Statistical analysis
Two-sided Student’s t-test with unequal variances was done in GraphPad Prism version 5.01 (GraphPad Software, San Diego, CA, USA). Other statistical analyses were done in R vers. 4.2.1, using the Brms package v. 2-18-0 for the Bayesian modelling (Bürkner, 2018). For joint multilevel modelling of mean colony radiuses and their standard deviation, the model employing Student’s t likelihood was, in brms model language, brm(bf(Radius~Strain*temp + (1|day) + (1|plate), sigma~Strain*temp + (1|day)+ (1|plate)), data=full, family = student(), prior= c(prior(normal(0, 5), class=b), prior(normal(0,2), class=”sd”), prior(normal(0,2), class=”b”, dpar=”sigma”))). For mixture modelling of mean colony radiuses, the model description is brm(Radius~Strain*temp + (1|day) + (1|plate), data=full, family = mixture(gaussian, gaussian)). The alamarBlue and corresponding OD600 measurements shown in Fig. 1 were modelled with splines using the blmss package version 1.1-8 (Umlauf et al. , 2021). The modelling was done separately for each strain and condition (Alamar signal and OD600 signal). The model description is bamlss(value ~ s(Time_min), family=”gaussian”). The growth curves in Fig. 8C were done using the LOESS smoother in the ggplot2 package v. 3.4.0 geom_smooth function (Wickham, 2016; Wickham et al. , 2019).