Biology subjects

Hu, S.

Publications and source records attributed to Hu, S..

At least 37 records · Page 2Linked to original sources

bioRxiv2026

Potent and Selective IL-4 Inhibitors with Anti-Tumor Activity

Interleukin-4 (IL-4) is an important immunoregulatory cytokine involved in T-cell maturation, B-cell activation, and macrophage polarization. Dysregulated IL-4 signaling contributes to several immune-mediated diseases such as cancer, allergic inflammation, and autoimmunity. The clinical use and indication expansion of the anti-IL-4R antibody dupilumab has made IL-4 signaling an attractive target for therapeutic modulation. We previously discovered a first-in-class small molecule inhibitor to the soluble cytokine IL-4, which we named Nico-52, that inhibits the soluble IL-4 cytokine with single-digit micromolar potency. Here, we determined structure-activity relationships around the Nico-52 scaffold that impact potency and selectivity and evaluated the in vivo anti-tumor potential of small molecule IL-4 inhibition. Improved analogs featured structural changes to the p-fluorophenyl group ranging from submicromolar to double-digit nanomolar potency. Our two most potent analogs showed selective binding to IL-4 over other related cytokines in thermal shift assays and more potent inhibition of IL-4 over IL-13 in a HEK Blue IL-4/IL-13 reporter assay. We further established that our lead analogs inhibit both type I and type II IL-4 receptor signaling. Nico-52 and an optimized lead analog exhibited favorable in vitro ADME/T properties, such as high stability and low cytotoxicity. Furthermore, Nico-52 and a lead analog were investigated for their tumor suppressive effects in syngeneic murine tumor models, where small-molecule IL-4 inhibition yielded significant tumor inhibition, shifted macrophage polarization, and our optimized lead analog improved animal survival. These studies show the promise of small-molecule cytokine inhibitors for IL-4 mediated processes of disease.

cancer biology↗

bioRxiv2026

Co-repression of Yap1 and Sox9 Abrogates Established Cholangiocarcinoma by Eliminating Transcriptional Compensation

Background/AimsIntrahepatic cholangiocarcinoma (iCCA) represents an unmet clinical need due to its increasing incidence, aggressive biology, and limited treatment options. The extremely low-response rates to current systemic regimens and the emergence of adaptive resistance to targeted therapies underscore the urgent need for alternative therapeutic strategies. Given that the lineage-defining transcription factors SOX9 and YAP1 are central regulators of cholangiocyte and iCCA identity, we investigated their functional roles as potential therapeutic vulnerabilities across multiple preclinical models. MethodsPatient tissue-microarray (TMA) analysis, Sleeping-Beauty hydrodynamic tail vein injection-based iCCA models, and Cre-mediated inducible gene deletion systems were used to investigate the roles of Sox9 and Yap1. Deep-learning-based prediction, RNA-seq, ChIP-seq and immunohistochemistry analyses were performed to delineate transcriptional networks and downstream effectors associated with SOX9/YAP1 signaling. ResultsDual deletion of Sox9 and Yap1 effectively eradicated advanced iCCA while preserving intrahepatic bile ducts, regardless of oncogenic drivers. Mechanistically, SOX9 and YAP1 transcriptionally compensated for each other when one was absent, and ILF2, MGAT5, and WWTR1 were identified as key downstream effectors mediating this compensatory mechanism. Loss of Ilf2, Mgat5, or Taz suppressed iCCA, whereas overexpression of Ilf2 or Taz following Sox9/Yap1 co-deletion restored tumor development, indicating that ILF2 or TAZ can functionally substitute for YAP1 and SOX9 in sustaining iCCA. ConclusionsCo-targeting SOX9 and YAP1 offers a promising and safe broad-spectrum preventive/therapeutic approach for iCCA, potentially overcoming resistance to YAP1 inhibition. The adaptive resistance mechanism identified may extend to other malignancies, providing insights for addressing the advanced resistant to YAP1-TEAD-directed therapies.

cancer biology↗

bioRxiv2026

Proteolytic processing of Argonautes in multiphase condensates promotes transgenerational epigenetic inheritance

