Biology subjects

Guan, Y.

Publications and source records attributed to Guan, Y..

At least 19 recordsLinked to original sources

bioRxiv2026

A Cell-Autonomous Cold Sensor Promotes Lipolysis Through Phase Separation

Temperature is a fundamental determinant of mammalian metabolism. The canonical cold-adaptation pathway involves cold sensing by peripheral sensory neurons, which activate sympathetic outflow, {beta}-adrenergic signaling, and lipolysis in adipose tissue. In contrast, we report here a cell-intrinsic mechanism by which physiologically relevant cooling temperatures (27-31 oC) enhance lipolysis in subcutaneous adipose tissue. Mechanistically, cooling drives liquid-liquid phase separation (LLPS) of perilipin 1 (PLIN1), the dominant lipid droplet coat protein, promoting its condensation and the local recruitment of PKA to the droplet surface. This spatial reorganization selectively amplified PKA-mediated perilipin 1 phosphorylation, CGI-58 release, and ATGL-dependent lipolysis. The process depends on the intrinsically disordered region (IDR) of perilipin1, where four aromatic residues, conserved in endotherms but not in ectotherms, are required for cooling-induced LLPS and lipolysis in vivo. Notably, targeted delivery of an LLPS-competent perilipin 1 variant to the inguinal adipose tissue of mice enhanced local lipolysis and reduced depot mass. Together, these findings uncover a cell-intrinsic thermosensitive mechanism that can tune lipolytic responsiveness, offering a possible strategy for targeted depot-selective fat reduction.

cell biology↗

bioRxiv2026

METTL3-mediated m6A modification alleviates skeletal muscle atrophy in ALS by regulating ACSL1-dependent triglyceride metabolism

Skeletal muscle-intrinsic defects are increasingly recognized as critical contributors to the pathogenesis of amyotrophic lateral sclerosis (ALS), yet the underlying molecular mechanisms remain poorly understood. N6-methyladenosine (m6A) is the most abundant post-transcriptional RNA modification in mammalian mRNAs that plays important regulatory roles in diverse physiological and pathological processes, however its role in ALS-associated skeletal muscle atrophy remains unknown. Here we found that global m6A methylation and the expression of its methyltransferase METTL3 are reduced in the skeletal muscle of hSOD1G93A transgenic ALS mice. Multi-omics analyses reveal that m6A dysregulation is closely associated with impaired triglyceride metabolism. Functionally, METTL3 promotes triglyceride accumulation in ALS skeletal muscle in an m6A-dependent manner; overexpression of METTL3 in ALS myotubes improves energy supply and alleviates muscle atrophy by promoting triglyceride accumulation. In vivo overexpression of Mettl3 in skeletal muscle attenuates muscle atrophy, improves motor performance, and prolongs survival of ALS mice. Mechanistically, we identify the fatty acid activation enzyme ACSL1 as a key downstream effector of METTL3-mediated regulation of triglyceride metabolism. METTL3-mediated m6A modification promotes the expression of Acsl1 by enhancing its mRNA stability. Further investigation revealed that the regulatory effect of m6A on Acsl1 expression depends on the m6A reader protein IGF2BP2. Collectively, our findings establish m6A modification as a critical regulator of skeletal muscle atrophy in ALS by maintaining triglyceride metabolic homeostasis, highlighting a promising therapeutic target for ALS.

neuroscience↗

bioRxiv2026

Daytime Napping and Associative-Memory Retrieval Speed: An Exploratory Behavioral and EEG Study

Purpose: To test whether a daytime nap was associated with improved associative-recognition performance relative to monitored wakefulness and to determine where any response-time (RT) difference occurred in the RT distribution. Methods: Fifteen healthy students completed nap and wake sessions in a within-participant design. Each session included word-pair learning, immediate recognition, a 60-min interval, and delayed recognition without additional study. Trial-level log RT was the focal outcome; accuracy and electroencephalography (EEG) were complementary outcomes. Results: The RT Condition-by-Time interaction was significant (b = -0.063, 95% CI [-0.117, -0.009], p = .027). Responses were 6.7% faster after the nap (p = .010) but did not change after wakefulness (p = .704), with the difference concentrated among slower responses. Accuracy showed no condition-specific change (p = .401). Nap EEG showed aperiodic spectral slowing and stronger periodic sigma activity, but no EEG measure explained the RT effect. Conclusions: Daytime napping was associated with faster delayed associative recognition, primarily through attenuation of the slowest responses. The exploratory findings warrant larger confirmatory studies.

neuroscience↗

bioRxiv2026

Autonomic and neurotrophic signaling in alcohol-associated liver disease

Alcohol-associated liver disease (ALD) is a leading cause of liver-related morbidity and mortality, yet its pathogenesis remains incompletely understood. While neural regulation is critical for hepatic homeostasis, how autonomic and neurotrophic signaling is regulated in the liver during ALD progression remains largely unexplored. Here, we performed an integrative analysis of bulk and single-cell transcriptomic datasets of human livers across the spectrum of ALD. We identified stage-dependent remodeling and coordinated expression patterns of autonomic and neurotrophic genes. Autonomic signaling exhibited a consistent decline, with reduced expression of sympathetic (DBH, TH) and the parasympathetic (ChAT) markers. In contrast, pan-neuronal and neuroplasticity-associated genes (UCHL1, TUBB3, STMN2) were upregulated, indicating active neural remodeling. In parallel, factors such as MANF, GDNF, and NRG2, with the receptor NTRK1, were upregulated and positively correlated with clinical indicators of disease severity, inflammation and fibrosis. In contrast, trophic factors including NTF3 and CDNF, and receptors such as GFRA1 and GFRA3, were downregulated and inversely associated with these parameters. Single-cell analyses revealed that neurotrophic factors are predominantly expressed by hepatic stellate cells, supporting their role as resident neuroglia-like cells in the liver. In another independent cohort, we observed a coordinated downregulation of NTF3 and sympathetic nerve markers in alcohol-associated hepatitis (AH), suggesting impaired NTF3-mediated neurotrophic support may contribute to sympathetic dysfunction in AH. Collectively, these findings uncover previously unrecognized neuro-regulatory dimensions in ALD and suggest that dysregulated autonomic and neurotrophic signaling may contribute to disease progression. Conflict of interestThe authors have declared that no conflict of interest exists.

bioinformatics↗

bioRxiv2026

Generation and application of human pluripotent stem cells derived peri-nervoids

Autologous nerve grafts remain the gold standard for peripheral nerve repair, but donor scarcity, donor-site morbidity and incomplete functional recovery limit their use. Schwann cells (SCs) drive autograft-mediated regeneration, yet their limited availability and expansion impede SC-based therapies. Here, we generated human pluripotent stem cell-derived SCs, motor neuron-enriched spinal cord organoids and nociceptive sensory neuron-enriched dorsal root ganglion organoids, and assembled them into a nerve-like construct termed the Peri-nervoid. Single-cell RNA sequencing revealed context-dependent SC plasticity: axonal co-culture promoted myelination, whereas axonal transection induced a repair phenotype resembling SC dedifferentiation during Wallerian degeneration. Following transplantation into 7-mm sciatic nerve defects in NSG mice, human SCs survived and remyelinated regenerating host axons, while axon-containing grafts enhanced regeneration relative to SC-only grafts. No abnormal proliferation, systemic toxicity or major-organ histopathology was detected. These findings position the Peri-nervoid as a scalable, developmentally inspired platform for developing engineered grafts for peripheral nerve repair.

bioengineering↗

bioRxiv2026

Human antibody heavy chain variable region exon interacts with 3' regulatory region to form a stable somatic hypermutation center

