Plant Reproduction

Female germline development is fundamental to plant reproduction. During megasporogenesis, a somatic ovule cell differentiates into a megaspore mother cell (MMC) and undergoes meiosis to produce a single haploid megaspore while three spores degenerate. The surviving functional megaspore undergoes three rounds of mitosis during the process of megagametogenesis to produce the seven-celled female gametophyte or embryo sac. The mechanism by which the functional megaspore initiates gametogenesis remained unclear. Here, we show that the chromatin remodelling protein SWI3b is required for the initiation of megagametogenesis, but not for megasporogenesis. SWI3b activity either in the MMC or somatic ovule primordium cells alone is not sufficient for the initiation of megagametogenesis. We identified AGO5 as a direct target of SWI3b, which restricts AGO5 expression to the nucellus. We further show that SWI3b is required for maintaining low histone H3 lysine 9 acetylation level at the AGO5 locus, while elevated AGO5 abundance in the nucellus disrupts the initiation of megagametogenesis. In summary, our study reveals that SWI3b promotes the initiation of megagametogenesis through chromatin-mediated repression of AGO5, leading to its exclusion from the MMC and thereby linking histone acetylation and epigenetic mechanisms to the development of the female germ cells. HighlightsO_LIThe chromatin remodeling complex component SWI3b is required for the initiation of megagametogenesis and early embryo development. C_LIO_LIIn ovule primordia SWI3b restricts AGO5 expression to the nucellus C_LIO_LISWI3b acts via regulating histone acetylation around the AGO5 transcription start site. C_LIO_LIDevelopment of female germ cells are associated to histone acetylation C_LI

Parthenogenesis of totipotent egg cells is rare, yet widespread, across the tree of life but mechanistic insights into factors that control parthenogenesis remain sparse. The Taraxacum officinale PARTHENOGENESIS (ToPAR) gene encodes a C2H2-zinc finger and EAR domain containing protein which is required for parthenogenesis and clonal seed production in apomictic dandelions. Ectopic expression of ToPAR can trigger egg cell division in lettuce and maternal haploid induction in foxtail millet, and ToPAR has been employed in a high-penetrance synthetic apomixis system in hybrid rice. To date a convenient model system to study ToPAR function has yet to be established nor has the capacity for ToPAR to trigger cell division in non-gametic cells been tested. Here, we demonstrate that expression of ToPAR in egg cells of Arabidopsis thaliana using the EGG-CELL 1.1 promoter (pAtEC1.1) causes a reduction in seed set and can trigger egg cell division without fertilization. We found that the pAtEC1.1:ToPAR transgene is rarely transmitted through the female lineage where it causes aberrant cell divisions. Expression of ToPAR in sexual embryos under the WUSCHEL RELATED HOMEOBOX 8 (AtWOX8) promoter alters cell patterning disrupting morphogenesis. Our results demonstrate that A. thaliana can be a powerful system to dissect the mode of action of ToPAR, and that gamete-specific co-factors are not essential for its function.

Arabidopsis Leucine-Rich Repeat-Malectin Receptor Kinase (LRR-MAL RK) genes have been previously implicated in the early stages of pollen-pistil interactions to support compatible pollen. One member, Receptor Kinase in Flowers 1 (RKF1), has been associated with roles in the stigma to support pollen hydration as well as pollen tube growth. To better understand the function of RKF1 in these processes, a yeast two-hybrid screen was conducted with the RKF1 cytosolic kinase domain. Two positive interactors identified from this screen were the Group VII Ethylene Response Factors (ERFVIIs), RELATED TO APETALA 2.12 (RAP2.12) and RAP2.3. Their putative roles in pollen-pistil interactions were investigated using the quintuple erfvii mutant, and novel pistil-mediated pollen tube callose deposition phenotypes were uncovered during the pollen tube growth stage. Loss of seven LRR-MAL RKs including RKF1 in the pistil was previously found to cause an unusual phenotype where shorter callose plugs were deposited in wildtype pollen tubes compared to that seen in wildtype Col-0 pistils. Contrary to this, wildtype pollen tubes growing through the quintuple erfvii mutant pistil deposited callose plugs that were more elongated than that seen in wildtype Col-0 pistils. Further analyses with the proteolysis 6 (prt6) mutant and RAP2.12 rescue constructs were consistent with these phenotypes providing support that RKF1 is a negative regulator of RAP2.12 and RAP2.3 in the pistil during pollen tube growth.

