An Empirical Comparison of Preservation Methods for Synthetic DNA Data Storage. Issue 5 (25th January 2021)

• Record Type: Journal Article
• Authors: Organick, Lee; Nguyen, Bichlien H.; McAmis, Rachel; Chen, Weida D.; Kohll, A. Xavier; Ang, Siena Dumas; Grass, Robert N.; Ceze, Luis; Strauss, Karin
• Is Part Of: Small methods. Volume 5:Issue 5(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-01-25
• Subjects: DNA data storage -- synthetic DNA preservation -- synthetic DNA; Nanotechnology -- Methodology -- Periodicals; Nanotechnology -- Periodicals; Periodicals; 620.5028
• DOI: 10.1002/smtd.202001094
• Languages: English
• ISSNs: 2366-9608

Abstract

Abstract: Synthetic DNA has recently risen as a viable alternative for long‐term digital data storage. To ensure that information is safely recovered after storage, it is essential to appropriately preserve the physical DNA molecules encoding the data. While preservation of biological DNA has been studied previously, synthetic DNA differs in that it is typically much shorter in length, it has different sequence profiles with fewer, if any, repeats (or homopolymers), and it has different contaminants. In this paper, nine different methods used to preserve data files encoded in synthetic DNA are evaluated by accelerated aging of nearly 29 000 DNA sequences. In addition to a molecular count comparison, the DNA is also sequenced and analyzed after aging. These findings show that errors and erasures are stochastic and show no practical distribution difference between preservation methods. Finally, the physical density of these methods is compared and a stability versus density trade‐offs discussion provided. Abstract : Storing data in synthetic DNA may be a solution to the ever‐expanding long‐term digital data storage needs. A practical concern is the method for physically storing this DNA. This work evaluates the ability of nine different methods to preserve DNA. Accelerated aging of tens of thousands of DNA sequences yields a wide distribution of half‐lives, uncorrelated with sequence patterns.