Biology subjects

Yin, J.

Publications and source records attributed to Yin, J..

At least 37 records · Page 2Linked to original sources

bioRxiv2026

Funneliformis mosseae and Pseudomonas putida-symbiotic interaction promote drought resilience in Citrus reticulata

Climate change and increasing drought conditions significantly impedes citrus productivity in subtropical and tropical regions. This study explores the potential of combining arbuscular mycorrhizal fungi (AMF) Funneliformis mosseae and plant growth-promoting rhizobacteria (PGPR) Pseudomonas putida to mitigate drought resilience in Citrus reticulata (Red tangerine). AMF-mediated drought tolerance has been extensively documented; however, the collegial influence of PGPR and AMF on phytohormone signaling, photosynthetic efficiency, nutrient acquisition, and gene expression remains largely unexplored in citrus. We conducted a greenhouse experiment under both well water and drought stress conditions to assess the physiological and molecular responses to individual and co-inoculation with PGPR and AMF. Drought-stressed citrus plants, inoculated with AMF and PGPR, demonstrated significantly improved leaf water potential, stomatal conductance, carbon assimilation, and antioxidant defense. PGPR-AMF co-inoculation enhanced chlorophyll stability, osmotic adjustment, and nutrient uptake, while significantly reducing lipid peroxidation and ROS accumulation. The turquoise module emerged from transcriptomic and gene co-expression network analysis (WGCNA) as a potential key regulator of stress adaptation, revealed key regulatory transcription factors, e.g., CrMYB4, CrZFP8, CrSOS5, CrRGFR2, and CrQUA1, that were upregulated under combined inoculation, highlighting their potential role in stress adaptation. Our findings demonstrate that the synergistic PGPR-AMF interaction improves antioxidant enzyme activities and modulates gene expression to promote drought tolerance, providing new insights into the microbiomes role in plant resilience. These results offer a potential strategy to boost citrus growth and yield under water scarcity, with broad implications for agricultural resilience to climate change.

plant biology↗

bioRxiv2026

Stage-adaptive integration of polydopamine promotes hPSC-derived alveolar organoids differentiation and maturation

Human pluripotent stem cell (hPSC)-derived alveolar organoids (ALOs) have emerged as a powerful tool for modeling human lung development and disease, and accelerating respiratory drug discovery. However, achieving the functional maturation of ALOs remains challenging. Polydopamine (PDA) is a mussel-inspired polyphenolic biomaterial with antioxidant and adhesive properties that can be deployed as surface coatings and nanoparticles (NPs) in cell culture systems. Here, we integrate PDA coatings and NPs sequentially in a stage-adaptive manner throughout the hPSC-derived ALOs differentiation system and study their contributions to ALOs maturation. Our results demonstrated PDA coating yielded more anterior foregut endoderm (AFE) spheroids by strengthening the interaction between Matrigel and substrate. Bulk RNA-seq revealed enrichment of cell-cell and cell-extracellular matrix interactions by PDA. The subsequent incorporation of PDA NPs in Matrigel at lung progenitor cells (LPCs) stage significantly mitigated reactive oxygen species (ROS) accumulation and enhanced LPCs generation. Functionally, AT2 cells in ALOs exhibit characteristic lysosome-to-lamellar body (LB) maturation due to the traffic of internalized PDA NPs to endolysosome. Transcriptomics further indicated enrichment of endocytic-phagosome and epithelium development pathways by PDA treatment. Together, our study establishes a stage-adaptive-integrated PDA strategy throughout hPSC-to-ALOs differentiation and demonstrates that PDA robustly enhances ALOs maturation and secretory function. Graphic abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=178 SRC="FIGDIR/small/708928v1_ufig1.gif" ALT="Figure 1"> View larger version (50K): org.highwire.dtl.DTLVardef@88208dorg.highwire.dtl.DTLVardef@1111590org.highwire.dtl.DTLVardef@9ea9b0org.highwire.dtl.DTLVardef@969fad_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioengineering↗

bioRxiv2026

Type I interferon signaling promotes mucosal inflammation in murine models of colitis

