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mhryu@live.com
Today, 4:27 PM
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mhryu@live.com
Today, 4:09 PM
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Programmed −1 ribosomal frameshifting (PRF) is a translational control mechanism used by RNA viruses to regulate the relative abundance of proteins encoded in different reading frames. Cardioviruses exhibit the highest known PRF efficiency, with ∼85% of ribosomes shifting into the −1 frame. This unusual event requires an interaction between the viral 2A protein and a stimulatory element in the RNA genome, but the basis for protein dependence is unclear. To address this, here we investigate the structure and dynamics of the PRF signal in Theiler’s murine encephalitis virus (TMEV). By combining X-ray crystallography, small-angle X-ray scattering (SAXS), and single-molecule fluorescence resonance energy transfer (smFRET), we show that 2A binding switches the RNA from a stem-loop conformation into a pseudoknot, and we demonstrate that pseudoknot formation is essential for efficient PRF in vitro and in cells. Together, these findings illustrate how the cardiovirus PRF element behaves as a protein-dependent riboswitch, defining the molecular mechanism by which frameshifting is conditionally activated.
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mhryu@live.com
Today, 1:58 PM
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The application repertoire of industrial biotechnology is constrained by the reaction scope of natural biocatalysis, which covers only a fraction of the accessible chemical space. To expand the versatility of biomanufacturing, abiological organometallic catalysts can be integrated into synthetic biology in the form of artificial metalloenzymes (ArMs). ArMs have been developed for a broad range of new-to-nature reactions, and in recent years multiple examples of their successful implementation in vivo have been demonstrated. Nevertheless, whole-cell ArM catalysis remains at the stage of fundamental research, and hybrid metabolic systems incorporating ArMs have yet to be realized at scale. In this review, we summarize the recent advances in whole-cell ArM catalysis and outline the challenges associated with in vivo ArM incorporation. We highlight the additional complexity that arises when transitioning from simple whole-cell biotransformations to metabolic engineering with ArMs and discuss potential strategies to achieve efficient integration of ArMs into biosynthetic pathways.
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mhryu@live.com
Today, 1:34 PM
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Recent advances in computational methods for designing biological sequences have sparked the development of metrics to evaluate these methods performance in terms of the fidelity of the designed sequences to a target distribution and their attainment of desired properties. However, a software library implementing these metrics was lacking. In this work we introduce seqme, a modular and highly extendable open-source Python library, containing model-agnostic metrics for evaluating computational methods for biological sequence design. seqme considers three groups of metrics: sequence-based, embedding-based, and property-based, and is applicable to a wide range of biological sequences: small molecules, DNA, ncRNA, mRNA, peptides and proteins. The library offers a number of embedding and property models for biological sequences, as well as diagnostics and visualization functions to inspect the results. seqme can be used to evaluate both one-shot generation and iterative optimization. We show the utility of seqme by performing an antimicrobial peptide benchmark and acquiring mRNA data.
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mhryu@live.com
Today, 12:01 PM
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Nucleic acid testing is important for infectious-disease diagnosis, but combining high sensitivity with accessible testing remains challenging. Here we show a chip-based visual detection strategy for one or two viral RNA targets that involves only sample loading, without further instrumentation or manual actuation. Target-activated CRISPR-Cas13a alters the wettability of a molecular barrier, causing liquid to cross a preset threshold and generate a dam-break drainage signal. The chip detects a single target at 10 aM within 2 min and two targets at 100 aM within 5 min, with costs of $0.20 and $0.30 per test, respectively. We further establish a practical clinical-sample workflow combining room-temperature lysis with RNase inhibition and validate the platform across 40 nasal-swab samples tested for SARS-CoV-2, influenza A virus and influenza B virus, with results concordant with RT–PCR. This threshold-based fluidic strategy provides a route towards rapid, low-cost and instrument-free molecular testing outside centralized laboratories. Nucleic acid testing is central to infectious-disease diagnosis, and methods which combine high sensitivity with operational simplicity and ease of interpretation are particularly desirable. Here the authors present their CRISPR-based ‘dam-break drainage’ chip, where a positive result is clearly visualised via the release of test liquid from a sample reservoir.
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mhryu@live.com
Today, 11:47 AM
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Phosphorus (P) availability is closely associated with algal bloom types, yet filamentous attached algae frequently proliferate in clear waters or low-P systems. To examine associations between algal dominance and microbial P-cycling potential, sediment–periphyton assemblages from a low-P artificial water-diversion canal were incubated for 120 days under three water matrices representing oligotrophic, lake-like, and eutrophic conditions. Algal dominance was assessed by microscopy and metagenomic relative abundance profiling, together with sediment P fractions, bacterial communities, and P-cycling genes. Filamentous attached algae remained dominant under low-P treatments, accompanied by depletion of sediment P, especially redox-sensitive BD-P, and higher relative abundances of genes associated with P scavenging and organic P utilization, including aphA and glpQ. In contrast, eutrophic treatments were associated with planktonic algae accounting for more than 70% of the algal community at the bloom stage and with distinct bacterial assemblages and P-cycling gene profiles. Candidate phosphate-solubilizing taxa, including Ideonella, Runella, Sphingopyxis, and Gemmatimonas, were statistically associated with community variation. These results suggest that the level of P in the water, microbial P-cycling potential, and sediment P dynamics may jointly contribute to algal niche differentiation at the water–sediment interface, providing a framework for understanding filamentous algal proliferation in low-P aquatic systems.
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mhryu@live.com
Today, 11:11 AM
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The human gut microbiome is increasingly viewed as an active regulator of host physiology, extending beyond earlier taxonomy-centered descriptions of a complex microbial community. Accumulating evidence supports an organ-like conceptual framework in which the gut microbiome exhibits spatially structured organization, extensive metabolic capacity, and continuous bidirectional communication with host systems. Through the production of bioactive metabolites with endocrine-like, immunomodulatory, and neuromodulatory properties, the microbiome contributes to metabolic, immune, and neuroendocrine regulation, thereby influencing systemic homeostasis and disease susceptibility. Recent advances in multi-omics, spatial biology, and computational modeling are moving the field from taxonomic association toward functional interpretation, mechanistic insight, and causal inference. These approaches are beginning to reveal microbiome-derived functional modules and host–microbe signaling networks that are shaped by host genetics, diet, medications, feeding patterns, circadian rhythms, and environmental exposures. In this review, we synthesize current mechanistic and translational evidence to conceptualize the gut microbiome as an organ-like functional system, delineate its structural and functional organization, and propose a framework for mapping, modeling, and therapeutically targeting microbiome-derived circuits to support precision medicine in metabolic, inflammatory, and selected gut–brain axis-related disorders.
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mhryu@live.com
Today, 11:05 AM
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Bile acids (BAs) are emerging as key signaling metabolites at the interface of diet, the gut microbiota, and host physiology. Microbial transformation generates structurally diverse BA species that regulate host metabolism and immunity via receptor-mediated signaling pathways. Recent advances in synthetic biology enable the modular reconstruction of BA metabolic pathways in tractable microbial hosts, moving the field toward programmable control of BA composition. Integrating engineered chassis with process optimization and emerging technologies such as computational design, biosensors, and encapsulation is accelerating the development of scalable and predictable BA-remodeling platforms. These advances contribute to an emerging paradigm of precision microbiome engineering with broad implications in pharmabiotics, functional foods, and personalized microbiome therapies.
