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[COMPOSITION OF POPULATION OF DIPHTHERIA CAUSATIVE AGENT STRAINS IN RUSSIA].

L A Chagina, O Yu Borisova, L I Kafarskaya

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    |January 30, 2019
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    Summary
    This summary is machine-generated.

    Multilocus sequence typing (MLST) characterized the clonal composition of Corynebacterium diphtheriae strains in Russia. This method effectively monitors diphtheria strains, identifying epidemic significance and infection foci.

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    Area of Science:

    • Microbiology
    • Epidemiology
    • Genetics

    Background:

    • Corynebacterium diphtheriae is the causative agent of diphtheria.
    • Monitoring the genetic diversity of C. diphtheriae strains is crucial for understanding and controlling diphtheria outbreaks.
    • Previous studies have focused on phenotypic characteristics, but a deeper genetic analysis is needed.

    Purpose of the Study:

    • To characterize the clonal composition of Corynebacterium diphtheriae strains in Russia using MLST.
    • To evaluate the utility of MLST for monitoring diphtheria infection causative agent strains.
    • To identify novel sequence types and understand their relationship with phenotypic properties.

    Main Methods:

    • Study included C. diphtheriae strains isolated in Russia between 1957 and 2015.
    • Genotyping was performed using MLST based on sequencing of housekeeping gene fragments.
    • Sequence type (ST) identification followed PubMLST guidelines.

    Main Results:

    • A total of 36 sequence types (STs) were identified in Russia, including 27 known and 9 novel STs.
    • Dominant STs were ST25 (22%) and ST8 (18%).
    • A correlation was observed between phenotype (toxigenicity, biovar) and ST, indicating distinct genetic profiles for different strain types. Changes in clonal composition were observed over time.

    Conclusions:

    • MLST effectively characterizes the clonal composition of C. diphtheriae populations.
    • MLST is a valuable tool for monitoring diphtheria causative agents, detecting epidemiologically significant strains, and investigating infection foci.
    • The study highlights the dynamic nature of C. diphtheriae clonal composition during the diphtheria epidemic process.