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A validation approach for RNA structures based on deep-learning 3D-structure predictions | brvai

A validation approach for RNA structures based on deep-learning 3D-structure predictions | brvai | RMH | Scoop.it

Understanding the molecular mechanisms of life depends on accurate macromolecular structures. RNA, in particular, poses a particular challenge for structural biology due to its inherent flexibility and dynamic nature. The challenging nature of structure determination experiments and their interpretation have led to the development of validation approaches to prevent or fix errors in solved structures. Existing methods for RNA structure validation can, as with proteins, be broadly split into two types. Map-based validation tools seek to detect discrepancies between the experimental data and the determined structure. They are excellent for fixing all types of errors, but only when high-resolution experimental data are available. Model-only validation methods, which usually focus on molecular geometry, are excellent for fixing short-length-scale issues even when experimental resolution is low. Conkit-validate is a mapless method for protein validation, which is not based on chemical plausibility, but rather on the similarity between experimental models and structure predictions for the same protein. By comparing contact patterns, this tool leverages evolutionary covariance information, learned by state-of-the-art structural prediction models, into a mapless validation method capable of detecting sequence assignment issues, with notable success in detecting register errors. Here, we extend the conkit-validate method to work on RNA.The results show performance similar to that previously achieved for proteins. We also show how this new method can detect errors missed by map-based approaches when the experimental data is of low resolution. In a scan of the PDB, its detection rate does not depend on the local resolution of the density, so it remains applicable where map-based approaches are not, and case studies show it can identify register errors where the density alone cannot decide between models.Together, this highlights the complementary value of a contact-prediction based validation approach using information orthogonal to map- and geometry-based approaches to ensure the quality of deposited RNA structures against varying criteria.The performance of the method can be expected to track ongoing improvements in RNA structure prediction methods.

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software checks whether an already built RNA structure has errors

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Diverse bacteria exhibit superadditive growth on mixed classes of carbon sources | brvm

Diverse bacteria exhibit superadditive growth on mixed classes of carbon sources | brvm | RMH | Scoop.it

Heterotrophic bacteria in nature encounter complex mixtures of functionally-distinct carbon sources, yet whether such diversity enhances growth yield across diverse taxa remains unknown. We grew dozens of strains from four phyla on defined mixtures representing five classes of carbon sources. Remarkably, many but not all strains exhibited superadditive growth on a dilute mixture of all 64 compounds—that is, yield exceeding the weighted sum of yields on more concentrated subsets of functionally-similar compounds. Using exometabolomics, pooled genetic screens, and proteomics, we find that superadditive growth is associated with enhanced carbon consumption in the mixed-class medium, combined with reduced dependence on amino acid and nucleotide biosynthesis. Moreover, superadditive growth was predictable from genomes within the tested strain panel and correlated with genomically encoded sugar-over-acid preference. These findings reveal a previously underrecognized axis of physiological variation among heterotrophs and open the door to understanding the biochemical and evolutionary basis of this divergence.

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Large-scale RNA-binding protein tethering screen discovers modulators of circular RNA metabolism | Nature Structural & Molecular Biology nsmb

Large-scale RNA-binding protein tethering screen discovers modulators of circular RNA metabolism | Nature Structural & Molecular Biology nsmb | RMH | Scoop.it

Circular RNAs (circRNAs) are emerging as important regulators in mammalian cells and promising substrates for RNA therapeutics, yet the trans-acting factors governing their metabolism remain poorly defined. Here we systematically evaluate 730 RNA-binding proteins (RBPs) using a tethered reporter assay and identify 281 RBPs that significantly modulate circRNA activity. Follow-up assays implicate these RBPs across key stages of the circRNA life cycle, including biogenesis, nuclear export, degradation and translation. We identify seven RBPs for tethered translation enhancement of therapeutically applicable circRNA vectors and highlight LARP4B as a potent enhancer of exogenous circRNA translation across multiple internal ribosomal entry sites and cell types. We uncover an evolutionarily conserved role for RBM15 in circRNA biogenesis in fly, mouse and human, further demonstrating a role in circRNA nuclear retention, and that perturbing RBM15 sites with dCasRx or antisense oligonucleotides modulates endogenous circRNA expression. Together, our study provides a global view of circRNA trans-regulation and describes practical entry points for therapeutic development. This study systematically evaluates proteins that control circular RNA production, stability and translation, revealing new regulators and strategies to enhance or suppress circular RNA activity for therapeutic development.

