New approaches in bioprocess‐control: Consortium guidance by synthetic cell‐cell communication based on fungal pheromones

Bioconversions in industrial processes are currently dominated by single‐strain approaches. With the growing complexity of tasks to be carried out, microbial consortia become increasingly advantageous and eventually may outperform single‐strain fermentations. Consortium approaches benefit from the combined metabolic capabilities of highly specialized strains and species, and the inherent division of labor reduces the metabolic burden for each strain while increasing product yields and reaction specificities. However, consortium‐based designs still suffer from a lack of available tools to control the behavior and performance of the individual subpopulations and of the entire consortium. Here, we propose to implement novel control elements for microbial consortia based on artificial cell–cell communication via fungal mating pheromones. Coupling to the desired output is mediated by pheromone‐responsive gene expression, thereby creating pheromone‐dependent communication channels between different subpopulations of the consortia. We highlight the benefits of artificial communication to specifically target individual subpopulations of microbial consortia and to control e.g. their metabolic profile or proliferation rate in a predefined and customized manner. Due to the steadily increasing knowledge of sexual cycles of industrially relevant fungi, a growing number of strains and species can be integrated into pheromone‐controlled sensor‐actor systems, exploiting their unique metabolic properties for microbial consortia approaches.     

Metabolic profiling of recombinant Escherichia coli cultivations based on high‐throughput FT‐MIR spectroscopic analysis

Escherichia coli is one of the most used host microorganism for the production of recombinant products, such as heterologous proteins and plasmids. However, genetic, physiological and environmental factors influence the plasmid replication and cloned gene expression in a highly complex way. To control and optimize the recombinant expression system performance, it is very important to understand this complexity. Therefore, the development of rapid, highly sensitive and economic analytical methodologies, which enable the simultaneous characterization of the heterologous product synthesis and physiologic cell behavior under a variety of culture conditions, is highly desirable. For that, the metabolic profile of recombinant E. coli cultures producing the pVAX‐lacZ plasmid model was analyzed by rapid, economic and high‐throughput Fourier Transform Mid‐Infrared (FT‐MIR) spectroscopy. The main goal of the present work is to show as the simultaneous multivariate data analysis by principal component analysis (PCA) and direct spectral analysis could represent a very interesting tool to monitor E. coli culture processes and acquire relevant information according to current quality regulatory guidelines. While PCA allowed capturing the energetic metabolic state of the cell, e.g. by identifying different C‐sources consumption phases, direct FT‐MIR spectral analysis allowed obtaining valuable biochemical and metabolic information along the cell culture, e.g. lipids, RNA, protein synthesis and turnover metabolism. The information achieved by spectral multivariate data and direct spectral analyses complement each other and may contribute to understand the complex interrelationships between the recombinant cell metabolism and the bioprocess environment towards more economic and robust processes design according to Quality by Design framework. © 2016 American Institute of Chemical Engineers Biotechnol. Prog., 33:285–298, 2017     

Complexin2 null mutation requires a ‘second hit’ for induction of phenotypic changes relevant to schizophrenia

Schizophrenia is a devastating disease that affects approximately 1% of the population across cultures. Its neurobiological underpinnings are still unknown. Accordingly, animal models of schizophrenia often lack construct validity. As concordance rate in monozygotic twins amounts to only 50%, environmental risk factors (e.g. neurotrauma, drug abuse, psychotrauma) likely act as necessary ‘second hit' to trigger/drive the disease process in a genetically predisposed individual. Valid animal models would have to consider this genetic–environmental interaction. Based on this concept, we designed an experimental approach for modeling a schizophrenia‐like phenotype in mice. As dysfunction in synaptic transmission plays a key role in schizophrenia, and complexin2 (CPLX2) gene expression is reduced in hippocampus of schizophrenic patients, we developed a mouse model with Cplx2 null mutation as genetic risk factor and a mild parietal neurotrauma, applied during puberty, as environmental ‘second hit'. Several months after lesion, Cplx2 null mutants showed reduced pre‐pulse inhibition, deficit of spatial learning and loss of inhibition after MK‐801 challenge. These abnormalities were largely absent in lesioned wild‐type mice and non‐lesioned Cplx2 null mutants. Forced alternation in T‐maze, object recognition, social interaction and elevated plus maze tests were unaltered in all groups. The previously reported mild motor phenotype of Cplx2 null mutants was accentuated upon lesion. MRI volumetrical analysis showed a decrease of hippocampal volume exclusively in lesioned Cplx2 null mutants. These findings provide suggestive evidence for the ‘second hit' hypothesis of schizophrenia and may offer new tools for the development of advanced treatment strategies.     

