Biology subjects

Xiao, C.

Publications and source records attributed to Xiao, C..

At least 19 recordsLinked to original sources

bioRxiv2026

Adenosine refines the balance of spermatogonial proliferation and differentiation

The balance between spermatogonial proliferation and differentiation is essential for sustaining male fertility, yet the contribution of cellular metabolism remains poorly understood. Here, we showed that adenosine levels increased significantly during spermatogonial differentiation and promoted the formation of differentiating spermatogonia. Using a conditional knockout mouse model in which Ahcy, a gene encoding an enzyme in adenosine synthesis, is deleted from spermatogonia, we found that disruption of adenosine generation blocked spermatogonial differentiation, resulting in a transient delay in spermatogenesis. We further demonstrated that adenosine exerted its effects partially through ADORA2A- and ADORA2B-mediated signaling. Downregulating these receptor activities by specific inhibitors in spermatogonial culture or by genetic ablation in mice led to increased spermatogonial proliferation. Taken together, our study identified adenosine as a metabolic signal in refining the balance between spermatogonial proliferation and differentiation, linking cellular metabolism to critical developmental timing and stem cell fate decisions.

developmental biology↗

bioRxiv2026

A tRNA-derived small RNA orchestrates cardioprotection through distinct cell-type-specific mechanisms

Pathological cardiac fibrosis and hypertrophy, key contributors to adverse remodeling that drives heart failure (HF), are not adequately targeted by current therapies. We identified tRNA-Asp-GTC-3'tDR, an ischemia-induced tRNA-derived small RNA (tDR), as an endogenous regulator of both remodeling processes across cardiac fibroblasts and cardiomyocytes. In murine models of myocardial ischemia- and pressure overload-induced HF, cardiac delivery of tRNA-Asp-GTC-3'tDR reduced fibrosis and hypertrophy, preserved cardiac function, and improved survival, with limited three doses conferring durable protection after ischemia, whereas silencing it worsened both. Strikingly, tRNA-Asp-GTC-3'tDR acts through distinct mechanisms in different cell types: in fibroblasts, it assembles stress granules that sequester ribosome-loaded profibrotic transcripts, whereas in cardiomyocytes it engages pseudouridine synthase PUS7 to activate RNA autophagy. Its regulation and functions were confirmed in human cardiac cells and tissues. These findings demonstrate that a single tDR coordinates cell-type-specific protective programs in the heart, suggesting a new therapeutic axis to mitigate HF progression.

cell biology↗

bioRxiv2026

Thermoregulatory roles of preoptic area histamine H1 receptor-expressing neurons

The preoptic area (POA) is a key regulator of body temperature, orchestrating behavioral and physiological thermoregulatory functions, including fever, torpor, and homeostatic responses to ambient temperature. Histamine regulates body temperature across animal taxa, including mammals, lower vertebrates, and invertebrates. Hrh1, which encodes the histamine H1 receptor, is expressed in several neuronal populations in the POA with limited overlap with other POA thermoregulatory neurons. Acute activation of POAHrh1 neurons increased body temperature and physical activity. Acute inhibition attenuated the dark phase increase in body temperature without affecting physical activity. There was no effect of inhibition on body temperature during the light phase, fever, cold exposure, or warm exposure. Assessing behavioral thermoregulation, we found that POAHrh1 neurons stimulated nest building in both sexes, possibly contributing to cold-induced nesting behavior. Through projections to the arcuate, dorsomedial hypothalamic and tuberomammillary nuclei, POAHrh1 neurons can increase body temperature and physical activity. Overall, POAHrh1 neurons participate in several thermoregulatory functions, including daily body temperature rhythm regulation, physical activity, and nest building behavior.