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we designed two luciferase minigene reporters containing minimal ZKSCAN1 intronic sequences that facilitate backsplicing, splitting the Firefly or Renilla luciferase gene into two fragments. Intact Firefly or Renilla luciferase is only produced upon successful backsplicing. Translation was initiated using the encephalomyocarditis virus IRES. The Firefly reporter (circFirefly) contained 6x MS2 hairpins to recruit MS2 coat protein (MCP)-RBP fusions, with the Renilla reporter (circRenilla), lacking MS2 hairpins, as an internal control

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Precision meets scale: DSB- and recombinase-free targeted insertion of large DNA fragments | bdr

Precision meets scale: DSB- and recombinase-free targeted insertion of large DNA fragments | bdr | RMH | Scoop.it
Targeted insertion of large DNA fragments has been constrained by the genotoxicity associated with double-strand breaks (DSBs) and the limitations of two-step recombinase systems. Three independently developed mammalian platforms, Quadruple pegRNA (QuadPE), Prime Assembly (PA), and PRIME-In, now achieve programmable, DSB- and recombinase-free insertion of up to 26 kb, 11.3 kb, and 9.2 kb, respectively, through convergent yet mechanistically distinct flap-guided integration strategies. Notably, QuadPE and PA achieve integration independent of cell-cycle progression. Furthermore, these systems outperform several existing recombinase- and/or transposase-based tools, underscoring their translational potential for therapeutic utility. Their mechanistic logic also provides a forward path for the DSB-free and recombinase-free integration of large DNA sequences in crop biotechnology. review
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Marine bacterial taxonomy and metabolic exchange control the fate of extracellular glycolate carbon | isme

Marine bacterial taxonomy and metabolic exchange control the fate of extracellular glycolate carbon | isme | RMH | Scoop.it

Heterotrophic bacterial metabolism is a globally critical component of the marine carbon cycle, but its progression within a complex network of compounds and organisms challenges our ability to quantify carbon fate. Currently unresolved are the genomic underpinnings that control the path of carbon through microbial food webs and the role of metabolic exchange in these dynamics. We hypothesized that genomes could predict which members initially affect carbon fate for a given compound. We also posited that exchange of breakdown products generated from that compound further alters the path of carbon through the ecosystem. Our experiments featured simplified organic matter and microbial communities that examined glycolate metabolism in a diverse set of sixteen heterotrophic marine bacterial isolates. Stable isotope probing and imaging mass spectrometry alongside genomic analyses and microscopy revealed relationships between taxonomy and carbon fluxes. Nine of thirteen strains genomically capable of glycolate metabolism directly assimilated and respired glycolate carbon in monoculture. We then co-cultivated glycolate-incorporators with non-incorporators and found several non-incorporators assimilated more glycolate carbon into biomass than incorporators. Carbon use efficiency, reflecting partitioning of carbon into biomass versus carbon dioxide, was distinct across co-cultures and ranged from 0.01 - 3.15% depending on the co-culture mixtures. These results suggest glycolate carbon fate is not driven solely by microbial taxa genomically capable of assimilation but rather by metabolic interactions that further impact the efficiency of carbon transfer. Quantifying these effects is critical to refine conceptual and numerical models of heterotrophic organic matter processing.

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Biological insights and methodological challenges learned from working with a diverse heterotrophic marine bacterial library | isme

Organized collections of bacterial strains can help bridge the gap between studying model organisms and communities, through comparative experiments between genetically and phenotypically diverse strains. Yet, to date, few studies discuss in a detailed and systematic manner the processes of collecting and maintaining bacterial strain libraries. Here, we aim to address this gap by describing the establishment and initial characterization of a library of 62 marine heterotrophic bacteria, selected to represent a significant fraction of the genome-encoded functional diversity and a wide range of known phytoplankton-bacteria interactions. We systematically document the practical and methodological challenges of collecting, verifying, and phenotyping a diverse marine bacterial library; aspects of comparative microbiology that have received comparatively little detailed, systematic treatment to date. Cultured strains contain up to hundreds of mutations compared with the reference genomes, with non-synonymous mutations in rpoB and/or rpoC genes observed in ~15% of the cultures. Most strains grow well at 25°C, but the dependence of growth rate on temperature and the width of the temperature niche varies between strains in a systematic manner. We describe steps towards designing a universal, defined, minimal media for marine bacteria, revealing that growth inhibition on amino acids and peptides by carbohydrates is widespread. Cell counts obtained from flow cytometry and colony plating differ systematically, as do different methods to assess motility. Finally, we discuss traits potentially related to microbial interactions such as hemolysis, biofilm formation, and antibiotic resistance. Gammaproteobacteria such as Alteromonas, Pseudoalteromonas, and Vibrio reveal consistently robust growth, and activity, perhaps explaining why these clades are well-explored. Explicitly discussing the insights and challenges of working with strain libraries will pave the way to robust, reproducible, and generalizable mapping of bacterial traits across diversity.

