Genome-scale target identification in Escherichia coli for high-titer production of free fatty acids

Recent advances in CRISPR-Cas system for Saccharomyces cerevisiae engineering

Yeast Saccharomyces cerevisiae (S. cerevisiae) is a crucial industrial platform for producing a wide range of chemicals, fuels, pharmaceuticals, and nutraceutical ingredients. It is also commonly used as a model organism for fundamental research. In recent years, the CRISPR-Cas (clustered regularly interspaced short palindromic repeats-CRISPR-associated proteins) system has become the preferred technology for genetic manipulation in S. cerevisiae owing to its high efficiency, precision, and user-friendliness. This system, along with its extensive toolbox, has significantly accelerated the construction of pathways, enzyme optimization, and metabolic engineering in S. cerevisiae. Furthermore, it has allowed researchers to accelerate phenotypic evolution and gain deeper insights into fundamental biological questions, such as genotype-phenotype relationships. In this review, we summarize the latest advancements in the CRISPR-Cas toolbox for S. cerevisiae and highlight its applications in yeast cell factory construction and optimization, enzyme and phenotypic evolution, genome-scale functional interrogation, gene drives, and the advancement of biotechnologies. Finally, we discuss the challenges and potential for further optimization and applications of the CRISPR-Cas system in S. cerevisiae.

Exploring the versatility of fatty acid biosynthesis in Escherichia coli: Production of random methyl branched fatty acids

Microbial fatty acids (FAs) hold significant potential as alternatives for the oleochemical industry. However, expanding the functional and structural diversity of microbial FA-derived products is essential to fully leverage this potential. Methyl-branched-chain FAs (MBFAs) are of particular interest as high-performance industrial compounds. This study examines the ability of the Escherichia coli FA biosynthesis pathway to produce a diverse mixture of random MBFAs (R-MBFAs) by utilizing both the natural malonyl-ACP substrate and the branched-chain methylmalonyl-ACP (mm-ACP) as an unnatural elongation unit. First, E. coli was engineered to accumulate methylmalonyl-CoA (mm-CoA) through a methylmalonate or a propionate-dependent pathway, and the capacity of E. coli FASII enzymes to synthesize mm-ACP and utilize it as a substrate was confirmed by the production of R-MBFAs. However, low R-MBFA accumulation and propionate-induced growth inhibition was observed. To improve R-MBFA yields, various malonyl-/mm-CoA acyltransferase (AT) enzymes were expressed, and their efficacy in generating mm-ACP was indirectly assessed through R-MBFA production levels. When expressing selected ATs, including native malonyl CoA-acyl carrier protein transacylase FabD, propionate-induced growth inhibition was alleviated and R-MBFA titers ranged from 5.9% to 7.7% of total FAs. Further strain optimization, analyzing two thioesterase (TE) activities and overexpression of the E. coli transciptional regulator EcFadR, significantly boosted R-MBFA titers. While an engineered strain carrying the Mus musculus TE domain (MmTE) produced 55.2 mg/L of R-MBFAs, representing an 11.8% of total FAs, another strain combining the overexpression of the cytosolic version of the TE TesA from E. coli (Ec'TesA) and EcFadR produced approximately 1.1 g/L of total FAs, with an R-MBFA fraction of 6.7% (70.5 mg/L), marking the highest yield recorded in shake-flask cultures. Finally, these two recombinant E. coli strains were grown in laboratory-scale fed-batch fermentations, and produced approximately 10 g/L of total FAs and over 1-1.2 g/L of R-MBFAs, underscoring the potential for large-scale production of these valuable FA-derived compounds.

Machine learning reveals novel compound for the improved production of chitooligosaccharides in Escherichia coli

In order to improve predictability of outcome and reduce costly rounds of trial-and-error, machine learning models have been of increasing importance in the field of synthetic biology. Besides applications in predicting genome annotation, process parameters and transcription initiation frequency, such models have also been of help for pathway optimization. The latter is a common strategy in metabolic engineering and improves the production of a desirable compound by optimizing enzyme expression levels of the production pathway. However, engineering steps might not lead to sufficient improvement, and bottlenecks may remain hidden among the hundreds of metabolic reactions occurring in a living cell, especially if the production pathway is highly interconnected with other parts of the cell's metabolism. Here, we use the synthesis of chitooligosaccharides (COS) to show that the production from such complex pathways can be improved by using machine learning models and feature importance analysis to find new compounds with an impact on COS production. We screened Escherichia coli libraries of engineered transcription regulators with an expected broad range of metabolic diversity and trained several machine learning models to predict COS production titers. Subsequent feature analysis led to the finding of iron, whose addition we could show improved COS production in vivo up to two-fold. Additionally, the analysis revealed important clues for future engineering steps.

Metabolic division engineering of Escherichia coli consortia for de novo biosynthesis of flavonoids and flavonoid glycosides

Heterologous biosynthesis of natural products with long biosynthetic pathways in microorganisms often suffers from diverse problems, such as enzyme promiscuity and metabolic burden. Flavonoids and their glycosides are important phytochemicals in the diet of human beings, with various health benefits and biological activities. Despite previous efforts and achievements, efficient microbial production of plant-derived flavonoid compounds with long pathways remains challenging. Herein, we applied metabolic division engineering of Escherichia coli consortia to overcome these limitations. By establishing new biosynthetic pathways, rationally adjusting metabolic node intermediates, and engineering different auxotrophic and orthogonal carbon sources for hosts, we established stable two- and three-bacteria co-culture systems to efficiently de novo produce 12 flavonoids (61.15-325.31 mg/L) and 36 corresponding flavonoid glycosides (1.31-191.79 mg/L). Furthermore, the co-culture system was rapidly extended in a plug-and-play manner to produce isoflavonoids, dihydrochalcones, and their glycosides. This study successfully alleviates metabolic burden and overcomes enzyme promiscuity, and provides significant insights that could guide the biosynthesis of other complex secondary metabolites.

Harnessing Near-Infrared Light for Enhanced Solar Hydrogen Production from Escherichia coli Interfaced with Biocompatible Low-Bandgap Conjugated Polymer Nanosheets

The efficient conversion of solar energy into clean hydrogen fuel presents a promising pathway for sustainable energy production. However, utilizing the full solar spectrum, particularly the near-infrared (NIR) region, remains underexplored in photosynthetic biohybrid systems. In this study, biocompatible, low-bandgap conjugated polymer nanosheets (PyTT-tBAL-HAB) are developed to integrate with non-photosynthetic, non-genetically engineered Escherichia coli (E. coli) for enhanced solar-driven biological hydrogen production. The PyTT-tBAL-HAB nanosheets exhibit unique NIR light absorption properties. Integrating these nanosheets with E. coli facilitates efficient electron transfer, resulting in a 1.96-fold increase in hydrogen production rate under NIR light. Consequently, this photosynthetic biohybrid system achieves a quantum efficiency of 18.36% at 940 nm. This study demonstrates the potential of using low-bandgap conjugated polymer nanosheets as advanced photosensitizers in semi-artificial photosynthetic systems, offering a robust platform for the effective utilization of the solar spectrum.

