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A Reduced-Acidification Phenotype Simplifies Strain Engineering in Komagataeibacter and Enables One-Step Production of Melanated Bacterial Cellulose.

Komagataeibacter species are among the highest-yielding bacterial cellulose producers and offer a promising platform for the genetic engineering of functionalized bacterial cellulose. However, routine strain engineering remains limited by inefficient screening of genomic integrants and acidic culture conditions that inhibit acid-sensitive cellulose modifications. Here, we exploited the reduced-acidification phenotype of a Komagataeibacter sucrofermentans glucose dehydrogenase deletion mutant (Δgdh) to overcome both limitations. We developed a simple phenotypic screen based on reduced acidification to identify candidate colonies for subsequent molecular confirmation. We further exploited this phenotype by constructing a Δgdh::tyr1 strain that, after optimizing culture conditions, produced melanated bacterial cellulose in a single step, without the manual pH neutralization required by previous methods. Together, these results establish reduced acidification as a practical engineering phenotype that simplifies strain engineering and enables acid-sensitive modification of bacterial cellulose, thereby expanding the range of bacterial cellulose modifications achievable in Komagataeibacter.

Komagataeibacter sucrofermentans

A fluorescent reporter system for tracking Lactobacillus casei T1 in the murine gastrointestinal tract.

BACKGROUND: Fluorescent reporter systems are useful for studying probiotic colonization and host-microbe interactions. However, their use in lactic acid bacteria is still limited by relatively weak fluorescence signals, insufficient expression stability, and limited resolution during in vivo imaging. In particular, efficient strain-specific tracking systems remain scarce. METHODS: Here, we developed a red fluorescent reporter system for Lactobacillus casei T1 (L.c T1). Lactate dehydrogenase (LDH) promoters identified from the L.c T1 genome were compared with the constitutive P32 promoter to drive expression of the red fluorescent proteins mCherry and mKate. The different promoter-reporter combinations were evaluated in both Escherichia coli DH5α and L.c T1. Fluorescence expression was further examined under different environmental pH conditions. The optimized reporter strains were then evaluated by whole-body fluorescence imaging in living mice and ex vivo imaging of gastrointestinal tissues following oral administration. RESULTS: Among the constructs tested, P32-mKate produced the strongest and most stable fluorescence signal in L.c T1. Fluorescence intensity was influenced by environmental pH, with higher signals observed under mildly alkaline conditions. Whole-body fluorescence imaging showed that the engineered strain could be detected in living mice following oral administration. Ex vivo imaging of gastrointestinal tissues provided clearer localization of fluorescence, with signals mainly detected in the stomach and upper small intestine. CONCLUSION: We established a stable and efficient red fluorescent reporter system for L.c T1. The P32-mKate system enables detection of the engineered strain both in vitro and in vivo and provides a practical approach for tracking probiotic distribution and studying host-microbe interactions in preclinical animal models.

Lactobacillus casei T1

An efficient endogenous type I-E CRISPR-Cas genome-editing platform for producing transglutaminase in Streptomyces mobaraensis.

Streptomyces mobaraensis is an industrially important actinomycete capable of producing transglutaminase (TGase), a valuable crosslinking enzyme that is widely used in the food, pharmaceutical, and textile industries. However, its genetic manipulation remains challenging owing to the lack of efficient genome-editing tools. Here, we characterized an endogenous type I-E CRISPR-Cas system in S. mobaraensis IPIO2 through bioinformatics analysis and plasmid interference assays, identifying the protospacer adjacent motif as 5'-AAC-3'. We engineered an artificial editing plasmid, pCRISPR, by inserting a mini-CRISPR array (repeat-spacer-repeat) and homologous recombination repair templates into the replicative plasmid pJTU1278. This system exhibited high editing efficiencies, achieving 70% for single-gene deletions and 75-80% for large DNA fragment deletions ranging from 10 to 40 kb. Based on this system, deletion of four genes consistently downregulated during TGase production, identified through comparative proteomics, enhanced TGase production by 8.5-18.5%. Furthermore, deleting the pseudouridimycin and piericidin A1 biosynthetic gene clusters using this system significantly improved the safety profile of TGase production, resulting in a 17% increase in TGase yield. This study established a robust and efficient endogenous CRISPR-Cas-based genome-editing platform in S. mobaraensis, providing a powerful tool for strain engineering and industrial optimization of TGase production.

Comparative proteomics

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

Chemotactic sensing of extracellular antibiotic resistance genes enables their efficient removal by Stutzerimonas stutzeri.

The dissemination of antibiotic resistance genes (ARGs) in wastewater environments poses a severe threat to public health. Extracellular ARGs (eARGs) persist as free DNA fragments that are refractory to efficient removal by conventional physicochemical treatment technologies. Here, we isolated Stutzerimonas stutzeri CHY07 from municipal sewage and demonstrated that extracellular DNA fragments, including eARGs, can serve as chemoattractants for environmental bacteria. Through genomic mining, molecular docking, surface plasmon resonance (SPR), isothermal titration calorimetry (ITC) and protein-ligand interaction profiling, we identified the chemoreceptor Mcp16 as the primary sensor of extracellular DNA and revealed that it achieves sequence-independent recognition of the DNA phosphate backbone. We further established the endogenous pentapeptide VRSVR as a methylation substrate for CheR and constructed the engineered strain CHY07-2 (mcp16::VRSVR) using an SSB/CRISPR-Cas9 ribonucleoprotein (RNP) system. This strain exhibited significantly enhanced chemotactic responsiveness, achieving 72-h removal efficiencies of 96.56% and 91.60% for low- and high-molecular-weight eARGs in non-sterile WWTP secondary effluent; conversely, mcp16 deletion markedly attenuated both chemotaxis and removal, whereas in situ complementation restored them. These findings reveal a "chemotaxis-contact-removal" cascade - with a proposed self-reinforcing loop - in eARG-removing bacteria, providing both a theoretical framework and a technical paradigm for enhancing pollutant removal through targeted amplification of microbial chemotaxis.

Chemotaxis

A CRISPR-Cas9 Toolkit Enabling Tunable Integration and Transient Homologous Recombination Enhancement in Yarrowia lipolytica.

Although the oleaginous yeast Yarrowia lipolytica is a promising microbial cell factory, its application remains constrained by inefficient homology-directed repair (HDR) and a lack of precise genomic integration tools. To address these limitations, we developed a comprehensive genetic toolkit featuring three synergistic advancements. First, we systematically identified 55 neutral integration sites with tunable expression profiles, enabling stable, position-independent gene integration with predictable transcriptional output across a 12.88-fold dynamic range. Second, we established a dual-readout high-throughput screening platform combining colony morphology analysis with hrGFP fluorescence. This approach accurately measures locus-specific homologous recombination (HR) efficiency while eliminating false positives by dominant non-homologous end joining (NHEJ). Third, we engineered a transient HR enhancement system by fusing the Sae2 exonuclease to Cas9 via a flexible (GGGGS)3 linker. This fusion significantly boosts HR efficiency and surpasses the cleavage activity of unmodified Cas9 without introducing permanent genomic modifications or compromising cellular fitness. Finally, HR efficiency for single-gene integration was increased from 46.5% to 77.5% while the dual-locus editing efficiency reached 64.1% when using 500-bp homology arms, and the engineered strains demonstrated improved genetic stability compared to those with constitutive HR enhancement.

Yarrowia

A novel regulation on the developmental checkpoint protein Sda that controls sporulation and biofilm formation in Bacillus subtilis.

UNLABELLED: Biofilm formation by Bacillus subtilis is triggered by an unusually simple environmental sensing mechanism. Certain serine codons, the four TCN codons (N for A, T, C, or G), in the gene for the biofilm repressor SinR caused lowered SinR translation and subsequent biofilm induction during transition from exponential to stationary growth. Global ribosome profiling showed that ribosomes pause when translating the four UCN (U for T on the mRNA) serine codons on mRNA, but not the two AGC/AGU serine codons. We proposed a serine codon hierarchy (AGC/AGT vs TCN) in that genes enriched in the TCN serine codons may experience reduced translation efficiency when serine is limited. In this study, we designed an algorithm to score all protein-coding genes in B. subtilis NCIB3610 based on the serine codon hierarchy. We generated a short list of 50 genes that could be subject to regulation by this novel mechanism. We further investigated one such gene from the list, sda, which encodes a developmental checkpoint protein regulating both sporulation and biofilm formation. We showed that synonymously switching the TCN serine codons to AGC in sda led to delayed biofilm formation and sporulation. This engineered strain also outgrew strains with other synonymously substituted sda alleles (TCN) in competition assays for biofilm formation and sporulation. Finally, we showed that the AGC serine codon substitutions in sda elevated the Sda protein levels. This serine codon hierarchy-based novel signaling mechanism could be exploited by bacteria in adapting to stationary phase and regulating important biological processes. IMPORTANCE: Genome-wide ribosome profiling in Bacillus subtilis shows that under serine limitation, ribosomes pause on the four TCN (N for A, C, G, and T), but not AGC/AGT serine codons, during translation at a global scale. This serine codon hierarchy (AGC/T vs TCN) differentially influences the translation efficiency of genes enriched in certain serine codons. In this study, we designed an algorithm to score all 4,000+ genes in the B. subtilis genome and generated a list of 50 genes that could be subject to this novel serine codon hierarchy-mediated regulation. We further investigated one such gene, sda, encoding a developmental checkpoint protein. We show that sda and cell developments controlled by Sda are also regulated by this novel mechanism.

Bacillus subtilis

The novel transcriptional activator Bhr1 combining NTPase and Zn(II)2Cys6 DNA-binding domains controls (hemi-)cellulase response to mannose-rich substrates in the white-rot fungus Dichomitus squalens.

The regulatory landscape responsible for lignocellulose degradation in white-rot basidiomycete fungi remains largely unexplored. In this study, we characterize a novel transcriptional activator, Bhr1, in the white-rot fungus Dichomitus squalens. Bhr1 exhibits an unusual domain architecture that combines a septin-like P-loop NTPase fold with Zn(II)2Cys6 DNA-binding domains and plays a critical role in activating (hemi-)cellulase enzyme production when D. squalens is exposed to mannose-rich substrates. Using CRISPR/Cas9-mediated gene editing, we generated a bhr1 disruption mutant that displayed distinct phenotypes and enzyme activity profiles on mannose and guar gum compared to the wild type. RNA sequencing data indicate that Bhr1 induces specific (hemi-)cellulase-encoding genes without altering the expression of genes encoding sugar transporters or sugar metabolic enzymes. Phylogenetic analyses show that Bhr1 is basidiomycete specific and largely restricted to saprotrophic and plant-associated Agaricomycetes fungi. Based on the domain architecture of Bhr1 and the effects of its disruption in D. squalens, our findings reveal a lineage-specific regulatory innovation in basidiomycetes that is distinct from those described in ascomycetes. Elucidating the function and evolutionary conservation of Bhr1 advances our understanding of lignocellulose degradation at the molecular level in basidiomycete fungi and may inform studies of their ecological adaptation and the development of biotechnological applications.IMPORTANCEUnderstanding the transcriptional regulatory mechanisms in white-rot fungi, such as Dichomitus squalens, is crucial for advancing our knowledge of lignocellulose degradation. This study identifies D. squalens Bhr1 as a key regulator of (hemi-)cellulase production on mannose-rich substrates and further distinguishes basidiomycete transcription factors involved in plant biomass degradation from their ascomycete counterparts. Our findings highlight the significance of lineage-specific regulators in facilitating adaptive enzyme production for efficient biomass utilization, which is critical to carbon cycling in terrestrial ecosystems. This work establishes a foundation for exploring novel regulatory strategies among wood-degrading fungi, potentially enabling targeted strain engineering in biotechnological applications.

Mannose

Unraveling cadaverine toxicity effect to guide the engineering of robust strain.

End-product inhibition represents a major challenge in the microbial synthesis of various value-added chemicals. Cadaverine, a key monomer for polyamide synthesis, exhibits severe cytotoxicity, limiting its high-titer biosynthesis. Here, transcriptomic analysis and genome-wide library screening were integrated to systematically elucidate the cytotoxic mechanisms of cadaverine in Escherichia coli (E. coli) and identify beneficial genes for enhanced tolerance and overproduction. Transcriptomic analysis revealed that high concentrations of cadaverine disrupted cell membrane integrity and impaired oxidative phosphorylation, leading to redox imbalance and reactive oxygen species (ROS) accumulation. Subsequent genome-wide screening further confirmed these toxicity mechanisms and uncovered crucial cellular defense strategies. Functional validation highlighted the important role of NikR, UbiE, and YcbX in enhancing membrane integrity, restoring respiratory function and ROS homeostasis, or scavenging 6-N-hydroxylaminopurine (6-HAP) to prevent DNA damage. Among these, YcbX emerged as the most effective target for improving production. Consequently, we constructed a robust E. coli strain by implementing a dynamic regulation system for YcbX expression under cadaverine-responsive promoters, which significantly enhanced cadaverine biosynthesis to 87.2 g/L (a 46.8% enhancement). This work provides an in-depth understanding of cadaverine toxicity and tolerance, offering valuable targets and strategies for the rational design of high-performance microbial cell factories for diamines.

6-HAP clearance

Deletion of the Salmonella pathogenicity island 2 gene, spiC, in attenuated Salmonella Typhimurium VNP20009 optimizes its potential for bacterial schwannoma therapy.

UNLABELLED: Recent advances in systems biology and immunotherapy have spurred the investigation of bacteria as therapeutic vehicles for cancer treatment. Currently, Bacillus Calmette-Guérin remains the only FDA-approved bacterial cancer therapy; it is a live attenuated mycobacterium that is indicated for the treatment and prophylaxis of carcinoma in situ of the urinary bladder and for the prophylaxis of primary or recurrent papillary tumors following transurethral resection. Although safety concerns have been raised, attenuated Salmonella Typhimurium strains such as VNP20009 have advanced to clinical trials targeting fast-growing human tumors. Notably, this strain induces robust immunological control of slow-growing tumors such as NF2-related schwannomatosis (NF2-SWN) in preclinical murine models. Here, we genetically characterize VNP20009 with the goal of constructing genetically defined attenuated strains that retain its promising therapeutic features while improving safety. Specifically, we investigated the contribution of the Salmonella pathogenicity island I (SPI-1) and SPI-2 type III secretion systems to antitumor efficacy and biosafety. Mutation of the SPI-1 gene sipB, a key structural component required for SPI-1 type III secretion system function, partially reduced tumor control in NF2-SWN murine schwannoma models, suggesting that bacterial invasion alone does not fully account for antitumor activity. In contrast, deletion of the SPI-2 gene spiC, a key effector required for intracellular survival, preserved robust tumor regression in NF2-SWN murine schwannoma models while improving safety and reducing systemic toxicity. To create a genetically defined and tractable platform, we generated two attenuated strains-AST101 and AST101-ΔspiC-which retain key mutations present in VNP20009 but lack ill-characterized background mutations. In the syngeneic NF2-SWN mouse schwannoma model, both strains significantly suppressed tumor growth compared to PBS. Collectively, these findings support the development of rationally engineered Salmonella Typhimurium strains with enhanced safety and preserved antitumor efficacy. IMPORTANCE: Given long-standing safety concerns surrounding the therapeutic use of live bacteria, we constructed a ΔspiC mutant of VNP20009 and demonstrated that it provides a markedly improved safety profile while retaining antitumor efficacy in NF2-related schwannomatosis mouse schwannoma models. In addition, we created two genetically defined Salmonella Typhimurium strains, AST01 and AST01-ΔspiC, which incorporate the key-targeted mutations found in VNP20009 and VNP20009-ΔspiC, respectively. These engineered strains offer a well-defined genetic background, enabling precise investigation of the bacterial traits responsible for Salmonella Typhimurium-mediated tumor control and thus further improvement of attenuated strains optimized for bacteriotherapy of neoplasms.