Activation-induced cytidine deaminase (AID) initiates somatic hypermutation (SHM) of immunoglobulin heavy chain (HC) variable region exons in germinal center (GC) B cells, allowing selection of affinity-matured B cell receptors. The V(D)J exon location is privileged for SHM targeting of diverse sequences within it. In analogy to the related HC class switch recombination center, we proposed that cohesin-mediated loop extrusion juxtaposes widely separated enhancers, including 3 Igh regulatory region ("3RR"), with the V(D)J exon in GC B cells to establish a SHM-center (SHM-C) "privileged" for AID access. To test this hypothesis, we employed a human RAMOS GC B lymphoma cell SHM model with inducible AID expression in which we targeted an unmutated mouse HC V(D)J exon in place of its human counterpart. Activation of AID expression in this cycling RAMOS line for 10 days led to robust SHM accumulation in the mouse V(D)J exon with a pattern similar to that in mouse GC B cells. In this model, the mouse V(D)J exon was indeed juxtaposed to the two human 3RRs and other elements consistent with SHM-C formation. While deletion of individual 3RRs had little effect, deletion of both greatly reduced SHM, but left V(D)J exon transcription unabated. Moreover, the SHM-C and SHM accumulation remained intact over a 10-day period in viably G1-arrested and viably G1-arrested RAD21 (cohesin)-depleted versions of the model. We discuss implications for SHM-C structure and function, its long-term functional stability in the absence of the loop extrusion process proposed to assemble it, and for 3RR SHM functions beyond transcriptional activation. Significance StatementUpon encountering pathogens, B cells enter specialized lymphoid structures known as germinal centers (GCs). GC B cells express activation-induced cytidine deaminase (AID) that initiates somatic hypermutation (SHM) of the portion of antibody genes that encodes antigen recognition. B cells in which mutations increase antibody affinity for activating pathogen are selected to enhance antibody responses. We proposed SHM occurs in a chromosomal structure in the antibody gene locus termed a SHM-center (SHM-C). By studying SHM in a human B cell lymphoma model, we provide direct evidence for existence of a SHM-C assembled from different functional components normally separated by considerable distances. We also find that the SHM-C is surprisingly stable and continues to function for many days in non-dividing cells.

immunology↗

bioRxiv2026

Computationally mapping olfactory receptors to odor percepts using docking energy scores

Mapping the olfactory factors directly to perceived smells has broad implications for neuroscience, chemistry, and medicine. Since the discovery of olfactory genes in 1991, the completion of the olfactory code has been hindered by two obstacles: the unknown combinatorial principles by which [~]400 receptors collectively encode thousands of perceptually distinct odors, and the absence of a complete functional map from the olfactory receptors to conscious perception. We investigated this problem by using the binding energy scores of odorants with the olfactory receptors. We first showed that using only docking scores, we can predict the smell percepts with an accuracy similar to a full set of chemical fingerprints, combining the two resulted in even better performance. This supports there is a direct relationship between olfactory receptors and specific smells. Next, we turned on the olfactory receptors one by one by iterative training and simulation, and produced corresponding specific perception profiles for each olfactory receptor. The generated matrix is sparse, with only 1-2 smell types activated for each olfactory receptors. Despite the limitation of the size of the training data, it suggests the possibility of a low-dimensional combinatorial principle underlying thousands of smells that humans can perceive. We confirmed the prediction by a list of well-known olfactory receptors. We applied the model trained on single chemicals to mixtures, confirming competitive binding was the driving force for smell specificity. This strong performance, surprisingly, is established on the simplest modeling of the binding scores on hundreds of chemicals, and we believe the mapping can become more accurate if more complicated structural modeling techniques and more data are used.

bioinformatics↗

bioRxiv2026

Perinatal Semaglutide Treatment Improves Maternal Health and Mitigates Offspring Metabolic Dysfunction in a Mouse Model of Maternal Obesity

Early-life exposures during critical periods of development significantly impact lifelong metabolic risk and likely contribute to the rising rates of obesity, type 2 diabetes, and metabolic dysfunction-associated steatotic liver disease (MASLD) in children. Here, we evaluated the safety and metabolic effects of semaglutide, a GLP-1 receptor agonist (GLP-1 RA), administered from preconception through lactation in dams fed a high-fat diet (HFD) or standard diet, and assessed metabolic outcomes in dams and their offspring. Offspring were weaned to a standard diet. We found that semaglutide improved body composition and glucose metabolism in HFD-fed dams during pregnancy. These maternal changes persisted 10 weeks after weaning despite discontinuation of semaglutide treatment. HFD exposure impaired glucose homeostasis and promoted hepatic steatosis in offspring at 18 weeks. These effects were ameliorated by maternal semaglutide treatment. Importantly, metabolic improvements in dams and offspring occurred without adverse effects on conception rate or fetal viability. These findings suggest that GLP-1 RA during the perinatal period can improve maternal and offspring metabolic health in a mouse model of obesity and support further investigation of GLP-1-based therapies to mitigate maternal metabolic dysfunction and improve metabolic risk in children. ARTICLE HIGHLIGHTS* Rates of obesity, type 2 diabetes, and fatty liver disease are rising in children, in part due to maternal obesity and insulin resistance that program offspring metabolic risk during the perinatal period. * We asked whether the GLP-1 receptor agonist (GLP-1 RA), semaglutide, administered during critical developmental windows could prevent adverse outcomes in offspring using a diet-induced mouse model of maternal obesity. * Semaglutide, given to dams from preconception through lactation, improved maternal metabolism and ameliorated metabolic dysfunction in offspring caused by maternal high-fat diet. * These findings highlight a potential role for perinatal GLP-1 receptor agonism to improve maternal metabolic health and reduce metabolic risk in offspring.

physiology↗

bioRxiv2026

High-throughput, organ-scale 3D tubule tracking using TubuleMAP

Advances in tissue clearing and lightsheet microscopy enable mesoscale imaging of intact and convoluted tubular networks, yet analytical tools to map tubule continuity and assess injury patterns within and across tubules are limited. Here, we introduce TubuleMAP, a semi-automated pipeline for 3D tubule tracking and reconstruction that adapts to various morphological and staining patterns, leverages parallel processing of terabyte-scale data for large-scale analysis of tubular networks, and uses a napari interface for human oversight. Using TubuleMAP, we reconstruct 1,000 intact mouse nephrons in [~]1-millimeter-thick kidney slab with [~]400-fold higher throughput and <1% human effort compared to prior approaches. These reconstructions enable analysis of mesoscale nephron organization, quantitative profiling of pathologic morphologies, whole-nephron cytometry, and identification of rare morphologies at unprecedented scales. We demonstrate generalizability by reconstructing all seminiferous tubules in a mouse testis within a day. TubuleMAP is released as an open-source Python package.

bioengineering↗

bioRxiv2026

Dysregulated tissue-resident lymphocytes drive age-associated emphysema by impairing alveolar regeneration

Aging is often associated with progressive tissue degeneration and chronic inflammation, yet the role of immune cells in mediating structural and functional decline in organs remains poorly defined. Here, we investigated immune-tissue interactions in the aged lung and identified emphysematous remodeling characterized by alveolar loss. Notably, aged lungs exhibited a marked expansion of tissue-resident lymphocytes (TRLs) with senescent features, accompanied by a significant reduction in alveolar stem/progenitor cell (AT2) abundance. In vivo adoptive T cell transfer and 3D immune-stem cell organoid assays revealed that these expanded TRLs suppressed AT2 growth via secretion of oncostatin M and interferon gamma. In vivo blockade of IL-7 receptor (IL-7R) reduced TRL accumulation in the lungs and ameliorated age-related emphysematous changes, including restoration of alveolar density. Our findings identify TRLs as key drivers of alveolar degeneration in aging and propose IL-7R inhibition as a therapeutic strategy to mitigate pulmonary decline. TeaserBlocking IL-7R clears harmful lymphocytes and helps rebuild the damaged air sacs of the aging lung.

