Biology subjects

Liu, S.

Publications and source records attributed to Liu, S..

At least 37 records · Page 2Linked to original sources

bioRxiv2026

Human skin fibrosis with iPSC-derived organoids reveals RUNX2-mediated fibroblast reprogramming

Fibrotic skin diseases are characterized by persistent fibroblast activation and extracellular matrix remodeling, yet the mechanisms governing fibroblast state transitions remain incompletely understood. Here, we established a human iPSC-derived skin organoid model of fibrosis through chronic TGF-{beta} stimulation. Single-cell RNA sequencing combined with immunofluorescence-based spatial analysis revealed dynamic fibroblast state transitions, spatial reorganization, and expansion of activated fibroblast populations during fibrotic remodeling. Integration with human scleroderma single-cell datasets demonstrated conserved fibroblast states and transcriptional programs between organoids and patient tissues. We further identified broad induction of RUNX2 in the dermal compartment during fibrosis, and RUNX2 depletion attenuated fibrotic marker expression. CUT&RUN profiling revealed RUNX2 occupancy at fibrosis-associated loci, including RUNX1 and LOXL2. Using a machine learning-guided screening approach, we identified F0565-0303, a small molecule that suppressed RUNX2-dependent fibrotic programs in vitro and reduced fibrosis in a bleomycin-induced mouse model. Together, these findings establish human skin organoids as a platform for modeling fibrosis and nominate RUNX2 as a potential therapeutic target.

bioengineering↗

bioRxiv2026

Pathogen-associated odor experience induces inherited olfactory avoidance in a parasitoid wasp

Odors allow animals to evaluate resources and risks, but the neural and inherited consequences of experience with ecologically meaningful odors remain poorly understood. Since both parasitoids and entomopathogenic fungi are widely used as agents in integrated biocontrol, we asked whether exposure to pathogen-associated volatiles can reassign odor value in a parasitoid wasp and whether the acquired bias is transmitted to descendants. Adult female Scleroderma guani were exposed, without host contact, to volatiles from Beauveria bassiana-infected hosts or to methyl cinnamate (MC), a representative component of the infected-host odor. Twelve-hour exposure shifted subsequent choices away from infected-host odor and MC, whereas shorter exposure produced different effects, indicating duration-dependent olfactory plasticity. The shift occurred without an explicit reward or punishment and is therefore consistent with non-associative learning. Unexposed F1 and F2 descendants of MC-exposed females expressed the same avoidance bias. MC stimulation elicited stronger calcium responses in mushroom-body regions of trained females and their descendants. Head transcriptomes identified reduced expression of the crustacean cardioactive peptide receptor (CCAPR) as a shared molecular signature, and CCAPR RNA interference phenocopied the odor-avoidance behavior. Finally, maternal treatment with sinefungin, a broad S-adenosylmethionine-dependent methyltransferase inhibitor, left maternal behavioral shift intact but abolished the F1 bias, implicating a methylation-sensitive process in transmission. Together, these results reveal that a pathogen-associated odor can induce durable, cross-generational reweighting of olfactory value in a non-model insect and identify candidate neural and neuropeptidergic mechanisms linking sensory experience to inherited behavior, and providing a new perspective on utilizing training in integrated biocontrol as well.

animal behavior and cognition↗

bioRxiv2026

High-dimensional population codes reveal interpretable and diverse features underlying visual perception

Despite large-scale recordings, neuroscience has identified representations for only a small fraction of visual features distinguishable by humans. This is increasingly attributed to mixed selectivity, where individual neurons respond to multiple stimuli, requiring population-level readouts of human-recognizable ('interpretable') representations. To identify interpretable representations at scale, we 1)computationally extract population codes from macaque electrophysiology datasets spanning V4 and IT cortex and vision models and 2) introduce an automated method to measure representation interpretability and diversity, then isolate a set of unique, meaningful features encoded by neurons versus populations. Across datasets, populations represent more interpretable, diverse features than neurons. This advantage grows with the number of sampled neurons and image diversity. Finally, we demonstrate through targeted ablations that interpretable representations play a causal role in downstream behavior. Overall, our framework enables a more comprehensive account of the features represented across biological and artificial visual systems and their contributions to visual perception.

neuroscience↗

bioRxiv2026

Capsid-specialized protein language models reveal higher-order viral architecture from sequence

