(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 …
, , yielding for the old antigenic variant but for the new antigenic variant, where is the within-host effective reproduction number for variant i at time t (see Materials and methods). …
(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 …
Calculated according to Equation 43, and plotted as a function of degree of replication selection in the donor host , the product of the selection strength and the time duration between the …
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 …
Analytical model results (see Materials and methods) for population-level inoculation selection, using parameters in Table 1 and unless otherwise stated. (A) Probability per inoculation of a new …
(A, B) Variant frequency over time for an initially present new variant. (A) Selection strength varied, with initial frequency f0 equal to the mutation rate . (B) Initial frequency f0 varied, …
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 …
Probability of replication selection to one percent (left column) or consensus (right column) by days post-infection as a function of k and for 250,000 simulations from the stochastic …
Probability shown as a function of probability of no old variant infection (zw), degree of cross immunity between mutant and new variant , mucus bottleneck size v, and final bottleneck size b. …
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 …
(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 …
Parameters randomly varied across the ranges given in Table 2, with varied between 0 and 1. Each point represents a parameter set; the rate of new variant infections per hundred 100 detectable …
Parameters randomly varied across the ranges given in Table 2, with varied between 2 and 4.5. Each point represents a parameter set; the rate of new variant infections per hundred 100 detectable …
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 …
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 …
Parameter | Meaning | Units | Value | Source or justification |
---|---|---|---|---|
time post-infection of antibody response in experienced hosts | days | 2 | literature (see review in Appendix Section A2) | |
time post-infection of a novel immune response to the old antigenic variant | days | 6 | literature (see review in Appendix Section A2) | |
per-capita growth rate of target cells at low density | 0 | ignored on the timescale of a single infection | ||
maximum number of target cells | cells | 4 × 108 | standard in the modeling literature (Baccam et al., 2006; Luo et al., 2012; Hadjichrysanthou et al., 2016) | |
within-host basic reproduction number for the virus | unitless | 5 | empirical fits of target cell models (Hadjichrysanthou et al., 2016) | |
average number of infectious virions produced by a cell infected with old antigenic variant virus | virions | 100 | literature (Frensing et al., 2016) | |
average number of infectious virions produced by a cell infected with new antigenic variant virus | virions | 100 | no within-host deleteriousness for new antigenic variants | |
probability of mutation from old variant to new variant | unitless | 0.33 × 10–5 | literature (Nobusawa and Sato, 2006) | |
probability of mutation from new variant to old variant | unitless | 0 | back-mutation neglected | |
rate of infectious contact between virions and target cells per cell per virion | calculated | from | ||
number of target cells lost per infectious contact | cells | 1 | one cell lost per cell infection | |
exponential decay rate of infectious virions | 4 | empirical fits of target cell models (Hadjichrysanthou et al., 2016) and modeling literature (Baccam et al., 2006Luo et al., 2012) | ||
additional per-virion neutralization rate in the presence of a well-matched antibody response | 6 | varied to test hypotheses | ||
fractional cross reactivity during viral replication between host antibodies and the old antigenic variant | unitless | 0 or 1 | naive or homotypically reinfected hosts | |
fractional cross reactivity during viral replication between host antibodies and the new antigenic variant | unitless | 0 | full escape variant | |
probability that an individual old antigenic variant virion inoculated into an experienced host is neutralized in the respiratory tract mucosa | unitless | set from | calculated from Equation 38 | |
probability that an individual new antigenic variant virion inoculated into an experienced host is neutralized in the respiratory tract mucosa | unitless | reduced relative to by immune escape | ||
fractional cross immunity at the sIgA bottleneck between old antigenic variant and new antigenic variant | unitless | 0 | full escape variant | |
number of virions encountering sIgA | virions | 10 × b | ||
size of final/cell infection bottleneck | virions | 1 | NGS studies (McCrone et al., 2018; Xue and Bloom, 2019) | |
viral load at which there is a fifty percent transmission probability | virions | 108 | chosen to give realistic transmission window (Tsang et al., 2015) and based on prior modeling studies (Russell et al., 2012) | |
transmission threshold for threshold model | virions | 107 | chosen to be consistent with |
Parameter | Minimum value | Maximum value |
---|---|---|
6 | 9 | |
108 | 109 | |
5 | 15 | |
r | 10 | 500 |
0.33 × 10−6 | 0.33 × 10−4 | |
dv | 2 | 8 |
k | 3 | 16 |
cm | 0.5 | 1 |
zw | 0.70 | 0.99 |
0.5 | 0.9 | |
107 | 109 | |
1 | 50 |
A/H1N1 1999–2008 | A/H3N2 2008–2011 | A/H3N2 2012–2014 | |||
---|---|---|---|---|---|
Pre-filter | Final dataset | Pre-filter | Final dataset | Pre-filter | Final dataset |
4882 | 3514 | 7050 | 5738 | 11970 | 10107 |
Lineage | Geographic composition in first year of co-circulation | Trunk substitutions from MRCA to K140E fixation | Trunk substitutions post- K140E fixation |
---|---|---|---|
1 | South Asia | Y94H, R188K, E273K | D35N, K145R*, A189T, G185V, N183S, G185S |
2 | East Asia | Y94H, S36N, A189T, R188M, T193K* | N244S, K82R*, I47K, E68G |
3 | South-East Asia | Y94H, K73R, V128A*, A128T* | P270S |
Lineage | Trunk substitutions from MRCA to K158N/N189K fixation | Trunk 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) | E62K | N144K, R261Q, I260M, P162S, E50K, V213A, N133D, T212A, R142G |
Lineage | Trunk substitutions from MRCA to F159X fixation | Trunk substitutions post- F159X fixation |
---|---|---|
F159Y (lineage 1, Clade 3C.2a) | L3I, N225D, Q311H, N144S, K160T | R142K, R261L |
F159S (lineage 2, Clade 3C.3a) | R142G, T128A, A138S, N225D |