Literature DB >> 32587907

Malignant Catarrhal Fever in Cattle in the Irkutsk Region.

Olga Zakharova1, Nadezhda Toropova1, Olga Burova1, Ilya Titov1, Ivan Meltsov2, Andrey Blokhin1.   

Abstract

INTRODUCTION: Malignant catarrhal fever (MCF) is a rare, under-explored lethal viral infection of cattle with gammaherpesvirus aetiological agents. Most often, the disease occurs on farms where cattle and sheep are kept together. However, other trigger mechanisms and environmental factors contribute. This study investigates the causation of MCF.
MATERIAL AND METHODS: An outbreak of MCF occurred in June - August 2017 in Kharchev village in Irkutsk Oblast, Russia. In this paper, we provide epidemiological (sanitary status of pastures, watering places, and premises) and weather data during the outbreak, and descriptions of the clinical signs and post-mortem changes in cattle. The virus was detected and isolated from pathological material samples and identified by molecular methods.
RESULTS: Extreme weather conditions, mixed-herd cattle and sheep farming, and unsatisfactory feed quality contributed to the outbreak. A virus related to herpesvirus OvHV2 was isolated and typed (MCF/Irkutsk/2017). Phylogenetic analysis showed its close genetic relationship to isolates from cattle and sheep in Germany, USA, and the Netherlands.
CONCLUSION: Sporadic outbreaks of MCF caused by biotic and abiotic factors together are typical for the Russian Federation, and the Irkutsk outbreak epitomised this. Temperature anomalies caused pasture depletion, resulting in feed and water deficiency for grazing animals and dehydration and acidosis. Heat stress in animals ultimately led to the occurrence of MCF in the herd.
© 2020 O. Zakharova et al. published by Sciendo.

Entities:  

Keywords:  Russia; cattle; climate change; clinical signs; malignant catarrhal fever; outbreak

Year:  2020        PMID: 32587907      PMCID: PMC7305638          DOI: 10.2478/jvetres-2020-0035

Source DB:  PubMed          Journal:  J Vet Res        ISSN: 2450-7393            Impact factor:   1.744


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