Evidence map›Paper›PMID 36527054›Full record

ArticleBMC biology2022

Vector-virus interaction affects viral loads and co-occurrence.

Nurit Eliash, Miyuki Suenaga, Alexander S Mikheyev

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Comprehensive virome analysis ofFrontiers in insect science · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Shift in virus composition in honeybees (Royal Society open science · 2024
    Article
  8. Article
  9. Evolutionarily diverse origins of deformed wing viruses in western honey bees.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  10. 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

3 authors at 2 institutions in 3 countries.

Nurit EliashShamir Research Institute, University of Haifa, Katzrin, Israel. norikachan@gmail.com.ORCID 0000-0001-8586-1157
Miyuki SuenagaOkinawa Institute of Science and Technology, 1919-1 Tancha Onna-son, Okinawa, 904-0495, Japan.
Alexander S MikheyevOkinawa Institute of Science and Technology, 1919-1 Tancha Onna-son, Okinawa, 904-0495, Japan. alexander.mikheyev@anu.edu.au.
Okinawa Institute of Science and Technology Graduate University · JPAustralian National University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVector-borne viral diseases threaten human and wildlife worldwide. Vectors are often viewed as a passive syringe injecting the virus. However, to survive, replicate and spread, viruses must manipulate vector biology. While most vector-borne viral research focuses on vectors transmitting a single virus, in reality, vectors often carry diverse viruses. Yet how viruses affect the vectors remains poorly understood. Here, we focused on the varroa mite (Varroa destructor), an emergent parasite that can carry over 20 honey bee viruses, and has been responsible for colony collapses worldwide, as well as changes in global viral populations. Co-evolution of the varroa and the viral community makes it possible to investigate whether viruses affect vector gene expression and whether these interactions affect viral epidemiology.

resultsUsing a large set of available varroa transcriptomes, we identified how abundances of individual viruses affect the vector's transcriptional network. We found no evidence of competition between viruses, but rather that some virus abundances are positively correlated. Furthermore, viruses that are found together interact with the vector's gene co-expression modules in similar ways, suggesting that interactions with the vector affect viral epidemiology. We experimentally validated this observation by silencing candidate genes using RNAi and found that the reduction in varroa gene expression was accompanied by a change in viral load.

conclusionsCombined, the meta-transcriptomic analysis and experimental results shed light on the mechanism by which viruses interact with each other and with their vector to shape the disease course.

Indexed as

RNA VirusesVarroidaeVirusesAnimalsBeesHumansRNA InterferenceTranscriptomeViral LoadGene network analysisRNAi silencingVarroaVector-virus interaction

Identifiers

PMID36527054
PMCPMC9758805
OpenAlexW4312065134

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.