Biology subjects

Zhao, Y.

Publications and source records attributed to Zhao, Y..

At least 325 records · Page 18Linked to original sources

bioRxiv2025

Enhancing Tissue-Specific Antiviral Immunity to Disrupt Arbovirus Transmission by Mosquitoes

Arboviruses, including dengue virus (DENV), Zika virus (ZIKV), and chikungunya virus (CHIKV), pose a significant global health and economic burden, with Aedes aegypti serving as their primary vector. Arbovirus infection in Ae. aegypti progresses sequentially through the midgut (MG), carcass (CA), and salivary glands (SG), with each tissue exhibiting distinct antiviral responses. Here, we investigate tissue-specific antiviral mechanisms, focusing on the small interfering RNA (siRNA) pathway in SGs. Our results reveal that SGs possess weaker antiviral defense and are more susceptible to arboviral infection compared to MGs and CAs. Notably, overexpression of Dicer2 (Dcr2), a key component of the siRNA pathway, in SGs leads to a significant decrease in arboviral replication. Conversely, Dcr2 overexpression in fat bodies, the primary tissue in CAs, only moderately suppresses DENV2 infection and has no notable effect on Mayaro virus (MAYV) infection. Remarkably, the simultaneous overexpression of Dcr2 in both MGs and SGs enhances antiviral activity, effectively blocking the transmission of multiple arboviruses. These findings reveal the tissue-specific dynamics of mosquito antiviral immunity and underscore the potential for targeting SG-specific immunity to disrupt arbovirus transmission, providing a promising approach for controlling mosquito-borne diseases.

microbiology↗

bioRxiv2025

brain network dynamics during multi-task demands predict children math achievement

Dynamic reconfiguration of neural network and flexible information integration across multiple tasks has been considered critical to characterize individual difference in complex cognition and general intelligence. A promising and underexplored question is how these neurocognitive processes related to childrens academic achievements, a hallmark of high-order cognitive abilities that integrate attention, memory and problem-solving. By using of a multitasking paradigm which bridging outside- in and inside-out approaches, we investigated the dynamic neural mechanisms underlying two core domains of academic performance: math and reading. We first apply partial least squares regression (PLSR) to examine static neural patterns and find that the first latent component--reflecting a generalized brain functional system--predicts math achievement but not reading. The multiple-demand system and the somato-cognitive action network (SCAN) are consistently engaged across diverse task demands. Furthermore, we use a Hidden Markov Model (HMM) to examine dynamic features of brain activity and identify distinct integrated and segregated brain states. Notably, the segregated state--characterized by heightened cortical network segregation--is associated with better math performance. Information-theoretic analyses further reveal that greater complexity in the temporal sequence of the segregated brain functional networks, along with stronger cerebrocerebellar functional coupling, correlates with higher math achievement. By means of multitasks design, these findings suggest that flexible engagement of specialized brain network and automatic information processing is crucial for math learning in children.

neuroscience↗

bioRxiv2025

Overcoming myeloid-driven resistance to CAR T therapy by targeting SPP1

Chimeric antigen receptor (CAR) T cell therapy faces notable limitations in treatment of solid tumors. The suppressive tumor microenvironment (TME), characterized by complex interactions among immune and stromal cells, is gaining recognition in conferring resistance to CAR T cell therapy. Despite the abundance and diversity of macrophages in the TME, their intricate involvement in modulating responses to CAR T cell therapies remains poorly understood. Here, we conducted single-cell RNA sequencing (scRNA-seq) on tumors from 41 glioma patients undergoing IL13R2-targeted CAR T cell therapy, identifying elevated suppressive SPP1 signatures predominantly in macrophages from patients who were resistant to treatment. Further integrative scRNA-seq analysis of high-grade gliomas as well as an interferon-signaling deficient syngeneic mouse model--both resistant to CAR T therapy--demonstrated the role of congruent suppressive pathways in mediating resistance to CAR T cells and a dominant role for SPP1+ macrophages. SPP1 blockade with an anti-SPP1 antibody abrogates the suppressive TME effects and substantially prolongs survival in IFN signaling-deficient and glioma syngeneic mouse models resistant to CAR T cell therapy. These findings illuminate the role of SPP1+ macrophages in fueling a suppressive TME and driving solid tumor resistance to CAR cell therapies. Targeting SPP1 may serve as a universal strategy to reprogram immune dynamics in solid tumors mitigating resistance to CAR T cell therapies.

