Multilocus fragment typing and genetic structure of Cryptosporidium parvum Isolates from diarrheic preweaned calves in Spain

First identification of Cryptosporidium parvum virus 1 (CSpV1) in various subtypes of Cryptosporidium parvum from diarrheic calves, lambs and goat kids from France

Cryptosporidium spp. remain a major cause of waterborne diarrhea and illness in developing countries and represent a significant burden to farmers worldwide. Cryptosporidium parvum virus 1 (CSpV1), of the genus Cryspovirus, was first reported to be present in the cytoplasm of C. parvum in 1997. Full-length genome sequences have been obtained from C. parvum from Iowa (Iowa), Kansas (KSU) and China. We aimed at characterizing the genome of CSpV1 from France and used sequence analysis from Cryptosporidium isolates to explore whether CSpV1 genome diversity varies over time, with geographical sampling location, C. parvum genetic diversity, or ruminant host species. A total of 123 fecal samples of cattle, sheep and goats were collected from 17 different French departments (57 diseased animal fecal samples and 66 healthy animal fecal samples). Subtyping analysis of the C. parvum isolates revealed the presence of two zoonotic subtype families IIa and IId. Sequence analysis of CSpV1 revealed that all CSpV1 from France, regardless of the subtype of C. parvum (IIaA15G2R1, IIaA17G2R1 and IIdA18G1R1) are more closely related to CSpV1 from Turkey, and cluster on a distinct branch from CSpV1 collected from C. parvum subtype IIaA15G2R1 from Asia and North America. We also found that samples collected on a given year or successive years in a given location are more likely to host the same subtype of C. parvum and the same CSpV1 strain. Yet, there is no distinct clustering of CSpV1 per French department or ruminants, probably due to trade, and transmission of C. parvum among host species. Our results point towards (i) a close association between CSpV1 movement and C. parvum movement, (ii) recent migrations of C. parvum among distantly located departments and (iii) incidental transmission of C. parvum between ruminants. All together, these results provide insightful information regarding CSpV1 evolution and suggest the virus might be used as an epidemiological tracer for C. parvum. Future studies need to investigate CSpV1's role in C. parvum virulence and on subtype ability to infect different species.

Multilocus Sequence Typing as a Useful Tool for the Study of the Genetic Diversity and Population Structure of Cryptosporidium Spp

One of the most important aquatic parasites in industrialized countries, Cryptosporidium spp., is a major cause of diarrheal disease in humans and animals worldwide. The contingent evolution of cryptosporidia with hosts, host adaptation, and geographic variation contributed to the creation of species subtypes, thereby shaping their population genetic structures. Multilocus typing tools for population genetic characterizations of transmission dynamics and delineation of mechanisms for the emergence of virulent subtypes have played an important role in improving our understanding of the transmission of this parasite. However, to better understand the significance of different subtypes with clinical disease manifestations and transmission risks, a large number of samples and preferably from different geographical areas need to be analyzed. This review provides an analysis of genetic variation through multilocus sequence typing, provides an overview of subtypes, typing gene markers for Cryptosporidium parvum, Cryptosporidium hominis, Cryptosporidium muris and Cryptosporidium andersoni genotypes and an overview of the hosts of these parasites.

Taxonomy and molecular epidemiology of Cryptosporidium and Giardia - a 50 year perspective (1971-2021)

The protozoan parasites Cryptosporidium and Giardia are significant causes of diarrhoea worldwide and are responsible for numerous waterborne and foodborne outbreaks of diseases. Over the last 50 years, the development of improved detection and typing tools has facilitated the expanding range of named species. Currently at least 44 Cryptosporidium spp. and >120 genotypes, and nine Giardia spp., are recognised. Many of these Cryptosporidium genotypes will likely be described as species in the future. The phylogenetic placement of Cryptosporidium at the genus level is still unclear and further research is required to better understand its evolutionary origins. Zoonotic transmission has long been known to play an important role in the epidemiology of cryptosporidiosis and giardiasis, and the development and application of next generation sequencing tools is providing evidence for this. Comparative whole genome sequencing is also providing key information on the genetic mechanisms for host specificity and human infectivity, and will enable One Health management of these zoonotic parasites in the future.

