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

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.

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

• Journal Article Type: Article
• Acceptance Date: Jun 4, 2018
• Online Publication Date: Jul 5, 2018
• Publication Date: Jul 5, 2018
• Deposit Date: Jul 5, 2018
• Publicly Available Date: Jul 6, 2018
• Journal: Metabarcoding and Metagenomics
• Print ISSN: 2534-9708
• Publisher: Pensoft Publishers
• Peer Reviewed: Peer Reviewed
• Volume: 2
• Article Number: e24556
• Pages: e24556
• DOI: https://doi.org/10.3897/mbmg.2.24556
• Keywords: Modular adaptability; Spin column; High-throughput; Cost effective; Metabarcoding; Metagenomics; eDNA
• Public URL: https://hull-repository.worktribe.com/output/912751
• Publisher URL: https://mbmg.pensoft.net/articles.php?id=24556
• Contract Date: Jul 6, 2018