Abstract
The objective of this study was to determine the prevalence, species and subtypes of Cryptosporidium infecting yaks in the Qinghai Province of Northwestern China. The prevalence of Cryptosporidium spp. was detected by microscopy and nested-PCR. A total of 586 fecal samples were collected from yaks in 6 counties, of which 142 (24.2%) samples tested positive for Cryptosporidium. The small subunit (SSU) rRNA gene of fifty-five samples were amplified and sequenced successfully and demonstrated that Cryptosporidium bovis (31/55, 56.4%) was the most common species, followed by C. parvum (16/55, 29.1%) and C. ryanae (5/55, 9.0%). Mixed infections of C. parvum and C. bovis (n = 2), C. ryanae and C. bovis (n = 1) were also detected. All three species were found in yaks ranging in age from <1 year, 1–2 years, to >2 years. Cryptosporidium was most commonly detected in spring (28.4%), followed by summer (20.9%), then winter (17.5%). Cryptosporidium parvum positive samples were subtyped using the 60 kDa glycoprotein (gp60) gene. Subtypes IIaA15G2R1 (n = 8), IIaA16G2R1 (n = 2), IIaA14G1R1 (n = 1), IIaA14G2R1 (n = 1) and IIaA16G3R1 (n = 1) were detected. All of these subtypes are zoonotic, and may pose a potential threat to human health.
Introduction
Cryptosporidiosis is a parasitic zoonosis which can cause sustained, serious and often life-threatening disease in immunosuppressed patients and animals [1]. Cryptosporidium spp. has been found to infect mammals, birds, reptiles, amphibians and fish [2]. Cryptosporidium infection occurs via many diverse transmission routes, such as direct contact with infected animals or ingestion of contaminated food and water [3]. Currently, nitazoxanide (NTZ) is approved for the treatment of cryptosporidiosis in children and immunocompetent adults in the United States, however, treatment failures have been reported and NTZ is ineffective for the treatment of immunocompromised individuals [4]. Halofuginone lactate (HL) is registered in several countries for the prevention of calf cryptosporidiosis, but the anti-Cryptosporidium activity and clinical benefit of HL are limited in the presence of other enteropathogens [5].
Most investigations have demonstrated that Cryptosporidium parvum, C. bovis, C. ryanae and C. andersoni are the major species in cattle [6], and the distribution of these species in cattle is age-related. Cryptosporidium parvum is mainly found in pre-weaned calves [7], C. bovis and C. ryanae in post-weaned calves [8], and C. andersoni is reported to primarily infect adult calves [9]. Other species such as C. felis [10], C. scrofarum [11], Cryptosporidium suis-like genotype [12], C. suis [12], C. hominis [13], [14], C. ubiquitum [15] and C. meleagridis [16] were also described in cattle.
Yaks (Bos grunniens) reside at a higher altitude than any other member of the bovid family (2,500 to 6,000 m), and live in the Himalayan region (Nepalese Himalayas, Indian Kashmir, Mongolia, and the Qinghai-Tibetan plateau of China).The total global population of yaks is about 14 million, of which approximately 13 million (93%) domestic yaks live in China, and about 5 million yaks reside in the Qinghai Province in particular [17]. Yaks live in extremely poor conditions with average temperatures of −4°C to 8°C year-round, low oxygen content, high altitude and no completely frost-free periods. The products (milk, meat, bones, and wool) from yaks are a necessity for pastoral people. Therefore, research into the pathogens of yaks is important for the people of these regions.
In China, most studies of the prevalence of Cryptosporidium spp. in yaks were based on microscopical and serological detection [18]–[20], only two studies were published on Cryptosporidium species identification [21], [22], but no studies with a large number of samples from yaks have been investigated, and no reports of subtype prevalence have been published. The aims of this study were to determine the prevalence and genotypes of Cryptosporidium spp. in yaks, and to investigate the regional differences, age-related and seasonal trends in Cryptosporidium infection of yaks in Qinghai Province, China.
Materials and Methods
Ethics Statement
This project was approved by the Shanghai Veterinary Research Institute Animal Ethics Committee. Before carrying out this work, we contacted the owners of all farms involved in the study and obtained their permission for collection of animal fecal samples. During specimen collection, all protocols used were consistent with the rules for Animal Care of the Chinese Academy of Agricultural Sciences.
Sample Collection
A total of 586 fecal specimens were collected from yaks between March 2008 and June 2012 in Dari (32°42′N, 98°15′E), Gangcha (37°19′N, 100°8′E), Gonghe (36°17′N, 100°37′E), Huangyuan (36°40′N, 101°15′E), Qilian (38°10′N, 100°15′E) and Zhiduo (33°51′N, 95°36′E ) Counties in Qinghai Province, Northwestern China. The average altitude, annual rainfall, and average annual temperature of the 6 counties ranges from 3,200 to 4,500 m, 350 to 560 mm and −0.6 to 3.5°C, respectively. About 50 g fresh samples were collected immediately from the floor after animal defecation or directly taken from the rectum of the animals using sterile gloves, then put into a disposable plastic bag marked with farm name, serial number, host age and collection date. Samples were placed in ice boxes and transported to the laboratory, then stored in refrigerators at 4°C and processed as soon as possible. Most samples were collected from three age groups (<1 yr., 1–2 yr. and >2 yr. old yaks). These yaks had not previously been examined for Cryptosporidium infection and no history of cryptosporidiosis or administration of anti-cryptosporidial drugs was recorded.
