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The apical root canal system microbial communities determined by next-generation sequencing
The aim of this study was to explore the microbial communities of endodontic infections at their apical portion by 16S rRNA Illumina sequencing and delineate the core microbiome of root canal infections and that of their associated clinical symptomatology. Samples were collected from fifteen subject...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331743/ https://www.ncbi.nlm.nih.gov/pubmed/32616783 http://dx.doi.org/10.1038/s41598-020-67828-3 |
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author | de Brito, Luciana Carla Neves Doolittle-Hall, Janet Lee, Chun-Teh Moss, Kevin Bambirra Júnior, Wilson Tavares, Warley Luciano Fonseca Ribeiro Sobrinho, Antônio Paulino Teles, Flávia Rocha Fonseca |
author_facet | de Brito, Luciana Carla Neves Doolittle-Hall, Janet Lee, Chun-Teh Moss, Kevin Bambirra Júnior, Wilson Tavares, Warley Luciano Fonseca Ribeiro Sobrinho, Antônio Paulino Teles, Flávia Rocha Fonseca |
author_sort | de Brito, Luciana Carla Neves |
collection | PubMed |
description | The aim of this study was to explore the microbial communities of endodontic infections at their apical portion by 16S rRNA Illumina sequencing and delineate the core microbiome of root canal infections and that of their associated clinical symptomatology. Samples were collected from fifteen subjects presenting one tooth with a root canal infection, and their associated symptoms were recorded. Samples were collected from the apical third of roots using a #10 K file and then amplified using multiple displacement amplification and PCR-amplified with universal primers. Amplicons were sequenced (V3–V4 hypervariable region of the 16S rRNA gene) using MiSeq (Illumina, CA). The microbial composition of the samples was determined using QIIME and HOMINGS. Data were analyzed using t tests and ANOVA. A total of 1,038,656 good quality sequences were obtained, and OTUs were assigned to 10 bacterial phyla, led by Bacteroidetes (51.2%) and Firmicutes (27.1%), and 94 genera were represented primarily by Prevotella (17.9%) and Bacteroidaceae G-1 (14.3%). Symptomatic teeth were associated with higher levels of Porphyromonas (p < 0.05) and Prevotella. P. endodontalis and P. oris were present in both cores. The present study demonstrated the complexity of the root canal microbiome and the “common denominators” of root canal infections and identified taxa whose virulence properties should be further explored. The polymicrobial etiology of endodontic infections has long been established. However, few studies have focused on expanding the breadth and depth of coverage of microbiome-infected root canals at their apical portion. |
format | Online Article Text |
id | pubmed-7331743 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73317432020-07-06 The apical root canal system microbial communities determined by next-generation sequencing de Brito, Luciana Carla Neves Doolittle-Hall, Janet Lee, Chun-Teh Moss, Kevin Bambirra Júnior, Wilson Tavares, Warley Luciano Fonseca Ribeiro Sobrinho, Antônio Paulino Teles, Flávia Rocha Fonseca Sci Rep Article The aim of this study was to explore the microbial communities of endodontic infections at their apical portion by 16S rRNA Illumina sequencing and delineate the core microbiome of root canal infections and that of their associated clinical symptomatology. Samples were collected from fifteen subjects presenting one tooth with a root canal infection, and their associated symptoms were recorded. Samples were collected from the apical third of roots using a #10 K file and then amplified using multiple displacement amplification and PCR-amplified with universal primers. Amplicons were sequenced (V3–V4 hypervariable region of the 16S rRNA gene) using MiSeq (Illumina, CA). The microbial composition of the samples was determined using QIIME and HOMINGS. Data were analyzed using t tests and ANOVA. A total of 1,038,656 good quality sequences were obtained, and OTUs were assigned to 10 bacterial phyla, led by Bacteroidetes (51.2%) and Firmicutes (27.1%), and 94 genera were represented primarily by Prevotella (17.9%) and Bacteroidaceae G-1 (14.3%). Symptomatic teeth were associated with higher levels of Porphyromonas (p < 0.05) and Prevotella. P. endodontalis and P. oris were present in both cores. The present study demonstrated the complexity of the root canal microbiome and the “common denominators” of root canal infections and identified taxa whose virulence properties should be further explored. The polymicrobial etiology of endodontic infections has long been established. However, few studies have focused on expanding the breadth and depth of coverage of microbiome-infected root canals at their apical portion. Nature Publishing Group UK 2020-07-02 /pmc/articles/PMC7331743/ /pubmed/32616783 http://dx.doi.org/10.1038/s41598-020-67828-3 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article de Brito, Luciana Carla Neves Doolittle-Hall, Janet Lee, Chun-Teh Moss, Kevin Bambirra Júnior, Wilson Tavares, Warley Luciano Fonseca Ribeiro Sobrinho, Antônio Paulino Teles, Flávia Rocha Fonseca The apical root canal system microbial communities determined by next-generation sequencing |
title | The apical root canal system microbial communities determined by next-generation sequencing |
title_full | The apical root canal system microbial communities determined by next-generation sequencing |
title_fullStr | The apical root canal system microbial communities determined by next-generation sequencing |
title_full_unstemmed | The apical root canal system microbial communities determined by next-generation sequencing |
title_short | The apical root canal system microbial communities determined by next-generation sequencing |
title_sort | apical root canal system microbial communities determined by next-generation sequencing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331743/ https://www.ncbi.nlm.nih.gov/pubmed/32616783 http://dx.doi.org/10.1038/s41598-020-67828-3 |
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