cancer biology↗

bioRxiv2025

EcDNA-borne PVT1 fusion stabilizes oncogenic mRNAs

Extrachromosomal DNA (ecDNA) amplifications are prevalent drivers of human cancers. We show that ecDNAs exhibit elevated structural variants leading to gene fusions that produce oncogene fusion transcripts. The long noncoding RNA (lncRNA) gene PVT1 is the most recurrent structural variant across cancer genomes, with PVT1-MYC fusions arising most frequently on ecDNA. PVT1 exon 1 is the predominant 5 partner fused to MYC or other oncogenes on the 3 end. Mechanistic studies demonstrate that PVT1 exon 1 confers enhanced RNA stability for fusion transcripts, which requires PVT1 exon 1 interaction with SRSF1 protein. Genetic rescue of MYC-addicted cancer models and isoform-specific single-cell RNA sequencing of tumors reveal that PVT1-MYC better supports MYC dependency and better activates MYC target genes in vivo. Thus, the mutagenic landscape of ecDNA contributes to genome instability and generates chimeric fusions of lncRNA and mRNA genes, selecting PVT1 5 region as a stabilizer of oncogene mRNAs.

cancer biology↗

bioRxiv2025

Machine Learning-Based Identification of Survival-Associated CpG Biomarkers in Pancreatic Ductal Adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) is an exceptionally aggressive cancer with a 5-year survival rate of less than 10%, driven by late-stage diagnosis, limited treatment options, and a lack of reliable biomarkers for early detection and prognosis. In this study, we integrated DNA methylation data from TCGA and ICGC cohorts, categorizing samples based on survival time, and identified 684 differentially methylated CpG sites, along with 224 CpG biomarkers significantly associated with patient survival through statistical and machine learning-based analyses. We developed a random forest model to predict patient survival, achieving 85.2% accuracy for short-survival patients and 70.0% for long-survival patients in the validation set. External dataset validation further confirmed the models robustness and accuracy. De novo motif analysis of genomic regions surrounding the 224 CpG biomarkers identified TWIST1 and FOXA2 as key transcriptional regulators enriched in survival-associated CpG sites, linking their activity to patient survival outcomes. Collectively, our findings highlight valuable epigenetic biomarkers and provide a predictive model to assess PDAC risk levels post-surgery, offering the potential for improved patient stratification and personalized therapeutic strategies.

bioinformatics↗

bioRxiv2025

The targeting of non-fibrillar polyQ via distinct VCP-proteasome coupling

The aggregation of proteins containing expanded poly-glutamine (polyQ) repeat sequences is a cytopathological hallmark of several dominantly inherited neurodegenerative diseases (ND), including Huntingtons disease (HD). Previously, we observed that long polyQ repeats form a fibrillar core, surrounded by amorphous and soluble intermediates, which compared to the fibrils, are more readily taken up by autophagosomes 1. In this study, we investigated how the alternative major degradation pathway in cultured cells, ubiquitin proteasome system (UPS), interacts with the different pools of polyQ. We observed that the AAA+ ATPase, valosin-containing protein VCP/p97, in collaboration with proteasomes, plays a crucial role in degrading non-fibrillar polyQ. As both VCP and proteasomes were recruited to the polyQ intermediates peripheral to the fibrils, we imaged these regions by in situ cryo-ET for subtomogram averaging. VCP predominantly adopts an ATP-bound state, often in an active processing conformation with resolved NPLOC4-like cofactor density. The region was also enriched with the 26S proteasome (26S), 20S proteasome core (20S), and 19S regulatory particles (19S). Distance analysis of the macromolecules revealed a striking proximity between VCP and the 20S in situ. This is likely mediated by VCPs C-terminal hydrophobic-tyrosine-X (HbYX) motif, which binds the 20S via hydrophobic interactions, as confirmed by cryo-EM single-particle analysis (SPA) and in vitro assays. Our study highlights a distinct VCP-20S coupling mechanism, where VCP functionally overlaps with the 19S complex in substrate unfolding, facilitating the degradation of polyQ intermediates by the 20S catalytic core.

