title: Population genetic processes affecting the mode of selective sweeps and effective population size in influenza virus H3N2.
abstract: Human influenza virus A/H3N2 undergoes rapid adaptive evolution in response to host immunity. Positively selected amino acid substitutions have been detected mainly in the hemagglutinin (HA) segment. The genealogical tree of HA sequences sampled over several decades comprises a long trunk and short side branches, which indicates small effective population size. Various studies have reproduced this unique genealogical structure by modeling recurrent positive selection. However, it has not been clearly demonstrated whether recurrent selective sweeps alone can explain the limited level of genetic diversity observed in the HA of H3N2. In addition, the variation-reducing impacts of other evolutionary processes - background selection and complex demography - relative to that of positive selection have never been explicitly evaluated.
  
  
  
  In this paper, using computer simulation of a viral population evolving under recurrent selective sweeps we demonstrate that positive selection alone, if it occurs at a rate estimated by previous studies, cannot lead to such a small effective population size. Genetic hitchhiking fails to completely wipe out pre-existing variation because soft, rather than hard, selective sweeps prevail under realistic parameters of mutation rate and population size. We find that antigenic-cluster-transition substitutions in HA occur as hard sweeps. This indicates that the effective population size under which those mutations arise must be much smaller than the actual population size due to other evolutionary forces before selective sweeps further reduce it. We thus examine the effects of background selection and metapopulation dynamics in reducing the effective population size, using parameter values that reproduce other aspects of molecular evolution in H3N2. When either process is incorporated in recurrent selective sweep simulation, selective sweeps are mostly hard and the observed level of synonymous diversity is obtained with large census population size.
  
  
  
  Background selection and metapopulation dynamics have greater variation reducing power than recurrent positive selection under realistic parameters in H3N2. Therefore, these evolutionary processes are likely to play crucial roles in reducing the effective population size of H3N2 viruses and thus explaining the characteristic shape of H3N2 genealogy.
authors.affiliation: Interdisciplinary Program of EcoCreative, Ewha Womans University, Ewhayeodae-gil 52, Seodaemun-gu, Seoul, 120-750, South Korea.
authors.forename: Kangchon
authors.initials: K
authors.lastname: Kim
authors.affiliation: Interdisciplinary Program of EcoCreative, Ewha Womans University, Ewhayeodae-gil 52, Seodaemun-gu, Seoul, 120-750, South Korea. yuseob@ewha.ac.kr.|Department of Life Sciences, Ewha Womans University, Ewhayeodae-gil 52, Seodaemun-gu, Seoul, 120-750, South Korea. yuseob@ewha.ac.kr.
authors.forename: Yuseob
authors.identifier: 0000-0002-7975-6147
authors.initials: Y
authors.lastname: Kim
mesh_terms: D019943:Amino Acid Substitution; D003198:Computer Simulation; D019143:Evolution, Molecular; D014644:Genetic Variation; D005828:Genetics, Population; D006801:Humans; D053122:Influenza A Virus, H3N2 Subtype / Q000235:genetics*; D009980:Influenza A virus / Q000235:genetics; D007251:Influenza, Human / Q000821:virology; D059645:Mutation Rate; D012641:Selection, Genetic
keywords: Background selection; Influenza virus; Metapopulation; Positive selection; Soft sweep