Skip to main content

Characterization of Sinus Microbiota by 16S Sequencing from Swabs

  • Protocol
  • First Online:

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1616))

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.

This is a preview of subscription content, log in via an institution.

Buying options

Protocol
USD   49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Springer Nature is developing a new tool to find and evaluate Protocols. Learn more

References

  1. Ramakrishnan VR, Hauser LJ, Frank DN (2016) The sinonasal bacterial microbiome in health and disease. Curr Opin Otolaryngol Head Neck Surg 24:20–25

    Article  PubMed  PubMed Central  Google Scholar 

  2. Hamilos DL (2014) Host-microbial interactions in patients with chronic rhinosinusitis. J Allergy Clin Immunol 133:640–653. e4

    Article  CAS  PubMed  Google Scholar 

  3. Feazel L, Robertson C, Ramakrishnan VR, Frank DN (2012) Staphylococcus aureus and microbiome diversity in chronic rhinosinusitis. Laryngoscope 122(2):467–472

    Article  PubMed  PubMed Central  Google Scholar 

  4. Ramakrishnan VR, Hauser LJ, Feazel LM, Ir D, Robertson CE, Frank DN (2015) Sinus microbiota varies among chronic rhinosinusitis phenotypes and predicts surgical outcome. J Allergy Clin Immunol 136(2):334–342

    Article  PubMed  Google Scholar 

  5. Vickery TV, Ramakrishnan VR (2017) Bacterial pathogens and the microbiome. Otolaryngol Clin N Am 50(1):29–47

    Article  Google Scholar 

  6. Lee JT, Frank DN, Ramakrishnan VR (2016) Sinus microbiome. Am J Rhinol Allergy 30(1):3–16

    Article  PubMed  Google Scholar 

  7. Hauser LJ, Feazel LM, Ir D et al (2015) Sinus culture poorly predicts resident microbiota. Int Forum Allergy Rhinol 5:3–9

    Article  PubMed  Google Scholar 

  8. Kamada N, Seo S-U, Chen GY et al (2013) Role of the gut microbiota in immunity and inflammatory disease. Nat Rev Immunol 13:321–335

    Article  CAS  PubMed  Google Scholar 

  9. Tabas I, Glass CK (2013) Anti-inflammatory therapy in chronic disease: challenges and opportunities. Science 339:166–172

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. McLoughlin RM, Mills KHG (2011) Influence of gastrointestinal commensal bacteria on the immune responses that mediate allergy and asthma. J Allergy Clin Immunol 127:1097–1108

    Article  CAS  PubMed  Google Scholar 

  11. Feazel LM, Robertson CE, Ramakrishnan VR et al (2012) Microbiome complexity and Staphylococcus aureus in chronic rhinosinusitis. Laryngoscope 122:467–472

    Article  PubMed  PubMed Central  Google Scholar 

  12. Abreu NA, Nagalingam NA, Song Y et al (2012) Sinus microbiome diversity depletion and Corynebacterium tuberculostearicum enrichment mediates rhinosinusitis. Sci Transl Med 4:151ra124

    Article  PubMed  PubMed Central  Google Scholar 

  13. Stephenson MF, Mfuna L, Dowd SE et al (2010) Molecular characterization of the polymicrobial flora in chronic rhinosinusitis. J Otolaryngol Head Neck Surg 39:182–187

    PubMed  Google Scholar 

  14. Ramakrishnan VR, Feazel LM, Gitomer SA et al (2013) The microbiome of the middle meatus in healthy adults. PLoS One 8:e85507

    Article  PubMed  PubMed Central  Google Scholar 

  15. Ward DM, Weller R, Bateson MM (1990) 16S rRNA sequences reveal numerous uncultured microorganisms in a natural community. Nature 345:63–65

    Article  CAS  PubMed  Google Scholar 

  16. Weisburg WG, Barns SM, Pelletier DA et al (1991) 16S ribosomal DNA amplification for phylogenetic study. J Bacteriol 173:697–703

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Turnbaugh PJ, Ley RE, Hamady M et al (2007) The human microbiome project. Nature 449:804–810

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Woese CR, Fox GE (1977) Phylogenetic structure of the prokaryotic domain: The primary kingdoms. Proc Natl Acad Sci U S A 74:5088–5090

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Yuan S, Cohen DB, Ravel J et al (2012) Evaluation of methods for the extraction and purification of DNA from the human microbiome. PLoS One 7:e33865

