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At least 19 recordsLinked to original sources
PubMed2025

Hierarchical metabolic engineering for rewiring cellular metabolism.

Metabolic engineering is a key enabling technology for rewiring cellular metabolism to enhance production of chemicals, biofuels, and materials from renewable resources. However, how to make cells into efficient factories is still challenging due to its robust metabolic networks. To open this door, metabolic engineering has realized great breakthroughs through three waves of technological research and innovations, especially the third wave. To understand the third wave of metabolic engineering better, we discuss its mainstream strategies and examples of its application at five hierarchies, including part, pathway, network, genome, and cell level, and provide insights as to how to rewire cellular metabolism in the context of maximizing product titer, yield, and productivity. Finally, we highlight future perspectives on metabolic engineering for the successful development of cell factories.

Metabolic Engineering↗
PubMed2026

Multistrategy metabolic engineering of Talaromyces pinophilus for α-amylase production from lignocellulosic biomass.

Filamentous fungi are important hosts for industrial enzyme production. Growing demand for α-amylase has increased reliance on food-derived carbon substrates, necessitating fungal strains that efficiently utilize nongrain biomass. In this study, Talaromyces pinophilus Y117 was metabolically engineered to produce α-amylase from lignocellulosic biomass. A strong cellobiohydrolase I gene (cbh1) promoter (Pcbh1Tru) was identified to drive expression. Multiple rounds of multilocus integration of the α-amylase gene were performed using homologous multicopy genomic sequences as recombination arms with a Cre/loxP-based recyclable selection system, yielding the multicopy strain Tp4, which achieved 4124.5 U/mL α-amylase activity in shake-flask fermentation with corncob powder as the sole carbon source. To minimize enzyme degradation, the protease gene 8538 was deleted using the Cre/lox2272 system, generating Tp4Δp. This strain showed a 50% increase in shake-flask α-amylase activity (6208.4 U/mL). In 3-L bioreactor cultivation, Tp4Δp exhibited excellent production performance, achieving 26 712.2 U/mL α-amylase activity. When corncob powder was used as the sole substrate, the cellulose and hemicellulose degradation rates reached 90.00% and 70.01%, respectively, and the enzyme yield reached 213 697.5 U per gram of corncob powder. This engineered strain demonstrates strong potential for industrial applications. The synthesis-degradation synergistic optimization strategy provides a practical approach for engineering filamentous fungal cell factories to produce enzymes directly from lignocellulosic biomass. One sentence summary Metabolic engineering of Talaromyces pinophilus through promoter optimization, multicopy integration, and protease deletion enables efficient α-amylase production from lignocellulosic biomass, achieving 26 712 U/mL in bioreactor fermentation.

Talaromyces↗
PubMed2026

Metabolic engineering of Candida yeasts for biotechnological applications.

Candida yeasts represent a versatile yet underexploited platform for industrial biotechnology. These yeasts utilize a remarkably broad range of carbon sources, particularly for hydrophobic carbon sources, coupled with robust growth and diverse biosynthetic capacities, making them promising hosts for sustainable production of chemicals, fuels, and proteins. Despite these advantages, industrial deployment of Candida species has been hindered by concerns regarding opportunistic pathogenicity and the historical lack of efficient genetic manipulation tools, leading to a substantial gap between metabolic potential and practical utilization. Recent advances in functional genomics, genome editing, and systems metabolic engineering are rapidly overcoming these barriers, enabling more precise and efficient strain development. In this review, we systematically summarize recent progress in the metabolic engineering of Candida species as microbial cell factories, with particular emphasis on expanding genetic toolkits, utilizting renewable and non-conventional carbon sources, and biosynthesizing high-value compounds. In addition, we propose a biosafety-oriented classification framework to support their safe industrial deployment. Finally, we discuss current challenges and emerging opportunities, emphasizing that the synergy of synthetic biology and artificial intelligence-driven design holds the key to unlocking the biotechnological potential of Candida yeasts.

Candida↗
PubMed2026

Metabolic Engineering of Probiotic Saccharomyces boulardii Enables Intestinal 3-Hydroxybutyrate Delivery and Alters Short-Chain Fatty Acid Profiles in Mice.

