氨基酸生物传感器的开发及应用研究进展

氨基酸是蛋白质的基本组成单元,对人和动物的营养健康十分重要,广泛应用于饲料、食品、医药和日化等领域。目前,氨基酸主要通过微生物发酵可再生原料生产,氨基酸产业是我国生物制造的重要支柱产业之一。氨基酸菌株主要通过随机诱变和代谢工程改造结合筛选获得。菌株生产水平进一步提高的核心限制之一是缺乏高效、快速和准确的筛选方法,因此,发展氨基酸菌株的高通量筛选方法对关键功能元件挖掘及高产菌株的创制筛选至关重要。本文综述了氨基酸生物传感器的设计,及其在功能元件、高产菌株的高通量进化筛选和代谢途径动态调控中的应用研究进展,讨论了现有氨基酸生物传感器存在的问题和性能提升改造策略,并展望了开发氨基酸衍生物生物传感器的重要性。     

Combinatorial genetic perturbation to refine metabolic circuits for producing biofuels and biochemicals

Recent advances in metabolic engineering have enabled microbial factories to compete with conventional processes for producing fuels and chemicals. Both rational and combinatorial approaches coupled with synthetic and systematic tools play central roles in metabolic engineering to create and improve a selected microbial phenotype. Compared to knowledge-based rational approaches, combinatorial approaches exploiting biological diversity and high-throughput screening have been demonstrated as more effective tools for improving various phenotypes of interest. In particular, identification of unprecedented targets to rewire metabolic circuits for maximizing yield and productivity of a target chemical has been made possible. This review highlights general principles and the features of the combinatorial approaches using various libraries to implement desired phenotypes for strain improvement. In addition, recent applications that harnessed the combinatorial approaches to produce biofuels and biochemicals will be discussed.     

Systems metabolic engineering design: Fatty acid production as an emerging case study

Increasing demand for petroleum has stimulated industry to develop sustainable production of chemicals and biofuels using microbial cell factories. Fatty acids of chain lengths from C₆ to C₁₆ are propitious intermediates for the catalytic synthesis of industrial chemicals and diesel‐like biofuels. The abundance of genetic information available for Escherichia coli and specifically, fatty acid metabolism in E. coli, supports this bacterium as a promising host for engineering a biocatalyst for the microbial production of fatty acids. Recent successes rooted in different features of systems metabolic engineering in the strain design of high‐yielding medium chain fatty acid producing E. coli strains provide an emerging case study of design methods for effective strain design. Classical metabolic engineering and synthetic biology approaches enabled different and distinct design paths towards a high‐yielding strain. Here we highlight a rational strain design process in systems biology, an integrated computational and experimental approach for carboxylic acid production, as an alternative method. Additional challenges inherent in achieving an optimal strain for commercialization of medium chain‐length fatty acids will likely require a collection of strategies from systems metabolic engineering. Not only will the continued advancement in systems metabolic engineering result in these highly productive strains more quickly, this knowledge will extend more rapidly the carboxylic acid platform to the microbial production of carboxylic acids with alternate chain‐lengths and functionalities. Biotechnol. Biotechnol. Bioeng. 2014;111: 849–857. © 2014 Wiley Periodicals, Inc.     

产顺,顺-粘康酸细胞工厂的构建与优化

顺,顺-粘康酸是重要的平台化学品。目前,生物合成顺,顺-粘康酸还缺乏高性能菌株,已报道的主要工程菌株不仅需要诱导表达,遗传不稳定,而且发酵培养基组分复杂,不利于大规模工业化生产。构建能利用简单无机盐培养基、遗传稳定且不需要诱导表达的新型工程菌受到人们的关注。本研究在实验室前期构建的产三脱氢莽草酸工程菌株WJ060中,整合合成顺,顺-粘康酸的3个外源基因(aro Z、aro Y、cat A),并且利用3个不同强度的组成型启动子进行组合调控,成功构建了27株顺,顺-粘康酸工程菌,得到的最优工程菌MA30的产量达到1.7 g/L。为了进一步提高顺,顺-粘康酸工程菌的生产能力,利用基因组复制工程构建突变体库,结合高通量筛选方法,经过两轮筛选,成功筛选到了顺,顺-粘康酸产量提高超过8%的大肠杆菌MA30-G2。利用5 L发酵罐进行分批补料发酵,MA30-G2的顺,顺-粘康酸产量达到了11.5 g/L。本研究采用组合调控和高通量筛选相结合的策略不仅促进了顺,顺-粘康酸的生物合成,同时也为其他生物基化学品的生物制造提供了重要参考。     

