Cryptosporidium saurophilum) in reptiles; Cryptosporidium molnari and Cryptosporidium scophthalmi in fish; Cryptosporidium fragile in frogs; Cryptosporidium baileyi and Cryptosporidium galli in birds; Cryptosporidium meleagridis in birds and humans; Cryptosporidium fayeri and Cryptosporidium macropodum in marsupials; Cryptosporidium suis in pigs; Cryptosporidium muris and Cryptosporidium wrairi in rodents; Cryptosporidium bovis, Cryptosporidium ryanae and Cryptosporidium andersoni in cattle; Cryptosporidium xiaoi in sheep; Cryptosporidium felis in

cats; Cryptosporidium canis in dogs; Cryptosporidium hominis in humans; and Cryptosporidium parvum in humans and ruminants (Fayer et al., 2000, 2001, 2005; Alvarez-Pellitero & Sitja-Bobadilla, 2002; Ryan et al., 2003a–c, 2008; Jirku et al., 2008; O’Brien GPCR Compound Library solubility dmso et al., 2008; Power & Ryan, 2008; Fayer & Santin, 2009). Molecular methods have shown that the genus is more diverse than previously thought, with >40 cryptic species identified using molecular markers. The identification of Cryptosporidium species using morphological characters is problematic. The small SCH772984 solubility dmso size of Cryptosporidium oocysts makes examination of the internal structures difficult (Fayer et al., 2000), and the similarities in

oocyst size of many Cryptosporidium species prevent ready identification (Fall et al., 2003). To overcome these limitations, Cryptosporidium identification and differentiation is commonly achieved using molecular approaches. Cryptosporidium species have been differentiated using sequence analysis of a variety of loci. The more commonly used loci include 18S ribosomal DNA (18S rRNA gene) (Morgan et al., 1997, 1998; Xiao et al., 1999b), heat shock protein 70 (Sulaiman et al., 1999) and actin (Sulaiman et al., 2000). However, the high

costs of DNA sequencing have led to the development of more rapid and inexpensive gel-based electrophoretic methods for species differentiation. Both restriction fragment length polymorphism (RFLP) (Spano et al., 1997; Morgan et al., 1999; Patel et al., 1999) and single-stranded conformation SPTBN5 polymorphism (SSCP) have been used to identify the genetic variation in 20 Cryptosporidium species (Jex et al., 2007a) and for investigating the intraspecies variation in C. parvum and C. hominis (Gasser et al., 2004; Jex et al., 2007b). Capillary electrophoresis coupled to RFLP (terminal RFLP) and SSCP (CE-SSCP) have proven to be more reliable and sensitive than analysis by conventional gel electrophoresis. In this study, we investigated the ability of CE-SSCP on the 18S rRNA gene to discriminate between species and genotypes of Cryptosporidium both within host groups and between host groups. Genomic DNA from 28 Cryptosporidium isolates representing 15 species and genotypes were used in this study (Table 1).