Biology subjects

Li, C.

Publications and source records attributed to Li, C..

At least 271 records · Page 15Linked to original sources

bioRxiv2025

ProtLoc-GRPO: Cell line-specific subcellular localization prediction using a graph-based model and reinforcement learning

Subcellular localization prediction is crucial for understanding protein functions and cellular processes. Subcellular localization is dependent on tissue and cell lines derived from different cell types. Predicting cell line-specific subcellular localization using the information of protein-protein interactions (PPIs) offers deeper insights into dynamic cellular organization and molecular mechanisms. However, many existing PPI networks contain systematic errors that limit prediction accuracy. In this study, we propose a reinforcement learning approach, ProtLoc-GRPO, to enhance subcellular localization prediction by optimizing the structure of the underlying PPI network. ProtLoc-GRPO learns to rank and retain the most informative PPI edges to maximize the macro-F1 score for cell line-specific subcellular localization. Our approach yields a 7% improvement in macro-F1 score over the baseline. We further evaluate its robustness across various edge pruning rates and benchmark it against conventional pruning strategies. Results show that our proposed method consistently outperforms existing approaches. To our knowledge, this work represents the first study to predict cell line-specific protein subcellular localization and the first application of the Group Relative Policy Optimization (GRPO) framework to a graph-based model for bioinformatics tasks.

bioinformatics↗

bioRxiv2025

NTM-DB: A Comprehensive Non-Tuberculosis Mycobacteria Genomic Database

Non-tuberculous mycobacteria (NTM) are a major group of environmental bacteria, with approximately one-third of them causing serious human infections, particularly respiratory diseases. The global rise in the prevalence and severity of NTM infections has posed a major public health challenge. While high-throughput sequencing has generated vast genomic data on NTM, there remains a lack of comprehensive resources for cross-species genomic analysis. To address these limitations, we have developed a specialized database called NTM-DB (https://ngdc.cncb.ac.cn/ntmdb) tailored for NTM researchers and clinicians. NTM-DB offers the most comprehensive collection of NTM genomic and bioinformatic resources, including 16,469 genome assemblies (13,134 newly assembled genomes), 189 type/standard strain genomes representing 177 species and 12 subspecies, 705 MLST types, 33,240 resistance genes, and 74,315 virulence genes. A user-friendly interactive website has been constructed to enable efficient browsing, MLST profiling, searching, online analysis, and downloading of the aforementioned data. Notably, with online analysis tools, users can perform customized genotyping, cross-species phylogeny, pan-genome, and virulence and drug resistance gene annotation analyses using our data and/or their uploaded data. Overall, with its comprehensive data, intuitive interface, and powerful analysis tools, NTM-DB serves as an important resource and reference for NTM researchers and clinicians, improving diagnosis and treatment for various NTM-related diseases, and supporting both scientific discovery and clinical practice.

microbiology↗

bioRxiv2025

The Impact of New Urbanization on Quantity Increase and Quality Improvement of Green Innovation: Based on Multivariate Moderating Effect Models

New urbanization is a major national strategy that China has proposed and implemented. Whether new urbanization (NEU) can promote quantity increase and quality improvement of green innovation (GI) is a common concern of the government and scholars. This paper empirically analyzes quantity increase and quality improvement effects of new urbanization on urban GI by adopting the panel data of each city from 2011 to 2022. The study finds that new urbanization not only has a positive contribution to the quantity increase of GI in cities but also plays a positive role in the quality improvement of GI. Digital inclusive finance will further amplify the dividends of new urbanization and exert the GI effect. The interaction of digital inclusive finance and government support, informatization, regional economic development, and energy consumption also amplify the dividends of NEU and exert strong "quantity increase" and "quality improvement" effects on GI. The stronger the governments green support, the more conducive it is to new urbanization to further exert quantity increase and quality improvement effects on GI. The conclusions of this paper have important policy implications for further promoting the construction of new urbanization and GI.

