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Asthma-associated differences in microbial composition of induced sputum.

TLDR
In this paper, the authors characterize and compare the microbiome of induced sputum in asthmatic and non-asthmatic adults, using the 454 GS FLX sequencer.
Abstract
Background It is increasingly evident that microbial colonization of the respiratory tract might have a role in the pathogenesis of asthma. Objective We sought to characterize and compare the microbiome of induced sputum in asthmatic and nonasthmatic adults. Methods Induced sputum samples were obtained from 10 nonasthmatic subjects and 10 patients with mild active asthma (8/10 were not using inhaled corticosteroids). Total DNA was extracted from sputum supernatants and amplified by using primers specific for the V6 hypervariable region of bacterial 16s rRNA. Samples were barcoded, and equimolar concentrations of 20 samples were pooled and sequenced with the 454 GS FLX sequencer. Sequences were assigned to bacterial taxa by comparing them with 16s rRNA sequences in the Ribosomal Database Project. Results All sputum samples contained 5 major bacterial phyla: Firmicutes, Proteobacteria, Actinobacteria, Fusobacterium, and Bacteroidetes, with the first 3 phyla accounting for more than 90% of the total sequences. Proteobacteria were present in higher proportions in asthmatic patients (37% vs 15%, P P  = .17) and Actinobacteria (10% vs 14%, P  = .36) were found more frequently in samples from nonasthmatic subjects, although this was not statistically significant. Hierarchical clustering produced 2 significant clusters: one contained primarily asthmatic samples and the second contained primarily nonasthmatic samples. In addition, samples from asthmatic patients had greater bacterial diversity compared with samples from nonasthmatic subjects. Conclusion Patients with mild asthma have an altered microbial composition in the respiratory tract that is similar to that observed in patients with more severe asthma.

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The role of the microbiome in exacerbations of chronic lung diseases

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References
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Journal ArticleDOI

Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy

TL;DR: The RDP Classifier can rapidly and accurately classify bacterial 16S rRNA sequences into the new higher-order taxonomy proposed in Bergey's Taxonomic Outline of the Prokaryotes, and the majority of the classification errors appear to be due to anomalies in the current taxonomies.
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A core gut microbiome in obese and lean twins

TL;DR: The faecal microbial communities of adult female monozygotic and dizygotic twin pairs concordant for leanness or obesity, and their mothers are characterized to address how host genotype, environmental exposure and host adiposity influence the gut microbiome.
Journal ArticleDOI

The Ribosomal Database Project: improved alignments and new tools for rRNA analysis

TL;DR: An improved alignment strategy uses the Infernal secondary structure aware aligner to provide a more consistent higher quality alignment and faster processing of user sequences, and a new Pyrosequencing Pipeline that provides tools to support analysis of ultra high-throughput rRNA sequencing data.
Journal ArticleDOI

Metagenomic Analysis of the Human Distal Gut Microbiome

TL;DR: Using metabolic function analyses of identified genes, the human genome is compared with the average content of previously sequenced microbial genomes and humans are superorganisms whose metabolism represents an amalgamation of microbial and human attributes.
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