A computational tool for the simulation and optimization of microbial strains accounting integrated metabolic/regulatory information

Background and scope

Recently, a number of methods and tools have been proposed to allow the use of genome-scale metabolic models for the phenotype simulation and optimization of microbial strains, within the field of Metabolic Engineering (ME). One of the limitations of most of these algorithms and tools is the fact that only metabolic information is taken into account, disregarding knowledge on regulatory events.

Implementation and performances

This work proposes a novel software tool that implements methods for the phenotype simulation and optimization of microbial strains using integrated models, encompassing both metabolic and regulatory information. This tool is developed as a plug-in that runs over OptFlux, a computational platform that aims to be a reference tool for the ME community.

Availability

The plug-in is made available in the OptFlux web site (www.optflux.org) together with examples and documentation.     

A guide to metabolic flux analysis in metabolic engineering: Methods,tools and applications

The field of metabolic engineering is primarily concerned with improving the biological production of value-added chemicals, fuels and pharmaceuticals through the design, construction and optimization of metabolic pathways, redirection of intracellular fluxes, and refinement of cellular properties relevant for industrial bioprocess implementation. Metabolic network models and metabolic fluxes are central concepts in metabolic engineering, as was emphasized in the first paper published in this journal, “Metabolic fluxes and metabolic engineering” (Metabolic Engineering, 1: 1–11, 1999). In the past two decades, a wide range of computational, analytical and experimental approaches have been developed to interrogate the capabilities of biological systems through analysis of metabolic network models using techniques such as flux balance analysis (FBA), and quantify metabolic fluxes using constrained-based modeling approaches such as metabolic flux analysis (MFA) and more advanced experimental techniques based on the use of stable-isotope tracers, i.e. ¹³C-metabolic flux analysis (¹³C-MFA). In this review, we describe the basic principles of metabolic flux analysis, discuss current best practices in flux quantification, highlight potential pitfalls and alternative approaches in the application of these tools, and give a broad overview of pragmatic applications of flux analysis in metabolic engineering practice.     

Rapid sampling devices for metabolic engineering applications

A number of rapid sampling devices for metabolic engineering applications have been developed over the last years with the purpose of the estimation of in vivo metabolic concentrations and dynamics. This review outlines the designs and characteristics as well as the developments and changes in diverse approaches over the years. Primary performance parameters for these constructions are sampling time and rate and, for an accurate representation of the in vivo condition in cells, the reproducibility of results and easy handling throughout the sampling operation.     

Progress of vitamin E metabolic engineering in plants

Vitamin E is important for human and animal health. Many human diseases, such as certain cancers and neurodegenerative and cardiovascular disease, are associated with the insufficient intake of vitamin E. The daily requirements for vitamin E in men and women have been increased to 15–30 mg. Because the primary source of dietary vitamin E comes from plants, there is a need to increase vitamin E production through plant engineering in order to meet the demand in human consumption. Numerous studies have been carried out in this field, leading to many successful examples. In this review, we summarized the recent progress in vitamin E metabolic engineering in plants aimed at improving the vitamin E content and regulating composition of vitamin E.     

Expanding the metabolic engineering toolbox with directed evolution

Cellular systems can be engineered into factories that produce high-value chemicals from renewable feedstock. Such an approach requires an expanded toolbox for metabolic engineering. Recently, protein engineering and directed evolution strategies have started to play a growing and critical role within metabolic engineering. This review focuses on the various ways in which directed evolution can be applied in conjunction with metabolic engineering to improve product yields. Specifically, we discuss the application of directed evolution on both catalytic and non-catalytic traits of enzymes, on regulatory elements, and on whole genomes in a metabolic engineering context. We demonstrate how the goals of metabolic pathway engineering can be achieved in part through evolving cellular parts as opposed to traditional approaches that rely on gene overexpression and deletion. Finally, we discuss the current limitations in screening technology that hinder the full implementation of a metabolic pathway-directed evolution approach.     

