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Evolving strategies for virus discovery | msc

Evolving strategies for virus discovery | msc | RMH | Scoop.it

Viruses interact with all domains of life and play fundamental roles in shaping biological systems from individual hosts to global ecosystems. Yet their identification remains difficult due to a lack of a universal marker gene and the extensive diversity of viral genomes. Despite this, the speed of viral discovery is quickly increasing, driven by the growing number of virome studies, improved sequencing technologies and the decreased cost of sequencing. In this review, we examine the evolution of virus identification approaches from classical and molecular methods to contemporary genome-resolved and computational frameworks. By aggregating genome-resolved virome studies from 2010 to early 2026 that meet defined criteria (n=502), we synthesize the current landscape of virus identification methods, including similarity-based, sequence-based artificial intelligence (AI) and hybrid approaches. We also highlight the key limitations of the current methods, particularly biases in reference databases that contribute to persistent viral ‘dark matter’. Finally, we identify emerging opportunities for the field in structure-based and AI-driven approaches that extend detection beyond sequence similarity and outline how these integrative frameworks are poised to improve virus discovery across ecosystems.

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Targeted DNA nicking enables efficient, single-step and counterselection-free editing of bacteriophage genomes | brveco

Targeted DNA nicking enables efficient, single-step and counterselection-free editing of bacteriophage genomes | brveco | RMH | Scoop.it

Genetic manipulation of bacteriophages is essential for interrogating phage biology and advancing antimicrobial therapies. However, current genome editing approaches can be inefficient, require multiple steps, or drastically reduce phage titers. Here, we show that targeted DNA nicking enables template-mediated editing of phage genomes in one step without reducing phage titers. Using T7 phage, we show that Cas9-mediated nicking achieved up to 100% recombination across multiple loci, including substitutions and deletions of up to 200 bp and insertions of up to 500 bp, all while preserving phage titers. Editing in T7 was RecA-independent and extended to other phages. Leveraging high titers, we engineered a T7 library of over 440,000 tail-fiber mutants, with isolated mutants restoring infection of two LPS-deficient E. coli hosts by shifting recognition to core LPS components. Overall, DNA nicking is a simple and distinct editing strategy that can advance phage genome engineering, genetic interrogation, and antimicrobial development.

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phage engineering, E. coli carry 2 plasmids: one expressing the Cas9 variant (nuclease, nickase, or dead), and one carrying the gRNA (targeting a specific phage sequence) and the repair template. the RT contains the desired edit flanked by homology arms (up to 500 bp) matching the phage genome on either side of the target site. These cells are infected with wild-type phage. As the phage genome replicates inside the cell, the Cas9 variant (guided by the sgRNA) acts on the phage DNA at the target site. Resulting phage progeny are plated, plaques picked, and sequenced (Sanger or Nanopore) to check for the edit. What nicking eliminates is the lethal double-strand break that normally underlies counterselection-based editing, letting both edited and unedited phage survive at high titer while the RT still gets incorporated at high frequency via a recombination pathway 

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Antimicrobial-resistance plasmids encode Evangelion, a widespread DUF4062 anti-phage defence family | Brveco

Antimicrobial-resistance plasmids encode Evangelion, a widespread DUF4062 anti-phage defence family | Brveco | RMH | Scoop.it

Many bacterial antiphage defence systems are encoded by mobile genetic elements, yet much of this antiviral repertoire remains undiscovered. Antimicrobial-resistance plasmids are well known for disseminating antibiotic-resistance genes, but their contribution to bacterial immunity remains largely unexplored. Using phenotype-guided interrogation of a naturally occurring methicillin-resistant Staphylococcus aureus plasmid, we identify Evangelion, a widespread family of single-gene anti-phage defence systems in which a conserved DUF4062 core is coupled to a diversified auxiliary region required for defence activity. Evangelion systems are enriched on antimicrobial-resistance plasmids but are distributed across diverse bacterial hosts and mobile genetic elements, revealing an evolutionarily conserved defence architecture that has diversified through horizontal gene transfer and adaptation to distinct phage environments. Genetic, structural and evolutionary analyses support a model in which Eva01 senses intracellular phage replication-associated processes and couples activation of a DUF4062 effector to NAD⁺ depletion and abortive infection. Together, our findings define a previously unrecognised family of mobile anti-phage defence systems, establish DUF4062 proteins as a new component of the bacterial anti-phage repertoire, and demonstrate that phenotype-guided interrogation of mobile genetic elements provides a powerful strategy for discovering defence systems beyond the reach of current computational approaches.

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LUstiGE, Light responsive Ustilago maydis Gene Expression: Optogenetic control of morphogenesis and pathogenesis in the corn fungal pathogen Ustilago maydis | brvbe

LUstiGE, Light responsive Ustilago maydis Gene Expression: Optogenetic control of morphogenesis and pathogenesis in the corn fungal pathogen Ustilago maydis | brvbe | RMH | Scoop.it

The basidiomycete Ustilago maydis is a well-characterized model organism for studying pathogen-host interactions and of great interest for a broad spectrum of biotechnological applications. We set here to develop light inducible molecular tools to enable dynamic studies on signaling networks and fungi-host communication, and for metabolic engineering approaches. In particular, light-controlled, optogenetic switches provide quantitative, spatio-temporal control capabilities, are minimal invasive and reversible. We engineered two blue light-inducible LOV-domain-based gene expression switches, to up- (Blue-ON) and down-regulate (Blue-OFF) gene expression, and performed a functional characterization in sporidia and hyphae of U. maydis. Profiting from the dynamic control ranges and rapid kinetics, we implemented the optogenetic switches to control cell morphology by initiating the transition from a haploid sporidial cellular morphotype to filaments upon regulation of the levels of the polarity factor Rac1 and its constitutive active mutant Q61L. In addition to showing how expression level of effectors can be precisely regulated as an approach to understand fungi-plants interaction, we show in two proof-of-principle applications targeted control over U. maydis filamentous fungal invasion of plant tissue and the mechanisms of tumor formation. For this we placed under Blue-ON and Blue-OFF control two U. maydis effectors, See1 (Seedling efficient effector 1) and TIN2 (Tumor inducing 2), and tumor formation was assayed on maize leaves. Taken together, this study established blue-light switches as effective tools to control morphogenesis and pathogenesis in U. maydis.

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BAM-BepA complexes in outer membrane protein quality control | Ncm

BAM-BepA complexes in outer membrane protein quality control | Ncm | RMH | Scoop.it

Correct folding of outer membrane proteins (OMPs) by the β-barrel assembly machinery (BAM) is essential for maintaining the outer membrane (OM) barrier function of diderm bacteria. When OMP biogenesis is perturbed, the β-barrel assembly enhancing protease A (BepA) binds to BAM to mediate quality control, but how BepA interacts with BAM and degrades substrate OMPs remains unclear. Here, cryoEM structures of BAM-bound BepA reveals that BepA induces large conformational changes in the BAM complex enabling the enzyme to poise its active site within the periplasmic ring of BAM, beneath the BamA barrel. The lid of BepA is dynamic, embedding two of its water-soluble helices deep into the membrane bilayer when BAM-bound, which readies BepA for proteolysis of misfolding OMPs. Movement of BepA’s plug is triggered by OMP binding rather than interaction with BAM, activating the enzyme for cleavage. We reveal BepA preferentially recognises Aromatic-X-Aromatic (Ar-X-Ar) motifs which are enriched in OMP sequences. The results reveal a mechanism for proteolytic degradation by BepA in OMP quality control which requires interaction with BAM, the membrane, and its OMP substrates. Here the authors show that BepA is activated to degrade stalled outer membrane proteins on BAM through binding to BAM, inducing conformational changes, membrane embedding its water-soluble lid, and triggering plug movement upon substrate binding to enable proteolysis.

