The allelic correlation structure of Gainj- and Kalam-speaking people. I. The estimation and interpretation of Wright's F-statistics.

The allelic correlation structure of Gainj- and Kalam-speaking people. I. The estimation and interpretation of Wright's F-statistics.
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盖尼语和卡拉姆语人群的等位基因相关结构。

DOI:
10.1093/genetics/112.3.629
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发表时间:
1986
期刊:
影响因子:
3.3
通讯作者:
Long,JC
Long,JC
中科院分区:
生物学2区
文献类型:
--
作者:
Long,JC

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在Sewall Wright 的F 统计模型的背景下,对巴布亚新几内亚高地的Gainj 和Kalam 轮流园艺家的等位基因相关性的内部模式进行了检查。首先给出模型的多等位基因扩展,并建议参数的多变量方差分量估计器。然后,结果表明,F 统计量集的期望取决于人口的年龄结构,并且了解人口和样本年龄结构对于有意义的分析至关重要。对五个多态性酶基因座联合估计的 F 统计数组揭示了 Gainj 和 Kalam 种群结构的以下特征:(1) 与恐慌预期的显着背离;(2) 连续分布的繁殖种群的特征,而不是对细分为具有离散边界的群体的预期特征。最后,将盖尼和卡拉姆的 F 统计估计值与其他部落人口的估计值进行了简要比较。可以看出,在盖尼和卡拉姆中观察到的分化水平仅为南美轮流园艺师中观察到的分化水平的三分之一左右。因此,一些关于社会生态环境和遗传结构相互关系的传统观点可能需要重新评估。
The internal patterning of allelic correlations in the Gainj and Kalam swidden horticulturalists of highland Papua New Guinea is examined within the context of Sewall Wright'sF-statistic model. A multiallelic extension of the model is given first, and multivariate variance-component estimators for the parameters are suggested. Then, it is shown that the expectation of theF-statistic set depends on the age structure of the population and that knowledge of the population and sample age structure is critical for meaningful analysis. The array ofF-statistics estimated jointly over five polymorphic enzyme loci reveals the following features of Gainj and Kalam population structure: (1) significant departures from panmictic expectations and (2) characteristics of a continuously distributed breeding population, rather than those expected for populations subdivided into demes with discrete boundaries. Finally, theF-statistics estimated for the Gainj and Kalam are briefly compared to estimates obtained from other tribal populations. It is seen that the level of differentiation observed in the Gainj and Kalam is only about one-third that observed in South American swidden horticulturalists. Consequently, some conventional wisdom regarding the interrelationship of socioecological settings and genetic structures may require reevaluation.
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