Stress-associated proteins(SAPs)are A20/AN1 zinc-finger proteins that participate in plant growth and development,and in responses to diverse stresses.Although SAP genes have been studied in many plants,their function...Stress-associated proteins(SAPs)are A20/AN1 zinc-finger proteins that participate in plant growth and development,and in responses to diverse stresses.Although SAP genes have been studied in many plants,their functions in cassava remain largely unexplored,particularly those involved in pathogen resistance.In this study,16 MeSAPs with conserved zinc-binding motifs were identified in cassava.The phylogenetic analysis of MeSAP proteins and their orthologs from Arabidopsis and rice indicated that they can be classified into five groups.Analyses of gene structure,conserved motifs,and chromosomal distribution indicated relatively high conservation within the MeSAP gene family.Numerous elements related to stress and plant hormones were identified through prediction of the cis-acting elements in the MeSAP gene promoters.Moreover,transcriptome sequencing and quantitative real-time PCR demonstrated that MeSAP10 was significantly upregulated under XpmCHN11 infection.Functional characterization demonstrated that silencing MeSAP10 increased cassava susceptibility to XpmCHN11,accompanied by downregulation of pathogenesis-related genes MePR1 and MeCAT2.In contrast,MeSAP10 overexpression conferred enhanced disease resistance with simultaneous upregulation of the defense-related genes,MePR1 and MeCAT2.These findings provide new insights into the SAP gene family in cassava,and identify MeSAP10 as a valuable target for breeding disease-resistant varieties.展开更多
Functionally graded material(FGM)plates are widely used in various engineering structures owing to their tailor-made mechanical properties,whereas cracked homogeneous plates constitute a canonical setting in fracture ...Functionally graded material(FGM)plates are widely used in various engineering structures owing to their tailor-made mechanical properties,whereas cracked homogeneous plates constitute a canonical setting in fracture mechanics analysis.These two classes of problems respectively embody material non-uniformity and geometric discontinuity,thereby imposing more stringent requirements on numerical methods in terms of high-order field continuity and accurate defect representation.Based on the classical Kirchhoff-Love plate theory,a numerical manifold method(MLS-NMM)incorporating moving least squares(MLS)interpolation is developed for bending analysis of FGM plates and fracture simulation of homogeneous plates with defects.The method constructs an H2-regular approximation with high-order continuous weighting functions and,combined with the separation of mathematical and physical covers,establishes a unified framework that accurately handles material gradients and cracks without mesh reconstruction.For the crack tip,a singular physical cover incorporating the Williams asymptotic field is introduced to achieve local enrichment,enabling the natural capture of displacement discontinuity and stress singularity.Stress intensity factors are extracted using the interaction integral method,and the dimensionless J-integral shows a maximum relative error below 1.2%compared with the reference solution.Numerical results indicate that MLS-NMM exhibits excellent convergence performance:using 676 mathematical nodes,the nondimensional central deflection of both FGM and homogeneous plates agrees with reference solutions with a maximum relative error below 0.81%,and no shear locking occurs.A systematic analysis reveals that for a simply supported on all four edges(SSSS)FGM square plate with a/h=10,the nondimensional central deflection increases by 212%as the gradient index nrises from 0 to 5.For a homogeneous plate containing a central crack with c/a=0.6,the nondimensional central deflection increases by approximately 46%compared with the intact plate.Under weak boundary constraints(e.g.,SFSF),the deformation is markedly amplified,with the deflection reaching more than three times that under strong constraints(SCSC).The proposed method provides an efficient,reconstruction-free numerical tool for high-accuracy bending and fracture analyses of FGM and cracked thin-plate structures.展开更多
