Nature Communications

How new enzymatic activities become integrated with existing metabolic networks to generate lineage-restricted plant chemistry remains a central question in metabolic evolution, exemplified by gingerol biosynthesis in Zingiberaceae, whose complete enzymatic basis has remained elusive. Here, we resolve this problem by elucidating the evolutionary origins and the full biosynthetic pathway of gingerol through single-cell transcriptomics, functional screening, structural biology, comparative genomics and pathway reconstruction. A coordinated metabolic program operates in ginger oil cells, thereby guiding the identification of diketide-CoA synthases, gingerol synthases (GS) and gingerol reductases that together constitute the complete pathway. GS remodels the conserved type III polyketide synthase scaffold to organize a fatty acyl-CoA and a phenylpropanoid-derived intermediate for gingerol formation. Furthermore, GS arose through duplication and limited active-site remodeling of a curcumin synthase-like enzyme, accompanied by coordinated recruitment of precursor-supply and reduction pathways. Translating these principles into yeast achieves the first de novo microbial production of 6-gingerol from glucose at 12.4 mg/L. These findings reveal the evolutionary logic by which plants recruit and coordinate novel enzymatic activities to establish lineage-restricted metabolic program, providing a framework for understanding and engineering specialized metabolism across the plant kingdom.

Dictating cell growth and morphology, cellulose biosynthesis is intrinsic to plant cell biology. Accordingly, cellulose biosynthesis inhibitors (CBIs) are important herbicides, toxins, and experimental tools. We currently lack mechanistic understanding of CBI activity, preventing engineering of herbicide selectivity and disease immunity. Contrasting classical inhibitors, we unexpectedly identify the unusual Streptomyces phytotoxin thaxtomin A as the only in vitro-active CBI, with unprecedentedly broad-spectrum activity against various cellulose synthase enzymes. High-resolution cryo-electron microscopy reveals that thaxtomin A leverages exotic nitroaromatic chemistry to target a strictly conserved site in cellulose synthases polysaccharide secretion channel. Strikingly, in vitro biosynthesis and biophysical assays demonstrate thaxtomin As near-picomolar efficacy. Plant and algal systems reveal that its global arrest of cellulose biosynthesis produces an osmotically driven crisis in expanding cells. Finally, site-directed mutagenesis generates the first toxin-resistant cellulose synthase. Our results underscore celluloses critical function in plant lifeforms and inform efforts to inhibit related enzymes across kingdoms.

The 2026 Bundibugyo virus outbreak emerged in a region with frequent conflict, food insecurity, rainforest and mining-related human mobility in Ituri province in the north-eastern region of the Democratic Republic of Congo (DRC). Existing ecological niche models have identified regions environmentally suitable for orthoebolavirus circulation but do not explicitly account for anthropogenic conditions that shape opportunities for interspecies contact, such as wildlife-to-human, and zoonotic spillover. Here, we update habitat suitability models for three putative orthoebolavirus reservoir bat species and for orthoebolavirus, and develop an integrated spatial spillover risk framework that combines ecological suitability with anthropogenic drivers, including human settlement, mining activity, bushmeat-related activities, forest loss, and conflict. We find that the updated model reveals previously under-predicted suitability in eastern DRC, and that the integration of anthropogenic factors with orthoebolavirus habitat suitability improves the prediction of historical zoonotic spillover locations. Boyce Index (measure of spatial predictive accuracy) increases from 0.78 to 0.97 when ecological suitability was combined with the built environment, while mining- and bushmeat-based scenarios showed the greatest enrichment of observed spillover events. We also find a temporal association of the relative contribution of habitat suitability and anthropogenic factors, with mining showing the largest and most consistent effect over the last decade, and conflict acting as a secondary amplifying factor whose apparent contribution has grown in recent periods. Together, these findings demonstrate that ecological suitability alone does not fully characterize landscapes vulnerable to Ebola zoonotic emergence and highlight the value of integrating environmental and anthropogenic information to strengthen One Health surveillance, epidemic preparedness, and targeted public health interventions in the DRC and neighboring countries.

