Cargando…

Tracking SARS-CoV-2 in rivers as a tool for epidemiological surveillance

The aim of this work was to evaluate if rivers could be used for SARS-CoV-2 surveillance. Five sampling points from three rivers (AR-1 and AR-2 in Arenales River, MR-1 and MR-2 in Mojotoro River, and CR in La Caldera River) from Salta (Argentina), two of them receiving discharges from wastewater pla...

Descripción completa

Detalles Bibliográficos
Autores principales: Maidana-Kulesza, María Noel, Poma, Hugo Ramiro, Sanguino-Jorquera, Diego Gastón, Reyes, Sarita Isabel, del Milagro Said-Adamo, María, Mainardi-Remis, Juan Martín, Gutiérrez-Cacciabue, Dolores, Cristóbal, Héctor Antonio, Cruz, Mercedes Cecilia, Aparicio González, Mónica, Rajal, Verónica Beatriz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334864/
https://www.ncbi.nlm.nih.gov/pubmed/35908692
http://dx.doi.org/10.1016/j.scitotenv.2022.157707
_version_ 1784759200156483584
author Maidana-Kulesza, María Noel
Poma, Hugo Ramiro
Sanguino-Jorquera, Diego Gastón
Reyes, Sarita Isabel
del Milagro Said-Adamo, María
Mainardi-Remis, Juan Martín
Gutiérrez-Cacciabue, Dolores
Cristóbal, Héctor Antonio
Cruz, Mercedes Cecilia
Aparicio González, Mónica
Rajal, Verónica Beatriz
author_facet Maidana-Kulesza, María Noel
Poma, Hugo Ramiro
Sanguino-Jorquera, Diego Gastón
Reyes, Sarita Isabel
del Milagro Said-Adamo, María
Mainardi-Remis, Juan Martín
Gutiérrez-Cacciabue, Dolores
Cristóbal, Héctor Antonio
Cruz, Mercedes Cecilia
Aparicio González, Mónica
Rajal, Verónica Beatriz
author_sort Maidana-Kulesza, María Noel
collection PubMed
description The aim of this work was to evaluate if rivers could be used for SARS-CoV-2 surveillance. Five sampling points from three rivers (AR-1 and AR-2 in Arenales River, MR-1 and MR-2 in Mojotoro River, and CR in La Caldera River) from Salta (Argentina), two of them receiving discharges from wastewater plants (WWTP), were monitored from July to December 2020. Fifteen water samples from each point (75 in total) were collected and characterized physico-chemically and microbiologically and SARS-CoV-2 was quantified by RT-qPCR. Also, two targets linked to human contributions, human polyomavirus (HPyV) and RNase P, were quantified and used to normalize SARS-CoV-2 concentration, which was compared to reported COVID-19 cases. Statistical analyses allowed us to verify the correlation between SARS-CoV-2 and the concentration of fecal indicator bacteria (FIB), as well as to find similarities and differences between sampling points. La Caldera River showed the best water quality; FIBs were within acceptable limits for recreational activities. Mojotoro River's water quality was not affected by the northern WWTP of the city. Instead, Arenales River presented the poorest water quality; at AR-2 was negatively affected by the discharges of the southern WWTP, which contributed to significant increase of fecal contamination. SARS-CoV-2 was found in about half of samples in low concentrations in La Caldera and Mojotoro Rivers, while it was high and persistent in Arenales River. No human tracers were detected in CR, only HPyV was found in MR-1, MR-2 and AR-1, and both were quantified in AR-2. The experimental and normalized viral concentrations strongly correlated with reported COVID-19 cases; thus, Arenales River at AR-2 reflected the epidemiological situation of the city. This is the first study showing the dynamic of SARS-CoV-2 concentration in an urban river highly impacted by wastewater and proved that can be used for SARS-CoV-2 surveillance to support health authorities.
format Online
Article
Text
id pubmed-9334864
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier B.V.
record_format MEDLINE/PubMed
