S5.5a Standing up FungiNet: Genomic epidemiology and surveillance of fungal diseases

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Abstract S5.5 Genomic Epidemiology of Fungal Infections, September 22, 2022, 3:00 PM - 4:30 PM Objectives With the advent of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing, the public health landscape for genomic epidemiology and surveillance has transformed for a variety of pathogens. For fungal diseases, the U.S. Centers for Disease Control and Prevention (CDC) is working with global partners to stand up FungiNet, a network that aims to equip scientists with laboratory, bioinformatics, and informatics resources to harness genomic data. FungiNet partners will use genomic and epidemiologic data to detect outbreaks, identify introductions, and characterize transmission of fungal infections. In 2022, FungiNet aims to onboard nine state and local health departments in the United States and two global partners, the Instituto Nacional de Salud in Colombia and the National Institute for Communicable Diseases in South Africa, with a focus on Candida auris. Methods To streamline the onboarding process, CDC generated standardized operating procedures (SOPs) specific to C. auris. For DNA extraction, SOPs were created for workflows using the Zymo Research Quick-DNA™ (ZR) Fungal/Bacterial Miniprep, Qiagen Dneasy Blood and Tissue, and Epicentre (Illumina) MasterPure Yeast DNA Purification kits. For library preparation and Illumina sequencing, PulseNet methods used for foodborne pathogens were validated for C. auris. For NCBI data submissions, required data elements were defined. For SNP and phylogenetic analyses, the bioinformatics workflow MycoSNP was adapted to use Nextflow software and the Terra platform. For visualization with epidemiologic data, guidance documents and tutorials for Microreact were created. Finally, for data reporting, processes are being designed in REDCap and in laboratory information management systems to rapidly share genomic-related data. Results To date, 11 partners have committed to building capacity for C. auris genomic sequencing and analysis as a FungiNet partner. Of these, seven have validated methods for DNA extraction, and nine have generated high-quality sequencing data. Only one partner has installed and locally run MycoSNP, and none have submitted raw sequence data to NCBI. Conclusions Currently, 11 FungiNet partners are working to onboard C. auris genomic sequencing and bioinformatics analysis in 2022. This process is complex, requiring several laboratories, bioinformatics, and informatics workflows. For many partners, bioinformatics analysis and NCBI submission are the most challenging activities with the installation of MycoSNP and the ability to batch upload data to NCBI as the main barriers. Next steps will focus on the validation of informatics methods to link genomic and epidemiologic data.

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