OXA-48 carbapenemases are among the most widespread and important resistance mechanisms in Enterobacterales. Yet detecting carbapenemases by conventional workflows necessitates additional testing, thus delaying optimization of therapy and implementation of infection control measures. Here, we present a machine learning approach that identifies the conserved pOXA-48 plasmid directly from routine MALDI-TOF spectra acquired for species identification. The model detects pOXA-48 carriers with an AUROC of 0.96-0.98 across two independent hospital cohorts and instrument platforms, indicating near-perfect discrimination. Using bottom-up proteomics, plasmid conjugation, and plasmid curing, we link the discriminative MALDI-TOF spectral features to proteins encoded on pOXA-48, with DUF1496 domain-containing protein producing the most discriminative spectral feature. Our approach reframes the resistance prediction task from inferring a resistance phenotype to detecting a conserved plasmid through its expressed proteomic signature and has the potential to enable rapid MALDI-TOF MS-based diagnostics for a wide range of plasmid-based resistance determinants.

Affinity reagents such as antibodies are indispensable for interrogating proteins biological function. Yet they are costly and frequently unreliable, with unknown sequences, posing challenges to reproducible experimental research. Deep learning-based protein design can now in silico generate affinity reagents achieving reliable experimental success rates, but has remained largely confined to specialist laboratories. Here we present the Human Bindome, a proteome-scale atlas of high-confidence in silico protein binder candidates. By embedding the experimentally benchmarked BindCraft method in an accelerated, parallelized framework with automated domain-level target selection, we generated 306,146 binder candidates covering 8,296 human proteins (40.9% of the full proteome). Every candidate carries a defined sequence, a predicted binder-target structure model, and in silico confidence metrics. We characterize proteome-wide coverage and show that binder epitopes frequently overlap functional sites. This positions the Bindome as a resource of genetically encodable perturbagens for site-specific, modular control of protein function. The Bindome is freely available through a web interface (https://bindome.epfl.ch), with agentic, natural-language querying and as data splits for machine-learning model development. We anticipate that the Bindome will be valuable for the scientific community by providing affinity and perturbation reagents with broad applications in dissecting biological mechanisms as well as in drug and target discovery.

Deubiquitylases modulate cellular processes by cleaving monoubiquitin or polyubiquitin chains. The ARISC-RAP80 complex partners with BRCA1-BARD1 to form the BRCA1-A super-complex, which recognizes K63-linked ubiquitin chains at DNA damage sites. ARISC-RAP80 contains multiple ubiquitin-binding sites, yet how these influence recognition and cleavage of K63-polyubiquitylated substrates remains unknown. We discover that a composite three-subunit interface allows ARISC-RAP80 to position K63-linked polyubiquitin chains in its catalytic site. Substrate recognition is further supported by RAP80 and non-catalytic ubiquitin-binding sites that impose a compact conformation to K63-polyubiquitylated substrates. This mechanism exploits the inherent flexibility of long ubiquitin chains and differs considerably from other deubiquitylases. Structure-guided mutagenesis validate ubiquitin chain interactions, and cell-based assays demonstrate a functional role of the observed interfaces in chromatin recruitment. Our findings define mechanisms of polyubiquitin chain decoding and cleavage by ARISC-RAP80, linking ubiquitin reading and erasing functions to BRCA1-A mediated DNA damage responses.

Methanogenic archaea conserve energy by coupling methyl-group transfer to the generation of a chemiosmotic sodium-ion (Na+) gradient. This central energy-conserving step is catalyzed by the membrane-bound N5-methyl-H4MPT:coenzyme M methyltransferase (Mtr). Here, we present high-resolution cryo-electron microscopy structures of the Mtr complex from Methanosarcina mazei determined under strictly anaerobic conditions. The structures reveal an unexpected, electron-dense metallocluster embedded within the central cavity of the MtrCDE trimer in the membrane plane. Based on the unique topology and density we modeled it as an [FeSC] L-type cluster. It is positioned adjacent to both the coenzyme M substrate and the corrinoid cofactor of MtrA in the MtrA-MtrCDE engaged state, thereby being located right at the catalytic core of the enzyme. We could further show that binding of MtrA to MtrCDE triggers rearrangements within the interface of MtrDE that widen a putative ion-conduction pathway. The proximity of the conserved sodium-binding site to the catalytic center suggests a putative link between methyl-transfer chemistry and Na+ translocation. In a broader context, these findings improve our understanding of how methyl transfer, analogous to redox chemistry, can drive chemiosmotic energy conversion.

