Abstract
Background: As most ancient biological samples have low levels of endogenous DNA, it is advantageous to enrich for specific genomic regions prior to sequencing. One approach-in-solution capture-enrichment-retrieves sequences of interest and reduces the fraction of microbial DNA. In this work, we implement a capture-enrichment approach targeting informative regions of the Y chromosome in six human archaeological remains excavated in the Caribbean and dated between 200 and 3000 years BP. We compare the recovery rate of Y-chromosome capture (YCC) alone, whole-genome capture followed by YCC (WGC + YCC) versus non-enriched (pre-capture) libraries. Results: The six samples show different levels of initial endogenous content, with very low (< 0.05%, 4 samples) or low (0.1-1.54%, 2 samples) percentages of sequenced reads mapping to the human genome. We recover 12-9549 times more targeted unique Y-chromosome sequences after capture, where 0.0-6.2% (WGC + YCC) and 0.0-23.5% (YCC) of the sequence reads were on-target, compared to 0.0-0.00003% pre-capture. In samples with endogenous DNA content greater than 0.1%, we found that WGC followed by YCC (WGC + YCC) yields lower enrichment due to the loss of complexity in consecutive capture experiments, whereas in samples with lower endogenous content, the libraries' initial low complexity leads to minor proportions of Y-chromosome reads. Finally, increasing recovery of informative sites enabled us to assign Y-chromosome haplogroups to some of the archeological remains and gain insights about their paternal lineages and origins. Conclusions: We present to our knowledge the first in-solution capture-enrichment method targeting the human Y-chromosome in aDNA sequencing libraries. YCC and WGC + YCC enrichments lead to an increase in the amount of Y-DNA sequences, as compared to libraries not enriched for the Y-chromosome. Our probe design effectively recovers regions of the Y-chromosome bearing phylogenetically informative sites, allowing us to identify paternal lineages with less sequencing than needed for pre-capture libraries. Finally, we recommend considering the endogenous content in the experimental design and avoiding consecutive rounds of capture, as clonality increases considerably with each round.
| Original language | English (US) |
|---|---|
| Article number | 608 |
| Journal | BMC Genomics |
| Volume | 19 |
| Issue number | 1 |
| DOIs | |
| State | Published - Aug 14 2018 |
Keywords
- Ancient DNA
- Capture-enrichment
- Y chromosome
ASJC Scopus subject areas
- Biotechnology
- Genetics
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Additional file 2: of In-solution Y-chromosome capture-enrichment on ancient DNA libraries
Poznik, G. D. (Contributor), Stone, A. C. (Contributor), Ávila-Arcos, M. C. (Contributor), Cruz-Dávalos, D. I. (Contributor), Schroeder, H. (Contributor), Nieves-Colón, M. A. (Contributor), Bustamante, C. D. (Contributor), Sockell, A. (Contributor) & Malaspinas, A.-S. (Contributor), figshare Academic Research System, Aug 14 2018
DOI: 10.6084/m9.figshare.6968699.v1, https://doi.org/10.6084%2Fm9.figshare.6968699.v1
Dataset
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In-solution Y-chromosome capture-enrichment on ancient DNA libraries
Cruz-Dávalos, D. I. (Creator), Nieves-Colón, M. A. (Creator), Sockell, A. (Creator), Poznik, G. D. (Contributor), Schroeder, H. (Creator), Stone, A. C. (Creator), Bustamante, C. D. (Creator), Malaspinas, A.-S. (Contributor) & Ávila-Arcos, M. C. (Creator), figshare Academic Research System, 2018
DOI: 10.6084/m9.figshare.c.4198895.v1, https://figshare.com/collections/In-solution_Y-chromosome_capture-enrichment_on_ancient_DNA_libraries/4198895/1
Dataset
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Additional file 3: of In-solution Y-chromosome capture-enrichment on ancient DNA libraries
Stone, A. C. (Contributor), Poznik, G. D. (Contributor), Cruz-Dávalos, D. I. (Contributor), Bustamante, C. D. (Contributor), Nieves-Colón, M. A. (Contributor), Ávila-Arcos, M. C. (Contributor), Sockell, A. (Contributor), Schroeder, H. (Contributor) & Malaspinas, A.-S. (Contributor), figshare Academic Research System, Aug 14 2018
DOI: 10.6084/m9.figshare.6968705.v1, https://doi.org/10.6084%2Fm9.figshare.6968705.v1
Dataset
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