Population structure and geographical segregation of Cryptosporidium parvum IId subtypes in cattle in China

Background

Cryptosporidium parvum is a zoonotic pathogen worldwide. Extensive genetic diversity and complex population structures exist in C. parvum in different geographical regions and hosts. Unlike the IIa subtype family, which is responsible for most zoonotic C. parvum infections in industrialized countries, IId is identified as the dominant subtype family in farm animals, rodents and humans in China. Thus far, the population genetic characteristics of IId subtypes in calves in China are not clear.

Methods

In the present study, 46 C. parvum isolates from dairy and beef cattle in six provinces and regions in China were characterized using sequence analysis of eight genetic loci, including msc6-7, rpgr, msc6-5, dz-hrgp, chom3t, hsp70, mucin1 and gp60. They belonged to three IId subtypes in the gp60 gene, including IIdA20G1 (n = 17), IIdA19G1 (n = 24) and IIdA15G1 (n = 5). The data generated were analyzed for population genetic structures of C. parvum using DnaSP and LIAN and subpopulation structures using STRUCTURE, RAxML, Arlequin, GENALEX and Network.

Results

Seventeen multilocus genotypes were identified. The results of linkage disequilibrium analysis indicated the presence of an epidemic genetic structure in the C. parvum IId population. When isolates of various geographical areas were treated as individual subpopulations, maximum likelihood inference of phylogeny, pairwise genetic distance analysis, substructure analysis, principal components analysis and network analysis all provided evidence for geographical segregation of subpopulations in Heilongjiang, Hebei and Xinjiang. In contrast, isolates from Guangdong, Shanghai and Jiangsu were genetically similar to each other.

Conclusions

Data from the multilocus analysis have revealed a much higher genetic diversity of C. parvum than gp60 sequence analysis. Despite an epidemic population structure, there is an apparent geographical segregation in C. parvum subpopulations within China.

Species and genotypes causing human cryptosporidiosis in New Zealand

Cryptosporidium is one of the most common causes of diarrhoea around the world. Successful management and prevention of this infectious disease requires knowledge of the diversity of species and subtypes causing human disease. We use sequence data from 2598 human faecal samples collected during an 11-year period (2009-2019) to better understand the impact of different species and subtypes on public health and to gain insights into the variation of human cryptosporidiosis in New Zealand. Human cryptosporidiosis in New Zealand is caused by a high diversity of species and subtypes. Six species cause human disease in New Zealand: C. hominis, C. parvum, C. cuniculus, C. erinacei, C. meleagridis and C. tyzzeri. Sequence analysis of the gp60 gene identified 16 subtype families and 101 subtypes. Cryptosporidium hominis IbA10G2 and C. parvum IIaA18G3R1 were the most frequent causes of human cryptosporidiosis with 27% and 29% of infections, respectively. Cryptosporidium hominis presented a peak of notified human cases during autumn (March-May) whereas most cases of human cryptosporidiosis caused by C. parvum are found during the calving and lambing season in spring (September-November). We also reported some subtypes that have been rarely detected in other countries such as IbA20G2 and IIoA13G1 and a low prevalence of the hypertransmissible and virulent IIaA15G2R1. This study provides insight into the variability of cryptosporidiosis in New Zealand essential for disease management and surveillance to prevent the introduction or spread of new species and subtypes in the country.

Multilocus fragment analysis of Cryptosporidium parvum from pre-weaned calves in Colombia

