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16S rRNA gene-based metagenomic analysis identifies a novel bacterial co-prevalence pattern in dental caries
OBJECTIVE: To identify the prevalence of acidogenic and nonacidogenic bacteria in patients with polycaries lesions, and to ascertain caries specific bacterial prevalence in relation to noncaries controls. MATERIALS AND METHODS: Total genomic DNA extracted from saliva of three adults and four childre...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4319289/ https://www.ncbi.nlm.nih.gov/pubmed/25713496 http://dx.doi.org/10.4103/1305-7456.149661 |
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author | Jagathrakshakan, Sri Nisha Sethumadhava, Raghavendra Jayesh Mehta, Dhaval Tushar Ramanathan, Arvind |
author_facet | Jagathrakshakan, Sri Nisha Sethumadhava, Raghavendra Jayesh Mehta, Dhaval Tushar Ramanathan, Arvind |
author_sort | Jagathrakshakan, Sri Nisha |
collection | PubMed |
description | OBJECTIVE: To identify the prevalence of acidogenic and nonacidogenic bacteria in patients with polycaries lesions, and to ascertain caries specific bacterial prevalence in relation to noncaries controls. MATERIALS AND METHODS: Total genomic DNA extracted from saliva of three adults and four children from the same family were subjected to 16S rRNA gene sequencing analysis on a next generation sequencer, the PGS-Ion Torrent. Those bacterial genera with read counts > 1000 were considered as significant in each of the subject and used to associate the occurrence with caries. RESULTS AND CONCLUSION: Sequencing analysis indicated a higher prevalence of Streptococcus, Rothia, Granulicatella, Gemella, Actinomyces, Selenomonas, Haemophilus and Veillonella in the caries group relative to controls. While higher prevalence of Streptococcus, Rothia and Granulicatella were observed in all caries samples, the prevalence of others was observable in 29–57% of samples. Interestingly, Rothia and Selenomonas, which are known to occur within anaerobic environments of dentinal caries and subgingival plaque biofilms, were seen in the saliva of these caries patients. Taken together, the study has identified for the first time a unique co-prevalence pattern of bacteria in caries patients that may be explored as distinct caries specific bacterial signature to predict cariogenesis in high-risk primary and mixed dentition age groups. |
format | Online Article Text |
id | pubmed-4319289 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-43192892015-02-24 16S rRNA gene-based metagenomic analysis identifies a novel bacterial co-prevalence pattern in dental caries Jagathrakshakan, Sri Nisha Sethumadhava, Raghavendra Jayesh Mehta, Dhaval Tushar Ramanathan, Arvind Eur J Dent Original Article OBJECTIVE: To identify the prevalence of acidogenic and nonacidogenic bacteria in patients with polycaries lesions, and to ascertain caries specific bacterial prevalence in relation to noncaries controls. MATERIALS AND METHODS: Total genomic DNA extracted from saliva of three adults and four children from the same family were subjected to 16S rRNA gene sequencing analysis on a next generation sequencer, the PGS-Ion Torrent. Those bacterial genera with read counts > 1000 were considered as significant in each of the subject and used to associate the occurrence with caries. RESULTS AND CONCLUSION: Sequencing analysis indicated a higher prevalence of Streptococcus, Rothia, Granulicatella, Gemella, Actinomyces, Selenomonas, Haemophilus and Veillonella in the caries group relative to controls. While higher prevalence of Streptococcus, Rothia and Granulicatella were observed in all caries samples, the prevalence of others was observable in 29–57% of samples. Interestingly, Rothia and Selenomonas, which are known to occur within anaerobic environments of dentinal caries and subgingival plaque biofilms, were seen in the saliva of these caries patients. Taken together, the study has identified for the first time a unique co-prevalence pattern of bacteria in caries patients that may be explored as distinct caries specific bacterial signature to predict cariogenesis in high-risk primary and mixed dentition age groups. Medknow Publications & Media Pvt Ltd 2015 /pmc/articles/PMC4319289/ /pubmed/25713496 http://dx.doi.org/10.4103/1305-7456.149661 Text en Copyright: © European Journal of Dentistry http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Jagathrakshakan, Sri Nisha Sethumadhava, Raghavendra Jayesh Mehta, Dhaval Tushar Ramanathan, Arvind 16S rRNA gene-based metagenomic analysis identifies a novel bacterial co-prevalence pattern in dental caries |
title | 16S rRNA gene-based metagenomic analysis identifies a novel bacterial co-prevalence pattern in dental caries |
title_full | 16S rRNA gene-based metagenomic analysis identifies a novel bacterial co-prevalence pattern in dental caries |
title_fullStr | 16S rRNA gene-based metagenomic analysis identifies a novel bacterial co-prevalence pattern in dental caries |
title_full_unstemmed | 16S rRNA gene-based metagenomic analysis identifies a novel bacterial co-prevalence pattern in dental caries |
title_short | 16S rRNA gene-based metagenomic analysis identifies a novel bacterial co-prevalence pattern in dental caries |
title_sort | 16s rrna gene-based metagenomic analysis identifies a novel bacterial co-prevalence pattern in dental caries |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4319289/ https://www.ncbi.nlm.nih.gov/pubmed/25713496 http://dx.doi.org/10.4103/1305-7456.149661 |
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