Synthetic and Systems Biotechnology

{beta}-galactosidases (BGs) are essential enzymes widely used in the food industry, particularly in the production of lactose-free products. Among them, the BG from Aspergillus oryzae is of industrial relevance due to its activity at acidic pH and moderate thermal tolerance. However, enhancing its catalytic performance remains a key challenge. Traditional enzyme engineering methods are time-consuming and resource-intensive, limiting their scalability. Recent advances in Artificial Intelligence (AI), particularly those based on Natural Language Processing, offer a promising alternative by enabling efficient exploration of protein sequence space and prediction of beneficial mutations. In this study, we introduce an ensemble-based, zero-shot Protein Language Model pipeline that reconciles predictions from six independent models (ESM2 and the five ESM1v variants) combined with a diversity-aware candidate selection strategy. Applied to the BG from A. oryzae, this approach identified beneficial mutations leading to novel enzyme variants with up to a four-fold increase in catalytic efficiency on oNPGal, a two-fold increase on lactose, and, independently, a T338I variant with markedly enhanced thermostability ({approx}80% residual activity after 24 h at 60 {degrees}C), all without requiring supervised fine-tuning on experimental fitness data. Our results demonstrate that consensus across an ensemble of PLMs can efficiently enrich beneficial substitutions in industrially relevant enzymes and substantially reduce the number of wet-lab candidates that need to be screened. Table of Contents graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=106 SRC="FIGDIR/small/726739v1_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@18084f7org.highwire.dtl.DTLVardef@99a102org.highwire.dtl.DTLVardef@19a64forg.highwire.dtl.DTLVardef@1f59cff_HPS_FORMAT_FIGEXP M_FIG C_FIG

Bacteriocins are ribosomally synthesized antimicrobial peptides with promising applications in biotechnology, particularly in food preservation and animal and human health. Circular bacteriocins are especially attractive due to their head-to-tail cyclized structure, which confers enhanced stability and antimicrobial potency relative to linear peptides. Here, we report an in vitro cell-free protein synthesis system coupled with an enhanced Split Intein-Mediated Ligation platform (IV-CFPS/SIML) for the efficient synthesis of circular bacteriocins through systematic evaluation of cyclization sites and alternative split inteins. Using enterocin AS-48 as a model, we systematically evaluated multiple serine-based cyclization sites in combination with three split inteins, NpuDnaE, Gp41-1, and SspGyrB, to identify configurations supporting efficient splicing and high antimicrobial activity. Gp41-1 emerged as the most effective intein and was subsequently applied to the production of garvicin ML, amylocyclicin, and 27 naturally occurring sequence variants, demonstrating that cyclization site selection, intein identity, and minor sequence variations strongly influence antimicrobial potency and target range. Finally, SIML expression cassettes encoded in pUC-derived vectors enabled in vivo production and functional expression of selected circular bacteriocins in recombinant Escherichia coli. Collectively, these results establish SIML as a versatile platform for in vitro and in vivo production, screening, and functional characterization of known and putative circular bacteriocins.

Genome synthesis is a major limitation in generative biology. Here, the half-sized genome of Escherichia coli was constructed by fleshing out an imperfect minimal genome through genome-scale debugging process. Our platform consists of integrated development environment (IDE) and runtime environment (RTE). The genome IDE supported the cell-free assembly of 200-300 kb plasmids and their in vivo fusion into a single 1.7 Mb plasmid. This imperfect genome was stably maintained in E. coli as a guest genome. The RTE relies on the restriction enzyme-mediated self-digestion of the host genome in the presence and absence of the RecA recombinase. The guest genome was tested, debugged, and partially replaced by the host genome to establish E. coli controlled by a 2.3-Mb genome. This is less than half in size of the wildtype and the smallest ever reported. Enfleshing a guest genome will facilitate genome printing that transforms AI-designed genomes into physical ones.

TEXT ABSTRACTCatalytic-RNA (cat-RNA) expressed from mobile DNA can record cellular events, such as the uptake of plasmids via horizontal gene transfer, by splicing a barcode onto 16S ribosomal RNA (rRNA) - a system termed RNA addressable modification (RAM). However, scaling RAM to record multiple simultaneous biological events requires large numbers of orthogonal cat-RNA whose signals reflect the biological features under investigation rather than variability arising from the barcode sequence. Here, we explore how to design orthogonal cat-RNA to record information about multiple plasmid-encoded traits in parallel. We show that cat-RNA having tRNA-derived barcodes with sequence variation in the anticodon stem-loop present greater signal consistency within Escherichia coli than mRNA-derived barcodes. When orthogonal cat-RNA designs harboring tRNA-derived barcodes were evaluated in Vibrio natriegens and Pseudomonas putida, increased variance was observed compared with Escherichia coli. Nevertheless, the signal consistency was sufficient to use these orthogonal cat-RNAs to report on the relative activities of four promoters and two origins of replication by sequencing barcoded-rRNA derived from the three organisms. These results show how RAM can be multiplexed to report on mobile DNA features in microbial communities and illustrate the importance of accounting for variability in RNA outputs when designing and interpreting multiplexed RNA barcoding data. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=88 SRC="FIGDIR/small/738544v1_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@406ebaorg.highwire.dtl.DTLVardef@259751org.highwire.dtl.DTLVardef@1f1512corg.highwire.dtl.DTLVardef@8384b_HPS_FORMAT_FIGEXP M_FIG C_FIG

Engineering the ethanologenic Gram-negative bacterium Z. mobilis for the secretion of hydrolytic enzymes is a key step towards establishing a biofuel cell factory that uses complex waste material as feedstock. Secretion strategies in Z. mobilis have exclusively relied on signal peptides, which limit protein transport to the periplasm. To achieve single-step secretion across the Z. mobilis double-layered membrane, we sought to identify a native Type I Secretion System (T1SS) tag for fusion to proteins of interest. While a T1SS operon had been identified in the Z. mobilis genome, its native cargo had remained unknown and the use of T1SS secretion tags had so far been unexplored. Here, bioinformatic analysis identified the Major Intrinsic Protein (MIP) as a putative T1SS cargo, and its role validated through fusion of C-terminal sequences of two lengths (61 and 141 amino acids) to a heterologous {beta}-galactosidase from Bacteroides thetaiotaomicron, expressed in Z. mobilis. The 141 amino acid tag, including two RTX domains, resulted in significantly higher secretion efficiency than the 61 amino acid tag lacking RTX repeats, consistent with the established role of RTX domains in preventing premature cytoplasmic folding, thus improving secretion. As extracellular secretion of hydrolytic enzymes has remained a major bottleneck in the development of Z. mobilis as a sustainable cell factory, the identification of a native T1SS secretion tag directly addresses this limitation, introducing a novel tool for enzyme delivery.

Monoterpene Indole Alkaloids (MIAs) are a diverse family of plant natural products with various medicinal applications. Although MIAs, such as vinblastine and reserpine, are clinically validated, sourcing of MIAs for clinical use or drug discovery from natural resources or via chemical synthesis is hampered due to their scarcity and chemical complexity. Refactoring MIA biosynthesis pathways in microbial cell factories could offer an alternative, more stable and potentially sustainable manufacturing route for alkaloid medicines and novel therapies. However, reaching commercially attractive titers, rates and yields remains challenging owing to the length and complexity of these metabolic pathways. One critical bottleneck is the low screening throughput and very high cost of the analytical methods used to quantify MIA for optimizing production. In this study, we evolved RamR, a promiscuous bacterial transcription factor to respond to five different MIAs, resulting in highly sensitive and selective sensor variants (EC50<10 M). X-ray crystallography and computational modeling provided insight into the MIA binding of the evolved biosensor variants. The RamR biosensing platform was functionalized in yeast and subsequently applied in a cost-effective semi-throughput screening campaign of a 188-gene overexpression library to identify high-performing cell factory designs for strictosidine, the common precursor for all MIAs. The fluorescent biosensor signal correlated with HPLC quantification (r2 = 0.932) allowing identification of single metabolic engineering hits which when combined yielded a maximum titer of >220 mg/L strictosidine, 3-fold higher than the parental reference strain. This study demonstrates the development of selective biosensors for MIAs and the cost-effective identification of novel metabolic engineering hits for optimizing MIA production in microbial cell factories.

