Patarasuda Chaisupa, Md Mahbubur Rahman, Sherry B Hildreth, Saede Moseley, Chauncey Gatling, Matthew R Bryant, Richard F Helm, R Clay Wright
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引用次数: 0
Abstract
Auxins are crucial signaling molecules that regulate the growth, metabolism, and behavior of various organisms, most notably plants but also bacteria, fungi, and animals. Many microbes synthesize and perceive auxins, primarily indole-3-acetic acid (IAA, referred to as auxin herein), the most prevalent natural auxin, which influences their ability to colonize plants and animals. Understanding auxin biosynthesis and signaling in fungi may allow us to better control interkingdom relationships and microbiomes from agricultural soils to the human gut. Despite this importance, a biological tool for measuring auxin with high spatial and temporal resolution has not been engineered in fungi. In this study, we present a suite of genetically encoded, ratiometric, protein-based auxin biosensors designed for the model yeast Saccharomyces cerevisiae. Inspired by auxin signaling in plants, the ratiometric nature of these biosensors enhances the precision of auxin concentration measurements by minimizing clonal and growth phase variation. We used these biosensors to measure auxin production across diverse growth conditions and phases in yeast cultures and calibrated their responses to physiologically relevant levels of auxin. Future work will aim to improve the fold change and reversibility of these biosensors. These genetically encoded auxin biosensors are valuable tools for investigating auxin biosynthesis and signaling in S. cerevisiae and potentially other yeast and fungi and will also advance quantitative functional studies of the plant auxin perception machinery, from which they are built.
辅酶是调节各种生物(主要是植物,也包括细菌、真菌和动物)生长、新陈代谢和行为的重要信号分子。许多微生物都能合成和感知辅酶,主要是吲哚-3-乙酸(IAA,本文简称为辅酶),它是最常见的天然辅酶,影响着微生物在植物和动物中的定殖能力。了解真菌中的辅酶生物合成和信号传导,可以让我们更好地控制从农业土壤到人类肠道的王国间关系和微生物群。尽管如此重要,但在真菌中还没有设计出具有高空间和时间分辨率的测量辅助素的生物工具。在这项研究中,我们展示了一套为模式酵母设计的基因编码、比率计量、基于蛋白质的辅助素生物传感器。受植物中的辅助素信号转导的启发,这些生物传感器的比率测量性质可最大限度地减少克隆和生长阶段的变化,从而提高辅助素浓度测量的精度。我们利用这些生物传感器测量了酵母培养物在不同生长条件和生长阶段的辅酶产量,并校准了它们对生理相关水平辅酶的反应。未来的工作将致力于提高这些生物传感器的折叠变化和可逆性。这些基因编码的辅助素生物传感器是研究 S. cerevisiae 以及潜在的其他酵母和真菌中辅助素生物合成和信号传导的宝贵工具,同时也将推动植物辅助素感知机制的定量功能研究,而它们正是由植物辅助素感知机制构建的。
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.