Biology subjects

Yu, J.

Publications and source records attributed to Yu, J..

At least 163 records · Page 9Linked to original sources

bioRxiv2025

MouseGPT: A Large-scale Vision-Language Model for Mouse Behavior Analysis

Analyzing animal behavior is crucial in advancing neuroscience, yet quantifying and deciphering its intricate dynamics remains a significant challenge. Traditional machine vision approaches, despite their ability to detect spontaneous behaviors, fall short due to limited interpretability and reliance on manual labeling, which restricts the exploration of the full behavioral spectrum. Here, we introduce MouseGPT, a Vision-Language Model (VLM) that integrates visual cues with natural language to revolutionize mouse behavior analysis. Built upon our first-of-its-kind dataset--incorporating pose dynamics and open-vocabulary behavioral annotations across over 42 million frames of diverse psychiatric conditions--MouseGPT provides a novel, context-rich method for comprehensive behavior interpretation. Our holistic analysis framework enables detailed behavior profiling, clustering, and novel behavior discovery, offering deep insights without the need for labor-intensive manual annotation. Evaluations reveal that MouseGPT surpasses existing models in precision, adaptability, and descriptive richness, positioning it as a transformative tool for ethology and for unraveling complex behavioral dynamics in animal models.

animal behavior and cognition↗

bioRxiv2025

mcDETECT: Decoding 3D Spatial Synaptic Transcriptomes with Subcellular-Resolution Spatial Transcriptomics

Spatial transcriptomics (ST) is a powerful tool for studying the molecular basis of brain diseases. However, most current analyses focus only on nuclear or somatic expression, overlooking distally localized mRNAs, known as the "dark transcriptome." These transcripts, which make up nearly 40% of the brain transcriptome, are packaged into RNA granules and transported to polarized neuronal structures critical for neuronal function. Here, we present mcDETECT, a machine learning framework that leverages in situ ST (iST) data to detect RNA granules and resolve their RNA composition. Applying mcDETECT to simulated and real datasets from multiple iST platforms, we demonstrate robust granule detection and molecular subtyping. Granule-informed downstream analysis further revealed functionally distinct neuronal substates not captured by somatic expression alone. In an Alzheimers disease (AD) mouse model, mcDETECT uncovered alterations in RNA granule distributions and associated neuronal substates prior to measurable neuronal loss, highlighting potential therapeutic targets for early AD pathology.

bioinformatics↗

bioRxiv2025

Predicting Three-Dimensional Atomic-Level Structures of Biomolecular Complexes

OpenComplex1 is an open-source platform for comprehending and developing biomolecular models. Based on the architectures of AlphaFold2 and AlphaFold-Multimer, the current version of OpenComplex realizes end-to-end predictions of the biomolecular three-dimensional (3D) structures including protein, RNA, and protein-RNA complexes. OpenComplex makes it able to infer and train models of biomolecular complexes in a unified framework and supports encoders that use both MSAs and protein language models (pLM). Through extensive training on both structure and sequence databases such as the Protein Data Bank (PDB) and RNA families (Rfam) database, OpenComplex is able to generate models with equivalent or better accuracy for a wide range of biomolecules including monomers or multimers of protein and RNA as well as protein-RNA complexes. In summary, OpenComplex is a powerful tool for predicting accurate biomolecular structures in diverse application scenarios.

