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Designing a high-resolution, LEGO-based microscope for an educational setting | Brvm

Designing a high-resolution, LEGO-based microscope for an educational setting | Brvm | RMH | Scoop.it

Microscopy is an essential tool in many fields of science. However, due to their costs and fragility, the usage of microscopes is limited in classroom settings and nearly absent at home. In this article we present the construction of a microscope using LEGO® bricks and low-cost, easily available lenses. We demonstrate that the obtained magnification and resolution are sufficient to resolve micrometer-sized objects and propose a series of experiments that explore various biophysical principles. Finally, a study with students in the age range of 9 to 13 shows that the understanding of microscopy increases significantly after working with the LEGO microscope.

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Ectomycorrhizal fungi recruit hyphae-associated bacteria that metabolize thiamine to promote pine symbiosis | isme

Ectomycorrhizal fungi recruit hyphae-associated bacteria that metabolize thiamine to promote pine symbiosis | isme | RMH | Scoop.it

Ectomycorrhizal fungi form symbiotic relationships with a wide range of terrestrial plants, acquiring carbohydrates for themselves and promoting nutrient uptake in their host plants. However, some ectomycorrhizal fungi cannot effectively obtain the thiamine necessary for growth from their host or synthesize it themselves. Ectomycorrhizal fungi can recruit hypha-associated microorganisms, which play a vital role in promoting nutrient absorption and ectomycorrhizal root formation, ultimately colonizing within fruiting bodies to form a unique bacterial microbiota. In this study, non-targeted metabolomics and whole-genome sequencing were employed to investigate the colonization characteristics of the hyphae-associated bacterium Bacillus altitudinis B4 on the mycelial surface of ectomycorrhizal fungus Suillus clintonianus, as well as the synergistic promotion of thiamine synthesis and absorption by B. altitudinis B4 and the fungal mycelium, respectively. The results suggested that S. clintonianus first secreted ureidosuccinic acid and pregnenolone, recruiting the hyphae-associated bacterium B. altitudinis B4 to the mycelial surface. Subsequently, the ureidosuccinic acid secreted by S. clintonianus further stimulated B. altitudinis B4 to enhance thiamine production by increasing its biomass and upregulating the expression of related functional genes. Finally, S. clintonianus absorbed the thiamine secreted by the B. altitudinis B4, promoting fungal growth and increasing the colonization rate in association with Pinus massoniana. This study elucidates the thiamine acquisition mechanisms of ectomycorrhizal fungi, highlighting the critical role of bacterial partners in fungal nutrition and host-fungal interactions.

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The Role of Natural Product Chemistry in Drug Discovery: Two Decades of Progress and Perspectives | acs

The Role of Natural Product Chemistry in Drug Discovery: Two Decades of Progress and Perspectives | acs | RMH | Scoop.it

Natural products (NPs) have long played a pivotal role in medicine, serving as both lead compounds and approved drugs in diverse therapeutic areas. Inspired by the 2004 review “The Role of Natural Product Chemistry in Drug Discovery”, we adopted a data-driven approach to assess the current role of NPs in drug discovery. We identified 119 NP-derived (NP-D) drugs, including 16 antibody-drug conjugates (ADCs), that were first approved globally between January 2000 and September 2025. Their development timelines, source organisms, manufacturing methods, indications, and routes of administration were analyzed. Six NP-D case studies illustrating successful progression from discovery to clinical use were highlighted: omaveloxolone (novel pharmacology, first-in-class), fidaxomicin, ibrexafungerp, epoxomicin, eribulin (known pharmacology, new drug class), and the gliflozin drug family (13 members). We also examined the presence and sales of NP-D agents among the top 200 brand name drugs in 2006, 2015, and 2024. Although overall NP-D drug sales have declined, dapagliflozin and empagliflozin demonstrate that blockbuster status is still achievable. While growth is modest, NPs remain highly valuable active pharmaceutical ingredients (APIs) with substantial clinical impact. Significant opportunities persist for drug-focused NP R&D efforts, as many recently validated therapeutic targets remain underexplored for NP-D chemotypes.

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2st, industry, trial 

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Metabolic Engineering of Escherichia coli for High-Yield Production of l-Homoserine Using Glycerol as a Sole Carbon Source | acs

Metabolic Engineering of Escherichia coli for High-Yield Production of l-Homoserine Using Glycerol as a Sole Carbon Source | acs | RMH | Scoop.it

l-Homoserine, a nonproteinic amino acid with extensive applications, holds significant potential for sustainable production via a cell factory, particularly with the nongrain feedstock glycerol. Here, Escherichia coli was systematically engineered to enhance l-homoserine production using glycerol as an alternative carbon source. Initially, we truncated homoserine kinase (ThrB) to avoid l-homoserine degradation and support cell growth. Subsequently, the main synthesis pathway was strengthened by limited-step gene overexpression and protein scaffold strategies. With further reprogramming of the glycerol assimilation pathway and heterologous introduction of the Entner–Doudoroff pathway to balance cofactor supply, an l-homoserine hyperproducer HZ23/p99ArhtB could achieve a titer of 90.21 g/L, with a yield of 0.49 g/g glycerol and a productivity of 1.50 g/L/h. Our study demonstrated the potential of glycerol as a sustainable feedstock for high-yield production of l-homoserine and provides a robust framework for the industrial-scale production of this important precursor.