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A microbial mirage: when microbiome metrics may obscure ecological meaning | msc

A microbial mirage: when microbiome metrics may obscure ecological meaning | msc | RMH | Scoop.it

Metrics such as alpha diversity, inferred functional potential and network complexity have become standard metrics in microbiome research. While they offer convenient ways to summarize complex data, these metrics may sometimes obscure more than they reveal. Alpha diversity, for example, measures richness and evenness. However, two samples may exhibit identical diversity scores, yet one could be dominated by beneficial taxa and the other by pathogens. Similarly, the presence of genes associated with particular functions does not guarantee that those functions are expressed or ecologically relevant under given conditions. Functional inference is also limited by database bias and often lacks empirical validation. Likewise, correlation-based network analyses can produce spurious associations driven by shared environmental covariates, sequencing depth or batch effects. These issues are routinely encountered in genomic workflows – from 16S/ITS amplicon surveys to shotgun metagenomics, genome-resolved metagenomics and gene-centric network analyses – where apparently ‘clean’ summary metrics can mask very different ecological realities. Here, we use simple, domain-relevant examples to illustrate how over-reliance on these metrics can lead to misinterpretation. Rather than rejecting these approaches, we outline when they are most informative, when they require caution and what complementary analyses can strengthen ecological inference. We propose a practical framework based on four questions: what exactly is being summarized, at what biological level, under which ecological conditions and with what form of validation? While acknowledging their value, we argue for greater critical scrutiny in their application and interpretation, and advocate for approaches that prioritize functional validation, temporal resolution and systems thinking to support more meaningful ecological insight.

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Amino acid sensing and signaling in plants | cin

Amino acid sensing and signaling in plants | cin | RMH | Scoop.it
Amino acids are central metabolic intermediates but they can also serve as metabolic signals conveying information on nutrient status, developmental state, and environmental conditions. This review summarizes current concepts and emerging mechanisms of amino acid sensing and signaling in plants. Recent progress has expanded our understanding of glutamate receptor–like channels (GLRs), which couple amino acid perception to Ca2+ signaling during root growth, wound responses and immunity. Plant-specific upstream regulators of the target of rapamycin (TOR) kinase complex have been identified that link amino acid sensing to growth control. New findings provide insight into tissue-specific functions of TOR as well as its integration with hormone signaling and amino acid metabolism. In addition, we discuss cysteine-dependent protein persulfidation as a post-translational modification integrating sulfur metabolism and redox regulation. Despite recent progress, mechanistic knowledge on amino acid signaling processes in plants is far from complete and the distinct metabolic context of autotrophy suggests that additional, potentially plant-specific sensing principles remain to be uncovered.
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Next-generation metabolic models: nonlinear resource allocation beyond the proteome | cin

Next-generation metabolic models: nonlinear resource allocation beyond the proteome | cin | RMH | Scoop.it
Recent years have seen a convergence between metabolic and whole-cell models, driven by advances that incorporate intracellular component concentrations into metabolic modeling frameworks. Constraint-based models have been extended to include enzyme levels and gene expression machinery, while kinetic models explicitly account for enzyme and metabolite concentrations through nonlinear rate laws. In parallel, coarse-grained self-replicator models have unified these elements within nonlinear optimization frameworks that also capture dilution by growth. Different streams of metabolic modeling are thus converging toward a new class of nonlinear resource allocation models, integrating kinetic rate laws, protein synthesis, and dilution by growth of all model components. These next-generation models are potentially closer to whole-cell models in predictive capacity, while remaining substantially simpler and therefore more readily applicable in research and engineering because of their lower curation demands. In this review, we summarize recent developments in metabolic modeling and outline the prospects for a next generation of metabolic models that integrates these advances.
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TranscriptFormer: A generative cell atlas across 1.5 billion years of evolution | sci

TranscriptFormer: A generative cell atlas across 1.5 billion years of evolution | sci | RMH | Scoop.it
Single-cell transcriptomics is revolutionizing our understanding of cellular diversity, yet comparing transcriptional programs across the tree of life remains challenging. We developed TranscriptFormer, a family of generative foundation models trained on up to 112 million cells spanning 1.53 billion years of evolution across 12 species. We demonstrate state-of-the-art performance on cell type classification, even for species separated by over 685 million years of evolution, and zero-shot disease state identification in human cells. Developmental trajectories, phylogenetic relationships, and cellular hierarchies emerge naturally in TranscriptFormer’s representations without any explicit training on these annotations. This work establishes a powerful framework for quantitative single-cell analysis and comparative cellular biology, thus demonstrating that universal principles of cellular organization can be learned and predicted across the tree of life.
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Microbes facilitate crude oil production in plateau oilfields

Microbes facilitate crude oil production in plateau oilfields | RMH | Scoop.it
Crude oil production has been enhanced using microbial-enhanced oil recovery (MEOR) in many oilfields. After over six years of MEOR test and field application in high-salt environments and unconventional oil reservoirs of plateau oilfields, MEOR mechanisms of emulsification, surface tension reduction, petroleum degradation, and reservoir microbial community structure adjustment were developed. Based on the core MEOR mechanisms of microbes, we carried out paraffin wax removal, single-well huff-puff, and microbial flooding in the Qinghai oilfield, thereby increasing oil production and sustaining economic benefits. These results demonstrate that microorganisms can be enhanced and applied in oilfields with large temperature differences, high salinity, and unconventional reservoirs.
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industry

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Upcycling food processing byproducts via advanced yeast fermentation | cin

Upcycling food processing byproducts via advanced yeast fermentation | cin | RMH | Scoop.it
Food processing byproducts are generated in large volumes yet remain underutilized despite their valuable biochemical composition. Fermentation-based upcycling offers a promising route to convert these byproducts into value-added products while supporting sustainable and circular food systems. However, food processing byproducts often contain polymeric substrates, mixed sugars, high osmolarity, mineral loads, and inhibitory compounds that reduce growth, fermentation efficiency, and process robustness. This review presents a yeast-forward perspective, highlighting engineered and stress-tolerant yeast platforms as scalable hosts for converting heterogeneous substrates. Recent advances in feedstock-specific microbial platform design, metabolic redox control, and process integration are highlighted, with applications in producing organic acids, functional ingredients, alcohols, and polyols. Economically viable byproduct upcycling requires coordinated optimization of feedstock properties, microbial metabolism, and integrated bioprocesses.
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Advances in tools and technologies for multiplexed bioluminescence imaging | cin

Advances in tools and technologies for multiplexed bioluminescence imaging | cin | RMH | Scoop.it
Bioluminescence is a popular method for noninvasive imaging of cells and other features. Visualizing multiple probes at once, though, has been historically challenging due to limited toolsets and suitable detection methods. This perspective focuses on recent advances in bioluminescence technology that are lowering the barrier to multiplexed imaging. We first discuss new luciferins and luciferases that are capable of resolving multiple targets. We then showcase the latest developments in luciferase-fluorescent probe engineering for multi-color readouts. Finally, we describe innovations in detection hardware for easier capture and resolution of bioluminescent emitters. Together, these advances are pushing the frontiers of what can be observed in living systems.
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Identification of integration site library for the development of plasmid-free microbial cell factory in Bacillus subtilis | ssb

Identification of integration site library for the development of plasmid-free microbial cell factory in Bacillus subtilis | ssb | RMH | Scoop.it
Bacillus subtilis was widely used for enzyme production and was gradually engineered to biosynthesize value-added chemicals with the development of genetic parts for it. Compared to other genetic parts for expression, the identified integration sites were fewer, which limits the development of B. subtilis. Here, a library of integration sites was developed for B. subtilis. All candidate sites were selected at the 3′-untranslated region of two opposite nonessential genes and separated by essential genes among genome to avoid the destruction for coding sequence of genes and eliminate the homologously recombined strains with the loss of essential genes. The expression of GFP and cell growth were detected for candidate sites to evaluate the gene expression strength and the influence on cell growth. As a result, 12 loci revealed higher gene expression level and cell growth compared with control site amyE, the highest expression site spxA was 1.89 times as high as amyE. Using the developed integration sites library, threefold gene expression range could be achieved without the replacement of promoter and RBS. When the integration site library was used to construct cell factories, the production of lacto-N-triose II and lycopene was increased by 95% and 83%, respectively. In addition, integration site library was also successfully used to increase the enzymatic activity of secretory β-galactosidase by 101% when the strain using spxA locus compared with that using amyE. The developed integration site library could accelerate the construction of stable and plasmid-free cell factories for B. subtilis in the future.
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Engineering commensal microbes for host health | chm

