Science Bulletin

Background: RSV is a major cause of severe lung infections in young children, with over 95% of deaths occurring in poorer countries. Bangladesh has high rates of RSV illness in children but lacks genetic data from after the COVID-19 pandemic. New vaccines and antibody treatments are now available, making local genetic information essential. Objectives: We sequenced complete RSV genomes from Bangladeshi patients to study virus types, genetic changes, and protein mutations, and shared our data openly. Methods: From August 2024 to December 2025, we took 59 RSV-positive samples with high virus levels from hospital patients and sequenced their full genomes using Oxford Nanopore technology. Results: Among 11,874 patients, 1,390 (11.7%) had RSV, mostly RSV-A (94.6%). We obtained 49 good-quality full genomes from the 59 samples (83% success): 43 RSV-A (ON1 type, five sub-lineages) and 6 RSV-B (BA9 type). We found S276N in 35% of RSV-A and S389P in all RSV-B, but neither stops current antibody treatments. All RSV-A viruses gained a new sugar attachment site on their F protein, and most RSV-B viruses gained one too. We uploaded all 49 genomes to GISAID for public use. Conclusion: This work shows we can do full RSV genome sequencing in Bangladesh. The viruses here still match the targets of new vaccines and antibodies, which is reassuring. Our findings provide a foundation for planning RSV prevention in Bangladesh and South Asia.

Hypertension is commonly defined as a binary condition despite substantial heterogeneity in diagnosis, treatment, and blood pressure (BP) control. We propose a three-axis state model integrating diagnosis status, treatment intensity, and BP control to better characterize hypertension phenotypes. The framework generates 27 possible states that can be condensed into seven clinically meaningful groups. We applied the model to 5,129,584 Japanese adults using the National Database of Health Insurance Claims and Specific Health Checkups. Hierarchical cluster analysis, sensitivity analysis excluding patients with cardiovascular diseases other than hypertension, and validation against antihypertensive medication use were performed. Overall, 64% of participants were classified as normotensive, whereas 36% belonged to hypertension-related groups, including 11% with unrecognized hypertension and 7% with diagnosed but untreated hypertension. Agreement with data-driven hierarchical cluster analysis was substantial (weighted {kappa}=0.87). The group distribution remained largely unchanged in the sensitivity analysis, supporting the robustness of the proposed classification. Hypertension diagnosis also showed high validity, with a sensitivity of 96.5%, specificity of 91.8%, and substantial agreement with antihypertensive medication use ({kappa}=0.78). This three-axis framework provides a robust and clinically interpretable approach for characterizing hypertension phenotypes, enabling systematic identification of care gaps and supporting research, clinical decision-making, and population health management.

The human cerebral cortex folds into a stereotyped shape during gestation. Different principles govern the large and small scales of the final brain geometry. Here, I show that the fetal cerebrum can be described as a band limited spherical harmonic Fourier object which entire gyrification process collapses to a single one-dimensional curve, in which the maximum harmonic degree acts as a developmental coordinate. The closed form descriptor predicts gestational age with mean absolute error 0.13 and 0.38 weeks across fetal brain atlases, exceeding the published learning-based state of the art by a factor of three to seven. The same descriptor, applied to single subjects in the FeTA pathological dataset, can classify the per subject distance from the normative trajectory and discriminate pathological from neurotypical fetuses. The result is a single closed form, zero-training-cost descriptor that simultaneously dates the fetal brain and detects atypical development.

While adeno-associated virus (AAV) vectors have shown therapeutic benefit in clinical applications, noted challenges include low transduction efficiencies, poor cellular targeting, and vector related adverse events. Recently, it was demonstrated that a rationally designed synthetic inverted terminal repeat (SynITR) altered the AAV vector-induced DNA damage response and abrogated apoptosis in human embryonic stem cells. To explore the utility of AAV-SynITR for diverse gene therapy applications, vector production, transduction, and the cellular response were evaluated in various contexts. Regarding production, SynITR preparations exhibited comparable titers to wtITR in a serotype/transgene-independent manner. Despite slightly decreased transduction efficiency in various cell lines, intravenous administration of AAV8 vectors showed SynITR enhanced transduction in a tissue-specific manner in liver (>7-fold) and kidney and pancreas (>2-fold) at equivalent vector copy numbers; however, no differences were observed in muscle/heart/spleen tissues. Interestingly, persistent {gamma}H2AX, a marker of aging/chronic inflammation, was abundant in the liver and spleen following wtITR (but not SynITR) transduction. In human corneas, SynITR enhanced transduction up to 16-fold over wtITRs. These data demonstrate that SynITRs elicit tissue-specific transduction enhancement and alter the cellular stress response. Importantly, the SynITRs offer an alternative context to elucidate wtITR biology for targeted, enhanced, and potentially safer human gene therapy.

