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. 2024 Jun 21;5(2):102985.
doi: 10.1016/j.xpro.2024.102985. Epub 2024 Apr 30.

Protocol for a comprehensive pipeline to study ancient human genomes

Affiliations

Protocol for a comprehensive pipeline to study ancient human genomes

Kongyang Zhu et al. STAR Protoc. .

Abstract

Ancient genomics has revolutionized our understanding of human evolution and migration history in recent years. Here, we present a protocol to prepare samples for ancient genomics research. We describe steps for releasing DNA from human remains, DNA library construction, hybridization capture, quantification, and sequencing. We then detail procedures for mapping sequence reads and population genetics analysis. This protocol also outlines challenges in extracting ancient DNA samples and authenticating ancient DNA to uncover the genetic history and diversity of ancient populations. For complete details on the use and execution of this protocol, please refer to Tao et al.1.

Keywords: Genetics; Genomics; Sequence analysis; Sequencing.

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Conflict of interest statement

Declaration of interests The authors declare no competing interests.

Figures

None
Graphical abstract
Figure 1
Figure 1
Map of electrophoresis Ancient DNA bands should range from 120–200 bp. The size of the markers (M) corresponds to library molecules (loaded on lanes L). DNA band should not be observed in the Negative control (NC) lane; otherwise, the samples may be contaminated by exogenous DNA. The brightness of this graph has been entirely adjusted to present a clear DNA marker.
Figure 3
Figure 3
Screenshot of the sample1 output of part 1
Figure 2
Figure 2
Screenshot of the sample1 output of AdapterRemoval
Figure 4
Figure 4
Ancient DNA damage pattern of sample1 Nucleotide misincorporation patterns caused by C- > T deamination in both ends of ancient DNA sequences.
Figure 5
Figure 5
Genetic kin relationships estimated by READ
Figure 6
Figure 6
Visualization of first two PCs of the output of smartPCA
Figure 7
Figure 7
Admixture ancestry estimation based on the model-based ADMIXTURE analysis
Figure 8
Figure 8
The top and bottom five results of outgroup-f3 statistics show the close relationship between Upper Yellow River populations and the test population
Figure 9
Figure 9
The top and bottom five results of f4-statistics show the close genetics profiles between CDG and JHC
Figure 10
Figure 10
Screenshot of the output of the qpAdm provided in CDG.result and JHC.result

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References

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