neuroscience↗

bioRxiv2026

Brain Mechanisms of Lexicality in Bilingual Emotion Processing

Understanding how native speakers and second language (L2) learners process language differently is fundamental to theories of language acquisition, comprehension, and use. A central debate in this literature concerns the inconsistent findings in emotional prosody processing between native speakers and L2 learners, partly attributable to stimulus lexicality: some studies use real words, whereas others use pseudowords. To resolve this discrepancy, we measured fMRI responses in 15 native speakers and 15 L2 learners while they listened to Mandarin real-word and pseudoword stimuli. Both groups engaged in overlapping auditory, cognitive, and affective regions, including the auditory cortex, inferior frontal cortex, superior temporal cortex, and the temporoparietal junction. However, the two groups showed distinct responses depending on lexicality: native speakers showed stronger recruitment of temporal regions for pseudowords, whereas L2 learners showed greater frontoparietal activation for real words. These patterns were consistent across positive and negative prosody conditions. Furthermore, among L2 learners, higher proficiency was associated with greater frontal activation for real words, but not pseudowords. Together, these findings demonstrate that the differences between native speakers and L2 learners depend critically on stimulus lexicality, highlighting the role of lexicality in bilingual emotion processing.

neuroscience↗

bioRxiv2026

Smallpox Vaccine Elicits CD8+ T Cell Immunity Persisting Over Four Decades with Cross-Recognition of Monkeypox Virus

Monkeypox, caused by MPXV, has become a global public health concern; however, the T-cell immunity against MPXV following smallpox vaccination remains unclear. In this study, we screened the immunogenicity of 21 predicted MPXV epitopes and compared immune responses between young and elderly groups. Two immunogenic CD8 T-cell epitopes, M15 and M17, were identified, both of which effectively stimulated specific immune responses, with significantly stronger responses observed in the young group. Notably, this study provides the first evidence that smallpox vaccination induces CD8 T-cell immunity that cross-recognizes the MPXV epitopes M15 and M17 and remains detectable for more than four decades after vaccination, as demonstrated in vaccinated individuals aged 53-75. These findings provide experimental evidence for understanding the cross-protective mechanisms of the smallpox vaccine and informing monkeypox vaccine development.

immunology↗

bioRxiv2026

The lncRNA Statera regulates synaptogenesis by repressing the retrotransposon copia in Drosophila

Retrotransposons are mobile genetic elements that can impair genome integrity, and their insertions and dysregulation have been implicated in various diseases. However, growing evidence suggests that retrotransposons may play important physiological roles. At the Drosophila larval neuromuscular junction (NMJ), the ViSyToR (Viral Synaptic Transfer of RNA) pathway requires the active retrotransposon copia as a key negative regulator of synaptogenesis. Here, we identify a long non-coding RNA, Statera (Stae), as a regulator of copia, initially discovered through its physical association with the Copia protein. Stae is highly expressed in the central nervous system and body wall muscles of Drosophila larvae. CRISPR knockout or RNAi knockdown of Stae leads to a general decrease of bouton number at the NMJ, indicating its role in promoting synaptogenesis. Furthermore, copia is highly upregulated in Stae mutants, suggesting that Stae functions to repress copia. Mechanistically, Stae reduces copia RNA stability and limits copia DNA copy number. Additional knockdown of copia in motor neuron-specific Stae RNAi animals rescues the abnormal NMJ morphology. Together, our findings reveal an unexpected role for a long non-coding RNA in promoting synaptogenesis by repressing a retrotransposon.

neuroscience↗

bioRxiv2026

Multiplexed Quantification of Variant Abundance in the Globin Gene Family: Integrating Saturation Mutagenesis with Cross-Paralog Prediction