Type I interferons (IFN-Is) play a critical role in innate immunity, modulating the host response. While dysregulated IFN-I signaling has been implicated in autoimmune and infectious disorders, its role in inflammatory bowel disease (IBD) remains unclear. In this study, we extensively assessed the function of IFN-I signaling in human IBD and murine models of colitis. Expression of IFN-I signature genes was elevated in patients with active ulcerative colitis as well as multiple murine models of colitis. Single cell RNA sequencing revealed that upregulated IFN-I signature genes were enriched in myeloid cells, which exhibited increased expression of IFN receptors during mucosal inflammation. Mice carrying gain-of-function alleles of Ifnar1, a subunit of IFN-I receptor, showed heightened IFN-I signaling and altered colonic immune homeostasis at baseline, and were more susceptible to experimental colitis. In contrast, postnatal inhibition of IFNAR1, using either an inducible transgenic mouse model or an anti-IFNAR1 blocking antibody, protected against experimental colitis. Taken together, our findings reveal a previously under-recognized pathogenic role of IFN-I in IBD and provide a rationale for therapeutic intervention targeting this pathway.

immunology↗

bioRxiv2026

Non-enzymatic ABHD6 interacts with Akt-FoxO1 axis to regulate selective hepatic insulin resistance

The enzymatic function of ABHD6 on insulin secretion and insulin resistance is well documented. However, its non-enzymatic function, especially its effects on selective hepatic insulin resistance and metabolic dysfunction-associated steatotic liver disease (MASLD) is completely unexplored. ABHD6 is elevated under conditions of diet-induced obesity and aging. To define the role of ABHD6 in liver physiology, we generated liver-specific ABHD6 knockout mice, as well as liver specific overexpression of native and enzymatic inactive mutant ABHD6 mouse models. We demonstrated that ABHD6 is an unidentified regulator of selective hepatic insulin resistance and contributes to MASLD and liver fibrosis. Furthermore, we found that non-enzymatic ABHD6, rather than its enzymatic form, contributes to this regulation. Mechanistically, we found that ABHD6 translocated into the nucleus and interacted with Akt/FoxO1 axis to regulate its function. In addition, knockdown of FoxO1 in primary hepatocytes or overexpression of constitutively active mutant FoxO1 by AAV approach could completely abolish the effects of ABHD6 on glucose tolerance and gluconeogenesis. Our study reveals an entirely different mechanism underlying selective hepatic insulin resistance that involves a previously unknown non-enzymatic function of ABHD6. This study opens an avenue for the development of a novel class of ABHD6 inhibitors to treat MASLD and liver fibrosis. HighlightsO_LIABHD6 expression in the liver is increased with obesity and aging. C_LIO_LIABHD6 manipulation affects selective hepatic insulin resistance, MASLD and liver fibrosis. C_LIO_LINon-enzymatic ABHD6 interacts with Akt/FoxO1 axis to regulate FoxO1 transcriptional activity. C_LIO_LIThe effects of ABHD6 on glucose tolerance and hepatic gluconeogenesis are completely dependent on FoxO1 activity. C_LI

physiology↗

bioRxiv2026

Global Trends and Hotspots in Grassland Root Functional Traits Research (2000-2025)

Grasslands, as one of the most important terrestrial ecosystems globally, have root functional traits that serve as key indicators of plant responses to environmental changes and hold significant ecological importance. To reveal the current status, research hotspots, and frontier trends in the field of grassland root functional traits, this study analyzed relevant literature from the Web of Science Core Collection database between 2000 and 2025. It employs bibliometric methods and utilizes visualization tools such as CiteSpace for a systematic analysis. The results indicate that research in this field has been continuously increasing since 2000, reflecting a growing research interest. China, the United States, and Germany are the leading countries in terms of publication output. However, collaboration networks among authors, institutions, and countries are still not tight enough to form a truly global cooperative network. Co-occurrence analysis of keywords and literature clustering reveal that the research hotspots in this field are mainly concentrated in six directions: multidimensional characteristics of root functional traits, interactions between root functional traits and climate change, synergistic effects of root functional traits and soil microorganisms, responses of root functional traits to land-use changes, coupling of root functional traits with ecosystem functions, and applications of root functional traits in agriculture and ecological restoration. Future research should focus on promoting innovation and standardization of research methods, conducting long-term monitoring, deeply exploring the mechanisms of root-microbe interactions, implementing cross-scale integrative research and model construction, and building international collaborative networks.

