Biology subjects

Chang, X.

Publications and source records attributed to Chang, X..

At least 19 recordsLinked to original sources

bioRxiv2026

Selective vulnerability of excitatory cortical neurons to ZMYND11 loss reveals cell-type-specific mechanisms of neurodevelopmental disorder risk

Excitation/inhibition (E:I) imbalance is a convergent mechanism in neurodevelopmental disorders (NDDs), yet whether NDD risk genes disrupt excitatory and inhibitory neurons through shared or distinct molecular programs remains poorly understood. Using human pluripotent stem cell-derived cortical projection and medial ganglionic eminence-like inhibitory neurons, we show that loss-of-function mutations in the chromatin reader ZMYND11 produce cell-type-selective vulnerability in cortical excitatory neurons. ZMYND11-deficient excitatory neurons exhibit hyperexcitability accompanied by de-repression of BMP signaling, dysregulation of glutamate receptor expression, and a shift toward non-brain splicing isoforms, whereas these molecular signatures are largely absent in ZMYND11-deficient inhibitory neurons. This cell-type selectivity is associated with differential upregulation of RBFOX family splicing regulators. Structure-function analysis reveals that MYND domain is required for normal progenitor dynamics and neuronal excitability. Together, these findings indicate that E:I imbalance in ZMYND11-associated NDD arises primarily from cell-type-selective vulnerability of excitatory cortical projection neurons and identify MYND domain as a critical determinant of neuronal function. HighlightsO_LIZMYND11-deficient excitatory neurons (ExNs) show hyperexcitability. C_LIO_LIAltered BMP signaling & glutamate receptor levels are implicated in mutant ExNs. C_LIO_LIInhibitory neurons show attenuated response to ZMYND11 loss. C_LIO_LIThe MYND domain in ZMYND11 is a critical regulator of neuronal excitability. C_LI

neuroscience↗

bioRxiv2026

Multiscale Modeling Identifies Cardiovascular Risk from Common Chemical Exposures

