Chapurlat, Elodie
- Department of Ecology, Swedish University of Agricultural Sciences
Research article2024Peer reviewedOpen access
Global Spore Sampling Project: A global, standardized dataset of airborne fungal DNA
Ovaskainen, Otso; Abrego, Nerea; Furneaux, Brendan; Hardwick, Bess; Somervuo, Panu; Palorinne, Isabella; Andrew, Nigel R.; Babiy, Ulyana V.; Bao, Tan; Bazzano, Gisela; Bondarchuk, Svetlana N.; Bonebrake, Timothy C.; Brennan, Georgina L.; Bret-Harte, Syndonia; Bassler, Claus; Cagnolo, Luciano; Cameron, Erin K.; Chapurlat, Elodie; Creer, Simon; D'Acqui, Luigi P.;
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Abstract
Novel methods for sampling and characterizing biodiversity hold great promise for re-evaluating patterns of life across the planet. The sampling of airborne spores with a cyclone sampler, and the sequencing of their DNA, have been suggested as an efficient and well-calibrated tool for surveying fungal diversity across various environments. Here we present data originating from the Global Spore Sampling Project, comprising 2,768 samples collected during two years at 47 outdoor locations across the world. Each sample represents fungal DNA extracted from 24 m(3) of air. We applied a conservative bioinformatics pipeline that filtered out sequences that did not show strong evidence of representing a fungal species. The pipeline yielded 27,954 species-level operational taxonomic units (OTUs). Each OTU is accompanied by a probabilistic taxonomic classification, validated through comparison with expert evaluations. To examine the potential of the data for ecological analyses, we partitioned the variation in species distributions into spatial and seasonal components, showing a strong effect of the annual mean temperature on community composition.
Published in
Scientific Data
2024, volume: 11, number: 1, article number: 561
Publisher: NATURE PORTFOLIO
SLU Authors
Kerdraon, Deirdre
- Department of Ecology, Swedish University of Agricultural Sciences
- Department of Ecology, Swedish University of Agricultural Sciences
Rogers, Hanna
- Department of Ecology, Swedish University of Agricultural Sciences
- Department of Ecology, Swedish University of Agricultural Sciences
Uscka-Perzanowska, Maria
- Department of Ecology, Swedish University of Agricultural Sciences
- Department of Ecology, Swedish University of Agricultural Sciences
Roslin, Tomas
- Department of Ecology, Swedish University of Agricultural Sciences
- University of Helsinki
- Department of Ecology, Swedish University of Agricultural Sciences
UKÄ Subject classification
Ecology
Bioinformatics (Computational Biology)
Publication identifier
- DOI: https://doi.org/10.1038/s41597-024-03410-0
Permanent link to this page (URI)
https://res.slu.se/id/publ/133122