Microscopy Detection
The samples from Gonghe and Huangyuan were examined via microscopy, as previously described by Chen et al. [23]. Briefly, 5 g of feces was diluted in distilled water and filtered through a strainer into a centrifuge tube. The filter was centrifuged at 1000×g for 5 min and the supernatant was discarded. The pellet was resuspended with 30 mL of Sheather’s sucrose solution, and centrifuged at 400×g for 5 min. The supernatant was transferred to a microscopic slide by an iron loop and Cryptosporidium oocysts were detected with a light microscope under 400×magnification. Thirty-five positive samples from Gonghe and Huangyuan were selected randomly and preserved in 2.5% potassium dichromate and stored at 4°C.
DNA Extraction
All samples from Dari, Gangcha, Qilian, Zhiduo Counties, and 35 samples from Gonghe and Huangyuan Counties, were selected for genetic analysis. Genomic DNA was extracted from a 200 µL sample suspension by alkaline digestion and phenol-chloroform extraction [24]. The DNA was further purified using a QIAamp DNA Stool Mini kit (QIAGEN GmbH, Hilden, Germany) in accordance with the manufacturer’s instructions, and stored at −20°C until further analysis.
PCR Amplification and Genotyping
Cryptosporidium species/genotypes were determined by nested PCR of the small subunit (SSU) rRNA gene and restriction fragment length polymorphism (RFLP) analysis, as described previously [25], [26]. The secondary PCR products were digested with the restriction enzymes Ssp I, Vsp I and Mbo II (Fermentas Life Sciences, Lithuania, Vilnius, Lithuania) [21]. The digestion products were visualized by electrophoresis on 2% agarose gel. The species and genotypes were determined by comparing the banding patterns with published digest patterns [21]. The second amplification products were purified by AxyPrep DNA Gel Extraction Kit (Axygen Scientific, Hangzhou, China), then cloned into pMD 18-T Vector (TaKaRa Biotechnology, Dalian, China) and transformed into Escherichia coli DH5α. At least two positive clones from each sample were sequenced using ABI 3730×l DNA Analyzer (Applied Biosystems, Foster City, USA). Reference sequences of Cryptosporidium spp. were obtained from GenBank, and phylogenetic analysis was performed with MEGA 5.0 software (http://www.megasoftware.net/) using Distance analysis.
Subtype Identification
A fragment of the 60 kDa glycoprotein (gp60) gene was amplified by nested PCR as previously described [27]. The second PCR products were purified using AxyPrep DNA Gel Extraction Kit, cloned into pMD 18-T Vector and sequenced as per the SSU rRNA gene. The Cryptosporidium subtypes were identified as previously described by Sulaiman et al. [28].
Statistical Analysis
Statistical analysis of the prevalence of Cryptosporidium was carried out using IBM SPSS Statistics V21.0 for Windows (International Business Machines Corp, New York, USA). The differences between regions, ages and seasons were determined by Pearson’s Chi-Square test (χ2 test) analysis, and considered significant when P<0.05.
Results
Prevalence of Cryptosporidium Infection in Qinghai Province
Cryptosporidium was found in 142 of the 586 (24.2%) samples collected from six counties of Qinghai Province, 87 were diagnosed by microscopical examination, 47 by molecular analysis and eight by both methods (Table 1). The samples from Qilian, Gangcha, Dari and Zhiduo were diagnosed by PCR, and the samples from Gonghe and Huangyuan were diagnosed by microscopy. Cryptosporidium was detected in samples from all counties, with infection rates between 5.6% and 36.2%, with significant differences between different counties (χ2 = 47.1, P<0.001) (Table 1).
Table 1. Prevalence and molecular characterization of Cryptosporidium spp. in different counties.
Species | ||||||||
County | No. Sample | No. Positive (%) | C. parvum | C. bovis | C. ryanae | C. parvum+ C. bovis | C. ryanae+ C. bovis | ND |
Dari | 71 | 4(5.6) | 1 | 3 | 0 | 0 | 0 | 0 |
Gangcha | 100 | 8(8.0) | 1 | 5 | 2 | 0 | 0 | 0 |
Gonghe | 50 | 10(20.0) | 1 | 1 | 0 | 0 | 0 | 8 |
Huangyuan | 235 | 85(36.2) | 0 | 4 | 1 | 0 | 1 | 79 |
Qilian | 71 | 20(28.2) | 6 | 11 | 1 | 2 | 0 | 0 |
Zhiduo | 59 | 15(25.4) | 7 | 7 | 1 | 0 | 0 | 0 |
Total | 586 | 142(24.2) | 16 | 31 | 5 | 2 | 1 | 87 |
ND, not determined species.
Prevalence of Cryptosporidium in Different Seasons
The prevalence of Cryptosporidium in different seasons was also investigated in the present study. The detection rate was highest in the spring (95/335, 28.4%), followed by summer (19/91, 20.9%) then winter (28/160, 17.5%), and varied significantly between seasons (χ2 = 7.61, P<0.05) (Table 2).
