Literature DB >> 19406095

Comparative analysis of human saliva microbiome diversity by barcoded pyrosequencing and cloning approaches.

Ivan Nasidze1, Dominique Quinque, Jing Li, Mingkun Li, Kun Tang, Mark Stoneking.   

Abstract

Metagenomic studies traditionally rely on cloning polymerase chain reaction (PCR) products and sequencing multiple clones. However, this approach is tedious and expensive, thereby limiting the range and scale of questions that can be addressed. Recent developments in DNA sequencing technologies enable a dramatic increase in throughput via parallel in-depth analysis of many samples with limited sample processing and lower costs. We directly compared the traditional cloning approach with a barcoded pyrosequencing method to see whether the latter accurately describes microbiome diversity in human saliva. Our results indicate that despite the shorter read lengths, the pyrosequencing approach provides a description of the human salivary microbiome that is in good agreement with results based on the traditional cloning and sequencing approach.

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Year:  2009        PMID: 19406095     DOI: 10.1016/j.ab.2009.04.034

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  31 in total

1.  Analysis of streptococcal CRISPRs from human saliva reveals substantial sequence diversity within and between subjects over time.

Authors:  David T Pride; Christine L Sun; Julia Salzman; Nitya Rao; Peter Loomer; Gary C Armitage; Jillian F Banfield; David A Relman
Journal:  Genome Res       Date:  2010-12-13       Impact factor: 9.043

2.  Evidence of uncultivated bacteria in the adult female bladder.

Authors:  Alan J Wolfe; Evelyn Toh; Noriko Shibata; Ruichen Rong; Kimberly Kenton; MaryPat Fitzgerald; Elizabeth R Mueller; Paul Schreckenberger; Qunfeng Dong; David E Nelson; Linda Brubaker
Journal:  J Clin Microbiol       Date:  2012-01-25       Impact factor: 5.948

Review 3.  Salivary biomarkers: toward future clinical and diagnostic utilities.

Authors:  Janice M Yoshizawa; Christopher A Schafer; Jason J Schafer; James J Farrell; Bruce J Paster; David T W Wong
Journal:  Clin Microbiol Rev       Date:  2013-10       Impact factor: 26.132

4.  Biome representational in silico karyotyping.

Authors:  Valliammai Muthappan; Aaron Y Lee; Tamara L Lamprecht; Lakshmi Akileswaran; Suzanne M Dintzis; Choli Lee; Vincent Magrini; Elaine R Mardis; Jay Shendure; Russell N Van Gelder
Journal:  Genome Res       Date:  2011-02-10       Impact factor: 9.043

5.  Clinical implications of oral candidiasis: host tissue damage and disseminated bacterial disease.

Authors:  Eric F Kong; Sona Kucharíková; Patrick Van Dijck; Brian M Peters; Mark E Shirtliff; Mary Ann Jabra-Rizk
Journal:  Infect Immun       Date:  2014-11-24       Impact factor: 3.441

6.  Deep metaproteomic analysis of human salivary supernatant.

Authors:  Pratik Jagtap; Thomas McGowan; Sricharan Bandhakavi; Zheng Jin Tu; Sean Seymour; Timothy J Griffin; Joel D Rudney
Journal:  Proteomics       Date:  2012-04       Impact factor: 3.984

Review 7.  Forensic Analysis of Human Microbiome in Skin and Body Fluids Based on Geographic Location.

Authors:  Hye-Won Cho; Yong-Bin Eom
Journal:  Front Cell Infect Microbiol       Date:  2021-08-12       Impact factor: 5.293

8.  Study of inter- and intra-individual variations in the salivary microbiota.

Authors:  Vladimir Lazarevic; Katrine Whiteson; David Hernandez; Patrice François; Jacques Schrenzel
Journal:  BMC Genomics       Date:  2010-09-28       Impact factor: 3.969

9.  Metagenomic study of the oral microbiota by Illumina high-throughput sequencing.

Authors:  Vladimir Lazarevic; Katrine Whiteson; Susan Huse; David Hernandez; Laurent Farinelli; Magne Osterås; Jacques Schrenzel; Patrice François
Journal:  J Microbiol Methods       Date:  2009-09-29       Impact factor: 2.363

10.  MetaSee: an interactive and extendable visualization toolbox for metagenomic sample analysis and comparison.

Authors:  Baoxing Song; Xiaoquan Su; Jian Xu; Kang Ning
Journal:  PLoS One       Date:  2012-11-08       Impact factor: 3.240

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