BackgroundThe cardiovascular system is significantly affected by exogenous factors, but understanding the risks posed by pharmaceuticals and environmental chemicals is restricted due to limited data availability. New approach methodologies (NAMs) apply in vitro, in chemico, and in silico methods to characterize hazard and risk, thus offering rapid, multiscale human biology-based strategies to overcome regulatory challenges and the potential to complement or replace animal testing for understanding chemical cardiovascular effects. MethodsIn the present study, we applied a systems-based workflow using physiologically based pharmacokinetic (PBPK) models to convert bioactive concentrations from >300 high-throughput screening (HTS) assays with cardiovascular-relevant molecular and cellular targets to human equivalent administered doses (EADs) for >800 substances with widespread human exposure potential. To derive human-relevant risk predictions, the in vitro activity-derived EADs were compared with human exposure estimates and in vivo points of departure (PODs) from toxicological animal studies. For a subset of chemicals, we applied a geospatial analysis to assess the combined risks for populations across regions of the US. ResultsThe combined HTS assay data, human exposure predictions, animal study-based PODs, geospatial exposure data, and PBPK modeling identified compounds with potential cardiovascular toxicity at relevant exposure levels. Personal care product ingredients, flame retardants, herbicides, pesticides, pharmaceuticals, and byproducts of various industrial processes were noted as agents of concern preferentially targeting endothelial cell signaling, nuclear hormone receptors, and other critical cardiovascular targets. Of the 859 chemicals assessed, in vitro CV-relevant assays were more risk protective than animal studies for 96.4% of the chemicals. A set of 17 chemicals had a log10 bioactivity exposure ratio (BER) below -2, indicating estimated human exposure more than 100-fold above the in vitro-derived bioactive dose. ConclusionsThis study establishes an integrative, multiscale framework linking molecular perturbations to population-level cardiovascular risk, enabling systematic identification of potentially cardiotoxic chemicals and the communities most vulnerable to their effects. By bridging mechanistic toxicology with pharmacokinetic modeling and epidemiologic context, this approach enhances the biological relevance and translational impact of human health risk assessment. This scalable, adaptable framework supports timely, evidence-based decision-making and aligns with the growing adoption of NAMs to advance cardiovascular research and disease prevention. Novelty and SignificanceO_ST_ABSWhat is known?C_ST_ABSHigh-throughput screening (HTS) assays can identify chemicals with activity at cardiovascular (CV) relevant molecular targets, but translating in vitro bioactivity concentrations into biologically meaningful human equivalent doses requires physiologically based pharmacokinetic (PBPK) modelling. The bioactivity exposure ratio (BER) provides a data-driven metric for comparing in vitro-derived equivalent administered doses against population exposure estimates, but its application to CV endpoints across a large and chemically diverse environmental chemical landscape has not been demonstrated. Geospatial mapping of CV chemical exposure risk has been demonstrated for a limited set of air pollutants but has not been extended to a broad environmental chemical landscape using human-relevant in vitro bioactivity data. What new information does this article contribute?Integrated in vitro to in vivo extrapolation (IVIVE) across 859 environmental chemicals demonstrates that cardiovascular-relevant in vitro endpoints are sensitive indicators of broader systemic toxicity, 96.4% of chemicals showed positive POD ratios, meaning in vitro CV assays flagged hazard at lower doses than non-specific animal toxicity studies despite the absence of endpoint matching. Seventeen chemicals including PFAS, brominated flame retardants, endocrine disruptors, and agricultural herbicides, had a BER below -2, indicating estimated human exposure more than 100-fold above the in vitro-derived cardiovascular bioactive dose, with convergent evidence from both in vitro and in vivo data supporting regulatory priority. County-level geospatial mapping reveals that cardiovascular chemical exposure risk is geographically heterogeneous across the United States, concentrated in industrially active regions already associated with elevated cardiovascular disease mortality, identifying specific populations for targeted environmental monitoring. SummaryThis study presents a scalable, systems-based IVIVE framework that integrates cardiovascular-relevant in vitro HTS bioactivity data with reverse dosimetry, population exposure predictions, and in vivo animal toxicity data to prioritize environmental chemicals for cardiovascular risk assessment. Applied to 859 chemicals spanning personal care products, flame retardants, pesticides, pharmaceuticals, and industrial compounds, the framework demonstrates that CV-relevant in vitro endpoints are sensitive indicators of systemic toxicity even in the absence of direct endpoint matching with in vivo studies. The BER emerges as a flexible and resource-adaptable prioritization metric, identifying 92 chemicals where estimated human exposure falls within the CV bioactive range, of which 17 represent the highest regulatory priority based on convergent evidence from both data streams. Geospatial mapping further reveals regional heterogeneity in cardiovascular chemical exposure risk concentrated in industrial areas of the central and southeastern United States. This work advances the application of new approach methodologies for cardiovascular chemical risk assessment at a time of accelerating regulatory transition toward human-relevant in vitro-based safety evaluation, providing a reproducible computational workflow directly applicable to chemical prioritization under evolving EPA and FDA regulatory frameworks.

pharmacology and toxicology↗

bioRxiv2026

Integrative Genomic Analyses Identify COL21A1 and ENPEP-FGF5 Regulatory Pathways for Blood Pressure Variation in East Asians

BackgroundHypertension is a highly heritable cardiovascular disorder and a major determinant of cardiometabolic disease, including diabetes. However, the regulatory genes and tissue-specific mechanisms underlying blood pressure variations remain incompletely understood. MethodsLeveraging a well-characterized prospective population-based cohort comprised of 27,308 participants from the Singapore Chinese Health Study (SCHS), we evaluated genome-wide genetic associations for five blood pressure traits: hypertension status, systolic blood pressure, diastolic blood pressure, mean arterial pressure (MAP) and pulse pressure (PP). Additionally, we conducted a transcriptome-wide association study (TWAS), integrating gene expression data from 49 tissues, followed by colocalization and fine-mapping to prioritize regulatory genes. Association of identified variants with incident diabetes was additionally evaluated in the longitudinal data. ResultsWe validated 10 blood pressure loci (P between 1.64 x 10-20 - 4.10 x 10-8) and identified an East-Asian specific splice donor variant at the COL21A1 gene associated with PP (rs149344559, P = 6.78 x 10-10). Integrative analyses prioritized FGF5 in kidney cortex and ENPEP in pituitary tissue as candidate regulatory genes. The blood pressure-lowering allele at ENPEP (T allele, rs1879056) was associated with reduced risk of incident diabetes. Mediation analysis demonstrated that approximately 21% of the genetic association with diabetes was mediated through MAP (Pindirect-effect = 2 x 10-16). ConclusionThis study refines genetic predispositions for blood pressure among East-Asians. We further delineate tissue-specific regulatory pathways underlying blood pressure variations and identify ENPEP-mediated dysfunctions linking blood pressure genetics to diabetes risk, underscoring integrated disease mechanisms.