cell biology↗

bioRxiv2026

Bayesian rhythmic model for jointly detecting circadian biomarkers and predicting molecular circadian time in human post-mortem brain transcriptome

Transcriptomic circadian analysis of human post-mortem brain provides a unique opportunity to characterize in vivo molecular circadian rhythms across brain regions implicated in aging and psychiatric disorders. A primary goal in such analyses is the detection of circadian biomarkers. However, this task is complicated by the frequent mismatch between a subjects recorded circadian clock time and their true molecular circadian time -- arising from observational or recording errors, as well as intrinsic biological variability. Existing methods typically address either biomarker detection or circadian time prediction in isolation. Because errors in one task can degrade performance in the other, the lack of a unified approach remains a key limitation. We propose BayCT -- a Bayesian model for simultaneous circadian marker detection and molecular circadian time estimation. The model extends naturally to repeated measurements from multiple brain regions or organs. For circular data, we employ a von Mises prior distribution, with slice sampling and reversible-jump Markov chain Monte Carlo (MCMC) for Bayesian inference. Through extensive simulations and applications to transcriptomic data from three human brain regions and from 12 mouse organs, BayCT demonstrates superior performance in both biomarker detection and circadian time estimation. Furthermore, we highlight the advantages of integrating data across brain regions, achieving substantial improvements in both tasks.

bioinformatics↗

bioRxiv2025

GRASP: Gene-Relation Adaptive Soft Prompt for Universal Gene Network Inference

Gene networks (GNs) encode diverse molecular relationships and are central to interpreting cellular function and disease. The heterogeneity of interaction types has led to computational methods specialized for particular network contexts. Large language models (LLMs) offer a unified, language-based formulation of GN inference by leveraging biological knowledge from large-scale text corpora, yet their effectiveness remains sensitive to prompt design. Here, we introduce Gene-Relation Adaptive Soft Prompt (GRASP), a parameter-efficient and trainable framework that conditions inference on each gene pair through only three virtual tokens. Using factorized gene-specific and relation-aware components, GRASP learns to map each pairs biological context into compact soft prompts that combine pair-specific signals with shared interaction patterns. Across diverse GN inference tasks, GRASP consistently outperforms alternative prompting strategies. It also shows a stronger ability to recover unannotated interactions from synthetic negative sets, suggesting its capacity to identify biologically meaningful relationships beyond existing databases. Together, these results establish GRASP as a scalable and generalizable prompting framework for LLM-based GN inference.

bioinformatics↗

bioRxiv2025

Matrix stiffness induces endothelial network senescence

Identifying the drivers of cellular senescence that contribute to the decline in tissue function related to aging- and disease is critical for developing restorative interventions. Here, we investigated how increased mechanical stress from extracellular matrix (ECM) stiffening shapes endothelial cell (EC) senescence. We developed a 3D human in vitro model that decouples mechanical stress from inflammatory or biochemical inputs, enabling the study of senescence responses to tissue stiffening alone. We found that matrix stiffening induces an EC senescence phenotype with elevated p16/p21 and an immunomodulatory senescence-associated secretory phenotype (SASP), in the absence of inflammatory signals. This mechano-induced senescence state engaged a Notch-JNK-FOS signaling axis, and pharmacologic inhibition of Notch attenuated stiffness-induced senescence. Supporting the translational relevance of this mechanism, analysis of fibrotic capsule tissue from patients with synthetic breast implants, a model of localized, mechanically driven fibrosis, revealed increased p16+Notch1+ endothelial populations. Complementary single-cell RNA sequencing data confirmed their enrichment in Notch/JNK- and SASP-related gene programs. Together, these findings define vascular senescence as a mechanosensitive process and identify tissue stiffening as an upstream aging signal. Our work offers a human-relevant platform for studying targetable stages of endothelial mechanoaging.

