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mhryu@live.com
Today, 1:32 PM
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Plasmids are the workhorses of molecular biology: fast, flexible, and often taken for granted. We clone, overexpress, tag, and mutate freely, assuming they will faithfully produce RNA transcripts that match the intended DNA sequence. This assumption is rarely tested and often invalidated. Sequences in plasmid backbones, epitope tags, and codon-optimized regions may inadvertently harbor cryptic promoters or splice sites. The resulting unexpected transcripts and proteins, while often undetected, can distort results and propagate false conclusions through papers, grants, and even clinical trials. In this perspective, we highlight published cases where plasmids have distorted results and misled interpretation. We examine the mechanisms and consequences of plasmid-associated expression artifacts and offer practical strategies to minimize them. Finally, we call for a revision of community standards for experiments using transgenes: deposit complete plasmid sequences and verify the resulting transcripts using RNA-seq.
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mhryu@live.com
Today, 1:23 PM
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Metagenome-assembled genomes (MAGs) provide crucial insights into the genomic diversity of uncultured microbes. However, MAG datasets deposited in public repositories such as INSDC are often difficult to reuse due to heterogeneous quality, inconsistent taxonomic and functional annotations, and insufficiently curated environmental metadata. While secondary MAG databases such as MGnify, IMG/M, and SPIRE provide standardized resources, they reconstruct MAGs de novo from public metagenomic reads and therefore do not represent the original MAGs reported in publications. To address this gap, we developed Microbiome Datahub, an open-access platform that systematically aggregates and re-annotates original MAGs from INSDC. We collected 214,427 MAGs, predicted genes by DFAST, performed quality assessment with CheckM, standardized taxonomic assignments with GTDB-Tk, inferred 27 phenotypic traits using Bac2Feature, assigned proteins to MBGD ortholog clusters and KEGG Orthology IDs using PZLAST, and annotated environmental metadata with the Metagenome and Microbes Environmental Ontology. Across these MAGs, the average completeness was 80.5% and contamination 1.8%; notably, the most frequent values were >95% completeness and <1% contamination, indicating that the majority of MAGs are of high quality. Comparative analyses showed that Microbiome Datahub provides phylogenetically and environmentally diverse MAGs: while the majority originated from vertebrate gut environments, a substantial number were also recovered from other habitats such as groundwater, including nearly 10,000 MAGs from the Patescibacteria. Inference of 27 phenotypic traits, including optimum growth temperature, further revealed ecological differentiation across phyla. Protein clustering revealed 56 million identity 40% clusters, with the majority unique compared with MGnify and GlobDB, and ~19% of proteins unassigned to MBGD ortholog clusters, underscoring their novelty. Microbiome Datahub integrates MAG genome sequences, gene and protein predictions, quality metrics, environmental and taxonomic annotations, ortholog cluster assignments, and phenotype predictions, all accessible via a web interface, API, and bulk downloads. By combining original MAGs with curated metadata and functional annotations, Microbiome Datahub constitutes a comprehensive and reusable resource that will accelerate microbiome and microbial genomics research. Video Abstract
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mhryu@live.com
Today, 1:06 PM
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Microbial resources are crucial for biotechnology development and fundamental scientific research. Traditional microbial techniques fail to isolate and cultivate the vast majority of microorganisms in nature, severely limiting the discovery of novel microbial resources. The rise in artificial intelligence (AI) technologies provides new computational tools to overcome bottlenecks in microbial resource discovery and utilization. This review comprehensively examines the development of AI technologies in microbial isolation and cultivation over the past three decades from the perspective of microbial resource discovery. We propose a five-stage framework: the germination period (1997–2008), the early exploration period (2008–2015), the rapid development period (2015–2019), the deep learning (DL) explosion period (2020–2022), and the AI integration period (2023–present). We focus on how AI technologies at each stage address core challenges in microbiology—including insufficient knowledge reserves, dynamic phenotypic changes, and complex cultivation conditions—through applications at the genome, individual, and community levels. Our analysis demonstrates that, as AI technologies advance iteratively, microbial isolation and cultivation methods are transitioning from experience-driven to data-driven approaches, from single-objective to systematic integration, and from passive screening to active design. This methodological transition is expanding the scope of microbial resource discovery.
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mhryu@live.com
Today, 9:37 AM
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In defending against pathogens, plants deploy diverse secondary metabolites and signaling molecules. Among these, melatonin orchestrates plant growth and development, modulates stress responses, and regulates intracellular redox homeostasis and signaling. However, the mechanisms of melatonin in plant-pathogen interaction are rarely reported. Using Pseudomonas syringae pv. tomato DC3000 (Pst DC3000) as model bacteria, we designed a two-step high-throughput screening strategy to screen the plant natural product library and the bacterial mutant library. This study reveals that melatonin is perceived by a bacterial receptor histidine kinase CpxA, which subsequently modulates bacterial virulence. In detail, bacterial CpxA senses melatonin through Glu48 and Thr51 sites located in the periplasmic sensor region. Thus, melatonin inhibits autophosphorylation of CpxA and decreases transphosphorylation of the response regulator CpxR. The DNA-binding capacity of CpxR to promoters of type III secretion system (T3SS) genes is weakened by reduced phosphorylation cascade of CpxA/R, inhibiting bacterial T3SS genes expression and virulence. We also showed that increasing melatonin synthesis in plants can enhance disease resistance and sustain crop productivity. This study illustrates a previously unknown mechanism by which plants disarm the pathogenicity of bacteria, as well as provide effective molecular targets for crop genetic improvement and biopesticides development.
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mhryu@live.com
Today, 2:00 AM
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Bacteriocins are ribosomally synthesized antimicrobial peptides produced by various classes of bacteria, exhibiting broad-spectrum activity that makes them promising candidates for applications in food preservation and medicine. Their inherent stability under extreme pH, temperature, and salinity conditions further supports their functional versatility. However, the widespread industrial application of bacteriocins remains constrained by the low titres typically achieved during fermentation. Despite extensive efforts to optimize production using batch and fed-batch fermentation strategies, the resulting titres remain inadequate for economically viable large-scale manufacturing. This review aims to provide a comprehensive overview of novel process strategies developed over the past two decades to enhance bacteriocin yields during fermentation. One of the primary challenges is the inhibition of microbial growth due to the accumulation of lactic acid or the bacteriocin itself during production. To address this, in-situ product removal techniques—such as co-cultivation with lactic acid-consuming microorganisms, in-situ adsorption, filtration, and foam fractionation—have been explored, yielding notable improvements in bacteriocin titres. Additionally, stress-induced production strategies involving biological (e.g. co-culture with competing microbes), chemical (e.g. salinity and pH stress), and physical (e.g. agitation, temperature, and aeration stress) stimuli have also demonstrated success in enhancing bacteriocin synthesis. This review underscores the importance of these innovative fermentation approaches and highlights the need for further research focused on scaling up such processes. Advancing these strategies is critical to realizing the full potential of bacteriocins in food safety, antimicrobial therapy, and broader biomedical applications.
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mhryu@live.com
Today, 1:52 AM
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Chemical defenses are fundamental in organismal biology and widely used in medicine and agriculture. Plant defense chemistry evolves in response to various selective pressures, particularly herbivory, and theory has emphasized predicting toxin abundance and diversity. Here we test hypotheses about the evolution of structural innovation in chemical defense by combining molecular complexity metrics, metabolomics, molecular docking, and phylogenetic analyses, using milkweed cardenolides, steroidal glycosides that inhibit animal Na+/K+-ATPases. We identify the addition of a nitrogen–sulfur (N,S) heterocycle in highly substituted cardenolides as a major structural innovation that restores toxicity against coevolved natural enemies, such as the monarch butterfly. This toxicity is likely achieved by rigidifying the cardenolide scaffold and creating additional nonelectrostatic interactions within the Na+/K+-ATPase binding pocket, thereby enhancing binding affinity despite target-site resistance. Two biosynthetically distinct N,S-cardenolides, uscharin and labriformin, rank among the most complex structures in this chemical class and show divergent macroevolutionary histories: uscharin represents an ancestral character state with repeated losses, whereas labriformin has independently evolved multiple times in later-diverging lineages. This pattern across Asclepiadoideae indicates that the structural innovation evolved repeatedly, apparently limited by lineage-specific biosynthetic constraints among precursor pathways. N,S-cardenolides occur in over 75% of the 59 Asclepias species examined here, and species producing N,S-cardenolides exhibit greater cardenolide abundance, richness, metabolomic space, and toxicity against adapted organisms. More generally, structural innovation defines a distinct evolutionary axis in plant chemistry, enabling defense diversification and adaptive recovery of toxicity. Such innovations are predicted to build on existing molecular scaffolds in response to ecological challenges, here driven by coevolving specialist herbivores.