The intra-species genetic diversity of Cryptosporidium parvum in dairy cattle farms in the central area of Colombia was investigated using a multilocus fragment typing approach with nine variable-number tandem-repeat (VNTR) loci and the gp60 gene. Genomic DNA of 70 C. parvum isolates from pre-weaned calves in 32 farms was analysed. Most markers showed two (ML1, MSB, CP47, and MSC6-7) or three alleles (5B12, Cgd2_3850, and Cgd6_5400), although they exhibited a major allele accounting for more than 69% of specimens, which explains their low discriminatory index. The TP14 microsatellite was monomorphic while a total of six alleles were found at the ML2 microsatellite. The two novel allelic variants (219bp, 245bp) exhibited by more than 36% of specimens at the latter locus were a remarkable finding. The 10-markers typing tool provided a Hunter-Gaston discriminatory value of 0.940 (95% CI, 0.918 - 0.961) and differentiated 22 multilocus subtypes (MLTs). Nevertheless, the combination of the three most informative markers (ML2, gp60, and Cgd2_3850) differentiated 68% of MLTs and hardly impaired the discriminatory index. The fact that many MLTs (13/22) were distinctive for individual farms provides evidence for the endemic nature of the infection and the major role played by transmission within farms. The eBURST algorithm suggested a low degree of genetic divergence. All but three MLTs were clustered in a clonal complex with a star-like topology typical of clonal expansion, however linkage analysis did not find evidence of linkage disequilibrium. Bayesian analysis also identified a genetic structure with K = 3 being the best estimation of ancestral clusters, although a large proportion of isolates (35%) could not be allocated to a single population, which indicates their mixed origin. The results confirm the genetic distinctiveness of C. parvum in cattle farms in this geographical area. This is the first multilocus analysis on the intra-specific variability of Cryptosporidium from calves in South America.

Multilocus sequence typing of Cryptosporidium hominis from northern India

BACKGROUND & OBJECTIVES

Human cryptosporidiosis is endemic worldwide, and at least eight species have been reported in humans; the most common being Cryptosporidium hominis and C. parvum. Detailed understanding of the epidemiology of Cryptosporidium is increasingly facilitated using standardized universal technique for species differentiation and subtyping. In this study micro- and minisatellite targets in chromosome 6 were used to assess genetic diversity of C. hominis by sequence length polymorphisms along with single nucleotide polymorphisms (SNPs).

METHODS

A total of 84 Cryptosporidium positive stool specimens were subjected to speciation and genotyping using small subunit (SSU) ribosomal RNA (rRNA) as the target gene. Genetic heterogeneity amongst C. hominis isolates was assessed by sequencing minisatellites, microsatellites and polymorphic markers including genes encoding the 60 kDa glycoprotein (GP60), a 47 kDa protein (CP47), a mucin-like protein (Mucin-1), a serine repeat antigen (MSC6-7) and a 56 kDa transmembrane protein (CP56).

RESULTS

Of the 84 Cryptosporidium positive stool specimens, 77 (92%) were positive by SSU rRNA gene polymerase chain reaction (PCR) assay. Of these 77 isolates, 54 were identified as C. hominis and 23 as C. parvum. Of all the loci studied by multilocus sequence typing (MLST), GP60 gene could reveal the highest genetic diversity. Population substructure analysis of C. hominis performed by combined sequence length and nucleotide polymorphism showed nine multilocus subtypes, all of which were distinct groups in the study population.

INTERPRETATION & CONCLUSIONS

MLST, a powerful discriminatory test, demonstrated both variations and distribution pattern of Cryptosporidium species and its subtypes.

Molecular epidemiologic tools for waterborne pathogens Cryptosporidium spp. and Giardia duodenalis

Molecular diagnostic tools have played an important role in improving our understanding of the transmission of Cryptosporidium spp. and Giardia duodenalis, which are two of the most important waterborne parasites in industrialized nations. Genotyping tools are frequently used in the identification of host-adapted Cryptosporidium species and G. duodenalis assemblages, allowing the assessment of infection sources in humans and public health potential of parasites found in animals and the environment. In contrast, subtyping tools are more often used in case linkages, advanced tracking of infections sources, and assessment of disease burdens attributable to anthroponotic and zoonotic transmission. More recently, multilocus typing tools have been developed for population genetic characterizations of transmission dynamics and delineation of mechanisms for the emergence of virulent subtypes. With the recent development in next generation sequencing techniques, whole genome sequencing and comparative genomic analysis are increasingly used in characterizing Cryptosporidium spp. and G. duodenalis. The use of these tools in epidemiologic studies has identified significant differences in the transmission of Cryptosporidium spp. in humans between developing countries and industrialized nations, especially the role of zoonotic transmission in human infection. Geographic differences are also present in the distribution of G. duodenalis assemblages A and B in humans. In contrast, there is little evidence for widespread zoonotic transmission of giardiasis in both developing and industrialized countries. Differences in virulence have been identified among Cryptosporidium species and subtypes, and possibly between G. duodenalis assemblages A and B, and genetic recombination has been identified as one mechanism for the emergence of virulent C. hominis subtypes. These recent advances are providing insight into the epidemiology of waterborne protozoan parasites in both developing and developed countries.

