Evidence map›Paper›PMID 38898980›Full record

ArticleiMeta2024

A panoramic view of the virosphere in three wastewater treatment plants by integrating viral-like particle-concentrated and traditional non-concentrated metagenomic approaches.

Jiayu Zhang, Aixi Tang, Tao Jin, Deshou Sun, Fangliang Guo, Huaxin Lei, Lin Lin, Wensheng Shu, Pingfeng Yu, Xiaoyan Li and 1 more

Abstract read
In one paragraph

Article in iMeta, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  5. Article
  6. Article
  7. Article
  8. Review
  9. Wastewater Metavirome Diversity: Exploring Replicate Inconsistencies and Bioinformatic Tool Disparities.International journal of environmental research and public health · 2025
    Article
  10. Article
  11. Article
  12. Article
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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

11 authors.

Jiayu ZhangInstitute of Environment and Ecology, Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen China.
Aixi TangInstitute of Environment and Ecology, Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen China.
Tao JinGuangdong Magigene Biotechnology Co., Ltd. Shenzhen China.
Deshou SunInstitute of Environment and Ecology, Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen China.
Fangliang GuoInstitute of Environment and Ecology, Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen China.
Huaxin LeiInstitute of Environment and Ecology, Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen China.
Lin LinInstitute of Environment and Ecology, Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen China.
Wensheng ShuGuangdong Magigene Biotechnology Co., Ltd. Shenzhen China.
Pingfeng YuCollege of Environmental and Resource Sciences Zhejiang University Hangzhou China.
Xiaoyan LiInstitute of Environment and Ecology, Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen China.
Bing LiInstitute of Environment and Ecology, Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen China.ORCID 0000-0002-7161-0477

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater biotreatment systems harbor a rich diversity of microorganisms, and the effectiveness of biotreatment systems largely depends on the activity of these microorganisms. Specifically, viruses play a crucial role in altering microbial behavior and metabolic processes throughout their infection phases, an aspect that has recently attracted considerable interest. Two metagenomic approaches, viral-like particle-concentrated (VPC, representing free viral-like particles) and non-concentrated (NC, representing the cellular fraction), were employed to assess their efficacy in revealing virome characteristics, including taxonomy, diversity, host interactions, lifestyle, dynamics, and functional genes across processing units of three wastewater treatment plants (WWTPs). Our findings indicate that each approach offers unique insights into the viral community and functional composition. Their combined use proved effective in elucidating WWTP viromes. We identified nearly 50,000 viral contigs, with Cressdnaviricota and Uroviricota being the predominant phyla in the VPC and NC fractions, respectively. Notably, two pathogenic viral families, Asfarviridae and Adenoviridae, were commonly found in these WWTPs. We also observed significant differences in the viromes of WWTPs processing different types of wastewater. Additionally, various phage-derived auxiliary metabolic genes (AMGs) were active at the RNA level, contributing to the metabolism of the microbial community, particularly in carbon, sulfur, and phosphorus cycling. Moreover, we identified 29 virus-carried antibiotic resistance genes (ARGs) with potential for host transfer, highlighting the role of viruses in spreading ARGs in the environment. Overall, this study provides a detailed and integrated view of the virosphere in three WWTPs through the application of VPC and NC metagenomic approaches. Our findings enhance the understanding of viral communities, offering valuable insights for optimizing the operation and regulation of wastewater treatment systems.

Indexed as

antibiotic resistance geneauxiliary metabolic genemetagenomeviromeviruswastewater treatment system

Identifiers

PMID38898980
PMCPMC11183165

What OpenQuestion holds

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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.