Plant Communications

RNA-seq datasets from medicinal yews are crucial for studying paclitaxel biosynthesis. However, cross-study data analyses are hindered by pronounced batch effects. Here, we compiled 45 RNA-seq samples from three studies across four tissues (bark, leaf, root, stem) and assessed 35 preprocessing pipelines combining six normalization strategies with five batch-effect correction approaches. Unsupervised clustering (HCA, k-means, Grade-of-Membership), evaluated using Jaccard and Adjusted Rand indices, revealed significant variability in batch effect removal. Supervised classification of tissue and project labels (Random Forest and linear/radial SVM) demonstrated improved accuracy in tissue type prediction, highlighting the effectiveness of correction methods. The processed data facilitated the identification of 189 putative ABC transporters across samples, six of which showing a strong correlation to the gene encoding 10-deacetylbaccatin-III-10{beta}-O-acetyltransferase, a key biosynthetic enzyme in the taxol pathway. High expression levels in leaf and bark further support their role in taxane intermediates trafficking in taxol biosynthesis. Structural analysis and molecular docking further supported the selection of these candidates, and the agreement between transcriptomic ranking and docking-based prioritization suggests that these transporters may participate in taxane intermediate recognition, trafficking, or export. These findings demonstrate the importance of normalization and batch effect correction in RNA-seq analysis to advance gene discovery in Taxus species and, more broadly, in plant research. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=152 SRC="FIGDIR/small/723993v1_ufig1.gif" ALT="Figure 1"> View larger version (54K): org.highwire.dtl.DTLVardef@1469162org.highwire.dtl.DTLVardef@1f2c4deorg.highwire.dtl.DTLVardef@15ad821org.highwire.dtl.DTLVardef@123676d_HPS_FORMAT_FIGEXP M_FIG C_FIG

Iron (Fe) is an essential micronutrient for plant growth, and the hormone auxin is a key regulator of developmental processes, including root gravitropism. Here, we investigated the molecular mechanisms underlying the crosstalk between iron nutrition and auxin-mediated root growth in Arabidopsis thaliana. Phenotypic analysis revealed that iron deficiency strongly shaped root system architecture and root gravitropism, and these phenotypes were exacerbated in the iron uptake mutant irt1-1. Genetic analysis revealed that iron deficiency did not aggravate the gravitropic defect of the pin2 mutant, eir1-4, suggesting that iron availability modulates root gravitropism through a PIN2-dependent pathway. Further transcriptomic analysis confirmed that iron deficiency significantly altered the expression of numerous genes related to the auxin pathway, providing molecular evidence for the observed physiological connection. Collectively, this study revealed that iron availability regulates root gravitropic growth by modulating PIN-mediated auxin transport and distribution, providing insights into how plants integrate nutritional cues with developmental programs. Graphical abstract A brief descriptionIron modulates auxin transport and root tip distribution by regulating PIN2 protein, thereby mediating root gravitropism in Arabidopsis. Public summaryO_LIIron nutrition specifically regulates root gravitropism and architecture in Arabidopsis. C_LIO_LIIron deficiency disrupts local auxin homeostasis in root tips and impairs asymmetric distribution in response to gravity. C_LIO_LIIron deficiency stress significantly reduces the abundance of PIN2 protein in root tip cells and disrupts its polar localization pattern on the plasma membrane, thereby precisely modulating polar auxin transport by interfering with the vesicle trafficking and recycling efficiency of PIN2. C_LIO_LIRNA-seq results showed that iron deficiency induced differential expression of multiple auxin-related genes, indicating that iron nutrition affects root development through the auxin pathway. C_LI

Grain legumes such as pea (Pisum sativum L.) accumulate large amounts of seed storage proteins without nitrogen fertilization due to their symbiosis with nitrogen-fixing bacteria, making them a key source of plant-based proteins. Seed growth and the accumulation of seed storage proteins are tightly regulated by complex gene networks; however, the mechanisms governing these processes in pea remain poorly understood. In this study, we generated a comprehensive seed expression atlas covering six developmental stages in pea (cv Cameor), including the key transition stage from embryogenesis to early seed filling, providing a detailed temporal resolution of transcriptional dynamics throughout seed development in this species. Co-expression network analysis highlighted several candidate transcription factors potentially involved in the transition towards seed filling. Among them, we characterized the seed-specific NF-YB transcription factor PsLEC1-like (PsL1L), the major LEC1-type factor expressed during early pea seed development. Functional analyses using TILLING mutants demonstrated that loss of PsL1L function reduces seed size and seed nitrogen content and impairs early embryo growth from the end of embryogenesis. Finally, we show that the expression of the B3-domain transcription factor PsFUS3, but not that of PsLEC2 or PsABI3, is reduced in the loss-of-function l1l mutant, suggesting that PsL1L acts upstream of PsFUS3 to control seed size.

Potato crop is highly vulnerable to abiotic stresses like salinity and low nutrient availability. Rapid identification of stress-resilient genotypes is therefore essential for breeding, yet conventional phenotyping is often slow, space-demanding and expensive. We present LOCOPOTS -- a LOw-COst high-throughput screening platform for in vitro POTatoes under abiotic Stress -- which combines individual in vitro plant culture, low-cost RGB imaging and machine-learning-based automatic segmentation using a trained model of a convolutional neural network, based on U-Net architecture. LOCOPOTS enabled the automated extraction of growth, colour, and vegetation-index traits and demonstrated robust performance across independent phenotyping rounds. We screened 30 potato varieties under control, low-nutrient and saltinity conditions, identifying contrasting growth and physiological responses. Integrated traits such as final area and height, Area_AUC and height_AUC, together with GLI, Chol, cive and chlorophyll fluorescence parameters, discriminated genotype performance under stress. Metabolic profiling further revealed genotype-specific reprogramming in carbon and nitrogen metabolism under low nutrition and salt stress, including changes in fructose, myo-inositol, {beta}-aminobutyric acid, {gamma}-aminobutyric acid, proline, and certain polyamines, identifying them as specific chemical biomarkers of plant stress responses. LOCOPOTS provides a scalable, affordable and space-efficient platform for early screening of potato genetic diversity and identification of candidate traits associated with stress resilience.

Achieving high-throughput and precise phenotypic quantification and imaging modalities of stomatal and epidermal cells across diverse species remains a primary bottleneck in elucidating the mechanisms of stomatal dynamics, epidermal patterning, and environmental adaptation of plants. Here, we developed EpiReasoner, an artificial intelligence framework comprising a vision module, EpiVision, and a knowledge-based reasoning module, EpiBrain, for the quantitative phenotypic analysis and domain-specific knowledge reasoning of stomatal complexes and pavement cells in plants. Operating across bright-field, scanning electron microscopy, and differential interference contrast modalities, EpiVision achieves precise instance segmentation in various monocotyledonous, dicotyledonous, and fern species. Its performance significantly surpasses current state-of-the-art models. Moreover, we defined 23 quantitative indices describing stomatal cell morphology and spatial distribution. For domain-specific tasks such as phenotype prediction, genotype deduction, and molecular mechanism reasoning, EpiBrain demonstrates a human preference rate significantly higher than that of general-purpose large language models, including GPT-5 and Claude Sonnet 4. The application of EpiReasoner to phenotypic data of stomatal density derived from a tomato natural population of 170 accessions successfully identified a major quantitative trait locus on chromosome 8. The candidate gene, SKP1-interaction partner 19L (SKIP19L), encoding an F-box family protein, exhibited severe allele frequency drift during tomato domestication, which is highly consistent with the adaptive trend of reduced stomatal density under artificial selection. EpiReasoner provides a novel paradigm that unifies visual phenomics and knowledge-driven reasoning for the biology of stomata and pavement cells, thereby significantly accelerating scientific discovery in plant science.

