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通过MAGE-Seq揭示的最佳密码子的RNA结构决定因素

RNA Structural Determinants of Optimal Codons Revealed by MAGE-Seq.

作者信息

Kelsic Eric D, Chung Hattie, Cohen Niv, Park Jimin, Wang Harris H, Kishony Roy

机构信息

Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; Wyss Institute for Biologically Inspired Engineering, Harvard Medical School, Boston, MA 02115, USA.

Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.

出版信息

Cell Syst. 2016 Dec 21;3(6):563-571.e6. doi: 10.1016/j.cels.2016.11.004.

Abstract

Synonymous codon choices at the beginning of genes optimize 5' RNA structures for enhanced translation initiation, but less is known about mechanisms that drive codon optimization downstream within the gene. To understand what determines codon choices across a gene, we generated 12,726 in situ codon mutants in the Escherichia coli essential gene infA and measured their fitness by combining multiplex automated genome engineering mutagenesis with amplicon deep sequencing (MAGE-seq). Correlating predicted 5' RNA structure with fitness revealed that codons even far from the start of the gene are deleterious if they disrupt the native 5' RNA conformation. These long-range structural interactions generate context-dependent rules that constrain codon choices beyond intrinsic codon preferences. Genome-wide RNA folding predictions confirm that natural codon choices far from the start codon are optimized in part to prevent disruption of native structures near the 5' UTR. Our results shed light on natural codon distributions and should improve engineering of gene expression for synthetic biology applications.

摘要

基因起始处的同义密码子选择可优化5' RNA结构,以增强翻译起始,但对于驱动基因下游密码子优化的机制了解较少。为了理解是什么决定了整个基因的密码子选择,我们在大肠杆菌必需基因infA中生成了12726个原位密码子突变体,并通过将多重自动化基因组工程诱变与扩增子深度测序(MAGE-seq)相结合来测量它们的适应性。将预测的5' RNA结构与适应性相关联发现,即使远离基因起始处的密码子,如果它们破坏了天然的5' RNA构象,也是有害的。这些长程结构相互作用产生了依赖于上下文的规则,这些规则限制了密码子选择,超出了内在的密码子偏好。全基因组RNA折叠预测证实,远离起始密码子的天然密码子选择部分是为了防止破坏5' UTR附近的天然结构而进行优化的。我们的结果揭示了天然密码子分布,并应改善合成生物学应用中基因表达的工程设计。

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