The accurate mechanical analysis of thick-walled pressure vessel structures composed of advanced materials,such as hyperelastic and functionally graded materials(FGMs),is critical for ensuring their safety and optimiz...The accurate mechanical analysis of thick-walled pressure vessel structures composed of advanced materials,such as hyperelastic and functionally graded materials(FGMs),is critical for ensuring their safety and optimizing their design.However,conventional numerical methods can face challenges with the non-linearities inherent in hyperelasticity and the complex spatial variations in FGMs.This paper presents a novel hybrid numerical approach combining Physics-Informed Neural Networks(PINNs)with Finite Element Method(FEM)derived data for the robust analysis of thick-walled,axisymmetric,heterogeneous,hyperelastic pressure vessels with elliptical geometries.A PINN framework incorporating neo-Hookean constitutive relations is developed in MATLAB.To enhance training efficiency and accuracy,the PINN’s loss function is augmented with displacement data obtained from high-fidelity FEM simulations performed in ANSYS.The methodology is rigorously validated by comparing PINN-predicted displacement and von Mises stress fields against ANSYS benchmarks for various scenarios of FGMconfigurations(with material properties varying according to a power law)subjected to internal and external pressurization.The results demonstrate excellent agreement between the proposed hybrid PINN-FEMapproach and conventional FEMsolutions across all test cases,accurately capturing complex deformation patterns and stress concentrations.This study highlights the potential of data-augmented PINNs as an effective and accurate computational tool for tackling complex solid mechanics problems involving non-linearmaterials and significant heterogeneity,offering a promising avenue for future research in engineering design and analysis.展开更多
Functional canonical correlation analysis is a key method in multivariate statistics for identifying optimal linear correlations between two functional datasets.However,some functions within these datasets may exhibit...Functional canonical correlation analysis is a key method in multivariate statistics for identifying optimal linear correlations between two functional datasets.However,some functions within these datasets may exhibit anomalies such as sudden changes or fluctuations that deviate from the overall trend,resulting to inaccurate results.To address this,we propose an improved method:Sparse functional canonical correlation analysis based on the L2,1-norm.This approach reduces outliers by optimizing the selection of orthogonal basis functions,thereby enhancing the accuracy and reliability of the analysis.Numerical experiments show that the L2,1-norm-based method significantly outperforms traditional methods.展开更多
The biosynthesis of anthocyanin in plants is regulated by temperature,light,jasmonic acid(JA),among others.JASMONATE ZIM-DOMAIN(JAZ)proteins are critical repressors of the jasmonic acid(JA)pathway,the role of JAZ prot...The biosynthesis of anthocyanin in plants is regulated by temperature,light,jasmonic acid(JA),among others.JASMONATE ZIM-DOMAIN(JAZ)proteins are critical repressors of the jasmonic acid(JA)pathway,the role of JAZ proteins on anthocyanin biosynthesis under high-temperature or dark conditions remains unexplored.Here,we identified 16 SmJAZ genes in eggplant and characterized their evolutionary relationships,gene structures,and hightemperature(HT)and darkness stress-responsive expression patterns.Both the HT and darkness treatments significantly inhibit anthocyanin biosynthesis in eggplant peel.Correlation analysis revealed that the SmJAZ9 expression strongly correlated with anthocyanin biosynthesis-related genes under HT and darkness conditions.Transient expression assay in eggplant peels demonstrated that nuclear-localized SmJAZ9 is a positive regulator,enhancing anthocyanin biosynthesis via interaction with the transcription factor SmMYB113,thereby promoting SmCHS and SmDFR transcription.Additionally,SmJAZ9 interacted with SmMYC2 but not SmCOI1,suggesting a JA signaling-independent regulatory mechanism under HT and darkness conditions.This study revealed a novel JAZ-mediated regulatory module integrating JA signaling,environmental stress responses,and anthocyanin biosynthesis,providing potential targets for improving eggplant fruit quality.展开更多
Recent industrial activities have increased cadmium(Cd)contamination in soils,negatively affecting crop growth and agricultural development.Chrysanthemum indicum represents a significant wild species within the Chrysa...Recent industrial activities have increased cadmium(Cd)contamination in soils,negatively affecting crop growth and agricultural development.Chrysanthemum indicum represents a significant wild species within the Chrysanthemum genus.Its distinctive resistance and adaptability serve as valuable references for the enhancement of ornamental chrysanthemum breeding programs.However,the role of bZIP family of Cd stress in C.indicum remains unclear.This study conducted a genome-wide identification and expression analysis of bZIP genes in C.indicum,identifying 65 CibZIP genes distributed across nine chromosomes.Phylogenetic analysis grouped them into 12 subgroups,supported by conserved motifs,gene,and