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mhryu@live.com
Today, 1:44 AM
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Resolving the biological and geological events that led to the origin of eukaryotes is an ongoing challenge in biology. A major step in the evolution of complex cellular life was the merger between an ancestral host cell and a bacterium (that became the mitochondrion) some two billion years ago. Recently, metagenomics has enabled the reconstruction of a broad diversity of genomes, referred to as the Asgard Archaea. The Asgards are monophyletic with eukaryotes on the tree of life. Asgards have an array of genes, previously thought exclusive to eukaryotes, involved in cellular trafficking, the ubiquitin system, endosomal sorting, and cytoskeleton formation, with growing evidence demonstrating the functions of these proteins mirror those in eukaryotes. This gene repertoire suggests that these Archaea are descendants of the archaeal host from which eukaryotes evolved. Increased sampling has revealed that Asgard lineages are metabolically versatile and play key roles in various ecosystems and uncovered evolutionary transitions between Archaea and eukaryotes, such as innovations in eukaryotic defense systems. The positioning of eukaryotes in the Asgards is debated, but eukaryotes appear to branch within the Heimdallarchaeia. Lineages within this group, particularly Hodarchaeales and Kariarchaeaceae, contain a broad repertoire of eukaryote-like traits, including high-energy yielding metabolisms. Observing and studying Asgard interactions with bacterial descendants of mitochondria in a modern setting will transform our understanding of the origin of complex cellular life.
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mhryu@live.com
Today, 1:06 AM
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Efficient genome writing in mammalian cells requires robust methods for integrating large DNA payloads. The previously described method mammalian Switching Antibiotic resistance markers Progressively for Integration (mSwAP-In) enables iterative, biallelic genome rewriting in mammalian stem cells with DNA payloads exceeding 100 kb. However, the lack of standardized vectors and certain technical constraints have limited its broader adoption. Here we present an improved plasmid toolkit designed to streamline the implementation of mSwAP-In. The toolkit includes two core vectors. pLP-TK (pCTC174) is a landing-pad plasmid compatible with Golden Gate assembly of genomic homology arms and supports both mSwAP-In and the recombinase-mediated cassette exchange method Big-IN. mSwAP-In MC2v2 (pKBA135) is a versatile Big DNA assembly and delivery vector that supports Gibson-based assembly and incorporates positive, negative, and fluorescent selection markers, as well as a backbone counterselection cassette to minimize unwanted plasmid integration. The vector architecture also enables propagation in yeast and bacterial hosts, inducible plasmid copy-number amplification in standard E. coli strains, and CRISPR/Cas9-mediated payload release through preinstalled guide RNA target sites. We further characterize the FCU1/5-FC counterselection system in mouse embryonic stem cells and define conditions that minimize its bystander toxicity. Finally, we provide a set of Cas9-gRNA expression plasmids optimized for common mSwAP-In applications. Together, these reagents constitute a standardized and experimentally validated toolkit that simplifies large-scale genome writing using mSwAP-In.
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mhryu@live.com
March 16, 11:50 PM
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Here, we introduce a new name into the bacterial energy conservation lexicon: facilitated fermentation. This name is necessary because the more familiar terms “respiration” and “fermentation” do not adequately describe how electron balancing is coupled to energy conservation for organisms that engage in this metabolism. Facilitated fermentation is when ATP is predominantly made via a substrate-level pathway that is redox-coupled to a terminal electron acceptor reduced outside of the cell. The coupling is often facilitated by an extracellular electron shuttle or outer membrane protein that shuttles electrons from the electron transport chain to the extracellular acceptor. Naming facilitated fermentation is timely because it has recently been demonstrated to support both growth and non-growth states in bacteria that are important in nature and disease. We hope that the introduction of this term will inspire future research to evaluate the extent of facilitated fermentation’s prevalence and impact in the microbial world and beyond.
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mhryu@live.com
March 16, 11:38 PM
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When environmental bacteria transition to laboratory conditions, a process termed domestication, the shift from the native habitat to a culture medium often reduces cell cultivability. Consequently, most bacteria remain uncultured using standard techniques, leaving the majority of their diversity unexplored. Here we introduce an enhanced domestication (EDEN) method for bacterial cultivation, which acclimatises environmental bacteria to culture media through a controlled and gradual exposure. To facilitate EDEN, we develop a 3D-printable microwell plate incorporating growth chambers integrated with a continuous-flow media reservoir. Using amplicon sequencing, we show that EDEN-acclimatised bacterial polycultures grow as distinct populations with significantly greater diversity and likely-uncultured taxa compared with standard cultivation methods. Similarly, EDEN-acclimatised bacterial monocultures show threefold greater diversity and tenfold more likely-uncultured taxa. EDEN also doubled the cultivability of agarose-encapsulated microcolonies. Finally, we demonstrate the utility of EDEN by isolating a previously uncultured bacterium exhibiting broad-spectrum antimicrobial activity against drug-resistant pathogens.
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mhryu@live.com
March 16, 10:55 PM
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The commercialization of cultivated meat remains limited by the high cost of cell culture medium. Here, we discuss how multi-omics characterization and computational modelling can enable the design of cell line-specific, serum-free medium using valorized sources, offering improved cost-efficiency and sustainability.
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mhryu@live.com
March 16, 10:23 PM
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Bacteriophages play a critical role in controlling bacterial populations, both in nature and as potential therapeutic agents. Their ability to replicate, compete against each other, and eradicate target cell populations is usually understood through a number of ‘life history parameters’, traditionally measured by population-level assays, which implicitly average the parameter’s value across a large number of infection events. Recent experiments suggest that bacteriophage life history parameters are subject to considerable stochasticity, raising the question of whether experimental and modelling efforts that do not account for this variability may overlook important factors in phage’s behavior, competitive fitness or therapeutic viability. Here, using agent-based simulations, we investigate the importance of stochasticity in lysis time and burst size of lytic bacteriophages in two common laboratory competition experiments: serial passage of well-mixed populations and plaque expansion across a bacterial lawn. We find that a phage’s analytic growth rate in isolation can be a poor predictor of its fitness advantage in simulated competition experiments. Specifically, when lysis times are tightly distributed, we identify a novel effect we name “population resonance”, through which a bacteriophage can display a significant fitness advantage over a competitor with a much greater growth rate in isolation. Our simulations also show that both serial passage and plaque expansion reward variability in lysis time more than expected, by increasing the phage resilience when resources are scarce.
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mhryu@live.com
March 16, 6:29 PM
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Biomolecular interactions lie at the core of cellular life, spanning diverse molecular modalities from small molecules to nucleic acids and proteins. Nevertheless, design strategies remain separated despite shared physicochemical principles of molecular recognition. Here we present AnewOmni, a unified generative framework trained on more than 5 million biomolecular complexes, that enables transferable molecular design across molecular scales by assembling chemically meaningful building blocks at atomic resolution. We further introduce programmable graph prompts to support user-defined chemical, topological, and geometric steering during generation, exploring hybrid and unconventional chemistries beyond canonical structures. We demonstrate that transferable learning of interaction patterns and physical constraints across molecular modalities is possible, via an atom-to-block latent space capturing both atomic details and structural priors. The framework successfully designed small molecules, peptides, and nanobodies targeting the challenging KRAS G12D switch II pocket, as well as orthosteric peptides and allosteric small-molecule inhibitors for PCSK9 in the absence of known binding site, achieving 23%-75% success with only low-throughput validation, bypassing modality-specific high-throughput screening. AnewOmni is the first to succeed in functional molecular design across all scales, from small chemical entities to large biologics, and represents a stepstone towards general molecular reasoning engines, advocating a generative foundation model for biomolecular interactions to enter regimes where data and human intuition remain limited.
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mhryu@live.com
Today, 1:29 PM
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The social behaviors of microbes provide unique opportunities for testing social evolution theories. How can altruistic behaviors arise by natural selection is a central challenge in biology. Green-beard effect has been proposed as a basic mechanism for the evolution of altruistic behaviors. Yet, green-beard genes are generally thought to be rare. Here, we find that the Schizosaccharomyces pombe gsf2 gene mediates flocculation-like aggregation, and flocculation is triggered by acid stresses. gsf2-expressing cells preferentially adhere to each other. The expression of gsf2 is costly, but gsf2-expressing cells preferentially adhere to each other and protect each other from external stress. Gsf2 is highly variable in natural populations, likely contributing to different flocculation intensity. These findings suggest that gsf2 is a gradient green-beard gene that drives the altruism among gsf2 carriers. Moreover, we find that gsf2 is a new gene that originated very recently. Our results provide insights into the origin and evolution of green-beard genes.
