Biotechnology advances最新文献_第5页

Exploring the landscape of FRET-based molecular sensors: Design strategies and recent advances in emerging applications 探索基于 FRET 的分子传感器：新兴应用领域的设计策略和最新进展。

IF 12.1 1区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biotechnology advances

Pub Date : 2024-10-16 DOI: 10.1016/j.biotechadv.2024.108466

Neha Soleja, Mohd. Mohsin

Probing biological processes in living organisms that could provide one-of-a-kind insights into real-time alterations of significant physiological parameters is a formidable task that calls for specialized analytic devices. Classical biochemical methods have significantly aided our understanding of the mechanisms that regulate essential biological processes. These methods, however, are typically insufficient for investigating transient molecular events since they focus primarily on the end outcome. Fluorescence resonance energy transfer (FRET) microscopy is a potent tool used for exploring non-invasively real-time dynamic interactions between proteins and a variety of biochemical signaling events using sensors that have been meticulously constructed. Due to their versatility, FRET-based sensors have enabled the rapid and standardized assessment of a large array of biological variables, facilitating both high-throughput research and precise subcellular measurements with exceptional temporal and spatial resolution. This review commences with a brief introduction to FRET theory and a discussion of the fluorescent molecules that can serve as tags in different sensing modalities for studies in chemical biology, followed by an outlining of the imaging techniques currently utilized to quantify FRET highlighting their strengths and shortcomings. The article also discusses the various donor-acceptor combinations that can be utilized to construct FRET scaffolds. Specifically, the review provides insights into the latest real-time bioimaging applications of FRET-based sensors and discusses the common architectures of such devices. There has also been discussion of FRET systems with multiplexing capabilities and multi-step FRET protocols for use in dual/multi-analyte detections. Future research directions in this exciting field are also mentioned, along with the obstacles and opportunities that lie ahead.

探测生物体内的生物过程是一项艰巨的任务，需要专门的分析设备才能对重要生理参数的实时变化提供独到的见解。经典的生物化学方法极大地帮助了我们对重要生物过程调控机制的理解。然而，这些方法通常不足以研究瞬时分子事件，因为它们主要关注的是最终结果。荧光共振能量转移（FRET）显微镜是一种有效的工具，可利用精心构建的传感器，非侵入式地探索蛋白质之间的实时动态相互作用和各种生化信号事件。由于其多功能性，基于 FRET 的传感器能够对大量生物变量进行快速、标准化的评估，促进了高通量研究和具有卓越时空分辨率的精确亚细胞测量。这篇综述首先简要介绍了 FRET 理论，讨论了在化学生物学研究的不同传感模式中可用作标记的荧光分子，然后概述了目前用于量化 FRET 的成像技术，重点介绍了这些技术的优势和不足。文章还讨论了可用于构建 FRET 支架的各种供体-受体组合。具体来说，这篇综述深入介绍了基于 FRET 的传感器的最新实时生物成像应用，并讨论了此类设备的常见架构。此外，还讨论了具有复用功能的 FRET 系统和用于双/多分析物检测的多步骤 FRET 协议。此外，还提到了这一令人兴奋的领域未来的研究方向，以及面临的障碍和机遇。

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引用次数: 0

An overview of biomethanation and the use of membrane technologies as a candidate to overcome H2 mass transfer limitations 生物甲烷化概述和膜技术作为克服 H2 传质限制的候选技术的使用

IF 12.1 1区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biotechnology advances

Pub Date : 2024-10-14 DOI: 10.1016/j.biotechadv.2024.108465

Manuel Fachal-Suárez , Santhana Krishnan , Sumate Chaiprapat , Daniel González , David Gabriel

Energy produced from renewable sources such as sun or wind are intermittent, depending on circumstantial factors. This fact explains why energy supply and demand do not match. In this context, the interest in biomethanation has increased as an interesting contribution to the Power-to-gas concept (P2G), transforming the extra amount of produced electricity into methane (CH₄). The reaction between green hydrogen (H₂) (produced by electrolysis) and CO₂ (pollutant present in biogas) can be catalysed by different microorganisms to produce biomethane, that can be injected into existing natural gas grid if reaching the standards. Thus, energy storage for both hydrogen and electricity, as well as transportation problems would be solved. However, H₂ diffusion to the liquid phase for its further biological conversion is the main bottleneck due to the low solubility of H₂. This review includes the state-of-the-art in biological hydrogenotrophic methanation (BHM) and membrane-based technologies. Specifically, the use of hollow-fiber membrane bioreactors as a technology to overcome H₂ diffusion limitations is reviewed. Furthermore, the influence of operating conditions, microbiology, H₂ diffusion and H₂ injection methods are critically discussed before setting the main recommendations about BHM.

