Malignant catarrhal fever (MCF) is a fatal herpesvirus infection of domestic and wild ruminants, with a short and dramatic clinical course characterized primarily by high fever, severe depression, swollen lymph nodes, salivation, diarrhea, dermatitis, neurological disorders, and ocular lesions often leading to blindness. In the present study, fatal clinical cases of sheep associated malignant catarrhal fever (SA-MCF) were identified in cattle in the state of Karnataka. These cases were initially presented with symptoms of diarrhea, respiratory distress, conjunctivitis, and nasal discharges. Laboratory diagnosis confirmed the detection of ovine herpesvirus-2 (OvHV-2) genome in the peripheral blood samples of two ailing animals. The blood samples collected subsequently from sheep of the neighboring areas also showed presence of OvHV-2 genome indicating a nidus of infection in the region. The positive test results were further confirmed by nucleotide sequencing of the OIE approved portion of tegument gene as well as complete ORF8 region of the OvHV-2 genome. Phylogenetic analysis based on the sequence of the latter region indicated close genetic relationship with other OvHV-2 reported elsewhere in the world.

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Background and Objectives: Influenza A/H1N1pdm09 causes respiratory illness and remains a concern for public health. Since its first emergence in 2009, the virus has been continuously circulating in the form of its genetic variants. Influenza A/ H1N1pdm09 surveillance is essential for uncovering emerging variants of epidemiologic and vaccine efficacy. The present study attempts in silico analysis and molecular characterization of Influenza A (H1N1) pdm09 virus circulating and causing major outbreaks in central India during 2009-2019. Materials and Methods: We have investigated the antigenic drift analysis of 96 isolates’ hemagglutinin (HA) gene sequences (59 central Indian and 37 local Indian and 28 global reference HA gene sequences) of Influenza A/H1N1pdm09 viruses from 2009 to 2019. The study includes mutational (Multiple sequence Alignment), phylogenetic (Maximum Likelihood Method), and statistical analysis (Covariance and correlation) of HA sequences submitted in NCBI, IRD and GISAID from central India. Results: Phylogenetic analysis indicated maximum clustering of central Indian HA gene sequences in genogroup 6B. Analysis of amino acid sequence alignment revealed changes in receptor binding site (RBS). The frequency of S220T amino acid substitution was found to be high followed by S202T, K300E A273T, K180Q. The Karl Pearson correlation coefficient (r) and covariance between the number of mutations and the death toll was found +0.246 and +100.3 respectively. Conclusion: The study identifies the continuous genetic variations in the HA gene sequences of circulating Influenza A/ H1N1pdm09 in central India from the year 2009 to 2019. Further suggesting importance of monitoring the gradual evolution of the virus with regards to an increase in virulence, pathogenicity and vaccine efficacy timely.

Genetic and antigenic analysis of H5N1 viruses, isolated in India during a period from year 2006 to 2010, was carried out for selection of the potential H5-HA