Evolutionarily conserved RNA secondary structures in coding and non-codingsequences at the 3 ' end of the hepatitis G virus/GB-virus C genome

Citation
Nm. Cuceanu et al., Evolutionarily conserved RNA secondary structures in coding and non-codingsequences at the 3 ' end of the hepatitis G virus/GB-virus C genome, J GEN VIROL, 82, 2001, pp. 713-722
Citations number
34
Categorie Soggetti
Microbiology
Journal title
JOURNAL OF GENERAL VIROLOGY
ISSN journal
00221317 → ACNP
Volume
82
Year of publication
2001
Part
4
Pages
713 - 722
Database
ISI
SICI code
0022-1317(200104)82:<713:ECRSSI>2.0.ZU;2-3
Abstract
Hepatitis G virus (HGV)/GB virus C (GBV-C) causes persistent, non-pathogeni c infection in a large proportion of the human population, Epidemiological and genetic evidence indicates a long-term association between HGV/GBV-C an d related viruses and a range of primate species, and the cospeciation of t hese viruses with their hosts during primate evolution. Using a combination of covariance scanning and analysis of variability at synonymous sites, we previously demonstrated that the coding regions of HGV/GBV-C may contain e xtensive secondary structure of undefined function (Simmonds & Smith, Journ al of Virology 73, 5787-5794, 1999), In this study we have carried out a de tailed comparison of the structure of the 3'untranslated region (3'UTR) of HGV/GBV-C with that of the upstream NS5B coding sequence. By investigation of free energies on folding, secondary structure predictive algorithms and analysis of covariance between HGV/GBV-C genotypes 1-4 and the more distant ly related HGV/GBV-C chimpanzee variant, we obtained evidence for extensive RNA secondary structure formation in both regions, In particular, the NS5B region contained long stem-loop structures of up to 38 internally paired n ucleotides which were evolutionarily conserved between human and chimpanzee HGV/GBV-C variants. The prediction of similar structures in the same regio n of hepatitis C virus may allow the functions of these structures to be de termined with a more tractable experimental model.