Metabolic Engineering Communications

Yarrowia lipolytica is an oleaginous yeast with ever growing popularity in the metabolic engineering circles. It is well known for its ability to accommodate a high carbon flux through acetyl-CoA and is being extensively studied for production of chemicals derived from it. We investigated the effects of modifying the upstream metabolism leading to acetyl-CoA on beta-carotene production, including its titer, yield, and content. We examined the pyruvate and the phosphoketolase bypass, both of which are stoichiometrically favorable for the production of acetyl-CoA and beta-carotene. Additionally, we examined a set of genes involved in the carnitine shuttle. We constructed a set of parental strains derived from the Y. lipolytica YB-392 wild-type strain, each with a different capacity for beta-carotene production, and introduced genes for the metabolic bypasses in each of the constructed parental strains. Subsequently, we subjected these constructed strains to a series of fermentation experiments. We discovered that altering the upstream metabolism in most cases led to a decrease in performance for production of beta-carotene. Most notably, a set of genes used for the pyruvate bypass (YlPDC2, YlALD5, and YlACS1) and the phosphoketolase bypass (LmXPK and CkPTA) resulted in the reduction of more than 30%. Our findings contribute to our understanding of Y. lipolyticas metabolic capacity and suggest that production of beta-carotene is most likely not limited solely by the acetyl-CoA supply. We also highlight a complex nature of engineering Y. lipolytica, as most of the results from studies using a different strain background did not align with our findings.

BackgroundThe yeast Komagataella phaffii has become a very popular host for heterologous protein expression, very often based on the use of the AOX1 promoter, which becomes activated when cells are grown with methanol as a carbon source. However, the use of methanol in industrial settings is not devoid of problems, and therefore, the search for alternative expression methods has become a priority in the last few years. ResultsWe recently reported that moderate alkalinization of the medium triggers a fast and wide transcriptional response in K. phaffii. Here, we present the utilization of three alkaline pH-responsive promoters (pTSA1, pHSP12 and pPHO89) to drive the expression of a secreted phytase enzyme by simply shifting the pH of the medium to 8.0. These promoters offer a wide range of strengths, and the production of phytase could be modulated by adjusting the pH to specific values. The TSA1 and PHO89 promoters offered exquisite regulation, with virtually no enzyme production at acidic pH, while limitation of Pi in the medium further potentiated alkaline pH-driven phytase expression from the PHO89 promoter. An evolved strain based on this promoter was able to produce twice as much phytase as the reference pAOX1-based strain. Functional mapping of the TSA1 and HSP12 promoters suggests that both contain at least two alkaline pH-sensitive regulatory regions. ConclusionsOur work shows that the use of alkaline pH-regulatable promoters could be a useful alternative to methanol-based expression systems, offering advantages in terms of simplicity, safety and economy.

Abscisic acid (ABA) is a high-value product with agricultural, medical and nutritional applications. We previously constructed an ABA cell factory by expressing the ABA metabolic pathway from Botrytis cinerea in the biotechnological workhorse Saccharomyces cerevisiae. In this study, we aimed to improve ABA production and explored various rational engineering targets mostly focusing on increasing the activity of two rate-limiting cytochrome P450 monooxygenases of the ABA pathway, BcABA1 and BcABA2. We evaluated the effects of overexpression and knock-down of cell membrane transporters, expression of heterologous cytochrome b5, overexpression of a rate-limiting heme biosynthesis gene and overexpression or knock-out of genes involved in ER membrane homeostasis. One of the genes involved in ER membrane homeostasis, PAH1, was identified as the most promising engineering target. Knock-out of PAH1 improved ABA titers, but also caused a sever growth defect. By replacing the PAH1 promoter with a weak minimal promoter, it was possible to mediate the growth defect while still improving ABA production. In this report we were able to improve the ABA cell factory and furthermore provide valuable insights for future studies aiming to engineer cytochrome P450 monooxygenases. One-sentence summaryIn this study we explored various strategies to improve heterologous abscisic acid production in Saccharomyces cerevisiae and identified fine-tuning of the PAH1 gene as a promising engineering strategy.