protein structure analyses.Tandem and segmental duplications were found to be key drivers of CibZIP gene family expansion,with Ka/Ks analysis indicating purifying selection of duplicated genes.Promoter analysis revealed cis-acting elements involved in plant development and stress response.Transcriptomic data showed that CibZIP genes are highly expressed in different tissues and play significant roles in Cd stress tolerance.RT-qPCR analysis further confirmed that specific CibZIP genes,especially CibZIP29,are upregulated in response to Cd stress.Overexpression of CibZIP29 in transgenic Arabidopsis enhanced Cd tolerance,providing new insights into the molecular mechanisms underlying Cd stress response in C.indicum.These findings contribute to understanding the role of CibZIP genes in Cd tolerance and will support future research on Cd stress mechanisms in Chrysanthemum.展开更多
The width of rice leaves determines the size of the photosynthetic area.Optimizing rice leaf width can improve the photosynthetic rate,thereby increasing rice yield.In this study,a genome-wide association study(GWAS)w...The width of rice leaves determines the size of the photosynthetic area.Optimizing rice leaf width can improve the photosynthetic rate,thereby increasing rice yield.In this study,a genome-wide association study(GWAS)was conducted by 225 rice germplasm resources to explore the genetic basis of rice flag leaf width(FLW).We identified nine QTLs associated with FLW(qFLWs),with phenotypic contribution rates ranging from 3.17%to 14.37%.Near-isogenic lines(NILs)were developed for fine-mapping of qFLW11,and the function of FLW11 was further verified.We narrowed down q FLW11 to an 87-kb interval,which contains five genes.展开更多
The Shaanxi-Gansu-Ningxia(SGN)border region,as a typical transitional zone between the East Asian monsoon and the westerlies,features a fragile ecological environment.In this study,the spatiotemporal evolution and mul...The Shaanxi-Gansu-Ningxia(SGN)border region,as a typical transitional zone between the East Asian monsoon and the westerlies,features a fragile ecological environment.In this study,the spatiotemporal evolution and multiscale driving mechanisms of surface winds in this ecologically fragile transition zone were investigated by integrating trend analysis,empirical orthogonal function(EOF)decomposition,and geographic detector method.The results indicated that from 1980 to 2022,the annual mean surface wind speeds in the SGN border region significantly increased,with a linear growth rate of 0.003 m/(s•a).However,the anomaly series revealed a clear interdecadal transition:surface wind speed anomalies were predominantly negative from 1980 to 1999 and shifted to persistently positive and increasing anomalies after 2000.Consistent strengthening was observed in summer,autumn,and winter,with the most pronounced increase occurring in autumn.The spatial distribution generally followed a pattern of higher values in the northwest and lower values in the southeast.Spring presented the strongest surface wind speeds and the most extensive areas with high values.EOF analysis revealed two dominant spatial modes:the first mode(variance contribution>73.40%)reflected regionally consistent changes,and its temporal coefficients increased continuously,corresponding to the overall strengthening trend of surface wind speed;and the second mode exhibited an east‑west dipole oscillation pattern,dominated by interannual fluctuations.The geographic detector results revealed that fractional vegetation cover(FVC),temperature,and topographic elevation were key factors influencing the spatial differentiation of surface wind speeds,with all the factors exhibiting enhanced interactive effects—especially the synergistic effect between vegetation cover and temperature.Background circulation analysis indicated that enhanced westerlies and decreased geopotential height in the mid‑to upper‑troposphere provided favourable dynamic conditions for increased surface wind speeds.This study advances the understanding of surface wind speed changes in climate transition zones,providing a scientific basis for regional wind energy planning,ecological protection,and wind erosion control.展开更多
