Dataset Information

Variability and diversity of nasopharyngeal microbiota in children: a metagenomic analysis.

ABSTRACT: The nasopharynx is the ecological niche for many commensal bacteria and for potential respiratory or invasive pathogens like Streptococcus pneumoniae, Haemophilus influenzae, and Neisseria meningitidis. Disturbance of a balanced nasopharyngeal (NP) microbiome might be involved in the onset of symptomatic infections with these pathogens, which occurs primarily in fall and winter. It is unknown whether seasonal infection patterns are associated with concomitant changes in NP microbiota. As young children are generally prone to respiratory and invasive infections, we characterized the NP microbiota of 96 healthy children by barcoded pyrosequencing of the V5-V6 hypervariable region of the 16S-rRNA gene, and compared microbiota composition between children sampled in winter/fall with children sampled in spring. The approximately 1,000,000 sequences generated represented 13 taxonomic phyla and approximately 250 species-level phyla types (OTUs). The 5 most predominant phyla were Proteobacteria (64%), Firmicutes (21%), Bacteroidetes (11%), Actinobacteria (3%) and Fusobacteria (1,4%) with Moraxella, Haemophilus, Streptococcus, Flavobacteria, Dolosigranulum, Corynebacterium and Neisseria as predominant genera. The inter-individual variability was that high that on OTU level a core microbiome could not be defined. Microbiota profiles varied strongly with season, with in fall/winter a predominance of Proteobacteria (relative abundance (% of all sequences): 75% versus 51% in spring) and Fusobacteria (absolute abundance (% of children): 14% versus 2% in spring), and in spring a predominance of Bacteroidetes (relative abundance: 19% versus 3% in fall/winter, absolute abundance: 91% versus 54% in fall/winter), and Firmicutes. The latter increase is mainly due to (Brevi)bacillus and Lactobacillus species (absolute abundance: 96% versus 10% in fall/winter) which are like Bacteroidetes species generally related to healthy ecosystems. The observed seasonal effects could not be attributed to recent antibiotics or viral co-infection.The NP microbiota of young children is highly diverse and appears different between seasons. These differences seem independent of antibiotic use or viral co-infection.

SUBMITTER: Bogaert D

PROVIDER: S-EPMC3046172 | biostudies-literature | 2011 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Variability and diversity of nasopharyngeal microbiota in children: a metagenomic analysis.

Bogaert Debby D Keijser Bart B Huse Susan S Rossen John J Veenhoven Reinier R van Gils Elske E Bruin Jacob J Montijn Roy R Bonten Marc M Sanders Elisabeth E

PloS one 20110228 2

The nasopharynx is the ecological niche for many commensal bacteria and for potential respiratory or invasive pathogens like Streptococcus pneumoniae, Haemophilus influenzae, and Neisseria meningitidis. Disturbance of a balanced nasopharyngeal (NP) microbiome might be involved in the onset of symptomatic infections with these pathogens, which occurs primarily in fall and winter. It is unknown whether seasonal infection patterns are associated with concomitant changes in NP microbiota. As young c ...[more]

PMID: 21386965

Similar Datasets

Project description:BackgroundThe nasopharynx is a reservoir for pathogens associated with respiratory illnesses such as asthma. Next-generation sequencing (NGS) has been used to characterize the nasopharyngeal microbiome of infants and adults during health and disease; less is known, however, about the composition and temporal dynamics (i.e., longitudinal variation) of microbiotas from children and adolescents. Here we use NGS technology to characterize the nasopharyngeal microbiomes of asthmatic children and adolescents (6 to 18 years) and determine their stability over time.MethodsTwo nasopharyngeal washes collected 5.5 to 6.5 months apart were taken from 40 children and adolescents with asthma living in the Washington D.C. area. Sequence data from the 16S-V4 rRNA gene region (~250 bp) were collected from the samples using the MiSeq platform. Raw data were processed in mothur (SILVA123 reference database) and Operational Taxonomic Units (OTU)-based alpha- and beta-diversity metrics were estimated. Relatedness among samples was assessed using PCoA ordination and Procrustes analyses. Differences in microbial diversity and taxon mean relative proportions were assessed using linear mixed effects models. Core microbiome analyses were also performed to identify stable and consistent microbes of the nasopharynx.Results and discussionA total of 2,096,584 clean 16S sequences corresponding to an average of 167 OTUs per sample were generated. Representatives of Moraxella*, Staphylococcus*, Dolosigranulum, Corynebacterium, Prevotella, Streptococcus*, Haemophilus*, Fusobacterium* and a Neisseriaceae genus accounted for 86% of the total reads. These nine genera have been previously found in the nasopharynxes of both infants and adults, but in different proportions. OTUs from the five genera highlighted (*) above defined the nasopharyngeal core microbiome at the 95% level. No significant differences in alpha- and beta-diversity were observed between seasons, but bacterial mean relative proportions of Haemophilus, Moraxella, Staphylococcus and Corynebacterium varied significantly between summer-fall and age groups (inter-patient variation). Additionally, OTUs varied significantly within patients between time points in 35 of the 40 patients analyzed. Future cross-sectional studies should be mindful of the temporal dynamics of the nasopharyngeal microbiota.