Salmonella typhimurium

Exploring genetic adaptation and microbial dynamics in engineered anaerobic ecosystems via strain-level metagenomics.

Genetic heterogeneity exists within all microbial populations, with sympatric cells of the same species often exhibiting single-nucleotide variations that influence phenotypic traits, including metabolic efficiency. However, the evolutionary dynamics of these strain-level differences in response to environmental stress remain poorly understood. Here, we present a first-of-its-kind study tracking the adaptive evolution of an anaerobic, carbon-fixing microbiota under a controlled engineered ecosystem focused on carbon dioxide bioconversion into methane. Leveraging strain-resolved metagenomics with an ad hoc variant calling and phasing approach, we mapped mutation trajectories and observed that the two dominant Methanothermobacter species maintained distinct sweeping haplotypes over time, most likely due to niche-specific metabolic roles. By combining population genetic statistics and peptide reconstruction, mer and mcrB genes emerged as potential drivers of archaeal strain-level competition. These findings pave the way for targeted engineering of microbial communities to enhance bioconversion efficiency, with significant implications for sustainable energy and carbon management in anaerobic systems.

Metagenomics

Strategy for enhanced production of A40926B0 in Nonomuraea gerenzanensis using an efficient CRISPR/AsCas12f1 system.

The global emergence of vancomycin-resistant Gram-positive pathogens underscores the urgent need for efficient production of novel lipoglycopeptide antibiotics. Dalbavancin, a last-resort therapeutic agent, relies on its key biosynthetic precursor A40926B0, whose industrial manufacture is severely limited by the low yield of wild-type Nonomuraea gerenzanensis and inefficient genetic tools for this rare actinomycete. Here, we developed a high-efficiency CRISPR/AsCas12f1 genome editing system and applied systematic metabolic engineering to boost A40926B0 biosynthesis. First, conjugation conditions were optimized to elevate the transfer efficiency in N. gerenzanensis D11. The hypercompact AsCas12f1 nuclease showed markedly lower cytotoxicity than SpCas9 and enabled 100% gene deletion efficiency with preferred PAMs (TTTG, CTTG, GTTG). Second, we strengthened the shikimate pathway via multiple genetic strategies: overexpressing feedback-resistant DAHP synthase (aroG fbr ) and chorismate mutase/prephenate dehydrogenase (tyrA fbr ), as well as knocking out pheA. This manipulation blocks the phenylalanine synthetic branch and redirects metabolic flux toward the l-tyrosine branch. Third, we engineered the branched-chain fatty acid (BCFA) pathway via promoter replacement of bkdA2B2C2, LipAB, fabF and deletion of acdH to enhance isododecanoyl side-chain supply. The combinatorial engineering yielded strain B-13, which produced 1740 mg/L A40926B0 in shake flasks. Finally, 50-L fed-batch fermentation with continuous maltodextrin feeding further increased the titer to 1817 mg/L, the highest reported titer to date. This work establishes a robust CRISPR editing tool for N. gerenzanensis and provides valuable engineering references for precursor-oriented strain improvement targeting lipoglycopeptide antibiotics, offering insights for the industrial scale production of A40926B0.

A40926B0

Recombinant bovine chymosin expression in microalgae Chlamydomonas reinhardtii chloroplast: A step towards algal biomanufacturing of dairy enzymes.

Chymosin is the major proteolytic enzyme for cheese manufacture, where it plays an important role in the co-precipitation of milk casein. Traditional extraction of chymosin from the abomasum of young ruminants is associated with high limitations, including low yield, high production cost, and ethical issues of animal slaughter. In this study, we report on a recombinant strategy towards the production of bioactive Bos taurus chymosin in the chloroplasts of the microalga Chlamydomonas reinhardtii. The cym gene encoding preprocymosin was inserted into the chloroplast genome by the glass bead-mediated DNA transformation procedure. Successful integration and expression of the transgene were confirmed by spot test analysis, polymerase chain reaction (PCR), western blot, and enzyme-linked immunosorbent assay (ELISA). The functional activities of the recombinant enzyme were checked by the standard milk clotting assay. The engineered microalgal strains produced chymosin with an average concentration of 90 mg/kg fresh weight, i.e., 1.6% of the total soluble protein. These results show that chloroplast-engineered C. reinhardtii is a promising, sustainable, and animal-free platform for the efficient production of the industrially relevant chymosin.

