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Chinese hamster ovary (CHO) cells are the superior host cell culture models used for the bioproduction of therapeutic proteins. One of the prerequisites for bioproduction using CHO cell lines is the need to generate stable CHO cell lines with optimal expression output. Antibiotic selection is commonly employed to isolate and select CHO cell lines with stable expression, despite its potential negative impact on cellular metabolism and expression level. Herein, we present a novel proline-based selection system for the isolation of stable CHO cell lines. The system exploits a dysfunctional proline metabolism pathway in CHO cells by using a pyrroline-5-carboxylate synthase gene as a selection marker, enabling selection to be made using proline-free media. The selection system was demonstrated by expressing green fluorescent protein (GFP) and a monoclonal antibody. When GFP was expressed, more than 90% of stable transfectants were enriched within 2 weeks of the selection period. When a monoclonal antibody was expressed, we achieved comparable titers (3.35 ± 0.47 μg/mL) with G418 and Zeocin-based selections (1.65 ± 0.46 and 2.25 ± 0.07 μg/mL, respectively). We further developed a proline-based coselection by using S. cerevisiae PRO1 and PRO2 genes as markers, which enables the generation of 99.5% double-transgenic cells. The proline-based selection expands available selection tools and provides an alternative to antibiotic-based selections in CHO cell line development.

Cyanobacteria are of great importance to Earth's ecology. Due to their capability in photosynthesis and C1 metabolism, they are ideal microbial chassis that can be engineered for direct conversion of carbon dioxide and solar energy into biofuels and biochemicals. Facilitated by the elucidation of the basic biology of the photoautotrophic microbes and rapid advances in synthetic biology, genetic toolkits have been developed to enable implementation of nonnatural functionalities in engineered cyanobacteria. Hence, cyanobacteria are fast becoming an emerging platform in synthetic biology and metabolic engineering. Herein, the progress made in the synthetic biology toolkits for cyanobacteria and their utilization for transforming cyanobacteria into microbial cell factories for sustainable production of biofuels and biochemicals is outlined. Current techniques in heterologous gene expression, strategies in genome editing, and development of programmable regulatory parts and modules for engineering cyanobacteria towards biochemical production are discussed and prospected. As cyanobacteria synthetic biology is still in its infancy, apart from the achievements made, the difficulties and challenges in applying and developing genetic toolkits in cyanobacteria for biochemical production are also evaluated., (© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

Recently, the bio-production of α,ω-dicarboxylic acids (DCAs) has gained significant attention, which potentially leads to the replacement of the conventional petroleum-based products. In this regard, the lipid accumulating yeast Candida tropicalis, has been recognized as a promising microbial host for DCA biosynthesis: it possess the unique ω-oxidation pathway where the terminal carbon of α-fatty acids is oxidized to form DCAs with varying chain lengths. However, despite such industrial importance, its cellular physiology and lipid accumulation capability remain largely uncharacterized. Thus, it is imperative to better understand the metabolic behavior of this lipogenic yeast, which could be achieved by a systems biological approach. To this end, herein, we reconstructed the genome-scale metabolic model of C. tropicalis, iCT646, accounting for 646 unique genes, 945 metabolic reactions, and 712 metabolites. Initially, the comparative network analysis of iCT646 with other yeasts revealed several distinctive metabolic reactions, mainly within the amino acid and lipid metabolism including the ω-oxidation pathway. Constraints-based flux analysis was, then, employed to predict the in silico growth rates of C. tropicalis which are highly consistent with the cellular phenotype observed in glucose and xylose minimal media chemostat cultures. Subsequently, the lipid accumulation capability of C. tropicalis was explored in comparison with Saccharomyces cerevisiae, indicating that the formation of "citrate pyruvate cycle" is essential to the lipid accumulation in oleaginous yeasts. The in silico flux analysis also highlighted the enhanced ability of pentose phosphate pathway as NADPH source rather than malic enzyme during lipogenesis. Finally, iCT646 was successfully utilized to highlight the key directions of C. tropicalis strain design for the whole cell biotransformation application to produce long-chain DCAs from alkanes. Biotechnol. Bioeng. 2016;113: 1993-2004. © 2016 Wiley Periodicals, Inc., (© 2016 Wiley Periodicals, Inc.)

Fatty aldehydes and alcohols are valuable precursors used in the industrial manufacturing of a myriad of specialty products. Herein, we demonstrate the de novo production of odd chain-length fatty aldehydes and fatty alcohols in Saccharomyces cerevisiae by expressing a novel biosynthetic pathway involving cytosolic thioesterase, rice α-dioxygenase and endogenous aldehyde reductases. We attained production titers of ∼20 mg/l fatty aldehydes and ∼20 mg/l fatty alcohols in shake flask cultures after 48 and 60 h respectively without extensive fine-tuning of metabolic fluxes. In contrast to prior studies which relied on bi-functional fatty acyl-CoA reductase to produce even chain-length fatty alcohols, our biosynthetic route exploits α-oxidation reaction to produce odd chain-length fatty aldehyde intermediates without using NAD(P)H cofactor, thereby conserving cellular resource during the overall synthesis of odd chain-length fatty alcohols. The biosynthetic pathway presented in this study has the potential to enable sustainable and efficient synthesis of fatty acid-derived chemicals from processed biomass., (© 2015 Wiley Periodicals, Inc.)

