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Spatiotemporal regulation of plant cell division | CiP

Spatiotemporal regulation of plant cell division | CiP | RMH | Scoop.it

Plant morphogenesis largely depends on the orientation and rate of cell division and elongation, and their coordination at all levels of organization. Despite recent progresses in the comprehension of pathways controlling division plane determination in plant cells, many pieces are missing to the puzzle. For example, we have a partial comprehension of formation, function and evolutionary significance of the preprophase band, a plant-specific cytoskeletal array involved in premitotic setup of the division plane, as well as the role of the nucleus and its connection to the preprophase band of microtubules. Likewise, several modeling studies point to a strong relationship between cell shape and division geometry, but the emergence of such geometric rules from the molecular and cellular pathways at play are still obscure. Yet, recent imaging technologies and genetic tools hold a lot of promise to tackle these challenges and to revisit old questions with unprecedented resolution in space and time.

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CasMiner: a deep learning tool for high-throughput mining and rational design of efficient Cas9 | nsr

Since its inception, the CRISPR-Cas system, particularly Cas9, has demonstrated immense potential for life science applications, but expansion of the Cas9 toolkit is constrained by sequence alignment-based strategies for mining and optimization. Here, we developed CasMiner, a deep learning model for discovering and engineering novel Cas9 proteins. CasMiner achieved 99.63% accuracy in predicting Cas9s, and identified VpCas9 from public databases. Experimental validation showed that VpCas9 exhibits robust double-strand cleavage activity. Combining CasMiner and evolutionary analysis, we engineered three mutants with markedly increased structural rigidity and positive charge. In vivo cleavage assays revealed that the mutant VPM2-3 achieved a higher average editing efficiency in rice callus and maize protoplasts than the wild-type VpCas9, whose editing efficiency rivals that of SpCas9. This study thus establishes a comprehensive platform for mining and engineering Cas9 proteins, and provides VpCas9 and derivative nucleases as powerful tools that greatly broaden the horizon for genome editing applications.

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Rapid and Quantitative Phage Susceptibility Test by Ramanome | brvt

Rapid and Quantitative Phage Susceptibility Test by Ramanome | brvt | RMH | Scoop.it

Antimicrobial resistance poses an escalating global threat, renewing interest in bacteriophage therapy as a precision alternative to antibiotics. However, clinical translation remains hindered by the lack of rapid and quantitative phage susceptibility testing (PST) platforms capable of evaluating host range, infection potency, and effective multiplicity of infection (MOI). Here we present RPST, a ramanome-based phenotypic platform that captures infection-induced remodeling of bacterial macromolecular composition to unify these diagnostic requirements within a single workflow. RPST integrates four Raman biomarkers into a Composite Infection Index (CII), enabling rapid and lysis-independent discrimination between susceptible and resistant bacterial populations within ~1 hour, with 96.0% categorical concordance (24/25) to plaque assays. As a continuous population-level metric, CII quantifies the proportion of infected cells, allowing quantitative ranking of phage potency against shared hosts. By resolving CII trajectories across the MOI and time, RPST further determines the minimal effective MOI, which is the lowest phage-to-bacterium ratio sustaining self-propagating infection, thereby defining the lower boundary for therapeutic feasibility. Together, these capabilities transform PST from static compatibility assays into a dynamic and quantitative framework that bridges in vitro infectivity assessment and infection dynamics relevant to phage therapy.

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Programming Next-Generation Synthetic Biosensors by Genetic Circuit Design | advS

Programming Next-Generation Synthetic Biosensors by Genetic Circuit Design | advS | RMH | Scoop.it

Synthetic biology employs engineering principles to construct genetic circuits with customized functionality, empowering unprecedented control over biological systems. By harnessing this capability to precisely manipulate biological systems, synthetic biosensors are being developed as promising biosensing platforms for on-site, sustainable, affordable, and easy-to-use detection across diverse scenarios, such as environmental monitoring, disease diagnosis, food safety control, and bioproduction optimization. However, the field deployment and real-world application of synthetic biosensors face considerable challenges in biosensing sensitivity, specificity, speed, stability, and biosafety. This review summarizes recent advancements of genetic circuit-enabled synthetic biosensors, focusing on their sensory mechanisms, designs, and applications. Moreover, the design principles, enabling tools, and engineering strategies for creating a high-performing synthetic biosensor are analyzed. In particular, methods for tuning various characteristics of the dose-response curve, including detection limit, detection threshold, operating range, dynamic range, and leakiness, are thoroughly examined. Finally, this review discusses the functional extension of biosensors by customizing signal-processing and output modules, and outlines future directions to expedite the transition of synthetic biosensors from laboratory settings to field applications. Genetic circuit-enabled synthetic biosensors, in collaboration with materials science, electronic engineering, and artificial intelligence, will tremendously expand the application space of synthetic biology.

