The Oxford Nanopore Technologies’ ITS amplicon sequencing method can be used to profile complex fungal communities. This post describes a new fungal dataset release, using newly released ITS Primers included in the Microbial Amplicon Barcoding Kit 24 V14 (SQK-MAB114.24). The dataset was generated from the ATCC Mycobiome Genomic DNA Mix following the Microbial Amplicon Barcoding protocol, and sequenced on MinION Flow Cells on a GridION device.
The fungal mock community comprises an even mix of ten fungal strains, including: Aspergillus fumigatus, Cryptococcus neoformans, Trichophyton interdigitale, Penicillium chrysogenum, Fusarium keratoplasticum, Candida albicans, Nakaseomyces glabratus, Malassezia globosa, Saccharomyces cerevisiae and Cutaneotrichosporon dermatis. This dataset provides a valuable resource for evaluating fungal community analysis methods. This is illustrated in the supplied analysis example, where the data are processed with the EPI2ME wf-16s workflow.
Detail | Description |
---|---|
Sample Name | ATCC Mycobiome Genomic DNA Mix (MSA-1010) |
Organism | Fungi |
Molecule Type | Amplicon DNA |
Sample Type | gDNA |
Biological replicates | 3 |
Flow Cell replicates | 1 |
Sample source | Mycobiome Genomic DNA Mix |
Sample preparation was performed according to the Microbial Amplicon Barcoding Kit 24 V14 Protocol published on the Oxford Nanopore Technologies website.
Detail | Description |
---|---|
Library Prep | Microbial Amplicon Barcoding Kit 24 V14 Protocol |
Kit | SQK-MAB114.24 |
Further preparation information such as sample storage suggestions can be found on the Oxford Nanopore Website.
Sequence data was generated using the following configuration:
Detail | Description |
---|---|
Flow Cell | FLO-MIN114 |
Device | GridION |
Chemistry | R10.4.1 |
Basecall Model | HAC v5.0.0 |
MinKNOW Version | MinKNOW 25.03.7 |
Dorado Version (rebasecalled) | v1.1.1 |
The dataset is available for anonymous download, without login, from a public Amazon Web Services S3 bucket. The bucket is part of the Open Data on AWS project enabling sharing and analysis of a wide range of data. The data can be downloaded with the AWS CLI command:
aws s3 sync --no-sign-request s3://ont-open-data/fungal_ITS_2025.09 fungal_ITS_2025.09
See the tutorials page for information on downloading the dataset.
You can also browse and download the files in your web browser courtesy of 42basepairs.
Folder name | Size | Description |
---|---|---|
raw | 38 GB | POD5 files |
basecalls | 7.2 GB | FASTQ files |
analysis | 3.4 GB | Workflow outputs |
Analysis outputs are available. The analysis results are located in the S3 bucket under the prefix:
s3://ont-open-data/fungal_ITS_2025.09/analysis
EPI2ME workflows used to generate analysis outputs:
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