genetics↗

bioRxiv2026

Complement 3a Receptor mediates high fat diet induced hypothalamic accumulation of lipid associated microglia to regulate neuroinflammation and obesity

Microglia, the resident macrophages of the central nervous system, are recognized for their heterogeneity and integral role in brain function and diseases. In the context of high fat diet (HFD) feeding and obesity, microglia become overactive, acquiring a prevailing lipid associated microglial phenotype (also known as LAM). Yet, how microgliosis is induced and regulated remains unclear. Here we report a key role for the Complement 3a Receptor (C3aR), on HFD-induced hypothalamic gliosis and weight gain in mice. HFD consumption leads to elevated microglial expression of C3aR, which parallels widespread accumulation of reactive microglia, selectively in the hypothalamus. Conditional microglial C3aR deletion protects mice from HFD-induced hypothalamic reactive microgliosis. C3aR deletion or pharmacological antagonism opposes HFD-induced weight gain in male but not female mice. Mechanistically, we demonstrated that C3aR is essential for lipid-induced lipid droplet formation, and acquisition of a LAM molecular signature. In summary, we uncovered a previously unknown role for C3aR in the acquisition of a LAM signature driving diet-induced gliosis, identifying this receptor as a new viable therapeutic candidate for conditions associated with hypothalamic neuroinflammation.

immunology↗

bioRxiv2026

Digital Twin Brain simulation and manipulation of a functional brain network underlying mental illness

Linking synaptic-level perturbations to distributed brain-network dynamics remains a central challenge for understanding and treating mental illness. Although recent whole-brain models can reproduce individual brain activity patterns, they largely function as descriptive simulators rather than mechanistic, intervention-capable systems. Here we present an intervention-capable digital twin of the human brain, integrating individual neuroanatomy and task-evoked dynamics within a neuronal-scale framework. Individualised digital twin brains recapitulate a participant-specific compact cortico-subcortical network phenotype that captures transdiagnostic psychopathology across population and clinical cohorts. In silico modulation of excitatory and inhibitory synaptic conductance produces bidirectional, heterogeneous network responses across individuals. Population-scale simulations stratify individuals and predict longitudinal symptom trajectories from DTB-derived response profiles. Independent pharmacological functional MRI data further validate the predicted baseline-dependent network responses in vivo. Together, these findings establish digital brain models as experimental platforms for mechanistic perturbation, behavioural prediction and stratification, providing a foundation for precision neuroscience and psychiatry.

neuroscience↗

bioRxiv2026

Streak-Aware Localization Microscopy Enables High-Throughput Brain Imaging Across Platforms

Optical, ultrasound, and optoacoustic localization microscopy based on microparticle tracking has enabled surpassing the resolution limits imposed by ultrasound diffraction and optical diffusion in tissues. However, its reliance on high-speed (kilohertz) data acquisition systems for precise emitter localization and tracking substantially increases methodological complexity and data storage demands, limiting scalability and applicability beyond specialized benchtop platforms. Here, we present streak-aware localization microscopy (SALM) that employs localization- and tracking-free deep learning model to convert motion-blurred streaks originating from low frame rate recordings of flowing emitters into super-resolved structural and functional readouts. In optical implementations, SALM exploits streaks captured by low-speed cameras to recover capillary-level cerebrovascular maps across a variety of benchtop, miniaturized, and second near-infrared preclinical imaging platforms, achieving over 30-fold reduction in the reconstruction time compared to conventional localization pipelines. We further introduce three coded excitation strategies that embed finer time-varying vectorial flow signatures into individual streaks, enabling single-frame velocimetry and video-rate hemodynamic imaging. Extending SALM to ultrasound imaging enables high-fidelity vascular imaging with centimeter-scale penetration in rhesus macaque and rat brains while reducing plane-wave compounding frame rates by up to one order of magnitude. By overcoming long-standing trade-offs between spatiotemporal resolution and hardware complexity, SALM offers a flexible and scalable framework for next-generation super-resolution microscopy.

neuroscience↗

bioRxiv2026

Event2Flow: Scalable imaging of peripheral and cerebral hemodynamics with event-based vision sensors

Accurate blood flow mapping over mesoscale fields of view is essential for understanding physiological and pathological processes, yet conventional optical methods often rely on bulky high-speed cameras that generate massive datasets with excessive computation burden. Here, we introduce Event2Flow, a compact and data-efficient framework leveraging event-based vision sensors, which asynchronously capture brightness changes with sub-millisecond latency and minimal data redundancy. Event2Flow supports multiple contrast mechanisms for flow measurement, including speckle fluctuation and particle tracking. By correlating the event count with flow velocity through simulations and experiments, we first demonstrate its application in laser speckle imaging for noninvasive mapping of mouse ear vasculature and ethanol-induced hemodynamic changes. When integrated with widefield fluorescence localization microscopy and point spread function engineering, Event2Flow further enables kilohertz-rate particle tracking for rapid 3D velocity quantification in transcranial brain imaging and snapshot flow direction estimations using event polarity. Overall, Event2Flow offers a scalable alternative to conventional high-speed imaging systems for vascular and neuroimaging applications.

neuroscience↗

bioRxiv2026

Elimination of intramuscular immunoglobulin accumulation alleviates Duchenne Muscular Dystrophy

Duchenne muscular dystrophy (DMD) is a devastating neuromuscular disorder due to loss of dystrophin, a cytoskeletal protein critical for muscle integrity and functionality. Despite recent therapeutic advances, there remains a significant unmet need for more effective and accessible therapeutics. Here, we discovered an early accumulation of immunoglobulin G (IgG) in the sarcolemma, which exacerbates tissue inflammation and disease progression. The IgG accumulation primarily resulted from ectopic localization of Fc{gamma}R1, a high-affinity IgG Fc receptor, on dystrophin-deficient myofibers. In two independent murine models, eliminating IgG accumulation via B cell depletion provided sustained benefit to alleviate DMD progression. Our findings uncover a novel disease accelerator in DMD and demonstrate the potential to target this mechanism as therapeutics for broader population of patients with DMD.

immunology↗

bioRxiv2025

Dose-dependent NFI regulation of progenitor lifespan and output underlying human neocortical malformation

Nuclear Factor I (NFI) misexpressions in humans are associated with severe brain malformations, yet the underlying mechanisms remain poorly understood. Here we show that NFIs regulate the broad lineage progression and lifespan of radial glial progenitors (RGPs), and consequently neocortical development in a dose-dependent manner. Human cerebral organoids carrying patient-mimicking NFI mutations exhibit expression level-dependent bidirectional impairments in RGP temporal development, coinciding with patient phenotypes. In mouse models, selective removal of NFIs leads to a dramatic protraction of RGP lineage progression and lifespan, excessive progeny output, and neocortical overgrowth and abnormal folding, whereas overexpression of NFIs accelerates RGP lineage progression, resulting in developmental stage-dependent precocious productions of diverse neural progenies. Moreover, NFIs exhibit a positive auto-regulation and progressive increase in expression, and regulate distinct temporal-specific targets underlying RGP lineage progression. These results suggest that NFIs act as evolutionarily conserved key global temporal regulators of RGP lineage progression and neocortical development. HIGHLIGHTSO_LINFIs affect human RGP temporal development coinciding with patient phenotypes. C_LIO_LINFI removal protracts RGP lineage progression and lifespan with excessive progeny output. C_LIO_LINFI overexpression accelerates RGP lineage progression with precocious progeny output. C_LIO_LINFIs regulate distinct temporal-specific targets underlying RGP lineage progression. C_LI

neuroscience↗

bioRxiv2025

The m6A reader protein YTHDF2 facilitates HTLV-1 infectious and mitotic propagation by stabilizing Tax RNA

