Evidence map›Paper›PMID 30945138›Full record

ArticleFood and environmental virology2019

Microbial Source Tracking Analysis Using Viral Indicators in Santa Lucía and Uruguay Rivers, Uruguay.

Viviana Bortagaray, Andrés Lizasoain, Claudia Piccini, Luciana Gillman, Mabel Berois, Sonia Pou, María Del Pilar Díaz, Fernando López Tort, Rodney Colina, Matías Victoria

Abstract read
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In one paragraph

Article in Food and environmental virology, 2019. 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
–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

5 citing papers in PubMed.

  1. Source tracking of fecal contamination in Asian green mussels (Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2024
    Article
  2. Article
  3. Article
  4. Review
  5. 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

10 authors.

Viviana BortagarayLaboratory of Molecular Virology, Department of Biological Sciences, CENUR Litoral Norte, Sede Salto, Universidad de la República, Salto, Uruguay.
Andrés LizasoainLaboratory of Molecular Virology, Department of Biological Sciences, CENUR Litoral Norte, Sede Salto, Universidad de la República, Salto, Uruguay.
Claudia PicciniDepartment of Microbiology, Instituto de Investigaciones Biológicas Clemente Estable, Montevideo, Uruguay.
Luciana GillmanVirology Section, School of Sciences, Universidad de la República, Montevideo, Uruguay.
Mabel BeroisVirology Section, School of Sciences, Universidad de la República, Montevideo, Uruguay.
Sonia PouInstitute of Research in Health Sciences (INICSA), Faculty of Medical Sciences, CONICET and Biostatistics Unit, School of Nutrition, Faculty of Medical Sciences, National University of Córdoba, Córdoba, Argentina.
María Del Pilar DíazInstitute of Research in Health Sciences (INICSA), Faculty of Medical Sciences, CONICET and Biostatistics Unit, School of Nutrition, Faculty of Medical Sciences, National University of Córdoba, Córdoba, Argentina.
Fernando López TortLaboratory of Molecular Virology, Department of Biological Sciences, CENUR Litoral Norte, Sede Salto, Universidad de la República, Salto, Uruguay.
Rodney ColinaLaboratory of Molecular Virology, Department of Biological Sciences, CENUR Litoral Norte, Sede Salto, Universidad de la República, Salto, Uruguay.
Matías VictoriaLaboratory of Molecular Virology, Department of Biological Sciences, CENUR Litoral Norte, Sede Salto, Universidad de la República, Salto, Uruguay. matvicmon@yahoo.com.ORCID 0000-0001-6101-6936

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to determine the origin (human, bovine or porcine) and the concentration of the fecal sources of contamination in waters from Santa Lucía basin and Uruguay River in Uruguay by using host-specific viral markers (adenoviruses and polyomaviruses) as microbial source tracking (MST). Between June 2015 and May 2016, monthly collections of surface water samples were performed in six sites in Santa Lucía basin and four sites in Uruguay River (n = 120 samples). Viral concentration was carried out using an absorption-elution method. Detection and quantification of human and porcine adenovirus (HAdV and PAdV, respectively) and human and bovine polyomavirus (HPyV and BoPyV, respectively) were performed by quantitative PCR (qPCR). To evaluate the infectivity of circulating HAdV, an integrated cell culture-qPCR (ICC-qPCR) was used. A logistic regression analysis was carried out to estimate the influence of environmental variables on the virus presence in surface waters. Overall, HAdV was the prevalent (18%; 21/120) followed by BoPyV (11%; 13/120) and HPyV (3%; 3/120), whereas PAdV was not detected in this study. The mean concentration ranged from 1.5 × 10

Indexed as

AnimalsCattleFecesHumansReal-Time Polymerase Chain ReactionRiversSewageSwineUruguayVirusesWater PollutionSewageAdenovirusFecal contaminationMSTPolyomavirusSurface watersUruguay

Identifiers

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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.