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mhryu@live.com
Today, 10:48 AM
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Marine Synechococcus is among the most widespread and productive autotrophs in the ocean, yet the quantitative role of mixotrophy in different lineages remains poorly constrained. Here, we compared organic nitrogen (urea and leucine) and carbon (glucose) utilization in nutrient-depleted versus nutrient-rich Synechococcus lineages by combining NanoSIMS-based single-cell measurements from field and laboratory incubations with omics analyses. Our findings revealed distinct mixotrophic strategies in different lineages. In nutrient-depleted lineages, elevated urea uptake supplied approximately 40–63% of the estimated total nitrogen demand. This pattern aligned with genomic evidence of enhanced urea transport, particularly the up-regulation of the high-affinity urea transporter DUR3 in low-nitrogen environments. In contrast, nutrient-rich lineages exhibited greater glucose uptake, although the amended organic substrates contributed only 2 to 4% to the estimated cellular carbon demand. These lineage-specific mixotrophic strategies underpinned niche partitioning in marine Synechococcus, refining our understanding of their trophic differentiation and its implications for marine biogeochemical cycling.
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mhryu@live.com
Today, 10:35 AM
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Carbon catabolite repression (CCR) is a widespread regulatory strategy across diverse microorganisms that prioritises the utilization of preferred carbon sources. In industrial bioprocesses, however, CCR-mediated substrate hierarchy can delay the utilization of secondary carbon sources in mixed feedstock, thereby extending fermentation time and limiting carbon conversion efficiency toward target products. Existing reviews have largely addressed CCR in a microorganism-specific manner, potentially obscuring conserved principles, limiting cross-species comparisons, and constraining generalisable engineering; computational modelling and engineering applications also remain underrepresented. This review therefore first summarizes CCR mechanisms across diverse microorganisms through a common systems-level framework, in which transport-linked sensing converts carbon flux into intracellular signals, transcriptional regulators reprogramme genome-wide expression, RNA-based mechanisms fine-tune the timing and magnitude of responses, and protein stability shapes their persistence. Multi-omics approaches, particularly interactomics and single-cell omics, are then highlighted for revealing CCR as a dynamic and multilayered regulatory system by resolving interaction networks, temporal changes, and cell-to-cell heterogeneity beyond bulk measurements. Quantitative computational modelling is also discussed, with emphasis on kinetic and constraint-based frameworks that connect regulatory mechanisms to metabolic flux and predict system behaviour under changing carbon substrates. Engineering strategies, including adaptive laboratory evolution, transcription factor engineering, transporter and promoter engineering, and pathway rewiring, are further compared for the relief of CCR and improvement of substrate co-utilisation and production performance. Finally, these advances are presented within a Design-Build-Test-Learn framework, through which mechanistic discovery and omics-scale analysis are used to inform model development, and modelling and engineering are iteratively coupled to improve microbial performance. We propose that such an integrative paradigm is emerging as a unifying direction for CCR research, and provides a foundation for rational strain design and more efficient, sustainable biomanufacturing.
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mhryu@live.com
August 21, 12:45 AM
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Mycorrhizal fungi play crucial roles in enhancing plant adaptation to heavy metal (HM)stress by interacting with host plants and other root microbiota, yet the molecular mechanisms underlying these interactions remain unclear. To elucidate how ectomycorrhizal fungi (EMF) mediate molecular dialogue between root-associated fungi and host plants under HM stress, we employed root metatranscriptomic analyses on a Pinus-Suillus system across a gradient of soil HM contamination. Our findings revealed that HM contamination significantly reduced both the richness and transcriptional activity of root-associated fungi, shown by the number and expression levels of detected genes. S. hirtellus inoculation effectively restored fungal community composition and enhanced functional potential under HM stress, particularly benefiting EMF taxa (Rhizopogon and Suillus) and dark septate endophytes (Phialocephala and Hyaloscypha). Additionally, S. hirtellus inoculation reconstructed the relationships between root-associated fungi and P. taeda towards more targeted and specialized symbiotic partnerships to primarily reactivate pathways involved in metal exclusion and detoxification, core metabolic activities, and nutrient exchange, ultimately mitigating HM toxicity and promoting plant growth. Collectively, our study provides mechanistic insights into how EMF improve plant fitness by reshaping plant-fungal coordination under HM stress, advancing our understanding of mutualistic strategies that support forest ecosystem sustainability in contaminated environments.
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mhryu@live.com
August 21, 12:34 AM
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Soils are among the most diverse but least understood environments on the planet. Just below our feet, secluded from our sight, we find complex communities of bacteria, fungi, protists and animals. These communities organize themselves in both time and space, from fast to slow growers, from decomposers to predators, from early colonizers to late arrivers. Despite a growing understanding of community dynamics, the lives of organisms within the soil often remain poorly understood: how do organisms grow, propagate, and disperse within their particle-packed environments? In this essay, I reflect on the microbial life cycles found in soils. Starting from a single gram of soil collected on our campus, I explore the conceptual building blocks underlying life cycle biology, how life cycles emerge within their environment and how they are coupled between species. Microbes express widely diverse life cycle motifs with many unique life stages promoting growth and/or propagation. These life stages have a major impact on community ecology; they determine the fate of microbes within soils and affect how, when, and where microbes interact. A life cycle perspective is thus essential for deepening our understanding of the community dynamics that unfold underfoot.
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mhryu@live.com
August 21, 12:09 AM
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The soil microbiome is fundamental to soil health in agroecosystems, regulating primary productivity and nutrient cycling. Growing evidence indicates that it also mediates food quality traits, including sensory attributes, secondary metabolites, and nutritional content. In this review, we synthesize current knowledge on microbiome-mediated links between soil health and food quality and evaluate agricultural management strategies that can improve both simultaneously. We identify key research gaps and priorities needed to establish mechanistic pathways, improve field translation, and advance microbiome-informed approaches for sustainable agri-food systems. Collectively, the evidence supports a conceptual framework in which food quality is viewed as an ecological outcome of microbiome-mediated soil health and functioning. We propose that the soil microbiome acts as a mechanistic bridge linking agricultural management, soil health, and crop performance to food quality. We argue that food quality should be explicitly integrated into existing agri-food framework, focused on productivity, soil health, and greenhouse gas mitigation.
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mhryu@live.com
Today, 4:15 PM
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Transcription underpins the expression of genetic information and is viewed as a series of independent initiation and termination events. In bacteria, promoters and terminators of transcription are therefore considered distinct regulatory elements. Here, we challenge this view. Genome-scale analyses reveal that promoters and terminators are extensively coupled. Thus, initiation and termination sites, for adjacent transcription units, frequently overlap. This conserved organization arises because the DNA sequences, which direct termination, also contribute to promoter function. This couples neighboring transcription units and generates regulatory interference between RNA polymerases. These findings define a universal mechanism for coordinating transcription across bacterial genomes.
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mhryu@live.com
Today, 2:26 PM
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Microorganisms interact through the exchange of metabolites and competition for shared substrates, and this metabolic coupling shapes the composition and function of microbial communities. Community flux balance analysis (cFBA) can predict such behavior - the maximum community growth rate, the metabolic fluxes and the relative abundances of the species - from stoichiometric models of their metabolism, but existing formulations are either complex and hard to scale as communities grow or cannot predict optimal growth rates. Here we present a physiology-based formulation of cFBA in which each species' metabolism is reduced to a few macrochemical equations, one for each 'metabolic mode' the species can use, and the whole community is then solved as a single linear program. From this, the method predicts the optimal composition of the community, its maximum growth rate, the metabolites exchanged between the species, and the net conversion the community carries out as a whole; its ecological service. This reduction makes it far simpler to build and solve models of larger communities. We illustrate the approach on a two-species synergistic community that can be verified by hand, apply it to a five-member anaerobic digestion community, and use it to predict the metabolic interactions of a genome-scale syngas-fermenting coculture. Characterizing these communities at their optimal steady states, we show that each species is driven to a distinct metabolic strategy. We discuss the method both as a practical tool for larger microbial communities and as a means of uncovering the ecological principles that govern them.
