Biology subjects

Jiang, C.

Publications and source records attributed to Jiang, C..

At least 19 recordsLinked to original sources

bioRxiv2026

A portable C-terminal rheostat calibrates RecE/Redα exonuclease activity for enhanced bacterial recombineering

Recombineering enables precise genome engineering across diverse bacteria, yet efficient tools for large DNA integration remain underdeveloped for Streptomyces and other biotechnologically relevant bacteria. Here we identify a panel of highly active RecET recombinase pairs from actinobacteriophages that mediate efficient homologous recombination in Streptomyces. The lead candidate, Che9cRecET, supports genomic integration of kilobase-scale DNA with only 50bp homology arms and enables accurate insertion of 79kb biosynthetic gene clusters, far outperforming conventional genome editing approaches. Structural and biochemical analyses reveal Che9cRecE as a distinct C3-symmetric toroidal homotrimeric 5'-3' exonuclease, whose extended C-terminal loop acts as a tunable rheostat calibrating exonuclease activity to an optimal window for recombination. We further show this portable C-terminal loop enhances recombineering efficiency across phylogenetically diverse exonucleases including Escherichia coli Redalpha/RecE and Pseudomonas A. Our work uncovers a conserved regulatory mechanism of the RecE/Redalpha exonuclease family and delivers a generalizable strategy for advancing bacterial genome editing.

molecular biology↗

bioRxiv2026

Cancer cells acquire cysteine directly from a reduced tumor microenvironment

The metabolic environment of a tumor is shaped by the nutrients available in its interstitial fluid, yet the redox composition of that fluid is poorly defined. Measuring sulfur metabolites in the interstitial fluid of tumors, matched healthy organs, and serum across three mouse models of cancer, we find that the tumor microenvironment (TME) is a chemically reduced compartment in which free cysteine predominates over its oxidized form, cystine. This is especially pronounced in the lung TME, where cystine is nearly absent. We further show that lung cancer cells take up cysteine and cystine with comparable efficiency and proliferate on cysteine alone, and that the abundant glutathione in the TME helps keep cysteine reduced through disulfide exchange. In a medium formulated to match the sulfur composition of the lung tumor interstitial fluid, cells become independent of cystine import through xCT. Cells cultured in this medium were resistant to glutaminase inhibitors, oxidants and ferroptosis inducers, and better maintained NADPH levels under oxidative challenge. These findings suggest that standard culture conditions overestimate the dependence of cancer cells on cystine uptake and their vulnerability to oxidative stress-targeting therapies.

cancer biology↗

bioRxiv2026

CnidoSite: A Multi-Omics Database for Cnidarians

The phylum Cnidaria, encompassing reef-building corals, sea anemones, hydroids, and jellyfish, includes both ecological keystones of the marine biosphere and indispensable models for reconstructing early animal evolution. However, escalating ocean warming, recurrent mass coral bleaching events, and intensifying jellyfish blooms have underscored the urgent need to dissect the molecular underpinnings of cnidarian thermal tolerance, symbiosis, and environmental adaptation. Progress in cnidarian research is hindered by the lack of centralized, high-quality multi-omics resources. To address this, we present CnidoSite (https://CnidoSite.org), a comprehensive, analysis-ready multi-omics platform dedicated to Cnidaria. Spanning 327 species across 120 families, 23 orders, and 7 classes, it integrates 147 full-annotated genomes, 15,642 bulk transcriptomes, 50 single-cell datasets, 46 proteomes, 723 epigenomes, 1,650 metagenomic samples, and 180,652 phenotype records. Complemented by advanced toolkits for multidimensional functional and comparative analyses, CnidoSite provides extensive functional genomic resources, including genome assemblies, phylogenies, fossil entries, functional annotations, BUSCO assessments, and mitochondrial annotations. Key features include 29 co-expression networks with cross-tissue visualization and single-cell atlases to map developmental trajectories and stress responses. In summary, CnidoSite serves as a centralized platform that bridges cnidarian biology, marine conservation, and evolutionary genomics to investigate coral bleaching, symbiosis breakdown, jellyfish blooms, and the mechanisms driving environmental adaptation.

bioinformatics↗

bioRxiv2026

scStable: assessing scRNA-seq analysis stability under bulk-derived between-sample variation