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To further increase the flux from PEP to l-aspartate, we designed an SH3D tagged ppc and an SH3L tagged aspC as a synthetic protein scaffold

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Transient analysis and engineering of bacterial metabolic pathways using cell-penetrating peptide-peptide nucleic acid conjugates | Mcf

Transient analysis and engineering of bacterial metabolic pathways using cell-penetrating peptide-peptide nucleic acid conjugates | Mcf | RMH | Scoop.it

Conventional genetic engineering approaches for bacterial metabolic pathway manipulation, although highly applicable, still face limitations including metabolic burden, irreversibility, and dependency on host cellular machinery. Cell-penetrating peptide-peptide nucleic acid conjugates (CPP-PNAs), known for their applicability as antibacterial tools and in the elucidation of protein function, offer a promising alternative to overcome such limitations. Since the application of CPP-PNA in metabolic engineering and pathway elucidation remains largely unexplored, we developed and validated a CPP-PNA platform using Synechocystis sp. PCC 6803 as a model system to demonstrate targeted metabolic pathway evaluation. High compatibility and dose-dependent permeation efficiency in strain PCC 6803 was first observed when the amphipathic CPP (KFF)₃K was employed, achieving clear cell growth inhibition at 10 µM and above. Specific targeting of D-lactate dehydrogenase (Ddh) using CPP-Syn6803ddh conjugates achieved near-complete protein translation knockdown within 24 h, as confirmed by Western blot analysis. Metabolomics analysis using LC-MS on predetermined metabolites revealed that CPP–PNA treatment produced metabolic effects comparable to stable genetic knockout strains, with both approaches showing a significant 2.5-fold increase in pyruvate accumulation compared to wild-type controls. Further elucidating the reason for pyruvate accumulation, we observed compensatory activation of the glyoxalase pathway at 48 h post-treatment, resulting in 3-fold increased D-lactate production presumably through methylglyoxal detoxification. Validating this observation, RT-qPCR analysis confirmed 2-3-fold upregulation of the glyII gene, encoding for the glyoxalase II (GlyII) enzyme, in both CPP-PNA treated and knockout strains, while double CPP-PNA inhibition experiments targeting both Ddh and glyoxalase pathways suppressed D-lactate accumulation. This study establishes CPP-PNAs as efficient tools for rapid, and simple metabolic pathway investigation. The approach produces results comparable to conventional genetic knockouts while offering dose-dependent control and avoiding permanent genomic alterations. Our findings reveal unexpected metabolic complexity in Synechocystis sp. PCC 6803 D-lactate synthesis under light conditions and demonstrate the utility of CPP-PNA for uncovering compensatory pathway activation. This platform represents a valuable addition to bacterial genetic engineering, addressing some of the critical limitations faced by conventional approaches, while showing potential for further understanding the biochemistry of metabolite-producing bacteria.

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tool, 1str

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Cross-kingdom gene transfer as a driver of land plant evolution | Cin

Cross-kingdom gene transfer as a driver of land plant evolution | Cin | RMH | Scoop.it
Land plant evolution has been marked by bursts of novelty, often underpinned by extensive genomic innovation. A key mechanism driving these changes is horizontal gene transfer (HGT), the process by which genes move between species and even across taxonomic kingdoms. HGT can accelerate evolutionary change through the rapid introduction of new genes yet its importance in plant biology is only beginning to be understood. Here, we review the functional contributions of HGT during the origin and diversification of land plants. We discuss the occurrence of HGT throughout plant evolution and its impact on the origin of defining traits from cell walls to developmental programs. Beyond ancient contributions, HGT continues to drive the emergence of lineage-specific innovations. Recently acquired bacterial and fungal genes make complex functional contributions to processes including stress response, pathogen defence, and development across plant phylogeny. These observations suggest that HGT was, and continues to be, a major force shaping plant evolution, exemplifying the potential significance of HGT in eukaryotic biology more broadly.
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Designer RNA nanostructures co-transcribed and self-assembled inside human cell nuclei | Ncm

Designer RNA nanostructures co-transcribed and self-assembled inside human cell nuclei | Ncm | RMH | Scoop.it

