About: Variability and Diversity of Nasopharyngeal Microbiota in Children: A Metagenomic Analysis

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Variability and Diversity of Nasopharyngeal Microbiota in Children: A Metagenomic Analysis
Creator	Rossen, J Bogaert, D Huse, S Keijser, B Veenhoven, R
topic	covid:bafbd40e253b24fc6b10b66bf68fe838e0a6a313#this
Source	Medline; PMC
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 1000000 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.
has issue date	2011-02-28(xsd:dateTime)
bibo:doi	10.1371/journal.pone.0017035
bibo:pmid	21386965
has license	cc-by
sha1sum (hex)	bafbd40e253b24fc6b10b66bf68fe838e0a6a313
schema:url	https://doi.org/10.1371/journal.pone.0017035
resource representing a document's title	Variability and Diversity of Nasopharyngeal Microbiota in Children: A Metagenomic Analysis
has PubMed Central identifier	PMC3046172
has PubMed identifier	21386965
schema:publication	PLoS One
resource representing a document's body	covid:bafbd40e253b24fc6b10b66bf68fe838e0a6a313#body_text
is http://vocab.deri.ie/void#inDataset of	https://covidontheweb.inria.fr:4443/about/id/http/ns.inria.fr/covid19/bafbd40e253b24fc6b10b66bf68fe838e0a6a313
is schema:about of	named entity 'winter' named entity 'Bacteroidetes' named entity 'OTU' named entity 'seasonal' covid:arg/bafbd40e253b24fc6b10b66bf68fe838e0a6a313 named entity 'core' named entity 'microbiome' named entity 'predominant' named entity 'winter' named entity 'nasopharyngeal' named entity 'fall' named entity 'season' named entity 'microbiota' named entity 'antibiotics' named entity 'seasons' named entity 'independent' named entity 'microbiota' named entity 'Neisseria' named entity 'antibiotics' named entity 'Bacteroidetes' named entity 'barcoded' named entity 'taxonomic phyla' named entity 'co-infection' named entity 'Streptococcus pneumoniae' named entity 'Corynebacterium' named entity 'microbiota' named entity 'pathogens' named entity 'Moraxella' named entity 'phyla' named entity 'infection' named entity 'OTU' named entity '21%' named entity 'hypervariable region' named entity 'Bacteroidetes' named entity 'commensal bacteria' named entity 'Bacteroidetes' named entity 'microbiome' named entity 'Dolosigranulum' named entity 'nasopharynx' named entity 'Lactobacillus' named entity 'Fusobacteria' named entity 'spring' named entity 'OTU' named entity 'OTU' named entity 'vitamine' named entity 'nutrient' named entity 'M. catarrhalis' named entity 'Eubacterial' named entity 'Proteobacteria' named entity 'viruses' named entity 'influenzavirus' named entity 'Cyanobacteria' named entity 'OTUs' named entity 'microbiota' named entity 'phyla' named entity 'OTU' named entity 'quantitative PCR' named entity 'M. catarrhalis' named entity 'mucosal' named entity 'blood agar plate' named entity 'Spearman correlation' named entity 'OTU' named entity 'SPSS' named entity 'Dolosigranulum' named entity 'Basel' named entity 'OTU' named entity 'Streptococcus' named entity 'microbiota' named entity 'pathogenic bacteria' named entity 'Moraxella' named entity 'phyla' named entity 'H. influenzae' named entity 'sequenced' named entity 'S. pneumoniae' named entity 'viruses'

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