Table 2. Prevalence and molecular characterization of Cryptosporidium spp. in different seasons.
Species | ||||||||
Season | No. Sample | No. Positive (%) | C. parvum | C. bovis | C. ryanae | C. parvum+ C. bovis | C. ryanae+ C. bovis | ND |
Spring | 335 | 95(28.4) | 1 | 5 | 1 | 0 | 1 | 87 |
Summer | 91 | 19(20.9) | 4 | 12 | 3 | 0 | 0 | 0 |
Winter | 160 | 28(17.5) | 11 | 14 | 1 | 2 | 0 | 0 |
Total | 586 | 142(24.2) | 16 | 31 | 5 | 2 | 1 | 87 |
ND, not determined species.
Prevalence of Cryptosporidium Species
All samples that tested positive at the SSU locus were analyzed by restriction digestion, then sequenced. NCBI BLAST homology searches (http://blast.ncbi.nlm.nih.gov) identified C. bovis in 31 (56.4%) samples, C. parvum in 16 (29.1%) samples, C. ryanae in 5 (9.0%) samples, and mixed infections of either C. parvum and C. bovis or C. ryanae and C. bovis in 3 (5.5%) samples (Table 1).
Of the positive specimens, 22 sequences had 100% homology with the reference C. bovis sequence (GenBank accession No. AY741305), 15 with C. parvum (GenBank accession No. AF093493) and 4 with C. ryanae (GenBank accession No. EU410344). Other sequences shared 99% identity with the GenBank reference sequences, and all were submitted to the GenBank database under accession numbers KF128742 to KF128757. Phylogenetic analysis also supported the PCR-RFLP results and homology analysis.
Prevalence of Cryptosporidium Species in Different Host Age
The infection rates in yaks of different ages were studied. The highest prevalence of Cryptosporidium spp. was observed in yaks under the age of one year (24/88, 27.3%), followed by those between one and two years old (12/88, 13.6%), then those over two years of age (11/125, 8.8%), with significant differences between each age range (χ2 = 34.9, P<0.001).
Cryptosporidium bovis, C. parvum and C. ryanae were found in all age groups, but C. bovis was the most prevalent species in animals under two years of age, and C. parvum was the most prevalent species in animals over two years of age (Table 3). The genotyped samples from Huangyuan and Gonghe Counties were selected randomly from those samples in which Cryptosporidium was detected by microscopy, and the ages of the corresponding yaks was unknown.
Table 3. Prevalence and molecular characterization of Cryptosporidium spp. in different host age groups.
Species | ||||||||
Age | No. Sample | No. Positive (%) | C. parvum | C. bovis | C. ryanae | C. parvum+ C. bovis | C. ryanae+ C. bovis | ND |
<1 yr. | 88 | 24(27.3) | 5 | 15 | 2 | 2 | 0 | 0 |
1–2 yr. | 88 | 12(13.6) | 3 | 8 | 1 | 0 | 0 | 0 |
>2 yr. | 125 | 11(8.8) | 7 | 3 | 1 | 0 | 0 | 0 |
Unknown | 285 | 95(33.3) | 1 | 5 | 1 | 0 | 1 | 87 |
Total | 586 | 142(24.2) | 16 | 31 | 5 | 2 | 1 | 87 |
ND, not determined species.
Prevalence of C. parvum Subtypes
Thirteen of the 18 C. parvum positives were successfully amplified at the gp60 locus and were sequenced and aligned with GenBank reference sequences. We found that all sequences belonged to the C. parvum IIa subtype family. Altogether, five C. parvum IIa subtypes were found, IIaA15G2R1, IIaA16G2R1, IIaA14G1R1, IIaA14G2R1 and IIaA16G3R1, which were seen in 8, 2, 1, 1 and 1 animals, respectively. The unique sequences we acquired have been deposited in GenBank database under accession numbers KF128737 to KF128741.
Discussion
The rate of Cryptosporidium spp. infection in the yaks we studied was 24.2% (142/586), which is higher than the 10.4% infection rate reported by Zhou et al. [19], and lower than others ranging from 33.6% [20] to 39.7% [18] in Qinghai Province. Cryptosporidium was detected in samples from all six tested counties, and the prevalence varied significantly between the counties (P<0.001). The highest prevalence was found in Huangyuan (85/235, 36.2%), followed by Qilian (20/71, 28.2%), Zhiduo (15/59, 25.4%), Gonghe (10/50, 20.0%), Gangcha (8/100, 8.0%) and Dari (4/71, 5.6%). Previously, when serological techniques were used to detect Cryptosporidium infection rates of 30.4% (61/201) in Gonghe and 36.8% (82/223) in Qilian were found. We detected a lower prevalence with microscopic diagnosis (20.2% in Gonghe) or PCR (28.2% in Qilian) [20], in agreement with a previous report that serological tests have a higher prevalence rate than microscopic or PCR-based diagnosis [29]. The infection rates of 36.2% (85/235) found in Huangyuan was higher than that found in a previous study which utilized microscopic diagnoses and found an infection rate of 30.6% (26/85) [30]. This difference may be attributed to the different age of yaks in the population studied. The previous study sampled from only animals under the age of one year, but in our study the ages of animals were unknown in Huangyuan County. Given the similar climate of counties within the Qinghai Province, the inter-county variation in infection rates observed could be attributed to the age of the yaks sampled, the sampling season, feeding levels, pasture environment and the density of animals.
