Nature Plants

Introductory paragraphWheat provides about 20% of total dietary calories worldside1. Wheat diseases, including wheat stripe (yellow) rust, cause billions of dollars in losses each year2. Wheat stripe (yellow) rust is caused by the fungal pathogen Puccinia striiformis f. sp. tritici (Pst) which is best controlled by fungicide application and disease resistant wheat cultivars3. To-date, there are over 80 catalogued and >10 cloned yellow rust resistance genes (Yr genes)4. Yet our knowledge of corresponding avirulence (Avr) genes lags far behind5-8. The absence of cloned Avrs reflects Psts complex genome and the lack of robust transformation and genetic systems3. Recent advances in generating high-quality genome assemblies and the development of wheat defense assays have addressed these challenges9-11. Here we clone AvrYr7 which is recognized by Yr712. We further identify six additional alleles of AvrYr7 that escape recognition due to non-synonymous genetic variations, transposable element activity, missense mutation, and expression polymorphism. These findings provide critical insights into virulence evolution in one of the worlds most important wheat pathogens.

Plant cell wall enlargement is fundamental to crop productivity and its sensitivity to drought1. Tip growth and diffuse growth are contrasting wall enlargement patterns often proposed to be limited by different processes: localized secretion and remodeling of pectins for tip growth versus loosening and sliding of cellulosic networks by -expansins (EXPAs) for diffuse growth2,3. Here, we knocked out root-hair specific EXPA7 and EXPA18 in Arabidopsis, abolishing root-hair tip growth which was restored by complementation with genes from some, but not all, expansin clades. Notably, EXPA13 and EXPA20 failed to complement; they belong to two ancient clades lacking a highly conserved Asp considered essential for expansin activity. Mutation of this Asp in EXPA7 confirmed its requirement for wall enlargement. EXPA-mCherry fusions revealed widely contrasting patterns of subcellular trafficking and wall-binding for different EXPAs. The results demonstrate an essential EXPA requirement for root-hair tip growth and uncover a greater diversity of expansin functions than previously recognized.

Quantitative pollen viability analysis is a critical but labor-intensive step in plant reproductive biology. Existing deep-learning Segment Anything Models (SAM) fail to reliably segment viable pollen in Alexander-stained anthers. To address this, we fine-tuned an existing Cellpose-SAM model for pollen segmentation. We integrated it into PAT (Pollen Analysis Tool), a cross-platform desktop application. PAT features instance segmentation with interactive quality control, an in-app model retraining module, and publication-ready statistical outputs. We deployed PAT in an EMS suppressor screen of semi-sterile Arabidopsis smg7-6 mutants, enabling efficient candidate prioritization for whole genome sequencing and mapping candidate mutation. This screen led to the identification of a point mutation in CAP-D2 (capd2-2), a Condensin I subunit, that rescues the smg7-6 meiotic phenotype. Notably, mutation in a Condensin II subunits (CAP-D3 and CAP-H2) does not confer rescue. Further characterization suggests the capd2-2 allele is hypomorphic, showing no defects in vegetative growth, chromocenter compaction, or transposable element silencing. Collectively, we demonstrate that accessible AI tools have the potential to bridge gaps in plant phenotyping and accelerate the pace of biological discovery. HighlightWe combined AI-powered image analysis with an easy-to-use desktop app to automate plant pollen counting, then used it to identify a new genetic suppressor of meiotic defects.

