International Journal of Molecular Evolution and Biodiversity 2024, Vol.14, No.2, 62-70 http://ecoevopublisher.com/index.php/ijmeb 66 By calculating the fixation index (F), this study also observed that the heterozygosity ratios of most SSR loci were significantly higher than expected under Hardy-Weinberg equilibrium, particularly in the Sanya population, where many loci had negative F values ranging from -0.9091 to -0.0449, indicating higher actual heterozygosity than theoretically expected (Table 1). Although the Qionghai population had 12 loci showing heterozygosity consistent with Hardy-Weinberg equilibrium, the remaining 15 loci also exhibited similar negative deviations, ranging from -0.9091 to -0.1665, with only one locus showing lower heterozygosity than expected under Hardy-Weinberg equilibrium, with an F value of 1. Overall, the fixation index (F) for SSR loci in the Sanya population was -0.2124, while in the Qionghai population, it was -0.5277. Table 1 The value of heterozygosity fixation index and their mean value in two populations SSR locus Sanya population Qionghai population Direct count heterozygosity Expected heterozygosity Unbiased heterozygosity F Direct count heterozygosity Expected heterozygosity Unbiased heterozygosity F RM140 0.6364 0.6653 0.6970 0.0870 0.0909 0.0868 0.0909 0 RM48 0.2727 0.3512 0.3680 0.2590 0.0000 0.0000 0.0000 - RM114 0.4545 0.3512 0.3680 -0.2351 0.7273 0.4628 0.4848 -0.5002 RM237 0.9091 0.5785 0.6061 -0.5000 0.0909 0.0868 0.0909 0 RM143 0.2727 0.5000 0.5238 0.4794 0.7273 0.4959 0.5195 -0.4000 RM127 0.8182 0.7397 0.7749 -0.0559 0.0000 0.1653 0.1732 1 RM131 0.4545 0.3512 0.3680 -0.2351 0.0909 0.0868 0.0909 0 RM293 1.0000 0.5000 0.5238 -0.9091 1.0000 0.5000 0.5238 -0.9091 RM280 1.0000 0.5413 0.5671 -0.7637 0.0000 0.0000 0.0000 - RM185 0.8182 0.4835 0.5065 -0.6154 1.0000 0.5000 0.5238 -0.9091 RM11 0.1818 0.1653 0.1732 -0.0497 0.0909 0.0868 0.0909 0 RM111 0.5455 0.4959 0.5195 -0.0449 0.0909 0.0868 0.0909 0 RM162 0.6364 0.4339 0.4545 -0.4002 1.0000 0.5000 0.5238 -0.9091 RM126 0.1818 0.1653 0.1732 -0.0497 0.0000 0.0000 0.0000 - RM171 0.4545 0.3512 0.3680 -0.2351 0.0000 0.0000 0.0000 - RM321 0.4545 0.3512 0.3680 -0.2351 0.0000 0.0000 0.0000 - RM19 0.9091 0.5620 0.5887 -0.5443 1.0000 0.5000 0.5238 -0.9091 RM202 1.0000 0.5000 0.5238 -0.9091 1.0000 0.5000 0.5238 -0.9091 RM206 0.6364 0.5413 0.5671 -0.1222 0.0909 0.0868 0.0909 0 RM222 0.0000 0.0000 0.0000 - 0.0909 0.0868 0.0909 0 RM229 0.7273 0.5826 0.6104 -0.1915 1.0000 0.5413 0.5671 -0.7634 RM239 0.7273 0.4628 0.4848 -0.5002 0.0909 0.0868 0.0909 0 RM3 0.8182 0.5413 0.5671 -0.4228 0.0000 0.0000 0.0000 - RM160 0.0000 0.0000 0.0000 - 0.3636 0.2975 0.3117 -0.1665 RM163 0.4545 0.3512 0.3680 -0.2351 0.4545 0.3512 0.3680 -0.2351 RM295 0.7273 0.5620 0.5887 -0.2354 1.0000 0.5000 0.5238 -0.9091 RM20 0.5455 0.3967 0.4156 -0.3126 0.0909 0.0868 0.0909 0 RM5 1.0000 0.6198 0.6494 -0.5399 0.0000 0.0000 0.0000 - RM17 0.5455 0.5785 0.6061 0.1000 0.0909 0.0868 0.0909 0 RM42 0.8182 0.6074 0.6364 -0.2857 0.0909 0.0868 0.0909 0 RM26 0.8182 0.5744 0.6017 -0.3598 0.9091 0.5331 0.5584 -0.6280 RM80 0.4545 0.7314 0.7662 0.4068 0.0000 0.3967 0.4156 1 RM242 0.9091 0.6198 0.6494 -0.4000 1.0000 0.5000 0.5238 -0.9091 RM169 0.0000 0.5195 0.4959 1 0.9091 0.4959 0.5195 -0.7500 RM166 0.0000 0.0000 0.0000 - 0.9091 0.4959 0.5195 -0.7500 RM2 0.5455 0.3967 0.4156 -0.3126 1.0000 0.5000 0.5238 -0.9091 RM18 0.1818 0.3140 0.3290 -0.4474 0.0909 0.0868 0.0909 0 Mean 0.5651 0.4449 0.4661 -0.2124 0.4079 0.2057 0.2627 -0.5527
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