biochemistry↗

bioRxiv2025

Epithelia mediate inflammation with myeloid cells in Crohn's disease patients under treatment

Many Crohn's disease patients fail to respond to biologic therapies targeting canonical immune pathways, and the mechanisms underlying treatment non-response remain poorly understood. Integrating single-cell and spatial transcriptomics, we generated a comprehensive mucosal atlas of 380,000 cells spanning the terminal ileum and ascending colon of healthy donors and Crohn's disease patients receiving biologics. We revealed site-specific programs centered on TNF-expressing macrophages embedded within epithelial-stromal networks: follicle-associated enterocytes dictated immune activation in the ileum, while FAP-expressing stromal cells served this role in the colon. Co-expression network analysis further identified lineage-specific programs associating non-response, including a novel epithelial marker BPIFB1 independent of known genetic risk loci. Co-expression marker Z-scores significantly differed between responders and non-responders in published datasets. Together, these findings define a non-responder-specific epithelial-stromal-immune ecosystem that sustains chronic inflammation, providing a framework for stratifying treatment resistance and informing therapeutic strategies in Crohn's disease and other barrier organ disorders.

immunology↗

bioRxiv2025

Protease mimicry: dissecting the ester bond crosslinking mechanics in bacterial adhesin proteins

The ester bond crosslink discovered within bacterial adhesin proteins offers a captivating insight into the convergent evolution of enzyme-like machinery. Crystal structures reveal a putative catalytic triad comprising an acid-base-nucleophile combination and an oxyanion-like site that suggest a serine protease-like mechanism drives the crosslinking process. We now provide confirmation of the mechanism, revealing functional catalytic dyads or triads, and the recapitulation of protease machinery from a Pseudomonas bacterium and a human cytomegalovirus related only by convergent evolution. Molecular dynamics simulations show how a conservative threonine-to-serine mutation of the nucleophile induces hydrolysis and eliminates the ester bond crosslink. Collectively, our structural, functional, and computational efforts detail the molecular intricacies of intramolecular ester bond formation and underscore the convergent evolutionary adaptations of bacteria in exploiting enzyme-like machinery to protect essential adhesin proteins from the mechanical, biological, and chemical hostilities of the bacterias replicative niche.

biochemistry↗

bioRxiv2025

Genome-wide association studies reveal novel loci associated with carcass and body measures in goats (Capra hircus)

Elucidating the genetic architecture of local goat populations is crucial for improving breeding strategies and conservation efforts. In southwestern China, there are numerous local goat resources, featuring rich phenotypic and genetic variations. Nevertheless, in-depth research on their production performance is scarce. Therefore, in this study, whole-genome 7x resequencing was performed on 776 individuals of six goat breeds (Dazu Black Goat, Yudong Black Goat, Banjiao Goat, Hechuan White Goat, Chuandong White Goat, and Youzhou Black Goat) in Chongqing to deeply investigate their population structure, genetic relationships, and heritability, and to identify significant genes related to growth traits and carcass traits. The mapping of significant genes for growth and carcass traits identified novel genetic loci, including a significant association at position 63,248,396 within ASIP on chromosome 13, which was linked to both traits, indicating a potential pleiotropic effect. Additional candidate genes for growth traits included CXCL14, PTGFR, and DPYD (body weight); CCSER1, HMCN1, and MYOM1 (body length); MALRD1 and ASIP (withers height); and MEIS2 and NLRC5 (chest circumference). For carcass traits, key candidate genes included ASIP, ATP5G1, COX3 and BCAR3. Functional enrichment analysis highlighted the calcium signaling pathway, glycan biosynthesis, and cytokine receptor interactions as key biological pathways influencing these traits. These findings provide novel insights into the genetic mechanisms underlying economically important traits in Chongqing local goats. The identification of ASIP as a pleiotropic gene, along with other newly discovered loci, offers valuable targets for genetic improvement and selective breeding programs, enhancing the productivity and sustainability of local goat populations.