The rejection of self-incompatible (SI) Brassica pollen is mediated by three signaling branches that function in parallel in the stigma. The recognition of SI pollen by the stigma S-Receptor Kinase (SRK) results in activation of the ARM-Repeat-Containing 1 E3 ubiquitin ligase (ARC1) which mediates the degradation of compatibility factors, the FERONIA (FER) and ANJEA (ANJ) receptor kinases that induces ROS accumulation to inhibitory levels and the M Locus Protein Kinase (MLPK) which may also be connected to ROS production. Arabidopsis self-incompatibility is regulated by SRK as well, but the signaling events downstream of SRK following SI pollen perception are less well-understood. In this study, we evaluated the requirements of FER, ANJ and HERCULES RECEPTOR KINASE 1 (HERK1) for SI pollen rejection in the transgenic Arabidopsis thaliana SI-Col-0{psi} srka-1 line. The{psi} srka-1 T-DNA disrupting the expression of the endogenous{psi} SRKA gene was crossed into SI-Col-0 to prevent any potential SRK transgene silencing. T-DNA mutants for FER and ANJ/HERK1 were then crossed into the SI-Col-0{psi} srka-1 line. Using standard assays for pollen-stigma interactions, the SI phenotypes were assessed for the SI-Col-0 fer, SI-Col-0 anj-1 and SI-Col-0 anj-1 herk1-1 lines. Our results presented here indicated that FER and ANJ are not required in the stigma for Arabidopsis SI pollen rejection, further providing evidence for a divergence in the SI downstream signaling pathway in Arabidopsis.

Flower opening is a complex developmental process involving coordinated changes in cell proliferation and cell expansion. Although several regulators of flower opening have been identified, how transcriptional programs are coordinated with the cellular and metabolic changes underlying petal expansion immediately before flower opening remains incompletely understood. Japanese morning glory (Ipomoea nil) is a suitable model for investigating these processes because its flowers open synchronously at a predictable time. This study aimed to identify transcriptional regulators involved in petal development and flower opening in Japanese morning glory. Temporal analyses of petal growth, sugar metabolism, and gene expression revealed that petal development was driven by both cell proliferation and cell expansion until approximately 48 h before flower opening, whereas cell expansion predominated thereafter. Weighted gene co-expression network analysis identified two genes encoding R2R3-MYB subgroup 19 transcription factors, InMYB21A and InMYB21B, as candidate regulators associated with petal development. CRISPR/Cas9-mediated knockout analysis revealed a prominent role for InMYB21B, whose loss markedly impaired petal cell expansion and prevented flower opening. InMYB21B knockout also impaired stamen and pistil development, resulting in male and female sterility. Starch degradation and glucose accumulation were impaired in InMYB21B knockout petals. Transcriptome analysis revealed delayed transcriptomic progression during petal development and reduced expression of genes associated with starch degradation, sucrose metabolism, cell wall remodeling, and water transport. These findings identify InMYB21B as a key regulator of petal cell expansion and flower opening in Japanese morning glory and show that loss of InMYB21B disrupts both metabolic and transcriptomic progression during late petal development.