Systems metabolic engineering: Genome-scale models and beyond

The advent of high throughput genome-scale bioinformatics has led to an exponential increase in available cellular system data. Systems metabolic engineering attempts to use data-driven approaches – based on the data collected with high throughput technologies – to identify gene targets and optimize phenotypical properties on a systems level. Current systems metabolic engineering tools are limited for predicting and defining complex phenotypes such as chemical tolerances and other global, multigenic traits. The most pragmatic systems-based tool for metabolic engineering to arise is the in silico genome-scale metabolic reconstruction. This tool has seen wide adoption for modeling cell growth and predicting beneficial gene knockouts, and we examine here how this approach can be expanded for novel organisms. This review will highlight advances of the systems metabolic engineering approach with a focus on de novo development and use of genome-scale metabolic reconstructions for metabolic engineering applications. We will then discuss the challenges and prospects for this emerging field to enable model-based metabolic engineering. Specifically, we argue that current state-of-the-art systems metabolic engineering techniques represent a viable first step for improving product yield that still must be followed by combinatorial techniques or random strain mutagenesis to achieve optimal cellular systems.     

The yeast Zygosaccharomyces bailii: a new host for heterologous protein production, secretion and for metabolic engineering applications

Molecular tools for the production of heterologous proteins and metabolic engineering applications of the non-conventional yeast Zygosaccharomyces bailii were developed. The combination of Z. bailii's resistance to relatively high temperature, osmotic pressure and low pH values, with a high specific growth rate renders this yeast potentially interesting for exploitation for biotechnological purposes as well as for the understanding of the biological phenomena and mechanisms underlying the respective resistances. Looking forward to these potential applications, here we present the tools required for the production and the secretion of different heterologous proteins, and one example of a metabolic engineering application of this non-conventional yeast, employing the newly developed molecular tools.     

An update on microbial carotenoid production: application of recent metabolic engineering tools

Carotenoids are ubiquitous pigments synthesized by plants, fungi, algae, and bacteria. Industrially, carotenoids are used in pharmaceuticals, neutraceuticals, and animal feed additives, as well as colorants in cosmetics and foods. Scientific interest in dietary carotenoids has increased in recent years because of their beneficial effects on human health, such as lowering the risk of cancer and enhancement of immune system function, which are attributed to their antioxidant potential. The availability of carotenoid genes from carotenogenic microbes has made possible the synthesis of carotenoids in non-carotenogenic microbes. The increasing interest in microbial sources of carotenoid is related to consumer preferences for natural additives and the potential cost effectiveness of creating carotenoids via microbial biotechnology. In this review, we will describe the recent progress made in metabolic engineering of non-carotenogenic microorganisms with particular focus on the potential of Escherichia coli for improved carotenoid productivity. Amitabha Das and Sang-Hwal Yoon contributed equally to this work.     

A genetic toolbox for metabolic engineering of Issatchenkia orientalis

The nonconventional yeast Issatchenkia orientalis can grow under highly acidic conditions and has been explored for production of various organic acids. However, its broader application is hampered by the lack of efficient genetic tools to enable sophisticated metabolic manipulations. We recently constructed an episomal plasmid based on the autonomously replicating sequence (ARS) from Saccharomyces cerevisiae (ScARS) in I. orientalis and developed a CRISPR/Cas9 system for multiplexed gene deletions. Here we report three additional genetic tools including: (1) identification of a 0.8 kb centromere-like (CEN-L) sequence from the I. orientalis genome by using bioinformatics and functional screening; (2) discovery and characterization of a set of constitutive promoters and terminators under different culture conditions by using RNA-Seq analysis and a fluorescent reporter; and (3) development of a rapid and efficient in vivo DNA assembly method in I. orientalis, which exhibited ~100% fidelity when assembling a 7 kb-plasmid from seven DNA fragments ranging from 0.7 kb to 1.7 kb. As proof of concept, we used these genetic tools to rapidly construct a functional xylose utilization pathway in I. orientalis.     

历久弥新：进化中的代谢工程

20世纪90年代,Bailey及Stephanopoulos等提出了经典代谢工程的理念,旨在利用DNA重组技术对代谢网络进行改造,以达到细胞性能改善,目标产物增加的目的。自代谢工程诞生以来的30年,生命科学蓬勃发展,基因组学、系统生物学、合成生物学等新学科不断涌现,为代谢工程的发展注入了新的内涵与活力。经典代谢工程研究已进入到前所未有的系统代谢工程阶段。组学技术、基因组代谢模型、元件组装、回路设计、动态控制、基因组编辑等合成生物学工具与策略的应用,大大提升了复杂代谢的设计与合成能力;机器学习的介入以及进化工程与代谢工程的结合,为系统代谢工程的未来开辟了新的方向。文中对过去30年代谢工程的发展趋势作了梳理,介绍了代谢工程在发展中不断创新的理论与方法及其应用。     