spelling pubmed-93348642022-07-29 Tracking SARS-CoV-2 in rivers as a tool for epidemiological surveillance Maidana-Kulesza, María Noel Poma, Hugo Ramiro Sanguino-Jorquera, Diego Gastón Reyes, Sarita Isabel del Milagro Said-Adamo, María Mainardi-Remis, Juan Martín Gutiérrez-Cacciabue, Dolores Cristóbal, Héctor Antonio Cruz, Mercedes Cecilia Aparicio González, Mónica Rajal, Verónica Beatriz Sci Total Environ Article The aim of this work was to evaluate if rivers could be used for SARS-CoV-2 surveillance. Five sampling points from three rivers (AR-1 and AR-2 in Arenales River, MR-1 and MR-2 in Mojotoro River, and CR in La Caldera River) from Salta (Argentina), two of them receiving discharges from wastewater plants (WWTP), were monitored from July to December 2020. Fifteen water samples from each point (75 in total) were collected and characterized physico-chemically and microbiologically and SARS-CoV-2 was quantified by RT-qPCR. Also, two targets linked to human contributions, human polyomavirus (HPyV) and RNase P, were quantified and used to normalize SARS-CoV-2 concentration, which was compared to reported COVID-19 cases. Statistical analyses allowed us to verify the correlation between SARS-CoV-2 and the concentration of fecal indicator bacteria (FIB), as well as to find similarities and differences between sampling points. La Caldera River showed the best water quality; FIBs were within acceptable limits for recreational activities. Mojotoro River's water quality was not affected by the northern WWTP of the city. Instead, Arenales River presented the poorest water quality; at AR-2 was negatively affected by the discharges of the southern WWTP, which contributed to significant increase of fecal contamination. SARS-CoV-2 was found in about half of samples in low concentrations in La Caldera and Mojotoro Rivers, while it was high and persistent in Arenales River. No human tracers were detected in CR, only HPyV was found in MR-1, MR-2 and AR-1, and both were quantified in AR-2. The experimental and normalized viral concentrations strongly correlated with reported COVID-19 cases; thus, Arenales River at AR-2 reflected the epidemiological situation of the city. This is the first study showing the dynamic of SARS-CoV-2 concentration in an urban river highly impacted by wastewater and proved that can be used for SARS-CoV-2 surveillance to support health authorities. Elsevier B.V. 2022-11-20 2022-07-29 /pmc/articles/PMC9334864/ /pubmed/35908692 http://dx.doi.org/10.1016/j.scitotenv.2022.157707 Text en © 2022 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Maidana-Kulesza, María Noel
Poma, Hugo Ramiro
Sanguino-Jorquera, Diego Gastón
Reyes, Sarita Isabel
del Milagro Said-Adamo, María
Mainardi-Remis, Juan Martín
Gutiérrez-Cacciabue, Dolores
Cristóbal, Héctor Antonio
Cruz, Mercedes Cecilia
Aparicio González, Mónica
Rajal, Verónica Beatriz
Tracking SARS-CoV-2 in rivers as a tool for epidemiological surveillance
title Tracking SARS-CoV-2 in rivers as a tool for epidemiological surveillance
title_full Tracking SARS-CoV-2 in rivers as a tool for epidemiological surveillance
title_fullStr Tracking SARS-CoV-2 in rivers as a tool for epidemiological surveillance
title_full_unstemmed Tracking SARS-CoV-2 in rivers as a tool for epidemiological surveillance
title_short Tracking SARS-CoV-2 in rivers as a tool for epidemiological surveillance
title_sort tracking sars-cov-2 in rivers as a tool for epidemiological surveillance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334864/
https://www.ncbi.nlm.nih.gov/pubmed/35908692
http://dx.doi.org/10.1016/j.scitotenv.2022.157707
work_keys_str_mv AT maidanakuleszamarianoel trackingsarscov2inriversasatoolforepidemiologicalsurveillance
AT pomahugoramiro trackingsarscov2inriversasatoolforepidemiologicalsurveillance
AT sanguinojorqueradiegogaston trackingsarscov2inriversasatoolforepidemiologicalsurveillance
AT reyessaritaisabel trackingsarscov2inriversasatoolforepidemiologicalsurveillance
AT delmilagrosaidadamomaria trackingsarscov2inriversasatoolforepidemiologicalsurveillance
AT mainardiremisjuanmartin trackingsarscov2inriversasatoolforepidemiologicalsurveillance
AT gutierrezcacciabuedolores trackingsarscov2inriversasatoolforepidemiologicalsurveillance
AT cristobalhectorantonio trackingsarscov2inriversasatoolforepidemiologicalsurveillance
AT cruzmercedescecilia trackingsarscov2inriversasatoolforepidemiologicalsurveillance
AT apariciogonzalezmonica trackingsarscov2inriversasatoolforepidemiologicalsurveillance
AT rajalveronicabeatriz trackingsarscov2inriversasatoolforepidemiologicalsurveillance