Animals

Bacillus thuringiensis pathogenicity islands encode regulatory circuits controlling insecticidal Cry toxin expression during vegetative growth.

Bacillus thuringiensis (Bt) produces insecticidal toxins, including Cry and Vip3 proteins, that are widely used for biological pest control. Cry proteins are classically expressed during sporulation under the control of sporulation-specific σ factors, whereas Vip3 is produced during vegetative growth, suggesting distinct regulatory pathways. Notably, many cry and vip3A genes are clustered within pathogenicity islands (PAIs), such as BtPAI-1. However, whether these PAIs also encode regulatory mechanisms coordinating toxin expression remains unclear. Here, we identify VipR, a BtPAI-1-encoded transcriptional regulator, as an activator of insecticidal gene expression during the vegetative phase in Bt strains HD-1 and CT-43. In these strains, VipR promotes the transcription of BtPAI-1 associated insecticidal genes, including vip3A and selected cry genes, resulting in premature Cry protein accumulation and increased insecticidal activity. In addition, VipR contributes to the vegetative-phase expression of the non-BtPAI-1 cry9Aa genes in strain BGSC 4AE1. Phylogenetic analysis revealed that vipR is widely distributed in one-third of Bt strains, and is strongly associated with PAIs. Futhermore, heterologous expression of vipR in BGSC 4J5 and HD-73 was sufficient to activate vegetative-phase transcription of some cry independently of sporulation-specific σ factor cascade. These results support a role for VipR in coordinating vegetative-phase expression of insecticidal genes in the Bt strains examined and suggest that BtPAI-1 can encode both insecticidal determinants and regulatory functions that influence their expression. These findings provide new insights into the regulatory architecture of Bt pathogenicity islands and may facilitate the engineering of strains with enhanced insecticidal activity.

Bacillus thuringiensis

Transcriptomic shift in ethanol and amino acid metabolic genes regulated by Med15 during alcoholic fermentation.

Organisms that thrive in extreme environments provide natural experiments in evolution, revealing the genetic regulators that orchestrate complex phenotypic change. Wine yeast are specialized strains that are adapted to survive in the wine making environment while producing high concentrations of ethanol. In addition to large genomic changes that differentiate wine yeast from yeast used in other industries, single nucleotide and polyglutamine tract polymorphisms in the transcriptional regulator Med15 are associated with the fermentation efficiency and stress response phenotypes of wine yeast. In this study we investigated the transcriptional differences during wine fermentation in transgenic lab strain yeast having integrated wine yeast MED15 alleles. Compared to the unmodified lab strain (LAB or MED15 LAB ), the same strain in which the MED15 locus was replaced with a MED15 allele from yeast isolated from palm wine, the fermented sap of palm (oil, date, coconut) trees, (WY23, or MED15 WY23 ) exhibited enhanced expression of glycolytic, fermentation, and amino acid biosynthesis genes. Our experimental data confirms the importance of arginine biosynthetic genes during the fermentation process and suggests that the improvement in fermentation efficiency in strains with MED15 alleles from some wine yeast strains may be related to the role of Med15 in expression of the genes of the arginine biosynthetic pathway. The global benefit conferred by polymorphisms in a single transcriptional regulator, makes Med15 a prime target for engineering of strains devoted to various types of alcohol production.

Journal Article

Transcriptomic shift in ethanol and amino acid metabolic genes regulated by Med15 during alcoholic fermentation.