Widespread genetic testing has expanded variant identification, yet functional characterization remains a bottleneck in genome guided medicine. Here, we present a modified Variant Abundance by Massively Parallel Sequencing (VAMP-seq) platform integrating experimental and computational approaches for high-resolution abundance profiling of protein variants. Utilizing a lentiviral integration system, we systematically assessed the stability effects of 2,696 amino acid substitutions in {zeta}-globin (HBZ) via saturation mutagenesis in human cells, achieving complete variant coverage with high reproducibility. Representative variants showed strong concordance with orthogonal low-throughput validation assays. We further developed a deep learning framework leveraging VAMP-seq derived HBZ data to predict variant abundance across thalassemia-associated globin paralogs (HBA, HBB, and HBG1) not experimentally tractable. Our hybrid framework demonstrates how targeted experimental profiling combined with AI-driven extrapolation can accelerate variant interpretation across protein family members.

genetics↗

bioRxiv2026

Scalable longitudinal imaging and transcriptomics of cells in dynamic enclosures

Dynamic transitions between cell states underlie both normal physiology and disease. However, most single-cell technologies capture only static snapshots. To address this gap, we developed a platform that integrates light-guided hydrogel polymerization with computer vision to generate on-demand compartments around live cells, enabling longitudinal imaging of cellular behavior paired with whole-transcriptome profiling of the same cells at scale. These data link dynamic phenotypes with molecular programs, enabling deeper characterization of cellular states. This approach revealed an adaptive, drug-resistant state in lung cancer cells characterized by potassium channel upregulation and p53-dependent quiescence. In models of adipogenesis and microglial phagocytosis, joint analysis of imaging and transcriptomic data identified key drivers of cellular function that were missed by transcriptomic clustering alone. These results establish the value of paired functional and transcriptomic analysis to resolve molecular drivers of complex cellular behaviors.

systems biology↗

bioRxiv2026

IMMREP25: Unseen Peptides

T cell receptors (TCRs) can bind to peptides presented by MHC molecules (pMHC) as a first step to trigger a T cell response. Reliable approaches to predict TCR:pMHC binding would have broad applications in clinical diagnostics, therapeutics, and the fundamental understanding of molecular interactions. IMMREP is a community organized series of prediction contests that asks participants to predict TCR:pMHC binding on unpublished datasets. Previous iterations in 2022 and 2023 showed multiple approaches can predict TCR-pMHC binding with significant accuracy (median AUC_0.1[≥]0.7) for peptides where experimental data is available ("seen" peptides). In contrast, models did not outperform random guessing for peptides that have no such data available ("unseen" peptides). Here we report on the results of IMMREP25, which focused solely on unseen peptides in order to evaluate the cutting edge of the field. We received 126 named submissions predicting the specificity of 1,000 TCRs against twenty unseen peptides restricted by one of two MHC molecules (HLA-A*02:01 and HLA-B*40:01). The best performing methods showed a macro-AUC_0.1 of 0.60, significantly better than random, demonstrating significant advances in the field. The top performing methods incorporated structural modeling into their approach, indicating that especially for unseen peptides, a structural understanding aids in the prediction of TCR:pMHC interactions. The results from this benchmark highlight the significant challenges remaining for TCR:pMHC predictions and will inform future method development.

bioinformatics↗

bioRxiv2026

Arc Capsids Facilitate the Transfer of Muscleblind.