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StableProt: Structure-Aware Deep Learning for Protein Thermostability (Tm) and Environmental Adaptation (OGT) Prediction | brvai

StableProt: Structure-Aware Deep Learning for Protein Thermostability (Tm) and Environmental Adaptation (OGT) Prediction | brvai | RMH | Scoop.it

Predicting protein melting temperature (Tm) and organismal optimal growth temperature (OGT) is essential for enzyme engineering, biocatalyst design, and metagenomic bioprospecting, yet computational prediction faces several fundamental bottlenecks: sequence-only representations miss tertiary packing; dual-task coupling induces destructive gradient conflict; natural database skew (>87% mesophiles) drives mesophilic collapse; and existing tools produce uncalibrated point predictions. To address these challenges, we present StableProt, a structure-aware framework that couples amino acid sequences with Foldseek 3Di structural tokens via a frozen SaProt backbone to capture 3D contacts. Disjoint heads condition thermodynamic stability on ecological context without gradient conflict, while targeted 14% mesophilic subsampling expands thermophile representation to eliminate mesophilic collapse. Calibrated ensemble modeling reduces calibration error to 1.92%, providing dependable 95% confidence intervals. Evaluating models across 10°C temperature intervals reveals severe baseline collapse at thermal extremes, whereas StableProt maintains robust accuracy across regimes. On ProThermDB and zero-shot FireProtDB, StableProt achieves state-of-the-art probabilistic accuracy (CRPS = 4.52°C and 8.71°C) while recovering 92.0% of hyperthermophiles (≥80°C), and in prospective validation, its calibrated intervals capture both enzyme stability (75.3% coverage) and host environmental growth temperatures (78.1% coverage). StableProt is freely accessible as an interactive web server at https://stableprot.dixitlab.org/ 

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thermo

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Programmable interphyla communication for Staphylococcus aureus by transferability of homoserine lactone sensors between Bacillales bacteria | brvbe

Programmable interphyla communication for Staphylococcus aureus by transferability of homoserine lactone sensors between Bacillales bacteria | brvbe | RMH | Scoop.it

Staphylococcus aureus is a Gram-positive opportunistic pathogen of the order Bacillales and a frequent member of human-associated microbiomes. Despite its clinical relevance, engineering S. aureus and the communities it inhabits remains limited by a shortage of well-characterized genetic tools for precise control of gene expression and intercellular signaling. Biosensors for homoserine lactones (HSLs) are widely used in Gram-negative bacteria, as HSLs are small, passively diffusible signaling molecules for and their sensors are tightly regulated. Here, we show that synthetically designed HSL sensors using LuxR-family regulators are highly functional in S. aureus. Notably, synthetic designs previously built for the Gram-positive model Bacillus subtilis, a distantly related Bacillales, transferred functionally and establish repurposing the genetic toolbox as an effective strategy for importing these functions into S. aureus. Sensor performance correlated strongly between the two Bacillales, and activation in S. aureus reached 55-fold, exceeding the dynamic range of reported inducible systems. We further demonstrate tightly regulated, programmable interphyla communication between Gram-negative Escherichia coli and S. aureus via HSL signaling. These results provide a new toolset for engineering interbacterial communication and open a route to extending programmable HSL signaling to other tough-to-engineer bacteria.

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lauren

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Advances in directed evolution: Mutagenesis, sensing, screening, and in silico innovation | badv

Advances in directed evolution: Mutagenesis, sensing, screening, and in silico innovation | badv | RMH | Scoop.it
Directed evolution (DE) represents a pivotal interdisciplinary paradigm that synergistically integrates biotechnology, computational methodologies, and precision analytical instrumentation. It enables accelerated, controllable in vitro laboratory evolution of diverse biomolecules toward predefined functional targets. This review comprehensively summarizes fundamental principles and cutting-edge progress underlying core DE frameworks, encompassing mutagenesis engineering, biosensing, high-throughput screening (HTS), cell-free and display techniques, and integrated computational approaches. We systematically elaborate on their intrinsic features, comparative merits, inherent bottlenecks, applicable scopes, and prospective optimization trajectories. Furthermore, we emphasize the transformative capacity of these technologies for the development of organisms, enzymes, antibodies, and diverse functional biomolecules with tailored functional properties, spanning industrial, clinical, and fundamental research applications. Collectively, this work aims to provide a holistic mechanistic framework of contemporary DE platforms and inspire novel conceptual and methodological directions for future research.
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Multilevel metabolic engineering of Shewanella oneidensis as a heme-tolerant host for efficient porphyrin production | meg

Multilevel metabolic engineering of Shewanella oneidensis as a heme-tolerant host for efficient porphyrin production | meg | RMH | Scoop.it
Porphyrin-derived high-value chemicals are important for food, medicine, and fine chemicals manufacturing, yet the physiological complexity of tetrapyrrole metabolism constrains efficient bioproduction. Here, we systematically engineered the cytochrome-rich bacterium Shewanella oneidensis MR-1 for porphyrin production. A modular coproporphyrin III biosynthetic pathway was reconstructed and progressively optimized through hemB homolog selection, antioxidant defense engineering, attenuation of competing tetrapyrrole branches, genome-scale model-guided target mining, plasmid-backbone reassignment, and ribosome-binding site tuning. The resulting strain achieved a remarkable coproporphyrin III production of 1525.5 ± 37.3 mg L−1 and was further raised to 1906.8 ± 39.2 mg L−1 under 5-aminolevulinic acid supplementation condition. Integrated metabolomic analyses identified a riboflavin-associated redox response linked to improved production physiology, while extracellular product accumulation enabled efficient acetone-assisted crude recovery. The platform was further extended to protoporphyrin IX and heme production with titers of 612.7 ± 4.8 mg L−1 and 107.4 ± 3.3 mg L−1, respectively. This work demonstrates an integrated metabolic engineering strategy combining pathway reconstruction, physiological stress mitigation, model-guided target selection, and multilevel expression balancing for developing S. oneidensis as a porphyrin-producing cell factory.
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Replicon engineering-driven modular synthetic biology toolkit for efficiently iterative genome editing in Fusarium venenatum | meg

