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Natural Selection on the Influenza Virus Genome
Author(s) -
Yoshiyuki Suzuki
Publication year - 2006
Publication title -
molecular biology and evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.637
H-Index - 218
eISSN - 1537-1719
pISSN - 0737-4038
DOI - 10.1093/molbev/msl050
Subject(s) - biology , nonsynonymous substitution , genome , natural selection , virus , influenza a virus , negative selection , mutant , virology , epitope , genetics , gene , selection (genetic algorithm) , amino acid , antigen , artificial intelligence , computer science
Influenza viruses are the etiological agents of influenza. Although vaccines and drugs are available for the prophylaxis and treatment of influenza virus infections, the generation of escape mutants has been reported. To develop vaccines and drugs that are less susceptible to the generation of escape mutants, it is important to understand the evolutionary mechanisms of the viruses. Here natural selection operating on all the proteins encoded by the H3N2 human influenza A virus genome was inferred by comparing the numbers of synonymous (d(S) [D(S)]) and nonsynonymous (d(N) [D(N)]) substitutions per site. Natural selection was also inferred for the groups of functional amino acid sites involved in B-cell epitopes (BCEs), T-cell epitopes (TCEs), drug resistance, and growth in eggs. The entire region of PB1-F2 was positively selected, and positive selection also appeared to operate on BCEs, TCEs, and growth in eggs. The frequency of escape mutant generation appeared to be positively correlated with the d(N)/d(S) (D(N)/D(S)) values for the targets of vaccines and drugs, suggesting that the amino acid sites under strong functional constraint are suitable targets. In particular, TCEs may represent candidate targets because the d(N)/d(S) (D(N)/D(S)) values were small and negative selection was inferred for many of them.

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