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Quantitative assessment of individual populations within polymicrobial biofilms
Selecting appropriate tools providing reliable quantitative measures of individual populations in biofilms is critical as we now recognize their true polymicrobial and heterogeneous nature. Here, plate count, quantitative real-time polymerase chain reaction (q-PCR) and peptide nucleic acid probe-flu...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015014/ https://www.ncbi.nlm.nih.gov/pubmed/29934504 http://dx.doi.org/10.1038/s41598-018-27497-9 |
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author | Lopes, Susana Patrícia Azevedo, Nuno Filipe Pereira, Maria Olívia |
author_facet | Lopes, Susana Patrícia Azevedo, Nuno Filipe Pereira, Maria Olívia |
author_sort | Lopes, Susana Patrícia |
collection | PubMed |
description | Selecting appropriate tools providing reliable quantitative measures of individual populations in biofilms is critical as we now recognize their true polymicrobial and heterogeneous nature. Here, plate count, quantitative real-time polymerase chain reaction (q-PCR) and peptide nucleic acid probe-fluorescence in situ hybridization (PNA-FISH) were employed to quantitate cystic fibrosis multispecies biofilms. Growth of Pseudomonas aeruginosa, Inquilinus limosus and Dolosigranulum pigrum was assessed in dual- and triple-species consortia under oxygen and antibiotic stress. Quantification methods, that were previously optimized and validated in planktonic consortia, were not always in agreement when applied in multispecies biofilms. Discrepancies in culture and molecular outcomes were observed, particularly for triple-species consortia and antibiotic-stressed biofilms. Some differences were observed, such as the higher bacterial counts obtained by q-PCR and/or PNA-FISH (≤4 log(10) cells/cm(2)) compared to culture. But the discrepancies between PNA-FISH and q-PCR data (eg D. pigrum limited assessment by q-PCR) demonstrate the effect of biofilm heterogeneity in method’s reliability. As the heterogeneity in biofilms is a reflection of a myriad of variables, tailoring an accurate picture of communities´ changes is crucial. This work demonstrates that at least two, but preferentially three, quantification techniques are required to obtain reliable measures and take comprehensive analysis of polymicrobial biofilm-associated infections. |
format | Online Article Text |
id | pubmed-6015014 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60150142018-07-06 Quantitative assessment of individual populations within polymicrobial biofilms Lopes, Susana Patrícia Azevedo, Nuno Filipe Pereira, Maria Olívia Sci Rep Article Selecting appropriate tools providing reliable quantitative measures of individual populations in biofilms is critical as we now recognize their true polymicrobial and heterogeneous nature. Here, plate count, quantitative real-time polymerase chain reaction (q-PCR) and peptide nucleic acid probe-fluorescence in situ hybridization (PNA-FISH) were employed to quantitate cystic fibrosis multispecies biofilms. Growth of Pseudomonas aeruginosa, Inquilinus limosus and Dolosigranulum pigrum was assessed in dual- and triple-species consortia under oxygen and antibiotic stress. Quantification methods, that were previously optimized and validated in planktonic consortia, were not always in agreement when applied in multispecies biofilms. Discrepancies in culture and molecular outcomes were observed, particularly for triple-species consortia and antibiotic-stressed biofilms. Some differences were observed, such as the higher bacterial counts obtained by q-PCR and/or PNA-FISH (≤4 log(10) cells/cm(2)) compared to culture. But the discrepancies between PNA-FISH and q-PCR data (eg D. pigrum limited assessment by q-PCR) demonstrate the effect of biofilm heterogeneity in method’s reliability. As the heterogeneity in biofilms is a reflection of a myriad of variables, tailoring an accurate picture of communities´ changes is crucial. This work demonstrates that at least two, but preferentially three, quantification techniques are required to obtain reliable measures and take comprehensive analysis of polymicrobial biofilm-associated infections. Nature Publishing Group UK 2018-06-22 /pmc/articles/PMC6015014/ /pubmed/29934504 http://dx.doi.org/10.1038/s41598-018-27497-9 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Lopes, Susana Patrícia Azevedo, Nuno Filipe Pereira, Maria Olívia Quantitative assessment of individual populations within polymicrobial biofilms |
title | Quantitative assessment of individual populations within polymicrobial biofilms |
title_full | Quantitative assessment of individual populations within polymicrobial biofilms |
title_fullStr | Quantitative assessment of individual populations within polymicrobial biofilms |
title_full_unstemmed | Quantitative assessment of individual populations within polymicrobial biofilms |
title_short | Quantitative assessment of individual populations within polymicrobial biofilms |
title_sort | quantitative assessment of individual populations within polymicrobial biofilms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015014/ https://www.ncbi.nlm.nih.gov/pubmed/29934504 http://dx.doi.org/10.1038/s41598-018-27497-9 |
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