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2st, wang b

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Integrase-On-Demand: bioprospecting integrases for targeted genomic insertion of genetic cargo | nar

Integrase-On-Demand: bioprospecting integrases for targeted genomic insertion of genetic cargo | nar | RMH | Scoop.it

Integrases serve as powerful biotechnology tools that catalyze recombination at specific DNA sequences (att sites) and facilitate chromosomal integration of gene cargos transferred into cells. Given that genomes often lack the attB integration sites recognized by frequently utilized integrases, integrase technology has largely been restricted to genetic engineering of model organisms into which attB sites can be synthetically introduced. To enable single-step site-specific integrase-mediated genome editing in a broad spectrum of prokaryotes, we have devised the Integrase-On-Demand (IOD) method. IOD systematically identifies integrases, within bacteria and archaea, that can integrate into available attB sites in any target prokaryote. Computational results show that diverse bacteria generally have multiple potentially useable native attB sites for novel integrases. We confirmed the functionality of predicted integrase and attB pairs for mediating site-specific integration of heterologous DNA into the genomes of Pseudomonas putida S12 and KT2440 and Synechococcus elongatus UTEX 2973, measuring efficiency of integration using nonreplicating vectors. By eliminating the requirement to introduce non-native attB sites into the target genome, IOD may, when suitable transformation methods exist, allow facile genome integration of large constructs in nonmodel and possibly nonculturable bacteria.

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3st, predict attB , Recent advances in GI discovery, enabled by our Islander and TIGER software, have greatly expanded the association of tyrosine and serine integrases with their precisely predicted att sites across hundreds of thousands of diverse prokaryotic genomes. 1) MASH is used to determine close relatives of the input genome available in the IOD database. (2) A query list of attBs and half attBs are used as a query against the BLASTN database of the genome of interest. (3) A series of filters locates candidate attB sites and collapses overlapping matches. (4) GI-occupied attBs (identified by distance between hits to left and right attB halves) are rejected and the best candidate attB sites in the genome are reported separately from the duplicate sites.

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Ratoon Season Rice Reduces Methane Emissions by Limiting Acetic Acid Transport to the Rhizosphere and Inhibiting Methanogens | advS

Ratoon Season Rice Reduces Methane Emissions by Limiting Acetic Acid Transport to the Rhizosphere and Inhibiting Methanogens | advS | RMH | Scoop.it

Rice paddies are a major, persistent source of atmospheric methane (CH4), emission rates depend on the partitioning of photosynthate carbon between the rice plant and the rhizosphere microbiome. Although ratoon season rice (RR) is shown to emit far less CH4 than main-crop rice (MC), the mechanisms have remained unresolved. This work conducts a 2-year field experiment in which RR is compared with MC and with late rice (LR) synchronized to the RR heading stage. Relative to MC and LR, RR lowers daily CH4 flux by 91%, raises daily grain yield by 34%–57%, and increases net economic return by 90%–136%. Mechanistically, 13C-labelling reveals that RR diverted more newly fixed carbon to the grain and less to the rhizosphere, thereby restricting acetate availability for methanogens. Rhizosphere metagenomics show reduced abundance of Methanobacteriaceae and down-regulation of methanogenic genes in RR. This carbon-reallocation pattern is underpinned by an abscisic acid (ABA)-mediated interaction between OsCIPK2 and OsSWEET1A, which simultaneously curtailed carbon efflux from roots and enhanced grain filling. This study is the first to establish a comprehensive framework of “ABA regulation—carbon allocation—microbial function—emission reduction and efficiency enhancement.” It provides targetable strategies for carbon allocation and microbial management within climate-smart rice farming systems.

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1str, less root exudate

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Microbial communities and plasmids mediate biodegradation of polycyclic aromatic hydrocarbons (PAHs) in coastal sediments | ComB

Microbial communities and plasmids mediate biodegradation of polycyclic aromatic hydrocarbons (PAHs) in coastal sediments | ComB | RMH | Scoop.it

Polycyclic aromatic hydrocarbons PAH are persistent coastal pollutants, yet the ecological and genomic strategies governing the persistence and function of degraders under in-situ stress remain elusive. Here we decode these adaptive mechanisms using metagenomics and cultivation in the Pearl River Estuary, integrated with global comparative analyses. We reveal a multi-level adaptive strategy where high PAH stress drives ecological network densification and selectively enriches the thermodynamically favorable catechol ortho-cleavage pathway. Crucially, we elucidate a conserved genomic “division of labor”, where chromosomes encode stable upstream activation steps, while plasmids serve as specialized, mobile reservoirs for downstream central aromatic processing. This plasmid-mediated functional partitioning is globally conserved across diverse coastal ecosystems, although the reliance on mobile vectors is dynamically tuned by environmental stability. Collectively, these findings unveil a holistic adaptive framework that integrates ecological cooperation with genomic partitioning, highlighting a plasmid-mediated “plug-and-play” mechanism that underpins microbial resilience and guides precision bioremediation. Coastal microbiomes adapt to polycyclic aromatic hydrocarbon stress via a conserved genomic division of labor where chromosomes retain upstream specificity, while plasmids mobilize downstream detoxification modules, shown by sampling in China’s Pearl River Estuary.

