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SAL_20440 details
Primary information
SALIDSAL_20440
Biomarker namePeptoniphilus
Biomarker TypeNA
Sampling MethodAge 19-89, male and female
Collection MethodOral wash saliva samples were obtained using saline from each subject, and immediately centrifuged to harvest cell pellets
Analysis MethodHOMIM
Collection SiteWhole Saliva
Disease CategoryHealthy
Disease/ConditionHealthy
Disease SubtypeNA
Fold Change/ ConcentrationNA
Up/DownregulatedNA
ExosomalNA
OrganismHomo sapiens
PMID21829515
Year of Publication2011
Biomarker ID337315
Biomarker CategoryMicrobe
SequenceEU526292.1
Title of studyOral microbiome profiles: 16S rRNA pyrosequencing and microarray assay comparison
Abstract of studyOBJECTIVES: The human oral microbiome is potentially related to diverse health conditions and high-throughput technology provides the possibility of surveying microbial community structure at high resolution. We compared two oral microbiome survey methods: broad-based microbiome identification by 16S rRNA gene sequencing and targeted characterization of microbes by custom DNA microarray.METHODS: Oral wash samples were collected from 20 individuals at Memorial Sloan-Kettering Cancer Center. 16S rRNA gene survey was performed by 454 pyrosequencing of the V3-V5 region (450 bp). Targeted identification by DNA microarray was carried out with the Human Oral Microbe Identification Microarray (HOMIM). Correlations and relative abundance were compared at phylum and genus level, between 16S rRNA sequence read ratio and HOMIM hybridization intensity.RESULTS: The major phyla, Firmicutes, Proteobacteria, Bacteroidetes, Actinobacteria, and Fusobacteria were identified with high correlation by the two methods (r = 0.70∼0.86). 16S rRNA gene pyrosequencing identified 77 genera and HOMIM identified 49, with 37 genera detected by both methods; more than 98% of classified bacteria were assigned in these 37 genera. Concordance by the two assays (presence/absence) and correlations were high for common genera (Streptococcus, Veillonella, Leptotrichia, Prevotella, and Haemophilus; Correlation = 0.70-0.84).CONCLUSION: Microbiome community profiles assessed by 16S rRNA pyrosequencing and HOMIM were highly correlated at the phylum level and, when comparing the more commonly detected taxa, also at the genus level. Both methods are currently suitable for high-throughput epidemiologic investigations relating identified and more common oral microbial taxa to disease risk; yet, pyrosequencing may provide a broader spectrum of taxa identification, a distinct sequence-read record, and greater detection sensitivity.