Molecular typing of Cryptococcus neoformans by PCR fingerprinting, in comparison with serotyping and Fourier...

Molecular typing by PCR fingerprinting using the single primer (GACA)4 was performed with 110 isolates of Cryptococcus neoformans. Seventy clinical isolates of C. neoformans var. neoformans from Germany (n = 52) and Africa (n = 18) were included. Of these, serotype A (C. neoformans var. grubii) accounted for 47 isolates, serotype D for 12 and serotype AD for 11. Fourier transform infrared (FT-IR) spectroscopy was evaluated for its discriminatory power in phenotyping. Molecular types, defined by different PCR fingerprinting patterns, were compared to serotypes, and both sets of results were compared with the results of analysis by FT-IR spectroscopy. PCR fingerprinting revealed genotypic diversity within each serotype; it showed three different genotypes (designated VNA1-VNA3) within serotype A, two within serotype D (VND1 and VND2), and three within serotype AD (VNAD1-VNAD3). The nomenclature of molecular types within C. n. var. neoformans, as seen in publications to date, is not uniform. In this study, the name assigned to each genotype was based on the 98.6% concordance of genotypes with serotypes, a correspondence that facilitates interlaboratory comparison. This nomenclature is tentatively recommended as a standard. FT-IR spectroscopy combined with hierarchical cluster analysis successfully distinguished C n. var. neoformans from C. n. var. gattii. For C. n. var. neoformans, FT-IR confirmed three distinct genotypes within serotype A and was able to distinguish isolates derived from particular patients as well as isolates differing at the sub-genotype level. Within C. n. var. gattii, the serotypes B and C did not correlate with the four genotypes VGI-VGIV. However, these serotypes could clearly be separated by FT-IR spectroscopy. The molecular profiles were reproducible, and were more stable and more discriminating than serotyping. In connection with a standardized nomenclature, PCR fingerprinting can be a beneficial tool for global epidemiological studies. FT-IR spectroscopy adds an additional level of resolution.