Optimized genetic circuitry and reporters for sensitive whole-cell arsenic biosensors: advancing environmental monitoring.

IF 3.7 2区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Yan Guo, Ming-Qi Liu, Xue-Qin Yang, Ying-Yan Guo, Chang-Ye Hui
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Abstract

The ubiquitous presence of arsenic pollution poses a significant threat to both ecosystem integrity and human health, necessitating the development of sensitive methods for arsenic detection. This study presents the development of innovative whole-cell biosensors that leverage the ArsR regulatory system within both naturally coupled and non-coupled genetic circuits, specifically optimized for detecting the highly toxic arsenic species (As(III)). These biosensors incorporate an indigoidine pigment as a reporting system and utilize the glycerol facilitator protein (GlpF) to enhance arsenic transport, offering a significant advantage over conventional detection methods by streamlining the detection process and eliminating the requirement for specialized instrumentation. Our findings reveal that the indigoidine-based biosensor, TOP10/pnK12-ABS-ind, in particular, exhibits an extensive linear detection range of 0.039 to 20 μM across various water matrices, effectively adhering to and exceeding the arsenic detection guidelines set by the World Health Organization and Chinese national standards. This research advances arsenic biosensing technology by developing a practical, cost-effective detection solution for arsenic in various aquatic settings. Compared to our previous work, this study demonstrates significant improvements in detection range and sensitivity while highlighting the importance of tailored genetic circuit design based on the reporter's choice.IMPORTANCEArsenic pollution poses a significant threat to global ecosystems and human health, with millions of people at risk of exposure through contaminated water sources. Detecting arsenic, especially in its highly toxic form (As(III)), is crucial for environmental monitoring and public health protection. However, conventional detection methods often require costly equipment and specialized expertise, limiting their feasibility in resource-limited regions. Our study addresses this challenge by developing whole-cell biosensors that leverage natural genetic circuits and a novel indigoidine pigment reporter. These biosensors offer a practical, cost-effective, and portable solution for arsenic detection, streamlining the process and eliminating the need for complex instrumentation. By enabling real-time monitoring and on-site analysis, our biosensors have the potential to significantly enhance environmental monitoring capabilities, facilitate timely remediation efforts, and safeguard public health in areas affected by arsenic contamination.

优化遗传电路和报告敏感的全细胞砷生物传感器:推进环境监测。
砷污染的普遍存在对生态系统的完整性和人类健康构成了重大威胁,因此有必要开发敏感的砷检测方法。本研究提出了创新的全细胞生物传感器的开发,该传感器利用自然偶联和非偶联遗传电路中的ArsR调控系统,专门针对检测高毒性砷物种(As(III))进行了优化。这些生物传感器采用靛蓝色素作为报告系统,并利用甘油促进蛋白(GlpF)来增强砷的运输,通过简化检测过程和消除对专用仪器的要求,提供了比传统检测方法显著的优势。研究结果表明,基于靛蓝胺的生物传感器TOP10/pnK12-ABS-ind在各种水基质上具有0.039 ~ 20 μM的广泛线性检测范围,有效地符合并超过了世界卫生组织和中国国家标准制定的砷检测指南。本研究通过开发一种实用的、具有成本效益的砷在各种水生环境中的检测解决方案,推进了砷生物传感技术。与我们之前的工作相比,这项研究在检测范围和灵敏度上有了显著的改进,同时强调了基于报告者选择的定制遗传电路设计的重要性。重要性砷污染对全球生态系统和人类健康构成重大威胁,数百万人面临通过受污染的水源接触砷的风险。检测砷,特别是剧毒形式的砷(砷(III)),对环境监测和公众健康保护至关重要。然而,传统的检测方法往往需要昂贵的设备和专门知识,限制了它们在资源有限地区的可行性。我们的研究通过开发利用自然遗传回路的全细胞生物传感器和一种新的靛蓝色素报告器来解决这一挑战。这些生物传感器为砷检测提供了一种实用、经济、便携的解决方案,简化了过程,消除了对复杂仪器的需求。通过实时监测和现场分析,我们的生物传感器有可能显著提高环境监测能力,促进及时补救工作,并保障受砷污染影响地区的公众健康。
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
Applied and Environmental Microbiology
Applied and Environmental Microbiology 生物-生物工程与应用微生物
CiteScore
7.70
自引率
2.30%
发文量
730
审稿时长
1.9 months
期刊介绍: Applied and Environmental Microbiology (AEM) publishes papers that make significant contributions to (a) applied microbiology, including biotechnology, protein engineering, bioremediation, and food microbiology, (b) microbial ecology, including environmental, organismic, and genomic microbiology, and (c) interdisciplinary microbiology, including invertebrate microbiology, plant microbiology, aquatic microbiology, and geomicrobiology.
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