Lin Fang-Jun, Jiang Ping-Ping, Ding Ping
College of Life Sciences, Zhejiang University, Hangzhou 310058, China.
Dongwuxue Yanjiu. 2010 Oct;31(5):461-8. doi: 10.3724/SP.J.1141.2010.05461.
In this study, we reported the population genetic analyses in the Elliot's Pheasant(Syrnaticus ellioti) using seven polymorphism microsatellite loci based on 105 individuals from 4 geographical populations. Departures from Hardy-Weinberg equilibrium were found in four geographical populations. The average number of alleles was 8.86, with a total of 62 alleles across 7 loci; observed heterozygosity (HO) was generally low and the average number was 0.504. For the seven microsatellite loci, the polymorphism information content ranged from 0.549 to 0.860, with an average number 0.712. Population bottlenecks of the four geographical populations were tested by infinite allele mutation model, step-wise mutation model and two-phase mutation model, which found that each population had experienced bottleneck effect during the recent period. Fst analysis across all geographical populations indicated that the genetic differentiaton between the Guizhou geographical population and the Hunan geographical population was highly significant (P<0.001), a finding supported by the far genetic relationship showed by the neighbor-joining tree of four geographical populations based on Nei's unbiased genetic distances. Using hierarchical analysis of molecular variance (Guizhou geographical population relative to all others pooled), we found a low level of the genetic variation among geographical populations and that between groups. However, differences among populations relative to the total sample explained most of the genetic variance (92.84%), which was significant.
在本研究中,我们基于来自4个地理种群的105个个体,利用7个多态性微卫星位点对白颈长尾雉(Syrnaticus ellioti)进行了群体遗传分析。在4个地理种群中发现了偏离哈迪-温伯格平衡的情况。等位基因的平均数量为8.86,7个位点共有62个等位基因;观察到的杂合度(HO)普遍较低,平均为0.504。对于这7个微卫星位点,多态性信息含量范围为0.549至0.860,平均为0.712。通过无限等位基因突变模型、逐步突变模型和两阶段突变模型对4个地理种群的群体瓶颈进行了测试,结果发现每个种群在近期都经历了瓶颈效应。对所有地理种群的Fst分析表明,贵州地理种群和湖南地理种群之间的遗传分化高度显著(P<0.001),基于Nei无偏遗传距离的4个地理种群的邻接树显示的远缘遗传关系支持了这一发现。使用分子方差分层分析(贵州地理种群相对于所有其他合并种群),我们发现地理种群之间以及群体之间的遗传变异水平较低。然而,相对于总样本,种群间差异解释了大部分遗传方差(92.84%),这是显著的。