Exploring potential biosafety implications in DNA information storage

Deoxyribonucleic acid (DNA) information storage has emerged as a promising solution to address the challenges of traditional silicon-based data storage systems. However, the biosafety implications of artificially synthesized DNA sequences in this technology remain understudied. This research evaluates the biosafety risks associated with five representative DNA storage encoding methods [Church, Goldman, DNA Fountain, Grass, and movable-type (MT) encoding] by analyzing their sequence similarities to natural biological DNA. Through Kraken2 taxonomic classification and Basic Local Alignment Search Tool for nucleotides (BLASTn) alignment analysis, we found that while most artificially designed DNA sequences showed significant differences from known biological sequences, specific encoding methods produced sequences similar to natural genomes. The MT encoding method showed the highest annotation rate (4.59 %) in Kraken2 analysis, while Goldman and Fountain methods demonstrated significant local sequence alignments in BLASTn analysis. Sequence length positively correlated with annotation rates, suggesting longer sequences pose potentially higher biosafety risks. Furthermore, aligned sequences often exhibited characteristics of tandem repeats, particularly in non-coding regions. These findings highlight the importance of incorporating biosafety considerations in DNA storage encoding method development and suggest that randomization strategies may help mitigate potential risks. Our study provides valuable insights into the safe advancement of DNA storage technology and emphasizes the need for comprehensive biosafety evaluation in synthetic biology applications.

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Publication Details

Journal
Biosafety and Health
Published
2025-03-29
DOI
https://doi.org/10.1016/j.bsheal.2025.03.006
Citations
2
Primary Topic
DNA and Biological Computing
Type
article
Field-Weighted Citation Impact
1.61

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article

Exploring potential biosafety implications in DNA information storage

Yue Shi, Shangzhe Li, Lijia Jia, Haizhou Liu et al.
2 citations
Biosafety and Health
DNA and Biological Computing
1.61
article

Exploring potential biosafety implications in DNA information storage

Yue Shi, Shangzhe Li, Lijia Jia, Haizhou Liu, Jing Yang, Di Liu
article en
2 citations

Abstract

Deoxyribonucleic acid (DNA) information storage has emerged as a promising solution to address the challenges of traditional silicon-based data storage systems. However, the biosafety implications of artificially synthesized DNA sequences in this technology remain understudied. This research evaluates the biosafety risks associated with five representative DNA storage encoding methods [Church, Goldman, DNA Fountain, Grass, and movable-type (MT) encoding] by analyzing their sequence similarities to natural biological DNA. Through Kraken2 taxonomic classification and Basic Local Alignment Search Tool for nucleotides (BLASTn) alignment analysis, we found that while most artificially designed DNA sequences showed significant differences from known biological sequences, specific encoding methods produced sequences similar to natural genomes. The MT encoding method showed the highest annotation rate (4.59 %) in Kraken2 analysis, while Goldman and Fountain methods demonstrated significant local sequence alignments in BLASTn analysis. Sequence length positively correlated with annotation rates, suggesting longer sequences pose potentially higher biosafety risks. Furthermore, aligned sequences often exhibited characteristics of tandem repeats, particularly in non-coding regions. These findings highlight the importance of incorporating biosafety considerations in DNA storage encoding method development and suggest that randomization strategies may help mitigate potential risks. Our study provides valuable insights into the safe advancement of DNA storage technology and emphasizes the need for comprehensive biosafety evaluation in synthetic biology applications.

Biosafety and HealthVol. 7(2)
Chinese Academy of Sciences (CN), Wuhan Institute of Virology (CN), University of Chinese Academy of Sciences (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 18%
DNA and Biological Computing
1.61
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