Plant specific RNA-directed DNA methylation (RdDM) mediates the DNA methylation of specific DNA sequences directed by 24-nucleotide long (nt) small interfering (si)RNAs. In crop plants we have limited information about the biological roles of the RdDM pathway including barley (Hordeum vulgare L). Here, we show that knockout of barley NRPD/E2A gene by genome editing, bringing about the drastic inhibition of RdDM pathway, results in the early arrest of developing caryopses rendering the mutant plants sterile. The knockout of the downstream component RDR2 gene, responsible for generating double stranded precursor RNAs for the production of 24-nt siRNAs, was associated with the loss of the majority of these siRNAs and also typically induced the early arrest of caryopsis development. However, the rdr2 mutants were able to produce a limited number of seeds exhibiting smaller size, endosperm filling anomalies and inhibited germination, which phenomenon was predominantly inherited maternally. Genome-wide analyses of gene expression revealed drastic up-and down-regulations in rdr2 mutants compared to the wild type. We did not find direct correlation between the changes of gene expression and the localization of 24-nt siRNA producing clusters indicating the indirect action of RdDM in these regulatory events. We also demonstrate that rdr2 mutant shows reduced heat stress memory capacity rendering the mutant plants more vulnerable to high temperature. Altogether, our data show the RdDM pathway is a major regulatory contributor to generative development and heat stress responses in barley.

Forward genetics is a powerful approach for gene discovery, but identifying causal mutations becomes difficult when mutants are maintained in heterogeneous populations with uncertain pedigrees. This is exemplified by classical tasselseed (ts) mutants, which have long served as a genetic model for studying sex determination and carpel suppression. Decades of repeated outcrossing to diverse inbred lines have created substantial genetic heterogeneity, limiting the effectiveness of conventional bulked-segregant analysis sequencing (BSA-Seq). To address this, we developed a BSA-Seq framework that integrates flexible experimental designs, multiple reference genomes, and complementary statistical methods tailored for genetically heterogeneous populations. Applying this framework revealed that reference genome selection is critical for mapping success and that Euclidean distance raised to the fourth power (ED4) outperformed homozygosity mapping (HM). Furthermore, the framework enables simultaneous mapping of multiple mutations within a single population, eliminating the need for additional mapping populations. Applying this framework to 26 ts mutant stocks from the Maize Genetics Cooperation Stock Center, we successfully mapped 24 mutants to genomic intervals containing known ts genes, while the remaining mutants mapped to distinct genomic intervals, defining novel candidate regions underlying carpel suppression. Together, these results demonstrate that historical mutant collections represent an underutilized resource for gene discovery and establish a generalizable mapping strategy for unlocking their genetic potential across diverse species.

In angiosperms, ovule development requires the activity of the C, D and E classes of MADS genes, which encode key transcriptional regulators of reproductive development. The SEPALLATA (SEP) MADS transcription factors (MTFs), which belong to the E class, act as organizing hubs of MADS heterotetrameric complexes and play an essential role in the development of flower organs. However, the role of the SEP genes in ovule and seed development has been difficult to determine due to redundancy in the subclade, the lack of observable phenotypes in single and double sep1 sep2 mutants and the homeotic conversion of the carpel into sepal or leaf in higher order sep mutants. Here, we engineered a version of SEP3 (SEP3{Delta}M) that encodes a protein lacking the DNA-binding MADS-domain but retains the oligomerization domains needed for MADS protein heterotetramerization. In vitro experiments demonstrated the ability of SEP3{Delta}M to interact with the C and D classes of MTF, reducing the capability of such MADS complex to efficiently bind DNA. sep3{Delta}M plants showed a delay in flower opening and organ maturation and a reduced fertility. The ovules exhibited reduced outer integument growth, and the few seeds that developed showed impaired mucilage secretion upon imbibition. RNA-seq analysis of sep3{Delta}M demonstrated misregulation of genes involved in outer integument and seed coat development. Taken together, these data indicate the key role of SEP3-containing MADS complexes in proper ovule outer integument growth and seed coat development.

