Table 2.

SH test.

Tree
		hrpRS	hrpZ	hrpC	hrpU	hrpJ	hrpTOT b
Data(seq)	hrpRS logL	−8024.7	−8317.7	8258.7	−8263.5	−8300.4	−8259.1
	ΔlogL	BEST	−292.9	−234.0	−238.7	−275.7	−234.3
	P value a	-	0.000	0.000	0.000	0.000	0.000
	hrpZ logL	−20247.2	−18951.0	−18968.5	−18980.4	−18977.6	−18983.7
	ΔlogL	−1296.2	BEST	−17.5	−29.5	−26.7	−32.7
	P value a	0.000	-	0.539	0.382	0.408	0.371
	hrpC logL	−14691.8	−14011.4	−13904.6	−13935.3	−13926.7	−13917.5
	ΔlogL	−787.1	−106.8	BEST	−30.6	−22.0	−12.8
	P value a	0.000	0.053	-	0.383	0.476	0.654
	hrpU logL	−20969.1	−20475.6	−20327.7	−20314.6	−20324.7	−20328.3
	ΔlogL	−654.5	−161.0	−13.1	BEST	−10.1	−13.7
	P value a	0.000	0.005	0.644	-	0.681	0.637
	hrpJ logL	−26050.1	−25554.7	−25361.1	−25387.2	−25354.8	−25363.5
	ΔlogL	−695.3	−199.9	−6.3	−32.4	BEST	−8.7
	P value a	0.000	0.003	0.824	0.408	-	0.755
	hrpTOT b logL	−121132.6	−117951.1	−117292.9	−117348.7	−117362.0	−117158.7
	ΔlogL	−3973.9	−792.4	−134.2	−190.0	−203.3	BEST
	P value a	0.000	0.000	0.202	0.107	0.094	-

^aP-value identifies the probability that the data fits the tree. Bolded values indicate trees that fit the data significantly worse than the best tree given the data. Names of operons are not in italics to differentiate from gene names;

^bhrpTOT refers to the tree or the data obtained from the analysis of the entire TTSS cluster.