Towards next-generation DNA encryption via an expanded genetic system
Information encryption based on DNA data archiving, referred to as DNA encryption, has been advocated for decades and has become highly appealing owing to its remarkable advantages, e.g. high storage capacity, complexity and programmability. Early DNA encryption schemes primarily leveraged the natural four-letter genetic alphabet for data storage, with message-storing DNA sequences easily decrypted by routine DNA sequencing, which is consequently vulnerable to attack and faces severe security challenges. Here, an unnatural base pair (UBP), dNaM-dTPT3, was introduced into the message and/or index DNA sequences, which can be stored either <i>in vitro</i> or <i>in vivo</i>; this approach achieved the bioorthogonal encryption of 'secret' messages, where message DNAs could be selectively, faithfully and readily retrieved or read exclusively in the presence of unnatural bases. Furthermore, a separative computational algorithm, named IM-Codec, was developed to encrypt the data into a 'key sequence' and an 'information sequence' through UBP insertion. Finally, a UBP-based multilevel DNA encryption approach was developed and validated for data encryption and decryption. The employment of the UBP expanded genetic system for data encryption should provide valuable solutions for archiving highly confidential data and thus usher in a new era of DNA encryption.
Authors
- Xiangxiang Wang (ORCID: https://orcid.org/0000-0001-9341-1068)
- Xin Hu (ORCID: https://orcid.org/0000-0001-8834-0090)
- Guanghou Zhao (ORCID: https://orcid.org/0000-0002-3818-4090)
- Honglei Wang (ORCID: https://orcid.org/0000-0002-1483-5135)
- Junbiao Dai
- Zhaohua Hou (ORCID: https://orcid.org/0000-0003-3093-0279)
- Wei Qiang (ORCID: https://orcid.org/0000-0001-7831-3478)
- Lingjun Li (ORCID: https://orcid.org/0000-0002-4722-3637)
- Xiaoluo Huang (ORCID: https://orcid.org/0009-0006-1166-6838)
- Xiaoxu Chen (ORCID: https://orcid.org/0000-0003-0872-1139)
Institutions
- Northwestern Polytechnical University (CN)
- Agricultural Genomics Institute at Shenzhen (CN)
- Synthetic Genomics (United States) (US)
- Chinese Academy of Agricultural Sciences (CN)
- Shenzhen Institutes of Advanced Technology (CN)
- Ministry of Agriculture and Rural Affairs (CN)
- Henan Normal University (CN)
Publication Details
- Journal
- National Science Review
- Published
- 2024-12-23
- DOI
- https://doi.org/10.1093/nsr/nwae469
- Citations
- 5
- Primary Topic
- DNA and Biological Computing
- Type
- article
- Field-Weighted Citation Impact
- 1.17
Funders
- National Natural Science Foundation of China
- Chinese Academy of Agricultural Sciences
- National Key Research and Development Program of China
- Shenzhen Science and Technology Innovation Program