Sputum Bacterial and Fungal Dynamics during Exacerbations of Severe COPD
Author(s) -
Jin Su,
Haiyue Liu,
Xi-lan Tan,
Yong Ji,
Yunxia Jiang,
Muhil Raj Prabhakar,
Zuhua Rong,
Hongwei Zhou,
Guoxia Zhang
Publication year - 2015
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0130736
Subject(s) - sputum , microbiology and biotechnology , biology , veillonella , actinomyces , ribosomal rna , medicine , streptococcus , pathology , bacteria , genetics , tuberculosis , gene
The changes in the microbial community structure during acute exacerbations of severe chronic obstructive pulmonary disease (COPD) in hospitalized patients remain largely uncharacterized. Therefore, further studies focused on the temporal dynamics and structure of sputum microbial communities during acute exacerbation of COPD (AECOPD) would still be necessary. In our study, the use of molecular microbiological techniques provided insight into both fungal and bacterial diversities in AECOPD patients during hospitalization. In particular, we examined the structure and varieties of lung microbial community in 6 patients with severe AECOPD by amplifying 16S rRNA V4 hyper-variable and internal transcribed spacer (ITS) DNA regions using barcoded primers and the Illumina sequencing platform. Sequence analysis showed 261 bacterial genera representing 20 distinct phyla, with an average number of genera per patient of >157, indicating high diversity. Acinetobacter , Prevotella , Neisseria , Rothia , Lactobacillus , Leptotrichia , Streptococcus , Veillonella , and Actinomyces were the most commonly identified genera, and the average total sequencing number per sputum sample was >10000 18S ITS sequences. The fungal population was typically dominated by Candia , Phialosimplex , Aspergillus , Penicillium , Cladosporium and Eutypella . Our findings highlight that COPD patients have personalized structures and varieties in sputum microbial community during hospitalization periods.
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