Replicon engineering-driven modular synthetic biology toolkit for efficiently iterative genome editing in Fusarium venenatum | meg | RMH | Scoop.it
Fusarium venenatum is the most widely used filamentous fungus for biomass-based microbial protein production mainly used as meat analogs. However, insufficient iterative genome editing and lack of synthetic biology tools for fine-tuning gene expression limited engineering of F. venenatum for improved traits. Here, replicon engineering-based modular synthetic biology toolkit in F. venenatum was established. Specifically, stable and curable mitochondrial DNA-derived replicons were firstly identified and characterized. The curable replicon MT07 enabled CRISPR/Cas9 genome editing system with efficient plasmid curing, shortening curing time from 22 to 8 days. Based on genome editing system, six neutral genomic integration sites were identified for gene integration expression. In contrast, the stable replicon MT071 enabled stable episomal expression system construction, facilitating the characterization of modular transcriptional and translational regulatory elements, including 21 promoters, 8 terminators, 9 Kozak sequences, and 2A peptide-mediated polycistronic expression modules, yielding 662.9-fold gene expression dynamic range. As a proof of concept, this toolkit was applied to engineering the chassis cell and construct 3-hydroxy-3-methylbutyrate (HMB) biosynthetic pathway, enabling efficient co-production of microbial protein and HMB, with titers reaching 36.2 g/L and 6.2 g/L, respectively. Overall, this work establishes a replicon engineering-driven synthetic biology platform to engineer filamentous fungi for sustainable food biomanufacturing.
mhryu@live.com's insight:

m-1str, origin of replification, plasmid, MT07 was tested in Trichoderma reesei Rut-C30, where transformants carrying a fluorescent protein construct were recovered.

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Branched-chain amino acid biosynthetic platforms in prokaryotic cell factories: metabolic engineering and value-added chemical biomanufacturing | badv

Branched-chain amino acid biosynthetic platforms in prokaryotic cell factories: metabolic engineering and value-added chemical biomanufacturing | badv | RMH | Scoop.it
Branched-chain amino acids (BCAAs) are recognized not only as industrially important fermentation products but also as versatile biosynthetic platforms for the production of branched-chain value-added chemicals. The characteristic branched carbon skeletons of BCAAs, together with their metabolically versatile intermediates, enable the biosynthesis of a broad spectrum of value-added chemicals, including branched-chain α-keto acids (BCKAs), alcohols, and carboxylic acids. This review systematically examines the metabolic basis of BCAA biosynthesis and the features underpinning its platform functionality, followed by a comprehensive overview of metabolic engineering strategies for constructing efficient BCAA-producing prokaryotic cell factories. Particular emphasis is placed on bacterial production platforms, especially E. coli and Corynebacterium glutamicum, in which engineering carbon flux through enhanced glucose uptake, expanded pyruvate availability, reinforced biosynthetic flux, regulated cofactor supply, and improved product export. Advances in enzyme engineering are also discussed, with four complementary strategies highlighted for expanding the branched-chain chemical repertoire: enhancement of catalytic activity, improvement of substrate selectivity, engineering of cofactor utilization through NADH regulation, and optimization of enzyme expression. Finally, current challenges and future directions are discussed, and an engineering framework is proposed for the rational development of BCAA platform-based biomanufacturing toward an expanded repertoire of branched-chain chemicals.
mhryu@live.com's insight:

liu l, 1str, branched-chain amino acids (BCAAs), comprising L-valine, L-leucine, L-isoleucine

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Expanding synthetic lethality through computationally designed aptamers

Expanding synthetic lethality through computationally designed aptamers | RMH | Scoop.it
Aptamers are emerging as versatile tools in cancer research and therapy because they combine high target specificity with low immunogenicity, chemical tractability, and straightforward sequence optimization. They have been developed for tumor recognition, biomarker detection, targeted delivery of drugs and therapeutic RNAs, and direct modulation of oncogenic or immune pathways. Their programmable nature also creates opportunities to target intracellular protein interactions that remain largely inaccessible to conventional therapeutics.
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Magnetic organelle gene clusters enable bacterial growth and ATP homeostasis under oxidizing conditions | brvm

Magnetic organelle gene clusters enable bacterial growth and ATP homeostasis under oxidizing conditions | brvm | RMH | Scoop.it

