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The role of epistasis in protein evolution

Abstract

Arising from M. S. Breen, C. Kemena, P. K. Vlasov, C. Notredame & F. A. Kondrashov Nature 490, 535–538 (2012)10.1038/nature11510

An important question in molecular evolution is whether an amino acid that occurs at a given site makes an independent contribution to fitness, or whether its contribution depends on the state of other sites in the organism’s genome, a phenomenon known as epistasis1,2,3,4,5. Breen and colleagues recently argued6 that epistasis must be “pervasive throughout protein evolution” because the observed ratio between the per-site rates of non-synonymous and synonymous substitutions (dN/dS)7 is much lower than would be expected in the absence of epistasis. However, when calculating the expected dN/dS ratio in the absence of epistasis, Breen et al.6 assumed that all amino acids observed at a given position in a protein alignment have equal fitness. Here, we relax this unrealistic assumption and show that any dN/dS value can in principle be achieved at a site, without epistasis; furthermore, for all nuclear and chloroplast genes in the Breen et al. data set, we show that the observed dN/dS values and the observed patterns of amino-acid diversity at each site are jointly consistent with a non-epistatic model of protein evolution.

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Figure 1: Non-epistatic models of protein evolution can produce low dN/dS values.

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References

  1. Kondrashov, A. S., Sunyaev, S. & Kondrashov, F. A. Dobzhansky-Muller incompatibilities in protein evolution. Proc. Natl Acad. Sci. USA 99, 14878–14883 (2002)

    Article  ADS  CAS  Google Scholar 

  2. DePristo, M. A., Weinreich, D. M. & Hartl, D. L. Missense meanderings in sequence space: a biophysical view of protein evolution. Nature Rev. Genet. 6, 678–687 (2005)

    Article  CAS  Google Scholar 

  3. Kryazhimskiy, S., Dushoff, J., Brazykin, G. A. & Plotkin, J. B. Prevalence of epistasis in the evolution of influenza A surface proteins. PLoS Genet. 7, e1001301 (2011)

    Article  CAS  Google Scholar 

  4. Salverda, M. L. M. et al. Initial mutations direct alternative pathways of protein evolution. PLoS Genet. 7, e1001321 (2011)

    Article  CAS  Google Scholar 

  5. Hansen, T. F. & Wagner, G. P. Modeling genetic architecture: a multilinear theory of gene interaction. Theor. Popul. Biol. 59, 61–86 (2001)

    Article  CAS  Google Scholar 

  6. Breen, M. S., Kemena, C., Vlasov, P. K., Notredame, C. & Kondrashov, F. A. Epistasis as the primary factor in molecular evolution. Nature 490, 535–538 (2012)

    Article  ADS  CAS  Google Scholar 

  7. Li, W. H. Molecular Evolution (Sinauer, 1997)

    Google Scholar 

  8. da Silva, J. Site-specific amino acid frequency, fitness and the mutational landscape model of adaptation in HIV-1. Genetics 174, 1689–1694 (2006)

    Article  CAS  Google Scholar 

  9. Fowler, D. M. et al. High-resolution mapping of protein sequence-function relationships. Nature Methods 7, 741–746 (2010)

    Article  CAS  Google Scholar 

  10. Yang, Z. & Nielsen, R. Synonymous and nonsynonymous rate variation in nuclear genes of mammals. J. Mol. Evol. 46, 409–418 (1998)

    Article  ADS  CAS  Google Scholar 

  11. Choi, S. C., Redelings, B. D. & Thorne, J. L. Basing population genetic inferences and models of molecular evolution upon desired stationary distributions of DNA or protein sequences. Phil. Trans. R. Soc. B 363, 3931–3939 (2008)

    Article  CAS  Google Scholar 

  12. Rodrigue, N., Phillippe, H. & Lartillot, N. Mutation-selection models of coding sequence evolution with site-heterogeneous amino acid fitness profiles. Proc. Natl Acad. Sci. USA 107, 4629–4634 (2010)

    Article  ADS  CAS  Google Scholar 

  13. Tamuri, A. U., dos Reis, M. & Goldstein, R. A. Estimating the distribution of selection coefficients from phylogenetic data using sitewise mutation-selection models. Genetics 190, 1101–1115 (2012)

    Article  Google Scholar 

  14. Yang, Z. PAML 4: a program package for phylogenetic analysis by maximum likelihood. Mol. Biol. Evol. 24, 1586–1591 (2007)

    Article  CAS  Google Scholar 

  15. Halpern, A. L. & Bruno, W. J. Evolutionary distances for protein-coding sequences: modeling site-specific residue frequencies. Mol. Biol. Evol. 15, 910–917 (1998)

    Article  CAS  Google Scholar 

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Correspondence to Joshua B. Plotkin.

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McCandlish, D., Rajon, E., Shah, P. et al. The role of epistasis in protein evolution. Nature 497, E1–E2 (2013). https://doi.org/10.1038/nature12219

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