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At least 19 recordsLinked to original sources

PubMed2026

Microbial decaprenoxanthin: From understanding an extremophile-derived C50 carotenoid to its bioprocessing for large-scale applications.

Decaprenoxanthin (DPXT) is an unusual bacterial C50 carotenoid that has historically received limited attention despite its well-defined structure. For decades, carotenoid research and industrial development have been dominated by C40 carotenoids, leaving longer-chain carotenoids largely overlooked. Recent discoveries, particularly from microorganisms inhabiting Antarctic and other extreme environments, have repositioned DPXT as an adaptive pigment shaped by intense environmental pressures. Its extended polyene chain and membrane-associated behavior suggest roles in membrane stabilization and protection against ultraviolet radiation and oxidative stress, features that may hold relevance for food and biotechnological applications. This review integrates historical and recent knowledge on DPXT, covering its structural characteristics, biosynthetic pathways, ecological function, and emerging technological relevance. Special attention is given to microbial sources, particularly Actinomycetota from extreme environments, and to recent advances in microbial genomics, metabolic engineering, and sustainable bioprocess development that enable the production and exploration of C50 carotenoids beyond their native extremophilic context. The analysis highlights DPXT as a representative example of stress-resilient carotenoids, with physicochemical and membrane-interacting properties that may offer advantages for future food and biotechnological systems. Although significant challenges remain in cultivation strategies, yield optimization, and downstream recovery, advances in microbial cell factories and green extraction technologies open new opportunities for valorizing C50 carotenoids. This review bridges extremophile microbiology, carotenoid biochemistry, and sustainable food innovation, positioning DPXT as an emerging molecule that may expand the functional and structural landscape of carotenoids relevant to food science.

Carotenoids↗

PubMed2026

Role of bioprocessing in modifying cardiometabolic outcomes of an oat-based dairy alternative in a randomised controlled clinical intervention.

BACKGROUND & AIMS: A healthy diet rich in fibre-containing foods such as oats supports cardiometabolic health. Bioprocessing methods, including fermentation and enzymatic treatment, may further enhance the health benefits of oat-based foods by altering their physicochemical properties. The aims of this study were to investigate the effects of consuming fermented and non-fermented oat-based products enriched with fibre and protein on cardiometabolic outcomes gastrointestinal symptoms, and to consider how assessed physicochemical and nutritional differences between the products might relate to any observed effects. METHODS: In a 12-week randomised crossover trial, 56 adults with mild metabolic deterioration consumed fermented (gurt) and non-fermented (porridge) oat-based products enriched with fibre and protein as part of their habitual diet for three weeks each. The study products were specifically developed and prepared for this study using identical ingredients. Primary cardiometabolic factors and gastrointestinal symptoms (GSRS) were measured at four time points, while secondary outcomes were assessed at baseline and after both product periods. Physicochemical and nutritional characterization of the study products included cereal β-glucan (BG) and protein molecular weight distribution, starch and sugar analysis, microscopy, acidity, and viscosity. RESULTS: During the gurt consumption, non-high-density lipoprotein (non-HDL) and low-density lipoprotein (LDL) cholesterol concentrations decreased (-0.15 ± 0.51 mmol/L, p = 0.028; and -0.12 ± 0.46 mmol/L, p = 0.047, respectively), with a minimal impact on blood pressure and GSRS scores. Additionally, ferritin was lower after the gurt compared with baseline (-4.00 [-16.50, 6.25] μg/L, p = 0.015). Similarly, ferritin levels were lower after the porridge period (-7.50 [-20.50, 4.25] μg/L), accompanied with a modest decrease in blood pressure and HbA1c. These effects, however, did not substantially differ between the product periods. Insulin showed a significant sequence effect (psequence∗time <0.05) and was analysed in sequence groups. Insulin levels significantly decreased during the gurt consumption in the group that started with the porridge (-2.22 ± 6.16 mU/L, p = 0.015). Fermentation and enzymatic treatment induced significant changes in BG MW, starch, and composition in the gurt, which may alongside with increased fibre intake during the intervention explain the observed results. CONCLUSION: Consuming a fermented, oat-based gurt as part of habitual diet may improve cholesterol metabolism, likely due to increased oat fibre intake rather than fermentation as such. Moreover, greater intake of oat-based products, regardless of processing, can reduce ferritin concentrations and marginally improve other cardiometabolic factors. The study was registered in ClinicalTrials.gov as NCT06393114.

