Metaxa2 Database Builder: enabling taxonomic identification from metagenomic or metabarcoding data using any genetic...

Area of Science:

• Genomics
• Bioinformatics
• Ecology

Background:

• Accurate taxonomic identification of DNA sequences is crucial for biodiversity research using metagenomics and metabarcoding.
• Existing genetic markers and software have limitations in covering all biological kingdoms, hindering comprehensive diversity studies.
• Current tools are often optimized for ribosomal RNA genes, limiting their application to other genetic markers.

Purpose of the Study:

• To update the Metaxa2 software to enable taxonomic classification using any genetic marker.
• To enhance the utility of Metaxa2 for diverse DNA metabarcoding and metagenomic applications.
• To provide a flexible tool for analyzing DNA sequence data across various biological groups.

Main Methods:

• The Metaxa2 software was updated to incorporate the Metaxa2 Database Builder.
• The updated software was evaluated using 11 commonly used DNA barcoding regions.
• The performance was assessed based on the quality of input taxonomy and sequence data.

Main Results:

• The updated Metaxa2 successfully enables the use of any genetic marker for taxonomic classification.
• Performance varied across different genetic markers, but satisfactory results were achieved with high-quality data.
• The Metaxa2 Database Builder demonstrated satisfactory performance on 11 common barcoding regions.

Conclusions:

• Metaxa2's updated functionality allows for broader application in biodiversity research by supporting diverse genetic markers.
• High-quality input data is essential for achieving accurate taxonomic classifications with Metaxa2.
• This advancement facilitates more comprehensive biodiversity assessments across a wider range of organisms.