Establishment of CRISPR-STAR System to Realise Simultaneous Transcriptional Activation and Repression in Yarrowia lipolytica

The ability to regulate gene expression in multiple directions is crucial to maximise the production of microbial cell factories. However, the lack of a regulatory tool that can simultaneously activate and repress multiple genes restricts the manipulation diversity of Yarrowia lipolytica, which is an industrial workhorse for bioproduction. To address this issue, we developed a CRISPR scaffold RNAs (scRNAs)-mediated transcriptional activation and repression (CRISPR-STAR) platform. Firstly, we evaluated different methods for bidirectional regulation using CRISPR on both endogenous and synthetic promoters in Y. lipolytica, and chose the utilisation of orthogonal scRNAs to recruit activation and inhibition domains. Secondly, CRISPR-STAR was optimised by the introduction of alternative dCas proteins, scRNA structures and activators. 2.6-fold and 54.9-fold activation were achieved for synthetic and endogenous promoters, respectively, when the VPR transcriptional activator was recruited via MS2 hairpin. The repression of several genes was successfully achieved, with repression levels ranging from 3% to 32%, when the MXI1 transcriptional repressor was recruited via PP7 hairpin. Finally, CRISPR-STAR was applied to enhance fatty alcohol production by activating the FAR gene (encodes fatty acyl-CoA reductase) and repression of the PEX10 gene (encodes an integral membrane protein required for peroxisome biogenesis and matrix protein import). Compared to the non-targeting control, the bidirectionally regulated strain showed a 55.7% increase in yield to 778.8 mg/L. Our findings demonstrate that the CRISPR-STAR platform enables multi-mode regulation of genes, offering engineering opportunities to improve the productive performance of Y. lipolytica.

Genome-scale CRISPRi screen identifies pcnB repression conferring improved physiology for overproduction of free fatty acids in Escherichia coli

Microbial physiology plays a pivotal role in construction of superior microbial cell factories for efficient biosynthesis of desired products. Here we identify that pcnB repression confers improved physiology for overproduction of free fatty acids (FFAs) in Escherichia coli through genome-scale CRISPRi modulation combining fluorescence-activated cell sorting (FACS) and next-generation sequencing (NGS). The repression of pcnB can enhance the stability and abundance of the transcripts of genes involved in the proton-consuming system, thereby supporting global improvements in membrane properties, redox state, and energy level. Based on pcnB repression, further repression of acrD increases FFAs biosynthesis by enhancing FFAs efflux. The engineered strain pcnBi-acrDi-fadR+ achieves 35.1 g L-1 FFAs production in fed-batch fermentation, which is the maximum titer reported to date in E. coli. This study highlights the significance of uncovering hidden genetic determinants that confer improved microbial physiology for enhancing the biosynthesis of desired products.

Comprehensive evaluation of the capacities of microbial cell factories

Systems metabolic engineering is facilitating the development of high-performing microbial cell factories for producing chemicals and materials. However, constructing an efficient microbial cell factory still requires exploring and selecting various host strains, as well as identifying the best-suited metabolic engineering strategies, which demand significant time, effort, and costs. Here, we comprehensively evaluate the capacities of various microbial cell factories and propose strategies for systems metabolic engineering steps, including host strain selection, metabolic pathway reconstruction, and metabolic flux optimization. We analyze the metabolic capacities of five representative industrial microorganisms as cell factories for the production of 235 different bio-based chemicals and suggest the most suitable host strain for the corresponding chemical production. To improve the innate metabolic capacity by constructing more efficient metabolic pathways, heterologous metabolic reactions, and cofactor exchanges are systematically analyzed. Additionally, we present metabolic engineering strategies, which include up- and down-regulation target reactions, for the improved production of chemicals. Altogether, this study will serve as a comprehensive resource for the systems metabolic engineering of microorganisms in the bio-based production of chemicals.

A rational multi-target combination strategy for synergistic improvement of non-ribosomal peptide production

Non-ribosomal peptides (NRPs) are pharmaceutically important natural products that include numerous clinical drugs. However, the biosynthesis of these NRPs is intricately regulated and improving production through manipulation of multiple regulatory targets remains largely empirical. We here develop a screening-based, multi-target rational combination strategy and demonstrate its effectiveness in enhancing the titers of three NRP drugs - daptomycin, thaxtomin A and surfactin. Initially, we devise a reliable colorimetric analog co-expression and co-biosynthesis reporter system for screening high-yielding phenotypes. Subsequently, through coupling CRISPR interference to induce genome-wide differential expression, we identify dozens of repressors that inhibit the biosynthesis of these NRPs. To address the challenge of multi-target combination, we further developed a dual-target screen approach and introduced an interplay map based on the synergy coefficient of each pairwise interaction. Employing this strategy, we engineer the final strains with multi-target synergistic combination and achieve the titer improvement of the three NRPs. Our work provides a rational multi-target combination strategy for production improvement of NRPs.

In silico analysis of non-conventional gene targets for genetic interventions to enhance fatty acid production: a review

Since the 1990s, fatty acids (FA) have drawn significant industrial attention due to their diverse applications creating a demand for biological systems capable of producing high FA titers. While various strategies have been explored to achieve this, many of the conventional approaches rely on extensive genetic manipulations, which often result in strain instability, thus limiting its potential to yield better FA titers. Moreover, stresses such as pH, osmotic, and oxidative imbalances generated during FA production aggravate these challenges, further limiting FA titers. Under stress conditions, the cellular system responds by regulating stress-response proteins to bring about homeostasis. Recent findings suggest that transmembrane proteins, regulators of two-component systems, and cytoplasmic regulators can be strategically leveraged to address the problems related to stress-induced strain instability. Thus, non-conventional genetic targets, like chaperones (e.g., heat shock proteins) and DNA-binding transcriptional regulators (e.g., RcdA), which are not directly involved in FA metabolism, represent promising candidates to enhance strain stability and FA yields. Tools like Opt-Box and Weighted Gene Co-expression Network Analysis (WGCNA) serve as excellent platforms for understanding the cross-talk between these regulators and downstream enzymes. This review emphasizes the need for a shift towards identifying novel genetic targets by employing advanced in silico analysis and explains several molecular techniques that can aid in strain construction. Lastly, it discusses certain non-conventional gene targets that can help to overcome strain instability arising due to various stresses generated during/due to FA production.

Metabolically Modifying the Central and Competitive Metabolic Pathways for Enhanced D-Pantoic Acid Synthesis

D-Pantoic acid is an essential precursor for the synthesis of vitamin B5. However, the microbial synthesis of D-pantoic acid suffers from a low yield. Herein, to improve D-pantoic acid biosynthesis in Escherichia coli, the central metabolic and byproduct-forming pathways were first engineered, increasing the D-pantoic acid titer to 1.55 g/L from 0.75 g/L. Subsequently, the modification was focused on preventing the accumulation of α-ketoglutarate (α-KG). Six genes (ppc, mdh, icd, sucA, kgtP, and dcuA) related to α-KG metabolism and transport were screened by the CRISPRi system and further genetically manipulated. Ultimately, significantly improved D-pantoic acid biosynthesis (2.03 g/L in a shake flask and 14.78 g/L in a 5-L bioreactor) with dramatically reduced formation of byproducts was achieved. To our best knowledge, this is the first attempt to modify the key metabolic targets related to α-KG accumulation for enhanced D-pantoic acid biosynthesis. These findings would also offer valuable insights into the metabolic regulation of other related metabolites.

De novo biosynthesis of nylon 12 monomer ω-aminododecanoic acid

Nylon 12 is valued for its exceptional properties and diverse industrial applications. Traditional chemical synthesis of nylon 12 faces significant technical challenges and environmental concerns, while bioproduction from plant-extracted decanoic acid (DDA) raises issues related to deforestation and biodiversity loss. Here, we show the development of an engineered Escherichia coli cell factory capable of biosynthesizing the nylon 12 monomer, ω-aminododecanoic acid (ω-AmDDA), from glucose. We enable de novo biosynthesis of ω-AmDDA by introducing a thioesterase specific to C12 acyl-ACP and a multi-enzyme cascade converting DDA to ω-AmDDA. Through modular pathway engineering, redesign and dimerization enhancement of the rate-limiting P450, reconstruction of redox and energy homeostasis, and enhancement of oxidative stress tolerance, we achieve a production level of 471.5 mg/L ω-AmDDA from glucose in shake flasks. This work paves the way for sustainable nylon 12 production and offers insights for bioproduction of other fatty acid-derived products.

