Cargando…
An Overview of Adenoid Microbiome Using 16S rRNA Gene Sequencing-Based Metagenomic Analysis
Background and Objectives: the upper respiratory tract harbors the highest bacterial density in the whole respiratory system. Adenoids, which are located in the nasopharynx, are a major site of bacterial colonies in the upper airways. Our goal was to use culture-independent molecular techniques to i...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9318310/ https://www.ncbi.nlm.nih.gov/pubmed/35888639 http://dx.doi.org/10.3390/medicina58070920 |
_version_ | 1784755259746287616 |
---|---|
author | Sokolovs-Karijs, Oļegs Brīvība, Monta Saksis, Rihards Sumeraga, Gunta Girotto, Francesca Erts, Renārs Osīte, Jana Krūmiņa, Angelika |
author_facet | Sokolovs-Karijs, Oļegs Brīvība, Monta Saksis, Rihards Sumeraga, Gunta Girotto, Francesca Erts, Renārs Osīte, Jana Krūmiņa, Angelika |
author_sort | Sokolovs-Karijs, Oļegs |
collection | PubMed |
description | Background and Objectives: the upper respiratory tract harbors the highest bacterial density in the whole respiratory system. Adenoids, which are located in the nasopharynx, are a major site of bacterial colonies in the upper airways. Our goal was to use culture-independent molecular techniques to identify the breadth of bacterial diversity in the adenoid vegetations of children suffering from chronic rhinosinusitis and obstructive sleep apnea. Materials and methods: in total, 21 adenoid samples were investigated using amplification and sequencing of the V3-V4 hypervariable region of the bacterial 16S rRNA gene. Results: among the most common bacterial species found were Veillonella atypica, Fusobactrium nucelatum, Shaalia odontolytica, and Moraxella catarrhalis. Veillonella atypica and Fusbacterium nucelatum dominated the microbiome in all 21 samples, attributing to more than 60% of all detected genetic material. Conclusions: since both Veillonella atypica and Fusobacterium nucleatum are, predominantly, oral cavity and dental microorganisms, our findings may suggest oral microbiome migration deeper into the oropharynx and nasopharynx where these bacteria colonize adenoid vegetations. |
format | Online Article Text |
id | pubmed-9318310 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93183102022-07-27 An Overview of Adenoid Microbiome Using 16S rRNA Gene Sequencing-Based Metagenomic Analysis Sokolovs-Karijs, Oļegs Brīvība, Monta Saksis, Rihards Sumeraga, Gunta Girotto, Francesca Erts, Renārs Osīte, Jana Krūmiņa, Angelika Medicina (Kaunas) Article Background and Objectives: the upper respiratory tract harbors the highest bacterial density in the whole respiratory system. Adenoids, which are located in the nasopharynx, are a major site of bacterial colonies in the upper airways. Our goal was to use culture-independent molecular techniques to identify the breadth of bacterial diversity in the adenoid vegetations of children suffering from chronic rhinosinusitis and obstructive sleep apnea. Materials and methods: in total, 21 adenoid samples were investigated using amplification and sequencing of the V3-V4 hypervariable region of the bacterial 16S rRNA gene. Results: among the most common bacterial species found were Veillonella atypica, Fusobactrium nucelatum, Shaalia odontolytica, and Moraxella catarrhalis. Veillonella atypica and Fusbacterium nucelatum dominated the microbiome in all 21 samples, attributing to more than 60% of all detected genetic material. Conclusions: since both Veillonella atypica and Fusobacterium nucleatum are, predominantly, oral cavity and dental microorganisms, our findings may suggest oral microbiome migration deeper into the oropharynx and nasopharynx where these bacteria colonize adenoid vegetations. MDPI 2022-07-11 /pmc/articles/PMC9318310/ /pubmed/35888639 http://dx.doi.org/10.3390/medicina58070920 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sokolovs-Karijs, Oļegs Brīvība, Monta Saksis, Rihards Sumeraga, Gunta Girotto, Francesca Erts, Renārs Osīte, Jana Krūmiņa, Angelika An Overview of Adenoid Microbiome Using 16S rRNA Gene Sequencing-Based Metagenomic Analysis |
title | An Overview of Adenoid Microbiome Using 16S rRNA Gene Sequencing-Based Metagenomic Analysis |
title_full | An Overview of Adenoid Microbiome Using 16S rRNA Gene Sequencing-Based Metagenomic Analysis |
title_fullStr | An Overview of Adenoid Microbiome Using 16S rRNA Gene Sequencing-Based Metagenomic Analysis |
title_full_unstemmed | An Overview of Adenoid Microbiome Using 16S rRNA Gene Sequencing-Based Metagenomic Analysis |
title_short | An Overview of Adenoid Microbiome Using 16S rRNA Gene Sequencing-Based Metagenomic Analysis |
title_sort | overview of adenoid microbiome using 16s rrna gene sequencing-based metagenomic analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9318310/ https://www.ncbi.nlm.nih.gov/pubmed/35888639 http://dx.doi.org/10.3390/medicina58070920 |
work_keys_str_mv | AT sokolovskarijsolegs anoverviewofadenoidmicrobiomeusing16srrnagenesequencingbasedmetagenomicanalysis AT brivibamonta anoverviewofadenoidmicrobiomeusing16srrnagenesequencingbasedmetagenomicanalysis AT saksisrihards anoverviewofadenoidmicrobiomeusing16srrnagenesequencingbasedmetagenomicanalysis AT sumeragagunta anoverviewofadenoidmicrobiomeusing16srrnagenesequencingbasedmetagenomicanalysis AT girottofrancesca anoverviewofadenoidmicrobiomeusing16srrnagenesequencingbasedmetagenomicanalysis AT ertsrenars anoverviewofadenoidmicrobiomeusing16srrnagenesequencingbasedmetagenomicanalysis AT ositejana anoverviewofadenoidmicrobiomeusing16srrnagenesequencingbasedmetagenomicanalysis AT kruminaangelika anoverviewofadenoidmicrobiomeusing16srrnagenesequencingbasedmetagenomicanalysis AT sokolovskarijsolegs overviewofadenoidmicrobiomeusing16srrnagenesequencingbasedmetagenomicanalysis AT brivibamonta overviewofadenoidmicrobiomeusing16srrnagenesequencingbasedmetagenomicanalysis AT saksisrihards overviewofadenoidmicrobiomeusing16srrnagenesequencingbasedmetagenomicanalysis AT sumeragagunta overviewofadenoidmicrobiomeusing16srrnagenesequencingbasedmetagenomicanalysis AT girottofrancesca overviewofadenoidmicrobiomeusing16srrnagenesequencingbasedmetagenomicanalysis AT ertsrenars overviewofadenoidmicrobiomeusing16srrnagenesequencingbasedmetagenomicanalysis AT ositejana overviewofadenoidmicrobiomeusing16srrnagenesequencingbasedmetagenomicanalysis AT kruminaangelika overviewofadenoidmicrobiomeusing16srrnagenesequencingbasedmetagenomicanalysis |