In plant cells, the multi-domain proteins FRIENDLY and REC regulate the cellular organization, distribution and proliferation of mitochondria and plastids, respectively. Both proteins share a similar overall domain architecture and belong to the larger CLUSTERED MITOCHONDRIA (CLU) superfamily. Domains of CLU proteins have been shown to interact with translation related proteins, tRNA synthetases and even mRNA, but their exact modes of operation remain cryptic and how organelle specificity of CLU paralogs in plant cells is achieved unknown. We characterized the single CLU family protein of the liverwort Marchantia polymorpha that we demonstrate to be transcribed either with or without exon 22, which changes the configuration of the TPR domains in the C-terminus. Knockout of MpCLU affects both mitochondria and plastids, and independent rescues show that the splice variant with exon 22 (MpCLU22) serves mitochondrial- and the one lacking exon 22 (MpCLUspl22) plastid biology. The CLU-C domain of the protein is responsible for nuclear localisation and expressed alone induces a phenotype that differs in photosynthesis performance and transcriptome changes from that of the knockout of MpCLU. Our results identify the C-terminal TPR motif to be responsible for organelle specificity in plants and they provide an example of how genome reformatting and gene loss can be compensated for by the alternative splicing of a single exon.

Polyamines (PAs) are ubiquitous metabolites that, despite their simple structure, profoundly influence plant growth, development, and stress adaptation. Their cellular levels are largely determined by arginine decarboxylase (ADC), a key rate-limiting enzyme in their biosynthesis. We previously identified a [~]50 bp GC-rich sequence in the 5' untranslated region (UTR) of plant ADC genes, termed the ADC-box, that is conserved across land plants. Transient reporter assays in tomato, in which ADC upstream regions were decoupled from their native coding sequences and fused to reporter genes, suggested that this element represses translation. However, its function in the native genomic context and its impact on PA homeostasis remain unclear. Here, we combined CRISPR-Cas9 genome editing, metabolite profiling, enzymatic assays, and RNA structure probing to define ADC-box function in tomato and in the seedless land plant Marchantia polymorpha, which retains a conserved [~]20 bp core region. Mutation of the M. polymorpha ADC-box increased ADC activity and altered PA levels, indicating that the ADC-box functions as a conserved translational repressor. In tomato, disruption of the ADC-boxes in SlADC1 and SlADC2 increased ADC activity, demonstrating that the ADC-box acts as a translational repressor in its native context. These ehects were most pronounced under cold stress, when ADC transcript levels increase, suggesting that the ADC-box buhers stress-induced translation. Metabolically, ADC-box disruption led to agmatine accumulation and alterations in upstream intermediates, while downstream PA pools remained largely unchanged. SHAPE analysis revealed that the tomato ADC-box folds into a three-stem RNA structure, with a central stem representing the major inhibitory module. ADC-box mutants displayed altered plant-microbe interactions, with enhanced resistance to Pseudomonas syringae and Tobacco rattle virus, but increased susceptibility to Ralstonia solanacearum and Tomato yellow leaf curl virus. Together, these findings establish the ADC-box as an evolutionarily conserved cis-regulatory element that stabilizes PA homeostasis and modulates plant-microbe interactions.

To discern the nature of the closest streptophyte algal relatives of land plants (embryophytes) is a major question in the field of plant evolutionary biology; discerning that nature is essential for our ability to infer the last common ancestor of embryophytes and algae, allowing to retrace the adaptations that ushered in the conquest of land by plants. Albeit initially coming as a surprise, all major phylogenomic efforts have concluded that the Zygnematophyceae are the algal sisters to land plants1-6. The Zygnematophyceae are the streptophyte algal class with the greatest species richness7 and while we now have ample genome information on a few select members of zygnematophytes8-13, our understanding of the genetic and genomic divergence as well as potential is limited by a lack of phylodiverse data that accounts for this diversity and integrates it into a phylogenomic framework. We here sequenced 43 new transcriptome datasets for the Zygnematophyceae and built a phylogenomic tree based on a total of 104 zygnematophyceaen transcriptomes and 2243 loci. We recover a deep genetic structure for the Zygnematophyceae, revealing that this algal class is ancient. Despite the deep split between Spirogyrales and their unicellular sister group Desmidiales, most Spirogyrales emerged after pronounced genetic divergence, accommodating the attainment of multicellularity and divergent traits such as unique cell and plastid division13. Overall, our data capture signatures of massive ancient radiations. Zygnematophyceae are characterized by deep genetic divergences that necessitated a phylodiverse sampling to be revealed, together with their vast evolutionary history, and to illuminate the nature of the algal progenitors of land plants.

C4 photosynthesis improves light, water and nitrogen-use efficiencies and can raise yield by 50% compared with the ancestral C3 pathway. Engineering C4 traits into C3 crops could substantially boost food production but requires coordinated modifications to leaf anatomy and cell-specific photosynthetic function. For example, C4 leaves contain more numerous, shorter bundle sheath cells that are photosynthetically active. In searching for transcriptional regulators of bundle sheath development in C3 rice, we unexpectedly found OSA3, a plasma membrane H+-ATPase that is expressed in bundle sheath cells as they elongate, and when knocked out reduces their length due to reduced apoplastic acidification. Bundle sheath cell number and chloroplast occupancy are increased. Thus, switching between C3 and C4 bundle sheath identity is controlled by acid growth, and OSA3 represents a simple tool for C4 engineering.

O_LICereal architecture is underpinned by the coordinated development of modular phytomer units. While above-ground phenology is well characterized by metrics such as the phyllochron, an equivalent framework for root system development is lacking. Because each phytomer node initiates both leaves and adventitious roots, root and shoot development are inherently linked. C_LIO_LIHere, we quantified this coordination in wheat, barley, and rye across contrasting temperature regimes and validated the results under field conditions. We introduce the rhizochron, defined as the thermal time (growing degree-days, {degrees}C d) period between the emergence of nodal roots on successive stem nodes, and the root appearance interval, describing the emergence rate of individual root axes. Root development followed a highly conserved thermal sequence synchronized with shoot phenology. C_LIO_LIAcross species and environments, the rhizochron averaged 146.1{degrees}C d, closely matching the phyllochron (126.6{degrees}C d). We also identified a consistent thermal offset, with nodal roots emerging approximately 185.3{degrees}C d after the corresponding leaf on the same phytomer node. The root appearance interval averaged 45.3{degrees}C d, reflecting continuous root deployment across active nodes. C_LIO_LIBy integrating root phenology into a node-based framework, the rhizochron provides a predictive tool for crop modeling, trait-based breeding, and more target phenotyping aimed at improving resource acquisition and climate resilience. C_LI

Mechanical stimuli provoked by wind, soil compaction, rainfall, and biotic interactions strongly influence plant phenotype, growth, and development. Previous studies indicated that weight-treated Arabidopsis thaliana plants increase stem diameter, vascular bundle number, and seed yield, involving auxin, brassinosteroid, and strigolactone-related genes. In this work, we investigated how the mechanically induced increase in phloem area improves source-to-sink partitioning, while the increase in xylem area negatively affects long-term drought tolerance. Transcriptomic profiling confirmed a large-scale reprogramming of drought-responsive genes in treated plants. Moreover, quantification of sucrose and starch content highlighted an enhanced synthesis and carbohydrate transport, which ultimately and positively impacted lipid and protein contents in seeds. Using loss-of-function mutants, we demonstrate that the phloem loader SUC2 and exporters SWEET11, 12, and 16 are essential for the yield gains triggered by mechanical stress. Furthermore, mechanical treatment alters sugar metabolism. Overall, our findings indicate that weight treatment elicits a complex physiological response, in which sucrose transporters and starch metabolism play a crucial role in mediating its positive effects on seed quality and yield. Significance statementMechanical cues are ubiquitous in natural environments, but their impact on plant carbon allocation and yield remains poorly understood. This study reveals that mechanical stress reshapes vascular architecture and carbohydrate transport, enhancing source-to-sink partitioning and seed quality in Arabidopsis. By identifying sucrose transporters and sugar metabolism as key mediators of mechanically induced yield gains, our findings provide mechanistic insight into how physical forces integrate with metabolic regulation influence plant productivity.

Climate change poses a major threat to humanity by driving biodiversity loss and reducing crop yields1,2. To understand the molecular and developmental impacts of rising temperatures, plant science has relied heavily on the model organism Arabidopsis thaliana. Despite decades of research, its development under fully natural conditions remains poorly understood, and only [~]30% of genes have experimental functional annotations, largely because many functions are subtle or manifest only in specific laboratory or ecological contexts3. Here, we address this gap with a landscape transcriptomic approach that integrates intensive phenotyping and transcriptomic profiling of naturally occurring plants in their native habitats4. Across two contrasting field sites and five growing seasons (2021-2025), we phenotyped more than 3,000 A. thaliana plants and generated >1,600 matching transcriptomes. The resulting >30,000 quantitative trait measurements provide a unique opportunity to link climate fluctuations with plant traits and gene expression. Seasons characterized by extreme temperature anomalies directly influenced plant traits, and climatic variables together explained up to 17% of phenotypic variation. In situ transcriptomes carried clear temperature and local environmental signatures, closely matching temperature-response programs known from the laboratory. Leveraging paired per-plant transcriptomes and phenotypes, we applied machine learning to predict regulators of climate-relevant and other plant traits under natural conditions. The models recovered canonical thermomorphogenesis regulators, including PHYTOCHROME INTERACTING FACTOR 4 (PIF4)5,6, providing ecological evidence that temperature signaling pathways defined in controlled environments operate in the wild, and expanded this regulatory landscape by identifying hormonal receptors, signaling components, and previously uncharacterized genes, some of which we functionally validated. Together, this work demonstrates that landscape transcriptomics, by integrating natural field transcriptomes with phenotypes, and thus, capturing environmental and regulatory states, enables the predictive identification of genetic regulators of temperature responses and broader plant traits. This makes landscape transcriptomics a scalable framework for climate-aware functional genomics in plants.

Belowground plant trait research has predominantly focused on trade-offs in fine root traits via the root economics space. Yet, this fine root framework captures only a fraction of the functional strategies plants employ beneath the soil surface. Here, we broaden the perspective on belowground plant functioning by integrating traits related to root system extent, clonality and bud banks, using data from the new UNDERPLOT database. This integration links measurable traits to key belowground functions: resource acquisition, spatial exploration, and persistence. Our analysis shows that the fine root economics space explains less than 5% of the variation in traits related to root system extent, clonality, and bud banks. Instead, an expanded trait analysis reveals three significant dimensions, explaining 62% of total trait variation. The third dimension, represents an independent, persistence-related gradient, not captured by existing root economics frameworks. We propose that understanding belowground plant strategies requires embracing additional functional gradients. The strategy of persistence, in particular, varies significantly across growth forms and is a critical dimension of plant response to resource limitation and stress, becoming increasingly important as global change shifts disturbance regimes.

Arbuscular mycorrhizal (AM) symbiosis is conserved across land plants and is the default nutrient uptake strategy in nature. Within roots, AM colonisation is tightly patterned and dynamically tuned by nutritional cues. Multiple genetic modules contribute to this regulation, including the phosphate starvation response, DWARF14-LIKE (D14L) karrikin signalling, and the common symbiosis signalling pathway (CSSP). Transcriptional overlap among these has led to the hypothesis that phosphate starvation and D14L signalling act upstream of the CSSP. Here, we examined the epistatic relationship between D14L and CSSP in rice. Overexpression of an autoactive gain-of-function CCaMK (gofCCaMKox) restored AM colonisation and symbiosis marker gene expression in d14l mutants to wild-type levels or above, whereas overexpression of wild-type CCaMK did not, confirming that CSSP operates downstream of D14L signalling. However, gofCCaMKox did not rescue the d14l mesocotyl elongation phenotype, supporting a bifurcation of D14L into developmental and symbiotic outputs. Unexpectedly, gofCCaMKox also expanded fungal access to normally restrictive tissue domains (the meristematic zone and endodermis) assigning a role for CCaMK activation in defining root zone and cell-type competence for AM colonisation. Despite restored colonisation, introduction of gofCCaMKox into d14l produced arbuscules, which however were less developed and had increased hyphal septation, revealing a CCaMK-independent role for D14L in intraradical colonisation and arbuscule development. Transcriptome profiling resolved AM-relevant genes into modules controlled by CCaMK activation alone, in combination with D14L, or requiring additional colonisation-associated cues, and further suggested CCaMK primarily acts through AP2 transcription factors. Together, these findings reinforce CCaMK as a master regulator of AM symbiosis at the genetic, transcriptomic and anatomical levels while uncovering CCaMK-independent functions of D14L in arbuscule development.

