Table 1.

Genetic bottleneck using heterozygosity excess and M-ratio tests

Population ID	Population	Heterozygosity excess			M-ratio
		H e	Heq (SE)	p	M	Meq (SE)	p
1	Bardo Śląskie	0.739	0.788 (0.058)	1	0.605	0.766 (0.175)	< 0.0001*
2	Browsk	0.718	0.756 (0.062)	1	0.543	0.776 (0.178)	< 0.0001*
3	Brzeg	0.792	0.850 (0.041)	1	0.633	0.748 (0.167)	0.03*
4	Gołdap	0.772	0.828 (0.047)	1	0.519	0.717 (0.178)	< 0.0001*
5	Jamy	0.756	0.822 (0.048)	1	0.532	0.743 (0.174)	< 0.0001*
6	Jarocin	0.776	0.840 (0.044)	1	0.599	0.751 (0.169	0.01*
7	Kolbudy	0.754	0.829 (0.047)	1	0.529	0.760 (0.171)	< 0.0001*
8	Lubsko	0.784	0.851 (0.040)	1	0.629	0.741 (0.166)	0.04*
9	Międzyrzec	0.812	0.828 (0.047)	0.88	0.572	0.754 (0.171)	< 0.0001*
10	Międzyzdroje	0.805	0.854 (0.039)	1	0.603	0.751 (0.167)	< 0.0001*
11	Miękinia	0.794	0.838 (0.045)	1	0.627	0.737 (0.166)	0.05
12	Niepołomice	0.800	0.805 (0.055)	0.85	0.581	0.761 (0.173)	< 0.0001*
13	Pińczów	0.729	0.770 (0.064)	1	0.509	0.778 (0.179)	< 0.0001*
14	Płock	0.825	0.869 (0.034)	1	0.66	0.737 (0.164)	0.11
15	Płońsk	0.782	0.842 (0.042)	1	0.601	0.755 (0.169)	< 0.0001*
16	Pniewy	0.781	0.850 (0.041)	1	0.6	0.739 (0.167)	0.01*
17	Prudnik	0.801	0.859 (0.038)	1	0.614	0.742 (0.166)	0.01*
18	Przytok	0.807	0.828 (0.048)	0.98	0.628	0.749 (0.169)	0.02*
19	Spychowo	0.768	0.753 (0.063)	0.47	0.504	0.780 (0.178)	< 0.0001*
20	Strzyżów	0.731	0.839 (0.045)	1	0.659	0.744 (0.168)	0.11
21	Sulęcin	0.726	0.814 (0.052)	1	0.606	0.764 (0.173)	< 0.0001*
22	Szczecinek	0.831	0.807 (0.054)	0.81	0.573	0.764 (0.173)	< 0.0001*
23	Świdnica	0.726	0.820 (0.050)	1	0.549	0.759 (0.172)	< 0.0001*
24	Tomaszów	0.750	0.829 (0.047)	1	0.586	0.752 (0.172)	< 0.0001*
25	Wejherowo	0.724	0.839 (0.044)	1	0.573	0.759 (0.170)	< 0.0001*
26	Wisła	0.711	0.739 (0.068)	1	0.519	0.778 (0.180)	< 0.0001*

H_e – expected heterozygosity, H_eq - expected heterozygosity at mutation-drift equilibrium, M - M-ratio, M_eq - M-ratio at mutation-drift equilibrium, *statistical significance of p < 0.05