Diversity of Cryptosporidium species occurring in sheep and goat breeds reared in Poland

The aim of this study was molecular identification of Cryptosporidium species and assessment of their prevalence in different breeds of sheep and goat reared in Poland. In addition, the relationship between animal age, breed type, and the frequency of Cryptosporidium infections was determined. Fecal samples from 234 lambs and 105 goat kids aged up to 9 weeks, representing 24 breeds and their cross-breeds were collected from 71 small ruminant farms across Poland. The identification of Cryptosporidium species was performed at the 18 SSU ribosomal RNA (rRNA) and COWP loci followed by subtyping of C. parvum and C. hominis strains at GP60 gene locus. The presence of Cryptosporidium DNA at the 18 SSU rRNA locus was detected in 45/234 (19.2%) lamb feces samples and in 39/105 (37.1%) taken from goats. The following Cryptosporidium species: C. xiaoi, C. bovis, C. ubiquitum, C. parvum, and C. hominis were detected in small ruminants. Infections caused by C. xiaoi were predominant without favoring any tested animal species. Subsequent GP60 subtyping revealed the presence of C. parvum IIaA17G1R1 subtype in sheep and IIdA23G1 subtype in goats. IIdA23G1 subtype was detected in a goat host for the first time. There were no significant differences found in frequency of infections between the age groups (<3 and 3-9 weeks) of lambs (P = 0.14, α > 0.05) or goat kids (P = 0.06, α > 0.05). In addition, there was no correlation observed between the frequency in occurrence of particular parasite species and breed type in relation to native sheep breeds (F = 0.11; P = 0.990 > 0.05). In the case of goats, more breed-related differences in parasite occurrence were found. The results of this study improve our knowledge on the breed-related occurrence of Cryptosporidium infections in the population of small ruminants reared in Poland.

Intra-Species Genetic Diversity and Clonal Structure of Cryptosporidium parvum in Sheep Farms in a Confined Geographical Area in Northeastern Spain

A multilocus fragment typing approach including eleven variable-number tandem-repeat (VNTR) loci and the GP60 gene was used to investigate the intra-farm and intra-host genetic diversity of Cryptosporidium parvum in sheep farms in a confined area in northeastern Spain. Genomic DNA samples of 113 C. parvum isolates from diarrheic pre-weaned lambs collected in 49 meat-type sheep farms were analyzed. Loci exhibited various degrees of polymorphism, the finding of 7–9 alleles in the four most variable and discriminatory markers (ML2, Cgd6_5400, Cgd6_3940, and GP60) being remarkable. The combination of alleles at the twelve loci identified a total of 74 multilocus subtypes (MLTs) and provided a Hunter-Gaston discriminatory index of 0.988 (95% CI, 0.979−0.996). The finding that most MLTs (n = 64) were unique to individual farms evidenced that cryptosporidial infection is mainly transmitted within sheep flocks, with herd-to-herd transmission playing a secondary role. Limited intra- host variability was found, since only five isolates were genotypically mixed. In contrast, a significant intra-farm genetic diversity was seen, with the presence of multiple MLTs on more than a half of the farms (28/46), suggesting frequent mutations or genetic exchange through recombination. Comparison with a previous study in calves in northern Spain using the same 12-loci typing approach showed differences in the identity of major alleles at most loci, with a single MLT being shared between lambs and calves. Analysis of evolutionary descent by the algorithm eBURST indicated a high degree of genetic divergence, with over 41% MLTs appearing as singletons along with a high number of clonal complexes, most of them linking only two MLTs. Bayesian Structure analysis and F statistics also revealed the genetic remoteness of most C. parvum isolates and no ancestral population size was chosen. Linkage analysis evidenced a prevalent pattern of clonality within the parasite population.

