parvum and C. hominis orthologous protein coding genes. 17-AAG The authors also reported a high number of non-synonymous SNPs in genes involved in host-parasite interactions, mainly genes with transmembrane domains or signal peptides [30]. The sequence analysis of C. meleagridis PCR selleckchem products allowed data enrichment as this species is distant from C. hominis and C. parvum. In fact, among the genes assessed here, C. meleagridis species had 108 additional SNPs, 20 of which are in the Chro.30149 gene. For Chro.30149 gene, C. meleagridis has in average 1 SNP every 15 nucleotide. Surprisingly, all C. meleagridis SNPs are synonymous. Interestingly, no SNP was detected in
this gene from C. hominis and C. parvum DNA. Chro.30149 has a predicted function as Ubiquitin ligase. This gene is a housekeeping gene and shows a low level of sequence divergence between species and isolates when compared to contingency genes consistently under environmental pressure and characterized by higher spontaneous mutation rates [31]. The newly identified SNPs were used to determine genetic differences between the main Cryptosporidium species and subtypes tested. This analysis showed that the genetic difference between C. hominis and C. parvum was https://www.selleckchem.com/products/pf-06463922.html only 1.72%. Within C. parvum group, the anthroponotic subtype isolates showed only
0.12% from the main zoonotic C. parvum isolates. The C. cuniculus SB-3CT isolates exhibited 0.27% genetic differences to C. hominis isolates. In addition, extremely low sequence variability between C. hominis and C. cuniculus was observed using the common genotyping loci [13]. Based on these data and supported by morphological analysis and experimental infection, rabbit genotype
was considered synonymous with C. cuniculus [13]. In addition, sequence analysis allowed us to perform a robust and novel MLA. The Neighbour-Joining phylogenetic tree clearly grouped and discriminated with high bootstrap values the previously described lineages of Cryptosporidium subtypes. Therefore, these genetic loci represent potential powerful targets for Cryptosporidium genotyping and subtyping purposes. Especially since these genes are stable and slow mutating, unlike the currently used Cryptosporidium typing targets (gp60, mini- and microsatellites). Mini and Microsatellites are repetitive versatile DNA repeats known to influence the structure and expression of protein-coding genes and to be responsive to environmental signals [32, 33]. The microsatellites abundance and high variability made them the genetic markers of choice for several applications (individual identity, forensics, parentage, genetic structure, epidemiology and phylogenetics [34]. However, because of the instability of microsatellite markers, extra care should be taken when interpreting microsatellite-based typing data [35].