Genome streamlining and pathway refactoring are powerful strategies for constructing controllable microbial chassis for both fundamental studies and applications. While rational design benefits from reduced genetic complexity, adaptive laboratory evolution (ALE) thrives on metabolic redundancy, creating a mismatch between optimal hosts for design and evolution. Here, we introduce a dual chassis framework (DUET) in which rational pathway construction and adaptive evolution are first carried out in an evolution-competent host, and the resulting optimized designs are subsequently transferred into a genetically stable chassis for deployment. Using the naturally evolvable bacterium Acinetobacter baylyi ADP1 and its genome-stabilized derivative (ISx), we applied this framework to the {beta}-ketoadipate pathway, a central hub for aromatic compound catabolism. We first streamlined the native network by deleting individual pathway branches and then engineered a minimal synthetic route that merges protocatechuate and catechol metabolism. Subsequent ALE enabled efficient growth through this synthetic pathway, and reverse-engineering identified key adaptive mutations underlying functional recovery. Both the synthetic pathway and the mutations were transferred unchanged into ISx, where robust growth was maintained without further adaptation. These results demonstrate that DUET enables portable, host-independent deployment of rational metabolic streamlining combined with evolution, providing a generalizable strategy for building reduced yet robust microbial platforms. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=78 SRC="FIGDIR/small/729570v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@161e8b6org.highwire.dtl.DTLVardef@f5056forg.highwire.dtl.DTLVardef@37dcc0org.highwire.dtl.DTLVardef@17df4a7_HPS_FORMAT_FIGEXP M_FIG C_FIG

DNA assembly is a cornerstone of synthetic biology, enabling the construction of bespoke genetic systems for applications ranging from metabolic engineering to DNA nanotechnology. Conventional Gibson Assembly (GA), the most widely used method, relies on 5' exonucleolytic resection and elevated temperatures ([~]50 {degrees}C), which together prevent the retention of 5' modifications and restrict compatibility with temperature-sensitive functionalities. Here, we report a DNA assembly strategy, 3 exonuclease-mediated low-temperature DNA assembly (3LTDA), which generates complementary 5' overhangs while preserving 5' end integrity. This approach enables the efficient assembly of blunt-ended, 5'-functionalised DNA fragments into both linear and circular constructs at ambient temperature (21 {degrees}C), with some assembly observed at temperatures as low as 4{degrees}C. We systematically optimise reaction conditions and demonstrate that this method supports efficient plasmid re-circularisation and multi-fragment assembly, including the construction of a [~]12.5 kbp plasmid from multiple DNA components. Comparative analysis across several DNA substrates shows that, under their respective optimal conditions, this approach matches or exceeds GA performance, improving assembly efficiency by up to 12.8%. Sequence analysis confirms high fidelity with no detectable base-pairing errors across assembled junctions. Crucially, this method preserves chemically functionalised 5' termini, enabling downstream conjugation and biochemical functionality. Retention of azide and biotin modifications was verified through fluorescence imaging, bead-based co-localisation, and enzymatic activity in ELISA-based assays. This is in contrast to GA-assembled controls, which showed complete loss of functionality under comparable conditions. We further assembled 5 kbp dsDNA using 3LTDA from four independent segments, three with different fluorescence reporters, and the fourth containing a biotin group for microparticle conjugation, each on the 5 end. Under fluorescence illumination, bead-bound DNA with all three fluorescence markers were detected. Conventional GA assembled constructs, on the other hand, failed to retain the reporter groups and the fluorescent images did not show the presence of any fluorescent markers. In addition to enhanced performance, the method could also reduce reagent cost and eliminate the need for elevated temperatures, simplifying workflows and expanding the applicability of multi-functionalised DNA constructs. Collectively, this work establishes 3LTDA as a robust, low-temperature alternative to conventional GA, with advantages for applications requiring precise chemical modification, temperature-sensitive components, or deployment outside conventional laboratory environments.

