ABSTRACT
OBJECTIVES: Certain gut bacterial families, including Bacteroidaceae, Porphyromonadaceae and Prevotellaceae, are increased in people suffering from spondyloarthropathy (SpA), a disease group associated with IL23R signalling variants. To understand the relationship between host interleukin (IL)-23 signalling and gut bacterial dysbiosis in SpA, we inhibited IL-23 in dysbiotic ZAP-70-mutant SKG mice that develop IL-23-dependent SpA-like arthritis, psoriasis-like skin inflammation and Crohn's-like ileitis in response to microbial beta 1,3-glucan (curdlan). METHODS: We treated SKG mice weekly with anti-IL-23 or isotype mAb for 3 weeks, rested them for 3 weeks, then administered curdlan or saline. We collected faecal samples longitudinally, assessed arthritis, spondylitis, psoriasis and ileitis histologically, and analysed the microbiota community profiles using next-generation sequencing. We used multivariate sparse partial least squares discriminant analysis to identify operational taxonomic unit (OTU) signatures best classifying treatment groups and linear regression to develop a predictive model of disease severity. RESULTS: IL-23p19 inhibition in naïve SKG mice decreased Bacteroidaceae, Porphyromonadaceae and Prevotellaceae. Abundance of Clostridiaceae and Lachnospiraceae families concomitantly increased, and curdlan-mediated SpA development decreased. Abundance of Enterobacteriaceae and Porphyromonadaceae family and reduction in Lachnospiraceae Dorea genus OTUs early in disease course were associated with disease severity in affected tissues. CONCLUSIONS: Dysbiosis in SKG mice reflects human SpA and is IL-23p19 dependent. In genetically susceptible hosts, IL-23p19 favours outgrowth of SpA-associated pathobionts and reduces support for homeostatic-inducing microbiota. The relative abundance of specific pathobionts is associated with disease severity.
Subject(s)
Bacteria/growth & development , Dysbiosis/microbiology , Gastrointestinal Microbiome/immunology , Interleukin-23 Subunit p19/immunology , Spondylarthritis/microbiology , Animals , Dysbiosis/immunology , Feces/microbiology , Female , Homeostasis/immunology , Host-Pathogen Interactions/immunology , Interleukin-23 Subunit p19/antagonists & inhibitors , Mice, Mutant Strains , Severity of Illness Index , Spondylarthritis/chemically induced , Spondylarthritis/immunology , beta-GlucansABSTRACT
Asthma is a chronic inflammatory disorder of the airways where bacteria may act as protagonists of chronic inflammation. Little is known about the relation of airway inflammation to the presence of specific bacterial taxa. We sought to describe the sputum microbiome in adults with poorly controlled asthma.DNA was extracted from induced sputum and microbial communities were profiled using 16S rRNA pyrosequencing. Bacterial species were characterised, and the relationship between microbial populations, asthma inflammatory subtypes and other covariates was explored. Real-time PCR was used to identify Tropheryma whipplei and Haemophilus influenzae in sputum.Adults with neutrophilic asthma had reduced bacterial diversity and species richness. Tropheryma was identified and confirmed with real-time PCR in 12 (40%) participants. Haemophilus occurred most often in a group of younger atopic males with an increased proportion of neutrophils. PCR confirmed the presence of H. influenzae in 35 (76%) participants with poorly controlled asthma.There are phenotype-specific alterations to the airway microbiome in asthma. Reduced bacterial diversity combined with a high prevalence of H. influenzae was observed in neutrophilic asthma, whereas eosinophilic asthma had abundant T. whipplei.
