Prevalence, Species Identification and Genotyping Cryptosporidium from Livestock and Deer in a Catchment in the Cairngorms with a History of a Contaminated Public Water Supply

Overview

Journal Parasit Vectors

Publisher Biomed Central

Specialties Parasitology
Tropical Medicine

Date 2015 Feb 5

PMID 25650114

Citations 30

Authors

Beth Wells

Hannah Shaw

Emily Hotchkiss

Janice Gilray

Remedios Ayton

James Green

Frank Katzer

Andrew Wells

Elisabeth Innes

Affiliations

Soon will be listed here.

Abstract

Background: The apicomplexan parasite Cryptosporidium represents a threat to water quality and public health. An important zoonotic species involved in human cryptosporidiosis from contaminated water is Cryptosporidium parvum (C. parvum), the main reservoirs of which are known to be farm livestock particularly neonatal calves, although adult cattle, sheep, lambs and wildlife are also known to contribute to catchment loading of C. parvum. This study aimed to establish Cryptosporidium prevalence, species and genotype in livestock, deer and water in a catchment with a history of Cryptosporidium contamination in the public water supply.

Methods: A novel method of processing adult ruminant faecal sample was used to concentrate oocysts, followed by a nested species specific multiplex (nssm) PCR, targeting the 18S rRNA gene, to speciate Cryptosporidium. A multilocus fragment typing (MLFT) tool was used, in addition to GP60 sequencing, to genotype C. parvum positive samples.

Results: A very high prevalence of Cryptosporidium was detected, with speciation identifying a predominance of C. parvum in livestock, deer and water samples. Four GP60 subtypes were detected within C. parvum with the majority IIaA15G2R1 which was detected in all host species and on all farms. Multilocus fragment typing further differentiated these into 6 highly related multilocus genotypes.

Conclusion: The high prevalence of Cryptosporidium detected was possibly due to a combination of the newly developed sample processing technique used and a reflection of the high rates of the parasite present in this catchment. The predominance of C. parvum in livestock and deer sampled in this study suggested that they represented a significant risk to water quality and public health. Genotyping results suggested that the parasite is being transmitted locally within the study area, possibly via free-roaming sheep and deer. Further studies are needed to verify particular host associations with subtypes/MLGs. Land and livestock management solutions to reduce Cryptosporidium on farm and in the catchment are planned with the aim to improve animal health and production as well as water quality and public health.

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References

Atwill E, Pereira M . Lack of detectable shedding of Cryptosporidium parvum oocysts by periparturient dairy cattle. J Parasitol. 2004; 89(6):1234-6. DOI: 10.1645/GE-3192RN. View

Robinson G, Chalmers R . Assessment of polymorphic genetic markers for multi-locus typing of Cryptosporidium parvum and Cryptosporidium hominis. Exp Parasitol. 2012; 132(2):200-15. DOI: 10.1016/j.exppara.2012.06.016. View

Meinhardt P, Casemore D, Miller K . Epidemiologic aspects of human cryptosporidiosis and the role of waterborne transmission. Epidemiol Rev. 1996; 18(2):118-36. DOI: 10.1093/oxfordjournals.epirev.a017920. View

Atwill E, Johnson E, Klingborg D, Veserat G, Markegard G, Jensen W . Age, geographic, and temporal distribution of fecal shedding of Cryptosporidium parvum oocysts in cow-calf herds. Am J Vet Res. 1999; 60(4):420-5. View

Hunter P, Thompson R . The zoonotic transmission of Giardia and Cryptosporidium. Int J Parasitol. 2005; 35(11-12):1181-90. DOI: 10.1016/j.ijpara.2005.07.009. View

Brook E, Hart C, French N, Christley R . Molecular epidemiology of Cryptosporidium subtypes in cattle in England. Vet J. 2007; 179(3):378-82. DOI: 10.1016/j.tvjl.2007.10.023. View

Silverlas C, Bjorkman C, Egenvall A . Systematic review and meta-analyses of the effects of halofuginone against calf cryptosporidiosis. Prev Vet Med. 2009; 91(2-4):73-84. DOI: 10.1016/j.prevetmed.2009.05.003. View

Xiao L . Molecular epidemiology of cryptosporidiosis: an update. Exp Parasitol. 2009; 124(1):80-9. DOI: 10.1016/j.exppara.2009.03.018. View

Chalmers R, Robinson G, Elwin K, Hadfield S, Thomas E, Watkins J . Detection of Cryptosporidium species and sources of contamination with Cryptosporidium hominis during a waterborne outbreak in north west Wales. J Water Health. 2010; 8(2):311-25. DOI: 10.2166/wh.2009.185. View

10.

