Molecular fingerprinting of Cryptosporidium oocysts isolated during water monitoring

We developed and validated a PCR-based method for identifying Cryptosporidium species and/or genotypes present on oocyst-positive microscope slides. The method involves removing coverslips and oocysts from previously examined slides followed by DNA extraction. We tested four loci, the 18S rRNA gene (N18SDIAG and N18SXIAO), the Cryptosporidium oocyst wall protein (COWP) gene (STN-COWP), and the dihydrofolate reductase (dhfr) gene (by multiplex allele-specific PCR), for amplifying DNA from low densities of Cryptosporidium parvum oocysts experimentally seeded onto microscope slides. The N18SDIAG locus performed consistently better than the other three tested. Purified oocysts from humans infected with C. felis, C. hominis, and C. parvum and commercially purchased C. muris were used to determine the sensitivities of three loci (N18SDIAG, STN-COWP, and N18SXIAO) to detect low oocyst densities. The N18SDIAG primers provided the greatest number of positive results, followed by the N18SXIAO primers and then the STN-COWP primers. Some oocyst-positive slides failed to generate a PCR product at any of the loci tested, but the limit of sensitivity is not entirely based on oocyst number. Sixteen of 33 environmental water monitoring Cryptosporidium slides tested (oocyst numbers ranging from 1 to 130) contained mixed Cryptosporidium species. The species/genotypes most commonly found were C. muris or C. andersoni, C. hominis or C. parvum, and C. meleagridis or Cryptosporidium sp. cervine, ferret, and mouse genotypes. Oocysts on one slide contained Cryptosporidium muskrat genotype II DNA.     

The CpA135 gene as a marker to identify Cryptosporidium species infecting humans

Of the 22 species currently recognized as valid in the Cryptosporidium genus, C. parvum and C. hominis account for most cases of human infections worldwide. However, C. meleagridis, C. canis, C. felis, C. suis, C. muris, as well as the cervine, rabbit and monkey Cryptosporidium genotypes, have also been recognized as the etiologic cause of both sporadic and epidemic cryptosporidiosis in humans. Molecular methods are necessary to distinguish species and genotypes of Cryptosporidium, due to the lack of reliable morphological variations. The aim of this work was to determine the genetic polymorphisms in a fragment of the A135 gene in isolates of C. parvum, C. hominis, C. meleagridis, C. canis, C. muris, C. andersoni and the Cryptosporidium cervine genotype. Primers were designed on conserved regions identified on a multiple alignment of the C. parvum, C. hominis and C. muris sequences, the three species for which information is available at the genome level. PCR amplification and direct sequencing of a 576 bp fragment revealed the presence of numerous single nucleotide polymorphisms (SNPs) among the species/genotype tested. The genetic variability was exploited to design a PCR-RFLP assay useful for a rapid identification of the most important human pathogens in the genus Cryptosporidium.     

Species-Specific, Nested PCR-Restriction Fragment Length Polymorphism Detection of Single Cryptosporidium parvum Oocysts

Concurrent with recent advances seen with Cryptosporidium parvum detection in both treated and untreated water is the need to properly evaluate these advances. A micromanipulation method by which known numbers of C. parvum oocysts, even a single oocyst, can be delivered to a test matrix for detection sensitivity is presented. Using newly developed nested PCR-restriction fragment length polymorphism primers, PCR sensitivity was evaluated with 1, 2, 3, 4, 5, 7, or 10 oocysts. PCR detection rates (50 samples for each number of oocysts) ranged from 38% for single oocysts to 92% for 5 oocysts, while 10 oocysts were needed to achieve 100% detection. The nested PCR conditions amplified products from C. parvum, Cryptosporidium baileyi, and Cryptosporidium serpentis but no other Cryptosporidium sp. or protozoan tested. Restriction enzyme digestion with VspI distinguished between C. parvum genotypes 1 and 2. Restriction enzyme digestion with DraII distinguished C. parvum from C. baileyi and C. serpentis. Use of known numbers of whole oocysts encompasses the difficulty of liberating DNA from the oocyst and eliminates the standard deviation inherent within a dilution series. To our knowledge this is the first report in which singly isolated C. parvum oocysts were used to evaluate PCR sensitivity. This achievement illustrates that PCR amplification of a single oocyst is feasible, yet sensitivity remains an issue, thereby illustrating the difficulty of dealing with low oocyst numbers when working with environmental water samples.     