3-Hydroxybutyric acid (3-HB) is a bioactive ketone body involved in the regulation of intestinal inflammation and metabolic homeostasis. Although engineered bacterial probiotics have been developed for localized 3-HB delivery, their susceptibility to antibacterial antibiotics may limit their use during concurrent antibiotic treatment. The probiotic yeast Saccharomyces boulardii offers an alternative host for intestinal 3-HB delivery because of its compatibility with antibacterial antibiotics and the availability of well-established genetic engineering tools. Here, we engineered S. boulardii for 3-HB production using Cas9-mediated genome editing. A heterologous 3-HB biosynthetic pathway was introduced into S. boulardii MYA-797, and endogenous acetyl-CoA and ethanol metabolism was subsequently rewired by overexpressing ACS1, deleting ADH1, and overexpressing ADH7. The optimized strain, SbDY02, produced 1.7 g/L 3-HB under microaerobic conditions. Oral administration of SbDY02 to C57BL/6J mice increased fecal 3-HB and short-chain fatty acid (SCFA) concentrations by 1.89-fold and 1.68-fold, respectively, compared with mice receiving the parental strain. Repeated administration also increased fecal acetate and circulating total SCFAs, butyrate, and propionate. In human colonic epithelial cells, purified 3-HB attenuated lipopolysaccharide-induced p38 MAPK phosphorylation, supporting its direct activity toward inflammation-associated epithelial signaling. To our knowledge, this study provides the first demonstration of a 3-HB-producing probiotic yeast and links central metabolic engineering of S. boulardii with increased 3-HB availability, altered SCFA profiles, and a host-relevant epithelial response.

3-hydroxybutyrate↗
PubMed2026

Hormone priming and metabolic engineering of phytohormone crosstalk in rice under combined biotic and abiotic stresses: a multi-omics perspective for climate-resilient crop development.

Rice (Oryza sativa L.) is the caloric backbone for more than half of humanity, yet it remains one of the most vulnerable crops to the simultaneous biotic and abiotic stresses exacerbated by climate change. Phytohormone priming and the complex crosstalk networks governed by transcription factor hubs like WRKY, MYB, and NAC serve as the central adaptive mechanism for stress resilience. This review synthesizes how multi-omics integration, including spatial and single-cell transcriptomics, is resolving the molecular architecture of hormonal priming and epigenetic stress memory. We critically evaluate advanced metabolic engineering and genome-editing strategies such as CRISPR-Cas9, base/prime editing, and synthetic gene circuits that enable precision modifications to decouple stress tolerance from historical yield penalties. Furthermore, we discuss the emerging roles of microbiome-assisted priming via synthetic consortia and the application of artificial intelligence and digital twins (continuously updated computational models of crop physiology) for predictive stress management. By integrating these diverse technological pillars, we propose a systems-level roadmap for developing climate-resilient rice cultivars capable of maintaining yield stability across a volatile combinatorial stress landscape. This synthesis provides a framework for translating mechanistic hormonal insights into field-applicable cultivars to ensure global food security.

CRISPR↗
PubMed2026

A digital PCR-based platform for rapid assessment of chloroplast stress adaptation in microalgal metabolic engineering.

Microalgae rapidly adjust their chloroplast physiology in response to environmental stress, and these adaptive responses are closely associated with cellular fitness and metabolic performance. However, conventional assessments of stress adaptation primarily rely on growth characteristics, pigment accumulation, or physiological measurements, which often require extended cultivation periods and may not capture early molecular responses. In this study, we introduce a digital PCR (dPCR)-based platform for rapid assessment of chloroplast stress adaptation in microalgae. The platform quantifies the chloroplast-to-nuclear genome copy number ratio (C/N ratio) using multiplex dPCR and utilizes this metric as a molecular indicator of chloroplast acclimation. As a proof-of-concept, the assay was applied to the halotolerant microalga Dunaliella salina cultivated under different salinity stress conditions. Distinct temporal changes in the C/N ratio were observed across salinity treatments, indicating dynamic chloroplast genome remodeling during stress adaptation. The assay enabled sensitive detection of chloroplast responses at early cultivation stages, prior to the appearance of clear phenotypic differences. These findings demonstrate that chloroplast-to-nuclear genome quantification by dPCR provides a rapid and reproducible approach for monitoring chloroplast stress adaptation in microalgae. The proposed platform offers a practical molecular tool for strain evaluation, cultivation optimization, and stress-response studies, and may support future applications in microalgal biotechnology and industrial production systems.

