Candida parapsilosis Infection:AMultilocus Microsatellite Genotyping-Based Survey Demonstrating an Outbreak in Hospitalized Patients

Teresa Maria Assunta Fasciana, Cinzia Cala', Anna Giammanco, Paola Di Carlo, Ignazio Fontana, Stefano Reale, Anna Giammanco

Risultato della ricerca: Articlepeer review

Abstract

Microsatellite analysis identifies specific genotypes and the genetic relationship between strains.Our objective was to analyze the genotypes of C. parapsilosis strains isolated on different wards of aTertiary-Referral University Center. We evaluated 70 C. parapsilosis strains in total, isolated from samples of patientsadmitted to five different wards over two years (January 2015-December 2016). Eight microsatellite markerswere selected, and two multiplex PCR assays were set up for microsatellite analysis. The 70 strains,examined at eight microsatellite loci, showed 46 different multilocus genotypes profiles. A total of 74 alleleswere detected, with an average of 9.25 alleles per locus. The most variable loci were CP6 and CP4, with20 and 15 alleles, respectively. Four clusters were detected in four out of five wards. A significant clusterthat involved 16 patients in the General Surgery department was also found in two patients who had beentransferred to the General Medicine ward. Two multiplex PCRs allowed us to minimize costs, define genotypesand study the isolates’ genetic diversity with extreme accuracy, demonstrating the high discriminativepower of the microsatellite markers. Molecular epidemiology constitutes an appropriate tool for evaluatinghorizontal transmission of C. parapsilosis in different clinical settings. Microsatellite genotyping and the utilizationof Bruvo’s genetic distance are suitable for detecting and appraising nosocomial fungal infections.
Lingua originaleEnglish
Numero di pagine7
RivistaAnnals of Clinical and Laboratory Science
Stato di pubblicazionePublished - 2020

All Science Journal Classification (ASJC) codes

  • Microbiology
  • Immunology and Allergy
  • Pathology and Forensic Medicine
  • Immunology
  • Molecular Biology
  • Hematology
  • Clinical Biochemistry
  • Medical Laboratory Technology

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