Evidence map›Paper›PMID 25938416›Full record

ArticlePloS one2015

Bacterial pathogens and community composition in advanced sewage treatment systems revealed by metagenomics analysis based on high-throughput sequencing.

Xin Lu, Xu-Xiang Zhang, Zhu Wang, Kailong Huang, Yuan Wang, Weigang Liang, Yunfei Tan, Bo Liu, Junying Tang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
8.7field-weighted citation impact, top 2% 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

31 citing papers in PubMed, 91 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Occurrence, Sources and Virulence Potential ofEnvironmental science & technology · 2024
    Article
  5. Review
  6. Article
  7. Article
  8. The Prevalence ofPathogens (Basel, Switzerland) · 2022
    Review
  9. Review
  10. NaturalizedFrontiers in microbiology · 2022
    Review
  11. Article
  12. Article
  13. Article
  14. Bacteria from the GenusApplied and environmental microbiology · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Reduction ofPathogens (Basel, Switzerland) · 2019
    Article
  19. Article
  20. 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

9 authors at 3 institutions in 1 country.

Xin LuState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China.
Xu-Xiang ZhangState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China.
Zhu WangState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China.
Kailong HuangState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China.
Yuan WangEnvironmental Science Research Institute of Jiangsu, Nanjing, China.
Weigang LiangZhengzhou Sewage Purification Company, Zhengzhou, China.
Yunfei TanZhengzhou Sewage Purification Company, Zhengzhou, China.
Bo LiuState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China; Research Institute of Nanjing University at Lianyungang, Lianyungang, China.
Junying TangState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China.
Nanjing University · CNState Key Laboratory of Pollution Control and Resource Reuse · CNHeilongjiang Provincial Environmental Science Research Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study used 454 pyrosequencing, Illumina high-throughput sequencing and metagenomic analysis to investigate bacterial pathogens and their potential virulence in a sewage treatment plant (STP) applying both conventional and advanced treatment processes. Pyrosequencing and Illumina sequencing consistently demonstrated that Arcobacter genus occupied over 43.42% of total abundance of potential pathogens in the STP. At species level, potential pathogens Arcobacter butzleri, Aeromonas hydrophila and Klebsiella pneumonia dominated in raw sewage, which was also confirmed by quantitative real time PCR. Illumina sequencing also revealed prevalence of various types of pathogenicity islands and virulence proteins in the STP. Most of the potential pathogens and virulence factors were eliminated in the STP, and the removal efficiency mainly depended on oxidation ditch. Compared with sand filtration, magnetic resin seemed to have higher removals in most of the potential pathogens and virulence factors. However, presence of the residual A. butzleri in the final effluent still deserves more concerns. The findings indicate that sewage acts as an important source of environmental pathogens, but STPs can effectively control their spread in the environment. Joint use of the high-throughput sequencing technologies is considered a reliable method for deep and comprehensive overview of environmental bacterial virulence.

Indexed as

High-Throughput Nucleotide SequencingMetagenomicsBacteriaBiodiversityMolecular Sequence DataRNA, Ribosomal, 16SSewageVirulence FactorsRNA, Ribosomal, 16SSewageVirulence Factors

Identifiers

PMID25938416
PMCPMC4418606
OpenAlexW1589966777

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.