Advanced Science

Nonunion fractures remain a costly and persistent challenge in regenerative medicine, with current treatments limited by donor-site morbidity, restricted graft availability, and severe adverse effects associated with supraphysiological bone morphogenetic protein 2 (BMP-2) delivery, including ectopic ossification and inflammation. Endogenous BMP-2 signaling is tightly regulated in adult tissues, constraining the precision and scalability of approaches based on transcriptional upregulation or bolus growth factor administration. To address these limitations, we developed a two-phase integrated computational-experimental pipeline for the de novo design of protein binders targeting the BMP-2 knuckle epitope, a receptor-binding surface corresponding to BMPR-II engagement, enabling affinity-tuned modulation of BMP-2 activity rather than uncontrolled pathway activation. Phase I employed PyRosetta-based {beta}-strand motif grafting and physics-based docking protocols to generate 264 candidate binders, followed by deep-learning-driven refinement in Phase II using partial RFDiffusion and ProteinMPNN with AlphaFold2 validation, yielding 22 candidates with stable {beta}-sheet architectures consistent with knuckle-epitope targeting. Experimental validation demonstrated dose-dependent BMP-2 binding, with the lead construct exhibiting an apparent KD of 2.07 nM toward BMP-2. Targeted alanine substitutions revealed differential residue contributions, with mutation of T42 significantly disrupting binding, while other substitutions had more modest effects, indicating a partially hotspot-driven interface supported by other interactions.

Non-invasive neuromodulation can influence memory, but whether peripheral stimulation can engage hippocampal plasticity through a defined mechanism and translate across species remains unclear. Here we provide, to our knowledge, the first cross-species evidence linking trigeminal nerve stimulation to sustained hippocampal plasticity, direct human hippocampal engagement and associative-memory benefit. In rats, intermittent 200 Hz TNS produced persistent CA1 fEPSP potentiation and prolonged neuronal firing despite substantially lower cumulative charge than continuous 100-Hz stimulation. LC inhibition strongly suppressed these responses. In patients undergoing stereo-EEG monitoring, i200-TNS evoked prominent hippocampal and thalamic responses and increased hippocampal theta-gamma coupling. In a randomized active-sham crossover study, i200-TNS was associated with improved delayed occupation recall and accompanying EEG changes. These results link patterned trigeminal stimulation to hippocampal physiology across species and support its potential for engaging human memory-related networks.

Abstract The gayal (Bos frontalis) is an endangered semi-domesticated bovine species renowned for its high-quality beef. However, its semi-feral lifestyle, ongoing habitat fragmentation, and extensive genetic introgression from sympatric local cattle have led to dramatic population decline and severe erosion of purebred genetic integrity, posing substantial challenges to its conservation and utilization. To address the urgent demand for rapid, non-invasive, and field-compatible germplasm identification, we developed an integrated artificial intelligence (AI) framework that predicts genomic admixture composition from external morphological images. We constructed a comprehensive dataset comprising 6,245 morphological images and matched genomic sequences from 52 gayals maintained at the Yunnan Provincial Gayal Conservation Farms. Following a preliminary evaluation of nine deep learning models, five were incorporated into a anatomical segment-based multi-modal pipeline, among which Inception_V3 delivered the optimal overall performance. To enhance simultaneous extraction of local fine-grained features and global structural information, we further designed an innovative HybridInceptionViT model by integrating the multi-scale Inception module with the Vision Transformer (ViT) framework. This hybrid model significantly outperformed the baseline Inception_V3, boosting the accuracy of phenotype-derived prediction against genomic admixture estimate from 69.69% to 87.87% (absolute error <15%). This study establishes a practical, low-cost "phenotype-to-genotype" tool for rapid on-site gayal germplasm screening, offering a scalable strategy for the conservation and breeding management of endangered livestock, and holds broad application prospects for agricultural and livestock production systems.

Extracellular vesicle (EV)-derived microRNAs serve as important biomarkers for cancer diagnosis, yet their accurate detection remains limited by insufficient control of nucleic acid recognition and signal activation. Here, we identified a previously unrecognized feature of CRISPR/Cas12a, in which incorporation of ribonucleotides into single stranded DNA targets modulates Cas12a activation efficiency, revealing a hybrid DNA/RNA-dependent regulation of Cas12a activity. Leveraging this mechanism, we established a programmable detection strategy that enables sequence dependent tuning of Cas12a activation without the need for target amplification. By coupling DNAzyme mediated cleavage with Cas12a trans-cleavage, a cascade signal amplification system was established, enabling highly sensitive and selective detection of miRNAs. To facilitate clinical applications, an EV-based sample processing strategy was integrated to simplify isolation of EV associated miRNAs and allow direct miRNA detection without conventional RNA extraction. The resulting platform demonstrated robust discrimination of multiple miRNA targets in clinical cohorts and supported accurate classification of cancer subtypes according to expression signatures. By integrating machine learning analysis, the system accurate distinguished breast cancer (BC) patients from healthy donors (HD), as well as triple-negative breast cancer (TNBC) from BC. This study provides a mechanism-guided strategy for programmable CRISPR-based nucleic acid detection in complex biological samples.

The perception of stickiness is known to everyone who interacts with the world. While eating, walking, and navigating diverse environments including crowded subways, forests, fields and lunchrooms, stickiness is a common and old sensation. Responses to sticky stimuli have been measured in animal and human brains; however, precise behavioral responses and the underlying neural mechanisms are not well understood. We applied sticky stimuli to three-week-old rat pups and found the effects vary greatly across the animals body: Sticky stimuli are quickly removed from forepaws and nose, but often evoke only little reaction from hindpaws. When we applied sticky (marshmallow, mochi) and non-sticky stimuli (water, oil) to forepaws, we observed stimulus unspecific behaviors (licking and grooming) with variable response onsets as well as three fast-onset sticky-specific behaviors. Sticky-specific behaviors were exclusively triggered by sticky stimuli and included paw shaking and paw swiping (behaviors presumably aiming at stickiness removal) and paw tapping. In tapping, animals gently tap their forepaws onto each other or on the ground; we wondered if the resulting paw-substrate detachments serve stickiness sensing. Blocking of forepaw skin sensation reduced sticky-specific responses to sticky stimuli compared to control conditions (Ringers injections). To assess central representations of stickiness, we obtained in vivo whole-cell recordings of neurons in forepaw-somatosensory-cortex while presenting sticky and non-sticky stimuli to anesthetized rat pups. While responses were heterogeneous across the population, we observed individual neurons that had significantly different responses to stimulus detachment for sticky and non-sticky stimuli. In summary, we describe a fast-onset, body-part-specific stickiness response system in rats, which is strongly driven by forepaw skin afferents. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=142 SRC="FIGDIR/small/742745v1_ufig1.gif" ALT="Figure 1"> View larger version (38K): org.highwire.dtl.DTLVardef@2ad341org.highwire.dtl.DTLVardef@1936c2forg.highwire.dtl.DTLVardef@1a39d23org.highwire.dtl.DTLVardef@a196e9_HPS_FORMAT_FIGEXP M_FIG C_FIG

The emergence of antibiotic-resistant pathogens such as Staphylococcus aureus demands accelerated antimicrobial discovery strategies. Artificial intelligence (AI) enables large-scale inference of candidate antimicrobial peptides (AMPs), yet experimental validation remains essential to determine whether predictions translate into biological function. Genome-guided mining, rather than unconstrained or randomly generated sequence exploration, offers a biologically grounded search space derived from organisms shaped by ecological and evolutionary pressures. Here, we evaluate this principle using Malassezia furfur, a skin-associated yeast that coexists with bacterial colonizers such as S. aureus, as a genomic source for AI-prioritized antimicrobial candidates. Candidate fragments were generated from two M. furfur genomes, filtered by physicochemical properties, prioritized with deep-learning AMP predictors, synthesized, and experimentally characterized. Selected peptides underwent cross-kingdom antimicrobial screening against S. aureus, combining kinetic growth and ultrastructural assays, complemented by in silico structural prediction, lipid-membrane interaction analysis, and human keratinocyte cytotoxicity evaluation. AI-guided genomic mining enriched biologically motivated sequence space for peptides with measurable antimicrobial activity, while revealing biases and generalizability limits of AI-based AMP inference. Closing the loop between genome-derived candidate generation, AI-based inference, synthesis, and functional characterization, this study provides an experimental assessment of model-guided AMP discovery and a reproducible route from computational prediction to validated antimicrobial candidates.