Viral capsid proteins preserve information on higher-order shell architecture and deep evolutionary history, yet current capsid annotation relies predominantly on homology-based methods that have reduced sensitivity across highly divergent environmental sequences. Here we develop ESMCapsid, a capsid-specialized protein language model for remote capsid detection and architecture-aware representation learning. Screening 343 million representative metagenomic protein clusters revealed a large homology-dark capsid repertoire, with approximately 62% of candidates lacking matches to existing reference databases. Sparse autoencoder decomposition identified recurrent semantic motifs linking homology-dark proteins to known structural lineages, suggesting that interpretable higher-order architectural information can be recovered directly from capsid sequences at metagenomic scale. Mapping conserved motif cores onto resolved viral shells showed spatial clustering and restricted radial positions, indicating that ESMCapsid captures geometric constraints beyond sequence similarity alone. Together, our findings establish a sequence-based route to organize homology-dark viral diversity through conserved architectural principles, extending viral discovery beyond sequence homology.

microbiology↗

bioRxiv2026

Disrupting Myeloid Persistence and Replenishment Enables Sustained Control of Esophageal Squamous Cell Carcinoma

Responses to macrophage-directed therapy can be transient because tumors preserve myeloid support through complementary persistence and replenishment. In esophageal squamous cell carcinoma (ESCC), CSF1R inhibition reduced established tumor-associated macrophages but was followed by expansion of Ly6C/CCR2-positive monocytic and Ly6G-positive granulocytic populations. Low-dose decitabine preferentially restricted recruited populations while sparing a LYVE1-associated macrophage state, exposing reciprocal pharmacologic blind spots. Combined treatment suppressed both arms and produced sustained control across patient-derived organoid xenograft, orthotopic, and immunocompetent models. Neutrophil depletion reproduced initial regression but not sustained control, indicating that the recruited escape arm extended beyond Ly6G-positive granulocytes. Single-cell profiling mapped these vulnerabilities onto a treatment-resolved myeloid architecture comprising a C1qa-positive TAM continuum, a C1qa-negative Ccr2/Ly6c2-high inflammatory monocytic-like compartment, and a LYVE1/MRC1-positive tissue-supportive macrophage state. Human ESCC contained corresponding macrophage programs and an adverse-outcome-associated LYVE1-rich niche. These findings identify state-aware coverage of complementary myeloid vulnerabilities as a strategy to overcome escape from macrophage-directed therapy.

cancer biology↗

bioRxiv2026

The MOS4-associated complex subunit MAC5A maintains meristem development by regulating transcription elongation in Arabidopsis

The precise coordination of co-transcriptional RNA processing with transcriptional elongation is essential for eukaryotic gene regulation, yet the machineries coupling these processes remain largely elusive. Here, we reveal a role for the spliceosome-associated MOS4-associated complex (MAC) in regulating plant development through the direct regulation of transcriptional elongation. We demonstrate that the MAC subunit MAC5A physically interacts with Elongator Protein 6 (ELP6), a core component of the transcriptional Elongator complex. Genetic analyses reveal that MAC5A and ELP6 function synergistically to regulate apical meristem activity. Importantly, the MAC5A-Elongator module is required for the efficient expression of the critical auxin efflux carrier PIN-FORMED1 (PIN1) by enhancing RNA Polymerase II (RNAPII) occupancy across the PIN1 locus. Furthermore, we show that this elongation-promoting function is not unique to MAC5A, as other core MAC components are similarly required for efficient transcription progression. Together, our findings uncover a splicing-elongation nexus where MAC5A likely acts as a molecular bridge between the spliceosome and the elongation polymerase. This functional coupling ensures the efficient transcription of key developmental regulators, providing a mechanistic framework for the coupling of RNA processing to transcription and suggesting a conserved principle of gene expression control across eukaryotes.

plant biology↗

bioRxiv2026

A virus co-opts vector's m⁶A machinery for adaptive compensation

Insect vectors harbor diverse viruses that threaten human health and agricultural production, yet the genetic basis of mutualistic virus-vector interactions remain elusive. This underscores a long-standing paradox in pest management: viruses that cause destructive diseases also facilitate vector adaptation in ways that benefit both parties. Here we show that the globally devastating tomato yellow leaf curl virus (TYLCV) acts as a Cooperative Partner, co-opting its vector's m6A epitranscriptomic machinery to offset the reproductive fitness costs of neonicotinoid resistance in the whitefly. In resistant vectors, TYLCV infection alleviates reproductive deficits via the m6A-dependent pathway, where the methyltransferase METTL14 and demethylase ALKBH4 coordinately stabilize vitellogenin (Vg) transcripts to boost female fecundity. Mechanistically, the viral C2 and CP proteins directly interact with METTL14 and ALKBH4, respectively, remodeling their RNA binding affinity to facilitate mA modification on Vg. Disrupting either of these viral-vector protein interactions restores a reproductive cost phenotype in viruliferous resistant vectors, offering novel targets for sustainable pest control. Our findings uncover a fundamental role of epigenetic marks in adaptive trait, reshaping beneficial virus-vector relationships and providing new insights for innovative public health and crop protection strategies to address global challenges.

microbiology↗

bioRxiv2026

PerturbTrace: Evaluating Feedback Use by AI Co-Scientist Agents in Perturbation Discovery

Recent advances in AI co-scientists have brought LLM agents into closed-loop experimental design. However, whether these agents use feedback from earlier rounds to revise subsequent experimental decisions remains unclear. We address this question with PerturbTrace, which evaluates each round-to-round transition through Feedback-to-State, State-to-Action, and Action-to-Outcome. These stages assess whether feedback is reflected in the agent's rationale and perturbation-selection strategy, whether the stated strategy guides the next perturbation batch, and whether that batch yields more hits than expected under random sampling. We evaluate four LLM agents on 17 screen-derived tasks and compare them with random selection, active learning, and LLM-guided Bayesian optimization baselines. Each agent outperforms the strongest non-agent method on at least 15 of the 17 tasks, yet controlled evaluations across six tasks show no consistent advantage from true feedback over random or no feedback. Among 576 transitions under true or random feedback, only 43 (7.5%) complete the full Feedback-State-Action-Outcome sequence, including 25 under random feedback. These findings show that high final recall does not necessarily indicate effective feedback use. They also highlight the need to evaluate closed-loop scientific agents by both their discovery performance and whether feedback changes their subsequent decisions.

bioinformatics↗

bioRxiv2026

Base-and-Sugar Dual-Frame Flow Matching for RNA Co-Design

Current frame-based RNA generative models represent each nucleotide with a single rigid coordinate frame. However, our analysis of seven nucleotide frame constructions across 11,497 static RNA chains and 31,432 multi-state relation groups reveals a clear trade-off: base-centered frames better preserve base-mediated relations, whereas sugar-centered frames better support sugar-phosphate backbone reconstruction. Motivated by this complementarity, we introduce DuetRNA, a joint sequence-structure generation model for RNA co-design that performs SE(3) flow matching over coupled base-and-sugar frames. Empirically, we evaluate DuetRNA under both the inverse-folded (IF) backbone-design protocol and generated-sequence (GS) co-design protocol. DuetRNA improves scTM-validity over the strongest matched baselines by 7.67 and 4.33 % under IF and GS, respectively. Controlled ablations further support the necessity of the dual-frame modeling in DuetRNA. The official DuetRNA repository is https://github.com/XjunLi/DuetRNA.

bioinformatics↗

bioRxiv2026

Systematic assessment of transcriptomic and phenotypic biological profiling for mechanism-based hazard assessment using target-annotated reference chemicals in renal proximal tubular epithelial cells

Integrating high-throughput in vitro data into next-generation risk assessment (NGRA) workflows requires screening strategies that yield quantitative potency estimates and mechanistically interpretable biological signals. Transcriptomic and morphological profiling are increasingly adopted for early-stage hazard identification by enabling triage of substances for resource-intensive follow-up and prioritizing candidates most likely to present meaningful risk. In this study, we aimed to characterize biological concordance and uncertainty by quantifying how well high-throughput transcriptomics (HTTr) and Cell Painting PLUS (CPP) bioactivity profiles recover target-relevant biological signals in immortalized human renal proximal tubule epithelial RPTEC/TERT1 cells using 313 reference chemicals with high-confidence target annotations. Through quality control procedures and biological activity filters we yielded 142 reference chemicals spanning 66 different targets, which were systematically evaluated for biological concentration-responses by HTTr and CPP. HTTr was evaluated using TXG-MAPr-based qualitative and quantitative gene network activity analysis. HTTr showed the most prominent activity for targets that were highest expressed in RPTEC/TERT1 cells. Active chemical-pairs showed strong gene network activity correlation albeit with different potencies. Similarly, the highest transcriptomic concordance was observed for reference chemicals acting in the same pathway, such as EGFR/MEK or PI3K/AKT/mTOR. CPP often showed high sensitivity primarily at the organelle level providing limited statistical power for chemical grouping. Collectively, the results support HTTr and CPP as complementary early-tier assays within an in vitro weight-of-evidence safety testing framework. Although CPP is suitable as a cost-effective screening modality, HTTr offers higher mechanistic resolution for mode-of-action inference in high-throughput bioactivity screening and therefore remains necessary for high-confidence mechanistic interpretation.

pharmacology and toxicology↗

bioRxiv2026

Reversible m6Am methylation of snRNA by FTO controls morphine reward and tolerance without altering analgesia

Mu opioids, such as morphine, are effective analgesics, but their reward and tolerance drive opioid use disorder. A major goal is to achieve analgesia without these harmful effects. Here we show that morphine reward and tolerance require the RNA demethylase FTO. Genetic depletion and pharmacologic inhibition of FTO each reduced morphine reward, measured by conditioned-place preference, and reduced antinociceptive tolerance to morphine and fentanyl, without altering analgesia. Although FTO is known to erase m6A on mRNA, we found no effect of FTO depletion on m6A sites, but markedly increased levels of m6Am on snRNA. The effects of FTO depletion were suppressed in mice that cannot make m6Am, supporting the role of m6Am in morphine reward and tolerance. We show that FTO depletion regulates a gene expression network linked to morphine signaling. FTO inhibitors may therefore provide useful adjuvants to mu opioids in pain management and treatment of opioid use disorder.

neuroscience↗

bioRxiv2026

RNA m6A demethylase ALKBH4 governs whitefly development

N6-methyladenosine (m6A) modification is the most predominant and ubiquitous internal modification of RNA in eukaryotes, serving as a key post-transcriptional regulator of gene expression that is dynamically modulated by methyltransferases (writers) and demethylases (erasers). However, while the functions of m6A methylases have been partially elucidated in insects, the identity of m6A erasers in arthropods and their chemical catalytic mechanisms, as well as biological functions, remains largely enigmatic. Here, we uncovered 2499 putative methylase genes and 1148 putative demethylase genes in 266 insect genomes, and demonstrated that ALKBH4 functions as an m6A demethylase in the whitefly, Bemisia tabaci, catalyzing the oxidative reversal of mRNA m6A modifications both in vitro and in vivo. Furthermore, we established that ALKBH4, in coordination with other core components of the m6A pathway, fulfills an essential function in regulating the transcript stability of Imaginal Disk Growth Factor 1 (IDGF1) during whitefly development. Collectively, our findings expand the evolutionary scope of the eukaryotic m6A modification system, and reveal a conserved yet insect-specific epitranscriptomic regulatory mechanism governing fundamental physiological processes and adaptive phenotypes. Significance statementThe addition of a methyl group to the N6-position of adenosine (m6A) is a highly abundant chemical modification of RNA. However, the functional role of m6A in insects and the key enzymes that regulate its levels remains poorly understood. In this study, we explored putative methylase genes and demethylase genes in hundreds insect genomes, and identified an m6A RNA demethylase, ALKBH4, in the whitefly, Bemisia tabaci. We demonstrate that ALKBH4 oxidatively reverses mRNA methylation in vivo and in vitro, in combination with other components of the m6A pathway, plays an important role in whitefly development. These findings provide new insight into m6A methylation system of insect.

zoology↗

bioRxiv2026

Early Emergence of Cultural Differences in Audiovisual Speech Perception

Integrating auditory and visual cues is a hallmark of human speech perception, yet adults from East Asian backgrounds show less reliance on visual speech than their Western counterparts. The origins of this cultural difference, however, remain unknown. To investigate whether this divergence is established early in infancy, we examined audiovisual integration in 6- to 12- month-old White Canadian (n=111) and Chinese (n=115) infants using a novel paradigm measuring their perception of the McGurk effect. Across four experiments, we found a clear developmental divergence: Canadian infants showed a stable McGurk effect from 6 months onward, whereas Chinese infants showed a more protracted developmental trajectory, a cultural pattern that was further highlighted when their integration was challenged by other-race faces. These findings provide the first direct evidence that cultural differences in multisensory speech perception are established within the first year of life, suggesting that the brains strategy for binding sight and sound is shaped by early experience, with broad implications for theories of language acquisition and developmental science.

developmental biology↗

bioRxiv2026

ASOCompass: Context- and Chemistry-Aware Activity Prediction for Transferable Antisense Oligonucleotide Screening

Antisense oligonucleotide (ASO) activity is jointly influenced by nucleotide sequence, chemical modification, target-RNA context, dose, delivery protocol, and cellular environment. Most existing computational screening methods model only a subset of these factors, limiting their ability to predict experimentally measured activity across heterogeneous screening conditions and previously unseen biological contexts. We introduce ASOCompass, a context-and chemistry-aware framework for ASO activity prediction and candidate ranking. ASOCompass integrates contextualized ASO and target-RNA sequence representations with position-specific molecular representations of chemical modifications. It further incorporates dose and delivery information together with prototype-adapted transcriptomic representations of target genes and cell lines. To encourage chemically and biophysically informative representations, the model is jointly trained on auxiliary molecular-property and sequence-derived thermodynamic prediction tasks. We evaluate ASOCompass on ASO Atlas, a large patent-derived dataset of RNase H-mediated gapmer ASOs, under held-out drug, target-gene, cell line, and joint gene-cell line settings. ASOCompass achieves an overall Spearman correlation of 0.5970, improving over the strongest ASO-specific baseline by 0.0421, and consistently performs best across all four distribution shifts. When adapted to unseen SOD1 and KLKB1 targets, ASOCompass also provides more accurate candidate ranking across different annotation budgets, reaching correlations of 0.830 and 0.696 with 1,024 target-specific labels. Additional analyses suggest that molecular-property supervision improves modification-specific ranking, while the auxiliary thermodynamic task produces representations more closely aligned with measured inhibition. These results demonstrate the potential of jointly modeling sequence, chemistry, and experimental-biological context for transferable ASO screening.

bioinformatics↗

bioRxiv2026

Liriodendrin Targets PFKFB3 to Suppress Inflammatory Phenotypic Transition and Vascular Remodeling in Pulmonary Hypertension

BackgroundPulmonary hypertension (PH) involves progressive vascular remodeling and perivascular inflammation. Despite modest clinical improvements with current therapies, their limited ability to reverse remodeling or restore immune homeostasis highlights the need for novel agents. Liriodendrin (Lidd), derived from Sargentodoxae caulis, exhibits anti-inflammatory and antiproliferative activities, but its efficacy and molecular targets in PH are unknown. MethodsTwo well-established PH animal models - the SU5416/hypoxia (SuHx) mice model and monocrotaline (MCT)-induced rat model - were employed for in vivo assessment of Lidd conducted pharmacological effects. Primary human pulmonary artery smooth muscle cells (hPASMCs) were utilized for mechanistic investigations. RNA-sequencing (RNA-seq) analysis was conducted to identify potential signaling pathways modulated by Lidd treatment. The direct molecular target of Lidd was determined through integrated application of drug affinity responsive target stability (DARTS) assay coupled with western blot validation. To delineate histone lactylation-mediated transcriptional regulation, we combined Cleavage Under Targets and Tagmentation (CUT&Tag) sequencing data analysis followed by chromatin immunoprecipitation quantitative PCR (ChIP-qPCR) verification. Genetic validation was achieved using PFKFB3-deficient murine models to verify the specificity of Lidd-mediated pharmacological actions. ResultsLidd administration attenuated pulmonary vascular remodeling, perivascular macrophage infiltration and PH progression in both SuHx and MCT models. Transcriptomic profiling of Lidd-treated hPASMCs revealed predominant enrichment of downregulated genes in inflammatory and cytokine-associated pathways. Mechanistically, Lidd directly bound PFKFB3 and enhanced its interaction with FZR1, promoting PFKFB3 ubiquitination and degradation, which reduced glycolysis-driven lactate and consequent histone lactylation. This, in turn, diminished transcriptional activation of proliferative and inflammatory mediators, including CCND1, TNC, and CCL2. Notably, exogenous lactate supplementation or endogenous lactate accumulation restored histone lactylation and paradoxically potentiated Lidds inhibitory effects on PASMC proliferation and migration, whereas p300 inhibition abrogated these lactate-mediated effects. Importantly, Lidd failed to confer additional protection in PFKFB3-deficient mice, confirming PFKFB3 as the primary target mediating its therapeutic action. ConclusionOur findings reveal that Lidd selectively targets the PFKFB3-mediated glycolytic-epigenetic axis to suppress PASMC phenotypic transformation and pulmonary vascular remodeling, positioning it as a promising therapeutic candidate for PH.

physiology↗

bioRxiv2026

Isoflurane and surgery aggravate APOE4-dependent lipid dysregulation and neural dysfunction, leading to neurological impairment in male mice

PurposePerioperative exposure to the volatile anesthetic isoflurane (ISO) has been associated with cognitive and olfactory deficits and may increase the risk of Alzheimers disease (AD). Apolipoprotein E4 (APOE4), the strongest genetic risk factor for AD, contributes to disease pathogenesis through disrupted lipid homeostasis. However, whether and how isoflurane interacts with APOE genotype to influence neurological vulnerability remains unclear. MethodsYoung adult, presymptomatic humanized APOE4 and APOE3 knock-in mice underwent laparotomy under 2 h of isoflurane anesthesia. Microglia and astrocytes were isolated from the olfactory bulb (OB) and hippocampus (HI) by magnetic-activated cell sorting. Lipid composition, transcriptional responses, and functional outcomes were assessed using lipidomic, bulk RNA-seq, and longitudinal behavioral testing. In vivo and ex vivo electrophysiological recordings evaluated neuronal excitability and synaptic transmission in both regions. ResultsBy day 7 post-anesthesia, cell type-specific lipidomic profiling of both OB and HI revealed more pronounced lipid perturbations in microglia and astrocytes from APOE4/ISO mice than from APOE3 mice, characterized by elevated free fatty acids, increased lipid peroxidation, triglyceride depletion, and reduced hippocampal hexosylceramides and cardiolipins. Electrophysiological recordings showed greater olfactory circuit dysfunction in APOE4/ISO mice, accompanied by persistent odor memory deficits, transient olfactory sensitivity loss, early motor coordination impairments, and delayed cognitive deficits. RNA sequencing of the OB identified downregulated lipid metabolism and atherosclerosis-related pathways. ConclusionThese findings establish a mechanistic link between APOE4-dependent glial lipid dysregulation, olfactory circuit dysfunction, and delayed cognitive impairment following isoflurane anesthesia and surgery, highlighting lipid homeostasis as a potential therapeutic target.

neuroscience↗

bioRxiv2026

Introns encode a vast class of Kink-loop RNAs that autoregulate pre-mRNA splicing

Introns occupy nearly one-third of the human genome, yet whether they encode widespread regulatory functions remains unclear. Here, we identify a vast new class of intron-derived Kink-loop RNAs (klRNAs) that autoregulate host pre-mRNA splicing. We developed orthogonal sequencing methods to systematically uncover approximately 15,200 and 3,500 previously unannotated klRNAs in humans and mice, respectively. Bound by the conserved RNA-binding protein 15.5K, klRNAs are compact orphan RNAs characterized by stereotypically positioned terminal C/D motifs that form K-loop structures. Depletion of 15.5K broadly disrupts klRNA biogenesis. Functional and genetic perturbations establish that klRNAs suppress host intron excision through a K-loop-dependent mechanism. Together, our findings establish klRNA-mediated autoregulation as a widespread principle governing intron fate and reveal a previously unrecognized regulatory layer encoded within mammalian introns.

molecular biology↗

bioRxiv2026

Structural homology reveals cerato-platanins as conserved antimicrobials repeatedly co-opted for fungal host colonization

Fungal cerato-platanins (CPs) are small ([~]12 kDa) secreted proteins broadly conserved across filamentous fungi and implicated in a striking diversity of biological processes, ranging from fungal development to interactions with plant hosts. However, a core molecular activity unifying these diverse functions has remained elusive. Fungal pathogens secrete effector proteins, including CPs, to manipulate host physiology and promote colonization. Increasing evidence demonstrates that particular fungal effectors possess antimicrobial activity that enables pathogens to reshape host-associated microbiota during infection, and that antimicrobial activity is strongly enriched among evolutionarily conserved secreted proteins. These findings suggests that intermicrobial competition represents an ancient and fundamental fungal trait, and that several effectors that manipulate plant hosts evolved from ancient antimicrobials. Here, we identify antimicrobial activity as the conserved core function of the CP family, from which diverse roles in environmental adaptation and host interaction evolved. Structural analysis of the Verticillium dahliae secretome identified a structural cluster containing the CP protein CP1 and the previously characterized antimicrobial effector Ave1, providing the first structural link between CPs and antimicrobial activity. Accordingly, functional assays demonstrate that V. dahliae CPs exhibit selective antimicrobial activity in vitro. Expanding this analysis to a wide diversity of phylogenetic lineages and ecological lifestyles revealed that antimicrobial features are broadly conserved across the CP family. Together, our findings identify antimicrobial activity as an ancient and conserved molecular function that unifies the CP family and support a model in which host-manipulating effector functions evolved from ancestral proteins that mediate inter-microbial competition.

microbiology↗