Biological organisms can produce magnetic nanoparticles made of magnetite to detect the Earth's magnetic field for orientation. The evolutionary mechanisms that led to the acquisition of this capacity remain unknown. The most ancient organisms known to perform magnetic orientation are magnetotactic bacteria. Under tight genetic control, they produce chains of magnetite nanoparticles in dedicated organelles to allow efficient navigation in aquatic environments containing molecular oxygen. Yet, these bacteria have been proposed to emerge before molecular oxygen became abundant on Earth, at a time when this navigation system could not have served its current function. Here, we show that gene clusters responsible of magnetite formation and organization enable resistance against hydrogen peroxide, a toxic oxygen-derived compound that was produced during the early stages of Earth's oxygenation when iron oxidation consumed molecular oxygen. Characterization of the nanoparticle's oxidation state supported the involvement of magnetite in resistance to hydrogen peroxide-induced oxidative stress. These findings are compatible with an early emergence of magnetotactic bacteria, before natural waters became oxygenated. We propose a conceptual framework to explain the origin of magnetic orientation in bacteria, and offer tools to identify the initiation of Earth's oxygenation in a time-resolved manner.

mhryu@live.com's insight:

Ferrous iron abundant in the Archean oceans scavenged much of the O2 produced by early cyanobacteria. This process generated H2O2, exposing microorganisms to oxidative stress. Such selective pressure may have driven the emergence of early magnetotactic bacteria, whose magnetosomes helped them cope with these oxidizing conditions. As the oceanic ferrous iron reservoir became depleted, oxygen started to accumulate, establishing redox and oxygen gradients throughout the water column. The subsequent organization of magnetosomes into chains could have allowed magnetotactic bacteria to align with Earth’s magnetic field, enabling efficient navigation along these gradients and facilitating escape from highly oxidative environments.

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How marine particles shaped microbial evolution over Earth’s history | Nmb

How marine particles shaped microbial evolution over Earth’s history | Nmb | RMH | Scoop.it

We argue that shifts in the abundance and composition of marine particles impacted horizontal gene transfer, consequently shaping the evolutionary landscape of the oceans throughout Earth’s history. We focus on two pivotal transitions — the emergence of cyanobacteria and the rise of eukaryotic algae.

mhryu@live.com's insight:

matrix materials spontaneously assemble and heterotrophic microorganisms begin to feed on them (A); the particle matrix consists of stable biological polymers (primarily polysaccharides but also proteins, fats and DNA) (B); bacteria secrete digestive enzymes (C); and continuing digestion causes the particle to diminish and eventually disintegrate (D). Bacterial gene transfer processes (E–G): DNA uptake (transformation) (E), conjugation (F), and transduction by phage (G).

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Design and artificial synthesis of gRNA library for genetic breeding of Saccharomyces cerevisiae | bdr

Design and artificial synthesis of gRNA library for genetic breeding of Saccharomyces cerevisiae | bdr | RMH | Scoop.it

CRISPR mediated genome engineering strategies were developed and applied for genome-wide mutagenesis. However, high-throughput gRNA libraries require design and synthesis, which limits their economy and versatility. In this study, we designed in vitro transcription strategy for artificially synthesizing random gRNA libraries, which were transformed into cells to guide the diverse mutations generated through Cas protein induced double stranded DNA breaks. As a proof of concept, the Saccharomyces cerevisiae strain C0 with overexpression of tHMG1 and β-carotene biosynthesis key genes was used as the original strain, and the β-carotene synthesis ability of strain C0 was increased to that of 5.8 times after three rounds of iterative mutation. Furthermore, for the mutated S. cerevisiae strain C7-143 with high-level β-carotene production, a mutant strain AgC8-174 with a 26% increase in β-carotene yield was obtained through one round of mutation. This strategy completely avoided the limitations of plasmid library, significantly shortened the experimental cycle, and improved the versatility of gRNA library across different species. The results fully demonstrated the feasibility of the technology and lays a solid foundation for its application in the field of microbial genetics and breeding.

mhryu@live.com's insight:

20 base targeting region is random. The purified gDNA20N template library was used as the template for in vitro transcription catalyzed by T7 RNA polymerase to generate the random gRNA20N library. 

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Temperature effects on life history strategies for rapid growth potential of leaf epiphytic bacteria | isme

Temperature effects on life history strategies for rapid growth potential of leaf epiphytic bacteria | isme | RMH | Scoop.it

Phyllosphere bacteria, occupying both epiphytic and endophytic habitats, constitute a critical plant-atmosphere interface. However, their community assembly and life-history strategies (LHSs) in response to temperature increase remain poorly understood. Here, we compared leaf phyllosphere bacterial communities with those in other plant compartments across four representative plant species from an alpine meadow on the Qinghai-Tibet Plateau. By combining observations along an elevational gradient with a controlled warming experiment, we found that temperature was closely associated with the deterministic assembly of leaf phyllosphere bacterial communities. Elevated temperature corresponded to shifts in taxonomic composition, diversity, assembly process, cross-compartment bacterial source, and co-occurrence network. Furthermore, elevated temperature was associated with a shift toward r-strategists in leaf phyllosphere bacterial LHSs, evidenced by higher ribosomal RNA operon (rrn) copy numbers for rapid growth potential and corroborated by genome assemblies of four warming-responsive epiphytic isolates and metagenomic sequencing. Based on 880 public 16S rRNA gene datasets from 45 locations on six continents, we identified a global increase in the rrn copy number in leaf epiphytic bacterial communities across diverse plant species, which was associated with elevated temperatures and enhanced diurnal fluctuation. Finally, we proposed a concept of four LHSs (growth, stress tolerance, competition, and resource acquisition) based on functional inference from 16S rRNA data, supported by the assembled epiphytic bacterial genomes and metagenomes. Collectively, our findings established a trait-based framework for understanding responses of leaf phyllosphere bacteria to future warming.

