Oral microbiome profiles: 16S rRNA pyrosequencing and microarray assay comparison.

<h4>Objectives</h4>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 i...

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Autores principales: Jiyoung Ahn, Liying Yang, Bruce J Paster, Ian Ganly, Luc Morris, Zhiheng Pei, Richard B Hayes
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Publicado: Public Library of Science (PLoS) 2011
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spelling oai:doaj.org-article:360a7452f0c345118dfe7ea7edd195fb2021-11-18T06:49:02ZOral microbiome profiles: 16S rRNA pyrosequencing and microarray assay comparison.1932-620310.1371/journal.pone.0022788https://doaj.org/article/360a7452f0c345118dfe7ea7edd195fb2011-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21829515/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Objectives</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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).<h4>Conclusion</h4>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.Jiyoung AhnLiying YangBruce J PasterIan GanlyLuc MorrisZhiheng PeiRichard B HayesPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 6, Iss 7, p e22788 (2011)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Jiyoung Ahn
Liying Yang
Bruce J Paster
Ian Ganly
Luc Morris
Zhiheng Pei
Richard B Hayes
Oral microbiome profiles: 16S rRNA pyrosequencing and microarray assay comparison.
description <h4>Objectives</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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).<h4>Conclusion</h4>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.
format article
author Jiyoung Ahn
Liying Yang
Bruce J Paster
Ian Ganly
Luc Morris
Zhiheng Pei
Richard B Hayes
author_facet Jiyoung Ahn
Liying Yang
Bruce J Paster
Ian Ganly
Luc Morris
Zhiheng Pei
Richard B Hayes
author_sort Jiyoung Ahn
title Oral microbiome profiles: 16S rRNA pyrosequencing and microarray assay comparison.
title_short Oral microbiome profiles: 16S rRNA pyrosequencing and microarray assay comparison.
title_full Oral microbiome profiles: 16S rRNA pyrosequencing and microarray assay comparison.
title_fullStr Oral microbiome profiles: 16S rRNA pyrosequencing and microarray assay comparison.
title_full_unstemmed Oral microbiome profiles: 16S rRNA pyrosequencing and microarray assay comparison.
title_sort oral microbiome profiles: 16s rrna pyrosequencing and microarray assay comparison.
publisher Public Library of Science (PLoS)
publishDate 2011
url https://doaj.org/article/360a7452f0c345118dfe7ea7edd195fb
work_keys_str_mv AT jiyoungahn oralmicrobiomeprofiles16srrnapyrosequencingandmicroarrayassaycomparison
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AT ianganly oralmicrobiomeprofiles16srrnapyrosequencingandmicroarrayassaycomparison
AT lucmorris oralmicrobiomeprofiles16srrnapyrosequencingandmicroarrayassaycomparison
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AT richardbhayes oralmicrobiomeprofiles16srrnapyrosequencingandmicroarrayassaycomparison
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