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Pyrosequencing Unveils Cystic Fibrosis Lung Microbiome Differences Associated with a Severe Lung Function Decline
Chronic airway infection is a hallmark feature of cystic fibrosis (CF) disease. In the present study, sputum samples from CF patients were collected and characterized by 16S rRNA gene-targeted approach, to assess how lung microbiota composition changes following a severe decline in lung function. In...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4927098/ https://www.ncbi.nlm.nih.gov/pubmed/27355625 http://dx.doi.org/10.1371/journal.pone.0156807 |
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author | Bacci, Giovanni Paganin, Patrizia Lopez, Loredana Vanni, Chiara Dalmastri, Claudia Cantale, Cristina Daddiego, Loretta Perrotta, Gaetano Dolce, Daniela Morelli, Patrizia Tuccio, Vanessa De Alessandri, Alessandra Fiscarelli, Ersilia Vita Taccetti, Giovanni Lucidi, Vincenzina Bevivino, Annamaria Mengoni, Alessio |
author_facet | Bacci, Giovanni Paganin, Patrizia Lopez, Loredana Vanni, Chiara Dalmastri, Claudia Cantale, Cristina Daddiego, Loretta Perrotta, Gaetano Dolce, Daniela Morelli, Patrizia Tuccio, Vanessa De Alessandri, Alessandra Fiscarelli, Ersilia Vita Taccetti, Giovanni Lucidi, Vincenzina Bevivino, Annamaria Mengoni, Alessio |
author_sort | Bacci, Giovanni |
collection | PubMed |
description | Chronic airway infection is a hallmark feature of cystic fibrosis (CF) disease. In the present study, sputum samples from CF patients were collected and characterized by 16S rRNA gene-targeted approach, to assess how lung microbiota composition changes following a severe decline in lung function. In particular, we compared the airway microbiota of two groups of patients with CF, i.e. patients with a substantial decline in their lung function (SD) and patients with a stable lung function (S). The two groups showed a different bacterial composition, with SD patients reporting a more heterogeneous community than the S ones. Pseudomonas was the dominant genus in both S and SD patients followed by Staphylococcus and Prevotella. Other than the classical CF pathogens and the most commonly identified non-classical genera in CF, we found the presence of the unusual anaerobic genus Sneathia. Moreover, the oligotyping analysis revealed the presence of other minor genera described in CF, highlighting the polymicrobial nature of CF infection. Finally, the analysis of correlation and anti-correlation networks showed the presence of antagonism and ecological independence between members of Pseudomonas genus and the rest of CF airways microbiota, with S patients showing a more interconnected community in S patients than in SD ones. This population structure suggests a higher resilience of S microbiota with respect to SD, which in turn may hinder the potential adverse impact of aggressive pathogens (e.g. Pseudomonas). In conclusion, our findings shed a new light on CF airway microbiota ecology, improving current knowledge about its composition and polymicrobial interactions in patients with CF. |
format | Online Article Text |
id | pubmed-4927098 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-49270982016-07-18 Pyrosequencing Unveils Cystic Fibrosis Lung Microbiome Differences Associated with a Severe Lung Function Decline Bacci, Giovanni Paganin, Patrizia Lopez, Loredana Vanni, Chiara Dalmastri, Claudia Cantale, Cristina Daddiego, Loretta Perrotta, Gaetano Dolce, Daniela Morelli, Patrizia Tuccio, Vanessa De Alessandri, Alessandra Fiscarelli, Ersilia Vita Taccetti, Giovanni Lucidi, Vincenzina Bevivino, Annamaria Mengoni, Alessio PLoS One Research Article Chronic airway infection is a hallmark feature of cystic fibrosis (CF) disease. In the present study, sputum samples from CF patients were collected and characterized by 16S rRNA gene-targeted approach, to assess how lung microbiota composition changes following a severe decline in lung function. In particular, we compared the airway microbiota of two groups of patients with CF, i.e. patients with a substantial decline in their lung function (SD) and patients with a stable lung function (S). The two groups showed a different bacterial composition, with SD patients reporting a more heterogeneous community than the S ones. Pseudomonas was the dominant genus in both S and SD patients followed by Staphylococcus and Prevotella. Other than the classical CF pathogens and the most commonly identified non-classical genera in CF, we found the presence of the unusual anaerobic genus Sneathia. Moreover, the oligotyping analysis revealed the presence of other minor genera described in CF, highlighting the polymicrobial nature of CF infection. Finally, the analysis of correlation and anti-correlation networks showed the presence of antagonism and ecological independence between members of Pseudomonas genus and the rest of CF airways microbiota, with S patients showing a more interconnected community in S patients than in SD ones. This population structure suggests a higher resilience of S microbiota with respect to SD, which in turn may hinder the potential adverse impact of aggressive pathogens (e.g. Pseudomonas). In conclusion, our findings shed a new light on CF airway microbiota ecology, improving current knowledge about its composition and polymicrobial interactions in patients with CF. Public Library of Science 2016-06-29 /pmc/articles/PMC4927098/ /pubmed/27355625 http://dx.doi.org/10.1371/journal.pone.0156807 Text en © 2016 Bacci et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Bacci, Giovanni Paganin, Patrizia Lopez, Loredana Vanni, Chiara Dalmastri, Claudia Cantale, Cristina Daddiego, Loretta Perrotta, Gaetano Dolce, Daniela Morelli, Patrizia Tuccio, Vanessa De Alessandri, Alessandra Fiscarelli, Ersilia Vita Taccetti, Giovanni Lucidi, Vincenzina Bevivino, Annamaria Mengoni, Alessio Pyrosequencing Unveils Cystic Fibrosis Lung Microbiome Differences Associated with a Severe Lung Function Decline |
title | Pyrosequencing Unveils Cystic Fibrosis Lung Microbiome Differences Associated with a Severe Lung Function Decline |
title_full | Pyrosequencing Unveils Cystic Fibrosis Lung Microbiome Differences Associated with a Severe Lung Function Decline |
title_fullStr | Pyrosequencing Unveils Cystic Fibrosis Lung Microbiome Differences Associated with a Severe Lung Function Decline |
title_full_unstemmed | Pyrosequencing Unveils Cystic Fibrosis Lung Microbiome Differences Associated with a Severe Lung Function Decline |
title_short | Pyrosequencing Unveils Cystic Fibrosis Lung Microbiome Differences Associated with a Severe Lung Function Decline |
title_sort | pyrosequencing unveils cystic fibrosis lung microbiome differences associated with a severe lung function decline |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4927098/ https://www.ncbi.nlm.nih.gov/pubmed/27355625 http://dx.doi.org/10.1371/journal.pone.0156807 |
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