Biology subjects

Kim, D.

Publications and source records attributed to Kim, D..

At least 55 records · Page 3Linked to original sources

bioRxiv2026

SpikeCleaner: An Algorithm to Label Unit Quality After Automated Spike Sorting

GapAutomated spike sorting algorithms have revolutionized the way neuronal activity is extracted from extracellular recordings, yet they remain imperfect. Specifically, inaccurate acceptance of noise-based units not only leaves researchers with clusters that require extensive manual curation, an essential but time-consuming process, that also leads to significant subjectivity in the selection of units. In an era of high-density probes like Neuropixels, where an hour of data can exceed 80 GB, manual curation is no longer scalable, automation of standard criteria can speed data curation and ensure quality of datasets. Here, we developed a semi-automated curation pipeline to label the quality of units after automated curation by Kilosort. ApproachOur algorithm standardizes criteria for labeling of Noise, Multi-Unit Activity (MUA), and Good Units using a combination of spike rate, spike timing metrics (from autocorrelogram), and waveform-based physiological features such as peak amplitude, slopes, half-width, and inter-channel correlation. Based on these features, clusters are assigned standardized labels (good, noise, multi-unit activity) that can be imported directly into Phy, where they serve as curation aids rather than absolute classifications, supporting but not replacing expert judgment. Heuristically, "noise" units are those unlikely to be neuronal in origin; "MUA" includes units with significant neural contribution (i.e., neuronal waveform) but with some degree of clear imperfection to be further cleaned, and "good" units are those without any clear deviation from ideal unit criteria. By ensuring accurate selection of acceptable units, we enable robust downstream analyses such as neural decoding and longitudinal tracking of neuron identity. Thresholds for all metrics were chosen to maximize the matching of algorithm output to that of 2 expert manual curators. Of note, users may alter thresholds either based on their own judgment or using an included tool to semi-automatically find thresholds that optimize SpikeCleaner with their own expert curation. ResultsTo benchmark, we compared the outputs of our algorithm to expert-labels curated in Phy by two expert users across three recordings. SpikeCleaner achieved an average of 97% accuracy vs. experts & 92% F1 score in classifying Single Units. It achieved an accuracy of 97% & 92% F1 score in full-category agreement (SU, MUA, Noise), and 97% accuracy & 95% F1 score in distinguishing Neuronal vs. Non-Neuronal units.

neuroscience↗

bioRxiv2026

Physics-Driven Zero-Shot Reconstruction of Isotropic 3D Fluorescence Microscopy under Undersampled Acquisition

Three-dimensional (3D) imaging represents the development of next generation of fluorescence microscopy. However, routine axial down-sampling makes isotropic resolution unrealistic. Here, we propose DeepUI, a physical zero-shot framework designed to achieve isotropic 3D fluorescence images from a low axial sampling rate. DeepUI fully leverages the intrinsic characteristics of 3D images through physics-guided degradation, which incorporates spatial-frequency joint learning to generate a scaled optical transfer function, combined with noise degradation and an up-sampling branch. Typically requiring just 5 minutes for training and 0.5 minutes for high-throughput and fast prediction, we demonstrate the superior performance of DeepUI to get isotropic results, and the exclusivity to axial down-sampling conditions, even in more challenging conditions, including defocused background, noise, and resolution blur.

bioinformatics↗

bioRxiv2026

PETase Kubu enables near-complete enzymatic depolymerization of commercial PLA/PBAT blend mulch film

