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Evaluation of Oral Cavity DNA Extraction Methods on Bacterial and Fungal Microbiota.
- Source :
-
Scientific reports [Sci Rep] 2019 Feb 06; Vol. 9 (1), pp. 1531. Date of Electronic Publication: 2019 Feb 06. - Publication Year :
- 2019
-
Abstract
- The objective of this study was to evaluate the most effective method of DNA extraction of oral mouthwash samples for use in microbiome studies that utilize next generation sequencing (NGS). Eight enzymatic and mechanical DNA extraction methods were tested. Extracted DNA was amplified using barcoded primers targeting the V6 variable region of the bacterial 16S rRNA gene and the ITS1 region of the fungal ribosomal gene cluster and sequenced using the Illumina NGS platform. Sequenced reads were analyzed using QIIME and R. The eight methods yielded significantly different quantities of DNA (p < 0.001), with the phenol-chloroform extraction method producing the highest total yield. There were no significant differences in observed bacterial or fungal Shannon diversity (p = 0.64, p = 0.93 respectively) by extraction method. Bray-Curtis beta-diversity did not demonstrate statistically significant differences between the eight extraction methods based on bacterial (R <superscript>2</superscript> = 0.086, p = 1.00) and fungal (R <superscript>2</superscript> = 0.039, p = 1.00) assays. No differences were seen between methods with or without bead-beating. These data indicate that choice of DNA extraction method affect total DNA recovery without significantly affecting the observed microbiome.
- Subjects :
- DNA Barcoding, Taxonomic
DNA, Bacterial genetics
DNA, Bacterial isolation & purification
DNA, Fungal genetics
DNA, Fungal isolation & purification
DNA, Ribosomal Spacer genetics
Humans
Microbiota
Mycobiome
Pilot Projects
RNA, Ribosomal, 16S genetics
Biodiversity
DNA, Bacterial analysis
DNA, Fungal analysis
DNA, Ribosomal Spacer analysis
High-Throughput Nucleotide Sequencing methods
Mouth microbiology
RNA, Ribosomal, 16S analysis
Subjects
Details
- Language :
- English
- ISSN :
- 2045-2322
- Volume :
- 9
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Scientific reports
- Publication Type :
- Academic Journal
- Accession number :
- 30728424
- Full Text :
- https://doi.org/10.1038/s41598-018-38049-6