Integrated eDNA metabarcoding and morphological analyses assess spatio-temporal patterns of airborne fungal spores

Fungi represent relevant allergens and plant pathogens that can disperse on long ranges, potentially producing severe consequences on public health and agriculture. Up to 11% of the bioaerosol particles are fungal spores and mycelium fragments. Estimation of fungal species diversity in time and spac...

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Autores principales:	Enrico Tordoni, Claudio G. Ametrano, Elisa Banchi, Silvia Ongaro, Alberto Pallavicini, Giovanni Bacaro, Lucia Muggia
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Aerobiology Co-correspondence analysis Detection efficiency Next-generation sequencing Sampling Species diversity Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/c9f26dac33a9455ba39e0599c2d4922d
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spelling	oai:doaj.org-article:c9f26dac33a9455ba39e0599c2d4922d2021-12-01T04:32:57ZIntegrated eDNA metabarcoding and morphological analyses assess spatio-temporal patterns of airborne fungal spores1470-160X10.1016/j.ecolind.2020.107032https://doaj.org/article/c9f26dac33a9455ba39e0599c2d4922d2021-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20309717https://doaj.org/toc/1470-160XFungi represent relevant allergens and plant pathogens that can disperse on long ranges, potentially producing severe consequences on public health and agriculture. Up to 11% of the bioaerosol particles are fungal spores and mycelium fragments. Estimation of fungal species diversity in time and space is decisive but may be biased by abiotic conditions and sampling methods. Traditional morphological analyses of fungal spores have been widely applied in aerobiology in the past, while recently eDNA metabarcoding can complement these studies. Here, we used both morphological analysis (spore count and taxon identification) and high-throughput sequencing to disentangle spatio-temporal variation of fungi across Northern and Central Italy and to evaluate the detection efficiency of the two approaches. Our results showed that eDNA metabarcoding detects about three times more genera and has a higher detection efficiency than the morphological analyses. However, the efficiency is high in both spore count and eDNA metabarcoding methods when the most abundant or the rarest genera are considered but it can substantially vary between the two approaches when moderately abundant genera are analyzed. Furthermore, morphological spore determination resulted in higher variance explained by PERMANOVA analysis with respect to eDNA metabarcoding (26% and 13%, respectively), which leads to a better spatio-temporal characterization of the fungal genera. As both morphological analyses and eDNA metabarcoding methods capture significant interactions between seasons and sites, they could be preferably used as complementing approaches to reliably study airborne fungal diversity and variation.Enrico TordoniClaudio G. AmetranoElisa BanchiSilvia OngaroAlberto PallaviciniGiovanni BacaroLucia MuggiaElsevierarticleAerobiologyCo-correspondence analysisDetection efficiencyNext-generation sequencingSamplingSpecies diversityEcologyQH540-549.5ENEcological Indicators, Vol 121, Iss , Pp 107032- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Aerobiology Co-correspondence analysis Detection efficiency Next-generation sequencing Sampling Species diversity Ecology QH540-549.5
spellingShingle	Aerobiology Co-correspondence analysis Detection efficiency Next-generation sequencing Sampling Species diversity Ecology QH540-549.5 Enrico Tordoni Claudio G. Ametrano Elisa Banchi Silvia Ongaro Alberto Pallavicini Giovanni Bacaro Lucia Muggia Integrated eDNA metabarcoding and morphological analyses assess spatio-temporal patterns of airborne fungal spores
description	Fungi represent relevant allergens and plant pathogens that can disperse on long ranges, potentially producing severe consequences on public health and agriculture. Up to 11% of the bioaerosol particles are fungal spores and mycelium fragments. Estimation of fungal species diversity in time and space is decisive but may be biased by abiotic conditions and sampling methods. Traditional morphological analyses of fungal spores have been widely applied in aerobiology in the past, while recently eDNA metabarcoding can complement these studies. Here, we used both morphological analysis (spore count and taxon identification) and high-throughput sequencing to disentangle spatio-temporal variation of fungi across Northern and Central Italy and to evaluate the detection efficiency of the two approaches. Our results showed that eDNA metabarcoding detects about three times more genera and has a higher detection efficiency than the morphological analyses. However, the efficiency is high in both spore count and eDNA metabarcoding methods when the most abundant or the rarest genera are considered but it can substantially vary between the two approaches when moderately abundant genera are analyzed. Furthermore, morphological spore determination resulted in higher variance explained by PERMANOVA analysis with respect to eDNA metabarcoding (26% and 13%, respectively), which leads to a better spatio-temporal characterization of the fungal genera. As both morphological analyses and eDNA metabarcoding methods capture significant interactions between seasons and sites, they could be preferably used as complementing approaches to reliably study airborne fungal diversity and variation.
format	article
author	Enrico Tordoni Claudio G. Ametrano Elisa Banchi Silvia Ongaro Alberto Pallavicini Giovanni Bacaro Lucia Muggia
author_facet	Enrico Tordoni Claudio G. Ametrano Elisa Banchi Silvia Ongaro Alberto Pallavicini Giovanni Bacaro Lucia Muggia
author_sort	Enrico Tordoni
title	Integrated eDNA metabarcoding and morphological analyses assess spatio-temporal patterns of airborne fungal spores
title_short	Integrated eDNA metabarcoding and morphological analyses assess spatio-temporal patterns of airborne fungal spores
title_full	Integrated eDNA metabarcoding and morphological analyses assess spatio-temporal patterns of airborne fungal spores
title_fullStr	Integrated eDNA metabarcoding and morphological analyses assess spatio-temporal patterns of airborne fungal spores
title_full_unstemmed	Integrated eDNA metabarcoding and morphological analyses assess spatio-temporal patterns of airborne fungal spores
title_sort	integrated edna metabarcoding and morphological analyses assess spatio-temporal patterns of airborne fungal spores
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/c9f26dac33a9455ba39e0599c2d4922d
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Integrated eDNA metabarcoding and morphological analyses assess spatio-temporal patterns of airborne fungal spores

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