phyloBARCODER: A Web Tool for Phylogenetic Classification of Eukaryote Metabarcodes Using Custom Reference Databases

Area of Science:

• Bioinformatics
• Genomics
• Molecular Biology

Background:

• Metabarcoding enables species identification from environmental DNA.
• Current similarity-based methods require exact sequence matches, limiting accuracy.
• Phylogenetic context is crucial for robust DNA sequence identification.

Purpose of the Study:

• To introduce phyloBARCODER, a novel web tool for species-level DNA sequence identification.
• To enhance the accuracy of metabarcoding by incorporating phylogenetic analysis.
• To provide clear explanations for sequence classification and species assignment.

Main Methods:

• Development of the phyloBARCODER web tool.
• Estimation of phylogenetic trees using uploaded DNA sequences and reference databases.
• Utilizing a comprehensive database of eukaryotic mitochondrial gene sequences (Version 1).
• Enabling user-uploaded custom databases for specialized identification (e.g., ITS, rbcL).

Main Results:

• phyloBARCODER accurately identifies species and classifications of query DNA sequences.
• The tool can associate anonymous sequences with specific species or populations within a phylogenetic framework.
• Phylogenetic context improves identification accuracy compared to similarity-based approaches.

Conclusions:

• phyloBARCODER offers a significant advancement in DNA metabarcoding for species identification.
• The tool's phylogenetic approach provides more accurate and detailed sequence classification.
• User-customizable databases enhance phyloBARCODER's versatility for diverse research needs.