太阳或风能等可再生能源产生的能源是间歇性的，取决于环境因素。这就是能源供需不匹配的原因所在。在这种情况下，人们对生物甲烷化的兴趣与日俱增，因为它是 "电转气 "概念（P2G）的一个有趣贡献，可将额外生产的电力转化为甲烷（CH4）。绿色氢气（H2）（由电解产生）和二氧化碳（沼气中的污染物）之间的反应可由不同的微生物催化产生生物甲烷，如果达到标准，可注入现有的天然气网。这样，氢气和电力的储能以及运输问题都将得到解决。然而，由于 H2 的溶解度低，H2 扩散到液相进行进一步生物转化是主要瓶颈。本综述包括生物养氢甲烷化（BHM）和膜技术的最新进展。具体而言，综述了使用中空纤维膜生物反应器作为克服 H2 扩散限制的技术。此外，在提出有关 BHM 的主要建议之前，还批判性地讨论了操作条件、微生物学、H2 扩散和 H2 注入方法的影响。

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引用次数: 0

The current progress of tandem chemical and biological plastic upcycling 目前化学和生物串联塑料升级再循环技术的进展情况

IF 12.1 1区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biotechnology advances

Pub Date : 2024-10-10 DOI: 10.1016/j.biotechadv.2024.108462

Yifeng Hu , Yuxin Tian , Chenghao Zou , Tae Seok Moon

Each year, millions of tons of plastics are produced for use in such applications as packaging, construction, and textiles. While plastic is undeniably useful and convenient, its environmental fate and transport have raised growing concerns about waste and pollution. However, the ease and low cost of producing virgin plastic have so far made conventional plastic recycling economically unattractive. Common contaminants in plastic waste and shortcomings of the recycling processes themselves typically mean that recycled plastic products are of relatively low quality in some cases. The high cost and high energy requirements of typical recycling operations also reduce their economic benefits. In recent years, the bio-upcycling of chemically treated plastic waste has emerged as a promising alternative to conventional plastic recycling. Unlike recycling, bio-upcycling uses relatively mild process conditions to economically transform pretreated plastic waste into value-added products. In this review, we first provide a précis of the general methodology and limits of conventional plastic recycling. Then, we review recent advances in hybrid chemical/biological upcycling methods for different plastics, including polyethylene terephthalate, polyurethane, polyamide, polycarbonate, polyethylene, polypropylene, polystyrene, and polyvinyl chloride. For each kind of plastic, we summarize both the pretreatment methods for making the plastic bio-available and the microbial chassis for degrading or converting the treated plastic waste to value-added products. We also discuss both the limitations of upcycling processes for major plastics and their potential for bio-upcycling.

每年都有数百万吨塑料被生产出来，用于包装、建筑和纺织等领域。虽然塑料的实用性和便利性毋庸置疑，但其对环境的影响以及运输过程中的浪费和污染问题却日益引起人们的关注。然而，由于原生塑料易于生产且成本低廉，迄今为止，传统的塑料回收在经济上并不具有吸引力。塑料废弃物中常见的污染物和回收工艺本身的缺陷通常意味着回收的塑料产品在某些情况下质量相对较低。典型的回收操作成本高、能耗大，也降低了其经济效益。近年来，对经过化学处理的塑料废弃物进行生物升级再循环已成为替代传统塑料回收利用的一种很有前途的方法。与回收不同的是，生物升级再循环利用相对温和的工艺条件，以经济的方式将预处理过的塑料废弃物转化为高附加值产品。在本综述中，我们首先简要介绍了传统塑料回收的一般方法和局限性。然后，我们回顾了针对不同塑料（包括聚对苯二甲酸乙二酯、聚氨酯、聚酰胺、聚碳酸酯、聚乙烯、聚丙烯、聚苯乙烯和聚氯乙烯）的化学/生物混合升级再循环方法的最新进展。对于每种塑料，我们都总结了使塑料具有生物可利用性的预处理方法，以及降解或将处理后的塑料废物转化为高附加值产品的微生物底盘。我们还讨论了主要塑料升级再循环工艺的局限性及其生物升级再循环的潜力。

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引用次数: 0

From lignocellulosic biomass to single cell oil for sustainable biomanufacturing: Current advances and prospects 从木质纤维素生物质到用于可持续生物制造的单细胞油：当前进展与前景。