Anaerocellum (formerly Caldicellulosiruptor) bescii, an anaerobic, extremely thermophilic (Topt [~]78 {degrees}C) lignocellulolytic bacterium, is a promising chassis for metabolic engineering and next-generation bioprocessing. Yet, a lack of well-characterized genetic parts in A. bescii has hampered metabolic engineering efforts. Here, using a previously developed hyperthermophilic {beta}-galactosidase reporter system, we screened a diverse panel of putative A. bescii promoter sequences, identifying promoters that drove reporter output across a broad range. For a select subset, we mapped their transcriptional start sites (TSSs) and evaluated ribosome binding site (RBS) regions using chimeric promoter constructs. By constructing truncated promoter variants, we defined functional regions within the widely used, high-expression S-layer protein promoter (Pslp) and engineered a compact 99 bp variant that retained substantial reporter activity. Finally, we demonstrated that these new promoters can be used for metabolic engineering by using two newly characterized promoters to express an established thermostable alcohol dehydrogenase from Thermoclostridium stercorarium to drive ethanol production in A. bescii. Together, this work expands and diversifies the A. bescii genetic toolkit, opening doors to future metabolic engineering efforts in this species.

Bacterial microcompartments (BMCs) are protein-based metabolic modules increasingly investigated as potential intracellular nanoreactors. In this study, we engineered Escherichia coli by chromosomally integrating the propanediol utilization (pdu) operon from Citrobacter freundii and evaluated the metabolic versatility of the heterologously produced Pdu BMCs. The formation of well-assembled, operational Pdu BMCs was confirmed in cellula. Oxygen was found to inhibit 1,2-propanediol utilization, an effect alleviated under microaerobic conditions. The engineered E. coli strain assimilated a range of diols and triols, demonstrating that Pdu BMCs process both their native substrate and glycerol and linear diols up to 1,2-butanediol (C4). This substrate promiscuity was exploited to produce high value-added compounds and revealed previously unrecognized potential for plastic upcycling through ethylene glycol metabolism. In keeping with molecular dynamics simulations indicating that the Pdu BMC shell does not impose significant diffusion barriers for longer chain diols and triols, the range of amenable substrates was successfully extended to 1,2-pentanediol (C5) by mutating the diol dehydratase large subunit (PduC). Together, these findings establish heterologous Pdu BMCs as promiscuous and genetically tunable metabolic modules in E. coli, highlighting their potential as scalable platforms for synthetic biology and biotechnological applications. ImportanceBacterial microcompartments (BMCs) are increasingly popular modular platforms for organizing and optimizing metabolic pathways, yet their substrate scope and engineering potential remain underexplored. Here, we demonstrate that heterologous Pdu BMCs expressed in Escherichia coli metabolize a substantially broader range of substrates than previously appreciated, including various diols and triols outside their native range. We further show that BMC performance is modulated by oxygen availability and can be predictably expanded by targeted enzyme engineering. These findings establish Pdu BMCs as flexible, genetically tunable metabolic modules capable of converting diverse feedstocks into value-added products, while also revealing an unanticipated capacity for plastic upcycling via ethylene glycol utilization. By integrating pathway engineering, physiological characterization, and computational modelling, this work advances the design of BMC-based systems for sustainable bioproduction and highlights their potential as customizable intracellular nanoreactors for biotechnology.

Natural product synthesis by non-ribosomal peptide synthetases (NRPS) is greatly defined by the substrate selectivity of the adenylation (A) domains. Previous assays for specificity determination were mainly performed in vitro and were requiring protein purification. In this work, we developed - based on NRPS engineering - a novel in vivo assay suitable for high-throughput application named ASCR (A domain screening). Using the recently described XUT fusion sites, A domains and their upstream condensation domains were assembled as di-domains to characterized NRPS model system, which allowed detection of defined tripeptide products via mass spectrometry directly after cell culture extraction. We evaluated the assay by screening in total 54 A domains from five known and seven uncharacterized NRPS, covering a broad range organism taxonomy and GC content of the investigated NRPS-encoding genes. Additionally, we applied the assay to elucidate and confirm the structures of novel cyclic pentapeptides derived from three novel NRPS from Photorhabdus temperata K122.

