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Confident phylogenetic identification of uncultured prokaryotes through long read amplicon sequencing of the 16S‐ITS‐23S rRNA operon
Amplicon sequencing of the 16S rRNA gene is the predominant method to quantify microbial compositions and to discover novel lineages. However, traditional short amplicons often do not contain enough information to confidently resolve their phylogeny. Here we present a cost‐effective protocol that am...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6849856/ https://www.ncbi.nlm.nih.gov/pubmed/31012228 http://dx.doi.org/10.1111/1462-2920.14636 |
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author | Martijn, Joran Lind, Anders E. Schön, Max E. Spiertz, Ian Juzokaite, Lina Bunikis, Ignas Pettersson, Olga V. Ettema, Thijs J. G. |
author_facet | Martijn, Joran Lind, Anders E. Schön, Max E. Spiertz, Ian Juzokaite, Lina Bunikis, Ignas Pettersson, Olga V. Ettema, Thijs J. G. |
author_sort | Martijn, Joran |
collection | PubMed |
description | Amplicon sequencing of the 16S rRNA gene is the predominant method to quantify microbial compositions and to discover novel lineages. However, traditional short amplicons often do not contain enough information to confidently resolve their phylogeny. Here we present a cost‐effective protocol that amplifies a large part of the rRNA operon and sequences the amplicons with PacBio technology. We tested our method on a mock community and developed a read‐curation pipeline that reduces the overall read error rate to 0.18%. Applying our method on four environmental samples, we captured near full‐length rRNA operon amplicons from a large diversity of prokaryotes. The method operated at moderately high‐throughput (22286–37,850 raw ccs reads) and generated a large amount of putative novel archaeal 23S rRNA gene sequences compared to the archaeal SILVA database. These long amplicons allowed for higher resolution during taxonomic classification by means of long (∼1000 bp) 16S rRNA gene fragments and for substantially more confident phylogenies by means of combined near full‐length 16S and 23S rRNA gene sequences, compared to shorter traditional amplicons (250 bp of the 16S rRNA gene). We recommend our method to those who wish to cost‐effectively and confidently estimate the phylogenetic diversity of prokaryotes in environmental samples at high throughput. |
format | Online Article Text |
id | pubmed-6849856 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-68498562019-11-15 Confident phylogenetic identification of uncultured prokaryotes through long read amplicon sequencing of the 16S‐ITS‐23S rRNA operon Martijn, Joran Lind, Anders E. Schön, Max E. Spiertz, Ian Juzokaite, Lina Bunikis, Ignas Pettersson, Olga V. Ettema, Thijs J. G. Environ Microbiol Research Articles Amplicon sequencing of the 16S rRNA gene is the predominant method to quantify microbial compositions and to discover novel lineages. However, traditional short amplicons often do not contain enough information to confidently resolve their phylogeny. Here we present a cost‐effective protocol that amplifies a large part of the rRNA operon and sequences the amplicons with PacBio technology. We tested our method on a mock community and developed a read‐curation pipeline that reduces the overall read error rate to 0.18%. Applying our method on four environmental samples, we captured near full‐length rRNA operon amplicons from a large diversity of prokaryotes. The method operated at moderately high‐throughput (22286–37,850 raw ccs reads) and generated a large amount of putative novel archaeal 23S rRNA gene sequences compared to the archaeal SILVA database. These long amplicons allowed for higher resolution during taxonomic classification by means of long (∼1000 bp) 16S rRNA gene fragments and for substantially more confident phylogenies by means of combined near full‐length 16S and 23S rRNA gene sequences, compared to shorter traditional amplicons (250 bp of the 16S rRNA gene). We recommend our method to those who wish to cost‐effectively and confidently estimate the phylogenetic diversity of prokaryotes in environmental samples at high throughput. John Wiley & Sons, Inc. 2019-05-07 2019-07 /pmc/articles/PMC6849856/ /pubmed/31012228 http://dx.doi.org/10.1111/1462-2920.14636 Text en © 2019 The Authors. Environmental Microbiology published by Society for Applied Microbiology and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Articles Martijn, Joran Lind, Anders E. Schön, Max E. Spiertz, Ian Juzokaite, Lina Bunikis, Ignas Pettersson, Olga V. Ettema, Thijs J. G. Confident phylogenetic identification of uncultured prokaryotes through long read amplicon sequencing of the 16S‐ITS‐23S rRNA operon |
title | Confident phylogenetic identification of uncultured prokaryotes through long read amplicon sequencing of the 16S‐ITS‐23S rRNA operon |
title_full | Confident phylogenetic identification of uncultured prokaryotes through long read amplicon sequencing of the 16S‐ITS‐23S rRNA operon |
title_fullStr | Confident phylogenetic identification of uncultured prokaryotes through long read amplicon sequencing of the 16S‐ITS‐23S rRNA operon |
title_full_unstemmed | Confident phylogenetic identification of uncultured prokaryotes through long read amplicon sequencing of the 16S‐ITS‐23S rRNA operon |
title_short | Confident phylogenetic identification of uncultured prokaryotes through long read amplicon sequencing of the 16S‐ITS‐23S rRNA operon |
title_sort | confident phylogenetic identification of uncultured prokaryotes through long read amplicon sequencing of the 16s‐its‐23s rrna operon |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6849856/ https://www.ncbi.nlm.nih.gov/pubmed/31012228 http://dx.doi.org/10.1111/1462-2920.14636 |
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