DNA Data Storage Architecture via Ligation of Dynamic DNA Bytes

IF 8.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Small Methods Pub Date : 2026-07-10 Epub Date: 2026-03-31 DOI:10.1002/smtd.202502001
Lijia Jia, Yue Shi, Jing Yang, Shangzhe Li, Wenjing Yang, Wei Li, Mancang Zhang, Quanshun Li, Yifei Zhang, Xiaolin Wang, Lin Li, Bo Duan, Dongbo Bu, Fei Chen, Haizhou Liu, Huaiyi Yang, Yongyong Shi, Di Liu
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Abstract

The explosive growth of digital data is overwhelming conventional storage media, creating an urgent need for more efficient solutions. DNA, with its ultra-high density and long-term stability, emerges as a promising medium; however, most current implementations remain static and archival, limiting practical utility. To address this limitation, a modular DNA data storage system built upon dynamic DNA bytes (DynaBytes)—pre-fabricated DNA segments that can be ligated into reconfigurable information units—is presented. Within this DynaByte system, core, functional, and control DynaBytes are organized to implement a molecular file system, enabling the storage of 210,776 bits (26,347 bytes) of digital information with demonstrated CRUD (Create-Read-Update-Delete)-like operations, hierarchical access, and nanopore-based real-time retrieval. Robust data recovery is achieved under ∼100x error-prone sequencing through streamlined error correction and fuzzy decoding. By relying on in vitro ligation of standardized components, the DynaByte system reduces cost, scales efficiently, and supports interactive, rewritable data storage. These features advance DNA storage beyond passive archiving toward a reconfigurable framework, opening new possibilities for dynamic, practical, and large-scale DNA-based data systems.

Abstract Image

基于动态DNA字节连接的DNA数据存储架构。
数字数据的爆炸式增长压倒了传统存储介质,迫切需要更高效的解决方案。DNA以其超高的密度和长期的稳定性,成为一种很有前途的介质;然而,大多数当前的实现仍然是静态的和存档的,限制了实际的效用。为了解决这一限制,提出了一种基于动态DNA字节(DynaBytes)的模块化DNA数据存储系统-可以连接到可重构信息单元的预制DNA片段。在这个DynaByte系统中,核心、功能和控制DynaByte被组织起来实现一个分子文件系统,能够存储210,776位(26,347字节)的数字信息,具有演示的CRUD(创建-读取-更新-删除)操作、分层访问和基于纳米孔的实时检索。通过流线型纠错和模糊解码,在100倍易出错序列下实现稳健的数据恢复。通过标准化组件的体外连接,DynaByte系统降低了成本,有效地扩展,并支持交互式、可重写的数据存储。这些特性将DNA存储从被动存档推进到可重构框架,为动态、实用和大规模的基于DNA的数据系统开辟了新的可能性。
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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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