A Synthetic Biology Approach to Transgene Expression in Insects.

IF 3.7 2区生物学 Q1 BIOCHEMICAL RESEARCH METHODS

ACS Synthetic Biology Pub Date : 2024-09-20 Epub Date: 2024-08-28 DOI:10.1021/acssynbio.4c00250

Philip T Leftwich, Jessica C Purcell, Michelle A E Anderson, Rennos Fragkoudis, Sanjay Basu, Gareth Lycett, Luke Alphey

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引用次数: 0

Abstract

The ability to control gene expression is pivotal in genetic engineering and synthetic biology. However, in most nonmodel and pest insect species, empirical evidence for predictable modulation of gene expression levels is lacking. This knowledge gap is critical for genetic control systems, particularly in mosquitoes, where transgenic methods offer novel routes for pest control. Commonly, the choice of RNA polymerase II promoter (Pol II) is the primary method for controlling gene expression, but the options are limited. To address this, we developed a systematic approach to characterize modifications in translation initiation sequences (TIS) and 3' untranslated regions (UTR) of transgenes, enabling the creation of a toolbox for gene expression modulation in mosquitoes and potentially other insects. The approach demonstrated highly predictable gene expression changes across various cell lines and 5' regulatory sequences, representing a significant advancement in mosquito synthetic biology gene expression tools.

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昆虫转基因表达的合成生物学方法。

控制基因表达的能力在基因工程和合成生物学中至关重要。然而，在大多数非模式昆虫和害虫物种中，缺乏对基因表达水平进行可预测调节的经验证据。这一知识空白对基因控制系统至关重要，特别是在蚊子中，转基因方法为害虫控制提供了新途径。通常，选择 RNA 聚合酶 II 启动子（Pol II）是控制基因表达的主要方法，但选择有限。为了解决这个问题，我们开发了一种系统的方法来描述转基因的翻译起始序列（TIS）和 3' 非翻译区（UTR）的改变，从而创建了一个工具箱，用于调节蚊子和其他潜在昆虫的基因表达。该方法在不同细胞系和 5' 调控序列中展示了高度可预测的基因表达变化，代表了蚊子合成生物学基因表达工具的重大进展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Synthetic Biology 生物-

CiteScore

8.00

自引率

10.60%

发文量

380

审稿时长

6-12 weeks

期刊介绍： The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.