The evolutionary transition of the green plant lineage (Viridiplantae) from aquatic environments to terrestrial habitats required unprecedented adaptations of cellular metabolism to severe environmental stressors, including desiccation, high irradiance, and rapid temperature fluctuations. Redox regulation, mediated by oxidation and reduction of reactive cysteine residues (RCys), plays a crucial role in translating environmental fluctuations into rapid cellular responses. Although comparative genomics has revealed expansions in multiple cellular systems preceding terrestrialization, the evolutionary history of redox-regulated protein networks remains elusive. This work integrated large-scale phylogenomic reconstructions across 37 Viridiplantae species with five independent Arabidopsis thaliana redox proteomics datasets to trace the evolutionary trajectory of RCys. The analysis showed that the ancestral core, consisting of plastid-localized regulatory cysteines, was already established at the base of the green lineage. Furthermore, an expansion driven by gains of RCys via amino acid replacements within pre-existing proteins occurred in the common ancestor of Zygnematophyceae and land plants. These findings suggest that a targeted incorporation of thiol-based regulatory switches provided early land plant ancestors with enhanced protein functional plasticity necessary to cope with the challenges of terrestrial environments. HighlightsO_LIThe foundational plastid-localized redox core was established at the root of Viridiplantae. C_LIO_LINovel regulatory switches were integrated into conserved machinery via amino acid replacement. C_LIO_LIA punctuated burst of redox innovation at Zygnematophyceae and Embryophyta last common ancestor preceded plant terrestrialization. C_LIO_LIRedox acquisition rates declined sharply following the successful colonization of land. C_LI

Polyploid genome assembly presents unique challenges due to extensive heterozygosity and complex haplotype structure. We report a haplotype-resolved, chromosome-scale assembly of Regen-SY27x, a genotype of autotetraploid alfalfa (Medicago sativa), which is widely used for genetic modification because of its excellent regenerative capacity in tissue culture. Using PacBio HiFi long reads, Omni-C scaffolding, and linkage map guided phasing, we generated a 3.2 GB assembly comprising four haplotypes with high contiguity and completeness. Kmer-based validation confirmed accurate haplotype separation, while linkage map integration and dotplot analysis identified and corrected chimeric scaffolds. Gene annotation yielded 221,688 protein-coding genes, with more than 99% assigned to pseudochromosomes. Repetitive elements accounted for 62.7% of the genome, dominated by long terminal repeat retrotransposons and a high fraction of Helitrons. The spatial enrichment of Helitrons within gene-dense distal chromosome arms underscores their pivotal role as key drivers of genomic innovation and gene family expansion. We identified 3,696 nucleotide-binding leucine-rich repeat R genes, with Toll/interleukin-1 receptor-like and Rx-type subclasses forming large tandem clusters across haplotypes. Comparative analyses revealed strong macrosyntenic conservation among Regen-SY27x and the publicly available Chinese alfalfa genomes but extensive structural variation both within Regen-SY27x haplotypes and between Regen-SY27x and the Chinese genotypes with tens of thousands of duplications, inversions, and translocations detected. These results demonstrate that a single autotetraploid individual captures extensive structural diversity, but individuals from different populations vary greatly. The Regen-SY27x assembly provides a foundational genomic resource for investigating polyploid genome evolution and identifying genetic variation relevant to biological and agronomic improvement in alfalfa. Article SummaryThis study presents the first chromosome-scale, haplotype-resolved genome assembly of the US alfalfa germplasm, Regen-SY27x, a key alfalfa genotype used widely for genetic engineering. We integrated HiFi long reads, Omni-CTM scaffolding, and linkage map-guided phasing to reconstruct all four haplotypes of this complex autotetraploid. Our results identified 221,688 protein-coding genes and reveal immense intra-individual structural variations dominated by small duplications. This high-quality reference serves as a foundational tool for the alfalfa community, enabling researchers to link complex structural diversity with agronomic traits and further enhance the biotechnological potential of this essential forage crop.