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Frank DN, Feazel LM, Bessesen MT et al (2010) The human nasal microbiota and Staphylococcus aureus carriage. PLoS One 5:e10598

    Article  PubMed  PubMed Central  Google Scholar 

  21. Frank DN, Wysocki A, Specht-Glick DD et al (2009) Microbial diversity in chronic open wounds. Wound Repair Regen 17:163–172

    Article  PubMed  Google Scholar 

  22. Frank DN, Spiegelman GB, Davis W et al (2003) Culture-independent molecular analysis of microbial constituents of the healthy human outer ear. J Clin Microbiol 41:295–303

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Hamady M, Walker JJ, Harris JK et al (2008) Error-correcting barcoded primers for pyrosequencing hundreds of samples in multiplex. Nat Methods 5:235–237

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Frank DN (2009) BARCRAWL and BARTAB: software tools for the design and implementation of barcoded primers for highly multiplexed DNA sequencing. BMC Bioinformatics 10:362

    Article  PubMed  PubMed Central  Google Scholar 

  25. Chakravorty S, Helb D, Burday M et al (2007) A detailed analysis of 16S ribosomal RNA gene segments for the diagnosis of pathogenic bacteria. J Microbiol Methods 69:330–339

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Rajendhran J, Gunasekaran P (2011) Microbial phylogeny and diversity: Small subunit ribosomal RNA sequence analysis and beyond. Microbiol Res 166:99–110

    Article  CAS  PubMed  Google Scholar 

  27. Zhou Q, Su X, Ning K (2014) Assessment of quality control approaches for metagenomic data analysis. Sci Rep 4:6957

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Ewing B, Hillier L, Wendl MC et al (1998) Base-calling of automated sequencer traces using phred. I Accuracy assessment. Genome Res 8:175–185

    Article  CAS  PubMed  Google Scholar 

  29. Edgar RC, Haas BJ, Clemente JC et al (2011) UCHIME improves sensitivity and speed of chimera detection. Bioinformatics 27:2194–2200

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Schloss PD, Westcott SL (2011) Assessing and improving methods used in operational taxonomic unit-based approaches for 16S rRNA gene sequence analysis. Appl Environ Microbiol 77:3219–3226

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Quast C, Pruesse E, Yilmaz P et al (2012) The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res 41:D590–D596

    Article  PubMed  PubMed Central  Google Scholar 

  32. Nadkarni MA, Martin FE, Jacques NA et al (2002) Determination of bacterial load by real-time PCR using a broad-range (universal) probe and primers set. Microbiology 148:257–266

    Article  CAS  PubMed  Google Scholar 

  33. Eden PA, Schmidt TM, Blakemore RP et al (1991) Phylogenetic analysis of Aquaspirillum magnetotacticum using polymerase chain reaction-amplified 16S rRNA-specific DNA. Int J Syst Bacteriol 41:324–325

    Article  CAS  PubMed  Google Scholar 

  34. Harris JK, Sahl JW, Castoe TA et al (2010) Comparison of normalization methods for construction of large, multiplex amplicon pools for next-generation sequencing. Appl Environ Microbiol 76:3863–3868

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgments

The authors would like to acknowledge Diana Ir for generously sharing her knowledge of 16S microbiome characterization, reviewing early drafts and providing valuable feedback that improved the manuscript significantly. In addition, we would like to thank Dr. Daniel N. Frank, Ph.D., for his generous support and collaboration. Research reported in this publication was supported by the National Institute On Deafness And Other Communication Disorders of the National Institutes of Health under award numbers K23DC014747 (V.R. Ramakrishnan) and T32DC01228003 (T.W. Vickery), as well as the Flight Attendants Medical Research Institute grant CIA13006 (V.R. Ramakrishnan and D.N. Frank). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or the Flight Attendants Medical Research Institute.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vijay R. Ramakrishnan M.D. .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media LLC

About this protocol

Cite this protocol

Vickery, T.W., Kofonow, J.M., Ramakrishnan, V.R. (2017). Characterization of Sinus Microbiota by 16S Sequencing from Swabs. In: Bishop-Lilly, K. (eds) Diagnostic Bacteriology. Methods in Molecular Biology, vol 1616. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7037-7_2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4939-7037-7_2

  • Published:

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7035-3

  • Online ISBN: 978-1-4939-7037-7

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics