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Related Experiment Video

Updated: Mar 29, 2026

Optimized Bone Sampling Protocols for the Retrieval of Ancient DNA from Archaeological Remains

Optimized Bone Sampling Protocols for the Retrieval of Ancient DNA from Archaeological Remains

Published on: November 30, 2021

Methods to characterize selective sweeps using time serial samples: an ancient DNA perspective.

Anna-Sapfo Malaspinas^1,2

¹Institute of Ecology and Evolution, University of Bern, Baltzerstrasse 6, CH-3012, Bern, Switzerland.

Molecular Ecology

|November 28, 2015

Summary

This summary is machine-generated.

Ancient DNA genomics research now uses time-series data to study genome evolution and selection. New statistical methods help researchers analyze these ancient genomes to understand evolutionary processes.

Keywords:

adaptation genomics/proteomics population genetics - empirical population genetics - theoretical

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Last Updated: Mar 29, 2026

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Area of Science:

Evolutionary biology
Genomics
Bioinformatics

Background:

Ancient DNA (aDNA) research has entered the genomics era with an influx of new genome data.
The temporal dimension of aDNA data allows for the study of evolutionary processes over time.
Recent advancements have led to new statistical methods for analyzing selection in ancient populations.

Purpose of the Study:

To review statistical methods for detecting non-neutral evolution in ancient genomes.
To guide researchers in selecting appropriate methods for their aDNA data.
To discuss the assumptions and applicability of various evolutionary inference techniques.

Main Methods:

Review of statistical methods for detecting selection using time-series aDNA data.
Discussion of methods for inferring selection coefficients from ancient genomes.
Comparison of approaches developed for both experimental evolution and aDNA studies.

Main Results:

Identification of numerous statistical methods applicable to aDNA evolutionary studies.
Characterization of the assumptions and parameter ranges for these methods.
Highlighting the utility of temporal data for understanding genome evolution.

Conclusions:

Ancient DNA genomics provides powerful tools for evolutionary inference.
Statistical method selection is crucial for accurate analysis of aDNA data.
This review serves as a guide for researchers applying evolutionary methods to ancient genomes.