Prenylated isoflavonoids are widely distributed specialized metabolites within the Fabaceae and contribute to various characteristic biological activities for both plants and humans. Several aromatic prenyltransferases (PTs) have been identified in Glycyrrhiza species, which are the most widely consumed crude drugs in traditional Chinese medicine. However, these enzymes do not sufficiently explain the structural diversity of prenylated flavonoids produced in the Glycyrrhiza genus. To identify additional novel PTs, we used elicited cultured Glycyrrhiza glabra roots as source material, in which elicitor treatment of cultured roots increased the accumulation of multiple prenylated flavonoids. To identify the responsible enzyme, PT candidates were screened using G. uralensis transcriptomes, currently the sole publicly available transcriptomic resource within the genus, and a homolog designated GgBSPT1 (BSPT; a broad-substrate prenyltransferase) was subsequently isolated from elicited cultured G. glabra roots. GgBSPT1 differed from previously identified Glycyrrhiza PTs in both amino acid sequence and enzymatic properties. GgBSPT1 catalyzed 3'-prenylation of isoliquiritigenin and 6-prenylation of five flavonoids, i.e., this PT displayed broad substrate acceptance across 20 distinct flavonoid structures. Overall, elicited cultured G. glabra roots enabled the identification of a previously unrecognized PT that is functionally distinct from earlier reported Glycyrrhiza PTs. This study provides a new insight into the metabolic plasticity of Glycyrrhiza species and expands the enzymatic toolkit for future metabolic engineering of prenylated phytochemicals by the unusually broad substrate specificity of GgBSPT1. Main conclusionUsing cultured Glycyrrhiza glabra roots, we identified a new prenyltransferase involved in the formation of a variety of flavonoids, thereby revealing novel prenylated isoflavonoid pathways in licorice.

Isoflavone hydroxylases (IFHs, CYP81E) convert isoflavone aglycones into their respective hydroxylated intermediates, which direct legume isoflavones into specialized defense pathways. In soybean, their functions have been studied mostly in the context of the daidzein-derived glyceollin biosynthesis. Here we combine metabolomics-guided feature mining, phylogenetic analysis, heterologous enzymology, structural elucidation, and in planta metabolite validation to determine the functional landscape of the soybean IFH family. Analysis of a soybean isoflavonoid-enriched metabolomic dataset revealed unidentified hydroxyisoflavone features that co-accumulated with glyceollins, indicating branch chemistry that is not well-recognized. The systematic characterization of the repertoire of soybean CYP81E has demonstrated that 9 out of 11 GmIFHs are catalytically active and collectively span both 2'- and 3'- hydroxylation of the major soybean isoflavone aglycones. Among them, GmIFH9A showed broad substrate scope and regioselectivity, yielding canonical and previously unknown hydroxylated isoflavone products. NMR and LC-MS/MS were used to identify and validate the hydroxylated isoflavone products as 2'-hydroxyglycitein and 2'-hydroxyformononetin, whose presence was also confirmed in soybean roots, thus confirming two of the hidden soybean isoflavonoid network metabolites. Kinetic studies also indicated that, although the majority of GmIFHs prefer daidzein and genistein as substrates, a few isoforms are active towards methoxylated isoflavones as well, indicating functional divergence in this expanded family. Our findings collectively redefine soybean IFHs as a multi-functional enzyme module that expands the hydroxyisoflavone chemical space and reveals new biosynthetic entry points beyond canonical glyceollin pathway.

Tomato wild relatives are valuable genetic resources for trait discovery and understanding the genetic basis of fruit metabolism and quality. Yet, only a fraction of naturally occurring variation has been exploited. Here, we performed metabolite profiling of two large Backcross Inbred Line populations derived from crosses between the wild species S. pennellii accession LA5240 (Lost) and cultivated genotypes LEA (determinate) and TOP (indeterminate), including [~]1400 and [~]500 lines, respectively. High-resolution mapping identified enormous metabolic quantitative trait loci (mQTL), including a new locus on chromosome 12 associated with fruit sucrose accumulation that harbours INVERTASE INHIBITOR 3 (SlINVINH3) protein. Comparative analysis indicated that SlINVINH3 is highly expressed in wild S. pennellii 0716 fruit, whereas a six-amino acid deletion is present in its coding sequence compared with S.pennellii LA5240 and S. lycopersicum. We further demonstrated that in SlINVINH3-overexpressing tomato plants, only the S. pennellii LA5240 allele led to increased sucrose, accompanied by reduced fructose and glucose levels. Furthermore, the large population size enabled us to assess the epistatic interactions, with approximately 40% of interactions being more-than-additive and 60% less-than-additive. Our results demonstrate the power of permanent exotic populations to reveal hidden metabolic diversity and provide an approach for improving fruit quality through targeted breeding and metabolic engineering.

Cytochrome P450 enzymes (CYPs) are the primary drivers of chemical diversification in plant secondary metabolism; however, fewer than 10% of the superfamily members have been functionally characterized. Computational docking provides a scalable strategy to prioritize candidates for experimental validation, yet prevailing workflows are poorly adapted to plant P450s because AlphaFold-predicted structures lack the essential heme cofactor and conventional flexible-residue selection relies on subjective geometric cutoffs. To address these limitations, we developed an automated pipeline--PlantP450Dock--that unifies heme cofactor implantation, molecular dynamics-based conformational sampling, data-driven flexible residue selection, and semi-flexible docking within a single integrated workflow. The heme is transferred from a crystallographic template to the AlphaFold model via a local coordinate transformation algorithm, achieving a positional deviation of less than 0.2 [A] relative to the experimentally determined CYP73A33 structure (PDB: 6VBY). Subsequent 100 ns molecular dynamics simulations confirmed faithful preservation of the Fe-S coordination geometry (2.61 {+/-} 0.08 [A]) across all trajectory frames. A singular value decomposition-based heme-plane filtering strategy objectively identified distal active-site residues for flexible treatment, eliminating user-dependent subjectivity. Cross-family validation against four phylogenetically distinct P450s (CYP73, CYP711, CYP706, and CYP701) generated catalytically competent binding poses with substrate-to-heme-iron distances of 2.8-4.4 [A] without enzyme-specific parameterization. Released as an open-source tool, this pipeline furnishes the plant science community with a standardized, reproducible computational framework to accelerate functional annotation of the largely unexplored plant P450 families.

In nature, plants are subjected to multiple environmental stress factors simultaneously or sequentially. Recent studies revealed that when three or more stress factors impact a plant simultaneously (termed multifactorial stress combination; MFSC), plant survival declines, even if the intensity of each individual stress involved in the MFSC is low. We previously identified RAP2.3 as a key transcription factor (TF) required for Arabidopsis thaliana survival, specifically under a MFSC of salt+excess light+heat stress (i.e., S+EL+HS). Here we report that RAP2.3 is required for the expression of SIGMA3, a nuclear-encoded factor that directs plastid RNA polymerase to specific plastid promoters, and MYB51, a key stress response TF involved in glucosinolate metabolism and oxidative stress responses, specifically during a MFSC of S+EL+HS. Like rap2.3 mutants, myb51 and sig3 mutants display significantly low survival rate specifically under the MFSC of S+EL+HS. Based on MYB51 gene regulatory network analysis and characterization of jasmonic acid (JA) mutants, we further reveal that suppression of JA signaling could play an important role in promoting plant survival under conditions of S+EL+HS. Our findings uncover an additional layer of the response of plants to MFSC, as well as identify potential targets for breeding crops with enhanced tolerance to climate change.

The red/far-red sensing photoreceptor phytochrome B (phyB) governs multifaceted plant development and responses to light and temperature stimuli. PhyB photoconversion between red-absorbing, inactive Pr and far red-absorbing, active Pfr states, imparted by its covalently bound bilin chromophore, enables rapid switching and plasticity of phyB signaling activities. The phyBY276H variant (YHB) is photochemically inert but adopts a constitutively active Pfr-like structure regardless of light conditions, which becomes a versatile model to dissect phyB signaling mechanisms. Here, we conducted a large-scale EMS mutagenesis screen on YHB-expressing transgenic lines, mining intragenic suppressor mutations that would unveil critical residues for phyB structure-function relationships. Comparative analyses of 26 nonsense variants suggested modular organization of phyB overall structure and dispensability of the C-terminal HKRD domain for phyB signaling. Amongst fourteen novel and nine known loss-of-function missense variants identified herein, G284E was of particular interest for its fully suppressed constitutive activity in darkness and its restored photochemistry and light responsiveness. The G284E mutation was further tested to also nullify another constitutively active phyBY303V allele by eliminating chromophore attachment. P309L was the sole variant identified which fully suppressed YHB in both dark and light conditions. C402Y profoundly elicited YHB protein instability. Three variants G118R, C402Y and G538D markedly reduced chromophorylation levels of YHB. Although the chromophore binding site variant C357Y was a strong loss-of-function allele, it retained residual signaling activity with respect to PIF3 protein turnover in dark-grown seedlings, presumably due to its ability to noncovalently bind chromophore. Two tandem prolines (P799, P800) proved critical to YHB structural integrity/stability as well as signaling activity. In summary, these diverse variants shed new insights into multiple levels by which the YHB (and thereby phyB) signaling is initiated, tuned, and disseminated.