Subject(s)
Asthma/microbiology , Dysbiosis , Haemophilus influenzae/isolation & purification , Pulmonary Eosinophilia/microbiology , Sputum/microbiology , Tropheryma/isolation & purification , Adult , Aged , Female , Humans , Inflammation , Linear Models , Male , Microbiota , Middle Aged , Neutrophils/metabolism , RNA, Ribosomal, 16S/genetics , Respiratory System/microbiologyABSTRACT
RATIONALE: Bronchiolitis obliterans syndrome (BOS) is the primary limiting factor for long-term survival after lung transplantation, and has previously been associated with microbial infections. OBJECTIVES: To cross-sectionally and longitudinally characterize microbial communities in allografts from transplant recipients with and without BOS using a culture-independent method based on high-throughput sequencing. METHODS: Allografts were sampled by bronchoalveolar lavage, and microbial communities were profiled using 16S rRNA gene amplicon pyrosequencing. Community profiles were compared using the weighted Unifrac metric and the relationship between microbial populations, BOS, and other covariates was explored using PERMANOVA and logistic regression. MEASUREMENTS AND MAIN RESULTS: Microbial communities in transplant patients fell into two main groups: those dominated by Pseudomonas or those dominated by Streptococcus and Veillonella, which seem to be mutually exclusive lung microbiomes. Aspergillus culture was also negatively correlated with the Pseudomonas-dominated group. The reestablishment of dominant populations present in patients pretransplant, notably Pseudomonas in individuals with cystic fibrosis, was negatively correlated with BOS. CONCLUSIONS: Recolonization of the allograft by Pseudomonas in individuals with cystic fibrosis is not associated with BOS. In general, reestablishment of pretransplant lung populations in the allograft seems to have a protective effect against BOS, whereas de novo acquisition of microbial populations often belonging to the same genera may increase the risk of BOS.
Subject(s)
Bronchiolitis Obliterans/epidemiology , Bronchiolitis Obliterans/microbiology , Lung Transplantation/adverse effects , Lung/microbiology , Adult , Aspergillus fumigatus/isolation & purification , Bronchiolitis Obliterans/prevention & control , Bronchoalveolar Lavage Fluid/microbiology , Cystic Fibrosis/microbiology , DNA, Bacterial/analysis , Female , Humans , Male , Metagenome , Middle Aged , Principal Component Analysis , Pseudomonas/isolation & purification , Risk Assessment , Risk Factors , Streptococcus/isolation & purification , Syndrome , Transplantation, Homologous , Veillonella/isolation & purificationABSTRACT
Viral discovery is accelerating at an unprecedented rate due to continuing advances in culture-independent sequence-based analyses. One important facet of this discovery is identification of the hosts of these recently characterized uncultured viruses. To this end, we have adapted the viral tagging approach, which bypasses the need for culture-based methods to identify host-phage pairings. Fluorescently labelled anonymous virions adsorb to unlabelled anonymous bacterial host cells, which are then individually sorted as host-phage pairs, followed by genome amplification and high-throughput sequencing to establish the identities of both the host and the attached virus(es). We demonstrate single-cell viral tagging using the faecal microbiome, including cross-tagging of viruses and bacteria between human subjects. A total of 363 unique host-phage pairings were predicted, most of which were subject-specific and involved previously uncharacterized viruses despite the majority of their bacterial hosts having known taxonomy. One-fifth of these pairs were confirmed by multiple individual tagged cells. Viruses targeting more than one bacterial species were conspicuously absent in the host-phage network, suggesting that phages are not major vectors of inter-species horizontal gene transfer in the human gut. A high level of cross-reactivity between phages and bacteria from different subjects was noted despite subject-specific viral profiles, which has implications for faecal microbiota transplant therapy.
Subject(s)
Bacteriophages/physiology , Gastrointestinal Microbiome/physiology , Host Microbial Interactions/physiology , Microbial Interactions/physiology , Bacteria/genetics , Bacteria/virology , Bacteriophages/genetics , Bacteriophages/isolation & purification , Feces/microbiology , Gastrointestinal Microbiome/genetics , Gene Transfer, Horizontal , Genome, Viral , High-Throughput Nucleotide Sequencing , Host Microbial Interactions/genetics , Humans , Metagenome , Microbial Interactions/genetics , Sequence Analysis, DNA , Species Specificity , Viruses/geneticsABSTRACT
BACKGROUND: Our view of host-associated microbiota remains incomplete due to the presence of as yet uncultured constituents. The Bacteroidales family S24-7 is a prominent example of one of these groups. Marker gene surveys indicate that members of this family are highly localized to the gastrointestinal tracts of homeothermic animals and are increasingly being recognized as a numerically predominant member of the gut microbiota; however, little is known about the nature of their interactions with the host. RESULTS: Here, we provide the first whole genome exploration of this family, for which we propose the name "Candidatus Homeothermaceae," using 30 population genomes extracted from fecal samples of four different animal hosts: human, mouse, koala, and guinea pig. We infer the core metabolism of "Ca. Homeothermaceae" to be that of fermentative or nanaerobic bacteria, resembling that of related Bacteroidales families. In addition, we describe three trophic guilds within the family, plant glycan (hemicellulose and pectin), host glycan, and α-glucan, each broadly defined by increased abundance of enzymes involved in the degradation of particular carbohydrates. CONCLUSIONS: "Ca. Homeothermaceae" representatives constitute a substantial component of the murine gut microbiota, as well as being present within the human gut, and this study provides important first insights into the nature of their residency. The presence of trophic guilds within the family indicates the potential for niche partitioning and specific roles for each guild in gut health and dysbiosis.