Combinatorial approaches in metabolic engineering enable the optimization of multigene pathways, thereby improving product titers. However, the optimization of complex metabolic pathways is hindered by their multiple interactions. Testing all possible combinations of suitable genetic parts is often prevented by the large number of possible variants. A valuable alternative to this is to use statistical design of experiments and linear modeling to collect important information for optimization without testing every possible combination. The shikimate pathway is an example of a complex metabolic pathway involved in the production of aromatic compounds, which are prevalent in industry. In this study, we explore the impact of the modulation of the expression levels of all the genes in the shikimate and para-aminobenzoic acid (pABA) biosynthesis pathways for pABA production (a widely used industrial intermediate) in Pseudomonas putida. We used this approach to select 14 representative strains from a total of 512 possible combinations. We obtained a range of product titers from 2 to 186.2 mg/l. This information was used to guide a second round of strain construction to further increase the production to 232.1 mg/l. Using this strategy, we demonstrate that aroB expression, encoding 3-dehydroquinate synthase, is a significant limiting factor in the production of pABA.

Transcriptomics is a powerful approach for functional genomics and systems biology, yet it can also be used for genetic part discovery. Genetic part discovery has never been more necessary, as advances in synthetic biology increase the number of tractable organisms that need tunable gene expression for genetic circuits and metabolic pathways. Therefore, approaches are needed to assess a tractable organism and obtain a convenient set of genetic parts to support future research. Here, we describe a genomic and transcriptomic approach to derive a modular integrative part library with constitutive and regulated promoters in the basidiomycete yeast Xanthophyllomyces dendrorhous CBS 6938. X. dendrorhous is currently the sole biotechnologically relevant organism in the Tremellomycete family - it produces large amounts of astaxanthin, especially under oxidative stress and exposure to light. Particularly for this yeast, there are not large libraries of parts from related organisms that could be transferred. They must be derived. To do this, a contiguous genome was first obtained through combined short read and long read sequencing. Then, differential gene expression (DGE) analysis using transcriptomics was performed, comparing oxidative stress and exposure to different wavelengths of light. This revealed a set of putative light-responsive regulators that mediate a complex survival response to ultraviolet (UV) where X. dendrorhous upregulates aromatic amino acid and tetraterpenoid biosynthesis and downregulates central carbon metabolism and respiration. The DGE data was then used to derive 26 constitutive and regulated gene expression elements from the genome. The gene expression elements were designed to be compatible with a new modular cloning system for X. dendrorhous which includes integration sites, terminators, selection markers, and reporters. Each element was characterized by luciferase assay of an integrated gene expression cassette. Notably, a novel promoter from a hypothetical gene that has 9-fold activation upon UV exposure was characterized. This study defines an advanced modular genetic part collection for engineering the basidiomycete X. dendrorhous CBS 6938 while simultaneously discovering potential targets for increasing tetraterpenoid biosynthesis. Further, it demonstrates that -omics-to-parts workflows can simultaneously provide useful genomic data and advance genetic tools for nonconventional microbes, particularly those without a related model organism. This approach will be broadly useful in current efforts to engineer diverse microbes. KEY POINTSO_LIOmics-to-parts can be applied to non-model organisms for rapid "onboarding". C_LIO_LI26 promoters native to X. dendrorhous were identified. C_LIO_LIOmics revealed unique photobiology in X. dendrorhous. C_LI

Thermophilic anaerobic organisms, particularly species that can naturally degrade lignocellulosic biomass, show great promise for next generation bioprocessing. This has led to the development of nascent genetic systems to metabolically engineer these non-model organisms. However, a major challenge remains a lack of reliable reporter systems compatible with the combination of thermophilic and anaerobic growth conditions. Additionally, native glycoside hydrolases in these organisms limit the usefulness of traditional glycosidic enzyme reporters (e.g. LacZ) because of the native background activity present on para-nitrophenyl glucoside substrates. Here we describe the development of a straightforward and robust enzymatic reporter system that overcomes these challenges in Anaerocellum (f. Caldicellulosiruptor) bescii, an anaerobic, extremely thermophilic (Topt [~]78 {degrees}C), lignocellulolytic bacterium. Our method is based on heterologous expression of hyperthermophilic archaeal galactosidases: an -galactosidase from Pyroccous furiosus (Pfgal), and a {beta}-galactosidase from Caldivirga maquilingensis (Cm{beta}gal). We show that these reporters produce strong, orthogonal signals on colorimetric substrates at high temperatures ([≥]90{degrees}C) that eliminate background activity from endogenous galactosidases. We then demonstrate the capability of Cm{beta}gal, the stronger of the two reporters, to distinguish differences in levels of expression between A. bescii promoter sequences, which we verify through qRT-PCR. With its high signal to noise ratio and ease of use, this reporter system offers a reliable method for assessing protein expression in anaerobic thermophilic organisms, opening doors to improved genetic tools and metabolic engineering applications for industrial biotechnology.