Engineering commensal microbes for host health | chm | RMH | Scoop.it
Engineered live biotherapeutic products (eLBPs) represent an emerging class of programmable microbial therapies capable of sensing and responding to host physiology. Advances in microbiome science and synthetic biology have driven the development of engineered bacteria that deliver therapeutic molecules, modulate host metabolism, or detect disease-associated signals. In this review, we summarize recent progress in the development of eLBPs across diverse disease indications, including inflammatory diseases, metabolic disorders, cancer, and infectious diseases. We highlight key factors that drive successful eLBP design, including chassis selection, methods for DNA delivery, approaches for tuning therapeutic expression, and genetic systems for biocontainment. Although early clinical studies demonstrate promising safety profiles, challenges remain in achieving predictable colonization, durable therapeutic activity, and robust biocontainment in vivo. By synthesizing advances across these areas, we propose a framework for the rational design of next-generation eLBPs that can more reliably translate from experimental systems to clinical application.
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Comparative characterization of Cas12a2 orthologs identifies high-activity nucleases for programmable cell elimination | Brvbe

Comparative characterization of Cas12a2 orthologs identifies high-activity nucleases for programmable cell elimination | Brvbe | RMH | Scoop.it

Cas12a2 CRISPR nucleases, including SuCas12a2, have been shown to have extensive collateral activity towards RNA, ssDNA, and dsDNA. This collateral activity results in targeted cell elimination and has applications across biotechnology, agriculture, and human health. We explored the natural genetic diversity of Cas12a2 nucleases and characterized nine novel orthologs in a DNA damage kinetic assay in E. coli. Three new Cas12a2 orthologs (RsCas12a2, SdCas12a2, and HmCas12a2) were shown to have high collateral activity towards DNA. These nucleases are highly divergent from SuCas12a2, have conserved core RuvC catalytic residues, and have sequence diversity in the previously reported aromatic clamp residues required for nucleic acid positioning in the active site. We defined PFS preferences and mismatch tolerance for each high-activity Cas12a2 nuclease, expanding the available Cas12a2 toolbox, and discovered functional differences with obvious impacts on downstream applications.

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1str

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Expanding The Algal Hydrogen Toolbox: A Non-GMO Platform Reveals Multiple Physiological Routes To Sustained Hydrogen Production Across Microalgae | brvbe

Expanding The Algal Hydrogen Toolbox: A Non-GMO Platform Reveals Multiple Physiological Routes To Sustained Hydrogen Production Across Microalgae | brvbe | RMH | Scoop.it

Sustainable hydrogen production from microalgae remains limited by intrinsic physiological constraints and the need to preserve biomass value for food and feed applications. Transgenic approaches to overcome these limitations were proven successful, yet result in genetically modified (GMO) strains that face major regulatory and deployment barriers. Here, we present a non-GMO experimental platform that enables systematic isolation of hydrogen-producing phenotypes through high-throughput UV mutagenesis pipline coupled with targeted physiological screening. Applying this approach across phylogenetically distinct algal species, including the industrial strain Chlorella vulgaris and the extremophile Chlorella ohadii, we achieve high discovery efficiency, recovering 0.4-0.6% validated hydrogen-producing mutants and achieving 6.7-25% validation rates among screen-positive candidates, indicating strong enrichment at the primary screening stage. We show that sustained hydrogen production represents a physiologically accessible state emerging across diverse genetic backgrounds. This state is consistently associated with reorganization of photosynthetic electron partitioning, yet arises through multiple distinct configurations that differentially balance hydrogen production, oxygen metabolism, and carbon fixation. This framework provides a scalable route to identify hydrogen-producing strains in industrially relevant algae without introducing foreign DNA and expands the accessible design space for photobiological hydrogen production.

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hts, colonies grown in duplicate under low light (control) vs. high light (selective stress). Colonies that grow normally under low light but fail or grow poorly under high light are "screen-positive." The logic: the well-characterized pgr5 mutant sustains H2 production but is also high-light sensitive, because its impaired cyclic electron flow around PSI disrupts redox balance and photoprotection.  other mutants with similarly disrupted electron partitioning — and thus similar potential for H2 production — would show that same high-light sensitivity. 

