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Ancient DNA and human physiology.

Bayarsaikhan Misheelt, M Boyle, Michael James MJ et al.

41790057 PubMed ID
10 Authors
2026-03-06 Published
1,720 Views
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

BM
Bayarsaikhan Misheelt
MB
M Boyle
MJ
Michael James MJ
DP
Demers Phoebe V
PH
PV Habeck Iv
EW
Edward W EW
RJ
Romeyer-Dherbey Joanna H
JS
JH Silverman
SS
Shahar S
MD
Massilani Diyendo
Chapter II

Abstract

Summary of the research findings

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. While some challenges remain, such as geographic and temporal sampling disparities, technical limitations, 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.

Chapter III

AI-Generated Summary

AI-generated by DNAGENICS

Independent AI summary of ancestry and genetic findings from the published study

Important: This summary is AI-generated by DNAGENICS for informational purposes only. It was not created by, affiliated with, or endorsed by the researchers behind the original publication, and is based solely on that published research. It may contain errors or omissions. DNAGENICS disclaims all liability for any inaccuracies or consequences arising from use of this information. Verify all information against the original publication. This is not professional scientific review or medical advice.

Summary

Key Findings

Ancestry Insights

Traits Analysis

Historical Context