N6-methyladenosine (m6A) is one of the important RNA modifications that affect RNA abundance and function and has also been implicated in viral infection. In this study, we identify a number of m6A modification sites within human T-cell leukemia virus type 1 (HTLV-1) RNAs, particularly in the RNA of the Tax oncogene. We demonstrate that YTH domain family, member 2 (YTHDF2), a key m6A reader protein that binds m6A-modified RNAs and influences RNA metabolism, is required for HTLV-1 replication in both de novo and persistently infected cells. Mechanistically, YTHDF2 interacts with and stabilizes Tax RNA in an m6A-dependent manner, thereby promoting Tax-driven HTLV-1 replication. Importantly, YTHDF2 activates oncogenic cellular pathways and promotes proliferation in HTLV-1 infected cells, aligning with the functions of Tax. Overall, our findings characterize YTHDF2 as a host factor critical to HTLV-1 RNA metabolism and viral propagation, offering novel insights into the understanding of HTLV-1 life cycle and the development of targeted interventions. Importancem6A is an RNA modification that plays crucial roles in physiological and pathological conditions; however, its roles in HTLV-1 infection are poorly understood. In this study, we identify that m6A modification is widely present in HTLV-1 RNAs including Tax. We demonstrate that YTHDF2, a prominent m6A reader protein, enhances the stability of Tax RNA, thereby promoting both de novo and persistent HTLV-1 replication. Our findings position YTHDF2 as an essential factor for HTLV-1 persistence and suggest it as a potential therapeutic target for viral clearance.

microbiology↗

bioRxiv2025

Dynamic changes in mRNA isoform usage during human retinal development

BackgroundAlternative mRNA splicing is a key mechanism for generating isoform diversity in eukaryotic cells. However, the extent of the splicing changes that occur during complex regulatory processes like neurodevelopment are still incompletely characterized. ResultsWe performed nanopore-based long-read RNA sequencing on differentiating human stem cell-derived retinal organoids to identify temporal patterns of isoform usage across developmental stages. We found that retinal organoids undergo dynamic shifts in isoform usage throughout differentiation, which were not necessarily accompanied with changes in overall gene expression, as was observed for many genes involved in the regulation of mRNA splicing itself. Further analysis of human stem cell-derived retinal ganglion cells uncovered neuron-specific splicing signatures. Additionally, allele-specific gene expression analysis revealed extensive allelic imbalance in induced pluripotent stem cell-derived organoid cultures. ConclusionsBy combining direct long-read RNA sequencing with human stem cell retinal models we were able to develop a comprehensive database of isoform-level changes in differentiating human retinal cells during development. These results uncovered dynamic shifts in transcript usage during retinal differentiation, adding to our knowledge base of post-transcriptional RNA processing in the developing central nervous system and human in vitro culture systems.

molecular biology↗

bioRxiv2025

Mechanical Disturbance of Trichomes Enhances Cd2+ Uptake via Malate-Mediated Stomatal Opening in Arabidopsis

Phytoremediation of cadmium-contaminated soils relies on efficient metal uptake and translocation in plants. We previously found that gentle mechanical stimulation of non-glandular trichomes by brushing significantly enhances shoot Cd{superscript 2} accumulation in Arabidopsis thaliana, although the underlying physiological mechanism remained unclear. Here, we demonstrate that trichome brushing specifically induces stomatal opening, elevates transpiration, and promotes Cd{superscript 2} uptake, as evidenced by measurements of stomatal aperture, stomatal conductance, transpiration rate, and Cd{superscript 2} concentration in wild-type and mutant leaves. These responses are absent in the glabrous gl1-1 mutant and are not elicited by brushing epidermal pavement cells, indicating a trichome-specific mechanosensory pathway. Mechanistically, this pathway requires MPK3/MPK6 activity and employs malic acid as a key regulator of stomatal aperture, functioning independently of canonical ABA signaling. Our findings uncover a previously unrecognized trichome-to-stomatal signaling cascade that links trichome mechanostimulation to enhanced heavy metal accumulation.

