Asynchrony between virus diversity and antibody selection limits influenza virus evolution

  1. Dylan H Morris  Is a corresponding author
  2. Velislava N Petrova
  3. Fernando W Rossine
  4. Edyth Parker
  5. Bryan T Grenfell
  6. Richard A Neher
  7. Simon A Levin
  8. Colin A Russell  Is a corresponding author
  1. Department of Ecology & Evolutionary Biology, Princeton University, United States
  2. Department of Human Genetics, Wellcome Trust Sanger Institute, United Kingdom
  3. Department of Veterinary Medicine, University of Cambridge, United Kingdom
  4. Department of Medical Microbiology, Academic Medical Center, University of Amsterdam, Netherlands
  5. Fogarty International Center, National Institutes of Health, United States
  6. Biozentrum, University of Basel, Switzerland
17 figures, 6 tables and 1 additional file

Figures

Empirical within-host influenza virus variant frequencies and model within-host evolutionary dynamics.

(A, B) meta-analysis of A/H3N2 viruses from next-generation sequencing studies of naturally-infected individuals (Debbink et al., 2017; McCrone et al., 2018). (A) Fraction of infections with one or …

Example timecourses and distribution of outcomes when antibody immunity is active from the start of infection and sufficient to prevent detectable reinfection.

tM=0, k=20, yielding w(t=0)<1 for the old antigenic variant but m(t=0)>1 for the new antigenic variant, where i(t) is the within-host effective reproduction number for variant i at time t (see Materials and methods). …

Selection for antigenic variants at the point of transmission (inoculation selection).

(A) Schematic of bottlenecks faced by both old antigenic variant (blue) and new antigenic variant (other colors) virions at the point of virus transmission. Key parameters for inoculation selection …

Probability pnv of a new variant surviving the transmission bottleneck as a function of donor-host replication selection and recipient host inoculation selection.

Calculated according to Equation 43, and plotted as a function of degree of replication selection in the donor host δτ, the product of the selection strength δ and the time duration τ=max{0,tttM} between the …

Distribution of mutant effects given replication and inoculation selection.

Distribution of antigenic changes along 1000 simulated transmission chains (A–D) and from an analytical model (E–H). In (A,E) all naive hosts, in other panels a mix of naive hosts and experienced …

Population-level antigenic dynamics resulting from inoculation selection.

Analytical model results (see Materials and methods) for population-level inoculation selection, using parameters in Table 1 and fmt=9×105 unless otherwise stated. (A) Probability per inoculation of a new …

Variant within-host frequency as a function of time and initial variant frequency, according to derived replicator equation (Equations 13, 15).

(A, B) Variant frequency over time for an initially present new variant. (A) Selection strength δ varied, with initial frequency f0 equal to the mutation rate μ=0.33×105. (B) Initial frequency f0 varied, …

Comparison of analytically calculated cumulative distribution function (CDF) for time of first successful de novo mutation with simulations.

Black line shows analytically calculated CDF. Blue cumulative histogram shows distribution of new variant mutation times for 250,000 simulations from the stochastic within-host model with (A) an …

Comparison of analytically calculated probability of replication selection with stochastic simulations.

Probability of replication selection to one percent (left column) or consensus (right column) by t=3 days post-infection as a function of k and tM for 250,000 simulations from the stochastic …

Appendix 1—figure 1
Probability that a new variant is present after the cell infection (final) bottleneck as a function of cross immunity and degree of competition for the final bottleneck.

Probability shown as a function of probability of no old variant infection (zw), degree of cross immunity between mutant and new variant σ=κm/κw, mucus bottleneck size v, and final bottleneck size b. …

Appendix 1—figure 2
Distribution of mutant effects given replication and inoculation selection, with a transmission threshold model.

Threshold version of Figure 4. Distribution of antigenic changes along 1000 simulated transmission chains (A–D) and from an analytical model (E–H). In (A,E) all naive hosts, in other panels a mix of …

Appendix 1—figure 3
Sensitivity analysis varying model parameters across biologically-reasonable parameter ranges.

(A, B) Probability of a detectable infection per inoculation of an experienced host. (C, D) Probability of a detectable new variant infections per inoculation of an experienced host. (E, F) Fraction …

Appendix 1—figure 4
Sensitivity analysis: parameter values versus rate of new variant infections per 100 detectable infections of an experienced host, given an unrealistically early recall response.

Parameters randomly varied across the ranges given in Table 2, with tM varied between 0 and 1. Each point represents a parameter set; the rate of new variant infections per hundred 100 detectable …

Appendix 1—figure 5
Sensitivity analysis: parameter values versus rate of new variant infections per 100 detectable infections of an experienced host given a realistic (48 hours or more post-infection) recall response.

Parameters randomly varied across the ranges given in Table 2, with tM varied between 2 and 4.5. Each point represents a parameter set; the rate of new variant infections per hundred 100 detectable …

Appendix 1—figure 6
Phylogeny of A/H1N1 seasonal viruses for the period 1999 to 2008.

Branch tip color indicates the amino acid identity at position 140. Co-circulating lineages defined by the K140E fixation are highlighted. Scale bar indicates the number of nucleotide substitutions …

Appendix 1—figure 7
Phylogeny of A/H3N2 seasonal viruses for the period 2008 to 2011.

