Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11960/3161
Title: First molecular identification of fasciola gigantica in slaughtered cattle in cape verde: prevalence, gross pathological lesions, genetic identification and coprological analysis
Authors: Levy, Sara
Calado, Manuela
Mateus, Teresa Letra
Vieira-Pinto, Madalena
Keywords: Fasciolosis
Liver lesions
RFLP
Active shedders
Epidemiology
Issue Date: 3-Jan-2023
Citation: Levy, S., Calado, M., Mateus, T. L. & Vieira-Pinto, M. (2023). First molecular identification of fasciola gigantica in slaughtered cattle in cape verde: prevalence, gross pathological lesions, genetic identification and coprological analysis. Pathogens. 12, 75. https://doi.org/10.3390/pathogens12010075
Abstract: A study on fasciolosis prevalence, gross pathological lesions, fluke genetic identification and coprological analysis was carried out in slaughtered cattle from one abattoir in Cape Verde. Of the 131 cattle inspected over two months, 12 (9.0%) presented fasciolosis-compatible lesions (FCL) that resulted in liver condemnation. The genetic characterization of the flukes collected, through restriction fragment length polymorphism analysis of PCR-amplified fragments (PCR-RFLP), confirmed the presence of Fasciola gigantica; therefore, being the first identification of this species in cattle from Cape Verde. Animals that released Fasciola spp. eggs and, thus, responsible for environment contamination (positive shedders), were identified through coprological analysis (natural sedimentation technique). Of the 12 animals with FCL, samples from 11 were submitted to coprological analysis and 7 (63.6%) were found to be positive shedders. Furthermore, of the 82 animals with non-FCL, randomly selected for coprological analysis, 4 (4.9%) were also found to be positive shedders for Fasciola spp. The results of this study, regarding species identification and coprological analysis, are epidemiologically important to update the information regarding fasciolosis in Cape Verde. The new data could help implement effective strategies for disease control and mitigation, consequently reducing economic loss and the level of animal and human infection from the One Health perspective.
URI: http://hdl.handle.net/20.500.11960/3161
Appears in Collections:ESA - Artigos indexados a outros indexadores

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