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Profiling bacterial communities by MinION sequencing of ribosomal operons

BACKGROUND: An approach utilizing the long-read capability of the Oxford Nanopore MinION to rapidly sequence bacterial ribosomal operons of complex natural communities was developed. Microbial fingerprinting employs domain-specific forward primers (16S rRNA subunit), reverse primers (23S rRNA subuni...

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Autores principales: Kerkhof, Lee J., Dillon, Kevin P., Häggblom, Max M., McGuinness, Lora R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5599880/
https://www.ncbi.nlm.nih.gov/pubmed/28911333
http://dx.doi.org/10.1186/s40168-017-0336-9
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author Kerkhof, Lee J.
Dillon, Kevin P.
Häggblom, Max M.
McGuinness, Lora R.
author_facet Kerkhof, Lee J.
Dillon, Kevin P.
Häggblom, Max M.
McGuinness, Lora R.
author_sort Kerkhof, Lee J.
collection PubMed
description BACKGROUND: An approach utilizing the long-read capability of the Oxford Nanopore MinION to rapidly sequence bacterial ribosomal operons of complex natural communities was developed. Microbial fingerprinting employs domain-specific forward primers (16S rRNA subunit), reverse primers (23S rRNA subunit), and a high-fidelity Taq polymerase with proofreading capabilities. Amplicons contained both ribosomal subunits for broad-based phylogenetic assignment (~ 3900 bp of sequence), plus the intergenic spacer (ITS) region (~ 300 bp) for potential strain-specific identification. RESULTS: To test the approach, bacterial rRNA operons (~ 4200 bp) were amplified from six DNA samples employing a mixture of farm soil and bioreactor DNA in known concentrations. Each DNA sample mixture was barcoded, sequenced in quadruplicate (n = 24), on two separate 6-h runs using the MinION system (R7.3 flow cell; MAP005 and 006 chemistry). From nearly 90,000 MinION reads, roughly 33,000 forward and reverse sequences were obtained. This yielded over 10,000 2D sequences which were analyzed using a simplified data analysis pipeline based on NCBI Blast and assembly with Geneious software. The method could detect over 1000 operational taxonomic units in the sample sets in a quantitative manner. Global sequence coverage for the various rRNA operons ranged from 1 to 1951x. An iterative assembly scheme was developed to reconstruct those rRNA operons with > 35x coverage from a set of 30 operational taxonomic units (OTUs) among the Proteobacteria, Actinobacteria, Acidobacteria, Firmicutes, and Gemmatimonadetes. Phylogenetic analysis of the 16S rRNA and 23S rRNA genes from each operon demonstrated similar tree topologies with species/strain-level resolution. CONCLUSIONS: This sequencing method represents a cost-effective way to profile microbial communities. Because the MinION is small, portable, and runs on a laptop, the possibility of microbiota characterization in the field or on robotic platforms becomes realistic. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-017-0336-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-55998802017-09-18 Profiling bacterial communities by MinION sequencing of ribosomal operons Kerkhof, Lee J. Dillon, Kevin P. Häggblom, Max M. McGuinness, Lora R. Microbiome Research BACKGROUND: An approach utilizing the long-read capability of the Oxford Nanopore MinION to rapidly sequence bacterial ribosomal operons of complex natural communities was developed. Microbial fingerprinting employs domain-specific forward primers (16S rRNA subunit), reverse primers (23S rRNA subunit), and a high-fidelity Taq polymerase with proofreading capabilities. Amplicons contained both ribosomal subunits for broad-based phylogenetic assignment (~ 3900 bp of sequence), plus the intergenic spacer (ITS) region (~ 300 bp) for potential strain-specific identification. RESULTS: To test the approach, bacterial rRNA operons (~ 4200 bp) were amplified from six DNA samples employing a mixture of farm soil and bioreactor DNA in known concentrations. Each DNA sample mixture was barcoded, sequenced in quadruplicate (n = 24), on two separate 6-h runs using the MinION system (R7.3 flow cell; MAP005 and 006 chemistry). From nearly 90,000 MinION reads, roughly 33,000 forward and reverse sequences were obtained. This yielded over 10,000 2D sequences which were analyzed using a simplified data analysis pipeline based on NCBI Blast and assembly with Geneious software. The method could detect over 1000 operational taxonomic units in the sample sets in a quantitative manner. Global sequence coverage for the various rRNA operons ranged from 1 to 1951x. An iterative assembly scheme was developed to reconstruct those rRNA operons with > 35x coverage from a set of 30 operational taxonomic units (OTUs) among the Proteobacteria, Actinobacteria, Acidobacteria, Firmicutes, and Gemmatimonadetes. Phylogenetic analysis of the 16S rRNA and 23S rRNA genes from each operon demonstrated similar tree topologies with species/strain-level resolution. CONCLUSIONS: This sequencing method represents a cost-effective way to profile microbial communities. Because the MinION is small, portable, and runs on a laptop, the possibility of microbiota characterization in the field or on robotic platforms becomes realistic. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-017-0336-9) contains supplementary material, which is available to authorized users. BioMed Central 2017-09-15 /pmc/articles/PMC5599880/ /pubmed/28911333 http://dx.doi.org/10.1186/s40168-017-0336-9 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Kerkhof, Lee J.
Dillon, Kevin P.
Häggblom, Max M.
McGuinness, Lora R.
Profiling bacterial communities by MinION sequencing of ribosomal operons
title Profiling bacterial communities by MinION sequencing of ribosomal operons
title_full Profiling bacterial communities by MinION sequencing of ribosomal operons
title_fullStr Profiling bacterial communities by MinION sequencing of ribosomal operons
title_full_unstemmed Profiling bacterial communities by MinION sequencing of ribosomal operons
title_short Profiling bacterial communities by MinION sequencing of ribosomal operons
title_sort profiling bacterial communities by minion sequencing of ribosomal operons
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5599880/
https://www.ncbi.nlm.nih.gov/pubmed/28911333
http://dx.doi.org/10.1186/s40168-017-0336-9
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