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mhryu@live.com
Today, 1:07 PM
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Biogenic nanoparticles are distinguished by their unique physical and chemical attributes, notably their potent antimicrobial activity against bacterial and fungal pathogens, as well as their cytotoxic effects on cancer cells. These nanoparticles are characterized by their biocompatibility, indicating their potential as effective antimicrobial agents and in oncological therapies. This article examines the existing literature on the antimicrobial and cytotoxic properties of nanoparticles derived from cyanobacteria, with particular emphasis on their implications for human health.
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mhryu@live.com
Today, 11:03 AM
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The model legume Medicago truncatula delivers nodule-specific cysteine-rich peptides to the intracellular bacteria within nodules to coerce the microbe into terminal differentiation, which coincides with nitrogen fixation in this species. Inside the host cell, the anterograde protein trafficking pathway is repurposed toward a new compartment, the symbiosome. Precise protein delivery within the nodule is critical to the success of the symbiosis in M. truncatula; without it, nodules form but do not fix nitrogen. For example, when the plant lacks DNF1, the nodule-specific 22-kDa subunit of the signal peptidase complex (SPC), the intracellular bacteria fail to fully differentiate, leading to defective nitrogen fixation. The present study shows that DNF1 became specialized in symbiosis through its nodule-specific expression, and we identified nodule-specific cis-elements that are crucial for that transcriptional control. Furthermore, we identified the nodule-specific SPC catalytic subunit and demonstrated that CRISPR/Cas9-induced mutation of this gene causes a symbiosis defect, which phenocopies the dnf1 mutant. These results suggest that a dedicated SPC in the nodule is co-opted for symbiosis through transcriptional regulation.
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mhryu@live.com
Today, 9:30 AM
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Protein–protein interactions (PPIs) are central to cellular processes and host-pathogen dynamics across all domains of life, yet comprehensive interactome mapping remains challenging at the proteome scale. Experimental approaches provide only partial coverage, while existing computational methods often lack generalizability across species or are too resource-intensive for large-scale screening. Here, we introduce ppIRIS (protein–protein Interaction Regression via Iterative Siamese networks), a lightweight deep learning framework that integrates evolutionary and structural embeddings to predict PPIs directly from sequence. Evaluated on multi-species benchmarks, ppIRIS achieves state-of-the-art accuracy while enabling proteome-wide screening in minutes. Trained on curated bacterial datasets and applied to the Group A Streptococcus (GAS) proteome, ppIRIS identified functional clusters associated with virulence pathways, such as nutrient transport, stress response, and metal scavenging. Extending to cross-species prediction, ppIRIS recovered 56.2% of known GAS-human plasma interactions with enrichment in complement, coagulation, and protease inhibition pathways. Experimental validation confirmed novel predictions, demonstrating the applicability of ppIRIS for systematic discovery of bacterial and cross-species PPIs. The model together with a Google Colaboratory is freely available at github.com/lupiochi/ppIRIS.
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mhryu@live.com
Today, 1:54 AM
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Ecosystems and human health are at serious risk due to the extensive application of pesticides in the agricultural system for controlling pests and diseases. The use of microbial consortia (MicroCons) has emerged as a promising solution for the remediation of pesticide-contaminated soil, offering a sustainable and eco-friendly alternative to physical and chemical methods; however, a systematic review on this aspect is still lacking. This comprehensive review provides an in-depth analysis of the current knowledge on microbial consortia-based remediation of pesticides in agricultural soil. Efficacy of single-strain vs multiple strains in MicroCons have been discussed to unravel the workload distribution between microbial strains in pesticide degradation. We also discuss the design and optimization of microbial consortia for remediation, highlighting the role of advanced tools and the mechanisms of MicroCons action. Furthermore, emerging trends and future directions in the field, including the potential of synthetic biology, machine learning (ML), and artificial intelligence (AI) are also covered. This review aims to critically expand the mechanistic understanding of how microbe-mediated remediation strategies might reduce pesticide phytotoxicity, enhance crop production in pesticide-stressed soils, and inspire future research and practices in MicroCons-based remediation to achieve the Sustainable Development Goals (SDGs).