Objectives; The role of nuclear receptor subfamily 4, group A, member 3 (NR4A3) in hepatic steatosis, inflammation, and insulin resistance (IR) within the context of metabolic dysfunction-associated steatotic liver disease (MASLD) remains largely underexplored. Consequently, this study aimed to examine NR4A3's impact on MASLD and the potential underlying mechanisms. Methods; We aimed to elucidate the functional role of NR4A3 in MASLD through its knockdown in cell culture and animal models. To establish the cell culture model of MASLD, LO2 cells were treated with free fatty acids (FFAs), while male C57BL/6 mice were fed a high-fat diet (HFD) to create the animal model. NR4A3 knockdown was achieved using specific short hairpin RNA (NR4A3-shRNA) in the mice model and three small interfering RNAs (NR4A3-siRNAs) in the cell culture model. The lipids content, fatty acid synthesis, inflammatory factors, and IR were then assessed with and without NR4A3 knockdown. Furthermore, the underlying mechanism through which NR4A3 exerts its influence was explored by analyzing the interaction between NR4A3 and activating transcription factor 3 (ATF3). Results: In the cell culture experiments, the knockdown of NR4A3 significantly decreased the lipids content, fatty acid synthesis, and inflammatory factors in the LO2 cells treated with FFAs in the NR4A3-shRNA group compared with those in the NC-shRNA control group. In the animal model experiments, NR4A3 knockdown in the HFD male C57BL/6 mice significantly ameliorated HFD-induced hepatic steatosis, inflammation, and IR. Mechanistically, the knockdown of NR4A3 downregulated the expression and transcriptional activity of ATF3, resulting in an impaired ATF3 function. ATF3 overexpression significantly reversed lipid accumulation decline and reduced inflammation after NR4A3 knockdown. Conclusion: The downregulation of NR4A3 alleviates MASLD by modulating ATF3, suggesting this may be a promising therapeutic target.

Nucleotide-binding leucine-rich repeat (NLR) immune receptor genes are of significant value in disease resistance breeding and the control of viral diseases. Soybean mosaic virus (SMV) poses a serious threat to soybean production and the Rsv1 locus in soybean cultivar Suweon 97 confers broad-spectrum resistance against SMV strains G1 to G7; however, this locus harbors no fewer than 18 NLR genes, and thus the broad-spectrum antiviral mechanisms underlying the Rsv1 locus remain poorly understood to date. Here, we established a rapid and highly efficient screening system for cloning NLR genes from soybean Rsv1 locus and identified a broad-spectrum antiviral NLR gene 13g184900 from this highly complicated locus. The NLR encoded by 13g184900 can recognize viral P3 protein from all SMV strains (G1-G7) and another potyvirus Bean common mosaic virus (BCMV). The coiled-coil (CC) domain of this NLR directly interacts with viral P3 protein. Additionally, we showed that this NLR originated from wild soybean accession in East China and has been introduced into several soybean cultivars during domestication. Collectively, we developed a high-throughput screening system for identifying NLR genes in soybean and our study provides new mechanistic perspective on how the Rsv1 locus mediates the broad-spectrum resistance to all SMV G1-G7 strains.

