Mapping bacterial diversity and metabolic functionality of the human respiratory tract microbiome.
Human respiratory tract
microbiome
oral microbiota
pulmonary
shotgun metagenomics
sputum
Journal
Journal of oral microbiology
ISSN: 2000-2297
Titre abrégé: J Oral Microbiol
Pays: United States
ID NLM: 101551049
Informations de publication
Date de publication:
2022
2022
Historique:
entrez:
21
3
2022
pubmed:
22
3
2022
medline:
22
3
2022
Statut:
epublish
Résumé
The Human Respiratory Tract (HRT) is colonized by various microbial taxa, known as HRT microbiota, in a manner that is indicative of mutualistic interaction between such microorganisms and their host. To investigate the microbial composition of the HRT and its possible correlation with the different compartments of the respiratory tract. In the current study, we performed an in-depth meta-analysis of 849 HRT samples from public shotgun metagenomic datasets obtained through several distinct collection methods. The statistical robustness provided by this meta-analysis allowed the identification of 13 possible HRT-specific Community State Types (CSTs), which appear to be specific to each anatomical region of the respiratory tract. Furthermore, functional characterization of the metagenomic datasets revealed specific microbial metabolic features correlating with the different compartments of the respiratory tract. The meta-analysis here performed suggested that the variable presence of certain bacterial species seems to be linked to a location-related abundance gradient in the HRT and seems to be characterized by a specific microbial metabolic capability.
Sections du résumé
Background
UNASSIGNED
The Human Respiratory Tract (HRT) is colonized by various microbial taxa, known as HRT microbiota, in a manner that is indicative of mutualistic interaction between such microorganisms and their host.
Aim
UNASSIGNED
To investigate the microbial composition of the HRT and its possible correlation with the different compartments of the respiratory tract.
Methods
UNASSIGNED
In the current study, we performed an in-depth meta-analysis of 849 HRT samples from public shotgun metagenomic datasets obtained through several distinct collection methods.
Results
UNASSIGNED
The statistical robustness provided by this meta-analysis allowed the identification of 13 possible HRT-specific Community State Types (CSTs), which appear to be specific to each anatomical region of the respiratory tract. Furthermore, functional characterization of the metagenomic datasets revealed specific microbial metabolic features correlating with the different compartments of the respiratory tract.
Conclusion
UNASSIGNED
The meta-analysis here performed suggested that the variable presence of certain bacterial species seems to be linked to a location-related abundance gradient in the HRT and seems to be characterized by a specific microbial metabolic capability.
Identifiants
pubmed: 35309410
doi: 10.1080/20002297.2022.2051336
pii: 2051336
pmc: PMC8933033
doi:
Types de publication
Journal Article
Langues
eng
Pagination
2051336Informations de copyright
© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Déclaration de conflit d'intérêts
No potential conflict of interest was reported by the author(s).
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