Intra-Species Diversity and Panmictic Structure of Cryptosporidium parvum Populations in Cattle Farms in Northern Spain

The intra-herd and intra-host genetic variability of 123 Cryptosporidium parvum isolates was investigated using a multilocus fragment typing approach with eleven variable-number tandem-repeat (VNTR) loci and the GP60 gene. Isolates were collected from intensively farmed diarrheic pre-weaned calves originating from 31 dairy farms in three adjoining regions in northern Spain (País Vasco, Cantabria and Asturias). The multilocus tool demonstrated an acceptable typeability, with 104/123 samples amplifying at all twelve loci. The ML2, TP14, GP60 and the previously un-described minisatellite at locus cgd2_3850 were the most discriminatory markers, while others may be dismissed as monomorphic (MSB) or less informative (CP47, ML1 and the novel minisatellites at loci Cgd1_3670 and Cgd6_3940). The 12-satellite typing tool provided a Hunter-Gaston index (HGDI) of 0.987 (95% CI, 0.982-0.992), and differentiated a total of 70 multilocus subtypes (MLTs). The inclusion of only the four most discriminatory markers dramatically reduced the number of MLTs (n: 44) but hardly reduced the HGDI value. A total of 54 MLTs were distinctive for individual farms, indicating that cryptosporidiosis is an endemic condition on most cattle farms. However, a high rate of mixed infections was detected, suggesting frequent meiotic recombination. Namely, multiple MLTs were seen in most farms where several specimens were analyzed (90.5%), with up to 9 MLTs being found on one farm, and individual specimens with mixed populations being reported on 11/29 farms. Bayesian Structure analysis showed that over 35% of isolates had mixed ancestry and analysis of evolutionary descent using the eBURST algorithm detected a high rate (21.4%) of MLTs appearing as singletons, indicating a high degree of genetic divergence. Linkage analysis found evidence of linkage equilibrium and an overall panmictic structure within the C. parvum population in this discrete geographical area.

Development of a framework for genotyping bovine-derived Cryptosporidium parvum, using a multilocus fragment typing tool

Background

There is a need for an integrated genotyping approach for C. parvum; no sufficiently discriminatory scheme to date has been fully validated or widely adopted by veterinary or public health researchers. Multilocus fragment typing (MLFT) can provide good differentiation and is relatively quick and cheap to perform. A MLFT tool was assessed in terms of its typeability, specificity, precision (repeatability and reproducibility), accuracy and ability to genotypically discriminate bovine-derived Cryptosporidium parvum.

Methods

With the aim of working towards a consensus, six markers were selected for inclusion based on their successful application in previous studies: MM5, MM18, MM19, TP14, MS1 and MS9. Alleles were assigned according to the fragment sizes of repeat regions amplified, as determined by capillary electrophoresis. In addition, a region of the GP60 gene was amplified and sequenced to determine gp60 subtype and this was added to the allelic profiles of the 6 markers to determine the multilocus genotype (MLG). The MLFT tool was applied to 140 C. parvum samples collected in two cross-sectional studies of UK calves, conducted in Cheshire in 2004 (principally dairy animals) and Aberdeenshire/Caithness in 2011 (beef animals).

Results

Typeability was 84 %. The primers did not amplify tested non-parvum species frequently detected in cattle. In terms of repeatability, within- and between-run fragment sizes showed little variability. Between laboratories, fragment sizes differed but allele calling was reproducible. The MLFT had good discriminatory ability (Simpson’s Index of Diversity, SID, was 0.92), compared to gp60 sequencing alone (SID 0.44). Some markers were more informative than others, with MS1 and MS9 proving monoallelic in tested samples.

Conclusions

Further inter-laboratory trials are now warranted with the inclusion of human-derived C. parvum samples, allowing progress towards an integrated, standardised typing scheme to enable source attribution and to determine the role of livestock in future outbreaks of human C. parvum.