molecular biology↗

bioRxiv2025

Substrate recognition by human separase

The protein complex cohesin encircles the sister chromatids in early mitosis1. At anaphase onset, sister separation is triggered by cleavage of the cohesin subunit SCC1/RAD21 by the cysteine protease separase2-5. SCC1 contains two cleavage sites, where cleavage is stimulated by SCC1 phosphorylation5,6. The molecular mechanisms of substrate recognition and cleavage are only partly understood7. Here, we determined a series of cryoEM structures of human separase in apo-or substrate-bound forms that, together with biochemical analysis, provide novel insights into the regulation of separase cleavage activity. We verify the first SCC1 cleavage site and reassign the second site. We show that multiple substrates, including separase autocleavage sites8,9 and the two SCC1 cleavage sites, interact with several docking sites in separase, including four phosphate-binding sites. We also describe the structural basis of the interaction between the cohesin subunit SA1/A2 and separase, which promotes cleavage at the second site in SCC1. Finally, using cross-linking mass spectrometry and cryoEM, we propose a model of how cohesin is targeted by human separase. Our work provides an extensive functional and structural framework that explains one of the most fundamental events in cell division.

biochemistry↗

bioRxiv2025

High-resolution NMR spectroscopy of proteins in intact mitochondria

Understanding protein structure and function within mitochondria is essential for unraveling the molecular mechanisms underlying cellular energy production, stress response, and disease. Here, we present a novel approach for NMR observation of proteins within intact mitochondria by delivering proteins directly into isolated mitochondria via electroporation. Using this method, we investigate the interaction of -synuclein (-syn) with the mitochondria membrane and examine how post-translational modifications regulate this interaction. Additionally, we assessed the stability of GB1 and the dimerization of its variant within mitochondria, achieving quantitative insights into mitochondrial environmental impact on protein function. This approach offers a valuable framework for exploring mitochondrial related biomolecular events at atomic-resolution within intact mitochondria, paving the way for a more comprehensive understanding of the molecular events governing mitochondrial health and dysfunction.

biochemistry↗

bioRxiv2025

Resilience and vulnerabilities of tumor cells under purine shortage stress

Purine metabolism is a promising therapeutic target in cancer; however how cancer cells respond to purine shortage,particularly their adaptation and vulnerabilities, remains unclear. Using the recently developed purine shortage-inducing prodrug DRP-104 and genetic approaches, we investigated these responses in prostate, lung and glioma cancer models. We demonstrate that when de novo purine biosynthesis is compromised, cancer cells employ microtubules to assemble purinosomes, multi-protein complexes of de novo purine biosynthesis enzymes that enhance purine biosynthesis efficiency. While this process enables tumor cells to adapt to purine shortage stress, it also renders them more susceptible to the microtubule-stabilizing chemotherapeutic drug Docetaxel. Furthermore, we show that although cancer cells primarily rely on de novo purine biosynthesis, they also exploit Methylthioadenosine Phosphorylase (MTAP)-mediated purine salvage as a crucial alternative source of purine supply, especially under purine shortage stress. In support of this finding, combining DRP-104 with an MTAP inhibitor significantly enhances tumor suppression in prostate cancer (PCa) models in vivo. Finally, despite the resilience of the purine supply machinery, purine shortage-stressed tumor cells exhibit increased DNA damage and activation of the cGAS-STING pathway, which may contribute to impaired immunoevasion and provide a molecular basis of the previously observed DRP-104-induced anti-tumor immunity. Together, these findings reveal purinosome assembly and purine salvage as key mechanisms of cancer cell adaptation and resilience to purine shortage while identifying microtubules, MTAP, and immunoevasion deficits as therapeutic vulnerabilities.

cancer biology↗

bioRxiv2025

Nucleosome Engagement Regulates RORγt Structure and Dynamics

ROR{gamma}t is a key transcriptional regulator that supports protective pathogen clearance but also drives autoimmune disorders. Genetic studies have identified ROR{gamma}t mutations that selectively protect from autoimmunity without compromising host defense. Herein, we describe the molecular principles governing how ROR{gamma}t selectively drives these context-dependent gene programs. Structural studies revealed the selectivity-determining mutations lie in an -helix, the C-terminal extension (CTE), which nucleates when ROR{gamma}t engages partially occluded DNA response elements at nucleosome entry/exit sites. In ex vivo Th17 cells, the CTE is required for full genomic occupancy and expression of inflammatory effector genes, while residual DNA binding supports partial occupancy that, alongside context-dependent transcription factors, induces lineage-stabilizing gene expression. These findings support a model where ROR{gamma}t uses distinct chromatin binding modes to engage an expansive chromatin landscape to activate target gene programs, explaining the complex phenotypes of CTE mutant mice.