Human aquaporins (AQPs) are essential membrane channels, yet their inherent hydrophobicity complicates structural and functional studies. We present the systematic application of the QTY code to human AQPs, integrating it with AlphaFold 3 structure prediction to design and validate that four-representative human AQPs (AQP1, AQP3, AQP4, AQP7) can be converted into water-soluble analogs while maintaining their conformation. This approach features a novel platform for editing challenging membrane proteins. The QTY code was applied to the transmembrane regions of the selected four AQPs. Subsequently, the water-soluble QTY analogs of the four AQPs were predicted using AlphaFold 3. The predicted structures were superposed with CyroEM- or X-ray-determined native structures in PyMOL. Further analyses included root-mean-square deviation (RMSD) calculations, visualization of hydrophobic surface reduction, and inspection of conserved protein-ligand binding ability. After applying the QTY code, sequence changes between native AQPs and their QTY analogs was significant (42.86-48.80%). Nevertheless, their structures superposed well in analyses, with only slight deviations (RMSD < 0.6 [A]). In addition, the surface hydrophobicity of all QTY-edited AQPs was significantly reduced. Importantly, molecular contacts between the cholesterol ligand and protein were largely preserved for both native AQP1 and its QTY analog. Finally, all AlphaFold3-predicted structures for AQPs have high confidence values (pLDDT > 90; pTM ~0.83), supporting the reliability of the predicted structures. The findings demonstrate that membrane protein hydrophobicity can be edited and reduced without compromising fold integrity or functional architecture. Integration of the QTY code with AlphaFold 3 affords a high-throughput platform for designing water-soluble, structurally faithful analogs of challenging membrane proteins. Such a strategy can provide a potent platform for detergent-free biochemical studies and water-soluble analogs for therapeutic monoclonal antibody discoveries, thus advancing research of this pharmacologically important protein family.

Lipid Nanoparticles (LNPs) are widely used as delivery systems for nucleic acid therapeutics, where transfection efficiency is determined by both the identities of constituent lipid components and their composition ratios. While prior studies have focused on learning molecular representations for individual components, modeling how multiple components and their ratios jointly influence LNP performance remains underexplored. In this work, we propose STRATA, a framework that models molecule interaction between LNP components, which is known to contribute to LNP transfection efficiency. Our approach is built on two complementary views: (1) a ratio-centric view that captures interaction patterns induced by composition ratios through a transformer with a Ratio-induced Positional Embedding, and (2) a molecule-centric view that incorporates interaction-induced effects into structure-based molecule embeddings. By jointly training and aligning these views, our model integrates molecular structure and composition ratio within a unified framework that captures interaction-driven effects. Experiments demonstrate that our method improves prediction accuracy and generalization to unseen molecules and ratios, highlighting the effectiveness of our approach. Implementation code will be available after acceptance.

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

Herpes simplex virus type 1 (HSV-1) is a common human pathogen that undergoes lytic replication in epithelial and other permissive cell types and can establish latency in peripheral neurons. ICP22 is a multifunctional HSV-1 immediate-early protein that localizes to the nucleus of infected cells; however, its interactions with host cellular factors remain incompletely understood. Here, ICP22 was demonstrated to interact with the human antisense function 1 protein (ASF1), including both ASF1a and ASF1b, in transfected cells and HSV-1-infected cells, respectively. ICP22 also colocalized with ASF1 in the nucleus. ICP22 amino acids 213 to 340 are important for the interaction of ICP22 with ASF1, whereas amino acids 37 to 153 of ASF1a and ASF1b are critical for their interactions with ICP22. Furthermore, ICP22 expression was associated with reduced ASF1-H3.1 co-immunoprecipitation under the tested conditions. ASF1 knockdown also reduced HSV-1-BAC-Luc luciferase output, indicating that ASF1 contributes to efficient infection-associated reporter activity in this study. Collectively, these results indicate that the interaction of HSV-1 ICP22 with ASF1 might help regulate the transcription of viral or cellular genes during HSV-1 infection. Keywords: HSV-1, ICP22, ASF1, histone H3.

Discovering small molecules targeting proteins represents a major effort in drug development. RNA, however, as a class of macromolecule that carrying out important regulatory roles in the cell as drug target, only received attention recently. Although several methods have been proposed, an easy to operate, fast and robust method is still lacking. We designed a generic florescence screening method by fusing the target RNA with a florescent aptamer (fusion RNA) and then carried out screening using high-throughput format (Fluorescent Aptamer Screening, FAS). In this work, we chose SL5 on SARS-Cov-2 5’UTR as the test target. SL5 is a conserved motif across several corona virus family members whose core is not prone to mutation. We screened 9528 compounds, successfully identified four molecules (Sertraline (hydrochloride), Samuraciclib (hydrochloride), Minocycline (hydrochloride), JG-98 bind direct to the full-length SL5 at micromolar or higher affinity. The design of FAS could be easily adapted to structured RNA motifs without prior knowledge of its 3D structural information. In addition, this work showed the possibility of developing generic drugs for RNA virus by targeting the conserved viral RNA genome and paved a new way for the discovery of small molecule drugs in combating human diseases.

Accurate measurement of intra-cardiac blood oxygen (O2) saturation is essential for cardiovascular assessment, yet current methods require invasive catheterization. T2-based cardiac magnetic resonance imaging (CMRI) enables non-invasive O2 quantification, but deep learning automation is constrained by scarce annotated data. We propose a unified self-supervised learning (SSL) framework integrating cine CMRI and T2 oximetry CMRI to learn generalizable representations without labels. Our approach pre-trains ResNet and vision transformer encoders using contrastive learning and masked image modeling on over 48,000 cardiac images. Pre-trained encoders are fine-tuned for O2 saturation regression with uncertainty quantification to enhance clinical trustworthiness. Our SSL framework significantly outperforms traditional radiomics and supervised baselines, with SimCLR pre-trained ResNet achieving a mean absolute error of 3.70, representing over 15\% improvement. These findings demonstrate SSL's potential to address annotation bottlenecks in non-invasive cardiac diagnostics.

Zika virus (ZIKV) is an arthropod-borne flavivirus of international public health impact. ZIKV has a positive-sense, single-stranded RNA genome and remodels intracellular membranes to form replication complexes (RCs). The objective of this study was to isolate and characterize the RCs from ZIKV-infected cells and to identify host-cell components recruited to participate in viral replication. Here, we isolated the RCs from ZIKV-infected Vero cells by detergent treatment and flotation centrifugation. Fractional flotation analysis demonstrated that ZIKV proteins NS2B, NS3, and NS5, and ZIKV RNA were present in the detergent-resistant membranous fraction. In contrast, the ER-resident protein calnexin and a mitochondrial protein were present in the detergent-soluble fractions. The isolated RCs were functional for ZIKV RNA synthesis, as shown by quantitative PCR. To determine the components of the RCs, we conducted mass spectrometry analysis and identified numerous cellular proteins. Among them is the replication factor C subunit 2 (RFC2), an accessory protein of DNA polymerase. RFC2 is involved in ATP binding and hydrolysis and may promote cell survival. ZIKV infection increased the RFC2 protein level and induced its relocation to the cytoplasm. RNAi-mediated silencing of RFC2 reduced ZIKV replication. Together, our results provide insights into ZIKV replication and virus-cell interaction.

Serial-section immunohistochemistry (IHC) is the largest available source of paired hematoxylin and eosin (HE) and IHC whole slide images, yet it remains underexploited for cell-level supervision: adjacent sections sample non-identical cells, and residual registration error prevents direct assignment of IHC labels to individual HE cells. We present CellDF (Cell Displacement Field), which turns registered serial-section data into pairs of HE cells and their IHC labels by solving cell matching at whole-slide scale and assessing its reliability without ground-truth correspondences. CellDF estimates a locally adaptive residual displacement field through iterated kernel regression over each HE cells K nearest IHC candidates; a sparse-kernel variant keeps it tractable at the cell counts of a whole slide, where pairwise matchers are not. The within-tile distribution of the estimated displacements yields two ground-truth-free statistics, the directional scatter{sigma}{theta} and the between-tile angular deviation |{Delta}{theta}|, that localize matching quality more finely than landmark-based target registration error and drive a two-stage outlier filter that withholds labels where matching is unreliable. On 54 same-section HyReCo pairs,{sigma}{theta} correlates only moderately with landmark error and flags localized restaining damage that global error misses; on 30 four-marker Acrobat serial-section cases, the same statistic flags which IHC marker, if any, lies physically close enough to HE to support cell-level transfer. As a proof of concept, IHC labels transferred through CellDF trained a cell classifier on HE embeddings that generalized to held-out cells within the sample (F1 0.85, AUROC 0.88), establishing serial-section IHC as a usable cell-level labeling resource. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=78 SRC="FIGDIR/small/733058v1_ufig1.gif" ALT="Figure 1"> View larger version (42K): org.highwire.dtl.DTLVardef@a9b3dcorg.highwire.dtl.DTLVardef@15f652corg.highwire.dtl.DTLVardef@1eb3396org.highwire.dtl.DTLVardef@87dda2_HPS_FORMAT_FIGEXP M_FIG C_FIG

Abnormal states such as erroneous behaviors are generally difficult to represent from neural data. However, such states are also known to have specific spatiotemporal features, indicating a feasibility of developing a method to focus on them. If a method can highlight these spatiotemporal features, it may effectively represent such abnormal states, helping evaluate abnormal brain functions. In the present study, we proposed the hierarchy of supported modules (HSM) to highlight spatiotemporal features that can represent abnormal states. HSM spatiotemporally transforms multidimensional neural time-series based on their spatiotemporal context. We evaluated HSM through decoding and similarity analyses using multiple publicly available datasets. In the HSM results, decoding accuracies were higher for erroneous behaviors than for normal behaviors, and similarities were lower between erroneous behaviors and normal behaviors than between normal behaviors, demonstrating the ability of HSM to capture the spatiotemporal features of erroneous behaviors. Surprisingly, many parts of these results were also present even before HSM learning, showing the virtue of HSM as a simple-to-use method. The proposed HSM method may help elucidate the mechanisms underlying erroneous behaviors.

Minimally invasive endovascular procedures offer reduced surgical trauma, shorter recovery times, and improved outcomes, but rely on 2D fluoroscopic X-ray imaging, which provides limited depth perception and exposes patients and clinicians to ionizing radiation. Here we present an augmented reality (AR) system that fuses intravascular ultrasound (IVUS) and electromagnetic (EM) position tracking with preoperative computed tomography (CT) to produce an anatomically accurate, deformation-corrected navigational reference. A robotic device performs ECG-gated pullback of the IVUS probe, capturing 4D aortic motion across the cardiac cycle. We introduce a deep learning architecture for extracting vascular lumen boundaries and side-branch orifices from artifact-prone IVUS streams, and a semantically driven non-rigid CT-IVUS fusion pipeline robust to false positive landmarks. We evaluate the platform with trained surgeons in benchtop phantom studies and in-vivo ovine models, and demonstrate its application to fenestrated endovascular aneurysm repair (FEVAR). Compared to fluoroscopy alone, AR guidance significantly reduces cannulation time, radiation exposure, and cognitive workload, while improving procedural efficiency and safety. Our IVUS-EM and CT aortic datasets are released open source.

Classical swine fever (CSF) is a highly contagious disease caused by Classical swine fever virus (CSFV), posing a serious threat to the global swine industry. This study aimed to investigate the effect of CSFV on differential genes of histone lactylation at the H3K18 site in the PI3K-AKT signaling pathway. The site with the most significant change in histone lactylation antibody level was screened by Western blot. Omics analysis was performed using CUT&Tag technology to identify differential genes in the PI3K-AKT pathway between the CSFV-infected group and the mock group, followed by validation using RT-qPCR. Functional analysis of significantly differential proteins was conducted, and the protein expression level of THBS4 was detected by Western blot. The results showed that after CSFV infection of 3D4/21 cells, the H3K18la site exhibited the most significant difference in antibody level. A total of 8,859 differential genes at the H3K18la site were identified by CUT&Tag analysis, including 6,349 up-regulated genes and 2,510 down-regulated genes. Further focusing on the PI3K-AKT signaling pathway, 10 differential genes were identified, comprising 6 up-regulated genes and 4 down-regulated genes. Compared with the control group, the mRNA expression levels of CD19, LAMA1, PDGFRA, BDNF, ANGPT4, and THBS4 were up-regulated in the CSFV-infected group, while FOXO3 and NRTN were down-regulated. Western blot results showed that the protein expression level of THBS4 increased after CSFV infection. These findings lay an important foundation for understanding the molecular mechanisms regulating viral replication and immune evasion, and have significant scientific implications and potential application value.