CRISPRi-mediated metabolic switch enables concurrent aerobic and synthetic anaerobic fermentations in engineered consortium

Replacing petrochemicals with compounds from bio-based manufacturing processes remains an important part of the global effort to move towards a sustainable future. However, achieving economic viability requires both optimized cell factories and innovative processes. Here, we address this challenge by developing a fermentation platform, which enables two concurrent fermentations in one bioreactor. We first construct a xylitol producing Escherichia coli strain in which CRISPRi-mediated gene silencing is used to switch the metabolism from aerobic to anaerobic, even when the bacteria are under oxic conditions. The switch also decouples growth from production, which further increases the yield. The strain produces acetate as a byproduct, which is subsequently metabolized under oxic conditions by a secondary E. coli strain. Through constraint-based metabolic modelling this strain is designed to co-valorize glucose and the excreted acetate to a secondary product. This unique syntrophic consortium concept facilitates the implementation of "two fermentations in one go", where the concurrent fermentation displays similar titers and productivities as compared to two separate single strain fermentations.

Systems-Level Modeling for CRISPR-Based Metabolic Engineering

The CRISPR-Cas system has enabled the development of sophisticated, multigene metabolic engineering programs through the use of guide RNA-directed activation or repression of target genes. To optimize biosynthetic pathways in microbial systems, we need improved models to inform design and implementation of transcriptional programs. Recent progress has resulted in new modeling approaches for identifying gene targets and predicting the efficacy of guide RNA targeting. Genome-scale and flux balance models have successfully been applied to identify targets for improving biosynthetic production yields using combinatorial CRISPR-interference (CRISPRi) programs. The advent of new approaches for tunable and dynamic CRISPR activation (CRISPRa) promises to further advance these engineering capabilities. Once appropriate targets are identified, guide RNA prediction models can lead to increased efficacy in gene targeting. Developing improved models and incorporating approaches from machine learning may be able to overcome current limitations and greatly expand the capabilities of CRISPR-Cas9 tools for metabolic engineering.

The rise and future of CRISPR-based approaches for high-throughput genomics

Clustered regularly interspaced short palindromic repeats (CRISPR) has revolutionized the field of genome editing. To circumvent the permanent modifications made by traditional CRISPR techniques and facilitate the study of both essential and nonessential genes, CRISPR interference (CRISPRi) was developed. This gene-silencing technique employs a deactivated Cas effector protein and a guide RNA to block transcription initiation or elongation. Continuous improvements and a better understanding of the mechanism of CRISPRi have expanded its scope, facilitating genome-wide high-throughput screens to investigate the genetic basis of phenotypes. Additionally, emerging CRISPR-based alternatives have further expanded the possibilities for genetic screening. This review delves into the mechanism of CRISPRi, compares it with other high-throughput gene-perturbation techniques, and highlights its superior capacities for studying complex microbial traits. We also explore the evolution of CRISPRi, emphasizing enhancements that have increased its capabilities, including multiplexing, inducibility, titratability, predictable knockdown efficacy, and adaptability to nonmodel microorganisms. Beyond CRISPRi, we discuss CRISPR activation, RNA-targeting CRISPR systems, and single-nucleotide resolution perturbation techniques for their potential in genome-wide high-throughput screens in microorganisms. Collectively, this review gives a comprehensive overview of the general workflow of a genome-wide CRISPRi screen, with an extensive discussion of strengths and weaknesses, future directions, and potential alternatives.

Multidimensional engineering of Saccharomyces cerevisiae for the efficient production of heme by exploring the cytotoxicity and tolerance of heme

Heme has attracted considerable attention due to its indispensable biological roles and applications in healthcare and artificial foods. The development and utilization of edible microorganisms instead of animals to produce heme is the most promising method to promote the large-scale industrial production and safe application of heme. However, the cytotoxicity of heme severely restricts its efficient synthesis by microorganisms, and the cytotoxic mechanism is not fully understood. In this study, the effect of heme toxicity on Saccharomyces cerevisiae was evaluated by enhancing its synthesis using metabolic engineering. The results showed that the accumulation of heme after the disruption of heme homeostasis caused serious impairments in cell growth and metabolism, as demonstrated by significantly poor growth, mitochondrial damage, cell deformations, and chapped cell surfaces, and these features which were further associated with substantially elevated reactive oxygen species (ROS) levels within the cell (mainly H2O2 and superoxide anion radicals). To improve cellular tolerance to heme, 5 rounds of laboratory evolution were performed, increasing heme production by 7.3-fold and 4.2-fold in terms of the titer (38.9 mg/L) and specific production capacity (1.4 mg/L/OD600), respectively. Based on comparative transcriptomic analyses, 32 genes were identified as candidates that can be modified to enhance heme production by more than 20% in S. cerevisiae. The combined overexpression of 5 genes (SPS22, REE1, PHO84, HEM4 and CLB2) was shown to be an optimal method to enhance heme production. Therefore, a strain with enhanced heme tolerance and ROS quenching ability (R5-M) was developed that could generate 380.5 mg/L heme with a productivity of 4.2 mg/L/h in fed-batch fermentation, with S. cerevisiae strains being the highest producers reported to date. These findings highlight the importance of improving heme tolerance for the microbial production of heme and provide a solution for efficient heme production by engineered yeasts.

Guide RNA structure design enables combinatorial CRISPRa programs for biosynthetic profiling

Engineering metabolism to efficiently produce chemicals from multi-step pathways requires optimizing multi-gene expression programs to achieve enzyme balance. CRISPR-Cas transcriptional control systems are emerging as important tools for programming multi-gene expression, but poor predictability of guide RNA folding can disrupt expression control. Here, we correlate efficacy of modified guide RNAs (scRNAs) for CRISPR activation (CRISPRa) in E. coli with a computational kinetic parameter describing scRNA folding rate into the active structure (rS = 0.8). This parameter also enables forward design of scRNAs, allowing us to design a system of three synthetic CRISPRa promoters that can orthogonally activate (>35-fold) expression of chosen outputs. Through combinatorial activation tuning, we profile a three-dimensional design space expressing two different biosynthetic pathways, demonstrating variable production of pteridine and human milk oligosaccharide products. This RNA design approach aids combinatorial optimization of metabolic pathways and may accelerate routine design of effective multi-gene regulation programs in bacterial hosts.

Medium Chain Length Polyhydroxyalkanoate Production by Engineered Pseudomonas gessardii Using Acetate-formate as Carbon Sources

Production of medium chain length polyhydroxyalkanoate (mcl-PHA) was attempted using Pseudomonas gessardii NIBRBAC000509957, which was isolated from Sunchang, Jeollabuk-do, Republic of Korea (35°24'27.7"N, 127°09'13.0"E) and effectively utilized acetate and formate as carbon sources. We first evaluated the utilization of acetate as a carbon source, revealing optimal growth at 5 g/L acetate. Then, formate was supplied to the acetate minimal medium as a carbon source to enhance cell growth. After overexpressing the acetate and formate assimilation pathway enzymes, this strain grew at a significantly higher rate in the medium. As this strain naturally produces PHA, it was further engineered metabolically to enhance mcl-PHA production. The engineered strain produced 0.40 g/L of mcl-PHA with a biomass content of 30.43% in fed-batch fermentation. Overall, this strain can be further developed to convert acetate and formate into valuable products.

