Nassiba Reghaissia1,2,3, Sadiya Maxamhud4, AbdElkarim Laatamna5, Houssem Samari1,2, AbdEldjalil Dahmane1,2, Rabeh Berima6, Amine Abdelli7, Ahcene Hakem8, Djamel Baroudi1, Anastasios D Tsaousis4. 1. Higher National Veterinary School, Rue Issad Abbes, El Alia, 1600, Algiers, Algeria. 2. Laboratory of Exploration and Valorization of Steppic Ecosystems, Faculty of Nature and Life Sciences, University of Djelfa, Moudjbara Road, BP 3117, Djelfa, Algeria. 3. Department of Veterinary Medicine, Institute of Agronomic and Veterinary Sciences, University of Souk Ahras, Annaba Road, 41000, Souk Ahras, Algeria. 4. Laboratory of Molecular and Evolutionary Parasitology, RAPID Group, School of Biosciences, University of Kent, Canterbury, Kent, UK. 5. Laboratory of Exploration and Valorization of Steppic Ecosystems, Faculty of Nature and Life Sciences, University of Djelfa, Moudjbara Road, BP 3117, Djelfa, Algeria. laatamnaabdelkarim@yahoo.com. 6. Direction of Fishing and Halieutics Resources, 2400, Guelma, Algeria. 7. Department of Agricultural Sciences, LGVRNAQ, University of Bouira, 10,000, Bouira, Algeria. 8. Research Center in Agropastoralism, Moudjbara Road, Djelfa, Algeria.
Abstract
PURPOSE: The present study aimed to estimate the prevalence and molecular characterization of Cryptosporidium spp. in six different fish species both from marine and freshwater environments. METHODS: During a period of 2 years (2018-2020), a total of 415 fecal samples and 565 intestinal scrapings were collected in seven provinces from the central and eastern Algeria. From those, 860 fish belonged to six different species, two of which are cultured marine and four are wild freshwater fish. All samples were screened for Cryptosporidium spp. presence using molecular techniques. Nested PCR approach was performed to amplify partial sequences of the small subunit ribosomal RNA (SSU rRNA) and 60-kDa glycoprotein (GP60) genes for Cryptosporidium genotyping and subtyping. Detailed statistical analysis was performed to assess the prevalence variation of Cryptosporidium infection according to different risk factors. RESULTS: Nested PCR analysis of SSU gene revealed 173 Cryptosporidium positive fish, giving an overall prevalence of 20.11% (17.5-23.0). Cryptosporidium spp. was detected in 8.93% (42/470) of cultured marine fish and 33.58% (131/390) of wild freshwater fish. Overall, the prevalence was affected by all studied risk factors, except the gender. Molecular characterization and subtyping of Cryptosporidium isolates showed occurrence of IIaA16G2R1 and IIaA17G2R1 subtypes of C. parvum in the fish species Sparus aurata. CONCLUSION: The present study provides the first epidemiological data on the prevalence and associated risk factors of Cryptosporidium spp. in farmed marine and wild freshwater fish and the first molecular data on the occurrence of zoonotic C. parvum in fish from North Africa (Algeria).
PURPOSE: The present study aimed to estimate the prevalence and molecular characterization of Cryptosporidium spp. in six different fish species both from marine and freshwater environments. METHODS: During a period of 2 years (2018-2020), a total of 415 fecal samples and 565 intestinal scrapings were collected in seven provinces from the central and eastern Algeria. From those, 860 fish belonged to six different species, two of which are cultured marine and four are wild freshwater fish. All samples were screened for Cryptosporidium spp. presence using molecular techniques. Nested PCR approach was performed to amplify partial sequences of the small subunit ribosomal RNA (SSU rRNA) and 60-kDa glycoprotein (GP60) genes for Cryptosporidium genotyping and subtyping. Detailed statistical analysis was performed to assess the prevalence variation of Cryptosporidium infection according to different risk factors. RESULTS: Nested PCR analysis of SSU gene revealed 173 Cryptosporidium positive fish, giving an overall prevalence of 20.11% (17.5-23.0). Cryptosporidium spp. was detected in 8.93% (42/470) of cultured marine fish and 33.58% (131/390) of wild freshwater fish. Overall, the prevalence was affected by all studied risk factors, except the gender. Molecular characterization and subtyping of Cryptosporidium isolates showed occurrence of IIaA16G2R1 and IIaA17G2R1 subtypes of C. parvum in the fish species Sparus aurata. CONCLUSION: The present study provides the first epidemiological data on the prevalence and associated risk factors of Cryptosporidium spp. in farmed marine and wild freshwater fish and the first molecular data on the occurrence of zoonotic C. parvum in fish from North Africa (Algeria).
Authors: William Checkley; A Clinton White; Devan Jaganath; Michael J Arrowood; Rachel M Chalmers; Xian-Ming Chen; Ronald Fayer; Jeffrey K Griffiths; Richard L Guerrant; Lizbeth Hedstrom; Christopher D Huston; Karen L Kotloff; Gagandeep Kang; Jan R Mead; Mark Miller; William A Petri; Jeffrey W Priest; David S Roos; Boris Striepen; R C Andrew Thompson; Honorine D Ward; Wesley A Van Voorhis; Lihua Xiao; Guan Zhu; Eric R Houpt Journal: Lancet Infect Dis Date: 2014-09-29 Impact factor: 25.071