genomics↗

bioRxiv2025

Soluble Immune Factor Profiles in Blood and CSF Associated with LRRK2 Mutations and Parkinson's Disease

Background and ObjectivesMutations in the Leucine-rich repeat kinase 2 (LRRK2) gene are one of the most common genetic causes of Parkinsons disease (PD) and are linked to immune dysregulation in both the central nervous system and periphery. However, peripheral and central profiles of soluble immune factors associated with LRRK2 mutations and PD have not been comprehensively characterized. Using serum and CSF samples from the LRRK2 Cohort Consortium (LCC), this study aimed to probe a broad range of soluble immune biomarkers associated with LRRK2 mutations and PD. MethodsWe investigated the levels of soluble immune regulators in the serum (n=651) and cerebrospinal fluid (CSF, n=129) of LRRK2 mutation carriers and non-carriers, both with and without PD. A total of 65 cytokines, chemokines, growth factors, and soluble receptors were assessed by Luminex immunoassay. A multivariable robust linear model was used to determine levels associated with LRRK2 mutations and PD status, adjusting for age, sex, and sample cohort. Correlations were assessed using the Spearman correlation coefficient. LRRK2 G2019S knock-in mice were used to validate the associations identified in the LCC. ResultsIn this extensive discovery cohort, we identified several elevated serum immune regulatory factors associated with LRRK2 mutations. In particular, serum stromal cell-derived factor-1 alpha (SDF-1 alpha) levels, as supported by findings in LRRK2 G2019S knock-in mice, and tumor necrosis factor receptor II (TNF-RII) were significantly increased after multiple comparison adjustment. In contrast, LRRK2 mutations were associated with reduced soluble immune markers, including BAFF, CD40-Ligand, I-TAC, MIP-3 alpha, NGF beta, and IL-27 in CSF. Those with clinically diagnosed PD, with or without LRRK2 mutations, did not show strong signals in serum but reduced inflammatory analytes in CSF, including MIF, MMP-1, CD30, Tweak, and SDF-1 alpha. In addition, we found that the serum levels of these soluble immune factors display varied correlations with their corresponding CSF levels. DiscussionThis study highlights distinct immune profiles associated with LRRK2 mutations and PD in the periphery and CNS. Serum levels of SDF-1alpha and TNF-RII were elevated in LRRK2 mutation carriers, while CSF immune markers were reduced. In PD, irrespective of LRRK2 status, reduced CSF inflammatory analytes and weak serum signals were observed. These results provide insight into immune dysregulation linked to LRRK2 mutations. If replicable in independent datasets, they offer potential avenues for biomarker and therapeutic exploration.

neuroscience↗

bioRxiv2025

Metabolic reinvigoration of NK cells by IL-21 enhances immunotherapy against MHC-I deficient solid tumors