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An SPFH Protein Couples Membrane Stress to Differentiation in Bacillus subtilis | brvm

An SPFH Protein Couples Membrane Stress to Differentiation in Bacillus subtilis | brvm | RMH | Scoop.it

Bacillus subtilis adapts to fluctuating environmental stress, such as membrane perturbation or alkaline conditions, using membrane associated regulatory complexes. Here, we rename the previously termed pspA ydjGHI operon to pspA samGHI (for starvation and motility) to reflect its functional roles in membrane envelope stress signalling. The SamG SamH membrane proteins recruit SamI, a cytosolic SPFH protein, which stabilizes focal membrane localization and recruitment of PspA, an ESCRT III homolog. Under normal conditions, this system transiently assembles at the membrane, stabilizing it and allowing proper motility, secretion, and biofilm formation. Loss of SamI (ΔsamIydjI) leads to unbalanced SamG SamH activity leading to a constitutive stress signalling, and global transcriptional changes reminiscent of starvation situations. This, in turn, blocks secretion of the matrix protein BslA, preventing biofilm formation, and reducing motility. Deletion of samH in combination with ΔsamI restores biofilm formation, while ΔpspA mutants form biofilms normally, indicating that PspA is dispensable for the developmental phenotype. Our findings reveal that beside membrane integrity SamGHI coordinates transcriptional homeostasis and multicellular development through formation of a membrane integral stress sensor complex.

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A combinatorial synthetic strategy for developing genome-editing protein-delivery agents targeting mouse retina | Ncm

A combinatorial synthetic strategy for developing genome-editing protein-delivery agents targeting mouse retina | Ncm | RMH | Scoop.it

CRISPR/Cas9-based gene-editing technologies offer promise for treating inherited retinal diseases (IRDs), however safe and efficient ocular delivery of precision editors remains challenging. To address this challenge, we report a class of Coomassie brilliant blue (CBB)-derived lipidoids that bind and deliver proteins. Subretinal injection of Cre complexed with these lipidoids into mT/mG mice leads to robust recombination in the retinal pigment epithelium and photoreceptors. We employ the CBB-lipidoid platform to deliver adenine base editor (ABE) ribonucleoproteins (RNP). Incorporating CBB lipidoids into liposomes improves delivery efficiency. CBB11 stands out for facilitating precise in vivo ABE-mediated gene editing. Delivery of liposome-CBB11-RNP complexes results in a 120-fold increase in base editing compared to RNP alone and restores the scotopic ERG b-wave response in the rd12 mouse model. These results demonstrate the potential of CBB-augmented, liposome-RNP systems for therapeutic gene editing in the eye, paving the way for single-dose precision medicines to treat IRDs. Precise and efficient CRISPR genome editing requires specialized delivery systems. Here, the authors develop Coomassie lipidoids that deliver purified adenine base editors into retinal tissues, making it possible to achieve robust genome editing with a defined, non-viral nanomedicine.

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CBB moiety strongly binds proteins, and the lipid moiety interacts with the cell membrane. The fundamental design principles for a CBB-containing delivery agent include: 1) the CBB protein-binding domain; 2) an ionizable-linker domain; and 3) a lipid or lipidoid domain. The CBB compounds are integrated into liposomes comprising ionizable lipid (orange), phospholipid (grey), cholesterol (red) and PEG lipid (light blue), and bind RNP on the liposome surface in an aqueous, neutral environment. The RNP-liposome complex is absorbed by the cells via endocytosis pathway. Subsequent protonation of the ionizable CBB delivery agents and ionizable lipids releases the tagged proteins from the particles, enabling their intracellular transport to the nucleus to edit the targeted DNA sequence.

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Engineering auronidin production in Marchantia polymorpha enables a new class of plant-derived textile pigments | brvp

Engineering auronidin production in Marchantia polymorpha enables a new class of plant-derived textile pigments | brvp | RMH | Scoop.it

Plant-derived pigments offer sustainable alternatives to synthetic colorants, yet their practical deployment in textiles is limited by restricted chemical diversity and low abundance. Liverworts represent a source of diverse chemical compounds, and the model liverworts Marchantia polymorpha is an emerging as chassis for bioengineering and synthetic biology. Here, we report the biotechnological application of auronidins, a rare class of flavonoid pigments, as textile dyes. Using the Marchantia, we engineered enhanced auronidin production through controlled expression of the R2R3-MYB transcription factor MpMYB14. We systematically benchmarked constitutive and inducible gene expression systems, including heat-shock, glucocorticoid receptor, and β-estradiol (XVE) circuits, identifying inducible strategies that decouple biomass accumulation from secondary metabolite production while achieving high pigment yields. Extracted auronidins were used to dye cotton yarn directly, demonstrating the feasibility of auronidins for textile dyeing. Our results establish Marchantia as a versatile plant chassis for programmable secondary metabolite production and introduce auronidins as a promising natural pigment platform for sustainable textile biotechnology.

