2015
DOI: 10.4103/1305-7456.149661
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16S rRNA gene-based metagenomic analysis identifies a novel bacterial co-prevalence pattern in dental caries

Abstract: 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 t… Show more

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Cited by 29 publications
(26 citation statements)
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“…Moreover, the realization that there remain wild-type protective taxa that may be lost with time and environmental influences, offers clues for developing potential prevention or treatment strategies based on microbial agents. These data are also consistent with complex ecological interactions and metabolic crosstalk among multiple strains underlying dental caries_(Gross et al ., 2012; Jagathrakshakan et al ., 2015; Marsh, 2003). The microbial ecology of dental caries may be highly individualized, rather than defined by health and disease ecotypes or single-microbe etiology across populations.…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, the realization that there remain wild-type protective taxa that may be lost with time and environmental influences, offers clues for developing potential prevention or treatment strategies based on microbial agents. These data are also consistent with complex ecological interactions and metabolic crosstalk among multiple strains underlying dental caries_(Gross et al ., 2012; Jagathrakshakan et al ., 2015; Marsh, 2003). The microbial ecology of dental caries may be highly individualized, rather than defined by health and disease ecotypes or single-microbe etiology across populations.…”
Section: Discussionmentioning
confidence: 99%
“…This combinatorial approach does not require genetic sequences, thus worthily replacing microarrays. RNA-seq analyses revealed the proportion of the dormant cell subpopulation within the bacterial biomass of S. epidermidis and the coexistence of unknown bacterial species in oral cavity pathogenesis (183)(184)(185)(186). The heterogeneous, noncrystalline, and insoluble biofilm extracellular matrix is a rather perplexing assembly.…”
Section: Quantitation and Viability Assaysmentioning
confidence: 99%
“…Typically, studies using NGS to characterize microbial communities target one or more regions of the16S rRNA gene, which due to their hypervariability serve as good markers of bacterial taxa in samples. This approach has recently been used in a series of studies to explore microbiomes of dental caries [12][13][14][15], providing better insight into the diversity of the microbial community associated with dental caries. And despite methodological differences among these studies in terms of sampling (saliva vs. supragingival plaque vs. carious dentine), hypervariable regions selected for sequencing and the bioinformatic analysis pipeline used, a number of taxa consistently showed association with dental caries, including, S. mutans, Lactobacillus spp., Propionibacterium spp., Veillonella spp., and Atopobium spp.…”
Section: Introductionmentioning
confidence: 99%