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BioTechniques
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BioTechniques
Article . 2007
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Comparison and Optimization of Ancient DNA Extraction

Authors: Michael Hofreiter; Nadin Rohland;

Comparison and Optimization of Ancient DNA Extraction

Abstract

Ancient DNA analyses rely on the extraction of the tiny amounts of DNA remaining in samples that are hundreds to tens of thousands of years old. Despite the critical role extraction efficiency plays in this field of research, no study has comprehensively compared ancient DNA extraction techniques to date. There are a wide range of methods currently in use, which rely on such disparate principles as spin columns, alcohol precipitation, or binding to silica. We have compared a number of these methods using quantitative PCR and then optimized each step of the most promising method. We found that most chemicals routinely added to ancient DNA extraction buffers do not increase, and sometimes even decrease, DNA yields. Consequently, our optimized method uses a buffer consisting solely of EDTA and proteinase K for bone digestion and binding DNA to silica via guanidinium thiocyanate for DNA purification. In a comparison with published methods, this minimalist approach, on average, outperforms all other methods in terms of DNA yields as measured using quantitative PCR. We also found that the addition of bovine serum albumin (BSA) to the PCR helps to overcome inhibitors in ancient DNA extracts. Finally, we observed a marked difference in the performance between different types of DNA polymerases, as measured by amplification success.

Keywords

QH301-705.5, Fossils, Paleontology, Serum Albumin, Bovine, DNA, Sequence Analysis, DNA, Buffers, Hydrogen-Ion Concentration, Silicon Dioxide, Polymerase Chain Reaction, Bone and Bones, Animals, Salts, Biology (General), Endopeptidase K, Edetic Acid, Ursidae

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    301
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
301
Top 1%
Top 1%
Top 1%
gold