Linking environmental processes to the in situ functioning of microorganisms by high‐resolution secondary ion mass spectrometry (NanoSIMS) and scanning transmission X‐ray microscopy (STXM)

Environmental microbiology research increasingly focuses on the single microbial cell as the defining entity that drives environmental processes. The interactions of individual microbial cells with each other, the environment and with higher organisms shape microbial communities and control the functioning of whole ecosystems. A single‐cell view of microorganisms in their natural environment requires analytical tools that measure both cell function and chemical speciation at the submicrometre scale. Here we review the technical capabilities and limitations of high‐resolution secondary ion mass spectrometry (NanoSIMS) and scanning transmission (soft) X‐ray microscopy (STXM) and give examples of their applications. Whereas NanoSIMS can be combined with isotope‐labelling, thereby localizing the distribution of cellular activities (e.g. carbon/nitrogen fixation/turnover), STXM provides information on the location and chemical speciation of metabolites and products of redox reactions. We propose the combined use of both techniques and discuss the technical challenges of their joint application. Both techniques have the potential to enhance our understanding of cellular mechanisms and activities that contribute to microbially mediated processes, such as the biogeochemical cycling of elements, the transformation of contaminants and the precipitation of mineral phases.     

Strain engineering for high‐level 5‐aminolevulinic acid production in Escherichia coli

Herein, we report the development of a microbial bioprocess for high‐level production of 5‐aminolevulinic acid (5‐ALA), a valuable non‐proteinogenic amino acid with multiple applications in medical, agricultural, and food industries, using Escherichia coli as a cell factory. We first implemented the Shemin (i.e., C4) pathway for heterologous 5‐ALA biosynthesis in E. coli. To reduce, but not to abolish, the carbon flux toward essential tetrapyrrole/porphyrin biosynthesis, we applied clustered regularly interspersed short palindromic repeats interference (CRISPRi) to repress hemB expression, leading to extracellular 5‐ALA accumulation. We then applied metabolic engineering strategies to direct more dissimilated carbon flux toward the key precursor of succinyl‐CoA for enhanced 5‐ALA biosynthesis. Using these engineered E. coli strains for bioreactor cultivation, we successfully demonstrated high‐level 5‐ALA biosynthesis from glycerol (~30 g L^?1) under both microaerobic and aerobic conditions, achieving up to 5.95 g L^?1 (36.9% of the theoretical maximum yield) and 6.93 g L^?1 (50.9% of the theoretical maximum yield) 5‐ALA, respectively. This study represents one of the most effective bio‐based production of 5‐ALA from a structurally unrelated carbon to date, highlighting the importance of integrated strain engineering and bioprocessing strategies to enhance bio‐based production.     

Bacterial sugar utilization gives rise to distinct single‐cell behaviours

Inducible utilization pathways reflect widespread microbial strategies to uptake and consume sugars from the environment. Despite their broad importance and extensive characterization, little is known how these pathways naturally respond to their inducing sugar in individual cells. Here, we performed single‐cell analyses to probe the behaviour of representative pathways in the model bacterium Escherichia coli. We observed diverse single‐cell behaviours, including uniform responses (d ‐lactose, d ‐galactose, N‐acetylglucosamine, N‐acetylneuraminic acid), ‘all‐or‐none’ responses (d ‐xylose, l ‐rhamnose) and complex combinations thereof (l ‐arabinose, d ‐gluconate). Mathematical modelling and probing of genetically modified pathways revealed that the simple framework underlying these pathways – inducible transport and inducible catabolism – could give rise to most of these behaviours. Sugar catabolism was also an important feature, as disruption of catabolism eliminated tunable induction as well as enhanced memory of previous conditions. For instance, disruption of catabolism in pathways that respond to endogenously synthesized sugars led to full pathway induction even in the absence of exogenous sugar. Our findings demonstrate the remarkable flexibility of this simple biological framework, with direct implications for environmental adaptation and the engineering of synthetic utilization pathways as titratable expression systems and for metabolic engineering.     

合成生物学技术在环境保护中的应用

合成生物学是一个基于生物学和工程学原理的科学领域,其目的是重新设计和重组微生物,以优化或创建具有增强功能的新生物系统。该领域利用分子工具、系统生物学和遗传框架的重编程,从而构建合成途径以获得具有替代功能的微生物。传统上,合成生物学方法通常旨在开发具有成本效益的微生物细胞工厂进而从可再生资源中生产化学物质。然而,近年来合成生物学技术开始在环境保护中发挥着更直接的作用。本综述介绍了基因工程中的合成生物学工具,讨论了基于基因工程的微生物修复策略,强调了合成生物学技术可以通过响应特定污染物进行生物修复来保护环境。其中,规律间隔成簇短回文重复序列(Clustered Regularly Interspersed Short Palindromic Repeats, CRISPR)技术在基因工程细菌和古细菌的生物修复中得到了广泛应用,生物修复领域也出现了很多新的先进技术,包括生物膜工程、人工微生物群落的构建、基因驱动、酶和蛋白质工程等。有了这些新的技术和工具,生物修复将成为当今最好和最有效的污染物去除方式之一。     