Most previous reports employed microscopical and serological diagnostic methods, and the species of Cryptosporidium circulating in yaks was not reported. In contrast we compared the genotypes of Cryptosporidium present in different regions, yak age groups and seasons. Fifty-five of the 142 samples that tested positive for Cryptosporidium were amplified and sequenced successfully, and three Cryptosporidium species were detected. Cryptosporidium bovis was the most common species (31/55, 56.4%), followed by C. parvum (16/55, 29.1%) and C. ryanae (5/55, 9.0%). Mixed infection of C. parvum and C. bovis (2/55, 3.6%), C. ryanae and C. bovis (1/55, 1.8%) were also identified, and C. andersoni was not detected in this survey. To our knowledge, this is the first identification of C. parvum and C. ryanae in yaks. Cryptosporidium bovis was previously found in an eight year old yak [21], and another study found a new Cryptosporidium genotype in a wild yak [22].
We found C. bovis to be the most prevalent species in the majority of counties (Dari, Gangcha, Huangyuan and Qilian), but in Gonghe and Zhiduo, C. bovis and C. parvum were equally prevalent. Most previous reports in pre-weaned calves found that C. parvum was the most common species [12], [31]–[33], but in recent years C. bovis has been found to be the most prevalent species in pre-weaned calves in China [16], [34], Nigeria [35], Japan [36], [37], Sweden [38] and France [39]. We also found C. bovis to be most prevalent in yaks.
Similar to most studies of dairy calves [7], [34], [36], [40], [41], we found that C. ryanae was the least frequently detected species in yaks, in contrast to other studies of water buffaloes and beef calves in Egypt and Vietnam which reported that C. ryanae was most prevalent [42], [43]. Moreover, a recent survey reported that C. ryanae was the only Cryptosporidium species identified in zebu cattle and water buffaloes in Nepal [44].
Previous surveys of adult calves found that C. andersoni was the predominant species in many countries including Japan, the United States and Canada [9], [45], [46], and this was also the case in China, according to three studies in Heilongjiang, Henan and Shaanxi Provinces [47]–[49]. In contrast we did not detect C. andersoni in yaks in this study. Cryptosporidium andersoni was also not found in adult calves in New Zealand, Denmark, the United States and Sweden [11], [21], [50], [51].
In this study, we collected 285 samples from Huangyuan and Gonghe Counties in 2008, and Cryptosporidium was detected in 95 samples by microscopical examination. Thirty-five of these samples were selected randomly and preserved in 2.5% potassium dichromate, but only eight samples were amplified successfully by SSU rRNA gene in 2012. The low amplification success rate in this study can probably be attributed to the unsuitable preservation of samples. Further studies are therefore under way to collect larger numbers of fresh samples from yaks in these areas to genetically characterize Cryptosporidium spp. in Huangyuan and Gonghe.
The infection rate of Cryptosporidium spp. in yaks varied with age, consistent with previous surveys in dairy cattle which revealed that the prevalence of Cryptosporidium fell with increasing age [7], [15], [34], [35]. We investigated the relationship between age and Cryptosporidium species infecting 47 of the 142 samples, and found that the species obtained in this study existed in all age groups. Cryptosporidium bovis was the most common species in yaks under two years of age, while C. parvum dominated in yaks over two years of age. A similar result has been observed in calves [11], [50], [52]. Previous studies reported that the prevalence of four common species (C. parvum, C. bovis, C. ryanae, and C. andersoni) in cattle varied with age. Eighty-five percent of pre-weaned calves were infected with C. parvum, 55% of post weaned calves were infected with C. bovis and 31% with C. ryanae, and 65% of heifers and mature cows were infected with C. andersoni in the United States [7]–[9]. However we did not observe such a trend in yaks, in agreement with the report in dairy cattle that C. bovis and C. ryanae are the major species found in pre- and post-weaned calves in the United States and China by Feng et al. [21].
Several studies have reported that seasonal shift could influence the Cryptosporidium infection levels in dairy cattle [34], [41], [53]. We found that the prevalence of Cryptosporidium spp. in yaks peaked in the spring (28.4%), declining in the summer (22.0%), and descended to the lowest levels in the winter (17.5%). This is in accordance with the report that Cryptosporidium infection of dairy calves peaks in spring [50], but is contrary to Szonyi et al. [41] and Wang et al. [34] who found that summer was the dominant infection season in the United States and China, while Hamnes et al. [53] found the highest prevalence in winter in Norway. The reasons for the seasonal variation in infection rates in yaks may be explained as follows: In spring in Qinghai Province, new grass has not yet grown, and yaks are fasted over the long winter. As a result these animals are generally malnourished and susceptible to infection [54]. At the same time, the weather in spring is beginning to warm and is more suitable for pathogen transmission, therefore spring has the highest incidence of disease over the year [54]. In the summer, food sources are plentiful and yak nutrition improves and with it their resistance to infection. In winter, the temperature can decline to −20°C, preventing oocyst survival [55]. The saying that yaks are “alive in summer, strong in autumn, thin in winter, and tired in spring” [54] may be an accurate description of the seasonal variation in yak susceptibility to diseases. Unfortunately, we did not study the prevalence of Cryptosporidium in the autumn, so cannot comment on this season. We detected C. bovis infection in all studied seasons, in contrast to previous reports that C. bovis prevalence in pre-weaned calves peaked in autumn in China and in summer in the United States [34], [41].
