适应性实验室进化技术在微生物育种中的应用进展

适应性实验室进化(Adaptive laboratory evolution,ALE)技术已成为微生物学基础研究和工业微生物育种的强大工具,被广泛用来研究影响菌株表型、性能和稳定性的进化潜力以及快速获取含有有益突变的工业生产菌株。近年来,随着基因组测序技术的进步,关于微生物新陈代谢机理和动力学方面的研究变得更加广泛和深入,这也极大促进了适应性实验室进化技术的快速发展。文中主要介绍了长期、短期适应性实验室进化技术在微生物育种方面的应用实例,并总结归纳了该技术在快速高效构建优良菌株过程中的方式与作用。最后分析了目前ALE技术面临的瓶颈问题及其可能的解决方法,以期能够为该技术的未来发展提供有价值的参考依据。     

Recent progress in adaptive laboratory evolution of industrial microorganisms

Adaptive laboratory evolution (ALE) is a technique for the selection of strains with better phenotypes by long-term culture under a specific selection pressure or growth environment. Because ALE does not require detailed knowledge of a variety of complex and interactive metabolic networks, and only needs to simulate natural environmental conditions in the laboratory to design a selection pressure, it has the advantages of broad adaptability, strong practicability, and more convenient transformation of strains. In addition, ALE provides a powerful method for studying the evolutionary forces that change the phenotype, performance, and stability of strains, resulting in more productive industrial strains with beneficial mutations. In recent years, ALE has been widely used in the activation of specific microbial metabolic pathways and phenotypic optimization, the efficient utilization of specific substrates, the optimization of tolerance to toxic substance, and the biosynthesis of target products, which is more conducive to the production of industrial strains with excellent phenotypic characteristics. In this paper, typical examples of ALE applications in the development of industrial strains and the research progress of this technology are reviewed, followed by a discussion of its development prospects.     

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.     

Genome-scale metabolic models as platforms for strain design and biological discovery

Genome-scale metabolic models (GEMs) have been developed and used in guiding systems’ metabolic engineering strategies for strain design and development. This strategy has been used in fermentative production of bio-based industrial chemicals and fuels from alternative carbon sources. However, computer-aided hypotheses building using established algorithms and software platforms for biological discovery can be integrated into the pipeline for strain design strategy to create superior strains of microorganisms for targeted biosynthetic goals. Here, I described an integrated workflow strategy using GEMs for strain design and biological discovery. Specific case studies of strain design and biological discovery using Escherichia coli genome-scale model are presented and discussed. The integrated workflow presented herein, when applied carefully would help guide future design strategies for high-performance microbial strains that have existing and forthcoming genome-scale metabolic models.     

Adaptive laboratory evolution--harnessing the power of biology for metabolic engineering

Adaptive laboratory evolution (ALE) strategies allow for the metabolic engineering of microorganisms by combining genetic variation with the selection of beneficial mutations in an unbiased fashion. These ALE strategies have been proven highly effective in the optimization of production strains. In contrast to rational engineering strategies and directed modification of specific enzymes, ALE has the advantage of letting nonintuitive beneficial mutations occur in many different genes and regulatory regions in parallel. So far, the majority of applications of ALE in metabolic engineering have used well-characterized platform organisms such as Saccharomyces cerevisiae and Escherichia coli; however, applications for other microorganisms are on the rise. This review will focus on current applications of ALE as a tool for metabolic engineering and discuss advancements and achievements that have been made in this field.     

Recent advances in engineering of microbial cell factories for intelligent pH regulation and tolerance

pH regulation is a serious concern in the industrial fermentation process as pH adjustment heavily utilizes acid/base and pollutes the environment. Under pH-stress conditions, microbial growth and production of valuable target products may be severely affected. Furthermore, some strains generating acidic or alkaline products require self pH regulation and increased tolerance against pH-stress. For pH control, synthetic biology has provided advanced engineering approaches to construct robust and more intelligent microbial strains, exhibiting tolerance to pH-stress to cope with limitations of pH regulation. This study reviewed the current progress of advanced strain evolution strategies to engineer pH-stress tolerant strains via synthetic biology. In addition, a large number of pH-responsive elements, including promoters, riboswitches, and some proteins have been investigated and applied for construction of pH-responsive genetic circuits and intelligent pH-responsive microbial strains.     