plant biology↗

bioRxiv2025

Sex-dependent cortico-amygdala circuits controlling emotion recognition

In social species, the ability to recognize others emotional states is essential for appropriate social interactions, yet it often declines with age and is impaired in various neurodevelopmental and neurodegenerative disorders. While emotion recognition has been characterized in both humans and rodents, the underlying neural circuits and how they vary by sex and age remain poorly understood. Here, we used a negative Emotional state Discrimination Task (EDT) in TRAP2 transgenic mice to map brain regions engaged during negative emotion recognition in young and aged animals. Young male and female mice successfully discriminated emotionally altered conspecifics, recruiting the basolateral amygdala (BLA) and medial orbitofrontal cortex (MO) in a sex-specific manner. Fiber photometry revealed distinct activation dynamics in these regions, and chemogenetic inhibition of bidirectional BLA-MO projections abolished emotion recognition in male but not female mice. Notably, young human participants also showed sex-specific recruitment of BLA and OFC during negative facial emotion recognition. Moreover, aging selectively impaired emotion recognition in male mice, coinciding with reduced BLA activity. Remarkably, chemogenetic activation of BLA in aged male mice rescued this deficit. Together, these findings identify a sex-dependent BLA-MO circuit as a conserved neural substrate for emotion recognition and demonstrate that age-related impairments can be reversed through targeted circuit-level intervention.

neuroscience↗

bioRxiv2025

Rapid, accurate long- and short-read mapping to large pangenome graphs with vg Giraffe

1We previously introduced Giraffe, a short-read-to-pangenome graph mapper available in the vg pangenomics toolkit. Giraffe was fast and accurate for mapping short reads to human-scale pangenomes, but struggled with long reads. Long reads present a unique challenge to pangenome mapping algorithms due to their length and error profile, which allow them to take more topologically complex paths through the pangenome graph and increase the possible search space for the algorithm. We present updates to Giraffe that allow it to quickly and accurately map long reads to pangenome graphs. For both short and long reads, Giraffe mapping to a pangenome containing data from more than 450 human haplotypes, generated by the Human Pangenome Reference Consortium, is comparable in speed to linear mappers to human reference genomes; Giraffe is also over an order of magnitude faster than GraphAligner, the current state-of-the-art long-read-to-pangenome mapper. Its alignments produce similar or improved small and structural variant calling results, compared to those from commonly used graph-based and linear mappers. We additionally demonstrate using Giraffes long read alignments in a pangenome-guided assembly workflow, which is capable of producing more contiguous local assemblies than Hifiasm in our test regions.

bioinformatics↗

bioRxiv2025

Ketone body driven lipid remodeling supports thermogenic adaptation to fasting

Metabolic adaptation to fasting may have conferred survival advantage to early humans and predicts weight gain caused by overnutrition in modern societies. Fasting suppresses brown adipose tissue (BAT) thermogenesis; however, it is unclear how BAT rewires cellular metabolism to balance between energy conservation and heat generation. Here, we report that BAT in mice under fasting and cold challenge consumed ketone bodies, specifically acetoacetate (AcAc). Ablating liver ketogenesis decreased, while enhancing hepatic AcAc output defended, body temperature in mice facing the dual challenge. Using stable isotope tracing in brown adipocytes in vitro combined with quantitative analysis of metabolic fluxes and lipidomics in BAT from genetic mouse models, we disentangled the two metabolic fates of AcAc - terminal oxidation in the mitochondria and lipid biosynthesis in the cytosol. Notably, AcAc-sourced carbon preferentially supported polyunsaturated fatty acid synthesis in BAT, linking to the positive impact of intermittent fasting on lipid profiles in both mice and humans. Therefore, ketone body utilization by thermogenic adipocytes contributes to metabolic resilience of mammals and can be targeted to optimize benefits of dietary regimens.

physiology↗

bioRxiv2025

Genome graphs reveal the importance of structural variation in Mycobacterium tuberculosis evolution and drug resistance