biophysics↗

bioRxiv2025

Characterization of the gut mycobiome in patients with non-alcoholic fatty liver disease and correlations with serum metabolome

BackgroundThe relationship between the gut mycobiome and non-alcoholic fatty liver disease (NAFLD) is largely unexplored. MethodsIn this study, we used a publicly available shotgun metagenomic sequencing dataset of fecal samples to compare the gut fungal communities of 90 NAFLD patients with those of 90 healthy controls. We examined their correlations with gut bacterial communities, host serum metabolite s, and the interactions of key taxa within these networks. ResultsOur results revealed a remarked dysbiosis in the gut mycobiome of NAFLD patients, cha racterized by a significant increase in four fungal taxa, including Pseudopithomyces sp. c174, Muc or sp. c176, Aspergillus sp. c25, and uncultured Ascochyta c213. Multi-omics analysis showed that the gut mycobiome significantly contributes to the host serum metabolome. Pseudopithomyces s p. c174 was notably associated with some beneficial blood metabolites, such as glycoursodeoxycholic acid and alpha-linolenic acid, whereas the NAFLD-enriched pro-inflammatory phenylacetic acid was linked to Aureobasidium sp. c170 and Basipetospora sp. c193. Network analysis revealed significant alterations in the gut microbiome of NAFLD patients, highlighting the potential roles of Alternaria alternata c42, Penicillium sp. c5, and uncultured Malassezia c303. Moreover, predictive models that integrated both bacterial and fungal taxa improved prediction accuracy, emphasizing the crucial role of gut fungi in NAFLD. ImportanceNon-alcoholic fatty liver disease (NAFLD) is a widespread liver condition with limited treatments. While gut bacteria have been extensively studied in NAFLD, the role of gut fungi (the mycobiome) remains poorly understood. This study fills that gap by characterizing gut fungal communities in NAFLD patients and linking these changes to their blood metabolite profiles. We found that NAFLD patients show distinct fungal imbalances, which correlate with key metabolic alterations in the host. These findings expand our understanding of NAFLD by spotlighting gut fungi as important contributors to disease progression. This insight opens new avenues for potential biomarkers and therapies targeting the gut-liver axis. ConclusionsOur findings provide a comprehensive understanding of the link between the gut mycobiome and NAFLD progression, which is essential for guiding future therapeutic research.

microbiology↗

bioRxiv2025

PRRSV evades innate immune cGAS-STING antiviral function via its Nsp5 to deter STING translocation and activation

Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) is an important pathogen that seriously endangers pig breeding, causing significant economic losses to the global swine industry. Our previous study found that the DNA sensing innate cGAS-STING signaling pathway plays an important role in inducing interferon (IFN) upon PRRSV infection and inhibition of PRRSV replication. However, the immune evasion and its mechanism by PRRSV is still unclear. In current study, we found that PRRSV Non-structural protein 5 (Nsp5) strongly inhibits the cGAS-STING-IFN antiviral response. Further, we found that Nsp5 interacts with STING, blocking STING transport from ER to Golgi apparatus and interfering with STING recruitment of TBK1/IKK{varepsilon}/IRF3. Finally, we demonstrated that the Nsp5 36-47 and 58-67 amino acid regions are critical regions for inhibiting STING activity and PRRSV replication. The study describes a novel mechanism by PRRSV for suppression of the host innate antiviral response and have implications for our understanding of PRRSV pathogenesis. Author summaryThe innate immune system is the first line of host defense against infections. PRRSV is an immunosuppressive pathogen that has developed different strategies to evade the host innate immune responses. Here, we demonstrate for the first time that PRRSV utilizes its non-structural protein Nsp5 to inhibit the innate immune cGAS-STING-IFN signaling pathway, promoting the viral replication. Nsp5 can inhibit the cGAS-STING pathway by interacting with STING, blocking STING transport from ER to Golgi apparatus and interfering with STING recruitment of TBK1/IKK{varepsilon}/IRF3. In particular, the 36-47 and 58-67 amino acid regions of the Nsp5 is indispensable. This information will help us understand PRRSV-host interactions and provides new insights into the prevention and control of PRRSV.

