Department of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.
Fralin Life Sciences Institute, Virginia Tech, Blacksburg, Virginia 24061, United States.
ACS Synth Biol. 2024 Sep 20;13(9):2804-2819. doi: 10.1021/acssynbio.4c00186. Epub 2024 Aug 28.
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 . 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 and potentially other yeast and fungi and will also advance quantitative functional studies of the plant auxin perception machinery, from which they are built.
植物激素是调控各种生物体生长、代谢和行为的关键信号分子,尤其是植物,但细菌、真菌和动物也会合成和感知植物激素。许多微生物会合成和感知植物激素,主要是吲哚-3-乙酸(IAA,本文中称为植物激素),这是最常见的天然植物激素,它影响着它们在植物和动物体内定殖的能力。了解真菌中的植物激素生物合成和信号转导,可能有助于我们更好地控制从农业土壤到人类肠道等不同生物群落之间的关系和微生物组。尽管如此,真菌中还没有用于测量植物激素的高时空分辨率的生物工具。在本研究中,我们设计了一套基于基因编码、比率、基于蛋白质的真菌生长素生物传感器,用于模式酵母。受植物中生长素信号转导的启发,这些生物传感器的比率特性通过最小化克隆和生长阶段的变化,提高了生长素浓度测量的精度。我们使用这些生物传感器测量了酵母培养物在不同生长条件和阶段的生长素产生情况,并对其响应进行了生理相关水平的生长素校准。未来的工作将旨在提高这些生物传感器的变化倍数和可逆性。这些基因编码的生长素生物传感器是研究酵母中生长素生物合成和信号转导的有价值的工具,并且可能对其他酵母和真菌的生长素感知机制的定量功能研究也具有重要意义,这些机制是基于它们构建的。