Ecological Succession of Polymicrobial Communities in the Cystic Fibrosis Airways

ABSTRACT Antimicrobial therapies against cystic fibrosis (CF) lung infections are largely aimed at the traditional, well-studied CF pathogens such as Pseudomonas aeruginosa and Burkholderia cepacia complex, despite the fact that the CF lung harbors a complex and dynamic polymicrobial community. A cl...

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Autores principales: Rutvij A. Khanolkar, Shawn T. Clark, Pauline W. Wang, David M. Hwang, Yvonne C. W. Yau, Valerie J. Waters, David S. Guttman
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Publicado: American Society for Microbiology 2020
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Acceso en línea:https://doaj.org/article/b3b479ac877c4814a5030151659b0b4d
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spelling oai:doaj.org-article:b3b479ac877c4814a5030151659b0b4d2021-12-02T18:15:47ZEcological Succession of Polymicrobial Communities in the Cystic Fibrosis Airways10.1128/mSystems.00809-202379-5077https://doaj.org/article/b3b479ac877c4814a5030151659b0b4d2020-12-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mSystems.00809-20https://doaj.org/toc/2379-5077ABSTRACT Antimicrobial therapies against cystic fibrosis (CF) lung infections are largely aimed at the traditional, well-studied CF pathogens such as Pseudomonas aeruginosa and Burkholderia cepacia complex, despite the fact that the CF lung harbors a complex and dynamic polymicrobial community. A clinical focus on the dominant pathogens ignores potentially important community-level interactions in disease pathology, perhaps explaining why these treatments are often less effective than predicted based on in vitro testing. A better understanding of the ecological dynamics of this ecosystem may enable clinicians to harness these interactions and thereby improve treatment outcomes. Like all ecosystems, the CF lung microbial community develops through a series of stages, each of which may present with distinct microbial communities that generate unique host-microbe and microbe-microbe interactions, metabolic profiles, and clinical phenotypes. While insightful models have been developed to explain some of these stages and interactions, there is no unifying model to describe how these infections develop and persist. Here, we review current perspectives on the ecology of the CF airway and present the CF Ecological Succession (CFES) model that aims to capture the spatial and temporal complexity of CF lung infection, address current challenges in disease management, and inform the development of ecologically driven therapeutic strategies.Rutvij A. KhanolkarShawn T. ClarkPauline W. WangDavid M. HwangYvonne C. W. YauValerie J. WatersDavid S. GuttmanAmerican Society for MicrobiologyarticlePseudomonas aeruginosaanaerobic bacteriacystic fibrosisecological successionmicrobial ecologymicrobiomeMicrobiologyQR1-502ENmSystems, Vol 5, Iss 6 (2020)
institution DOAJ
collection DOAJ
language EN
topic Pseudomonas aeruginosa
anaerobic bacteria
cystic fibrosis
ecological succession
microbial ecology
microbiome
Microbiology
QR1-502
spellingShingle Pseudomonas aeruginosa
anaerobic bacteria
cystic fibrosis
ecological succession
microbial ecology
microbiome
Microbiology
QR1-502
Rutvij A. Khanolkar
Shawn T. Clark
Pauline W. Wang
David M. Hwang
Yvonne C. W. Yau
Valerie J. Waters
David S. Guttman
Ecological Succession of Polymicrobial Communities in the Cystic Fibrosis Airways
description ABSTRACT Antimicrobial therapies against cystic fibrosis (CF) lung infections are largely aimed at the traditional, well-studied CF pathogens such as Pseudomonas aeruginosa and Burkholderia cepacia complex, despite the fact that the CF lung harbors a complex and dynamic polymicrobial community. A clinical focus on the dominant pathogens ignores potentially important community-level interactions in disease pathology, perhaps explaining why these treatments are often less effective than predicted based on in vitro testing. A better understanding of the ecological dynamics of this ecosystem may enable clinicians to harness these interactions and thereby improve treatment outcomes. Like all ecosystems, the CF lung microbial community develops through a series of stages, each of which may present with distinct microbial communities that generate unique host-microbe and microbe-microbe interactions, metabolic profiles, and clinical phenotypes. While insightful models have been developed to explain some of these stages and interactions, there is no unifying model to describe how these infections develop and persist. Here, we review current perspectives on the ecology of the CF airway and present the CF Ecological Succession (CFES) model that aims to capture the spatial and temporal complexity of CF lung infection, address current challenges in disease management, and inform the development of ecologically driven therapeutic strategies.
format article
author Rutvij A. Khanolkar
Shawn T. Clark
Pauline W. Wang
David M. Hwang
Yvonne C. W. Yau
Valerie J. Waters
David S. Guttman
author_facet Rutvij A. Khanolkar
Shawn T. Clark
Pauline W. Wang
David M. Hwang
Yvonne C. W. Yau
Valerie J. Waters
David S. Guttman
author_sort Rutvij A. Khanolkar
title Ecological Succession of Polymicrobial Communities in the Cystic Fibrosis Airways
title_short Ecological Succession of Polymicrobial Communities in the Cystic Fibrosis Airways
title_full Ecological Succession of Polymicrobial Communities in the Cystic Fibrosis Airways
title_fullStr Ecological Succession of Polymicrobial Communities in the Cystic Fibrosis Airways
title_full_unstemmed Ecological Succession of Polymicrobial Communities in the Cystic Fibrosis Airways
title_sort ecological succession of polymicrobial communities in the cystic fibrosis airways
publisher American Society for Microbiology
publishDate 2020
url https://doaj.org/article/b3b479ac877c4814a5030151659b0b4d
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