Mixed-linkage {beta}-glucans (MLGs) are emerging as promising biopolymers with significant biotechnological potential due to their unique structural and rheological properties. In rhizobia, MLG biosynthesis is controlled by the second messenger cyclic di-GMP (c-di-GMP) and mediated by the bicistronic operon bgsBA. However, the full composition of the biosynthetic machinery and strategies for enhanced production remain incompletely understood. In this study, we demonstrate that the outer membrane protein TolC is essential for MLG production in Sinorhizobium meliloti. Genetic disruption of tolC abolished MLG synthesis, while its complementation restored production. We propose that TolC forms a tripartite complex with BgsA and BgsB, enabling efficient polymer synthesis and export. Furthermore, co-overexpression of tolC, bgsBA, and a constitutively active diguanylate cyclase (pleD*) yielded a 10-fold increase of MLG over a control plasmid without tolC, reaching up to [~]10 g/L under bioreactor conditions. Additionally, this genetic module enabled de novo MLG production in otherwise non-producer rhizobial hosts (e.g. Mesorhizobium japonicum), allowing bacterial chassis exchanges and highlighting its portability and potential for synthetic biology applications. Overall, our findings identify TolC as a key component of the MLG biosynthetic machinery and provide a robust platform for the scalable production of this valuable biopolymer. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=134 SRC="FIGDIR/small/721817v1_ufig1.gif" ALT="Figure 1"> View larger version (46K): org.highwire.dtl.DTLVardef@1da8e1org.highwire.dtl.DTLVardef@13a7b06org.highwire.dtl.DTLVardef@62d6eeorg.highwire.dtl.DTLVardef@10cc02d_HPS_FORMAT_FIGEXP M_FIG C_FIG

Enzymatic depolymerization of polyethylene terephthalate (PET) has advanced rapidly, alongside a growing volume of publicly available metagenomic data from microbial communities under sustained selective pressure from plastic exposure. Reasoning that such environments may harbor underexplored polyester-active enzymes, we developed a targeted mining workflow that screens exclusively plastic-associated datasets through multi-step bioinformatic filtering--integrating catalytic-motif screening, disulfide-topology validation, structural-similarity scoring, and phylogenetic profiling--to recover high-confidence PETase candidates. Applied to 271 plastic-associated metagenomes, the pipeline yielded 21 non-redundant candidates, several of which combine the Type I catalytic motif (GHSMGGGG) with Type II-like extended loops and secondary disulfide bonds. Two candidates were experimentally confirmed as PET hydrolases; the more active, PET-KR1, is a thermostable enzyme (Tm = 66.5 {degrees}C) that depolymerizes PET across a broad temperature range, with markedly higher productivity on powdered than on film substrate. PET-KR1 achieved optimal depolymerization at 50 {degrees}C, yet at 60-65 {degrees}C, where total yields declined, the product pool was more strongly enriched in the terminal monomer TPA, suggesting that thermostability and substrate accessibility are the primary targets for further engineering. Molecular dynamics simulations revealed a conserved hydrophobic binding network around the catalytic serine, consistent with established PETase substrate-recognition modes, and rational disulfide engineering raised the melting temperature by 3.5 {degrees}C, confirming amenability to further optimization. Overall, PET-KR1 expands the scaffold space available for PETase engineering, while the discovery workflow, built entirely on publicly available tools and open-access data, provides a reproducible strategy for metagenomic mining of novel PET-degrading enzymes toward biocatalytic PET recycling.

The purification of industrial enzymes typically relies on costly, multi-step chromatographic protocols. To address this, we developed a novel platform termed Coated Bacterial Enzymes (CBEs), which enables one-step purification and immobilization of recombinant proteins fused to the SlpA cell wall binding domain. As a proof of concept, we used a {beta}-galactosidase from Bifidobacterium bifidum of dairy relevance. The chimeric enzyme BbgII-SlpA was expressed in Escherichia coli and captured from crude lysate onto glutaraldehyde-inactivated Bacillus subtilis cells via SlpA domain. Binding was characterized by a dissociation constant (Kd) of 16.2 {micro}M and maximum binding capacity (Bmax) of 144 {micro}mol/g. The resulting CBE biocatalyst exhibited optimal activity at pH 6.0 for ONPG and lactose, with a broader pH profile than the free enzyme. Optimal temperatures were 60 {degrees}C for ONPG and 50 {degrees}C for lactose, and CBE retained >80% activity after 390 min at 45 {degrees}C, compared to 20% for the free enzyme. Catalytic efficiencies (kcat/Km) were 2.62 x106 M-1{middle dot}s-1 for ONPG and 4.40 x102 M-1{middle dot}s-1 for lactose. Moreover, CBE showed improved tolerance to cations such as Ca2+ and Fe2+. These results suggest that the CBE platform offers a cost-effective alternative for producing high-purity, immobilized enzymes for diverse industrial bioprocesses.

