Model-guided dynamic control of essential metabolic nodes boosts acetyl-coenzyme A–dependent bioproduction in rewired Pseudomonas putida

Pseudomonas putida is evolutionarily endowed with features relevant for bioproduction, especially under harsh operating conditions. The rich metabolic versatility of this species, however, comes at the price of limited formation of acetyl-coenzyme A (CoA) from sugar substrates. Since acetyl-CoA is a key metabolic precursor for a number of added-value products, in this work we deployed an in silico-guided rewiring program of central carbon metabolism for upgrading P. putida as a host for acetyl-CoA–dependent bioproduction. An updated kinetic model, integrating fluxomics and metabolomics datasets in addition to manually-curated information of enzyme mechanisms, identified targets that would lead to increased acetyl-CoA levels. Based on these predictions, a set of plasmids based on clustered regularly interspaced short palindromic repeats (CRISPR) and dead CRISPR-associated protein 9 (dCas9) was constructed to silence genes by CRISPR interference (CRISPRi). Dynamic reduction of gene expression of two key targets (gltA, encoding citrate synthase, and the essential accA gene, encoding subunit A of the acetyl-CoA carboxylase complex) mediated an 8-fold increase in the acetyl-CoA content of rewired P. putida. Poly(3-hydroxybutyrate) (PHB) was adopted as a proxy of acetyl-CoA availability, and two synthetic pathways were engineered for biopolymer accumulation. By including cell morphology as an extra target for the CRISPRi approach, fully rewired P. putida strains programmed for PHB accumulation had a 5-fold increase in PHB titers in bioreactor cultures using glucose. Thus, the strategy described herein allowed for rationally redirecting metabolic fluxes in P. putida from central metabolism towards product biosynthesis—especially relevant when deletion of essential pathways is not an option.     

包含体——流行性出血热病毒形态学的重要特征

用普通电镜和免疫酶电镜方法观察了流行性出血热病毒A9株和R22株感染的VeroE-6细胞中的病毒包含体,发现这些包含体具有以下三种基本形态:1.丝状或丝状颗粒包含体,2.松散颗粒包含体,3.致密包含体。在免疫酶法中,包含体均呈特异性酶染色阳性反应。描述和讨论了包含体与细胞及病毒发育成熟的关系。     

The imminent role of protein engineering in synthetic biology

Protein engineering has for decades been a powerful tool in biotechnology for generating vast numbers of useful enzymes for industrial applications. Today, protein engineering has a crucial role in advancing the emerging field of synthetic biology, where metabolic engineering efforts alone are insufficient to maximize the full potential of synthetic biology. This article reviews the advancements in protein engineering techniques for improving biocatalytic properties to optimize engineered pathways in host systems, which are instrumental to achieve high titer production of target molecules. We also discuss the specific means by which protein engineering has improved metabolic engineering efforts and provide our assessment on its potential to continue to advance biology engineering as a whole.     

面向先进生物燃料的合成生物学

先进生物燃料一般指来自于非粮食原料的交通运输用生物燃料。近年来,先进生物燃料的发展引起了众多国家的浓厚兴趣,然而,先进生物燃料正处于关键的技术研发阶段,还需经过大量研发以突破技术障碍和示范生产活动后方能进行商业化部署。过去10年内,合成生物学研究大量兴起并不断取得突破,使人们有可能人工设计构建新的高效生命系统,克服生物燃料发展的技术瓶颈,进行先进生物燃料的生产。在介绍先进生物燃料与合成生物学的发展现状的基础上,分析了合成生物学在先进生物燃料研发中的重要价值与研发进展,探讨了合成生物学的发展潜力。     

gAd重组质粒的构建及其在大肠杆菌中的表达

为了建立人脂联素球状结构域(gAd)原核高效表达体系,分离纯化gAd并检测其生物活性,从淋巴细胞中提取人基因组DNA,PCR扩增出含有脂联素编码序列的片段,通过T-A克隆的方法克隆入pMD18-T载体中,然后设计适当的引物引入起始密码、终止密码以及相应的酶切位点,把脂联素球状结构域(gAd)基因亚克隆到表达载体pBV220,将序列鉴定正确的重组质粒转化入大肠杆菌DH5α中,用42℃温控诱导目的蛋白的表达;超声破菌,分离纯化包涵体,8mol/L尿素溶解,采用梯度稀释法复性重组蛋白,动物实验测定其活性。结果在大肠杆菌中成功实现了gAd稳定的以包涵体形式的高效表达,表达量约占全菌蛋白的20%,经聚丙烯酰胺凝胶电泳鉴定分离得到的包涵体具有较高纯度,复性后具有降低家兔血糖和游离脂肪酸的作用。为进一步研究gAd的生物学活性、作用机制奠定了基础。     

Synthetic Escherichia coli consortia engineered for syntrophy demonstrate enhanced biomass productivity

Synthetic Escherichia coli consortia engineered for syntrophy demonstrated enhanced biomass productivity relative to monocultures. Binary consortia were designed to mimic a ubiquitous, naturally occurring ecological template of primary productivity supported by secondary consumption. The synthetic consortia replicated this evolution-proven strategy by combining a glucose positive E. coli strain, which served as the system's primary producer, with a glucose negative E. coli strain which consumed metabolic byproducts from the primary producer. The engineered consortia utilized strategic division of labor to simultaneously optimize multiple tasks enhancing overall culture performance. Consortial interactions resulted in the emergent property of enhanced system biomass productivity which was demonstrated with three distinct culturing systems: batch, chemostat and biofilm growth. Glucose-based biomass productivity increased by ∼15, 20 and 50% compared to appropriate monoculture controls for these three culturing systems, respectively. Interestingly, the consortial interactions also produced biofilms with predictable, self-assembling, laminated microstructures. This study establishes a metabolic engineering paradigm which can be easily adapted to existing E. coli based bioprocesses to improve productivity based on a robust ecological theme.     

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.