Mining novel gene targets for improving tolerance to furfural and acetic acid in Yarrowia lipolytica using whole-genome CRISPRi library

Abundant renewable resource lignocellulosic biomass possesses tremendous potential for green biomanufacturing, while its efficient utilization by Yarrowia lipolytica, an attractive biochemical production host, is restricted since the presence of inhibitors furfural and acetic acid in lignocellulosic hydrolysate. Given deficient understanding of inherent interactions between inhibitors and cellular metabolism, sufficiently mining relevant genes is necessary. Herein, 14 novel gene targets were discovered using clustered regularly interspaced short palindromic repeats interference library in Y. lipolytica, achieving tolerance to 0.35 % (v/v) acetic acid (the highest concentration reported in Y. lipolytica), 4.8 mM furfural, or a combination of 2.4 mM furfural and 0.15 % (v/v) acetic acid. The tolerance mechanism might involve improvement of cell division and decrease of reactive oxygen species level. Transcriptional repression of effective gene targets still enabled tolerance when xylose was a carbon source. This work forms a robust foundation for improving microbial tolerance to lignocellulose-derived inhibitors and revealing underlying mechanism.

CRISPR Tools for Engineering Prokaryotic Systems: Recent Advances and New Applications

In the past decades, the broad selection of CRISPR-Cas systems has revolutionized biotechnology by enabling multimodal genetic manipulation in diverse organisms. Rooted in a molecular engineering perspective, we recapitulate the different CRISPR components and how they can be designed for specific genetic engineering applications. We first introduce the repertoire of Cas proteins and tethered effectors used to program new biological functions through gene editing and gene regulation. We review current guide RNA (gRNA) design strategies and computational tools and how CRISPR-based genetic circuits can be constructed through regulated gRNA expression. Then, we present recent advances in CRISPR-based biosensing, bioproduction, and biotherapeutics across in vitro and in vivo prokaryotic systems. Finally, we discuss forthcoming applications in prokaryotic CRISPR technology that will transform synthetic biology principles in the near future.

Systematic engineering for production of anti-aging sunscreen compound in Pseudomonas putida

Sunscreen has been used for thousands of years to protect skin from ultraviolet radiation. However, the use of modern commercial sunscreen containing oxybenzone, ZnO, and TiO2 has raised concerns due to their negative effects on human health and the environment. In this study, we aim to establish an efficient microbial platform for production of shinorine, a UV light absorbing compound with anti-aging properties. First, we methodically selected an appropriate host for shinorine production by analyzing central carbon flux distribution data from prior studies alongside predictions from genome-scale metabolic models (GEMs). We enhanced shinorine productivity through CRISPRi-mediated downregulation and utilized shotgun proteomics to pinpoint potential competing pathways. Simultaneously, we improved the shinorine biosynthetic pathway by refining its design, optimizing promoter usage, and altering the strength of ribosome binding sites. Finally, we conducted amino acid feeding experiments under various conditions to identify the key limiting factors in shinorine production. The study combines meta-analysis of 13C-metabolic flux analysis, GEMs, synthetic biology, CRISPRi-mediated gene downregulation, and omics analysis to improve shinorine production, demonstrating the potential of Pseudomonas putida KT2440 as platform for shinorine production.

Budding and explosive membrane vesicle production by hypervesiculating Escherichia coli strain ΔrodZ

Escherichia coli produces extracellular vesicles called outer membrane vesicles. In this study, we investigated the mechanism underlying the hypervesiculation of deletion mutant ΔrodZ of E. coli. RodZ forms supramolecular complexes with actin protein MreB and peptidoglycan (PG) synthase, and plays an important role in determining the cell shape. Because mreB is an essential gene, an expression-repressed strain (mreB R3) was constructed using CRISPRi, in which the expression of mreB decreased to 20% of that in the wild-type (WT) strain. In shaken-flask culture, the ΔrodZ strain produced >50 times more vesicles than the WT strain. The mreB-repressed strain mreB R3 showed eightfold higher vesicle production than the WT. ΔrodZ and mreB R3 cells were observed using quick-freeze replica electron microscopy. As reported in previous studies, ΔrodZ cells were spherical (WT cells are rod-shaped). Some ΔrodZ cells (around 7% in total) had aberrant surface structures, such as budding vesicles and dented surfaces, or curved patterns on the surface. Holes in the PG layer and an increased cell volume were observed for ΔrodZ and mreB R3 cells compared with the WT. In conditions of osmotic support using sucrose, the OD660 value of the ΔrodZ strain increased significantly, and vesicle production decreased drastically, compared with those in the absence of sucrose. This study first clarified that vesicle production by the E. coli ΔrodZ strain is promoted by surface budding and a burst of cells that became osmotically sensitive because of their incomplete PG structure.

Nanopore sequencing improves construction of customized CRISPR-based gene activation libraries

Clustered regularly interspaced short palindromic repeats (CRISPR)-based screening has emerged as a powerful tool for identifying new gene targets for desired cellular phenotypes. The construction of guide RNA (gRNA) pools largely determines library quality and is usually performed using Golden Gate assembly or Gibson assembly. To date, library construction methods have not been systematically compared, and the quality check of each batch has been slow. In this study, an in-house nanopore sequencing workflow was established for assessing the current methods of gRNA pool construction. The bias of pool construction was reduced by employing the polymerase-mediated non-amplifying method. Then, a small gRNA pool was utilized to characterize stronger activation domains, specifically MED2 (a subunit of mediator complex) and HAP4 (a heme activator protein), as well as to identify better gRNA choices for dCas12a-based gene activation in Saccharomyces cerevisiae. Furthermore, based on the better CRISPRa tool identified in this study, a custom gRNA pool, which consisted of 99 gRNAs targeting central metabolic pathways, was designed and employed to screen for gene targets that could improve ethanol utilization in S. cerevisiae. The nanopore sequencing-based workflow demonstrated here should provide a cost-effective approach for assessing the quality of customized gRNA library, leading to faster and more efficient genetic and metabolic engineering in S. cerevisiae.

Enhancing surfactin production in Bacillus subtilis: Insights from proteomic analysis of nitrate-induced overproduction and strategies for combinatorial metabolic engineering

Surfactin biosynthesis in Bacillus subtilis is intricately regulated by environmental conditions. In the present study, addition of nitrate, a nitrogen source, increased the production of surfactin in B. subtilis ATCC 21332, whereas its absence resulted in minimal or no surfactin production. Proteomics revealed the mechanism underlying nitrate-induced surfactin overproduction, identifying three key differential proteins (preprotein translocase subunit SecA, signal recognition particle receptor FtsY, and cell division adenosine triphosphate-binding protein FtsE) relevant to surfactin transport and regulation. Combinatorial metabolic engineering strategies (enhanced nitrate reduction, fatty acid hydroxylation, rational transporter engineering, and feeding) led to a 41.4-fold increase in surfactin production compared with the initial production in the wild-type strain. This study provides insights into the molecular mechanism of nitrate-induced surfactin overproduction and strategies to enhance the performance of surfactin-producing strains.

