Table 5. Results of linkage disequilibrium analysis based on allelic profile data from five genetic loci.

City/subpopulation	No.	Hd	ISA	PMC	VD	L	VD > L
Changchun	34	0.6913 ± 0.0326	0.3763	< 0.001	2.62	1.1664	Y
Daqing	22	0.5740 ± 0.0267	0.6389	< 0.001	4.2961	1.4005	Y
Harbin	29	0.2739 ± 0.0737	0.4417	< 0.001	2.4508	1.1817	Y
Qiqihar	16	0.4717 ± 0.1335	0.2733	< 0.001	1.8621	1.1226	Y
Total (4 cities)	101	0.7986 ± 0.0406	0.3768	< 0.001	1.9338	0.8009	Y
Total (4 cities)a	44	0.8408 ± 0.0334	0.1441	< 0.001	1.0197	0.7022	Y
SP1	66	0.8366 ± 0.0351	0.1191	< 0.001	0.9725	0.7001	Y
SP2	39	0.1976 ± 0.0577	0.3729	< 0.001	1.8093	0.9471	Y
SP3	35	0.6971 ± 0.0605	0.4709	< 0.001	2.8327	1.0886	Y
SP4	41	0.5276 ± 0.0748	0.4866	< 0.001	3.3424	1.3644	Y
SP5	26	0.5292 ± 0.1023	0.2535	< 0.001	3.3424	1.3644	Y
Total (5 subpopulations)	207	0.8988 ± 0.0180	0.4666	< 0.001	1.2845	0.4563	Y
Total (5 subpopulations)a	105	0.9178 ± 0.0193	0.1577	< 0.001	0.6030	0.3821	Y

Hd: mean genetic diversity; I^S_A: standardized index of association calculated using the program LIAN 3.5; P_MC: significance for obtaining this value in 1000 simulations using the Monte Carlo method; V_D: variance of pairwise differences; L: 95% critical value for V_D; V_D > L indicates linkage disequilibrium.

^a Considering isolates with the same MLG as one individual.