Humans↗

PubMed1978

Oscillatory chemical reactions as models for studying bioprocesses.

Explore the source record for details and available documents.

Carboxylic Acids↗

PubMed2026

Gene overexpression reduces inhibitory metabolites to enhance CHO cell growth and IgG1 production.

Controlling the generation of toxic by-products in mammalian bioprocess to maximize therapeutic protein production and glycosylation patterns is a challenge. Intracellular metabolism is often not well-regulated and known to secrete toxic intermediate by-products which hampers cellular performance and negatively impacts critical quality attributes (CQA) of cells. Previous studies have identified trigonelline (TRI), n-acetyl putrescine (NAP), aconitic acid (AA), and cytidine monophosphate (CMP) generated through CHO cell metabolism and verified their negative impacts on growth and antibody production. In this approach, a genetic engineering strategy was developed to control downstream accumulation of inhibitory metabolites. The study successfully identified four different metabolic genes in CHO cells, including Cat (nicotinate and nicotinamide metabolism) to control the generation of TRI, Got1 and Hoga1 (proline metabolism) to control the generation of NAP, Got1 (TCA cycle) to control the generation of AA, and Slc35a1 (n-glycan biosynthesis) to control the generation of CMP. Each target gene-of-interest (GOI) was cloned from CHO genomic library, inserted into linearized vector plasmid, and subsequently transfected into cells. CQA of the bioprocess realized 22-30% increase in peak cell density, 16-22% increase overall IVCD, with an improving growth rate during cellular expansion phase when comparing engineered cells against control cells. The study also conducted a follow-up quadruple transfection study where all four GOIs were co-transfected into cells at ¼ of the total DNA concentration per GOI. An increase in cellular performance was also realized, as increases in peak VCD (17% increase), cumulative IVCD (17% increase), and growth rate were achieved. Both studies also found higher IgG1 antibody synthesis when cell metabolism was better regulated, as the studies measured 4% to 40% titer increase across all engineered cells when compared against control cells. The study also measured higher levels of G1F and G2F glycans with decreased level of G0F across all transfected cells, further indicating improvement in bioprocess, as cells were able to produce a higher fraction of semi-complex and complex versus simple glycoforms. Further investigation revealed that Cat and Slc35a1 exhibited comparable expression levels in the MG condition to their single-gene conditions (within 1% and 10% difference, respectively), corresponding to modest titer improvements closest to the control. These findings suggest that when all four genes are co-expressed, Cat and Got1 may act as rate-limiting factors influencing both cellular phenotypes and titer production. In both studies, the concentrations of downstream metabolic inhibitors were measured to be significantly decreased when comparing engineered cells against control cells, further demonstrating that overexpression of genes to re-allocate metabolic fluxes away from synthesizing toxic by-products can significantly improve cellular growth and protein synthesis.

Animals↗

PubMed2026

Improving recombinant protein productivity in CHO cells via multi-omics data integration.

Chinese hamster ovary (CHO) cells represent the dominant host system for the production of recombinant therapeutic proteins. In recent decades, extensive research has focused on process/media optimization and cell line engineering to improve both the productivity and quality of biopharmaceutical proteins produced in CHO cells. Nevertheless, the inherent complexity of biological pathways and the heterogeneous cellular responses to different environmental conditions have posed substantial challenges to traditional methodologies. Recent advances in omics technologies have enabled comprehensive characterization of CHO cell physiology, providing multidimensional molecular and phenotypic insights that facilitate the enhancement of recombinant protein production. This review first summarizes the methodologies and advances in CHO omics research, including genomics, transcriptomics, proteomics, metabolomics, and epigenomics. It then examines contemporary approaches to integrate and analyze multi-omics data in CHO cells. The review further elucidates how these multi-omics datasets can be strategically applied across various developmental stages, including cell line selection, genetic engineering, expression vector design, and bioprocess optimization. Finally, we explore the transformative potential of integrating multi-omics with artificial intelligence and discuss promising future research directions in CHO cell studies. These emerging paradigms offer novel opportunities for data-driven cell engineering and bioprocess optimization in CHO-based biomanufacturing.