Gene therapy has been the subject of extensive research following the advent of gene-editing technologies. Genetic disorders with difficult-to-target tissues, such as cystic fibrosis (CF), still face many challenges in developing efficacious gene therapy. The potential universal approach of gene replacement involves inserting a functional CFTR gene after generating DNA double strand breaks using gene editors such as CRISPR/Cas9. However, this strategy has not achieved clinical significance, as CRISPR/Cas9-mediated integration of CFTR is limited primarily by the infrequent activity of the homology-directed repair (HDR) pathway. To circumvent this limitation and improve CFTR transgene integration and expression, we explored a method of adding a second integration site, which we termed the dual-locus-targeting method. Using a helper-dependent adenoviral vector (HDAd)-delivered CRISPR/Cas9 system in porcine epithelial cells, we found that sequential delivery of two vectors, one targeting the CFTR locus and the other the genomic safe harbour site GGTA1, enhanced the integration efficiency of lacZ and CFTR donor genes to 16.5% and 3.4%, respectively. These results demonstrated a potential strategy to improve the efficacy of CFTR replacement for the development of a universal and permanent gene therapy treatment for CF lung disease. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=76 SRC="FIGDIR/small/731381v1_ufig1.gif" ALT="Figure 1"> View larger version (17K): org.highwire.dtl.DTLVardef@1774590org.highwire.dtl.DTLVardef@1782915org.highwire.dtl.DTLVardef@1d13b12org.highwire.dtl.DTLVardef@17d3f93_HPS_FORMAT_FIGEXP M_FIG C_FIG

Carbonic anhydrases are among the fastest known biocatalysts, reversibly facilitating the hydration of CO2 to HCO3- at rates up to 107 s-1, which warrants their investigation for industrial carbon capture technologies. However, engineering carbonic anhydrases to maintain stability under harsh industrial process conditions remains a key challenge, and sequence-to-function datasets compatible with machine learning to inform forward engineering are lacking. Here, we developed a high-throughput platform that couples cell-free gene expression with a gaseous CO2 colorimetric assay to map the fitness landscapes of carbonic anhydrases. From 96 diverse natural homologs, we identified a robust variant from the Aquificota phylum and conducted an exhaustive mutational scan and functional assessment of this enzyme at 70C and 90C, covering >99% of all single-amino acid substitutions (totaling 4,365 mutations assayed in 39,285 reactions). This biochemical landscape was used to benchmark 22 zero-shot protein fitness models and identify critical mutations that improved enzyme stability at 90C by more than three-fold. We then used both zero-shot protein language models and supervised learning to filter 419 model-generated variants from a ProteinMPNN library of 100,000 sequences, leading to a best-in-class enzyme that retained activity after incubation at 95C. This work demonstrates that integrating cell-free enzyme engineering with machine learning enables opportunities for high-throughput experimental measurements to benchmark and improve protein language models, accelerate design loops, and expand functional exploration within protein families where experimental information is limited.

S-adenosyl-L-methionine (SAM), an essential cofactor in all forms of life, is synthesized by the enzyme methionine adenosyltransferase (MAT) from methionine and ATP. The adenine moiety in SAM appears to have no direct function in catalysis, and some MAT homologs can utilize natural nucleotide triphosphates in vitro, producing the corresponding SAM nucleobase analogues. However, the molecular determinants of nucleotide choice of the MAT enzyme and the cellular significance of the nucleobase in SAM are unclear. In this study, using structure- and bioinformatics-guided mutagenesis, we identify a flexible active-site loop as a major determinant of nucleotide specificity in MAT. Loop mutations and loop swaps convert ATP-selective Escherichia coli MAT into variants that accept GTP, CTP, and UTP, enabling enzymatic synthesis and purification of S-guanosyl-, S-cytosyl-, and S-uracyl-L-methionine. Further, we show that these analogues partially rescue the growth of an E. coli SAM auxotroph under SAM-limited growth conditions. Biochemical assays show that the analogues bind the tested SAM-utilizing enzymes; they serve as substrates for E. coli SAM decarboxylase but do not support detectable methyl transfer by E. coli DNA adenine methyltransferase. These results establish the flexible loop as a gatekeeper of MAT nucleotide specificity and show that this loop can be engineered to produce SAM analogues which can selectively participate in downstream cellular metabolism. Graphical Abstract/ Table of contents only O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=108 SRC="FIGDIR/small/737877v1_ufig1.gif" ALT="Figure 1"> View larger version (46K): org.highwire.dtl.DTLVardef@eea079org.highwire.dtl.DTLVardef@698836org.highwire.dtl.DTLVardef@6da3e7org.highwire.dtl.DTLVardef@239910_HPS_FORMAT_FIGEXP M_FIG C_FIG