Identification of Cryptosporidium Species and Genotypes in Scottish Raw and Drinking Waters during a One-Year Monitoring Period

We analyzed 1,042 Cryptosporidium oocyst-positive slides (456 from raw waters and 586 from drinking waters) of which 55.7% contained 1 or 2 oocysts, to determine species/genotypes present in Scottish waters. Two nested PCR-restriction fragment length polymorphism (RFLP) assays targeting different loci (1 and 2) of the hypervariable region of the 18S rRNA gene were used for species identification, and 62.4% of samples were amplified with at least one of the PCR assays. More samples (577 slides; 48.7% from raw water and 51.3% from drinking water) were amplified at locus 1 than at locus 2 (419 slides; 50.1% from raw water and 49.9% from drinking water). PCR at loci 1 and 2 amplified 45.4% and 31.7% of samples containing 1 or 2 oocysts, respectively. We detected both human-infectious and non-human-infectious species/genotype oocysts in Scottish raw and drinking waters. Cryptosporidium andersoni, Cryptosporidium parvum, and the Cryptosporidium cervine genotype (now Cryptosporidium ubiquitum) were most commonly detected in both raw and drinking waters, with C. ubiquitum being most common in drinking waters (12.5%) followed by C. parvum (4.2%) and C. andersoni (4.0%). Numerous samples (16.6% total; 18.9% from drinking water) contained mixtures of two or more species/genotypes, and we describe strategies for unraveling their identity. Repetitive analysis for discriminating mixtures proved useful, but both template concentration and PCR assay influenced outcomes. Five novel Cryptosporidium spp. (SW1 to SW5) were identified by RFLP/sequencing, and Cryptosporidium sp. SW1 was the fourth most common contaminant of Scottish drinking water (3%).The protozoan parasite Cryptosporidium has been implicated in numerous waterborne and food-borne outbreaks of cryptosporidiosis (3, 6, 16, 17, 18). Currently, there are 22 valid Cryptosporidium species: Cryptosporidium hominis, infecting mainly humans; C. parvum, in humans and numerous other mammals, including cattle; C. andersoni, C. bovis (previously bovine genotype B), and C. ryanae (previously deer-like genotype) in cattle; C. xiaoi (previously bovis-like genotype) in sheep; C. muris in mice; C. felis in cats; C. suis (previously pig genotype I) in pigs; C. wrairi in guinea pigs; C. canis in dogs; C. meleagridis and C. baileyi in birds; C. galli in finches and chickens; C. fayeri (previously marsupial genotype I) and C. macropodum (previously marsupial genotype II) in various species of marsupials; C. fragile in toads; C. varanii (previously C. saurophilum) in lizards and snakes; C. serpentis in snakes; C. scophthalmi and C. molnari in fish (20); and C. ubiquitum (previously Cryptosporidium cervine genotype) in a wide variety of host species, including white-tailed deer, sheep, cattle, goat, mouse, various species of rodents, and humans (4). In addition, there are over 60 Cryptosporidium genotypes, which differ significantly in their molecular sequences but, as yet, have not been ascribed species status (13, 29).Genetic analyses reveal that at least eight species (C. hominis, C. parvum, C. meleagridis, C. felis, C. canis, C. suis, C. muris, and C. ubiquitum) and seven Cryptosporidium genotypes (C. hominis monkey, C. andersoni-like, and Cryptosporidium chipmunk I, skunk, horse, rabbit, and pig genotype II) are associated with human disease (1, 9, 22), but C. parvum and C. hominis remain the most common species infecting humans. Environmental contamination with oocysts of Cryptosporidium species that are not infectious to susceptible human hosts contributes to the difficulties in assessing the risk to public health from waterborne oocysts.Oocysts occur at low densities in water (16, 17, 21), and molecular methods which can genotype small numbers of organisms reliably and reproducibly from water concentrates are required to determine which species occur, and with what frequency, in water. We used our standardized, maximized freezing and thawing method for DNA extraction (10) and our procedure for retrieving oocysts from Cryptosporidium water monitoring slides to maximize DNA extraction for PCR-restriction fragment length polymorphism (RFLP) analysis (11, 12, 19) in this study.We undertook a 1-year survey to identify the species and genotypes of Cryptosporidium oocysts detected in the Scottish Water (SW) Routine Cryptosporidium Monitoring Programme to gain information on the occurrence and diversity of Cryptosporidium oocysts in drinking water sources and drinking waters in order to determine predominant types in water catchment areas and monitor variations in oocyst population distribution over a 1-year period with a view to adding value to current assessments of risk to human health.     