Bioprocessing↗

PubMed2026

Enhanced Production of Recombinant Thermophilic Xylanase X11P in Ogataea polymorpha via In-Silico Signal Peptide Discovery and Fed-Batch Fermentation.

Efficient secretion of heterologous proteins is essential for advancing yeast-based bioprocesses, yet signal peptide (SP) optimization in the thermotolerant methylotrophic yeast Ogataea polymorpha remains limited. This study integrates in-silico SP discovery, experimental validation, and bioprocess engineering to enhance secretion of the thermophilic xylanase X11P under sucrose-inducible expression. Genome-wide screening of 5184 O. polymorpha proteins using SignalP, Phobius, DeepLoc, WoLF PSORT, and ProP identified 11 high-confidence SP candidates. Comparative analysis with Komagataella phaffii endogenous proteins guided selection of seven SPs for experimental evaluation. Among these, the novel O. polymorpha α-mating factor-like peptide FUN_005010 exhibited strong secretion-promoting activity, with its prepro-sequence yielding the highest extracellular xylanase levels and outperforming the classical Saccharomyces cerevisiae α-MF. To evaluate industrial applicability, sucrose-based fermentation strategies were systematically optimized in a 5-L bioreactor. Controlled sucrose feeding and balanced C/N ratios were found to be critical for maximizing maltase (MAL) promoter-driven expression. A stepwise increasing sucrose feed combined with induction at 30°C enabled X11P titers up to 770 U/mL, representing a 15-fold improvement over shake-flask cultures. This work demonstrates that the combination of SP evaluation and optimized sucrose-inducible fed-batch operation significantly enhances X11P production in O. polymorpha. The identified FUN_005010-prepro SP and the refined process framework provide valuable tools for developing O. polymorpha as a high-performance industrial expression platform.

Fermentation↗

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↗

PubMed1976

Use of a tapered fluidized bed as a continuous bioreactor.

Reactor systems based on tapered fluidized beds are being developed for aqueous bioprocesses in which adhering microorganisms or immobilized active biological fractions are used. The use of a fluidized bed prevents biomass buildup, accommodates particulates in the feed stream, is compatible with gas sparging, and allows easy removal or addition of the active materials. The tapered reactor tends to stabilize the fluidized bed, thus allowing a much wider range of operating conditions. Preliminary experimental results and an empirical mathematical model of the tapered bed indicate that bed stability is associated with a decreasing velocity and void-fraction profile up the bed and the pressure drop across the bed decreases with increasing flow rates. The tapered fluidized bed bioreactor is being evaluated for use in the enzymatic production of hydrogen, microbiological denitrification, and microbiological degradation of coal conversion aqueous waste streams. The enzyme catalyzed conversion of lactose to glucose and galactose was used in the evaluation of the reactor concept.

Biochemistry↗

PubMed2026

In silico analysis of metal resistance genes in Pseudomonas extremaustralis 2E-UNGS: Genomic insights and safety assessment for wastewater biotreatment.

