Identification and analysis of putative promoter motifs in bovine herpes virus



Mahantesh Mallikrjun Kurjogi1, Rajeshwari Danappa Sanakal2 & Basappa Basaveneppa Kaliwal1*



1PG. Dept of Studies in Microbiology and Biotechnology Karnatak University, Dharwad-58003 Karnataka, India; 2Department of Zoology, Karnatak Science College, Dharwad-58003 Karnataka, India


Email; *Corresponding author


Article Type




Received August 11, 2012; Revised September 28, 2012; Accepted November 03, 2012; Published November 23, 2012



The purpose of this study is to identify and analyse the putative promoter motifs in the bovine herpes virus which causes several diseases in cattle worldwide including bovine mastitis with large economic impact on dairy industry. Bovine mastitis caused due to virus is often neglected as bacterial infections are held mainly responsible for the disease. Therefore, in this in silico investigation with all the existing experimental data a total of 147 promoter were identified along with their sequences from three genome viz bovine herpes virus 1 (BHV), bovine herpes virus 4 and bovine herpes virus 5, out of which 39 promoters were from bovine herpes virus 4 (BHV 4), 95 from BHV1 and 13 from BHV5 and it was observed that BHV1 and BHV5 have a close evolutionary history. However, they belong to the same subfamily and size of the genome and GC% of BHV1 and BHV5 was almost equal and very high compare to that of BHV4. This analysis may help in designing the live attenuated vaccine against BHV causing bovine mastitis that reduces the incidence of bovine mastitis. Identification of promoters may also help in designing of expression vectors which help in better understanding of the regulation of gene expression. In the era of large genomics and proteomics prediction of promoters in the whole genome is crucial for the advancement of drug discovery and gene therapy.



Bovine herpes virus, bovine mastitis, promoters, transcription factors, genome.



Kurjogi et al. Bioinformation 8(23): 1167-1170 (2012)

Edited by

P Kangueane






Biomedical Informatics



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