Accounting for cellular-level variation in lysis: implications for virus-host dynamics.

ABSTRACT: Viral impacts on microbial populations depend on interaction phenotypes-including viral traits spanning the adsorption rate, latent period, and burst size. The latent period is a key viral trait in lytic infections. Defined as the time from viral adsorption to viral progeny release, the latent period of bacteriophage is conventionally inferred via one-step growth curves in which the accumulation of free virus is measured over time in a population of infected cells. Developed more than 80 years ago, one-step growth curves do not account for cellular-level variability in the timing of lysis, potentially biasing inference of viral traits. Here, we use nonlinear dynamical models to understand how individual-level variation of the latent period impacts virus-host dynamics. Our modeling approach

SUBMITTER: Dominguez-Mirazo M 

PROVIDER: S-EPMC11323501 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature