Evidence map›Paper›PMID 35501925›Full record

ArticleMicrobiome2022

Geographical resistome profiling in the honeybee microbiome reveals resistance gene transfer conferred by mobilizable plasmids.

Huihui Sun, Xiaohuan Mu, Kexun Zhang, Haoyu Lang, Qinzhi Su, Xingan Li, Xin Zhou, Xue Zhang, Hao Zheng

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

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  10. Liposome-based RNAi delivery in honeybee for inhibiting parasiteSynthetic and systems biotechnology · 2024
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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

9 authors at 2 institutions in 1 country.

Huihui SunCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China.
Xiaohuan MuCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China.
Kexun ZhangCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China.
Haoyu LangCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China.
Qinzhi SuCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China.
Xingan LiKey Laboratory for Bee Genetics and Breeding, Jilin Provincial Institute of Apicultural Sciences, Jilin, 132000, China.
Xin ZhouDepartment of Entomology, College of Plant Protection, China Agricultural University, Beijing, 100083, China.
Xue ZhangDepartment of Entomology, College of Plant Protection, China Agricultural University, Beijing, 100083, China. zhangxue0215@gmail.com.
Hao ZhengCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China. hao.zheng@cau.edu.cn.
China Agricultural University · CNApiculture Science Institute of Jinlin province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe spread of antibiotic resistance genes (ARGs) has been of global concern as one of the greatest environmental threats. The gut microbiome of animals has been found to be a large reservoir of ARGs, which is also an indicator of the environmental antibiotic spectrum. The conserved microbiota makes the honeybee a tractable and confined ecosystem for studying the maintenance and transfer of ARGs across gut bacteria. Although it has been found that honeybee gut bacteria harbor diverse sets of ARGs, the influences of environmental variables and the mechanism driving their distribution remain unclear.

resultsWe characterized the gut resistome of two closely related honeybee species, Apis cerana and Apis mellifera, domesticated in 14 geographic locations across China. The composition of the ARGs was more associated with host species rather than with geographical distribution, and A. mellifera had a higher content of ARGs in the gut. There was a moderate geographic pattern of resistome distribution, and several core ARG groups were found to be prevalent among A. cerana samples. These shared genes were mainly carried by the honeybee-specific gut members Gilliamella and Snodgrassella. Transferrable ARGs were frequently detected in honeybee guts, and the load was much higher in A. mellifera samples. Genomic loci of the bee gut symbionts containing a streptomycin resistance gene cluster were nearly identical to those of the broad-host-range IncQ plasmid, a proficient DNA delivery system in the environment. By in vitro conjugation experiments, we confirmed that the mobilizable plasmids could be transferred between honeybee gut symbionts by conjugation. Moreover, "satellite plasmids" with fragmented genes were identified in the integrated regions of different symbionts from multiple areas.

conclusionsOur study illustrates that the gut microbiota of different honeybee hosts varied in their antibiotic resistance structure, highlighting the role of the bee microbiome as a potential bioindicator and disseminator of antibiotic resistance. The difference in domestication history is highly influential in the structuring of the bee gut resistome. Notably, the evolution of plasmid-mediated antibiotic resistance is likely to promote the probability of its persistence and dissemination. Video Abstract.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaAnimalsAnti-Bacterial AgentsBacteriaBeesDrug Resistance, BacterialPlasmidsAnti-Bacterial AgentsA. melliferaAntibiotic resistance genesApis ceranaGut resistomeHorizontal transferIncQ

Identifiers

PMID35501925
PMCPMC9063374
OpenAlexW4225373574

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LicenceCC BY
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Registered trials

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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.