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Multilocus sequence typing scheme for the characterization of 936-like phages infecting Lactococcus lactis
Maxim Moisan1, Sylvain Moineau
1Département de Biochimie, de Microbiologie, et de Bio-informatique, Faculté des Sciences et de Génie, Groupe de Recherche en Écologie Buccale, Félix d’Hérelle Reference Center for Bacterial Viruses, Université Laval, Québec City, Québec, Canada.
A new multilocus sequence typing (MLST) scheme effectively characterizes 936-like Lactococcus lactis phages, aiding rapid identification and control of these costly dairy contaminants.
Area of Science:
- Dairy Microbiology
- Bacteriophage Genomics
- Molecular Typing
Background:
- Lactococcus lactis phage infections pose significant economic threats to the dairy industry by disrupting fermentation and compromising product safety.
- Emergence of new virulent phages necessitates rapid identification methods for effective antiphage strategies.
Purpose of the Study:
- To develop and validate a multilocus sequence typing (MLST) scheme for characterizing 936-like phages, the predominant group infecting L. lactis.
- To establish a standardized method for routine phage identification within dairy processing environments.
Main Methods:
- Targeted five conserved genomic regions (packaging, morphogenesis, lysis modules) for MLST analysis.
- Analyzed 100 phages from diverse geographical origins (1971-2010) using PCR and sequence analysis.
- Compared MLST data with Restriction Fragment Length Polymorphism (RFLP) patterns.
Main Results:
- The MLST scheme demonstrated high discriminatory power, identifying 93 distinct sequence types among the 100 phages analyzed.
- The lys gene locus (endolysin) was most discriminative (65 alleles), while the mcp gene locus (major capsid protein) was most conserved (54 alleles).
- Phylogenetic analysis revealed strong correlation between sequence types and phage host range, suggesting clonal evolution.
Conclusions:
- The developed MLST scheme provides an efficient and highly discriminative tool for characterizing 936-like Lactococcus lactis phages.
- This method facilitates rapid identification of emerging phages, enabling timely adaptation of control measures in the dairy industry.
- A public database for the MLST system is available at http://pubmlst.org/bacteriophages/ for broader research use.
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