Fungal infections are being caused by a broadening spectrum of fungi, yet in many cases, identification to the species level is required for proper antifungal selection. We investigated the fungal intergenic spacer (IGS) sequence in combination with nanopore sequencing for fungal identification. We sequenced isolates from two Cryptococcus species complexes, C. gattii and C. neoformans, which are the main pathogenic members of this genus, using the Oxford Nanopore Technologies MinION device and Sanger sequencing. There is enough variation within the two complexes to argue for further resolution into separate species, which we wanted to see if nanopore sequencing could detect. Using the R9.4.1 flow cell, IGS sequence identities averaged 99.57% compared to Sanger sequences of the same region. When the newer R10.3 flow cell was used, accuracy increased to 99.83% identity compared to the same Sanger sequences. Nanopore sequencing errors were predominantly in regions of homopolymers, with G homopolymers displaying the largest number of errors and C homopolymers displaying the least. Phylogenetic analysis of the nanopore- and Sanger-derived sequences resulted in indistinguishable trees. Comparison of average percent identities between the C. gattii and C. neoformans species complexes resulted in only a 74 to 77% identity between the two complexes. Sequencing using the nanopore platform could be completed in less than an hour, and samples could be multiplexed in groups as large as 24 sequences in a single run. These results suggest that sequencing the IGS region using nanopore sequencing could be a potential new molecular diagnostic strategy.
Keywords: DNA sequencing; diagnostic; fungal.
Copyright © 2020 American Society for Microbiology.