Peer-reviewedCC BY 4.0Scientific Data
The FunAqua dataset of global fungal biodiversity in aquatic ecosystems
Abstract
Advances in high-throughput DNA sequencing technologies have accelerated research on aquatic microorganisms, their diversity, and ecological functions. This has also significantly advanced research on fungi that shape aquatic ecosystems and food webs. Here, we present the FunAqua dataset, which describes global fungal biodiversity in aquatic ecosystems based on eukaryotic long-read metabarcoding data from 1,076 sediment and 1,299 filtered water samples collected across 1,452 sampling sites in 87 countries. We targeted the internal transcribed spacer (ITS) region. In total, 50,152 fungal OTUs were recorded. The sequencing data is accompanied by comprehensive sample metadata, including physicochemical data of water and sediments. The FunAqua dataset provides a new resource for analysing and better understanding the biodiversity of fungi in different types of aquatic habitats across biogeographical regions. The dataset described in this data paper will be periodically updated with additional metabarcoding data.
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BibTeX
@article{prins2026funaqua,
title = {{The FunAqua dataset of global fungal biodiversity in aquatic ecosystems}},
author = {V. Prins and L. Tedersoo and V. Mikryukov and P. Paiste and M. Sepp and H. Grossart and V. Kisand and A. Laas and H. Tammert and Kessy Abarenkov and A. Agan and H. Agasild and R. Agha and J. Alatalo and J. Alvarez-Manjarrez and A. Ameryk and J. Anderson and S. Anslan and A. Antão-Geraldes and A. Antosiak and J. Arce Funck and R. Arias-Real and M. Ariyan and M. Bahram and S. Bansal and R. Bao and S. Beck and P. Bernotas and N. Berry and S. Bertilsson and C. Birnbaum and M. Bonk and A. Borges and F. Botez and F. Brearley and J. Brookes and D. Bruno and A. Budzyńska and G. Bullerjahn and M. Bundschuh and B. Calheiros-Nogueira and R. Calore and C. Capelli and L. Caputo and R. Carballeira and I. Chronis and F. Čiampor and Z. Čiamporová-Zaťovičová and D. Craig and Z. Csabai and N. Cukrov and L. da Silva and E. de Eyto and J. Delgado and I. Dimante-Deimantovica and Isabelle Domaizon and R. Dondajewska-Pielka and T. Dornan and R. Drenkhan and K. Drouillard},
journal = {Scientific Data},
year = {2026},
month = sep,
doi = {10.1038/s41597-026-07729-8},
url = {https://hal.inrae.fr/hal-05762215v1},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - The FunAqua dataset of global fungal biodiversity in aquatic ecosystems
AU - V. Prins
AU - L. Tedersoo
AU - V. Mikryukov
AU - P. Paiste
AU - M. Sepp
AU - H. Grossart
AU - V. Kisand
AU - A. Laas
AU - H. Tammert
AU - Kessy Abarenkov
AU - A. Agan
AU - H. Agasild
AU - R. Agha
AU - J. Alatalo
AU - J. Alvarez-Manjarrez
AU - A. Ameryk
AU - J. Anderson
AU - S. Anslan
AU - A. Antão-Geraldes
AU - A. Antosiak
AU - J. Arce Funck
AU - R. Arias-Real
AU - M. Ariyan
AU - M. Bahram
AU - S. Bansal
AU - R. Bao
AU - S. Beck
AU - P. Bernotas
AU - N. Berry
AU - S. Bertilsson
AU - C. Birnbaum
AU - M. Bonk
AU - A. Borges
AU - F. Botez
AU - F. Brearley
AU - J. Brookes
AU - D. Bruno
AU - A. Budzyńska
AU - G. Bullerjahn
AU - M. Bundschuh
AU - B. Calheiros-Nogueira
AU - R. Calore
AU - C. Capelli
AU - L. Caputo
AU - R. Carballeira
AU - I. Chronis
AU - F. Čiampor
AU - Z. Čiamporová-Zaťovičová
AU - D. Craig
AU - Z. Csabai
AU - N. Cukrov
AU - L. da Silva
AU - E. de Eyto
AU - J. Delgado
AU - I. Dimante-Deimantovica
AU - Isabelle Domaizon
AU - R. Dondajewska-Pielka
AU - T. Dornan
AU - R. Drenkhan
AU - K. Drouillard
PY - 2026
DA - 2026/09/24
JO - Scientific Data
DO - 10.1038/s41597-026-07729-8
UR - https://hal.inrae.fr/hal-05762215v1
AB - Advances in high-throughput DNA sequencing technologies have accelerated research on aquatic microorganisms, their diversity, and ecological functions. This has also significantly advanced research on fungi that shape aquatic ecosystems and food webs. Here, we present the FunAqua dataset, which describes global fungal biodiversity in aquatic ecosystems based on eukaryotic long-read metabarcoding data from 1,076 sediment and 1,299 filtered water samples collected across 1,452 sampling sites in 87 countries. We targeted the internal transcribed spacer (ITS) region. In total, 50,152 fungal OTUs were recorded. The sequencing data is accompanied by comprehensive sample metadata, including physicochemical data of water and sediments. The FunAqua dataset provides a new resource for analysing and better understanding the biodiversity of fungi in different types of aquatic habitats across biogeographical regions. The dataset described in this data paper will be periodically updated with additional metabarcoding data.
SN - 2052-4463
ER -