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Published in: European Journal of Clinical Microbiology & Infectious Diseases 6/2018

Open Access 01-06-2018 | Original Article

Development and evaluation of a culture-free microbiota profiling platform (MYcrobiota) for clinical diagnostics

Authors: Stefan A. Boers, Saskia D. Hiltemann, Andrew P. Stubbs, Ruud Jansen, John P. Hays

Published in: European Journal of Clinical Microbiology & Infectious Diseases | Issue 6/2018

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Abstract

Microbiota profiling has the potential to greatly impact on routine clinical diagnostics by detecting DNA derived from live, fastidious, and dead bacterial cells present within clinical samples. Such results could potentially be used to benefit patients by influencing antibiotic prescribing practices or to generate new classical-based diagnostic methods, e.g., culture or PCR. However, technical flaws in 16S rRNA gene next-generation sequencing (NGS) protocols, together with the requirement for access to bioinformatics, currently hinder the introduction of microbiota analysis into clinical diagnostics. Here, we report on the development and evaluation of an “end-to-end” microbiota profiling platform (MYcrobiota), which combines our previously validated micelle PCR/NGS (micPCR/NGS) methodology with an easy-to-use, dedicated bioinformatics pipeline. The newly designed bioinformatics pipeline processes micPCR/NGS data automatically and summarizes the results in interactive, but simple web reports. In order to explore the utility of MYcrobiota in clinical diagnostics, 47 clinical samples (40 “damaged skin” samples and 7 synovial fluids) were investigated using routine bacterial culture as comparator. MYcrobiota confirmed the presence of bacterial DNA in 37/37 culture-positive samples and detected bacterial taxa in 2/10 culture-negative samples. Moreover, 36/38 potentially relevant aerobic bacterial taxa and 3/3 mixtures of anaerobic bacteria were identified using culture and MYcrobiota, with the sensitivity and specificity being 95%. Interestingly, the majority of the 448 bacterial taxa identified using MYcrobiota were not identified using culture, which could potentially have an impact on clinical decision-making. Taken together, the development of MYcrobiota is a promising step towards the introduction of microbiota analysis into clinical diagnostic laboratories.
Literature
1.
go back to reference Fournier PE, Raoult D (2011) Prospects for the future using genomics and proteomics in clinical microbiology. Annu Rev Microbiol 65:169–188CrossRefPubMed Fournier PE, Raoult D (2011) Prospects for the future using genomics and proteomics in clinical microbiology. Annu Rev Microbiol 65:169–188CrossRefPubMed
2.
go back to reference Rhoads DD, Wolcott RD, Sun Y, Dowd SE (2012) Comparison of culture and molecular identification of bacteria in chronic wounds. Int J Mol Sci 13:2535–2550CrossRefPubMedPubMedCentral Rhoads DD, Wolcott RD, Sun Y, Dowd SE (2012) Comparison of culture and molecular identification of bacteria in chronic wounds. Int J Mol Sci 13:2535–2550CrossRefPubMedPubMedCentral
3.
go back to reference Salipante SJ, Sengupta DJ, Rosenthal C et al (2013) Rapid 16S rRNA next-generation sequencing of polymicrobial clinical samples for diagnosis of complex bacterial infections. PLoS One 8:e65226CrossRefPubMedPubMedCentral Salipante SJ, Sengupta DJ, Rosenthal C et al (2013) Rapid 16S rRNA next-generation sequencing of polymicrobial clinical samples for diagnosis of complex bacterial infections. PLoS One 8:e65226CrossRefPubMedPubMedCentral
4.
go back to reference Hiergeist A, Reischl U, Priority Program Intestinal Microbiota Consortium/quality assessment participants, Gessner A (2016) Multicenter quality assessment of 16S ribosomal DNA-sequencing for microbiome analyses reveals high inter-center variability. Int J Med Microbiol 306:334–342CrossRefPubMed Hiergeist A, Reischl U, Priority Program Intestinal Microbiota Consortium/quality assessment participants, Gessner A (2016) Multicenter quality assessment of 16S ribosomal DNA-sequencing for microbiome analyses reveals high inter-center variability. Int J Med Microbiol 306:334–342CrossRefPubMed
5.
6.
7.
go back to reference Yang S, Lin S, Kelen GD, Quinn TC, Dick JD, Gaydos CA, Rothman RE (2002) Quantitative multiprobe PCR assay for simultaneous detection and identification to species level of bacterial pathogens. J Clin Microbiol 40:3449–3454CrossRefPubMedPubMedCentral Yang S, Lin S, Kelen GD, Quinn TC, Dick JD, Gaydos CA, Rothman RE (2002) Quantitative multiprobe PCR assay for simultaneous detection and identification to species level of bacterial pathogens. J Clin Microbiol 40:3449–3454CrossRefPubMedPubMedCentral
8.