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haseloff

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Density transitions in the regulation of transcription | MCell

Density transitions in the regulation of transcription | MCell | RMH | Scoop.it
Transcription of the right genes at the right time is crucial for physiology and often dysregulated in disease. For a process that requires precise outcomes, the underlying molecular interactions regulating transcription can be surprisingly dynamic and short-lived. Various sources of multivalency have been proposed to stabilize short-lived interactions at specific genomic loci. Through multivalent contacts, components of the transcription machinery form complexes and, above-threshold concentrations, can form condensates by undergoing reversible density transitions (i.e., phase separation). Importantly, coupling the density transition to networking generates a condensate-spanning network with emergent properties that soluble complexes do not possess, including enhanced dwell times of relevant components, distinct chemical environments, capillary forces, and biochemically active interfaces. Here, we will review the current evidence for and against the role of density transitions in regulating transcription, discuss best practices for studying the functional roles of these phenomena, and consider how emergent properties may regulate transcription.
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llps

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Evolutionary bioenergetics of sporulation | pnas

Evolutionary bioenergetics of sporulation | pnas | RMH | Scoop.it
Energy is required for the expression and maintenance of complex traits. In many habitats, however, free energy available to support biosynthesis is in vanishingly short supply. As a result, many taxa have evolved persistence strategies that support survival in unfavorable environments. Among these is sporulation, an ancient bacterial program governed by a large genetic network that requires energy for both regulation and execution. Yet sporulation is a last resort, initiated when cellular energy is nearly exhausted. To resolve this paradox, we quantified the energetic cost of sporulation in units of ATP by integrating time-resolved genome, transcriptome, and proteome profiles. The full cost of the spore cycle, including both formation and revival, ranks among the most energy-intensive processes in the bacterial cell, requiring almost 1010 ATP and consuming about 10% of the total energy budget. The majority of this cost arises from translation, membrane synthesis, and protein turnover. Despite its considerable upfront investment, sporulation enables long-term survival and becomes optimal when harsh conditions extend over timescales of months or longer. This trade-off between immediate cost and delayed benefit helps explain when sporulation is maintained or replaced by alternative strategies. By incorporating our estimates into mechanistic models, we show how metabolic constraints shape sporulation efficiency, while genome-wide mutation accumulation data reveal that even modest energetic burdens can become visible to selection, influencing the evolutionary fate of this complex and widespread trait.
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High-throughput editing boosts the construction of next-generation microbial cell factories | ssb

High-throughput editing boosts the construction of next-generation microbial cell factories | ssb | RMH | Scoop.it
Traditional metabolic engineering faces numerous challenges in constructing microbial cell factories, such as inefficient gene editing, time-consuming and labor-intensive screening processes, and the complexity of multi-gene optimization. High-throughput (HTP) genome editing technology accelerates the optimization of microbial metabolic pathways by precisely and efficiently modifying multiple genes. Furthermore, HTP genome editing technology enables the rapid screening and modification of key enzymes or regulatory factors across multiple metabolic pathways, facilitating the analysis of complex regulatory mechanisms. These advantages make it a key enabling tool for both top-down analysis and bottom-up assembly of metabolic pathways. This review summarizes the mechanisms and applications of various HTP genome editing and discusses the development of HTP strategies that accelerate the design-build phase for microbial cell factories (MCFs). These advancements promised to significantly enhance the performance of MCFs and drive the next generation of sustainable, bio-based production technologies.
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Phenazine-Based Synthetic Biology to Signal Between Cells and Electrodes | bab

Phenazine-Based Synthetic Biology to Signal Between Cells and Electrodes | bab | RMH | Scoop.it

Bioelectronic systems that enable seamless communication between electronic devices and living systems represent a transformative frontier in biotechnology. Among available methodologies, redox based signaling offers unique advantages due to its ubiquity in biology and compatibility with standard electrochemical equipment, expanding on existing electrogenetic approaches while simplifying entry requirements for researchers. Here, we developed a modular phenazine-based system that enables bidirectional redox communication between electronic devices and engineered bacterial populations using commercially available electrodes. Our system integrates readily into existing synthetic biology frameworks and leverages phenazine modifications to modulate signal reception across biological and electronic domains. We structured our design around four modular components within a communication channel framework: (1) electronic signal encoding via electrochemically generated hydrogen peroxide that activates engineered cells to produce quorum sensing molecules, (2) biological signal transmission through phenazine biosynthesis controlled by a single regulatory target (PhzF), (3) dual-domain signal reception via both SoxRS-responsive biological circuits and direct electrochemical detection, and (4) controllable noise through phenazine-specific degradation enzymes. We demonstrate proportional control over phenazine production with linear relationships between electronic inputs and both biological and electrochemical outputs. This modular approach establishes phenazines as versatile bridges between electronic and biological information processing, providing accessible tools for practical bioelectronic systems with applications in environmental monitoring, adaptive biomanufacturing, and responsive biomedical devices.

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bentley we

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Planetary microbiome structure and generalist-driven gene flow across disparate habitats | CEL

Planetary microbiome structure and generalist-driven gene flow across disparate habitats | CEL | RMH | Scoop.it
Microbes are ubiquitous on Earth, forming microbiomes that sustain macroscopic life and biogeochemical cycles. Microbial dispersal, driven by natural processes and human activities, interconnects microbiomes across habitats, yet most comparative studies focus on specific ecosystems. To study planetary microbiome structure, function, and inter-habitat interactions, we systematically integrated 85,604 public metagenomes spanning diverse habitats worldwide. Using species-based unsupervised clustering and parameter modeling, we delineated 40 habitat clusters and quantified their ecological similarity. Our framework identified key drivers shaping microbiome structure, such as ocean temperature and host lifestyle. Regardless of biogeography, microbiomes were structured primarily by host-associated or environmental conditions, also reflected in genomic and functional traits inferred from 2,065,975 genomes. Generalists emerged as vehicles thriving and facilitating gene flow across ecologically disparate habitat types, illustrated by generalist-mediated horizontal transfer of an antibiotic resistance island across human gut and wastewater, further dispersing to environmental habitats, exemplifying human impact on the planetary microbiome.
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Highly Sensitive Chemigenetic FRET-Based Kinase Biosensors | brvt

Highly Sensitive Chemigenetic FRET-Based Kinase Biosensors | brvt | RMH | Scoop.it

Fluorescent protein-based biosensors have transformed the study of cell physiology and pathology by enabling direct, live-cell measurements of biochemical activities with spatiotemporal precision. FRET-based biosensors offer a quantitative and well-defined readout mechanism popular among researchers, but have struggled to break free of characteristically low dynamic ranges and overall dependence on the cyan-yellow spectral region. Chemigenetic approaches that combine synthetic fluorophores with self-labeling protein tags represent an attractive solution to these longstanding constraints. Here, we pair different fluorescent protein donors with a HaloTag acceptor conjugated to a far-red fluorophore to obtain a suite of highly sensitive, chemigenetic FRET-based kinase activity biosensors with red-shifted emission and unprecedented dynamic range. We demonstrate the generalizability of this chemigenetic platform by developing biosensors for multiple kinases, as well as small GTPases and second messengers, all while maintaining high sensitivity. The high sensitivity and spectral tunability of these chemigenetic tools enabled us to perform robust multiplexed activity imaging of receptor-mediated signaling networks to quantitatively map isoform-specific coupling by GPCRs, as well as clear visualization of kinase activity in acute brain slices via two-photon fluorescence lifetime imaging. Our chemigenetic sensor toolkit thus provides the sensitivity and dimensionality needed to illuminate the spatiotemporal regulation of signaling networks in cells and tissues.

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rhodamine-labeled HaloTag

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Chemical inhibition of INO1 reduces phytic acid in rice and wheat grains for enhanced micronutrient bioavailability | Nfd

Chemical inhibition of INO1 reduces phytic acid in rice and wheat grains for enhanced micronutrient bioavailability | Nfd | RMH | Scoop.it

Phytic acid (PA), the major phosphorus storage compound in cereal grains, chelates essential minerals such as iron and zinc, thereby preventing their absorption in the human intestine and contributing to micronutrient deficiencies. Myo-inositol 3-phosphate synthase 1 (INO1) is a key enzyme in PA biosynthesis, catalysing the pathway’s first step and determining PA contents in cereal grains. Although the genetic modification of PA biosynthesis enzymes can reduce PA levels in grains by disrupting enzyme function, it often impairs germination and seedling growth. Here we used a plant chemical biology approach targeting INO1 to reduce PA levels in rice (Oryza sativa L.) and wheat (Triticum aestivum L.) through chemical intervention. From over 1,000 molecules, candidate compounds were identified on the basis of biophysical or biochemical screening. When applied to developing seeds in panicles or spikes, these selected compounds reduced the PA content in grains of rice and wheat. This study presents a strategy for developing low-PA crops and contributes to global efforts to reduce malnutrition. Phytic acid chelates essential minerals, reducing their bioavailability in cereal-based diets. This study proposes a scalable, species-independent chemical approach that targets myo-inositol 3-phosphate synthase 1 (INO1), a key enzyme in phytic acid biosynthesis, to lower its levels in rice and wheat without affecting plant growth or yield.

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Genetically-Programmed Hypervesiculation of Lactiplantibacillus Plantarum Increases Production of Bacterial Extracellular Vesicles with Therapeutic Efficacy in a Preclinical Inflammatory Bowel Dise...