All 18 C. parvum positive specimens were subtyped by the GP60 gene, and 13 were amplified and sequenced successfully. Five subtypes (IIaA15G2R1 (n = 8), IIaA16G2R1 (n = 2), IIaA14G1R1 (n = 1), IIaA14G2R1 (n = 1) and IIaA16G3R1 (n = 1)) were found. This is the first report on the subtype distribution of C. parvum in yaks. The zoonotic subtype IIa has been found worldwide. Within the IIa subtype, IIaA15G2R1 was the most common subtype in calves which has been reported in many developed countries in North America [32], [56] and Europe [12], [15], [31], [40], [57]–[60]. In contrast genetic characterization of C. parvum subtypes in dairy calves differed in China, where IIdA19G1 was the only subtype which had been identified previously [16], [34]. We found that IIaA15G2R1 was the predominant subtype in yaks, as has previously been reported for calves in other Asian countries [37], [61], [62]. Other subtypes, IIaA16G2R1, IIaA14G1R1, IIaA14G2R1 and IIaA16G3R1, had been detected in previous studies of dairy calves. For example, IIaA16G2R1, IIaA14G2R1 and IIaA16G3R1 were found in the Netherlands [58], IIaA16G2R1 and IIaA16G3R1 in Canada, Spain and France [15], [56], [60], IIaA14G2R1 and IIaA16G3R1 in England [40] and IIaA16G2R1 and IIaA14G2R1 in Belgium [12]. However, subtype IIaA14G1R1 was mainly found in humans [57], [63], [64], and only one study has detected this subtype in calves (in Sweden [33]). All five subtypes identified in yaks in this study have been found in humans [64], suggesting that yaks may be involved in zoonotic transmission of Cryptosporidium.
In summary, we found that Cryptosporidium spp. was widespread in the yaks populating the Northwest of China. The overall infection rate was 24.2% for the Qinghai Province, and ranged from 8.0% to 36.2% in individual counties. Three species, C. bovis, C. parvum and C. ryanae, were found in every age group, and 56.4% of positive specimens contained C. bovis. To our knowledge, this is the first identification of C. parvum and C. ryanae in yaks. This is the first report on the subtype characteristics of C. parvum in yaks. We found that IIaA15G2R1 is the dominant subtype of C. parvum in yaks, which may pose a potential threat to human health.
Acknowledgments
We thank Wenkui Zhang and Yongjun Wang at Sanjiaocheng Sheep Breeding Farm of Qinghai Province and Ying Li at Qinghai University for their help in sample collecting.
Funding Statement
This study was supported in part by National S & T Major Program (Grant No. 2012ZX10004220-008), Shanghai Municipal Agriculture Commission (Grant No. 2005-3-4) and Basic Foundation for Scientific Research of State-level Public Welfare Institutes of China (Grant Nos. 2012JB16 and 2013JB13). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1. Xiao L (2009) Overview of Cryptosporidium presentations at the 10th International Workshops on Opportunistic Protists. Eukaryot Cell 8: 429–436. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Xiao L, Fayer R (2008) Molecular characterisation of species and genotypes of Cryptosporidium and Giardia and assessment of zoonotic transmission. Int J Parasitol 38: 1239–1255. [DOI] [PubMed] [Google Scholar]
- 3. Xiao L (2010) Molecular epidemiology of cryptosporidiosis: an update. Exp Parasitol 124: 80–89. [DOI] [PubMed] [Google Scholar]
- 4. Rossignol JF (2010) Cryptosporidium and Giardia: treatment options and prospects for new drugs. Exp Parasitol 124: 45–53. [DOI] [PubMed] [Google Scholar]
- 5.Almawly J, Prattley D, French NP, Lopez-Villalobos N, Hedgespeth B, et al. (2013) Utility of halofuginone lactate for the prevention of natural cryptosporidiosis of calves, in the presence of co-infection with rotavirus and Salmonella Typhimurium. Vet Parasitol 197: 59–67. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Fayer R, Santín M, Dargatz D (2010) Species of Cryptosporidium detected in weaned cattle on cow-calf operations in the United States. Vet Parasitol 170: 187–192. [DOI] [PubMed] [Google Scholar]
- 7. Santín M, Trout JM, Xiao L, Zhou L, Greiner E, et al. (2004) Prevalence and age-related variation of Cryptosporidium species and genotypes in dairy calves. Vet Parasitol 122: 103–117. [DOI] [PubMed] [Google Scholar]
- 8. Fayer R, Santín M, Trout JM, Greiner E (2006) Prevalence of species and genotypes of Cryptosporidium found in 1–2-year-old dairy cattle in the eastern United States. Vet Parasitol 135: 105–112. [DOI] [PubMed] [Google Scholar]
- 9. Fayer R, Santin M, Trout JM (2007) Prevalence of Cryptosporidium species and genotypes in mature dairy cattle on farms in eastern United States compared with younger cattle from the same locations. Vet Parasitol 145: 260–266. [DOI] [PubMed] [Google Scholar]
