Hejazi Sepehr, Ahsan Afrin, Kashani SeyedMohammad, Tameiv Denis, Reuel Nigel F
Chemical and Biological Engineering, Iowa State University, Ames, IA, United States of America.
Electrical and Computer Engineering, Iowa State University, Ames, IA, United States of America.
PLoS One. 2024 Dec 3;19(12):e0305457. doi: 10.1371/journal.pone.0305457. eCollection 2024.
In this work, Oxford Nanopore sequencing is tested as an accessible method for quantifying heterogeneity of amplified DNA. This method enables rapid quantification of deletions, insertions, and substitutions, the probability of each mutation error, and their locations in the replicated sequences. Amplification techniques tested were conventional polymerase chain reaction (PCR) with varying levels of polymerase fidelity (OneTaq, Phusion, and Q5) as well as rolling circle amplification (RCA) with Phi29 polymerase. Plasmid amplification using bacteria was also assessed. By analyzing the distribution of errors in a large set of sequences for each sample, we examined the heterogeneity and mode of errors in each sample. This analysis revealed that Q5 and Phusion polymerases exhibited the lowest error rates observed in the amplified DNA. As a secondary validation, we analyzed the emission spectra of sfGFP fluorescent proteins synthesized with amplified DNA using cell free expression. Error-prone polymerase chain reactions confirmed the dependency of reporter protein emission spectra peak broadness to DNA error rates. The presented nanopore sequencing methods serve as a roadmap to quantify the accuracy of other gene amplification techniques, as they are discovered, enabling more homogenous cell-free expression of desired proteins.
在这项工作中,牛津纳米孔测序作为一种可用于量化扩增DNA异质性的方法进行了测试。该方法能够快速量化缺失、插入和替换、每个突变错误的概率及其在复制序列中的位置。所测试的扩增技术包括具有不同聚合酶保真度水平的传统聚合酶链反应(PCR)(OneTaq、Phusion和Q5)以及使用Phi29聚合酶的滚环扩增(RCA)。还评估了使用细菌进行质粒扩增。通过分析每个样本大量序列中的错误分布,我们研究了每个样本中错误的异质性和模式。该分析表明,Q5和Phusion聚合酶在扩增DNA中表现出最低的错误率。作为二次验证,我们使用无细胞表达分析了用扩增DNA合成的sfGFP荧光蛋白的发射光谱。易错聚合酶链反应证实了报告蛋白发射光谱峰宽对DNA错误率的依赖性。所提出的纳米孔测序方法为量化其他基因扩增技术的准确性提供了路线图,随着这些技术的发现,能够实现所需蛋白质更均匀的无细胞表达。