Pseudomonas extremaustralis 2E-UNGS is a non-pathogenic strain isolated from the polluted Reconquista River basin (Buenos Aires Metropolitan Area, Argentina), with a 20-year history of study focused on its survival strategies that have enabled its application in various processes such as waste biotreatment and biosensing. Regarding bacterial-metal interactions, P. extremaustralis 2E-UNGS is capable of biosorbing Cd(II), Zn(II), and Cu(II), and biotransforming Cr(VI) to Cr(III), facilitating both the removal of these metals from aqueous systems and their use in biosensor development. The complete circular chromosome (6,372,594 bp) has been annotated in the NCBI GenBank under accession number NZ_CP091043.1. The aim of this work was to perform an in-depth exploration of the P. extremaustralis 2E-UNGS genome to support the optimization of sustainable bioprocesses within the One Health framework. To this end, the integration of experimental evidence with a detailed in silico analysis of key genes involved in metal-microorganism interactions, antibiotic resistance, and their interconnections provides valuable insights for the optimization of future biotechnological applications. Considering its antibiotic resistance profile, together with the activation of efflux pumps induced by metal stimuli-particularly observed under Zn(II) exposure-P. extremaustralis 2E-UNGS can be regarded as suitable for the design of confined bioreactor processes, minimizing the risk of potential accidental environmental releases. Therefore, modulation of gene expression emerges as a promising approach to enhance the efficiency of metal-loaded wastewater biotreatments.

Pseudomonas↗

PubMed2026

Integration of domestic wastewater and native Tetradesmus obliquus for bioremediation and production of biomass rich in protein and polyunsaturated fatty acids.

The large-scale deployment of microalgae-based bioprocesses is often limited by high freshwater and nutrient demands. Domestic wastewater represents a sustainable alternative, enabling simultaneous pollutant removal and biomass production. In this study, a native strain of Tetradesmus obliquus, isolated in southern Brazil, was cultivated in raw domestic wastewater (RDW) and primary-treated domestic wastewater (TDW) at three initial inoculum densities (10%, 20%, and 30% v/v) for 14 days. Tetradesmus obliquus in TDW inoculated at 10% (v/v) removed 62.46% of ammonium and 98.56% of phosphate, simultaneously exhibiting the highest specific growth rate (0.16 d⁻1) and the highest biomass productivity (42.54 mg L⁻1 d⁻1). Iron and manganese concentrations decreased significantly with a native strain in TDW, indicating effective removal of them under the evaluated conditions. RDW was associated with higher carbohydrate accumulation (32.68%) and pigment production, whereas TDW was associated with higher protein content (45.83%) and a lipid fraction with a high relative proportion of polyunsaturated fatty acids (72.70-78.90%), primarily represented by α-linolenic and linoleic acids. The combined assessment of wastewater condition and initial inoculum density revealed distinct effects on the cultivation system. These aspects influence the biochemical composition of biomass, initial inoculum density, nutrient removal, specific growth rate, and biomass productivity. Thus, the present study supports the potential to integrate domestic wastewater treatment with the cultivation of a native Tetradesmus obliquus strain and indicates that, under the evaluated conditions, both the wastewater treatment conditions and the initial inoculum density influenced bioremediation performance and the biochemical composition of biomass.

Biochemical composition↗

PubMed2026

Identification of genetic determinants that promote biofilm growth under heterotrophic conditions in Cupriavidus necator using transposon enrichment.

Cupriavidus necator is a metabolically versatile β-proteobacterium of growing interest for auto- and heterotrophic bioprocesses, yet the genetic determinants governing its biofilm formation remain largely uncharacterized, particularly under process-relevant heterotrophic conditions. Here, we applied a forward-genetics transposon-enrichment approach to identify loci which promote surface-associated growth. A high-density mini-Tn5 mutant library (26,185 insertion clones, exceeding the >17,000 required for genome-wide coverage) was cultivated as a biofilm in a microfluidic flow-cell system on fructose for 168 h, and the surface-associated community was characterized by deep sequencing. Twelve genes showed significantly elevated insertion frequencies, several with documented links to biofilm formation in other bacteria, including the ferrous-iron uptake system (feoA/feoB), galU, and a GSDEF/EAL dual-domain protein. The gene B2043 (E6A55_RS29530), encoding this c-di-GMP-metabolizing protein, was selected for validation by markerless deletion. Under static conditions, the ΔB2043 mutant showed a 1.69 ± 0.06-fold increase in biofilm-associated biomass (p = 5.16 × 10-15). Under flow-through conditions, the mutant attached faster, entered exponential growth ∼10 h earlier, reached its biovolume plateau ∼16 h earlier than the wild-type, and formed distinct tower-like structures. These results identify B2043 as a negative regulator of biofilm formation acting predominantly during attachment, provide the first experimental evidence for c-di-GMP-dependent biofilm regulation in C. necator H16, and establish a functional-genomics framework - together with eleven further candidate loci - for engineering productive biofilms in this organism.

