Evidence map›Paper›PMID 41435858›Full record

SynthesisJournal of insect science (Online)2025

Meta-analysis of sources and transmission pathways of Apis mellifera (Hymenoptera: Apidae) microbiota based on 16S sequencing data.

Artur Asadullin, Grigory Kashchenko, Alexander Klochev, Amir Taldaev, Leonid Adonin, Daniil Smutin

Abstract readMeta-Analysis
In one paragraph

Synthesis in Journal of insect science (Online), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Artur AsadullinFederal State Budget-Financed Educational Institution of Higher Education, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, St. Petersburg, Russia.ORCID 0009-0002-2498-8562
Grigory KashchenkoRussian State Agrarian University-Moscow Timiryazev Agricultural Academy, Moscow, Russia.ORCID 0009-0003-5906-0198
Alexander KlochevDepartment of Genetics and Biotechnology, St. Petersburg State University, St. Petersburg, Russia.ORCID 0009-0009-9031-6925
Amir TaldaevInstitute of Biomedical Chemistry, Moscow, Russia.ORCID 0000-0003-2593-1963
Leonid AdoninFederal State Budget-Financed Educational Institution of Higher Education, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, St. Petersburg, Russia.ORCID 0000-0003-1563-4615
Daniil SmutinFederal State Budget-Financed Educational Institution of Higher Education, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, St. Petersburg, Russia.ORCID 0009-0009-1460-4108

Funding

Russian Science Foundation 25-26-00381
6 · The paper itself

Abstract

This study investigates the mechanisms governing the formation and transfer of microbial communities associated with the honey bee (Apis mellifera L.) superorganism, focusing on the interplay between plant, in-hive, and bee environments. By analyzing 16S rRNA sequencing data from multiple public datasets through bioinformatics and statistical modeling, we characterized the structure and transmission pathways of these microbiota. Our analysis reveals that each environment hosts a distinct and specialized microbial community, with significant barriers to free microbial exchange. Alpha and beta-diversity analyses confirmed the uniqueness of the bee gut microbiota and the mixed, intermediate nature of the honey microbiome. Structural equation modeling identified that direct microbial transfer from plants to bees is negligible. Instead, honey serves as an obligate intermediary and selective filter, with microorganisms transitioning from plants to honey before a lower-probability transfer to bees occurs. Furthermore, we identified key bacterial taxa, including Apilactobacillus kunkeei, Acinetobacter, and Pseudomonas, that potentially act as generalists capable of persisting across multiple environments. These findings underscore the possibility of the selective bacterial transfer between hives, which may play roles in both pathogens transfer and maintaining hive microbiome stability.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaAnimalsBacteriaBeesHoneyRNA, Ribosomal, 16SRNA, Ribosomal, 16Sbacterial transferhive microbiomemeta-analysisstructural equation modeling (SEM)

Identifiers

PMID41435858
PMCPMC12726919

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.