Acanthamoeba spp. are ubiquitous in the environment and have the potential to cause severe infections. The different genotypes of Acanthamoeba have been shown to influence the severity of the disease and response to therapy. Characterizing Acanthamoeba spp. upto genotype can aid in infection control practices. Twenty-five Acanthamoeba isolates, characterized by 18S rDNA sequencing, were subjected to MALDI-TOF MS analysis by creating a database for the individual genotypes. The differentiating features of the various spectra were observed; the coded samples were then tested against the created database. The results of identification were compared with sequencing. Five different genotypes were obtained-T3, T4, T5, T10, and T11. Spectral analysis revealed genus-specific and genotype-specific peaks. The peak patterns for individual genotype were discrete and reproducible. Clinical isolates produced different peaks from the environmental isolate of the same genotype. A concordance of 92% was obtained with MALDI-TOF MS in comparison with 18sDNA sequencing. MALDI-TOF MS, once optimized, has the potential to reliably identify the genotype of Acanthamoeba spp. and to differentiate clinical isolate from mere contaminant.
Keywords: 18S rDNA; Amoebic keratitis; Genotyping; Granulomatous amoebic encephalitis.