The use of nucleic acid-based nanostructures as synthetic biological tools to interface with and regulate cell processes remains challenging. A major obstacle lies in nuclear delivery and retention within live eukaryotic cells. Here, we present a platform of single-stranded RNAs that can co-transcriptionally fold into defined nanostructures and assemble into rings, ribbons, and nanonet-like architectures. We validate the formation of these structures in vitro using atomic force microscopy. Then, we demonstrate the functional integration of fluorescent aptamers and RNA sensing capability within the single chain by co-folding with these structures. Notably, we show that the RNA nanonets can be co-transcriptionally produced and assembled directly inside the nucleus of live human cells. We use confocal live-cell imaging and transmission electron microscopy to reveal well-defined nanostructure patterns retained in the nucleus. Together, these results establish a genetically encoded, self-assembling RNA nanostructure system with programmable geometry and localization, providing a foundation for the development of RNA-based nanodevices to examine biological properties in live cells and tissues. The use of nucleic acid-based nanostructures as synthetic biological tools remains challenging. Here they present synthetic RNA structures that fold and self-assemble inside human cell nuclei, offering a platform for imaging, sensing, and future therapeutic applications.

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tool

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Multistep genomics on single cells and live cultures in subnanoliter capsules | sci

Multistep genomics on single cells and live cultures in subnanoliter capsules | sci | RMH | Scoop.it
Single-cell sequencing methods uncover natural and induced variation between cells. Many functional genomic methods, however, require multiple steps that cannot yet be scaled to high throughput, including assays on living cells. Here we develop capsules with amphiphilic gel envelopes (CAGEs), which selectively retain cells and large analytes while being freely accessible to media, enzymes and reagents. Capsules enable high-throughput multistep assays combining live-cell culture with genome-wide readouts. We establish methods for barcoding CAGE DNA libraries, and apply them to measure persistence of gene expression programs in cells by capturing the transcriptomes of tens of thousands of expanding clones in CAGEs. The compatibility of CAGEs with diverse enzymatic reactions will facilitate the expansion of the current repertoire of single-cell, high-throughput measurements and their extension to live-cell assays.
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tool, droplet hydrogel, 2st

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Downstream Processing of Food Proteins from Precision Fermentation | anR

Downstream Processing of Food Proteins from Precision Fermentation | anR | RMH | Scoop.it

Precision fermentation uses microorganisms (e.g., yeast, bacteria, or fungi) to produce ingredients such as food proteins. These proteins are promising animal-free alternatives due to their ability to better mimic the texture and taste of animal-derived products than do plant proteins. However, conventional purification methods, such as chromatography, are costly and designed for high-purity, high-value products. Cost-effective production of bulk food proteins (e.g., milk or egg proteins) requires alternative downstream approaches. This review explores more affordable processing strategies suitable for recombinant food proteins. Emphasis is placed on achieving ingredient functionality, such as emulsifying, foaming, and gelation, over purity to reduce energy use and material losses. Alternative methods, including coacervation with food-grade polyanions, are discussed. Some approaches focus on the unique properties of food proteins, such as the calcium sensitivity of α- or β-caseins, to enable simplified extraction. Many of these strategies are at the conceptual stage and require further research.

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Cas9-Embedding Hyperactive TadA8e Confers Efficient and Highly Specific A-To-G Base Editing in Rice | pbj

Cas9-Embedding Hyperactive TadA8e Confers Efficient and Highly Specific A-To-G Base Editing in Rice | pbj | RMH | Scoop.it

Adenine base editors (ABEs) produce precise A-to-G conversion in the genomic target sites without causing double-strand breaks. However, the hyperactive adenosine deaminase TadA8e raises safety concerns on genome-wide off-target edits. We engineered 11 chimeric proteins for ABEs (CP-ABEs) by embedding hyperactive TadA8e within Cas9 nickase to minimise the sgRNA-independent off-target effects. Four CP-ABEs exhibited robust on-target activity with minimal sgRNA-independent off-target edits. Then we developed four chimeric high-fidelity ABEs (CH-ABEs) to minimise both sgRNA-dependent and sgRNA-independent off-target effects by employing high-fidelity Cas9 variants. The CH-ABEs achieved reductions of up to 7.0-fold and 79.4-fold in the respective off-target edits, while generating 22.0%–72.4% homozygous and biallelic rice mutants. Whole-genome and whole-transcriptome sequencing (WGS/WTS) confirmed the specificity of CH-ABEs. Incorporating Sniper2L into CH-ABEs further enhanced both specificity and on-target activity. Two PAM-less SpRY variants (SpRY-K2, SpRY-KK) expanded the targeting scope of CP-ABEs and boosted activity by 80.0%. Furthermore, we demonstrated that CP-ABE8e-RYKK could discriminate paralogous targets in rice and successfully applied it to create herbicide-resistant rice by precisely installing the OsALS-K591E mutation.

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MegaPlantTF: A Machine Learning Framework for Comprehensive Identification and Classification of Plant Transcription Factors | bft

MegaPlantTF: A Machine Learning Framework for Comprehensive Identification and Classification of Plant Transcription Factors | bft | RMH | Scoop.it

Understanding the role of transcription factors (TFs) in plants is essential for the study of gene regulation and various biological processes. However, both TF detection and classification remain challenging due to the great diversity and complexity of these proteins. Conventional approaches, such as BLAST, often suffer from high computational complexity and limited performance on less common transcription factor families.  We introduce MegaPlantTF, the first comprehensive machine learning and deep learning framework for the prediction (TF vs. non-TF) and classification (family-level) of plant transcription factors. Our method employs k-mer–based protein representations and a two-stage architecture combining a deep feed-forward neural network with a stacking ensemble classifier. To ensure robust performance assessment, we report micro-, macro-, and weighted-average performance metrics, providing a holistic evaluation of both frequent and underrepresented TF families. Additionally, we employ threshold-based evaluation to calibrate confidence in TF detection. The results show that MegaPlantTF achieves strong accuracy and precision, particularly with a k-mer size of 3 and a classification threshold of 0.5, and maintains stable performance even under stringent thresholds. In addition to the standard cross-validation tests, a use case study on Sorghum bicolor confirms that our method performs strongly in the genome-wide analysis, making it highly suitable for large-scale TF identification and classification tasks. MegaPlantTF represents a novel contribution by integrating k-mer encoding, binary family-specific classifiers, and a two-stage stacking ensemble into a unified, reproducible framework for large-scale plant TF identification and classification.

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Construction of probiotic Escherichia coli Nissle 1917 as a next-generation expression platform and its application in therapeutic protein production | Jbe

Biologics produced in Escherichia coli BL21(DE3) require rigorous removal of lipopolysaccharide (LPS), since even traces can trigger severe immune responses and potentially fatal sequelae in humans. In contrast, the clinically licensed probiotic Escherichia coli Nissle 1917 (EcN) is inherently LPS-deficient, displaying only 0.86% of the LPS activity observed in BL21(DE3). Due to its markedly reduced immunostimulatory activity, EcN is an attractive chassis for manufacturing proteins with minimal LPS burden. On the basis of the constructed strain EcN::T7 by inserting the T7 RNA polymerase gene into chromosome, using GFP as a model protein, this strain produced only 30% of the yield obtained from BL21(DE3) because both cell density (OD₆₀₀) and per-cell productivity were lower. To boost intracellular protein synthesis, we then used CRISPR/Cas9-mediated genome editing technology to knock out ompTiclR, and arcA, yielding the high-producer EcN::T7ΔompTΔiclRΔarcA. This triple-deletion mutant produced 3.2-fold more reporter protein than its parental strain EcN::T7, reaching 70% of the BL21(DE3) output. When this strain was used to produce recombinant IFNα-2b, the final protein yield reached 89.3% of that achieved in BL21(DE3). Even without extra endotoxin-removal steps, the IFNα-2b purified from EcN::T7ΔompTΔiclRΔarcA contained the same low level as the product from the BL21(DE3) that had been through extensive downstream cleaning. By eliminating the need for costly LPS removal, the engineered EcN::T7ΔompTΔiclRΔarcA becomes an economical, clinical-ready biomanufacturing platform.

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Fully computational design of PAM-relaxed Staphylococcus aureus Cas9 with expanded targeting capability | brvbe

Fully computational design of PAM-relaxed Staphylococcus aureus Cas9 with expanded targeting capability | brvbe | RMH | Scoop.it

CRISPR-Cas9 nucleases have transformed genome engineering, yet their application is often constrained by protospacer-adjacent motif (PAM) requirements. Staphylococcus aureus Cas9 (SaCas9) is particularly attractive for in vivo delivery due to its compact size, but its NNGRRT PAM limits targetable genomic sites. Here, we report KRH (E782K/N968R/R1015H), a SaCas9 variant designed entirely through an improved, fully computational protein point-mutation design workflow, UniDesign, without additional experimental optimization. KRH efficiently recognizes the expanded NNNRRT PAM, achieving genome- and base-editing efficiencies comparable to those of the evolution-derived KKH variant across multiple human cell types. Structural and energetic analyses reveal that KRH relaxes PAM specificity by fine-tuning the balance between sequence-specific interactions with PAM bases and nonspecific contacts with the DNA backbone. Beyond its practical utility, KRH demonstrates that computational design can identify a minimal set of mutations sufficient to remodel the PAM interface while preserving high nuclease activity. This approach not only recapitulates evolution-derived performance but also, in some cases, surpasses it, offering a scalable strategy for high-throughput Cas9 variant development. Overall, KRH establishes a blueprint for rationally engineered, PAM-relaxed nucleases and underscores the potential of computational protein design to accelerate next-generation genome editing, complementing traditional molecular evolution approaches.