Agricultural mulch films improve crop productivity, but post-use recovery and recycling remain difficult because the films are thin, fragmented, dispersed across fields, and contaminated. Commercial PLA/PBAT blends are increasingly used as biodegradable mulch film materials, yet these films exhibit slow or incomplete degradation under environmental conditions. Here, we show that Kubu, a thermostable PETase from Kutzneria buriramensis, rapidly depolymerizes commercial PLA/PBAT mulch film without pretreatment at 60 {degrees}C, achieving 95% mass loss within 96 h and releasing terephthalate, adipate, and lactate, detected by LC-MS/MS and HPLC, as the major monomeric products of both PBAT and PLA components. GPC and SEM revealed extensive degradation at the polymer-water interface. DiffDock docking against Kubu, IsPETase, and TfCut indicates that the canonical W/F(Y) cleft of the PETase/Cutinase fold accommodates aliphatic and aromatic ester bonds with comparable geometry, suggesting that substrate promiscuity is an inherent property of the cleft architecture. Kubus distinctive contribution combines this permissive cleft with catalytic activity sufficient for near-complete blend depolymerization within 24 h. Integration with a socioeconomic analysis shows that complete enzymatic depolymerization could avoid social costs up to $4,087 per ton of mulch film. These findings establish a single-enzyme approach to end-of-life management of heterogeneous polyester blends.

bioengineering↗

bioRxiv2026

The genomic basis of evolutionary stasis in the 500-million-year-old red seaweed genus Ahnfeltia

The red seaweed genus Ahnfeltia is an ancient lineage that has persisted for over 500 million years with remarkably limited diversification despite a global distribution in cold-temperate intertidal habitats. Compared to the highly diverse sister lineage, Rhodymeniophycidae, Ahnfeltia provides a unique system for investigating long-term evolutionary persistence in marine macroalgae. Here, we generated chromosome-scale genomes from five populations across three species and combined population genomics with paleogeographic niche modelling. Our results reveal remarkable genomic conservation, strong geographic isolation with limited gene flow, high homozygosity, and evidence of purifying selection. Niche projections indicate long-term stability and spatial connectivity of suitable cold-temperate habitats. These findings suggest that Ahnfeltias persistence and limited diversification are linked to genomic constraints and stable ecological niches over geological timescales. This study provides new insights into the genomic basis of evolutionary stasis in ancient marine lineages and highlights potential vulnerability to ongoing climate change affecting cold-water coastal ecosystems.

evolutionary biology↗

bioRxiv2026

Systematic Evaluation of Signal Peptide-Driven Protein Secretion in the Fast-Growing Cyanobacterium Synechococcus sp. PCC 11901

The fast-growing cyanobacterium Synechococcus sp. PCC 11901 is emerging as a promising chassis for photosynthetic biomanufacturing. Here we report recombinant protein production in PCC 11901 via signal peptide-mediated secretion, enabling direct recovery of target proteins from the culture medium without cell disruption. Seven signal peptides spanning both Sec and Tat pathways are screened using eYFP as a reporter, with secretion quantified daily over seven days by fluorescence measurements. FutA, belonging to the Tat pathway from Synechocystis sp. PCC 6803, achieves 92.2% extracellular export by day 7, substantially outperforming all Sec candidates, including the best Sec signal peptide thermitase from Cyanobacterium aponinum PCC 10605 (55.7%). Signal peptide-bearing strains exhibit growth reductions of up to 26% relative to the wild-type, with FutA most affected, indicating a general metabolic cost correlated with secretion efficiency. The best-performing signal peptides from both pathways, FutA and thermitase, are validated with secretion of lichenase. Notably, the rank order of signal peptide performance is reversed for lichenase: thermitase demonstrates 2.6-fold higher extracellular activity than FutA, indicating that optimal signal peptide selection is cargo-dependent. These results establish PCC 11901 as a secretion-competent chassis and provide a rational framework for matching signal peptide pathways to target protein properties.

bioengineering↗

bioRxiv2026

Structures of Cas9-Bound Double-Stranded DNA Mini-Circle Reveal Impacts of DNA Shape on Cas9 Target Interrogation