De novo protein design is advancing rapidly1,2. This is being driven by AI to generate protein backbones, sequences, and structural models3-7. As a result, de novo designed proteins are becoming larger and more complex8-10, and increasingly explore new protein structures11,12. By contrast, natural proteins have evolved structural and functional complexity by modular combination of recurring protein domains13. Approximately 25% of these natural domains are mostly -helical structures14. Here we show how these can be expanded using rational computational design. Following the domain classification scheme CATH15, we build complex all- de novo proteins hierarchically using sequence-to-structure relationships for helix-helix interactions, systematic rules to connect helices, computational tools to design loops, and in silico evaluation. The pipeline starts with a target architecture of free-standing helices. These are connected into a topology by considering local arrangements of helical bundles using understood sequence-to-structure relationships for helix packing. Single-chain sequences are completed using template- and AI-based methods. Finally, AlphaFold models are assessed to give small numbers of designs for experimental validation. We test 31 designs for 14 different architectures and 25 topologies. 75% of these express as stable, monomeric, water-soluble proteins; and >30% yield X-ray crystal structures matching the designs to atomic accuracy and with new-to-nature structures. Finally, several of the scaffolds are functionalised through one-shot designs to deliver ion, small-molecule and protein binders.

Polymerisation and disassembly govern the cellular functions of cytoskeletal proteins. In canonical nucleotide-dependent polymers such as actin and tubulin, nucleotide exchange occurs in soluble subunits but not within intact protofilaments. By contrast, the assembly dynamics and nucleotide dependency of the prokaryotic actin homolog MreB, whose polymerization into membrane-associated filaments is essential for bacterial cell morphogenesis, remain poorly understood. We used total internal reflection fluorescence microscopy and high-speed atomic force microscopy to monitor the assembly of MreB on supported lipid bilayers in real time. ATP binding triggers MreB polymerization into symmetrically elongating pairs of filaments on cardiolipin-containing membranes. While ATP hydrolysis occurs within filaments and contributes to endwise disassembly, continuous nucleotide exchange within filaments tunes their stability on the membrane. Nucleotide cycling within MreB filaments defines a new class of biological polymer behavior and highlights the evolutionary divergence of mechanisms governing actin homologs assembly dynamics.

No open atlas of ultra-processed food supply exists with documented predictive validity across countries, and the global non-communicable disease burden linked to such foods, estimated under counterfactual exposure scenarios with transparently decomposed uncertainty, has not been quantified within a single framework. We built a machine-learning-imputed atlas of the share of dietary energy from ultra-processed food for 174 countries over 2010 to 2023, mapping 44 published national estimates onto food supply structure via Random Forest regression with leave-one-country-out validation. Five linked evaluations follow: an ecological phenome-wide association study across 27 non-communicable disease outcomes; a potential impact fraction estimation with time-varying exposure and a five-layer sensitivity decomposition; a 60-year generational evaluation of processed macro-ingredient supply; a synthetic-control assessment of sugar-sweetened beverage taxation across 16 countries; and a cross-level comparison of ecological and individual-level effect magnitudes using nationally representative survey data. The supply-side estimate yields a range of 1.6 to 9.5 million disability-adjusted life years in 2021. A credibility-discounted figure places the burden at roughly 3.6 million. Burden growth from 2010 to 2021 was entirely denominator-driven: population ageing and disease prevalence expansion supplied 103% of the increase, while changing supply contributed minus 3 percent. This holds consistently with a 20-year generation-lag between dietary-structure change and population obesity. Leave-region-out cross-validation returns zero generalisability for Latin America and the Caribbean. The denominator-driven pattern does not imply ultra-processed food is harmless; it indicates the processed-food environment was structurally established in most countries by 2010. The atlas, sensitivity framework, and all code are released as public-health infrastructure.

