Assessment of biorisk management systems in high containment laboratories, 18 countries in Europe, 2016 and 2017.

Europe-wide activities to improve biosafety and biosecurity performed within the frameworks of the European Union (EU)-funded Joint Actions EMERGE and QUANDHIP led to the development of an Integrated European Checklist for Laboratory Biorisk Management (ECL).To better understand different approaches shaping biorisk management (BRM) systems on an operational level in high containment laboratories, the ECL was used to map the implementation of BRM in 32 high containment laboratories in 18 countries in Europe. The results suggest that the BRM elements referring to standard microbiological working practices and the handling of infectious material were fulfilled particularly well. The elements safety exercises involving internal and external emergency responders, and appropriate decommissioning plans were not fulfilled particularly well. BRM in Biosafety Level (BSL) 4 laboratories handling Risk Group (RG) 4 viruses appear to vary among each other less than BSL3 laboratories handling RG 3 bacteria. It is important to agree on comparable regulations in Europe as high containment laboratories are indispensable for a safe, quick and effective response to public health threats. As high containment laboratories may also present a public health risk it is crucial to have robust BRM on organisational and operational levels.

Genetic diversity and spatial distribution of Burkholderia mallei by core genome-based multilocus sequence typing analysis.

Burkholderia mallei is the etiological agent of glanders, a highly contagious and often fatal disease in equids. Due to the high genetic clonality of B. mallei, high-resolution typing assays are necessary to differentiate between individual strains. Here we report on the development and validation of a robust and reproducible core genome-based Multi Locus Sequence Typing Assay (cgMLST) for B. mallei, which is based on 3328 gene targets and enables high-resolution typing at the strain level. The assay was validated using a set of 120 B. mallei genomes from public databases and 23 newly sequenced outbreak strains from in-house strain collections. In this cgMLST analysis, strains from different geographic regions were clearly distinguished by at least 70 allele differences, allowing spatial clustering while closely related and epidemiologically related strains were separated by only zero to three alleles. Neither the different sequencing technologies nor the assembly strategies had an influence on the cgMLST results. The developed cgMLST is highly robust, reproducible and can be used for outbreak investigations, source tracking and molecular characterization of new B. mallei isolates.