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mhryu@live.com
Today, 1:54 PM
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Surface layers (S-layers) are highly ordered, paracrystalline protein lattices that form the outermost envelope of many bacteria and archaea. Although widespread, their functions and structural organization are only recently being elucidated at molecular resolution. This review addresses S-layer structure and function in Gram-positive bacteria, with emphasis on emerging insights into lattice-forming self-assembly and the mechanisms by which S-layers attach to the cell wall. Recent work highlights the role of Gram-positive S-layers as exoskeletons that provide organisation and mechanical stabilization of the cell envelope, and discusses their involvement in host interactions and stress tolerance. Although crystallinity is central for S-layer function, these lattices must also incorporate intrinsic plasticity to accommodate cell curvature and permit cell growth and division. S-layers and associated proteins are increasingly thought to act as active organisers of the cell envelope, and can undergo shedding or remodelling in response to changing environmental conditions.
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mhryu@live.com
Today, 1:27 PM
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The mechanosensitive channel of large conductance (MscL) is a tension-gated, pore-forming protein that acts as a safety valve to protect bacteria from osmotic lysis. E. coli MscL (EcMscL) was the first mechanosensitive channel discovered and subsequently served as a model system for understanding mechanical sensing, becoming one of the most decorated and well-studied systems. Despite extensive biophysical and functional characterisation spanning several decades, the precise mechanism of EcMscL gating has been poorly understood due to the lack of high-resolution structural information. Herein, we solve two EcMscL structures by cryoEM in the closed conformation in DMPC and DOPC lipid nanodiscs. Using PELDOR/DEER spectroscopy, we screen conditions and identify that in DSPC lipids, the EcMscL conformational ensemble shifts away from the closed state and that open-like states are present. We solve the structure in an expanded state by cryoEM, revealing an architecture with pore properties consistent with previous electrophysiology reports. By combining hydrogen-deuterium exchange mass spectrometry and molecular dynamics simulations, we investigate the dynamics of EcMscL gating in lipid bilayers, identifying sites involved in the closed-to-expanded transition. Combined, this enables us to inform on the elusive structural mechanism of EcMscL mechanosensitive channel function. Here, authors solve three cryo-EM structures of EcMscL in two different lipid environments and two distinct conformational states; closed and open-like, guided by EPR. Additional EPR, MD and HDX-MS experiments provide insight into the gating mechanism.
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mhryu@live.com
Today, 11:52 AM
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Denitrification is a modular process that is mediated by an assemblage of microbes with varying denitrification gene combinations. The controls on these gene combinations, known as modularity, are poorly understood and marine observations are mostly limited to permanently anoxic systems. In this global metagenomic analysis representing 69 water column metagenome samples we report different modularity patterns associated with environmental parameters based on the permanence of anoxia. Thermodynamic favorability alone is not enough to explain the distribution of modularity patterns. Instead, variables such as the permanence (or transience) of anoxia, oxygen availability, biogeography and ratios of organic matter to nitrogen supply all help shape the denitrifier community gene assemblage. Environmental correlates in transiently anoxic compared to permanently anoxic systems suggest that the pressures of a more complex environment may favor shorter pathways due to resource allocation trade-off regardless of organic matter availability. Nitrate reduction is the dominant step compared to the rest of the denitrification pathway irrespective of anoxia type. As increases in global temperature result in more seasonally anoxic and hypoxic waters, these results highlight the importance of understanding the controls on denitrification modularity under varying states of anoxia.
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mhryu@live.com
Today, 11:35 AM
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E. coli is a prototroph and can synthesize all twenty proteinogenic amino acids when required to grow in minimal medium. There are approximately sixty protein-coding genes individually essential for amino acid synthesis. This is a large mutational target for the accumulation of detrimental mutations. E. coli can rewire biosynthetic pathways in response to mutational damage, but the limits of this capacity are poorly understood. Here, to address evolutionary robustness, we asked whether and how the phenotypes of irreversible mutations causing auxotrophy could be suppressed or bypassed in the absence of horizontal gene transfer (HGT). Spontaneous suppressors could be selected for only ten of fifty-nine mutants tested (detection limit ∼7x10-11). Mechanisms of suppression included: regional amplifications; mutations increasing gene or operon expression; mutations relaxing enzyme specificity; and mutations causing biochemical pathway diversions. Overall, the data show that spontaneous suppression of auxotrophy caused by an irreversible mutation is an evolutionary survival mechanism relevant only to a minority of the genes essential for amino acid synthesis. As a consequence, the essential genetic foundations for amino acid prototrophy are expected to be degraded over time by mutations (Muller’s ratchet) and metabolic rewiring alone will be insufficient to counteract this effect. This implies that maintaining phenotypes, including prototrophy in E. coli, and potentially other bacterial species, is likely to be reliant on HGT of housekeeping genes to counteract the effects of inevitable mutational inactivation. Accordingly, chromosomal HGT in bacteria may be critical for survival across diverse environmental niches.
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mhryu@live.com
Today, 11:08 AM
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Extremophilic proteins offer immense potential for diverse applications; however, their discovery is hindered by the reliance on predefined templates and domain-specific knowledge. Therefore, new methods are required to mine extremophilic proteins without relying on existing templates, enabling a comprehensive exploration of functional extremophilic proteins across the entire protein universe. Here, we propose a co-evolution–guided protein mining framework, CEM 2.0 (Co-Evolution Mining 2.0), comprising three synergistic components: (1) an extensive and diverse extremophilic proteome database covering six extremophilic features, (2) a multidimensional evaluator for six extremophilic features, leveraging the protein language model ProteinBERT, and (3) an integrated and interactive mining pipeline equipped with advanced tools for computing more than 20 properties of proteins. This framework was implemented on an interactive web platform ( https://cem.sjtu.edu.cn/) equipped with intuitive visualization tools. We conducted wet-lab validation, performed a series of computational validations using published studies, and made recommendations for novel PETases, thereby demonstrating the effectiveness and potential of CEM 2.0 for the template-independent discovery of extremophilic proteins. CEM 2.0 is expected to mine functional extremophilic proteins across the protein universe in terms of evolutionary distance and serve as a valuable tool for protein engineering and synthetic biology.
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mhryu@live.com
Today, 11:03 AM
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Human artificial chromosomes (HACs) are engineered, chromosome-scale DNA molecules that replicate and segregate autonomously in mammalian cells, offering a unique platform for large, stable, nonintegrating genetic delivery. The first generation of HACs emerged prior to synthetic genomics efforts, and their development has aided understanding of chromosome structure and centromere function. In parallel, microbial synthetic genomics demonstrated that entire viral, bacterial, and yeast chromosomes can be designed, synthesized, assembled, and functionally validated, establishing core principles for genome-scale engineering. Recent advances in large DNA assembly, long-read sequencing, and epigenetic centromere specification now position HACs within this broader synthetic genomics framework. We review and integrate lessons from microbial systems with advances in mammalian chromosome biology and discuss how HACs are becoming increasingly precise and customizable platforms. Current efforts promise to expand their potential for gene and cell therapy, functional genomics, humanized models, and the rational construction of synthetic mammalian genomes.
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mhryu@live.com
Today, 10:42 AM
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To overcome the labor-intensive nature of traditional directed evolution, the promoted E. coli-assisted continuous evolution (PEACE) system has been developed. PEACE 1.0 employs a cytidine deaminase‑T7 RNA polymerase (T7 RNAP) fusion for targeted mutagenesis and integrates a toxin–antitoxin selection module for spontaneous, growth‑coupled enrichment of evolved variants. Through dual optimization of mutagenesis and selection, PEACE 2.0 achieves an average mutation frequency of 3.49 × 10−3 per base pair within a 60‑h cycle (compared to 1.54 × 10−3 in 120 h for PEACE 1.0), while shortening the cycle reduces host background mutation accumulation. A dual‑factor (growth‑fluorescence) selection/screening mechanism eliminates a 12%–20% absolute fraction of undesired non‑specific survivors, and coupling with fluorescence‑activated cell FACS sorting enables ultrahigh‑throughput screening exceeding 106 variants per day. PEACE rapidly evolves T7 RNAP to recognize non‑canonical promoters and efficiently reprograms the transcription factor PsiR from a d‑psicose inducer to a d‑fructose/d‑mannose repressor, establishing a novel regulatory mode. These results demonstrate that PEACE is an efficient, versatile, and robust platform for in vivo continuous evolution with broad potential in protein engineering.
