RUCS

RUCS identifies unique core sequences and designs and validates PCR primer pairs for specific detection of genetic markers in genomic datasets.

Key Features:

• Automated identification: Compares positive genome datasets against negative datasets to pinpoint unique core sequences.
• Primer pair design: Generates potential PCR primer pairs targeting identified unique core sequences.
• In silico validation: Performs in silico PCR simulation to assess primer specificity and predicted amplicon behavior.
• Enhanced sensitivity: Demonstrated a 6.5-20 fold increase in sensitivity for identifying unique core sequences compared with ssGeneFinder.
• Experimental validation: Successfully designed primer pairs that detected the mcr-1 colistin resistance gene, with three predicted pairs producing correct amplicons in positive samples and no amplification in negative controls.

Scientific Applications:

• Genomic epidemiology: Rapid identification of specific genetic markers in whole-genome sequenced strains for surveillance and outbreak analysis.
• Microbial genomics: Detection and tracking of resistance genes such as mcr-1 across bacterial populations.
• Comparative genomics: Identification of unique core sequences for marker development, strain typing, and comparative analyses.

Methodology:

Comparative analysis of positive and negative genome datasets to identify unique core sequences, generation of candidate PCR primer pairs for those sequences, and validation via in silico PCR simulation.