Drought stress severely threatens the stability of production of cereals worldwide. Improving genetic tolerance to drought stress requires detailed characterization of global germplasm collections and their wild relatives under drought conditions. However, the lack of rapid screening methods remains a major obstacle in achieving this goal. Here, we present a rapid, reliable, and highly reproducible soil-based screening protocol for evaluating large germplasm collections under drought stress at the seedling stage. This protocol efficiently discriminates drought tolerant and sensitive genotypes with minimal environmental variability and is broadly applicable across various small grain cereals, enabling the evaluation of 1200 genotypes of wheat, oat, barley, and their wild relatives such as Aegilops tauschii and Ae. umbellulata. Additionally, evaluation of two contrasting wheat genotypes identified using this protocol under drought stress imposed at anthesis and grain filling stages provided evidence that their contrasting drought responses were also consistently maintained at the later developmental stages. Given its efficiency, reproducibility, and cross-species applicability, this protocol offers a practical approach for preliminary screening of large germplasm collections as well as for identifying contrasting genotypes to be included in subsequent breeding, physiological, and genetic studies.

Potato is an important non-cereal food crop worldwide. However, the limited number of functionally validated genes remains a major bottleneck to favorable allele stacking and genome design breeding in potato. Rapid advances in AI agents offer a promising means to support crop breeding by translating natural-language questions into coordinated data analysis and knowledge retrieval. Their reliable use for potato breeding, however, is constrained by fragmented multi-omics resources that lack consistent curation and machine-accessible interfaces. Here, we constructed an agent-ready potato multi-omics database integrating genomic resources from 150 potato accessions, 259 bulk RNA-seq samples, and 14 spatial transcriptomic datasets into a pangenome, a tissue expression atlas, co-expression networks, and spatial expression maps accessible through open APIs. We developed 39 potato-specific Agent Skills for reproducible bioinformatics analysis and comprehensive data and knowledge exploration, enabling natural-language questions to be translated into standardized data-retrieval and analysis tasks. By integrating direct evidence from potato studies, functions of homologous genes in Arabidopsis, rice, and maize, and tissue expression patterns, we generated genome-wide functional predictions for 37,658 genes in the DM reference genome. We further developed Potato Agent as a multi-user, browser-based platform with isolated workspaces and online result preview, reducing the technical burden of agent deployment and providing direct access to integrated data, knowledge, and workflows. Case studies demonstrated its capabilities in reproducible bioinformatics analysis, agent-assisted identification of a tuber development regulator, scientific data visualization, and haplotype-aware promoter analysis and sgRNA design. Together, the agent-ready database and Potato Agent provide an integrated infrastructure for functional gene discovery and hybrid breeding in potato.

Genomic selection (GS) and trait discovery in crops require reliable marker datasets, yet variant discovery remains constrained by the lack of standardised, high-confidence reference resources. Publicly available plant genomic resources are often based on outdated reference genomes, heterogenous pipelines, and generic variant hard-filtering thresholds derived from human studies. Consequently, implementation of the Genome Analysis Toolkit (GATK) Best Practices framework, including machine learning-based variant quality score recalibration (VQSR), remains challenging in crop genomes. Here, we present a crop-adapted framework for unsupervised variant quality assessment and VQSR enabling advanced SNP and insertion-deletion (INDEL) discovery without predefined high-confidence reference variant sets. Using Brassica napus as a model, we use the Illumina 60k Brassica SNP array to generate a reference-specific truth set for data pre-processing and independent evaluation of an unsupervised machine-learning approach for constructing cohort-specific VQSR resources. Gaussian mixture model (GMM)-based clustering of multidimensional variant annotation profiles identifies high-, intermediate-, and low-quality variant classes, providing flexible training resources for VQSR without requiring labelled training data. We further validate the framework in diploid Brassica oleracea and hexaploid wheat (Triticum aestivum) across cohorts differing in population size, genetic diversity, and genome architecture. Despite population- and species-specific differences in variant annotation profiles, GMM-based clustering consistently identifies informative variant quality classes and enables cohort-specific recalibration of both SNPs and INDELs. Our results demonstrate that unsupervised machine learning can extend GATK Best Practices to crop species lacking comprehensive genomic resources, providing a scalable approach for generating high-quality variant datasets for crop genomics and downstream breeding applications.

Mechanistic models of plant regulatory networks typically require extensive parameterization, limiting their generalisation and scalability. Here we present a parameter-free, topology-driven model of shoot branching that predicts phenotypic outcomes from network structure alone. We constructed a signed, directed causal network by distilling regulatory relationships from the published literature spanning many laboratories, species, years, data types, and methodological frameworks. This extracted the essential logic of the system, consistent with developmental-biological reasoning and anchored in empirical evidence. Using PSoup, which automatically translates network topology into algebraic equations, the model propagates information across the network and predicts the qualitative direction of change relative to a defined baseline, mirroring the comparative framework of biological experiments. The pipeline, from network construction through automated equation generation to prediction, is transparent and reproducible. Trained against branching phenotype data with 78 diverse perturbations spanning genetic mutations and hormone treatments, the model achieved 86% accuracy in predicting branching direction. On an independent test set of 84 perturbations measuring bud release and gene expression at nodes not used during training, accuracy reached 75%. The approach highlighted deficiencies in our understanding of the topology of the network around SMXL 6/7/8 and ABA nodes. Other errors came mainly from modelling choices, such as the threshold for scoring a node as changed relative to baseline. Beyond shoot branching, this work demonstrates a general strategy for synthesizing biological knowledge into validated predictive networks, providing a foundation for both applied breeding and the advancement of fundamental biology.

Petal coloration is a key ornamental trait in Cyclamen persicum Mill. and is closely associated with anthocyanin composition and relative accumulation, yet the major anthocyanins and candidate molecular factors associated with color variation remain unclear. In this study, anthocyanin profiling and transcriptome analysis were integrated to investigate three Cyclamen materials with distinct petal colors, BXK, FXK, and SHXK. Anthocyanin profiling showed clear separation among the three materials, indicating that petal color divergence was associated with differences in anthocyanin composition and relative abundance. Petunidin-, peonidin-, delphinidin-, malvidin-, and cyanidin-related derivatives exhibited distinct accumulation patterns. Transcriptome analysis revealed marked transcriptional divergence, with phenylpropanoid and flavonoid biosynthesis repeatedly enriched across comparisons, whereas isoflavonoid and flavone and flavonol biosynthesis were enriched in selected comparisons. Mapping differentially expressed genes onto the anthocyanin biosynthetic pathway revealed branch-specific expression patterns of structural genes, including CHS, F3H/F3'H, F3'5'H, DFR, and ANS. Notably, Cluster-26256.0, annotated as a putative anthocyanidin synthase gene, showed a progressive increase in expression from BXK to FXK and SHXK, consistent with increasing petal pigmentation. Several DFR-related transcripts also showed relatively high expression in SHXK. Co-expression analysis linked key anthocyanins, structural genes, and transcription factors, while qRT-PCR generally confirmed RNA-seq trends. These results suggest that late anthocyanin biosynthesis, particularly ANS-related transcriptional variation, may contribute to dark red petal coloration. This study provides a metabolite-transcript framework for Cyclamen petal coloration and identifies ANS-related genes as priority candidates for future functional studies and flower-color breeding.

BackgroundLeaves maintain hydraulic homeostasis during photosynthesis through the coordinated action of stomata, which regulate gas exchange and transpiration, and veins, which supply water to the leaf lamina. While functional links between stomatal and vascular traits are known in dicots, their potential genetic coordination in C4 crops remains poorly understood. We investigated the genetic architecture of these traits in maize using a Multi-parent Advanced Generation Inter-Cross (MAGIC) population and a low-cost, high-throughput phenotyping platform integrating leaf clearing, digital microscopy, artificial intelligence, and image analysis ResultsWe phenotyped 285 recombinant inbred lines and the MAGIC founder lines, generating 8,072 images from 2,026 leaf samples taken from seedlings grown in controlled conditions. A YOLOv8-based model automatically detected stomata, while a custom and efficient image-processing pipeline quantified vein traits and stomatal spatial distribution patterns along cell bundles. This enabled simultaneous characterization of stomatal density, size, and distribution together with vein density, thickness, and bundle-associated spatial patterning. Substantial phenotypic variation was observed among genotypes, with strong correlations between abaxial and adaxial traits but no significant correlations between stomatal and vein traits. QTL mapping identified 37 genomic regions associated with stomatal and vein traits, including loci containing known developmental regulators such as stomatal density and distribution1 and stomagen1, as well as novel loci controlling stomatal spatial patterns, divergence between leaf surfaces and veins traits. ConclusionsThese results support independent genetic control of stomata and veins and decoupled contribution to water-use efficiency, providing a novel genetic framework to independently optimize leaf hydraulic capacity and gas exchange in target environments.

LED spectral composition is an important tool for improving the growth and nutritional quality of microgreens cultivated in controlled environments. This study evaluated the effects of three LED light treatments on growth, morphology, pigments, primary metabolites, phenolic composition, and antioxidant capacity in arugula (Eruca sativa), mustard (Brassica juncea), and radish (Raphanus sativus) microgreens. Microgreens were cultivated under controlled environmental conditions and exposed to broad-spectrum white (W), blue-enriched white (WB), and red-enriched white (R) light at a photosynthetic photon flux density of 200 micromol/m2/s. Light quality did not affect yield in any species. However, R increased cotyledon area in arugula by 50 to 60% and promoted hypocotyl elongation in both arugula and radish, whereas W resulted in the longest hypocotyls in mustard. Photosynthetic pigment composition responded differently among species. In mustard, WB increased the chlorophyll a/b ratio (1.12 to 1.18), whereas lutein concentration decreased from 7.06 to 4.20 mg 100 g/FW. Primary metabolism also responded to light treatments in a species-dependent manner. In mustard, W increased glucose (0.43 vs. 0.26 and 0.29 g 100 g/ FW) and fructose (0.33 vs. 0.20 and 0.22 g 100 g/ FW) concentrations compared with WB and R. Organic acid composition was more responsive to light treatments in radish, with higher concentrations under R. Phenolic metabolism also responded in a species-dependent manner. In mustard, W increased total phenolic content to 0.25 mg GAE g/FW compared with 0.15 mg GAE g/FW under WB and R, and ABTS antioxidant capacity to 1.17 mg TE g/FW compared with 0.74 and 0.75 mg TE g/FW under WB and R, respectively. Individual phenolic compounds were also affected by light treatments, particularly in arugula and mustard. These findings demonstrate that the effects of LED spectral composition on microgreen quality are highly species-dependent. Therefore, LED light spectra should be optimized according to the target species and the desired quality attributes rather than applying a single lighting strategy to all Brassicaceae microgreens.

Branched-chain amino acids (BCAAs) are essential amino acids involved in protein synthesis and energy metabolism. Because animals cannot synthesize BCAA de novo, plant-derived BCAAs are important to human nutrition. Although mungbean sprouts are widely consumed as functional plant-based food materials, changes in individual BCAA accumulation and their transcriptional regulation during mungbean germination remain poorly understood. In this study, amino acid contents and transcriptomic profiles were analyzed at three germination stages, 8H, 24H, and 72H. Total BCAA content increased during germination, whereas individual BCAAs exhibited distinct temporal accumulation patterns. Isoleucine and valine increased until 72H, while leucine increased during early germination and decreased after 24H. Transcriptome analysis revealed time-dependent expression changes in BCAA biosynthesis and degradation genes associated with the leucine decrease after 24H. These findings suggest that 24H represents an important transition point for BCAA accumulation and compositional change during mungbean germination. This study provides molecular evidence for the regulation of BCAA metabolism during mungbean germination and supports the potential use of germinated mungbean as a plant-based amino acid resource.

Utricularia gibba L. is an aquatic carnivorous plant with a diverse set of capabilities. Reddening of traps frequently occurs in old in vitro cultures. While anthocyanins are often responsible for red coloration in plants, not every plant turns red. Stress factors like high light or excess sucrose have previously been shown to induce the formation of anthocyanins. Here, we hypothesized the red trap formation to be dependent on nutrient deprivation and tested nitrogen deprivation. The results suggest, that only in combination with light, nitrogen deficiency leads to the activation of the complete anthocyanin biosynthesis pathway and visible red coloration. However, in darkness, anthocyanin biosynthesis appears generally less active compared to light conditions and expression of most anthocyanin biosynthesis genes is not significantly upregulated under nitrogen deficiency.