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mhryu@live.com
Today, 1:48 AM
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Targeted protein degradation is a promising strategy for drug discovery, but designing effective PROTACs remains challenging, especially for proteins without well-defined binding sites. Current methods rely on modifying linkers between fixed ligands, which limits the diversity and innovation of the overall molecular architecture of PROTAC. Here, we introduce DeepDegradome, an AI-powered method that automates the structure-aware design of both small-molecule ligands and PROTACs. It employs a large fragment library constructed from public databases and applies an in-house docking method (iFitDock) to obtain initial binding fragments. DeepDegradome builds ligands by assembling these fragments based on the shape and physicochemical features of the target protein pocket. It can further construct PROTACs from these generated ligands, eliminating the dependency on predefined warheads or E3 ligands. Compared to other AI models, DeepDegradome produces more valid, drug-like molecules with higher predicted binding affinity. We demonstrate DeepDegradome’s effectiveness by designing and validating multiple potency inhibitors and PROTACs for two protein targets: WDR5 and CDK9. One synthesized compound showed excellent agreement between predicted and actual binding conformation confirmed by X-ray crystallography. By combining ligand and PROTAC design in one system, DeepDegradome offers a scalable and reliable tool for discovering new drugs against protein targets.
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mhryu@live.com
Today, 1:13 AM
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Pyomelanin has been extensively applied in various fields. However, the yield of pyomelanin isolated from natural producers is low. Engineering microbial biosynthesis is considered a sustainable and economically feasible alternative. We utilize engineered Komagataella phaffii to increase the yield of homogentisic acid by 66-fold by balancing three different biosynthetic modules and further synthesizing pyomelanin by oxidative polymerization. During this process, we establish a pyomelanin color screening system and apply this system to perform directed evolution of 3-deoxy-D-arabinoheptulosonate 7-phosphate synthase and semirational design modification of hydroxyphenylpyruvate dioxygenase. We report the difference of pyomelanin between oxidative polymerization under alkaline conditions and that under laccase treatment. After high-density fermentation in a 5-L fermenter for 204 h, strain Pyo29 achieve the highest titer (70.5 ± 0.7 g/L). Finally, we demonstrate the potential application value of pyomelanin. This study provides a feasible solution for high-yield pyomelanin biosynthesis with substantial industrial production. Pyomelanin is resistant to UV light, and has antibacterial and anti-inflammatory effects, however, the yield of pyomelanin isolated from natural producers is low. Here the authors engineer Komagataella phaffii to produce 70.5 g/L and isolate the product.
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mhryu@live.com
Today, 12:48 AM
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Prime editing (PE) and base editing (BE) are potent gene-editing techniques that avoid introducing exogenous DNA donors and double-strand breaks, but their large molecular size hinders efficient delivery and widespread application. Here, we engineer and evolve compact obligate mobile element-guided activity (OMEGA)-based PE and BE systems, termed OMEGA-PE and OMEGA-adenine base editor, which achieve superior editing efficiency and versatility compared with existing PE and BE tools in E. coli. Notably, OMEGA-PE enables rapid, programmable targeted mutagenesis with outstanding specificity and efficiency compared with current tools. Moreover, it exhibits excellent compatibility with several high-throughput screening platforms and can be used to enhance the efficiency of cofactor regeneration and protein translation. These groundbreaking advancements offer significant potential for gene editing, directed evolution, metabolic engineering, and protein expression optimization. Combining compact size with high performance, our OMEGA-based systems address key bottlenecks in current tools, offering new possibilities for basic research and industrial biotechnology.