Cryptosporidiumspecies in humans and animals: current understanding and research needs

Cryptosporidiumis increasingly recognized as one of the major causes of moderate to severe diarrhoea in developing countries. With treatment options limited, control relies on knowledge of the biology and transmission of the members of the genus responsible for disease. Currently, 26 species are recognized as valid on the basis of morphological, biological and molecular data. Of the nearly 20Cryptosporidiumspecies and genotypes that have been reported in humans,Cryptosporidium hominisandCryptosporidium parvumare responsible for the majority of infections. Livestock, particularly cattle, are one of the most important reservoirs of zoonotic infections. Domesticated and wild animals can each be infected with severalCryptosporidiumspecies or genotypes that have only a narrow host range and therefore have no major public health significance. Recent advances in next-generation sequencing techniques will significantly improve our understanding of the taxonomy and transmission ofCryptosporidiumspecies, and the investigation of outbreaks and monitoring of emerging and virulent subtypes. Important research gaps remain including a lack of subtyping tools for manyCryptosporidiumspecies of public and veterinary health importance, and poor understanding of the genetic determinants of host specificity ofCryptosporidiumspecies and impact of climate change on the transmission ofCryptosporidium.

MLST subtypes and population genetic structure of Cryptosporidium andersoni from dairy cattle and beef cattle in northeastern China's Heilongjiang Province

Cattle are the main reservoir host of C. andersoni, which shows a predominance in yearlings and adults of cattle. To understand the subtypes of C. andersoni and the population genetic structure in Heilongjiang Province, fecal specimens were collected from 420 dairy cattle and 405 beef cattle at the age of 12-14 months in eight cattle farms in five areas within this province and were screened for the presence of Cryptosporidium oocysts by microscopy after Sheather's sugar flotation technique. The average prevalence of Cryptosporidium spp. was 19.15% (158/825) and all the Cryptosporidium isolates were identified as C. andersoni by the SSU rRNA gene nested PCR-RFLP using SspI, VspI and MboII restriction enzymes. A total of 50 C. andersoni isolates were randomly selected and sequenced to confirm the RFLP results before they were subtyped by multilocus sequence typing (MLST) at the four microsatellite/minisatellite loci (MS1, MS2, MS3 and MS16). Four, one, two and one haplotypes were obtained at the four loci, respectively. The MLST subtype A4,A4,A4,A1 showed an absolute predominance and a wide distribution among the six MLST subtypes obtained in the investigated areas. Linkage disequilibrium analysis showed the presence of a clonal population genetic structure of C. andersoni in cattle, suggesting the absence of recombination among lineages. The finding of a clonal population genetic structure indicated that the prevalence of C. andersoni in cattle in Heilongjiang Province is not attributed to the introduction of cattle. Thus, prevention and control strategies should be focused on making stricter measures to avoid the occurrence of cross-transmission and re-infection between cattle individuals. These molecular data will also be helpful to explore the source attribution of infection/contamination of C. andersoni and to elucidate its transmission dynamics in Heilongjiang Province, even in China.

Validation of fragment analysis by capillary electrophoresis to resolve mixed infections by Cryptosporidium parvum subpopulations

The potential of capillary electrophoresis (CE)-based DNA fragment analysis to identify mixed infections by Cryptosporidium parvum subpopulations was validated using high-resolution slab-gel electrophoresis. A selection of genomic DNA samples from C. parvum isolates with CE electropherogram profiles indicative of two concurrent alleles at one or more of six mini and microsatellite loci (MSB, MS5, ML1, ML2, TP14, 5B12) were analysed. These loci were PCR-amplified and products separated on precast Spreadex EL600 slab gels. ML1 PCR products differing by as little as 3 bp in length were visible after Spreadex gel electrophoresis and fragments were clearly separated for all but the ML2 and 5B12 loci, which generated stutter bands. No stuttering was seen for the remaining markers, having three or more nucleotide motifs in the repeat region. For each sample, the two bands of interest were excised separately, DNA extracted and re-amplified by PCR. Sequencing of these PCR products revealed the expected sequences for both alleles at most samples, except for the longest ML2 and 5B12 alleles which generated indeterminate sequences. Two novel MS5 alleles were successfully sequenced after PCR re-amplification. These findings demonstrate the utility of high-resolution Spreadex gels for analysing the polymorphism of satellite markers of Cryptosporidium isolates and support the validity of CE as a reliable and sensitive tool for detecting mixed Cryptosporidium subpopulations in a single-host infection.