bioengineering↗

bioRxiv2025

Ampk alpha2 T172 Activation Dictates Exercise Performance and Energy Transduction in Skeletal Muscle

AMPK (5'-AMP-activated protein kinase) is an energetic sensor for metabolic regulation and integration. Here, we employed CRISPR/Cas9 to generate non-activatable Ampk knock-in (KI) mice with mutation of threonine 172 phosphorylation site to alanine, circumventing the limitations of previous genetic interventions that disrupt the protein stoichiometry. KI mice of Ampk2, but not Ampk1, demonstrated phenotypic changes with increased fat-to-lean mass, impaired endurance exercise capacity, and diminished mitochondrial maximal respiration and conductance in skeletal muscle. Integrated temporal multi-omic analysis (proteomics/phosphoproteomics/metabolomics) in skeletal muscle at rest and during exercise establishes a pleiotropic yet imperative role of Ampk2 T172 activation for glycolytic and oxidative metabolism, mitochondrial respiration, and contractile function. Importantly, there is a significant overlap of skeletal muscle proteomic changes in Ampk2 T172A KI mice with that of type 2 diabetic patients. Our findings suggest that Ampk2 T172 activation is critical for exercise performance and energy transduction in skeletal muscle and may serve as a therapeutic target for type 2 diabetes.

molecular biology↗

bioRxiv2025

Resource: A Compendium of HLA-Type and Expression in Pediatric Cancer Models

Cancer immunotherapy has transformed cancer treatment by harnessing the immune systems natural ability to recognize and eliminate tumor cells, offering an effective and less toxic alternative particularly suitable for pediatric patients. Advances such as immune checkpoint inhibitors targeting PD-1 and CTLA-4, successful adoptive cell therapies like CAR T-cell treatments, and innovative cancer vaccines have notably improved outcomes across various cancer types. Central to immunotherapy is antigen presentation, where tumor-derived peptides loaded onto the Major Histocompatibility Complex molecules facilitate immune recognition. Precise HLA typing is crucial, especially in pediatric cancer research, where cell lines serve as essential preclinical models. The Childhood Cancer Model Atlas (CCMA) initiative provides comprehensive profiling, including HLA typing and neoantigen predictions for 287 cancer cell lines. This publicly accessible resource enables researchers to better understand immune-cancer interactions, advance personalized immunotherapies, and develop targeted, less toxic treatments specifically beneficial for children with cancer.

cancer biology↗

bioRxiv2025

Super-giga and tiny orchid genomes illuminate evolution of Orchidaceae

Orchidaceae (orchids) is commonly known as one of the largest families of seed plants, and grow in an extensive range of habitats worldwide. In the present study, we generated chromosome-level reference genomes for two orchids using a combination of PacBio, Illumina, and Hi-C sequencing, Cypripedium singchii has the largest genome and chromosomes among the sequenced species so far, with a genome size of 43.19 Gb (1C) with ten chromosomes, and Apostasia fujianica has the smallest known genome and chromosomes in Orchidaceae, with a genome size of 340.90 Mb (1C) with 35 chromosomes. We predicted a total of 32,412 and 21,724 protein-coding genes for C. singchii and A. fujianica, respectively. The overall BUSCO score was 85.01% for C. singchii and 91.80% in A. fujianica. Based on protein-coding sequences from 55 conserved single-copy families across 21 plant species, we constructed a high-confidence phylogenetic tree and estimated the divergence times. The high-quality genomes of super-giga and tiny orchids offer key insight for future evolutionary researches.

genomics↗

bioRxiv2025

A lipid metabolism defect is an underlying contributor to Diamond Blackfan anemia syndrome

