摘要
随着计算机技术的发展,数字化信息存储改变了我们的生活。信息正在以越来越快的速度产生着,但与此伴生的,是如何有效存储数据的问题。诸如磁盘、硬盘、闪存等磁学或光学等传统存储介质已经逐渐不能满足全世界范围内数据存储的需要。DNA分子凭借其稳定性、高存储密度和低维护成本,有望成为实用的新型信息存储介质。本文首先介绍了利用DNA分子进行数据存储的工作流程,继而介绍了DNA数据存储领域的研究历史和研究进展,包括存储方式、读取方式、编码方式等。为实现DNA信息存储,通过信息编码将二进制信息转换成DNA序列信息;DNA合成实现信息写入;最后通过基因测序获取序列信息,进而进行信息解码得到原始信息。而现代分子生物学技术的发展,尤其是DNA合成和测序技术的飞跃,使DNA分子大规模存储人工数据逐渐成为现实。之后,对比了DNA分子相对于传统数据存储介质的优劣,介绍了基于DNA分子的数据存储的风险与挑战,如数据安全性、信息读写的速度和成本等。最后,对DNA数据存储领域未来研究的方向进行了展望,介绍了一些与该领域具备交叉潜力的新兴生物技术领域,如“DNA条形码”“DNA折纸”。
With the development of information technology,the approach of digital information storage has gone through unprecedented changes.Traditional storage media such as magnetic and optical devices have gradually fallen short to satisfy the global need for data storage,which calls for storage media with more effective data storage.The extraordinary stability,storage capacity,and storage density of DNA molecules promise it to become a novel information storage medium.In this review,we first introduce the basic principles and processes of using DNA molecules to store artificial information,and highlight the latest research results of DNA storage during the past few years.Next,we compare DNA molecules with current mainstream data storage media in terms of performance and cost.DNA molecules excel in data storage density,storage life,maintenance cost and its potential involvement with living cells.Finally,we provide a detailed review of factors that curb the development of DNA information storage,such as data security,writing and reading speeds and storage cost.Meanwhile,we briefly give comments on emerging biotechnological areas that potentially bring breakthroughs to the field of DNA storage,such as DNA barcoding and DNA origami.Perceivably,information storage with DNA molecules provide a novel solution to cold data storage.However,we would not refrain from the optimistic conjecture that multidisciplinary principles and techniques will continuously expand the application scenarios for DNA information storage.
作者
董一名
孙法家
武瑞君
钱珑
DONG Yiming;SUN Fajia;WU Ruijun;QIAN Long(Center for Quantitative Biology,Peking University,Beijing 100871,China;Division of Strategy and Policy,China National Center for Biotechnology Development,Beijing 100039,China)
出处
《合成生物学》
CSCD
2021年第3期323-334,共12页
Synthetic Biology Journal
基金
国家自然科学基金(31901063)
国家重点研发计划“合成生物学”重点专项(2020YFA0906900)。