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开源密码子优化工具的探索性计算机比较。

An exploratory in silico comparison of open-source codon harmonization tools.

机构信息

Centre for Industrial Biotechnology and Biocatalysis (InBio.be), Department of Biotechnology, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, Ghent, 9000, Belgium.

出版信息

Microb Cell Fact. 2023 Nov 6;22(1):227. doi: 10.1186/s12934-023-02230-y.

Abstract

BACKGROUND

Not changing the native constitution of genes prior to their expression by a heterologous host can affect the amount of proteins synthesized as well as their folding, hampering their activity and even cell viability. Over the past decades, several strategies have been developed to optimize the translation of heterologous genes by accommodating the difference in codon usage between species. While there have been a handful of studies assessing various codon optimization strategies, to the best of our knowledge, no research has been performed towards the evaluation and comparison of codon harmonization algorithms. To highlight their importance and encourage meaningful discussion, we compared different open-source codon harmonization tools pertaining to their in silico performance, and we investigated the influence of different gene-specific factors.

RESULTS

In total, 27 genes were harmonized with four tools toward two different heterologous hosts. The difference in %MinMax values between the harmonized and the original sequences was calculated (ΔMinMax), and statistical analysis of the obtained results was carried out. It became clear that not all tools perform similarly, and the choice of tool should depend on the intended application. Almost all biological factors under investigation (GC content, RNA secondary structures and choice of heterologous host) had a significant influence on the harmonization results and thus must be taken into account. These findings were substantiated using a validation dataset consisting of 8 strategically chosen genes.

CONCLUSIONS

Due to the size of the dataset, no complex models could be developed. However, this initial study showcases significant differences between the results of various codon harmonization tools. Although more elaborate investigation is needed, it is clear that biological factors such as GC content, RNA secondary structures and heterologous hosts must be taken into account when selecting the codon harmonization tool.

摘要

背景

在异源宿主表达基因之前不改变其固有基因组成会影响蛋白质的合成量及其折叠,从而影响其活性甚至细胞活力。在过去的几十年中,已经开发了几种策略来优化异源基因的翻译,以适应物种间密码子使用的差异。虽然已经有一些研究评估了各种密码子优化策略,但据我们所知,还没有针对密码子协调算法的评估和比较进行研究。为了强调它们的重要性并鼓励有意义的讨论,我们比较了不同的开源密码子协调工具在其计算机性能方面的表现,并研究了不同基因特异性因素的影响。

结果

总共用四个工具将 27 个基因协调为两种不同的异源宿主。计算了协调前后序列的%MinMax 值之间的差异(ΔMinMax),并对获得的结果进行了统计分析。结果表明,并非所有工具的性能都相同,工具的选择应取决于预期的应用。几乎所有研究的生物学因素(GC 含量、RNA 二级结构和异源宿主的选择)对协调结果有显著影响,因此必须加以考虑。这些发现使用由 8 个经过精心挑选的基因组成的验证数据集得到了证实。

结论

由于数据集的大小,无法开发复杂的模型。然而,这项初步研究展示了各种密码子协调工具之间的显著差异。尽管需要更详细的调查,但很明显,在选择密码子协调工具时,必须考虑 GC 含量、RNA 二级结构和异源宿主等生物学因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b47f/10626681/7767b7aa6c3d/12934_2023_2230_Fig1_HTML.jpg

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