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Bacterial community collapse: a meta-analysis of the sinonasal microbiota in chronic rhinosinusitis.

Authors :
Wagner Mackenzie, Brett
Waite, David W.
Hoggard, Michael
Douglas, Richard G.
Taylor, Michael W.
Biswas, Kristi
Source :
Environmental Microbiology. Jan2017, Vol. 19 Issue 1, p381-392. 12p.
Publication Year :
2017

Abstract

Chronic rhinosinusitis (CRS) is a common, debilitating condition characterized by long-term inflammation of the nasal cavity and paranasal sinuses. The role of the sinonasal bacteria in CRS is unclear. We conducted a meta-analysis combining and reanalysing published bacterial 16S rRNA sequence data to explore differences in sinonasal bacterial community composition and predicted function between healthy and CRS affected subjects. The results identify the most abundant bacteria across all subjects as Staphylococcus, Propionibacterium, Corynebacterium, Streptococcus and an unclassified lineage of Actinobacteria. The meta-analysis results suggest that the bacterial community associated with CRS patients is dysbiotic and ecological networks fostering healthy communities are fragmented. Increased dispersion of bacterial communities, significantly lower bacterial diversity, and increased abundance of members of the genus Corynebacterium are associated with CRS. Increased relative abundance and diversity of other members belonging to the phylum Actinobacteria and members from the genera Propionibacterium differentiated healthy sinuses from those that were chronically inflamed. Removal of Burkholderia and Propionibacterium phylotypes from the healthy community dataset was correlated with a significant increase in network fragmentation. This meta-analysis highlights the potential importance of the genera Burkholderia and Propionibacterium as gatekeepers, whose presence may be important in maintaining a stable sinonasal bacterial community. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14622912
Volume :
19
Issue :
1
Database :
Academic Search Index
Journal :
Environmental Microbiology
Publication Type :
Academic Journal
Accession number :
120928579
Full Text :
https://doi.org/10.1111/1462-2920.13632