Engineered heart tissues (EHTs) represent an innovative platform enabling physiologically relevant in vitro evaluation of drug-induced cardiac responses. While functional characterization remains central to EHTs, molecular profiling is increasingly used to elucidate mechanisms underlying drug-induced phenotypes. Proteomics provides broad molecular characterization of drug responses at the protein level, yet the complexity, heterogeneity, and high dimensionality of proteomics datasets challenge conventional statistical approaches, which are not designed for cross-modal integration and streamlined multi-omics analysis. In this study, we developed an innovative framework based on topological data analysis (TDA) for the integration of large proteomics profiles and functional readouts to investigate system-level responses to drugs with opposing inotropic effects, epinephrine and doxorubicin. Samples were organized into a topological connectivity network according to multimodal similarity enabling simultaneous exploration of treatments, cardiac function and proteome alterations. Highly correlated features were then used for pathway enrichment analysis, which revealed strong similarities between the enrichment profiles associated with contractile force and epinephrine. These findings are consistent with the positive inotropic effect of epinephrine, whereas doxorubicin exhibited an opposing enrichment profile. Energy homeostasis, mitochondrial translation and proteostasis emerged as the major cellular processes displaying opposite associations with the two inotropic drugs, highlighting a link between cardiac contractility and perturbations in these processes. In conclusion, our TDA-based framework successfully integrated functional and proteomic data to uncover treatment-specific remodeling in EHTs, offering a modular and scalable approach that could be adapted to other in vitro organ models for systems-level mechanistic studies and next-generation drug development.

Understanding the feeding-induced neuropeptidome cascade requires analytical strategies capable of quantifying low-abundance, highly modified peptides across multiple tissues and time points. Herein, we apply 12-plex N,N-dimethyl leucine (DiLeu) isobaric labeling to perform the first multiplexed, tissue-wide, temporal quantitation of the Cancer borealis feeding neuropeptidome. This approach enabled sensitive measurement of neuropeptides across five tissues over six timepoints, revealing distinct regulatory patterns. The pericardial organ (PO) showed rapid early upregulation followed by suppression aligned with foregut emptying, whereas the thoracic ganglion (TG) displayed inverse and strongly condition-dependent responses, indicating previously unrecognized neuromodulatory roles. Single-residue variants and post-translational modifications, including pyro-Glu formation and amidation, produced markedly different temporal profiles, underscoring the functional specificity of closely related isoforms. We further identify differential regulation of proctolin and its amidated form, suggesting modified variants may contribute uniquely to feeding physiology. Collectively, these results establish multiplexed DiLeu labeling as a powerful platform for quantitative neuropeptidomics and reveal new dimensions of peptide-mediated feeding regulation.

Chronic, mechanically resilient thrombi remain difficult to remove rapidly and safely using existing therapies, which are limited by slow treatment speeds, reduced efficacy against aged clots and risks associated with embolic debris. Here we introduce Constrained Laser-Induced Cavitation (CLIC), a novel approach that confines laser-induced cavitation bubble generation and collapse within a miniaturized waveguide to enhance thrombolysis. Optimized CLIC removed retracted clots at a mass-loss rate of 393.5 mg/min, [~]40-fold higher than reported state-of-the-art sonothrombolysis under similar conditions. Systematic variation of channel length and laser parameters showed that CLIC efficacy depends strongly on treatment geometry and cavitation dynamics. Post-treatment analysis revealed cylindrical channels consistent with clot removal dominated by fluid jetting and suction-driven evacuation, with cavitation shockwaves likely contributing a secondary role. Debris fragment measurements remained predominantly below a 1 mm embolic-risk threshold, consistent with a promising embolic safety profile. These findings establish CLIC as a viable strategy for rapid thrombolysis of chronic, mechanically resistant thrombi.

Vascularization, which is critical for most engineered tissue constructs, is dependent on interactions between endothelial cells and spatiotemporally presented biochemical and biophysical cues. Yet, most hydrogels define these cues at the time of fabrication, thus precluding adjustments to actively drive vascular formation. We developed acoustically responsive scaffolds (ARSs) that use focused ultrasound to trigger growth factor release and localized matrix remodeling within fibrin hydrogels. ARSs were formed by incorporating phase-shift emulsions containing basic fibroblast growth factor (bFGF) along with perfluorohexane (C6) or perfluorooctane (C8). Upon ultrasound exposure, stable bubbles were generated in C6-ARSs that locally compacted the matrix and increased macroscale stiffness. Comparatively, in C8-ARSs, ultrasound generated macropores without impacting viscoelastic properties. Ultrasound increased bFGF release from both ARS types, which enhanced in vitro and in vivo vasculogenic assembly in ARSs with co-encapsulated endothelial cells and fibroblasts. Our data also show that ultrasound-driven matrix remodeling without bFGF release increased endothelial sprouting. In C6-ARSs, elevated levels of F-actin were observed in both cell types adjacent to bubbles as well as increased YAP intensity and nuclear asymmetry. Together, these results establish ARSs as reconfigurable hydrogels that couple on-demand release of biochemical cues with programmable matrix restructuring to direct three-dimensional microvascular assembly.