BACKGROUNDSugarcane hemicellulosic material is a compelling source of usually neglected xylose that could figure as feedstock to produce chemical building blocks of high economic value, such as xylitol. In this context, Saccharomyces cerevisiae strains typically used in the Brazilian bioethanol industry are a robust chassis for genetic engineering, given their robustness towards harsh operational conditions and outstanding fermentation performance. Nevertheless, there are no reports on the use of these strains for xylitol production using sugarcane hydrolysate. RESULTSPotential single-guided RNA off-targets were analyzed in two preeminent industrial strains (PE-2 and SA-1), providing a database of 5-NGG 20 nt sequences, and guidelines for the fast and cost-effective CRISPR-editing of such strains. After genomic integration of a NADPH-preferring xylose reductase (XR), FMYX (SA-1 ho{Delta}::xyl1) and CENPKX (CEN.PK-122 ho{Delta}::xyl1) were tested in varying cultivation conditions for xylitol productivity to infer influence of the genetic background. Near-theoretical yields were achieved for all strains, however the industrial consistently outperformed the laboratory strain. Batch fermentation of raw sugarcane bagasse hydrolysate with remaining solid particles represented a challenge for xylose metabolization and 3.65 {+/-} 0.16 g/L xylitol titre was achieved by FMYX. Finally, quantification of NADPH - cofactor implied in XR activity - revealed that FMYX has 33% more available cofactors than CENPKX. CONCLUSIONSAlthough widely used in several S. cerevisiae strains, this is the first report of CRISPR-Cas9 editing major yeast of the Brazilian bioethanol industry. Fermentative assays of xylose consumption revealed that NADPH availability is closely related to mutant strains performance. We also pioneer the use of sugarcane bagasse as a substrate for xylitol production. Finally, we demonstrate how industrial background SA-1 is a compelling chassis for the second-generation industry, given its inhibitor tolerance and better redox environment that may favor production of reduced sugars.

Some of the most metabolically diverse species of bacteria (e.g., Actinobacteria) have higher GC content in their DNA, differ substantially in codon usage, and have distinct protein folding environments compared to tractable expression hosts like Escherichia coli. Consequentially, expressing biosynthetic gene clusters (BGCs) from these bacteria in E. coli frequently results in a myriad of unpredictable issues with protein expression and folding, delaying the biochemical characterization of new natural products. Current strategies to achieve soluble, active expression of these enzymes in tractable hosts, such as BGC refactoring, can be a lengthy trial-and-error process. Cell-free expression (CFE) has emerged as 1) a valuable expression platform for enzymes that are challenging to synthesize in vivo, and as 2) a testbed for rapid prototyping that can improve cellular expression. Here, we use a type III polyketide synthase from Streptomyces griseus, RppA, which catalyzes the formation of the red pigment flaviolin, as a reporter to investigate BGC refactoring techniques. We synergistically tune promoter and codon usage to improve flaviolin production from cell-free expressed RppA. We then assess the utility of cell-free systems for prototyping these refactoring tactics prior to their implementation in cells. Overall, codon harmonization improves natural product synthesis more than traditional codon optimization across cell-free and cellular environments. Refactoring promoters and/or coding sequences via CFE can be a valuable strategy to rapidly screen for catalytically functional production of enzymes from BCGs. By showing the coordinators between CFE versus in vivo expression, this work advances CFE as a tool for natural product research. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=104 SRC="FIGDIR/small/569483v1_ufig1.gif" ALT="Figure 1"> View larger version (21K): org.highwire.dtl.DTLVardef@1aebfceorg.highwire.dtl.DTLVardef@1b289f1org.highwire.dtl.DTLVardef@7e46b4org.highwire.dtl.DTLVardef@53f480_HPS_FORMAT_FIGEXP M_FIG C_FIG

Extensive usage of plant-based oils, especially palm oil, has led to environmental and social issues, such as deforestation and loss of biodiversity, thus sustainable alternatives are required. Microbial oils, especially from Yarrowia lipolytica, offer a promising solution due to their similar composition to palm oil, low carbon footprint, and ability to utilize low-cost substrates. In this study, we employed the Design-Build-Test-Learn (DBTL) approach to enhance lipid production in Y. lipolytica. We systematically evaluated predictions from the genome-scale metabolic model to identify and overcome bottlenecks in lipid biosynthesis. We tested the effect of predicted medium supplements and genetic intervention targets, including the overexpression of ATP-citrate lyase (ACL), acetyl-CoA carboxylase (ACC), threonine synthase (TS), diacylglycerol acyltransferase(DGA1), the deletion of citrate exporter gene (CEX1) and disruption of {beta}-oxidation pathway (MFE1). Combining TS and DGA1 overexpression in the{Delta} mfe_{Delta}cex background achieved a remarkable 200% increase in lipid content (56 % w/w) and a 230% increase in lipid yield on glycerol. These findings underscore the potential of Y. lipolytica as an efficient microbial cell factory for fatty acid production. Our study advances the understanding of lipid metabolism in Y. lipolytica and demonstrates a viable approach for developing sustainable and economically feasible alternatives to palm oil. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=75 SRC="FIGDIR/small/606002v1_ufig1.gif" ALT="Figure 1"> View larger version (20K): org.highwire.dtl.DTLVardef@1394cf6org.highwire.dtl.DTLVardef@ebdd5eorg.highwire.dtl.DTLVardef@1126ab2org.highwire.dtl.DTLVardef@1ae028_HPS_FORMAT_FIGEXP M_FIG C_FIG We followed the Design-Build-Test-Learn approach to identify and overcome bottlenecks in lipid biosynthesis in Y. lipolytica. DBTL intertwined the predictions from the metabolic model with addressed bottlenecks, investigated the effect of genetic interventions and medium supplements on lipid content, and ultimately defined an efficient strain design strategy.

The budding yeast Saccharomyces cerevisiae is a widely utilized host cell for recombinant protein production due to its well studied and annotated genome, its ability to secrete large and post-translationally modified proteins, fast growth and cost-effective culturing. However, recombinant protein yields from S. cerevisiae often fall behind that of other host systems. To address this, we developed a high throughput screen of wild, industrial and laboratory S. cerevisiae isolates to identify strains with a natural propensity for greater recombinant protein production, specifically focussing on laccase multicopper oxidases from the fungi Trametes trogii and Myceliophthora thermophila. Using this method, we identified 20 non-laboratory strains with higher capacity to produce active laccase. Interestingly, lower levels of laccase mRNA were measured in most cases, indicating that the drivers of elevated protein production capacity lie beyond the regulation of recombinant gene expression. We characterized the identified strains using complementary genomic and proteomic approaches to reveal several potential pathways driving the improved expression phenotype. Gene ontology analysis suggests broad changes in cellular metabolism, specifically in genes/proteins involved in carbohydrate catabolism, thiamine biosynthesis, transmembrane transport and vacuolar degradation. Targeted deletions of the hexose transporter HXT11 and the Coat protein complex II interacting paralogs PRM8 and 9, involved in ER to Golgi transport, resulted in significantly improved laccase production from the S288C laboratory strain. Whereas the deletion of the Hsp110 SSE1 gene, guided by our proteomic analysis, also led to higher laccase activity, we did not observe major changes of the protein homeostasis network within the strains with higher laccase activity. This study opens new avenues to leverage the vast diversity of Saccharomyces cerevisiae for recombinant protein production, as well as offers new strategies and insights to enhance recombinant protein yields of current strains.