Epigenetic information can be memorized in perinuclear condenates to transmit across generations to modulate gene expression in descenent. Here, we identify a conserved N terminal proteolytic mechanism in Caenorhabditis elegans that is essential for small RNA-mediated transgenerational epigenetic inheritance (TEI) and for maintaining germline immortality. Two conserved, perinuclear germ granule subcompartments-enriched N-terminal processing peptidases, APP-1 and DPF-3, act cooperatively to trim N-terminal intrinsically disordered regions of the Argonaute proteins WAGO-1, WAGO-3, and WAGO-4. This processing shields these Argonautes from proteasome-mediated protein degradation, prevents the loss of their associated small RNAs, and promotes their accumulation in germ granules subcompartments. In contrast, unprocessed WAGOs are recognized and destabilized by the conserved E3 ubiquitin ligases RNF-1 and UBR-7. We propose that this cooperative proteolytic mechanism adds another layer of sspatiotemporal regulation over small RNA-directed epigenetic inheritance and may represents a broadly conserved strategy for regulating protein homeostasis and gene expression programs.

cell biology↗

bioRxiv2025

Dose-dependent NFI regulation of progenitor lifespan and output underlying human neocortical malformation

Nuclear Factor I (NFI) misexpressions in humans are associated with severe brain malformations, yet the underlying mechanisms remain poorly understood. Here we show that NFIs regulate the broad lineage progression and lifespan of radial glial progenitors (RGPs), and consequently neocortical development in a dose-dependent manner. Human cerebral organoids carrying patient-mimicking NFI mutations exhibit expression level-dependent bidirectional impairments in RGP temporal development, coinciding with patient phenotypes. In mouse models, selective removal of NFIs leads to a dramatic protraction of RGP lineage progression and lifespan, excessive progeny output, and neocortical overgrowth and abnormal folding, whereas overexpression of NFIs accelerates RGP lineage progression, resulting in developmental stage-dependent precocious productions of diverse neural progenies. Moreover, NFIs exhibit a positive auto-regulation and progressive increase in expression, and regulate distinct temporal-specific targets underlying RGP lineage progression. These results suggest that NFIs act as evolutionarily conserved key global temporal regulators of RGP lineage progression and neocortical development. HIGHLIGHTSO_LINFIs affect human RGP temporal development coinciding with patient phenotypes. C_LIO_LINFI removal protracts RGP lineage progression and lifespan with excessive progeny output. C_LIO_LINFI overexpression accelerates RGP lineage progression with precocious progeny output. C_LIO_LINFIs regulate distinct temporal-specific targets underlying RGP lineage progression. C_LI

neuroscience↗

bioRxiv2025

Spatial Navigation Training Enhances Large-Scale and Small-Scale Spatial Abilities through Different Neural Mechanisms

Elucidating the relationship between large-scale and small-scale spatial abilities is fundamental to advancing our understanding of spatial cognition, with training transfer effects across tasks offering a direct means of exploration. This study investigated how large-scale spatial navigation training influences both large- and small-scale spatial abilities and their underlying neural mechanisms. Participants completed 20 days of real-world campus navigation training and performed large-scale (distance judgment) and small-scale (paper folding) spatial tasks before and after training. The training group showed significant improvements in both tasks, whereas the control group did not. Brain imaging revealed increased activation in the right middle frontal gyrus (MFG) and bilateral posterior cingulate cortex (PCC) during large-scale task performance after training. In contrast, improvements in the small-scale task were associated with reduced deactivation in the right postcentral gyrus (PoCG), right precuneus, and left superior temporal gyrus (STG). Overall, these findings indicate that large-scale navigation training enhances spatial ability across scales through distinct neural mechanisms, supporting the partial dissociation model and highlighting the contribution of negatively activated regions to spatial processing.

neuroscience↗

bioRxiv2025

Temporal single-cell profiling uncovers age-associated delays in immune resolution to respiratory viral infection

Aging is a major risk factor for increased morbidity and mortality following acute respiratory virus infections. To elucidate the immune determinants underlying viral pathogenesis and delayed lung repair in the aged lung, a comprehensive time-course study was conducted. Single-cell RNA sequencing (scRNAseq) and high-dimensional flow cytometry were utilized to compare lungs from young and aged mice infected with influenza A virus (IAV). Aged hosts displayed diminished alveolar macrophage (AM) and dendritic cell (DC) but elevated monocyte-derived macrophage (MoM) and interstitial macrophage (IM) presence following infection. Additionally, enhanced accumulation of adaptive immune cells, including CD4+ tissue-resident helper (TRH) cells, CD8+ tissue-resident memory (TRM) cells, and a B cell subset resembling age-associated B cells, was observed in the memory phase. Pathway analysis revealed that elevated type I and II interferon (IFN/{gamma}) signaling, especially in MoM/IM subsets, distinguished the aged hosts from the young. Inhibition of IFN/{gamma} signaling after viral clearance improved long-term respiratory outcomes and reduced both IM and TRH populations in aged mice. These findings highlight the pivotal role of IFN/{gamma} signaling, likely within MoM/IM subsets, in driving the exuberant persistence of adaptive immune cells and chronic immunopathology in the aged lung following acute viral infection.

immunology↗

bioRxiv2025

Comparative evaluation of reference genomes and cell-type annotation frameworks for single-nucleus transcriptomic analysis in apple

Single-nucleus RNA sequencing (snRNA-seq) provides a powerful tool to profile cell-type-specific transcriptional programs in woody fruit trees. Yet its application in Malus domestica has been limited by heterogeneous reference genomes and the lack of validated marker genes. Here, we first established a comprehensive set of marker genes corresponding to 29 plant cell types and identified their orthologs in apple. Using these resources, we systematically evaluated six publicly available apple genome assemblies as references for snRNA-seq analysis. Our results demonstrate that reference genome selection has a major impact on mapping performance and downstream cell type annotation, with the GDDH13 assembly consistently producing the highest transcript counts per nucleus and the greatest number of identifiable transcriptional clusters (15 clusters representing 11 distinct cell types across 35,557 high-quality nuclei). To achieve robust cell type annotation, we integrated classical marker gene-based annotation with two cross-species computational frameworks -- Orthologous Marker Gene Groups (OMGs) and XSpeciesSpanner. These three approaches enabled confident identification of 11 major cell types in apple seedlings and provided cross-validation for ambiguous or previously unannotated clusters. Pseudotime analysis reconstructed the developmental trajectories of both procambial and stomatal lineages, revealing their progressive transcriptional transitions and enabling the delineation of key molecular programs underlying vascular differentiation and early guard-cell formation. Together, this work provides a reference-quality single-nucleus transcriptomic atlas for apple and underlined the critical impact of genome choice and multi-method cell-type annotation on single-cell studies in non-model crops.

bioinformatics↗

bioRxiv2025

Yuanyang allele pairs enable engineered obligate co-inheritance for population replacement and suppression

Mendels law of segregation, which dictates independent assortment of alleles, is a cornerstone of genetics. Here, we present the Yuanyang allele pair (YYAP), an engineered underdominance gene drive system that enforces obligate co-dependency between homologous alleles via synthetic toxin-antitoxin circuits. This design produces a striking deviation from classical Mendelian segregation: YYAP alleles cannot segregate independently, reshaping inheritance outcomes without altering the physical mechanics of meiosis. In Drosophila melanogaster, optimized YYAP strain K711 exhibits >99% hemizygous lethality when crossed with wild type, while maintaining stable transmission and high fitness in transheterozygotes. Cage experiments demonstrate efficient population replacement, positioning YYAP as a confined, resistance-proof alternative to CRISPR homing gene drives. Release of only males represents a self-limiting suppression strategy that was also successful in cage experiments. By imposing a near-complete postzygotic incompatibility, YYAP establishes a programmable framework that not only supports pest management, but also enables modeling of reproductive isolation and allelic co-dependency, thereby creating opportunities to explore speciation and broader synthetic inheritance systems in ecology and evolution.

molecular biology↗

bioRxiv2025

Cross-task, explainable, and real-time decoding of human emotion states by integrating grey and white matter intracranial neural activity

Decoding human emotion states from intracranial neural activity is key in developing brain-computer interfaces and new therapies for affective disorders. However, real-world application of decoding requires high performance that integrates neural activity from both grey and white matter, stable generalization across different contexts, sufficient neural encoding explainability, and robust real-time implementation, all of which remain elusive. Here, we simultaneously recorded intracranial electroencephalogram (iEEG) and abundant self-rated valence and arousal scores across two emotion-eliciting tasks in eighteen subjects, forming the largest intracranial neural dataset for emotion decoding. We then developed personalized decoding models within a hybrid deep learning framework involving both self-supervised and supervised components. The models achieved high-performance decoding of continuous valence/arousal states, doubling the R-squared performance of prior EEG/iEEG decoding. Critically, the models significantly improved performance by integrating grey and white matter signals and demonstrated cross-task generalization. The models further revealed shared and preferred mesolimbic-thalamo-cortical subnetworks encoding valence and arousal, showing neurophysiological explainability. Finally, the models realized robust real-time decoding in four new subjects. Our results have implications for advancing emotion decoding neurotechnology toward deployable affective brain-computer interfaces and closed-loop therapeutic systems for affective disorders.

neuroscience↗

bioRxiv2025

Systems analysis uncovers early temozolomide responses and peptide antigens in glioblastoma

Temozolomide (TMZ) is the standard treatment for nearly all glioblastoma (GBM) patients, as it is the only chemotherapy shown to extend overall survival. However, this benefit is limited to a few months, underscoring the need for combination strategies to improve its efficacy. While TMZ-induced DNA damage can both mediate cytotoxicity and promote resistance, DNA damage more broadly can also stimulate immune activation. To evaluate its immunomodulatory potential, we characterized the previously unexplored early, cell-intrinsic consequences of TMZ in GBM cells, spanning DNA damage, stress responses, and antigen presentation. A multi-omics approach combining RNA sequencing and quantitative liquid chromatography-tandem mass spectrometry (LC-MS/MS) profiled changes in gene expression, nascent protein translation, steady-state protein levels, kinase-substrate phosphorylation patterns, and MHC-I peptide presentation in GBM cells within 72 hours of TMZ exposure. This analysis revealed rapid activation of DNA damage signaling and p53-associated stress pathways, alongside dynamic changes in protein synthesis and antigen presentation. A set of TMZ treatment-associated peptide antigens (TAPAs) was identified, including peptides derived from stress response proteins, phosphorylated MHC-I peptides, and those induced by other genotoxic treatments such as radiation. Several of these peptides were also detected in recurrent GBM patient tumors. Our findings suggest that TMZ not only triggers early adaptive and potentially resistance-associated stress programs but may also enhance the immune visibility of GBM cells. These data highlight potential windows for combination therapies with TMZ that bolster immune recognition of GBM, while the systems approach provides a framework to examine how genotoxic therapies across cancers alter tumor immunogenicity.

cancer biology↗

bioRxiv2025

Dissociable neural substrates of integration and segregation in exogenous attention

Impact StatementThis study offers the first direct neuroimaging evidence for the integration-segregation theory of exogenous attention by identifying dissociable neural signatures of the competing integration and segregation processes, strengthening the understanding of attentional orienting mechanisms. The integration-segregation theory proposes that early facilitation and later inhibition (i.e., inhibition of return, IOR) in exogenous attention arise from the competition between cue-target event integration and segregation. Although widely supported behaviorally, the theory lacked direct neural evidence. Here, we used event-related fMRI with an optimized cue-target paradigm to test this account. Cued targets elicited stronger activation in the frontoparietal attention networks, including the bilateral frontal eye field (FEF) and intraparietal sulcus (IPS), right temporoparietal junction (TPJ), and left dorsal anterior cingulate cortex (dACC), consistent with the notion of attentional demand of reactivating the cue-initiated representations for integration. In contrast, uncued targets engaged the medial temporal cortex, particularly the bilateral parahippocampal gyrus (PHG) and superior temporal gyrus (STG), reflecting the segregation processes associated with new object-file creation and novelty encoding. These dissociable activations provide the first direct neuroimaging evidence for the integration-segregation theory. Moreover, we observed neural interactions between IOR and cognitive conflict, suggesting a potential modulation of conflict processing by attentional orienting. Taken together, these findings provide new insights into exogenous attention by clarifying the neural underpinnings of integration and segregation and uncovering the interaction between spatial orienting and conflict processing.

neuroscience↗

bioRxiv2025

ADAR1p150 RNA binding, independent of A-to-I RNA editing, buffers immunogenicity from the tonic type I IFN induced transcriptome in vivo.

ADAR1 edits adenosine to inosine (A-to-I) in double-stranded RNA to prevent MDA5 sensing of cellular transcripts, its key physiological role. However, editing-independent functions of ADAR1 remain poorly understood. Using a series of Adar1 mutant mice rescued by loss of MDA5 and PKR, we investigated isoform-specific, editing-independent roles of ADAR1 in vivo. We found that the cytoplasmic ADAR1p150 isoform is essential for maintaining peripheral T cell numbers and differentiation of hematopoietic stem and progenitor cells (HSPCs). In bone marrow transplants, ADAR1p150 protein, but not its editing activity, was crucial for T cell regeneration and HSPC repopulation, demonstrating a cell-intrinsic function in hematopoiesis. Experiments with IFN{beta}-treatment of purified HSPCs in vitro and in vivo IFNAR1 neutralization revealed hypersensitivity to tonic type I interferon (IFN) in the absence of ADAR1p150. Using cell lines, we demonstrate that type I IFN activates the OAS-RNaseL pathway, leading to cell death. This study shows that tonic type I IFN induces immunogenic cellular RNAs in sterile conditions. ADAR1p150 suppresses immune sensing of self-dsRNAs through both editing-dependent (MDA5) and editing-independent (PKR, OAS-RNaseL) mechanisms. Thus, ADAR1p150 protein levels and activity combine to set the threshold for tolerance to self-derived dsRNAs.

immunology↗

bioRxiv2025

LipiGo: A Versatile DNA-Lipid Nanoparticle Hybrid for Precision Drug Delivery

Lipid nanoparticles (LNPs) are established carriers for nucleic acid delivery, however, achieving efficient delivery to non-hepatic tissues remains a major challenge. Here, we present LipiGo, a nanocarrier platform engineered by integrating short single stranded DNA molecules into the lipid nanoparticle structure. Using whole body tissue clearing, advanced imaging and AI-based analysis, we show that LipiGo redirects functional mRNA delivery to lymphoid organs, particularly the spleen. Immune cell profiling further reveals enhanced uptake within key immune populations, including antigen-presenting cells, compared to standard LNPs. Beyond passive redistribution, LipiGo leverages DNA hybridization to enable modular attachment of targeting ligands for active targeting as demonstrated by cell-specific delivery to white adipocytes. Overall, the dual-purpose design principle of LipiGo demonstrates high modularity and efficiency, enabling tissue and cell specific delivery beyond hepatic applications. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=100 SRC="FIGDIR/small/676334v2_ufig1.gif" ALT="Figure 1"> View larger version (45K): org.highwire.dtl.DTLVardef@9b69eorg.highwire.dtl.DTLVardef@1b45bd0org.highwire.dtl.DTLVardef@1f7b79dorg.highwire.dtl.DTLVardef@37a673_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioengineering↗

bioRxiv2025

Real-time visualization of ligand-specific conformational dynamics of GPCR C-terminal domain in living cells

The cytoplasmic tails (C-tails) of membrane receptors are fundamental hubs for signal transductions. Yet directly investigating their dynamics in living cells is challenging. We developed a single-molecule technique to sense C-tail's conformational transitions. It was applied to investigate the ligand-induced activation of {beta}2AR, a prototypical G protein-coupled receptor (GPCR). Our data elucidate how the receptor transduces ligand binding to cell-level outcomes, with the ligand efficacy being interpreted in terms of the association and disassociation rates of the G protein. Moreover, upon G protein binding, not only the C-tail is displaced from the intracellular surface of the receptor but also the eighth helix H8 is dissociated from the plasma membrane. This work establishes a robust framework to directly decipher the activation of membrane receptors without interferences from overexpressed downstream transducers.

biophysics↗

bioRxiv2025

Curcumin activates distinct programming of redox metabolism towards differential regulation of gene expression mediated by Nrf1 and Nrf2

AbstractionCurcumin (CUR), a naturally occurring phenolic small molecule, has been extensively applied in the treatment of diverse diseases for over half a century. Currently, this chemical has also been verified to exhibit a wide array of its biopharmacological activities, such as enhancing immunity, possessing antiviral, anti-cardiovascular, and anti-cancer properties. Besides, also as a nutritional supplement, CUR enables inflammatory prevention and enhance the combined efficacy of it with chemotherapy. Such characteristic of safeguarding normal organisms while treating or alleviating diseases is manifested as a common bidirectional regulation and its hormetin effect of phenolic compounds, particularly in response to stress. In this redox process, two antioxidant transcription factors Nrf1 and Nrf2 (encoded by Nfe2l1 and Nfe2l2, respectively) play distinct and crucial roles. Thereby, we investigated their expression profiles of genes regulated by Nrf1 and Nrf2 in different signaling responses modulated by CUR. The resulting evidence has been provided, demonstrating that distinctive cellular metabolisms, molecular pathways, and signaling mechanisms account for Nrf1 and Nrf2, as drug targets. Both factors also play diverse roles in the anticancer effects of CUR on HepG2 cells and xenograft mice. However, the effect of CUR on xenograft tumors in vivo is not entirely satisfactory, although such anti-cancer effect was achieved by promoting Nrf1 expression, it appeared more reliant on Nrf2 (particularly in the absence of Nrf1). As such, we unexpectedly discovered there is not a simple regulatory relationship between CUR and Nrf2. This is supported by substantial inhibition of Nrf2 by CUR in the aberrantly proliferating Nrf1-/- cells, even albeit this chemical stimulates the expression of Nrf1 and Nrf2 in wild-type cells.

cancer biology↗

bioRxiv2025

Multi-Tissue Profiling Reveals tissue-specific protein regulation and relationships Between Protein Quantitative Trait Loci (pQTLs) and Cardiometabolic Disease

Integrating genetic data with protein levels, known as protein quantitative trait loci (pQTLs), can enhance our understanding of disease mechanisms and provide actionable insights for drug discovery, by guiding the direction of therapeutic interventions, clarifying mechanisms of action, and predicting potential side effects. However, most pQTL studies have focused on the plasma proteome, overlooking tissue-specific effects. Here, we investigate the plasma and tissue proteome and derive tissue-specific pQTLs in a unique dataset derived from a cohort of 284 STARNET patients, predominantly male, with a mean age of 65 years and a high prevalence of coronary artery disease (CAD). Importantly, our dataset includes paired tissue samples from aortic wall, mammary artery, liver, and skeletal muscle alongside plasma, allowing for a comprehensive comparative analysis across tissues--all from the same individuals. We employed the Olink Explore 3.2k platform to assess relative protein levels in each tissue. We identify 608 cis-pQTLs, the majority of which are found in plasma, reflecting greater protein variability. Notably, we find 13 proteins with exclusive tissue-specific pQTLs, underscoring distinct as well as shared genetic influences across tissues. Colocalization analyses reveal shared genetic regulation between tissue proteins and cardiometabolic traits, including LDL, HDL, and triglycerides levels, implicating proteins such as PNLIPRP2, SORT1, and PRSS53 as potential mediators of lipid regulation. Furthermore, Mendelian randomization analyses suggest a liver-specific role for SORT1 and PSRC1 in modulating CAD risk and lipid profiles. Our findings highlight the importance of profiling tissue-shared, and tissue-specific, protein expression and pQTLs to elucidate disease mechanisms and accelerate precision drug and biomarker discovery.

genetics↗

bioRxiv2025

Modular, reconfigurable fiber-based neural probe (MoRF probe) with interchangeable and tunable optical waveguide, microfluidic channel, and microelectrodes

Neuroscience is at an exciting juncture at which large-scale in vivo electrophysiology, including in humans, is intersecting symbiotically with revolutionary computational and statistical methods. Maintaining this relationship requires increasingly advanced neural probes for multimodal interrogation of neural circuitry (e.g. perturbation experiments are of value to computational modeling). Here, we developed a low cost modular and reconfigurable recording and stimulation fiber-based neural probe (MoRF) fabricated via a first step thermal drawing process (TDP) and a second step thermal tapering process (TTP). We demonstrated the device modularity and reconfigurability in several functional variations of the same device, as well as the ability to adjust the distance between different sensing elements. We validated the electrical, optical and microfluidic drug delivery performance of the MoRF probe and demonstrated its in vivo electrophysiological recording and optogenetic stimulation capabilities in awake mice.

bioengineering↗

bioRxiv2025

Metabolite Interactions Mediate Beneficial Alliances Between Bacillus and Trichoderma for Effective Fusarium Wilt Control

Bacteria-Fungi Interactions play a crucial role in soil nutrient cycling and plant disease suppression. Bacillus and Trichoderma exhibit antagonism when inoculated on laboratory media, global soil sample analysis reveals a positive correlation between these two genera in addition to enhanced plant-pathogen Fusarium oxysporum (FOC) suppression and plant growth promotion. Here, we depict a complexity of interactions in a cross-kingdom consortia of Bacillus velezensis and Trichoderma guizhouense. Transcriptomic profiling revealed that in the presence of fungi, the key stress sigma factor of B. velezensis activates expression of biosynthetic genes for antimicrobial secondary metabolite production. Among these, surfactin induces T22azaphilone production in T. guizhouense that hinders oxidative stress. Both surfactin and T22azaphilone contribute to Bacillus and Trichoderma maintenance in soil in the presence of FOC. Finally, FOC-secreted fusaric acid temporarily inhibits B. velezensis growth while it is efficiently degraded by T. guizhouense. These metabolite-mediated interactions reveal how competing soil microorganisms could form effective alliances that ultimately enhance plant protection against soil-borne pathogens.

microbiology↗