TY - JOUR
T1 - Allele-specific nonstationarity in evolution of influenza A virus surface proteins
AU - Popova, Anfisa V.
AU - Safina, Ksenia R.
AU - Ptushenko, Vasily V.
AU - Stolyarova, Anastasia V.
AU - Favorov, Alexander V.
AU - Neverov, Alexey D.
AU - Bazykin, Georgii A.
N1 - Funding Information:
ACKNOWLEDGMENTS. This project was supported by Russian Science Foundation Grant 14-50-00150. A.V.F. was supported by National Cancer Institute Grant P30 CA006973 and an Russian Foundation for Basic Research Grant for Research Project 17-00-00208. We acknowledge the authors and the originating and submitting laboratories of the sequences from GISAID’s EpiFlu Database (44) on which this research is based. The list is detailed in Dataset S7. We thank Bo Henry Lindquist for highly illuminating lectures on lifetime analysis.
Publisher Copyright:
© 2019 National Academy of Sciences. All rights reserved.
PY - 2019/10/15
Y1 - 2019/10/15
N2 - Influenza A virus (IAV) is a major public health problem and a pandemic threat. Its evolution is largely driven by diversifying positive selection so that relative fitness of different amino acid variants changes with time due to changes in herd immunity or genomic context, and novel amino acid variants attain fitness advantage. Here, we hypothesize that diversifying selection also has another manifestation: the fitness associated with a particular amino acid variant should decline with time since its origin, as the herd immunity adapts to it. By tracing the evolution of antigenic sites at IAV surface proteins, we show that an amino acid variant becomes progressively more likely to become replaced by another variant with time since its origin—a phenomenon we call “senescence.” Senescence is particularly pronounced at experimentally validated antigenic sites, implying that it is largely driven by host immunity. By contrast, at internal sites, existing variants become more favorable with time, probably due to arising contingent mutations at other epistatically interacting sites. Our findings reveal a previously unde-scribed facet of adaptive evolution and suggest approaches for prediction of evolutionary dynamics of pathogens.
AB - Influenza A virus (IAV) is a major public health problem and a pandemic threat. Its evolution is largely driven by diversifying positive selection so that relative fitness of different amino acid variants changes with time due to changes in herd immunity or genomic context, and novel amino acid variants attain fitness advantage. Here, we hypothesize that diversifying selection also has another manifestation: the fitness associated with a particular amino acid variant should decline with time since its origin, as the herd immunity adapts to it. By tracing the evolution of antigenic sites at IAV surface proteins, we show that an amino acid variant becomes progressively more likely to become replaced by another variant with time since its origin—a phenomenon we call “senescence.” Senescence is particularly pronounced at experimentally validated antigenic sites, implying that it is largely driven by host immunity. By contrast, at internal sites, existing variants become more favorable with time, probably due to arising contingent mutations at other epistatically interacting sites. Our findings reveal a previously unde-scribed facet of adaptive evolution and suggest approaches for prediction of evolutionary dynamics of pathogens.
KW - Influenza
KW - Nonstationary evolution
KW - Selection
UR - http://www.scopus.com/inward/record.url?scp=85073315200&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85073315200&partnerID=8YFLogxK
U2 - 10.1073/pnas.1904246116
DO - 10.1073/pnas.1904246116
M3 - Article
C2 - 31578251
AN - SCOPUS:85073315200
SN - 0027-8424
VL - 116
SP - 21104
EP - 21112
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
IS - 42
ER -