Hepatitis A virus (HAV) is a hepatotropic member of the family Picornaviridae. Previous studies suggested that HAV may evolve more slowly than other members of the family. To estimate HAV substitution rates precisely, we used a Bayesian Markov chain Monte Carlo (MCMC) approach on temporally sampled HAV VP1 full-length sequences from strains isolated in France. A mean rate of evolutionary change of 9.76 x 10(-4) nucleotide substitution per site per year was found. The results also revealed that the synonymous rate found for HAV is lower than that of other members of the family. Bayesian skyline plots revealed a sharp decline in the effective number of infections in 1996, coinciding with the introduction of HAV vaccine.

Correspondence analysis of amino acid usage was applied to 14,815 complete proteins from the human genome. We found that three major factors influence the variability of amino acidic composition of these proteins, explaining, respectively 20.4%, 14.7%, and 9.9% of the total variability. The first trend is strongly correlated with the GC content of first and second codon positions and is also significantly correlated with the GC level of the corresponding flanking regions and introns. Therefore, the main force shaping amino acid usage among human proteins are the compositional constraints determined by the isochore in which each gene is embedded. The second trend correlates with the hydropathy of each protein and with the frequency of beta-strands. Finally, the third trend is strongly associated with the usage of Cys and the frequency of alpha-helices.

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