CRISPR-Cas9 is an RNA-guided endonuclease that cleaves double-stranded DNA at specific sites and has been adapted as a powerful tool for genome manipulation. Cas9 recognizes its target through multiple conformational transitions coordinated between the Cas9 ribonucleoprotein and the DNA duplex. Such transitions, and consequently Cas9 targeting specificity, are expected to be significantly influenced by the collective duplex physical properties referred to as DNA shape. To advance our currently limited understanding of the interplay between DNA shape and Cas9 target interrogation, we solved two cryo-EM structures of SpyCas9 bound to a cognate target embedded in a relaxed 95-base-pair DNA double-stranded minicircle. The Cas9-bound DNA segment engages in similar interactions involved in PAM-binding and R-loop initiation as those observed in Cas9-bound linear DNA. However, R-loop is limited to less than three base-pairs, thus interfering with Cas9 cleavage. The minicircle DNA, which is fully resolved, retains its global shape. As Cas9 locally unwinds the protospacer, the closed-ring topology constrains the movement of the paired PAM-distal DNA duplex, thus interfering with R-loop propagation. These data provide detailed insight into the interplay between DNA shape and Cas9 structure and function, and may shed light on genome-editing and manipulation in environments with varied DNA topologies.

biophysics↗

bioRxiv2026

Cryo-EM Structure of a 95-Basepair Double-Stranded DNA Minicircle at 5.3 A Resolution

Double-stranded DNA minicircles have been observed in a variety of biological settings and are also widely employed in biotechnology, therapeutic applications, and basic research. Here, we report a cryo-EM structure of a 95-basepair minicircle (dsMC95) at a 5.3 [A] resolution. dsMC95 forms a closed ring as designed and no local deformation is observed. The two DNA strands are fully resolved, with the major and minor grooves clearly distinguishable. Analysis reveals a nine-fold periodicity in the helical twist, which corresponds to approximately 10.56 base pairs per turn. Together with groove width analysis, the data indicate that dsMC95 maintains a B-DNA configuration. The dsMC95 ring exhibits an in-plane ellipticity of 1.13 and an out-of-plane displacement of 15{degrees}, with differences in out-of-plane displacements observed between the two half-segments. The dsMC95 structure, which is the only free DNA cryo-EM structure with a resolution better than 6 [A] to date, allows comparison to other structures to better understand DNA physical features such as bending. The findings advance our understanding of DNA structure under topological constraints and may inform studies of naturally occurring small circular DNA as well as the manipulation of DNA in nanotechnology applications.

biophysics↗

bioRxiv2026

Immunometabolic Remodeling of Perivascular Adipose Tissue in Murine Lupus: Implications for Lupus Vasculopathy

BackgroundPatients with systemic lupus erythematosus (SLE) face markedly increased cardiovascular disease (CVD) risk driven by mechanisms beyond traditional risk factors. Thoracic aortic perivascular adipose tissue (tPVAT) is dysfunctional in lupus and exacerbates endothelial dysfunction, yet the molecular basis of this dysfunction remains poorly defined. MethodsIntegrated multi-omics profiling, including bulk RNA-seq, untargeted proteomics, lipidomics, and high-dimensional spectral flow cytometry, was performed on tPVAT from 15-week-old MRL/lpr mice (active lupus, n = 4-6) and MRL control mice (n = 5-6). Adipogenic differentiation capacity of tPVAT adipose stromal and progenitor cells (ASPCs) from MRL/lpr was assessed by Oil Red O staining at 5 (pre-dieasea) and 15 weeks (active disease), with subcutaneous ASPCs used as depot controls. ResultsTranscriptomic profiling of tPVAT from MRL/lpr mice identified 2,742 upregulated and 1,494 downregulated genes (adjusted p < 0.001, |log2FC| > 1), with strong activation of interferon, IL6-JAK-STAT3, and TNFA signaling pathways together with suppression of fatty acid metabolism, oxidative phosphorylation, and adipogenic pathways. Proteomic and lipidomic analyses were concordant, revealing broad downregulation of mitochondrial bioenergetic machinery, depletion of cardiolipin and acylcarnitines, and enrichment of ceramide phosphoinositols and lysophosphatidylcholines. Cardiolipin strongly correlated with the mitochondrial/metabolic protein module (r = 0.95) and inversely with the immune/inflammatory protein module (r = -0.92). Spectral flow cytometry confirmed marked CD45+ leukocyte infiltration dominated by T cells, together with a significantly reduced Treg/CD4+ ratio indicating loss of local immunoregulatory balance. ASPCs derived from PVAT of 15-week-old MRL/lpr mice exhibited impaired white and beige adipogenic differentiation, while APCs from PVAT of 5-week-old MRL/lpr mice, and from subcutaneous adipose tissues of 15-week-old MRL/lpr mice, had normal white and beige differentiation, consistent with an acquired, depot-specific, disease-stage-dependent progenitor defect in PVAT of MRL/lpr mice. ConclusionsLupus tPVAT undergoes a concordant cross-platform molecular reprogramming of mitochondrial bioenergetic genes coupled with establishment of an interferon-dominant immune niche and acquired loss of ASPC adipogenic capacity. These findings provide a molecular framework for lupus PVAT dysfunction and identify restoration of mitochondrial function, suppression of interferon-driven inflammation, and renewal of progenitor differentiation as potential therapeutic strategies for lupus vasculopathy.

molecular biology↗

bioRxiv2026

Systematic profiling of WD40 proteins reveals Wcp1, a cyclophilin linking CO2/heat tolerance to acidic pH adaptation in Cryptococcus neoformans

WD40 domains are major protein-protein interaction (PPI) scaffolds, yet their contributions to fungal pathogenicity remain poorly defined. We systematically analysed 94 canonical WD40 proteins in Cryptococcus neoformans. Conditional knockdown and sporulation identified 36 essential WD40 proteins, while in vitro and in vivo profiling of 103 signature-tagged deletion strains spanning 52 genes uncovered 31 pathogenicity-related WD40 proteins, including epigenetic and post-transcriptional regulators. We identified Wcp1, a dual-domain protein whose WD40-repeat and cyclophilin domains are required for growth at 37{degrees}C under 5% CO2. Its WD40 scaffold and PPIase domain supported CO2/heat tolerance and virulence. Notably, Wcp1 couples these functions to acidic pH adaptation: wcp1{Delta} failed to grow under elevated temperature and CO2 at acidic pH, exhibited enhanced intracellular acidification, reduced macrophage survival and attenuated virulence in Drosophila and mice. Integrated transcriptomic and proteomic analyses place Wcp1 at the centre of intracellular pH homeostasis, coordinating proton transport, metabolic adaptation and stress-buffering networks.

microbiology↗

bioRxiv2026

Bidirectional modulation of pain by neurofeedback: Preliminary findings with fMRI at 7T

Previous brain decoding studies indicate that an individuals pain experience can be robustly predicted from distributed patterns of brain activity. Two brain decoders have notably been associated respectively with the nociceptive and cognitive aspects of pain experience, the Neurologic Pain Signature (NPS) and the Stimulus-Intensity Independent Pain Signature (SIIPS). Yet, we still do not know if these brain patterns are also causally related to pain experience. To evaluate this possibility, we used high-field (7-Tesla) fMRI to test whether humans can alter their pain experience by bidirectionally modulating their pain-related brain activity in decoded neurofeedback paradigm. In a double-blind design, participants were trained to up- and down-regulate the NPS or the SIIPS. Our results indicate that participants can achieve bidirectional control of both signatures. NPS expression reliably increased during pain stimulation and covaried with both stimulus intensity and subjective ratings. In contrast, SIIPS expression did not show consistent stimulus-locked effects in the primary analyses. Importantly, reduction in pain rating was specific for SIIPS-training, whereas NPS has failed to show any consistent behavioral effect. Based on these preliminary findings, we hereby preregister a follow-up study, with specified rationale, hypotheses, experimental design, and analysis protocols.

neuroscience↗

bioRxiv2026

Identifying Context-Specific Cell-Cell Interaction Genes Without Ligand-Receptor Databases from Spatial Transcriptomics

Current approaches to inferring cell-cell interactions (CCIs) are largely constrained by predefined ligand-receptor databases, particularly for low-resolution spatial transcriptomics (ST) platforms such as Visium. Due to the difficulties in accurately resolving interacting cells at coarse spatial resolution, other modes of interaction are often overlooked. Low-resolution ST data, however, can serve as an alternative to high-resolution ST, which suffers from low sensitivity, and to image-based ST, which is limited by restricted gene panels. Here, we present CellNeighborEX v2, a database-free framework that directly infers CCI-associated genes from ST data by detecting deviations between observed and expected gene expression at the spot-population level. These deviations are rigorously evaluated through a hybrid statistical framework involving permutation testing and are further refined by considering the abundance of interacting cell-type pairs. Compared with other conventional approaches relying on ligand-receptor databases, CellNeighborEX v2 can capture CCI genes from a broad spectrum of interactions, including both paracrine signaling and contact-dependent communication. Across datasets from hippocampus, liver cancer, colorectal cancer, ovarian cancer, and lymph node infection, CellNeighborEX v2 accurately recapitulated previously identified CCIs. Notably, it uniquely detected interactions absent from existing ligand-receptor databases, enabling detection of context-specific CCIs from Visium data. CellNeighborEX v2 is a tool that expands the analytical spectrum of Visium data and deepens our understanding of the molecular language of intercellular communication.

bioinformatics↗

bioRxiv2026

3DBrainOne: an integrated end-to-end platform for 3D histological analysis of whole mouse brains

Three-dimensional (3D) whole-organ imaging and analysis at cellular resolution (termed 3D histology) provide profound insights into the organization and interactions of cells throughout organs. However, the quantitative analysis of these massive datasets remains a significant bottleneck due to the lack of integrated, user-friendly tools. Here, we present 3DBrainOne, an end-to-end ImageJ plugin that streamlines the essential 3D histological analysis of the mouse brain--from raw image preprocessing to region-wise quantification--within a single platform. 3DBrainOne features a robust whole-brain cell-counting module that uses a Difference-of-Gaussians (DoG) blob detection algorithm followed by a ResNet18-based deep learning classifier, enabling high-fidelity automatic whole-brain cell counting with a graphical user interface (GUI) for visual inspection and manual curation of analysis results. 3DBrainOne also supports multi-channel colocalization analysis. Furthermore, this platform includes modules for atlas alignment and brain-region-wise volumetric quantification, enabling brain region-resolved cell counting and structural analyses. As an ImageJ plugin, 3DBrainOne is compatible with a range of operating systems and hardware. In summary, 3DBrainOne is an integrated, versatile, and easy-to-use platform that will facilitate 3D histological analyses in experimental neuroscience.

neuroscience↗

bioRxiv2026

Condition-Dependent Noise Correlations without Condition-Dependent Spike Counts

The ability of the brain to encode information and control behavior depends on the coordinated activity of large and distributed neuronal populations. Correlations in neuronal spiking activity across trials of the same condition, or noise correlations (NCs), have been interpreted as a reflection of shared synaptic connectivity and as a contributing factor to the information capacity of neuronal populations. The impact of NCs on coding is most often considered in populations of neurons exhibiting robust condition-dependent information in their spike counts (SCs). However, theoretical work suggests that NCs could provide a source of condition-dependent information separate from SCs. We examined the activity of large neuronal populations in prefrontal cortex of macaques while they performed a spatial delayed response task composed of visual, memory, and motor epochs. We found that pairs of neurons that displayed visual, memory, and motor selectivity in their SCs often exhibited selectivity in their NCs, independent of spike count. However, we also found that pairs of neurons without SC selectivity during the different task epochs nonetheless exhibited condition-dependent NCs. Moreover, we found that the prevalence of condition-dependent NCs were largely comparable across neuronal pairs with or without SC selectivity. These results demonstrate that correlated variability in spiking activity can be condition-dependent even in the absence of condition-dependent SCs.

neuroscience↗

bioRxiv2026

Cerebellar induced VTA plasticity underlies chronic stress-induced depression-like behaviors

Synaptic regulation is a key mechanism underlying neural circuit homeostasis and plasticity. We previously showed that projections from the deep cerebellar nuclei (DCN) to the ventral tegmental area (VTAp-DCN neurons) contribute to depression-like behaviors following chronic restraint stress (RS), but the mechanisms by which these outputs induce downstream long-term functional changes remain unknown. Here, we show that chronic RS induces an activity-dependent reduction in vesicular glutamate transporter 2 (VGLUT2) expression in VTAp-DCN axons, resulting in decreased miniature excitatory postsynaptic current frequency in dorsolateral VTA dopaminergic neurons and reduced phasic dopamine release in the nucleus accumbens. Notably, VGLUT2 reduction temporally coincides with the emergence of depression-like behaviors. Consistent with this, targeted VGLUT2 overexpression in VTAp-DCN neurons rescues synaptic transmission and dopamine signaling and prevents depression-like behaviors following chronic RS. These findings reveal a stress-induced plasticity mechanism in the cerebellar-VTA circuit linking chronic stress to depression-like behaviors.

neuroscience↗

bioRxiv2026

Microbiome-derived hydroxyphenyl propanoates enhance antitumour immunity by potentiating gasdermin D activity in tumour-associated myeloid cells

The microbiome plays a critical role in immune health and response to immune-stimulating treatments, including cancer immunotherapy. However, the molecular mechanisms by which commensal microbes influence cancer immunology remain poorly understood. Here, we report a class of microbiome-derived metabolites called hydroxyphenyl propanoates (HPP) that enhance tumour immune surveillance and response to immune checkpoint blockade (ICB) therapy in mice. HPPs function as potentiators of innate immune signalling in tumour-associated myeloid cells by promoting cleavage of the pore-forming protein gasdermin D (GSDMD), a critical effector of inflammasome function. This enhances the secretion of proinflammatory cytokines, such as IL-1 family members, while simultaneously protecting against pyroptosis. Secreted IL-1 family cytokines in turn elicit autocrine and paracrine inflammatory signaling in tumour-infiltrating leukocytes. HPP supplementation increases anticancer T cell function, improves disease control and extends overall survival (OS) in tumour-bearing mice harboring complex microbiomes or those treated with broad-spectrum antibiotics. In humans, GSDMD activation is associated with a favourable response to PD-1 blockade therapy in patients with advanced stage melanoma. Our study uncovers a molecular mechanism of regulation over host antitumour immunity that is modifiable and can be harnessed for improved cancer immunotherapy in a broad spectrum of patients.

cancer biology↗

bioRxiv2026

Third Harmonic Generation Microscopy Reveals Structure and Mucus Dynamics in Human Airway Epithelium Models

Airway epithelium plays a major role as the primary interface between human body and the external environment, acting both as a physical and functional barrier. In vitro airway models that reproduce the epithelium architecture are therefore a valuable tool for studying infection, inflammation, and transport processes. In this work, we present a label-free, non-invasive method to visualize and measure mucociliary transport in air-liquid human models using third-harmonic generation (THG) microscopy with an optical parametric amplifier laser source at 1300 nm. By exploiting the intrinsic nonlinear contrast at optical heterogeneities, THG provides high-resolution images of both epithelial structures and of the overlying mucus layer without the need for fluorescence staining or sample processing. Time-lapse THG imaging reveals depth-dependent transport dynamics within the mucus, offering new insights into mucociliary transport mechanism. Our approach offers a physiologically relevant way to assess mucociliary function in vitro and could support studies on respiratory diseases, drug delivery and efficacy, and epithelial remodeling. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=117 SRC="FIGDIR/small/717621v1_ufig1.gif" ALT="Figure 1"> View larger version (52K): org.highwire.dtl.DTLVardef@62e8acorg.highwire.dtl.DTLVardef@199a8b7org.highwire.dtl.DTLVardef@113bb84org.highwire.dtl.DTLVardef@7be3f8_HPS_FORMAT_FIGEXP M_FIG For Table of Contents Only C_FIG

biophysics↗

bioRxiv2026

Phagocytic Clearance of SARS-CoV-2 Nucleocapsid- and RNA-Containing Immune Complexes Drives Inflammatory Cytokine Production and Endothelial Dysfunction

The aberrant inflammation that characterizes severe COVID-19 is incompletely understood. Given the persistence of SARS-Cov-2 RNA and nucleocapsid protein (N) and the presence of anti-N antibody during the course of severe infection, we investigated the role of RNA-containing immune complexes (ICs) in driving inflammation. We found that ICs consisting of SARS-CoV-2 RNA, N, and anti-N IgG1 are internalized by primary human monocytes and stimulate inflammatory cytokines and chemokines in a manner dependent on Fc{gamma} receptors and partially dependent on toll-like receptor-8. In addition, the inflammatory response induced in monocytes by RNA-containing ICs caused endothelial dysfunction in vascularized micro-organs. Using nasopharyngeal samples from SARS-CoV-2-infected individuals, SARS-CoV-2 RNA and N were captured by anti-N monoclonal antibody in the absence of lysing reagents, indicating that SARS-CoV-2 RNA and N complexes are present outside of virions and cells. Finally, we found that during an early wave of COVID-19, higher anti-N IgG:IgM ratios were associated with more severe clinical outcomes, consistent with a role for inflammatory, IgG-mediated phagocytic clearance of nucleic acid-containing ICs in SARS-CoV-2 pathogenesis, perhaps mitigated by non-inflammatory, IgM-mediated clearance. We conclude that RNA-containing ICs may play a role in the pathogenesis of severe COVID-19. Since all pathogenic viruses encode nucleic acid-binding proteins, such as N, and these proteins often elicit an antibody response, inflammatory clearance of nucleic acid-containing ICs may also contribute to disease severity in other viral infections.

immunology↗

bioRxiv2026

Epigenomics identifies three sources of DNA methylation in Streptococcus mutans UA159

DNA methylation is a widespread but incompletely characterized regulatory feature of bacterial genomes. While restriction-modification systems represent well-studied sources of DNA methylation, the full complement of methyltransferases shaping bacterial epigenomes and their physiological consequences remain poorly understood. Here, we used Oxford Nanopore sequencing to comprehensively map DNA methylation in the model oral pathogen Streptococcus mutans UA159. Genome-wide analysis identified extensive N6-methyladenosine (6mA) modification and revealed three predominant methylation motifs. Using targeted deletion mutants, we demonstrate that methylation at GATC sites is mediated by the conserved DpnII restriction-modification system, while a novel bipartite CGANNNNNNNTCY/RGANNNNNNNTCA motif is methylated by the HsdM component of the type I Hsd restriction-modification system. The remaining 6mA sites corresponded to a CTGNAG/CTNCAG motif, defining the activity of a third methyltransferase. Genetic and epigenomic analyses identified SMU.43 as the enzyme responsible for this modification, which we designate DnmA, a novel orphan adenine methyltransferase with homology to regulatory methyltransferases rather than defense-associated systems. Functional characterization of single and double mutants revealed that distinct methylation systems differentially influence biofilm formation and antagonistic interactions with the commensal, Streptococcus sanguinis. Notably, loss of dnmA reversed biofilm and aggregation defects associated with deletion of dpnII, indicating epistatic interactions between methylation pathways. Together, this study resolves the major sources of DNA methylation in S. mutans UA159, identifies a novel regulatory methyltransferase, and highlights the utility of nanopore sequencing for bacterial epigenome discovery. These findings expand our understanding of bacterial DNA methylation and suggest that epigenomic enzymes may represent targets for modulation of microbial physiology and virulence.

microbiology↗