Multiple graphical views for automatically generating SQL for the MycoDiversity DB; making fungal biodiversity...

Area of Science:

• Mycology
• Ecology
• Bioinformatics

Background:

• Fungi exhibit high diversity across diverse environments.
• Understanding fungal biodiversity drivers and spatial variation is crucial.
• Metabarcoding advances fungal community observation but data is fragmented and inaccessible.

Purpose of the Study:

• To develop a user interface for direct access and retrieval of fungal biodiversity data.
• To integrate geo-location, taxonomic, and environmental data for fungal species.
• To facilitate the use of public DNA sequencing data for fungal biodiversity research.

Main Methods:

• Development of the MycoDiversity DataBase User Interface.
• Integration of geo-location, taxonomic names, and environmental features.
• Implementation of interactive topological maps and hierarchical trees for data exploration.
• SQL query generation for direct DNA sequencing data access.

Main Results:

• The MycoDiversity DataBase User Interface provides accessible fungal biodiversity data.
• Graphical views reveal data components like geo-location, taxonomy, and environment.
• Interactive tools enable SQL query creation for data retrieval.
• Search results are presented in downloadable, configurable tables.

Conclusions:

• The MycoDiversity DataBase User Interface enhances accessibility of fungal biodiversity data.
• It supports researchers and stakeholders in utilizing metabarcoding studies for biodiversity assessment.
• This tool bridges the gap between raw sequencing data and actionable biodiversity insights.