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Phylo-Plex: a phylogenetically informed, low-cost amplicon sequencing platform for deployable high-resolution genomic epidemiology | Ncm

Phylo-Plex: a phylogenetically informed, low-cost amplicon sequencing platform for deployable high-resolution genomic epidemiology | Ncm | RMH | Scoop.it

Genomic pathogen surveillance is a powerful tool for public health and research, but is costly and unachievable in low-resource settings. Most sub-genomic typing methods sacrifice resolution whilst remaining costly. We developed “Phylo-Plex”, a novel approach that identifies information-rich genomic regions to maximise phylogenetic information whilst minimising the number of regions. Applied to Treponema pallidum and Neisseria gonorrhoeae, we designed a high-resolution multiplex PCR sequencing scheme for lineage tracking pathogens with different extremes of genome variation. For Treponema pallidum, we also designed and evaluated the Phylo-Plex scheme in the laboratory and field settings by sequencing 72 clinical samples using MinION Flongle cells. Our T. pallidum scheme comprising 59 multiplex amplicons achieved high discrimination of fine-scale sublineages comparable to those defined using whole genomes, and demonstrating a qPCR detection limit ≤Ct 32. Variant calls from MinION amplicon sequencing were highly correlated with Illumina whole genome sequencing. We successfully deployed the method in a low-resource laboratory in Zimbabwe, costed at <£300/24 samples (£12.47/sample). Phylo-Plex enables low-cost tracking of priority pathogenic lineages in low resource settings and at scale. Whole genome sequencing of pathogens is costly to implement, and partial sequencing sacrifices information. Here, the authors present Phylo-Plex, a method for identifying information-rich genomic regions to enable sequencing of a subset of regions whilst maximising phylogenetic information.

mhryu@live.com's insight:

Input: whole genome sequences from multiple samples of interest, a reference genome for alignment, and predefined groups to discriminate (lineages or clusters derived from a phylogeny). The genomes are mapped to the reference, SNPs are called, and each SNP is tested for how well it distinguishes the predefined groups; SNPs that pass this threshold are then clustered by genomic proximity to find regions where enough distinguishing SNPs sit close together to fit inside a single short PCR amplicon. From these candidate regions, an algorithm picks the smallest set of regions that still gives every group enough supporting SNPs, and PCR primers are designed around that final set.

Output: a compact panel of PCR primers (amplicons) targeting the most informative regions of the genome, which can then be used to cheaply sequence new samples and assign them to the predefined groups without needing full genome sequencing.

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Evolving strategies for virus discovery | msc

Evolving strategies for virus discovery | msc | RMH | Scoop.it

Viruses interact with all domains of life and play fundamental roles in shaping biological systems from individual hosts to global ecosystems. Yet their identification remains difficult due to a lack of a universal marker gene and the extensive diversity of viral genomes. Despite this, the speed of viral discovery is quickly increasing, driven by the growing number of virome studies, improved sequencing technologies and the decreased cost of sequencing. In this review, we examine the evolution of virus identification approaches from classical and molecular methods to contemporary genome-resolved and computational frameworks. By aggregating genome-resolved virome studies from 2010 to early 2026 that meet defined criteria (n=502), we synthesize the current landscape of virus identification methods, including similarity-based, sequence-based artificial intelligence (AI) and hybrid approaches. We also highlight the key limitations of the current methods, particularly biases in reference databases that contribute to persistent viral ‘dark matter’. Finally, we identify emerging opportunities for the field in structure-based and AI-driven approaches that extend detection beyond sequence similarity and outline how these integrative frameworks are poised to improve virus discovery across ecosystems.

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Synthetic Gene Circuits: Methods and Protocols

Synthetic Gene Circuits: Methods and Protocols | RMH | Scoop.it

This book presents experimental and computational methods for constructing and interrogating synthetic gene circuits across multiple organizational scales.