Plants comprise both cell types shared across organs and those restricted to specific tissues. How the transcriptional programs defining cell identity are maintained or remodeled across organ contexts remains poorly understood, particularly in long-lived perennials, for which cell type-resolved transcriptomic data remain scarce. We generated a multi-organ single-nucleus transcriptomic atlas of the dwarf grapevine cultivar Pixie, comprising over 220,000 nuclei from nine organs, including roots, green stems, pre-anthesis flowers, dormant buds, young and old leaves, and berries at three developmental stages, each sampled in duplicates. We annotated 46 distinct cell types, reconstructed developmental trajectories within selected cell types, and inferred gene regulatory networks at cell type resolution. Broadly distributed cell types, including epidermis, xylem parenchyma, and phloem parenchyma, exhibited pronounced organ-dependent transcriptional divergence, with organ identity accounting for 65% of regulon activity variance across the atlas. In contrast, companion cells maintained organ-independent regulatory programs, representing the stable end of a continuum of transcriptional plasticity that spans shared cell types. We identified cell-type-specific transcription factor expression and inferred gene regulatory networks using motif-based regulon analysis, revealing candidate regulators of cell identity and tissue specialization. Together, this atlas provides a reference framework for cell type-resolved functional genomics in a perennial woody crop.

The chloroplast division machinery, known as the division ring, is a supramolecular complex composed of bacterial- and host-derived proteins1-5. However, how the division ring generates the force required to sever a chloroplast remains poorly understood. Here, we established an in vitro assay in which chloroplasts isolated from Cyanidioschyzon merolae6,7 undergo GTP hydrolysis-dependent division. Using this assay, we show that Dnm2, rather than FtsZ, acts as the motor driving GTPase-powered contraction of the division ring, thereby physically dividing the chloroplast. We further demonstrate that the division ring is assembled through coiling of a glycosyltransferase-mediated filament and is crosslinked by dimerization of the Dnm2 GTPase domain. Following GTP hydrolysis-dependent force generation, Dnm2 retains its dimeric form in GDP-bound and nucleotide-free states, providing a locking step that suppresses back-slippage of the coiling ring during division. Thus, this mechanical design enables progressive, ratchet-like constriction of the division ring through coiling, overcoming the mechanical load posed by the chloroplast and generating the force required for fission, consistent with quantitative simulations. These findings suggest that a specialized division-ring mechanism, distinct from vesicle fission systems, evolved to mediate endosymbiont fission, allowing host control of endosymbiont proliferation and promoting faithful inheritance of the emerging organelle.

The evolutionary expansion of specialized metabolism has shaped the ability of plants to adapt to combined pathogen, pest, and other environmental pressures. For instance, the duplication and divergence of ancestral gibberellin pathway genes have given rise to specialized kauralexin and dolabralexin diterpenoids in maize (Zea mays) that serve as core components of disease resistance and stress adaptation. Here, we describe the biosynthesis and elicited production of rosalexins as a previously unrecognized component of the maize chemical defense network. By integrating genomics-enabled gene discovery, combinatorial enzyme assays, and AI-assisted enzyme mechanistic studies we show that maize rosalexin biosynthesis proceeds via a distinct 5-rosanol scaffold formed by the pairwise activity of two diterpene synthases, ZmTPS38/CPS2/AN2 and ZmTPS42/KSL1, recruited from gibberellin metabolism. Further oxygenation by the promiscuous P450 enzyme, ZmCYP71Z18, yields epoxyrosanol that, in turn, can undergo epoxide ring opening to form trihydroxyrosanol. Epoxyrosanol, but not 5-rosanol or trihydroxyrosanol, display strong inhibitory activity on fungal pathogen growth in vitro, highlighting the contribution of the epoxide group to antibiotic efficacy. Large variation in rosalexin presence and abundance exists across maize genotypes due to expansive ZmTPS42/KSL1 gene sequence variation and pseudogenization. Transcriptomics and targeted metabolomics demonstrated the pathogen-elicited accumulation of rosalexins in maize lines featuring functional ZmTPS42/KSL1 genes. However, no dominant pathogen resistance phenotype was observed in association with rosalexin abundance. These collective findings expand our knowledge of how multiple interconnected diterpenoid pathways arose in maize via duplication of hormone-metabolic genes and enable the utilization of a common precursor to form modular chemical defense layers. Significance StatementPlant diterpenoids play critical roles in crop development, stress defense and ecological adaptation. In maize, diterpenoids serve as key components of chemical defenses against pests and diseases with direct impact on crop immunity and vigor. Enzymes of the diterpene synthase and cytochrome P450 families largely drive diterpenoid chemical diversity. This study reports the discovery and characterization of the pathway forming rosalexin diterpenoids in maize. Pathogen-elicited accumulation and in vitro antifungal activity of rosalexin metabolites supports a physiological function in maize chemical defense.

How conserved stress responses are across the plant kingdom remains poorly understood. Here, we present a kingdom-wide stress transcriptome atlas of 36 Viridiplantae species, from chlorophytes to angiosperms, across nine abiotic and biotic stresses. The atlas integrates reanalyzed public RNA-seq data with new in-house stress experiments on three species representing basal lineages, yielding 13.6 million differential expression calls from over 3,200 manually curated control-treatment comparisons. We find that ancient gene families respond broadly but moderately, while lineage-specific families respond narrowly but intensely, revealing a division of labor in stress gene deployment. Stress response conservation decays with phylogenetic distance yet remains detectable across more than 700 million years of divergence, with upregulated genes diverging faster than downregulated genes. Functional co-occurrence analysis uncovers a deeply conserved growth-defence tradeoff alongside stress-specific transcriptional rewiring. Conserved stress co-expression modules undergo regulatory subfunctionalization through duplication, with whole-genome duplicate pairs preferentially retained within modules. Finally, DNA and RNA foundation models predict stress responsiveness from sequence alone (auROC 0.755), suggesting a partially conserved cis-regulatory code underlying stress responses across the kingdom.

Plants acquire essential mineral nutrients from the soil, yet these elements must first traverse the extracellular matrix of the root before reaching the cell surface. How the physical properties of this extracellular compartment influence nutrient distribution and availability remains poorly understood. In plants, this extracellular matrix is formed by the cell wall, which carries a dynamically regulated negative charge that can change during development and in response to environmental cues. Here we demonstrate that cell wall charge functions as a tunable electrostatic gate that determines how iron is partitioned between retention and bioavailability. This decoupling between iron abundance and availability reveals a fundamental tradeoff imposed by extracellular electrostatics. A mechanistic diffusion-binding model shows that increasing wall charge inherently enhances iron sequestration while limiting its mobility at the cell surface. Genetic perturbation of pectin de-methylesterification validates this principle in vivo. Moreover, iron limitation itself triggers active remodeling of cell wall charge, dynamically shifting the balance toward increased iron accessibility. Together, these findings identify the plant cell wall as an active regulator of nutrient homeostasis rather than a passive barrier. By dynamically modulating extracellular electrostatics, roots control iron partitioning and bioavailability, uncovering a new physical layer of regulation in plant mineral nutrition. One-Sentence SummaryThe plant cell wall operates as a tunable electrostatic gate that buffers and releases iron through spatially and environmentally regulated charge dynamics.

