Somatic coliphages as bioindicators of contamination in Lake Guamuez, Colombia.


Journal

Canadian journal of microbiology
ISSN: 1480-3275
Titre abrégé: Can J Microbiol
Pays: Canada
ID NLM: 0372707

Informations de publication

Date de publication:
22 Oct 2024
Historique:
medline: 22 10 2024
pubmed: 22 10 2024
entrez: 22 10 2024
Statut: aheadofprint

Résumé

Lake Guamuez is the second largest lake in Colombia and economically supports hundreds of families in the area. The main activities carried out in the region have focused on tourism, agriculture, livestock, and rainbow trout production; however, these activities have been associated with contamination of the lake. This research aimed to evaluate the water quality of Lake Guamuez using somatic coliphages (SCs) as bioindicators. For this purpose, periodic sampling was carried out for six months at 9 strategic points of the lake. For the detection of SCs, the method described in 9211 D of the Standard Methods for the Examination of Water and Wastewater was used. The genomic variability and presence of virulence genes in the isolated SCs were determined. Water contamination in the lake is evident, and the SCs titer is greater in areas with a high flow of anthropogenic activities. An important degree of genetic diversity and a high prevalence of virulence genes could be observed among the SCs analyzed. The results when compared with guidelines and water quality standards from various countries, showed concentrations of SCs higher than those allowed. The high prevalence of gastrointestinal diseases in the region suggests a link to water contamination.

Identifiants

pubmed: 39437437
doi: 10.1139/cjm-2023-0147
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Mario Andres Pantoja España (MA)

Universidad de Nariño, San Juan de Pasto, Colombia; mariopantoja1996@gmail.com.

Miller Cerón Gómez (M)

Universidad de Nariño, Departamento de Matemáticas y Estadística, San Juan de Pasto, Colombia; millercg@udenar.edu.co.

Eddy Patricia López Molano (EP)

Universidad de Nariño, Departamento de Matemáticas y Estadística, San Juan de Pasto, Colombia; patilop@udenar.edu.co.

Raúl Mauricio Insuasty (RM)

Universidad de Narino, San Juan de Pasto, Colombia; raulinsu@hotmail.com.

Eduardo Ibarguen-Mondragón (E)

Universidad de Nariño, Departamento de Matemáticas y Estadística, San Juan de Pasto, Colombia; edbargun@udenar.edu.co.

María Mármol Martínez (M)

Universidad de Nariño, Departamento de Matemáticas y Estadística, San Juan de Pasto, Colombia; mariaalejandramarmolmartinez@gmail.com.

Edith Mariela Burbano-Rosero (EM)

Universidad de Nariño, Departamento de Matemáticas y Estadística, San Juan de Pasto, Colombia.
Universidad de Nariño, Departamento de Biología, San Juan de Pasto, Colombia; marielaburbano@udenar.edu.co.

Deisy Lorena Guerrero-Ceballos (DL)

Universidad de Nariño, Departamento de Matemáticas y Estadística, San Juan de Pasto, Colombia.
Universidad de Nariño, Departamento de Biología, San Juan de Pasto, Colombia; daisymartinez-18@hotmail.com.

Jenny Dimelza Gómez Arrieta (JD)

Universidad de Nariño, San Juan de Pasto, Colombia; rizaldza@gmail.com.

Juan Camilo Paz García (JC)

Universidad de Narino, Departamento de Biología, San Juan de Pasto, Colombia; camilopaz004@gmail.com.

Pablo Heyman Fernández Izquierdo (PH)

Universidad de Nariño, Departamento de Biología, San Juan de Pasto, Colombia; pabfdez@gmail.com.

Arsenio Hidalgo Troya (A)

Universidad de Nariño, San Juan de Pasto, Colombia; archi@udenar.edu.co.

Jaqueline Mena-Huertas (J)

Universidad de Nariño, San Juan de Pasto, Colombia; jmenahuertas@ymail.com.

Noemi Nosomi Taniwaki (NN)

Adolfo Lutz Institute, Sao Paulo, Brazil; ntaniwak@hotmail.com.

Gislene Mitsue Namiyama (GM)

Adolfo Lutz Institute, Sao Paulo, Brazil; ginamiyama@yahoo.com.br.

Classifications MeSH