Neel J V, Ward R H
Genetics. 1972 Dec;72(4):639-66. doi: 10.1093/genetics/72.4.639.
The infra-structure of three relatively undisturbed tribes of American Indians (Yanomama, Makiritare, Xavante) has been investigated by means of the F-statistics of Wright, using 8, 9 and 6 codominant systems respectively. The data for the first two mentioned tribes are much more extensive (37 and 7 villages) than for the third (3 villages), and much of the argument is based on the first two. An additive model partitioning F(IS) into an average effect (F(A)) and deviations due to deme size, systems effects, village effects, and random error has been employed. The Cannings-Edwards formulation suggests that the small size of the demes alone would result in an F(IS) of -0.008 for the Yanomama and -0.007 for the Makiritare. There is no evidence for significant village or systems effects. Despite considerable scatter, F(A) values are not significantly heterogeneous and tend to be negative (-0.012 to -0.023). On the basis of a computer simulation model, it appears that there is an excess of consanguineous marriage over random expectation, i.e. the negative F(A) values are probably not due to avoidance of close inbreeding in a subdivided population in which demes are small. Aspects of population structure which could contribute to negative F(A) values are identified. These include unequal gene frequencies in the sexes and occasional marked differential fertility. It is at this point unnecessary to introduce overdominance as a cause of the negative F(A) values, since a computer simulation program which does not incorporate selection satisfactorily reproduces the observed F(IS) values. If population breeding structure alone can result in negative F(IS) values, then this may constitute a mechanism for retarding random fixation.-Mean F(ST) values are 0.063 for the Yanomama and 0.036 for the Makiritare. While truly comparable data are lacking, it seems likely these will be found to be relatively high values for human populations. F(IT) values have been calculated by both direct and indirect approaches. The direct approach yields a value of 0.045 for the Yanomama and -0.009 for the Makiritare; the respective indirect values are 0.085 and 0.017. The primary identifiable reason for this difference between tribes is the greater genetic heterogeneity among Yanomama villages. The assumptions underlying the indirect approach to the calculation of F(IT) do not appear to be met in these populations.
借助赖特的F统计量,分别使用8个、9个和6个共显性系统,对三个相对未受干扰的美洲印第安部落(亚诺玛米人、马基里塔雷人、哈万特人)的基础结构进行了调查。前两个提到的部落的数据(分别为37个和7个村庄)比第三个部落(3个村庄)的数据广泛得多,并且大部分论证是基于前两个部落。采用了一种加法模型,将F(IS)分解为平均效应(F(A))以及由于群落大小、系统效应、村庄效应和随机误差导致的偏差。坎宁斯 - 爱德华兹公式表明,仅群落规模较小这一点,就会使亚诺玛米人的F(IS)为 -0.008,马基里塔雷人的F(IS)为 -0.007。没有证据表明存在显著的村庄或系统效应。尽管存在相当大的离散度,但F(A)值并没有显著的异质性,且往往为负值(-0.012至 -0.023)。基于计算机模拟模型,似乎近亲结婚的实际情况超过了随机预期,也就是说,F(A)值为负可能并非由于在群落规模较小的细分种群中避免近亲繁殖。确定了可能导致F(A)值为负的种群结构方面的因素。这些因素包括两性间基因频率不平等以及偶尔出现的显著生育差异。此时没有必要引入超显性作为F(A)值为负的原因,因为一个未纳入令人满意的选择机制的计算机模拟程序能够令人满意地再现观察到的F(IS)值。如果仅种群繁殖结构就能导致F(IS)值为负,那么这可能构成一种延缓随机固定的机制。——亚诺玛米人的平均F(ST)值为0.063,马基里塔雷人的平均F(ST)值为0.036。虽然缺乏真正可比的数据,但对于人类种群而言,这些值似乎可能相对较高。F(IT)值通过直接和间接方法进行了计算。直接方法得出亚诺玛米人的值为0.045,马基里塔雷人的值为 -0.009;各自的间接值为0.085和0.017。部落之间这种差异的主要可识别原因是亚诺玛米人村庄之间的遗传异质性更大。在这些种群中,计算F(IT)的间接方法所依据的假设似乎并未得到满足。