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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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Detalles Bibliográficos
Autores principales: Jagathrakshakan, Sri Nisha, Sethumadhava, Raghavendra Jayesh, Mehta, Dhaval Tushar, Ramanathan, Arvind
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2015
Materias:
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.
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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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