IF 12.1 1区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biotechnology advances

Pub Date : 2024-10-09 DOI: 10.1016/j.biotechadv.2024.108460

Yu Duan , Limei Chen , Longxue Ma , Farrukh Raza Amin , Yida Zhai , Guofu Chen , Demao Li

As global temperatures rise and arid climates intensify, the reserves of Earth's resources and the future development of humankind are under unprecedented pressure. Traditional methods of food production are increasingly inadequate in meeting the demands of human life while remaining environmentally sustainable and resource-efficient. Consequently, the sustainable supply of lipids is expected to become a pivotal area for future food development. Lignocellulose biomass (LB), as the most abundant and cost-effective renewable resource, has garnered significant attention from researchers worldwide. Thus, bioprocessing based on LB is appearing as a sustainable model for mitigating the depletion of energy reserves and reducing carbon footprints. Currently, the transformation of LB primarily focuses on producing biofuels, such as bioethanol, biobutanol, and biodiesel, to address the energy crisis. However, there are limited reports on the production of single cell oil (SCO) from LB. This review, therefore, provides a comprehensive summary of the research progress in lignocellulosic pretreatment. Subsequently, it describes how the capability for lignocellulosic use can be conferred to cells through genetic engineering. Additionally, the current status of saccharification and fermentation of LB is outlined. The article also highlights the advances in synthetic biology aimed at driving the development of oil-producing microorganism (OPM), including genetic transformation, chassis modification, and metabolic pathway optimization. Finally, the limitations currently faced in SCO production from straw are discussed, and future directions for achieving high SCO yields from various perspectives are proposed. This review aims to provide a valuable reference for the industrial application of green SCO production.

随着全球气温的升高和干旱气候的加剧，地球资源的储备和人类未来的发展面临着前所未有的压力。传统的粮食生产方式越来越无法在满足人类生活需求的同时保持环境可持续性和资源效率。因此，脂质的可持续供应有望成为未来粮食发展的一个关键领域。木质纤维素生物质（LB）作为最丰富、最具成本效益的可再生资源，已引起全球研究人员的极大关注。因此，基于木质纤维素的生物加工正在成为缓解能源储备枯竭和减少碳足迹的可持续模式。目前，枸杞的转化主要集中在生产生物燃料，如生物乙醇、生物丁醇和生物柴油，以应对能源危机。然而，有关从枸杞中生产单细胞油（SCO）的报道却很有限。因此，本综述全面总结了木质纤维素预处理的研究进展。随后，它介绍了如何通过基因工程赋予细胞利用木质纤维素的能力。此外，文章还概述了枸杞糖化和发酵的现状。文章还重点介绍了旨在推动产油微生物（OPM）发展的合成生物学进展，包括基因转化、底盘改造和代谢途径优化。最后，讨论了目前利用秸秆生产 SCO 所面临的限制，并从不同角度提出了实现 SCO 高产的未来方向。本综述旨在为绿色 SCO 生产的工业应用提供有价值的参考。

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引用次数: 0

The new chassis in the flask: Advances in Vibrio natriegens biotechnology research 烧瓶中的新底盘：天然弧菌生物技术研究进展。

IF 12.1 1区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biotechnology advances

Pub Date : 2024-10-09 DOI: 10.1016/j.biotechadv.2024.108464

Matthew Lima , Charandatta Muddana , Zhengyang Xiao , Anindita Bandyopadhyay , Pramod P. Wangikar , Himadri B. Pakrasi , Yinjie J. Tang

Biotechnology has been built on the foundation of a small handful of well characterized and well-engineered organisms. Recent years have seen a breakout performer gain attention as a new entrant into the bioengineering toolbox: Vibrio natriegens. This review covers recent research efforts into making V. natriegens a biotechnology platform, using a large language model (LLM) and knowledge graph to expedite the literature survey process. Scientists have made advancements in research pertaining to the fundamental metabolic characteristics of V. natriegens, development and characterization of synthetic biology tools, systems biology analysis and metabolic modeling, bioproduction and metabolic engineering, and microbial ecology. Each of these subcategories has relevance to the future of V. natriegens for bioengineering applications. In this review, we cover these recent advancements and offer context for the impact they may have on the field, highlighting benefits and drawbacks of using this organism. From examining the recent bioengineering research, it appears that V. natriegens is on the precipice of becoming a platform bacterium for the future of biotechnology.