Branch tip color indicates the amino acid identity at position 158 and 189. Co-circulating lineages defined by the K158N/N189K fixation are highlighted. Scale bar indicates the number of nucleotide …

Appendix 1—figure 8
Phylogeny of A/H3N2 seasonal viruses for the period 2012 to 2014.

Branch tip color indicates the amino acid identity at position 159. Co-circulating lineages defined by the F159X fixation are highlighted. Scale bar indicates the number of nucleotide substitutions …

Tables

Table 1
Model parameters, default values, and sources/justifications.
ParameterMeaningUnitsValueSource or justification
tMtime post-infection of antibody response in experienced hostsdays2literature (see review in Appendix Section A2)
tNwtime post-infection of a novel immune response to the old antigenic variantdays6literature (see review in Appendix Section A2)
pCper-capita growth rate of target cells at low density1days0ignored on the timescale of a single infection
Cmaxmaximum number of target cellscells4 × 108standard in the modeling literature (Baccam et al., 2006; Luo et al., 2012; Hadjichrysanthou et al., 2016)
0within-host basic reproduction number for the virusunitless5empirical fits of target cell models (Hadjichrysanthou et al., 2016)
rwaverage number of infectious virions produced by a cell infected with old antigenic variant virusvirions100literature (Frensing et al., 2016)
rmaverage number of infectious virions produced by a cell infected with new antigenic variant virusvirions100no within-host deleteriousness for new antigenic variants
μwmprobability of mutation from old variant to new variantunitless0.33 × 10–5literature (Nobusawa and Sato, 2006)
μmwprobability of mutation from new variant to old variantunitless0back-mutation neglected
βrate of infectious contact between virions and target cells per cell per virion1virions cells dayscalculatedfrom 0
number of target cells lost per infectious contactcells1one cell lost per cell infection
dvexponential decay rate of infectious virions1days4empirical fits of target cell models (Hadjichrysanthou et al., 2016) and modeling literature (Baccam et al., 2006Luo et al., 2012)
kadditional per-virion neutralization rate in the presence of a well-matched antibody response1days6varied to test hypotheses
cwfractional cross reactivity during viral replication between host antibodies and the old antigenic variantunitless0 or 1naive or homotypically reinfected hosts
cmfractional cross reactivity during viral replication between host antibodies and the new antigenic variantunitless0full escape variant
κwprobability that an individual old antigenic variant virion inoculated into an experienced host is neutralized in the respiratory tract mucosaunitlessset from zwcalculated from Equation 38
κmprobability that an individual new antigenic variant virion inoculated into an experienced host is neutralized in the respiratory tract mucosaunitlessσκwreduced relative to κw by immune escape
σfractional cross immunity at the sIgA bottleneck between old antigenic variant and new antigenic variantunitless0full escape variant
vnumber of virions encountering sIgAvirions10 × b
bsize of final/cell infection bottleneckvirions1NGS studies (McCrone et al., 2018; Xue and Bloom, 2019)
V50viral load at which there is a fifty percent transmission probabilityvirions108chosen to give realistic transmission window (Tsang et al., 2015) and based on prior modeling studies (Russell et al., 2012)
θtransmission threshold for threshold modelvirions107chosen to be consistent with V50
Table 2
Sensitivity analysis parameter ranges shared between models.
ParameterMinimum valueMaximum value
tN69
Cmax108109
0515
r10500
μwm0.33 × 10−60.33 × 10−4
dv28
k316
cm0.51
zw0.700.99
zm/zw0.50.9
V50107109
v/b150
Appendix 1—table 1
Dataset composition.
A/H1N1 1999–2008A/H3N2 2008–2011A/H3N2 2012–2014
Pre-filterFinal datasetPre-filterFinal datasetPre-filterFinal dataset
48823514705057381197010107
Appendix 1—table 2
Substitutions that characterize the co-circulating K140E-defined lineages.
LineageGeographic composition in first year of co-circulationTrunk substitutions from MRCA to K140E fixationTrunk substitutions post- K140E fixation
1South AsiaY94H, R188K, E273KD35N, K145R*, A189T, G185V, N183S, G185S
2East AsiaY94H, S36N, A189T, R188M, T193K*N244S, K82R*, I47K, E68G
3South-East AsiaY94H, K73R, V128A*, A128T*P270S
Appendix 1—table 3
Substitutions that characterize the co-circulating genetic / antigenic clades defined by K158N and N189K.
LineageTrunk substitutions from MRCA to K158N/N189K fixationTrunk substitutions post- K158N/N189K fixation
1 (Victoria / 2009-like)T212A, S45N, T48A, K92R, Q57H, A198S, V223I, N312S, N278K,Q33R, N145S, G5E, E62V, D53N, E280A, I230V, Y94H, I192T, S199A
2 (Perth / 2009-like)E62KN144K, R261Q, I260M, P162S, E50K, V213A, N133D, T212A, R142G
Appendix 1—table 4
Substitutions that characterize the co-circulating genetic / antigenic clades defined by F159Y and F159S.
LineageTrunk substitutions from MRCA to F159X fixationTrunk substitutions post- F159X fixation
F159Y (lineage 1, Clade 3C.2a)L3I, N225D, Q311H, N144S, K160TR142K, R261L
F159S (lineage 2, Clade 3C.3a)R142G, T128A, A138S, N225D

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