Evidence map›Paper›PMID 36947033›Full record

ReviewJournal of insect science (Online)2023

Beneficial bacteria as biocontrol agents for American foulbrood disease in honey bees (Apis mellifera).

Manhong Ye, Xiaoyuan Li, Fengping Yang, Bin Zhou

Open access · goldAbstract readReview
In one paragraph

Review in Journal of insect science (Online), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Probiotic Potential ofVeterinary sciences · 2025
    Article
  7. Article
  8. Article
  9. Probing the interaction ofSaudi journal of biological sciences · 2024
    Article
  10. Review
  11. Article
  12. 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

4 authors at 1 institution in 1 country.

Manhong YeCollege of Bioscience and Biotechnology, Yangzhou University, Yangzhou 225009, Jiangsu Province, China.
Xiaoyuan LiCollege of Bioscience and Biotechnology, Yangzhou University, Yangzhou 225009, Jiangsu Province, China.
Fengping YangCollege of Bioscience and Biotechnology, Yangzhou University, Yangzhou 225009, Jiangsu Province, China.
Bin ZhouCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, Jiangsu Province, China.ORCID 0000-0002-1969-4810
Yangzhou University · CN

Funding

Yangzhou University KJRH202119
6 · The paper itself

Abstract

American foulbrood (AFB) is a cosmopolitan bacterial disease that affects honey bee (Apis mellifera) larvae and causes great economic losses in apiculture. Currently, no satisfactory methods are available for AFB treatment mainly due to the difficulties to eradicate the tenacious spores produced by the etiological agent of AFB, Paenibacillus larvae (Bacillales, Paenibacillaceae). This present review focused on the beneficial bacteria that displayed antagonistic activities against P. larvae and demonstrated potential in AFB control. Emphases were placed on commensal bacteria (genus Bacillus and lactic acid bacteria in particular) in the alimentary tract of honey bees. The probiotic roles lactic acid bacteria play in combating the pathogenic P. larvae and the limitations referring to the application of these beneficial bacteria were addressed.

Indexed as

Paenibacillus larvaeAnimalsBeekeepingBeesGastrointestinal TractLarvaUnited StatesAmerican foulbrood diseasebeneficial bacteriabiocontrolhoney beePaenibacillus larvae

Identifiers

PMID36947033
PMCPMC10032306
OpenAlexW4353017558

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.