Experimentally guided models reveal replication principles that shape the mutation distribution of RNA viruses

19Citations
Citations of this article
58Readers
Mendeley users who have this article in their library.

Abstract

Life history theory posits that the sequence and timing of events in an organism's lifespan are fine-tuned by evolution to maximize the production of viable offspring. In a virus, a life history strategy is largely manifested in its replication mode. Here, we develop a stochastic mathematical model to infer the replication mode shaping the structure and mutation distribution of a poliovirus population in an intact single infected cell. We measure production of RNA and poliovirus particles through the infection cycle, and use these data to infer the parameters of our model. We find that on average the viral progeny produced from each cell are approximately five generations removed from the infecting virus. Multiple generations within a single cell infection provide opportunities for significant accumulation of mutations per viral genome and for intracellular selection.

Cite

CITATION STYLE

APA

Schulte, M. B., Draghi, J. A., Plotkin, J. B., & Andino, R. (2015). Experimentally guided models reveal replication principles that shape the mutation distribution of RNA viruses. ELife, 4. https://doi.org/10.7554/eLife.03753

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free