Evaluation of Cryptosporidium parvum Genotyping Techniques

We evaluated the specificity and sensitivity of 11 previously described species differentiation and genotyping PCR protocols for detection of Cryptosporidium parasites. Genomic DNA from three species of Cryptosporidium parasites (genotype 1 and genotype 2 of C. parvum, C. muris, and C. serpentis), two Eimeria species (E. neischulzi and E. papillata), and Giardia duodenalis were used to evaluate the specificity of primers. Furthermore, the sensitivity of the genotyping primers was tested by using genomic DNA isolated from known numbers of oocysts obtained from a genotype 2 C. parvum isolate. PCR amplification was repeated at least three times with all of the primer pairs. Of the 11 protocols studied, 10 amplified C. parvum genotypes 1 and 2, and the expected fragment sizes were obtained. Our results indicate that two species-differentiating protocols are not Cryptosporidium specific, as the primers used in these protocols also amplified the DNA of Eimeria species. The sensitivity studies revealed that two nested PCR-restriction fragment length polymorphism (RFLP) protocols based on the small-subunit rRNA and dihydrofolate reductase genes are more sensitive than single-round PCR or PCR-RFLP protocols.     

Detection of UV-Induced Thymine Dimers in Individual Cryptosporidium parvum and Cryptosporidium hominis Oocysts by Immunofluorescence Microscopy

To investigate the effect of UV light on Cryptosporidium parvum and Cryptosporidium hominis oocysts in vitro, we exposed intact oocysts to 4-, 10-, 20-, and 40-mJ·cm⁻² doses of UV irradiation. Thymine dimers were detected by immunofluorescence microscopy using a monoclonal antibody against cyclobutyl thymine dimers (anti-TDmAb). Dimer-specific fluorescence within sporozoite nuclei was confirmed by colocalization with the nuclear fluorogen 4′,6′-diamidino-2-phenylindole (DAPI). Oocyst walls were visualized using either commercial fluorescein isothiocyanate-labeled anti-Cryptosporidium oocyst antibodies (FITC-CmAb) or Texas Red-labeled anti-Cryptosporidium oocyst antibodies (TR-CmAb). The use of FITC-CmAb interfered with TD detection at doses below 40 mJ·cm⁻². With the combination of anti-TDmAb, TR-CmAb, and DAPI, dimer-specific fluorescence was detected in sporozoite nuclei within oocysts exposed to 10 to 40 mJ·cm⁻² of UV light. Similar results were obtained with C. hominis. C. parvum oocysts exposed to 10 to 40 mJ·cm⁻² of UV light failed to infect neonatal mice, confirming that results of our anti-TD immunofluorescence assay paralleled the outcomes of our neonatal mouse infectivity assay. These results suggest that our immunofluorescence assay is suitable for detecting DNA damage in C. parvum and C. hominis oocysts induced following exposure to UV light.     