耐受性工程调控微生物细胞工厂胁迫抗性

微生物细胞工厂的生产效率是由菌株生长性能、产品合成能力和胁迫抗性共同决定的,其中增强微生物细胞工厂的胁迫抗性是关键.耐受性工程基于微生物细胞工厂抵御胁迫压力的应激反应机制,通过巩固壁膜屏障增强胁迫防御能力,加快应激反应提高损伤修复能力,创制耐受进化工具筛选鲁棒性增强的工业微生物.文中分析归纳了耐受性工程的调控策略,并展...     

Co‐culture engineering for microbial biosynthesis of 3‐amino‐benzoic acid in Escherichia coli

3‐amino‐benzoic acid (3AB) is an important building block molecule for production of a wide range of important compounds such as natural products with various biological activities. In the present study, we established a microbial biosynthetic system for de novo 3AB production from the simple substrate glucose. First, the active 3AB biosynthetic pathway was reconstituted in the bacterium Escherichia coli, which resulted in the production of 1.5 mg/L 3AB. In an effort to improve the production, an E. coli‐E. coli co‐culture system was engineered to modularize the biosynthetic pathway between an upstream strain and an downstream strain. Specifically, the upstream biosynthetic module was contained in a fixed E. coli strain, whereas a series of E. coli strains were engineered to accommodate the downstream biosynthetic module and screened for optimal production performance. The best co‐culture system was found to improve 3AB production by 15 fold, compared to the mono‐culture approach. Further engineering of the co‐culture system resulted in biosynthesis of 48 mg/L 3AB. Our results demonstrate co‐culture engineering can be a powerful new approach in the broad field of metabolic engineering.     

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Conventional microbial cell cultivation techniques are typically labor intensive, low throughput, and poorlyparallelized, rendering them inefficient. The development of automated, modular microbial cell micro-cultivation systems, particularly those employing droplet microfluidics, have gained attention for their high-throughput, highly paralellized and efficient cultivation capabilities. Here, we report the development of a microbial microdroplet culture system (MMC), which is an integrated platform for automated, high-throughput cultivation and adaptive evolution of microorganisms. We demonstrated that the MMC yielded both accurate and reproducible results for the manipulation and detection of droplets. The superior performance of MMC for microbial cell cultivation was validated by comparing the growth curves of six microbial strains grown in MMC, conventional shake flasks or well plates. The highest incipient growth rate for all six microbial strains was achieved by using MMC. We also conducted an 18-day process of adaptive evolution of methanol-essential Escherichia coli strain in MMC and obtained two strains exhibiting higher growth rates compared with the parent strain. Our study demonstrates the power of MMC to provide an efficient and reliable approach for automated, high-throughput microbial cultivation and adaptive evolution.     

High throughput automated microbial bioreactor system used for clone selection and rapid scale‐down process optimization

High throughput automated fermentation systems have become a useful tool in early bioprocess development. In this study, we investigated a 24 x 15 mL single use microbioreactor system, ambr 15f, designed for microbial culture. We compared the fed‐batch growth and production capabilities of this system for two Escherichia coli strains, BL21 (DE3) and MC4100, and two industrially relevant molecules, hGH and scFv. In addition, different carbon sources were tested using bolus, linear or exponential feeding strategies, showing the capacity of the ambr 15f system to handle automated feeding. We used power per unit volume (P/V) as a scale criterion to compare the ambr 15f with 1 L stirred bioreactors which were previously scaled‐up to 20 L with a different biological system, thus showing a potential 1,300 fold scale comparability in terms of both growth and product yield. By exposing the cells grown in the ambr 15f system to a level of shear expected in an industrial centrifuge, we determined that the cells are as robust as those from a bench scale bioreactor. These results provide evidence that the ambr 15f system is an efficient high throughput microbial system that can be used for strain and molecule selection as well as rapid scale‐up. © 2017 The Authors Biotechnology Progress published by Wiley Periodicals, Inc. on behalf of American Institute of Chemical Engineers Biotechnol. Prog., 34:58–68, 2018     

Synthetic biology of avermectin for production improvement and structure diversification

Natural products are still key sources of current clinical drugs and innovative therapeutic agents. Since wild‐type microorganisms only produce natural products in very small quantities, yields of production strains need to be improved by breaking down the precise genetic and biochemical circuitry. Herein, we use avermectins as an example of production improvement and chemical structure diversification by synthetic biology. Avermectins are macrocyclic lactones produced by Streptomyces avermitilis and are well known and widely used for antiparasitic therapy. Given the importance of this molecule and its derivatives, many efforts and strategies were employed to improve avermectin production and generate new active analogues. This review describes the current status of synthetic strategies successfully applied for developing natural‐product‐producing strains and discusses future prospects for the application of enhanced avermectin production.     