Influenza viruses circulate in humans, causing a substantial burden on global health. Investigation of influenza-host interactions could identify host factors that regulate influenza pathogenicity. Sphingosine 1-phosphate (S1P) is a bioactive lipid mediator and regulates crucial cellular processes. S1P lyase (SPL), an enzyme that mediates S1P degradation, was shown to display anti-influenza activity in a cell culture system. Here, we constructed a mouse model to demonstrate the antiviral function of SPL in respiratory epithelial cells during influenza in vivo. Deletion of SPL from lung epithelial cells exacerbated influenza-induced weight loss and mortality. Influenza virus began to propagate more effectively in the absence of SPL at the innate immune stage. Increased virus titers were sustained during influenza and associated with enhanced accumulation of multiple immune cell types in the lungs. Single-cell RNA sequencing was conducted to further define the function of SPL in lung epithelial cells. SPL deletion increased the proportion of alveolar type 1 (AT1) cells compared to alveolar type 2 (AT2) cells with alteration of the related signaling pathways, suggesting a role of SPL in AT1/AT2 programming. Importantly, host innate defense pathways were changed in SPL-deficient lung epithelial cells upon infection, which corroborates the antiviral function of SPL. This study elucidates the host protective function of SPL in lung epithelial cells during influenza and provides gene signature profiles critical for SPL-mediated alleviation of influenza pathogenicity. The findings may contribute to development of host-directed therapeutics to better control influenza.

Influenza virus poses a potential risk of triggering the next global pandemic. In-depth investigation into the mechanisms underlying influenza virus replication and pathogenicity will provide robust support for controlling influenza virus infection. Although post-translational modifications are known to regulate viral infection, the role of lactylation in influenza virus replication remains elusive. In this study, influenza virus ribonucleoprotein complex subunits are found to be lactylated. Specifically, ATAT1 promotes viral polymerase acidic protein (PA) lactylation and enhances viral replication. In contrast, SIRT1 mediates de-lactylation of PA and exerts an inhibitory effect on viral replication. Further investigations reveal lactylation of PA at residues K605 and K609 is essential for viral replication and pathogenicity. Mechanistically, PA K605/609 residues are localized at the interaction interface of the ANP32-mediated polymerase asymmetric dimer; mutation at these residues inhibits polymerase asymmetric dimerization, thereby impairing RNA production during viral genome replication. Collectively, this study uncovers a novel mechanism by which influenza virus hijacks host enzymes to mediate PA lactylation, and expands the molecular regulatory network of influenza virus infection.

Polycomb Repressive Complex 2 (PRC2) is a histone H3K27 methyltransferase that represses gene expression. Arabidopsis thaliana (A. thaliana) has several different PRC2 isoforms that are functionally distinct during the life cycle of the plants. However, their biochemical and structural characteristics have not been investigated. Here, we biochemically characterized PRC2 isoforms having different catalytic subunits: SWNINGER (SWN; PRC2 SWN ) and CURLY LEAF (CLF; PRC2 CLF ). Interestingly, PRC2 SWN showed much lower activity than PRC2 CLF . In addition, PRC2 SWN methylates histone H3K27 in mono and di-methylation, while PRC2 CLF shows robust tri-methylase activity. We also determined the cryo-electron microscopy (cryo-EM) structures of PRC2 SWN and PRC2 CLF , revealing that the substrate binding pocket of the SWN SET domain is blocked by a loop in the pre-SET domain, functioning as an auto-inhibitory loop, while that of the CLF SET domain is freely accessible. Introduction of CLF-like mutations in the auto-inhibitory loop in SWN enhances PRC2 SWN activity. Furthermore, structure-guided in planta analysis shows that a CLF-mimetic SWN mutant rescues the CLF knockout phenotype. Our work provides structural and molecular insights into the isoform-specific regulatory mechanism of plant PRC2.