Genetically-Programmed Hypervesiculation of Lactiplantibacillus Plantarum Increases Production of Bacterial Extracellular Vesicles with Therapeutic Efficacy in a Preclinical Inflammatory Bowel Dise... | RMH | Scoop.it

Inflammatory bowel diseases (IBD) affect over 6 million people globally and current treatments achieve only 10-20% rates of durable disease remission. Bacterial extracellular vesicles (BEVs) from probiotic lactic acid bacteria (LAB) are a promising novel therapeutic with mechanisms holding potential to drive increased rates of durable disease remission, including immunomodulation and intestinal epithelial tissue repair. However, translation of these cell-secreted nanovesicles is limited by long standing biomanufacturing hurdles, especially low production yields due to low biogenesis rates from cells. Here, Lactiplantibacillus plantarum is identified as a candidate LAB producing BEVs effective in treating acute dextran sulfate sodium (DSS)-induced murine colitis with greater efficacy than BEVs from probiotic E. coli Nissle 1917. Genetic engineering of L. plantarum to create a hypervesiculating strain via inducible expression of a peptidoglycan-modifying enzyme is shown to enable a 66-fold increase in BEV productivity. Finally, hypervesiculating L. plantarum BEVs are confirmed to be therapeutically effective in the acute DSS mouse model of colitis, with superior reduction of mucosal tissue damage compared to live L. plantarum cells. These findings demonstrate that BEVs from genetically engineered hypervesiculating strain of L. plantarum are a promising preclinical therapeutic candidate for IBD that overcomes historical biomanufacturing limitations of BEV therapeutics.

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omv, 1str

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Engineered biosynthesis of hyaluronic acid in Corynebacterium glutamicum and green synthesis of HA-silver nanocomposites for advanced antimicrobial wound dressings | Srep

Engineered biosynthesis of hyaluronic acid in Corynebacterium glutamicum and green synthesis of HA-silver nanocomposites for advanced antimicrobial wound dressings | Srep | RMH | Scoop.it

Antibiotic resistance, a growing global challenge, is predicted to cause millions of deaths in the near future. Innovative antibacterial wound dressings loaded with natural substances that have restorative effects can serve as alternatives conventional medicine. This research aims to investigate the antibacterial properties of electrospun nanofibers containing different proportions of chitosan, collagen, and hyaluronic acid-silver nanocomposite. Silver nanoparticles (Ag NPs) were synthesized via a green, solvent‑free method, with hyaluronic acid (HA) obtained from recombinant Corynebacterium glutamicum fermentation serving as the natural reducing agent. with its production optimized using a full factorial design, resulting in a 26% yield increase under conditions of 10 g/L yeast extract, 20 g/L soy protein, and 400 mg/L MgSO₄. The purity of HA obtained from microbial fermentation was measured by Fourier-Transform Infrared spectroscopy. Silver nitrate concentrations of 0.01, 0.1, and 1 M were considered to synthesize nanoparticle precursors. Spectrophotometry and Dynamic Light Scattering analyses showed that 0.1 M AgNO3 produced nanoparticles with an average size of 98.5 nm. Scanning Electron Microscopy revealed that the nanofibers had a coherent and uniform structure. Antibacterial activity was evaluated against E. coli and Staphylococcus aureus. Nanofibers with 1:1:1 and 0.5:1:1 ratios (HA-Ag: collagen: chitosan) inhibited S. aureus growth, producing inhibition zones of 1.4 cm and 1.0 cm, respectively, but showed no effect against E. coli. Cytotoxicity assessment using L929 fibroblast cells through MTT assay indicated cell viabilities of approximately 85% and 70% for the active formulations, suggesting acceptable biocompatibility. Overall, the developed nanocomposite-loaded nanofibers show potential for application against antibiotic-resistant wound infections caused by Gram-positive bacteria.

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Self-Assembling Nanoparticle Enhances RNA Interference Efficiency against Hyphantria Cunea (Drury) with Minimal Risk to Nontarget Organisms | acs

Self-Assembling Nanoparticle Enhances RNA Interference Efficiency against Hyphantria Cunea (Drury) with Minimal Risk to Nontarget Organisms | acs | RMH | Scoop.it

RNA interference (RNAi) represents a promising approach for insect pest management; however, its application in Lepidoptera is constrained by double-stranded RNA (dsRNA) instability, limited cellular uptake, and inefficient RNAi machinery. In this study, we developed a bacteriophage MS2 virus-like particle (VLP)-based delivery platform for hairpin RNA (hpRNA) targeting the invasive pest Hyphantria cunea. When expressed in E. coli, MS2 VLPs efficiently encapsulate hpRNA, markedly enhancing its resistance to nuclease activity and environmental degradation. In addition, surface display of the HIV trans-activator of transcription (TAT) peptide on MS2 VLPs significantly improved cellular internalization of hpRNA, resulting in robust RNAi-mediated gene silencing in H. cunea at low hpRNA doses. Importantly, no adverse effects were detected in three nontarget organisms: Clostera restituraPlagiodera versicolora, and the parasitoid Chouioia cunea. Together, these results demonstrate that the MS2-hpRNA system represents a scalable, effective, and environmentally safe strategy for RNA-based pest control.

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2st, MS2 particles significantly enhance intracellular transduction efficiency through innovative phage surface display combined with cell-penetrating peptides (CPPs), such as the Trans-Activator of Transcription (TAT) peptide from human immunodeficiency virus HIV-1. 