Expression and export: recombinant protein production systems for Aspergillus

Several Aspergillus species, in particular Aspergillus niger and Aspergillus oryzae, are widely used as protein production hosts in various biotechnological applications. In order to improve the expression and secretion of recombinant proteins in these filamentous fungi, several novel genetic engineering strategies have been developed in recent years. This review describes state-of-the-art genetic manipulation technologies used for strain improvement, as well as recent advances in designing the most appropriate engineering strategy for a particular protein production process. Furthermore, current developments in identifying bottlenecks in the protein production and secretion pathways are described and novel approaches to overcome these limitations are introduced. An appropriate combination of expression vectors and optimized host strains will provide cell factories customized for each production process and expand the great potential of Aspergilli as biotechnology workhorses to more complex multi-step industrial applications.     

Exploring industrial and natural Saccharomyces cerevisiae strains for the bio-based economy from biomass: the case of bioethanol

Saccharomyces cerevisiae is the preferred microorganism for the production of bioethanol from biomass. Industrial strain development for first-generation ethanol from sugar cane and corn mostly relies on the historical know-how from high gravity beer brewing and alcohol distilleries. However, the recent design of yeast platforms for the production of second–generation biofuels and green chemicals from lignocellulose exposes yeast to different environments and stress challenges. The industrial need for increased productivity, wider substrate range utilization, and the production of novel compounds leads to renewed interest in further extending the use of current industrial strains by exploiting the immense, and still unknown, potential of natural yeast strains. This review describes key metabolic engineering strategies tailored to develop efficient industrial and novel natural yeast strains towards bioethanol production from biomass. Furthermore, it shapes how proof-of-concept studies, often advanced in academic settings on natural yeast, can be upgraded to meet the requirements for industrial applications. Academic and industrial research should continue to cooperate on both improving existing industrial strains and developing novel phenotypes by exploring the vast biodiversity available in nature on the road to establish yeast biorefineries where a range of biomass substrates are converted into valuable compounds.     

Microbial n‐butanol production from Clostridia to non‐Clostridial hosts

In the context of the global objective of shifting from petroleum to a biomass‐based economy, the research on fermentative strategies to produce alternative biofuels and chemicals has become a predominant field of study. Microorganisms, because of their substrate versatility and metabolic efficiency, are promising to partially support our increasing needs for materials and fuels, opening up scenarios for the use of alternative sources, including wastes. Butanol is a very attractive molecule since it can be seen both as a chemical platform and as a fuel. Today, it is principally derived from petroleum, but it also represents the final product of a microbial fermentation. Although Clostridia are the natural and traditional organisms employed in butanol production, systematic approaches to improve production and resistance traits are currently impeded by a lack of characterization and genetic tools. This is the main reason why, besides their optimizations, a significant and growing amount of research is centered on the engineering of alternative robust cell factories capable of elevated production, possibly combined with higher tolerance. Here, we review the most recent advances in n‐butanol production in non‐Clostridial microbial hosts, including not only other prokaryotic but also eukaryotic microorganisms, which might eventually be seen as second‐generation hosts.     

Metabolic engineering for the utilization of carbohydrate portions of lignocellulosic biomass

The petrochemical industry has grown to meet the need for massive production of energy and commodities along with an explosive population growth; however, serious side effects such as greenhouse gas emissions and global warming have negatively impacted the environment. Lignocellulosic biomass with myriad quantities on Earth is an attractive resource for the production of carbon-neutral fuels and chemicals through environmentally friendly processes of microbial fermentation. This review discusses metabolic engineering efforts to achieve economically feasible industrial production of fuels and chemicals from microbial cell factories using the carbohydrate portion of lignocellulosic biomass as substrates. The combined knowledge of systems biology and metabolic engineering has been applied to construct robust platform microorganisms with maximum conversion of monomeric sugars, such as glucose and xylose, derived from lignocellulosic biomass. By comprehensively revisiting carbon conversion pathways, we provide a rationale for engineering strategies, as well as their features, feasibility, and recent representative studies. In addition, we briefly discuss how tools in systems biology can be applied in the field of metabolic engineering to accelerate the development of microbial cell factories that convert lignocellulosic biomass into carbon-neutral fuels and chemicals with economic feasibility.     