Salinity is a major crop production constraint in dry pea (Pisum sativum L.), making the development of salt-tolerant varieties essential to improve crop productivity and land-use efficiency. The genetic mechanisms of salt tolerance in dry pea is largely unknown, and research on salt-tolerant genes is limited. In this study, we established comprehensive genomic and transcriptomic resources, along with a robust screening protocol, to dissect the genetic basis of salinity tolerance using two germplasm sets: the USDA pea diversity panel, consisting of approximately 200 globally sourced accessions, and a set of 300 modern elite lines from the NDSU Pulse Crops Breeding Program. Genetic variation for the salinity response was assessed based on ten phenotypic traits, with root dry weight, shoot dry weight, and specific root length identified as key indicators based on their heritability. Genome-wide association mapping uncovered significant genomic regions and several candidate genes linked to salt stress, with the strongest association found on chromosome 6. Overlapping QTL signals across traits suggest a shared genetic architecture underlying salinity tolerance. Field-based transcriptomic analysis further identified five putative genes involved in salinity response conserved across multiple crop species. Notably, Psat5g000800, encoding a glycosyl hydrolase gene, was markedly upregulated under salinity stress. These findings highlight the complex, multi-gene regulatory nature of salinity tolerance in dry pea and underscore the importance of functional validation of candidate genes. This study provides key insights and practical tools to support breeding efforts aimed at improving salt tolerance in dry pea.

Salicylic acid (SA), a central hormone in plant immunity, is biosynthesized via a recently elucidated phenylalanine-derived pathway in most seed plants. This pathway requires benzyl alcohol as a key substrate for the formation of the SA precursor benzyl benzoate. However, how benzyl alcohol is produced in plants was unclear. Here, we identify a two-step conversion of benzoyl-CoA to benzyl alcohol via benzaldehyde in Nicotiana (N.) benthamiana. From a forward genetic screen for SA-deficient mutants, the and {beta} subunits of heterodimeric benzaldehyde synthase (BalS) involved in the conversion of benzoyl-CoA to benzaldehyde were found to be required for SA biosynthesis in N. benthamiana. Further reverse genetic analysis revealed that the NADPH-dependent benzaldehyde reductase (BalR1) acts downstream of BalS to convert benzaldehyde to benzyl alcohol. Interestingly, OsBalR1, but not OsBalS or OsBalS{beta}, is required for maintaining high basal SA levels in rice, suggesting the presence of redundant benzoyl-CoA-reducing activities or alternative biosynthesis routes for benzyl alcohol production. Together, this work defines the missing enzymatic steps in phenylalanine-derived SA pathway and provides insights into the evolutionary diversification of SA production strategies in plants.

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.

