Table 1.

Bayesian evaluation of temporal signal for each bunyaviral genome segment. The log marginal likelihood values were estimated using either path sampling or stepping-stone sampling methods. The log Bayes factor value is computed as the difference between the log marginal likelihood values estimated using sampling dates (heterochronous model) and omitting sampling dates (isochronous model).

	Clock prior: exponential distribution, mean = 1.0						Clock prior: constant coalescent using an exponential population size, mean = 10.0 and offset = 0.5
	Path sampling			Stepping-stone sampling			Path sampling			Stepping-stone sampling
	L	M	S	L	M	S	L	M	S	L	M	S
Log marginal likelihood, isochronous model	−97,168.63	−78,848.36	−11,725.34	−97,168.65	−78,848.44	−11,725.47	−97,388.53	−78,995.26	−11,713.03	−97,388.19	−78,994.78	−11,712.99
Log marginal likelihood, heterochronous model	−97,193.26	−78,877.52	−11,748.24	−97,193.35	−78,877.89	−11,748.48	−97,447.07	−79,047.00	−11,757.16	−97,446.28	−79,046.05	−11,756.95
Log Bayes factor	−24.63	−29.16	−22.90	−24.70	−29.45	−23.01	−58.54	−51.74	−44.13	−58.09	−51.27	−43.96
Temporal signal	No	No	No	No	No	No	No	No	No	No	No	No