Integrated metabolic engineering approaches combining system and synthetic biology tools allow the efficient designing of microbial cell factories to synthesize high-value products. In the present study, in silico design algorithms were used on the latest yeast genome-scale model 8.5.0 to predict potential genomic modifications that could enhance the production of early-step Taxol(R) in previously engineered Saccharomyces cerevisiae cells. The solution set containing genomic modification candidates was narrowed down by employing the COnstraints Based Reconstruction and Analysis (COBRA) methods. 17 genomic modifications consisting of nine gene deletions and eight gene overexpression were screened using wet-lab studies to determine whether these modifications can increase the production yield of taxadiene, the first metabolite in the Taxol(R) through the mevalonate pathway. Depending on the cultivation condition, most of the single genomic modifications resulted in higher taxadiene production. The best-performing strain, named KM32, contained four overexpressed genes, ILV2, TRR1, ADE13 and ECM31, from the branched-chain amino acid biosynthesis, thioredoxin system, de novo purine synthesis, and the pantothenate pathway, respectively. Using KM32, taxadiene production was increased by 50%, reaching 215 mg/L of taxadiene. The engineered strain also produced 43.65 mg/L of taxa-4(20),11-dien-5-ol (T5-ol), and 26.2 mg/L of taxa-4(20),11-dien-5--yl acetate (T5Ac) which are the highest productions of these early-step Taxol(R) metabolites reported until now in S. cerevisiae. The findings of this study highlight that the use of computational and integrated approaches can ensure determining promising modifications that are difficult to estimate intuitively to develop yeast cell factories.

Homologation of amino acids, the addition or deletion of a methylene group onto their side chains, has the potential to increase the biostability and bioavailability of peptide natural products. The first enzyme in the homologation pathway, HphA, has been previously characterized and is substrate selective. Bioinformatics studies were used to identify amino acids in the active site of HphA, which may play a role in substrate selection, by comparison to homologous enzymes, homocitrate synthase (HCS) and 2-isopropylmalate synthase (IPMS). Single point mutants to five amino acid residues in the HphAs active site were created to mimic those of HCS and IPMS. Their activities were measured via time-course assays with the natural substrates for HCS and IPMS. Residue A73 was identified as important in the substrate specificity of HphA; therefore, six different additional mutations were generated and tested with nine substrates with various side chains. The HphA A73L mutant exhibited the highest activity compared to the other mutants, showing activity with counterparts of L-Tyr (HphA natural substrate), L-Val (IPMS natural substrate), L-Leu, L-Ser, L-Trp, and L-Asp. Kinetic assays were taken with HphA A73L with the active substrates and compared with kinetic data from HphA WT, HCS, and IPMS. These results demonstrated that the A73L mutation significantly relaxed the substrate specificity of HphA, indicating its amenability to engineering. This research will serve as the foundation for future metabolic engineering studies on the enzymatic homologation pathway of amino acids.

Kluyveromyces marxianus is a food-safe yeast with great potential for producing heterologous proteins. Improving the yield in K. marxianus remains a challenge, while incorporating large-scale functional modules poses a technical obstacle in engineering. To address these issues, linear and circular yeast artificial chromosomes of K. marxianus (KmYACs) were constructed and loaded with disulfide bond formation modules from Pichia pastoris or K. marxianus. These modules contained up to 7 genes with a maximum size of 15 kb. KmYACs carried telomeres either from K. marxianus or Tetrahymena. KmYACs were transferred successfully into K. marxianus and stably propagated without affecting the normal growth of the host, regardless of the type of telomeres and configurations of KmYACs. KmYACs increased the overall expressions of disulfide bond formation genes and significantly enhanced the yield of various heterologous proteins. In high-density fermentation, the use of KmYACs resulted in a glucoamylase yield of 16.8 g/L, the highest reported level to date in K. marxianus. Transcriptomic and metabolomic analysis of cells containing KmYACs suggested increased FAD biosynthesis, enhanced flux entering the TCA cycle and a preferred demand for lysine and arginine as features of cells overexpressing heterologous proteins. Consistently, supplementing lysine or arginine further improved the yield. Therefore, KmYAC provides a powerful platform for manipulating large modules with enormous potential for industrial applications and fundamental research. Transferring the disulfide bond formation module via YACs proves to be an efficient strategy for improving the yield of heterologous proteins, and this strategy may be applied to optimize other microbial cell factories. Impact StatementIn this study, yeast artificial chromosomes of K. marxianus (KmYACs) were constructed and successfully incorporating modules for large-scale disulfide bond formation. KmYACs were stably propagated in K. marxianus without compromising the normal growth of the host, irrespective of the selection of telomeres (either Tetrahymena or K. marxianus) and configuration (either linear or circular). KmYACs notably enhanced the expressions of various heterologous proteins, with further yield improvement by supplementing lysine or arginine in the medium. Our findings affirm KmYAC as a robust and versatile platform for transferring large-scale function modules, demonstrating immense potential for both industrial applications and fundamental research.