Failure To Differentiate Cryptosporidium parvum from C. meleagridis Based on PCR Amplification of Eight DNA Sequences

In order to determine the specificities of PCR-based assays used for detecting Cryptosporidium parvum DNA, eight pairs of previously described PCR primers targeting six distinct regions of the Cryptosporidium genome were evaluated for the detection of C. parvum, the agent of human cryptosporidiosis, and C. muris, C. baileyi, and C. meleagridis, three Cryptosporidium species that infect birds or mammals but are not considered to be human pathogens. The four Cryptosporidium species were divided into two groups: C. parvum and C. meleagridis, which gave the same-sized fragments with all the reactions, and C. muris and C. baileyi, which gave positive results with primer pairs targeting the 18S rRNA gene only. In addition to being genetically similar at each of the eight loci analyzed by DNA amplification, C. parvum and C. meleagridis couldn’t be differentiated even after restriction enzyme digestion of the PCR products obtained from three of the target genes. This study indicates that caution should be exercised in the interpretation of data from water sample analysis performed by these methods, since a positive result does not necessarily reflect a contamination by the human pathogen C. parvum.     

Sequence Differences in the Diagnostic Target Region of the Oocyst Wall Protein Gene of Cryptosporidium Parasites

Nucleotide sequences of the Cryptosporidium oocyst wall protein (COWP) gene were obtained from various Cryptosporidium spp. (C. wrairi, C. felis, C. meleagridis, C. baileyi, C. andersoni, C. muris, and C. serpentis) and C. parvum genotypes (human, bovine, monkey, marsupial, ferret, mouse, pig, and dog). Significant diversity was observed among species and genotypes in the primer and target regions of a popular diagnostic PCR. These results provide useful information for COWP-based molecular differentiation of Cryptosporidium spp. and genotypes.     

Diversity of Cryptosporidium spp. in Apodemus spp. in Europe

The genetic diversity of Cryptosporidium spp. in Apodemus spp. (striped field mouse, yellow-necked mouse and wood mouse) from 16 European countries was examined by PCR/sequencing of isolates from 437 animals. Overall, 13.7% (60/437) of animals were positive for Cryptosporidium by PCR. Phylogenetic analysis of small-subunit rRNA, Cryptosporidium oocyst wall protein and actin gene sequences showed the presence of Cryptosporidium ditrichi (22/60), Cryptosporidium apodemi (13/60), Cryptosporidium apodemus genotype I (8/60), Cryptosporidium apodemus genotype II (9/60), Cryptosporidium parvum (2/60), Cryptosporidium microti (2/60), Cryptosporidium muris (2/60) and Cryptosporidium tyzzeri (2/60). At the gp60 locus, novel gp60 families XVIIa and XVIIIa were identified in Cryptosporidium apodemus genotype I and II, respectively, subtype IIaA16G1R1b was identified in C. parvum, and subtypes IXaA8 and IXcA6 in C. tyzzeri. Only animals infected with C. ditrichi, C. apodemi, and Cryptosporidium apodemus genotypes shed oocysts that were detectable by microscopy, with the infection intensity ranging from 2000 to 52,000 oocysts per gram of faeces. None of the faecal samples was diarrheic in the time of the sampling.     

A new genotype of Cryptosporidium from giant panda (Ailuropoda melanoleuca) in China

Fifty-seven fecal samples were collected from giant pandas (Ailuropoda melanoleuca) in the China Conservation and Research Centre for the Giant Panda (CCRCGP) in Sichuan and examined for Cryptosporidium oocysts by Sheather's sugar flotation technique. An 18-year-old male giant panda was Cryptosporidium positive, with oocysts of an average size of 4.60 × 3.99 μm (n = 50). The isolate was genetically analyzed using the partial 18S rRNA, 70 kDa heat shock protein (HSP70), Cryptosporidium oocyst wall protein (COWP) and actin genes. Multi-locus genetic characterization indicated that the present isolate was different from known Cryptosporidium species and genotypes. The closest relative was the Cryptosporidium bear genotype, with 11, 10, and 6 nucleotide differences in the 18S rRNA, HSP70, and actin genes, respectively. Significant differences were also observed in the COWP gene compared to Cryptosporidium mongoose genotype. The homology to the bear genotype at the 18S rRNA locus was 98.6%, which is comparable to that between Cryptosporidium parvum and Cryptosporidium hominis (99.2%), or between Cryptosporidium muris and Cryptosporidium andersoni (99.4%). Therefore, the Cryptosporidium in giant pandas in this study is considered as a new genotype: the Cryptosporidium giant panda genotype.     