Natural killer (NK) cells, a type of potent cytotoxic lymphocytes, are particularly promising for the treatment of cancers that lose or downregulate major histocompatibility complex class I (MHC-I) expression to evade T cell-mediated immunotherapy. However, the hostile and immune suppressive tumor microenvironment (TME) greatly hinders the function of tumor-infiltrating NK cells limiting the therapeutic efficacy against solid tumors. Here, we show that a fusion protein of interleukin-21 (IL-21-Fc), as a direct in vivo intervention, can safely and effectively reprogram NK cell metabolism and enhance their effector function in the TME. Our research demonstrates that combining IL-21-Fc with IL-15 superagonist (IL-15SA) or NK cell transfer leads to the eradication of MHC-I-deficient tumors and confers durable protection in syngeneic and xenograft tumor models. Mechanistically, we uncover that IL-21-Fc enhances NK cell effector function by upregulating glycolysis in a lactate dehydrogenase A (LDHA)-dependent manner. These findings not only underscore the considerable potential of IL-21-Fc as an in vivo therapeutic intervention to bolster NK cell-based immunotherapy, but also unveil an innovative strategy of metabolic reprogramming for NK cell rejuvenation within tumors. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=183 SRC="FIGDIR/small/643961v2_ufig1.gif" ALT="Figure 1"> View larger version (57K): org.highwire.dtl.DTLVardef@daf24forg.highwire.dtl.DTLVardef@5a5029org.highwire.dtl.DTLVardef@144c978org.highwire.dtl.DTLVardef@106ed1c_HPS_FORMAT_FIGEXP M_FIG C_FIG HIGHLIGHTSO_LINK cells display functional exhaustion in MHC-I deficient solid tumors C_LIO_LIIL-21-Fc as an in vivo-applicable and safe immunotherapy reinvigorates intratumoral NK cells for enhanced effector function C_LIO_LIIL-21-Fc enhances NK cell function by elevating glycolysis in a LDHA-dependent manner C_LIO_LICombining IL-21-Fc with low-dose IL-15SA or NK cell transfer eradicates syngeneic and xenografted solid tumors C_LI

cancer biology↗

bioRxiv2025

Pangenome analyses of tea plant reveal structural variations driven gene expression alterations and agronomic trait diversification

Tea plants, one of the worlds most economically significant beverage crops, exhibit extensive genetic diversity and a rich array of secondary metabolites. While structural variations (SVs) are key drivers of phenotypic innovation, their regulatory roles in transcriptional networks and agronomic trait diversification remain underexplored in this perennial crop. We constructed a pangenome from 21 representative tea accessions and their wild relatives. Comparative analysis revealed that wild relatives harbor a greater abundance of gibberellin-related genes, whereas cultivated accessions exhibit an expansion of defense-related genes. We identified 522,428 non-redundant SVs, primarily insertions/deletions (73.56%), which were enriched in promoter regions. These SVs influenced the expression of genes governing flavor compounds, including those involved in flavonoid, amino acid, and terpenoid biosynthesis. Population SV analysis of 275 tea accessions uncovered three haplotypes in the ANS3 gene promoter region, with Hap1, containing a 192 bp insertion, predominantly found in wild relatives but largely lost in modern cultivars. This insertion enhanced CtANS3 expression, increasing anthocyanin accumulation. Additionally, a 159 bp insertion in the CtLRR1 promoter reduced resistance to Colletotrichum gloeosporioides in wild relatives. Our findings underscore SVs as pivotal regulators of genomic diversity, flavor differentiation, and adaptive evolution in tea plant domestication.

genomics↗

bioRxiv2025

LILRA5 functions to induce ROS production on innate immune cells

Activating immune receptors provide mechanisms for phagocytes to elicit important effector functions that promote the killing of microbes. Leukocyte immunoglobulin-like receptor A5 (LILRA5) an orphan immune receptor expressed by human phagocytes and co-localising with FcR{gamma}, remains poorly characterised. To address this, we developed a highly-specific anti-LILRA5 monoclonal antibody that has agonistic properties. Using a specific anti-LILRA5 antibody, we show LILRA5 expression on naive monocytes and neutrophils, and that ligation of LILRA5 stimulates ROS production. While increased LILRA5 transcript copy numbers have been associated with sepsis, we also observed increased levels in patients with systemic infection but without sepsis complications. Ex vivo bacterial infection of whole blood did not alter surface LILRA5 expression, but LPS stimulation changed expression levels. This indicates that surface LILRA5 expression is dynamic and likely regulated posttranscriptionally, changing responses to different stimuli or over time. Soluble (s)LILRA5 was enhanced in sera from sepsis patients and in supernatants of monocytes that were LPS-stimulated, indicative that shedding of LILRA5 from cell surfaces or that expression of sLILRA5 isoforms provides a mechanism to regulate surface LILRA5 expression levels. Finally, we show that altered surface LILRA5 expression influences LILRA5-induced ROS production capacity. We propose that LILRA5 is a dynamically regulated activating receptor expressed on phagocytes that can stimulate ROS production.

