Evidence map›Paper›PMID 37531005›Full record

ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2023

Exploring viral infections in honey bee colonies: insights from a metagenomic study in southern Brazil.

Leonardo Assis da Silva, Brenda Rabello de Camargo, Bruno Milhomem Pilati Rodrigues, Diouneia Lisiane Berlitz, Lidia Mariana Fiuza, Daniel Mendes Pereira Ardisson-Araújo, Bergmann Morais Ribeiro

Open access · greenAbstract read
In one paragraph

Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Circulation of bee-infecting viruses in Brazil: a call for action.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    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

7 authors at 2 institutions in 1 country.

Leonardo Assis da SilvaCell Biology Department, University of Brasília, Brasília, DF, 70910-900, Brazil.
Brenda Rabello de CamargoCell Biology Department, University of Brasília, Brasília, DF, 70910-900, Brazil.
Bruno Milhomem Pilati RodriguesCell Biology Department, University of Brasília, Brasília, DF, 70910-900, Brazil.
Diouneia Lisiane BerlitzControl Agro Bio Pesquisa E Defesa Agropecuária, Parque Tecnológico TECNOPUC/PUCRS, Porto Alegre, RS, Brazil.
Lidia Mariana FiuzaProspectaBio - Soluções biológicas Ltda. CABIO - Control Agro Bio - Consultoria Parque Tecnológico TECNOPUC/PUCRS, Porto Alegre, RS, Brazil.
Daniel Mendes Pereira Ardisson-AraújoCell Biology Department, University of Brasília, Brasília, DF, 70910-900, Brazil. araujo.daniel@unb.br.
Bergmann Morais RibeiroCell Biology Department, University of Brasília, Brasília, DF, 70910-900, Brazil. bergmann@unb.br.ORCID http://orcid.org/0000-0002-1061-196X
Universidade de Brasília · BRAgroBio · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 304223/2021-2Fundação de Apoio à Pesquisa do Distrito Federal 193.00001749/2022-31Fundação de Apoio à Pesquisa do Distrito Federal 193001532/2016
6 · The paper itself

Abstract

The decline in honey bee colonies in different parts of the world in recent years is due to different reasons, such as agricultural practices, climate changes, the use of chemical insecticides, and pests and diseases. Viral infections are one of the main causes leading to honey bee population declines, which have a major economic impact due to honey production and pollination. To investigate the presence of viruses in bees in southern Brazil, we used a metagenomic approach to sequence adults' samples of concentrated extracts from Apis mellifera collected in fifteen apiaries of six municipalities in the Rio Grande do Sul state, Brazil, between 2016 and 2017. High-throughput sequencing (HTS) of these samples resulted in the identification of eight previously known viruses (Apis rhabdovirus 1 (ARV-1), Acute bee paralysis virus (ABPV), Aphid lethal paralysis virus (ALPV), Black queen cell virus (BQCV), Bee Macula-like virus (BeeMLV), Deformed wing virus (DWV), Lake Sinai Virus NE (LSV), and Varroa destructor virus 3 (VDV-3)) and a thogotovirus isolate. This thogotovirus shares high amino acid identities in five of the six segments with Varroa orthomyxovirus 1, VOV-1 (98.36 to 99.34% identity). In contrast, segment 4, which codes for the main glycoprotein (GP), has no identity with VOV-1, as observed for the other segments, but shares an amino acid identity of 34-38% with other glycoproteins of viruses from the Orthomyxoviridae family. In addition, the putative thogotovirus GP also shows amino acid identities ranging from 33 to 41% with the major glycoprotein (GP64) of insect viruses of the Baculoviridae family. To our knowledge, this is the second report of a thogotovirus found in bees and given this information, this thogotovirus isolate was tentatively named Apis thogotovirus 1 (ATHOV-1). The detection of multiple viruses in bees is important to better understand the complex interactions between viruses and their hosts. By understanding these interactions, better strategies for managing viral infections in bees and protecting their populations can be developed.

Indexed as

BeesInsect VirusesBrazilHigh-Throughput Nucleotide SequencingMetagenomicsPhylogenyViral ProteinsViral ProteinsBee population declinesHigh-throughtput sequenceHoney bee virusesMetagenomic approachNew togotovirus isolate

Identifiers

PMID37531005
PMCPMC10485192
OpenAlexW4385477434

What OpenQuestion holds

Textmetadata
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.