A gas reporting whole-cell microbial biosensor system for rapid on-site detection of mercury contamination in soils

Liu, Yanger; Guo, Mingzhang; Du, Ruoxi; Chi, Jiani; He, Xiaoyun; Xie, Zixin; Huang, Kunlun; Luo, Yunbo; Xu, Wentao

doi:10.1016/j.bios.2020.112660

Cited by 21 publications

(7 citation statements)

References 29 publications

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“…Interestingly, the differences between ARHDs and CatA were observed only at the coexistence of Cd and Phe, where CatA is a large catalytic subunit in terminal oxygenases that affects substrate specificity. Likewise, ARHDs is an aromatic cyclo‐dioxygenase with a Rieske [2Fe‐2S] centre that catalyses the initial reaction in the bacterial degradation of a range of compounds, including PAHs (Liu et al, 2020). Moreover, we analysed the metabolites of Phe in strain PAH02 (Figure S3A, B).…”

Section: Resultsmentioning

confidence: 99%

Metagenomic and proteomic insights into the self‐adaptive cell surface hydrophobicity of Sphingomonas sp. strain PAH02 reducing the migration of cadmium‐phenanthrene co‐pollutant in rice

Yi,

Zhu,

et al. 2024

Environmental Microbiology

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Cell surface hydrophobicity (CSH) dominates the interactions between rhizobacteria and pollutants at the soil‐water interface, which is critical for understanding the dissipation of pollutants in the rhizosphere microzone of rice. Herein, we explored the effects of self‐adaptive CSH of Sphingomonas sp. strain PAH02 on the translocation and biotransformation behaviour of cadmium‐phenanthrene (Cd‐Phe) co‐pollutant in rice and rhizosphere microbiome. We evidenced that strain PAH02 reduced the adsorption of Cd‐Phe co‐pollutant on the rice root surface while enhancing the degradation of Phe and adsorption of Cd via its self‐adaptive CSH in the hydroponic experiment. The significant upregulation of key protein expression levels such as MerR, ARHDs and enoyl‐CoA hydratase/isomerase, ensures self‐adaptive CSH to cope with the stress of Cd‐Phe co‐pollutant. Consistently, the bioaugmentation of strain PAH02 promoted the formation of core microbiota in the rhizosphere soil of rice (Oryza sativa L.), such as Bradyrhizobium and Streptomyces and induced gene enrichment of CusA and PobA that are strongly associated with pollutant transformation. Consequently, the contents of Cd and Phe in rice grains at maturity decreased by 17.2% ± 0.2% and 65.7% ± 0.3%, respectively, after the bioaugmentation of strain PAH02. These findings present new opportunities for the implementation of rhizosphere bioremediation strategies of co‐contaminants in paddy fields.

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Section: Resultsmentioning

confidence: 99%

Metagenomic and proteomic insights into the self‐adaptive cell surface hydrophobicity of Sphingomonas sp. strain PAH02 reducing the migration of cadmium‐phenanthrene co‐pollutant in rice

Yi,

Zhu,

et al. 2024

Environmental Microbiology

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“…Our mercury sensor was adapted from the work by Grawe et al and uses the MerR transcription factor and operon promoter sequences derived from Shigella flexneri . MerR is a transcriptional activator that initiates gene expression in the presence of Hg +2 and has previously been used to develop cell-based sensors to detect Hg +2 in soil, cosmetics, and complex environmental samples, , as well as cell-free sensors to detect Hg +2 in water. , For the sensor described here, we build upon this work by separating the merR activator gene and sfGFP reporter gene onto separate DNA templates and optimizing their relative concentrations (Figure A). The merR activator gene was expressed off a PCR amplicon under the regulation of a constitutive promoter.…”

Section: Resultsmentioning

confidence: 99%

Optimization of Heavy Metal Sensors Based on Transcription Factors and Cell-Free Expression Systems

et al. 2021

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Many bacterial mechanisms for highly specific and sensitive detection of heavy metals and other hazards have been reengineered to serve as sensors. In some cases, these sensors have been implemented in cell-free expression systems, enabling easier design optimization and deployment in low-resource settings through lyophilization. Here, we apply the advantages of cell-free expression systems to optimize sensors based on three separate bacterial response mechanisms for arsenic, cadmium, and mercury. We achieved detection limits below the World Health Organization-recommended levels for arsenic and mercury and below the short-term US Military Exposure Guideline levels for all three. The optimization of each sensor was approached differently, leading to observations useful for the development of future sensors: (1) there can be a strong dependence of specificity on the particular cell-free expression system used, (2) tuning of relative concentrations of the sensing and reporter elements improves sensitivity, and (3) sensor performance can vary significantly with linear vs plasmid DNA. In addition, we show that simply combining DNA for the three sensors into a single reaction enables detection of each target heavy metal without any further optimization. This combined approach could lead to sensors that detect a range of hazards at once, such as a panel of water contaminants or all known variants of a target virus. For low-resource settings, such "all-hazard" sensors in a cheap, easy-to-use format could have high utility.

