GAMMA

GAMMA evaluates protein-coding identity to identify and annotate mutations in microbial genomes and assess their functional implications for phenotypes such as antimicrobial resistance and virulence.

Key Features:

• Protein Coding-Level Identity: Evaluates gene matches using protein-coding sequences and amino acid changes rather than nucleotide percent identity to emphasize functional impact.
• Gene Call Classification and Annotation: Generates detailed classifications such as mutant and truncation types and provides translated annotations including amino acid substitutions (e.g., Y190S) and truncations at specified residues (e.g., residue 110).
• Versatility Across Databases: Applies protein-level matching against arbitrary gene reference databases to identify antimicrobial resistance genes and virulence factors.
• Speed and Efficiency: Performs rapid processing of large genome sets and has been reported to outperform three other tools in accurately calling antimicrobial resistance genes.

Scientific Applications:

• Antimicrobial resistance gene detection: Identifies and annotates amino acid changes in resistance genes that can influence resistance phenotypes.
• Virulence factor annotation: Detects substitutions and truncations in virulence-associated genes that may alter pathogenicity.
• Functional mutation interpretation: Annotates mutations affecting key functional regions such as substrate binding sites or enzyme active sites to inform phenotypic consequences.

Methodology:

Compares protein-coding sequences to reference gene databases using protein-level identity rather than nucleotide percent identity and outputs gene-call classifications and translated annotations (e.g., amino acid substitutions such as Y190S and truncations at residue 110).