The Drosophila activity-regulated cytoskeletal-associated protein (dArc1) can facilitate viral-like synaptic transfer of its own mRNA through dArc1 capsid formation. This transfer promotes synaptic maturation at the Drosophila neuromuscular junction and shows conservation to the mammalian neural synapse through the dArc1 mammalian ortholog, Arc. Recently, we established that dArc1 can interact with several transcripts other than its own in Drosophila including the transcript of muscleblind (Mbl), an RNA splicing factor known to be involved in neuronal and muscle development. Here, we demonstrate this interaction is further conserved to Arc and the mammalian Mbl ortholog Muscleblind Like Splicing Regulator 1 (Mbnl1). In the mouse neuro2a (N2A) cell line, immunoprecipitation of Arc protein enriches for both the Arc and Mbnl1 transcript. Upon differentiation of N2A cells, the ability of Arc to bind its own transcript and Mbnl1 are abolished while potassium stimulation of these cells restored Arc interactions with both transcripts, indicating that this interaction is enhanced by neuronal activity. This interaction is further conserved to the mammalian central nervous system, where Mbnl1 shows increased colocalization with Arc protein in the dentate gyrus of foot-shocked mice. Furthermore, we demonstrate that both Arc and Mbnl1 RNA can be detected in extracellular vesicles (EVs), and that Mbnl1, unlike the Arc transcript, is not directly encapsulated by Arc protein. We additionally observe MblA crosses the Drosophila NMJ, likely within EVs, and postsynaptic MblA accumulation is dependent on presynaptic pools of dArc1. Taken together, our data suggest that Arc protein interacts with Mbnl1 RNA in an activity-dependent manner and this interaction may facilitate transsynaptic transfer of Mbnl1 RNA through EVs with implications for neurodevelopment. SignificanceThe immediate early gene Arc is known to play roles in LTP, LTD, memory and is dysregulated in diseases of the CNS in addition to forming a viral-like capsid to allow for intercellular transfer of its own mRNA in a pathway referred to as the Viral-Like Synaptic Transfer of RNA (ViSyToR). Investigating additional members of the ViSyToR pathway will help increase our understanding of how Arc can play such diverse roles in the CNS. In this study, we establish that transcript for Muscleblind is an additional ViSyToR member in both Drosophila and the mammalian CNS.

neuroscience↗

bioRxiv2026

Translational regulation of GAD1 identified by circadian and light-responsive ribosome-bound transcriptome analysis in the mouse hypothalamic suprachiasmatic nucleus

The suprachiasmatic nucleus (SCN) serves as the master circadian pacemaker, integrating regulation of clock genes in the SCN has been extensively studied, whether gene expression in the SCN is regulated at the level of mRNA translation has remained largely unexplored. Here, we report the first ribosome-profiling (Ribo-seq) dataset generated from the mouse SCN, enabling a genome-wide assessment of translational regulation in this central circadian clock. Combined time-series Ribo-seq and RNA-seq analyses identified 385 genes that exhibit rhythmic ribosome binding without corresponding oscillations in mRNA abundance, revealing widespread translational regulation in the SCN. Among these, light stimulation induced an approximately twofold increase in ribosome binding of Gad1, which encodes the major GABA-synthetic enzyme Gad67, despite only marginal changes in Gad1 mRNA levels. Importantly, immunohistochemical analyses demonstrated light-dependent accumulation of Gad67 protein selectively in light-activated SCN neurons, establishing that translational regulation of Gad1 gives rise to overt protein-level changes. In contrast, canonical clock genes were regulated predominantly at the transcriptional level and showed little evidence of translational modulation. Our data allow a systematic comparison between transcriptionally and translationally regulated genes, including their relative rhythm-amplitudes and phases, and thereby revealed translational control as a distinct modulatory layer shaping time-of-day-dependent and light-dependent gene expression in the SCN.

neuroscience↗

bioRxiv2026

Multi-Omics Reveals Activated Fibroblasts with Dual Functional Roles in Repair and Negative Barrier in the CD8+ T Cell Cytotoxic Niche for Lung Cancer Neoadjuvant Therapy