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Periphyton-associated combined restoration promotes microbial restructuring and phosphorus cycling in gleyed paddy soil | isme

Periphyton-associated combined restoration promotes microbial restructuring and phosphorus cycling in gleyed paddy soil | isme | RMH | Scoop.it

Persistent reductive stress and soil acidification impose strong environmental filtering in gleyed paddy soils, suppressing microbial activity and limiting phosphorus (P) bioavailability. Inspired by natural soil-water interface dynamics, we developed a restoration strategy combining slow-release CaO2, periphyton development, and phosphate-solubilizing bacteria (PSB) to alleviate habitat constraints and reactivate endogenous P cycling under field conditions. Slow-release CaO2 provided initial oxidative and alkalizing conditioning, effectively elevating soil pH and reducing total reducing substances (TRS). This initial habitat amelioration was accompanied by periphyton proliferation and a marked reduction in within-treatment community heterogeneity (microbiome convergence). Co-occurrence network analysis revealed topological realignments, with PSB taxa (Bacillus and Pseudomonas) occupying module hubs and periphytic microalgae acting as connectors between photoautotrophic and heterotrophic guilds. Metatranscriptomic profiling demonstrated coordinated upregulation of complementary P-cycling pathways, including pyrroloquinoline quinone (PQQ)-dependent inorganic P solubilization and organic P mineralization (phoD, pqq, phn, and bpp). These functional transcripts were positively correlated with soil pH, phosphatase activities, and available P, but negatively correlated with TRS. Overall, this integrated conditioning strategy alleviated environmental filtering and was associated with coupled multi-guild functional responses, ultimately boosting endogenous P-cycling potential in degraded paddy soils. These findings suggest that a functional complementary framework may help inform microbiome-assisted restoration of constrained agricultural soils.

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Homology-aware average nucleotide identity estimation at scale with TurboANI | brvbi

Homology-aware average nucleotide identity estimation at scale with TurboANI | brvbi | RMH | Scoop.it

Here we introduce TurboANI, a fast homology-aware average nucleotide identity (ANI) estimation algorithm that implements the seed-chain-quasi-alignment scheme using SIMD seeding, compact indexing, lightweight chaining, and cache-friendly bitset sliding minwise hashing, achieving up to ~40,000-fold speedup over the alignment-based ANI algorithm with near-perfect agreement. TurboANI is also >40-fold faster than the state-of-the-art FastANI and ten-fold faster than skani while maintaining better accuracy. In the sensitive mode, it has a ten-fold higher true-ANI recovery rate than skani.

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kngiht r, software predict ani

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Inference of cell division parameters in bacteria under transient growth conditions | brvm

Inference of cell division parameters in bacteria under transient growth conditions | brvm | RMH | Scoop.it

Most quantitative models of bacterial cell division assume steady-state growth, yet natural environments are highly dynamic. Here, we infer division control parameters of E. coli from single-cell size trajectories under nonsteady growth. We describe growth as a continuous process interrupted by stochastic divisions, whose propensity depends on cell size and on the size added since birth. Combining an estimation of time-dependent single-cell growth rates with a maximum-likelihood estimator that we previously validated on synthetic data, we obtain time-resolved estimates of the mean added size at division, its noise, and a strategy parameter that measures how added size depends on birth size. This parameter vanishes for the adder, in which cells add, on average, a fixed size regardless of their size at birth, and is negative for sizer-adder control, in which larger-born cells add less size. We apply this approach to published single-cell data covering steady exponential growth, gradual nutrient depletion, and exit from starvation. We implement a time-resolved model selection based on the Akaike information criterion, concluding that the adder is sufficient during steady growth, whereas size dynamics during entry into and exit from stationary phase are better explained by transient deviations toward sizer-adder control. The framework provides a general method to quantify time-resolved changes in the scale, stochasticity, and strategy of division in nonsteady environments.

mhryu@live.com's insight:

A cell born at 2 µm divides at 5.5 µm, and each daughter is 2.75 µm.

A cell born at 3 µm divides at 6.5 µm, and each daughter is 3.25 µm.

The starting gap was 1 µm and the daughters differ by 0.5 µm. In the next generation the gap becomes 0.25 µm, and so on. Bigger cells divide bigger, but they produce daughters closer to the average size, and this is how size stays within a narrow range.

