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DAnIEL: A User-Friendly Web Server for Fungal ITS Amplicon Sequencing Data.

Daniel Loos¹, Lu Zhang¹, Christine Beemelmanns²

¹Systems Biology and Bioinformatics Group, Leibniz Institute for Natural Product Research and Infection Biology, Jena, Germany.

Frontiers in Microbiology

|September 6, 2021

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The DAnIEL web server offers comprehensive analysis of the human mycobiome, aiding research into fungal communities. This tool facilitates the study of fungi, unlike existing bacterial analysis tools.

Area of Science:

Microbiology
Bioinformatics
Computational Biology

Background:

Humans host trillions of microbes, including fungi, crucial for development and physiology.
While numerous tools exist for bacterial sequence analysis, fungal microbiome analysis tools are underdeveloped.

Purpose of the Study:

To present DAnIEL, a novel web server for comprehensive human mycobiome analysis.
To provide tools for translating raw sequencing reads, integrating statistical analysis, and comparing datasets with public archives.

Main Methods:

Development of a web server integrating data processing, statistical analysis, machine learning, and a curated database.
Utilizing 1,266 Internal transcribed spacers (ITS) samples from the Sequence Read Archive for validation.
Demonstrating the server's utility on large-scale datasets and comparing human skin fungal communities with soil sites.

Keywords:

ITS fungi metagenomics mycobiome web server

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Main Results:

The DAnIEL web server successfully processed large-scale Internal transcribed spacers (ITS) datasets.
The study revealed distinct fungal community differences between human skin and soil environments.
The server enables high-standard figure generation and data table creation from raw sequencing reads.

Conclusions:

DAnIEL significantly advances the analysis of the human mycobiome.
The tool facilitates comparative studies between different environments and host-associated sites.
This platform supports the growing field of fungal microbiome research.