ecology↗

bioRxiv2026

A comprehensive proteome and the first phosphoproteome reveal extensive phosphorylation of carbohydrate metabolism in Cryptosporidium parvum sporozoites

Cryptosporidium parvum is an obligate intracellular apicomplexan parasite and a major cause of diarrheal disease in humans and animals worldwide. Despite its public health importance, the molecular regulation of parasite metabolism, particularly at the post-translational level, remains poorly understood. Here, we present a comprehensive proteomic analysis and the first phosphoproteomic profile of excysted C. parvum sporozoites, the invasive stage responsible for host cell entry. Using data-independent acquisition-based mass spectrometry, we identified 2,272 proteins, representing approximately 58% of the predicted parasite proteome, and 8,994 phosphorylation sites across 833 phosphoproteins. Comparative analyses revealed weak correlations between transcript and protein abundance, underscoring extensive post- transcriptional regulation in sporozoites. Functional enrichment analyses showed that proteins involved in carbohydrate metabolism, particularly glycolysis, are highly abundant in the sporozoite proteome. In contrast, phosphoproteomic data revealed that many core glycolytic enzymes exhibit relatively low phosphorylation propensity, suggesting limited reliance on phosphorylation-based regulation for basal energy metabolism at this stage. To integrate proteomic and phosphoproteomic measurements acquired independently, we developed a relative phosphorylation index (RPI) that enables comparative assessment of phosphorylation propensity across proteins. Application of this metric highlighted selective phosphorylation of proteins associated with signaling, cytoskeletal organization, and host-parasite interaction, while key metabolic entry-point enzymes, such as hexokinase, showed high abundance but minimal detectable phosphorylation, in contrast to their mammalian counterparts. Together, these findings provide the most comprehensive molecular resource to date for C. parvum sporozoites and reveal a phosphorylation landscape that emphasizes regulatory and structural processes over core metabolic flux. This work establishes a foundation for understanding parasite-specific regulatory strategies and may inform the identification of novel therapeutic targets against cryptosporidiosis. Author SummaryCryptosporidium parvum is a microscopic parasite that causes diarrheal disease in humans and animals worldwide, yet we still know surprisingly little about how it regulates its biology at the molecular level. In this study, we set out to better understand how the parasite prepares for infection by examining the proteins present in sporozoites, the life stage that actively invades host cells. We generated the most comprehensive protein catalog to date for C. parvum sporozoites and, for the first time, mapped thousands of chemical modifications known as protein phosphorylation. These modifications often act as molecular switches that control how proteins behave. We found that proteins involved in basic energy production are extremely abundant but show relatively little phosphorylation, while proteins linked to cell structure, movement, and interaction with the host are more frequently modified. This suggests that the parasite prioritizes regulation of invasion-related processes over fine-tuning its core metabolism at this stage. By providing a detailed molecular resource and a new way to compare protein phosphorylation patterns, our work lays the groundwork for future studies of parasite biology and may help guide the search for new strategies to combat cryptosporidiosis.

microbiology↗

bioRxiv2026

Integrated Multi-omics Analysis Identifies Molecular Signatures of Regular Physical Activity in Human Peripheral Blood

Regular physical activity is well established to protect against metabolic disorders and bolster immunity; yet, the underlying molecular and cellular mechanisms remain incompletely understood. We integrated plasma metabolomics and lipidomics with single-cell transcriptomic and chromatin accessibility profiles to decode the systemic impact of physical activity on human immunity and metabolism. Our data reveal that regular physical activity is linked to a coordinated metabolic signature marked by enhanced fatty acid oxidation and antioxidant defense. In circulating immune cells, regularly active individuals exhibited synchronous enhancement at both the chromatin accessibility and transcriptional levels for antigen presentation-related genes in antigen-presenting cells (APCs), particularly in classical monocytes, naive B cells, and switched memory B cells. Meanwhile, cytotoxic programs in CD8+ cytotoxic T and mature NK cells showed epigenetic pre-activation of effector function regulators. Intercellular communication analysis further revealed that regular exercise enhanced MHC-I/II signaling between APCs and T cells and suppressed inflammatory signaling networks. Together, these findings elucidate molecular mechanisms underlying the health benefits of regular exercise and offer a theoretical basis for enhancing public health and preventing chronic diseases.

bioinformatics↗

bioRxiv2026

Antigenic landscape of rabies and related lyssaviruses revealed by cryo-EM

Rabies continues to kill over 60,000 people per year despite life-saving vaccines and post-exposure treatments, and costs billions of dollars in prevention and treatment. Preventing rabies deaths and reducing the global economic burden of the virus will require both developing a monoclonal antibody cocktail to replace human serum in treatment and improving rabies vaccines to elicit long-lasting protection. Here, we solve nine cryo-EM structures of neutralizing monoclonal antibodies in complex with the rabies virus surface glycoprotein (RABV-G). The nine structures span three known antigenic sites plus two new antigenic sites, not previously mapped. We further find that these two new sites are the targets of antibodies with the desired broad neutralization of rabies as well as other emerging lyssaviruses. Across the mAb panel, fusion inhibition and binding affinity correlate best with neutralization. Together, these results provide a roadmap for structure-guided vaccine and therapeutic antibody design for rabies and related lyssaviruses.

microbiology↗

bioRxiv2026

Single-Cell Multi-Omics Insights into BMI-Mediated Immune-Related Disease Risk

This study is based on the Chinese Immune Multi-Omics Atlas (CIMA) cohort and performs an integrated single-cell multi-omics analysis of peripheral blood mononuclear cells (PBMCs) from 210 individuals aged 20-29, comprising 3,311,699 scRNA-seq cells and 1,839,860 scATAC-seq cells, to decipher immune characteristics across different body mass index (BMI) categories. By integrating gene regulatory network (GRN) and cell type-level molecular quantitative trait loci (xQTL) data, and conducting summary-data-based Mendelian randomization (SMR) analysis in conjunction with genome-wide association studies (GWAS) of BMI-mediated immune-related diseases, we identified key disease-associated cell types and molecular features. Using rheumatoid arthritis (RA) as an example, multi-omics evidence revealed that in MAIT-SLC4A10 cells of underweight individuals, increased chromatin accessibility at the CCR6 locus (chr6:167119627-167120128) and enhanced transcriptional activity of RORC/RORA collectively drive elevated CCR6 expression, which may represent a potential molecular mechanism underlying the higher risk of RA in underweight populations. Our study leverages single-cell multi-omics data to systematically dissect the molecular mechanisms by which different BMI categories mediate susceptibility to immune-related diseases through coordinated regulation of immune cell chromatin accessibility, transcription factor activity, and downstream gene expression.

bioinformatics↗

bioRxiv2025

The CCC complex directs phagosomal maturation and bactericidal activity in macrophages through PI(3)P regulation

The evolutionarily conserved COMMD/CCDC22/CCDC93 (CCC) complex regulates endolysosomal function and is required for effective antibacterial immunity. However, the mechanisms linking the CCC complex to macrophage function remain poorly understood. Using bone marrow-derived macrophages, we found that CCC deficiency impaired bacterial clearance and disrupted phagosome maturation, as evidenced by defective phagosomal membrane remodeling, reduced phagosome-endoplasmic reticulum contacts, and impaired phagosome-lysosome fusion. These defects were independent of the CCC complex interaction partner, Retriever. CCC-deficient macrophages exhibited excessive phosphatidylinositol 3-phosphate (PI(3)P) accumulation on phagosomal membranes due to markedly reduced recruitment of the PI(3)P phosphatase MTMR2. Restoration of normal PI(3)P levels rescued bactericidal activity, establishing aberrant PI(3)P regulation as the principal defect affecting CCC-deficient macrophages. These findings identify a previously unrecognized Retriever-independent function of the CCC complex in regulating PI(3)P dynamics during phagosome maturation, a process essential for efficient bacterial clearance and innate immune defense.

