Accelerated viral dynamics in bat cell lines, with implications for zoonotic emergence

Cara E. Brook; Mike Boots; Kartik Chandran; Andrew P. Dobson; Christian Drosten; Andrea L. Graham; Bryan T. Grenfell; Marcel A. Müller; Melinda Ng; Lin-Fa Wang; Anieke van Leeuwen

The uninfected counts from the Hoechst stain data were much less numerous since each count required termination of the infection trial and fixation of cells; by definition, only one data point could be produced per trial. Due to this relative scarcity, we opted to fit a more standard linear regression model, again in the Gaussian family, to these data, rather than using the datahungry GAM methods employed above. As before, we set time elapsed post infection as the predictor for the Hoechst stain data and produced a unique estimate of the proportion of uninfected cells per hour across the duration of the longest-observed trial. No random effects were included in this model, and the resulting time series were used to estimate natural mortality rates for each cell line, when fit to control well data depicting natural susceptible decline ( Figure 1-figure supplement 7) .