The rise of antifungal resistance and limited antifungal drug classes creates an urgent need for biomaterials with localized, programmable activity. Here, we engineered curli nanofibers displaying the antifungal peptide heliomicin and unexpectedly discovered that wild-type CsgA itself exhibits intrinsic antifungal activity against Candida albicans, reducing fungal viability by approximately 2 log units. Heliomicin fusion enhanced this activity to a 3.5-log fungicidal reduction while preserving nanofiber self-assembly, hydrogel formation, mechanical properties, and 3D printability. Mechanistic analyses linked enhanced activity to membrane disruption and expansion of the cationic surface of CsgA. Heliomicin-CsgA hydrogels further reduced fungal burden and suppressed hyphal development in an ex vivo porcine skin infection model. These findings reveal that extracellular protein nanofibers can harbor intrinsic biological activities that can be uncovered and enhanced through protein engineering, establishing a strategy for developing intrinsically bioactive, programmable biomaterials for localized therapeutic applications against fungal pathogens and potentially other microbial infections.

Direct modulation of neural activity with high spatiotemporal precision is a cornerstone in experimental neuroscience. Here, we present a blood-mediated optoacoustic stimulation (BOAS) approach that utilizes blood as an endogenous transducer for brain stimulation. By delivering 532-nm nanosecond pulsed laser to the cortex, we demonstrate that the absorption of hemoglobin generates sufficient acoustic pressure to trigger neuronal activity. By integrating BOAS with calcium imaging in GCaMP6f-expressing mice, localized neuronal responses were observed. Quantitative analysis reveals that BOAS produces responses comparable to natural visual stimulation and is significantly more efficient than the photothermal stimulation. Furthermore, we show that the response is dose-dependent. At high energy doses, BOAS induces cortical spreading depression. Histological evaluation confirmed that the brain maintains tissue integrity even under these stimulation parameters. Together, this work establishes a versatile method for precise brain stimulation as an alternative method for stimulating neuron at cortex.

N6-methyladenosine (m6A) modification is the most predominant and ubiquitous internal modification of RNA in eukaryotes, serving as a key post-transcriptional regulator of gene expression that is dynamically modulated by methyltransferases (writers) and demethylases (erasers). However, while the functions of m6A methylases have been partially elucidated in insects, the identity of m6A erasers in arthropods and their chemical catalytic mechanisms, as well as biological functions, remains largely enigmatic. Here, we uncovered 2499 putative methylase genes and 1148 putative demethylase genes in 266 insect genomes, and demonstrated that ALKBH4 functions as an m6A demethylase in the whitefly, Bemisia tabaci, catalyzing the oxidative reversal of mRNA m6A modifications both in vitro and in vivo. Furthermore, we established that ALKBH4, in coordination with other core components of the m6A pathway, fulfills an essential function in regulating the transcript stability of Imaginal Disk Growth Factor 1 (IDGF1) during whitefly development. Collectively, our findings expand the evolutionary scope of the eukaryotic m6A modification system, and reveal a conserved yet insect-specific epitranscriptomic regulatory mechanism governing fundamental physiological processes and adaptive phenotypes. Significance statementThe addition of a methyl group to the N6-position of adenosine (m6A) is a highly abundant chemical modification of RNA. However, the functional role of m6A in insects and the key enzymes that regulate its levels remains poorly understood. In this study, we explored putative methylase genes and demethylase genes in hundreds insect genomes, and identified an m6A RNA demethylase, ALKBH4, in the whitefly, Bemisia tabaci. We demonstrate that ALKBH4 oxidatively reverses mRNA methylation in vivo and in vitro, in combination with other components of the m6A pathway, plays an important role in whitefly development. These findings provide new insight into m6A methylation system of insect.