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cas9 engineering

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The Two Frontiers Project Field Handbook and OpenTools: Standardizing microbial fieldwork for biobank-scale sequencing and culturomics | brvt

From medicines to materials, our planets microbial diversity comprises an enormous wellspring of biotechnological potential. For centuries, microbiologists have developed tools for interrogating microbial function, ranging from microscopy and culturing to, more recently, metagenomics. However, deploying these tools during fieldwork requires substantial forward planning, interdisciplinary technical expertise, and plans for navigating permitting and the ethical implications of bioprospecting. To address these challenges, we built The Two Frontiers Project Handbook and OpenTools Resource, which aggregates our expertise in high-throughput sampling, sequencing, and culturing of microbes from thousands of samples. We provide our full suite of fieldwork methods as well as relevant software and hardware. We lay our standards for team roles and construction, general expedition planning, sample transport, permitting, and numerous other key aspects of executing a successful field campaign. The version-controlled resource is available at https://two-frontiers-project.github.io/ and is open for non-commercial use.

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environmental sample methods, standardization

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Metabolite interactions mediate beneficial alliances between Bacillus and Trichoderma for effective Fusarium wilt control | isme

Metabolite interactions mediate beneficial alliances between Bacillus and Trichoderma for effective Fusarium wilt control | isme | RMH | Scoop.it

Bacteria-Fungi Interactions play a crucial role in soil nutrient cycling and plant disease suppression. Bacillus and Trichoderma exhibit antagonism when inoculated on laboratory media, global soil sample analysis reveals a positive correlation between these two genera in addition to enhanced plant-pathogen Fusarium oxysporum suppression and plant growth promotion. Here, we assess cross-kingdom interactions within artificial model communities of Bacillus velezensis and Trichoderma guizhouense. Transcriptomic profiling revealed that in the presence of fungi, the key stress sigma factor of B. velezensis activates expression of biosynthetic genes for antimicrobial secondary metabolite production. Among these, surfactin induces T22azaphilone production in T. guizhouense that hinders oxidative stress. Both surfactin and T22azaphilone contribute to Bacillus and Trichoderma maintenance in soil in the presence of Fusarium oxysporum. Finally, Fusarium oxysporum-secreted fusaric acid temporarily inhibits B. velezensis growth whereas it is efficiently degraded by T. guizhouense. These metabolite-mediated interactions reveal how competing soil microorganisms could form effective alliances that ultimately enhance plant protection against soil-borne pathogens.

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Zinc-Mediated Loading and Release of His-Tagged Recombinant Proteins in Self-Assembling Peptide Coacervates | acs

Zinc-Mediated Loading and Release of His-Tagged Recombinant Proteins in Self-Assembling Peptide Coacervates | acs | RMH | Scoop.it

The development of tunable systems for subcutaneous injection is currently the focus of exploratory protein formulation. For the delivery of protein biologics intended for extended release, a high fraction of the drug that escapes from the deposition site (“burst release”) may pose safety concerns. Herein, we report an injectable system of bioaffinity zinc-containing peptide coacervates in which recombinant proteins coexpressed with histidine (His)-tags can be captured and released over time. Coacervates are formed by driving self-assembling peptide (SAP), AEAEAKAKAEAEAKAKHHHHHH (EAKH6) β-sheet dimers, into cross-linking fibrils. In the presence of Zn2+, the fibrillization of EAKH6 is enhanced through the interaction of metal ions with histidine residues in the peptide. The Zn2+:EAKH6 scaffold retains His-tagged proteins both in vitro and in vivo and extends their duration of release. The results present a case study in which the Zn2+–[His]6 interaction can be used to tune the properties of supramolecular structures and the loading of His-tagged proteins.

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Traceless Regulation of Genetic Circuitry | advS

Traceless Regulation of Genetic Circuitry | advS | RMH | Scoop.it

The advent of synthetic biology, enabling the construction of synthetic genetic circuitry with designed functionality, has has a revolutionary impact on medicine, agriculture, sustainable energy, and the industrial production of high-value compounds over the last few decades. Gene switches have an indispensable role as regulators of such systems. Despite the early introduction of chemically inducible switches to regulate genetic circuitry, ‘traceless’ physical cues (e.g., light, heat, sound, magnetism, electricity, and mechanical force) can provide greater specificity, higher spatiotemporal resolution, more flexible switching patterns, and better compatibility with bioelectronic interfaces, which is of particular significance given the rise of electrogenetics. Indeed, traceless gene switches are on a path to become universal biological control ports interfacing physiology with the electronic world. In this review, we discuss the impact, challenges, and prospects of physically inducible, traceless gene switches in the context of recent cutting-edge applications.