CRISPR-derived genome editing technologies for metabolic engineering

In metabolic engineering, genome editing tools make it much easier to discover and evaluate relevant genes and pathways and construct strains. Clustered regularly interspaced palindromic repeats (CRISPR)-associated (Cas) systems now have become the first choice for genome engineering in many organisms includingindustrially relevant ones. Targeted DNA cleavage by CRISPR-Cas provides variousgenome engineering modes such as indels, replacements, large deletions, knock-in and chromosomal rearrangements, while host-dependent differences in repair pathways need to be considered. The versatility of the CRISPR system has given rise to derivative technologies that complement nuclease-based editing, which causes cytotoxicity especially in microorganisms. Deaminase-mediated base editing installs targeted point mutations with much less toxicity. CRISPRi and CRISPRa can temporarily control gene expression without changing the genomic sequence. Multiplex, combinatorial and large scale editing are made possible by streamlined design and construction of gRNA libraries to further accelerates comprehensive discovery, evaluation and building of metabolic pathways. This review summarizes the technical basis and recent advances in CRISPR-related genome editing tools applied for metabolic engineering purposes, with representative examples of industrially relevant eukaryotic and prokaryotic organisms.     

Debottlenecking the 1,3-propanediol pathway by metabolic engineering

The history of 1,3-propanediol (1,3-PD) conversion from being a specialty chemical to being a bulk chemical illustrates that the concerted effort of different metabolic engineering approaches brings the most successful results. In order to metabolically tailor the 1,3-PD production pathway multiple strategies have been pursued. Knocking-out genes responsible for by-products formation, intergeneric transfer and overexpression of the genes directly involved in the pathway, manipulation with internal redox balance, introduction of a synthetic flux control point, and modification of the substrate mechanism of transport are some of the strategies applied. The metabolic engineering of the microbial 1,3-PD production exploits both native producers and microorganisms with acquired ability to produce the diol via genetic manipulations. Combination of the appropriate genes from homologous and heterologous hosts is expected to bring a desired objective of production of 1,3-PD cheaply, efficiently and independently from non-renewable resources. The state-of-the-art of the 1,3-PD pathway metabolic engineering is reviewed in this paper.     

Rational design of thiolase substrate specificity for metabolic engineering applications

Metabolic engineering efforts require enzymes that are both highly active and specific toward the synthesis of a desired output product to be commercially feasible. The 3‐hydroxyacid (3HA) pathway, also known as the reverse β‐oxidation or coenzyme‐A‐dependent chain‐elongation pathway, can allow for the synthesis of dozens of useful compounds of various chain lengths and functionalities. However, this pathway suffers from byproduct formation, which lowers the yields of the desired longer chain products, as well as increases downstream separation costs. The thiolase enzyme catalyzes the first reaction in this pathway, and its substrate specificity at each of its two catalytic steps sets the chain length and composition of the chemical scaffold upon which the other downstream enzymes act. However, there have been few attempts reported in the literature to rationally engineer thiolase substrate specificity. In this study, we present a model‐guided, rational design study of ordered substrate binding applied to two biosynthetic thiolases, with the goal of increasing the ratio of C6/C4 products formed by the 3HA pathway, 3‐hydroxy‐hexanoic acid and 3‐hydroxybutyric acid. We identify thiolase mutants that result in nearly 10‐fold increases in C6/C4 selectivity. Our findings can extend to other pathways that employ the thiolase for chain elongation, as well as expand our knowledge of sequence–structure–function relationship for this important class of enzymes.     

转录组平台技术及其在代谢工程中的应用

组学技术在系统水平上对细胞代谢进行全面的分析,极大地促进了代谢工程的发展和应用。全基因组水平的转录分析可以使研究者更加精确地评估细胞表型,加深对细胞代谢的理解。而且转录组分析也有助于研究者鉴定菌种改良的目标基因,加速对微生物细胞工厂的合理设计及构建。文中介绍了3种主要转录组平台技术的原理,并总结了转录组学在代谢工程领域中应用的最新进展和未来发展趋势。     

L-精氨酸生物合成机制及其代谢工程育种研究进展

L-精氨酸是人体半必需的氨基酸,在生命代谢过程中起着非常重要的作用,且具有广泛的应用价值及市场需求。目前,L-精氨酸主要采用微生物发酵法进行生产,为了提高L-精氨酸的产量和稳定性,最有效的方法是优化L-精氨酸生产菌株,通过代谢工程改造微生物菌株有望达到这一目的。本文分析了微生物中L-精氨酸的代谢途径和调控机制,并综述了构建高产L-精氨酸的代谢工程策略。此外,展望了菌株稳定性和底物扩展利用的未来研究方向。     

Improving the production of NAD+ via multi-strategy metabolic engineering in Escherichia coli

Nicotinamide adenine dinucleotide (NAD⁺) is an essential coenzyme involved in numerous physiological processes. As an attractive product in the industrial field, NAD⁺ also plays an important role in oxidoreductase-catalyzed reactions, drug synthesis, and the treatment of diseases, such as dementia, diabetes, and vascular dysfunction. Currently, although the biotechnology to construct NAD⁺-overproducing strains has been developed, limited regulation and low productivity still hamper its use on large scales. Here, we describe multi-strategy metabolic engineering to address the NAD⁺-production bottleneck in E. coli. First, blocking the degradation pathway of NAD(H) increased the accumulation of NAD⁺ by 39%. Second, key enzymes involved in the Preiss-Handler pathway of NAD⁺ synthesis were overexpressed and led to a 221% increase in the NAD⁺ concentration. Third, the PRPP synthesis module and Preiss-Handler pathway were combined to strengthen the precursors supply, which resulted in enhancement of NAD⁺ content by 520%. Fourth, increasing the ATP content led to an increase in the concentration of NAD⁺ by 170%. Finally, with the combination of all above strategies, a strain with a high yield of NAD⁺ was constructed, with the intracellular NAD⁺ concentration reaching 26.9 μmol/g DCW, which was 834% that of the parent strain. This study presents an efficient design of an NAD⁺-producing strain through global regulation metabolic engineering.     

Modified GM3 gangliosides produced by metabolic oligosaccharide engineering

Metabolic oligosaccharide engineering is powerful approach to altering the structure of cellular sialosides. This method relies on culturing cells with N-acetylmannosamine (ManNAc) analogs that are metabolized to their sialic acid counterparts and added to glycoproteins and glycolipids. Here we employed two cell lines that are deficient in ManNAc biosynthesis and examined their relative abilities to metabolize a panel of ManNAc analogs to sialosides. In addition to measuring global sialoside production, we also examined biosynthesis of the sialic acid-containing glycolipid, GM3. We discovered that the two cell lines differ in their ability to discriminate among the variant forms of ManNAc. Further, our data suggest that modified forms of sialic acid may be preferentially incorporated into certain sialosides and excluded from others. Taken together, our results demonstrate that global analysis of sialoside production can obscure sialoside-specific differences. These findings have implications for downstream applications of metabolic oligosaccharide engineering, including imaging and proteomics.     

Ensemble Modeling for Robustness Analysis in engineering non-native metabolic pathways

Metabolic pathways in cells must be sufficiently robust to tolerate fluctuations in expression levels and changes in environmental conditions. Perturbations in expression levels may lead to system failure due to the disappearance of a stable steady state. Increasing evidence has suggested that biological networks have evolved such that they are intrinsically robust in their network structure. In this article, we presented Ensemble Modeling for Robustness Analysis (EMRA), which combines a continuation method with the Ensemble Modeling approach, for investigating the robustness issue of non-native pathways. EMRA investigates a large ensemble of reference models with different parameters, and determines the effects of parameter drifting until a bifurcation point, beyond which a stable steady state disappears and system failure occurs. A pathway is considered to have high bifurcational robustness if the probability of system failure is low in the ensemble. To demonstrate the utility of EMRA, we investigate the bifurcational robustness of two synthetic central metabolic pathways that achieve carbon conservation: non-oxidative glycolysis and reverse glyoxylate cycle. With EMRA, we determined the probability of system failure of each design and demonstrated that alternative designs of these pathways indeed display varying degrees of bifurcational robustness. Furthermore, we demonstrated that target selection for flux improvement should consider the trade-offs between robustness and performance.