设计除草剂草甘膦的荧光生物传感器。

IF 2.6 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Protein Engineering Design & Selection Pub Date : 2020-09-14 DOI:10.1093/protein/gzaa021
Pierre-Emmanuel Y N'Guetta, Maggie M Fink, Shahir S Rizk
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引用次数: 1

摘要

草甘膦(RoundUp 的活性成分)是全球使用最广泛的除草剂,最近被证实与接触草甘膦的人患非霍奇金淋巴瘤的风险增加有关。因此,检测和监测水和土壤中的草甘膦含量对公共安全非常重要。在这里,我们描述了一种基于大肠杆菌膦酸盐结合蛋白(PhnD)的草甘膦生物传感器。在结合袋中引入突变,将 PhnD 转化为草甘膦结合蛋白。在该蛋白的铰链附近添加了一个荧光基团,以监测草甘膦的结合情况,并确定未知样品中的草甘膦浓度。由此产生的工程生物传感器可以检测自来水和用除草剂处理过的土壤样本中的草甘膦,其浓度为亚摩尔级,远远低于美国饮用水的限值。将这种生物传感器集成到设备中,可以快速、连续地监测水和土壤样本中的草甘膦。
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Engineering a fluorescence biosensor for the herbicide glyphosate.

Glyphosate, the active ingredient in RoundUp, is the most widely used herbicide on the globe, and has recently been linked to an increased risk in non-Hodgkin's lymphoma in exposed individuals. Therefore, detection and monitoring of glyphosate levels in water and soil is important for public safety. Here, we describe a biosensor for glyphosate based on an engineered Escherichia coli phosphonate-binding protein (PhnD). Mutations in the binding pocket were introduced to convert PhnD into a glyphosate-binding protein. A fluorescence group attached near the hinge of the protein was added to monitor binding of glyphosate and to determine its concentration in unknown samples. The resulting engineered biosensor can detect glyphosate in tap water and in soil samples treated with the herbicide at submicromolar concentrations, well below the limit for drinking water in the USA. Incorporating this biosensor in a device would allow rapid and continuous monitoring of glyphosate in water and soil samples.

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来源期刊
Protein Engineering Design & Selection
Protein Engineering Design & Selection 生物-生化与分子生物学
CiteScore
3.30
自引率
4.20%
发文量
14
审稿时长
6-12 weeks
期刊介绍: Protein Engineering, Design and Selection (PEDS) publishes high-quality research papers and review articles relevant to the engineering, design and selection of proteins for use in biotechnology and therapy, and for understanding the fundamental link between protein sequence, structure, dynamics, function, and evolution.
期刊最新文献
TIMED-Design: flexible and accessible protein sequence design with convolutional neural networks. Correction to: De novo design of a polycarbonate hydrolase. Interactive computational and experimental approaches improve the sensitivity of periplasmic binding protein-based nicotine biosensors for measurements in biofluids. Design of functional intrinsically disordered proteins. The shortest path method (SPM) webserver for computational enzyme design.
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