Evidence map›Paper›PMID 33302397›Full record

ArticleInsects2020

Network Centrality as an Indicator for Pollinator Parasite Transmission via Flowers.

Niels Piot, Guy Smagghe, Ivan Meeus

Open access · goldAbstract read
In one paragraph

Article in Insects, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Virus distributions in wild bees are associated with floral communities at local to landscape scales.Ecological applications : a publication of the Ecological Society of America · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The impact of mass-flowering crops on bee pathogen dynamics.International journal for parasitology. Parasites and wildlife · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. 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

3 authors at 1 institution in 1 country.

Niels PiotLaboratory of Agrozoology, Department of Plants and Crops, Faculty of Bioscience Engineering, Ghent University Coupure Links 653, 9000 Ghent, Belgium.ORCID 0000-0003-2808-6793
Guy SmaggheLaboratory of Agrozoology, Department of Plants and Crops, Faculty of Bioscience Engineering, Ghent University Coupure Links 653, 9000 Ghent, Belgium.ORCID 0000-0001-8334-3313
Ivan MeeusLaboratory of Agrozoology, Department of Plants and Crops, Faculty of Bioscience Engineering, Ghent University Coupure Links 653, 9000 Ghent, Belgium.
Ghent University · BE

Funding

Research Foundation-Flanders (FWO) .Research Foundation-Flanders (FWO) - EOS-program 396 30947854
6 · The paper itself

Abstract

Parasites are important actors within ecosystems. However, a key aspect to unraveling parasite epidemiology is understanding transmission. The bee pollinator community harbors several multihost parasites, which have been shown to be able to spread between species via flowers. Hence the plant-pollinator network can provide valuable information on the transmission of these parasites between species. Although several controlled experiments have shown that flowers function as a transmission hub for parasites, the link with the plant-pollinator network has rarely been addressed in the field. Here, one can hypothesize that the most central flowers in the network are more likely to enable parasite transmission between species. In this study, we test this hypothesis in three local plant-pollinator networks and show that the centrality of a plant in a weighted plant-pollinator network is a good predictor of the presence of multihost pollinator parasites on the plant's flowers.

Indexed as

bee healthparasite transmissionplant–pollinator networkpollinator parasites

Identifiers

PMID33302397
PMCPMC7762566
OpenAlexW3112823738

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.