Single-cell RNA sequencing (scRNA-seq) studies often profile only one or a few biological samples, limiting assessment of discovery stability under between-sample variation. We present scStable, a framework for assessing scRNA-seq analysis stability by generating synthetic samples that preserve cell-level heterogeneity from a single-sample reference while injecting bulk-derived between-sample variation. In gastric cancer data comprising 21 matched scRNA-seq and bulk RNA-seq profiles, scStable better recapitulates observed between-sample variation than ZINB-WaVE, subsampling, and Gaussian noise injection. Using synthetic sam-ples, scStable enables stability-aware analysis, including prioritization of stable differentially expressed genes and selection of clustering methods and hyperparameters.

bioinformatics↗

bioRxiv2026

PerturbBridge: Conditional Latent Schr\"{o}dinger Bridge for Single-Cell Perturbation Prediction

Single-cell perturbation response prediction seeks to recover transcriptional responses under unseen perturbation conditions. Because RNA sequencing measurements are destructive, control and perturbed cells are typically observed as unpaired populations without cell-level correspondence, shifting the prediction objective from individual cellular outcomes to perturbation-specific population distributions. The Schr"odinger Bridge (SB) provides a principled framework for modeling these population-level transitions as stochastic transport, but learning bridge dynamics from high-dimensional, sparse gene-expression profiles remains challenging. We propose PerturbBridge, a conditional latent Schr\"odinger Bridge framework that reformulates stochastic population transport over high-dimensional, sparse gene-expression profiles as bridge learning in a compact cell latent space. This formulation enables an efficient approximation of SB-based stochastic population transport in single-cell perturbation prediction. PerturbBridge first learns a compact latent representation following the \beta-TCVAE paradigm \citep{chen2018isolating}, alleviating the challenges caused by high dimensionality and sparsity during bridge learning. An interpolation-consistency regularizer further encourages agreement between decoded latent interpolations and the corresponding expression-space interpolations. PerturbBridge then learns a perturbation-conditioned latent bridge using a tractable stochastic SB approximation between latent control and target populations, with endpoint MMD regularization promoting alignment between generated and observed target distributions. Experiments on the Norman CRISPR and Sci-Plex3 chemical perturbation benchmarks demonstrate competitive performance across all evaluation metrics. Notably, PerturbBridge achieves state-of-the-art performance in differential-expression recovery on both benchmarks, highlighting the effectiveness of latent stochastic transport modeling for population-level single-cell perturbation prediction.

bioinformatics↗

bioRxiv2026

A platform for deep topographic multiomic mapping of the bone marrow environment in multiple myeloma

Multiple myeloma is a genetically complex plasma cell malignancy in which profound intratumoral heterogeneity shapes disease progression and therapeutic resistance. Genomic subclones dynamically emerge and evolve under treatment pressure, yet their spatial organization within intact bone marrow remains poorly defined. We hypothesized that genetically distinct myeloma subclones occupy spatially discrete ecological niches associated with unique molecular and microenvironmental states. To test this, we here demonstrate a proof-of-concept spatial tri-omics workflow combining laser capture microdissection-based genomics and deep LC-MS/MS proteomics with single-cell spatial transcriptomics, integrated by digital co-registration of adjacent tissue sections. Applied to a myeloma bone marrow trephine, this approach enabled coordinated profiling of matched anatomical regions demonstrating that genomic, transcriptomic and proteomic profiles converged to define clone-specific microenvironmental programmes. We show that genetically distinct myeloma subclones occupy mutually exclusive regions of the same bone marrow biopsy. Remarkably, an aggressive del(17p) clone and a gain(12q) clone occupied defined anatomical territories within the same trephine-biopsied section, each clone exhibiting distinct genomic, transcriptomic, proteomic and cellular ecosystems. The del(17p) clone localized to a fibrotic, osteolytic and angiogenic niche enriched for activated stromal cells, osteoblasts, osteoclasts and immunoregulatory myeloid populations, whereas the gain(12q) clone occupied a comparatively quiescent marrow niche with limited stromal remodelling. Together, these findings demonstrate that genetically distinct myeloma subclones establish spatially and biologically discrete ecological niches through coordinated remodelling of stromal, immune and bone compartments, providing a framework for understanding clonal evolution within the bone marrow microenvironment.

cancer biology↗

bioRxiv2026

A fibroblast-rich transcriptomic axis reflects stromal remodeling within the CMS4 phenotype in colorectal cancer

Bulk-tumor expression signatures can reflect cellular composition as well as tumor-cell programs. We evaluated a frozen, equal-weight 87-gene score in colorectal cancer using 11 Gene Expression Omnibus (GEO) cohorts, TCGA COAD/READ, and E-MTAB-12862. In GEO (1,783 tumors; 441 progression-related events), the hazard ratio per score standard deviation was 1.33 (95% confidence interval, 1.19-1.49). The estimate was similar in seven disease-free-survival cohorts. In 376 TCGA tumors, the hazard ratio was 1.25 (1.03-1.52) for progression-free interval. The association did not reproduce in E-MTAB-12862: among 948 stage I-III tumors with 436 recurrence-free-survival events, the hazard ratio was 1.05 (0.95-1.16). The frozen score correlated with CMS4, cancer-associated fibroblast, and stromal measures. The stromal-remodeling module produced a GEO estimate similar to the full score, whereas removing that module attenuated the association. Composition residualization did not detect additional prognostic information after accounting for the measured CMS4 and stromal components. Single-cell and spatial analyses localized the gene program to fibroblast-rich compartments. The 87-gene score mainly reflects a fibroblast-rich, matrix-remodeling component of CMS4 rather than an independent prognostic subtype. Its prognostic association varied across cohorts, and current evidence does not support clinical use.

cancer biology↗

bioRxiv2026

Plasma Proteomic Profiling Identifies a Subset of HIV Elite Controllers with Inflammatory Profiles Resembling People Without HIV

Background: Elite controllers (ECs) are people with HIV (PWH) who suppress viral replication without antiretroviral therapy (ART). A subset, often termed exceptional elite controllers (EECs), harbor very small viral reservoirs, with few intact proviruses integrated into inactive chromosomal regions. Defining inflammatory signatures in ECs may clarify whether some approach a functionally cured state. Methods: We measured 384 plasma proteins in ART-naive ECs (n=62), ART-suppressed non-controllers (n=37), and people without HIV (PwoH) (n=50) using Olink proteomics, and compared proteomic profiles, clinical parameters, and intact reservoir data using FLIP-Seq. Hierarchical clustering identified ECs whose proteomic profiles most closely resembled PWoH; this subset was further analyzed using machine-learning approaches. Results: ART-suppressed non-controllers had higher inflammatory protein levels than ART-naive ECs, yet ECs still showed elevated inflammation and lower CD4:CD8 ratios compared with PWoH. Clustering analysis revealed a distinct subset of ECs (n=9) whose profiles closely matched those without HIV (ECs with PWoH-like proteomic profiles), a pattern not observed in ART-suppressed non-controllers. Compared to typical ECs, ECs with PWoH-like proteomic profiles had consistently lower IL-1{beta}, SCRN1, and BID, numerically lower intact proviral frequencies, and a high frequency of protective HLA alleles. Machine-learning analyses highlighted features that most strongly differentiated ECs with PWoH-like proteomic profiles from typical ECs, including reduced gut mucosal/intestinal epithelial-associated proteins, higher absolute CD4 counts, and lower levels of pro-inflammatory cytokines and cellular immune activation. Conclusions: These findings identify a subset of ECs with a PWoH-like inflammatory proteomic profile, accompanied by numerically lower intact HIV reservoirs and a high frequency of protective HLA alleles. Defining the mechanisms associated with this low-inflammatory state may provide insights into exceptional HIV control and inform strategies for durable HIV remission.

immunology↗

bioRxiv2026

The neural geometry of surprise: Graded boundary breakthroughs in the human brain

How whole-brain neural states reorganize when events violate observers' predictions remains unclear. Using naturalistic magic-viewing fMRI, we show that more surprising events carry the whole-brain neural state progressively farther beyond the range occupied during non-surprise viewing. This graded departure is accompanied by coordinated reconfiguration across sensory and association systems rather than uniform response amplification. We call this phenomenon a boundary breakthrough. To quantify its depth, we used non-surprise brain states to define a reference range along the surprise-related transition direction. Boundary exceedance (E_BB) expresses the depth beyond this range in bits; each additional bit means that a reference state is half as likely to reach at least that far. On this scale, depth increased with independently rated surprise intensity, specifically in the breakthrough state and not in the paired reference state. Peri-event trajectories showed that the event deepened an excursion already under way. Exploratory analyses linked exceedance to one-week recognition memory in a surprise-dependent manner. Together, these findings identify a graded systems-level relationship between surprise intensity and the departure of the whole-brain neural state from its non-surprise reference range.