Analysis of neither Diamond Blackfan anemia syndrome (DBAS) cohorts nor animal models has revealed a potential mechanism for the variable anemia phenotype, a key feature of this disease. Here, we utilized an established Rpl5Skax23-Jus/+ murine DBAS model in order to study this dynamic erythropoiesis deficiency. These haploinsufficient mice exhibit variably penetrant craniofacial and cardiac defects mimicking the phenotypes of DBAS patients bearing RPL5 mutations. We additionally discovered that this specific heterozygous splicing mutation is pathogenic and leads to partial intron retention. By examining the transcriptome of fetal liver erythroid progenitors at E12.5, we demonstrate that the downregulation of erythroid differentiation pathways is consistent with the DBAS phenotype. We also identified dysregulated transcription of lipid metabolism genes with significant reduction in the abundance of Scd1 in a subset of E12.5 mutant embryos at risk for erythroid failure. SCD1, a key enzyme that converts saturated to monounsaturated fatty acids, has not been previously linked to erythropoiesis or DBAS. When anemia was induced in adult mice, pretreatment with an SCD1 inhibitor resulted in improved erythropoiesis. This analysis suggests a key role of lipid metabolism in the variable anemia penetrance in DBAS and highlights a previously unappreciated pathway that may serve as a potential target for drug development. Key PointsO_LIThe variable anemia in Rpl5Skax23-Jus/+mice is triggered by intrinsic/extrinsic stress C_LIO_LIRpl5 haploinsufficient murine and human erythroid progenitors exhibit a lipid metabolism signature with downregulation of Scd1/SCD. C_LI

developmental biology↗

bioRxiv2025

Inulin reduces Ralstonia invasion by promoting cooperation between Lysinibacillus sphaericus and Pseudoarthrobacter spp.

In field production, beneficial microbial agents are typically applied along with key resources that beneficial microbes prefer to utilize. This practice aims to help the beneficial microbes colonize the field and exert their disease resistance functions. However, the mechanisms by which these key resources influence the colonization and disease resistance effects of beneficial microbes remain unknown. In this study, we found that inulin can enhance the growth capacity of Lysinibacillus sphaericus HR92 and its ability to inhibit Ralstonia solanacearum. Further investigation revealed that inulin can enhance strain HR92s flagellar assembly, bacterial chemotaxis, fatty acid metabolism, and siderophore synthesis capabilities, ultimately improving strain HR92s effectiveness in controlling bacterial wilt. Moreover, adding inulin to the soil can enrich Pseudarthrobacter strains. This genus enhances the expression of genes involved in the synthesis of the antibacterial substance HR92, and competes for nutrients with Ralstonia solanacearum, thereby further inhibiting the occurrence of bacterial wilt disease. Additionally, the combination of inulin and Pseudarthrobacter strains upregulates the valine and leucine pathway genes in strain HR92. These genes play a crucial role in the synthesis of surfactin and the antimicrobial VOC 3-methyl-1-butanol. We have demonstrated that the addition of key resources not only enhances the control efficacy of beneficial bacteria against soil-borne diseases but also enriches the "helpers" of beneficial bacteria in soil. ImportanceRalstonia solanacearum is a plant pathogen that can cause bacterial wilt in several important crops. Given the limitations of beneficial bacterial inoculation, we propose a strategy to enhance the biocontrol efficacy of beneficial microorganisms by utilizing key resources. In this study, we demonstrate that key resources inulin can improve the biological control effects of beneficial bacteria, thereby maintaining plant health. Furthermore, we found that increasing the concentration of inulin altered the diversity of the rhizosphere microbiota and specifically enriched the abundance of Pseudarthrobacter, which compete with pathogens for nutrients on one hand and, on the other hand, synergize with inulin to enhance the biocontrol efficacy of the beneficial bacterium HR92. Together, our study reveals that key resources can enhance the biocontrol efficacy of beneficial bacteria and enrich potential beneficial bacteria in resident microbial communities, further reducing tomato diseases.

microbiology↗