Bacterial communities in commercial aircraft high-efficiency particulate air (HEPA) filters assessed by PhyloChip analysis.

Indoor Air
T M KorvesG M Hwang

Abstract

Air travel can rapidly transport infectious diseases globally. To facilitate the design of biosensors for infectious organisms in commercial aircraft, we characterized bacterial diversity in aircraft air. Samples from 61 aircraft high-efficiency particulate air (HEPA) filters were analyzed with a custom microarray of 16S rRNA gene sequences (PhyloChip), representing bacterial lineages. A total of 606 subfamilies from 41 phyla were detected. The most abundant bacterial subfamilies included bacteria associated with humans, especially skin, gastrointestinal and respiratory tracts, and with water and soil habitats. Operational taxonomic units that contain important human pathogens as well as their close, more benign relatives were detected. When compared to 43 samples of urban outdoor air, aircraft samples differed in composition, with higher relative abundance of Firmicutes and Gammaproteobacteria lineages in aircraft samples, and higher relative abundance of Actinobacteria and Betaproteobacteria lineages in outdoor air samples. In addition, aircraft and outdoor air samples differed in the incidence of taxa containing human pathogens. Overall, these results demonstrate that HEPA filter samples can be used to deeply characterize ba...Continue Reading

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Citations

Mar 22, 2013·Genome Biology·Scott T Kelley, Jack A Gilbert
Nov 22, 2013·BioMed Research International·Sofia Nikolaki, George Tsiamis
Oct 9, 2013·Scandinavian Journal of Infectious Diseases·Ioanna G AlexandropoulouTheodoros C Constantinidis
May 29, 2013·Indoor Air·C GaüzèreE Robine
Apr 22, 2014·The Science of the Total Environment·Carole GaüzèreMarina Moletta-Denat
Jun 27, 2014·Medical Mycology·Guillaume DesoubeauxLouis Bernard
Mar 1, 2018·Physiological Reviews·A P HakanssonD Bogaert
Nov 6, 2021·Frontiers in Microbiology·Cristina González-MartínJuan P Díaz
Nov 27, 2021·Advanced Science·Wei DengSteven Wang

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Methods Mentioned

BETA
biosensor
biosensors
PCR
chip
chips

Software Mentioned

PhyloChips
PhyCA
PhyloChip
Excel
ANOSIM
G2 PhyloChip
SIMPER
R
Primer

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