- 10. Bornay-Llinares FJ, da Silva AJ, Moura IN, Myjak P, Pietkiewicz H, et al. (1999) Identification of Cryptosporidium felis in a cow by morphologic and molecular methods. Appl Environ Microbiol 65: 1455–1458. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Langkjaer RB, Vigre H, Enemark HL, Maddox-Hyttel C (2007) Molecular and phylogenetic characterization of Cryptosporidium and Giardia from pigs and cattle in Denmark. Parasitology 134: 339–350. [DOI] [PubMed] [Google Scholar]
- 12. Geurden T, Berkvens D, Martens C, Casaert S, Vercruysse J, et al. (2007) Molecular epidemiology with subtype analysis of Cryptosporidium in calves in Belgium. Parasitology 134: 1981–1987. [DOI] [PubMed] [Google Scholar]
- 13. Smith HV, Nichols RA, Mallon M, Macleod A, Tait A, et al. (2005) Natural Cryptosporidium hominis infections in Scottish cattle. Vet Rec 156: 710–711. [DOI] [PubMed] [Google Scholar]
- 14. Kang’ethe EK, Mulinge EK, Skilton RA, Njahira M, Monda JG, et al. (2012) Cryptosporidium species detected in calves and cattle in Dagoretti, Nairobi, Kenya. Trop Anim Health Prod 44 Suppl 1S25–S31. [DOI] [PubMed] [Google Scholar]
- 15. Follet J, Guyot K, Leruste H, Follet-Dumoulin A, Hammouma-Ghelboun O, et al. (2011) Cryptosporidium infection in a veal calf cohort in France: molecular characterization of species in a longitudinal study. Vet Res 42: 116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Zhang W, Wang R, Yang F, Zhang L, Cao J, et al. (2013) Distribution and genetic characterizations of Cryptosporidium spp. in pre-weaned dairy calves in Northeastern China’s Heilongjiang Province. PLoS One 8: e54857. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Sun WC, Luo YH, Ma HQ (2011) Preliminary study of metal in yak (Bos grunniens) milk from Qilian of the Qinghai Plateau. Bull Environ Contam Toxicol 86: 653–656. [DOI] [PubMed] [Google Scholar]
- 18. Zhang J, Xu J, Shen X (2006) Investigation of Cryptosporidium infection in Cattle in Qinghai Province. Chin Qinghai J Anim Vet Sci 36: 16–17 (in Chinese).. [Google Scholar]
- 19. Zhou C, He G, Zhang L (2009) Investigation on the Cryptosporidium infection in yak. Chin J Zoonoses 25: 389–390 (in Chinese).. [Google Scholar]
- 20. Ma L, Lu Y, Cai Q, Wang G, Niu X, et al. (2011) Serological investigation on cryptosporidiosis of yak from Qinghai Province. J Domestic Anim Ecol 32: 47–49 (in Chinese).. [Google Scholar]
- 21. Feng Y, Ortega Y, He G, Das P, Xu M, et al. (2007) Wide geographic distribution of Cryptosporidium bovis and the deer-like genotype in bovines. Vet Parasitol 144: 1–9. [DOI] [PubMed] [Google Scholar]
- 22. Karanis P, Plutzer J, Halim NA, Igori K, Nagasawa H, et al. (2007) Molecular characterization of Cryptosporidium from animal sources in Qinghai province of China. Parasitol Res 101: 1575–1580. [DOI] [PubMed] [Google Scholar]
- 23. Chen Z, Mi R, Yu H, Shi Y, Huang Y, et al. (2011) Prevalence of Cryptosporidium spp. in pigs in Shanghai, China. Vet Parasitol 181: 113–119. [DOI] [PubMed] [Google Scholar]
- 24. Peng MM, Wilson ML, Holland RE, Meshnick SR, Lal AA, et al. (2003) Genetic diversity of Cryptosporidium spp. in cattle in Michigan: implications for understanding the transmission dynamics. Parasitol Res 90: 175–180. [DOI] [PubMed] [Google Scholar]
- 25. Xiao L, Morgan UM, Limor J, Escalante A, Arrowood M, et al. (1999) Genetic diversity within Cryptosporidium parvum and related Cryptosporidium species. Appl Environ Microbiol 65: 3386–3391. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Xiao L, Bern C, Limor J, Sulaiman I, Roberts J, et al. (2001) Identification of 5 types of Cryptosporidium parasites in children in Lima, Peru. J Infect Dis 183: 492–497. [DOI] [PubMed] [Google Scholar]
- 27. Alves M, Xiao L, Sulaiman I, Lal AA, Matos O, et al. (2003) Subgenotype analysis of Cryptosporidium isolates from humans, cattle, and zoo ruminants in Portugal. J Clin Microbiol 41: 2744–2747. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Sulaiman IM, Hira PR, Zhou L, Al-Ali FM, Al-Shelahi FA, et al. (2005) Unique endemicity of cryptosporidiosis in children in Kuwait. J Clin Microbiol 43: 2805–2809. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Nydam DV, Lindergard G, Guard CL, Schaaf SL, Wade SE, et al. (2002) Serological detection of exposure to Cryptosporidium parvum in cattle by ELISA and its evaluation in relation to coprological tests. Parasitol Res 88: 797–803. [DOI] [PubMed] [Google Scholar]
- 30.Dou C (2007) Investigation on cryptosporidiosis of yak calves in Huangyuan County of Qinghai Province. Anim Husbandry Feed Sci: 14. (in Chinese).