{gamma}-Glutamyl cyclotransferases (GGCTs) belongs to class of cytosolic enzymes that are responsible for glutathione (GSH) degradation under stress conditions. They regulate GSH homeostasis through the {gamma}-glutamyl cycle which is responsible for maintaining the synthesis of GSH as well as its breakdown, enabling recycling of its constituent amino acids. Although GGCTs have been implicated in enhancing heavy metal (HMs) tolerance in plants, their role in biotic stress remains largely unexplored. Previously, OsGGCT1 was identified as a gene strongly upregulated in Fusarium stress. In this study, the GGCT1 homolog from Oryza sativa japonica was characterized for its role in conferring tolerance to Fusarium oxysporum (F.O.). Similar to abiotic factors, biotic stresses significantly impact crop yield and productivity. The rhizosphere harbors diverse microbial communities, including harmful pathogens such as F. oxysporum. Fusarium causes wilt disease in a variety of plant species, such as: tomato, legumes, rice, and Arabidopsis thaliana. Our results demonstrate that overexpression of OsGGCT1 enhanced tolerance to F. oxysporum in A. thaliana, primarily by reducing fungal spore accumulation. Transgenic plants showed elevated expression of OsGGCT1 along with AtGSH1 and AtGSH2, reduced levels of reactive oxygen species (ROS), improved growth and photosynthetic performance and enhanced activities of the antioxidant enzymes. OsGGCT1 serves as a key component in maintaining GSH homeostasis by supporting glutamate (Glu) regeneration necessary for sustained GSH biosynthesis. Overall, these findings identify OsGGCT1 as an important constituent of the GSH-mediated detoxification pathway against Fusarium oxysporum and provide valuable molecular insights for developing Fusarium-tolerant rice varieties with reduced fungal accumulation.

Licorice (Glycyrrhiza) is a medicinal plant widely used in approximately 70% of traditional Japanese Kampo formulations and is known to produce a wide array of specialized metabolites with diverse pharmacological properties. Although hundreds of metabolites have been reported, the overall chemical diversity of Glycyrrhiza remains poorly characterized. Here, using mass spectrometry data obtained from fully 13C-labeled leaves and roots of Glycyrrhiza uralensis and Glycyrrhiza glabra, we determined the carbon number, followed by molecular formula and substructure prediction in combination with MS/MS similarity-based molecular networking. After excluding redundant ions, including isotopic peaks, adducts, and in-source fragments, we extracted 3,060 unique metabolite features with assigned carbon numbers. Among these, substructure information was assigned to 1,015 features (33%) across the four plant tissues, revealing the tissue-specific metabolome profiles. Furthermore, we discovered five previously unreported alkaloids, homopipecolic acid-conjugated flavonoids, in the roots of G. uralensis and G. glabra, and Glycine max, another member of the Fabaceae family. Two of these structures were validated using nuclear magnetic resonance spectroscopy. We further proposed a biosynthetic route involving a spontaneous reaction between 1-piperideine and malonyl glycoside substrates and confirmed the formation of the conjugated product using authentic standards.

Plant architecture is a crucial component of maize productivity. Tailoring architectural component traits like leaf area and angle can increase productivity by promoting deeper light penetration into the canopy and better resource utilization. Novel genetic variants can increase the rate of gain for optimized plant architecture. Here, we map a moderate-effect mutation denoted reduced leaf area1 (rdla1) to the RAGGED5 (RGD5) locus and characterize it as a transposon insertion allele. Mutant leaf area reductions were most extreme in mid-upper canopy positions. Photosynthetic gas exchange rates were not significantly impacted in rdla1 relative to wild-type, indicating that mutant leaf structure, but not function, is altered. Functional annotations of RDLA1 were supported by metabolite profiles suggesting a role in cuticular wax biosynthesis. Introgression of the rdla1 allele into 27 commercially relevant genetic backgrounds identified differences in effect size across genotypes, revealing modifier effects that could serve as targets for modulating plant architecture.

Transcriptional regulation is one of the fundamental approaches for young plants to cope with environmental fluctuations and maintain active development. The transposable element (TE) subclass long terminal-repeat retrotransposons (LTR-RTs) can act as additional regulators for genes through enhancer and promoter activity, but their promoters, transcription initiation, and contributions during maize development remain uncharacterized. Here, we developed IsoClassifier to resolve the transcription start site (TSS) and RNA isoforms of LTR-RTs based on long-read transcriptomics, delineating LTR U3 regions as the native promoter and enhancer of LTR-RTs. We reveal conserved motifs associated with core promoter activity in transcribed LTR-RTs that are highly comparable to gene promoters. Further, we found that LTR-RT transcription in maize was dominated by spliced, long non-coding RNA. Finally, a genome-wide coexpression analysis revealed that LTR-RTs are transcribed as hub-like elements in coexpression networks, suggesting important roles in gene regulation. We conclude that LTR-RTs have similar promoter compositions to gene promoters and likely share similar transcription regulation programs.