Organisms that thrive in extreme environments provide natural experiments in evolution, revealing the genetic regulators that orchestrate complex phenotypic change. Wine yeast (WY) are specialized strains that are adapted to survive in the wine making environment while producing high concentrations of ethanol. In addition to large genomic changes that differentiate WY from yeast used in other industries, SNP and polyglutamine tract polymorphism in the transcriptional regulator Med15 are associated with the fermentation efficiency and stress response phenotypes of WY. In this study, we investigated the transcriptional differences during wine fermentation in transgenic lab strain yeast having integrated WY MED15 alleles. Compared to the unmodified lab strain (MED15 LAB), the same strain in which the MED15 locus was replaced with a MED15 allele from yeast isolated from palm wine, the fermented sap of palm (oil, date, coconut) trees (MED15 WY23), exhibited enhanced expression of amino acid biosynthesis genes as well as stress resistance and metabolic adaptation genes. Our experimental data confirm the role of arginine in efficient fermentation and suggest that certain MED15 alleles alter the expression patterns of arginine pathway genes in some cases improving carbon flux under nitrogen stress. The global benefits conferred by natural polymorphisms in a single transcriptional regulator highlight Med15 as a target for engineering of strains devoted to various types of alcohol production.

Ethanol

Adaptive laboratory evolution of Saccharomyces cerevisiae CEN.PK 113-7D to enhance ethanol tolerance.

Saccharomyces cerevisiae is a widely used yeast for industrial production of ethanol. However, elevated ethanol, temperature, and osmotic stress adversely affect fermentation efficiency. In this study, adaptive laboratory evolution for S. cerevisiae CEN.PK 113-7D on higher concentrations of ethanol was performed. After 144 days, the maximum specific growth rate (&#xb5;max) increased from 0.0240 to 0.1150 h-1 for the strain evolved on 9% v/v ethanol, and from 0.0002 to 0.0530 h-1 for the strain evolved on 11% v/v ethanol, and the specific glucose uptake rate increased by 30%. The strain evolved on 11% ethanol produced 94.5&#xa0;g/L ethanol in a fermentation as compared to 78.5&#xa0;g/L production by a non-evolved strain. By whole-genome sequencing of the evolved clones, we identified multiple coding mutations in genes involved in processes such as stress response, cell growth regulation, pentose phosphate pathway, lipid synthesis, and redox balance. The selected mutations in RKI1, CYC2, ANR2, RGA2, RGA1, LPX1, and LRE1 genes were validated by introducing them in the nonevolved yeast, showing 1.7-5-fold growth improvement at 9% ethanol (P&#xa0;<&#xa0;0.05). Notably, RGA2, RGA1 and LPX 1 carried an identical missense mutation across three independent clones. The RKI1I208V mutant showed the highest ethanol tolerance, while CYC2N342A achieved the highest ethanol production.

Ethanol

Exact model-free function inference using uniform marginal counts for null population.

MOTIVATION: Recognizing cause-effect relationships is a fundamental inquiry in science. However, current causal inference methods often focus on directionality but not statistical significance. A ramification is chance patterns of uneven marginal distributions achieving a perfect directionality score. RESULTS: To overcome such issues, we design the uniform exact function test with continuity correction (UEFTC) to detect functional dependency between two discrete random variables. The null hypothesis is two variables being statistically independent. Unique from related tests whose null populations use observed marginals, we define the null population by an embedded uniform square. We also present a fast algorithm to accomplish the test. On datasets with ground truth, the UEFTC exhibits accurate directionality, low biases, and robust statistical behavior over alternatives. We found nonmonotonic response by gene TCB2 to beta-estradiol dosage in engineered yeast strains. In the human duodenum with environmental enteric dysfunction, we discovered pathology-dependent anti-co-methylated CpG sites in the vicinity of genes POU2AF1 and LSP1; such activity represents orchestrated methylation and demethylation along the same gene, unreported previously. The UEFTC has much improved effectiveness in exact model-free function inference for data-driven knowledge discovery. AVAILABILITY AND IMPLEMENTATION: An open-source R package "UniExactFunTest" implementing the presented uniform exact function tests is available via CRAN at doi: 10.32614/CRAN.package.UniExactFunTest. Computer code to reproduce figures can be found in supplementary file "UEFTC-main.zip."

Algorithms