利用工程化细胞分裂素调节剂合理调节植物根系发育。

IF 3.9 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Rohan Rattan, Simon Alamos, Matthew Szarzanowicz, Kasey Markel and Patrick M. Shih*, 
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引用次数: 0

摘要

实现对定量发育表型的精确控制是植物生物学的一个关键目标。合成生物学的最新进展使工具能够重新编程整个发育途径;然而,设计合成遗传程序的复杂性和各种信号过程之间的内在相互作用仍然是一个关键的挑战。在这里,我们利用b型反应调节因子来调节参与细胞分裂素依赖性生长和发育过程的基因的表达。我们合理地设计这些调节因子来调节它们的转录活性(即抑制或激活)和效力,同时降低它们对细胞分裂素的敏感性。通过使用组织特异性启动子定位这些工程转录因子的表达,我们可以预测地调整细胞分裂素调节的性状。作为原理证明,我们在拟南芥中部署了这种合成系统,以减少或增加侧根的数量。该方法的简单性和模块化使其成为控制植物农艺兴趣的其他发育表型的理想系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rational Modulation of Plant Root Development Using Engineered Cytokinin Regulators

Achieving precise control over quantitative developmental phenotypes is a key objective in plant biology. Recent advances in synthetic biology have enabled tools to reprogram entire developmental pathways; however, the complexity of designing synthetic genetic programs and the inherent interactions between various signaling processes remains a critical challenge. Here, we leverage Type-B response regulators to modulate the expression of genes involved in cytokinin-dependent growth and development processes. We rationally engineered these regulators to modulate their transcriptional activity (i.e., repression or activation) and potency while reducing their sensitivity to cytokinin. By localizing the expression of these engineered transcription factors using tissue-specific promoters, we can predictably tune cytokinin-regulated traits. As a proof of principle, we deployed this synthetic system in Arabidopsis thaliana to either decrease or increase the number of lateral roots. The simplicity and modularity of our approach makes it an ideal system for controlling other developmental phenotypes of agronomic interest in plants.

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来源期刊
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.
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