Table 1.

Infection models for dose-foci relationship. Model fitting and selection results are given for the dose-foci relationship (Figure 2c) of TEV-eGFP and TEV-Ros1. Data indicates whether the full data set was used (all doses), or only the partial data set was used (low doses), which comprises only the lowest three doses. Model indicates whether the independent action hypothesis (IAH) or dependent action (DA) model was fitted. Estimated model parameters are the probability of infection per virion (ρ) and, for the DA model, a constant that determines the strength of dose-dependent effects on ρ (κ). For a detailed description of the models see Section 3.4. NLL is negative likelihood, a measure of model fit. AIC is Akaike Information Criterion, ΔAIC is the difference in AIC between the best-fitting model and other models, and AW is the Akaike Weight, the probability that the data provide most support to the model in question. For the full data sets of both viruses, the DA model is better supported than the IAH model. For the low-dose data, the IAH model is better supported for the TEV-eGFP data, indicating a linear response. On the other hand, for TEV-Ros1, the DA model is better supported even when only these data are considered.

Virus	Data	Model	Parameter estimates	NLL	AIC	ΔAIC	AW
TEV-eGFP	All doses	IAH	ρ = 2.63 × 10−6	302.719	607.438	299.944	0
		DA	ρ = 2.95 × 10−3 ; κ = 0.60	151.747	397.494	-	1
	Low doses	IAH	ρ = 6.46 × 10−6	61.456	124.912	-	0.601
		DA	ρ = 1.86 × 10−6 ; κ = 1.08	60.865	125.730	0.818	0.399
TEV-Ros1	All doses	IAH	ρ = 1.02 × 10−6	139.048	280.097	129.090	0
		DA	ρ = 2.69 × 10−3; κ = 0.55	73.504	151.007	-	1
	Low doses	IAH	ρ = 2.29 × 10−6	39.012	80.024	10.508	0.005
		DA	ρ = 1.32 × 10−3; κ = 0.59	32.758	69.516	-	0.995