Evidence map›Paper›PMID 38868719›Full record

ArticleiMeta2022

A comparative study of flow cytometry-sorted communities and shotgun viral metagenomics in a Singapore municipal wastewater treatment plant.

Xiaoqiong Gu, Yi Yang, Feijian Mao, Wei Lin Lee, Federica Armas, Fang You, David M Needham, Charmaine Ng, Hongjie Chen, Franciscus Chandra and 1 more

Abstract read
In one paragraph

Article in iMeta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

11 authors.

Xiaoqiong GuDepartment of Civil and Environmental Engineering National University of Singapore Singapore Singapore.ORCID 0000-0002-1133-7739
Yi YangNUS Environmental Research Institute National University of Singapore Singapore Singapore.
Feijian MaoDepartment of Civil and Environmental Engineering National University of Singapore Singapore Singapore.ORCID 0000-0001-9286-0136
Wei Lin LeeAntimicrobial Resistance Interdisciplinary Research Group Singapore-MIT Alliance for Research and Technology Singapore Singapore.ORCID 0000-0003-1048-7556
Federica ArmasAntimicrobial Resistance Interdisciplinary Research Group Singapore-MIT Alliance for Research and Technology Singapore Singapore.ORCID 0000-0001-8034-2972
Fang YouDepartment of Civil and Environmental Engineering National University of Singapore Singapore Singapore.ORCID 0000-0001-7081-1923
David M NeedhamMonterey Bay Aquarium Research Institute Moss Landing California USA.
Charmaine NgDepartment of Civil and Environmental Engineering National University of Singapore Singapore Singapore.
Hongjie ChenDepartment of Civil and Environmental Engineering National University of Singapore Singapore Singapore.ORCID 0000-0003-3139-5706
Franciscus ChandraDepartment of Civil and Environmental Engineering National University of Singapore Singapore Singapore.ORCID 0000-0002-3105-2626
Karina Yew-Hoong GinDepartment of Civil and Environmental Engineering National University of Singapore Singapore Singapore.ORCID 0000-0002-1266-9276

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional or "bulk" viral enrichment and amplification methods used in viral metagenomics introduce unavoidable bias in viral diversity. This bias is due to shortcomings in existing viral enrichment methods and overshadowing by the more abundant viral populations. To reduce the complexity and improve the resolution of viral diversity, we developed a strategy coupling fluorescence-activated cell sorting (FACS) with random amplification and compared this to bulk metagenomics. This strategy was validated on both influent and effluent samples from a municipal wastewater treatment plant using the Modified Ludzack-Ettinger (MLE) process as the treatment method. We found that DNA and RNA communities generated using bulk samples were mostly different from those derived following FACS for both treatments before and after MLE. Before MLE treatment, FACS identified five viral families and 512 viral annotated contigs. Up to 43% of mapped reads were not detected in bulk samples. Nucleo-cytoplasmic large DNA viral families were enriched to a greater extent in the FACS-coupled subpopulations compared with bulk samples. FACS-coupled viromes captured a single-contig viral genome associated with Anabaena phage, which was not observed in bulk samples or in FACS-sorted samples after MLE. These short metagenomic reads, which were assembled into a high-quality draft genome of 46 kbp, were found to be highly dominant in one of the pre-MLE FACS annotated virome fractions (57.4%). Using bulk metagenomics, we identified that between Primary Settling Tank and Secondary Settling Tank viromes,

Indexed as

flow cytometry sortingmodified Ludzack–Ettinger treatmentviral metagenomicswastewater

Identifiers

PMID38868719
PMCPMC10989988

What OpenQuestion holds

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LicenceCC BY
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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.