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Engineering of bacterial outer membrane vesicles for biotechnological applications | badv

Engineering of bacterial outer membrane vesicles for biotechnological applications | badv | RMH | Scoop.it
Outer membrane vesicles (OMV) are spherical, nano-sized proteoliposomes naturally secreted by Gram-negative bacteria. By incorporating parental membrane components and encapsulating diverse cellular cargos, OMVs function as potent mediators of biological communication. Despite inherent challenges, including low production yields, heterogeneous composition, and stochastic cargo loading, OMVs hold immense promise across broad biotechnological landscapes. In this review, we examine current advancements in OMV chassis engineering and functional diversification, providing a comprehensive synthetic biology perspective on their role as modular and programmable systems. We discuss five established strategies for inducing hyper-vesiculation alongside two complementary frameworks for constructing synthetic vesicles. These engineered OMVs facilitate transformative applications spanning biomedical and biotechnological domains, notably as high-fidelity platforms for studying membrane proteins within their native lipid environments. As synthetic biology increasingly converges with materials science, future innovations such as stimuli-responsive vesicles, self-assembling architectures, and hybrid bio-synthetic materials are poised to emerge. Such advancements position synthetic OMVs at a critical intersection to address complex challenges in medicine, environmental remediation, and advanced materials science, offering unprecedented opportunities for both fundamental discovery and industrial applications.
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cho bk

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Constructing nucleoside deaminase-assisted orthogonal DNA replication system for continuous evolution in prokaryotes | meg

Constructing nucleoside deaminase-assisted orthogonal DNA replication system for continuous evolution in prokaryotes | meg | RMH | Scoop.it
Orthogonal DNA replication system-based continuous evolution enables user-defined genes to undergo a hypermutagenic evolutionary state through a replication process independent of the host genome, while maintaining overall cellular stability. However, its application is constrained by the relatively low mutation rate of orthogonal error-prone DNA polymerases (ep-DNAP) and by strong mutation bias during misincorporation. To address this, we developed nucleoside deaminase–assisted orthogonal DNA replication (NDAORep) systems, in which nucleoside deaminases (NDA) are coupled to orthogonal DNA replication to enhance and tune mutagenesis. NDAORep was implemented in engineered Bacillus thuringiensis and synthetic E. coli systems, achieving mutation rates up to 1.16 × 10−4 substitutions per base pair per generation (s.p.b.), approximately 880,000-fold to the host genome with adjustable mutation bias. Using NDAORep, we rapidly evolved a strong constitutive P43 promoter to a variant with 6.88-fold higher activity after only 12 h, compared with 8 days using ep-DNAP alone. We also evolved more efficient orthogonal aminoacyl-tRNA synthetases (aaRSs) in B. thuringiensis and E. coli, enhancing p-azido-L-phenylalanine incorporation by up to 50% and 83%, respectively. Furthermore, NDAORep enabled optimization of a synthetic formate assimilation pathway in E. coli, increasing formate assimilation 5-fold. Collectively, these results demonstrate that NDAORep accelerates the evolution of regulatory elements, protein functions, and metabolic pathways, establishing a powerful platform for metabolic engineering and synthetic biology. By coupling programmable mutational diversity with continuous selection, NDAORep enables rapid optimization of complex biological systems that are difficult to engineer through conventional approaches.
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3st, the target gene sits on a linear plasmid that is replicated by a separate phage derived system: an orthogonal DNA polymerase, a terminal protein attached to both plasmid ends, a double stranded DNA binding protein and a single stranded DNA binding protein. The host’s high fidelity polymerase does not copy this plasmid, and the orthogonal polymerase does not copy the host genome. Replication starts when the orthogonal polymerase recognizes the terminal protein at the plasmid ends. To raise the mutation rate further, they fused an adenine deaminase (TadA9) and a cytosine deaminase (hAID) to the replication proteins. In NDAORepBL (B. thuringiensis) and NDAORepHA (E. coli), the adenine deaminase is fused to the error prone polymerase. 

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Adaptive rewiring of NADPH electron flow reveals escape routes from redox-balance-based growth coupling in Escherichia coli | meg

Adaptive rewiring of NADPH electron flow reveals escape routes from redox-balance-based growth coupling in Escherichia coli | meg | RMH | Scoop.it
Redox-balance-based growth coupling links oxidoreductase activity to cellular fitness and can enable high-throughput enzyme selection and strain evolution. However, because growth reflects the fitness of the whole cell, metabolic adaptation can circumvent the intended selective pressure. Here, we investigated the evolutionary stability of an aerobic NADPH redox-balance selection strain of E. coli engineered to accumulate NADPH during growth on glucose. Adaptive evolution first selected mutations predicted to relax cofactor specificity in NADH-dependent quinone oxidoreductases, allowing NADPH-derived reducing equivalents to enter respiratory electron flow. Removing major NADH-to-quinone oxidoreductases did not eliminate the capacity for evolutionary escape; in one successfully evolving lineage, adaptive evolution uncovered a latent lactate-mediated route for electron transfer into the quinone pool. These results reveal strong selective pressure to reconnect soluble nicotinamide redox metabolism with energy-conserving respiration and demonstrate that E. coli can access multiple pathways for restoring electron flux between these systems. Overall, this work outlines design principles for aerobic, growth-coupled strains which rely upon redox balance, illustrating that successful designs must limit respiratory rewiring while preserving sufficient carbon and energy flux to support growth and pathway selection.
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keasling, An E. coli strain containing deletions in the genes pgi, edd, qor, and sthA (referred to as PEQS, following naming conventions established in related work has been previously described in multiple lines of study as a growth-limited strain that exhibits a severe NADPH:NADP+ imbalance. Aerobic E. coli rewires electron flux to escape NADPH imbalance. Removing respiratory escape routes reveals hidden redox constraints.

