Evaluation of Oral Cavity DNA Extraction Methods on Bacterial and Fungal Microbiota

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作者
Jennifer Rosenbaum
Mykhaylo Usyk
Zigui Chen
Christine P. Zolnik
Heidi E. Jones
Levi Waldron
Jennifer B. Dowd
Lorna E. Thorpe
Robert D. Burk
机构
[1] Albert Einstein College of Medicine,Department of Pediatrics
[2] The Chinese University of Hong Kong,Department of Microbiology, Faculty of Medicine
[3] Long Island University,Department of Biology
[4] CUNY Graduate School of Public Health and Health Policy,Departments of Obstetrics & Gynecology and Women’s Health, Epidemiology and Population Health, and Microbiology & Immunology
[5] Albert Einstein College of Medicine,Department of Global Health and Social Medicine
[6] King’s College London,undefined
[7] NYU School of Medicine,undefined
[8] Department of Population Health,undefined
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摘要
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 (R2 = 0.086, p = 1.00) and fungal (R2 = 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.
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