Biodegradation of aromatic pollutants meets synthetic biology

Xiang, Liang; Li, Guoqiang; Wen, Luan; Su, C.M.; Liu, Yong; Tang, Hongzhi; Dai, Junbiao

doi:10.1016/j.synbio.2021.06.001

Cited by 27 publications

(13 citation statements)

References 130 publications

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“…Synthetic biology is currently a raising and promising tool for biointelligent manufacturing. The review by Xiang et al presents the workflow to construct chassis cells for the aromatic pollutants degradation and provide a suggestion to design microbes with synthetic biology strategies in this area [ 20 ].…”

Section: Biotechnological Methods and Toolsmentioning

confidence: 99%

Editorial for “Biointelligent manufacturing in Memorium of Arnold (Arny) L. Demain”

Gao

Nielsen

2022

Synthetic and Systems Biotechnology

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Section: Biotechnological Methods and Toolsmentioning

confidence: 99%

Editorial for “Biointelligent manufacturing in Memorium of Arnold (Arny) L. Demain”

Gao

Nielsen

2022

Synthetic and Systems Biotechnology

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“…Synthetic biology applies engineering principles similar to those used in electronics to create and build synthetic organisms ( Weiss et al, 2002 ), allowing for overcoming biotechnological challenges in genetic engineering, biochemical synthesis, and biological computation ( Na et al, 2013 ; Chen et al, 2020b ; Ren et al, 2020 ; Shaker et al, 2021 ). Recent advances in synthetic biology have enabled microorganisms to scavenge and bio-degrade a wide range of hazardous compounds, including aromatic compounds ( Xiang et al, 2021 ), pesticides ( Bhatt et al, 2021 ), microplastics ( Miri et al, 2022 ), greenhouse gases ( Tran et al, 2021 ), etc. In addition, synthetically engineered microorganisms with enhanced tolerance against toxic chemicals have also been developed for better bioremediation ( Tran et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Synthetic bacteria for the detection and bioremediation of heavy metals

Thai

Lim

2023

Front. Bioeng. Biotechnol.

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Toxic heavy metal accumulation is one of anthropogenic environmental pollutions, which poses risks to human health and ecological systems. Conventional heavy metal remediation approaches rely on expensive chemical and physical processes leading to the formation and release of other toxic waste products. Instead, microbial bioremediation has gained interest as a promising and cost-effective alternative to conventional methods, but the genetic complexity of microorganisms and the lack of appropriate genetic engineering technologies have impeded the development of bioremediating microorganisms. Recently, the emerging synthetic biology opened a new avenue for microbial bioremediation research and development by addressing the challenges and providing novel tools for constructing bacteria with enhanced capabilities: rapid detection and degradation of heavy metals while enhanced tolerance to toxic heavy metals. Moreover, synthetic biology also offers new technologies to meet biosafety regulations since genetically modified microorganisms may disrupt natural ecosystems. In this review, we introduce the use of microorganisms developed based on synthetic biology technologies for the detection and detoxification of heavy metals. Additionally, this review explores the technical strategies developed to overcome the biosafety requirements associated with the use of genetically modified microorganisms.

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“…Therefore, DOI: 10.1002/advs.202304318 several synthetic modules, tools, and systems have been designed focusing on three main aspects: detection, degradation, and suicide system. [1] Whole-cell biosensors have attracted attention because of their low costs, high selectivity, and ease of manufacturing. [2] Nucleic acid-and protein-based biosensors are the two most common types that can regulate the expression of output signals by conformational alterations when binding to an input ligand; [3] for instance, there are such sensors that include the guanidine-bound S. acidophilus guanidine-I riboswitch, ArsR for arsenic detection, MerR for mercury detection, and DmpR for detecting organophosphate pesticides containing phenolic groups.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Synthetic Bacterium for Chronological Toxicant Detection, Biodegradation, and Its Subsequent Suicide

Liu,

Zhang,

Wang

et al. 2023

Advanced Science

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Modules, toolboxes, and synthetic biology systems may be designed to address environmental bioremediation. However, weak and decentralized functional modules require complex control. To address this issue, an integrated system for toxicant detection and biodegradation, and subsequent suicide in chronological order without exogenous inducers is constructed. Salicylic acid, a typical pollutant in industrial wastewater, is selected as an example to demonstrate this design. Biosensors are optimized by regulating the expression of receptors and reporters to get 2‐fold sensitivity and 6‐fold maximum output. Several stationary phase promoters are compared, and promoter Pfic is chosen to express the degradation enzyme. Two concepts for suicide circuits are developed, with the toxin/antitoxin circuit showing potent lethality. The three modules are coupled in a stepwise manner. Detection and biodegradation, and suicide are sequentially completed with partial attenuation compared to pre‐integration, except for biodegradation, being improved by the replacements of ribosome binding site. Finally, a long‐term stability test reveals that the engineered strain maintained its function for ten generations. The study provides a novel concept for integrating and controlling functional modules that can accelerate the transition of synthetic biology from conceptual to practical applications.

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Biodegradation of aromatic pollutants meets synthetic biology

Cited by 27 publications

References 130 publications

Editorial for “Biointelligent manufacturing in Memorium of Arnold (Arny) L. Demain”

Editorial for “Biointelligent manufacturing in Memorium of Arnold (Arny) L. Demain”

Synthetic bacteria for the detection and bioremediation of heavy metals

An Intelligent Synthetic Bacterium for Chronological Toxicant Detection, Biodegradation, and Its Subsequent Suicide

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