Samadder S, Ziegler P, Murphy T, Holden N . Spatial distribution of risk factors for Cryptosporidium spp. transport in an Irish catchment. Water Environ Res. 2010; 82(8):750-8. DOI: 10.2175/106143010x12609736966649. View

11.

Pollock K, Ternent H, Mellor D, Chalmers R, Smith H, Ramsay C . Spatial and temporal epidemiology of sporadic human cryptosporidiosis in Scotland. Zoonoses Public Health. 2009; 57(7-8):487-92. DOI: 10.1111/j.1863-2378.2009.01247.x. View

12.

Castro-Hermida J, Garcia-Presedo I, Gonzalez-Warleta M, Mezo M . Prevalence of Cryptosporidium and Giardia in roe deer (Capreolus capreolus) and wild boars (Sus scrofa) in Galicia (NW, Spain). Vet Parasitol. 2011; 179(1-3):216-9. DOI: 10.1016/j.vetpar.2011.02.023. View

13.

Robinson G, Chalmers R, Stapleton C, Palmer S, Watkins J, Francis C . A whole water catchment approach to investigating the origin and distribution of Cryptosporidium species. J Appl Microbiol. 2011; 111(3):717-30. DOI: 10.1111/j.1365-2672.2011.05068.x. View

14.

Francisco A, Vaz C, Monteiro P, Melo-Cristino J, Ramirez M, Carrico J . PHYLOViZ: phylogenetic inference and data visualization for sequence based typing methods. BMC Bioinformatics. 2012; 13:87. PMC: 3403920. DOI: 10.1186/1471-2105-13-87. View

15.

De Waele V, Berzano M, Speybroeck N, Berkvens D, Mulcahy G, Murphy T . Peri-parturient rise of Cryptosporidium oocysts in cows: new insights provided by duplex quantitative real-time PCR. Vet Parasitol. 2012; 189(2-4):366-8. DOI: 10.1016/j.vetpar.2012.05.002. View

16.

Chalmers R, Elwin K, Thomas A, Guy E, Mason B . Long-term Cryptosporidium typing reveals the aetiology and species-specific epidemiology of human cryptosporidiosis in England and Wales, 2000 to 2003. Euro Surveill. 2009; 14(2). DOI: 10.2807/ese.14.02.19086-en. View

17.

Santin M . Clinical and subclinical infections with Cryptosporidium in animals. N Z Vet J. 2012; 61(1):1-10. DOI: 10.1080/00480169.2012.731681. View

18.

Wilkes G, Ruecker N, Neumann N, Gannon V, Jokinen C, Sunohara M . Spatiotemporal analysis of Cryptosporidium species/genotypes and relationships with other zoonotic pathogens in surface water from mixed-use watersheds. Appl Environ Microbiol. 2012; 79(2):434-48. PMC: 3553788. DOI: 10.1128/AEM.01924-12. View

19.

Norman S, Hobbs R, Wuertz S, Melli A, Beckett L, Chouicha N . Fecal pathogen pollution: sources and patterns in water and sediment samples from the upper Cook Inlet, Alaska ecosystem. Environ Sci Process Impacts. 2013; 15(5):1041-51. DOI: 10.1039/c3em30930d. View

20.

Abeywardena H, Jex A, Firestone S, McPhee S, Driessen N, Koehler A . Assessing calves as carriers of Cryptosporidium and Giardia with zoonotic potential on dairy and beef farms within a water catchment area by mutation scanning. Electrophoresis. 2013; 34(15):2259-67. DOI: 10.1002/elps.201300146. View