Genetically engineered microbial biosensors for in situ monitoring of environmental pollution

Microbial biosensors are compact, portable, cost effective, and simple to use, making them seem eminently suitable for the in situ monitoring of environmental pollution. One promising approach for such applications is the fusion of reporter genes with regulatory genes that are dose-dependently responsive to the target chemicals or physiological signals. Their biosensor capabilities, such as target range and sensitivity, could be improved by modification of regulatory genes. Recent uses of such genetically engineered microbial biosensors include the development of portable biosensor kits and high-throughput cell arrays on chips, optic fibers, or other platforms for on-site and on-line monitoring of environmental pollution. This mini-review discusses recent advances in microbial biosensors and their future prospects, with a focus on the development and application of genetically modified microbial biosensors for in situ environmental monitoring.     

高产吡咯喹啉醌扭脱甲基杆菌的高通量选育

吡咯喹啉醌(PQQ)是一种细菌脱氢酶的辅酶,具有促进机体生长、调节机体自由基水平等功能,应用于食品、医药等领域。由于化学合成法成本较高,微生物发酵法生产PQQ受到关注。目前,发酵法生产PQQ产量较低,限制了其工业应用。然而,由于对PQQ菌株的合成与调控机制尚缺乏深入理解,以及对野生型菌株缺乏必要的基因工程改造手段,目前采用代谢工程强化PQQ合成菌株还缺乏相关基础。因此,本研究以扭脱甲基杆菌Methylobacterium extorquens I-F2为研究对象,整合常压室温等离子体诱变、流式细胞术分选和高通量筛选策略,对样品制备和流式分选过程进行优化,最终筛选出一株PQQ高产突变菌株1-C6,PQQ产量比出发菌株I-F2提高98.02%。本文所述的流式细胞术结合高通量筛选方法能简单、快速地获得高产突变菌株,相比于基因工程改造和传统筛选方法,具有提升效果明显且易于实施等优势。     

A biosensor generated via high-throughput screening quantifies cell edge Src dynamics

Fluorescent biosensors for living cells currently require laborious optimization and a unique design for each target. They are limited by the availability of naturally occurring ligands with appropriate target specificity. Here we describe a biosensor based on an engineered fibronectin monobody scaffold that can be tailored to bind different targets via high-throughput screening. We made this Src-family kinase (SFK) biosensor by derivatizing a monobody specific for activated SFKs with a bright dye whose fluorescence increases upon target binding. We identified sites for dye attachment and changes to eliminate vesiculation in living cells, providing a generalizable scaffold for biosensor production. This approach minimizes cell perturbation because it senses endogenous, unmodified target, and because sensitivity is enhanced by direct dye excitation. Automated correlation of cell velocities and SFK activity revealed that SFKs are activated specifically during protrusion. Activity correlates with velocity, and peaks 1-2 μm from the leading edge.     

Engineering a novel self-powering electrochemical biosensor

This paper records the efforts of a multi-disciplinary team of undergraduate students from Glasgow University to collectively design and carry out a 10 week project in Synthetic Biology as part of the international Genetic Engineered Machine competition (iGEM). The aim of the project was to design and build a self-powering electrochemical biosensor called ‘ElectrEcoBlu’. The novelty of this engineered machine lies in coupling a biosensor with a microbial fuel cell to transduce a pollution input into an easily measurable electrical output signal. The device consists of two components; the sensor element which is modular, allowing for customisation to detect a range of input signals as required, and the universal reporter element which is responsible for generating an electrical signal as an output. The genetic components produce pyocyanin, a competitive electron mediator for microbial fuel cells, thus enabling the generation of an electrical current in the presence of target chemical pollutants. The pollutants tested in our implementation were toluene and salicylate. ElectrEcoBlu is expected to drive forward the development of a new generation of biosensors. Our approach exploited a range of state-of-the-art modelling techniques in a unified framework of qualitative, stochastic and continuous approaches to support the design and guide the construction of this novel biological machine. This work shows that integrating engineering techniques with scientific methodologies can provide new insights into genetic regulation and can be considered as a reference framework for the development of biochemical systems in synthetic biology.     

Design and application of a biosensor for monitoring toxicity of compounds to eukaryotes

Here we describe an alternative approach to currently used cytotoxicity analyses through applying eukaryotic microbial biosensors. The yeast Saccharomyces cerevisiae was genetically modified to express firefly luciferase, generating a bioluminescent yeast strain. The presence of any toxic chemical that interfered with the cells' metabolism resulted in a quantitative decrease in bioluminescence. In this study, it was demonstrated that the luminescent yeast strain senses chemicals known to be toxic to eukaryotes in samples assessed as nontoxic by prokaryotic biosensors. As the cell wall and adaptive mechanisms of S. cerevisiae cells enhance stability and protect from extremes of pH, solvent exposure, and osmotic shock, these inherent properties were exploited to generate a biosensor that should detect a wide range of both organic and inorganic toxins under extreme conditions.     

Computer aided analysis for biosensing and screening

Biosensors with animal and microbial cells immobilized close to the tip of a membrane electrode have been developed for chemical and drug testing. Our experimental results show that biosensors can be used for drug screening and to provide useful information about various cell-chemical interactions. A computer aided analysis (CAA) software package is being developed here using the biosensor for various screening purposes. This software package enables us to use a computer to analyze the biosensor dynamic responses. Computer simulation and parameter estimation techniques are used to select the best model and to describe the biochemical and pharmacologic effects of various chemicals and drugs on different cell lines.     

Metabolic engineering of E. coli for β-alanine production using a multi-biosensor enabled approach

β-alanine is an important biomolecule used in nutraceuticals, pharmaceuticals, and chemical synthesis. The relatively eco-friendly bioproduction of β-alanine has recently attracted more interest than petroleum-based chemical synthesis. In this work, we developed two types of in vivo high-throughput screening platforms, wherein one was utilized to identify a novel target ribonuclease E (encoded by rne) as well as a redox-cofactor balancing module that can enhance de novo β-alanine biosynthesis from glucose, and the other was employed for screening fermentation conditions. When combining these approaches with rational upstream and downstream module engineering, an engineered E. coli producer was developed that exhibited 3.4- and 6.6-fold improvement in β-alanine yield (0.85 mol β-alanine/mole glucose) and specific β-alanine production (0.74 g/L/OD₆₀₀), respectively, compared to the parental strain in a minimal medium. Across all of the strains constructed, the best yielding strain exhibited 1.08 mol β-alanine/mole glucose (equivalent to 81.2% of theoretic yield). The final engineered strain produced 6.98 g/L β-alanine in a batch-mode bioreactor and 34.8 g/L through a whole-cell catalysis. This approach demonstrates the utility of biosensor-enabled high-throughput screening for the production of β-alanine.     

高通量技术在萜类合成酶筛选中的应用

萜类化合物种类繁多,生物活性多样,在食品、药品与化妆品等行业中具有广泛的应用。萜类化合物多来源于植物,然而随着合成生物学的快速发展,相较于传统的天然植物提取与化学合成方法,利用工程微生物进行萜类化合物异源合成的方法显得更为经济与环保。萜类合成酶的催化活性及合成产物的结构特性是萜类化合物异源合成的关键。通过蛋白定向进化与理性设计可以有针对性地优化萜类合成酶的催化性能及产物专一性,但该方案需要一个特异的筛选方法来实现蛋白突变体库的高通量筛选。近年来,一系列高通量筛选方法的建立使得萜类合成酶的筛选变得更加灵敏与高效。本文对近期建立的萜类合成酶高通量筛选方法进行了综述,简要概述了各种筛选方法的基本原理与优缺点,并对高通量筛选技术在萜类合成酶改造中的应用做出了展望。     

Design and Application of a Biosensor for Monitoring Toxicity of Compounds to Eukaryotes

Here we describe an alternative approach to currently used cytotoxicity analyses through applying eukaryotic microbial biosensors. The yeast Saccharomyces cerevisiae was genetically modified to express firefly luciferase, generating a bioluminescent yeast strain. The presence of any toxic chemical that interfered with the cells' metabolism resulted in a quantitative decrease in bioluminescence. In this study, it was demonstrated that the luminescent yeast strain senses chemicals known to be toxic to eukaryotes in samples assessed as nontoxic by prokaryotic biosensors. As the cell wall and adaptive mechanisms of S. cerevisiae cells enhance stability and protect from extremes of pH, solvent exposure, and osmotic shock, these inherent properties were exploited to generate a biosensor that should detect a wide range of both organic and inorganic toxins under extreme conditions.     

