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A High-Throughput Ancient DNA Extraction Method for Large-Scale Sample Screening.

Gilardet Alexandre, A Lord, Edana E et al.

39912442 PubMed ID
18 Authors
2025-05-06 Published
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

GA
Gilardet Alexandre
AL
A Lord
EE
Edana E
GG
García Gonzalo Oteo
GX
GO Xenikoudakis
GG
Georgios G
DK
Douka Katerina
KW
K Wooller
MJ
Matthew J MJ
RT
Rowe Timothy
TM
T Martin
MD
Michael D MD
LM
Le Moullec Mathilde
MA
M Anisimov
MM
Michail M
HP
Heintzman Peter D
PD
PD Dalén
LL
Love L
Chapter II

Abstract

Summary of the research findings

Large-scale DNA screening of palaeontological and archaeological collections remains a limiting and costly factor for ancient DNA studies. Several DNA extraction protocols are routinely used in ancient DNA laboratories and have even been automated on robotic platforms. Robots offer a solution for high-throughput screening but the costs, as well as necessity for trained technicians and engineers, can be prohibitive for some laboratories. Here, we present a high-throughput alternative to robot-based ancient DNA extraction using a 96-column plate. When compared to routine single MinElute columns, we retrieved highly similar endogenous DNA contents, an important metric in ancient DNA screening. Mitogenomes with a coverage depth greater than 0.1× could be generated and allowed for taxonomic assignment. However, average fragment lengths, DNA damage and library complexities significantly differed between methods but these differences became nonsignificant after modification of our library purification protocol. Our high-throughput extraction method allows generation of 96 extracts within approximately 4 hours of laboratory work while bringing the cost down by ~39% compared to using single columns. Additionally, we formally demonstrate that the addition of Tween-20 during the elution step results in higher complexity libraries, thereby enabling higher genome coverage for the same sequencing effort.

Chapter III

AI-Generated Summary

AI-generated by DNAGENICS

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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.

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