Phables: from fragmented assemblies to high-quality bacteriophage genomes

Area of Science:

• Microbiology
• Bioinformatics
• Genomics

Background:

• Bacteriophages (phages) are crucial for modulating microbial communities in various environments.
• High-quality phage genome sequences are vital for understanding phage biology, comparative genomics, and developing phage-based diagnostics.
• Current viral identification tools struggle with fragmented phage genomes from metagenomic data, hindering novel phage discovery.

Approach:

• Phables is a novel computational method designed to reconstruct complete phage genomes from fragmented viral metagenome assemblies.
• It identifies phage-specific components within assembly graphs, models them as flow networks, and employs graph algorithms for genomic path resolution.
• The tool leverages flow decomposition techniques to accurately delineate individual phage genomes.

Key Points:

• Phables demonstrates superior performance, recovering over 49% more high-quality phage genomes compared to existing tools.
• It accurately resolves closely related phage genomes with over 99% average nucleotide identity, a capability lacking in current methods.
• The method effectively addresses the challenge of fragmented viral genomes in metagenomic datasets.

Conclusions:

• Phables significantly enhances the identification and characterization of novel phages from complex environmental samples.
• This advancement facilitates deeper insights into phage diversity and ecological roles.
• The tool is publicly available on GitHub, promoting wider adoption and further research in phage genomics.