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The role of the antimicrobial peptide nisin as a clean label food preservative | cin

The role of the antimicrobial peptide nisin as a clean label food preservative | cin | RMH | Scoop.it
The bacteriocin nisin can play a role in addressing the global need for safe, effective, and ‘clean label’ preservation strategies. Nisin A and its variants are among the most extensively studied antimicrobial peptides. Despite many advantages, nisin exhibits limitations in complex food matrices, including reduced solubility at neutral pH, susceptibility to proteolytic degradation, and poor activity against Gram-negative bacteria. We highlight recent advances aimed at overcoming these challenges, including novel delivery systems and the development of novel nisin variants with improved physicochemical properties, resistance to enzymatic degradation, and expanded antimicrobial spectra. Additionally, emerging research suggests a potential role for nisin as a functional food component capable of modulating the gut microbiome, although its effects appear context-dependent and require further investigation. We suggest that a diversified portfolio of nisin variants combined with advances in delivery strategies can position nisin and its variants as a key tool in the development of sustainable, safe, and minimally processed food.
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Understanding ripple effects in the gut microbiome | chm

Understanding ripple effects in the gut microbiome | chm | RMH | Scoop.it
Targeted perturbations of individual microbial taxa can propagate through complex ecological networks and generate ripple effects that reshape gut microbiota structure and function. Here, we discuss the need for predictive ecological and data-driven frameworks that enable precise and controllable microbiome engineering to minimize or leverage ripple effects.
mhryu@live.com's insight:

(A) Removal of individual species can create ripple effects throughout complex microbial interaction networks by triggering shifts in metabolic pathways, altering the host environment, and influencing immune responses, all of which causes a series of changes in community composition and functional outputs. (B) Ripple effects can be experimentally dissected using bottom-up synthetic communities or top-down perturbations of natural communities with phages and phage-derived lysins. (C) Ecological models and AI-based approaches enable in silico perturbations to predict community dynamics and functional consequences following targeted species removal.

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Fungal endophytes in biocontrol of plant fungal pathogens: Current landscape, mechanisms, drivers, bottlenecks, and future directions

Fungal endophytes in biocontrol of plant fungal pathogens: Current landscape, mechanisms, drivers, bottlenecks, and future directions | RMH | Scoop.it
The escalating global concerns over chemical pesticide usage and increasing pest pressures under climate change underscore the urgent need for sustainable biocontrol strategies. Fungal endophytes have emerged as promising agents for managing fungal plant pathogens. However, a comprehensive synthesis specifically focused on fungal endophyte-mediated biocontrol of fungal diseases has been lacking. Here, we analyze 115 studies documenting fungal endophyte-mediated biocontrol across diverse crop diseases. Our analysis identifies Trichoderma, Aspergillus, Fusarium, Penicillium, Colletotrichum, and Alternaria as the most frequently investigated endophyte genera, with wheat, tomato, and grapevine as the most common sources. Herbaceous plants dominate as endophyte sources, while cultivated plants are sampled nearly twice as often as wild plants, revealing significant sampling biases. Root-derived endophytes are most frequently studied, whereas reproductive tissues remain underexplored despite their potential for vertical transmission. We provide a comprehensive overview of seven key biocontrol mechanisms: antibiosis, competition, induced systemic resistance, mycoparasitism, defense signaling modulation, volatile organic compound production, and growth-defense tradeoffs. Notably, 74% of studies report multifactorial mechanisms operating concurrently, underscoring the synergistic nature of endophyte-mediated protection. Critical translational gaps are identified: only 17% of studies have progressed to field validation, and single-strain applications dominate (64% of studies) while mixed consortia remain underoptimized. We also examine factors influencing biocontrol efficacy, including endophyte-host compatibility, environmental conditions, and plant genotype, alongside challenges in evaluation methods, field-scale assessments, long-term monitoring, and economic considerations. This review advances our understanding of fungal endophyte-mediated disease control and provides insights for developing sustainable agricultural technologies.
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Unlocking the biotechnological potential of traditional fermented food microbiomes | cin

