Literature DB >> 9223253

Long term trends in the evolution of H(3) HA1 human influenza type A.

W M Fitch1, R M Bush, C A Bender, N J Cox.   

Abstract

We have studied the HA1 domain of 254 human influenza A(H3N2) virus genes for clues that might help identify characteristics of hemagglutinins (HAs) of circulating strains that are predictive of that strain's epidemic potential. Our preliminary findings include the following. (i) The most parsimonious tree found requires 1,260 substitutions of which 712 are silent and 548 are replacement substitutions. (ii) The HA1 portion of the HA gene is evolving at a rate of 5.7 nucleotide substitutions/year or 5.7 x 10(-3) substitutions/site per year. (iii) The replacement substitutions are distributed randomly across the three positions of the codon when allowance is made for the number of ways each codon can change the encoded amino acid. (iv) The replacement substitutions are not distributed randomly over the branches of the tree, there being 2.2 times more changes per tip branch than for non-tip branches. This result is independent of how the virus was amplified (egg grown or kidney cell grown) prior to sequencing or if sequencing was carried out directly on the original clinical specimen by PCR. (v) These excess changes on the tip branches are probably the result of a bias in the choice of strains to sequence and the detection of deleterious mutations that had not yet been removed by negative selection. (vi) There are six hypervariable codons accumulating replacement substitutions at an average rate that is 7.2 times that of the other varied codons. (vii) The number of variable codons in the trunk branches (the winners of the competitive race against the immune system) is 47 +/- 5, significantly fewer than in the twigs (90 +/- 7), which in turn is significantly fewer variable codons than in tip branches (175 +/- 8). (viii) A minimum of one of every 12 branches has nodes at opposite ends representing viruses that reside on different continents. This is, however, no more than would be expected if one were to randomly reassign the continent of origin of the isolates. (ix) Of 99 codons with at least four mutations, 31 have ratios of non-silent to silent changes with probabilities less than 0.05 of occurring by chance, and 14 of those have probabilities <0.005. These observations strongly support positive Darwinian selection. We suggest that the small number of variable positions along the successful trunk lineage, together with knowledge of the codons that have shown positive selection, may provide clues that permit an improved prediction of which strains will cause epidemics and therefore should be used for vaccine production.

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Year:  1997        PMID: 9223253      PMCID: PMC33681          DOI: 10.1073/pnas.94.15.7712

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  17 in total

1.  Egg fluids and cells of the chorioallantoic membrane of embryonated chicken eggs can select different variants of influenza A (H3N2) viruses.

Authors:  C T Hardy; S A Young; R G Webster; C W Naeve; R J Owens
Journal:  Virology       Date:  1995-08-01       Impact factor: 3.616

2.  Sequence evolution within populations under multiple types of mutation.

Authors:  G B Golding; C F Aquadro; C H Langley
Journal:  Proc Natl Acad Sci U S A       Date:  1986-01       Impact factor: 11.205

3.  An improved method for determining codon variability in a gene and its application to the rate of fixation of mutations in evolution.

Authors:  W M Fitch; E Markowitz
Journal:  Biochem Genet       Date:  1970-10       Impact factor: 1.890

4.  Evolution of influenza virus genes.

Authors:  H Hayashida; H Toh; R Kikuno; T Miyata
Journal:  Mol Biol Evol       Date:  1985-07       Impact factor: 16.240

5.  Identification of sequence changes in the cold-adapted, live attenuated influenza vaccine strain, A/Ann Arbor/6/60 (H2N2).

Authors:  N J Cox; F Kitame; A P Kendal; H F Maassab; C Naeve
Journal:  Virology       Date:  1988-12       Impact factor: 3.616

6.  Identification of the binding sites to monoclonal antibodies on A/USSR/90/77 (H1N1) hemagglutinin and their involvement in antigenic drift in H1N1 influenza viruses.

Authors:  S Nakajima; K Nakajima; A P Kendal
Journal:  Virology       Date:  1983-11       Impact factor: 3.616

7.  Antigenic and genetic variation in influenza A (H1N1) virus isolates recovered from a persistently infected immunodeficient child.

Authors:  E Rocha; N J Cox; R A Black; M W Harmon; C J Harrison; A P Kendal
Journal:  J Virol       Date:  1991-05       Impact factor: 5.103

8.  Positive Darwinian evolution in human influenza A viruses.

Authors:  W M Fitch; J M Leiter; X Q Li; P Palese
Journal:  Proc Natl Acad Sci U S A       Date:  1991-05-15       Impact factor: 11.205

9.  Laboratory-based surveillance of influenza A(H1N1) and A(H3N2) viruses in 1980-81: antigenic and genomic analyses.

Authors:  N J Cox; Z S Bai; A P Kendal
Journal:  Bull World Health Organ       Date:  1983       Impact factor: 9.408

10.  The evolution of prokaryotic ferredoxins--with a general method correcting for unobserved substitutions in less branched lineages.

Authors:  W M Fitch; M Bruschi
Journal:  Mol Biol Evol       Date:  1987-07       Impact factor: 16.240

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  147 in total

1.  Experimental evolution recapitulates natural evolution.

Authors:  H A Wichman; L A Scott; C D Yarber; J J Bull
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2000-11-29       Impact factor: 6.237

2.  Reevaluation of amino acid variability of the human immunodeficiency virus type 1 gp120 envelope glycoprotein and prediction of new discontinuous epitopes.

Authors:  Y Yamaguchi-Kabata; T Gojobori
Journal:  J Virol       Date:  2000-05       Impact factor: 5.103

3.  Codon-substitution models for heterogeneous selection pressure at amino acid sites.

Authors:  Z Yang; R Nielsen; N Goldman; A M Pedersen
Journal:  Genetics       Date:  2000-05       Impact factor: 4.562

4.  Genomic evolution during a 10,000-generation experiment with bacteria.

Authors:  D Papadopoulos; D Schneider; J Meier-Eiss; W Arber; R E Lenski; M Blot
Journal:  Proc Natl Acad Sci U S A       Date:  1999-03-30       Impact factor: 11.205

5.  Mutations as missing data: inferences on the ages and distributions of nonsynonymous and synonymous mutations.

Authors:  R Nielsen
Journal:  Genetics       Date:  2001-09       Impact factor: 4.562

6.  Dynamics and selection of many-strain pathogens.

Authors:  Julia R Gog; Bryan T Grenfell
Journal:  Proc Natl Acad Sci U S A       Date:  2002-12-12       Impact factor: 11.205

Review 7.  Role of viruses in human evolution.

Authors:  Linda M Van Blerkom
Journal:  Am J Phys Anthropol       Date:  2003       Impact factor: 2.868

8.  Imbroglios of viral taxonomy: genetic exchange and failings of phenetic approaches.

Authors:  Jeffrey G Lawrence; Graham F Hatfull; Roger W Hendrix
Journal:  J Bacteriol       Date:  2002-09       Impact factor: 3.490

9.  Effect of recombination on the accuracy of the likelihood method for detecting positive selection at amino acid sites.

Authors:  Maria Anisimova; Rasmus Nielsen; Ziheng Yang
Journal:  Genetics       Date:  2003-07       Impact factor: 4.562

10.  Detecting selection in noncoding regions of nucleotide sequences.

Authors:  Wendy S W Wong; Rasmus Nielsen
Journal:  Genetics       Date:  2004-06       Impact factor: 4.562

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