Semi-quantitative evaluation of Babesia bovis and B. bigemina infection levels estimated by HRM analysis
Autor: | Luciana Morita Katiki, Cintia Hiromi Okino, Bianca Tainá Azevedo, Rodrigo Giglioti, Henrique Nunes de Oliveira, Anibal Eugênio Vercesi Filho, Márcia Cristina de Sena Oliveira, Bruna Costa Rodrigues Wedy, Cecília José Veríssimo, Gunta Gutmanis |
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Přispěvatelé: | Rua Heitor Penteado, Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA), Universidade Estadual Paulista (Unesp) |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
0301 basic medicine
Veterinary medicine Absolute quantification 030231 tropical medicine Babesia Cattle Diseases Biology Real-Time Polymerase Chain Reaction Microbiology 03 medical and health sciences 0302 clinical medicine Babesiosis medicine Animals semi-quantification Babesia bovis DNA Protozoan biology.organism_classification medicine.disease Pathogenicity Bovine babesiosis qPCR 030104 developmental biology Infectious Diseases Tick-Borne Diseases Insect Science Parasitology Cattle Babesia species Semi quantitative HRM analysis |
Zdroj: | Scopus Repositório Institucional da UNESP Universidade Estadual Paulista (UNESP) instacron:UNESP |
Popis: | Made available in DSpace on 2021-06-25T10:32:32Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-09-01 National Institute of Animal Science Bovine babesiosis is economically the most important arthropod-borne disease of cattle worldwide. The most significant damage caused by bovine babesiosis is attributed to Babesia bovis due to its higher pathogenicity. This study aimed to develop a real-time PCR method followed by HRM (high-resolution melting) analysis for the simultaneous detection of B. bovis and B. bigemina, enabling a semi-quantitative analysis of Babesia levels using a single-tube reaction. The HRM was compared with real-time PCR using species-specific hydrolysis probes. The HRM analysis allowed to differentiate both Babesia species and was sensitive in the detection and differentiation of 10% for each Babesia species in the sample. Our results suggest the use of this method to estimate the prevalence of infections by B. bovis or B. bigemina as an alternative to the methods of absolute quantification by real-time PCR since it neither requires precise estimates of the number of DNA loads nor the construction of calibration curves. The simultaneous detection of the two Babesia species can be used to characterise the infection levels in cattle populations from different geographical regions, allowing a better control of these diseases. Instituto de Zootecnia Rua Heitor Penteado, n. 56, Nova Odessa Embrapa Pecuária Sudeste Universidade Estadual Júlio de Mesquita Filho Universidade Estadual Júlio de Mesquita Filho |
Databáze: | OpenAIRE |
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