Evolutionary engineering of Corynebacterium glutamicum

A unique feature of biotechnology is that we can harness the power of evolution to improve process performance. Rational engineering of microbial strains has led to the establishment of a variety of successful bioprocesses, but it is hampered by the overwhelming complexity of biological systems. Evolutionary engineering represents a straightforward approach for fitness‐linked phenotypes (e.g., growth or stress tolerance) and is successfully applied to select for strains with improved properties for particular industrial applications. In recent years, synthetic evolution strategies have enabled selection for increased small molecule production by linking metabolic productivity to growth as a selectable trait. This review summarizes the evolutionary engineering strategies performed with the industrial platform organism Corynebacterium glutamicum. An increasing number of recent studies highlight the potential of adaptive laboratory evolution (ALE) to improve growth or stress resistance, implement the utilization of alternative carbon sources, or improve small molecule production. Advances in next‐generation sequencing and automation technologies will foster the application of ALE strategies to streamline microbial strains for bioproduction and enhance our understanding of biological systems.     

非常规酵母天然产物合成

以解脂耶氏酵母(Yarrowia lipolytica)、巴斯德毕赤酵母(Pichia pastoris)、马克斯克鲁维酵母(Kluyveromyces marxianus)、圆红冬孢酵母(Rhodosporidium toruloides)、多形汉逊酵母(Hansenula polymorpha)为代表的非常规酵母凭借较广的底物利用谱、较强的环境耐受性等优势,已成功实现多种天然产物的高效生产。随着合成生物学及基因编辑技术的发展,针对非常规酵母代谢工程改造的工具和策略也逐渐丰富。本文介绍了几类常见的非常规酵母的生理特性、工具开发及应用现状,并总结归纳了天然产物合成优化中常用的代谢工程策略;最后讨论了现阶段非常规酵母作为天然产物合成细胞工厂的优势和不足,并对后续研究和发展趋势进行了展望。     

CARD-FISH技术及其在微生物生态学研究中的应用

催化报告沉积荧光原位杂交技术(Catalyzed reporter deposition-fluorescence in situ hybridization,CARDFISH)是基于传统的FISH技术发展而来,由于其较高的灵敏度及稳定性,可以检测微生物的rRNA、mRNA和DNA上的目标基因等,获得环境微生物的群落及功能信息,现已成为微生物生态学研究领域中的重要技术手段。近些年,CARD-FISH与同位素示踪技术、纳米二次离子质谱技术(Nano SIMS)、扫描电子显微镜(SEM)、流式细胞仪等技术方法的联合使用,不仅可以研究复杂环境中微生物的物种组成、数量及其高分辨形态学信息,而且可以获得微生物在单细胞水平的生理代谢信息及其活性,对在单细胞水平认识原位环境微生物的生理生态功能具有重要意义。本文重点介绍了CARD-FISH的技术路线和要点,并探讨CARD-FISH与相关技术联用在环境微生物生态学研究中的应用及进展。     

基因工程微生物合成鼠李糖脂表面活性剂的研究进展

鼠李糖脂是一类重要的生物表面活性剂。相比于化学合成的表面活性剂,其具有更优秀的理化性质及环境友好等特点,被广泛应用于微生物采油、环境污染修复等工程中。目前,鼠李糖脂的工业生产主要采用铜绿假单胞菌这一具有致病性的天然合成菌株,与此同时,受菌株遗传背景的限制,优化发酵过程等方法在产量提升方面遇到了一些瓶颈问题。利用基因工程方法对菌株进行改良有望进一步提高鼠李糖脂生产的安全性、产量、产物性能等多项指标,因此受到了越来越广泛的关注。本文综述了近年来利用基因工程方法优化鼠李糖脂生物合成的最新进展,讨论了异源合成、代谢通路改造、基因表达优化、蛋白质工程、底盘工程等多种策略的应用,并展望了一系列可行的研究方向。     

Using measures of single‐cell physiology and physiological state to understand organismic aging

Genetically identical organisms in homogeneous environments have different lifespans and healthspans. These differences are often attributed to stochastic events, such as mutations and ‘epimutations’, changes in DNA methylation and chromatin that change gene function and expression. But work in the last 10 years has revealed differences in lifespan‐ and health‐related phenotypes that are not caused by lasting changes in DNA or identified by modifications to DNA or chromatin. This work has demonstrated persistent differences in single‐cell and whole‐organism physiological states operationally defined by values of reporter gene signals in living cells. While some single‐cell states, for example, responses to oxygen deprivation, were defined previously, others, such as a generally heightened ability to make proteins, were, revealed by direct experiment only recently, and are not well understood. Here, we review technical progress that promises to greatly increase the number of these measurable single‐cell physiological variables and measureable states. We discuss concepts that facilitate use of single‐cell measurements to provide insight into physiological states and state transitions. We assert that researchers will use this information to relate cell level physiological readouts to whole‐organism outcomes, to stratify aging populations into groups based on different physiologies, to define biomarkers predictive of outcomes, and to shed light on the molecular processes that bring about different individual physiologies. For these reasons, quantitative study of single‐cell physiological variables and state transitions should provide a valuable complement to genetic and molecular explanations of how organisms age.