Host association of Cryptosporidium parvum populations infecting domestic ruminants in Spain

A stock of 148 Cryptosporidium parvum DNA extracts from lambs and goat kids selected from a previous study examining the occurrence of Cryptosporidium species and GP60 subtypes in diarrheic lambs and goat kids in northeastern Spain was further characterized by a multilocus fragment typing approach with six mini- and microsatellite loci. Various degrees of polymorphism were seen at all but the MS5 locus, although all markers exhibited two major alleles accounting for more than 75% of isolates. A total of 56 multilocus subtypes (MLTs) from lambs (48 MLTs) and goat kids (11 MLTs) were identified. Individual isolates with mixed MLTs were detected on more than 25% of the farms, but most MLTs (33) were distinctive for individual farms, revealing the endemicity of cryptosporidial infections on sheep and goat farms. Comparison with a previous study in calves in northern Spain using the same six-locus subtyping scheme showed the presence of host-associated alleles, differences in the identity of major alleles, and very little overlap in MLTs between C. parvum isolates from lambs and those from calves (1 MLT) or isolates from lambs and those from goat kids (3 MLTs). The Hunter-Gaston index of the multilocus technique was 0.976 (95% confidence interval [CI], 0.970 to 0.982), which supports its high discriminatory power for strain typing and epidemiological tracking. Population analyses revealed the presence of two host-associated subpopulations showing epidemic clonality among the C. parvum isolates infecting calves and lambs/goat kids, respectively, although evidence of genetic flow between the two subpopulations was also detected.

Panmictic structure of the Cryptosporidium parvum population in Irish calves: influence of prevalence and host movement

In total, 245 Cryptosporidium parvum specimens obtained from calves in 205 Irish herds between 2003 and 2005 were subtyped by sequencing the glycoprotein gene gp60 and performing multilocus analysis of seven markers. The transmission dynamics of C. parvum and the influence of temporal, spatial, parasitic, and host-related factors on the parasite (sub)populations were studied. The relationship of those factors to the risk of cryptosporidiosis was also investigated using results from 1,368 fecal specimens submitted to the veterinary laboratories for routine diagnosis during 2005. The prevalence was greatest in the northwest and midwest of the country and on farms that bought in calves. The panmixia (random mating) detected in the C. parvum population may relate to its high prevalence, the cattle density, and the frequent movement of cattle. However, local variations in these factors were reflected in the C. parvum subpopulations. This study demonstrated the importance of biosecurity in the control of bovine cryptosporidiosis (e.g., isolation and testing of calves before introduction into a herd). Furthermore, the zoonotic risk of C. parvum was confirmed, as most specimens possessed GP60 and MS1 subtypes previously described in humans.

Assessment of polymorphic genetic markers for multi-locus typing of Cryptosporidium parvum and Cryptosporidium hominis

The use of high resolution molecular tools to study Cryptosporidium parvum and Cryptosporidium hominis intra-species variation is becoming common practice, but there is currently no consensus in the methods used. The most commonly applied tool is partial gp60 gene sequence analysis. However, multi-locus schemes are acknowledged to improve resolution over analysis of a single locus, which neglects potential re-assortment of genes during the sexual phase of the Cryptosporidium life-cycle. Multi-locus markers have been investigated in isolates from a variety of sampling frames, in varying combinations and using different assays and methods of analysis. To identify the most informative markers as candidates for the development of a standardised multi-locus fragment size-based typing (MLFT) scheme to integrate with epidemiological analyses, we examined the published literature. A total of 31 MLFT studies were found, employing 55 markers of which 45 were applied to both C. parvum and C. hominis. Of the studies, 11 had sufficient raw data, from three or more markers, and a sampling frame containing at least 50 samples, for meaningful in-depth analysis using assessment criteria based on the sampling frame, study size, number of markers investigated in each study, marker characteristics (>2 nucleotide repeats) and the combinations of markers generating all possible multi-locus genotypes. Markers investigated differed between C. hominis and C. parvum. When each scheme was analysed for the fewest markers required to identify 95% of all MLFTs, some redundancy was identified in all schemes; an average redundancy of 40% for C. hominis and 27% for C. parvum. Ranking markers, based on the most productive combinations, identified two different sets of potentially most informative candidate markers, one for each species. These will be subjected to technical evaluation including typability (percentage of samples generating a complete multi-locus type) and discriminatory power by direct fragment size analysis and analysed for correlation with epidemiological data in suitable sampling frames. The establishment of a group of users and agreed subtyping scheme for improved epidemiological and public health investigations of C. parvum and C. hominis will facilitate further developments and consideration of technological advances in a harmonised manner.

