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Data · dataset · 2026

The first environmental DNA-based inventory of soil fungal diversity in Ukraine - ITS-based occurrences

Listed in GBIF

This dataset presents the first national-scale, DNA metabarcoding-based record of soil fungal communities in Ukraine, compiled following FAIR data principles.

Description

It is derived from 225 topsoil samples collected across accessible regions of Ukraine (June–November 2023), spanning five ecoregions including Carpathian montane forests, mixed forests, forest-steppe, and Pontic steppe habitats. Soil DNA was amplified using universal fungal-specific primers (ITS3/ITS4) targeting the internal transcribed spacer (ITS2) rRNA gene region, sequenced on an Illumina NextSeq 2000 platform, and resolved into Operational Taxonomic Units (OTUs) using QIIME2.

We assigned taxonomy folowing two-step approach. First, we automatically assigned taxonomy using scikit-learn Naїve Bayes classifier with RESCRIPt tool tained against UNITE reference dataset (v10). Then, to control quality of taxonomic accuracy, 3366 OTU was manually checked by six taxonomic experts by manually pairwise alignement against reference databases using Mycobank and NCBI Nucleotide BLAST web tools.

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Occurrence records are provided for 14,029 OTUs belonging to Kingdom Fungi, alongside its reference sequences. This dataset extends the area of Europe densely covered by soil eDNA sampling more than 800 km eastward and represents the first unified, national-scale eDNA characterization of soil fungal diversity in Ukraine. By adhering to contemporary biodiversity data standards, it supports advanced spatial analyses, diversity hotspot identification, and evidence-based planning for post-war ecological restoration.

The structured, standards-compliant format is intended to facilitate reuse by a broad range of stakeholders — including local communities, protected area managers, environmental agencies and NGOs, and researchers — regardless of their prior expertise with soil microbiome data.[This dataset was processed using the GBIF Metabarcoding Data Toolkit.]

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From keywords
Life Sciences
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
GBIF341e5878-1075-40ac-bc52-b0fd7f693cb713 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · gbifconnector:gbif@1.0.0
concepts[field].local:field:life-sciencesmapping · gbifconnector:gbif@1.0.0
created_datesource · gbifconnector:gbif@1.0.0
descriptionsource · gbifconnector:gbif@1.0.0/description
licensesource · gbifconnector:gbif@1.0.0
publication_datesource · gbifconnector:gbif@1.0.0
spatialsource · gbifconnector:gbif@1.0.0
temporalsource · gbifconnector:gbif@1.0.0
titlesource · gbifconnector:gbif@1.0.0/title
updated_datesource · gbifconnector:gbif@1.0.0