4.3 Article

Molecular investigation of bovine tropical theileriosis outbreak in an organized dairy cattle farm in Madhya Pradesh, India

期刊

PARASITOLOGY RESEARCH
卷 122, 期 9, 页码 2079-2089

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SPRINGER
DOI: 10.1007/s00436-023-07907-2

关键词

Crossbred cattle; Theileria annulata; Outbreak; Phylogeny; Haplotype network; India

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The present study aimed to investigate an outbreak of Theileria annulata infection in a dairy cattle farm in Madhya Pradesh, India, using clinical and molecular techniques. The study found a high prevalence of T. annulata infection in the farm, with different PCR techniques showing positive results in a significant proportion of the samples. Genetic analysis revealed the evolutionary history and population dynamics of T. annulata in India. The study emphasizes the importance of prompt diagnosis and management of T. annulata outbreaks for improving disease control strategies.
The present study aimed to investigate an outbreak of Theileria annulata (T. annulata) infection in an organized dairy cattle farm in Madhya Pradesh, India, using clinical and molecular techniques. Following the deaths of two crossbred cattle in March 2021, 43 blood samples were collected from infected and apparently healthy animals and examined by blood smear and polymerase chain reaction (PCR) techniques. The blood smear examination showed that 23.25% of samples were positive for Theileria organisms, while conventional PCR targeting the 18S ribosomal RNA (18S rRNA) and T. annulata merozoite surface antigen-1 (TAMS-1) genes revealed that 32.55% of samples were positive for T. annulata. PCR targeting cytochrome b (Cytb) gene showed 46.51% of samples were positive for T. annulata. Haematological analysis confirmed clinical signs of infection in affected animals, which were treated with buparvaquone @ 2.5 mg/kg body weight intramuscularly along with supportive medicine. Two 18S rRNA gene amplicons were sequenced and analysed in a phylogenetic tree and haplotype network with 54 Indian and 38 foreign sequences. The phylogenetic tree revealed two groups with a high posterior probability and bootstrap value, while the haplotype network revealed 35 haplotypes, with haplotype 1 (H1) being the most abundant and several single haplotypes clustering around it, indicating fast and widespread expansion. Genetic diversity indices and neutrality tests confirmed that the population was expanding. These studies highlight the significance of prompt and precise diagnosis and management of T. annulata outbreaks and provide insights into its evolutionary history and population dynamics of T. annulata in India, which could aid improving disease preventive and control strategies.

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