Evidence of host-associated populations of Cryptosporidium parvum in Italy

Recent studies have revealed extensive genetic variation among isolates of Cryptosporidium parvum, an Apicomplexan parasite that causes gastroenteritis in both humans and animals worldwide. The parasite's population structure is influenced by the intensity of transmission, the host-parasite interaction, and husbandry practices. As a result, C. parvum populations can be panmictic, clonal, or even epidemic on both a local scale and a larger geographical scale. To extend the study of C. parvum populations to an unexplored region, 173 isolates of C. parvum collected in Italy from humans and livestock (calf, sheep, and goat) over a 10-year period were genotyped using a multilocus scheme based on 7 mini- and microsatellite loci. In agreement with other studies, extensive polymorphism was observed, with 102 distinct multilocus genotypes (MLGs) identified among 173 isolates. The presence of linkage disequilibrium, the confinement of MLGs to individual farms, and the relationship of many MLGs inferred using network analysis (eBURST) suggest a predominantly clonal population structure, but there is also evidence that part of the diversity can be explained by genetic exchange. MLGs from goats were found to differ from bovine and sheep MLGs, supporting the existence of C. parvum subpopulations. Finally, MLGs from isolates collected between 1997 and 1999 were also identified as a distinct subgroup in principal-component analysis and eBURST analysis, suggesting a continuous introduction of novel genotypes in the parasite population.

Assessment of three methods for multilocus fragment typing of Cryptosporidium parvum from domestic ruminants in north west Spain

The performance of three different methods, capillary electrophoresis (CE), high resolution slab-gel electrophoresis and sequencing, for PCR fragment size analysis of two Cryptosporidium parvum microsatellite regions, ML1 and ML2, was investigated by analysing 27 isolates from calves and 14 from lambs. To assess genetic variability of this protozoan in domestic ruminants in north west Spain, results were combined with sequence analysis of the 60 kDa glycoprotein (GP60) gene creating a multilocus type and analysed by farm and host species. CE showed greater overall typability (T), discriminatory power and ease of use than slab-gel electrophoresis and sequencing which were both affected by PCR stutter, especially at ML2. CE fragment sizes were consistently 4 bp longer compared to sequencing which is considered the gold standard for allele sizing but which gave the lowest typability; CE sizes were therefore adjusted. Only three alleles were identified at the ML1 locus (ML1-238, ML1-229 and ML1-226). The ML2 locus was more polymorphic and eight alleles were found (ML2-235, ML2-233, ML2-231, ML2-229, ML2-227, ML2-225, ML2-201 and ML2-176). Adjusted ML1 and ML2 CE fragment sizes were combined with GP60 subtype for 37 of the 41 C. parvum isolates which were typable at all three loci (T=0.90): nine multilocus types (MLTs) were identified. The discriminatory power of the 3-locus typing method was 0.83. Greater genetic variability was observed in calf isolates (7 MLTs) than in those from lambs (4 MLTs) although more calf isolates were studied. The most common MLT in cattle was MLT1 (ML1-238, ML2-231, GP60 subtype IIaA15G2R1), while MLT3 (ML1-238, ML2-227, GP60 IIaA16G3R1) was predominant in lambs. Our findings demonstrate that high discrimination can be achieved by means of multilocus typing. CE appears to be an economic and rapid option for performing microsatellite fragment size analysis offering good typability, discrimination and ease of use but may require calibration to sequenced standards.