The physicochemical controls governing metal acquisition, release, and redistribution across biological interfaces remain poorly understood. Biophytometallurgy--the microbially assisted release and recovery of plant-associated metals--was used to probe the directionality of the mechanisms controlling nickel and rare earth element (REE) release from Phytolacca during solid-liquid extraction. Bulk characterization did not support a dominant crystalline REE-phosphate-like host in hydroponically enriched shoots. Dissolution and rebinding experiments instead revealed chemically accessible nickel and REE pools, the latter of which had behaviors consistent with apparent equilibrium-like partitioning under mildly acidic conditions. During sulfur biooxidation, Acidithiobacillus ferrooxidans promoted REE release while providing a competing cell-associated REE sink. Consequently, aqueous REE concentrations reflected net redistribution among the separable plant, solution, and microbial phases instead of dissolution alone. These results establish a framework for studying metal partitioning across complex and coupled biological systems and support a route for aqueous REE recovery from plants without thermochemical conversion to ash.

Encrypted antimicrobial peptides (eAMPs) are bioactive fragments embedded within larger proteins and represent an underexplored source of antimicrobial candidates. We developed a multi-layer proteome-mining framework to identify and prioritise eAMPs from 95%-identity-reduced protein sets derived from 265 high-quality bacterial genomes. Three complementary, layer-specific extraction strategies targeting protein termini, internal cleavage sites, and cationic hotspots yielded 29,251,180 unique peptide candidates. Dual AMP prediction with AMP-scanner v2 and Macrel reduced this space to 3,249,772 consensus candidates. Downstream prioritisation followed two complementary routes: a low-haemolysis branch focused on selectivity-oriented candidates and a high-activity branch that retained predicted haemolytic sequences as mechanistic comparators. Structure prediction and review were performed for 185 candidates, and 18 entered Tier-1 developability, novelty, and membrane-activity assessment. Three sequence-matched representatives were selected for experimental evaluation. Molecular-dynamics simulations supported water-phase stability of GEAMP_71c139393ac596b5 and deep anionic-membrane insertion by GEAMP_12ffb5d589c8cb1b. In replicated colony-count assays against Escherichia coli and Staphylococcus aureus, all three peptides showed concentration-dependent activity over 8-128 uM. GEAMP_12ffb5d589c8cb1b was the most active, producing 1.52- and 2.27-log10 reductions, respectively, at 128 uM relative to the matched 8 uM condition. Together, these results establish a sequence-traceable workflow linking proteome-scale eAMP discovery with structural prioritisation and experimental activity assessment.

Cells continuously integrate mechanical cues from the surrounding extracellular matrix to control fundamental biological processes such as proliferation and migration. Yet, studying the mechanical activity of cells in 3D over time is challenging, low-throughput, and requires specialized equipment. Here, we introduce DNA-based force-history probes, which convert transient pico-Newton forces into cumulative fluorescent signals within a mechanically adjustable DNA-crosslinked cell culture matrix. The probes provide control over signal lifetimes, allowing stress patterns to be recorded over minutes to days with tunable temporal memory. We use this system to visualize the mechanical activity of breast cancer spheroids and map the trajectories of migrating cancer cells. By combining different fluorophores and DNA-encoded signal lifetimes, we produce dual-color probes that associate temporal information to mechanical events. Overall, force-history probes provide an endpoint-readable record of mechanical cell-matrix activity, offering new opportunities for studying cell function in physiology and disease.

The development of novel mechanomedicine technologies critically depends on the ability to administer a well-defined mechanical dosage to cells. Unlike chemical cues, mechanical signals are vectorial rather than scalar, making their precise delivery inherently complex. When external mechanical stimuli are applied to cells seeded on a flat substrate, the mechanical dose experienced by each cell varies depending on its orientation and conformation, rendering consistent and effective mechano-modulation impractical. Here, we introduce a substrate-guided mechanical stimulation strategy that standardizes mechanical dose delivery at the population level by controlling cell orientation. Using nanogrooved PDMS substrates integrated into a uniaxial stretching platform, we induced coherent alignment of NIH3T3 fibroblasts and their mechanosensitive subcellular structures along the direction of applied strains. Cells cultured on flat or nanogrooved substrates were subjected to sustained uniaxial strains of 8% and 29%, and their responses were quantified in real time by live-cell fluorescence imaging. Nanogroove-induced alignment enabled uniform transmission of substrate strain to focal adhesions and the cytoskeleton, resulting in coherent and quantifiable nuclear deformation across the cell population. In contrast, cells on flat substrates exhibited orientation-dependent deformation modes that canceled out at the population level, leading to heterogeneous and attenuated responses. While cellular adaptation to sustained strain was primarily governed by strain magnitude, substrate-guided alignment markedly reduced cell-to-cell variability in mechanical signal perception. Overall, this work establishes cell alignment as a key parameter for standardizing mechanical dose delivery and improving the reproducibility of mechanobiology experiments and the design of mechanically active biomaterials.