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Fussenegger m, review
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Enhanced genetic stability and expression control in growth-decoupled continuous two-stage E. coli fermentations using plasmid-dependent thyA auxotrophic selection | mcf

Enhanced genetic stability and expression control in growth-decoupled continuous two-stage E. coli fermentations using plasmid-dependent thyA auxotrophic selection | mcf | RMH | Scoop.it

Continuous two-stage E. coli fermentations offer potential for high-efficiency bioprocesses but are often limited by plasmid instability, genetic mutations, and unintended expression during seed phases. In this study, we aimed to overcome these limitations by employing a plasmid-dependent auxotrophic selection system, specifically using a thymidine auxotrophy (thyA deletion), in conjunction with a series of plasmid modifications to enhance stability and expression control. We engineered the E. coli strain enGenes-eXpress V2 ΔthyA and constructed modified plasmids containing thyA along with regulatory elements to maintain plasmid stability and minimize basal expression. The modified strains were evaluated in continuous two-stage fermentations under carbon-limited conditions. Our results indicate significant reduction in plasmid loss, improved population homogeneity, and suppressed basal expression in non-induced phases. The addition of elements such as the cer (ColE1 resolution) site and a modified T7 promoter further enhanced plasmid stability and reduced basal expression levels. High-throughput screenings in microbioreactor setups confirmed that optimized constructs maintained a homogeneous producing population and suppressed non-producing cells over extended periods, which was validated by fed-batch cultivations and single-cell analyses. Finally, the two most promising constructs demonstrated high robustness in continuous two-stage chemostat fermentations lasting over 1000 h, maintaining stable GFP titers, plasmid concentrations, and cell dry mass throughout the process. Our findings demonstrate that the auxotrophic marker thyA-based selection system, combined with strategic plasmid modifications, can substantially improve the genetic stability and productivity of E. coli in continuous bioprocesses. This approach provides a robust platform for sustainable, antibiotic- free production in industrial biotechnology, highlighting its potential for scale-up in long-term continuous fermentations.

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Gp2 binds to the β′ subunit of the E. coli RNA polymerase and prevents the formation of transcriptionally active σ⁷⁰-dependent promoter complexes, effectively inhibiting host transcription while leaving elongating RNAP complexes unaffected. Controlled expression of Gp2 in the production phase enables inhibition of host transcription, thereby decoupling growth from recombinant protein synthesis and directing cellular resources toward product formation

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General variation in the Fusarium wilt rhizosphere microbiome | Ncm

General variation in the Fusarium wilt rhizosphere microbiome | Ncm | RMH | Scoop.it

The dominant bacteria enriched in the Fusarium wilt plants’ rhizosphere are of increasing interest, as they adapt well to the diseased rhizosphere. However, general information about these bacteria is still lacking. Here, we perform a meta-analysis of Fusarium wilt plants rhizosphere and comprehensive studies to obtain information about the robust variation in the rhizosphere microbiome of Fusarium wilt plants. We demonstrate that Fusarium infection reproducibly changes the rhizosphere bacterial community composition. The rhizosphere microbiomes of Fusarium wilt plants are characterized by the enrichment of Flavobacterium, gene cassettes involved in antioxidant functions related to sulfur metabolism and the root secreted tocopherol acetate. We further isolate antagonistic Flavobacterium anhuiense from the diseased tomato rhizosphere, and reveal that the growth of F. anhuiense and the expression of genes related to carbohydrate metabolism in this strain are significantly stimulated by tocopherol acetate. Furthermore, the inhibitory effect of F. anhuiense against F. oxysporum and F. anhuiense population enhancement by tocopherol acetate are confirmed in planta. The robust variation in the rhizosphere microbiome elucidates key principles governing the general assembly mechanism of the microbiome in the Fusarium wilt plants’ rhizosphere. This study reveals how tomato plants recruit specific bacteria to combat Fusarium wilt. A key bacterium is identified to thrive on root-derived compounds and suppress the fungal pathogen, offering insights into plant-microbe defense alliances.

