jThe occurrence of Cryptosporidium oocysts in drinking source water can present a serious public health risk. To rapidly and effectively assess the source and human-infective potential of Cryptosporidium oocysts in water, sensitive detection and correct identification of oocysts to the species level (genotyping) are essential. In this study, we developed three real-time PCR genotyping assays, two targeting the small-subunit (SSU) rRNA gene (18S-LC1 and 18S-LC2 assays) and one targeting the 90-kDa heat shock protein (hsp90) gene (hsp90 assay), and evaluated the sensitivity and Cryptosporidium species detection range of these assays. Using fluorescence resonance energy transfer probes and melt curve analysis, the 18S-LC1 and hsp90 assays could differentiate common human-pathogenic species (C. parvum, C. hominis, and C. meleagridis), while the 18S-LC2 assay was able to differentiate nonpathogenic species (such as C. andersoni) from human-pathogenic ones commonly found in source water. In sensitivity evaluations, the 18S-LC2 and hsp90 genotyping assays could detect as few as 1 Cryptosporidium oocyst per sample. Thus, the 18S-LC2 and hsp90 genotyping assays might be used in environmental monitoring, whereas the 18S-LC1 genotyping assay could be useful for genotyping Cryptosporidium spp. in clinical specimens or wastewater samples.
Waterborne Cryptosporidium spp. present a serious threat to human health because of the ubiquitous presence of Cryptosporidium spp. in water and resistance of the oocysts to environmental conditions, various disinfectants, and many treatment practices (1). As watersheds are vulnerable to contamination with both human-pathogenic and nonpathogenic species, sensitive detection of Cryptosporidium oocysts in water and correct identification of oocysts to the species/genotype level are essential for source water management and risk assessment. Traditional microscopy-based detection tools such as U.S. Environmental Protection Agency (EPA) Method 1622/1623 cannot differentiate Cryptosporidium species. Thus, genotyping tools are increasingly used in the assessment of the human-infective potential and source of Cryptosporidium oocysts in source or finished water (2-12).Currently, numerous molecular techniques have been developed for Cryptosporidium detection and genotyping, based mostly on PCR (single-round PCR, nested PCR, real-time PCR, and multiplex PCR, etc.) followed by restriction fragment length polymorphism (RFLP) analysis, DNA sequencing, melt curve analysis, or single-strand conformation polymorphism (SSCP) analysis (13). Among these methods, the real-time PCR technique with melt curve analysis has recently evolved as a sensitive, specific, and time-saving tool for the detection and genotyping of Cryptosporidium spp. in clinical and environmental samples, relying on several gene targets, including the small-subunit (SSU) rRNA, the 70-kDa heat shock protein (hsp70), the Cryptosporidium oocyst wall protein (COWP), the 60-kDa glycoprotein (gp60), and others (14-21). The SSU rRNA gene is the mo...