Microalgae↗
PubMed2025

Engineering of xylose metabolic pathways in Rhodotorula toruloides for sustainable biomanufacturing.

The oleaginous yeast Rhodotorula toruloides is a promising microbial cell factory for the sustainable production of biofuels and value-added chemicals from renewable carbon sources. Unlike the conventional yeast Saccharomyces cerevisiae, R. toruloides can naturally metabolize xylose, the second most abundant sugar in lignocellulosic hydrolysates. However, its native xylose metabolism is inefficient, characterized by slow xylose uptake and accumulation of D-arabitol. Moreover, despite its phenotype, research on the enzymes involved in xylose metabolism has yet to reach a consensus. Therefore, this review provides a comprehensive analysis of the non-canonical xylose metabolism in R. toruloides, focusing on the properties of key enzymes involved in xylose metabolism. Native xylose reductase and xylitol dehydrogenase exhibit broad substrate promiscuity compared to their counterparts in the xylose-fermenting Scheffersomyces stipitis. Additionally, the absence of xylulokinase expression under xylose-utilizing conditions redirects metabolism toward D-arabitol accumulation. Consequently, D-arabitol dehydrogenases and ribulokinase play essential roles in the xylose metabolism of R. toruloides. These findings highlight the fundamental differences between R. toruloides xylose metabolism and the oxidoreductase pathways observed in other xylose-fermenting yeast, providing insights for metabolic engineering strategies to improve xylose utilization and enhance bioconversion of cellulosic hydrolysates to different bioproducts by R. toruloides.

Xylose↗
PubMed2025

FluxRETAP: a REaction TArget Prioritization genome-scale modeling technique for selecting genetic targets.

MOTIVATION: Metabolic engineering is rapidly evolving as a result of new advances in synthetic biology tools and automation platforms that enable high throughput strain construction, as well as the development of machine learning tools (ML) for biology. However, selecting genetic engineering targets that effectively guide the metabolic engineering process is still challenging. ML can provide predictive power for synthetic biology, but current technical limitations prevent the independent use of ML approaches without previous biological knowledge. RESULTS: Here, we present FluxRETAP, a simple and computationally inexpensive method that leverages the prior mechanistic knowledge embedded in genome-scale models for suggesting targets for genetic overexpression, downregulation or deletion, with the final goal of increasing the production of a desired metabolite. This method can provide a list of desirable engineering targets that can be combined with current ML pipelines. FluxRETAP captured 100% of reaction targets experimentally verified to improve Escherichia coli isoprenol production, 50% of targets that experimentally improved taxadiene production in E. coli and ∼60% of genetic targets from a verified minimal constrained cut-set in Pseudomonas putida, while providing additional high priority targets that could be tested. Overall, FluxRETAP is an efficient algorithm for identifying a prioritized list of testable genetic and reaction targets. AVAILABILITY AND IMPLEMENTATION: FluxRETAP is implemented in python and released under the creative commons license. The implementation and code are freely available at: https://github.com/JBEI/FluxRETAP.

Escherichia coli↗
PubMed2026

Mechanistic Perspectives From Genomics and Pangenomics of Medicinal and Aromatic Plants: Linking Genome Architecture to Phytochemical Diversity.

Medicinal and aromatic plants (MAPs) produce a remarkable diversity of specialized metabolites with significant pharmaceutical, nutraceutical, and industrial value. Although advances in long-read sequencing, chromosome-scale genome assembly, and pangenomics have greatly expanded genomic resources, the mechanistic links between genome architecture and phytochemical diversity remain incompletely understood. The present review synthesizes current evidence describing how structural genomic variation may contribute to phytochemical diversity, while acknowledging that many proposed genome-to-metabolite relationships require further experimental validation. Examples illustrate how genome architecture is associated with specialized-metabolite biosynthesis through multiple regulatory processes. However, the strength of supporting evidence varies considerably among MAP species. Moreover, relatively few genome-to-metabolite relationships have been confirmed through direct functional validation. We further discuss how pangenomics, multiomics integration, genome editing, synthetic biology, and artificial intelligence support the discovery, validation, and engineering of specialized metabolic pathways. Casual conclusions are evaluated according to the strength of available evidence, highlighting where causal relationships have been experimentally established and where conclusions remain primarily association-based. Overall, this review provides an integrated conceptual and evidence-based perspective summarizing proposed relationships between genome architecture and phytochemical diversity and outlines future priorities for functional genomics, precision breeding, metabolic engineering, and sustainable utilization of MAPs.