immunology↗

bioRxiv2025

Human growth plates house resting zone sub-populations with features of quiescent stem cells

Incomplete mapping of gene expression within human (epiphyseal) growth plates contributes to the challenges of diagnosing and treating patients with skeletal growth disorders. To address this issue, we applied spatially resolved transcriptomics to rare growth plate biopsies obtained from healthy adolescents. In addition to identifying novel markers of each zone of the human growth plate, spatial profiling revealed that the expression of genes associated with poorly understood growth disorders, including NKX3-2, SGMS2 and WNK4, is restricted to specific human growth plate zones. By elaborating on the low transcriptional activity of resting zone chondrocytes, we found that a subset of these cells exists in a functionally quiescent state in vivo, as determined by their predominantly nuclear mRNA, abundant heterochromatin, and ability to exit the G0 phase under specific conditions - features shared with skeletal stem cells in mouse growth plates. Additionally, we identified distinct and overlapping sub-populations of human resting zone chondrocytes; an exploration of their hierarchy determined that CHRDL2 and/or SFRP5-positive sub-populations are among the least quiescent resting zone cells. In summary, we generated the most comprehensive gene expression characterization of the human growth plate, which revealed novel zone-specific markers, new primary growth disorders, candidate pharmacological targets, and led us to uncover sub-populations of resting zone chondrocytes with features of quiescent stem cells. These results contribute to a better understanding of the cellular and molecular mechanisms governing human height and can facilitate improved diagnosis and treatment strategies of patients with skeletal growth disorders.

molecular biology↗

bioRxiv2025

Long-term neuron tracking reveals balance of stability and plasticity in functional properties

Neural stability is essential for executing learned motor behaviors while plasticity provides the flexibility needed to adapt to new tasks and environments. Although low-dimensional neural population dynamics exhibit long-term stability, the extent to which individual neurons retain their functional properties over time and balance the need for both stability and plasticity remains an open question. Tracking individual neurons across multiple recording sessions is crucial to addressing this question, yet conventional methods face challenges such as electrode drift, waveform variability, and large inter-electrode distances that limit the number of channels a neuron is observed on. Here, we introduce a waveform-based neuron tracking method optimized for standard microelectrode arrays, enabling the identification of the same neurons across sessions without relying on spatial overlap, a strategy commonly leveraged with high-density electrode arrays. We apply this method to assess the longitudinal stability of multiple neural properties, including firing rates, inter-spike intervals, tuning properties, and spike-field interactions. Our findings reveal that while spike waveform properties remain stable, certain functional properties such as ISI and tuning can exhibit gradual shifts, suggesting a balance between neural stability and plasticity. Understanding the persistence of individual neural signals provides insight into learning and adaptation while advancing the study of neural stability and plasticity over extended timescales. Beyond basic neuroscience, this framework has potential to enhance the long-term reliability of brain-machine interfaces and closed-loop deep brain stimulation systems that rely on chronic neural sensing.

neuroscience↗

bioRxiv2025

FOSL2 Directly Regulates FSHR and CYP11A1 Transcription: An Essential Transcription Factor for Gonadotropin-Dependent Folliculogenesis