生物技术一直是建立在少数特征鲜明、工程技术完善的生物体基础之上的。近年来，生物工程工具箱中出现了一种新的生物，它的表现备受瞩目：纳氏弧菌。本综述介绍了将纳氏弧菌打造成生物技术平台的最新研究成果，其中使用了大型语言模型（LLM）和知识图谱来加快文献调查过程。科学家们在与 V. natriegens 的基本代谢特征、合成生物学工具的开发和特征描述、系统生物学分析和代谢建模、生物生产和代谢工程以及微生物生态学有关的研究方面取得了进展。这些子类别中的每一个都与未来 V. natriegens 在生物工程方面的应用有关。在这篇综述中，我们将介绍这些最新进展，并就它们可能对该领域产生的影响提供背景资料，同时强调使用这种生物体的好处和缺点。从最近的生物工程研究来看，V. natriegens 即将成为未来生物技术的平台菌。

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引用次数: 0

Design and application of microfluidics in aptamer SELEX and Aptasensors 微流控技术在适配体 SELEX 和适配体传感器中的设计与应用。

IF 12.1 1区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biotechnology advances

Pub Date : 2024-10-05 DOI: 10.1016/j.biotechadv.2024.108461

Shikun Zhang , Yingming Zhang , Zhiyuan Ning , Mengxia Duan , Xianfeng Lin , Nuo Duan , Zhouping Wang , Shijia Wu

Aptamers are excellent recognition molecules obtained from systematic evolution of ligands by exponential enrichment (SELEX) that have been extensively researched for constructing aptasensors. However, in the process from SELEX to the construction of aptasensors, there are many disadvantages, such as tedious and repetitive operations, interference from external factors, and low efficiency, which seriously limits their application scope and development. Introducing the microfluidic technology can realize the integration and intelligence of SELEX and aptasensing, improve the efficiency of SELEX, and enhance the detection performance and convenience of aptasensing. Hence, in this review, the characteristics of various chips based on different driving forces are described firstly. And then summarizing the design of microfluidic devices based on different SELEX methods and showing the strategies of microfluidic aptasensors based on different detection modes. Finally, discussing the difficulties and challenges encountered when microfluidic is integrated with the SELEX and the aptasensors.

适配体是通过指数富集配体系统进化（SELEX）获得的优良识别分子，在构建适配传感器方面得到了广泛的研究。然而，从 SELEX 筛选到构建相应传感器的过程中，存在许多缺点，如操作繁琐重复、受外界因素干扰、效率低等，严重限制了其应用范围和发展。引入微流控技术可以实现 SELEX 和适配体检测的自动化和智能化，提高 SELEX 的效率，增强适配体检测的检测性能和便利性。因此，本综述首先介绍了基于不同驱动力的各种芯片的特点。然后总结了基于不同 SELEX 方法的微流控装置的设计，并展示了基于不同检测模式的微流控适配体的策略。最后，讨论了微流控与适配体 SELEX 和适配体传感器集成时遇到的困难和挑战。

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引用次数: 0

Engineered transcription factor-binding diversed functional nucleic acid-based synthetic biosensor 工程化转录因子结合多样化功能核酸合成生物传感器。

IF 12.1 1区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biotechnology advances

Pub Date : 2024-10-05 DOI: 10.1016/j.biotechadv.2024.108463

Yanger Liu , Ziying Zhou , Yifan Wu , Lei Wang , Jiageng Cheng , Longjiao Zhu , Yulan Dong , Jie Zheng , Wentao Xu

Engineered transcription factors (eTFs) binding diversed functional nucleic acids (dFNAs), as innovative biorecognition systems, have gradually become indispensable core elements for building synthetic biosensors. They not only circumvent the limitations of the original TF-based biosensing technologies, but also inject new vitality into the field of synthetic biosensing. This review aims to provide the first comprehensive and systematic dissection of the eTF-dFNA synthetic biosensor concept. Firstly, the core principles and interaction mechanisms of eTF-dFNA biosensors are clarified. Next, we elaborate on the construction strategies of eTF-dFNA synthetic biosensors, detailing methods for the personalized customization of eTFs (irrational design, rational design, and semi-rational design) and dFNAs (SELEX, modifying and predicting), along with the exploration of strategies for the flexible selection of signal amplification and output modes. Furthermore, we discuss the exceptional performance and substantial advantages of eTF-dFNA synthetic biosensors, analyzing them from four perspectives: recognition domain, detection speed, sensitivity, and construction methodology. Building upon this analysis, we present their outstanding applications in point-of-care diagnostics, food-safety detection, environmental monitoring, and production control. Finally, we address the current limitations of eTF-dFNA synthetic biosensors candidly and envision the future direction of this technology, aiming to provide valuable insights for further research and applications in this burgeoning field.

