Detection of diarrhoeal pathogens in human faeces using an automated, robotic platform.

Infectious diarrhoeal diseases represent a major socio-economic burden to humans, and are linked to a range of pathogens, including viruses, bacteria and protists. The accurate detection of such pathogens is central to control. However, detection often relies on methods that have limited diagnostic sensitivity and specificity.

Highly sensitive non-isotopic restriction endonuclease fingerprinting of nucleotide variability in the gp60 gene within Cryptosporidium species, genotypes and subgenotypes infective to humans, and its implications.

The high-resolution analysis of genetic variation has major implications for the identification of parasites and micro-organisms to species and subspecies as well as for population genetic and epidemiological studies. In this study, we critically assessed the effectiveness of a PCR-based restriction endonuclease fingerprinting (REF) method for the detection of mutations in the 60 kDa glycoprotein gene (gp60) of Cryptosporidium, a genus of parasitic protists of major human and animal health importance globally. This gene displays substantial intraspecific variability in sequence, particularly in a TCA (perfect and imperfect) microsatellite region, is present as a single copy in the nuclear genome and is used widely as a marker in molecular epidemiological studies of Cryptosporidium hominis and C.

Analysis of nucleotide variation within the triose-phosphate isomerase gene of Giardia duodenalis from sheep and its zoonotic implications.

This study explored the genetic composition of Giardia in fecal samples from 284 individual lambs on pasture-based sheep farms in three regions of Victoria, Australia. An approach, combining targeted sequencing, phylogenetic analysis and PCR-coupled restriction endonuclease fingerprinting, was used to identify and genetically categorize Giardia present in 43 (15.1%) of the 284 samples and to infer their zoonotic potential.

Analysis of genetic variation in Globocephaloides populations from macropodid marsupials using a mutation scanning-based approach.

Three species of Globocephaloides, parasitic nematodes occurring in macropodid marsupials in different areas of Australia, were characterized by the sequences of the first and second internal transcribed spacers (ITS-1 and ITS-2) of nuclear ribosomal DNA. Samples were subjected to PCR-coupled SSCP analysis and targeted sequencing, in order to assess genetic variation within and among individuals from different host species. Both SSCP and sequence data supported the current classification of morphospecies.

Genetic categorization of Echinococcus granulosus from humans and herbivorous hosts in Iran using an integrated mutation scanning-phylogenetic approach.

In the present study, we have extended earlier taxonomic, biochemical and experimental investigations to characterize Echinococcus granulosus from various hosts in Iran utilizing DNA regions (designated pcox1 and pnad1) within the cytochrome c oxidase subunit 1 and NADH dehydrogenase 1 mitochondrial genes, respectively. An emphasis was placed on the characterization of E. granulosus isolates (cyst material) from humans, sheep, goats, cattle and camels, and on assessing their genetic relationships.

High resolution melting-curve (HRM) analysis for the diagnosis of cryptosporidiosis in humans.

Cryptosporidiosis of humans is an intestinal disease caused predominantly by infection with Cryptosporidium hominis or C. parvum. This disease is transmitted mainly via the faecal-oral route (water or food) and has major socioeconomic impact globally.

Classification of Cryptosporidium species from patients with sporadic cryptosporidiosis by use of sequence-based multilocus analysis following mutation scanning.

In the present study, we analyzed genetic variation in Cryptosporidium species from humans (n = 62) with clinical cryptosporidiosis in South Australia. Sequence variation was assessed in regions within the small subunit of nuclear rRNA (p-SSU), the 70-kDa heat shock protein (p-hsp70), and the 60-kDa glycoprotein (p-gp60) genes by employing single-strand conformation polymorphism analysis and sequencing. Based on the analyses of p-SSU and p-hsp70, Cryptosporidium hominis (n = 38) and Cryptosporidium parvum (n = 24) were identified.