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Mu-DNA: a modular universal DNA extraction method adaptable for a wide range of sample types

Sellers, Graham S.; Di Muri, Cristina; Gómez, Africa; Hänfling, Bernd

Authors

Graham S. Sellers

Cristina Di Muri

Dr Bernd Haenfling B.Haenfling@hull.ac.uk
Senior Lecturer/ Chair of the Evolutionary Biology Group (EvoHull)



Contributors

Abstract

Efficient DNA extraction is fundamental to molecular studies. However, commercial kits are expensive when a large number of samples need to be processed. Here we present a simple, modular and adaptable DNA extraction ‘toolkit’ for the isolation of high purity DNA from multiple sample types (modular universal DNA extraction method or Mu-DNA). We compare the performance of our method to that of widely used commercial kits across a range of soil, stool, tissue and water samples. Mu-DNA produced DNA extractions of similar or higher yield and purity to that of the commercial kits. As a proof of principle, we carried out replicate fish metabarcoding of aquatic eDNA extractions, which confirmed that the species detection efficiency of our method is similar to that of the most frequently used commercial kit. Our results demonstrate the reliability of Mu-DNA along with its modular adaptability to challenging sample types and sample collection methods. Mu-DNA can substantially reduce the costs and increase the scope of experiments in molecular studies.

Journal Article Type Article
Publication Date Jul 5, 2018
Journal Metabarcoding and Metagenomics
Print ISSN 2534-9708
Publisher Pensoft Publishers
Peer Reviewed Peer Reviewed
Volume 2
Article Number e24556
Pages e24556
Institution Citation Sellers, G. S., Di Muri, C., Gómez, A., & Hänfling, B. (2018). Mu-DNA: a modular universal DNA extraction method adaptable for a wide range of sample types. Metabarcoding and Metagenomics, 2, e24556. https://doi.org/10.3897/mbmg.2.24556
DOI https://doi.org/10.3897/mbmg.2.24556
Keywords Modular adaptability; Spin column; High-throughput; Cost effective; Metabarcoding; Metagenomics; eDNA
Publisher URL https://mbmg.pensoft.net/articles.php?id=24556
Copyright Statement Copyright Graham S. Sellers et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Copyright Statement
Copyright Graham S. Sellers et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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