Biofilm formation↗

PubMed2026

Compost microbiomes as reservoirs of cellulolytic microorganisms for cellulosic textile degradation.

Cellulosic textiles, constituting over 30% of global fibre production, are biodegradable but remain challenging to recycle at scale owing to their high crystallinity, chemical finishes, and heterogeneous waste streams. Although microorganisms drive cellulose turnover in natural ecosystems, their potential for transforming anthropogenic cellulosic waste remains largely unexplored. In this study, composting was evaluated both as a sustainable approach to textile biodegradation and a reservoir of cellulolytic microorganisms with biotechnological potential. Biodegradation assays of cotton and lyocell were integrated with shotgun metagenomics and targeted cultivation to identify microbial taxa and enzymes involved in cellulose degradation. Composting trials showed that degradation was strongly influenced by both composting system and fibre composition. Community composting achieved near-complete textile disintegration, while shredded textiles exhibited the highest degradation rates, reaching up to 97%. Shotgun metagenomic revealed a bacterial-dominated community enriched in Actinomycetota and Bacillota and characterised by an abundance of glycoside hydrolases. Culture-based screening recovered 62 microbial isolates, of which Neurospora and Aspergillus exhibited the highest cellulolytic activity (>60%). In vitro assays further showed that cotton was more readily degraded than lyocell, with several isolates achieving >70% mass loss. Metagenomic approach revealed a predominantly bacterial composting community at the sampled stage, whereas cultivation preferentially recovered fungi that, despite their low relative abundance in situ, exhibited strong cellulolytic potential. These findings highlight the potential of composting as a sustainable end-of-life strategy for cellulosic textiles and identify compost microbiomes as valuable reservoirs of cellulolytic microorganisms for the development of sustainable bioprocesses for textile waste treatment.

Cellulose↗

PubMed2026

Proteomic analysis of ammonia-induced stress in Chinese hamster ovary (CHO) cell cultures.

Ammonia (NH₃) and its ionic form ammonium (NH₄+) are both metabolic waste products and essential nitrogen sources within Chinese hamster ovary (CHO) cell cultures. Although necessary for amino acid synthesis, excessive accumulation in the extracellular environment can exert stress, reducing cell proliferation and impairing the efficiency of recombinant protein production. Proper endoplasmic reticulum (ER) function is critical for CHO cells as biotherapeutic producers. Previous work has linked elevated ammonia concentrations to reduced productivity via altered N-glycosylation pathways, but its broader effects on ER biology remain unclear. In this study, we applied high-resolution mass spectrometry to perform a comprehensive analysis of changes in the ER proteome in CHO cells exposed to two ammonia concentrations, 10 mM and 30 mM, 48 and 120 h after supplementation. Both conditions suppressed cell growth and reduced product titre; however, the 10 mM supplementation resulted in a minor increase in specific cell productivity. Gene Ontology analysis revealed that ammonia strongly affected the tricarboxylic acid cycle, as well as key metabolic, catabolic and biogenetic processes. Several ER membrane proteins, including HMGCR and PREB, were consistently downregulated. In extended cultures, transmembrane proteins linked to Golgi-transport were upregulated, while vesicle transport associated proteins were downregulated, indicating altered intracellular trafficking. SIGNIFICANCE: This study provides a novel perspective on CHO cell biology under environmental stress by investigating the impact of ammonia accumulation in culture. Despite its presence in CHO culture, ammonia has been relatively under-investigated, compared to other culture conditions. Using high-throughput mass spectrometry for comprehensive proteomic profiling, we characterise the cellular response to ammonia build-up with a level of depth not previously applied to the study of this biological stressor. By specifically analysing proteins localised to the ER, we identify candidate pathways and molecular mechanisms that contribute to reduced CHO cell growth and productivity, offering insights directly relevant to industrial bioprocessing conditions. The link between ammonia concentration and a decrease in productivity has previously been linked to genes involved in N-glycosylation of the recombinant biotherapeutic, but the full extent of ammonia stress on ER function has not yet been investigated. These methods were applied to two IgG producing CHO cell lines to allow for comparison of cell line specific stress adaptations, as well as comparing the short- and long-term effects of excess ammonia.