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Protein-inducible ribosomal frameshifting enables programmable translational control for genetic circuit design in Escherichia coli | Jbe

Protein-inducible ribosomal frameshifting enables programmable translational control for genetic circuit design in Escherichia coli | Jbe | RMH | Scoop.it

Programmed ribosomal frameshifting (PRF) is a translational mechanism that enables the ribosome to shift reading frames and access alternative coding sequences. PRF occurs naturally in a wide range of organisms, including viruses, bacteria, and eukaryotes, where it supports compact encoding and stoichiometric control of protein expression. Despite the great potential of PRF in synthetic circuit designs, a broader adoption of PRF in circuit designs has been hampered by rather strict sequence constraints and structural requirements. This work introduces a synthetic translational regulatory platform, protein-inducible ribosomal frameshifting (PIRF), by integrating aptamer–protein interactions with a − 1 PRF motif to enable regulated translation in E. coli. PIRF modules respond to intracellular RNA-binding proteins such as PP7 and MS2, triggering frameshifting in a condition-dependent manner. PIRF could be used to program logic gate operations through frame-dependent translation and enable multilayered regulation in synthetic circuits. Further, the flexible PIRF designs enable reading frame-dependent control of fusion protein expression, protein aggregation, and periplasmic localization via strategic positioning of peptide tags and protein coding sequences. While PIRF enabled regulated frameshifting and could be flexibly reconfigured for a variety of circuits and applications, a measurable level of basal frameshifting was often observed, which may require additional strategies for further optimization in the future. Together, PIRF supports applications in programmable and logical control of downstream protein expression, including condition-dependent aggregation and regulated subcellular localization. PIRF provides a compact and genetically encoded strategy for programmable protein-level regulation, expanding the synthetic biology toolkit for translational control, biosensing and biotherapeutics.

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gene exp control. mode of regulation. 2st,  Binding of the RBP to its cognate aptamer induces a structural rearrangement in the RNA, modulating the accessibility and stability of the downstream stem-loop required for efficient −1 frameshifting. In the absence of the RBP, the ribosome remains in the 0 frame and typically encounters an early stop codon; upon RBP induction, frameshifting occurs with increased probability, allowing the ribosome to bypass the premature stop codon and translate the full-length downstream protein. 

in the presence of cognate RBP, RBP-aptamer binding stabilizes the aptamer into a well-defined stem-loop structure, thereby helps stalling the ribosome and promoting -1 frameshifting at the upstream slippery site.

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Regenerative base editing enables deep lineage recording | brvsb

Regenerative base editing enables deep lineage recording | brvsb | RMH | Scoop.it

Reconstructing the lineage histories of individual cells can reveal the dynamics of developmental and disease processes. In engineered recording systems, cells stochastically edit synthetic barcode sequences as they proliferate, creating distinct, heritable edit patterns that can be used to reconstruct the lineage trees relating individual cells in a manner analogous to phylogenetic reconstruction. However, recording depth is often limited by the kinetics of the editing process: the rate of editing declines exponentially over time for an array of independently editable targets, leading to most edits occurring in early generations. Here, we introduce the hypercascade, a regenerative molecular recording system that takes advantage of the predictability of A-to-G base editing to progressively create new target sites over time. The hypercascade packs 4 editable target sites in every 20 bp of sequence, enabling high density information storage. More importantly, the hypercascade's regenerative logic leads to an approximately constant rate of mutation accumulation over time. This in turn facilitates reconstruction of deep lineage relationships. We demonstrate this by reconstructing trees spanning 23 days of editing and approximately 17 generations after a single polyclonal engineering step. Finally, simulations show that the hypercascade has the potential to record chromatin state transition dynamics across multiple genomic loci in parallel. The hypercascade thus provides a flexible and broadly useful tool for molecular recording.

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elowitz, 2st

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February 8, 12:37 AM
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RBPscan: A quantitative in vivo tool for profiling RNA-binding protein interactions | mcell

RBPscan: A quantitative in vivo tool for profiling RNA-binding protein interactions | mcell | RMH | Scoop.it
RNA-binding proteins (RBPs) are essential regulators of gene expression at the post-transcriptional level, yet obtaining quantitative insights into RBP-RNA interactions in vivo remains challenging. Here, we developed RBP specificity and contextual analysis via nucleotide editing (RBPscan), which integrates RNA editing with massively parallel reporter assays to profile RBP binding in vivo. In RBPscan, fusion of an RBP to the adenosine deaminase acting on RNA (ADAR) catalytic domain induces RNA editing of a recorder mRNA carrying the tested RBP-binding site, serving as a readout of the RBP-RNA interaction. We demonstrate the utility of RBPscan in zebrafish embryos, human cells, and yeast, showing that it quantifies binding strength, resolves dissociation constants, identifies binding motifs for various RBPs, and links binding affinities to their impact on mRNA stability. RBPscan also provides positional mapping of Pumilio-binding sites in the long non-coding RNA NORAD. With its simplicity, scalability, and cross-system compatibility, RBPscan is a versatile tool for investigating protein-RNA interactions and complements established methods for studying post-transcriptional regulatory networks.
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3st, gene exp tool

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February 8, 12:29 AM
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Carbon–phosphorus exchange rate constrains density–speed trade-off in arbuscular mycorrhizal fungal growth | pnas

