tetano
Editor, Senior Moderator
Elife
. 2024 Dec 27:13:RP97350.
doi: 10.7554/eLife.97350. Eco-evolutionary dynamics of adapting pathogens and host immunity
Pierre Barrat-Charlaix[SUP] 1 2 3 [/SUP], Richard A Neher[SUP] 1 2 [/SUP]
Affiliations
As pathogens spread in a population of hosts, immunity is built up, and the pool of susceptible individuals are depleted. This generates selective pressure, to which many human RNA viruses, such as influenza virus or SARS-CoV-2, respond with rapid antigenic evolution and frequent emergence of immune evasive variants. However, the host's immune systems adapt, and older immune responses wane, such that escape variants only enjoy a growth advantage for a limited time. If variant growth dynamics and reshaping of host-immunity operate on comparable time scales, viral adaptation is determined by eco-evolutionary interactions that are not captured by models of rapid evolution in a fixed environment. Here, we use a Susceptible/Infected model to describe the interaction between an evolving viral population in a dynamic but immunologically diverse host population. We show that depending on strain cross-immunity, heterogeneity of the host population, and durability of immune responses, escape variants initially grow exponentially, but lose their growth advantage before reaching high frequencies. Their subsequent dynamics follows an anomalous random walk determined by future escape variants and results in variant trajectories that are unpredictable. This model can explain the apparent contradiction between the clearly adaptive nature of antigenic evolution and the quasi-neutral dynamics of high-frequency variants observed for influenza viruses.
Keywords: computational biology; coronavirus; cross-immunity; evolutionary biology; evolutionary prediction; influenza virus; systems biology; viruses.
. 2024 Dec 27:13:RP97350.
doi: 10.7554/eLife.97350. Eco-evolutionary dynamics of adapting pathogens and host immunity
Pierre Barrat-Charlaix[SUP] 1 2 3 [/SUP], Richard A Neher[SUP] 1 2 [/SUP]
Affiliations
- PMID: 39728926
- DOI: 10.7554/eLife.97350
As pathogens spread in a population of hosts, immunity is built up, and the pool of susceptible individuals are depleted. This generates selective pressure, to which many human RNA viruses, such as influenza virus or SARS-CoV-2, respond with rapid antigenic evolution and frequent emergence of immune evasive variants. However, the host's immune systems adapt, and older immune responses wane, such that escape variants only enjoy a growth advantage for a limited time. If variant growth dynamics and reshaping of host-immunity operate on comparable time scales, viral adaptation is determined by eco-evolutionary interactions that are not captured by models of rapid evolution in a fixed environment. Here, we use a Susceptible/Infected model to describe the interaction between an evolving viral population in a dynamic but immunologically diverse host population. We show that depending on strain cross-immunity, heterogeneity of the host population, and durability of immune responses, escape variants initially grow exponentially, but lose their growth advantage before reaching high frequencies. Their subsequent dynamics follows an anomalous random walk determined by future escape variants and results in variant trajectories that are unpredictable. This model can explain the apparent contradiction between the clearly adaptive nature of antigenic evolution and the quasi-neutral dynamics of high-frequency variants observed for influenza viruses.
Keywords: computational biology; coronavirus; cross-immunity; evolutionary biology; evolutionary prediction; influenza virus; systems biology; viruses.