Literature DB >> 33573216

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

Hamza Mbareche1,2, Marc Veillette3, Guillaume J Bilodeau4.   

Abstract

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.

Entities:  

Keywords:  ITS1; ITS2; UNITE; bioaerosols; database; fungi

Year:  2021        PMID: 33573216      PMCID: PMC7911573          DOI: 10.3390/jof7020099

Source DB:  PubMed          Journal:  J Fungi (Basel)        ISSN: 2309-608X


  19 in total

1.  Nuclear ribosomal internal transcribed spacer (ITS) region as a universal DNA barcode marker for Fungi.

Authors:  Conrad L Schoch; Keith A Seifert; Sabine Huhndorf; Vincent Robert; John L Spouge; C André Levesque; Wen Chen
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-27       Impact factor: 11.205

2.  Optimization of the annealing temperature for DNA amplification in vitro.

Authors:  W Rychlik; W J Spencer; R E Rhoads
Journal:  Nucleic Acids Res       Date:  1990-11-11       Impact factor: 16.971

3.  Towards a unified paradigm for sequence-based identification of fungi.

Authors:  Urmas Kõljalg; R Henrik Nilsson; Kessy Abarenkov; Leho Tedersoo; Andy F S Taylor; Mohammad Bahram; Scott T Bates; Thomas D Bruns; Johan Bengtsson-Palme; Tony M Callaghan; Brian Douglas; Tiia Drenkhan; Ursula Eberhardt; Margarita Dueñas; Tine Grebenc; Gareth W Griffith; Martin Hartmann; Paul M Kirk; Petr Kohout; Ellen Larsson; Björn D Lindahl; Robert Lücking; María P Martín; P Brandon Matheny; Nhu H Nguyen; Tuula Niskanen; Jane Oja; Kabir G Peay; Ursula Peintner; Marko Peterson; Kadri Põldmaa; Lauri Saag; Irja Saar; Arthur Schüßler; James A Scott; Carolina Senés; Matthew E Smith; Ave Suija; D Lee Taylor; M Teresa Telleria; Michael Weiss; Karl-Henrik Larsson
Journal:  Mol Ecol       Date:  2013-09-24       Impact factor: 6.185

Review 4.  Fungal Diversity Revisited: 2.2 to 3.8 Million Species.

Authors:  David L Hawksworth; Robert Lücking
Journal:  Microbiol Spectr       Date:  2017-07

5.  A next generation sequencing approach with a suitable bioinformatics workflow to study fungal diversity in bioaerosols released from two different types of composting plants.

Authors:  Hamza Mbareche; Marc Veillette; Laetitia Bonifait; Marie-Eve Dubuis; Yves Benard; Geneviève Marchand; Guillaume J Bilodeau; Caroline Duchaine
Journal:  Sci Total Environ       Date:  2017-06-09       Impact factor: 7.963

6.  Fungal bioaerosols in biomethanization facilities.

Authors:  Hamza Mbareche; Marc Veillette; Marie-Ève Dubuis; Bouchra Bakhiyi; Geneviève Marchand; Joseph Zayed; Jacques Lavoie; Guillaume J Bilodeau; Caroline Duchaine
Journal:  J Air Waste Manag Assoc       Date:  2018-08-27       Impact factor: 2.235

7.  An in silico approach for the evaluation of DNA barcodes.

Authors:  Gentile Francesco Ficetola; Eric Coissac; Stéphanie Zundel; Tiayyba Riaz; Wasim Shehzad; Julien Bessière; Pierre Taberlet; François Pompanon
Journal:  BMC Genomics       Date:  2010-07-16       Impact factor: 3.969

8.  High-coverage ITS primers for the DNA-based identification of ascomycetes and basidiomycetes in environmental samples.

Authors:  Hirokazu Toju; Akifumi S Tanabe; Satoshi Yamamoto; Hirotoshi Sato
Journal:  PLoS One       Date:  2012-07-12       Impact factor: 3.240

9.  Comparison and validation of some ITS primer pairs useful for fungal metabarcoding studies.

Authors:  Michiel Op De Beeck; Bart Lievens; Pieter Busschaert; Stéphan Declerck; Jaco Vangronsveld; Jan V Colpaert
Journal:  PLoS One       Date:  2014-06-16       Impact factor: 3.240

10.  Comparison of the performance of ITS1 and ITS2 as barcodes in amplicon-based sequencing of bioaerosols.

Authors:  Hamza Mbareche; Marc Veillette; Guillaume Bilodeau; Caroline Duchaine
Journal:  PeerJ       Date:  2020-02-17       Impact factor: 2.984

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  1 in total

1.  Surface fungal diversity and several mycotoxin-related genes' expression profiles during the Lunar Palace 365 experiment.

Authors:  Jianlou Yang; Zikai Hao; Lantao Zhang; Yuming Fu; Hong Liu
Journal:  Microbiome       Date:  2022-10-12       Impact factor: 16.837

  1 in total

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