UV Inactivation of Cryptosporidium hominis as Measured in Cell Culture

The Cryptosporidium spp. UV disinfection studies conducted to date have used Cryptosporidium parvum oocysts. However, Cryptosporidium hominis predominates in human cryptosporidiosis infections, so there is a critical need to assess the efficacy of UV disinfection of C. hominis. This study utilized cell culture-based methods to demonstrate that C. hominis oocysts displayed similar levels of infectivity and had the same sensitivity to UV light as C. parvum. Therefore, the water industry can be confident about extrapolating C. parvum UV disinfection data to C. hominis oocysts.     

Identification of Cryptosporidium spp. Oocysts in United Kingdom Noncarbonated Natural Mineral Waters and Drinking Waters by Using a Modified Nested PCR-Restriction Fragment Length Polymorphism Assay

We describe a nested PCR-restriction fragment length polymorphism (RFLP) method for detecting low densities of Cryptosporidium spp. oocysts in natural mineral waters and drinking waters. Oocysts were recovered from seeded 1-liter volumes of mineral water by filtration through polycarbonate membranes and from drinking waters by filtration, immunomagnetizable separation, and filter entrapment, followed by direct extraction of DNA. The DNA was released from polycarbonate filter-entrapped oocysts by disruption in lysis buffer by using 15 cycles of freeze-thawing (1 min in liquid nitrogen and 1 min at 65°C), followed by proteinase K digestion. Amplicons were readily detected from two to five intact oocysts on ethidium bromide-stained gels. DNA extracted from Cryptosporidium parvum oocysts, C. muris (RN 66), C. baileyi (Belgium strain, LB 19), human-derived C. meleagridis, C. felis (DNA from oocysts isolated from a cat), and C. andersoni was used to demonstrate species identity by PCR-RFLP after simultaneous digestion with the restriction enzymes DraI and VspI. Discrimination between C. andersoni and C. muris isolates was confirmed by a separate, subsequent digestion with DdeI. Of 14 drinking water samples tested, 12 were found to be positive by microscopy, 8 were found to be positive by direct PCR, and 14 were found to be positive by using a nested PCR. The Cryptosporidium species detected in these finished water samples was C. parvum genotype 1. This method consistently and routinely detected >5 oocysts per sample.     

Comparative Sensitivity of PCR Primer Sets for Detection of Cryptosporidium parvum

Improved methods for detection of Cryptosporidium oocysts in environmental and clinical samples are urgently needed to improve detection of cryptosporidiosis. We compared the sensitivity of 7 PCR primer sets for detection of Cryptosporidium parvum. Each target gene was amplified by PCR or nested PCR with serially diluted DNA extracted from purified C. parvum oocysts. The target genes included Cryptosporidium oocyst wall protein (COWP), small subunit ribosomal RNA (SSU rRNA), and random amplified polymorphic DNA. The detection limit of the PCR method ranged from 10³ to 10⁴ oocysts, and the nested PCR method was able to detect 10⁰ to 10² oocysts. A second-round amplification of target genes showed that the nested primer set specific for the COWP gene proved to be the most sensitive one compared to the other primer sets tested in this study and would therefore be useful for the detection of C. parvum.     

Phylogenetic Relationships of Cryptosporidium Parasites Based on the 70-Kilodalton Heat Shock Protein (HSP70) Gene

We have characterized the nucleotide sequences of the 70-kDa heat shock protein (HSP70) genes of Cryptosporidium baileyi, C. felis, C. meleagridis, C. muris, C. serpentis, C. wrairi, and C. parvum from various animals. Results of the phylogenetic analysis revealed the presence of several genetically distinct species in the genus Cryptosporidium and eight distinct genotypes within the species C. parvum. Some of the latter may represent cryptic species. The phylogenetic tree constructed from these sequences is in agreement with our previous results based on the small-subunit rRNA genes of Cryptosporidium parasites. The Cryptosporidium species formed two major clades: isolates of C. muris and C. serpentis formed the first major group, while isolates of C. felis, C. meleagridis, C. wrairi, and eight genotypes of C. parvum formed the second major group. Sequence variations were also observed between C. muris isolates from ruminants and rodents. The HSP70 gene provides another useful locus for phylogenetic analysis of the genus Cryptosporidium.     