During maturation, flowers exhibit complex and finely-coordinated metabolic events facilitating various physiological changes that occur in a short time-span. The floral carbon metabolism underpins a metabolic frame, which provides energy and metabolites to drive the life-processes in flowers. However, studies on floral maturation in the past mostly focused on specialized metabolism or certain metabolite classes of central carbon metabolism. This study aims to provide a detailed insight into the dynamics of floral carbon metabolism and its role in flower maturation; it also addresses a long-standing question on the role of petal photosynthesis in floral maturation. In this report, time-course metabolomic studies were integrated with various physiological, enzymological, histochemical and ultrastructural findings to present a multi-layered investigation on the maturation physiology of Gardenia carinata flowers. This integrated approach revealed the characteristic metabolic features of different floral maturation stages, and also highlighted the metabolic rearrangements that allow each stage to establish their characteristic metabolic state. The photosynthetic bud stages showed metabolism inclined toward active growth and carbon reserve accumulation. A shift to energy-rich metabolism was observed as the flowers unfurled, probably to support energy-demanding events such as flower opening and changes in specialized metabolism. Our study further demonstrates the mechanisms underlining the transition from autotrophic to heterotrophic metabolism during maturation, which also reflects the plasticity in source-sink dynamics of flowers. We envisage that this study could provide a springboard for elucidating the roles of individual metabolites and enzymes in regulating floral maturation.

Yield improvement is a main issue in the oil palm industry. Several ways to achieve this goal are possible, like, for instance, improving fruit set. Here we explore a planting strategy to increase two major factors influencing pollination; i.e. (1) the number of individuals of its main pollinator, Elaeidobius kamerunicus Faust, and (2) pollen availability, by mixing oil palm planting material, usually highly feminine, with a new oil palm material, the "super-male" (SM) planting material, with a high ratio of male inflorescences. We design and study a field trial comprising extremely feminine planting material mixed with different SM densities. Using Mark-Release-Recapture experiments we estimate the average dispersal of the pollinators over three different periods of the year, from 2017 till 2022. Second, using phenological data recorded over the same period, we studied the impact of the SM planting density on the population size of the pollinators. Finally, we assess the impact over time of different SM planting densities on the fruit set, the fruit-to-bunch, and the number of trapped wild pollinators. The combination of SM material with a highly feminine planting material provides very promising results in terms of fruit set, linked with increased pollinator population and pollen availability, demonstrating its potential for application in oil palm plantations.

Rhamnogalacturonan I (RG-I) is a major pectin domain and an important wall component for cell-cell adhesion. Arabidopsis seed mucilage serves as a powerful model to identify and characterize pectin-related enzymes, since this gelatinous capsule is composed predominantly of RG-I. Although multiple glycosyltransferase (GT) families participate in pectin biosynthesis, only a limited number of their members have been functionally characterized in vivo or biochemically characterized in vitro. In this study, we characterized the biological functions of PEELING WALLS1 (PEEL1), a Golgi-localized GT106 protein that is related to known RG-I rhamnosyltransferases (RRTs). Knocking out PEEL1, but not its close paralog PEEL1-LIKE (PEEL1L), led to patchy mucilage release from seeds upon hydration. However, RG-I content was not compromised in mucilage extracted from peel1 or peel1 peel1L mutant seeds. Treatment of seeds with a cation chelator restored mucilage expansion but failed to rescue the underlying defect in epidermal cell adhesion. Histological experiments and transgene complementation demonstrated that optimal expression of PEEL1 is required for the adhesion of primary walls to the seed surface. Collectively, these findings identify PEEL1 as a previously unrecognized contributor to primary cell wall adhesion and suggest that different RRT-related proteins contribute to unique pectic structures or localizations in vivo, rather than total mucilage RG-I abundance.