Mutation-driven resistance development in wastewater E. coli upon low-level cephalosporins: Pharmacophore contribution and novel mechanism

Cephalosporins have been widely applied in clinical and veterinary settings and detected at increasing concentrations in water environments. They potentially induce high-level antibiotic resistance at environmental concentrations. This study characterized how typical wastewater bacteria developed heritable antibiotic resistance under exposure to different cephalosporins, including pharmacophore-resistance correlation, resistance mechanism, and occurrence of resistance-relevant mutations in different water environments. Wastewater-isolated E. coli JX1 was exposed to eight cephalosporins individually at 25 µg/L for 60 days. Multidrug resistance developed and diverse mutations arose in selected mutants, where a single mutation in ATP phosphoribosyltransferase encoding gene (hisG) resulted in up to 128-fold increase in resistance to meropenem. Molprint2D pharma RQSAR analysis revealed that hydrogen-bond acceptors and hydrophobic groups in the R1 and R2 substituents of cephalosporins contributed positively to antibiotic resistance. Some of these pharmacophores may persist during bio- or photo-degradation in the environment. hisG mutation confers a novel resistance mechanism by inhibiting fatty acid degradation, and its variants were more abundant in water-related E. coli (especially in the effluent of wastewater treatment plants) compared with those in non-water environments. These results suggest that specific degradation of particular pharmacophores in cephalosporins could be useful for controlling resistance development, and mutations in previously unreported resistance genes (e.g., hisG) can lead to overlooked antibiotic resistance risks in water environments.

Recent advances in genome-scale engineering in Escherichia coli and their applications

Owing to the rapid advancement of genome engineering technologies, the scale of genome engineering has expanded dramatically. Genome editing has progressed from one genomic alteration at a time that could only be employed in few species, to the simultaneous generation of multiple modifications across many genomic loci in numerous species. The development and recent advances in multiplex automated genome engineering (MAGE)-associated technologies and clustered regularly interspaced short palindromic repeats and their associated protein (CRISPR-Cas)-based approaches, together with genome-scale synthesis technologies offer unprecedented opportunities for advancing genome-scale engineering in a broader range. These approaches provide new tools to generate strains with desired phenotypes, understand the complexity of biological systems, and directly evolve a genome with novel features. Here, we review the recent major advances in genome-scale engineering tools developed for Escherichia coli, focusing on their applications in identifying essential genes, genome reduction, recoding, and beyond.

Identification of crucial roles of transcription factor IhfA on high production of free fatty acids in Escherichia coli

Transcription factor engineering has unique advantages in improving the performance of microbial cell factories due to the global regulation of gene transcription. Omics analyses and reverse engineering enable learning and subsequent incorporation of novel design strategies for further engineering. Here, we identify the role of the global regulator IhfA for overproduction of free fatty acids (FFAs) using CRISPRi-facilitated reverse engineering and cellular physiological characterization. From the differentially expressed genes in the ihfAL- strain, a total of 14 beneficial targets that enhance FFAs production by above 20 % are identified, which involve membrane function, oxidative stress, and others. For membrane-related genes, the engineered strains obtain lower cell surface hydrophobicity and increased average length of membrane lipid tails. For oxidative stress-related genes, the engineered strains present decreased reactive oxygen species (ROS) levels. These gene modulations enhance cellular robustness and save cellular resources, contributing to FFAs production. This study provides novel targets and strategies for engineering microbial cell factories with improved FFAs bioproduction.

Building a highly efficient Streptomyces super-chassis for secondary metabolite production by reprogramming naturally-evolved multifaceted shifts

Streptomyces has an extensive array of bioactive secondary metabolites (SMs). Nevertheless, devising a framework for the heterologous production of these SMs remains challenging. We here reprogrammed a versatile plug-and-play Streptomyces super-chassis and established a universal pipeline for production of diverse SMs via understanding of the inherent pleiotropic effects of ethanol shock on jadomycin production in Streptomyces venezuelae. We initially identified and characterized a set of multiplex targets (afsQ1, bldD, bldA, and miaA) that contribute to SM (jadomycin) production when subjected to ethanol shock. Subsequently, we developed an ethanol-induced orthogonal amplification system (EOAS), enabling dynamic and precise control over targets. Ultimately, we integrated these multiplex targets into functional units governed by the EOAS, generating a universal and plug-and-play Streptomyces super-chassis. In addition to achieving the unprecedented titer and yield of jadomycin B, we also evidenced the potential of this super-chassis for production of diverse heterologous SMs, including antibiotic oxytetracycline, anticancer drug doxorubicins, agricultural herbicide thaxtomin A, and plant growth regulator guvermectin, all with the yields of >10 mg/g glucose in a simple mineral medium. Given that the production of SMs all required complexed medium and the cognate yields were usually much lower, our achievement of using a universal super-chassis and engineering pipeline in a simple mineral medium is promising for convenient heterologous production of SMs.

Genetic Engineering of Microorganisms with Electroactive Genes for the Fabrication of Electrochemical Microbial Biosensors

By integrating electroactive genes into engineered sensing microorganisms, information about the object to be measured can be converted into the output of an electrical signal, omitting the process of converting the output of an electrical signal in conventional sensing strategies and simplifying the steps of biosensor development. By utilizing synthetic biology methods, we can not only create novel genetic circuits by using logic gate operations and integrating genes from other biological components, solving biosensing issues in living systems and enhancing sensor performance, but also convert various types of genetic circuits into electrical signals, broadening the application range of biosensors. Here, we describe an example of how to genetically engineer microorganisms with electroactive genes and the fabrication of an electrochemical microbial biosensor.

Enabling pathway design by multiplex experimentation and machine learning

The remarkable metabolic diversity observed in nature has provided a foundation for sustainable production of a wide array of valuable molecules. However, transferring the biosynthetic pathway to the desired host often runs into inherent failures that arise from intermediate accumulation and reduced flux resulting from competing pathways within the host cell. Moreover, the conventional trial and error methods utilized in pathway optimization struggle to fully grasp the intricacies of installed pathways, leading to time-consuming and labor-intensive experiments, ultimately resulting in suboptimal yields. Considering these obstacles, there is a pressing need to explore the enzyme expression landscape and identify the optimal pathway configuration for enhanced production of molecules. This review delves into recent advancements in pathway engineering, with a focus on multiplex experimentation and machine learning techniques. These approaches play a pivotal role in overcoming the limitations of traditional methods, enabling exploration of a broader design space and increasing the likelihood of discovering optimal pathway configurations for enhanced production of molecules. We discuss several tools and strategies for pathway design, construction, and optimization for sustainable and cost-effective microbial production of molecules ranging from bulk to fine chemicals. We also highlight major successes in academia and industry through compelling case studies.

The expanded CRISPR toolbox for constructing microbial cell factories

Microbial cell factories (MCFs) convert low-cost carbon sources into valuable compounds. The CRISPR/Cas9 system has revolutionized MCF construction as a remarkable genome editing tool with unprecedented programmability. Recently, the CRISPR toolbox has been significantly expanded through the exploration of new CRISPR systems, the engineering of Cas effectors, and the incorporation of other effectors, enabling multi-level regulation and gene editing free of double-strand breaks. This expanded CRISPR toolbox powerfully promotes MCF construction by facilitating pathway construction, enzyme engineering, flux redistribution, and metabolic burden control. In this article, we summarize different CRISPR tool designs and their applications in MCF construction for gene editing, transcriptional regulation, and enzyme modulation. Finally, we also discuss future perspectives for the development and application of the CRISPR toolbox.