The iron (Fe) nitrogenase drives bacterial methane (CH4) formation by converting carbon dioxide (CO2) to CH4 in a single enzymatic step. Enhancing the initial CH4 formation activity of Fe-nitrogenase and expanding the product spectrum to hydrocarbon chains could lead to a route for sustainable feedstock chemicals. Here, we performed the first directed evolution campaign on the Fe-nitrogenase aimed at optimizing the hydrocarbon production. We achieved an ~8-fold increase in CH4 formation by Fe-nitrogenase expressing Rhodobacter capsulatus cultures in three rounds of site-saturation mutagenesis. The best performing mutant (F362ManfD, Y85FanfD, T360SanfD) extends the in vivo product spectrum of the nitrogenase to ethane (C2H6) and exhibits 6-fold higher rates for CO production in vitro, whereas the formation of the undesirable byproduct formate was abolished. Electron microscopy-based structural analysis identified a methionine and water potentially stabilizing the transition state and fine-tuning the CO2 reduction mechanism and activity.

Whether different pathogens acquire resistance to antimicrobials through the same mutations is a major question in evolution and microbiology. Most antifungal drugs are used to treat infections caused by multiple fungal species, many of which have diverged for millions of years. If the evolution of resistance was to converge onto the same set of mutations across species, knowing the mechanism of resistance in one would allow us to predict and track it in others. The extent of this convergence remains unknown due to the lack of systematic data on resistance mutations. Here, we quantify the conservation of resistance mutations in the cytosine deaminase (CD), a protein responsible for resistance to flucytosine, one of the oldest antifungal drugs. By comparing the crystal structures of this enzyme through 600 My of evolution, we show that the CD structure is highly conserved. We compared the full CD mutational resistance spectrum of resistance from an ascomycete and a basidiomycete. We found that resistance mutations in one ortholog can be used to predict resistance in the other at a high level of accuracy. However, because of epistasis, around 10% of mutations have distinct effects in the two orthologs, which imposes an upper limit to the transferability of the knowledge of resistance mutations from one species to another. Using biochemical assays and by structural characterization of several mutants, we identify distinct mechanisms of epistasis, one important being that the local physiochemical environment of some position has evolved in a way that makes the same substitutions destabilizing or entirely inactivating in an ortholog-specific manner. Our results show that resistance mutations can be conserved in fungi across hundreds of millions of years of evolution but that epistasis eventually limits the accuracy of these predictions.

Mutations in MYO7A result in the most severe subtype of Usher syndrome, the leading genetic cause of deafblindness. The large size of MYO7A requires dual adeno-associated virus (AAV) vectors for gene transfer or alternative methods to treat retinal defects. Here, we evaluated two treatment approaches: i) Supplementation of the human MYO7A gene via dual mRNA trans-splicing AAVs, and ii) CRISPR/Cas-mediated activation of the related murine Myo7b gene. Upon MYO7A supplementation, the transgenic MYO7A transcript and protein were expressed and correctly localized in retinal pigment epithelial (RPE) and photoreceptors of mice, pigs, and human retinal organoids. In RPE-and photoreceptor-specific Myo7a knockout mice, we could restore MYO7A expression and localization of melanosomes in RPE cells to wild-type levels. Myo7b activation led to partial restoration of melanosome localization, and the localization of MYO7B protein was largely comparable to MYO7A. These findings indicate that both approaches are in principle suitable for the therapy of Usher syndrome.