Fermented foods are a globally important source of dietary microbes, cultural heritage, and functional diversity, yet current microbiome research captures only a narrow fraction of this richness. Public sequencing datasets are heavily skewed toward a limited set of regions and fermentation types, leaving vast areas of geographic, substrate, and process diversity underrepresented. This imbalance constrains the discovery of novel microbial species, enzymes, and biosynthetic capacities, and risks accelerating homogenization through standardized starter cultures. We argue that coordinated, ethically grounded global efforts integrating metagenomics, multi-omics, standardized metadata, and biobanking are urgently needed to document, preserve, and responsibly leverage fermented food microbial diversity for sustainable food systems and innovation.
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Medicinal plants fermentation: current knowledge and perspectives | cin

Medicinal plants fermentation: current knowledge and perspectives | cin | RMH | Scoop.it
Fermentation improves medicinal plants in functional foods, nutraceuticals, and phytomedicine. Many plants have bioactive compounds trapped in complex matrices, limited by low bioavailability, toxins, anti-nutritional compounds, bitterness, astringency, and/or off-flavors. Recent studies show fermentation enhances plant value through bioactivity modulation, detoxification, safety, and sensory optimization. Effects are achieved via the release of bound phytochemicals, polyphenol transformation, new metabolites, reduction of toxins, microbe control, and reshaping of aroma and taste. Emerging systems like moringa, noni, and chaga show microbial biotransformation that addresses substrate challenges and supports product development. However, raw material variability, inconsistent protocols, unclear mechanisms, and limited validation restrict progress. Future studies should emphasize standardized systems, multi-omics-based mechanism analysis, host and microbiome evaluation, precision fermentation, and product design with regulatory considerations. Overall, fermentation provides a promising framework for functional products with improved bioactivity, safety, sensory quality, and translational potential.
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Metabolic state-driven monitoring and control of abnormal pigment formation in sodium gluconate fermentation by Aspergillus niger | ssb

Metabolic state-driven monitoring and control of abnormal pigment formation in sodium gluconate fermentation by Aspergillus niger | ssb | RMH | Scoop.it
Abnormal pigment formation during late-stage fungal fermentation poses a significant challenge to industrial product quality. This study established an integrated framework to understand and control pigmentation in Aspergillus niger sodium gluconate fermentation. First, a metabolism-oriented scale-down strategy, simulating industrial glucose consumption trajectories, confirmed that metabolic rate deterioration drives pigment accumulation. Crucially, a rate-driven soft sensing strategy was developed by integrating online Raman spectroscopy, which provided real-time kinetic inputs to significantly enhance pigment prediction accuracy. Guided by this monitoring framework, inorganic salt composition was optimized to stabilize metabolic activity, effectively suppressing pigment formation. Crucially, fermentation validation confirmed that the strategy effectively suppressed abnormal pigmentation, even under existing imperfect oxygen supply conditions. This work presented a transferable engineering paradigm that combines metabolic characterization, intelligent spectral monitoring, and rational nutritional intervention, offering a robust solution for quality control in large-scale fungal fermentations.
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Development and characterization of a Cre/loxP toolkit for genome engineering in Komagataella phaffii | ssb

Development and characterization of a Cre/loxP toolkit for genome engineering in Komagataella phaffii | ssb | RMH | Scoop.it
The Cre/loxP system is a versatile tool for genome engineering, yet its application in the industrial yeast Komagataella phaffii has been limited primarily to marker recycling. This study reports a comprehensive Cre/loxP toolkit for K. phaffii. The N-terminal SV40 NLS fusion (NLS-Cre) was identified as the optimal expression strategy balancing high recombination efficiency (24.6%) with minimal cellular toxicity. Further, site-specific integration, inversion, and replacement were experimentally validated, demonstrating multiple recombination functionalities of the Cre/loxP systems in this host. High-throughput screening of 60 loxP variants revealed a structure-activity relationship, that is, spacer mutations frequently retained high recombination activity, whereas inverted repeat mutations uniformly abolished function. Therein, 12 variants with efficiency over 65% were identified, including five exceeding 80% (lox2271, loxm52, loxm71, lox514, and lox5171). Orthogonality assessment identified four variants (loxm72, loxm41, lox5272, loxm71) highly orthogonal to the wild-type loxP, offering potential for sequential genome engineering in strains with pre-existing sites. The obtained toolkit provides the first systematic validation of multiple recombination functions and loxP variants in K. phaffii, offering foundational components for genome engineering in this industrial strain.
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