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Wolbachia-derived small non-coding RNAs exhibit cross-kingdom regulatory effects on host reproduction of a polyphagous mite | iSci

Wolbachia-derived small non-coding RNAs exhibit cross-kingdom regulatory effects on host reproduction of a polyphagous mite | iSci | RMH | Scoop.it
Wolbachia is a ubiquitous endosymbiont in arthropods that produces small non-coding RNAs, which function as regulators in both the bacterium and its host. Although recent studies have shown cross-kingdom communication between Wolbachia and its host through Wolbachia-derived small non-coding RNAs (WsnRNAs), the functions of WsnRNAs have not been systematically examined. Here, we identify WsnRNAs in Wolbachia-infected Tetranychus truncatus Ehara via RNA-seq and investigate their impacts on host reproductive fitness. A total of 12 WsnRNAs were identified, along with their predicted precursors and hairpin structures. The predicted target genes of five highly expressed WsnRNAs are involved in reproductive development, as revealed by enrichment analysis. Inhibition of WsnRNA-744 and WsnRNA-3640 reduced fecundity, whereas inhibition of WsnRNA-6108 promoted it, indicating that different WsnRNAs exert opposing effects on host fecundity. These findings suggest that WsnRNAs mediate host-endosymbiont communication across species and could represent promising targets for Wolbachia-based pest control strategies.
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Multiplex mapping of protein–protein interaction interfaces | pnas

Multiplex mapping of protein–protein interaction interfaces | pnas | RMH | Scoop.it
We describe peptide mapping through Split Antibiotic Resistance Complementation (SpARC-map), a method to identify the probable interface between two interacting proteins. Our method is based on in vivo affinity selection inside a bacterial host and uses high-throughput DNA sequencing to infer probable protein–protein interaction (PPI) interfaces. SpARC-map uses only routine microbiology techniques, with no reliance on specialized instrumentation, dedicated reagents, or reconstituting protein complexes in vitro. SpARC-map can be tuned to detect PPIs over a broad range of affinities, multiplexed to probe multiple PPIs in parallel, and its nonspecific background can be precisely measured, enabling the sensitive detection of weak PPIs. Using SpARC-map, we recover known PPI interfaces in the p21–PCNA, p53–MDM2, and MYC–MAX complexes. We also use SpARC-map to probe the purinosome, the weakly bound complex of six purine biosynthetic enzymes, where no PPI interfaces are known. There, we identify interfaces that satisfy structural requirements for substrate channeling, as well as protein surfaces that participate in multiple distinct interactions, which we validate using site-specific photocrosslinking in live human cells. Finally, we show that SpARC-map results can impose stringent constraints on machine learning–based structure prediction.
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3st, ppi tool,  (A) Pair of interacting bait and prey proteins; prey residues on the bait–prey PPI interface are highlighted. (B) double-stranded DNA (dsDNA) containing the prey CDS is sheared into random fragments and (C) ligated into the bicistronic SpARC vector, in upstream fusion with neoRC. The intact bait protein is fused to neoRN; the fusion terminus depends on the bait. Expression of the bait and prey peptide are under the control of IPTG and aTc inducible promoters. (D) The SpARC library is transformed into Escherichia coli host and selected in the presence of kanamycin. SpARC vectors that express bait-binding prey peptides can result in kanamycin resistance through the reconstitution of neoRN and neoRC fragments into a functional neoR. (E) SpARC vectors from kanamycin-resistant colonies are sequenced, mapped, and analyzed to extract the PPI interface.

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December 26, 3:32 PM
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Finely Tuned CRISPRi Module for Upgrading the Performance of Constitutive Promoters in the Bacillus subtilis Protein Expression System | acs

Finely Tuned CRISPRi Module for Upgrading the Performance of Constitutive Promoters in the Bacillus subtilis Protein Expression System | acs | RMH | Scoop.it

Bacillus subtilis is a critical host for protein production, with many industrial strains relying on strong constitutive promoters. However, this kind of promoter typically imposes a heavy burden on the host from the early stage of fermentation, leading to reduced growth rate and biomass. To overcome the drawbacks of these promoters, we developed a xylose-inducible CRISPRi module to dynamically control the activity of these promoters. The strength of this module was finely tuned via promoter engineering and the xylose concentration. The addition of xylose inhibited the target promoter and favored cell growth at an early stage, while the consumption of xylose recovered the strength of the promoter and facilitated protein expression, resulting in better balance between cell growth and protein production. The yield of a target protein was increased by 38% using this module. Our work provides a simple and effective method to upgrade industrial strains driven by strong constitutive promoters.

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December 26, 3:24 PM
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A Rapid and Cost-Effective Pipeline to Identify and Capture BGCs From Bacterial Draft Genomes

A Rapid and Cost-Effective Pipeline to Identify and Capture BGCs From Bacterial Draft Genomes | RMH | Scoop.it

The exploration of microbial genomes through next-generation sequencing (NGS) and genome mining has transformed the discovery of natural products, revealing an immense reservoir of previously untapped chemical diversity. Bacteria remain a prolific source of specialized metabolites with potential applications in medicine and biotechnology. Here, we present a protocol to access novel biosynthetic gene clusters (BGCs) that encode natural products from soil bacteria. The protocol uses a combination of Oxford Nanopore Technology (ONT) sequencing, de novo genome assembly, antiSMASH for BGC identification, and transformation-associated recombination (TAR) for cloning the BGCs. We used this protocol to allow the detection of large BGCs at a relatively fast and low-cost DNA sequencing. The protocol can be applied to diverse bacteria, provided that sufficient high-molecular-weight DNA can be obtained for long-read sequencing. Moreover, this protocol enables subsequent cloning of uncharacterized BGCs into a genome engineering-ready vector, illustrating the capabilities of this powerful and cost-effective strategy.