OptoGPCRs are light-activatable G protein-coupled receptors (GPCRs) used for optogenetic control of physiological processes. Most existing optoGPCRs are based on monostable opsins, which are limited by photobleaching and irreversibility. The bistable jumping spider rhodopsin 1 (JSR1) carrying the single point mutant S199F introduces a [~]150 nm spectral separation between the active and inactive states, enabling bidirectional control with distinct wavelengths of light. Here, we show that JSR1-S199F demonstrates robust, light-reversible arrestin recruitment and Gq/i protein activity. We then engineered JSR1-S199F-based optoGPCRs with Gs protein activity, expanding the limited repertoire of bistable Gs-coupled opsins. Specifically, we present optoDRD1, a chimeric optoGPCR that redirects the native Gq/i protein activity of JSR1 towards the Gs pathway of the dopamine D1 receptor (DRD1). Through systematic screening of intracellular domain combinations, we identified an optimal chimeric configuration comprising ICL2, ICL3, helix 8, and the C-terminus from DRD1. The resulting optoGPCR is activated by violet light ({lambda}max = 397 nm) and deactivated by green light ({lambda}max = 531 nm) at physiologically relevant light intensities. A single violet light pulse drives sustained Gs signalling for several hours, while green light deactivation enables precise signal termination at any timepoint. OptoDRD1 closely mimics wild-type DRD1 signalling kinetics and G protein selectivity. Compared to JellyOp, the only previously characterised natively Gs-coupled opsin, optoDRD1 shows higher signal amplitude and reversibility over multiple light cycles. We further demonstrate optoDRD1s utility for optogenetic control of Gs-regulated processes in vitro, including insulin secretion in human {beta}-cells and signalling modulation in a neuronal cell line, supporting its potential for in vivo applications. The biochemical stability and known structure of JSR1 make it a robust scaffold for this rational engineering and for future biophysical characterization. Together, optoDRD1 and JSR1-S199F expand the optoGPCR toolkit and open new opportunities for dissecting dopaminergic signalling, Gs-mediated physiology, and GPCR signalling pharmacology.

Anthelmintic resistance poses a critical threat to livestock health, with clinical failures of eprinomectin and other macrocyclic lactones documented in the gastrointestinal parasite Haemonchus contortus worldwide. We performed whole-genome Pool-seq of larvae and RNA-seq on adult male and female worms from five phenotypically characterised isolates - two eprinomectin-susceptible and three resistant - from dairy sheep in Southwest France. We identified a conserved macrocyclic lactone resistance locus on chromosome 5 and a putatively eprinomectin-specific locus on chromosome 4, alongside sex-specific transcriptomic responses linking genomic selection signatures to transcriptional phenotype. Predicted functions of selected and differentially expressed genes support reorganisation of neuronal circuits in drug responsiveness, including the kynurenine pathway producing neuroactive metabolites, further supported by quinolinic acid potentiating eprinomectin efficacy in larval assays. Despite geographic proximity, resistance appears to have evolved independently across farms. Together, these findings reveal a complex genetic architecture underlying eprinomectin resistance with implications for targeted diagnostics and resistance management.

DNA gyrase is an essential bacterial enzyme and a clinically validated target for the treatment of tuberculosis. However, the discovery of new inhibitors remains limited by the many challenges regarding the manipulation on pathogenic mycobacteria. This study validates Corynebacterium glutamicum (Cglu) as a safe, non-pathogenic surrogate for Mycobacterium tuberculosis (Mtb) to investigate DNA gyrase and facilitate the identification of new inhibitors. Using Cglu as a target allows for fast whole-cell screening under safe conditions while ensuring efficient drug uptake. Cglu shares key physiological features with Mtb, including genome size, complex cell wall structure, and a single type I and type II topoisomerase. Structural and functional comparisons emphasize the similarity of Cglu and Mtb gyrases, which share 70% sequence identity and show comparable catalytic properties and responsiveness to known inhibitors. Thus, the cryo-EM structure of the Cglu gyrase-DNA complex at 3.2 [A] resolution reveals highly conserved drug-binding pockets for known anti-gyrase inhibitors and the genetic depletion of gyrA or gyrB in Cglu causes severe growth and morphological defects, mirroring the effects of chemical inhibition and allowing to link gyrase function to cellular phenotypes. Comparative imaging of different inhibitor classes (fluoroquinolones, aminocoumarins, NBTIs) uncovers distinct morphological signatures that reflect each compounds mode of action. Finally, cross-species complementation confirms functional conservation but also highlights subtle structural differences affecting efficiency. Together, these findings establish Cglu as a robust and biosafe model for dissecting gyrase function, visualizing DNA topology dynamics, and accelerating the discovery of gyrase-targeting antimicrobials. More generally, our studies demonstrate the feasibility of using Cglu as a cell-based screening platform to discover new anti-tuberculous compounds targeting conserved mechanisms, not only for validated TB drug targets such as DNA gyrase but also for new, yet to be identified, targets.

