Novel insights in cryptic diversity of snow and glacier ice algae communities combining 18S rRNA gene and ITS2 amplicon sequencing.

ITS2 secondary structure cryosphere eDNA glacier ice algae next generation sequencing snow algae species delimitation

Journal

FEMS microbiology ecology
ISSN: 1574-6941
Titre abrégé: FEMS Microbiol Ecol
Pays: England
ID NLM: 8901229

Informations de publication

Date de publication:
13 Nov 2023
Historique:
received: 20 04 2023
revised: 13 10 2023
accepted: 23 10 2023
medline: 27 11 2023
pubmed: 26 10 2023
entrez: 26 10 2023
Statut: ppublish

Résumé

Melting snow and glacier surfaces host microalgal blooms in polar and mountainous regions. The aim of this study was to determine the dominant taxa at the species level in the European Arctic and the Alps. A standardized protocol for amplicon metabarcoding using the 18S rRNA gene and ITS2 markers was developed. This is important because previous biodiversity studies have been hampered by the dominance of closely related algal taxa in snow and ice. Due to the limited resolution of partial 18S rRNA Illumina sequences, the hypervariable ITS2 region was used to further discriminate between the genotypes. Our results show that red snow was caused by the cosmopolitan Sanguina nivaloides (Chlamydomonadales, Chlorophyta) and two as of yet undescribed Sanguina species. Arctic orange snow was dominated by S. aurantia, which was not found in the Alps. On glaciers, at least three Ancylonema species (Zygnematales, Streptophyta) dominated. Golden-brown blooms consisted of Hydrurus spp. (Hydrurales, Stramenophiles) and these were mainly an Arctic phenomenon. For chrysophytes, only the 18S rRNA gene but not ITS2 sequences were amplified, showcasing how delicate the selection of eukaryotic 'universal' primers for community studies is and that primer specificity will affect diversity results dramatically. We propose our approach as a 'best practice'.

Identifiants

pubmed: 37880981
pii: 7330195
doi: 10.1093/femsec/fiad134
pmc: PMC10659120
pii:
doi:

Substances chimiques

RNA, Ribosomal, 18S 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Austrian Science Fund
ID : P34073

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of FEMS.

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Auteurs

Daniel Remias (D)

Paris Lodron University of Salzburg, Department of Ecology and Biodiversity, Hellbrunnerstr. 34, 5020 Salzburg, Austria.
University of Applied Sciences Upper Austria, Stelzhamerstr. 23, 4600 Wels, Austria.

Lenka Procházková (L)

Charles University, Faculty of Science, Department of Ecology, Viničná 7, 128 44 Praha, Czech Republic.

Linda Nedbalová (L)

Charles University, Faculty of Science, Department of Ecology, Viničná 7, 128 44 Praha, Czech Republic.

Liane G Benning (LG)

German Research Centre for Geoscience, GFZ, 14473 Potsdam, Germany.
Department of Earth Sciences, Freie Universität Berlin, 12249 Berlin, Germany.

Stefanie Lutz (S)

German Research Centre for Geoscience, GFZ, 14473 Potsdam, Germany.

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Classifications MeSH