Key result
Dynamical modeling of (+)RNA virus growth showed that increasing cytoplasmic RNA degradation and delaying vesicular compartment formation synergistically reduces the probability of cellular infection.
Why the study?
Although life cycle processes of positive-strand (+)RNA viruses are broadly conserved, different viruses use distinct strategies to grow in the cell, leaving determinants and dependencies unclear.
A generalized dynamical model of (+)RNA virus life cycles identifies vesicular compartment formation and cytoplasmic RNA degradation as synergistic bottlenecks that could be targeted for broad-spectrum antiviral therapies.
May guide virus-specific antiviral design; leaves open clinical translation pending validation.
Life cycle processes of positive-strand (+)RNA viruses are broadly conserved across families, yet they employ different strategies to grow in the cell. Using a generalized dynamical model for intracellular (+)RNA virus growth, we decipher these life cycle determinants and their dependencies for several viruses and parse the effects of viral mutations, drugs and host cell permissivity. We show that poliovirus employs rapid replication and virus assembly, whereas the Japanese encephalitis virus leverages its higher rate of translation and efficient cellular reorganization compared to the hepatitis C virus. Stochastic simulations demonstrate infection extinction if all seeding (inoculating) viral RNA degrade before establishing robust replication critical for infection. The probability of this productive cellular infection, 'cellular infectivity', is affected by virus-host processes and defined by early life cycle events and viral seeding. An increase in cytoplasmic RNA degradation and delay in vesicular compartment formation reduces infectivity, more so when combined. Synergy among these parameters in limiting (+)RNA virus infection as predicted by our model suggests new avenues for inhibiting infections by targeting the early life cycle bottlenecks.
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Chhajer et al. (2021) studied positive-strand (+)RNA virus infection. Dynamical modeling of intracellular (+)RNA virus growth was evaluated on Probability of productive cellular infection (cellular infectivity). Dynamical modeling of (+)RNA virus growth showed that increasing cytoplasmic RNA degradation and delaying vesicular compartment formation synergistically reduces the probability of cellular infection.
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