Design and characterization of auxotrophy-based amino acid biosensors

Efficient and inexpensive methods are required for the high-throughput quantification of amino acids in physiological fluids or microbial cell cultures. Here we develop an array of Escherichia coli biosensors to sensitively quantify eleven different amino acids. By using online databases, genes involved in amino acid biosynthesis were identified that - upon deletion - should render the corresponding mutant auxotrophic for one particular amino acid. This rational design strategy suggested genes involved in the biosynthesis of arginine, histidine, isoleucine, leucine, lysine, methionine, phenylalanine, proline, threonine, tryptophan, and tyrosine as potential genetic targets. A detailed phenotypic characterization of the corresponding single-gene deletion mutants indeed confirmed that these strains could neither grow on a minimal medium lacking amino acids nor transform any other proteinogenic amino acid into the focal one. Site-specific integration of the egfp gene into the chromosome of each biosensor decreased the detection limit of the GFP-labeled cells by 30% relative to turbidometric measurements. Finally, using the biosensors to determine the amino acid concentration in the supernatants of two amino acid overproducing E. coli strains (i.e. ΔhisL and ΔtdcC) both turbidometrically and via GFP fluorescence emission and comparing the results to conventional HPLC measurements confirmed the utility of the developed biosensor system. Taken together, our study provides not only a genotypically and phenotypically well-characterized set of publicly available amino acid biosensors, but also demonstrates the feasibility of the rational design strategy used.     

Changing oxidoreduction potential to improve water-soluble yellow pigment production with Monascus ruber CGMCC 10910

Malonyl-coenzyme A (CoA) is an important biosynthetic precursor in vivo. Although Escherichia coli is a useful organism for biosynthetic applications, its malonyl-CoA level is too low. To identify strains with the best potential for enhanced malonyl-CoA production, we developed a whole-cell biosensor for rapidly reporting intracellular malonyl-CoA concentrations. The biosensor was successfully applied as a high-throughput screening tool for identifying targets at a genome-wide scale that could be critical for improving the malonyl-CoA biosynthesis in vivo. The mutant strains selected synthesized significantly higher titers of the type III polyketide triacetic acid lactone (TAL), phloroglucinol, and free fatty acids compared to the wild-type strain, using malonyl-CoA as a precursor. These results validated this novel whole-cell biosensor as a rapid and sensitive malonyl-CoA high-throughput screening tool. Further analysis of the mutant strains showed that the iron ion concentration is closely related to the intracellular malonyl-CoA biosynthesis.     

Challenges in the microbial production of flavonoids

As flavonoids have beneficial health effects on humans, they are gaining increasing interest from pharmaceutical and health industries. However, current production methods, such as plant extraction and chemical synthesis, are inadequate to meet the demand. Therefore, microbial production might offer a promising alternative. During recent years, microbial strains able to produce flavonoids to a certain extent have been developed. However production titers are limited to the mg l^?1 range, hampering the industrial exploitation of these strains. The latter will not be achieved by simply introducing the heterologous pathway in the production host and optimizing the fermentation process, but will depend on the interaction of different aspects of metabolic engineering and process engineering to overcome the current limitations. Next to engineering the production strain to optimize the availability of precursors, the pathway itself also requires intensive engineering. Currently utilized strategies result in a wide variety of different production strains, requiring high-throughput screening methods to identify optimal performing strains. As more and more organisms are being characterized, each with their own specific properties which might be beneficial for the heterologous production of flavonoids, the choice of the production host is another important aspect. Finally, the use of co-cultures might offer an alternative in which different parts of the process are performed by different organisms. This review aims to provide an overview of the research that has been done on these separate aspects. The work presented here could be used as a framework for further research.