In roots, the endodermis controls nutrient entry by forming a barrier known as the Casparian strip1-3. Yet how barrier-associated processes interface with systemic signaling remains unclear. Here, we show that the receptor kinase SCHENGEN3 links local barrier surveillance to systemic nutrient signaling, with outputs that depend on the effective state of ligand perception. Unlike in Arabidopsis thaliana, SCHENGEN3 activation in Lotus japonicus requires a distinct cellular competence state and cannot be triggered by exogenous ligands alone, revealing evolutionary divergence in pathway deployment. Cross-species complementation uncouples systemic nitrogen signaling from Casparian strip formation, while transcriptomic and phosphoproteomic analyses reveal largely non-overlapping signaling- and barrier-associated programs that differ between agar and agricultural soil conditions. Mechanistically, receptor-ligand comparisons, engineered receptor variants, and co-receptor mutant analyses show that systemic nitrogen signaling is retained in receptor-perception states that are insufficient to support full Casparian strip establishment. Together, these findings reveal how a shared receptor module can separate developmental and physiological outputs by linking receptor perception state to output specificity.

Hereditary coproporphyria (HCP) -- caused by variants in coproporphyrinogen oxidase (CPOX) -- can be diagnosed via genome sequencing. However, 74% of clinically-reported CPOX missense variants are classified as variants of uncertain significance (VUS) due to lack of evidence. CPOX variant classification is further complicated by environment-dependence: For example, the CPOX variant p.Asn272His (c.814A>C) is classified as benign yet has been associated with HCP-like symptoms in the context of mercury exposure. Here we measured the functional impact of nearly all possible CPOX amino acid substitutions in both the presence and absence of mercury. The resulting CPOX variant effect maps reflect known protein structure and mutational tolerance patterns while also offering new sequence-structure-function insights. Scores from this atlas not only distinguish pathogenic from benign variants but also identify mercury-dependent variant impacts, thus informing our clinical, structural, and functional understanding of CPOX deficiency and illustrating the value of systematic context-dependent multiplexed assays of genetic variant effects.

Cryo-electron microscopy (cryo-EM) has revealed disease-specific tau filament folds, yet the local sequence elements that determine them remain poorly understood. Here we focused on the 329HHK331 motif near an inter-protofilament interface in Alzheimer's disease (AD)-type tau filaments, and analyzed recombinant dGAE filaments of wild-type (WT) and mutants in this motif. All mutants formed amyloid-like filaments in vitro, but their morphologies differed. In cultured cells, WT filaments efficiently seeded WT tau aggregation. Filaments with three-residue changes (deletion or Ala substitution) showed almost no seeding activity, whereas two-residue deletions retained partial activity. Cryo-EM showed that WT dGAE filaments form a quadruple helical filament of two protofilament dimers. Each dimer comprises two C-shaped protofilaments, centered on a 333GGG335-mediated inter-protofilament interaction and supported by flanking 329HHK331-336QVE338 contacts. Three-residue alterations abolished interactions with the QVE motif at the protofilament interface, thereby displacing 333GGG335 and forming non-C-shaped protofilament structures that are intrinsically poor templates for tau seeding. By contrast, two-residue deletions maintained the C-shaped protofilament structure because the remaining residue formed alternative inter-protofilament interactions. These findings suggest that the 329HHK331 region is a key determinant of the AD-like C-shaped protofilament fold and link this motif to tau seeding, providing insight into disease-specific tau filament formation.

Antimicrobial resistance databases are central to genomic surveillance, but resistance determinants remain distributed across resources with different scopes, structures, and annotations. We developed PanRes, a curated resistance database of 11,717 genes integrating acquired and latent determinants of antibiotic, biocide, and metal resistance within a unified ontology. We predicted representative protein structures and clustered them by structural similarity, grouping proteins into 598 structurally conserved clusters coherent despite sequence divergence. Their structure-guided alignments were used to build Hidden Markov Models (HMMs) for remote homology search. In wastewater metagenomes from seven European cities, PanRes 3D-based HMMs expanded detection beyond high-confidence BLAST, with 35.2% of retained hits identified only by the HMMs and generally showing greater divergence from known proteins. For beta-lactamases, several proteins retained beta-lactamase-like folds and catalytic geometry despite weak sequence similarity. PanRes is available through an interactive web platform (https://panres.rambio.dk/), a structure-informed resource for exploring the whole resistome.