Evidence map›Paper›PMID 38671077›Full record

ArticleScientific reports2024

Eggs sampling as an effective tool for identifying the incidence of viruses in honey bees involved in artificial queen rearing.

Caio E C Domingues, Laura Šimenc, Ivan Toplak, Dirk C de Graaf, Lina De Smet, Wim Verbeke, Luc Peelman, Leticia S Ansaloni, Aleš Gregorc

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

9 authors at 3 institutions in 2 countries.

Caio E C DominguesFaculty of Agriculture and Life Sciences, University of Maribor, Pivola 10, 2311, Hoče, Slovenia. cecdomingues@gmail.com.
Laura ŠimencInstitute of Microbiology and Parasitology, Veterinary Faculty, University of Ljubljana, Gerbičeva 60, 1000, Ljubljana, Slovenia.
Ivan ToplakInstitute of Microbiology and Parasitology, Veterinary Faculty, University of Ljubljana, Gerbičeva 60, 1000, Ljubljana, Slovenia.
Dirk C de GraafLaboratory of Molecular Entomology and Bee Pathology, Ghent University, Krijgslaan 281 S2, 9000, Ghent, Belgium.
Lina De SmetLaboratory of Molecular Entomology and Bee Pathology, Ghent University, Krijgslaan 281 S2, 9000, Ghent, Belgium.
Wim VerbekeDepartment of Agricultural Economics, Ghent University, Coupure Links 653, 9000, Ghent, Belgium.
Luc PeelmanLaboratory of Animal Genetics, Department of Veterinary and Biosciences, Ghent University, Heidestraat 19, 9820, Merelbeke, Belgium.
Leticia S AnsaloniFaculty of Agriculture and Life Sciences, University of Maribor, Pivola 10, 2311, Hoče, Slovenia.
Aleš GregorcFaculty of Agriculture and Life Sciences, University of Maribor, Pivola 10, 2311, Hoče, Slovenia.
Ghent University · BEUniversity of Maribor · SIUniversity of Ljubljana · SI

Funding

Fonds voor Wetenschappelijk Onderzoek G003021NPublic Agency for Research Activity of the Republic of Slovenia no. S-ZRD/22-27/552Slovenian Research and Innovation Agency (ARIS) Research core funding No. P4-164, CRISPR-B number N4-0192
6 · The paper itself

Abstract

The Carniolan honey bee (Apis mellifera carnica) plays an essential role in crop pollination, environment diversity, and the production of honey bee products. However, the health of individual honey bees and their colonies is under pressure due to multiple stressors, including viruses as a significant threat to bees. Monitoring various virus infections could be a crucial selection tool during queen rearing. In the present study, samples from all developmental stages (eggs, larvae, pupae, and queens) were screened for the incidence of seven viruses during queen rearing in Slovenia. The screening of a total of 108 samples from five queen breeders was performed by the RT-qPCR assays. The results showed that the highest incidence was observed for black queen cell virus (BQCV), Lake Sinai virus 3 (LSV3), deformed wing virus B (DWV-B), and sacbrood virus (SBV). The highest viral load was detected in queens (6.07 log

Indexed as

LarvaAnimalsBeesDicistroviridaeFemaleInsect VirusesOvumPupaRNA VirusesSloveniaViral Load

Identifiers

PMID38671077
PMCPMC11053070
OpenAlexW4395675627

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.