Epistatically interacting substitutions are enriched during adaptive protein evolution
- PMID: 24811236
- PMCID: PMC4014419
- DOI: 10.1371/journal.pgen.1004328
Epistatically interacting substitutions are enriched during adaptive protein evolution
Abstract
Most experimental studies of epistasis in evolution have focused on adaptive changes-but adaptation accounts for only a portion of total evolutionary change. Are the patterns of epistasis during adaptation representative of evolution more broadly? We address this question by examining a pair of protein homologs, of which only one is subject to a well-defined pressure for adaptive change. Specifically, we compare the nucleoproteins from human and swine influenza. Human influenza is under continual selection to evade recognition by acquired immune memory, while swine influenza experiences less such selection due to the fact that pigs are less likely to be infected with influenza repeatedly in a lifetime. Mutations in some types of immune epitopes are therefore much more strongly adaptive to human than swine influenza--here we focus on epitopes targeted by human cytotoxic T lymphocytes. The nucleoproteins of human and swine influenza possess nearly identical numbers of such epitopes. However, mutations in these epitopes are fixed significantly more frequently in human than in swine influenza, presumably because these epitope mutations are adaptive only to human influenza. Experimentally, we find that epistatically constrained mutations are fixed only in the adaptively evolving human influenza lineage, where they occur at sites that are enriched in epitopes. Overall, our results demonstrate that epistatically interacting substitutions are enriched during adaptation, suggesting that the prevalence of epistasis is dependent on the underlying evolutionary forces at play.
Conflict of interest statement
The authors have declared that no competing interests exist.
Figures
Similar articles
-
Positive Selection in CD8+ T-Cell Epitopes of Influenza Virus Nucleoprotein Revealed by a Comparative Analysis of Human and Swine Viral Lineages.J Virol. 2015 Nov;89(22):11275-83. doi: 10.1128/JVI.01571-15. Epub 2015 Aug 26. J Virol. 2015. PMID: 26311880 Free PMC article.
-
Evolutionary dynamics of influenza A nucleoprotein (NP) lineages revealed by large-scale sequence analyses.Infect Genet Evol. 2011 Dec;11(8):2125-32. doi: 10.1016/j.meegid.2011.07.002. Epub 2011 Jul 7. Infect Genet Evol. 2011. PMID: 21763464 Free PMC article.
-
Diversifying Selection Analysis Predicts Antigenic Evolution of 2009 Pandemic H1N1 Influenza A Virus in Humans.J Virol. 2015 May;89(10):5427-40. doi: 10.1128/JVI.03636-14. Epub 2015 Mar 4. J Virol. 2015. PMID: 25741011 Free PMC article.
-
[Swine influenza virus: evolution mechanism and epidemic characterization--a review].Wei Sheng Wu Xue Bao. 2009 Sep;49(9):1138-45. Wei Sheng Wu Xue Bao. 2009. PMID: 20030049 Review. Chinese.
-
Return of inactivated whole-virus vaccine for superior efficacy.Immunol Cell Biol. 2012 Jul;90(6):571-8. doi: 10.1038/icb.2011.70. Epub 2011 Aug 16. Immunol Cell Biol. 2012. PMID: 21844883 Review.
Cited by
-
Assessing cell-specific effects of genetic variations using tRNA microarrays.BMC Genomics. 2019 Jul 16;20(Suppl 8):549. doi: 10.1186/s12864-019-5864-1. BMC Genomics. 2019. PMID: 31307398 Free PMC article.
-
Coupling high-throughput genetics with phylogenetic information reveals an epistatic interaction on the influenza A virus M segment.BMC Genomics. 2016 Jan 12;17:46. doi: 10.1186/s12864-015-2358-7. BMC Genomics. 2016. PMID: 26754751 Free PMC article.
-
Pairwise and higher-order genetic interactions during the evolution of a tRNA.Nature. 2018 Jun;558(7708):117-121. doi: 10.1038/s41586-018-0170-7. Epub 2018 May 30. Nature. 2018. PMID: 29849145 Free PMC article.
-
Recombinant inbred line panels inform the genetic architecture and interactions of adaptive traits in Drosophila melanogaster.bioRxiv [Preprint]. 2024 May 17:2024.05.14.594228. doi: 10.1101/2024.05.14.594228. bioRxiv. 2024. PMID: 38798433 Free PMC article. Preprint.
-
Detecting Adaptation in Protein-Coding Genes Using a Bayesian Site-Heterogeneous Mutation-Selection Codon Substitution Model.Mol Biol Evol. 2017 Jan;34(1):204-214. doi: 10.1093/molbev/msw220. Epub 2016 Oct 15. Mol Biol Evol. 2017. PMID: 27744408 Free PMC article.
References
-
- Khan AI, Dinh DM, Schneider D, Lenski RE, Cooper TF (2011) Negative Epistasis Between Beneficial Mutations in an Evolving Bacterial Population. Science 332: 1193–1196. - PubMed
-
- Weinreich DM, Delaney NF, Depristo MA, Hartl DL (2006) Darwinian evolution can follow only very few mutational paths to fitter proteins. Science 312: 111–114. - PubMed
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