ecology↗

bioRxiv2025

Germline de novo mutation rate of the highly heterozygous amphioxus genome

Germline de novo mutations (DNMs) are the ultimate source of heritable variation, yet their patterns in highly heterozygous genomes remain poorly understood. Amphioxus, an early-branching chordate with exceptionally high genomic heterozygosity (3.2[~]4.2% in sequenced species), offers a unique model to explore mutational dynamics in such contexts. It is unclear whether high heterozygosity in amphioxus is due to a large effective population size, an increased mutation rate, or both. Here, we perform deep short-read whole genome sequencing of a two-generation pedigree of the amphioxus Branchiostoma floridae comprising two parents and 104 offspring, and develop a framework based on allele-aware parental assemblies as the reference to accurately identify DNMs. We detect 205 high-confidence DNMs, yielding a genome-wide mutation rate of 5.10 x 10-9 per base per generation, which is comparable to that of vertebrates. Combining this estimate with observed nucleotide diversity, we obtain an effective population size of [~]1.9 million, indicating that the elevated heterozygosity mainly results from a large effective population size. We observe a maternal-origin bias when considering all DNMs but a paternal-origin bias for early-occurring ones. Amphioxus harbors a much smaller fraction of CpG>TpG DNMs relative to vertebrates, attributable to its low methylation levels. We also investigate putative post-zygotic mutations in the offspring, revealing an unexpected paternal-origin bias. These suggest some distinct mutational mechanisms in amphioxus. Our study not only provides the first DNM measurement for amphioxus but also offers a generalizable strategy for studying DNMs in highly heterozygous genomes, facilitating mutation rate studies across chordates and other lineages.

genomics↗

bioRxiv2025

Direct detection of meiotic recombination events in the highly heterozygous amphioxus genome

Amphioxus, a basal chordate with highly heterozygous genomes (3.2[~]4.2% in sequenced species), represents a key model for understanding vertebrate origins. However, the extreme heterozygosity poses challenges for many genomic analyses, including studying meiotic recombination. Here, we present a novel bioinformatic pipeline that enables direct detection of crossover (CO) and non-crossover (NCO) recombination events using short-read whole-genome sequencing of a two-generation pedigree (two parents and 104 F1 offspring) of the amphioxus Branchiostoma floridae. Using parental assemblies generated by Platanus-allee as a custom reference for read alignment, we tracked inheritance patterns in offspring and phased contig-level haplotypes in parents, allowing us to detect recombination events. We identified 2,329 paternal and 2,288 maternal COs, yielding recombination rates of 4.57 cM/Mb and 4.49 cM/Mb, respectively. We found CO coldspots spanning >140 Mb in each parent and these are likely associated with large-scale heterozygous inversions. CO rates were positively correlated with transposable element and gene density in both sexes, but showed weak or no correlation with GC content. We further identified [~]10,000 paternal and [~]5,800 maternal NCO events, predominantly shorter than 200 bp in tract length, and found evidence of GC-biased gene conversion. This work provides the first direct and genome-wide measurement of recombination in amphioxus and demonstrates how high heterozygosity, often considered a barrier, can be leveraged for fine-scale recombination mapping. Our findings illuminate conserved and divergent features of recombination in chordates and establish a framework for studying recombination in other highly heterozygous organisms.

genomics↗

bioRxiv2025

Host Microenvironment Reprogramming by Saccharides Overcomes Lung Barriers for mRNA Therapeutics

AbstractOvercoming biological barriers remains the paramount challenge for pulmonary mRNA therapeutics. Conventional approaches focus exclusively on passively optimizing formulation quality without controlling dynamic host barriers. Here, we pioneer a host-centric strategy by leveraging sugar that actively reprograms the airway microenvironment to boost IVT-mRNA transfection. Utilizing machine learning-accelerated screening of a chemically diverse saccharide library, we identify D-glucose as the best-performing candidate. Glucose assisted-delivery within lipid nanoparticles (Glu-LNP) achieves robust, lung-specific protein expression (up to 131.21-fold increase) across diverse preclinical models with reduced inflammation. In lung carcinoma models, Glu-LNP-encapsulated IL-12 mRNA reduced tumor burden by approximately 59.12% and improved survival by 2.5-fold compared to the LNP group. Mechanistically, glucose orchestrates a dual-pathway cascade: metabolic reprogramming via the Warburg effect elevates ATP, fueling endocytosis and translation; ATP further activates the P2Y2-IP3 signaling axis that triggers Ca2+ release and subsequent CLCA1/TMEM16A-dependent chloride/bicarbonate efflux, which remodels mucus barriers and enhances nanoparticle penetration. This bioenergetic and mucolytic host intervention strategy presents a broadly applicable paradigm to transcend delivery limitations for respiratory mRNA therapeutics.

bioengineering↗

bioRxiv2025

Stepwise Ligand Capture Primes PKR for Activation and RNA Discrimination

Protein Kinase R (PKR) triggers the innate immune response upon detecting double-stranded RNAs (dsRNAs). Its kinase activity is controlled by two dsRNA-binding domains (dsRBDs), yet how these dsRBDs operate during RNA ligand recognition and downstream signaling remains unresolved. Here, we uncover an unexpected interplay between the dsRBDs that orchestrates a two-step ligand sampling, ensuring accurate and efficient PKR activation. dsRBD1 surveys all RNA duplexes through one-dimensional diffusion but dissociates within milliseconds to minimize background signaling, while dsRBD2-RNA binding plays a key role in fostering kinase-kinase interactions. Upon encountering foreign dsRNAs, dsRBD2 arrests the diffusive dsRBD1, thereby establishing a scaffold essential for kinase dimerization and phosphorylation. By contrast, prevalent bulges and large internal loops in self-RNA duplexes obstruct dsRBD2 from capturing dsRBD1, creating a steeply elevated energy landscape that enables PKR to discriminate foreign RNAs from abundant self-RNAs, thus evolving a delicate strategy to achieve both high selectivity and robust signaling.

biophysics↗

bioRxiv2025

Identifying associations between maize leaf transcriptome and bacteriome during different diurnal periods

O_LIBacterial communities play important roles in the plant phyllosphere. Both microbial communities and their hosts have circadian rhythms and are subject to diurnal environmental changes. However, the interaction between the host and microbiome is still poorly understood. Here, we exploit paired sequencing data of host transcriptome and microbiome derived maize genotypes in field conditions and under two contrasting diurnal periods. C_LIO_LIGene expression patterns of circadian cycle genes confirmed expected diurnal dynamics. Groups of co-expressed genes that responded to diurnal periods were associated with nucleic acid-binding, heat stress responses, and photosynthesis. C_LIO_LIMicrobiome analysis revealed only modest differences in alpha diversity between midday and midnight samples. However, beta diversity indicated a significant shift in community composition. Co-occurrence network analysis identified keystone taxa specific to each time point, suggesting time-dependent ecological roles within the phyllosphere microbiome. C_LIO_LICross-correlation analyses between host gene expression and bacterial taxon abundance revealed a greater number of host-microbe associations during the night. Several maize genes involved in circadian regulation significantly correlated with microbial taxa. Our findings provide initial evidence for diurnal-associated relationships between host gene expression and leaf-associated bacteriome, suggesting that maize circadian regulation may play a role in shaping the composition and functional potential of the phyllosphere microbiome. C_LI

bioinformatics↗

bioRxiv2025

MGMG: Cell Morphology-Guided Molecule Generation for Drug Discovery

Designing novel molecules with desired bioactivity remains a fundamental challenge in drug discovery. Most molecular design methods follow target-based drug discovery paradigms that rely on well-defined drug targets, thereby limiting their applicability to diseases lacking known targets or reference compounds. Here we introduce Morphology-Guided Molecule Generation (MGMG), a phenotypic drug discovery-oriented approach that integrates cellular morphological profiles from compound treatments with molecular textual descriptions without requiring molecular target information. Cell morphology offers the guidance on desired bioactivity-relevant phenotypic effects, while textual descriptions provide direct and interpretable cues about molecular structure. Leveraging complementary structural and bioactivity context, MGMG significantly enhances molecule generation performance, especially in scenarios where textual descriptions are under-informative or morphological signals are weak. MGMG can also be applied to genetic perturbations, enabling activator design from gene overexpression morphology without requiring knowledge of reference compound structure. In addition, in silico docking demonstrates that MGMG-generated molecules, despite lacking target information, exhibit binding affinities comparable to reference compounds, preserving key interactions while introducing structural diversity. Overall, MGMG jointly utilizes morphological and textual description inputs to guide molecule generation, enabling diverse, bioactivity-aware compound design in a target-agnostic fashion.

bioinformatics↗

bioRxiv2025

A comparison of adiponectin-deficient mice reveals the fundamental role of intracellular adiponectin

Adiponectin is an important adipokine with insulin-sensitizing, anti-inflammatory, and anti-fibrotic properties. The physiological roles of adiponectin have been studied using global adiponectin knockout (KO) mice. However, the reported phenotypes of adiponectin KO mice vary based on the mouse lines generated by different strategies and investigators. We performed a head-to-head comparison of the adiponectin KO mice that were generated in Dallas, Houston and Osaka. RNAseq revealed that the expression of the bioactive domain of adiponectin - the globular domain - was preserved in the Houston and Osaka KO mice. A complete adiponectin KO model, such as the Dallas KO mouse, exhibits a lower body weight, the highest adipocyte mitochondrial function and displays a susceptibility to DNA damage-mediated lung fibrosis. The reconstitution of globular adiponectin into the Dallas KO mice prompted an increase in body weight and a partial recapitulation of the Osaka KO model transcriptome signature. The intracellular globular adiponectin form is important, as we found that globular adiponectin enhances PPAR{gamma} activity by modulating the coregulators interacting with PPAR{gamma}. Overall, the residual expression of globular adiponectin regulates adipose tissue metabolism by altering PPAR{gamma} activity, highlighting an important novel role of intracellular adiponectin.

physiology↗

bioRxiv2025

Copper Sulfide Nanoparticle-Mediated Photothermolysis Induces Immunogenic Cell Death in Ovarian Cancer Cells

Immunotherapy has only limited efficacy against ovarian cancer because of dysfunctional T cells in an immunosuppressive tumor microenvironment. Selective photothermolysis is a technique in which short pulsed laser is used to ablate tissue in targeted regions in a precise spatiotemporally controlled manner. This technique allows targeted tissue ablation without damage to surrounding tissue. In the current study, we demonstrated that ovarian cancer cells treated with photothermolysis mediated by near-infrared-absorbing CuS nanoparticles and 15-ns laser pulses were ingested by human monocyte-derived dendritic cells (MoDCs) more efficiently than were ovarian cancer cells treated with ionizing radiation. Moreover, ingestion of ovarian cancer cells treated with CuS NP-mediated photothermolysis promoted MoDC activation. Immature MoDCs that had been exposed to photothermolysis-treated cancer cells caused greater clonal expansion of co-cultured human CD4+ and CD8+ T cells than did immature MoDCs that had been exposed to ionizing radiation-treated tumor cells. These data indicate that photothermolysis may be used to selectively target and destroy tumor cells and cause them to release antigens and danger signals, which can be recognized by DCs to activate T cells.

immunology↗

bioRxiv2025

NuMA promotes constitutive heterochromatin compaction by stabilizing linker histone H1 on chromatin

Heterochromatin has been widely recognized to exert pivotal functions of silencing specific genes and maintenance of genome stability. However, the mechanisms underlying heterochromatin formation and maintenance remain to be fully elucidated. Here, we discovered that the critical mitotic regulator NuMA, as a nucleoskeleton protein, is required for constitutive heterochromatin organization at the level of nucleosomes in the interphase. Depletion of NuMA results in shortened nucleosome repeat length (NRL), dispersed nucleosome clutches and increased chromatin accessibility in heterochromatin regions. Afterwards, epigenetic maintenance and transcription repression in constitutive heterochromatin are disrupted upon NuMA-depletion, particularly the up-regulated transcription level of the non-coding long terminal repeat (LTR) elements, indicating the crucial roles of NuMA in cell differentiation and senescence. We revealed that such functions of NuMA rely on its interaction with linker histone H1, which stabilizes H1s binding to chromatin and facilitates nucleosome stacking. We provided direct structural evidence of NuMAs stabilization effect at the highest spatial resolution of nucleosomes through in situ cryo-ET. Notably, we found that NuMA oligomerizes into quasi-meshwork in nucleoplasm and highly co-localizes with H1 on the chromatin, providing the organization basis for NuMA as a nucleoskeleton protein in chromatin architecture regulation. Collectively, our findings illuminate the concerted effect of nucleoskeleton protein and linker histone on chromatin compaction at the level of nucleosomes, which unveil a new layer of mechanisms by which nucleoskeleton regulates heterochromatin formation and maintenance.

biophysics↗

bioRxiv2025

HaploThread: A Scalable Integrated Desktop Platform for Constructing and Visualizing Haplotype Networks for Large-sample Sequences

This note announces HaploThread, a user-friendly GUI desktop software designed for haplotype network construction and visualization. HaploThread is written in C++ using the Qt library, integrating network visualization and multiple multi-threaded haplotype construction algorithms such as McAN and fastHaN (includes MSN, MJN and TCS) based on plugin mechanisms. It offers a straightforward approach to constructing and visualizing haplotype networks from large sample sets, and to extending functionality with plugins, facilitating the analysis of genetic variations and their evolutionary relationships. HaploThread is an open-source software released under the GNU General Public License (GPL). Its precompiled executables for Windows is freely available for download at https://ngdc.cncb.ac.cn/biocode/tool/BT007948.

bioinformatics↗

bioRxiv2025

BrainBeacon: A Cross-Species Foundation Model for Single-cell Resolved Brain Spatial Transcriptomics

The brains functional complexity emerges from spatiotemporal heterogeneity in molecular, cellular, and circuit organization, shaped by evolution, aging, and disease. Single-cell spatial transcriptomics provides a transformative framework to decode this complexity, resolving cell-type-specific expression patterns, region-specific regulation, evolutionary divergence, and disease-associated disruptions. Despite recent advances in spatial transcriptomics, a unified foundation model capturing cross-species, whole-brain cellular architecture remains lacking. Here, we introduce BrainBeacon, the first cross-species foundation model for whole-brain spatial transcriptomics. Trained on 133 million spatially resolved cells covering a total area of 210194 mm2 from human, macaque, marmoset and mouse brains profiled across five major platforms, BrainBeacon integrates gene expression rankings, spatial cellular organization, and evolutionarily conserved genetic relationships into a unified transformer-based architecture. A two-stage training strategy captures both intra-cellular transcriptional dependencies and inter-cellular spatial interactions, yielding biologically grounded and interpretable representations of brain structure. Subsequently, BrainBeacon enables cross-species alignment of brain cell types and anatomical regions, facilitating integrative analyses of conserved and divergent cellular architectures. Moreover, it uncovers spatial regulatory mechanisms of aging by predicting bidirectional perturbation responses between cells and their local niche. Together, BrainBeacon serves as a foundational cross-species model for whole-brain spatial transcriptomics, enabling virtual brain atlas construction, systematic in silico perturbation studies, and mechanistic insights into brain disease pathogenesis.

bioinformatics↗

bioRxiv2025

Cortex-Wide, Cellular-Resolution Volumetric Imaging with a Modular Two-Photon Imaging Platform

Mapping cortex-wide neuronal activity at single-cell resolution has been limited by the physical trade-off between numerical aperture and field-of-view (FOV) in two-photon microscopes. We present Meso2P, a modular two-photon platform that decouples excitation and detection by introducing a lateral paraboloid fluorescence collector. The design sustains an effective NA 0.87 over a contiguous 6 x 6 mm2 FOV at high speed (2,048 x 2,048 pixels at 7.67 Hz). The modular platform can be upgraded with optional modules for simultaneous multi-plane imaging (1-4 planes at full resolution and speed), volumetric imaging (6 x 6 x 0.5 mm3, 2,048 x 2,048 x 28 voxels at 1 Hz capturing> 210,000 neurons), and holographic two-photon optogenetic stimulation for targeted perturbations. To handle the resulting large-scale data, we provide an open-source deep-learning pipeline that automates motion correction, segmentation, and spike inference. We demonstrate cortex-wide sensory responses, layer-specific network synchrony during anaesthesia, and in-vivo tracking of micro and nanoplastic distribution. Meso2P therefore provides a reproducible route to high-throughput volumetric imaging across almost the entire cortex with high detection efficiency.

neuroscience↗

bioRxiv2025

Single cell mass spectrometry reveals intercellular compartmentalization of camptothecin biosynthesis in the tree Camptotheca acuminata

The medicinal tree Camptotheca acuminata produces camptothecin, a monoterpenoid indole al- kaloid (MIA) precursor for several leading chemotherapeutic agents (Lorence and Nessler 2004). Alt- hough the biosynthesis of camptothecin remains poorly understood, a putative route has been hypothe- sized based on in planta metabolite profiling and feeding studies (Fig. 1a) (Sheriha and Rapoport 1976; Sadre et al. 2016). However, pathways proposed on whole-tissue or organ-level metabolomic and tran- scriptomic data lack resolution on the intricate, cell-specific compartmentalization of natural products biosynthesis. Such gaps could be addressed by single cell technologies, which have recently shown tremendous potential to transform gene discovery in herbaceous plants (Li et al. 2023; Zhan et al. 2023; Vu et al. 2024; Wu et al. 2024; McClune et al. 2025). Nevertheless, single cell mass spectrometry (scMS) has not been adapted for woody species, largely due to the challenges associated with their highly lignified tissue and complex cellular architecture. In this study, we developed an scMS pipeline for the woody tree C. acuminata to investigate the intercellular organization of camptothecin biosynthesis. O_FIG O_LINKSMALLFIG WIDTH=144 HEIGHT=200 SRC="FIGDIR/small/661346v1_fig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@17f7710org.highwire.dtl.DTLVardef@161c469org.highwire.dtl.DTLVardef@1a5ee1borg.highwire.dtl.DTLVardef@b361b9_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFig. 1.C_FLOATNO Single cell metabolomics of Camptotheca acuminata. (a) Proposed camptothecin biosynthetic pathway. (b) Schematic experimental pipeline. (c) Dot plots showing concentrations of key metabolites in single cells across organs. Each data point rep- resents a protoplast. For each metabolite, dots were offset from the center based on the distribution of concentrations among sin- gle cells. (N.D.: not detected). (d) Stacked bars showing concentrations in individual cells of loganic acid, secologanic acid, strictosidinic acid, strictosamide, pumiloside, and camptothecin). Cells are organized into groups with loganic acid only (A), secologanic acid only (B), loganic and secologanic (C), strictosidinic acid only (D), and other alkaloids (strictosamide, pumiloside, and camptothecin) (E). In each group, cells are ordered by total metabolite concentration with highest concentration in the center and lower producers closer to the edges. Panel widths scale with the number of cells in each group, and colours cor- respond to individual metabolites. C_FIG

biochemistry↗

bioRxiv2025

Hollow condensates emerge from gelation-induced spinodal decomposition

Recent studies have identified diverse hollow biomolecular condensates, characterized by biomolecule-depleted interiors surrounded by biomolecule-rich shells. Although several formation mechanisms have been proposed, a general thermodynamic driving force remains elusive. Here, we investigate a well-defined system in which the human transcription factor p53 and non-specific double-stranded DNA (dsDNA) form biomolecule-rich condensates. Introduction of dsDNA containing p53-binding motifs induces a morphological transition to hollow structures, accompanied by a material state transition from liquid-like to gel-like. In vitro assays indicate that the formation of hollow condensates is driven by p21 DNA-induced localized gelation at the condensate periphery. Guided by these findings, we developed a three-component phase-field model that quantitatively recapitulates the formation of hollow condensates. Simulations show that peripheral gelation leads to gradual depletion of protein and Random DNA from the condensate core, triggering spinodal decomposition and lumen formation inside condensates. Together, these results offer mechanistic insights into multi-component hollow condensates.

biophysics↗

bioRxiv2025

Beach sand beneath our feet: an overlooked reservoir of antibiotic resistance genes and pathogens, revealed by metagenomic evidence from Qingdao's recreational beaches

Coastal beach environments, especially those with heavy tourist activity, represent a dynamic interface between terrestrial and marine microbiomes. However, beach sand is rarely considered in surveillance of antibiotic resistance. In this study, we combined 16S rRNA gene sequencing and shotgun metagenomics to characterize microbial communities and antibiotic resistance genes (ARGs) at four popular recreational beaches in Qingdao, China. We show that beach sands harbor highly diverse bacterial communities with significantly greater richness than adjacent seawater. Beach sand near sewage discharge points had microbial profiles intermediate between raw sewage and open-ocean water, reflecting contributions from both sources. Metagenomic analysis identified a broad "resistome" of over 300 distinct ARGs in these beach and water samples, spanning 33 antibiotic classes and 6 resistance mechanism categories. Notably, the rifampicin resistance gene rpoB2 was the most abundant ARG, and genes conferring resistance to peptide antibiotics were prevalent. Sewage outfalls were found to be major contributors of ARGs, with waste-influenced sand containing a larger and more diverse ARG pool than sand farther from pollution sources. We also detected a high diversity of bacterial virulence factor genes, particularly in sand. Our findings highlight that tourist beaches can serve as reservoirs and mixing zones for antibiotic-resistant and potentially pathogenic bacteria from land-based pollution. This underscores the need to include beach sand in environmental monitoring for antibiotic resistance and to improve wastewater management at recreational coastlines to mitigate public health risks. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=198 SRC="FIGDIR/small/661489v1_ufig1.gif" ALT="Figure 1"> View larger version (84K): org.highwire.dtl.DTLVardef@18705f3org.highwire.dtl.DTLVardef@1979f8forg.highwire.dtl.DTLVardef@16c9029org.highwire.dtl.DTLVardef@6c778d_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