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KMID : 0364820190550010001
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Korean Journal of Microbiology
2019 Volume.55 No. 1 p.1 ~ p.8
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A highly efficient computational discrimination among Streptococcal species of periodontitis patients using 16S rRNA amplicons
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Al-Dabbagh Nebras N.
Hashim Hayder O.
Al-Shuhaib Mohammed Baqur S.
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Abstract
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Due to the major role played by several species of Streptococcusin the etiology of periodontitis, it is important to assess thepattern of Streptococcus pathogenic pathways within the infected follows in the infected subgingival site. subgingival pockets using a bacterial specific 16S rRNAfragment. From the total of 50 patients with periodontitisincluded in the study, only 23 Streptococcal isolates wereconsidered for further analyses, in which their 16S rRNAfragments were amplified and sequenced. Then, a comprehensivephylogenetic tree was constructed and in silicoprediction was performed for the observed Streptococcal species. The phylogenetic analysis of the subgingival Streptococcalspecies revealed a high discrimination power of the 16S rRNAfragment to accurately identify three groups of Streptococcuson the species level, including S. salivarius (14 isolates), S. anginosus (5 isolates), and S. gordonii (4 isolates). Theemployment of state-of-art in silico tools indicated that eachStreptococcal species group was characterized with particulartranscription factors that bound exclusively with a different16S rRNA-based secondary structure. In conclusion, the observeddata of the present study provided in-depth insights into themechanism of each Streptococcal species in its pathogenesis,which differ in each observed group, according to the differencesin the 16S rRNA secondary structure it takes, and the consequentbinding with its corresponding transcription factors. This studypaves the way for further interventions of the in silico prediction,with the main conventional in vitro microbiota identification topresent an interesting insight in terms of the gene expressionpattern and the signaling pathway that each pathogenic species
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KEYWORD
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Streptococcus anginosus, Streptococcus gordonii, Streptococcus salivarius, in silico, periodontitis
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