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In Silico Study Suggesting the Bias of Primers Choice in the Molecular Identification of Fungal Aerosols

This paper presents an in silico analysis to assess the current state of the fungal UNITE database in terms of the two eukaryote nuclear ribosomal regions, Internal Transcribed Spacers 1 and 2 (ITS1 and ITS2), used in describing fungal diversity. Microbial diversity is often evaluated with amplicon-...

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Autores principales: Mbareche, Hamza, Veillette, Marc, Bilodeau, Guillaume J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7911573/
https://www.ncbi.nlm.nih.gov/pubmed/33573216
http://dx.doi.org/10.3390/jof7020099
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author Mbareche, Hamza
Veillette, Marc
Bilodeau, Guillaume J.
author_facet Mbareche, Hamza
Veillette, Marc
Bilodeau, Guillaume J.
author_sort Mbareche, Hamza
collection PubMed
description This paper presents an in silico analysis to assess the current state of the fungal UNITE database in terms of the two eukaryote nuclear ribosomal regions, Internal Transcribed Spacers 1 and 2 (ITS1 and ITS2), used in describing fungal diversity. Microbial diversity is often evaluated with amplicon-based high-throughput sequencing approaches, which is a target enrichment method that relies on the amplification of a specific target using particular primers before sequencing. Thus, the results are highly dependent on the quality of the primers used for amplification. The goal of this study is to validate if the mismatches of the primers on the binding sites of the targeted taxa could explain the differences observed when using either ITS1 or ITS2 in describing airborne fungal diversity. Hence, the choice of the pairs of primers for each barcode concur with a study comparing the performance of ITS1 and ITS2 in three occupational environments. The sequence length varied between the amplicons retrieved from the UNITE database using the pair of primers targeting ITS1 and ITS2. However, the database contains an equal number of unidentified taxa from ITS1 and ITS2 regions in the six taxonomic levels employed (phylum, class, order, family, genus, species). The chosen ITS primers showed differences in their ability to amplify fungal sequences from the UNITE database. Eleven taxa consisting of Trichocomaceae, Dothioraceae, Botryosphaeriaceae, Mucorales, Saccharomycetes, Pucciniomycetes, Ophiocordyceps, Microsporidia, Archaeorhizomycetes, Mycenaceae, and Tulasnellaceae showed large variations between the two regions. Note that members of the latter taxa are not all typical fungi found in the air. As no universal method is currently available to cover all the fungal kingdom, continuous work in designing primers, and particularly combining multiple primers targeting the ITS region is the best way to compensate for the biases of each one to get a larger view of the fungal diversity.
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spelling pubmed-79115732021-02-28 In Silico Study Suggesting the Bias of Primers Choice in the Molecular Identification of Fungal Aerosols Mbareche, Hamza Veillette, Marc Bilodeau, Guillaume J. J Fungi (Basel) Article This paper presents an in silico analysis to assess the current state of the fungal UNITE database in terms of the two eukaryote nuclear ribosomal regions, Internal Transcribed Spacers 1 and 2 (ITS1 and ITS2), used in describing fungal diversity. Microbial diversity is often evaluated with amplicon-based high-throughput sequencing approaches, which is a target enrichment method that relies on the amplification of a specific target using particular primers before sequencing. Thus, the results are highly dependent on the quality of the primers used for amplification. The goal of this study is to validate if the mismatches of the primers on the binding sites of the targeted taxa could explain the differences observed when using either ITS1 or ITS2 in describing airborne fungal diversity. Hence, the choice of the pairs of primers for each barcode concur with a study comparing the performance of ITS1 and ITS2 in three occupational environments. The sequence length varied between the amplicons retrieved from the UNITE database using the pair of primers targeting ITS1 and ITS2. However, the database contains an equal number of unidentified taxa from ITS1 and ITS2 regions in the six taxonomic levels employed (phylum, class, order, family, genus, species). The chosen ITS primers showed differences in their ability to amplify fungal sequences from the UNITE database. Eleven taxa consisting of Trichocomaceae, Dothioraceae, Botryosphaeriaceae, Mucorales, Saccharomycetes, Pucciniomycetes, Ophiocordyceps, Microsporidia, Archaeorhizomycetes, Mycenaceae, and Tulasnellaceae showed large variations between the two regions. Note that members of the latter taxa are not all typical fungi found in the air. As no universal method is currently available to cover all the fungal kingdom, continuous work in designing primers, and particularly combining multiple primers targeting the ITS region is the best way to compensate for the biases of each one to get a larger view of the fungal diversity. MDPI 2021-01-30 /pmc/articles/PMC7911573/ /pubmed/33573216 http://dx.doi.org/10.3390/jof7020099 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mbareche, Hamza
Veillette, Marc
Bilodeau, Guillaume J.
In Silico Study Suggesting the Bias of Primers Choice in the Molecular Identification of Fungal Aerosols
title In Silico Study Suggesting the Bias of Primers Choice in the Molecular Identification of Fungal Aerosols
title_full In Silico Study Suggesting the Bias of Primers Choice in the Molecular Identification of Fungal Aerosols
title_fullStr In Silico Study Suggesting the Bias of Primers Choice in the Molecular Identification of Fungal Aerosols
title_full_unstemmed In Silico Study Suggesting the Bias of Primers Choice in the Molecular Identification of Fungal Aerosols
title_short In Silico Study Suggesting the Bias of Primers Choice in the Molecular Identification of Fungal Aerosols
title_sort in silico study suggesting the bias of primers choice in the molecular identification of fungal aerosols
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7911573/
https://www.ncbi.nlm.nih.gov/pubmed/33573216
http://dx.doi.org/10.3390/jof7020099
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