A rapid method for extracting oocyst DNA from Cryptosporidium-positive human faeces for outbreak investigations

We describe a rapid method for extracting and concentrating Cryptosporidium oocysts from human faecal samples with subsequent DNA preparation for mainstream PCR applications. This method consists of extracting faecal lipids using a modified water-ether treatment and releasing DNA from semi-purified oocysts by freeze thawing in lysis buffer. Following immunomagnetisable separation (IMS), recovery rates of 29.5%, 43.2% and 49.8% were obtained from oocyst-negative solid, semi-solid and liquid faeces, respectively, seeded with 100 +/- 2 C. parvum oocysts, which were enumerated by flow cytometry. A retrospective analysis was conducted on 92 positive human faecal samples including 78 oocyst-positive cases from 2 UK cryptosporidiosis outbreaks (outbreak A = 34 samples, outbreak B = 44 samples) and 14 oocyst-positive, sporadic cases. We used primers targeting the Cryptosporidium oocyst wall protein gene (COWP; STN-COWP), the 18S rRNA (direct PCR) and the dihydrofolate reductase gene (dhfr, MAS-PCR) fragments to evaluate extracted DNA by PCR. PCR inhibitors were present in 20 samples when template was co-amplified with the 18S rRNA gene primers and an internal control. Template dilution (1/5) in polyvinylpyrrolidone (10 mg ml(-1), pH 8.0) transformed four PCR-negative samples to PCR-positive and increased amplicon intensity in previously positive samples. Eighteen of 20 PCR-negative samples produced visible amplicons when Taq polymerase concentration in the STN-COWP PCR was increased from 2.5 to 5 U. The STN-COWP PCR assay amplified 90 of 92 samples (97.8%) and the MAS-PCR assay amplified 70 of 92 samples (76.1%) tested. In the absence of inhibitors, DNA equivalent to 3 C. parvum oocysts was amplified.     

Concentrations,Viability, and Distribution of Cryptosporidium Genotypes in Lagoons of Swine Facilities in the Southern Piedmont and in Coastal Plain Watersheds of Georgia

