Detection and taxonomic identification of emerging pathogenic yeasts in surface waters from Lagoon Systems in Rio de Janeiro, Brazil

This study aimed to detect and identify emerging pathogenic yeasts in surface waters from two Lagoon Systems in Rio de Janeiro, Brazil, by polyphasic taxonomy. The monitoring of potentially pathogenic fungi in aquatic environments, especially in regions impacted by human actions, is highlighted in this study as one of the axes of the One Health approach. Water samples were collected, and after isolation, fungi were identified by polyphasic taxonomy, including MALDI-TOF-MS, which is also used for bacteria identification. Our results describe the physicochemical parameters of the surface water of these lagoons and reveal a significant diversity of yeast species, some of which are known to exhibit pathogenic potential and resistance to common antifungal treatments, as well as bacteria with resistance profiles to several currently used antibiotics. We conclude that Jacarepaguá Lagoon is the most impacted compared to Piratininga Lagoon; however, we highlight the urgent need for targeted interventions to mitigate pollution in both Lagoons, reinforcing the value of long-term surveillance in both ecosystems. We believe that monitoring emerging species is as critical as analyzing traditional water quality parameters. Early detection of resistant or invasive pathogens in aquatic ecosystems can prevent disease outbreaks, protect biodiversity, and mitigate public health risks, preventing loss of life, and optimizing public healthcare system expenditures.

Authors

Institutions

Publication Details

Journal
Environmental Monitoring and Assessment
Published
2025-04-26
DOI
https://doi.org/10.1007/s10661-025-14022-5
Citations
3
Primary Topic
Microbial Community Ecology and Physiology
Type
article
Field-Weighted Citation Impact
5.15

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Detection and taxonomic identification of emerging pathogenic yeasts in surface waters from Lagoon Systems in Rio de Janeiro, Brazil

Tatiane Nobre Pinto, Gisela Lara da Costa, Manoel Marques Evangelista Oliveira, Danielly Corrêa-Moreira et al.
3 citations
Environmental Monitoring and Assessment
Microbial Community Ecology and Physiology
5.15
article

Detection and taxonomic identification of emerging pathogenic yeasts in surface waters from Lagoon Systems in Rio de Janeiro, Brazil

Tatiane Nobre Pinto, Gisela Lara da Costa, Manoel Marques Evangelista Oliveira, Danielly Corrêa-Moreira, Enrico Mendes Saggioro, Thiago Pavoni Gomes Chagas, Viviane Zahner, André Luís de Sá Salomão, Laura Brandão Martins, Julia Araujo Alves, Milena Conceição Amorim
article en
3 citations

Abstract

This study aimed to detect and identify emerging pathogenic yeasts in surface waters from two Lagoon Systems in Rio de Janeiro, Brazil, by polyphasic taxonomy. The monitoring of potentially pathogenic fungi in aquatic environments, especially in regions impacted by human actions, is highlighted in this study as one of the axes of the One Health approach. Water samples were collected, and after isolation, fungi were identified by polyphasic taxonomy, including MALDI-TOF-MS, which is also used for bacteria identification. Our results describe the physicochemical parameters of the surface water of these lagoons and reveal a significant diversity of yeast species, some of which are known to exhibit pathogenic potential and resistance to common antifungal treatments, as well as bacteria with resistance profiles to several currently used antibiotics. We conclude that Jacarepaguá Lagoon is the most impacted compared to Piratininga Lagoon; however, we highlight the urgent need for targeted interventions to mitigate pollution in both Lagoons, reinforcing the value of long-term surveillance in both ecosystems. We believe that monitoring emerging species is as critical as analyzing traditional water quality parameters. Early detection of resistant or invasive pathogens in aquatic ecosystems can prevent disease outbreaks, protect biodiversity, and mitigate public health risks, preventing loss of life, and optimizing public healthcare system expenditures.

Environmental Monitoring and AssessmentVol. 197(5)
Universidade Federal Fluminense (BR), Universidade do Estado do Rio de Janeiro (BR), Fundação Oswaldo Cruz (BR)
Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
Life below water
Openalex Percentile: Top 6%
Microbial Community Ecology and Physiology
5.15
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.