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Pitfalls Associated with Discriminating Mixed-Species Biofilms by Flow Cytometry

Since biofilms are ubiquitous in different settings and act as sources of disease for humans, reliable methods to characterize and quantify these microbial communities are required. Numerous techniques have been employed, but most of them are unidirectional, labor intensive and time consuming. Altho...

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Autores principales: Grainha, Tânia, Magalhães, Andreia P., Melo, Luís D. R., Pereira, Maria O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7694060/
https://www.ncbi.nlm.nih.gov/pubmed/33121057
http://dx.doi.org/10.3390/antibiotics9110741
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author Grainha, Tânia
Magalhães, Andreia P.
Melo, Luís D. R.
Pereira, Maria O.
author_facet Grainha, Tânia
Magalhães, Andreia P.
Melo, Luís D. R.
Pereira, Maria O.
author_sort Grainha, Tânia
collection PubMed
description Since biofilms are ubiquitous in different settings and act as sources of disease for humans, reliable methods to characterize and quantify these microbial communities are required. Numerous techniques have been employed, but most of them are unidirectional, labor intensive and time consuming. Although flow cytometry (FCM) can be a reliable choice to quickly provide a multiparametric analysis, there are still few applications on biofilms, and even less on the study of inter-kingdom communities. This work aimed to give insights into the application of FCM in order to more comprehensively analyze mixed-species biofilms, formed by different Pseudomonas aeruginosa and Candida albicans strains, before and after exposure to antimicrobials. For comparison purposes, biofilm culturability was also assessed determining colony-forming units. The results showed that some aspects, namely the microbial strain used, the morphological state of the cells and the biofilm matrix, make the accurate analysis of FCM data difficult. These aspects were even more challenging when double-species biofilms were being inspected, as they could engender data misinterpretations. The outcomes draw our attention towards the need to always take into consideration the characteristics of the biofilm samples to be analyzed through FCM, and undoubtedly link to the need for optimization of the processes tailored for each particular case study.
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spelling pubmed-76940602020-11-28 Pitfalls Associated with Discriminating Mixed-Species Biofilms by Flow Cytometry Grainha, Tânia Magalhães, Andreia P. Melo, Luís D. R. Pereira, Maria O. Antibiotics (Basel) Article Since biofilms are ubiquitous in different settings and act as sources of disease for humans, reliable methods to characterize and quantify these microbial communities are required. Numerous techniques have been employed, but most of them are unidirectional, labor intensive and time consuming. Although flow cytometry (FCM) can be a reliable choice to quickly provide a multiparametric analysis, there are still few applications on biofilms, and even less on the study of inter-kingdom communities. This work aimed to give insights into the application of FCM in order to more comprehensively analyze mixed-species biofilms, formed by different Pseudomonas aeruginosa and Candida albicans strains, before and after exposure to antimicrobials. For comparison purposes, biofilm culturability was also assessed determining colony-forming units. The results showed that some aspects, namely the microbial strain used, the morphological state of the cells and the biofilm matrix, make the accurate analysis of FCM data difficult. These aspects were even more challenging when double-species biofilms were being inspected, as they could engender data misinterpretations. The outcomes draw our attention towards the need to always take into consideration the characteristics of the biofilm samples to be analyzed through FCM, and undoubtedly link to the need for optimization of the processes tailored for each particular case study. MDPI 2020-10-27 /pmc/articles/PMC7694060/ /pubmed/33121057 http://dx.doi.org/10.3390/antibiotics9110741 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Grainha, Tânia
Magalhães, Andreia P.
Melo, Luís D. R.
Pereira, Maria O.
Pitfalls Associated with Discriminating Mixed-Species Biofilms by Flow Cytometry
title Pitfalls Associated with Discriminating Mixed-Species Biofilms by Flow Cytometry
title_full Pitfalls Associated with Discriminating Mixed-Species Biofilms by Flow Cytometry
title_fullStr Pitfalls Associated with Discriminating Mixed-Species Biofilms by Flow Cytometry
title_full_unstemmed Pitfalls Associated with Discriminating Mixed-Species Biofilms by Flow Cytometry
title_short Pitfalls Associated with Discriminating Mixed-Species Biofilms by Flow Cytometry
title_sort pitfalls associated with discriminating mixed-species biofilms by flow cytometry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7694060/
https://www.ncbi.nlm.nih.gov/pubmed/33121057
http://dx.doi.org/10.3390/antibiotics9110741
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