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Title:DNA metabarcoding uncovers fungal diversity of mixed airborne samples in Italy
Authors:ID Banchi, Elisa (Author)
ID Ametrano, Claudio Gennaro (Author)
ID Stanković, David (Author)
ID Verardo, Pierluigi (Author)
ID Moretti, Olga (Author)
ID Gabrielli, Francesca (Author)
ID Lazzarin, Stefania (Author)
ID Borney, Maria Francesca (Author)
ID Tassan, Francesca (Author)
ID Tretiach, Mauro (Author)
ID Pallavicini, Alberto (Author)
ID Muggia, Lucia (Author)
Files:.pdf PDF - Presentation file, download (2,84 MB)
MD5: AB2C9C9BC032DC4F0C583AFC6258CCE6
 
URL URL - Source URL, visit https://doi.org/10.1371/journal.pone.0194489
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo NIB - National Institute of Biology
Abstract:Fungal spores and mycelium fragments are particles which become and remain airborne and have been subjects of aerobiological studies. The presence and the abundance of taxa in aerobiological samples can be very variable and impaired by changeable climatic conditions. Because many fungi produce mycotoxins and both their mycelium fragments and spores are potential allergens, monitoring the presence of these taxa is of key importance. So far data on exposure and sensitization to fungal allergens are mainly based on the assessment of few, easily identifiable taxa and focused only on certain environments. The microscopic method used to analyze aerobiological samples and the inconspicuous fungal characters do not allow a in depth taxonomical identification. Here, we present a first assessment of fungal diversity from airborne samples using a DNA metabarcoding analysis. The nuclear ITS2 region was selected as barcode to catch fungal diversity in mixed airborne samples gathered during two weeks in four sites of North-Eastern and Central Italy. We assessed the taxonomic composition and diversity within and among the sampled sites and compared the molecular data with those obtained by traditional microscopy. The molecular analyses provide a tenfold more comprehensive determination of the taxa than the traditional morphological inspections. Our results prove that the metabarcoding analysis is a promising approach to increases quality and sensitivity of the aerobiological monitoring. The laboratory and bioinformatic workflow implemented here is now suitable for routine, high-throughput, regional analyses of airborne fungi.
Keywords:fungi, fungal spores, taxonomy, sequence databases
Publication status:Published
Publication version:Version of Record
Publication date:20.03.2018
Year of publishing:2018
Number of pages:str. 1-20
Numbering:Vol. 13, iss. 3
PID:20.500.12556/DiRROS-19641 New window
UDC:579
ISSN on article:1932-6203
DOI:10.1371/journal.pone.0194489 New window
COBISS.SI-ID:4655951 New window
Note:Nasl. z nasl. zaslona; Opis vira z dne 22. 3. 2018;
Publication date in DiRROS:24.07.2024
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Downloads:4
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Record is a part of a journal

Title:PloS one
Publisher:Public Library of Science
ISSN:1932-6203
COBISS.SI-ID:2005896 New window

Document is financed by a project

Funder:Other - Other funder or multiple funders
Funding programme:University of Trieste
Name:Finanziamenti di Ateneo per progetti di Ricerca scientifica
Acronym:FRA2016

Funder:Other - Other funder or multiple funders
Funding programme:Italian Government Commission with "Fondo Trieste"

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

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