Ancient DNA and Human Physiology.

IF 10.3
Physiology (Bethesda, Md.) Pub Date : 2026-11-01 Epub Date: 2026-03-06 DOI:10.1152/physiol.00047.2025
Misheelt Bayarsaikhan, Michael James Boyle, Phoebe V Demers, Edward W Habeck, Joanna H Romeyer-Dherbey, Shahar Silverman, Diyendo Massilani
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Abstract

Ancient DNA (aDNA) enables the reconstruction of chronologically sampled genomes from ancient humans, animals, plants, pathogens, and microorganisms, as well as environmental DNA, providing a record of biological changes through time. Improvements in short and degraded DNA extraction methods and low-cost sequencing now enable the generation of broad, cross-regional datasets that expand evolutionary analyses from past population demography to biological mechanisms. By tracking temporal shifts of allele frequencies, integrating functional genomics resources (e.g., gene expression, chromatin structure variation), modeling population demography to separate selection from genetic drift, and aligning genetic changes with archaeological, cultural, and climatic data, aDNA has the potential to link sequence variation to physiological function within their temporal and environmental contexts. In this review, we summarize illustrative case studies from aDNA research spanning complex traits, dietary adaptations, and responses to pathogens and other environmental changes, showing how human biology has evolved under multiple selective pressures through time. These dated signals help triage experimental work and expose mechanisms that are rare or absent in living cohorts. Although some challenges remain, such as geographic and temporal sampling disparities, limitations in data resolution and variant detection, and genotype-phenotype uncertainties, rapid methodological progress and stronger ethical frameworks are expanding what can be inferred, making aDNA a promising tool for refining physiological pathways, their timing, and their drivers.

古代DNA和人类生理学。
古DNA (aDNA)能够重建古人类、动物、植物、病原体和微生物以及环境DNA的按时间顺序采样的基因组,提供随时间变化的生物变化记录。短时间和降解DNA提取方法的改进和低成本测序现在能够产生广泛的跨区域数据集,将进化分析从过去的人口统计学扩展到生物机制。通过追踪等位基因频率的时间变化,整合功能基因组学资源(如基因表达、染色质结构变化),建立人口统计学模型,将选择与遗传漂变分离开来,并将遗传变化与考古、文化和气候数据相结合,aDNA有可能在时间和环境背景下将序列变化与生理功能联系起来。在这篇综述中,我们总结了从复杂性状、饮食适应、对病原体和其他环境变化的反应等方面的aDNA研究的说导性案例,展示了人类生物学是如何在多重选择压力下进化的。这些过时的信号有助于分类实验工作,并揭示在生活队列中罕见或不存在的机制。虽然仍然存在一些挑战,如地理和时间采样差异、技术限制和基因型-表型不确定性,但快速的方法进步和更强大的伦理框架正在扩大可以推断的内容,使aDNA成为细化生理途径、其时间和驱动因素的有前途的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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