immunology↗

bioRxiv2025

Diammonium glycyrrhizinate injection promotes zebrafish angiogenesis through the mTOR/HIF-1 signaling pathway

(1) BackgroundGlycyrrhizic acid (GA) is the main component of the traditional Chinese medicine Glycyrrhiza glabra. Many GA preparations in the pharmaceutical market have good efficacy in hepatoprotection and the treatment of liver diseases. However, the pro-angiogenic effects for GA-based agents have not been researched specifically. The aim of this study was to investigate the pro-angiogenic activity of GA preparations commonly used in clinical practice and screen the representative angiogenesis promotor to further elucidate the mechanism of action (2) MethodsA zebrafish vascular injury model induced by PTK787 was used to assess the pro-angiogenic effect of GA preparations. The pro-angiogenic activity of diammonium glycyrrhizinate injection (DGI) was further systematically evaluated by detecting the growth of the intersegmental vessels (ISVs) and subintestinal vein vessels (SIVs) in zebrafish. The underlying mechanism of action for DGI was explored by transcriptomics analysis and RT-qPCR validation; (3) ResultsThe results showed that magnesium isoglycyrrhizinate injection (MII), DGI, compound glycyrrhizinate tablets (CGT), and diammonium glycyrrhizinate enteric-coated capsules (DGEC) could demonstrate significantly pro-angiogenic effects. Among them, DGI exhibited the strongest activity. Transcriptomic analysis showed that the pro-angiogenic activity of DGI was closely associated with the mTOR signaling pathway. RT-qPCR results indicated that the expression levels of key genes of the mTOR/HIF- pathway were significantly upregulated in DGI-treated zebrafish relative to the PTK787 group; (4) ConclusionsGA preparations have an obvious pro-angiogenic effect, in which DGI can exert particularly strong activity by activating the mTOR/HIF-1 signaling pathway. This study broadens the clinical application of GA agents and provides new insights into the pharmacodynamics and potential mechanisms of DGI as a candidate agent for treating ischemic diseases

pharmacology and toxicology↗

bioRxiv2025

Tahoe-100M: A Giga-Scale Single-Cell Perturbation Atlas for Context-Dependent Gene Function and Cellular Modeling

Building predictive models of the cell requires systematically mapping how perturbations reshape each cells state, function, and behavior. Here, we present Tahoe-100M, a giga-scale single-cell atlas of 100 million transcriptomic profiles measuring how each of 1,100 small-molecule perturbations impact cells across 50 cancer cell lines. Our high-throughput Mosaic platform, composed of a highly diverse and optimally balanced "cell village", reduces batch effects and enables parallel profiling of thousands of conditions at single-cell resolution at an unprecedented scale. As the largest single-cell dataset to date, Tahoe-100M enables artificial-intelligence (AI)-driven models to learn context-dependent functions, capturing fundamental principles of gene regulation and network dynamics. Although we leverage cancer models and pharmacological compounds to create this resource, Tahoe-100M is fundamentally designed as a broadly applicable perturbation atlas and supports deeper insights into cell biology across multiple tissues and contexts. By publicly releasing this atlas, we aim to accelerate the creation and development of robust AI frameworks for systems biology, ultimately improving our ability to predict and manipulate cellular behaviors across a wide range of applications.

genomics↗

bioRxiv2025

A Genetic Analysis of Lipid Metabolism Regulation in Han Chinese Youth in Xinjiang via Extreme Phenotypic Strategies

The Xinjiang Uyghur Autonomous Region of the Peoples Republic of China has been influenced by its natural ecological environment, historical evolution, and cultural customs since ancient times. The aim of this study was to investigate new genes that contribute to lipid metabolism regulation in Han Chinese youth in the Xinjiang region through sequencing analysis. Based on the threshold value of triglycerides (TG), we selected two groups of Han Chinese university students, namely, individuals with extremely low TG levels and individuals with normal TG levels, and conducted whole-exome sequencing on samples from these individuals. Ten genes (ACTN2, DHTKD1, NLRP9, PTPRA, INPP4B, PHGDH, PYROXD2, RIN1, MYRIP, and PRSS57) were selected via bioinformatics analysis of the sequencing results. Subsequently, we can conduct further validation at the cellular and animal levels to screen for emerging genes associated with lipid metabolism.

genetics↗

bioRxiv2025

Targeting Non-Catalytic Sites of SRC Sensitizes the Efficacy of SRC Kinase Inhibitors in Solid Tumors

The non-receptor tyrosine kinase SRC promotes the progression of hematologic malignancies and numerous solid tumors. Several SRC kinase inhibitors have been approved for the treatment of hematologic malignancies. However, drug resistance to sole ATP pocket-targeted kinase inhibition, coupled with low potency for solid tumors and insufficient selectivity, has limited the clinical application of SRC kinase inhibitors. The non-catalytic functions of kinases have provided crucial mechanisms underlying kinase inhibitor resistance, thereby presenting new opportunities for discovery SRC-targeted strategies. In this study, we discovered that upon abrogation of phosphorylation by SRC kinase inhibitors, non-catalytic SRC promotes the transcription of the oncogenes TRIB3 and SPC24 transcription by binding to their promoter sequence. Simultaneously, it interacts with TRIB3 and prevents their proteasome-mediated degradation by the E3 ligase CHIP, ultimately inducing resistance to SRC kinase inhibitors. The peptide TS1-2, blocking SRC/TRIB3 interaction in non-catalytic regions, inhibits the tumor progression of pancreatic ductal adenocarcinoma (PDAC), kidney renal clear cell carcinoma (KIRC), liver hepatocellular carcinoma (LIHC), and breast invasive carcinoma (BRCA), and enhances the efficacy of SRC kinase inhibitors in solid tumors. This study provides the insights of non-catalytic functions of SRC, validates the tumor-promoting function and mechanism of nuclear accumulation of SRC/TRIB3 following SRC kinase inhibitor treatment, identifies SRC/TRIB3 interaction as a potential non-catalytic target, and offers the candidate peptide TS1-2 as a potential combination strategy for overcoming SRC kinase inhibitor resistance. SignificanceThe scaffolding functions of SRC reduced the efficacy of SRC kinase inhibitors, and targeting SRC/TRIB3 non-catalytic functions synergizes the therapeutic effects of SRC kinase inhibitors in SRC-dependent solid tumors. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=177 SRC="FIGDIR/small/638389v2_ufig1.gif" ALT="Figure 1"> View larger version (55K): org.highwire.dtl.DTLVardef@17aa618org.highwire.dtl.DTLVardef@12e86eeorg.highwire.dtl.DTLVardef@19c8d82org.highwire.dtl.DTLVardef@10e6c46_HPS_FORMAT_FIGEXP M_FIG C_FIG SRC kinase inhibitors block myristoylation-dependent membrane location and catalytic phosphorylation of SRC. Phosphorylated SRC activates STAT1 and thereby represses TRIB3 transcription. Accumulated non-catalytic SRC promotes TRIB3, SPC24 transcription. Upregulated TIRB3 interacts with SRC to reduce CHIP-mediated ubiquitin-proteasomal degradation. The peptide TS1-2 disrupts TRIB3/SRC complex by targeting Non-kinase regions of SRC, consequently enhancing the therapeutic efficacy of SRC kinase inhibitors.

cancer biology↗

bioRxiv2025

All-trans retinoic acid and fluid transport in myopigenesis

Myopia, or near-sightedness, is rapidly growing in prevalence, with significant long-term implications for ocular health. There is thus great impetus to better understand molecular signaling pathways leading to myopia. We and others have reported that all-trans retinoic acid (atRA) is involved in myopigenic signaling, yet the understanding of how atRA is transported and exerts a myopigenic influence is poor. Here we measured the concentrations of atRA in the serum in wild-type C57BL/6 mice under control conditions and after atRA feeding, previously shown to induce myopia. We also developed a mathematical model that describes fluid fluxes and the advective-diffusive transport of atRA in choroid and sclera, including atRA synthesis in the choriocapillaris, atRA degradation by scleral cells, and binding of atRA to the carrier protein serum albumin. This model, developed for both mice and humans, showed that atRA produced in the choriocapillaris was able to permeate well into the sclera in both mice and humans at biologically-relevant concentrations, and that atRA feeding greatly increased tissue levels of atRA across both the choroid and sclera. We were also able to identify which parameters most influence atRA concentration in ocular tissues, guiding future experimental work. Our findings support atRAs role in myopigenic signaling.

bioengineering↗

bioRxiv2025

dandelionR: Single-cell immune repertoire trajectory analysis in R

Integration of single-cell RNA-sequencing (scRNA-seq) and adaptive immune receptor (AIR) sequencing (scVDJ-seq) is extremely powerful in studying lymphocyte development. A python-based package, Dandelion, introduced VDJ-feature space method, which addresses the challenge in integration of single-cell AIR data with gene expression data and enhanced the trajectory analysis results. However, no R-based equivalent or similar methods currently exist. To fill this gap, we present dandelionR, an R implementation of Dandelions trajectory analysis workflow, bringing the VDJ feature space construction and trajectory analysis using diffusion map and absorbing Markov chain to R, offering a new option for scRNA-seq and scVDJ-seq analysis to R language users.

bioinformatics↗

bioRxiv2025

Uridine Metabolism as a Targetable Metabolic Achilles' Heel for chemo-resistant B-ALL

Relapse continues to limit survival for patients with B-cell acute lymphoblastic leukemia (B-ALL). Previous studies have independently implicated activation of B-cell developmental signaling pathways and increased glucose consumption with chemo-resistance and relapse risk. Here, we connect these observations, demonstrating that B-ALL cells with active signaling, defined by high expression of phosphorylated ribosomal protein S6 ("pS6+ cells"), are metabolically unique and glucose dependent. Isotope tracing and metabolic flux analysis confirm that pS6+ cells are highly glycolytic and notably sensitive to glucose deprivation, relying on glucose for de novo nucleotide synthesis. Uridine, but not purine or pyrimidine, rescues pS6+ cells from glucose deprivation, highlighting uridine is essential for their survival. Active signaling in pS6+ cells drives uridine production through activating phosphorylation of carbamoyl phosphate synthetase (CAD), the enzyme catalyzing the initial steps of uridine synthesis. Inhibition of signaling abolishes glucose dependency and CAD phosphorylation in pS6+ cells. Primary pS6+ cells demonstrate high expression of uridine synthesis proteins, including dihydroorotate dehydrogenase (DHODH), the rate-limiting catalyst of de novo uridine synthesis. Gene expression demonstrates that increased expression of DHODH is associated with relapse and inferior event-free survival after chemotherapy. Further, the majority of B-ALL genomic subtypes demonstrate activity of DHODH. Inhibiting DHODH using BAY2402232 effectively kills pS6+ cells in vitro, with its IC50 correlated with the strength of pS6 signaling across 14 B-ALL cell lines and patient-derived xenografts (PDX). In vivo DHODH inhibition prolongs survival and decreases leukemia burden in pS6+ B-ALL cell line and PDX models. These findings link active signaling to uridine dependency in B-ALL cells and an associated risk of relapse. Targeting uridine synthesis through DHODH inhibition offers a promising therapeutic strategy for chemo-resistant B-ALL as a novel therapeutic approach for resistant disease.

cancer biology↗

bioRxiv2025

Super-omics and PCAS reveal rheumatoid arthritis as a tumor-like disease

Rheumatoid arthritis (RA) is a debilitating systemic autoimmune disorder that significantly impairs quality of life. To elucidate the molecular alterations in RA progression, we performed comprehensive super-omics analyses on synovial tissues from patients with joint trauma, arthritis, and RA. These analyses included transcriptomics, proteomics, metabolomics, microbiomics, and fourteen PTMs (phosphorylation, acetylation, lactylation, O-GlcNAc glycosylation, arginine monomethylation, lysine monomethylation, lysine dimethylation, lysine trimethylation, succinylation, malonylation, glutarylation, tyrosine nitration, N-glycosylation, and O-glycosylation). Additionally, we developed a protein-centered association study (PCAS) method to integrate these complex datasets. Using this approach, we identified key proteins, such as STK17B, and its interactors, which may be crucial in RA pathogenesis. Tumor-like features, including aberrant angiogenesis and epithelial-mesenchymal transition, were observed in RA, alongside the potential involvement of oncogenes and tumor suppressor genes. Finally, we constructed a molecular interaction blueprint of RA, providing a comprehensive framework for advancing RA pathogenesis, diagnosis, and therapy.

immunology↗

bioRxiv2025

Reusing wasted bioresources for crop protection: Calcinated oyster shell powder enhances rhizospheric microbial-mediated suppression of root-knot nematodes

The root-knot nematode (RKN) Meloidogyne incognita is one of the most destructive plant-parasitic nematodes (PPNs) affecting crop production worldwide. Our earlier study revealed that calcinated oyster shell powder (OSP) effectively suppressed tobacco RKN disease. However, the suppression mechanism of OSP against RKNs remain unknown. Our study revealed that calcinated OSP reduced the tobacco root-knot index by more than 38% by inhibiting the migration of second-stage juveniles of Meloidogyne incognita (J2) in the soil. Furthermore, OSP reduced the J2 density in the tobacco rhizosphere by 43.69% and significantly increased the soil pH by 0.68; moreover, OSP increased the contents of soil exchangeable calcium (ExchCa) and exchangeable magnesium (ExchMg) by more than 50%. Moreover, soil properties, including ExchMg, ExchCa and pH, enhanced the microbial-mediated suppression of J2. Specifically, Proteobacteria and Gemmatimonadota dominated the microbial community suppressing RKN, and fungal richness contributed to the suppression of RKNs; in addition, Chloroflexi and Acidobacteria dominated the microbial community promoting RKN prosperity. Our study revealed that the reuse of wasted oyster shell powder as an innovative antagonist is a promising avenue for ecofriendly RKN management strategies. IMPORTANCEThere is increased demand for ecofriendly RKN management strategies, and this study is the first to propose that the reuse of wasted oyster shell powder as an innovative antagonist against RKNs is effective, and calcinated oyster shell powder can reduce tobacco root-knot index and Meloidogyne incognita (J2) density by inhibiting the migration of J2s and enhancing the microbially mediated suppression of J2s in the tobacco rhizosphere. Moreover, several soil microbial and physicochemical indicators, including the contents of soil exchangeable calcium, exchangeable magnesium, pH and the relative abundance of Proteobacteria, Gemmatimonadota, Chloroflexi and Acidobacteria in plant rhizosphere were suggested to guide the development of ecofriendly PPN management strategies.

microbiology↗