Multidimensional engineering of Escherichia coli for efficient synthesis of L-tryptophan

Development of microbial cell factory for L-tryptophan (L-trp) production has received widespread attention but still requires extensive efforts due to weak metabolic flux distribution and low yield. Here, the riboswitch-based high-throughput screening (HTS) platform was established to construct a powerful L-trp-producing chassis cell. To facilitate L-trp biosynthesis, gene expression was regulated by promoter and N-terminal coding sequences (NCS) engineering. Modules of degradation, transport and by-product synthesis related to L-trp production were also fine-tuned. Next, a novel transcription factor YihL was excavated to negatively regulate L-trp biosynthesis. Self-regulated promoter-mediated dynamic regulation of branch pathways was performed and cofactor supply was improved for further L-trp biosynthesis. Finally, without extra addition, the yield of strain Trp30 reached 42.5 g/L and 0.178 g/g glucose after 48 h of cultivation in 5-L bioreactor. Overall, strategies described here worked up a promising method combining HTS and multidimensional regulation for developing cell factories for products in interest.

Phenotype-genotype mapping reveals the betaine-triggered L-arginine overproduction mechanism in Escherichia coli

The production phenotype improvement of industrial microbes is extremely needed and challenging. Environmental factors optimization provides insightful ideas to trigger the superior production phenotype by activating potential genetic determiners. Here, phenotype-genotype mapping was used to dissect the betaine-triggered L-arginine overproduction mechanism and mine beneficial genes for further improving production phenotype. The comparative transcriptomic analysis revealed a novel role for betaine in modulating global gene transcription. Guided by this finding, 4 novel genes (cynX, cynT, pyrB, and rhaB) for L-arginine biosynthesis were identified via reverse engineering. Moreover, the rhaB deletion was demonstrated as a common metabolic engineering strategy to improve ATP pool in E. coli. By combinatorial genes manipulation, the L-arginine titer and yield increased by 17.9% and 28.9% in a 5-L bioreactor without betaine addition. This study revealed the molecular mechanism of gene transcription regulation by betaine and developed a superior L-arginine overproducer that does not require betaine.

An improved CRISPRi system in Pichia pastoris

CRISPR interference (CRISPRi) has been developed and widely used for gene repression in various hosts. Here we report an improved CRISPRi system in Pichia pastoris by fusing dCas9 with endogenous transcriptional repressor domains. The CRISPRi system shows strong repression of eGFP, with the highest efficiency of 85%. Repression of native genes is demonstrated by targeting AOX1 promoter. AOX1 is efficiently repressed and the mutant strains show much slower growth in methanol medium. Effects of gRNA expression and processing on CRISPRi efficiency is also investigated. It is found that gRNA processing by HH/HDV ribozymes or Csy4 endoribonuclease generating clean gRNA is critical to achieve strong repression, and Csy4 cleavage shows higher repression efficiency. However, gRNA expression using native tRNA transcription and processing systems results in relatively weaker repression of eGFP. By expression of two gRNAs targeting promoters of eGFP and AOX1 in an array together with Cys4 recognition sites, both genes can be repressed simultaneously. Cys4-mediated gRNA array processing is further applied to repress fatty acyl-CoA synthetase genes (FAA1 and FAA2). Both genes are efficiently repressed, demonstrating that Cys4 endoribonuclease has the ability to cleave gRNAs array and can be can be used for multiplexed gene repression in P. pastoris.

Metabolic engineering of Halomonas bluephagenesis for high-level mevalonate production from glucose and acetate mixture

Mevalonate (MVA) plays a crucial role as a building block for the biosynthesis of isoprenoids. In this study, we engineered Halomonas bluephagenesis to efficiently produce MVA. Firstly, by screening MVA synthetases from eight different species, the two efficient candidate modules, specifically NADPH-dependent mvaESEfa from Enterococcus faecalis and NADH-dependent mvaESLca from Lactobacillus casei, were integrated into the chromosome, leading to the construction of the H. bluephagenesis MVA11. Through the synergetic utilization of glucose and acetate as mixed carbon sources, MVA11 produced 11.2 g/L MVA with a yield of 0.45 g/g (glucose + acetic acid) in the shake flask. Subsequently, 10 beneficial genes out of 50 targets that could promote MVA production were identified using CRISPR interference. The simultaneous repression of rpoN (encoding RNA polymerase sigma-54 factor) and IldD (encoding L-lactate dehydrogenase) increased MVA titer (13.3 g/L) by 19.23% and yield (0.53 g/g (glucose + acetic acid)) by 17.78%, respectively. Furthermore, introducing the non-oxidative glycolysis (NOG) pathway into MVA11 enhanced MVA yield by 12.20%. Ultimately, by combining these strategies, the resultant H. bluephagenesis MVA13/pli-63 produced 13.9 g/L MVA in the shake flask, and the yield increased to 0.56 g/g (glucose + acetic acid), which was the highest reported so far. Under open fed-batch fermentation conditions, H. bluephagenesis MVA13/pli-63 produced 121 g/L of MVA with a yield of 0.42 g/g (glucose + acetic acid), representing the highest reported titer and yield in the bioreactor to date. This study demonstrates that H. bluephagenesis is one of the most favorable chassis for MVA production.

Genome-scale CRISPRi screening: A powerful tool in engineering microbiology

Deciphering gene function is fundamental to engineering of microbiology. The clustered regularly interspaced short palindromic repeats (CRISPR) system has been adapted for gene repression across a range of hosts, creating a versatile tool called CRISPR interference (CRISPRi) that enables genome-scale analysis of gene function. This approach has yielded significant advances in the design of genome-scale CRISPRi libraries, as well as in applications of CRISPRi screening in medical and industrial microbiology. This review provides an overview of the recent progress made in pooled and arrayed CRISPRi screening in microorganisms and highlights representative studies that have employed this method. Additionally, the challenges associated with CRISPRi screening are discussed, and potential solutions for optimizing this strategy are proposed.

Microbial production of odd-chain fatty acids

Odd-chain fatty acids (OcFAs) and their derivatives have attracted much attention due to their beneficial physiological effects and their potential to be alternatives to advanced fuels. However, cells naturally produce even-chain fatty acids (EcFAs) with negligible OcFAs. In the process of biosynthesis of fatty acids (FAs), the acetyl-CoA serves as the starter unit for EcFAs, and propionyl-CoA works as the starter unit for OcFAs. The lack of sufficient propionyl-CoA, the precursor, is usually regarded as the main restriction for large-scale bioproduction of OcFAs. In recent years, synthetic biology strategies have been used to modify several microorganisms to produce more propionyl-CoA that would enable an efficient biosynthesis of OcFAs. This review discusses several reported and potential metabolic pathways for propionyl-CoA biosynthesis, followed by advances in engineering several cell factories for OcFAs production. Finally, trends and challenges of synthetic biology driven OcFAs production are discussed.

Directly Evolved AlkS-Based Biosensor Platform for Monitoring and High-Throughput Screening of Alkane Production

Biosynthetic alkane using acyl-ACP aldehyde reductase (AAR) and aldehyde-deformylating oxygenase (ADO) from cyanobacteria is considered a promising alternative for the production of biofuels and chemical feedstocks. However, the lack of suitable screening methods to improve the catalytic efficiency of AAR and ADO has hindered further improvements in alkane production. Herein, a novel alkane biosensor was developed based on transcriptional factor AlkS by directed evolution, which shows sensitive dynamic response curves for exogenous long-chain alkanes as well as in situ monitoring of endogenously produced alkanes. The evolved biosensor enables high-throughput screening of alkane-producing strains from the AAR and ADO mutant library, which led to a 13-fold increase in the production of long-chain alkanes, including a 22-fold increase of C15. This study is the first to improve the alkane production through biosensors, which provides a good reference for the establishment of microbial cell factories for alkane production.

