Bioinformatics analysis of rabbit haemorrhagic disease virus genome

• Published in: Virology journal Vol. 8; no. 1; p. 494
• Main Authors: Tian, Xiao-ting, Li, Bao-yu, Zhang, Liang, Jiao, Wen-qiang, Liu, Ji-xing
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 01.11.2011; BioMed Central; BMC
• Subjects: Animal diseases; Animals; Bacteriology; Bias; Bioinformatics; Codon; Codon usage; Computational biology; Computational Biology - methods; Evolution; Expression; Gene mutations; Genetic aspects; Genetics; Genome, Viral; Genomes; Health aspects; Hemorrhagic Disease Virus, Rabbit - genetics; Hemorrhagic diseases; Open Reading Frames; Principal components analysis; R&D; Rabbit haemorrhagic disease virus (RHDV); Rabbits; Research & development; Ribonucleic acid; Risk factors; RNA; RNA, Viral - genetics; Severe acute respiratory syndrome; Viral Proteins - genetics; China
• ISSN: 1743-422X; 1743-422X
• DOI: 10.1186/1743-422X-8-494

Rabbit haemorrhagic disease virus (RHDV), as the pathogeny of Rabbit haemorrhagic disease, can cause a highly infectious and often fatal disease only affecting wild and domestic rabbits. Recent researches revealed that it, as one number of the Caliciviridae, has some specialties in its genome, its reproduction and so on. In this report, we firstly analyzed its genome and two open reading frameworks (ORFs) from this aspect of codon usage bias. Our researches indicated that mutation pressure rather than natural is the most important determinant in RHDV with high codon bias, and the codon usage bias is nearly contrary between ORF1 and ORF2, which is maybe one of factors regulating the expression of VP60 (encoding by ORF1) and VP10 (encoding by ORF2). Furthermore, negative selective constraints on the RHDV whole genome implied that VP10 played an important role in RHDV lifecycle. We conjectured that VP10 might be beneficial for the replication, release or both of virus by inducing infected cell apoptosis initiate by RHDV. According to the results of the principal component analysis for ORF2 of RSCU, we firstly separated 30 RHDV into two genotypes, and the ENC values indicated ORF1 and ORF2 were independent among the evolution of RHDV.