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mhryu@live.com
March 16, 11:44 PM
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Gene expression in mycobacteria relies on both integrative and episomal E. coli-mycobacterium shuttle vectors. However, existing vectors have limited flexibility for adding epitope tags, selectable markers, and fluorescent reporters. To overcome this, we created a modular toolkit consisting of 32 integrative and eight episomal E. coli-mycobacterium shuttle vectors. Each vector features N- or C-terminal tags: SBP-HA-S, 3×-FLAG, GFP, and mCherry. The integrative vectors contain four different phage systems (L5, Giles, MS6, and Tweety), each with a distinct antibiotic resistance marker, enabling stable integration at various chromosomal sites. We validated the system in Mycobacterium smegmatis by expressing RbpA, an RNA polymerase-binding protein. Fluorescent tags confirmed Wag31’s polar localization, whereas co-expression with FtsZ illustrated their distinct localizations. The system’s flexibility was further shown by co-expressing four Mycobacterium tuberculosis sigma factors (SigA, SigC, SigG, and SigH) simultaneously. Additionally, an SBP-HA-S tandem affinity tag facilitated efficient two-step purification of RbpA with RNA polymerase and related regulators, reducing background compared to FLAG pull-down. This toolkit provides a versatile, reliable platform for gene complementation, protein localization, multi-protein co-expression, and native complex purification, supporting advanced genetic and cell biological studies in mycobacteria.
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mhryu@live.com
March 16, 11:03 PM
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Lignin forms the polyphenolic network in wood that enables trees to stand upright, transport water and ions, and resist microbial attack. Although its structural complexity is often seen as a limitation, its inherent multifunctionality offers opportunities. By strategically harnessing these features, new directions for advanced lignin-based materials can emerge.
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mhryu@live.com
March 16, 10:37 PM
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Using engineering biology to perform complex chemical synthesis offers a sustainable alternative to traditional processes that rely on finite fossil resources. A growing opportunity within this field lies in reclaiming carbon embedded in industrial and post-consumer waste—carbon otherwise lost to landfill, incineration or pollution. Here we report the bio-upcycling of poly(ethylene terephthalate) (PET) plastic waste into levodopa (l-DOPA), a frontline medication for Parkinson’s disease, using engineered E. coli. Two key bottlenecks—substrate import and feedback inhibition by the intermediate protocatechuate—were addressed through heterologous transporter expression and functional pathway separation across two microbial strains. To further improve sustainability, and as a proof-of-concept, Chlamydomonas reinhardtii was used to capture CO2 released during catechol generation. The resulting bioprocess operates under mild, aqueous conditions and achieves high l-DOPA titres (5.0 g l−1), with isolated product obtained at preparative scale from both industrial PET waste and a single post-consumer plastic bottle. This work demonstrates how engineering biology can transform plastic-derived aromatic monomers into high-value pharmaceuticals for the treatment of neurological disease in humans. The production of high-value chemicals can involve energy-intensive processes, necessitating sustainable production strategies. Here the authors present a circular bioeconomy approach, upcycling plastic waste through microbial conversion into levodopa, a medicine for Parkinson’s disease.
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mhryu@live.com
March 16, 6:37 PM
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Delivery of biomolecules into plant vascular tissues remains a barrier to managing diseases caused by insect vector-borne pathogens and to modifying phenotypes of established perennial crops. Inspired by the vascularized growth of crown galls induced by Agrobacterium tumefaciens, we repurposed the bacterium’s plant growth regulator (PGR) genes to engineer autonomously dividing, transgene-expressing plant cell structures termed symbionts. A plant transformation vector (pSYM) incorporating the IaaM, IaaH, Ipt and gene5 cassette from A. tumefaciens strain C58 together with a gene of interest on the same transfer DNA was delivered to stems of herbaceous and woody dicots using disarmed A. tumefaciens strain EHA105. Symbiont morphology, vascular differentiation, transgene expression, molecular mobility and protein secretion were evaluated using microscopy, fluorescent reporters, dye tracing, RNA silencing assays and mass spectrometry-based proteomics. pSym inoculation reproducibly generated symbionts across diverse host plant species that were vascularly integrated into their host plants and transgene expression ranging from heterogeneous niches to more uniform patterns. Small molecules moved between symbionts and host vascular tissues, whereas larger proteins exhibited more restricted mobility. Post-transcriptional gene silencing signals moved freely throughout the symbiont and slightly into adjacent stem tissue. Under tested field and greenhouse conditions in potato and tomato, respectively, gall or symbiont formation had no negative impacts on plant growth or tuber and fruit yield. In vitro, symbiont cultures abundantly secreted recombinant protein into surrounding media. Together, these results establish symbionts as a modular, plant bioengineering platform capable of producing and potentially delivering biomolecules without modifying the host plant genome, providing a foundation for vascular-targeted therapeutics and phenotype modulation in crops.
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2st, overexpression