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mhryu@live.com
Today, 10:17 AM
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Acetate is an attractive renewable two-carbon substrate for microbial biotechnology, but its toxicity limits growth and carbon-use efficiency at process-relevant concentrations. Here, we used adaptive laboratory evolution to improve acetate tolerance in a genome-reduced strain of Pseudomonas putida and combined whole-genome sequencing, reverse engineering, transcriptomics, proteomics, and 13C-acetate fluxomics to resolve the underlying adaptation mechanisms. Evolution under increasing acetate concentrations selected recurrent mutations in gacA and fabB, which encode a global response regulator and a fatty acid biosynthesis enzyme, respectively. Reverse engineering of these mutations recovered most of the evolved phenotype, including shorter lag phase and substantially higher biomass yield from acetate. Multi-omic analyses showed repression of type VI secretion systems, carbohydrate storage functions, fatty acid metabolism, and oxidative stress-associated proteins, indicating resource reallocation away from costly stress and non-essential programs. Fluxomics further revealed reduced EDEMP cycling and increased glyoxylate shunt flux, consistent with improved acetate-carbon retention in biomass. These results establish acetate tolerance in P. putida as a resource-efficiency phenotype and identify gacA and fabB as actionable targets for acetate-based bioproduction.
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mhryu@live.com
August 21, 12:38 AM
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Aspergillus oryzae (koji mold) is a key microorganism in traditional food fermentations including soy sauce, sake, and miso and is important in novel culinary applications and modern biotechnology, such as sustainable meat alternatives and enzyme production. Despite its industrial importance, until recently, the most recent genome-scale metabolic model (GEM) for A. oryzae dated back to 2008 and was limited to a single strain (RIB40). Here, we present pAo, a pan-GEM for A. oryzae, integrating genomic data from 187 strains to capture species-wide metabolic diversity. Our model comprises 2,025 reactions, representing a 52% increase in metabolic coverage over the RIB40-based model and includes previously overlooked pathways, such as cytochrome P450-mediated xenobiotic metabolism and extended amino acid metabolism. Using this pan-GEM, we derived strain-specific GEMs and validated 8 of them through high-throughput phenotypic screening on 285 substrates. Growth experiments on 4 industrially relevant carbon sources revealed substantial interstrain metabolic diversity, although flux balance analysis indicated that this variability originates at the regulatory rather than network-structural level. This resource provides a foundation for informed strain selection for biotechnological applications and future metabolic engineering in A. oryzae.
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mhryu@live.com
August 21, 12:12 AM
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Antimicrobial resistance is a major threat to human health. Phage therapy is a promising alternative to antibiotics, yet routine diagnostic tools capable of rapidly determining phage susceptibility are lacking. Our goal was to develop a diagnostic tool providing easy-to-interpret in vitro phage activity results within a clinically relevant time frame. We developed a prototype based on bioluminescence emitted by adenosine triphosphate (ATP) release during phage-mediated bacterial lysis. Ten phages were tested against 20 clinical isolates of four species: Pseudomonas aeruginosa, Staphylococcus aureus, E. coli, and Klebsiella pneumoniae. Overall concordance with double agar overlay (DAO) was fair (72%). The prototype showed high sensitivity (94.5%) at detecting weak killers and high specificity (87%) at identifying strong killer phages. Most discordances involved DAO weak killers classified as active by the prototype. Most of these discordant phage-bacteria couples produced a spot in the spot test, suggesting the assay may detect but not distinguish killing without replication from killing with replication. The method showed high repeatability and reproducibility. A few aberrant species specificity results highlighted the need for routine controls. Results from prospective urine samples were obtained within an average of 5 h.
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