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Recent advances in the precision synthesis of homogeneous N-linked glycoproteins: Synthetic strategies and discovery of latent functions | cin

Recent advances in the precision synthesis of homogeneous N-linked glycoproteins: Synthetic strategies and discovery of latent functions | cin | RMH | Scoop.it
Protein glycosylation crucially regulates the function and stability of mammalian membrane and secreted proteins. However, because biological glycan processing is inherently a non-template-driven process, natural glycoproteins exist as heterogeneous mixtures. This structural heterogeneity has historically hindered the precise study of specific glycoforms. To overcome this fundamental limitation, advanced chemical and semi-synthetic strategies have emerged, now enabling the precise construction of structurally homogeneous glycoproteins. In this review, we highlight recent progress in the chemical and semi-synthetic assembly of these pure glycoforms, with a focus on advanced peptide ligation technologies. Ultimately, by securing scalable access to well-defined synthetic models, these precision techniques are uncovering latent physiological functions and laying the groundwork for novel, highly targeted therapeutics.
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PrimerBac: A Searchable Database of Taxon-specific Primers for Rapid Microbial Identification | jmb

PrimerBac: A Searchable Database of Taxon-specific Primers for Rapid Microbial Identification | jmb | RMH | Scoop.it
Species-resolved PCR detection of gut microorganisms is challenged by within-species genomic diversity and sequence conservation among related taxa. We developed PrimerBac (https://primerbac.cn), a searchable database that integrates gut-focused reference collection, RefSeq pan-genome analysis, core-orthogroup marker selection, background screening, and assembly-level ePCR evaluation. The reference intestinal resource contains 1762 species, and complete pan-genome analyses were obtained for 1179 species. PrimerBac provides 1,148,644 primer pairs for 991 prokaryotic species and 611,077 pairs for 424 genera. Broad screening of 22,207 RefSeq reference/representative assemblies yielded 68.9% sensitivity. In a non-overlapping temporal panel of 4115 post-construction assemblies, 57 of 65 evaluable targets were detected (87.7% sensitivity; 95% CI, 77.5–93.6%), with 84.0% hit-defined macro precision. PrimerBac therefore provides a searchable and systematically evaluated resource for targeted microbial identification.
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Identification and characterization of new P. aeruginosa phages using a surface receptor platform | brveco

Identification and characterization of new P. aeruginosa phages using a surface receptor platform | brveco | RMH | Scoop.it

Bacteriophages are of increasing interest for their potential use as alternatives to antibiotics for treating drug-resistant infections. Phage steering, specifically receptor-based steering, involves use of phages that bias the development of resistance in bacteria towards phenotypes such as reduced fitness. Phage therapy typically involves administering cocktails of phages with different targets to reduce the likelihood of resistance emerging. To ensure effective steering and cocktail design, there is a need to identify the receptors used by phages of interest, and to isolate phages that use diverse receptors. Here we describe a SURFAce Receptor (SURFAR) platform consisting of a set of defined Pseudomonas aeruginosa strains and mutants for rapid characterization of phage receptors. This platform can also be used to enrich for and isolate diverse phages from environmental samples, yielding novel phage genomes from wastewater. Using the SURFAR platform, two new phages were isolated and characterized: Dalewood, which targets both flagella and the conserved LPS outer core, and Bowman, a biofilm targeting phage capable of supressing growth of a subset of carbapenem-resistant clinical isolates. This tool helps to standardize the laborious but important task of phage receptor characterization, with the goal of expanding the known repertoire of P. aeruginosa phage receptors and phages.

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The panel has about 46 strains, in the PAO1 background, which lacks CRISPR defence so failed infection is more likely due to a missing receptor. It includes 5 WT lab strains covering the 5 pilin groups, each with a non-piliated mutant, and PAO1 knockouts of the common receptors: pili (pilA), flagellin (fliC), the flagellar hook (flgE), and the lipopolysaccharide O-antigen (wbpH, wzm) and core (ssg, galU). It also has knockouts of candidate receptors: the iron transporters and their energizers (tonB1, tonB2, fpvA, fpvB, fptA), the outer membrane proteins OprF and OprJ, the regulator mexT, and the biofilm sugars Pel and Psl (pelA, psl). Several strains lack combinations of receptors, such as pili with flagella or pili with both O-antigens.

The remaining strains overexpress genes from an arabinose inducible plasmid. Extra iron transporters are made in normal PAO1 and in a strain lacking pili and O-antigens, so the common receptors do not mask them. Overexpressing sadC makes biofilm hyper-producing strains in three backgrounds. The panel is arranged in a 96 well plate, and phage spotted on each strain shows which receptor it needs. 

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