Carbon–phosphorus exchange rate constrains density–speed trade-off in arbuscular mycorrhizal fungal growth | pnas | RMH | Scoop.it
Symbiotic nutrient exchange between arbuscular mycorrhizal (AM) fungi and their host plants varies widely depending on their physical, chemical, and biological environment. Yet dissecting this context dependency remains challenging because we lack methods for tracking nutrients such as carbon (C) and phosphorus (P). Here, we developed an approach to quantitatively estimate C and P fluxes in the AMF symbiosis from comprehensive network morphology quantification, achieved by robotic imaging and machine learning based on roughly 100 million hyphal shape measurements. We found that rates of C transfer from the plant and P transfer from the fungus were, on average, related proportionally to one another. This ratio was nearly invariant across AMF strains despite contrasting growth phenotypes but was strongly affected by plant host genotype. Fungal phenotype distributions were bounded by a Pareto front with a shape favoring specialization in an exploration–exploitation trade-off. This means AMF can be fast range expanders or fast resource extractors, but not both. Manipulating the C/P exchange rate by swapping the plant host genotype shifted this Pareto front, indicating that the exchange rate constrains possible AMF growth strategies. We show by mathematical modeling how AMF growth at fixed exchange rate leads to qualitatively different symbiotic outcomes depending on fungal traits and nutrient availability.
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r-2st

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Antisense oligonucleotides targeting transcription termination windows disrupt mRNA 3′ end processing and decrease gene expression | brvbe

Antisense oligonucleotides targeting transcription termination windows disrupt mRNA 3′ end processing and decrease gene expression | brvbe | RMH | Scoop.it

Antisense oligonucleotides (ASOs) are short, synthetic nucleic acids that bind to complementary RNA sequences and alter gene expression, making them versatile therapeutic agents. Here, we identify transcription termination windows of protein-coding genes as previously unrecognized targets for ASOs. We show that ASOs can act on nascent RNA synthesised downstream of the annotated genes, leading to a pronounced decrease in the corresponding mRNA levels. These downstream-of-gene ASOs (DG-ASOs) induce RNase H1-dependent cleavage, impairing mRNA 3′ end processing, directing the unprocessed mRNAs for exosome-dependent degradation and creating early entry points in the nascent RNA for the XRN2 exonuclease termination factor. Altogether, we show that termination windows are genuine ASO targets which can be exploited to suppress gene expression. Importantly, we also reveal an underappreciated source of off-target effects which may arise from ASOs binding downstream of genes. Our findings indicate the necessity to expand ASO design and off-target assessment guidelines to include termination window sequences, thereby improving therapeutic efficacy and safety.

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In normal conditions, nascent RNA is cleaved by CPF over the PAS sequence and the newly created 5’ end is attacked by exonuclease XRN2, which chases transcribing Pol II, effectively terminating transcription.  In the cells treated with DG-ASO, RNase H1-dependent co-transcriptional cleavage outcompetes CPF inhibiting its ability to cleave at the PAS. As a result, the entry for XRN2 is created earlier, which may contribute to the faster transcription termination. The faulty, unprocessed 3' pre-mRNA is polyadenylated and degraded by the exosome. 

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Engineering of multiple modules to enhance lignocellulose degradation ability in Bacillus subtilis using CRISPR/Cas9 system | ssb

Engineering of multiple modules to enhance lignocellulose degradation ability in Bacillus subtilis using CRISPR/Cas9 system | ssb | RMH | Scoop.it
Bacillus subtilis is widely employed for lignocellulose degradation. However, wild-type strains typically exhibit low and incomplete cellulase activities. This study aimed to engineer recombinant B. subtilis strains harboring complete, high-efficiency cellulase systems using CRISPR/Cas9-mediated genome editing. After optimization of signal peptides, transcriptional terminators, and chromosomal integration sites, two endoglucanase expression cassettes were integrated into B. subtilis 168, yielding a strain with a 16.29-fold increase in endoglucanase activity relative to the parental strain. In parallel, a bifunctional cellulase was successfully expressed and optimized, achieving exoglucanase (549.77 U/mL) and β-glucosidase (349.26 U/mL) activities. Moreover, the strain BSKI3Cel, containing three optimized expression cassettes in its genome, exhibited high endoglucanase (129.59 U/mL), exoglucanase (596.75 U/mL), and β-glucosidase (447.42 U/mL) activities. Subsequent transformation of BSKI3Cel with plasmid pJOE2006Bf, carrying genes encoding a composite cellulase system, yielded BSK3P2C, which achieved peak cellulase activities of 533.16, 2959.83, and 2829.61 U/mL on day 8. As a proof of concept, fermentation of wheat straw using BSK3P2C was found to significantly reduce hemicellulose (16.70 %), neutral detergent fiber (7.46 %) and acid detergent fiber (9.93 %) contents. Microscopic analyses confirmed extensive lignocellulose degradation. Overall, this study establishes a high-performance B. subtilis platform with complete cellulase systems for efficient cellulosic biomass conversion.
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