The accumulation of plastic waste necessitates innovative strategies that convert polymer carbon into value-added products. Here, we present a sequential yeast-bacterial workflow for the integrated valorisation of glycerol and amorphous polyethylene terephthalate (amPET) into triacyl glyceride (TAGs) and polyhydroxyalkanoates (PHAs). First, an engineered obese strain of Yarrowia lipolytica was cultivated on glycerol, for the simultaneous production of intracellular lipids, up to 42.9% of its cell dry weight, and secretion of a PET-depolymerizing enzymatic cocktail, composed of the cutinase from Mycothermus thermophilus (HiC) and the lipase B from Moesziomyces antarcticus (CALB). The resulting enzymatic crude hydrolysed amPET, and the released degradation products--terephthalic acid (TPA) and ethylene glycol (EG)-- served as feedstocks for a bacterial consortium composed of Comamonas testosteroni RW31 and Pseudomonas putida JM37, which naturally assimilate TPA and EG, respectively. This consortium successfully upcycled the released monomers into intracellular polyhydroxybutyrate (PHB) and medium-chain-length PHAs. Furthermore, fluorescent strains of both bacteria enabled the development of a semi-quantitative method for monitoring the consortium population dynamics. Overall, this study provides a robust proof-of-concept for a circular bioeconomy approach, successfully coupling glycerol-based enzyme and lipid production with the downstream biological conversion of PET-derived monomers into valuable bioplastics. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=142 SRC="FIGDIR/small/729029v1_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@1575eedorg.highwire.dtl.DTLVardef@1195aeborg.highwire.dtl.DTLVardef@1a01bb0org.highwire.dtl.DTLVardef@79f4f6_HPS_FORMAT_FIGEXP M_FIG C_FIG

Utilizing methane and carbon dioxide before it can enter the upper atmosphere is beneficial for mitigating climate change as well as for producing valuable chemicals. Because anaerobic methanotrophic archaea (ANME) have not yet been cultured in isolation, we previously reversed methanogenesis by cloning the genes encoding methyl-coenzyme M reductase (Mcr) derived from Black Sea ANME-1 into the methanogen Methanosarcina acetivorans. The resulting engineered archaeal strain captures, rather than produces, methane and may be used to convert methane and carbon dioxide into electricity, acetate, L-lactate, and ethanol. However, the engineered M. acetivorans strain also contains a chromosomal locus encoding its native Mcr (McrM.a.), which produces methane from substrates such as methanol, whereas the heterologously expressed ANME-1 Mcr (McrANME-1) promotes methane oxidation. Therefore, we reasoned that McrM.a. may compete with McrANME-1-mediated reversal of methanogenesis. To enhance the reversal of methanogenesis, here we implemented an antisense RNA (asRNA) silencing approach to suppress McrM.a. during growth on methane while still allowing its expression during routine growth on methanol. We found that silencing McrM.a. during McrANME-1-mediated growth on methane increased ethanol and acetate production by more than an order of magnitude. These results were corroborated by both a more than 10-fold increase in methane utilization by McrANME-1 and a greater than 1,000-fold reduction in the McrM.a. mcrBGA transcript levels under methane-grown conditions. Therefore, asRNA-mediated silencing may be used to enhance methane capture by suppressing production of the host McrM.a. for biotechnological applications.

Improving the reconstituted translation system is a key requirement for bottom-up synthetic biology. Here, we developed a two-step in vitro evolutionary method that can be used for improving translational proteins. In this method, two distinct conditions were sequentially applied while maintaining genotype-phenotype linkage in water-in-oil droplets. Using this method, we performed in vitro evolution of four translation factors, IleRS, PheRS, EF-G, and EF-Tu, and identified mutations that modestly enhanced translation activity in in vitro expression assays. One of the EF-G mutations (P610S) increased activity per protein approximately 2-fold for the recombinant protein purified from E. coli. This selection method is useful for improving translational proteins for bottom-up synthetic biology.