Cationic cell-penetrating peptides (+CPPs) are pervasive killer peptides produced by all animals and found in innate immune systems, venoms and neurodegenerative diseases. Despite their ubiquity, the mechanisms underlying their uptake remain opaque and intensely debated. Here, we interrogate +CPPs spanning 600 million years of animal evolution and identify endocytosis as a conserved/convergent uptake mechanism across cell types and organisms, at physiological concentrations. By combining multiplex imaging, genetic screening, cryo-electron tomography, and biophysical methods, we uncover that +CPPs seemingly universally enter eukaryote cells via 'hitchhiking' on lipoproteins. We further show that the interaction of +CPPs with lipoproteins modulates their antimicrobial function. Combined, our findings establish a unified molecular framework describing a pan-eukaryote cell penetrance mechanism. As hyperlipidemia is a common comorbidity, our findings have direct implications for human health. Lastly, the insights gleaned from this work highlight design principles that may inform the future engineering of peptide-based therapeutics and delivery vehicles.

Ulcerative colitis (UC) is a global health challenge driven by immune dysregulation and gut microbiota imbalance.1 Current treatments, limited by insufficient efficacy and systemic toxicity during prolonged use, fail to resolve the intertwined immune-microbial pathology.2 Here, we report an orally administered self-assembled hydrogel C2-(IIRR)2I-NH2 (CIR), engineered from host defense peptides, which disrupts the immune-microbiota entanglement. The CIR hydrogel exhibits structural transformation at the inflamed sites rich in liposaccharide (LPS), a pro-inflammatory molecule derived from pathogenic bacteria. Stable {beta}-sheet nanofibers can transfer to bioactive -helix conformations, enabling localized therapeutic action with minimal off-target toxicity. In murine colitis models, CIR restores mucosal integrity and suppresses disease severity, outperforming the first-line drug 5-aminosalicylic acid (5-ASA). Microbiome profiling reveals its capacity to rebalance gut microbiota, depleting LPS produced pathogenic bacteria like Prevotellaceae. Transcriptomic analyses further indicate that CIR silences TLR4-mediated signaling pathway. By synergistically targeting immune dysregulation and microbial dysbiosis, this self-assembled peptide hydrogel establishes a paradigm-shifting strategy for UC, offering clinically translatable potential for multifactorial gastrointestinal disorders.

Comparative phylogeography provides a powerful framework to identify the historical processes shaping biodiversity hotspots by testing whether co-distributed species exhibit shared patterns of diversification. Southeast Asia harbors exceptional biodiversity, yet the extent to which common paleogeographic and climatic drivers have structured diversification across taxa remains poorly understood. Here, we investigated the evolutionary history of five widespread Microhyla species complexes distributed across the Indochinese Peninsula and adjacent regions using dense mitochondrial sampling (1,388 individuals) combined with genome-scale ddRAD sequencing (280 individuals). Across all complexes, both approaches recovered multiple lineages and remarkably congruent phylogeographic breaks and contact/intergradation zones associated with major Indochinese regions, including Myanmar, the Tenasserim-Malay Peninsula, southern Vietnam, and northern Vietnam-southern China, supporting the hypothesis that Indochina functions as a mosaic of stable biogeographic units. However, lineage divergence varied substantially among complexes, suggesting that common biogeographic drivers interacted with species-specific demographic histories. Phylogenomic analyses and cyto-nuclear discordance further revealed historical introgression in every complex, indicating that diversification involved both long-term allopatric isolation and reticulate evolution. These findings portray the Indochinese biodiversity hotspot as a dynamic evolutionary system where cycles of fragmentation and reconnection have repeatedly reshaped lineage boundaries. Moreover, the complex phylogeographic structure recovered exemplifies the urgent need for taxonomic revisions, for which genome-scale data provide an essential framework to validate mitochondrial hypotheses and assess admixture patterns for species delimitation. Finally, regions such as the southern Annamites and Tenasserim Hills emerged as recurrent hotspots of genetic diversity across independent lineages, highlighting their importance for conserving not only species/lineage richness but also the evolutionary processes and adaptive potential that sustain biodiversity.