结合多样化功能核酸（dFNAs）的工程转录因子（eTFs）作为创新的生物识别系统，已逐渐成为构建合成生物传感器不可或缺的核心要素。它们不仅规避了原有基于 TF 的生物传感技术的局限性，也为合成生物传感领域注入了新的活力。本综述旨在首次全面系统地剖析 eTF-dFNA 合成生物传感器概念。首先，阐明了 eTF-dFNA 生物传感器的核心原理和相互作用机制。接着，我们阐述了 eTF-dFNA 合成生物传感器的构建策略，详细介绍了 eTF 的个性化定制方法（非理性设计、合理设计和半合理设计）和 dFNA 的个性化定制方法（SELEX、修改和预测），并探索了灵活选择信号放大和输出模式的策略。此外，我们还讨论了 eTF-dFNA 合成生物传感器的卓越性能和巨大优势，并从识别领域、检测速度、灵敏度和构建方法四个方面对其进行了分析。在此分析的基础上，我们介绍了它们在护理点诊断、食品安全检测、环境监测和生产控制方面的突出应用。最后，我们坦诚地探讨了 eTF-dFNA 合成生物传感器目前存在的局限性，并展望了这一技术的未来发展方向，旨在为这一新兴领域的进一步研究和应用提供有价值的见解。

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引用次数: 0

Protein representations: Encoding biological information for machine learning in biocatalysis 蛋白质表征：为生物催化中的机器学习编码生物信息。

IF 12.1 1区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biotechnology advances

Pub Date : 2024-10-02 DOI: 10.1016/j.biotechadv.2024.108459

David Harding-Larsen , Jonathan Funk , Niklas Gesmar Madsen , Hani Gharabli , Carlos G. Acevedo-Rocha , Stanislav Mazurenko , Ditte Hededam Welner

Enzymes offer a more environmentally friendly and low-impact solution to conventional chemistry, but they often require additional engineering for their application in industrial settings, an endeavour that is challenging and laborious. To address this issue, the power of machine learning can be harnessed to produce predictive models that enable the in silico study and engineering of improved enzymatic properties. Such machine learning models, however, require the conversion of the complex biological information to a numerical input, also called protein representations. These inputs demand special attention to ensure the training of accurate and precise models, and, in this review, we therefore examine the critical step of encoding protein information to numeric representations for use in machine learning. We selected the most important approaches for encoding the three distinct biological protein representations — primary sequence, 3D structure, and dynamics — to explore their requirements for employment and inductive biases. Combined representations of proteins and substrates are also introduced as emergent tools in biocatalysis. We propose the division of fixed representations, a collection of rule-based encoding strategies, and learned representations extracted from the latent spaces of large neural networks. To select the most suitable protein representation, we propose two main factors to consider. The first one is the model setup, which is influenced by the size of the training dataset and the choice of architecture. The second factor is the model objectives such as consideration about the assayed property, the difference between wild-type models and mutant predictors, and requirements for explainability. This review is aimed at serving as a source of information and guidance for properly representing enzymes in future machine learning models for biocatalysis.

与传统化学相比，酶提供了一种更环保、影响更小的解决方案，但它们在工业环境中的应用往往需要额外的工程设计，这是一项具有挑战性且费力的工作。为了解决这个问题，可以利用机器学习的力量来生成预测模型，从而对改进的酶特性进行硅学研究和工程设计。然而，这种机器学习模型需要将复杂的生物信息转换为数字输入，也称为蛋白质表征。因此，在本综述中，我们将探讨将蛋白质信息编码为数字表征以用于机器学习的关键步骤。我们选择了最重要的方法来编码三种不同的生物蛋白质表征--主序列、三维结构和动力学--以探讨它们对就业和归纳偏差的要求。我们还介绍了蛋白质和底物的组合表征，将其作为生物催化中的新兴工具。我们建议将固定表征、基于规则的编码策略集合和从大型神经网络潜空间中提取的学习表征进行划分。为了选择最合适的蛋白质表征，我们提出了两个主要考虑因素。第一个因素是模型设置，它受到训练数据集大小和架构选择的影响。第二个因素是模型目标，如对检测属性的考虑、野生型模型与突变预测模型之间的差异以及对可解释性的要求。本综述旨在为在未来生物催化机器学习模型中正确表示酶提供信息和指导。