Structural variants (SVs) are increasingly recognized as key drivers of bacterial evolution, yet their role has not been explored thoroughly. This is due to limitations in traditional short-read sequencing and linear reference-based analyses, which can miss complex structural changes. Tuberculosis (TB), a disease caused by Mycobacterium tuberculosis (Mtb), remains a major global health concern. In this study, we harness long-read sequencing technologies and genome graph tools to construct a Mtb pangenome reference graph (PRG) from 859 high-quality, diverse, long-read assemblies. To enable accurate genotyping of SVs leveraging the PRG, we developed miniwalk, a tool that outperforms a traditional linear genome-based approach in precision for SV detection. We characterize patterns of structural variation genome-wide, revealing a virulence-associated ESX-5 deletion to be recurrent across the phylogeny, and fixed in a sub-lineage of L4. Systematic screens for additional genes that are recurrently affected by SVs implicated those related to metal homeostasis, including a copper exporter fixed in the widely distributed L1.2.1 sub-lineage. Lastly, we genotyped 41,134 isolates and found SVs putatively associated with resistance to various first and second-line drugs. These findings underscore the broader role of SVs in shaping Mtb diversity, highlighting their importance in both understanding evolution and designing strategies to combat drug-resistant TB.

genomics↗

bioRxiv2025

The Promotive Effect of Ocean Literacy on Marine Conservation Behavior: A Qualitative Study Based on Chinese University Students

IntroductionOcean literacy is crucial in shaping marine conservation behaviors among Chinese university students. This study explores the intricate relationship between ocean literacy and pro-environmental behaviors, emphasizing the roles of emotional connections, cultural significance, and educational experiences. By examining the multidimensional aspects of ocean literacy, the research seeks to identify key factors that influence conservation actions and the practical application of marine knowledge. MethodsUtilizing qualitative methodologies, this study conducted semi-structured interviews with 16 Chinese university students to delve into their perceptions and interactions with the marine environment. The interviews explored various dimensions such as oceanic knowledge, environmental beliefs, value orientations, and actions related to marine conservation. NVivo software was used for data analysis, allowing for the identification of key themes through a rigorous coding process. The studys analysis also included a moderated mediation model to examine how educational experiences influence the relationship between ocean literacy and conservation behaviors. ResultsThe findings reveal that ocean literacy among university students comprises key components such as scientific knowledge, environmental ethics, conservation action, policy understanding, and critical thinking. Significant gaps in marine knowledge were observed, alongside strong emotional and cultural connections to the ocean, which significantly mediate the relationship between ocean literacy and conservation behaviors. Educational experiences further moderated these effects, highlighting the need for enhanced marine education. ConclusionThis study underscores the necessity of integrating comprehensive educational strategies with emotional and cultural engagement to effectively promote marine conservation behaviors. The results advocate for educational reforms that incorporate practical and interactive learning approaches, aimed at deepening students understanding and involvement in marine conservation. Strengthening these educational frameworks can significantly enhance ocean literacy and foster proactive environmental stewardship among university students.

scientific communication and education↗

bioRxiv2025

Genome-wide analysis reveals the genetic basis of key agronomic traits and modern wheat breeding in Henan Province

Despite the continuous improvement of wheat cultivars in Henan Province, the largest Chinese wheat-producing area, there have been no reports of studies on their breeding advances in the past decades. This study aims to elucidate their genetic basis and breeding advances. A total of 351 landraces and 265 cultivars in Henan Province were employed in selective sweep studies and genome-wide association studies. All the wheat accessions were planted in five locations in Henan Province in 2016-2017, 2017-2018 and 2018-2019. Candidate genes were identified through differential expression, GO annotation, gene homology, and haplotype analyses. Breeding advances were summarized based on four breeding periods (1950s, 1960s-1970s, 1980s-1990s, and post-2000s) of all 265 cultivars. The results demonstrated that 263 known genes with selection signals were found to be associated with important traits. Around the detected quantitative trait loci, 51 genes had been previously reported, while 252 genes were identified as candidate genes. Of the 303 genes and loci identified, 80 genes and 50 loci contributed to the improvement of 12 traits like plant height, and 12 key candidate genes was verified by qRT-PCR, while superior haplotypes of 24 genes explained cultivar climate adaptation. The superior haplotypes of 164 genes are available for future breeding. Transmission of superior haplotypes in four varietal pedigrees revealed pyramiding of superior haplotypes in elite cultivars. The analysis of post-2000 cultivars suggests a broader range of germplasm resources should be considered in parental selection than only recent accessions. This study provides a genetic basis and guide for wheat improvement.

genetics↗