neuroscience↗

bioRxiv2026

PartitionFinder-mAIC: Phylogenetic Partitioning using Marginal Akaike Information Criterion

Partition models are widely used in phylogenomic analyses to account for heterogeneous evolutionary processes across different regions or loci of a sequence alignment. How alignment regions are grouped into partitions (the partitioning scheme) affects both the degree of over- or under-parameterization and the accuracy of downstream phylogenetic inferences. PartitionFinder is a widely adopted framework for selecting an optimal partitioning scheme. Using Akaike information criterion (AIC) and Bayesian information criterion (BIC), PartitionFinder merges partitions with similar evolutionary processes to avoid model overfitting. However, AIC and BIC are based on conditional likelihoods that treat partition assignments as fixed, whereas the recently introduced marginal AIC (mAIC) averages site likelihoods over the models of all partitions, providing a more appropriate criterion for inferring global parameters such as tree topology and branch lengths (Susko et al. 2026). Here, we implement mAIC for partition models in IQ-TREE 3 and integrate it into the PartitionFinder algorithms. Using a range of simulated and empirical DNA and protein datasets, we show that PartitionFinder-mAIC yields partitioning schemes with fewer partitions than those selected by AIC or BIC, and additionally improves phylogenetic inference at most key branches of the green plant evolution. The new PartitionFinder-mAIC is available in IQ-TREE version 3.1.4 with the command-line option -merit mAIC.

evolutionary biology↗

bioRxiv2026

TEDDY: An integrative workflow for TE-chimeric isoform reconstruction and systematic characterization of TE-dependent transcriptional regulation

Transposable elements (TEs) substantially expand transcriptional regulation and complexity. Despite advances in sequencing technologies, the systematic interrogation of TE-dependent transcripts across diverse samples and platforms remains limited. Here we introduce TEDDY, a computational workflow for large-scale reconstruction, quantification and regulatory inference of TE-dependent isoforms. Using TEDDY, we resolved the landscape of TE-dependent isoforms in mammalian preimplantation development, revealing a conserved pattern of stage-specific isoform generation via species-specific TE exonization. We reconstruct a TE-dependent regulatory network underlying pluripotent-to-totipotent transition wherein key transcription factors are driven by TE-derived promoters and validated experimentally. Within this network, Arid3a, a novel regulator nominated by TEDDY, was functionally validated as essential for totipotency establishment and early development. Further application of TEDDY to hepatocellular carcinoma identified recurrence-associated prognostic isoforms, underscoring their clinical relevance. Benchmarking establishes TEDDY's accuracy and efficiency with unique capabilities in full-length isoform recovery, cross-sample and -platform analysis, visualization, and TF-TE-gene network reconstruction, making TEDDY applicable across diverse biological contexts.

genomics↗

bioRxiv2026

A durably colonizing engineered native symbiont enables sustained intestinal delivery for metabolic dysfunction and colitis

BackgroundEngineered bacterial therapeutics represent a promising strategy for sustained intestinal delivery of therapeutic molecules, but their efficacy is limited by inefficient colonisation, safety concerns and the need for repeated administration or auxiliary delivery systems. ObjectiveTo develop a safety-optimised native bacterial chassis capable of long-term gut colonisation and sustained therapeutic delivery for intestinal inflammatory and metabolic diseases. DesignNative murine Escherichia coli isolates were screened for antibiotic susceptibility, genetic tractability and long-term intestinal colonisation. The selected strain, MEc30, was further optimised by deleting the putative virulence-associated clb and irp loci. MEc30 was then engineered to deliver murine interleukin-10 (MEc30-mIL-10) or produce nicotinic acid (MEc30-NA), and therapeutic efficacy was evaluated in Il10-/- colitis and high-fat diet-induced metabolic dysfunction models. ResultsMEc30 achieved stable lifelong colonisation of the murine intestine after a single oral administration, without antibiotic preconditioning or auxiliary delivery systems, and did not detectably disturb host physiology or gut microbial ecology. Deletion of clb and irp abolished potential colibactin- and yersiniabactin-associated biosafety risks while preserving bacterial growth and colonisation capacity. MEc30-NA continuously produced nicotinic acid in the gut, activated epithelial GPR109a-associated barrier signalling, improved glucose and lipid metabolism, reduced systemic inflammation and avoided the sharp peak exposure associated with conventional nicotinic acid administration. MEc30-mIL-10 enabled sustained intestinal IL-10 delivery, suppressed inflammatory macrophage activation, improved barrier integrity and alleviated spontaneous colitis in Il10-/- mice. ConclusionThis study identifies MEc30 as a durable and safety-optimised native E. coli chassis for sustained intestinal therapeutic delivery. Engineered native symbionts may provide a long-acting live biotherapeutic strategy for chronic intestinal inflammatory and metabolic diseases.

microbiology↗

bioRxiv2026

From soil to sea: unravelling the metabolic versatility and social dynamics of Myxococcota bacteria from different Danish environments

Myxococcota are globally distributed bacteria renowned for their remarkable ecological and biotechnological significance due to their complex lifestyles, social behaviour, and secondary metabolite production. Despite their ubiquity in diverse environments, including soil, marine, and extreme habitats, their diversity and ecological roles remain underexplored. Here, we utilized the Microflora Danica dataset, encompassing >10,000 metagenomes and >400 rRNA gene datasets from various environments in Denmark, to investigate the distribution, diversity, and metabolic potential of Myxococcota. We show that Myxococcota are ubiquitous but strongly structured by environment, with soil-associated lineages enriched in predatory and multicellular development traits, whereas aquatic-associated taxa exhibit alternative lifestyles, including anaerobic metabolism and phototrophy. Comparative genomic analysis reveals widespread potential for secondary metabolite production, hydrocarbon degradation, and organohalide transformation, alongside diverse contribution to carbon and nutrient cycling. Together, these findings redefine Myxococcota as a functionally diverse and ecologically differentiated phylum, extending beyond canonical predation and multicellularity, and underscore their promise as large reservoir of unexplored functional potential for biotechnological applications in drug discovery and environmental remediation.

ecology↗

bioRxiv2026

Ventricular Expansion Couples Hyperosmotic Stress to Thirst

Thirst is thought to arise from osmotic signals detected by circumventricular organs, yet how hyperosmotic stress activates mechanosensitive channels remains unclear because cell shrinkage should reduce membrane tension. Here we identify a brain-scale mechanical signal that couples systemic osmotic stress to drinking. In mice, hypertonic saline rapidly increased serum and cerebrospinal fluid osmolality, expanded the lateral ventricles, and promoted water intake. Relieving or blocking ventricular deformation attenuated drinking without eliminating osmotic gradients. Hyperosmotic challenge also produced localized deformation of periventricular cells, where spatial transcriptomics revealed candidate mechanosensitive channels, including Tmem63b and Piezo1. Thus, ventricular expansion provides a mechanical component of osmotic thirst, uncovering an osmo-mechanical layer of interoceptive regulation.

neuroscience↗

bioRxiv2026

Systematic Engineering of Intra-Articular Drug Release Profiles Reveals a Key Determinant of Disease-Modifying Efficacy in Post-Traumatic Osteoarthritis

Post-traumatic osteoarthritis (PTOA) is a progressive joint disease for which no disease-modifying osteoarthritis drugs (DMOADs) have been approved. Although injectable drug delivery systems can prolong therapeutic retention within the joint, it remains unclear whether local drug release kinetics influence disease-modifying efficacy. Here, we developed a modular platform of injectable supramolecular hydrogels using biocompatible, generally recognized as safe (GRAS) amphiphilic molecules and systematically engineered a range of degradation and drug release profiles. Using the cathepsin-K inhibitor L-006235 as a model DMOAD, we generated hydrogels with distinct release kinetics and evaluated their therapeutic performance in PTOA. Hydrogels exhibiting slower degradation and more sustained drug release like Sucrose Stearate (SS hydrogel) showed prolonged intra-articular retention and improved therapeutic outcomes. In a destabilization of the medial meniscus (DMM) mouse model, sustained-release formulations significantly reduced cartilage degeneration, preserved aggrecan expression, improved joint histopathology, and enabled effective monthly dosing. In contrast, formulations with faster degradation and release kinetics required more frequent administration to achieve comparable benefits. To our knowledge, this is the first study to establish local drug release kinetics as a critical determinant of disease-modifying efficacy in PTOA. This work provides one of the clearest demonstrations to date that engineering intra-articular release kinetics, rather than merely prolonging residence time, can improve disease-modifying outcomes. Our findings establish local release kinetics as a key design parameter for osteoarthritis therapeutics and highlight the potential of tunable supramolecular hydrogels for long-acting drug delivery.

