Department of Biology, Lund University, 22362 Lund, Sweden.
Department of Animal and Plant Sciences, University of Sheffield, Sheffield S10 2TN, UK.
Cell Rep Methods. 2022 Aug 22;2(8):100270. doi: 10.1016/j.crmeth.2022.100270.
Radiocarbon dating is the gold standard in archeology to estimate the age of skeletons, a key to studying their origins. Many published ancient genomes lack reliable and direct dates, which results in obscure and contradictory reports. We developed the temporal population structure (TPS), a DNA-based dating method for genomes ranging from the Late Mesolithic to today, and applied it to 3,591 ancient and 1,307 modern Eurasians. TPS predictions aligned with the known dates and correctly accounted for kin relationships. TPS dating of poorly dated Eurasian samples resolved conflicting reports in the literature, as illustrated by one test case. We also demonstrated how TPS improved the ability to study phenotypic traits over time. TPS can be used when radiocarbon dating is unfeasible or uncertain or to develop alternative hypotheses for samples younger than 10,000 years ago, a limitation that may be resolved over time as ancient data accumulate.
放射性碳测年是考古学中估计骨骼年龄的黄金标准,这是研究其起源的关键。许多已发表的古代基因组缺乏可靠和直接的日期,导致报告模糊且相互矛盾。我们开发了基于 DNA 的时间人群结构 (TPS) ,这是一种适用于从晚石器时代到今天的基因组的测年方法,并将其应用于 3591 个古代和 1307 个现代欧亚人。TPS 预测与已知日期一致,并正确考虑了亲属关系。TPS 对年代不详的欧亚样本进行测年,解决了文献中的冲突报告,如图所示的一个测试案例。我们还展示了 TPS 如何随着时间的推移提高研究表型特征的能力。当放射性碳测年不可行或不确定时,或者对于年龄小于 10000 年的样本开发替代假设时,可以使用 TPS,随着时间的推移,随着古代数据的积累,这一限制可能会得到解决。