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“…Similar to the design for heavy metals detection in environmental monitoring, microbial whole-cell biosensors detect concentrations based on the genetic elements that respond to chemical species. Their effectiveness is determined by the regulatory protein types connected with these promoters, as well as the reporter genes for transcriptional pollutants control [ 101 , 102 ]. A reporter gene in living cells (i.e., microorganisms) is employed as a sensor to convert its biological response into detectable physicochemical signals.…”

Section: Application Of Biosensor To Environmental Monitoringmentioning

confidence: 99%

A review of biosensor for environmental monitoring: principle, application, and corresponding achievement of sustainable development goals

Huang

Lin

et al. 2023

Bioengineered

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Human health/socioeconomic development is closely correlated to environmental pollution, highlighting the need to monitor contaminants in the real environment with reliable devices such as biosensors. Recently, variety of biosensors gained high attention and employed as in-situ application, in real-time, and cost-effective analytical tools for healthy environment. For continuous environmental monitoring, it is necessary for portable, cost-effective, quick, and flexible biosensing devices. These benefits of the biosensor strategy are related to the Sustainable Development Goals (SDGs) established by the United Nations (UN), especially with reference to clean water and sources of energy. However, the relationship between SDGs and biosensor application for environmental monitoring is not well understood. In addition, some limitations and challenges might hinder the biosensor application on environmental monitoring. Herein, we reviewed the different types of biosensors, principle and applications, and their correlation with SDG 6, 12, 13, 14, and 15 as a reference for related authorities and administrators to consider. In this review, biosensors for different pollutants such as heavy metals and organics were documented. The present study highlights the application of biosensor for achieving SDGs. Current advantages and future research aspects are summarized in this paper. Abbreviations: ATP: Adenosine triphosphate; BOD: Biological oxygen demand; COD: Chemical oxygen demand; Cu-TCPP: Cu-porphyrin; DNA: Deoxyribonucleic acid; EDCs: Endocrine disrupting chemicals; EPA: U.S. Environmental Protection Agency; Fc-HPNs: Ferrocene (Fc)-based hollow polymeric nanospheres; Fe 3 O 4 @3D-GO: Fe 3 O 4 @three-dimensional graphene oxide; GC: Gas chromatography; GCE: Glassy carbon electrode; GFP: Green fluorescent protein; GHGs: Greenhouse gases; HPLC: High performance liquid chromatography; ICP-MS: Inductively coupled plasma mass spectrometry; ITO: Indium tin oxide; LAS: Linear alkylbenzene sulfonate; LIG : Laser-induced graphene; LOD: Limit of detection; ME: Magnetoelastic; MFC: Microbial fuel cell; MIP: Molecular imprinting polymers; MWCNT: Multi-walled carbon nanotube; MXC: Microbial electrochemical cell-based; NA: Nucleic acid; OBP: Odorant binding protein; OPs: Organophosphorus; PAHs: Polycyclic aromatic hydrocarbons; PBBs: Polybrominated biphenyls; PBDEs: Polybrominated diphenyl ethers; PCBs: Polychlorinated biphenyls; PGE: Polycrystalline gold electrode; photoMFC: photosynthetic MFC; POPs: Persistent organic pollutants; rGO: Reduced graphene oxide; RNA : Ribonucleic acid; SDGs: Sustainable Development Goals; SERS: Surface enhancement Raman spectrum; SPGE: Screen-printed gold electrode; SPR: Surface plasmon resonance; SWCNTs: single-walled carbon nanotubes; TCPP: Tetrakis (4-carboxyphenyl) porphyrin; TIRF: Total interna...

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A gas reporting whole-cell microbial biosensor system for rapid on-site detection of mercury contamination in soils

Cited by 21 publications

References 29 publications

Metagenomic and proteomic insights into the self‐adaptive cell surface hydrophobicity of Sphingomonas sp. strain PAH02 reducing the migration of cadmium‐phenanthrene co‐pollutant in rice

Metagenomic and proteomic insights into the self‐adaptive cell surface hydrophobicity of Sphingomonas sp. strain PAH02 reducing the migration of cadmium‐phenanthrene co‐pollutant in rice

Optimization of Heavy Metal Sensors Based on Transcription Factors and Cell-Free Expression Systems

A review of biosensor for environmental monitoring: principle, application, and corresponding achievement of sustainable development goals

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