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Critical Issues in Mycobiota Analysis
Fungi constitute an important part of the human microbiota and they play a significant role for health and disease development. Advancements made in the culture-independent analysis of microbial communities have broadened our understanding of the mycobiota, however, microbiota analysis tools have be...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5306204/ https://www.ncbi.nlm.nih.gov/pubmed/28261162 http://dx.doi.org/10.3389/fmicb.2017.00180 |
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author | Halwachs, Bettina Madhusudhan, Nandhitha Krause, Robert Nilsson, R. Henrik Moissl-Eichinger, Christine Högenauer, Christoph Thallinger, Gerhard G. Gorkiewicz, Gregor |
author_facet | Halwachs, Bettina Madhusudhan, Nandhitha Krause, Robert Nilsson, R. Henrik Moissl-Eichinger, Christine Högenauer, Christoph Thallinger, Gerhard G. Gorkiewicz, Gregor |
author_sort | Halwachs, Bettina |
collection | PubMed |
description | Fungi constitute an important part of the human microbiota and they play a significant role for health and disease development. Advancements made in the culture-independent analysis of microbial communities have broadened our understanding of the mycobiota, however, microbiota analysis tools have been mainly developed for bacteria (e.g., targeting the 16S rRNA gene) and they often fall short if applied to fungal marker-gene based investigations (i.e., internal transcribed spacers, ITS). In the current paper we discuss all major steps of a fungal amplicon analysis starting with DNA extraction from specimens up to bioinformatics analyses of next-generation sequencing data. Specific points are discussed at each step and special emphasis is placed on the bioinformatics challenges emerging during operational taxonomic unit (OTU) picking, a critical step in mycobiota analysis. By using an in silico ITS1 mock community we demonstrate that standard analysis pipelines fall short if used with default settings showing erroneous fungal community representations. We highlight that switching OTU picking to a closed reference approach greatly enhances performance. Finally, recommendations are given on how to perform ITS based mycobiota analysis with the currently available measures. |
format | Online Article Text |
id | pubmed-5306204 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-53062042017-03-03 Critical Issues in Mycobiota Analysis Halwachs, Bettina Madhusudhan, Nandhitha Krause, Robert Nilsson, R. Henrik Moissl-Eichinger, Christine Högenauer, Christoph Thallinger, Gerhard G. Gorkiewicz, Gregor Front Microbiol Microbiology Fungi constitute an important part of the human microbiota and they play a significant role for health and disease development. Advancements made in the culture-independent analysis of microbial communities have broadened our understanding of the mycobiota, however, microbiota analysis tools have been mainly developed for bacteria (e.g., targeting the 16S rRNA gene) and they often fall short if applied to fungal marker-gene based investigations (i.e., internal transcribed spacers, ITS). In the current paper we discuss all major steps of a fungal amplicon analysis starting with DNA extraction from specimens up to bioinformatics analyses of next-generation sequencing data. Specific points are discussed at each step and special emphasis is placed on the bioinformatics challenges emerging during operational taxonomic unit (OTU) picking, a critical step in mycobiota analysis. By using an in silico ITS1 mock community we demonstrate that standard analysis pipelines fall short if used with default settings showing erroneous fungal community representations. We highlight that switching OTU picking to a closed reference approach greatly enhances performance. Finally, recommendations are given on how to perform ITS based mycobiota analysis with the currently available measures. Frontiers Media S.A. 2017-02-14 /pmc/articles/PMC5306204/ /pubmed/28261162 http://dx.doi.org/10.3389/fmicb.2017.00180 Text en Copyright © 2017 Halwachs, Madhusudhan, Krause, Nilsson, Moissl-Eichinger, Högenauer, Thallinger and Gorkiewicz. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Halwachs, Bettina Madhusudhan, Nandhitha Krause, Robert Nilsson, R. Henrik Moissl-Eichinger, Christine Högenauer, Christoph Thallinger, Gerhard G. Gorkiewicz, Gregor Critical Issues in Mycobiota Analysis |
title | Critical Issues in Mycobiota Analysis |
title_full | Critical Issues in Mycobiota Analysis |
title_fullStr | Critical Issues in Mycobiota Analysis |
title_full_unstemmed | Critical Issues in Mycobiota Analysis |
title_short | Critical Issues in Mycobiota Analysis |
title_sort | critical issues in mycobiota analysis |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5306204/ https://www.ncbi.nlm.nih.gov/pubmed/28261162 http://dx.doi.org/10.3389/fmicb.2017.00180 |
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