Subject(s)
Bacteroidetes/physiology , Feces/microbiology , Metagenomics/methods , Animals , Bacteroidetes/genetics , Bacteroidetes/isolation & purification , Gastrointestinal Tract/microbiology , Genome, Bacterial , Guinea Pigs , Host-Pathogen Interactions , Humans , Mice , Microbiota , Phascolarctidae/microbiology , Phylogeny , Polysaccharides/metabolismABSTRACT
Clinical microbiology testing is crucial for the diagnosis and treatment of community and hospital-acquired infections. Laboratory scientists need to utilize technical and problem-solving skills to select from a wide array of microbial identification techniques. The inquiry-driven laboratory training required to prepare microbiology graduates for this professional environment can be difficult to replicate within undergraduate curricula, especially in courses that accommodate large student cohorts. We aimed to improve undergraduate scientific training by engaging hundreds of introductory microbiology students in an Authentic Large-Scale Undergraduate Research Experience (ALURE). The ALURE aimed to characterize the microorganisms that reside in the healthy human oral cavity-the oral microbiome-by analyzing hundreds of samples obtained from student volunteers within the course. Students were able to choose from selective and differential culture media, Gram-staining, microscopy, as well as polymerase chain reaction (PCR) and 16S rRNA gene sequencing techniques, in order to collect, analyze, and interpret novel data to determine the collective oral microbiome of the student cohort. Pre- and postsurvey analysis of student learning gains across two iterations of the course (2012-2013) revealed significantly higher student confidence in laboratory skills following the completion of the ALURE (p < 0.05 using the Mann-Whitney U-test). Learning objectives on effective scientific communication were also met through effective student performance in laboratory reports describing the research outcomes of the project. The integration of undergraduate research in clinical microbiology has the capacity to deliver authentic research experiences and improve scientific training for large cohorts of undergraduate students.
ABSTRACT
Barcoded amplicon sequencing is rapidly becoming a standard method for profiling microbial communities, including the human respiratory microbiome. While this approach has less bias than standard cultivation, several steps can introduce variation including the type of DNA extraction method used. Here we assessed five different extraction methods on pediatric bronchoalveolar lavage (BAL) samples and a mock community comprised of nine bacterial genera to determine method reproducibility and detection limits for these typically low complexity communities. Additionally, using the mock community, we were able to evaluate contamination and select a relative abundance cut-off threshold based on the geometric distribution that optimizes the trade off between detecting bona fide operational taxonomic units and filtering out spurious ones. Using this threshold, the majority of genera in the mock community were predictably detected by all extraction methods including the hard-to-lyse Gram-positive genus Staphylococcus. Differences between extraction methods were significantly greater than between technical replicates for both the mock community and BAL samples emphasizing the importance of using a standardized methodology for microbiome studies. However, regardless of method used, individual patients retained unique diagnostic profiles. Furthermore, despite being stored as raw frozen samples for over five years, community profiles from BAL samples were consistent with historical culturing results. The culture-independent profiling of these samples also identified a number of anaerobic genera that are gaining acceptance as being part of the respiratory microbiome. This study should help guide researchers to formulate sampling, extraction and analysis strategies for respiratory and other human microbiome samples.