Waste lagoons of swine operations are a source of Cryptosporidium oocysts. Few studies, however, have reported on oocyst concentrations in swine waste lagoons; none have reported on oocyst viability status, nor has there been a systematic assessment of species/genotype distributions across different types of swine facilities. Ten swine waste lagoons associated with farrowing, nursery, finishing, and gestation operations were each sampled once a month for a year. Oocysts were extracted from triplicate 900-ml effluent samples, enumerated by microscopy, and assessed for viability by dye exclusion/vital stain assay. DNA was extracted from processed samples, and 18S ribosomal DNA (rDNA) genes were amplified by PCR and sequenced for species and genotype identification. Oocysts were observed at each sampling time at each lagoon. Annual mean concentrations of total oocysts and viable oocysts ranged between 24 and 51 and between 0.6 and 12 oocysts ml⁻¹ effluent, respectively. The species and genotype distributions were dominated (95 to 100%) by Cryptosporidium suis and Cryptosporidium pig genotype II, the latter of which was found at eight of the lagoons. The lagoon at the gestation facility was dominated by Cryptosporidium muris (90%), and one farrowing facility showed a mix of pig genotypes, Cryptosporidium muris, and various genotypes of C. parvum. The zoonotic C. parvum bovine genotype was observed five times out of 407 18S rDNA sequences analyzed. Our results indicate that pigs can have mixed Cryptosporidium infections, but infection with C. suis is likely to be dominant.Over the last few decades, pork production in North America has undergone significant growth and centralization into large concentrated swine (Sus scrofa) operations with more animals on fewer farms (18). A consequence of the increase in numbers of swine per facility is a concomitant increased concentration of swine waste. Present housing facilities for swine are designed to collect feces and urine in wastewater lagoons, in which the waste undergoes anaerobic transformations. One of several public health concerns over swine lagoons is the potential presence of infectious bacteria, viruses, and protozoa (4). Because of the notoriety given to swine waste lagoon spills in the coastal flood plain of North Carolina that were associated with a series of hurricanes in 1998 and 1999 (21), large-scale swine operations have become a focus of environmental and public health concerns.The cause of the massive outbreak of cryptosporidiosis in Milwaukee, WI, in 1993 was afterwards determined to be Cryptosporidium hominis, the human genotype of C. parvum and an obligate parasite of humans (33, 44). At the time, however, it was thought to be caused by C. parvum (22). Because of this initial misidentification of the cryptosporidial source of the outbreak, the connection between C. parvum and large-scale confined livestock operations has become a focused area of research. Although manure-associated outbreaks of C. parvum have implicated bovine sources, a Canadian study found that the prevalence of Cryptosporidium in swine lagoons was greater than that in dairy liquid manure (9). Olson et al. (24) also reported the presence of Cryptosporidium oocysts of undetermined genotype at four of six hog operations in Canada. Atwill et al. (2) observed C. parvum oocysts in feces of feral pigs. Hutchison et al. (13) observed C. parvum oocysts of undetermined genotype in 5 and 13% of fresh and stored fecal samples, respectively, from pigs of undeclared age. Guselle et al. (10) followed the course of a naturally occurring C. parvum infection in 33 weaned pigs. Following the protocol of the genetic analysis of Morgan et al. (23), Guselle et al. (10) identified this C. parvum genotype as being adapted to pigs. At the time, the zoonotic potential of this C. parvum pig-adapted genotype was considered uncertain (23).Recently, two genotypes of Cryptosporidium have been recognized as host adapted to swine: Cryptosporidium suis (formerly Cryptosporidium pig genotype I) and Cryptosporidium pig genotype II (28, 29). Xiao et al. (37) reported on an immunocompromised person who was infected with a Cryptosporidium pig genotype and thus implicated Cryptosporidium from swine as potentially zoonotic and a public health concern. Before molecular methods were developed to differentiate pig genotypes of Cryptosporidium from other species, C. parvum was thought to infect 152 species of mammals and consist of several cryptic species (6). An extensive survey of swine effluent from swine finishing operations in Ireland indicated a prevalence of both C. suis and Cryptosporidium pig genotype II (39). Hamnes et al. (11) reported prevalence of both C. suis and Cryptosporidium pig genotype II in feces of suckling pigs across Norway and thus implicated farrowing operations as sources of this parasite.Other than the prevalence of Cryptosporidium in feces of young pigs and effluent lagoons of older pigs in finishing operations, little comprehensive data on oocyst concentrations, viability of oocysts, and distributions of Cryptosporidium species and genotypes have been reported. No systematic study of swine lagoon effluents from large-scale facilities has been reported for the four separate stages of swine development, (i) breeding and gestation, (ii) farrowing (parturition), (iii) nursery (in which weaned piglets are kept until 8 to 9 weeks of age), and (iv) finishing (in which 8- to 9-week-old pigs are kept to market weight). The objective of this investigation was to determine for 1 year the frequencies, concentrations, viability statuses, and distributions of Cryptosporidium species and genotypes in lagoons associated with the four types of swine operations in the Southern Piedmont and in coastal plain watersheds of Georgia.     

Cryptosporidium apodemi sp. n. and Cryptosporidium ditrichi sp. n. (Apicomplexa: Cryptosporidiidae) in Apodemus spp.