go back to reference Schloss PD, Westcott SL, Ryabin T et al (2009) Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol 75:7537–7541CrossRefPubMedPubMedCentral Schloss PD, Westcott SL, Ryabin T et al (2009) Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol 75:7537–7541CrossRefPubMedPubMedCentral
10.
go back to reference Blankenberg D, Von Kuster G, Coraor N, Ananda G, Lazarus R, Mangan M, Nekrutenko A, Taylor J (2010) Galaxy: a web-based genome analysis tool for experimentalists. Curr Protoc Mol Biol 89:19.10.1–19.10.21 Blankenberg D, Von Kuster G, Coraor N, Ananda G, Lazarus R, Mangan M, Nekrutenko A, Taylor J (2010) Galaxy: a web-based genome analysis tool for experimentalists. Curr Protoc Mol Biol 89:19.10.1–19.10.21
11.
go back to reference Goecks J, Nekrutenko A, Taylor J, Galaxy Team (2010) Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences. Genome Biol 11:R86CrossRefPubMedPubMedCentral Goecks J, Nekrutenko A, Taylor J, Galaxy Team (2010) Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences. Genome Biol 11:R86CrossRefPubMedPubMedCentral
12.
go back to reference Martineau F, Picard FJ, Roy PH, Ouellette M, Bergeron MG (1998) Species-specific and ubiquitous-DNA-based assays for rapid identification of Staphylococcus aureus. J Clin Microbiol 36:618–623PubMedPubMedCentral Martineau F, Picard FJ, Roy PH, Ouellette M, Bergeron MG (1998) Species-specific and ubiquitous-DNA-based assays for rapid identification of Staphylococcus aureus. J Clin Microbiol 36:618–623PubMedPubMedCentral
13.
go back to reference Kozich JJ, Westcott SL, Baxter NT, Highlander SK, Schloss PD (2013) Development of a dual-index sequencing strategy and curation pipeline for analyzing amplicon sequence data on the MiSeq Illumina sequencing platform. Appl Environ Microbiol 79:5112–5120CrossRefPubMedPubMedCentral Kozich JJ, Westcott SL, Baxter NT, Highlander SK, Schloss PD (2013) Development of a dual-index sequencing strategy and curation pipeline for analyzing amplicon sequence data on the MiSeq Illumina sequencing platform. Appl Environ Microbiol 79:5112–5120CrossRefPubMedPubMedCentral
14.
go back to reference Hiltemann S, Hoogstrate Y, der Spek P, Jenster G, Stubbs A (2014) iReport: a generalised Galaxy solution for integrated experimental reporting. Gigascience 3:19CrossRefPubMedPubMedCentral Hiltemann S, Hoogstrate Y, der Spek P, Jenster G, Stubbs A (2014) iReport: a generalised Galaxy solution for integrated experimental reporting. Gigascience 3:19CrossRefPubMedPubMedCentral
16.
go back to reference Boers SA, Jansen R, Hays JP (2016) Suddenly everyone is a microbiota specialist. Clin Microbiol Infect 22:581–582CrossRefPubMed Boers SA, Jansen R, Hays JP (2016) Suddenly everyone is a microbiota specialist. Clin Microbiol Infect 22:581–582CrossRefPubMed
17.
go back to reference Price LB, Liu CM, Melendez JH et al (2009) Community analysis of chronic wound bacteria using 16S rRNA gene-based pyrosequencing: impact of diabetes and antibiotics on chronic wound microbiota. PLoS One 4:e6462CrossRefPubMedPubMedCentral Price LB, Liu CM, Melendez JH et al (2009) Community analysis of chronic wound bacteria using 16S rRNA gene-based pyrosequencing: impact of diabetes and antibiotics on chronic wound microbiota. PLoS One 4:e6462CrossRefPubMedPubMedCentral
18.
go back to reference Smith K, Collier A, Townsend EM, O'Donnell LE, Bal AM, Butcher J, Mackay WG, Ramage G, Williams C (2016) One step closer to understanding the role of bacteria in diabetic foot ulcers: characterising the microbiome of ulcers. BMC Microbiol 16:54CrossRefPubMedPubMedCentral Smith K, Collier A, Townsend EM, O'Donnell LE, Bal AM, Butcher J, Mackay WG, Ramage G, Williams C (2016) One step closer to understanding the role of bacteria in diabetic foot ulcers: characterising the microbiome of ulcers. BMC Microbiol 16:54CrossRefPubMedPubMedCentral
20.
go back to reference Lagier J-C, Hugon P, Khelaifia S, Fournier P-E, La Scola B, Raoult D (2015) The rebirth of culture in microbiology through the example of culturomics to study human gut microbiota. Clin Microbiol Rev 28:237–264CrossRefPubMedPubMedCentral Lagier J-C, Hugon P, Khelaifia S, Fournier P-E, La Scola B, Raoult D (2015) The rebirth of culture in microbiology through the example of culturomics to study human gut microbiota. Clin Microbiol Rev 28:237–264CrossRefPubMedPubMedCentral
Metadata
Title
Development and evaluation of a culture-free microbiota profiling platform (MYcrobiota) for clinical diagnostics
Authors
Stefan A. Boers
Saskia D. Hiltemann
Andrew P. Stubbs
Ruud Jansen
John P. Hays
Publication date
01-06-2018
Publisher
Springer Berlin Heidelberg
Published in
European Journal of Clinical Microbiology & Infectious Diseases / Issue 6/2018
Print ISSN: 0934-9723
Electronic ISSN: 1435-4373
DOI
https://doi.org/10.1007/s10096-018-3220-z

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