artificial intelligence↗
PubMed2026

Membrane and proteome allocation constraints in Escherichia coli models during overflow metabolism.

The allocation of finite cellular resources is a fundamental principle that dictates microbial metabolic strategies and gives rise to complex phenomena, such as overflow metabolism, characterized by the production of respiro-fermentative by-products, including acetate, during rapid growth. Although proteome-constrained models have successfully predicted overflow metabolism in Escherichia coli, they often overlook the distinct biophysical and energetic costs associated with protein localization. The cellular membrane, in particular, represents a critical and constrained compartment where competition for space and synthesis machinery can create significant metabolic bottlenecks. To investigate this, we developed the membrane-associated constrained flux balance analysis (MAFBA), a scalable, genome-scale metabolic model that introduces a tunable constraint on the total protein mass allocated to the cellular membrane. Our model demonstrates that the overall and membrane-associated proteome allocation constraints interact to improve the accuracy of predicting the onset of overflow metabolism. It mechanistically reveals that at high growth rates, competition for limited membrane allocation forces a trade-off between growth-essential functions and respiratory capacity, leading to acetate production. Furthermore, MAFBA quantitatively explains the widely observed experimental phenomenon that expressing heterologous membrane proteins imposes a significantly higher metabolic burden than expressing cytosolic proteins. This study establishes membrane resource allocation as a key constraint governing bacterial physiology, acting in concert with overall proteome limitations. The resulting MAFBA framework provides a powerful and accessible tool for synthetic biology and metabolic engineering, enabling the prediction of metabolic costs associated with expressing membrane-bound proteins and guiding strain design strategies, holding promise for applications in bioproduction and metabolic engineering.

Escherichia coli↗
PubMed2025

A new tool for engineering Phaeodactylum tricornutum: the METE promoter drives both high expression and B12-tuneable regulation of transgenes.

For advanced metabolic engineering strategies, it is crucial to be able to regulate transgene expression, to prevent potential deleterious effects in the host organism during growth and allow optimisation of production levels. Here, we identified vitamin B12 (cobalamin)-responsive promoters in the diatom Phaeodactylum tricornutum, a promising biotechnological chassis that readily absorbs this metabolite with minimal physiological impact. Using promoter-reporter constructs, the promoters of the cobalamin acquisition protein 1 (CBA1) and the B12-independent form of methionine synthase (METE) were shown to regulate transgene expression in a B12-dependent manner. Further characterisation of the METE promoter (PMETE) demonstrated that it exhibited significantly higher expression levels than several previously characterised promoters, but could be repressed by nanomolar amounts of B12, with a dynamic range >100-fold. Tight regulation was demonstrated by the suppression of the lethal ribonuclease, barnase at 1 μg L-1 B12. Reporter expression was doubled when PMETE was paired with its cognate terminator, compared with the widely used FCPA terminator. Promoter truncations resulted in decreased expression, but no loss of B12 regulation. A 14 nucleotide motif, present in four copies in PMETE, was found to be necessary for expression, and when fused to the constitutive FCPA promoter, enhanced expression levels. Transgenic lines expressing the heterologous diterpenoid enzyme, casbene synthase, produced casbene titres of approximately 2 mg L-1 and this was tuneable by B12. This demonstrates the utility of PMETE in efforts to establish P. tricornutum as an industrial biotechnology production platform.

Promoter Regions, Genetic↗
PubMed2024

Strategies in engineering sustainable biochemical synthesis through microbial systems.

