Molecular detection, quantification and characterization of human polyomavirus JC from waste water in Rio De Janeiro, Brazil

Fumian, Túlio Machado; Guimarães, Flávia Ramos; Vaz, Beatriz; Silva, Marcus Tulius T.; Muylaert, Flávia Fontenelle; Bofill-Mas, Sı́lvia; Gironés, Rosina; Leite, José Paulo Gagliardi; Miagostovich, Marize Pereira

doi:10.2166/wh.2010.090

Cited by 47 publications

(31 citation statements)

References 31 publications

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“…In this study, the percentages of raw and treated sewage samples testing positive for the enteroviruses genome using both concentration methods were 100 %. These results are in concordance with other studies raising concerns about viral contamination risk in treated water [15,26,27]. Enteroviral genomes concentration in raw and treated sewage were high in comparison with studies made on Human adenoviruses and polyomaviruses ranging between 10 2 and 10 3 (GC/mL), respectively, in sewage samples [15,28].…”

Section: Discussionsupporting

confidence: 91%

Comparison of Two Concentration Methods for the Molecular Detection of Enteroviruses in Raw and Treated Sewage

et al. 2015

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Human enteric viruses are a major causative agent of emerging waterborne diseases and constitute a serious public health concern. Environmental contamination occurs through discharge of waste materials from infected persons. Methods for viral detection should be developed to detect low infective dose of enteric viruses in environment. In this study, we aimed at comparing two concentration methods for the detection of naturally occurring enteroviruses in raw and treated sewage. In the first method, polyethylene glycol is used to concentrate viral particles from the collected samples. The second method is based on ultracentrifugation of viral particles at high speed (110,0009g). Genomes of enteroviruses were quantified by the quantitative real-time PCR method in raw and treated sewage samples. PEG-based method yielded higher genomic copies of enteric viruses (with an average of 5.9 log 10 genomic copies/100 mL) when applied to raw sewage samples. While the ultracentrifugation assay in the second method decreases genomic copies number (with an average of 5.4 log 10 genomic copies/100 mL). The recovery differences between the two methods were not significant when applied to clean samples (treated sewage). This could be explained by the presence of inhibitors, which interfere with qRT-PCR, in less quantity comparatively to raw sewage. PEG-based method would be more accurate for samples with highorganic matter load. This report emphasizes the importance of matrices nature on the recovery of enteroviruses from sewage samples. This should be taken into consideration for establishing standardized virological assays to ensure the virological quality control of discharged water in environment.

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Section: Discussionsupporting

confidence: 91%

Comparison of Two Concentration Methods for the Molecular Detection of Enteroviruses in Raw and Treated Sewage

et al. 2015

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“…Previous studies have reported that adenovirus and polyomavirus are predominant in the environment [19][20][21]. Examples of some viral indicator candidates include phages of Bacteroides fragilis and coliphages (e.g., F-RNA phages) [22][23][24][25].…”

Section: Traditional Pathogen Detection Techniques (Culture-based Metmentioning

confidence: 99%

“…Examples of some viral indicator candidates include phages of Bacteroides fragilis and coliphages (e.g., F-RNA phages) [22][23][24][25]. In addition, adenovirus, polyomavirus, norovirus, and enterovirus have been recognized as potential viral markers for human waste contamination [21,[26][27][28]. Hepatitis A and E viruses are associated with poor countries that lack sanitation and strict hygiene controls.…”

Section: Traditional Pathogen Detection Techniques (Culture-based Metmentioning

confidence: 99%

Recommended advanced techniques for waterborne pathogen detection in developing countries

Alhamlan

Al‐Qahtani

Al-Ahdal

2015

J Infect Dev Ctries

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The effect of human activities on water resources has expanded dramatically during the past few decades, leading to the spread of waterborne microbial pathogens. The total global health impact of human infectious diseases associated with pathogenic microorganisms from landbased wastewater pollution was estimated to be approximately three million disability-adjusted life years (DALY), with an estimated economic loss of nearly 12 billion US dollars per year. Although clean water is essential for healthy living, it is not equally granted to all humans. Indeed, people who live in developing countries are challenged every day by an inadequate supply of clean water. Polluted water can lead to health crises that in turn spread waterborne pathogens. Taking measures to assess the water quality can prevent these potential risks. Thus, a pressing need has emerged in developing countries for comprehensive and accurate assessments of water quality. This review presents current and emerging advanced techniques for assessing water quality that can be adopted by authorities in developing countries.

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“…Several studies (Mucillo et al 2008;Miagostovich et al 2008;Lee et al 2013) point out that the AdVs can be considered a reliable indicator of fecal pollution for environmental monitoring. Although other viruses, such as JC polyomavirus (JCPyV), coliphage, and bacteriophages, have been proposed as potential viral contamination indicators in different environmental matrices (Albinana-Gimenez et al 2009;Fumian et al 2010), the AdVs have advantages over other markers, since they are stable, easily detected in the environment, and can be isolated in several cell culture for assessing viral viability AlbinanaGimenez et al 2009;Schlindwein et al 2010 …”

Section: Statistical Analysis Of Various Environmental Parametersmentioning

confidence: 99%

Surface water quality in the Sinos River basin, in Southern Brazil: tracking microbiological contamination and correlation with physicochemical parameters

Vecchia

Rigotto

Staggemeier

et al. 2015

Environ Sci Pollut Res

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Around the world, enteric viruses are often found in surface waters. This study set out to evaluate the occurrence of adenoviruses (AdVs) in water samples, and its relation to different physical, chemical, and bacteriological parameters [total coliform (TC) and fecal coliform (FC), represented by Escherichia coli]. Monthly samples of 500 ml of raw water were collected from May 2011 to June 2013 in eight abstraction points water treatment stations along three stretches of the Sinos River Basin (SRB), in Southern Brazil and, subsequently, were analyzed using real-time polymerase chain reaction (qPCR). AdVs from different species, from human (HAdV), and from other animals (CAV1-2, BAdV, PAdV, and AvAdV) were detected along the three stretches of the basin, indicating fecal contamination from different sources and proving the inefficiency of the wastewater treatment in the waters of the SRB and intensifying the strong influence of human activities that can contribute to the presence of inhibitory substances such as organic acids in surface of these waters. Statistical analyses revealed no significant correlations between the concentrations of TC and FC and the concentrations of AdVs. We observed a small, nonconstant, and unstable correlation between viruses and physicochemical parameters. These correlations were not sufficiently consistent to establish a reliable association; therefore, this study corroborates that only the viral assay itself is reliable for the diagnosis of fecal contamination by viruses in environmental samples.

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Molecular detection, quantification and characterization of human polyomavirus JC from waste water in Rio De Janeiro, Brazil

Cited by 47 publications

References 31 publications

Comparison of Two Concentration Methods for the Molecular Detection of Enteroviruses in Raw and Treated Sewage

Comparison of Two Concentration Methods for the Molecular Detection of Enteroviruses in Raw and Treated Sewage

Recommended advanced techniques for waterborne pathogen detection in developing countries

Surface water quality in the Sinos River basin, in Southern Brazil: tracking microbiological contamination and correlation with physicochemical parameters

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