cell biology↗

bioRxiv2025

Amyloid-mediated RNA uptake by sperm for embryonic delivery

Seminal fluid RNA is essential for embryonic development, but the mechanism by which extracellular RNA is transferred from seminal fluid to sperm remains unclear. Here, we identify a role for functional amyloid fibrils in seminal fluid that bind and traffic RNA to mammalian sperm and, upon fertilization, the zygote. We show that highly cationic peptides in seminal fluid phase separate with RNA to form amyloid fibrils. Cryo-electron tomography reveals that these amyloid fibrils are internalized by sperm. Furthermore, biophysical and in vitro fertilization experiments show that amyloid-bound RNA reaches the zygote where molecular chaperones control release of RNA for translation. Our work uncovers a mechanism for RNA trafficking from seminal fluid to the zygote, establishing amyloid fibrils as potential tools for RNA delivery during fertilization.

biophysics↗

bioRxiv2025

Functional characterization of the 9q34.13 locus identifies RAPGEF1 as modulating risk for melanoma and nevi via RAS activation

Genome-wide association studies identified a melanoma- and nevus count-associated locus on chromosome band 9q34.13. Fine-mapping and melanocyte expression data collectively suggest two potential causal genes with opposite association with risk: higher levels of Rap guanine nucleotide exchange factor 1 (RAPGEF1) and lower levels of uridine-cytidine kinase 1 (UCK1). Colocalization analyses and conditional TWAS suggest multiple causal cis-regulatory sequence variants in partial linkage disequilibrium (LD) to each other. Melanocyte capture-HiC and CRISPR-inhibition demonstrated regulatory interactions between fine-mapped variants and the RAPGEF1 and UCK1 promoters. Focusing on RAPGEF1, we demonstrate RAPGEF1 expression promotes melanocyte growth and drives malignant transformation of human immortalized melanocytes. Following treatment with human EGF, RAPGEF1 overexpression activated both RAP1 and RAS. Further, we show RAPGEF1 expression is significantly enriched in melanomas lacking strongly activating RAS-MAPK mutations, suggesting that RAPGEF1 may promote oncogenic RAS-MAPK signaling in melanomas. Furthermore, in these tumors, we provide preliminary evidence to support the prognostic relevance of RAPGEF1 expression in patients lacking RAS or BRAF mutations. Together with other recent studies, these data suggest that germline variation influencing RAS activation may play a key role in nevus development and melanoma risk.

genetics↗

bioRxiv2025

Beyond Inheritance: De novo Fast Motion Computation in Primate Visual Cortex

Objects move through space and time, generating sequential visuotopic activations in all sighted animals leading to motion perception of velocity defined by direction and speed. Humans can effortlessly see motion with speeds ranging from 0.25 to 500{degrees}/s. However, direction-selective neurons in the primary visual cortex (V1)--from which all subsequent processing is presumed to derive-- only encode directionality at low speeds. To resolve this paradox, we recorded neuronal responses to moving dots, gratings, and movies across the LGN, V1, MT and MST of the macaque motion pathway. Regardless of cell type and motion stimuli, V1 neurons lost direction selectivity at [~]29{degrees}/s while MT and MST neurons maintained it up to [~]82{degrees}/s and [~]183{degrees}/s, respectively. A cascaded spatiotemporal integration model reveals that at each cortex direction-selective neurons can generate velocity selectivity de novo, by integrating sequential visuotopic activations from preceding areas, irrespective of speed and directionality. By computing velocity anew, the primate brain effectively uses the cortical hierarchy itself to shift gears to efficiently encode slow and fast motion. Thus, five visual areas from the retina into the brains processing hierarchy, external spatiotemporal information is being computed afresh, offering insights for motion processing in other species, modalities and machine vision.

neuroscience↗

bioRxiv2025

Single-Cell Multi-Omics Dissects Transcript Isoform and Immune Repertoire Dynamics in Human Immunosenescence

Immunosenescence, a major hallmark of systemic aging, refers to the progressive functional decline of the immune system. This decline not only compromises host defense and immunological memory but also fuels chronic inflammation and tissue degeneration (collectively known as inflammaging). While single-cell RNA sequencing (scRNA-seq) has revealed transcriptomic alterations in immune aging, analyses restricted to transcript abundance fail to capture deeper regulatory layers, such as transcript isoform diversity and the remodeling of immune receptor repertoires. To address this, we present the human peripheral immune single-cell multi-omics atlas that integrates gene expression, transcript isoforms diversity, and immune receptor repertoires. By combining single-cell full-length transcriptome sequencing (scCycloneSEQ), short-read scRNA-seq, and single-cell immune receptor sequencing (scTCR/BCR-seq), we systematically profiled peripheral blood mononuclear cells (PBMCs) from healthy young and elderly donors. Our analyses uncovered extensive age-related remodeling of immune cell composition, functional states, and TCR/BCR diversity. Notably, we identified in CD4 effector memory T cells exhibited widespread differential isoform usage (DIU), 3'UTR length variation, and a marked reshaping of cytotoxic T lymphocyte (CTL) clonotypes--all closely associated with aging-related inflammation and cellular senescence. This multi-omics atlas delineates key molecular features of immunosenescence and provides a high-resolution resource for deciphering the regulatory architecture underlying immune aging.

immunology↗

bioRxiv2025

MindSight: A Bio-Inspired Neural Architecture for Visual Restoration via Cortical Electrical Stimulation

Visual impairment is a common condition worldwide, and cortical electrical stimulation is one of the approaches to aid in visual restoration. However, existing methods suffer from limited precision, flexibility, and generalization in generating the desired visual perception. In this paper, we propose a novel deep learning-based algorithm for cortical electrical stimulation, named "MindSight," aimed at enhancing the clarity and accuracy of induced visual perceptions. Our framework introduces three key innovations: (1) A differentiable biophysical model simulating cortical state transitions under electrical stimulation, enabling end-to-end training; (2) A dual-path training architecture combining neural decoding fidelity with phosphene simulation constraints; (3) An attention-guided background gated network for input filtration and, a multi-channel activation constraint to ensure the effectiveness of electrical stimulation. We validated our approach through novel experiments with macaque monkeys, demonstrating superior performance in visual perception tasks. These results highlight the potential of our approach in assisting individuals with visual impairments. Codehttps://github.com/zyj9902/MindSight

bioengineering↗

bioRxiv2025

Mid-Infrared Photothermal Mesoscopy with Millimeter Field of View and Sub-micron Spatial Resolution

By optically sensing mid-infrared absorption through a visible probe beam, mid-infrared photothermal (MIP) microscopy has emerged as a powerful tool for chemical imaging with micromolar sensitivity and submicron spatial resolution. The adoption of spatially multiplexed camera-based widefield detection further enhanced the imaging speed. However, current widefield MIP systems suffer from a small field of view (FOV)--typically tens of square micrometers, which constrains their utility in large-area tissue imaging applications. Here, we report a laser-scan MIP mesoscope that achieves millimeter-scale FOV while preserving submicron resolution. By leveraging an all-reflective laser scanning architecture, low-magnification and medium numerical-aperture objectives, and a defocused signal collection scheme, our MIP mesoscope achieves a 1.2 x 1.2 mm2 FOV, 650 nm lateral resolution, and microsecond-scale pixel dwell time. In vivo chemical imaging of whole Caenorhabditis elegans and high-throughput detection of beta-amyloids in both mouse and human brain tissues associated with Alzheimers disease are demonstrated.

bioengineering↗

bioRxiv2025

Coevolutionary dynamics of viruses and their defective interfering particles

Defective interfering particles (DIPs) are viral mutants that arise naturally during infection. Because they lack one or more essential functions, DIPs cannot replicate on their own, but they can parasitize intact viruses during co-infection by competing for growth resources, thereby interfering with viral replication. The evolutionary interplay between viruses and their DIPs involves growth, mutation, interference, and resource trade-offs, but the mechanisms shaping population-level outcomes remain poorly understood. To address this, we developed a continuous phenotype-space model using coupled partial differential equations that incorporate mutation, phenotype-dependent interference, intrinsic fitness costs, and de novo DIP generation. Unlike traditional strong-selection models, this framework captures strong-mutation regimes in which both virus and DIP populations diffuse through trait space and interact based on phenotypic similarity. Our analysis reveals two levels of dynamics. At the population level, viruses and DIPs undergo oscillations, consistent with predator-prey-like cycles (the von Magnus effect) observed experimentally. At the trait level, evolution drives shifts in resistance and interference, producing coevolutionary chases in which viruses temporarily escape and new DIPs emerge to follow, as observed in serial-passage evolution studies. Systematic variation of parameters reveals four qualitative regimes: viral-DIP coexistence, sustained coevolutionary (Red Queen) chase dynamics, DIP extinction, and mutual extinction. Chase dynamics are most strongly promoted by intermediate interference strength and low decay rates, while higher levels drive collapse of one or both populations. The model further predicts thresholds where viral escape is either constrained by intrinsic fitness penalties or enabled through phenotypic separation from DIPs. These findings establish a general framework for virus-DIP coevolution, showing how both population dynamics and trait evolution shape outcomes, with implications for designing DIP-based therapeutics that better resist viral escape. Author summaryMost viruses produce defective versions of themselves, known as defective interfering particles (DIPs). DIPs cannot multiply on their own, but when they infect the same cell as an intact virus, they steal resources and limit the viruss growth. This makes them a promising antiviral therapy. But viruses may evolve to reduce the ability of DIPs to steal resources. We built a mathematical model that lets both viruses and DIPs vary in traits--such as how quickly they grow or how strongly they interfere--and evolve such traits over time. Our results reveal two layers of dynamics. At the population level, viruses and DIPs can rise and fall in repeating cycles that resemble predator-prey interactions, even when traits stay fixed. With evolution, however, the contest gains another dimension: viruses may shift traits to escape interference, while new DIPs can arise and adapt to follow them. This co-evolutionary chase is a novel feature that sets DIPs apart from conventional therapies, which cannot adjust to viral change. By exploring many conditions, we identified when viruses and DIPs coexist, when one eliminates the other, and when they remain locked in long-term pursuit. These insights suggest principles for designing therapeutic DIPs that might better resist viral escape.

evolutionary biology↗

bioRxiv2025

From spark to wildfire: illuminating single-cell origins of virus infection spread and diversification

When a virus encounters a living cell it triggers infection, cell death, and the release of virus progeny. In lab cultures, such progeny spread to near and distant cells, creating a plaque, a visible record of virus growth and cell death. Plaque-based assays have long enabled amplification and quantification of virus particles, but the earliest infections of a plaque remain poorly characterized. Here, we used a recombinant rhinovirus expressing a fluorescent reporter protein to track the start and spread of infection across HeLa cell monolayers at single-cell resolution. We analyzed reporter expression profiles from eight plaques and over 150 cells, reviewing, testing and applying methods of time-series analysis, clustering, and dimensionality reduction. We identified primary infections based on early reporter expression in isolated cells and secondary infections among their neighbors. Primary infected cells exhibited tightly clustered gene expression profiles, while secondary infected cells showed broader heterogeneity in the timing, intensity, and duration of reporter expression, without correspondence to their associated primary cells. This heterogeneity likely reflects a combination of factors, including noisy gene expression, viral genetic changes, and variation in local cellular environments. The rapid diversification of gene expression highlights the power of single-cell imaging to shed light on infection spread.

bioengineering↗