- 31. Kváč M, Hromadová N, Květoňová D, Rost M, Sak B (2011) Molecular characterization of Cryptosporidium spp. in pre-weaned dairy calves in the Czech Republic: absence of C. ryanae and management-associated distribution of C. andersoni, C. bovis and C. parvum subtypes. Vet Parasitol 177: 378–382. [DOI] [PubMed] [Google Scholar]
- 32. Xiao L, Zhou L, Santin M, Yang W, Fayer R (2007) Distribution of Cryptosporidium parvum subtypes in calves in eastern United States. Parasitol Res 100: 701–706. [DOI] [PubMed] [Google Scholar]
- 33. Silverlås C, Bosaeus-Reineck H, Näslund K, Björkman C (2013) Is there a need for improved Cryptosporidium diagnostics in Swedish calves? Int J Parasitol 43: 155–161. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Wang R, Wang H, Sun Y, Zhang L, Jian F, et al. (2011) Characteristics of Cryptosporidium transmission in preweaned dairy cattle in Henan, China. J Clin Microbiol 49: 1077–1082. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Maikai BV, Umoh JU, Kwaga JK, Lawal IA, Maikai VA, et al. (2011) Molecular characterization of Cryptosporidium spp. in native breeds of cattle in Kaduna State, Nigeria. Vet Parasitol 178: 241–245. [DOI] [PubMed] [Google Scholar]
- 36. Murakoshi F, Xiao L, Matsubara R, Sato R, Kato Y, et al. (2012) Molecular characterization of Cryptosporidium spp. in grazing beef cattle in Japan. Vet Parasitol 187: 123–128. [DOI] [PubMed] [Google Scholar]
- 37.Murakoshi F, Tozawa Y, Inomata A, Horimoto T, Wada Y, et al. (2013) Molecular characterization of Cryptosporidium isolates from calves in Ishikari District, Hokkaido, Japan. J Vet Med Sci 75: 837–840. [DOI] [PubMed] [Google Scholar]
- 38.Silverlås C, Blanco-Penedo I (2012) Cryptosporidium spp. in calves and cows from organic and conventional dairy herds. Epidemiol Infect: 1–11. [DOI] [PMC free article] [PubMed]
- 39.Rieux A, Chartier C, Pors I, Paraud C (2012) Dynamics of excretion and molecular characterization of Cryptosporidium isolates in pre-weaned French beef calves. Vet Parasitol 195: 169–172. [DOI] [PubMed] [Google Scholar]
- 40. Brook EJ, Anthony HC, French NP, Christley RM (2009) Molecular epidemiology of Cryptosporidium subtypes in cattle in England. Vet J 179: 378–382. [DOI] [PubMed] [Google Scholar]
- 41. Szonyi B, Bordonaro R, Wade SE, Mohammed HO (2010) Seasonal variation in the prevalence and molecular epidemiology of Cryptosporidium infection in dairy cattle in the New York City Watershed. Parasitol Res 107: 317–325. [DOI] [PubMed] [Google Scholar]
- 42. Amer S, Zidan S, Feng Y, Adamu H, Li N, et al. (2013) Identity and public health potential of Cryptosporidium spp. in water buffalo calves in Egypt. Vet Parasitol 191: 123–127. [DOI] [PubMed] [Google Scholar]
- 43. Nguyen ST, Fukuda Y, Tada C, Sato R, Duong B, et al. (2012) Molecular characterization of Cryptosporidium in native beef calves in central Vietnam. Parasitol Res 111: 1817–1820. [DOI] [PubMed] [Google Scholar]
- 44. Feng Y, Karna SR, Dearen TK, Singh DK, Adhikari LN, et al. (2012) Common occurrence of a unique Cryptosporidium ryanae variant in zebu cattle and water buffaloes in the buffer zone of the Chitwan National Park, Nepal. Vet Parasitol 185: 309–314. [DOI] [PubMed] [Google Scholar]
- 45. Budu-Amoako E, Greenwood SJ, Dixon BR, Barkema HW, McClure JT (2012) Occurrence of Cryptosporidium and Giardia on beef farms and water sources within the vicinity of the farms on Prince Edward Island, Canada. Vet Parasitol 184: 1–9. [DOI] [PubMed] [Google Scholar]
- 46.Ikarashi M, Fukuda Y, Honma H, Kasai K, Kaneta Y, et al. (2013) First description of heterogeneity in 18S rRNA genes in the haploid genome of Cryptosporidium andersoni Kawatabi type. Vet Parasitol 196: 220–224. [DOI] [PubMed] [Google Scholar]
- 47. Liu A, Wang R, Li Y, Zhang L, Shu J, et al. (2009) Prevalence and distribution of Cryptosporidium spp. in dairy cattle in Heilongjiang Province, China. Parasitol Res 105: 797–802. [DOI] [PubMed] [Google Scholar]
