Literature DB >> 28600760

Characterization of Sinus Microbiota by 16S Sequencing from Swabs.

Thad W Vickery1, Jennifer M Kofonow2, Vijay R Ramakrishnan3.   

Abstract

New culture-independent microbiology methods are leading to a paradigm shift in our understanding of how the microbial community at the mucosal surface impacts sinonasal health and disease. Whereas traditional culture-based protocols were designed to identify specific pathogens in order to direct antibiotic therapies and eradicate bacteria, newer molecular techniques allow for the identification of both culturable and nonculturable bacteria in diverse communities. As a result of the recent explosion in the use of molecular techniques, we are gaining an understanding of how commensal bacteria may help modulate the host immune response and promote homeostasis. Here, we describe the general workflow of microbiome sequencing including the detailed methods for extracting mixed-community genomic DNA from sinonasal swabs, amplifying bacterial 16S rRNA genes using quantitative PCR, and preparing the samples for next-generation sequencing on the most commonly used sequencing platforms.

Entities:  

Keywords:  Bacterial 16S rRNA; Culture-independent microbiology; DNA extraction; Microbiome; Next generation sequencing; Sinus swabs; Sinusitis

Mesh:

Substances:

Year:  2017        PMID: 28600760      PMCID: PMC5558891          DOI: 10.1007/978-1-4939-7037-7_2

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  30 in total

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2.  A detailed analysis of 16S ribosomal RNA gene segments for the diagnosis of pathogenic bacteria.

Authors:  Soumitesh Chakravorty; Danica Helb; Michele Burday; Nancy Connell; David Alland
Journal:  J Microbiol Methods       Date:  2007-02-22       Impact factor: 2.363

3.  Assessing and improving methods used in operational taxonomic unit-based approaches for 16S rRNA gene sequence analysis.

Authors:  Patrick D Schloss; Sarah L Westcott
Journal:  Appl Environ Microbiol       Date:  2011-03-18       Impact factor: 4.792

Review 4.  Role of the gut microbiota in immunity and inflammatory disease.

Authors:  Nobuhiko Kamada; Sang-Uk Seo; Grace Y Chen; Gabriel Núñez
Journal:  Nat Rev Immunol       Date:  2013-05       Impact factor: 53.106

5.  Sinus culture poorly predicts resident microbiota.

Authors:  Leah J Hauser; Leah M Feazel; Diana Ir; Rui Fang; Brandie D Wagner; Charles E Robertson; Daniel N Frank; Vijay R Ramakrishnan
Journal:  Int Forum Allergy Rhinol       Date:  2014-10-02       Impact factor: 3.858

6.  Phylogenetic structure of the prokaryotic domain: the primary kingdoms.

Authors:  C R Woese; G E Fox
Journal:  Proc Natl Acad Sci U S A       Date:  1977-11       Impact factor: 11.205

7.  Sinus microbiome diversity depletion and Corynebacterium tuberculostearicum enrichment mediates rhinosinusitis.

Authors:  Nicole A Abreu; Nabeetha A Nagalingam; Yuanlin Song; Frederick C Roediger; Steven D Pletcher; Andrew N Goldberg; Susan V Lynch
Journal:  Sci Transl Med       Date:  2012-09-12       Impact factor: 17.956

8.  Microbiome complexity and Staphylococcus aureus in chronic rhinosinusitis.

Authors:  Leah M Feazel; Charles E Robertson; Vijay R Ramakrishnan; Daniel N Frank
Journal:  Laryngoscope       Date:  2012-01-17       Impact factor: 3.325

9.  Phylogenetic analysis of Aquaspirillum magnetotacticum using polymerase chain reaction-amplified 16S rRNA-specific DNA.

Authors:  P A Eden; T M Schmidt; R P Blakemore; N R Pace
Journal:  Int J Syst Bacteriol       Date:  1991-04

10.  Evaluation of methods for the extraction and purification of DNA from the human microbiome.

Authors:  Sanqing Yuan; Dora B Cohen; Jacques Ravel; Zaid Abdo; Larry J Forney
Journal:  PLoS One       Date:  2012-03-23       Impact factor: 3.240

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  1 in total

1.  Specialized pro-resolving mediator lipidome and 16S rRNA bacterial microbiome data associated with human chronic rhinosinusitis.

Authors:  Thad W Vickery; Michael Armstrong; Jennifer M Kofonow; Charles E Robertson; Miranda E Kroehl; Nichole A Reisdorph; Vijay R Ramakrishnan; Daniel N Frank
Journal:  Data Brief       Date:  2021-04-01
  1 in total

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