L-valine production in Corynebacterium glutamicum based on systematic metabolic engineering: progress and prospects

L-valine is an essential branched-chain amino acid that cannot be synthesized by the human body and has a wide range of applications in food, medicine and feed. Market demand has stimulated people’s interest in the industrial production of L-valine. At present, the mutagenized or engineered Corynebacterium glutamicum is an effective microbial cell factory for producing L-valine. Because the biosynthetic pathway and metabolic network of L-valine are intricate and strictly regulated by a variety of key enzymes and genes, highly targeted metabolic engineering can no longer meet the demand for efficient biosynthesis of L-valine. In recent years, the development of omics technology has promoted the upgrading of traditional metabolic engineering to systematic metabolic engineering. This whole-cell-scale transformation strategy has become a productive method for developing L-valine producing strains. This review provides an overview of the biosynthesis and regulation mechanism of L-valine, and summarizes the current metabolic engineering techniques and strategies for constructing L-valine high-producing strains. Finally, the opinion of constructing a cell factory for efficiently biosynthesizing L-valine was proposed.

     

大肠杆菌的耐酸机制及其改造研究进展

微生物细胞在自然环境或工业应用中经常受到酸胁迫,严重制约细胞生长性能和产物合成效率。为了在各种酸性环境中生存,耐酸细菌发展出多种保护机制来维持细胞内pH稳态,如氢离子消耗、细胞膜保护、代谢修饰等。因此,深入研究耐酸机制、改进菌株耐酸能力对于利用微生物发酵合成高附加值产品具有重要意义。作为模式微生物,大肠杆菌耐酸机制的研究较为透彻,近年来其耐酸性改造也取得了重大进展。本文主要总结了大肠杆菌的氧化或葡萄糖抑制系统(acid resistance system 1, AR1)、谷氨酸依赖型耐酸系统(acid resistance system 2, AR2)、精氨酸依赖型耐酸系统(acid resistance system 3, AR3)、赖氨酸依赖型耐酸系统(acid resistance system 4, AR4)和鸟氨酸依赖型耐酸系统(acid resistance system 5, AR5)、细胞膜保护以及生物大分子修复等方面的耐酸机制,并概述了利用传统代谢工程、全局转录工程和适应性实验室进化等方法构建大肠杆菌耐酸菌株的研究进展,同时展望了大肠杆菌耐酸机制及其改造的后续研究方向...     

Engineering of microorganisms for the production of biofuels and perspectives based on systems metabolic engineering approaches

The increasing oil price and environmental concerns caused by the use of fossil fuel have renewed our interest in utilizing biomass as a sustainable resource for the production of biofuel. It is however essential to develop high performance microbes that are capable of producing biofuels with very high efficiency in order to compete with the fossil fuel. Recently, the strategies for developing microbial strains by systems metabolic engineering, which can be considered as metabolic engineering integrated with systems biology and synthetic biology, have been developed. Systems metabolic engineering allows successful development of microbes that are capable of producing several different biofuels including bioethanol, biobutanol, alkane, and biodiesel, and even hydrogen. In this review, the approaches employed to develop efficient biofuel producers by metabolic engineering and systems metabolic engineering approaches are reviewed with relevant example cases. It is expected that systems metabolic engineering will be employed as an essential strategy for the development of microbial strains for industrial applications.     

Aquatic microfauna alter larval food resources and affect development and biomass of West Nile and Saint Louis encephalitis vector Culex nigripalpus (Diptera: Culicidae)

Ciliate protists and rotifers are ubiquitous in aquatic habitats and can comprise a significant portion of the microbial food resources available to larval mosquitoes, often showing substantial declines in abundance in the presence of mosquito larvae. This top‐down regulation of protists is reported to be strong for mosquitoes inhabiting small aquatic containers such as pitcher plants or tree holes, but the nature of these interactions with larval mosquitoes developing in other aquatic habitats is poorly understood. We examined the effects of these two microbial groups on lower trophic level microbial food resources, such as bacteria, small flagellates, and organic particles, in the water column, and on Culex larval development and adult production. In three independent laboratory experiments using two microeukaryote species (one ciliate protist and one rotifer) acquired from field larval mosquito habitats and cultured in the laboratory, we determined the effects of Culex nigripalpus larval grazing on water column microbial dynamics, while simultaneously monitoring larval growth and development. The results revealed previously unknown interactions that were different from the top‐down regulation of microbial groups by mosquito larvae in other systems. Both ciliates and rotifers, singly or in combination, altered other microbial populations and inhibited mosquito growth. It is likely that these microeukaryotes, instead of serving as food resources, competed with early instar mosquito larvae for microbes such as small flagellates and bacteria in a density‐dependent manner. These findings help our understanding of the basic larval biology of Culex mosquitoes, variation in mosquito production among various larval habitats, and may have implications for existing vector control strategies and for developing novel microbial‐based control methods.