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methods

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December 26, 3:16 PM
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Engineering an AlkS-PalkB Transcription Factor-Based Biosensor With Improved Sensitivity to Isobutanol and Other Short-Chain Alcohols | mbt

Engineering an AlkS-PalkB Transcription Factor-Based Biosensor With Improved Sensitivity to Isobutanol and Other Short-Chain Alcohols | mbt | RMH | Scoop.it

Isobutanol, a promising biofuel with higher energy content than ethanol, presents a sustainable alternative through biosynthesis. However, enhancing yield remains challenging due to the inefficiencies in microbial synthesis. This study introduces a transcription factor-based biosensor using the AlkS-PalkB system in Escherichia coli, which correlates green fluorescence with isobutanol concentration. Employing directed evolution, we modified AlkS to detect isobutanol, significantly improving biosensor specificity. Initial modifications increased the dynamic response from non-detectable to a 2.60-fold change. Subsequent optimizations through site-directed mutagenesis and promoter engineering further enhanced this response to a 5.56-fold change, equivalent to a 114% increase. Although engineered for isobutanol detection with high sensitivity, the engineered biosensor retains responsiveness to several short-chain alcohols. This biosensor provides a foundation for high-throughput screening of isobutanol and other short-chain alcohol-producing strains, though additional improvements in selectivity and operating range may be required for efficient implementation.

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isobutanol sensor

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December 26, 3:05 PM
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Pangenomes: new tools for ecological and evolutionary genomics | Tin

Pangenomes: new tools for ecological and evolutionary genomics | Tin | RMH | Scoop.it
Genomic structural variation is an important component of genetic variation in natural populations. By assembling and analyzing multiple high-quality genomes within a species or clade, pangenomes capture variation that can be missed by reference-based genomics at both the sequence and the genic levels. Although pangenomes are nascent tools for animals compared with other taxa, they have already unveiled novel insights into genome evolution, adaptation, the genomic basis of organismal traits, and conservation genomics. We highlight the rapid progress and unique ecological and evolutionary discoveries emerging from applying pangenome tools to diverse natural populations. We conclude that pangenomes are fundamentally shifting the field by revealing structural variants as a key source of adaptive potential and genomic diversity previously missed by single-reference methods.
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Horizontal acquisition of nicotine catabolism gene cluster drives the assembly of tobacco root microbiota community | brvp

Horizontal acquisition of nicotine catabolism gene cluster drives the assembly of tobacco root microbiota community | brvp | RMH | Scoop.it

Plant roots are hotspots for interactions with soil microbes, where a characteristic bacterial community structure is formed. Plant specialized metabolites often play pivotal roles in this assembly process. However, the molecular basis underlying root microbiota responses to these bioactive compounds, and how such metabolic interactions shape the assembly of host-specific root microbiota, remain largely unknown. Nicotine is a toxic alkaloid predominantly produced by the genus Nicotiana, and the genus Arthrobacter is known as one of the nicotine-degrading bacteria in the tobacco root microbiota. In this study, we used the tobacco-Arthrobacter interaction system as a model and integrated comparative genomics and experimental genetic manipulation assays to uncover the role of bacterial catabolism capacity for host specialized metabolites in shaping host-specific root microbiota. Nicotine catabolism genes are uniquely found in the Arthrobacter strains derived from nicotine-containing environments, and this restricted gene distribution is driven by a plasmid-mediated horizontal gene transfer. To assess the ecological consequences of this genomic adaptation in Arthrobacter fitness in tobacco roots, we conducted adaptation assays under both in vitro and in planta conditions using genetically manipulated Arthrobacter and tobacco mutants, which are impaired in nicotine catabolism and biosynthesis, respectively. Nicotine improves Arthrobacter colonization to the tobacco roots through both catabolism-dependent and catabolism-independent mechanisms. Bacterial community analysis using a synthetic community approach further demonstrated that these metabolic interactions, mediated by tobacco nicotine biosynthesis and its catabolism by Arthrobacter, jointly affect root microbiota composition. Our findings illustrated that bacterial catabolic capacity toward host-derived plant specialized metabolites is key for successful root colonization. This metabolic adaptation is driven by plasmid-mediated horizontal gene transfer and ultimately shapes the structure of the overall root microbiota community.

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