Sex-linked genetic diversity originates from persistent sociocultural processes at microgeographic scales
Sex-linked genetic diversity originates from persistent sociocultural processes at microgeographic scales
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DOI：
10.1098/rsos.190733
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发表时间：
2019-08-01
影响因子：
3.5
通讯作者：
Cox，Murray P.
中科院分区：
文献类型：
--
作者：
Chung，Ning Ning;Jacobs，Guy S.;Cox，Murray P.
人口遗传学在确定人类群体及其相互关联的历史之间的关系方面取得了成功。然而，大规模推断的遗传人口学与最终产生这种人口学的个人人类行为之间的联系并不总是明确的。虽然人类学和历史背景经常作为人口遗传学研究的辅助工具出现，以帮助描述过去，但确定人类社会文化行为的潜在模式如何影响遗传学仍然具有挑战性。在这里，我们分析了印度尼西亚东部的两个岛屿--当地的Sumba和东帝汶的一个地区--村庄规模的样本的遗传变异模式。采用‘过程建模’的方法，我们迭代地探索不同结构模型的组合作为一种思考工具。我们发现了相互关联的社会遗传互动，包括性别偏见的移民，专注于世系的创始人效应，以及Sumba上的可遗传社会优势。值得注意的是，创始人思想是一种源于更大区域尺度的人类学和考古学研究的文化模式，它在村庄尺度上既有起源，也有影响。过程建模使我们能够探索这些复杂的相互作用，首先通过在研究具有许多相互作用的大数据集时绕过形式推理的复杂性，然后通过从更熟悉的群体遗传学的角度明确地测试关于社会文化行为的复杂的人类学假设。
Population genetics has been successful at identifying the relationships between human groups and their interconnected histories. However, the link between genetic demography inferred at large scales and the individual human behaviours that ultimately generate that demography is not always clear. While anthropological and historical context are routinely presented as adjuncts in population genetic studies to help describe the past, determining how underlying patterns of human sociocultural behaviour impact genetics still remains challenging. Here, we analyse patterns of genetic variation in village-scale samples from two islands in eastern Indonesia, patrilocal Sumba and a matrilocal region of Timor. Adopting a ‘process modelling’ approach, we iteratively explore combinations of structurally different models as a thinking tool. We find interconnected socio-genetic interactions involving sex-biased migration, lineage-focused founder effects, and on Sumba, heritable social dominance. Strikingly, founder ideology, a cultural model derived from anthropological and archaeological studies at larger regional scales, has both its origins and impact at the scale of villages. Process modelling lets us explore these complex interactions, first by circumventing the complexity of formal inference when studying large datasets with many interacting parts, and then by explicitly testing complex anthropological hypotheses about sociocultural behaviour from a more familiar population genetic standpoint.