Faecal samples from striped field mice (n = 72) and yellow-necked mice (n = 246) were screened for Cryptosporidium by microscopy and PCR/sequencing. Phylogenetic analysis of small-subunit rRNA, Cryptosporidium oocyst wall protein and actin gene sequences revealed the presence of C. parvum, C. hominis, C. muris and two new species, C. apodemi and C. ditrichi. Oocysts of C. apodemi are smaller than C. ditrichi and both are experimentally infectious for yellow-necked mice but not for common voles. Additionally, infection by C. ditrichi was established in one of three BALB/c mice. The prepatent period was 7–9 and 5–6 days post infection for C. apodemi and C. ditrichi, respectively. The patent period was greater than 30 days for both species. Infection intensity of C. ditrichi ranged from 4000–50,000 oocyst per gram of faeces and developmental stages of C. ditrichi were detected in the jejunum and ileum. In contrast, neither oocysts nor endogenous developmental stages of C. apodemi were detected in faecal or tissue samples, although C. apodemi DNA was detected in contents from the small and large intestine. Morphological, genetic, and biological data support the establishment of C. apodemi and C. ditrichi as a separate species of the genus Cryptosporidium.     

Genetic Diversity within Cryptosporidium parvum and Related Cryptosporidium Species

To assess the genetic diversity in Cryptosporidium parvum, we have sequenced the small subunit (SSU) rRNA gene of seven Cryptosporidium spp., various isolates of C. parvum from eight hosts, and a Cryptosporidium isolate from a desert monitor. Phylogenetic analysis of the SSU rRNA sequences confirmed the multispecies nature of the genus Cryptosporidium, with at least four distinct species (C. parvum, C. baileyi, C. muris, and C. serpentis). Other species previously defined by biologic characteristics, including C. wrairi, C. meleagridis, and C. felis, and the desert monitor isolate, clustered together or within C. parvum. Extensive genetic diversities were present among C. parvum isolates from humans, calves, pigs, dogs, mice, ferrets, marsupials, and a monkey. In general, specific genotypes were associated with specific host species. A PCR-restriction fragment length polymorphism technique previously developed by us could differentiate most Cryptosporidium spp. and C. parvum genotypes, but sequence analysis of the PCR product was needed to differentiate C. wrairi and C. meleagridis from some of the C. parvum genotypes. These results indicate a need for revision in the taxonomy and assessment of the zoonotic potential of some animal C. parvum isolates.     

Molecular Characterization of Cryptosporidium Isolates from Humans and Animals in Iran

Isolates of Cryptosporidium spp. from human and animal hosts in Iran were characterized on the basis of both the 18S rRNA gene and the Laxer locus. Three Cryptosporidium species, C. hominis, C. parvum, and C. meleagridis, were recognized, and zoonotically transmitted C. parvum was the predominant species found in humans.     

Occurrence of Cryptosporidium and Giardia in Wild Ducks along the Rio Grande River Valley in Southern New Mexico

Fecal samples were taken from wild ducks on the lower Rio Grande River around Las Cruces, N. Mex., from September 2000 to January 2001. Giardia cysts and Cryptosporidium oocysts were purified from 69 samples by sucrose enrichment followed by cesium chloride (CsCl) gradient centrifugation and were viewed via fluorescent-antibody (FA) staining. For some samples, recovered cysts and oocysts were further screened via PCR to determine the presence of Giardia lamblia and Crytosporidium parvum. The results of this study indicate that 49% of the ducks were carriers of Cryptosporidium, and the Cryptosporidium oocyst concentrations ranged from 0 to 2,182 oocysts per g of feces (mean ± standard deviation, 47.53 ± 270.3 oocysts per g); also, 28% of the ducks were positive for Giardia, and the Giardia cyst concentrations ranged from 0 to 29,293 cysts per g of feces (mean ± standard deviation, 436 ± 3,525.4 cysts per g). Of the 69 samples, only 14 had (oo)cyst concentrations that were above the PCR detection limit. Samples did test positive for Cryptosporidium sp. However, C. parvum and G. lamblia were not detected in any of the 14 samples tested by PCR. Ducks on their southern migration through southern New Mexico were positive for Cryptosporidium and Giardia as determined by FA staining, but C. parvum and G. lamblia were not detected.