robust against diverse physiological effects of pathogen infection and possibly other stressors.

Indexed as

AnimalsBeesFlight, AnimalInfectionsNosemaOrientationOrientation, SpatialVarroidae

Identifiers

PMID27615605
PMCPMC5018844

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.