Short branched-chain fatty acids (SBCFAs, C4-6) are versatile platform intermediates for the production of value-added products in the chemical industry. Currently, SBCFAs are mainly synthesized chemically, which can be costly and may cause environmental pollution. In order to develop an economical and environmentally friendly route for SBCFA production, we engineered Saccharomyces cerevisiae, a model eukaryotic microorganism of industrial significance, for the overproduction of SBCFAs. In particular, we employed a combinatorial metabolic engineering approach to optimize the native Ehrlich pathway in S. cerevisiae. First, chromosome-based combinatorial gene overexpression led to a 28.7-fold increase in the titer of SBCFAs. Second, deletion of key genes in competing pathways improved the production of SBCFAs to 387.4 mg/L, a 31.2-fold increase compared to the wild-type. Third, overexpression of the ATP-binding cassette (ABC) transporter PDR12 increased the secretion of SBCFAs. Taken together, we demonstrated that the combinatorial metabolic engineering approach used in this study effectively improved SBCFA biosynthesis in S. cerevisiae through the incorporation of a chromosome-based combinatorial gene overexpression strategy, elimination of genes in competitive pathways and overexpression of a native transporter. We envision that this strategy could also be applied to the production of other chemicals in S. cerevisiae and may be extended to other microbes for strain improvement., (Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.)

Biological production of terminal alkenes has garnered a significant interest due to their industrial applications such as lubricants, detergents and fuels. Here, we engineered the yeast Saccharomyces cerevisiae to produce terminal alkenes via a one-step fatty acid decarboxylation pathway and improved the alkene production using combinatorial engineering strategies. In brief, we first characterized eight fatty acid decarboxylases to enable and enhance alkene production. We then increased the production titer 7-fold by improving the availability of the precursor fatty acids. We additionally increased the titer about 5-fold through genetic cofactor engineering and gene expression tuning in rich medium. Lastly, we further improved the titer 1.8-fold to 3.7 mg/L by optimizing the culturing conditions in bioreactors. This study represents the first report of terminal alkene biosynthesis in S. cerevisiae, and the abovementioned combinatorial engineering approaches collectively increased the titer 67.4-fold. We envision that these approaches could provide insights into devising engineering strategies to improve the production of fatty acid-derived biochemicals in S. cerevisiae., (Copyright © 2015 International Metabolic Engineering Society. Published by Elsevier Inc. All rights reserved.)

Microbial metabolic engineering has been extensively studied for valuable chemicals synthesis, generating numerous laboratory-scale successes, and has demonstrated its potential to serve as a platform that enables large-scale manufacturing of many chemicals that are currently derived via chemical synthesis. However, the commercialization potential of microbial chemical production frequently suffers from low productivity and yields, where one key limiting factor is the inherently low tolerance of host cells against toxic compounds that are present and/or generated during biological processing. Consequently, various microbial engineering strategies have been devised to endow producer microbes with tolerance phenotypes that would be required for economically viable production of the desired chemicals. In this review, we discuss key microbial engineering strategies, devised primarily based on rational and evolutionary methodologies, that have been effective in improving cellular tolerance against fermentation inhibitors, metabolic intermediates, and valuable end-products derived from lignocellulose bioprocessing., (Copyright © 2014 Elsevier Ltd. All rights reserved.)

Expression of heterologous proteins in metabolic engineering endeavors can be detrimental to host cells due to increased usage of cellular resources. Dynamic controls, where protein expression can be triggered on-demand, are effective for the engineering and optimization of bio-catalysts towards robust cell growth and enhanced biochemical productivity. Here, we describe the development and characterization of AND-gate dynamic controllers in Saccharomyces cerevisiae which combine two dynamic control strategies, inducible promoters and sensing-regulation. These dynamic controllers were constructed based on synthetic hybrid promoters. Promoter enhancer sequences were fused to a synthetic GAL1 core promoter containing DNA binding sites for the binding of a repressor that reduced DNA affinity upon interaction with key intermediates in a biochemical pathway. As fatty acids are key intermediates for production of fatty alcohols, fatty acid esters, alkenes, and alkanes, which are advanced biofuels, we used the fatty acid responsive FadR repressor and its operator sequence to demonstrate the functionality of the dynamic controllers. We established that the synthetic GAL1 core promoter can be used as a modular promoter part for constructing synthetic hybrid promoters and conferring fatty acid inducibility. We further showed the performance of the AND-gate dynamic controllers, where two inputs (fatty acid and copper presence/phosphate starvation) were required to switch the AND-gate ON. This work provides a convenient platform for constructing AND-gate dynamic controllers, that is, promoters that combine inducible functionality with regulation of protein expression levels upon detection of key intermediates towards the engineering and optimization of bio-catalytic yeast cells., (© 2013 Wiley Periodicals, Inc.)

Efficient production of biochemicals using engineered microbes as whole-cell biocatalysts requires robust cell viability. Robust viability leads to high productivity and improved bioprocesses by allowing repeated cell recycling. However, cell viability is negatively affected by a plethora of stresses, namely chemical toxicity and metabolic imbalances, primarily resulting from bio-synthesis pathways. Chemical toxicity is caused by substrates, intermediates, products, and/or by-products, and these compounds often interfere with important metabolic processes and damage cellular infrastructures such as cell membrane, leading to poor cell viability. Further, stresses on engineered cells are accentuated by metabolic imbalances, which are generated by heavy metabolic resource consumption due to enzyme overexpression, redistribution of metabolic fluxes, and impaired intracellular redox state by co-factor imbalance. To address these challenges, herein, we discuss a range of key microbial engineering strategies, substantiated by recent advances, to improve cell viability for commercially sustainable production of biochemicals from renewable resources., (Copyright © 2013 Elsevier Inc. All rights reserved.)

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., (Copyright © 2011 Elsevier Inc. All rights reserved.)