Project description:Acute respiratory infections (ARIs) constitute one of the leading causes of antibiotic administration, hospitalization and death among children <5 years old. The upper respiratory tract microbiota has been suggested to explain differential susceptibility to ARIs and modulate ARI severity. The aim of the present study was to investigate the relation of nasopharyngeal microbiota and other microbiological parameters with respiratory health and disease, and to assess nasopharyngeal microbiota diagnostic utility for discriminating between different respiratory health statuses. We conducted a prospective case-control study at Hospital Sant Joan de Deu (Barcelona, Spain) from 2014 to 2018. This study included three groups of children <18 years with gradual decrease of ARI severity: cases with invasive pneumococcal disease (IPD) (representative of lower respiratory tract infections and systemic infections), symptomatic controls with mild viral upper respiratory tract infections (URTI), and healthy/asymptomatic controls according to an approximate case-control ratio 1:2. Nasopharyngeal samples were collected from participants for detection, quantification and serotyping of pneumococcal DNA, viral DNA/RNA detection and 16S rRNA gene sequencing. Microbiological parameters were included on case-control classification models. A total of 140 subjects were recruited (IPD=27, URTI=48, healthy/asymptomatic control=65). Children's nasopharyngeal microbiota composition varied according to respiratory health status and infection severity. The IPD group was characterized by overrepresentation of Streptococcus pneumoniae, higher frequency of invasive pneumococcal serotypes, increased rate of viral infection and underrepresentation of potential protective bacterial species such as Dolosigranulum pigrum and Moraxella lincolnii. Microbiota-based classification models differentiated cases from controls with moderately high accuracy. These results demonstrate the close relationship existing between a child's nasopharyngeal microbiota and respiratory health, and provide initial evidence of the potential of microbiota-based diagnostics for differential diagnosis of severe ARIs using non-invasive samples.

Project description:There are trillions of microbes found throughout the human body and they exceed the number of eukaryotic cells by 10-fold. Metagenomic studies have revealed that the majority of these microbes are found within the gut, playing an important role in the host's digestion and nutrition. The complexity of the animal digestive tract, unculturable microbes, and the lack of genetic tools for most culturable microbes make it challenging to explore the nature of these microbial interactions within this niche. The medicinal leech, Hirudo verbana, has been shown to be a useful tool in overcoming these challenges, due to the simplicity of the microbiome and the availability of genetic tools for one of the two dominant gut symbionts, Aeromonas veronii. In this study, we utilize 16S rRNA gene pyrosequencing to further explore the microbial composition of the leech digestive tract, confirming the dominance of two taxa, the Rikenella-like bacterium and A. veronii. The deep sequencing approach revealed the presence of additional members of the microbial community that suggests the presence of a moderately complex microbial community with a richness of 36 taxa. The presence of a Proteus strain as a newly identified resident in the leech crop was confirmed using fluorescence in situ hybridization (FISH). The metagenome of this community was also pyrosequenced and the contigs were binned into the following taxonomic groups: Rikenella-like (3.1 MB), Aeromonas (4.5 MB), Proteus (2.9 MB), Clostridium (1.8 MB), Eryspelothrix (0.96 MB), Desulfovibrio (0.14 MB), and Fusobacterium (0.27 MB). Functional analyses on the leech gut symbionts were explored using the metagenomic data and MG-RAST. A comparison of the COG and KEGG categories of the leech gut metagenome to that of other animal digestive-tract microbiomes revealed that the leech digestive tract had a similar metabolic potential to the human digestive tract, supporting the usefulness of this system as a model for studying digestive-tract microbiomes. This study lays the foundation for more detailed metatranscriptomic studies and the investigation of symbiont population dynamics.

Dataset Information

Variability and diversity of nasopharyngeal microbiota in children: a metagenomic analysis.

Publications

Variability and diversity of nasopharyngeal microbiota in children: a metagenomic analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets