Next Article in Journal
Oxalis tetraphylla (Class: Magnoliopsidae) Possess Flavonoid Phytoconstituents with Nematocidal Activity against Haemonchus contortus
Next Article in Special Issue
Molecular Characterization of Leishmania Species among Patients with Cutaneous Leishmaniasis in Asir Province, Saudi Arabia
Previous Article in Journal
Colistin Resistance Mechanism in Enterobacter hormaechei subsp. steigerwaltii Isolated from Wild Boar (Sus scrofa) in France
Previous Article in Special Issue
Geographic Distribution of Common Vampire Bat Desmodus rotundus (Chiroptera: Phyllostomidae) Shelters: Implications for the Spread of Rabies Virus to Cattle in Southeastern Brazil
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Diverse Genotypes of Cryptosporidium in Sheep in California, USA

Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, CA 95616, USA
*
Author to whom correspondence should be addressed.
Pathogens 2022, 11(9), 1023; https://doi.org/10.3390/pathogens11091023
Submission received: 14 August 2022 / Revised: 3 September 2022 / Accepted: 5 September 2022 / Published: 8 September 2022
(This article belongs to the Special Issue Molecular Epidemiology of Zoonotic Pathogens)

Abstract

:
Cryptosporidium spp. is a parasite that can infect a wide variety of vertebrate species. The parasite has been detected in sheep worldwide with diverse species and genotypes of various levels of zoonotic potential and public health concern. The purpose of this study was to determine the distribution of genotypes of Cryptosporidium in sheep in California, USA. Microscopic positive samples from individual sheep from central and northern California ranches were genotyped by sequencing a fragment of the 18S rRNA gene and BLAST analysis. Eighty-eight (63.8%) of the microscopic positive samples were genotyped, and multiple genotypes of Cryptosporidium were identified from sheep in the enrolled ranches. Approximately 89% of isolates (n = 78) were C. xiaoi or C. bovis, 10% of isolates (n = 9) were C. ubiquitum, and 1% of isolates (n = 1) were C. parvum. The C. parvum and C. ubiquitum isolates were detected only from lambs and limited to four farms. Given that the majority of Cryptosporidium species (i.e., C. xiaoi and C. bovis) were of minor zoonotic concern, the results of this study suggest that sheep are not a reservoir of major zoonotic Cryptosporidium in California ranches.

1. Introduction

Cryptosporidium spp. parasites virtually infect all vertebrate animals, including humans, livestock species, companion animals, and a wide range of mammalian wildlife [1,2]. Among the nearly forty named species of Cryptosporidium [3], the majority of species are host-specific with an additional subset of zoonotic species and genotypes that are infectious to humans [4,5]. Cryptosporidium spp. that are considered zoonotic in alphabetical order include (major vertebrate host in parenthesis): C. andersoni (cattle), C. bovis (cattle), C. canis (dogs), C. cuniculus (rabbits), C. erinacei (tree squirrels), C. fayeri (kangaroo), C. felis (cats), C. meleagridis (turkeys), C. muris (mice), C. parvum (cattle), C. scrofarum (pigs), C. suis (pigs), C. tyzzeri (mice), C. ubiquitum (cattle), and C. xiaoi (sheep and goats). In addition, Cryptosporidium spp. chipmunk genotype I (chipmunk), horse genotype (horse), mink genotype (mink), and skunk genotype (skunk) have also been associated with human infections [4]. Among these zoonotic species and genotypes, C. hominis and C. parvum are responsible for the majority of human infections [5,6] as well as the majority of waterborne outbreaks in human communities [7]; therefore, these two species are considered major zoonotic species of public health concern. Livestock species infected with zoonotic Cryptosporidium species and genotypes are considered a public health risk due to the possibility of transmitting infective oocysts to humans through direct contact [8] or by contaminating sources of drinking or recreational water leading to human waterborne cryptosporidiosis [9,10].
Cryptosporidium infections in sheep have been reported globally from numerous countries [11]. The most common Cryptosporidium species reported in sheep are C. ubiquitum, C. xiaoi, and C. parvum [12]. However, infections with other species such as C. andersoni, C. baileyi, C. bovis, C. canis, C. fayeri, C. hominis, C. ryanae, C. scrofarum, and C. suis have also been reported in sheep [13,14,15]. Sheep infections with different Cryptosporidium species present a wide range of risks to public health. For example, because of the high load of fecal shedding of oocysts in infected sheep [16], when C. parvum or C. hominis dominates the sheep infections on a farm, it generates higher zoonotic risks to farmworkers and to environmental matrices, such as drinking water during conditions of rainfall and pasture runoff.
In the United States, previous work has indicated that C. ubiquitum is the dominant species infecting sheep in the state of Maryland on the east coast of the US, followed by C. xiaoi and C. parvum [17]. California, which is located on the west coast of the US, is a region of major livestock production including sheep. California has nearly 4000 sheep operations and over 555,000 sheep and lambs, ranking second largest in the US [18]. We previously completed an epidemiological study of the prevalence and intensity of fecal shedding of Cryptosporidium oocysts in sheep in California [16]. Using archived DNA samples from microscopic positive samples, the objective of the current work was to determine the distribution of zoonotic versus non-zoonotic Cryptosporidium species in this statewide survey of California sheep ranches.

2. Results

2.1. Genotypes of Cryptosporidium in Sheep in California

Among the 138 microscopic positive samples across all sheep ranches, 88 (63.8%) samples from infected individual animals were successfully genotyped by sequencing a fragment of the 18s rRNA gene. The alignment of the 88 sequences resulted in four genogroups of Cryptosporidium in sheep in California. Except for genogroup 1, which contained only one isolate, sequences in genogroups 2, 3, and 4 were composed of multiple variants (i.e., a, b, c, d, e, and f) due to several nucleotide differences between the sequences. Genogroup 1 contained one isolate; genogroup 2 contained nine isolates; genogroup 3 contained 34 isolates; and genogroup 4 contained 44 isolates (Table 1). To avoid redundancy of submitting identical sequences for each variant, fifteen sequences were selected to represent these four genogroups and within-genogroup variants and were deposited into GenBank with accession numbers ON245368–ON245383.
BLAST analysis indicated that the 1 isolate in genogroup 1 was 100% identical to C. parvum isolates in GenBank; the 9 isolates in 4 variants (a–d) of genogroup 2 were 99.63–100% identical to C. ubiquitum; the 34 isolates in 6 variants (a–f) of genogroup 3 were 99.49–100% identical to C. xiaoi; and the 44 isolates in 5 variants (a–e) of genogroup 4 were 99.62–100% identical to both C. xiaoi and C. bovis (Table 1). To summarize, 38.6% (34/88) of Cryptosporidium spp. in enrolled California sheep ranches were sequenced as C. xiaoi, 50% (44/88) were C. bovis or C. xiaoi, 10% (9/88) were C. ubiquitum, and only 1.1% (1/88) were C. parvum.

2.2. Distribution of Cryptosporidium by Sheep Age, Breed, Fecal Characteristics, and Ranch Location

Approximately 93% (82/88) of the genotyped Cryptosporidium isolates were from lambs. Among these lamb isolates, only one (2%) was C. parvum and nine (10%) were C. ubiquitum; the remaining 88% (72/82) of Cryptosporidium isolates were C. xiaoi (i.e., genogroup 3) or C. bovis/C. xiaoi (i.e., genogroup 4). Only one Cryptosporidium isolate was from a yearling ewe and was identified as C. xiaoi-c; the remaining five isolates were from ewes and were identified as either C. xiaoi or C. bovis. Because none of the genotyped samples were from diarrheic sheep, no association was found between the Cryptosporidium species and fecal characteristics (Table 2). Stratified by sheep breed, the only C. parvum isolate was detected from Dorper; the nine isolates of C. ubiquitum were found in Capay Red (n = 3), Suffolk (n = 2), and mixed breeds (n = 4) (Table 3). C. xiaoi was distributed among Dorset, Rambouillet, Suffolk, Targhee, and mixed breeds, while C. xiaoi/bovis was distributed among Capay Red, Dorper, Hampshire, Rambouillet, Suffolk, and mixed breeds (Table 3).
The single C. parvum isolate was detected from ranch No. 1 in Sonoma County in northern California. The nine isolates of C. ubiquitum were distributed across four ranches (No. 5, 6, 7, and 11) located in two counties in northern California. All Cryptosporidium isolates in sheep from other farms were either C. xiaoi or C. bovis (Table 4).

2.3. Phylogenetic Relationships between C. bovis, C. ubiquitum, and C. xiaoi from California and Other Geographical Locations

The phylogenetic relationships between C. ubiquitum from California sheep and C. ubiquitum strains from other geographical locations are shown in Figure 1. The Californian C. ubiquitum (genogroup-a) is close to the strain isolated from Iraq; the genogroup-b and c formed a clade with strains from the UK, China, and Ghana; and the genogroup-d formed another clade with strains from Iran, the UK, Maryland, and Spain (Figure 1). These phylogenetic results indicate that variant strains of C. ubiquitum are widely distributed across diverse geographical locations.
C. xiaoi (genogroup 3 a–f) and C. xiaoi/C. bovis (genogroup 4 a–d) from sheep in California formed multiple clades with strains of C. bovis and C. xiaoi from sheep from various worldwide locations (Figure 2). C. xiaoi strains (a, b, c, and d) from California are in a clade with C. xiaoi and C. bovis from several countries, including Australia, Egypt, Ethiopia, Ghana, Spain, and the UK; C. xiaoi-e formed a clade with strains of C. xiaoi from Norway and Poland; and C. xiaoi-f formed a clade with C. xiaoi/C. bovis (genogroup 4 b) from California and C. xiaoi strains from China, Iraq, and Poland. C. xiaoi/C. bovis strains (genogroup 4 c, d, and e) are closely related to the clade of C. xiaoi from California, Norway, and Poland. C. xiaoi/C. bovis strains (genogroup 4 a) are in a clade with stains of C. xiaoi from Poland and Romania. The results indicate that (1) the C. xiaoi/C.bovis strains (genogroup 4) from California sheep are more likely related to C. xiaoi, and (2) various strains exist in C. xiaoi that are distributed across geographical locations.

3. Discussion

Given that the sequencing of the 18S rRNA gene is generally the most common method for the genotyping and speciation of Cryptosporidium spp. [6], the present study focused on the 18S rRNA sequences to compare Cryptosporidium from sheep throughout California with Cryptosporidium sequences in GenBank. Using the nucleotide BLAST’s default setting of targeting 100 sequences, genogroup 1 was 100% identical to 100 sequences of C. parvum; variants of genogroup 2 were 99.63–100% identical to 8 to 57 sequences of C. ubiquitum; variants of genogroup 3 were 99.49–100% identical to 3 to 7 sequences of C. xiaoi in GenBank. Because of the high sequence similarity, it is highly likely that the single isolate of genogroup 1 is C. parvum, the 9 isolates of genogroup 2 are C. ubiquitum, and the 34 isolates in genogroup 3 are C. xiaoi. For genogroup 4, given that the isolates with maximum sequence similarity were equivalent for both C. xiaoi and C. bovis from sheep and goats (Table 1), it is difficult to determine the species of Cryptosporidium for these 44 isolates in genogroup 4; they could be either C. xiaoi or C. bovis.
This confusion over which species of Cryptosporidium is present in a single fecal sample may also be the result of a mixed infection with more than one Cryptosporidium species in sheep; for example, C. bovis and C. ubiquitum mixed infection was observed in sheep in the UK [19], and C. parvum and C. xiaoi mixed infections were observed in sheep in Australia [20]. However, because the sequences were identical to more isolates of C. xiaoi than C. bovis, the genogroup 4 isolates could be more related to C. xioai. This assertion is supported by the phylogenetic analysis because genogroup 4 isolates were in clades closer to C. xiaoi than C. bovis (Figure 2). In summary, the combination of BLAST and phylogenetic analyses allowed us to identify Cryptosporidium species in sheep in California. Our results agree with previous reports that C. xiaoi, C. ubiquitum, and C. parvum are the most common Cryptosporidium species infecting sheep.
The distribution of the common Cryptosporidium species infecting sheep, namely, C. xiaoi, C. ubiquitum, and C. parvum, varies by worldwide geographical location [12]. C. xiaoi was the most common species in sheep in Egypt [21]; Ghana [22]; Tunisia [23]; Tanzania [24]; and Poland [25]. C. ubiquitum was the most common species in sheep/goat in Belgium [26]; Norway [27]; Brazil [28]; and Ethiopia [29]. C. parvum was found to be most common species in sheep in Spain [30,31,32,33]; Portugal [34]; Romania [35]; Italy [36]); Greece [37]; Zambia [38]); and Ireland [14]. In Australia, while two studies reported C. xiaoi as the most common species [20,39], a different pair of studies reported C. ubiquitum as most common species [13,40]. Another study found C. parvum as the most common species [41]. In the United Kingdom, similar contradictions occurred: one study found C. xiaoi was the most common species [42], while another study found C. ubiquitum as the most common species [19], and other studies reported C. parvum as the most common species [43,44,45]. Similarly, in China, some studies reported C. xiaoi as most common species [11,46,47], while other studies reported C. ubiquitum as most common species [48]. In the United States, a study reported C. ubiquitum as the dominant species followed by C. xiaoi and C. parvum in sheep in the state of Maryland [17] on the east coast.
In addition to geographical locations, the distribution of Cryptosporidium species in sheep can also vary by farm, sheep age, and season [11]. In our study, based on genotyping of >60% (88/138) of all the microscopic positive samples, nearly 90% (78/88) of Cryptosporidium from the California sheep were identified as C. xiaoi or C. bovis. C. ubiquitum comprised only 10% (9/88) of these isolates and C. parvum comprised only 1% (1/88). Given that C. xiaoi, C. bovis, and C. ubiquitum are of minor zoonotic concern due to few human cases being attributable to these species, our results indicate that sheep in California ranches are not a major reservoir of major zoonotic Cryptosporidium of public health concern. Our findings are in agreement with the reports of Cryptosporidium in sheep in Western Australia [13], which were also not a major reservoir of major zoonotic Cryptosporidium, based on the observation that the majority of genotyped Cryptosporidium from sheep were C. ubiquitum, which is not commonly found in humans. These findings suggest that sheep-derived Cryptosporidium might have been overestimated in the past as a significant cause of waterborne human cryptosporidiosis.
The single C. parvum isolate and all the isolates of C. ubiquitum were detected in lambs (Table 2). This could be due to the majority of the microscopic positive samples being from lambs (87.7% or 121/138); subsequently, the majority genotyped isolates were from lambs (93.2% or 82/88), in part due to lambs being more susceptible than yearlings or ewes to zoonotic infections with C. parvum and C. ubiquitum. In our previous work, we found a higher prevalence and higher intensity of oocyst shedding in lambs compared to yearlings and ewes; in addition, contact with cattle increased fecal oocyst shedding significantly [16]. Beneficial management practices, such as avoiding contact between sheep and cattle, and accessing surface water as drinking water, may help reduce the transmission of zoonotic Cryptosporidium species within and between livestock species.
Using existing knowledge of Cryptosporidium species of different zoonotic potential, this study assessed the zoonotic risks of Cryptosporidium from sheep in California. The findings of our studies suggest that diverse Cryptosporidium species are prevalent in different ages and breeds of sheep on California ranches, and that the majority of cryptosporidial species are not of significant public health concern. This work also contributes to the research of species and genotypes of Cryptosporidium infection in sheep worldwide.

4. Materials and Methods

4.1. Sample Collection

An epidemiological study was conducted to investigate the prevalence of Cryptosporidium and intensity of fecal shedding of oocysts in sheep, and to identify risk factors for sheep infection in California, USA [16]. Through collaborations with livestock and natural resource advisors of the University of California Cooperative Extension, 16 sheep ranches located in Northern and Central California (Figure 3) were enrolled in this study based on voluntarily participation. Four ranches were located in the Mountain North region, four in the Central Valley North region, five in the San Francisco Bay Area, and three in the Central Coast region (Figure 3). A total of 798 fecal samples from 372 adult ewes, 31 yearlings, and 395 lambs were collected and tested for Cryptosporidium spp. We found that the overall prevalence of Cryptosporidium in California sheep was 17.3% (138/798), with access to surface sources of drinking water and contact with cattle being significantly associated with a higher risk of oocyst shedding in sheep of all ages [16]. Using archived DNA samples from this epidemiological study, the objective of the current work was to determine the genotypes of Cryptosporidium in sheep in California, USA.

4.2. DNA Extraction, PCR, and Sequencing

All fecal samples that were microscopic positive of Cryptosporidium oocysts were subjected to genotyping of Cryptosporidium. A 0.2 g of fresh feces was exposed to 5 cycles of freeze (−80 °C) and thaw (+70 °C), and then used for DNA extraction by using the DNA Stool Mini Kit (Qiagen, Hilden, Germany) according to the manufacturer’s instructions. All DNA samples were stored at −20 °C until further analysis. A nested PCR was performed on DNA samples using primers and reaction conditions amplifying an ~830 bp fragment of the 18S rRNA gene according to methods previously described [49,50]. A DNA template of C. parvum isolated from calves from a local dairy farm was used as a positive control, and a negative control without DNA template was included. PCR products were verified by electrophoresis in 2% agarose gel stained with ethidium bromide. Products of the secondary PCR were purified using Qiaquick spin columns (Qiagen) and sequenced at the UC Davis DNA Sequencing Facility using an ABI 3730 capillary electrophoresis genetic analyzer (Applied Biosystems Inc., Foster City, CA, USA). Primers of the secondary PCR were used for sequencing in both forward and reverse directions. Consensus sequences were generated from the forward and reverse sequences of each isolate using Vector NTI Advanced 11 software (Invitrogen Corporation, Carlsbad, CA, USA).

4.3. BLAST Analysis

To compare Cryptosporidium spp. isolates with existing reference species and genotypes of Cryptosporidium in GenBank, selected representative sequences of each genogroup were aligned with other Cryptosporidium sequences in GenBank using the NCBI’s online nucleotide basic local alignment search tool (BLAST). The BLAST analysis was optimized for highly similar sequences using default algorithm parameters and 100 maximum targeting sequences (6 April 2022, as last day accessed).
The rationale for conducting this BLAST analysis was that comparative genotyping is commonly used to broadly characterize the zoonotic or human-infection risk for a novel isolate of Cryptosporidium. For example, if the DNA sequence for a reasonably long section of the 18S rRNA gene from a Cryptosporidium isolate is either highly related (≥99.5%) or has 100% sequence homogeneity to a known zoonotic species or genotype, the isolate is typically considered to be zoonotic and infectious to humans. In contrast, if the DNA sequence for an isolate is not highly related to any known zoonotic species or genotypes of this parasite, it is generally considered not zoonotic. Although this decision process is not perfect, it is a current convention used by many researchers and regulatory agencies around the world to assign zoonotic disease risk of an isolate of Cryptosporidium found either in water, food, or animals.

4.4. Phylogenetic Analysis

Because of the diverse genotypes observed of C. bovis/C. xiaoi and C. xioai in sheep in California, we conducted a phylogenetic analysis to compare C. bovis/C. xiaoi and C. xiaoi from our study to C. bovis and C. xiaoi from sheep worldwide. Similarly, a phylogenetic analysis was conducted to compare C. ubiquitum from our study to C. ubiquitum from sheep worldwide. Sequence alignments were conducted using the online ‘Multiple Sequence Alignment’ tool at Clustal Omega (https://www.ebi.ac.uk/Tools/msa/clustalo/ (accessed on 6 May 2022)). Phylogenetic trees were constructed using the online ‘Simple Phylogeny’ tool (https://www.ebi.ac.uk/Tools/phylogeny/simple_phylogeny/ (accessed on 10 May 2022)) using the neighbor-joining method. Depending on the availability of sequences of Cryptosporidium from sheep in GenBank, reference sequences for the phylogenetic analyses were selected based on: (1) sequences of the 18s rRNA genes; (2) sequences of C. bovis, C. ubiquitum, and C. xiaoi from sheep/goat; (3) sequences representative of different geographical locations; and (4) sequence length (longer sequences available for each species, i.e., ~ 500 bp or longer) [51,52]. Information of Cryptosporidium species, locations, and GenBank accession numbers of selected sequences is available in Figure 1 and Figure 2.

5. Conclusions

The results of our study demonstrate that C. xiaoi was the dominant Cryptosporidium species isolated from sheep in California, which indicates that California sheep do not appear to be a major reservoir of zoonotic Cryptosporidium species of major public health concern in California ranches (i.e., not a major source of C. parvum or C. hominis). The findings of this work and our previous studies suggest that managing lamb health, avoiding contact with cattle, and using secure sources of drinking water for sheep may help to reduce the shedding of zoonotic Cryptosporidium in sheep in California ranches. Future studies are warranted to further investigate the geographical distributions and epidemiology of Cryptosporidium species in small ruminants.

Author Contributions

Conceptualization, E.R.A.; methodology, T.V., X.L. and E.R.A.; software, X.L. and E.R.A.; validation, X.L. and E.R.A.; formal analysis, T.V., X.L. and E.R.A.; investigation, T.V., X.L. and E.R.A.; resources, E.R.A.; data curation, T.V. and X.L.; writing—original draft preparation, X.L.; writing—review and editing, X.L. and E.R.A.; visualization, X.L. and E.R.A.; supervision, E.R.A.; project administration, E.R.A.; funding, E.R.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no extramural funding and instead was provided as discretionary funds from Atwill.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The DNA sequences of Cryptosporidium from sheep in California and around the world are available at https://www.ncbi.nlm.nih.gov/nuccore, with the accession number of each sequence cited in the text of the article.

Acknowledgments

The authors thank the sheep farms for participation in this study and their collaborations in collecting fecal samples from sheep and data of farm management practices.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Fayer, R. Taxonomy and Species Delimitation in Cryptosporidium. Exp. Parasitol. 2010, 124, 90–97. [Google Scholar] [CrossRef] [PubMed]
  2. Garcia-R, J.C.; Hayman, D.T.S. Origin of a Major Infectious Disease in Vertebrates: The Timing of Cryptosporidium Evolution and Its Hosts. Parasitology 2016, 143, 1683–1690. [Google Scholar] [CrossRef] [PubMed]
  3. Li, X.; Atwill, E.R. Diverse Genotypes and Species of Cryptosporidium in Wild Rodent Species from the West Coast of the USA and Implications for Raw Produce Safety and Microbial Water Quality. Microorganisms 2021, 9, 867. [Google Scholar] [CrossRef]
  4. Zahedi, A.; Paparini, A.; Jian, F.; Robertson, I.; Ryan, U. Public Health Significance of Zoonotic Cryptosporidium Species in Wildlife: Critical Insights into Better Drinking Water Management. Int. J. Parasitol. Parasites Wildl. 2016, 5, 88–109. [Google Scholar] [CrossRef] [PubMed]
  5. Ryan, U.; Zahedi, A.; Paparini, A. Cryptosporidium in Humans and Animals-a One Health Approach to Prophylaxis. Parasite Immunol. 2016, 38, 535–547. [Google Scholar] [CrossRef]
  6. Xiao, L.; Fayer, R.; Ryan, U.; Upton, S.J. Cryptosporidium Taxonomy: Recent Advances and Implications for Public Health. Clin. Microbiol. Rev. 2004, 17, 72–97. [Google Scholar] [CrossRef]
  7. Zahedi, A.; Monis, P.; Gofton, A.W.; Oskam, C.L.; Ball, A.; Bath, A.; Bartkow, M.; Robertson, I.; Ryan, U. Cryptosporidium Species and Subtypes in Animals Inhabiting Drinking Water Catchments in Three States across Australia. Water Res. 2018, 134, 327–340. [Google Scholar] [CrossRef]
  8. Xiao, L.; Feng, Y. Zoonotic Cryptosporidiosis. FEMS Immunol. Med. Microbiol. 2008, 52, 309–323. [Google Scholar] [CrossRef]
  9. Wei, X.; Hou, S.; Pan, X.; Xu, C.; Li, J.; Yu, H.; Chase, J.; Atwill, E.R.; Li, X.; Chen, K.; et al. Microbiological Contamination of Strawberries from U-Pick Farms in Guangzhou, China. Int. J. Environ. Res. Public. Health 2019, 16, 4910. [Google Scholar] [CrossRef]
  10. Kilonzo, C.; Li, X.; Vodoz, T.; Xiao, C.; Chase, J.A.; Jay-Russell, M.T.; Vivas, E.J.; Atwill, E.R. Quantitative Shedding of Multiple Genotypes of Cryptosporidium and Giardia by Deer Mice (Peromyscus Maniculatus) in a Major Agricultural Region on the California Central Coast. J. Food Prot. 2017, 80, 819–828. [Google Scholar] [CrossRef]
  11. Mi, R.; Wang, X.; Huang, Y.; Mu, G.; Zhang, Y.; Jia, H.; Zhang, X.; Yang, H.; Wang, X.; Han, X.; et al. Sheep as a Potential Source of Zoonotic Cryptosporidiosis in China. Appl. Environ. Microbiol. 2018, 84, e00868-18. [Google Scholar] [CrossRef] [PubMed]
  12. Guo, Y.; Li, N.; Ryan, U.; Feng, Y.; Xiao, L. Small Ruminants and Zoonotic Cryptosporidiosis. Parasitol. Res. 2021, 120, 4189–4198. [Google Scholar] [CrossRef] [PubMed]
  13. Ryan, U.M.; Bath, C.; Robertson, I.; Read, C.; Elliot, A.; McInnes, L.; Traub, R.; Besier, B. Sheep May Not Be an Important Zoonotic Reservoir for Cryptosporidium and Giardia Parasites. Appl. Environ. Microbiol. 2005, 71, 4992–4997. [Google Scholar] [CrossRef] [PubMed]
  14. Mirhashemi, M.E.; Zintl, A.; Grant, T.; Lucy, F.; Mulcahy, G.; Waal, T.D. Molecular Epidemiology of Cryptosporidium Species in Livestock in Ireland. Vet. Parasitol. 2016, 216, 18–22. [Google Scholar] [CrossRef] [PubMed]
  15. Zhang, X.; Jian, Y.; Li, X.; Ma, L.; Karanis, G.; Qigang, C.; Karanis, P. Molecular Detection and Prevalence of Cryptosporidium Spp. Infections in Two Types of Domestic Farm Animals in the Qinghai-Tibetan Plateau Area (QTPA) in China. Parasitol. Res. 2018, 117, 233–239. [Google Scholar] [CrossRef] [PubMed]
  16. Li, X.; Vodovoz, T.; Xiao, C.; Rowe, J.D.; Edward, R. Atwill. Intensity Characterization of Fecal Shedding of Cryptosporidium and Risk Factors In Sheep Farms In California, USA. J. Vet. Med. Res. 2018, 5, 1–9. [Google Scholar]
  17. Santín, M.; Trout, J.M.; Fayer, R. Prevalence and Molecular Characterization of Cryptosporidium and Giardia Species and Genotypes in Sheep in Maryland. Vet. Parasitol. 2007, 146, 17–24. [Google Scholar] [CrossRef]
  18. ASIA (American Sheep Industry Association). Fast Facts About Sheep Production. Available online: https://www.sheepusa.org/resources-materials-fastfacts (accessed on 30 April 2022).
  19. Elwin, K.; Rachel, M. Chalmers Contemporary Identification of Previously Reported Novel Cryptosporidium Isolates Reveals Cryptosporidium Bovis and the Cervine Genotype in Sheep (Ovis Aries). Parasitol. Res. 2008, 102, 1103–1105. [Google Scholar] [CrossRef]
  20. Sweeny, J.P.A.; Ryan, U.M.; Robertson, I.D.; Yang, R.; Bell, K.; Jacobson, C. Longitudinal Investigation of Protozoan Parasites in Meat Lamb Farms in Southern Western Australia. Prev. Vet. Med. 2011, 101, 192–203. [Google Scholar] [CrossRef]
  21. Mahfouz, M.E.; Mira, N.; Amer, S. Prevalence and Genotyping of Cryptosporidium Spp. in Farm Animals in Egypt. J. Vet. Med. Sci. 2014, 76, 1569–1575. [Google Scholar] [CrossRef]
  22. Squire, S.A.; Yang, R.; Robertson, I.; Ayi, I.; Ryan, U. Molecular Characterization of Cryptosporidium and Giardia in Farmers and Their Ruminant Livestock from the Coastal Savannah Zone of Ghana. Infect. Genet. Evol. 2017, 55, 236–243. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Soltane, R.; Guyot, K.; Dei-Cas, E.; Ayadi, A. Prevalence of Cryptosporidium Spp. (Eucoccidiorida: Cryptosporiidae) in Seven Species of Farm Animals in Tunisia. Parasite 2007, 14, 335–338. [Google Scholar] [CrossRef] [PubMed]
  24. Parsons, M.B.; Travis, D.; Lonsdorf, E.V.; Lipende, I.; Roellig, D.M.A.; Kamenya, S.; Zhang, H.; Xiao, L.; Gillespie, T.R. Epidemiology and Molecular Characterization of Cryptosporidium Spp. in Humans, Wild Primates, and Domesticated Animals in the Greater Gombe Ecosystem, Tanzania. PLoS Negl. Trop. Dis. 2015, 9, e0003529. [Google Scholar] [CrossRef]
  25. Kaupke, A.; Michalski, M.M.; Rzeżutka, A. Diversity of Cryptosporidium Species Occurring in Sheep and Goat Breeds Reared in Poland. Parasitol. Res. 2017, 116, 871–879. [Google Scholar] [CrossRef]
  26. Geurden, T.; Thomas, P.; Casaert, S.; Vercruysse, J.; Claerebout, E. Prevalence and Molecular Characterisation of Cryptosporidium and Giardia in Lambs and Goat Kids in Belgium. Vet. Parasitol. 2008, 155, 142–145. [Google Scholar] [CrossRef]
  27. Robertson, L.J.; Gjerde, B.K.; Furuseth Hansen, E. The Zoonotic Potential of Giardia and Cryptosporidium in Norwegian Sheep: A Longitudinal Investigation of 6 Flocks of Lambs. Vet. Parasitol. 2010, 171, 140–145. [Google Scholar] [CrossRef] [PubMed]
  28. Paz e Silva, F.; Lopes, R.; Bresciani, K.; Amarante, A.; Araujo, J. High Occurrence of Cryptosporidium Ubiquitum and Giardia Duodenalis Genotype E in Sheep from Brazil. Acta Parasitol. 2014, 59, 193–196. [Google Scholar] [CrossRef] [PubMed]
  29. Wegayehu, T.; Karim, M.R.; Li, J.; Adamu, H.; Erko, B.; Zhang, L.; Tilahun, G. Prevalence and Genetic Characterization of Cryptosporidium Species and Giardia Duodenalis in Lambs in Oromia Special Zone, Central Ethiopia. BMC Vet. Res. 2017, 13, 22. [Google Scholar] [CrossRef] [PubMed]
  30. Quílez, J.; Torres, E.; Chalmers, R.M.; Hadfield, S.J.; del Cacho, E.; Sánchez-Acedo, C. Cryptosporidium Genotypes and Subtypes in Lambs and Goat Kids in Spain. Appl. Environ. Microbiol. 2008, 74, 6026–6031. [Google Scholar] [CrossRef]
  31. Díaz, P.; Quílez, J.; Chalmers, R.M.; Panadero, R.; López, C.; Sánchez-Acedo, C.; Morrondo, P.; Díez-Baños, P. Genotype and Subtype Analysis of Cryptosporidium Isolates from Calves and Lambs in Galicia (NW Spain). Parasitology 2010, 137, 1187–1193. [Google Scholar] [CrossRef]
  32. Castro-Hermida, J.A.; García-Presedo, I.; Almeida, A.; González-Warleta, M.; Correia Da Costa, J.M.; Mezo, M. Cryptosporidium Spp. and Giardia Duodenalis in Two Areas of Galicia (NW Spain). Sci. Total Environ. 2011, 409, 2451–2459. [Google Scholar] [CrossRef] [PubMed]
  33. Díaz, P.; Quílez, J.; Prieto, A.; Navarro, E.; Pérez-Creo, A.; Fernández, G.; Panadero, R.; López, C.; Díez-Baños, P.; Morrondo, P. Cryptosporidium Species and Subtype Analysis in Diarrhoeic Pre-Weaned Lambs and Goat Kids from North-Western Spain. Parasitol. Res. 2015, 114, 4099–4105. [Google Scholar] [CrossRef] [PubMed]
  34. Alves, M.; Xiao, L.; Antunes, F.; Matos, O. Distribution of Cryptosporidium Subtypes in Humans and Domestic and Wild Ruminants in Portugal. Parasitol. Res. 2006, 99, 287–292. [Google Scholar] [CrossRef] [PubMed]
  35. Imre, K.; Luca, C.; Costache, M.; Sala, C.; Morar, A.; Morariu, S.; Ilie, M.S.; Imre, M.; Dărăbuş, G. Zoonotic Cryptosporidium Parvum in Romanian Newborn Lambs (Ovis Aries). Vet. Parasitol. 2013, 191, 119–122. [Google Scholar] [CrossRef] [PubMed]
  36. Paoletti, B.; Giangaspero, A.; Gatti, A.; Iorio, R.; Cembalo, D.; Milillo, P.; Traversa, D. Immunoenzymatic Analysis and Genetic Detection of Cryptosporidium Parvum in Lambs from Italy. Exp. Parasitol. 2009, 122, 349–352. [Google Scholar] [CrossRef]
  37. Tzanidakis, N.; Sotiraki, S.; Claerebout, E.; Ehsan, A.; Voutzourakis, N.; Kostopoulou, D.; Stijn, C.; Vercruysse, J.; Geurden, T. Occurrence and Molecular Characterization of Giardia Duodenalis and Cryptosporidium Spp. in Sheep and Goats Reared under Dairy Husbandry Systems in Greece. Parasite 2014, 21, 45. [Google Scholar] [CrossRef]
  38. Goma, F.Y.; Geurden, T.; Siwila, J.; Phiri, I.G.K.; Gabriel, S.; Claerebout, E.; Vercruysse, J. The Prevalence and Molecular Characterisation of Cryptosporidium Spp. in Small Ruminants in Zambia. Small Rumin. Res. 2007, 72, 77–80. [Google Scholar] [CrossRef]
  39. Yang, R.; Jacobson, C.; Gardner, G.; Carmichael, I.; Campbell, A.J.D.; Ng-Hublin, J.; Ryan, U. Longitudinal Prevalence, Oocyst Shedding and Molecular Characterisation of Cryptosporidium Species in Sheep across Four States in Australia. Vet. Parasitol. 2014, 200, 50–58. [Google Scholar] [CrossRef]
  40. Sweeny, J.P.A.; Robertson, I.D.; Ryan, U.M.; Jacobson, C.; Woodgate, R.G. Impacts of Naturally Acquired Protozoa and Strongylid Nematode Infections on Growth and Faecal Attributes in Lambs. Vet. Parasitol. 2012, 184, 298–308. [Google Scholar] [CrossRef]
  41. Yang, R.; Jacobson, C.; Gordon, C.; Ryan, U. Prevalence and Molecular Characterisation of Cryptosporidium and Giardia Species in Pre-Weaned Sheep in Australia. Vet. Parasitol. 2009, 161, 19–24. [Google Scholar] [CrossRef]
  42. Connelly, L.; Craig, B.H.; Jones, B.; Alexander, C.L. Genetic Diversity of Cryptosporidium Spp. within a Remote Population of Soay Sheep on St. Kilda Islands, Scotland. Appl. Environ. Microbiol. 2013, 79, 2240–2246. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Pritchard, G.C.; Marshall, J.A.; Giles, M.; Chalmers, R.M.; Marshall, R.N. Cryptosporidium Parvum Infection in Orphan Lambs on a Farm Open to the Public. Vet. Rec. 2007, 161, 11–14. [Google Scholar] [CrossRef] [PubMed]
  44. Mueller-Doblies, D.; Giles, M.; Elwin, K.; Smith, R.P.; Clifton-Hadley, F.A.; Chalmers, R.M. Distribution of Cryptosporidium Species in Sheep in the UK. Vet. Parasitol. 2008, 154, 214–219. [Google Scholar] [CrossRef] [PubMed]
  45. Smith, R.P.; Chalmers, R.M.; Mueller-Doblies, D.; Clifton-Hadley, F.A.; Elwin, K.; Watkins, J.; Paiba, G.A.; Hadfield, S.J.; Giles, M. Investigation of Farms Linked to Human Patients with Cryptosporidiosis in England and Wales. Prev. Vet. Med. 2010, 94, 9–17. [Google Scholar] [CrossRef]
  46. Ye, J.; Xiao, L.; Wang, Y.; Wang, L.; Amer, S.; Roellig, D.M.; Guo, Y.; Feng, Y. Periparturient Transmission of Cryptosporidium Xiaoi from Ewes to Lambs. Vet. Parasitol. 2013, 197, 627–633. [Google Scholar] [CrossRef]
  47. Li, P.; Cai, J.; Cai, M.; Wu, W.; Li, C.; Lei, M.; Xu, H.; Feng, L.; Ma, J.; Feng, Y.; et al. Distribution of Cryptosporidium Species in Tibetan Sheep and Yaks in Qinghai, China. Vet. Parasitol. 2016, 215, 58–62. [Google Scholar] [CrossRef]
  48. Wang, Y.; Feng, Y.; Cui, B.; Jian, F.; Ning, C.; Wang, R.; Zhang, L.; Xiao, L. Cervine Genotype Is the Major Cryptosporidium Genotype in Sheep in China. Parasitol. Res. 2010, 106, 341–347. [Google Scholar] [CrossRef]
  49. Xiao, L.; Morgan, U.M.; Limor, J.; Escalante, A.; Arrowood, M.; Shulaw, W.; Thompson, R.C.; Fayer, R.; Lal, A.A. Genetic Diversity within Cryptosporidium Parvum and Related Cryptosporidium Species. Appl. Environ. Microbiol. 1999, 65, 3386–3391. [Google Scholar] [CrossRef]
  50. Xiao, L.; Limor, J.; Bern, C.; Lal, A.A. Epidemic Working Group Tracking Cryptosporidium Parvum by Sequence Analysis of Small Double-Stranded RNA. Emerg. Infect. Dis. 2001, 7, 141–145. [Google Scholar] [CrossRef]
  51. Ruecker, N.J.; Hoffman, R.M.; Chalmers, R.M.; Neumann, N.F. Detection and Resolution of Cryptosporidium Species and Species Mixtures by Genus-Specific Nested PCR-Restriction Fragment Length Polymorphism Analysis, Direct Sequencing, and Cloning. Appl. Environ. Microbiol. 2011, 77, 3998–4007. [Google Scholar] [CrossRef]
  52. Zhou, L.; Yang, C.; Xiao, L. PCR-Mediated Recombination between Cryptosporidium Spp. of Lizards and Snakes. J. Eukaryot. Microbiol. 2003, 50, 563–565. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Phylogenetic relationships between C. ubiquitum from California sheep and a collection of representative C. ubiquitum isolates from sheep and goats from other worldwide locations. IDs of isolates start with the name of species or genotypes, followed by location and GenBank accession number.
Figure 1. Phylogenetic relationships between C. ubiquitum from California sheep and a collection of representative C. ubiquitum isolates from sheep and goats from other worldwide locations. IDs of isolates start with the name of species or genotypes, followed by location and GenBank accession number.
Pathogens 11 01023 g001
Figure 2. Phylogenetic relationships between C. bovis/C. xiaoi and C. xiaoi from California sheep and a collection of representative C. bovis and C. xiaoi isolates from sheep and goats from other worldwide locations. IDs of isolates start with the name of species or genotypes, followed by location and GenBank accession number.
Figure 2. Phylogenetic relationships between C. bovis/C. xiaoi and C. xiaoi from California sheep and a collection of representative C. bovis and C. xiaoi isolates from sheep and goats from other worldwide locations. IDs of isolates start with the name of species or genotypes, followed by location and GenBank accession number.
Pathogens 11 01023 g002
Figure 3. Sheep ranches in central and northern California enrolled in the study (n = 16) for sample collection.
Figure 3. Sheep ranches in central and northern California enrolled in the study (n = 16) for sample collection.
Pathogens 11 01023 g003
Table 1. Comparison of Cryptosporidium spp. from sheep in California with Cryptosporidium species and genotypes in GenBank by BLAST analysis.
Table 1. Comparison of Cryptosporidium spp. from sheep in California with Cryptosporidium species and genotypes in GenBank by BLAST analysis.
Cryptosporidium Genotypes in Sheep
in California
Highly Similar Sequences in GenBank
(Last Access on 6 April 2022)
Cryptosporidium Genogroup
(No. of Samples)
Variant
(No. of Samples)
GenBank
Accession No.
Cryptosporidium
Species and Host
Representative GenBank
Accession No. *
Maximum Percent
Identical (%)
CA sheep
Cryptosporidium genogroup 1 (1)
a (1)ON245368C. parvum, goatMT043934100
CA sheep
Cryptosporidium genogroup 2 (9)
a (5)ON245369C. ubiquitum, sheepMH794165100
b (1)ON245370C. ubiquitum, sheepMH79416599.75
c (1)ON245371C. ubiquitum, sheepMH79416599.63
d (2)ON245372C. ubiquitum, Bactrian camelsMH442993100
CA sheep
Cryptosporidium genogroup 3 (34)
a (1)ON245373C. xiaoi, goatMG60295399.49
b (1)ON245374C. xiaoi, goatMG60295399.87
c (28)ON245375C. xiaoi, goatMG602953100
d (1)ON245376C. xiaoi, goatMG60295399.62
e (2)ON245377C. xiaoi, sheepGU014553100
f (1)ON245378C. xiaoi, goatMG60295399.62
CA sheep
Cryptosporidium genogroup 4 (44)
a (9)ON245379C. xiaoi, sheep
C. bovis, sheep
MH049731
FJ608600
100
100
b (1)ON245380C. xiaoi, goat
C. bovis, sheep
MG602953
EU408315
99.73
99.73
c (1)ON245381C. xiaoi, goat
C. bovis, sheep
KT235699
EU827362
99.62
99.62
d (1)ON245382C. xiaoi, goat
C. bovis, sheep
KT235699
EU827362
99.75
99.75
e (32)ON245383C. xiaoi, goat
C. bovis, sheep
KT235699
EU827362
100
100
* To avoid redundancy, only one isolate was selected to represent maximal percent identical sequences. Genogroup 1 was 100% identical to 100 sequences of C. parvum; genogroup 2 isolates were 99.63–100% identical to 8–57 sequences of C. ubiquitum; genogroup 3 isolates were 99.49–100% identical to 3–7 sequences of C. xiaoi; genogroup 4 isolates were 99.62–100% identical to 7–11 sequences of C. xiaoi and 1–3 sequences of C. bovis.
Table 2. Distribution of Cryptosporidium genotypes in California sheep, stratified by age groups and fecal characteristics.
Table 2. Distribution of Cryptosporidium genotypes in California sheep, stratified by age groups and fecal characteristics.
Age GroupFecal CharacteristicsNo./No. Samples GenotypedCryptosporidium Genotype GroupNumber of Samples
LambPellet47/82C. parvum1
C. ubiquitum-a2
C. ubiquitum-b1
C. ubiquitum-c1
C. ubiquitum-d2
C. xiaoi-a1
C. xiaoi-b1
C. xiaoi-c9
C. xiaoi-f1
C. xiaoi/C. bovis-a7
C. xiaoi/C. bovis-c1
C. xiaoi/C. bovis-e20
Pasty35/82C. ubiquitum-a 3
C. xiaoi-c16
C. xiaoi-d1
C. xiaoi-e2
C. xiaoi/C. bovis-a2
C. xiaoi/C. bovis-d1
C. xiaoi/C. bovis-e10
Diarrhea0/82
YearlingPellet0/1
Pasty1/1C. xiaoi-c1
Diarrhea0/1
EwePellet2/5C. xiaoi-c1
C. xiaoi/C. bovis-b1
Pasty3/5C. xiaoi-c 1
C. xiaoi/C. bovis-e2
Diarrhea0/5
Table 3. Distribution of Cryptosporidium genotypes in California sheep, stratified by sheep breed.
Table 3. Distribution of Cryptosporidium genotypes in California sheep, stratified by sheep breed.
Breed NameNo. of SheepGenotypeNo. of Genotype
Capay Red11C. xiaoi/bovis-a7
C. xiaoi/bovis-b1
C. ubiquitum-c1
C. ubiquitum-d2
Dorper6C. parvum1
C. xiaoi/bovis-e5
Dorset13C. xiaoi-a1
C. xiaoi-c4
C. xiaoi/bovis-c1
C. xiaoi/bovis-e7
Hampshire7C. xiaoi/bovis-e7
Rambouillet5C. xiaoi-c2
C. xiaoi/bovis-e3
Suffolk24C. xiaoi-c15
C. xiaoi-d1
C. xiaoi-f1
C. xiaoi/bovis-a2
C. xiaoi/bovis-d1
C. xiaoi/bovis-e2
C. ubiquitum-a2
Targhee5C. xiaoi-b1
C. xiaoi-c4
Mix *17C. xiaoi-c3
C. xiaoi-e2
C. xiaoi/bovis-e8
C. ubiquitum-a3
C. ubiquitum-b1
* Mixed breeds of Dorper, Finnsheep, Targhee, Suffolk, Hampshire, or White face.
Table 4. Distribution of Cryptosporidium genotypes in California sheep, stratified by counties where the ranch was located.
Table 4. Distribution of Cryptosporidium genotypes in California sheep, stratified by counties where the ranch was located.
Ranch IDCountyPrevalence of
Cryptosporidium
No. Samples Genotyped/No. Positive SamplesCryptosporidium
Genotypes
Number of
Samples
1Sonoma10.2% (5/49)4/5C. parvum1
C. xiaoi-c2
C. xiaoi/C. bovis-a1
2Yolo21.6% (11/51)11/11C. xiaoi-c1
C. xiaoi/C. bovis-e10
3Yolo16.0% (8/50)7/8C. xiaoi-c3
C. xiaoi-e1
C. xiaoi/C. bovis-e3
4Yolo13.7% (7/51)5/7C. xiaoi-c1
C. xiaoi/C. bovis-e4
5Sonoma32.0% (16/50)9/16C. ubiquitum-a1
C. xiaoi-c5
C. xiaoi/C. bovis-a3
6Sonoma16.7% (8/48)2/8C. ubiquitum-a1
C. ubiquitum-c1
7Mendocino25.5% (13/51)5/13C. ubiquitum-b1
C. xiaoi-a1
C. xiaoi-b1
C. xiaoi-c1
C. xiaoi-f1
8Plumas19.2% (10/52)7/10C. xiaoi-c3
C. xiaoi/C. bovis-a1
C. xiaoi/C. bovis-e3
9Plumas10.2% (5/49)1/5C. xiaoi/C. bovis-e1
10Lassen13.0% (7/54)6/7C. xiaoi-c2
C. xiaoi/C. bovis-a1
C. xiaoi/C. bovis-e3
11Lassen18.2% (10/55)8/10C. ubiquitum-a3
C. ubiquitum-d2
C. xiaoi-e1
C. xiaoi/C. bovis-a1
C. xiaoi/C. bovis-e1
12San Luis Obispo14.5% (9/62)5/9C. xiaoi-c4
C. xiaoi/C. bovis-b1
13San Luis Obispo14.5% (8/55)6/8C. xiaoi-c4
C. xiaoi/C. bovis-e2
14San Luis Obispo26.7% (16/60)10/16C. xiaoi-c2
C. xiaoi-d1
C. xiaoi/C. bovis-a2
C. xiaoi/C. bovis-c1
C. xiaoi/C. bovis-e4
15Butte16.1% (5/31)2/5C. xiaoi/C. bovis-d1
C. xiaoi/C. bovis-e1
16Contra Costa0% (0/30)0/0
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Li, X.; Vodovoza, T.; Atwill, E.R. Diverse Genotypes of Cryptosporidium in Sheep in California, USA. Pathogens 2022, 11, 1023. https://doi.org/10.3390/pathogens11091023

AMA Style

Li X, Vodovoza T, Atwill ER. Diverse Genotypes of Cryptosporidium in Sheep in California, USA. Pathogens. 2022; 11(9):1023. https://doi.org/10.3390/pathogens11091023

Chicago/Turabian Style

Li, Xunde, Tamara Vodovoza, and Edward R. Atwill. 2022. "Diverse Genotypes of Cryptosporidium in Sheep in California, USA" Pathogens 11, no. 9: 1023. https://doi.org/10.3390/pathogens11091023

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop