bactgeneSHOW

bactgeneSHOW analyzes bacterial genomic sequences to detect and annotate genes and to characterize metabolic pathways, stress-response determinants, and biofilm-related loci in bacteria such as Lactobacillus sakei for studies in food safety and biopreservation.

Key Features:

• Gene Prediction and Annotation: Identifies and annotates genes in bacterial genomes, exemplified by predicting 1,883 genes on the 1,884,661-base-pair circular chromosome of Lactobacillus sakei strain 23K.
• Metabolic Repertoire Analysis: Characterizes specialized metabolic pathways, including purine nucleoside scavenging, relevant for survival and competitiveness in environments such as raw meat products.
• Stress Response Genes Identification: Detects genes associated with robustness under fluctuating redox states and oxygen levels encountered during food processing.
• Biofilm Formation and Cellular Aggregation: Identifies genes potentially responsible for biofilm formation and cellular aggregation that contribute to colonization of surfaces like meat products.

Scientific Applications:

• Biopreservation and Food Safety: Analyzes genetic determinants of bacterial survival and competitiveness on food surfaces to inform biopreservation strategies and food-safety assessments.
• Bacterial Adaptation Studies: Provides a framework to investigate how bacteria adapt to environments such as raw meat and fish by linking gene content to ecological traits.
• Biotechnological Innovation: Enables discovery of bacterial traits and metabolic capabilities that can be leveraged for applications in food processing and preservation.

Methodology:

Uses advanced bioinformatics techniques and integrates data from high-throughput sequencing technologies to analyze bacterial genomes and predict gene functions and metabolic pathways.