Proteomics↗

PubMed2026

GENKI: A generative framework for scalable and robust metabolic kinetic modeling.

GENKI (Generative ENsemble KPI-Informed) is a variational autoencoder-based framework for large-scale kinetic modeling of metabolism. Developed for metabolic engineering applications, GENKI is designed to improve the recovery of kinetically feasible models that reproduce experimentally observed phenotypes under genetic and environmental perturbations. The framework is trained on feasible kinetic model ensembles and uses phenotype-based key performance indicators (KPIs), derived from multi-omics and bioprocess data, to label and enrich models according to their agreement with mutant and condition-specific observations. This enables targeted generation of biologically relevant parameter sets with improved predictive performance. Crucially, GENKI recovers kinetic parameter sets that jointly reproduce wild-type and multiple perturbed physiologies within a single model. We apply GENKI to large-scale kinetic models of Escherichia coli and Saccharomyces cerevisiae under enzyme perturbations and oxygen shifts. In both systems, GENKI enriches kinetic ensembles with models that more accurately reproduce experimentally observed physiologies across multiple perturbations and conditions. GENKI therefore provides a practical framework for perturbation-aware kinetic model refinement within iterative Design-Build-Test-Learn workflows.

DBTL↗

PubMed2026

Recent advances for the pharmaceutical production of highly attenuated poxviruses as viral vector platforms.

INTRODUCTION: Highly attenuated poxviruses serve as potent viral vectors, oncolytic agents, and therapeutic vaccines. They can accommodate and stably maintain a large genomic payload of foreign inserts. Their limited replication in human cells provides an excellent safety profile, but it concomitantly necessitates higher doses of infectious particles for full therapeutic efficacy. AREAS COVERED: We review recent advances in bioprocesses for the pharmaceutical production of poxvirus-based vectors, focusing mainly on the vaccinia virus and the Orf virus. These include upstream processing using highly permissive cell substrates, optimized feeding strategies, and a virus phenotype that facilitates downstream processing. The study explores ongoing challenges and identifies strategies to adapt the downstream process to intensified upstream processes in order to achieve an economic end-to-end production. EXPERT OPINION: For notably increased virus yields of up to 2 log after amplification, we propose to replace classic adsorption chromatography by a collective and continuous purification platform for separating the virus from process-related impurities. Filtration operations facilitate process scalability while reducing volumes, which is beneficial for a flow-through polishing to meet pharmaceutical quality attributes. Combined with artificial intelligence modeling, these advancements alleviate financial pressures on healthcare systems and accelerate the production of novel vaccine candidates for clinical use.

Humans↗

PubMed2025

Comparison of stress tolerance mechanisms between Saccharomyces cerevisiae and the multistress-tolerant Pichia kudriavzevii.

Yeasts play a vital role in both research and industrial biomanufacturing. Saccharomyces cerevisiae has been extensively utilized as a model system. However, its application is often constrained by limited tolerance to the diverse stress conditions encountered in bioprocesses. These challenges have driven increasing interest in nonconventional, multistress-tolerant yeasts as alternative biomanufacturing hosts. This review highlights Pichia kudriavzevii as a promising nonconventional yeast for industrial applications. Unlike S. cerevisiae, P. kudriavzevii exhibits exceptional tolerance to high temperatures, elevated concentrations of furanic and phenolic inhibitors, osmotic stress, salinity, and extreme pH. These traits make it an attractive candidate for industrial processes without requiring extensive genetic modifications to enhance stress resistance. As a result, P. kudriavzevii has emerged as a flagship species for advancing bioeconomy. Despite its industrial potential, the molecular mechanisms underlying P. kudriavzevii's superior stress tolerance remain poorly understood. This review compiles current knowledge on P. kudriavzevii and compares its stress tolerance mechanisms with those of S. cerevisiae, providing insights into its innate resilience. By expanding our understanding of nonconventional yeasts, this review aims to facilitate their broader adoption as robust microbial platforms for industrial biomanufacturing.