Functional genetic redundancy (FGR) within gene families limits the discovery of gene function in plants because single-gene perturbations often fail to produce informative phenotypes. Artificial microRNAs (amiRNAs) provide a strategy to silence multiple related genes simultaneously. However, the existing amiRNA-based libraries used for genetic gene function discovery in plants do not account for the subcellular localization of gene products, which can lead to pleiotropic or difficult-to-interpret phenotypes. Plastids are essential plant cell organelles that integrate central metabolic and signaling processes, including photosynthesis, hormone biosynthesis, and environmental responses. Here we introduce pamiR, a plastid-targeted amiRNA library designed to enable organelle-specific gene function discovery in Arabidopsis thaliana. Using plastid proteomic datasets, we identified high-confidence plastid-localized proteins and designed amiRNAs to target their gene(s) (families) minimizing FGR. This amiRNA library was introduced in a vector with fluorescence-accumulating seed technology enabling rapid, herbicide-free selection and screening in the first generation. Validation by next-generation sequencing, confirmed high representation and uniform distribution of amiRNAs within pamiR. Proof-of-concept screens recovered mutants affecting known and additional candidate genes involved in photosynthesis and abscisic acid biosynthesis. Therefore, the pamiR library provides a fast platform for plastid-focused genetic screens that is compatible with existing mutant collections. One-sentence summaryThe plastid amiRNA (pamiR) library enables organelle-specific forward genetics without functional genetic redundancy.

Gibberellins (GAs) influence cell division and elongation, profoundly shaping plant architecture and yield. GA perception occurs when bioactive GAs bind the receptor GID1, promoting DELLA degradation and activating transcriptional programs. While GA signaling in the root endodermis is essential for promoting root elongation, functions of other layers in spatial control of GA responses have not been explored. Here, we developed a synthetic GA (sGA) that does not bind endogenous GID1, together with a modified GID1 (mGID1) engineered to selectively recognize sGA, enabling cell-specific activation of GA signaling in vivo. Using this system in Arabidopsis, we demonstrate that coordinated action of GA signaling in the endodermis, epidermis, and other layers is required for full root elongation. Moreover, cell type-specific expression of GA biosynthetic enzymes indicates the existence of intercellular GA transport. The sGA-mGID1 system provides a versatile platform for spatially precise reprogramming of hormone signaling, enabling synthetic control of developmental processes such as root-shoot growth balance, thereby advancing applications in plant synthetic biology and sustainable crop improvement.

Pests and pathogens reduce yields of major food crops by 15% globally1. Interventions such as pesticides can mitigate yield loss, but pests can evolve resistance to pesticides over short timescales2,3. Pest damage to crops may also be determined by (co)evolutionary selection on pests by crops themselves and vice versa4, yet it is unclear whether the relative evolutionary potential of pests versus crops predicts the outcome of this arms race. Here we test whether readily available indicators of the evolutionary potential5-9 of crops and their pests or pathogens influence global yield loss10 and its response to agricultural management11-13. We find that evolutionary potential of the pest (measured as its genome size) and crop (measured as population density or proximity of wild relatives) moderated the effect of agricultural management (seed importation, fertiliser and pesticide use) on crop damage. Crucially, statistical interactions among crop and pest evolutionary potentials explained as much variation in yield loss as did agricultural management. Our results show a huge spatial variability in management effectiveness and suggest greatest benefit in places with a stronger imbalance in the evolutionary potential between crop and pest. More broadly, our findings reveal a key role of evolution in determining present-day pest damage.