Evidence map›Paper›PMID 35078531›Full record

ArticleMicrobiome2022

High-resolution genomic surveillance elucidates a multilayered hierarchical transfer of resistance between WWTP- and human/animal-associated bacteria.

You Che, Xiaoqing Xu, Yu Yang, Karel Břinda, William Hanage, Chao Yang, Tong Zhang

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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 48 citations in OpenAlex.

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  11. High-throughput single-cell sequencing of activated sludge microbiome.Environmental science and ecotechnology · 2025
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  16. The diversity in antimicrobial resistance of MDRFrontiers in microbiology · 2022
    Article
  17. ISInfection and drug resistance · 2022
    Article
  18. Article
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

7 authors at 3 institutions in 3 countries.

You CheEnvironmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pok Fu Lam, Hong Kong, China.
Xiaoqing XuEnvironmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pok Fu Lam, Hong Kong, China.
Yu YangEnvironmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pok Fu Lam, Hong Kong, China.
Karel BřindaCenter for Communicable Disease Dynamics, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, USA.
William HanageCenter for Communicable Disease Dynamics, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, USA.
Chao YangKey Laboratory of Molecular Microbiology and Technology for Ministry of Education, Nankai University, 300071, Tianjin, China. yangc20119@nankai.edu.cn.
Tong ZhangEnvironmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pok Fu Lam, Hong Kong, China. zhangt@hku.hk.ORCID 0000-0003-1148-4322
Center for Disease Dynamics, Economics & Policy · USUniversity of Hong Kong · HKNankai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur interconnected world and the ability of bacteria to quickly swap antibiotic resistance genes (ARGs) make it particularly important to establish the epidemiological links of multidrug resistance (MDR) transfer between wastewater treatment plant (WWTP)- and human/animal-associated bacteria, under the One Health framework. However, evidence of ARGs exchange and potential factors that contribute to this transfer remain limited.

resultsHere, by combining culture-based population genomics and genetic comparisons with publicly available datasets, we reconstructed the complete genomes of 82 multidrug-resistant isolates from WWTPs and found that most WWTP-associated isolates were genetically distinct from their closest human/animal-associated relatives currently available in the public database. Even in the minority of lineages that were closely related, WWTP-associated isolates were characterized by quite different plasmid compositions. We identified a high diversity of circular plasmids (264 in total, of which 141 were potentially novel), which served as the main source of resistance, and showed potential horizontal transfer of ARG-bearing plasmids between WWTP- and humans/animal-associated bacteria. Notably, the potentially transferred ARGs and virulence factors (VFs) with different genetic backgrounds were closely associated with flanking insertion sequences (ISs), suggesting the importance of synergy between plasmids and ISs in mediating a multilayered hierarchical transfer of MDR and potentiating the emergence of MDR-hypervirulent clones.

conclusionOur findings advance the current efforts to establish potential epidemiological links of MDR transmission between WWTP- and human/animal-associated bacteria. Plasmids play an important role in mediating the transfer of ARGs and the IS-associated ARGs that are carried by conjugative plasmids should be prioritized to tackle the spread of resistance. Video Abstract.

Indexed as

GenomicsWater PurificationAnimalsAnti-Bacterial AgentsBacteriaHumansPlasmidsAnti-Bacterial AgentsGenomic epidemiologyHorizontal gene transferInsertion sequencesMDRNanoporePlasmidome

Identifiers

PMID35078531
PMCPMC8790882
OpenAlexW4207074397

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.