New Target Gene Screening Using Shortened and Random sgRNA Libraries in Microbial CRISPR Interference

CRISPR interference (CRISPRi) screening has been used for identification of target genes related to specific phenotypes using single-molecular guide RNA (sgRNA) libraries. In CRISPRi screening, the sizes of random sgRNA libraries contained with the original target recognition sequences are large (∼1012). Here, we demonstrated that the length of the target recognition sequence (TRS) can be shortened in sgRNAs from the original 20 nucleotides (N20) to 9 nucleotides (N9) that is still sufficient for dCas9 to repress target genes in the xylose operon of Escherichia coli, regardless of binding to a promoter or open reading frame region. Based on the results, we constructed random sgRNA plasmid libraries with 5'-shortened TRS lengths, and identified xylose metabolic target genes by Sanger sequencing of sgRNA plasmids purified from Xyl- phenotypic cells. Next, the random sgRNA libraries were harnessed to screen for target genes to enhance violacein pigment production in synthetic E. coli cells. Seventeen target genes were selected by analyzing the redundancy of the TRS in sgRNA plasmids in dark purple colonies. Among them, seven genes (tyrR, pykF, cra, ptsG, pykA, sdaA, and tnaA) have been known to increase the intracellular l-tryptophan pool, the precursor of a violacein. Seventeen cells with a single deletion of each target gene exhibited a significant increase in violacein production. These results indicate that using shortened random TRS libraries for CRISPRi can be simple and cost-effective for phenotype-based target gene screening.

Engineering Modular and Highly Sensitive Cell-Based Biosensors for Aromatic Contaminant Monitoring and High-Throughput Enzyme Screening

Although a variety of whole-cell-based biosensors have been developed for different applications in recent years, most cannot meet practical requirements due to insufficient sensing performance. Here, we constructed two sets of modular genetic circuits by serial and parallel modes capable of significantly amplifying the input/output signal in Escherichia coli. The biosensors are engineered using σ54-dependent phenol-responsive regulator DmpR as a sensor and enhanced green fluorescent protein as a reporter. Cells harboring serial and parallel genetic circuits displayed nearly 9- and 16-fold higher sensitivity than the general circuit. The genetic circuits enabled rapid detection of six phenolic contaminants in 12 h and showed the low limit of detection of 2.5 and 2.2 ppb for benzopyrene (BaP) and tetracycline (Tet), with a broad detection range of 0.01-1 and 0.005-5 μM, respectively. Furthermore, the positive rate was as high as 73% when the biosensor was applied to screen intracellular enzymes with ester-hydrolysis activity from soil metagenomic libraries using phenyl acetate as a phenolic substrate. Several novel enzymes were isolated, identified, and biochemically characterized, including serine peptidases and alkaline phosphatase family protein/metalloenzyme. Consequently, this study provides a new signal amplification method for cell-based biosensors that can be widely applied to environmental contaminant assessment and screening of intracellular enzymes.

High-Level Productivity of Lacto-N-neotetraose in Escherichia coli by Systematic Metabolic Engineering

Lacto-N-neotetraose (LNnT) is a critical component of human milk oligosaccharides. This study introduces a systems metabolic engineering method to produce LNnT in Escherichia coli. First, 12 target genes contributing to LNnT production were identified using a double-plasmid system. Subsequently, combinatorial optimization of the copy number was performed to tune the target gene expression strength. Next, the CRISPR/Cas9 system was used to block the UDP-Gal and UDP-GlcNAc competitive pathways, and the titer of LNnT reached 1.16 g/L (E27). Moreover, the lactoylglutathione lyase (GloA) was deleted to block the competing metabolite pathway from glycerol to lactate, and the titer of LNnT (1.46 g/L) was 26% higher than that of strain E27. Finally, the LNnT productivity was increased to 0.34 g/L/h in a 3 L bioreactor, which was 36% higher than the recently reported LNnT productivity. This research work opens an innovative framework for the effective production of LNnT.

A highly efficient transcriptome-based biosynthesis of non-ethanol chemicals in Crabtree negative Saccharomyces cerevisiae

BACKGROUND

Owing to the Crabtree effect, Saccharomyces cerevisiae produces a large amount of ethanol in the presence of oxygen and excess glucose, leading to a loss of carbon for the biosynthesis of non-ethanol chemicals. In the present study, the potential of a newly constructed Crabtree negative S. cerevisiae, as a chassis cell, was explored for the biosynthesis of various non-ethanol compounds.

RESULTS

To understand the metabolic characteristics of Crabtree negative S. cerevisiae sZJD-28, its transcriptional profile was compared with that of Crabtree positive S. cerevisiae CEN.PK113-11C. The reporter GO term analysis showed that, in sZJD-28, genes associated with translational processes were down-regulated, while those related to carbon metabolism were significantly up-regulated. To verify a potential increase in carbon metabolism for the Crabtree negative strain, the production of non-ethanol chemicals, derived from different metabolic nodes, was then undertaken for both sZJD-28 and CEN.PK113-11C. At the pyruvate node, production of 2,3-butanediol and lactate in sZJD-28-based strains was remarkably higher than that of CEN.PK113-11C-based ones, representing 16.8- and 1.65-fold increase in titer, as well as 4.5-fold and 0.65-fold increase in specific titer (mg/L/OD), respectively. Similarly, for shikimate derived p-coumaric acid, the titer of sZJD-28-based strain was 0.68-fold higher than for CEN.PK113-11C-based one, with a 0.98-fold increase in specific titer. While farnesene and lycopene, two acetoacetyl-CoA derivatives, showed 0.21- and 1.88-fold increases in titer, respectively. From malonyl-CoA, the titer of 3-hydroxypropionate and fatty acids in sZJD-28-based strains were 0.19- and 0.76-fold higher than that of CEN.PK113-11C-based ones, respectively. In fact, yields of products also improved by the same fold due to the absence of residual glucose. Fed-batch fermentation further showed that the titer of free fatty acids in sZJD-28-based strain 28-FFA-E reached 6295.6 mg/L with a highest reported specific titer of 247.7 mg/L/OD in S. cerevisiae.

CONCLUSIONS

Compared with CEN.PK113-11C, the Crabtree negative sZJD-28 strain displayed a significantly different transcriptional profile and obvious advantages in the biosynthesis of non-ethanol chemicals due to redirected carbon and energy sources towards metabolite biosynthesis. The findings, therefore, suggest that a Crabtree negative S. cerevisiae strain could be a promising chassis cell for the biosynthesis of various chemicals.

Programmable synthetic biology tools for developing microbial cell factories

Microbial conversion to generate value-added chemicals from diverse biomass is one of the keystones of energy biotechnology. Programmable synthetic biology tools offer versatile, standardized options for developing microbial cell factories. These tools thus can be reprogrammed in a user-defined manner for flexible wiring of stimuli and response, highly efficient genome engineering, and extensive perturbation of metabolic flux and genetic circuits. They also can be modularly assembled to construct elaborate and unprecedented biological systems with unique features. This review highlights recent advances in programmable synthetic biology tools based on biosensors, CRISPR-Cas, and RNA devices for developing microbial cell factories that have the potential to be utilized for energy biotechnology.