The modeling and dynamical analysis of discrete chaotic systems is a vital research field,and various chaotic maps have been developed using mathematical and control-theoretic approaches.However,physical circuit desig...The modeling and dynamical analysis of discrete chaotic systems is a vital research field,and various chaotic maps have been developed using mathematical and control-theoretic approaches.However,physical circuit design of mathematically defined discrete chaotic systems and the computation of their energy functions remain challenging and open problems.In this study,a two-dimensional(2D)chaotic map is constructed using an open-loop modulation coupling method,and its dynamical characteristics are analyzed using bifurcation diagrams.Lyapunov exponents(LEs)and spectral entropy(SE)complexity are also inspected under different parameter configurations.Furthermore,the proposed chaotic map is expressed using two distinct physical memristive circuits:one is composed of a magnetic flux-controlled memristor,a nonlinear resistor,and a capacitor;the other utilizes a charge-controlled memristor,a nonlinear resistor,and an inductor.Moreover,two energy functions are derived from the two memristor-coupled circuits for the proposed chaotic map.The results demonstrate that the mathematical model of the discrete chaotic system can be effectively expressed through these two nonlinear circuits.Our study offers a theoretical foundation and viable methodology for the physical circuit representation of discrete chaotic systems and determination of their energy functions.展开更多
AIM:To summarize publication trends in the field of strabismus over the past 30y and predict future research hotspots.METHODS:A total of 2915 English-language articles and reviews on strabismus,published between 1993 ...AIM:To summarize publication trends in the field of strabismus over the past 30y and predict future research hotspots.METHODS:A total of 2915 English-language articles and reviews on strabismus,published between 1993 and 2022,were retrieved from the Web of Science Core Collection.Bibliometric analyses were performed using VOSviewer and CiteSpace software to explore publication trends,as well as the contributions and collaborative networks of countriesegions,authors,institutions,and journals.RESULTS:The annual number of publications on strabismus showed a consistent upward trend.The United States(USA)maintained a leading position in this research field while Republic of Korea and China emerged as rapidly advancing contributors over the last decade.The University of California,Los Angeles ranked as the most productive institution,and Jonathan M.Holmes from USA was the most productive author.Journal of AAPOS was the leading journal with the most strabismus publications,whereas the two most highly cited articles were both published in Ophthalmology.Co-occurrence analysis identified pivotal keywords and burst terms,including intermittent exotropia(IXT),acute acquired comitant esotropia(AACE),functional magnetic resonance imaging(fMRI),and surgical treatment,which were confirmed as predominant and frontier topics.CONCLUSION:This study provides a comprehensive bibliometric analysis of strabismus research,revealing the evolution of research hotspots over the past 30y and outlining several cutting-edge directions for future investigation.展开更多
In 2019,China had over 13.14 million dementia cases,with incidence rates of(56.47–207.08)/100,000[1].Early cognitive impairment—a key dementia symptom—reduces quality of life,increases care dependence,and lowers su...In 2019,China had over 13.14 million dementia cases,with incidence rates of(56.47–207.08)/100,000[1].Early cognitive impairment—a key dementia symptom—reduces quality of life,increases care dependence,and lowers survival in older adults[2].A decline in physical function can also be observed in older adults with increasing age.Grip strength has been shown to be a marker of overall physiological function in older adults.展开更多
Studying the nutritional components and accumulation patterns in colored wheat grains is essential for improving wheat nutritional quality and advancing the development of functional foods.Through a comprehensive high...Studying the nutritional components and accumulation patterns in colored wheat grains is essential for improving wheat nutritional quality and advancing the development of functional foods.Through a comprehensive high-throughput metabolomics and ionomics analysis of grains from 16 colored wheat varieties at various growth stages,501 essential nutrients were identified.The findings revealed that colored wheat exhibited higher levels of anthocyanins,vitamins,iron,and zinc compared to white wheat.Anthocyanin levels increased in colored wheat varieties post-21 d after flowering,while other nutrients decreased as the grains matured.Interestingly,green wheat kernels were found to be more nutrient-rich than mature kernels,containing beneficial compounds such as polyphenols,flavonoids,amino acids,and vitamins,which make them ideal for functional food development.Transcriptome analysis identified key synthetic genes and transcription factors responsible for anthocyanidin accumulation in colored wheat.This study offers valuable insights for utilizing colored wheat varieties to improve crop nutrition and innovate in the field of functional foods.展开更多
