Evidence map›Paper›PMID 35100308›Full record

ArticlePloS one2022

Phenomic analysis of the honey bee pathogen-web and its dynamics on colony productivity, health and social immunity behaviors.

Renata S Borba, Shelley E Hoover, Robert W Currie, Pierre Giovenazzo, M Marta Guarna, Leonard J Foster, Amro Zayed, Stephen F Pernal

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.8field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Body Size and Body Weight inLife (Basel, Switzerland) · 2026
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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

8 authors at 6 institutions in 1 country.

Renata S BorbaAgriculture & Agri-Food Canada, Beaverlodge Research Farm, Beaverlodge, Alberta, Canada.ORCID 0000-0002-7480-1367
Shelley E HooverDepartment of Biological Sciences, University of Lethbridge, Lethbridge, Alberta, Canada.ORCID 0000-0001-9462-7039
Robert W CurrieDepartment of Entomology, University of Manitoba, Winnipeg, Manitoba, Canada.
Pierre GiovenazzoDépartement de Biologie, faculté des sciences et génie, Université Laval, Québec City, Québec, Canada.
M Marta GuarnaAgriculture & Agri-Food Canada, Beaverlodge Research Farm, Beaverlodge, Alberta, Canada.ORCID 0000-0002-4638-9475
Leonard J FosterDepartment of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0001-8551-4817
Amro ZayedDepartment of Biology, York University, Toronto, Ontario, Canada.
Stephen F PernalAgriculture & Agri-Food Canada, Beaverlodge Research Farm, Beaverlodge, Alberta, Canada.
Agriculture and Agri-Food Canada · CAUniversité Laval · CAUniversity of British Columbia · CAUniversity of Lethbridge · CAUniversity of Manitoba · CAYork University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many pathogens and parasites have evolved to overwhelm and suppress their host's immune system. Nevertheless, the interactive effects of these agents on colony productivity and wintering success have been relatively unexplored, particularly in large-scale phenomic studies. As a defense mechanism, honey bees have evolved remarkable social behaviors to defend against pathogen and parasite challenges, which reduce the impact of disease and improve colony health. To investigate the complex role of pathogens, parasites and social immunity behaviors in relation to colony productivity and outcomes, we extensively studied colonies at several locations across Canada for two years. In 2016 and 2017, colonies founded with 1-year-old queens of diverse genetic origin were evaluated, which represented a generalized subset of the Canadian bee population. During each experimental year (May through April), we collected phenotypic data and sampled colonies for pathogen analysis in a standardized manner. Measures included: colony size and productivity (colony weight, cluster size, honey production, and sealed brood population), social immunity traits (hygienic behavior, instantaneous mite population growth rate, and grooming behavior), as well as quantification of gut parasites (Nosema spp., and Lotmaria passim), viruses (DWV-A, DWV-B, BQCV and SBV) and external parasites (Varroa destructor). Our goal was to examine: 1) correlations between pathogens and colony phenotypes; 2) the dynamics of pathogens and parasites on colony phenotypes and productivity traits; and 3) the effects of social immunity behaviors on colony pathogen load. Our results show that colonies expressing high levels of some social immunity behaviors were associated with low levels of pathogens/parasites, including viruses, Nosema spp., and V. destructor. In addition, we determined that elevated viral and Nosema spp. levels were associated with low levels of colony productivity, and that five out of six pathogenic factors measured were negatively associated with colony size and weight in both fall and spring periods. Finally, this study also provides information about the incidence and abundance of pathogens, colony phenotypes, and further disentangles their inter-correlation, so as to better understand drivers of honey bee colony health and productivity.

Indexed as

HealthHost-Pathogen InteractionsPhenomicsAnimalsBeesBehavior, AnimalCanadaGeographyHoneyLinear ModelsParasitesPhenotypeSample SizeSeasonsSocial BehaviorVarroidae

Identifiers

PMID35100308
PMCPMC8803170
OpenAlexW4210258960

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.