Shikimic acid biosynthesis in microorganisms: Current status and future direction

Shikimic acid (SA), a hydroaromatic natural product, is used as a chiral precursor for organic synthesis of oseltamivir (Tamiflu®, an antiviral drug). The process of microbial production of SA has recently undergone vigorous development. Particularly, the sustainable construction of recombinant Corynebacterium glutamicum (141.2 g/L) and Escherichia coli (87 g/L) laid a solid foundation for the microbial fermentation production of SA. However, its industrial application is restricted by limitations such as the lack of fermentation tests for industrial-scale and the requirement of growth-limiting factors, antibiotics, and inducers. Therefore, the development of SA biosensors and dynamic molecular switches, as well as genetic modification strategies and optimization of the fermentation process based on omics technology could improve the performance of SA-producing strains. In this review, recent advances in the development of SA-producing strains, including genetic modification strategies, metabolic pathway construction, and biosensor-assisted evolution, are discussed and critically reviewed. Finally, future challenges and perspectives for further reinforcing the development of robust SA-producing strains are predicted, providing theoretical guidance for the industrial production of SA.

CRISPRi-microfluidics screening enables genome-scale target identification for high-titer protein production and secretion

Genome-scale target identification promises to guide microbial cell factory engineering for higher-titer production of biomolecules such as recombinant proteins (r-protein), but challenges remain due to the need not only for comprehensive genotypic perturbation but also in conjunction with high-throughput phenotypic screening strategies. Here, we developed a CRISPRi-microfluidics screening platform to systematically identify crucial gene targets that can be engineered to enhance r-protein secretion in Corynebacterium glutamicum. We created a CRISPR interference (CRISPRi) library containing 46,549 single-guide RNAs, where we aimed to unbiasedly target all genes for repression. Meanwhile, we developed a highly efficient droplet-based microfluidics system integrating the FlAsH-tetracysteine assay that enables screening of millions of strains to identify potential knockdowns conducive to nanobody VHH secretion. Among our highest-ranking candidates are a slew of previously unknown targets involved in transmembrane transport, amino-acid metabolism and redox regulation. Guided by these findings, we eventually constructed a hyperproducer for multiple proteins via combinatorial engineering of redox-response transcription factors. As the near-universal applicability of CRISPRi technology and the FlAsH-based screening platform, this procedure might be expanded to include a varied variety of microbial species and recombinant proteins.

CRISPR/FnCas12a-mediated efficient multiplex and iterative genome editing in bacterial plant pathogens without donor DNA templates

CRISPR-based genome editing technology is revolutionizing prokaryotic research, but it has been rarely studied in bacterial plant pathogens. Here, we have developed a targeted genome editing method with no requirement of donor templates for convenient and efficient gene knockout in Xanthomonas oryzae pv. oryzae (Xoo), one of the most important bacterial pathogens on rice, by employing the heterologous CRISPR/Cas12a from Francisella novicida and NHEJ proteins from Mycobacterium tuberculosis. FnCas12a nuclease generated both small and large DNA deletions at the target sites as well as it enabled multiplex genome editing, gene cluster deletion, and plasmid curing in the Xoo PXO99A strain. Accordingly, a non-TAL effector-free polymutant strain PXO99AD25E, which lacks all 25 xop genes involved in Xoo pathogenesis, has been engineered through iterative genome editing. Whole-genome sequencing analysis indicated that FnCas12a did not have a noticeable off-target effect. In addition, we revealed that these strategies are also suitable for targeted genome editing in another bacterial plant pathogen Pseudomonas syringae pv. tomato (Pst). We believe that our bacterial genome editing method will greatly expand the CRISPR study on microorganisms and advance our understanding of the physiology and pathogenesis of Xoo.

A direct enzymatic evaluation platform (DEEP) to fine-tuning pyridoxal 5'-phosphate-dependent proteins for cadaverine production

Pyridoxal 5'-phosphate (pyridoxal phosphate, PLP) is an essential cofactor for multiple enzymatic reactions in industry. However, cofactor engineering based on PLP regeneration and related to the performance of enzymes in chemical production has rarely been discussed. First, we found that MG1655 strain was sensitive to nitrogen source and relied on different amino acids, thus the biomass was significantly reduced when PLP excess in the medium. Then, the six KEIO collection strains were applied to find out the prominent gene in deoxyxylulose-5-phosphate (DXP) pathway, where pdxB was superior in controlling cell growth. Therefore, the clustered regularly interspaced short palindromic repeats interference (CRISPRi) targeted on pdxB in MG1655 was employed to establish a novel direct enzymatic evaluation platform (DEEP) as a high-throughput tool and obtained the optimal modules for incorporating of PLP to enhance the biomass and activity of PLP-dependent enzymes simultaneously. As a result, the biomass has increased by 55% using P_lacI promoter driven pyridoxine 5'-phosphate oxidase (PdxH) with a trace amount of precursor. When the strains incorporated DEEP and lysine decarboxylase (CadA), the cadaverine productivity was increased 32% due to the higher expression of CadA. DEEP is not only feasible for high-throughput screening of the best chassis for PLP engineering but also practical in fine-tuning the quantity and quality of enzymes.

Combinatorial Metabolic Engineering Strategies for the Enhanced Production of Free Fatty Acids in Escherichia coli

In this study, we evaluated the effects of several metabolic engineering strategies in a systematic and combinatorial manner to enhance the free fatty acid (FFA) production in Escherichia coli. The strategies included (i) overexpression of mutant thioesterase I ('TesA^R64C) to efficiently release the FFAs from fatty acyl-ACP; (ii) coexpression of global regulatory protein FadR; (iii) heterologous expression of methylmalonyl-CoA carboxyltransferase and phosphoenolpyruvate carboxylase to synthesize fatty acid precursor molecule malonyl-CoA; and (iv) disruption of genes associated with membrane proteins (GusC, MdlA, and EnvR) to improve the cellular state and export the FFAs outside the cell. The synergistic effects of these genetic modifications in strain SBF50 yielded 7.2 ± 0.11 g/L FFAs at the shake flask level. In fed-batch cultivation under nitrogen-limiting conditions, strain SBF50 produced 33.6 ± 0.02 g/L FFAs with a productivity of 0.7 g/L/h from glucose, which is the maximum titer reported in E. coli to date. Combinatorial metabolic engineering approaches can prove to be highly useful for the large-scale production of FA-derived chemicals and fuels.

Highly efficient multiplex base editing: One-shot deactivation of eight genes in Shewanella oneidensis MR-1

Obtaining electroactive microbes capable of efficient extracellular electron transfer is a large undertaking for the scalability of bio-electrochemical systems. Inevitably, researchers need to pursue the co-modification of multiple genes rather than expecting that modification of a single gene would make a significant contribution to improving extracellular electron transfer rates. Base editing has enabled highly-efficient gene deactivation in model electroactive microbe Shewanella oneidensis MR-1. Since multiplexed application of base editing is still limited by its low throughput procedure, we thus here develop a rapid and efficient multiplex base editing system in S. oneidensis. Four approaches to express multiple gRNAs were assessed firstly, and transcription of each gRNA cassette into a monocistronic unit was validated as a more favorable option than transcription of multiple gRNAs into a polycistronic cluster. Then, a smart scheme was designed to deliver one-pot assembly of multiple gRNAs. 3, 5, and 8 genes were deactivated using this system with editing efficiency of 83.3%, 100% and 12.5%, respectively. To offer some nonrepetitive components as alternatives genetic parts of sgRNA cassette, different promoters, handles, and terminators were screened. This multiplex base editing tool was finally adopted to simultaneously deactivate eight genes that were identified as significantly downregulated targets in transcriptome analysis of riboflavin-overproducing strain and control strain. The maximum power density of the multiplex engineered strain HRF(8BE) in microbial fuel cells was 1108.1 mW/m², which was 21.67 times higher than that of the wild-type strain. This highly efficient multiplexed base editing tool elevates our ability of genome manipulation and combinatorial engineering in Shewanella, and may provide valuable insights in fundamental and applied research of extracellular electron transfer.