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引用次数: 0

Engineering conditional protein-protein interactions for dynamic cellular control 设计条件性蛋白质-蛋白质相互作用，实现动态细胞控制。

IF 12.1 1区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biotechnology advances

Pub Date : 2024-09-27 DOI: 10.1016/j.biotechadv.2024.108457

Anthony M. Stohr, Derron Ma, Wilfred Chen, Mark Blenner

Conditional protein-protein interactions enable dynamic regulation of cellular activity and are an attractive approach to probe native protein interactions, improve metabolic engineering of microbial factories, and develop smart therapeutics. Conditional protein-protein interactions have been engineered to respond to various chemical, light, and nucleic acid-based stimuli. These interactions have been applied to assemble protein fragments, build protein scaffolds, and spatially organize proteins in many microbial and higher-order hosts. To foster the development of novel conditional protein-protein interactions that respond to new inputs or can be utilized in alternative settings, we provide an overview of the process of designing new engineered protein interactions while showcasing many recently developed computational tools that may accelerate protein engineering in this space.

条件性蛋白质-蛋白质相互作用能够对细胞活动进行动态调控，是探究原生蛋白质相互作用、改进微生物工厂代谢工程和开发智能疗法的一种极具吸引力的方法。有条件的蛋白质-蛋白质相互作用已被设计成能对各种化学、光和核酸刺激做出反应。这些相互作用已被用于组装蛋白质片段、构建蛋白质支架，以及在许多微生物和高阶宿主体内组织蛋白质。为了促进新型条件蛋白质-蛋白质相互作用的发展，以应对新的输入或在其他环境中加以利用，我们概述了设计新的工程蛋白质相互作用的过程，同时展示了许多最近开发的计算工具，这些工具可能会加速这一领域的蛋白质工程。

引用次数: 0

Microbiome regulation for sustainable wastewater treatment 可持续废水处理的微生物组调控。

IF 12.1 1区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biotechnology advances

Pub Date : 2024-09-27 DOI: 10.1016/j.biotechadv.2024.108458

Ke Shi , Jia-Min Xu , Han-Lin Cui, Hao-Yi Cheng, Bin Liang, Ai-Jie Wang

Sustainable wastewater treatment is essential for attaining clean water and sanitation, aligning with UN Sustainable Development Goals. Wastewater treatment plants (WWTPs) have utilized environmental microbiomes in biological treatment processes in this effort for over a century. However, the inherent complexity and redundancy of microbial communities, and emerging chemical and biological contaminants, challenge the biotechnology applications. Over the past decades, understanding and utilization of microbial energy metabolism and interaction relationships have revolutionized the biological system. In this review, we discuss how microbiome regulation strategies are being used to generate actionable performance for low-carbon pollutant removal and resource recovery in WWTPs. The engineering application cases also highlight the real feasibility and promising prospects of the microbiome regulation approaches. In conclusion, we recommend identifying environmental risks associated with chemical and biological contaminants transformation as a prerequisite. We propose the integration of gene editing and enzyme design to precisely regulate microbiomes for the synergistic control of both chemical and biological risks. Additionally, the development of integrated technologies and engineering equipment is crucial in addressing the ongoing water crisis. This review advocates for the innovation of conventional wastewater treatment biotechnology to ensure sustainable wastewater treatment.

可持续废水处理是实现清洁水源和卫生设施的当务之急，也是联合国可持续发展目标之一。一个多世纪以来，污水处理厂（WWTPs）一直利用生物处理过程中的环境微生物组来实现这一目标。然而，微生物群落固有的复杂性和冗余性，以及新出现的化学和生物污染物，对生物技术的应用提出了挑战。在过去的几十年中，对微生物能量代谢和相互作用关系的理解和利用已经彻底改变了生物系统。在本综述中，我们将讨论如何利用微生物组调控策略为污水处理厂的低碳污染物去除和资源回收创造可操作的性能。工程应用案例也凸显了微生物组调控方法的实际可行性和广阔前景。总之，我们主张以识别与化学和生物污染物转化相关的环境风险为前提。我们建议将基因编辑与酶设计相结合，精确调控微生物组，以协同控制化学和生物风险。此外，开发集成技术和工程设备对于解决当前的水危机也势在必行。本综述提倡对传统废水处理生物技术进行创新，以确保可持续的废水处理。

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引用次数: 0