A major challenge in elucidating immune activation and tolerance is that single-omics technologies are inherently limited. Since single-cell transcriptomics lacks spatial information and spatial transcriptomics lacks resolution or depth, neither can adequately model the multidimensional tumor immune microenvironment (TiME) features. We present NICHE (Niche Integrated Cellular Heterogeneity Elucidator), an integrative multi-omics framework. By aligning physical cell-cell interactions with single-cell ligand-receptor (L-R) expression, NICHE leverages single-cell transcriptomics, spatial proteomics, and AI modeling to systematically decode the composition, spatial interactions, and communications within immune functional niches. To validate NICHEs capabilities, we applied it to human tonsil tissue. The framework successfully identified key structural and functional units and deeply elucidated the cell-cell interactions and molecular crosstalk within them. Furthermore, these results were validated through orthogonal methods, including single-cell spatial transcriptomics and multiplexed immunofluorescence, which confirmed the accuracy and reproducibility of our analyses. In non-small cell lung cancer (NSCLC) patients undergoing neoadjuvant immunotherapy, CD8+ T cell cytotoxic niches mediate tumor clearance with variable outcomes, to define the cellular and molecular drivers behind this functional spectrum, we utilized NICHE to analyze the TiME from patients with complete versus partial pathological response, both pre- and post-treatment. We found that neoadjuvant immunotherapy may induce the activation of CXCL12+, NECTIN2+, POSTN+, and COL6A1+ fibroblasts through the activation of cytotoxic T cells. Paradoxically, these fibroblasts support tissue repair but also establish an immunosuppressive niche that protects residual tumor cells, ultimately attenuating treatment efficacy. Our work establishes a multidimensional framework for dissecting dynamic immune activity, with direct implications for understanding tumor immunology and identifying novel therapeutic targets.

immunology↗

bioRxiv2025

CellTok: Early-Fusion Multimodal Large Language Model for Single-Cell Transcriptomics via Tokenization

Large language models (LLMs) can process diverse forms of information once they are represented as tokens in a shared sequence space. However, single-cell transcriptomes remain a foreign modality to LLMs because they are continuous, high-dimensional molecular profiles rather than discrete linguistic units. Here, we propose CellTok, a tokenized single-cell language modeling approach that converts transcriptomic profiles into compact cellular token sequences and incorporates them into the vocabulary of a pretrained LLM. By representing cells as native tokens, CellTok enables cellular measurements, textual instructions, biological context, and multi-cell populations to be jointly processed within the same autoregressive modeling framework. Across diverse tasks, CellTok enable LLMs to recognize individual cells, interpret homogeneous and heterogeneous cell populations, infer disease-associated cellular states, predict cell-cell communication, model developmental trajectories, and generate cellular states. Moreover, prompt-based experiments show that providing appropriate biological context improves performance, indicating that CellTok can leverage LLM knowledge and contextual reasoning to support cellular data interpretation. These results demonstrate that single-cell transcriptomes can be transformed from a foreign molecular modality into a native language for LLMs, establishing a unified interface for modeling cells, populations, and biological knowledge in a shared token space.

bioinformatics↗

bioRxiv2025

A Novel 3D Visualization Method in Mice Identifies the Periportal Lamellar Complex (PLC) as a Key Regulator of Hepatic Ductal and Neuronal Branching Morphogenesis

The liver is a complex organ responsible for multiple functions, including metabolism, energy storage, detoxification, bile secretion, and immune regulation. Its highly organized vascular system plays a crucial role in maintaining functional zonation and tissue homeostasis. Within the liver, the hepatic artery, portal vein, hepatic vein, bile duct, and nerve networks intertwine to form an intricate three-dimensional architecture; however, traditional two-dimensional imaging fails to reveal their true spatial relationships, and current three-dimensional imaging methods remain insufficient to capture fine structural details. To achieve comprehensive visualization of these multi-ductal systems, we established a high-resolution three-dimensional imaging platform that combines multicolor perfusion of metallic compound nanoparticles (MCNPs) with an optimized tissue-clearing protocol (Liver-CUBIC), enabling simultaneous 3D reconstruction of the portal vein, hepatic artery, bile duct, and hepatic vein in mouse livers. Based on these data, we identified and defined a previously unrecognized structure located in the outer layer of the portal vein, termed the Periportal Lamellar Complex (PLC). The PLC encircles the portal vein between the vascular endothelium and the perisinusoidal region, exhibits low-permeability barrier characteristics, and contains a distinctive population of CD34Sca-1 endothelial cells. During liver fibrosis, the PLC extends from the portal vein toward the hepatic lobule, forming a structural scaffold that guides bile duct and nerve migration.

