SpacePHARER

SpacePHARER predicts phage-host interactions by matching CRISPR spacers to phage genomes at the protein level to identify historical and potential bacteriophage–host relationships.

Key Features:

• De novo phage-host prediction: Implements de novo prediction of phage-host pairs from CRISPR spacer data.
• Protein-level matching: Compares CRISPR spacers with phage genomes using protein-level alignment rather than nucleotide-only comparison.
• Optimized scoring for short sequences: Employs optimized scoring mechanisms to increase sensitivity for very short spacer-derived sequences.
• Evidence integration: Integrates evidence from multiple spacer-phage matches to strengthen predictions.
• False-positive controls: Implements stringent controls to minimize false positives in match reporting.
• Dataset compatibility: Applies to genomic and metagenomic datasets for searching spacer-phage relationships.
• Primary input: Uses CRISPR spacers, short DNA sequences derived from bacteriophages and incorporated into bacterial genomes, as the primary evidence for host assignment.
• Comprehensive phage searches: Searches comprehensive lists of CRISPR spacers against complete phage genomes.

Scientific Applications:

• Microbial ecology: Maps phage-host relationships to study microbial community structure and dynamics.
• Evolutionary biology: Infers historical phage-host interactions to investigate coevolution and evolutionary processes.
• Biotechnology: Identifies phage-host pairs relevant for pathogen control strategies and development of novel therapeutic agents.
• Phage-host relationship elucidation: Enables reconstruction of historical and potential interactions between bacteriophages and bacterial hosts.

Methodology:

Compares CRISPR spacers to phage genomes at the protein level, uses optimized scoring mechanisms for very short sequences, integrates multiple spacer-phage matches, and applies stringent controls to reduce false positives while searching comprehensive spacer lists against complete phage genomes.