In this study, we employ a two-stage dynamic metabolic control strategy to enhance the NADPH dependent biosynthesis of ethylene glycol from xylose in engineered E. coli. We evaluated the use of metabolic valves to dynamically reduce the enzymes involved in competitive pathways which compete for substrates with ethylene glycol biosynthesis, as well as regulatory pathways aimed at increasing NADPH fluxes. The performance of our initial strains with limits in pathway expression levels was improved by the addition of competitive valves, but not by increases in NADPH flux. In contrast, improving pathway expression levels, led to strains improved significantly by our regulatory valves which improved NADPH flux, but not by the competitive valves. This is consistent with a central hypothesis that faster pathways in and of themselves can compete with other metabolic fluxes by being faster and are better aided by regulatory changes capable of change rates elsewhere in metabolism. In this case in NADPH flux. Lastly, upon scale up to fed-batch bioreactors, our optimized strain, featuring dynamic control of two regulatory valves produced 140 g/L of EG in 70 hours at 92% of the theoretical yield.

Probiotic-based encapsulation offers unique advantages over purified enzymes, such as increased protection from thermal-, pH-, and protease-mediated degradation, for oral therapeutic delivery applications. However, one of the major disadvantages of whole-cell systems is lower reaction rate due to substrate-product transport limitations imposed by the cell membrane and/or wall. In this work, we explore the potential of different lactic acid bacteria (LAB) - Lacticaseibacillus rhamnosus GG (LGG), Lactococcus lactis (Ll), and Lactiplantibacillus plantarum (Lp) - as expression hosts for recombinant Anabaena variabilis phenylalanine ammonia-lyase (AvPAL*). AvPAL* is used as a therapeutic to treat Phenylketonuria (PKU), a rare autosomal recessive metabolic disorder. Among the three species tested, LGG showed the highest PAL activity followed by L. lactis. Next, we attempted to overcome mass transfer limitation in whole-cell biocatalysts in two ways - expression of heterologous transporters and treatment with different chemical surfactants. Engineered strains expressing heterologous transporters exhibited approximately 3-4-fold increased PAL activity, while chemical treatment did not improve reaction rates. This work highlights the challenges and advances in realizing the potential of LAB as biotherapeutics. Impact StatementOral delivery of phenylalanine ammonia-lyase (PAL) using engineered probiotics is a promising therapeutic strategy to treat Phenylketonuria (PKU). Although PAL expression has been reported in probiotic strains of Limosilactobacillus reuteri, Lactococcus lactis, and E. coli, a systematic comparison of lactic acid bacteria (LAB) is underexplored. This study explores the potential of multiple LAB as hosts for PAL expression and investigates strategies to improve whole cell enzymatic activity. The findings from this study provide a foundation for implementing LAB-based delivery of PAL and indicate an important step towards development of probiotic platform for PKU management.

Formate is a promising energy carrier that could be used to transport renewable electricity. Some acetogenic bacteria, such as Eubacterium limosum, have the native ability to utilise formate as a sole substrate for growth, which has sparked interest in the biotechnology industry. However, formatotrophic metabolism in acetogens is poorly understood, and a systems-level characterization in continuous cultures is yet to be reported. Here we present the first steady-state dataset for E. limosum formatotrophic growth. At a defined dilution rate of 0.4 d-1, there was a high specific uptake rate of formate (280{+/-}56 mmol/gDCW/d), however, most carbon went to CO2 (150{+/-}11 mmol/gDCW/d). Compared to methylotrophic growth, protein differential expression data and intracellular metabolomics revealed several key features of formate metabolism. Upregulation of pta appears to be a futile attempt of cells to produce acetate as the major product. Instead, a cellular energy limitation resulted in the accumulation of intracellular pyruvate and upregulation of Pfl to convert formate to pyruvate. Therefore, metabolism is controlled, at least partially, at the protein expression level, an unusual feature for an acetogen. We anticipate that formate could be an important one-carbon substrate for acetogens to produce chemicals rich in pyruvate, a metabolite generally in low abundance during syngas growth.