developmental biology↗

bioRxiv2025

Fully Automated and Scalable Pipeline for Macaque Brain Registration

With the rapid development of various whole-brain ex vivo imaging technologies, there is a growing need to develop cross-modal 3D image registration methods to integrate multimodal imaging datasets. While comprehensive cross-modality registration tools such as D-LMBmap and mBrainAligner have been successfully implemented for mouse brains, macaque whole-brain registration presents unique challenges. These include more pronounced non-uniform deformations in larger ex vivo specimens, greater modality-specific contrast differences relative to standard space, and increased inter-individual variability. To address these challenges, we developed Macaca-Star, which incorporates deep learning models and self-individual MRI to tackle cross-modal and ex vivo sample deformation challenges in macaque whole-brain registration. Macaca-Star provides fully automated alignment of fMOST and 2D fluorescent slice images to the NMT MRI standard space, allowing for comprehensive integration of anterograde axonal projections and retrograde-traced neuronal soma profiles.

neuroscience↗

bioRxiv2025

The anaerobic WOR-3 Bacteria: Hydrogenotrophic metabolism and unique carbon fixation via Archaeal form III RuBisCO

The uncultured WOR-3 phylum is widely distributed in anaerobic environments, including hot springs, marine ecosystems, and hydrothermal vents, yet its ecological roles and metabolic capabilities remain poorly understood. In this study, we analyzed 180 medium- to high-quality metagenome-assembled genomes (MAGs), including 59 newly reconstructed from environmental samples and 121 retrieved from the Genome Taxonomy Database (GTDB). Phylogenetic analyses resolved the WOR-3 lineage into four subgroups (subgroup 1-4). Metabolic reconstruction revealed significant divergence of the carbon, sulfur, nitrogen and hydrogen metabolism pathways among the different subgroups. Subgroup 1 was characterized by fermentative metabolism involving formate and ethanol, and uniquely exhibited potential for carbon fixation via Calvin cycle, as indicated by the presence of ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO) gene. Notably, WOR-3 RuBisCO is phylogenetically affiliated with archaeal form III, although the carbon fixation pathway follows the canonical bacterial Calvin cycle--a feature of potential evolutionary significance. Subgroup 3 exhibits metabolic versatility, including genes for dissimilatory sulfate reduction, sulfur oxidation, partial denitrification, and fatty acid degradation. In addition, all subgroups harbored key components of hydrogen metabolism, including widespread NiFe hydrogenases and Rnf complexes, supporting H2-dependent electron transfer and energy conservation under anaerobic conditions. Featuring near-universal presence of complexes I and II and frequent occurrence of terminal oxidases (cydAB and coxABC)--suggests a facultative anaerobic lifestyle. Collectively, this study expands the genomic framework for the WOR-3 phylum and provides novel insights into the metabolic versatility and ecological functions of this previously uncharacterized lineage in biogeochemical cycles of carbon, nitrogen, and sulfur. IMPORTANCEThe WOR-3 phylum represents a widespread but poorly understood bacterial lineage inhabiting diverse anaerobic/microaerobic environments. By integrating 180 metagenome-assembled genomes, including 59 newly reconstructed, this study provides the most comprehensive genomic framework to date for WOR-3. Phylogenomic and metabolic analyses revealed four distinct subgroups with divergent capacities for carbon, sulfur, and nitrogen metabolism. Notably, subgroup 1 encodes a complete Calvin-Benson-Bassham (CBB) cycle featuring an archaeal-type form III RuBisCO, suggesting an unusual evolutionary trajectory for carbon fixation in this lineage. Subgroup 3 exhibits versatile metabolic potential, including dissimilatory sulfur metabolism, partial denitrification, and fatty acid degradation, highlighting its possible roles in multiple biogeochemical processes. The widespread presence of hydrogenases and respiratory complexes across all subgroups supports energy conservation under anaerobic or microaerobic conditions. These findings not only expand the taxonomic and functional landscape of the WOR-3 phylum but also offer key insights into its ecological roles in global element cycling.

