Plant biodiversity assessment through pollen DNA metabarcoding in Natura 2000 habitats (Italian Alps)

Abstract Monitoring biodiversity is of increasing importance in natural ecosystems. Metabarcoding can be used as a powerful molecular tool to complement traditional biodiversity monitoring, as total environmental DNA can be analyzed from complex samples containing DNA of different origin. The aim of...

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Autores principales:	Kleopatra Leontidou, Despoina Vokou, Anna Sandionigi, Antonia Bruno, Maria Lazarina, Johannes De Groeve, Mingai Li, Claudio Varotto, Matteo Girardi, Maurizio Casiraghi, Antonella Cristofori
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e29dd059a28e4a25850ca32f3e88021d
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spelling	oai:doaj.org-article:e29dd059a28e4a25850ca32f3e88021d2021-12-02T15:15:44ZPlant biodiversity assessment through pollen DNA metabarcoding in Natura 2000 habitats (Italian Alps)10.1038/s41598-021-97619-32045-2322https://doaj.org/article/e29dd059a28e4a25850ca32f3e88021d2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-97619-3https://doaj.org/toc/2045-2322Abstract Monitoring biodiversity is of increasing importance in natural ecosystems. Metabarcoding can be used as a powerful molecular tool to complement traditional biodiversity monitoring, as total environmental DNA can be analyzed from complex samples containing DNA of different origin. The aim of this research was to demonstrate the potential of pollen DNA metabarcoding using the chloroplast trnL partial gene sequencing to characterize plant biodiversity. Collecting airborne biological particles with gravimetric Tauber traps in four Natura 2000 habitats within the Natural Park of Paneveggio Pale di San Martino (Italian Alps), at three-time intervals in 1 year, metabarcoding identified 68 taxa belonging to 32 local plant families. Metabarcoding could identify with finer taxonomic resolution almost all non-rare families found by conventional light microscopy concurrently applied. However, compared to microscopy quantitative results, Poaceae, Betulaceae, and Oleaceae were found to contribute to a lesser extent to the plant biodiversity and Pinaceae were more represented. Temporal changes detected by metabarcoding matched the features of each pollen season, as defined by aerobiological studies running in parallel, and spatial heterogeneity was revealed between sites. Our results showcase that pollen metabarcoding is a promising approach in detecting plant species composition which could provide support to continuous monitoring required in Natura 2000 habitats for biodiversity conservation.Kleopatra LeontidouDespoina VokouAnna SandionigiAntonia BrunoMaria LazarinaJohannes De GroeveMingai LiClaudio VarottoMatteo GirardiMaurizio CasiraghiAntonella CristoforiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Kleopatra Leontidou Despoina Vokou Anna Sandionigi Antonia Bruno Maria Lazarina Johannes De Groeve Mingai Li Claudio Varotto Matteo Girardi Maurizio Casiraghi Antonella Cristofori Plant biodiversity assessment through pollen DNA metabarcoding in Natura 2000 habitats (Italian Alps)
description	Abstract Monitoring biodiversity is of increasing importance in natural ecosystems. Metabarcoding can be used as a powerful molecular tool to complement traditional biodiversity monitoring, as total environmental DNA can be analyzed from complex samples containing DNA of different origin. The aim of this research was to demonstrate the potential of pollen DNA metabarcoding using the chloroplast trnL partial gene sequencing to characterize plant biodiversity. Collecting airborne biological particles with gravimetric Tauber traps in four Natura 2000 habitats within the Natural Park of Paneveggio Pale di San Martino (Italian Alps), at three-time intervals in 1 year, metabarcoding identified 68 taxa belonging to 32 local plant families. Metabarcoding could identify with finer taxonomic resolution almost all non-rare families found by conventional light microscopy concurrently applied. However, compared to microscopy quantitative results, Poaceae, Betulaceae, and Oleaceae were found to contribute to a lesser extent to the plant biodiversity and Pinaceae were more represented. Temporal changes detected by metabarcoding matched the features of each pollen season, as defined by aerobiological studies running in parallel, and spatial heterogeneity was revealed between sites. Our results showcase that pollen metabarcoding is a promising approach in detecting plant species composition which could provide support to continuous monitoring required in Natura 2000 habitats for biodiversity conservation.
format	article
author	Kleopatra Leontidou Despoina Vokou Anna Sandionigi Antonia Bruno Maria Lazarina Johannes De Groeve Mingai Li Claudio Varotto Matteo Girardi Maurizio Casiraghi Antonella Cristofori
author_facet	Kleopatra Leontidou Despoina Vokou Anna Sandionigi Antonia Bruno Maria Lazarina Johannes De Groeve Mingai Li Claudio Varotto Matteo Girardi Maurizio Casiraghi Antonella Cristofori
author_sort	Kleopatra Leontidou
title	Plant biodiversity assessment through pollen DNA metabarcoding in Natura 2000 habitats (Italian Alps)
title_short	Plant biodiversity assessment through pollen DNA metabarcoding in Natura 2000 habitats (Italian Alps)
title_full	Plant biodiversity assessment through pollen DNA metabarcoding in Natura 2000 habitats (Italian Alps)
title_fullStr	Plant biodiversity assessment through pollen DNA metabarcoding in Natura 2000 habitats (Italian Alps)
title_full_unstemmed	Plant biodiversity assessment through pollen DNA metabarcoding in Natura 2000 habitats (Italian Alps)
title_sort	plant biodiversity assessment through pollen dna metabarcoding in natura 2000 habitats (italian alps)
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/e29dd059a28e4a25850ca32f3e88021d
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Plant biodiversity assessment through pollen DNA metabarcoding in Natura 2000 habitats (Italian Alps)

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