Development and evaluation of a core genome multilocus sequence typing scheme for Paenibacillus larvae, the deadly American foulbrood pathogen of honeybees

Alicia C. Bertolotti*, Eva Forsgren, Marc O. Schäfer, Fabrice Sircoulomb, Nicolas Gaïani, Magali Ribière-Chabert, Laurianne Paris, Pierrick Lucas, Claire de Boisséson, Joakim Skarin, Marie Pierre Rivière, Rudolf Moosbeckhofer, Hemma Köglberger, Stefan Roels, Severine Matthijs, Valerie Vandenberge, Kalinka Gurgulova, Ivana Tlak Gajger, Martin Pijacek, Per KrygerImbi Nurmoja, Kaidi Korge, Merle Kuus, Pilar Fernández Somalo, Sirpa Heinikainen, Konstantinos Oureilidis, Asta Pereckiene, Ceslova Butrimaite Ambrozeviciene, Ieva Rodze, Gunita Deksne, Marc Engelsma, Krystyna Pohorecka, Maria José Valério, Gabriela Chioveanu, Metka Pislak Ocepek, Miriam Filipova, Miriam Kantikova, Victoria Tomkies, Maureen Wakefield

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Abstract

Paenibacillus larvae is the causative agent of the fatal American foulbrood disease in honeybees (Apis mellifera). Strain identification is vital for preventing the spread of the disease. To date, the most accessible and robust scheme to identify strains is the multilocus sequence typing (MLST) method. However, this approach has limited resolution, especially for epidemiological studies. As the cost of whole-genome sequencing has decreased and as it becomes increasingly available to most laboratories, an extended MLST based on the core genome (cgMLST) presents a valuable tool for high-resolution investigations. In this study, we present a standardized, robust cgMLST scheme for P. larvae typing using whole-genome sequencing. A total of 333 genomes were used to identify, validate and evaluate 2419 core genes. The cgMLST allowed fine-scale differentiation between samples that had the same profile using traditional MLST and allowed for the characterization of strains impossible by MLST. The scheme was successfully used to trace a localized Swedish outbreak, where a cluster of 38 isolates was linked to a country-wide beekeeping operation. cgMLST greatly enhances the power of a traditional typing scheme, while preserving the same stability and standardization for sharing results and methods across different laboratories.

Original languageEnglish
Pages (from-to)5042-5051
Number of pages10
JournalEnvironmental Microbiology
Volume23
Issue number9
DOIs
Publication statusPublished - Sep 2021

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