bioengineering↗

bioRxiv2026

Spatiotemporal Cascade of AP1/CCA1-TOC1 Module Gates Stem Development

Stem development is crucial in plant vertical architecture and overall crop improvement. The molecular mechanisms underlying the initiation and circadian growth of stem remain still enigmatic. Here, we demonstrate that APETALA1 (AP1) spatially initiates circadian stem growth through a noncell-autonomous role of TIMING OF CAB EXPRESSION1 (TOC1) emanating from the floral meristem to inflorescence meristem in Arabidopsis thaliana. Mechanistically, AP1 interacts with and recruits CIRCADIAN CLOCK-ASSOCIATED1 (CCA1) to associate TOC1. Dynamic formation of the AP1-CCA1 complex is crucial for maintaining the circadian rhythmicity and expression of TOC1. Tissue-specific expression of TOC1 in floral meristems rescues the developmental defects of toc1 mutants at both functional and transcriptional levels. Furthermore, TOC1 directly activates the circadian expression of pectin methylesterase gene family, which is critical for its role in stem development. AP1 homologs regulate circadian stem elongation and plant height in wheat and rice, underscoring the conserved mechanism across flowering plants. Our findings uncovered a spatiotemporal regulatory cascade gating stem development and identified candidate genes for crop improvement.

plant biology↗

bioRxiv2026

Reduction in Hepatic Phosphatidylcholine Biosynthesis Promotes MASH Through Copper Deficiency

Metabolic dysfunction-associated steatohepatitis (MASH) is a progressive liver disease for which the mechanisms linking lipid dysregulation to fibrosis remain poorly defined. Hepatic phosphatidylcholine (PC) content is reduced in MASH, but how this alteration drives disease progression is unclear. Here, we identify a role for copper (Cu) homeostasis as a downstream effector of impaired PC biosynthesis. Using single-nucleus RNA sequencing in complementary genetic and dietary mouse models, we found that reduced hepatic PC is associated with marked depletion of hepatic Cu and a concomitant increase in circulating Cu, indicating disrupted Cu distribution. Mechanistically, PC depletion impaired plasma membrane localization of the high-affinity Cu transporter CTR1 (SLC31A1) in hepatocytes, limiting Cu uptake. In human hepatic stellate cells, Cu promoted fibrogenic activation, whereas suppression of Cu import or pharmacologic inhibition of MAPK signaling attenuated fibronectin deposition. In vivo, liver-directed Cu supplementation restored hepatic Cu levels and reduced steatosis but failed to improve fibrosis. In contrast, pharmacologic Cu chelation with bathocuproinedisulfonic acid (BCS) reduced fibrosis without affecting inflammation. Together, these findings identify Cu redistribution as a consequence of impaired PC biosynthesis and implicate Cu-dependent signaling in stellate cell activation, fibrogenesis and MASH pathogenesis. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=141 SRC="FIGDIR/small/723926v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@1c2bd52org.highwire.dtl.DTLVardef@1b8295org.highwire.dtl.DTLVardef@1a129dorg.highwire.dtl.DTLVardef@1bc2b87_HPS_FORMAT_FIGEXP M_FIG C_FIG

physiology↗

bioRxiv2026

A graph-based pangenome reveals the genetic basis of climate-resilient and horticultural traits in pear

Climate change poses an increasing threat to the cultivation of deciduous fruit trees, placing greater demands on modern pear breeding. Using pear germplasm adapted to diverse environments, we assembled 11 chromosome-level genomes. In combination with 13 publicly accessible pear genomes, we analyzed presence-absence variations (PAVs) and constructed a graph-based pangenome for pear. By performing a PAV-eQTL analysis of the fruit of 123 pear accessions, we identified PAVs significantly associated with expression levels of genes that may be involved in regulating agronomic traits. Population analysis of 268 pear accessions revealed two stop-gained variants in DAM1 of independent origin, which may function in advancing the blooming date and reducing the chilling requirement. We detected complex PAVs at the NOR1 locus, including two copy-number variations and one deletion. These PAVs contributed to the rapid diversification of the NOR1 locus and the fruit development period through regulating ARF5 and other ripening-related genes. We revealed the selection history of the NOR1 locus and developed novel pear individuals that accumulated alleles for low chilling requirement, early blooming date, and short fruit development period. The results provide valuable resources for pear genomics research and offer a guideline for breeding modern pears with climate resilience.

plant biology↗