Saccharomyces cerevisiae↗

PubMed2026

Upcycling Vegetable Waste Into Functional Food Ingredients via Synergistic Microbial Engineering and Artificial Intelligence.

The escalating generation of global vegetable waste represents a critical loss of bioactive resources, necessitating a paradigm shift from passive disposal to active nutrient upcycling. However, the industrial conversion of this heterogeneous biomass into standardized functional food ingredients is currently impeded by significant techno-economic barriers, primarily structural recalcitrance, compositional inconsistency, and the presence of toxic fermentation inhibitors. This review provides a comprehensive analysis of the synergistic application of microbial engineering and artificial intelligence (AI) to resolve these bioprocessing bottlenecks within a food-to-food closed-loop framework (as shown in the graphical abstract). We evaluate recent advances in engineering food-grade microbial chassis (e.g., Saccharomyces cerevisiae and Escherichia coli) to enhance lignocellulose degradation and stress tolerance. Concurrently, we examine the integration of AI across the entire value chain, covering deep learning-based rational enzyme design, genome-scale metabolic modeling, and intelligent process control for precision fermentation. Current evidence demonstrates that the hardware-software coupling of engineered strains and AI algorithms significantly enhances conversion efficiency and process robustness. Key findings highlight that AI-driven Design-Build-Test-Learn cycles facilitate the de novo creation of enzymes with superior kinetics and strains with adaptive stress response capabilities against toxins. Moreover, dynamic digital twin models effectively mitigate the impact of substrate variability, ensuring the batch-to-batch consistency required for food applications. We conclude that this data-driven synergistic paradigm is pivotal for establishing a resilient circular bioeconomy, enabling the reliable bioconversion of waste into high-value single-cell proteins, natural flavor additives, and sustainable packaging materials.

Artificial Intelligence↗

PubMed2026

Rewiring Carbon Metabolism in Bacillus methanolicus via Heterologous Phosphoketolase Expression Enhances Biomass Yield From Methanol and Reduces CO2 Loss.

Methylotrophic microbes are attractive alternatives to traditional heterotrophic production platforms, yet their efficiency is constrained by carbon loss through pyruvate decarboxylation and the oxidative branch of the RuMP cycle. The phosphoketolase (PKT) pathway provides a carbon-conserving alternative by cleaving fructose-6-phosphate and/or xylulose-5-phosphate into acetyl-phosphate, which can subsequently be converted to acetyl-coA without pyruvate decarboxylation. The remaining carbon intermediates are recycled through central metabolism to regenerate RuMP cycle intermediates without direct CO2 release. Here, we engineered this strategy in Bacillus methanolicus, a thermophilic methylotroph with strong industrial potential. We first established a versatile expression toolkit comprising inducible and constitutive promoters, benchmarked using an sfGFP reporter. Leveraging this system, we heterologously expressed the phosphoketolase B (pktB) gene from Methylotuvimicrobium buryatense 5GB1C which increased methanol-to-biomass yields by 18%-24% relative to controls and reduced biogenic CO2 production by 9%-12%. Chromosomal integration of pktB preserved these gains, demonstrating stability without reliance on plasmid-based expression. Together, these results show that PKT-driven metabolic rewiring enhances substrate yields in B. methanolicus and provides a scalable strategy to improve methylotrophic bioprocesses. This work expands the metabolic engineering toolbox for methylotrophs and highlights carbon-conserving pathway design as a key lever for advancing single carbon (C1) biomanufacturing.

Bacillus↗