Triboelectric nanogenerators(TENGs)offer a selfsustaining power solution for marine regions abundant in resources but constrained by energy availability.Since their pioneering use in wave energy harvesting in 2014,nea...Triboelectric nanogenerators(TENGs)offer a selfsustaining power solution for marine regions abundant in resources but constrained by energy availability.Since their pioneering use in wave energy harvesting in 2014,nearly a decade of advancements has yielded nearly thousands of research articles in this domain.Researchers have developed various TENG device structures with diverse functionalities to facilitate their commercial deployment.Nonetheless,there is a gap in comprehensive summaries and performance evaluations of TENG structural designs.This paper delineates six innovative structural designs,focusing on enhancing internal device output and adapting to external environments:high space utilization,hybrid generator,mechanical gain,broadband response,multi-directional operation,and hybrid energy-harvesting systems.We summarize the prevailing trends in device structure design identified by the research community.Furthermore,we conduct a meticulous comparison of the electrical performance of these devices under motorized,simulated wave,and real marine conditions,while also assessing their sustainability in terms of device durability and mechanical robustness.In conclusion,the paper outlines future research avenues and discusses the obstacles encountered in the TENG field.This review aims to offer valuable perspectives for ongoing research and to advance the progress and application of TENG technology.展开更多
The MeFER4 gene in cassava(Manihot esculenta Crantz)encodes a ferritin-like protein involved in stress responses,particularly under drought and oxidative stress.This study explores the role of MeFER4 in regulating oxi...The MeFER4 gene in cassava(Manihot esculenta Crantz)encodes a ferritin-like protein involved in stress responses,particularly under drought and oxidative stress.This study explores the role of MeFER4 in regulating oxidative stress in transgenic Arabidopsis.Overexpression of MeFER4 enhanced sensitivity to various stresses,including drought,oxidative,salt,and osmotic stress,with increased levels of reactive oxygen species(ROS)and altered expression of ROSrelated genes in Arabidopsis.Furthermore,interactions between MeFER4 and antioxidant enzymes(APX1 and APX3),suggest its role in managing ROS homeostasis.These findings highlight MeFER4 as a key regulator of oxidative stress responses,offering the potential for improving stress tolerance in crops.展开更多
BACKGROUND Psychological comorbidities,such as anxiety and depression,in patients with chronic ankle instability(CAI)may impede ankle function improvement,although the precise nature of this association warrants furth...BACKGROUND Psychological comorbidities,such as anxiety and depression,in patients with chronic ankle instability(CAI)may impede ankle function improvement,although the precise nature of this association warrants further investigation.AIM To analyze the correlation of anxiety and depression with ankle function in patients with CAI and discussing the risk factors.METHODS This study included 116 patients with CAI,who were admitted to our hospital from July 2022 to July 2024.Anxiety and depression states of patients were assessed with the self-rating anxiety scale(SAS)and self-rating depression scale(SDS),respectively,and their ankle joint function was assessed with the anklehindfoot function score of the American Orthopedic Foot and Ankle Society.Further,the ankle function of patients with CAI with different anxiety and depression states was discussed.Furthermore,the Pearson correlation coefficient was used to analyze the correlation of anxiety and depression with ankle joint function in such patients.Univariate and multivariate analyses were conducted to investigate the factors affecting ankle joint function in patients with CAI.RESULTS Among the 116 patients with CAI,97,13,5,and 1 cases demonstrated none,mild,moderate,and severe anxiety,whereas 95,15,6,and 0 cases showed none,mild,moderate,and severe depression,respectively.The average ankle joint function score was 74.82±6.93 points.The ankle joint function in patients with CAI presented a significant downward tendency as the degree of anxiety and depression increased.Correlation analysis revealed that both the SAS and SDS scores of patients with CAI were significantly negatively correlated with the ankle joint function score.Univariate and multivariate analyses indicated that the risk factors affecting patients’ankle joint function included early functional rehabilitation,visual analog scale,and SDS.CONCLUSION A substantial number of patients with CAI suffer from anxiety and depression,and these negative emotions,to a certain extent,harm the smooth rehabilitation of ankle joint function.展开更多
