Evidence map›Paper›PMID 30254665›Full record

ArticleFrontiers in genetics2018

Diverse Factors Affecting Efficiency of RNAi in Honey Bee Viruses.

Dahe Yang, Xiang Xu, Hongxia Zhao, Sa Yang, Xinling Wang, Di Zhao, Qingyun Diao, Chunsheng Hou

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2018. 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
1.8field-weighted citation impact, top 15% 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, 23 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Crude Extracts ofViruses · 2023
    Article
  6. Article
  7. Review
  8. Recent Advances in the Biocontrol of Nosemosis in Honey Bees (Journal of fungi (Basel, Switzerland) · 2022
    Review
  9. Review
  10. Improving bee health through genomics.Nature reviews. Genetics · 2020
    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

8 authors at 2 institutions in 1 country.

Dahe YangInstitute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, China.
Xiang XuInstitute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, China.
Hongxia ZhaoGuangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Guangdong Institute of Applied Biological Resources, Guangzhou, China.
Sa YangInstitute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, China.
Xinling WangInstitute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, China.
Di ZhaoInstitute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, China.
Qingyun DiaoInstitute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, China.
Chunsheng HouInstitute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, China.
Chinese Academy of Agricultural Sciences · CNInstitute of Apiculture Research · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infection and transmission of honey bee viruses pose a serious threat to the pollination services of crops and wild plants, which plays a vital role in agricultural economy and ecology. RNA interference (RNAi) is an effective defense mechanism against commonly occurring viral infections of animals and plants. However, recent studies indicate that the effects of RNAi on the honey bee can induce additional impacts and might not always be effective in suppressing the virus. Moreover, the RNAi responses differed in relation to the developmental stage of the insect and the target tissue used, even though the same method of delivery was used. These results indicate that further analysis and field experiments should be performed to characterize the varying effectiveness of RNAi-based methods for treating honey bee viral infections. In this review, we provide an overview of the current knowledge and the recent progress in RNAi-based anti-viral treatments for honey bees, focusing in particular highlight the role of the dsRNA-delivery method used and its effect on RNAi efficiency and demonstrate the potential practical value of this tool for controlling the virus. We conclude studying the gene function and disease control of honey bee by RNAi technology requires a complex consideration from physiology, genetics to environment.

Indexed as

Apis melliferagene functionhoney bee virusesRNAisensitivity of RNAi

Identifiers

PMID30254665
PMCPMC6141667
OpenAlexW2892096144

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.