Biology subjects

Yang, Z.

Publications and source records attributed to Yang, Z..

At least 127 records · Page 7Linked to original sources

bioRxiv2026

Lysosomal Aspartylglucosaminidase Couples Glycoprotein Catabolism to Cell-Surface GlycoRNA Production

GlycoRNAs, small non-coding RNAs covalently linked to N-glycans, reveal an unexpected intersection between RNA biology and glycosylation, with potential roles in immunity and cell-cell communication. The origins and biogenesis of their glycans remain unclear. Using CRISPR-Cas9 screening, metabolic glycan labeling and lysosome-targeted proteomics, we reconfirm canonical N-glycosylation enzymes (STT3A/B) and identify components of the mannose-6-phosphate (M6P) lysosomal sorting pathway (GNPTAB, M6PR) as essential contributors. Strikingly, lysosomal aspartylglucosaminidase (AGA) acts as a rate-limiting regulator, linking glycoprotein catabolism to glycoRNA formation. Loss of AGA collapses both abundance and diversity of RNA-linked N-glycans, while pulse-chase tracing shows glycoprotein-derived glycans are repurposed for RNA glycosylation. These findings position lysosomes as active participants in RNA modification and redefine glycoRNA biogenesis as a metabolically integrated process.

cell biology↗

bioRxiv2026

A robust low-dimensional manifold organizes neuronal responses to sustained input

Neuronal electrophysiological identity is expressed through responses to input, but how this identity is organized across distinct physiological input regimes remains unclear. Conventional descriptors such as firing rate, threshold, latency, or response amplitude capture local aspects of excitability, while different current-clamp protocols expose different dimensions of cellular response. Here, we asked whether protocol-specific response measurements reveal distinct physiological axes while preserving shared organization among genetically targeted cell groups. Using intracellular current-clamp recordings from mouse visual cortex, we constructed multivariate response geometries from long-pulse, ramp, and brief-pulse stimulation protocols, respectively probing sustained spiking output, dynamic recruitment, and fast transient response/gain. Each protocol revealed a structured and interpretable geometry: long-pulse responses organized cells along sustained-output and high-current response dimensions, ramp responses isolated recruitment-threshold structure, and brief-pulse responses captured fast transient response and gain-related variation. Driver-defined groups occupied ordered positions within these geometries, indicating that protocol-specific response axes were linked to cell-group organization. Across protocols, driver-defined group distance structures remained positively aligned after balanced resampling and comparison with driver-label shuffle null models, showing that protocol-specific geometries retained partially shared relational structure. These findings support a protocol-resolved view of cellular electrophysiological identity as a multidimensional response organization, in which distinct physiological probes reveal protocol-specific response modes embedded within shared cell-group structure.

neuroscience↗

bioRxiv2026

A chloroplast-localized protein AT4G33780 regulates Arabidopsis development and stress-associated responses

BackgroundChloroplasts play central roles not only in primary metabolism but also in the regulation of plant growth, development, and stress responses through complex signaling networks. AT4G33780 is annotated as a putative ATP phosphoribosyltransferase (ATP-PRT) regulatory subunit and predicted to localize to chloroplasts; however, its biological function in planta remains largely unexplored. How chloroplast-associated regulators coordinate developmental processes with metabolic status and stress adaptation is still poorly understood. Resultswe characterized the function of AT4G33780 in Arabidopsis thaliana using CRISPR/Cas9 knockout and overexpression lines. AT4G33780 localized to chloroplasts and exhibited pronounced tissue-specific expression. Genetic perturbation of AT4G33780 resulted in non-linear and context-dependent developmental phenotypes, affecting seed germination, early seedling growth, vegetative development, and root responses to nickel stress. Transcriptomic analysis revealed extensive transcriptional reprogramming in knockout plants, including coordinated upregulation of cell wall-related gene families. Untargeted metabolomic profiling further indicated pronounced alterations in central energy metabolism, particularly pathways associated with carbon flux and energy utilization. Integrated omics analyses suggested that AT4G33780 does not directly control individual metabolic pathways but influences higher-order coordination between metabolic state and developmental regulation. ConclusionsOur results identify AT4G33780 as a chloroplast-localized regulator that modulates plant growth and stress-associated responses in a dosage- and context-dependent manner. Rather than acting as a simple determinant of growth, AT4G33780 contributes to developmental robustness by aligning energy utilization and cell wall remodeling with developmental demand. This study provides new insights into how chloroplast-associated regulatory factors integrate metabolism, development, and stress adaptation in plants.

plant biology↗

bioRxiv2025

Template-based RNA structure prediction advanced through a blind code competition

Automatically predicting RNA 3D structure from sequence remains an unsolved challenge in biology and biotechnology. Here, we describe a Kaggle code competition engaging over 1700 teams and 43 previously unreleased structures to tackle this challenge. The top three submitted algorithms achieved scores within statistical error of the winners of the recent CASP16 competition. Unexpectedly, the top Kaggle strategy involved a pipeline for discovering 3D templates, without the use of deep learning. We integrated this template-modeling pipeline and other Kaggle strategies to develop a single model RNAPro that retrospectively outperformed individual Kaggle models on the same test set. These results suggest a growing importance of template-based modeling in RNA structure prediction.

biophysics↗

bioRxiv2025

Improved Phylogenetic Posterior Estimation through Regularised Conditional Clade Distributions

Bayesian phylogenetic inference uses Markov chain Monte Carlo sampling to estimate the posterior distribution of phylogenetic trees. However, the complex geometry of treespace makes these distributions difficult to characterise. Traditional approaches often summarise posterior samples into a single point estimate, discarding much of the information contained in the full distribution. Conditional clade distributions (CCDs) address this by providing a tractable model of the full tree distribution, but existing parameterisations exhibit complementary strengths. We introduce a new family of models called regularised conditional clade distributions (regCCD), which apply regularisation to balance sample fidelity against overfitting, thereby combining the strengths of existing parameterisations. We show that regCCD outperforms existing models in capturing the posterior distribution and provides better point estimates than its underlying model. Furthermore, we provide an efficient procedure for selecting the optimal regularisation parameter for a given posterior tree set. Finally, we demonstrate the application of regCCD in assessing whether different phylogenetic models or data produce statistically distinguishable tree distributions.

evolutionary biology↗

bioRxiv2025

Nano-Sieve Enabled On Chip Concentration and Multiplexed Detection of Raman-Dye Labeled Nanocubes

To address persistent challenges in molecular detection--particularly signal variability, low analyte abundance, and poor spectral reproducibility--a portable bead-stacked nano-sieve platform was engineered to enable robust on-chip Raman signal amplification using silver nanocubes (AgNCs) functionalized with Raman-active thiolated ligands. The microdevice integrates deformable elastomeric channels with magnetic bead stacking to immobilize and concentrate AgNCs within confined nanoscopic junctions, thereby generating densely packed plasmonic hot-spot architectures that markedly enhance Surface-Enhanced Raman Scattering (SERS) efficiency. Time-resolved measurements revealed substantial increases in Raman intensity for both 4-mercaptobenzoic acid (4-MBA) and 4-aminothiophenol (4-ATP), outperforming corresponding off-chip assays and maintaining stable enhancement factors over a four-hour operational window. Furthermore, the platform successfully demonstrated multiplexed sensing capability: mixed-analyte experiments containing 4-MBA, 4-ATP, and cysteamine produced clearly distinguishable spectral fingerprints, even under serial dilution and dynamically pulsed sample delivery. Collectively, these results establish the bead-stacked nano-sieve as a versatile, label-free, and scalable diagnostic architecture capable of achieving high sensitivity and spectral fidelity under continuous-flow conditions. Our technology holds significant promise for real-time, non-invasive molecular surveillance, point-of-care diagnostics, and early disease monitoring in resource-limited or field-deployable settings.

bioengineering↗

bioRxiv2025

Discovery and Characterization of a Hydroxypyridone-3-carboxamide Analog as an Antiviral Lead against Orthopoxviruses

Orthopoxviruses remain a persistent global health concern due to the ongoing circulation of mpox, the possibility of the re-emergence of smallpox, and the threats posed by many poxviruses that infect animals and/or humans. The limited availability of antiviral drugs, the unproven efficacy in humans, and the emergence of resistant mutants underscore the need for new and better therapeutics. In this study, we identify and characterize ZW-2038, a hydroxypyridone-3-carboxamide analog, as an antiviral compound against vaccinia virus (VACV), monkeypox virus (MPXV), and cowpox virus (CPXV). Discovered through a focused in-house small-molecule screen, ZW-2038 exhibited low micromolar potency and high selectivity in primary human fibroblasts. The compound also reduced viral replication under physiomimetic conditions including human and monkey intestinal organoids (enteroids) and ex vivo mouse lung tissue models. Mechanistically, ZW-2038 suppresses VACV DNA replication and downstream post-replicative gene expression, albeit without inhibiting MPXV resolvase (Mpr) in vitro. These findings, along with in vitro safety profiling and mice pharmacokinetics studies, characterize ZW-2038 as a promising yet suboptimal antiviral lead against orthopoxviruses warranting future development.

microbiology↗

bioRxiv2025

Structural Basis of Asymmetric Class C GPCR activation and distinct Gq coupling induced by force stimulation

Mechanosensation is essential for diverse physiological processes. While many G protein-coupled receptors (GPCRs) are known to be mechanosensitive, the underlying mechanism remains largely unknown. Here, we reveal that mechanical force induces Gq activation of mGlu2, a balance modulator residing in kinocilia, but not other 7 mGlu members. Force activates mGlu2 through a conserved N-terminal force transduction motif (FTM) via a unique cis mechanism. We engineered a potent FTM-derived peptide agonist that recapitulates force-induced activation and resolved cryo-EM structures of apo-mGlu2, FTM-mGlu2, LFTM-{Psi}EK-mGlu2 and LFTM-{Psi}EK-mGlu2-Gq. The structures reveal that an atypical FTM binding to a previously uncharacterized pocket induces asymmetric 7TM domain rearrangement, enabling Gq coupling via an ICL1-TM3/6/7 interface, fundamentally distinct from the glutamate-induced Gi coupling mode of mGlu2. Compared with Gi-coupled mGlu2, the 5 helix of Gq rotated by 180{degrees}, penetrating deeper (8 [A]) into a hydrophobic pocket. Disruption of the M7947.32-F7806.57-F7766.53 hydrophobic triad core and a conformational propagation path predominantly comprising TM6-7 residues are identified as key elements mediating force induced mGlu2 activation. Further In vivo rescue experiments support that mGlu2s mechanosensitivity is dependent on FTM and is required for vestibular function. This work establishes a paradigm for class C GPCR mechanotransduction, revealing unprecedented structural mechanisms underlying force-induced Gq coupling and offering a chemical toolset to modulate mechanical signaling of GPCR.

cell biology↗

bioRxiv2025

A Mechanosensitive GPCR at vestibular kinocilium is required for normal balance

Intracellular calcium increase and neurotransmitter release in vestibular hair cells (VHCs) play central roles in equilibrioception, which is one of the basic senses essential for daily life activities and movement in mammals. Independent of mechano-electrical transduction (MET), whether Gq protein-coupled receptor (GqPCR) signaling participate in the regulation of intracellular calcium dynamics and induce neuronal transmitter release in hair cells remains unknown. We screened mechanosensitive GqPCRs in VHCs and found that a Class C GPCR, metabotropic glutamate receptor 2 (mGlu2), is expressed in kinocilia and is essential for normal balance. Notably, the dispensable role of mGlu2 in normal hearing is consistent with absent of mature kinocilia in cochlea hair cells. Different from the conventional mGlu2-Gi signaling, the sensing of mechanical signals by mGlu2 activates the Gq-PLCD4 pathway, increases intracellular calcium concentration and promotes neurotransmitter release in VHCs. Hair cell-specific deficiency of either Grm2 or Gnaq, or knockdown of Plcd4 expression, but not deficiency of another GqPCR Gpr68, causes significant balance deficits. Reintroduction of mGlu2 into the VHCs of Pou4f3-CreER+/- Grm2fl/fl mice restore vestibular functions. Our study reveals a previously uncharacterized role of GPCR signaling in equilibrioception and provides important insight into kinocilia signaling in VHCs, which are absent in mature cochlear hair cells.

cell biology↗

bioRxiv2025

Adapting Epigenetic Clocks for Cell-Free DNA High-Throughput Sequencing Data

Background.Circulating cell-free DNA (cfDNA or ccfDNA) methylation sequencing holds promise for developing epigenetic aging clocks in minimally invasive aging assessment applications. However, current clocks--primarily trained on array-based data--do not readily generalize to methylation profiles of cfDNA, due to stochasticity and uncertainty arising from the limited input amounts of cfDNA and technical characteristics of high-throughput sequencing (HTS) platform. Due to lack of training to correct this uncertainty, direct application of legacy clocks to HTS data will inevitably produce unreliable estimates, introduce predictive discordance and undermine the trustworthiness of epigenetic biomarkers. Despite this urgent challenge, a systematic, model-agnostic framework for adapting existing epigenetic clocks to HTS-based cfDNA data remains lacking. Methods.Here, we generated a dedicated benchmark dataset comprising paired cfDNA and genomic DNA (gDNA), which was replicated and profiled across two methylation arrays and two targeted HTS platforms. We evaluated 53 epigenetic clocks for CpG coverage, reproducibility, cross-platform consistency, and age prediction accuracy. Further, we systematically explored and tested multiple adaptation strategies including depth filtering, beta-value imputation, and transfer learning via model distillation aiming at improving performance and clinical concordance of legacy epigenetic clocks on cfDNA HTS datasets. Results.Our results show that inherent technical noise of HTS platforms compromises diagnostic precision, presenting as a significant burden for applying legacy clocks on cfDNA HTS data. However, this technical limitation can be systematically neutralized. By enforcing stringent sequencing depth protocols ([≥]10x ideally 20x), employing robust algorithmic stabilization (L2-heavy clocks and imputation) and transfer learning, we can effectively isolate genuine physiological aging signals from technical artifacts. Ultimately, an adaptation pipeline incorporating all these methods effectively improved age prediction accuracy and, closed the gap between epigenetically induced aging status and clinically assessed realities. Besides, the pipeline demonstrated improved diagnostic sensitivity for neurodegenerative conditions such as amyotrophic lateral sclerosis, establishing a reliable foundation for non-invasive clinical monitoring. Conclusions.This study provided a comprehensive framework and practical guidelines for adapting epigenetic clocks to HTS-based cfDNA data, paved the path for more general application of cfDNA-based aging assessment and liquid biopsies.

bioinformatics↗

bioRxiv2025

Alphaviral nonstructural protein-host RBP co-condensation as a mechanism to sustain virus replication

It has long been recognized that the intracellular replication of alphaviruses critically relies on several key host RBPs, including G3BP1/2 and FXR1/FXR2/FMR1, but how these RBPs modulate alphaviral replication and whether it would be possible to target these RBPs for antiviral treatment are less explored. Here, using SFV as a model, we report that SFV nsP3 exploits G3BP for its condensation and transforms antiviral stress granules into proviral nsP3-G3BP co-condensates. The gel-like co-condensates of nsP3 and G3BP enrich and protect viral genomic RNAs from host RNase degradation and serve as viral translational hubs to promote viral replication. The mode of nsP3-RBP co-condensation is prevalent across alphaviruses, and disruption of nsP3 condensates is an efficient antiviral approach. Thus, these findings uncover a general anti-alphavirus strategy based on the conserved reliance of nsP3-RBP co-condensation.

cell biology↗

bioRxiv2025

Ataxin-2 knockdown is neuroprotective via cell-autonomous and non-cell-autonomous mechanisms

Ataxin-2 (ATXN2) is a genetic modifier of TDP-43 toxicity and a promising therapeutic target in amyotrophic lateral sclerosis (ALS). However, the mechanisms underlying its neuroprotective effects remain poorly understood. Here we show that ataxin-2 reduction confers neuroprotection by engaging adaptive metabolic programs in both neuronal and glial cells. Using global proteomic profiling in yeast and mouse TDP-43 models, we establish that pbp1/ataxin-2 (pbp1 is the yeast ataxin-2 ortholog) activates orthogonal stress-adaptive programs that enable alternative energy production and augment trophic support, rather than simply reversing TDP-43-induced damage. In neurons, ataxin-2 downregulation activates glycolysis and reductive glutamine carboxylation driven by IDH1, restoring ATP production independently of impaired mitochondria. In astrocytes, ataxin-2 downregulation upregulates cholesterol biosynthesis via HMGCS1, enhancing trophic support to neurons in a non-cell-autonomous manner. Full neuroprotection requires both mechanisms: neuronal survival is only completely rescued when ataxin-2 is reduced in the context of neuron-astrocyte co-cultures. Importantly, ataxin-2 downregulation protects against both TDP-43 gain-of-function and loss-of-function toxicity, broadening its therapeutic relevance. Collectively, our findings reveal novel mechanisms by which ataxin-2 orchestrates adaptive metabolic resilience and establish ataxin-2 as a regulator of stress-adaptive response in brain cells under the conditions of stress.

neuroscience↗

bioRxiv2025

Thermal boundaries and underlying systems biology mechanisms in two waterbloom cyanobacteria

Climate change and recent heatwaves have elevated temperature to the level of nutrients in driving CHABs. In this new dimension of CHABs ecology, it is important to understand the thermal boundaries of each blooming species. One well-known example is the temporal and thermal partitioning between filamentous, nitrogen-fixing taxa such as Dolichospermum spp. and Pseudanabaena spp., which dominate in spring, and colonial/coccoid Microcystis aeruginosa, which predominates in summer and autumn. Here we show that Dolichospermum sp. and M. aeruginosa display converse temperature-growth relations, Dolichospermum sp. grows better at low temperatures (13-15{degrees}C) and M. aeruginosa grows better at high temperatures (29-31{degrees}C), with similar growth rates between 18 and 25{degrees}C. This thermal separation is sustained by systems-level changes, in terms of the macromolecule contents--proteins, ATP, carbohydrates, and lipids--and transcriptome and metabolic fluxes to critical unsaturated fatty acids, which were experimentally verified by supplementing these FAs. The gene regulatory and systems biology mechanisms are explored. Through homologous and evolutionary analyses, a conserved Hik34-Rre1-RpoD cascade underlying differential temperature-responsive gene regulation. Enzyme-constrained metabolic models reproduced genus-specific lipid shifts and uncovered contrasting flux reorganizations under thermal stress. Together, these results establish the metabolic and regulatory foundations that shape the distinct thermal niches of bloom-forming cyanobacteria, providing mechanistic insight into how climate warming may restructure their seasonal dominance.

systems biology↗

bioRxiv2025

Epithelial FOXP3 Drives Pancreatic Fibrosis through O-glycosylated IL-6

BACKGROUND & AIMSThe transcription factor FOXP3, known for specifying regulatory T cell fate, is unexpectedly expressed in the epithelium of precancerous pancreatic lesions. Here we investigate its non-immune role in initiating pancreatic fibrosis, a process driving therapeutic resistance and organ failure in pancreatic ductal adenocarcinoma (PDAC) with unknown origins in early neoplasia. METHODSUsing human tissues and genetically engineered mouse models, we analysed FOXP3 expression in premalignant lesions. We employed epithelial-specific FOXP3 knockout and knock-in strategies to determine its functional impact on fibrogenesis and neoplasia progression. Mechanistic studies included chromatin immunoprecipitation, glycomic analyses, and signalling assays. RESULTSFOXP3 was consistently expressed in the epithelial compartment of human and murine precancerous pancreas. Epithelial-specific deletion of FOXP3 attenuated pancreatic fibrosis and delayed neoplasia, whereas its knock-in induced spontaneous stromal activation and accelerated PanIN progression. Mechanistically, epithelial FOXP3 directly transactivated the glycosyltransferase GALNT1. GALNT1, in turn, mediated O-glycosylation of interleukin (IL)-6, which was essential for its rapid secretion. CONCLUSIONSOur study establishes epithelial-derived FOXP3 as a master regulator of early pancreatic fibrocarcinogenesis. It drives a glycosylation-dependent amplification loop for IL-6 signalling, orchestrating sustained stromal activation. This pathway represents a promising target for intercepting pancreatic fibrosis and carcinogenesis at its origin.

cancer biology↗

bioRxiv2025

The impact of incomplete taxon sampling on inference of gene flow by Bayesian and summary methods using genomic sequence data

Interspecific gene flow is commonly inferred using genomic data under the multispecies coalescent (MSC) model. The rate of gene flow is measured by the expected proportion of immigrants in the recipient population at the time of hybridization/introgression. Incomplete taxon sampling can impact inference of gene flow in multiple ways. First unsampled ghost lineages that are sources of introgression may mislead inference of gene flow in analysis of genomic data from modern species. Second incomplete taxon sampling causes merges of branches on the species phylogeny, which represent populations of different sizes, and complicates the definition and estimation of the introgression probability. We use mathematical analysis and computer simulation to examine the impact of incomplete taxon sampling on inference of gene flow and estimation of its rate using genomic data. We introduce a Bayesian testing approach to select models of gene flow for a species triplet (such as inflow, outflow, and ghost introgression), using the Savage-Dickey density ratio to calculate Bayes factors. We show that the approach has excellent power and specificity. We find that genomic data allow reliable estimation of the proportion of immigrants (rather than the number of immigrants), even when the assumed demographic model is incorrect due to incomplete taxon sampling. When population size differs among species, assuming the same size may lead to seriously biased estimates of the rate of gene flow. The f -branch approach is found to be effective in reducing the number of significant gene-flow events from triplet analyses, providing useful hypotheses for rigorous testing, but often to produce underestimates of the rate of gene flow. Our results highlight the need for improving summary methods to accommodate different population sizes and to infer gene flow between sister lineages.

genomics↗

bioRxiv2025

Assessing molecular, cellular and transcriptomic bases of laminar perfusion and cytoarchitecture coupling in the human cortex

Understanding how cellular architecture organizes cortical function requires mesoscopic approaches that resolve structure-function coupling in vivo. Here we introduce cerebral blood flow (CBF) and cell-body staining intensity (CSI) similarity index (CCSI), a localized similarity index between the CBF estimates from ultra-high-field 7T arterial spin labeling images and CSI from the BigBrain histology images to serve as a quantitative marker of laminar perfusion-cytoarchitecture coupling. CCSI revealed a reproducible, region- specific alignment between laminar vascular and cellular profiles across the cortex. Going beyond CBF, CCSI selectively tracked mitochondrial respiratory capacity and colocalized with capillary endothelial and mature non-myelination oligodendrocyte populations forming neurovascular interfaces. Transcriptomic enrichment highlighted pathways related to vascular remodeling, oxidative metabolism, and lipid-myelin homeostasis, indicating that CCSI reflects integrated metabolic-structural specialization. At the systems level, CCSI strengthened structure-function gradient correspondence in transmodal cortices, such as the default mode network. Together, these findings establish CCSI as a physiologically grounded, non-invasive marker of perfusion-cytoarchitecture alignment, providing a cross-scale framework linking cortical microstructure, metabolism, and functional organization.

neuroscience↗

bioRxiv2025

Characterizing Variants of Uncertain Drug Resistance (VUDRs) Using Quantitative Measurements at Clinical Exposures

Somatic missense mutations in oncogenes drive resistance to anticancer drugs, yet many variants remain clinically uncharacterized. Analogous to Variants of Uncertain Significance (VUS) in genetic disorders, these Variants of Uncertain Drug Resistance (VUDRs) in cancer lack the functional annotation needed to guide clinical management. Here, we applied a standards-driven deep mutational scanning platform that connects quantitative concentration-response measurements to human pharmacokinetics across 4922 missense variants (>96% coverage) at approved (400 mg QD) and investigational (400 mg and 500 mg BID) human doses of imatinib. Resistance phenotypes for 18 standards spanning 2 orders of magnitude of drug sensitivity showed strong quantitative performance and clinical concordance. Analyzing 257 clinical VUDRs, >10% conferred modest levels of resistance that might be overcome by dose escalation with generic imatinib instead of a branded alternative, potentially alleviating financial toxicity. Integration with global germline data also revealed ancestry-specific variants with the potential to create private VUDRs. These preclinical data establish the first generalizable framework for high throughput resistance variant classification directly tied to known human doses.

bioengineering↗

bioRxiv2025

Development of an efficient PEG-Mediated protoplast transformation system for the medicinal fungus Ophiocordyceps xuefengensis

Ophiocordyceps xuefengensis is a newly identified medicinal fungus with significant pharmacological and economic value, but its genetic manipulation has been impeded by the lack of an efficient transformation system. Here, we established the first stable and highly efficient polyethylene glycol (PEG)-mediated protoplast transformation platform for O. xuefengensis using hygromycin B as a selectable marker. Through systematic optimization of critical parameters such as enzyme composition, enzyme concentration, mycelial age, and digestion conditions, we developed an optimized protocol for protoplast preparation. A high protoplast yield of 9.42x107 CFU/mL was achieved using 4-day-old mycelia with 1.5% lywallzyme 1 and 1.5% snailase digested at 34{whitebullet}C with shaking at 130 rpm for 3.5 h. PY medium containing 0.6 M mannitol significantly enhanced protoplast regeneration. Stable plasmid integration and robust hygR gene expression were confirmed through PCR detection and sustained antibiotic resistance over four successive generations. Furthermore, a controllable expression system was established by using the endogenous promoter that drove the stable expression of the glycoside hydrolase gene cbhI. The result of enzymatic assay confirmed the functional production of CBHI enzyme, demonstrating the credibility of this system. This work provides a reliable genetic toolbox for functional genomics studies, targeted gene manipulation, and strain engineering in O. xuefengensis, facilitating fundamental research and sustainable utilization of this valuable medicinal species. IMPORTANCEThe conservation and sustainable utilization of medicinal fungi represents a critical challenge in biotechnology and natural product research. Ophiocordyceps xuefengensis, a newly identified species with significant pharmacological potential, exemplifies this challenge: its wild resources are diminishing while artificial cultivation remains restricted by limited understanding of its fundamental biology. The lack of genetic tools has impeded progress in elucidating its biosynthetic pathways, regulating fruiting body development, and enhancing metabolite production. We established a highly efficient PEG-mediated transformation system that directly addresses this technological gap. In addition, we demonstrated that this transformation system can support heterologous gene expression using endogenous promoters. This platform enables reliable genetic manipulation in O. xuefengensis, permitting functional genomics studies and targeted bioactive compounds synthesis.

microbiology↗