Growing environmental concerns and the urgency to address climate change have increased demand for the development of sustainable alternatives to fossil-derived fuels and chemicals. Microbial systems, possessing inherent biosynthetic capabilities, present a promising approach for achieving this goal. This review discusses the coupling of systems and synthetic biology to enable the elucidation and manipulation of microbial phenotypes for the production of chemicals that can substitute for petroleum-derived counterparts and contribute to advancing green biotechnology. The integration of artificial intelligence with metabolic engineering to facilitate precise and data-driven design of biosynthetic pathways is also discussed, along with the identification of current limitations and proposition of strategies for optimizing biosystems, thereby propelling the field of chemical biology towards sustainable chemical production.

Metabolic Engineering↗
PubMed2025

Engineering recombination machinery facilitates the construction of yeast cell factories.

Advances in genome editing have been promoted by programmable nucleases like CRISPR-Cas9, which triggers endogenous DNA repair mechanisms by inducing double-strand break (DSB). Cellular responses to DSBs are governed by competing repair pathways: error-prone non-homologous end joining (NHEJ) and high-fidelity homologous recombination (HR). This review systematically compares the molecular mechanisms and key regulators of NHEJ and HR, with a focus on recent breakthroughs in recombination engineering in non-conventional yeasts. These advances address challenges in precise genome editing, enabling robust metabolic engineering of yeast cell factories for sustainable bioproduction.

Metabolic Engineering↗
PubMed2026

A Comprehensive Review on the Biosynthesis of Tropane Alkaloids.

Tropane alkaloids (TA) constitute a class of plant specialized metabolites with important pharmaceutical applications, including the anticholinergic agents hyoscyamine and scopolamine and the local anesthetic cocaine. Over the past decade, advances in genomics, structural biology, and synthetic biology have substantially revised our understanding of TA biosynthesis, leading to the identification of numerous key biosynthetic enzymes and evolutionary mechanisms. This review comprehensively summarizes current knowledge of TA biosynthesis from precursor formation to structurally diverse end products. We describe the pathway from putrescine to tropinone, the stereoselective metabolic branching mediated by Tropinone Reductases, and the downstream biosynthesis of medicinal tropane alkaloids, calystegines, and cocaine. Particular emphasis is placed on recent discoveries concerning catalytic mechanisms, structural determinants of substrate specificity, metabolic compartmentalization, and the convergent evolution of TA biosynthesis in Solanaceae and Erythroxylaceae. We further integrate advances in genomics, evolutionary biology, and metabolic engineering to highlight emerging strategies for microbial production and pathway redesign. By providing a comprehensive synthesis of recent progress and critical perspectives on unresolved questions, this review offers an updated framework for understanding TA biosynthesis and supports future research in plant specialized metabolism, synthetic biology, and natural product engineering.

Tropanes↗
PubMed2026

Genomic features, metabolism, and biotechnological applications of Candida tropicalis and other non-albicans Candida species.

The production of bio-based products by yeasts from agroindustrial byproducts is a key strategy for advancing circular bioeconomy. While Saccharomyces species remain the predominant industrial yeasts, their limited ability to assimilate lactose, pentoses, and glycerol, as well as their sensitivity to lignocellulose-derived inhibitors, restricts their efficient application in bioprocesses based on using industrial byproducts as fermentation media. In contrast, several non-albicans Candida species exhibit broad substrate utilization capacities and enhanced tolerance to industrial stresses, making them attractive candidates for the bioconversion of agroindustrial residues. This review critically examines recent advances in the genomic, metabolic, and physiological characterization of promising non-albicans Candida species, including Candida tropicalis, Candida parapsilosis, Candida viswanathii, Candida sojae, and Candida maltosa. Emphasis is given to genome-scale metabolic models, carbon assimilation pathways, stress-response mechanisms, and metabolic engineering approaches aiming at the production of value-added compounds. By identifying current achievements, knowledge gaps, and biotechnological bottlenecks, this review highlights the potential of these yeasts as emerging platforms for sustainable bioprocesses within a circular bioeconomy framework.

Biotechnology↗
PubMed2026

Enhancing phytosterol tolerance and Repeated-Batch androstenedione production in Mycolicibacterium by modulating global acylation levels.

