Evidence map›Paper›PMID 34249401›Full record

ArticleFrontiers of environmental science & engineering2022

Distribution of antibiotic resistance genes and their association with bacteria and viruses in decentralized sewage treatment facilities.

Jiaheng Zhao, Bing Li, Pin Lv, Jiahui Hou, Yong Qiu, Xia Huang

Open access · bronzeAbstract read
In one paragraph

Article in Frontiers of environmental science & engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

5 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. 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

6 authors at 3 institutions in 1 country.

Jiaheng ZhaoSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083 China.
Bing LiSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083 China.
Pin LvSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083 China.
Jiahui HouSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083 China.
Yong QiuState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084 China.
Xia HuangState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084 China.
University of Science and Technology Beijing · CNState Key Joint Laboratory of Environment Simulation and Pollution Control · CNTsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The distribution of antibiotic resistance genes (ARGs) has been intensively studied in large-scale wastewater treatment plants and livestock sources. However, small-scale decentralized sewage treatment facilities must also be explored due to their possible direct exposure to residents. In this study, six wastewater treatment facilities in developed rural areas in eastern China were investigated to understand their risks of spreading ARGs. Using metagenomics and network analysis tools, ARGs and bacterial and viral communities were identified in the influent (INF) and effluent (EFF) samples. The dominant ARGs belonged to the bacitracin class, which are different from most of municipal wastewater treatment plants (WWTPs). The dominant hosts of ARGs are ELECTRONIC SUPPLEMENTARY MATERIAL: Supplementary material is available in the online version of this article at 10.1007/s11783-021-1469-4 and is accessible for authorized users.

Indexed as

Antibiotic resistance genesDecentralized sewage treatment facilitiesMetagenomicsNetwork analysisVirus

Identifiers

PMID34249401
PMCPMC8255336
OpenAlexW3179470017

What OpenQuestion holds

Textmetadata
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.