microbiology↗

bioRxiv2025

Secondary structure transitions and dual PIP2 binding define cardiac KCNQ1-KCNE1 channel gating

The KCNQ1+KCNE1 potassium channel complex forms the slow delayed rectifier current (IKs) critical for cardiac repolarization. Loss-of-function variants in KCNQ1 and KCNE1 cause long QT syndrome types 1 and 5 (LQT1/LQT5), accounting for over one-third of clinical LQTS cases. Despite prior structural work on KCNQ1 and KCNQ1+KCNE3, the structural basis of KCNQ1+KCNE1 remains unresolved. Using cryo-EM and electrophysiology, we determined high-resolution (2.5-3.4 [A]) structures of human KCNQ1+KCNE1 in both closed and open states. KCNE1 occupies a pivotal position at the interface of three KCNQ1 subunits, inducing seven "helix-to-loop" transitions in KCNQ1 transmembrane segments. These structural rearrangements: 1) stabilize the closed pore and the conformation of the intermediate voltage-sensing domain, thereby determining channel gating, ion permeation, and single channel conductance; 2) enable a dual-PIP2 modulation mechanism, where one PIP2 occupies the canonical site, while the second PIP2 bridges the S4-S5 linker, KCNE1, and the adjacent S6, stabilizing channel opening; 3) create a fenestration capable of binding compounds specific for KCNQ1+KCNE1 (e.g., AC-1). Together, these findings reveal a previously unrecognized large-scale secondary structural transition during ion channel gating that fine-tunes IKs function and provides a foundation for targeted LQTS therapy development.

biophysics↗

bioRxiv2025

Observing Grazing Behavior Transitions in Cafeteria roenbergensis with Video-Rate Two-Photon Microscopy

Grazing behavior of free-living aquatic heterotrophic nanoflagellates (HNFs) on bacteria plays a central role in shaping microbial community structure and nutrient cycling. However, direct observation of these interactions has been limited by the rapid motility of flagellates and the transient nature of predator-prey encounters. To address this gap, this study presents a novel application of video-rate two-photon fluorescence microscopy for high resolution, real-time imaging of fast-moving microorganisms. HNF Cafeteria roenbergensis is used as a model system to investigate dynamic grazing interactions between fluorescently stained bacteria and the flagellates, where the flagellates are detected via their intrinsic cellular autofluorescence. This two-photon microscope combined with real-time imaging capability enables continuous capture of contact, capture, ingestion, and digestion steps during grazing. Quantitative analysis across varying prey concentration reveals phase-specific durations and saturation behavior in grazing activities. Furthermore, transitions in grazing dynamics across two continuous periods of flagellates in starved and fed conditions are observed in live time series videos. This technique provides a powerful new tool to study rapid microbial interactions in situ and can be broadly applicable to diverse microbe-microbe systems. With the integration of targeted fluorescent molecular probes, this technique holds significant potential for uncovering mechanical and biochemical interactions underlying microbial feeding and communication. SignificanceThis study significantly advances microbial ecology by applying video-rate two-photon fluorescence microscopy to directly visualize and quantify the rapid grazing behavior of flagellates on bacteria. By enabling real-time observation of contact, ingestion, and digestion during the grazing events, the technique overcomes limitations of traditional imaging. It captures behavioral transitions tied to physiological states, offering quantitative insight into microbial predator-prey dynamics. This method establishes a broadly applicable platform for studying fast, transient microbial interactions. Although current limitations include the lack of 3D tracking, emerging optical technologies promise enhanced capabilities, paving the way for deeper understanding of microbial processes in aquatic ecosystems.

biophysics↗