Evidence map›Paper›PMID 35475464›Full record

ArticleEmerging microbes & infections2022

Detection of human, porcine and canine picornaviruses in municipal sewage sludge using pan-enterovirus amplicon-based long-read Illumina sequencing.

Temitope O C Faleye, Erin M Driver, Devin A Bowes, Rochelle H Holm, Daymond Talley, Ray Yeager, Aruni Bhatnagar, Ted Smith, Arvind Varsani, Rolf U Halden and 1 more

Open access · goldAbstract read
In one paragraph

Article in Emerging microbes & infections, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Direct detection of canine picornavirus complete coding sequence in wastewater using long-range reverse-transcriptase polymerase chain reaction and long-read sequencing.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2024
    Article
  6. Article
  7. Canine picornaviruses detected in wastewater in Arizona, USA 2019 and 2021.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2022
    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 at 4 institutions in 2 countries.

Temitope O C FaleyeBiodesign Center for Environmental Health Engineering, Biodesign Institute, Arizona State University, Tempe, AZ, USA.ORCID 0000-0001-7706-9493
Erin M DriverBiodesign Center for Environmental Health Engineering, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Devin A BowesBiodesign Center for Environmental Health Engineering, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Rochelle H HolmChristina Lee Brown Environment Institute, University of Louisville, Louisville, KY, USA.ORCID 0000-0001-8849-1390
Daymond TalleyLouisville/Jefferson County Metropolitan Sewer District, Morris Forman Water Quality Treatment Center, Louisville, KY, USA.
Ray YeagerChristina Lee Brown Environment Institute, University of Louisville, Louisville, KY, USA.
Aruni BhatnagarChristina Lee Brown Environment Institute, University of Louisville, Louisville, KY, USA.
Ted SmithChristina Lee Brown Environment Institute, University of Louisville, Louisville, KY, USA.ORCID 0000-0003-2804-4294
Arvind VarsaniBiodesign Center for Fundamental and Applied Microbiomics, Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ USA.
Rolf U HaldenBiodesign Center for Environmental Health Engineering, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Matthew ScotchBiodesign Center for Environmental Health Engineering, Biodesign Institute, Arizona State University, Tempe, AZ, USA.ORCID 0000-0001-5100-9724
Center for Environmental Health · USUniversity of Louisville · USArizona State University · USMilwaukee Metropolitan Sewerage District · US

Funding

Bioinformatics Framework for Wastewater-based Surveillance of Infectious DiseasesU01LM013129 · NLM · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI HALDEN, ROLF U, SCOTCH, MATTHEW · 2020 to 2022
$3.3M
NLM NIH HHS U01 LM013129
6 · The paper itself

Abstract

We describe the successful detection of human, porcine and canine picornaviruses (CanPV) in sewage sludge (at each stage of treatment) from Louisville, Kentucky, USA, using Pan-enterovirus amplicon-based long-read Illumina sequencing. Based on publicly available sequence data in GenBank, this is the first detection of CanPV in the USA and the first detection globally using wastewater-based epidemiology. Our findings also suggest there might be clusters of endemic porcine enterovirus (which have been shown capable of causing systemic infection in porcine) circulation in the USA that have not been sampled for around two decades. Our findings highlight the value of WBE coupled with amplicon based long-read Illumina sequencing for virus surveillance and demonstrates this approach can provide an avenue that supports a "One Health" model to virus surveillance. Finally, we describe a new CanPV assay targeting the capsid protein gene region that can be used globally, especially in resource limited settings for its detection and molecular epidemiology.

Indexed as

EnterovirusEnterovirus InfectionsPicornaviridaeAnimalsAntigens, ViralDogsHigh-Throughput Nucleotide SequencingHumansSewageSwineAntigens, ViralSewagehigh-throughput nucleotide sequencingKentuckyOne HealthPicornaviridaewastewater-based epidemiological monitoring

Identifiers

PMID35475464
PMCPMC9132413
OpenAlexW4224942955

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.