eDNA-based occurrence dataset on fungi from forest monitoring plots in Northwestern Siberia
Citation
Filippova N, Zvyagina E, Ishmanov T, Rudykina E (2024). eDNA-based occurrence dataset on fungi from forest monitoring plots in Northwestern Siberia. Version 1.3. Yugra State University Biological Collection (YSU BC). Occurrence dataset https://doi.org/10.15468/92bmz3 accessed via GBIF.org on 2025-01-14.Description
During the monitoring of fungal communities at permanent plots in different types of forests in boreal taiga zone (https://doi.org/10.15468/ge1hkl ), soil and forest litter samples were collected for sequencing of nrITS region of fungal eDNA on NanoporeMinION platform.
A total of 46 samples were collected from 6 sites in different types of forest communities. At each site, 3 to 5 samples of each substrate (soil and litter) were collected. Sampling was conducted in August during the period of active fungal community development. The substrate were collected from several points located 10 meters apart. Within each point, a composite sample about 50 g was collected. Samples were frozen on the day of collection until subsequent total DNA extraction.
Prior to extraction, the substrate was dried in a drying oven at 40°C and ground to a powder using a homogenizer. Approximately 0.05 g of this sample was used for DNA extraction following the manufacturer's protocol (SileksMagNA). Subsequent sample preparation for sequencing on the Nanopore MinION platform was performed using the published protocol (dx.doi.org/10.17504/protocols.io.kxygx3jwkg8j/v1).
The obtained sequences were processed using QIIME2 (Quantitative Insights Into Microbial Ecology 2, version 2023.9) with the following parameters (blastn;2.6.0+;e-value cutoff: 0.001). Clustering was performed using the Blast+ algorithm with 99% similarity. For taxonomic assignment, the UNITE database (version 9.0 2022.10.16) was used.
Metabarcoding of the ITS region (Nanopore MinION) revealed about 2300 SHs and 730 Linnean species.
The dataset represents an occurrence table with the DNA-derived extension table based on guidelines (Abarenkov et al. 2023). The first table (Occurrence Core) has 29 fields to describe features of samples and observed taxonomic occurrences with their abundances (number of reads). The related DNA-derived data table contains sequences linked to each occurrence with their metadata.
Sampling Description
Study Extent
During the monitoring of fungal communities at permanent plots in different types of forests in boreal taiga zone (https://doi.org/10.15468/ge1hkl ), soil and forest litter samples were collected for the isolation and analysis of eDNA to study fungal community.Sampling
A total of 46 samples were collected from 6 sites with different types of forest communities. At each site, 3 to 5 samples of each substrate (soil and litter) were collected. Sampling was conducted in August during the period of active fungal community development. The samples were collected from five points located 10 meters apart. Within each point, a composite sample abou 50 g was collected from several sub-points. Samples were frozen on the day of collection until subsequent total DNA extraction.Quality Control
All field operations were made wearing gloves and the instruments (knife, scissors and tweezers when necessary) were sterilised between samples with bleach and alcohol according to recommendations (Tedersoo et al. 2022). Samples were wrapped in sterilised aluminium bags and labelled with permanent markers. Bags with samples were put in a cooling bag with a cooling agent immediately after sampling and transported to the laboratory to be frozen at −22°C within a few hours.Method steps
- Prior to extraction, the substrate was dried in a drying oven at 40°C and ground to a powder using a homogenizer. Approximately 0.05 g of this sample was used for DNA extraction following the manufacturer's protocol (SileksMagNA).
- The samples of extracted DNA were outsourced for processing by an independent company (Evrogen, Moscow). The quality of the obtained metagenomic DNA was checked by electrophoresis on an agarose gel. Quantification was carried out by measuring the concentration of DNA by Qubit 2, using the dsDNA HS reagent kit (ThermoFisher Scientific). Subsequent sample preparation for sequencing on the Nanopore MinION was performed using our published protocol (dx.doi.org/10.17504/protocols.io.kxygx3jwkg8j/v1).
- The obtained sequences were processed using QIIME2 (Quantitative Insights Into Microbial Ecology 2, version 2023.9) with the following parameters (blastn;2.6.0+;e-value cutoff: 0.001). Clustering was performed using the Blast+ algorithm with 99% similarity.
- For taxonomic assignment, the UNITE database (version 9.0 2022.10.16) was used.
- The permanent monitoring of larger fungi fruiting had been conducted in the same plots for 10 years (https://doi.org/10.15468/ge1hkl) and the results will be used for the following complex analysis of fungal community using molecular and classical approaches.
Taxonomic Coverages
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Fungirank: kingdom
Geographic Coverages
Bibliographic Citations
- Filippova N, Bulyonkova T (2017) The communities of terrestrial macrofungi in different forest types in vicinities of Khanty-Mansiysk (middle taiga zone of West Siberia). Biodiversity Data Journal 5: e20732. https://doi.org/10.3897/BDJ.5.e20732 - https://doi.org/10.3897/BDJ.5.e20732
- Abarenkov K, Andersson AF, Bissett A, Finstad AG, Fossøy F, Grosjean M, Hope M, Jeppesen TS, Kõljalg U, Lundin D, Nilsson RN, Prager M, Provoost D, Schigel D, Suominen S, Svenningsen C, Frøslev TG (2023) Publishing DNA-derived data through biodiversity data platforms, v1.3. Copenhagen: GBIF Secretariat. https://doi.org/10.35035/doc-vf1a-nr22. Accessed on: 2023-10-29. - https://doi.org/10.35035/doc-vf1a-nr22
- Tedersoo L, Bahram M, Zinger L, Nilsson RH, Kennedy P, Yang T, Anslan S, Mikryukov V (2022) Best practices in metabarcoding of fungi: From experimental design to results. Molecular Ecology 31 (10): 2769‑2795. https://doi.org/10.1111/mec.16460 - https://doi.org/10.1111/mec.16460
Contacts
Nina Filippovaoriginator
position: researcher
Yugra State University
Khanty-Mansiysk
RU
userId: https://orcid.org/0000-0002-9506-0991
Elena Zvyagina
originator
position: researcher
Yugra State University
RU
userId: https://orcid.org/0000-0003-2063-4847
Tagir Ishmanov
originator
position: engineer
Yugra State University
RU
Elena Rudykina
originator
position: engineer
Yugra State University
RU
Nina Filippova
metadata author
position: researcher
Yugra State University
Khanty-Mansiysk
RU
userId: https://orcid.org/0000-0002-9506-0991
Nina Filippova
administrative point of contact
position: researcher
Yugra State University
Khanty-Mansiysk
RU
email: filippova.courlee.nina@gmail.com
userId: https://orcid.org/0000-0002-9506-0991