Global protein lysine acylation, driven by intracellular acyl-coenzyme A (acyl-CoA) accumulation during phytosterol catabolism, has emerged as a potential regulatory mechanism in steroid biotransformation, yet its role in androstenedione (AD) production by Mycolicibacterium remains unexplored. Here, we identified and functionally characterized two antagonistic enzymes in Mycobacterium sp. LZ2 (Msp): MpKat, a GNAT-family acyltransferase catalyzing lysine succinylation, and MpSir, an NAD+-dependent Sirtuin-family deacylase. Genome-wide prediction indicated that 21.56% of lysine residues in the Msp proteome are potential acylation sites, underscoring the broad regulatory impact of this modification. Targeted genetic manipulation revealed that MpSir overexpression increased AD yield by 13.28% (to 83.24%), and MpKat knockout improved yield by 8.86%, while MpKat overexpression decreased yield by 8.69%. Reducing global acylation levels alleviated oxidative stress, elevated NAD+/NADH ratios, enhanced phytosterol tolerance, and improved cell viability. In repeated-batch fermentation, the MpSir-overexpressing strain achieved an average AD yield of 76.5% with a 51% reduction in fermentation time compared to the wild type. This work demonstrates for the first time that modulation of protein acylation via the MpKat/MpSir regulatory axis is a viable and effective strategy to enhance steroid bioconversion in mycobacteria, offering a new dimension for metabolic engineering beyond conventional pathway optimization.

Androstenedione↗
PubMed2026

Integrated proteomic and acetylomic analyses reveal the metabolic reprogramming associated with increased tylosin-equivalent concentration in Streptomyces xinghaiensis sf106-B1.

Deciphering the metabolic basis of high-yield antibiotic production in Streptomyces is crucial for strain optimization. Atmospheric and room-temperature plasma (ARTP) mutagenesis of Streptomyces xinghaiensis sf106 generated a mutant with a 30% increase in tylosin-equivalent concentration (μg/mL). 4D-FastDIA quantitative proteomics identified 279 differentially abundant proteins enriched in the Type I polyketide synthase (PKS) pathway, with increased abundance of key macrolide-biosynthesis-related proteins. Lysine-acetylome profiling identified 1152 differentially abundant acetylation sites and revealed altered acetylation of enzymes involved in fatty acid metabolism and the tricarboxylic acid (TCA) cycle, suggesting adjustments in central metabolism associated with acyl-CoA precursor availability and energy generation. Integration of proteomic and acetylomic data suggests coordinated changes in protein abundance and lysine acetylation associated with the increased tylosin-equivalent concentration. These results highlight candidate nodes for rational metabolic engineering of S. xinghaiensis.

Streptomyces↗
PubMed2026

Genome-scale overexpression screening identifies product tolerance and efflux transport as key determinants of high-level L-tryptophan production in Escherichia coli.

L-tryptophan is a high-value aromatic amino acid widely used in the food, feed, and pharmaceutical industries. However, large-scale microbial production is constrained by insufficient precursor supply and limited strain tolerance to high product concentrations. In this study, modular metabolic engineering was first employed to enhance the availability of key precursors, including shikimate, serine, and glutamine, yielding strain TRPJ-13 with a 34.6% increase in L-tryptophan titer. To enhance strain tolerance, an indigo-based high-throughput reporter system was constructed and coupled with genome-scale overexpression library screening, leading to the identification of soxS as a tolerance-conferring target. Mechanistic analysis demonstrated that soxS upregulated lpxC to enhance lipopolysaccharide biosynthesis, thereby reinforcing membrane integrity and improving L-tryptophan tolerance. Combinatorial engineering of soxS and lpxC generated strain TRPJ-23, which increased L-tryptophan tolerance by 74.8% and L-tryptophan titer by 10.3%. Furthermore, YicL was identified as a novel transmembrane protein involved in L-tryptophan transport that effectively promoted L-tryptophan efflux, further increasing the titer by 9.0%. After fermentation optimization, strain TRPJ-28 produced 74.3 g/L L-tryptophan in a 5-L bioreactor, with a yield of 0.26 g/g and a productivity of 1.24 g/L/h. In a 1000-L pilot-scale bioreactor, TRPJ-28 reached a titer, yield, and productivity of 70.4 g/L, 0.25 g/g, and 1.17 g/L/h, respectively. This study provides new engineering insights for developing industrially promising L-tryptophan-producing strains.

Genome-scale overexpression screening↗