Engineered microbial cells can produce a wide range of industrially relevant chemicals such as pharmaceuticals, fuels, and material precursors. The use of microbial cells for chemical production from renewable resources could replace oil-based chemistry and contribute to tackling global grand challenges of climate warming and resource insufficiency. However, it is underexplored how the chemical production by engineered microbial cells is affected by them being proliferating catalysts exposed to Darwinian selection. All proliferating cells are unavoidably subjected to Darwinian selection which favors fitness beneficial phenotypes that seldom include engineered chemical production. Here, adaptive laboratory evolution was performed to characterize the effect of Darwinian selection on Saccharomyces cerevisiae strains expressing two different heterologous pigment producing pathways, blue-coloured indigoidine and red-coloured bikaverin. S. cerevisiae haploid S288C based strain had the genes for bikaverin synthesis integrated in the same locus as the genes for indigoidine synthesis in haploid and diploid S. cerevisiae CEN.PK-based strains. The two different pigment producing strains were cultivated in rich and synthetic defined (without amino acids) media with respirative galactose as the sole carbon source for [~]200 and [~]175 generations, respectively. While CEN.PK-based lineages rapidly lost indigoidine pigmentation independent of growth medium or ploidy, bikaverin pigmentation in S288C-based lineages was robust. The adaptive solutions detected in S288C-based bikaverin producing lineages involved mutations in the galactose utilization pathway whereas the heterologous indigoidine pathway was recurrently mutated in the corresponding lineages. When the bikaverin producing S288C-based lineages were adaptively evolved on the favored glucose carbon source instead, pigmentation declined. Thus, the robustness of the engineered traits appears dependent on challenges in production environment and availability and fitness benefits of adaptive solutions. Whether or when engineered traits of microbial cells are robust when they proliferate in industrial use has scarcely been assessed. Here light was shed to the factors affecting the adaptive loss of engineered traits to facilitate the development of strains and biotechnological processes, including chemical environments, for robust long-term production.

Lignin-derived aromatics are abundant in depolymerized lignin but remain remain untilized as carbon sources for commercial production of bulk chemicals. Among these aromatics, p-coumaric acid can be funnelled through the {beta}-ketoadipate pathway toward cis,cis-muconic acid (ccMA), a precursor of bio-based adipic and terephthalic acids. However, efficient ccMA production by Acinetobacter baylyi ADP1 is constrained by toxicity of catechol (the immediate precursor of ccMA), inefficient channelling of protocatechuate (PCA) metabolism towards ccMA production, and absence of PCA decarboxylase for converting PCA to catechol. Therefore, in this study, we engineered a modular co-culture system, combining engineered strains of A. baylyi and E. coli, for ccMA production from synthetic p-coumaric acid. Deletion of catB and catC genes and overexpression of catA in A. baylyi GJS_catA strain enabled near-stoichiometric conversion of catechol to ccMA ([~]90% carbon yield) with titres up to 56.4 mM ([~] 8 g/L) under controlled fed-batch feeding. The strain was further engineered (A. baylyi GJS2_catA) to convert p-coumaric acid to PCA. Due to the inactivity of heterologous PCA decarboxylase (aroY gene) in A. baylyi, this gene was incorporated in E. coli where it exhibited activity through PCA to catechol conversion. Upon its production by E.coli_aroY in the co-culture, catechol is instantaneously converted to ccMA by A. baylyi GJS2_catA strain. In a two-step process, 22 mM p-coumaric acid was initially converted to 20.6 mM PCA (A. baylyi GJS2_catA), which was further converted to catechol (E.coli_aroY) and finally to 18.55 mM ccMA (2.63 g L-{superscript 1}) by A. baylyi GJS2_catA. This process was validated by the valorization of lignin-derived p-coumaric acid to ccMA. While the modular strategy developed in this study substantially improves ccMA titres, it also highlights the bottlenecks in A. baylyi metabolic pathway engineering for lignin valorization. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=147 SRC="FIGDIR/small/709578v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@a83daborg.highwire.dtl.DTLVardef@168c6b6org.highwire.dtl.DTLVardef@1ce0abdorg.highwire.dtl.DTLVardef@23200b_HPS_FORMAT_FIGEXP M_FIG C_FIG