- 48. Wang R, Ma G, Zhao J, Lu Q, Wang H, et al. (2011) Cryptosporidium andersoni is the predominant species in post-weaned and adult dairy cattle in China. Parasitol Int 60: 1–4. [DOI] [PubMed] [Google Scholar]
- 49. Zhao GH, Ren WX, Gao M, Bian QQ, Hu B, et al. (2013) Genotyping Cryptosporidium andersoni in Cattle in Shaanxi Province, Northwestern China. PLoS One 8: e60112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Learmonth JJ, Ionas G, Pita AB, Cowie RS (2003) Identification and genetic characterisation of Giardia and Cryptosporidium strains in humans and dairy cattle in the Waikato Region of New Zealand. Water Sci Technol 47: 21–26. [PubMed] [Google Scholar]
- 51. Silverlås C, Näslund K, Björkman C, Mattsson JG (2010) Molecular characterisation of Cryptosporidium isolates from Swedish dairy cattle in relation to age, diarrhoea and region. Vet Parasitol 169: 289–295. [DOI] [PubMed] [Google Scholar]
- 52. Helmy YA, Krücken J, Nöckler K, von Samson-Himmelstjerna G, Zessin KH (2013) Molecular epidemiology of Cryptosporidium in livestock animals and humans in the Ismailia province of Egypt. Vet Parasitol 193: 15–24. [DOI] [PubMed] [Google Scholar]
- 53. Hamnes IS, Gjerde B, Robertson L (2006) Prevalence of Giardia and Cryptosporidium in dairy calves in three areas of Norway. Vet Parasitol 140: 204–216. [DOI] [PubMed] [Google Scholar]
- 54. Long RJ, Zhang DG, Wang X, Hu ZZ, Dong SK (1999) Effect of strategic feed supplementation on productive and reproductive performance in yak cows. Prev Vet Med 38: 195–206. [DOI] [PubMed] [Google Scholar]
- 55. King BJ, Monis PT (2007) Critical processes affecting Cryptosporidium oocyst survival in the environment. Parasitology 134: 309–323. [DOI] [PubMed] [Google Scholar]
- 56. Trotz-Williams LA, Martin DS, Gatei W, Cama V, Peregrine AS, et al. (2006) Genotype and subtype analyses of Cryptosporidium isolates from dairy calves and humans in Ontario. Parasitol Res 99: 346–352. [DOI] [PubMed] [Google Scholar]
- 57. Soba B, Logar J (2008) Genetic classification of Cryptosporidium isolates from humans and calves in Slovenia. Parasitology 135: 1263–1270. [DOI] [PubMed] [Google Scholar]
- 58. Wielinga PR, de Vries A, van der Goot TH, Mank T, Mars MH, et al. (2008) Molecular epidemiology of Cryptosporidium in humans and cattle in The Netherlands. Int J Parasitol 38: 809–817. [DOI] [PubMed] [Google Scholar]
- 59. Imre K, Lobo LM, Matos O, Popescu C, Genchi C, et al. (2011) Molecular characterisation of Cryptosporidium isolates from pre-weaned calves in Romania: is there an actual risk of zoonotic infections? Vet Parasitol 181: 321–324. [DOI] [PubMed] [Google Scholar]
- 60. Quilez J, Torres E, Chalmers RM, Robinson G, Del CE, et al. (2008) Cryptosporidium species and subtype analysis from dairy calves in Spain. Parasitology 135: 1613–1620. [DOI] [PubMed] [Google Scholar]
- 61. Abe N, Matsubayashi M, Kimata I, Iseki M (2006) Subgenotype analysis of Cryptosporidium parvum isolates from humans and animals in Japan using the 60-kDa glycoprotein gene sequences. Parasitol Res 99: 303–305. [DOI] [PubMed] [Google Scholar]
- 62. Nazemalhosseini-Mojarad E, Haghighi A, Taghipour N, Keshavarz A, Mohebi SR, et al. (2011) Subtype analysis of Cryptosporidium parvum and Cryptosporidium hominis isolates from humans and cattle in Iran. Vet Parasitol 179: 250–252. [DOI] [PubMed] [Google Scholar]
- 63. Jex AR, Gasser RB (2008) Analysis of the genetic diversity within Cryptosporidium hominis and Cryptosporidium parvum from imported and autochtonous cases of human cryptosporidiosis by mutation scanning. Electrophoresis 29: 4119–4129. [DOI] [PubMed] [Google Scholar]
- 64. Herges GR, Widmer G, Clark ME, Khan E, Giddings CW, et al. (2012) Evidence that Cryptosporidium parvum populations are panmictic and unstructured in the Upper Midwest of the United States. Appl Environ Microbiol 78: 8096–8101. [DOI] [PMC free article] [PubMed] [Google Scholar]