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高度精确的序列和位置无关的 DNA 合成和测序错误分析。

Highly Accurate Sequence- and Position-Independent Error Profiling of DNA Synthesis and Sequencing.

机构信息

Division of Data Science, College of Information and Communication Technology, The University of Suwon, Hwaseong 18323, Republic of Korea.

Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, South Korea.

出版信息

ACS Synth Biol. 2023 Dec 15;12(12):3567-3577. doi: 10.1021/acssynbio.3c00308. Epub 2023 Nov 14.

Abstract

A comprehensive error analysis of DNA-stored data during processing, such as DNA synthesis and sequencing, is crucial for reliable DNA data storage. Both synthesis and sequencing errors depend on the sequence and the transition of bases of nucleotides; ignoring either one of the error sources leads to technical challenges in minimizing the error rate. Here, we present a methodology and toolkit that utilizes an oligonucleotide library generated from a 10-base-shifted sequence array, which is individually labeled with unique molecular identifiers, to delineate and profile DNA synthesis and sequencing errors simultaneously. This methodology enables position- and sequence-independent error profiling of both DNA synthesis and sequencing. Using this toolkit, we report base transitional errors in both synthesis and sequencing in general DNA data storage as well as degenerate-base-augmented DNA data storage. The methodology and data presented will contribute to the development of DNA sequence designs with minimal error.

摘要

在处理过程中对 DNA 存储数据进行全面的错误分析至关重要,例如 DNA 合成和测序。合成和测序错误都取决于核苷酸的碱基序列和转换;忽略任何一个错误源都会导致在最小化错误率方面面临技术挑战。在这里,我们提出了一种方法和工具包,该方法和工具包利用从 10 个碱基移位序列阵列生成的寡核苷酸文库,该文库被单独用独特的分子标识符标记,以同时描绘和分析 DNA 合成和测序错误。该方法能够对 DNA 合成和测序进行位置和序列独立的错误分析。使用该工具包,我们报告了一般 DNA 数据存储以及简并碱基增强型 DNA 数据存储中合成和测序的碱基转换错误。所呈现的方法和数据将有助于开发具有最小错误的 DNA 序列设计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/891c/10729760/57b44fee21c9/sb3c00308_0001.jpg

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