Consumption of plant-based oils, especially palm oil, is increasing at an alarming rate. This boosted demand for palm oil has drastic effects on the ecosystem as its production is not sustainable. C. oleaginosus is an oleaginous yeast with great potential as a source for microbial-based oil production which is a sustainable alternative to palm oil. However, microbial processes are not yet economically feasible to replace palm oil, unto a large extent due to limited lipid accumulation in the microbe, which limits titers and productivity. Therefore, obtaining enhanced lipid accumulation is essential to render this process commercially viable. Herein we deployed a systematic, iterative Design-Build-Test-Learn (DBTL) approach to establish C. oleaginosus as an efficient fatty acid production platform. In the design step, we identified genes and medium supplements that improved lipid content. To this end, we compared its transcriptional landscape in conditions with high and low amounts of lipid production. A metabolic map was reconstructed and integrated with the expression data. Finally, the genome-scale metabolic model of C. oleaginosus was used to explore metabolism under maximal growth and maximal production conditions. The combination of these four analyses led to the selection of four overexpression targets (ATP-citrate lyase (ACL1), acetyl-CoA carboxylase (ACC), threonine synthase (TS), and hydroxymethylglutaryl-CoA synthase (HMGS)) and five media supplements (biotin, thiamine, threonine, serine, and aspartate). We established an electroporation-based co-transformation method to implement selected genetic interventions. These findings were experimentally validated in the build and test steps of the DBTL approach by adding supplements into the medium and overexpressing the identified genes. Characterization of ACL, ACC, and TS at various C/N ratios, and the addition of medium supplements provided up to 56% (w/w) lipid content, and a 2.5-fold increase in total lipid in the glycerol and urea-based defined medium. In the learn step, quadratic models identified the optimum C/N ratios shifted towards around C/N240. These results firmly confirm C. oleaginous as a sustainable alternative to replace palm as an oil source. HighlightsO_LITranscriptional profile and metabolic model analyzed, predicting genetic targets and medium supplements. C_LIO_LIGenetic targets and medium supplements for improved oil production. C_LIO_LIThe genetic toolbox for C. oleaginosus was expanded (co-transformation method, promoters, genes, and terminators). C_LIO_LIExperimental validations showed that biotin, and threonine increased lipid content. C_LIO_LIOverexpression of ACL1, ACC, and TS in C. oleaginosus provided higher oil content. C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=76 SRC="FIGDIR/small/585731v1_ufig1.gif" ALT="Figure 1"> View larger version (21K): org.highwire.dtl.DTLVardef@e3b6org.highwire.dtl.DTLVardef@65d016org.highwire.dtl.DTLVardef@40952eorg.highwire.dtl.DTLVardef@22724_HPS_FORMAT_FIGEXP M_FIG C_FIG

Combinatorial pathway optimization is an important tool for industrial metabolic engineering to improve titer, yield, or productivity of strains. Machine learning has been increasingly applied on many aspects of the Design-Build-Test-Learn (DBTL) cycle, an engineering framework that aims to navigate through the large landscape of theoretically possible designs using an iterative approach. While machine learning-assisted recommendation strategies have been successfully used to optimize strains, they have so far been limited to relatively small design spaces with few targeted elements. This small design space may limit key strengths of these approaches, such as strong predictive capabilities of supervised machine learning and exploration-exploitation schemes widely used in reinforcement learning and Bayesian optimization. In this work, two DBTL cycles are performed on Saccharomyces cerevisiae for p-coumaric acid production. We first perform a large library transformation on eighteen genes with twenty promoters, which expands the size of the combinatorial design space significantly (approximately 170 million configurations), followed by a smaller model-guided recommendation round. We use a machine learning-assisted recommendation strategy, based on the gradient bandit algorithm, parametrized to balance explo- ration and exploitation. We show that our recommendation strategy has a better performance than strain recommendation strategy using greedy strategies, such as feature importance-based methods. While balancing between exploration and exploitation has been shown to be impor- tant in many applications, we provide the first direct experimental illustration of this effect by recommending strains for scenarios with increasing exploitative-ness. A clear effect of the exploration-exploitation scenario on the p-coumaric acid production distribution of strains is observed, where a balanced scenario shows a higher variation in production over an exploratory or exploitative scenario. Interestingly, using an alternative top-producing parent strain with this balanced exploration-exploitation scheme gives the highest p-coumaric acid production, suggest- ing that model predictions outside of the training data distribution can still be used to perform successful strain recommendation. Overall, these results suggest that using machine learning- assisted strategies with balanced exploration-exploitation can be used to efficiently explore large combinatorial design spaces. The best engineered strain shows an increase in p-coumaric acid production of 137% over the parent strains and a 0.07g/g yield on glucose.