Help Privacy Policy Disclaimer
  Advanced SearchBrowse




Journal Article

Performance and automation of ancient DNA capture with RNA hyRAD probes (advance online)


Krause,  Johannes
Archaeogenetics, Max Planck Institute for the Science of Human History, Max Planck Society;
Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society;

Fulltext (public)
Supplementary Material (public)

(Supplementary material), 2MB

(Supplementary material), 26KB


Suchan, T., Kusliy, M. A., Khan, N., Chauvey, L., Tonasso-Calvière, L., Schiavinato, S., et al. (2021). Performance and automation of ancient DNA capture with RNA hyRAD probes (advance online). Molecular Ecology Resources, 13518. doi:10.1111/1755-0998.13518.

Cite as: http://hdl.handle.net/21.11116/0000-0009-6A8F-0
Abstract DNA hybridization-capture techniques allow researchers to focus their sequencing efforts on preselected genomic regions. This feature is especially useful when analysing ancient DNA (aDNA) extracts, which are often dominated by exogenous environmental sources. Here, we assessed, for the first time, the performance of hyRAD as an inexpensive and design-free alternative to commercial capture protocols to obtain authentic aDNA data from osseous remains. HyRAD relies on double enzymatic restriction of fresh DNA extracts to produce RNA probes that cover only a fraction of the genome and can serve as baits for capturing homologous fragments from aDNA libraries. We found that this approach could retrieve sequence data from horse remains coming from a range of preservation environments, including beyond radiocarbon range, yielding up to 146.5-fold on-target enrichment for aDNA extracts showing extremely low endogenous content (<1%). Performance was, however, more limited for those samples already characterized by good DNA preservation (>20%?30%), while the fraction of endogenous reads mapping on- and off-target was relatively insensitive to the original endogenous DNA content. Procedures based on two instead of a single round of capture increased on-target coverage up to 3.6-fold. Additionally, we used methylation-sensitive restriction enzymes to produce probes targeting hypomethylated regions, which improved data quality by reducing post-mortem DNA damage and mapping within multicopy regions. Finally, we developed a fully automated hyRAD protocol utilizing inexpensive robotic platforms to facilitate capture processing. Overall, our work establishes hyRAD as a cost-effective strategy to recover a set of shared orthologous variants across multiple ancient samples.