The meticulous orchestration of gonadotropin-dependent folliculogenesis constitutes the cornerstone of female reproductive cyclicity and fertility, with FSH/FSHR signaling recognized as the master regulator. Achieving the necessary amplification of this signaling is essential for successful GTH-dependent folliculogenesis, yet the mechanisms remain inadequately defined. Our study utilizes single-cell and spatial transcriptomics to identify FOSL2 as an FSH-inducible transcription factor, exhibiting precise spatiotemporal co-expression with FSHR. FOSL2 knockdown in vitro resulted in notable reductions in granulosa cell proliferation, induced apoptosis, and disrupted gonadotropin-dependent folliculogenesis. In vivo studies using conditional FOSL2 deletion in mouse granulosa cells corroborated these results, demonstrating a complete halt in GTH-dependent folliculogenesis and resultant infertility. Mechanistic exploration unveiled that FSH/FSHR initiates FOSL2 expression via the cAMP/PKA/CREB cascade, while FOSL2 in turn enhances FSHR transcription through direct promoter binding, thereby establishing a self-amplifying loop. This loop represents a molecular switch, modeled to the all-or-nothing dynamics of GTH-dependent folliculogenesis. The evolutionary conservation of this mechanism was confirmed through cross-species analyses in sheep, where FOSL2 deficiency similarly attenuated FSH/FSHR signaling and inhibited follicular growth. Our findings advance the understanding of folliculogenesis by revealing a novel FOSL2-centered amplification loop for FSH/FSHR signaling, highlighting the indispensable role of FOSL2 in reproductive biology.

cell biology↗

bioRxiv2025

Climate and soil nutrients drive global variations in community-level root nutrient acquisition strategies

The root economics space (RES) provides a framework for understanding species-level belowground strategies, but niche differentiation and environmental filtering may cause community-level root trait coordination to diverge from species-level patterns. Here, we compiled fine-root trait data measured directly from bulk soil samples across 302 plant communities worldwide to examine community-level root trait coordination and its climatic and edaphic drivers. Analyses based on a subset of communities with complete RES traits revealed two major dimensions of variation that were partly consistent with, but not identical to, the classical species-level RES framework. A collaboration-related axis, mainly defined by root diameter and specific root length, was associated with soil pH, with near-neutral soils linked to trait combinations consistent with more "do-it-yourself" nutrient acquisition and acidic soils associated with patterns suggesting greater reliance on mycorrhizal "outsourcing" pathways. A second fast-slow axis, characterized by root tissue density, root nitrogen concentration and root diameter, was associated with precipitation and temperature gradients, with drier environments linked to more conservative trait syndromes and humid, cooler environments associated with more acquisitive strategies. Root nutrient traits also showed ecosystem-specific patterns: in forests, root nitrogen tended to decrease whereas root phosphorus increased along soil nutrient gradients, while in grasslands, root nitrogen increased with soil total nitrogen. Overall, community-level fine-root traits retained key structural elements of the RES framework while exhibiting context-dependent deviations from species-level expectations. These findings highlight how environmental gradients shape belowground trait organization across communities and improve our understanding of plant nutrient-acquisition strategies at large spatial scales.

ecology↗

bioRxiv2025

RNA-triggered fluorescence controlled by RNA switches for real-time RNA expression tracking in living plants

Real-time visualization of RNA dynamics across spatial scales in living plants is desirable yet remains challenging, hindered by the absence of imaging tools that simultaneously offer high sensitivity and deployability in whole living plants. Here, we engineered a modular, RNA-triggered fluorescence (RTF) reporter system de novo for spatiotemporal imaging of RNA from cellular to whole-plant scales in vivo. This system integrates three functional modules: a target-specific allosteric RNA switch, a degradable adapter for background suppression, and a fluorescent reporter. All components are stably expressed from a single vector and assemble in vivo, enabling uniform deployment throughout entire plants. The modified RTF (RTFst) achieves single-molecule sensitivity (signal-to-noise ratio >60) for dynamic tracking of developmentally regulated, tissue-specific, circadian, and stress-responsive mRNAs. Crucially, it enables the first direct, real-time observation of graft-transmissible mRNA trafficking across tissue scales and cross-kingdom transfer of the aphid-secreted long non-coding RNA Ya1 to plant cells. RTF establishes a versatile platform for studying gene regulation, signaling, and transcript mobility in plants, with broad applicability in synthetic biology and crop improvement.

molecular biology↗