In this study,an improved integrated radial basis function with nonuniform shape parameter is introduced.The proposed shape parameter varies in each support domain and is defined byθ=1/dmax,where dmaxis the max...In this study,an improved integrated radial basis function with nonuniform shape parameter is introduced.The proposed shape parameter varies in each support domain and is defined byθ=1/dmax,where dmaxis the maximum distance of any pair of nodes in the support domain.The proposed method is verified and shows good performance.The results are stable and accurate with any number of nodes and an arbitrary nodal distribution.Notably,the support domain should be large enough to obtain accurate results.This method is then applied for transient analysis of curved shell structures made from functionally graded materials with complex geometries.Through several numerical examples,the accuracy of the proposed approach is demonstrated and discussed.Additionally,the influence of various factors on the dynamic behavior of the structures,including the power-law index,different materials,loading conditions,and geometrical parameters of the structures,was investigated.展开更多
Thermal energy systems(TES)are an essential part of industries that have evolved over time through the engagement of managers and researchers.The development of digital twin(DT)technology has enabled accurate predicti...Thermal energy systems(TES)are an essential part of industries that have evolved over time through the engagement of managers and researchers.The development of digital twin(DT)technology has enabled accurate prediction of their performance.The inherent limitations of complex thermal systems,such as noisy input data and occasional lack of measurement data or boundary conditions,have recently created opportunities to apply physics-based problem-solving alongside DT technology.This paper aims to systematically review the novel physics-informed neural network-digital twin(PINN-DT)methodology as a potential solution to these challenges,and to present a taxonomy for problem-solving.The outcome of this study provides valuable guidance in selecting PINN-DT technology in thermal energy system(TES)modeling.A review of the proposed loss functions demonstrates that their design is critical for achieving precise outcomes in this technology,effectively serving as the foundational core of PINN-DT.As a result,it is recommended that the construction of the loss function be fundamentally guided by two principal considerations:forecasting accuracy and compliance with physical principles,which serve as foundational pillars in the surrogate model design framework.A significant gap exists in applying this technology to industries that use discrete sampling for quality control.Implementing the PINN-DT framework could address this issue by determining optimal sampling intervals,thereby offering vital decision-making support.Moreover,the absence of exergy analysis in formulating the physical loss component of the loss function represents a significant research gap.Future studies should therefore incorporate the exergy concept into the design of the loss function.展开更多
BACKGROUND Postoperative gastrointestinal recovery is a critical factor influencing patient rehabilitation.AIM To investigate the effects of conventional care compared with the failure mode and effects analysis(FMEA)p...BACKGROUND Postoperative gastrointestinal recovery is a critical factor influencing patient rehabilitation.AIM To investigate the effects of conventional care compared with the failure mode and effects analysis(FMEA)protocol on postoperative recovery in patients undergoing surgery.METHODS A retrospective cohort study analyzed 225 patients with colorectal cancer(conventional care group:n=122;FMEA group:n=103)treated between June 2021 and June 2024.Outcomes included gastrointestinal recovery(time to flatus/bowel movement and diet tolerance),functional capacity(6-minute walk distance test and sit-to-stand test),complications,quality of life(General Comfort Questionnaire,Barthel index,and European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30),and satisfaction.RESULTS The FMEA group demonstrated significantly accelerated recovery:Shorter hospital stays(4.49±0.38 days vs 4.66±0.42 days,P=0.002),earlier flatus(18.58±1.86 hours vs 19.09±1.93 hours,P=0.045),and improved 6-minute walk distance at 8 weeks(526.16±88.71 m vs 495.29±94.82 m,P=0.013).Complication rates decreased(nausea/vomiting:12.62%vs 22.95%,P=0.046;bowel obstruction:2.91%vs 10.66%,P=0.024).Quality of life metrics significantly favored FMEA:Total comfort score(91.66±4.71 vs 89.27±4.87,P<0.001),Barthel index(67.93±3.19 vs 66.71±3.35,P=0.006),and higher“very satisfied”rates(61.17%vs 47.54%,P=0.041).CONCLUSION FMEA-based nursing significantly enhances postoperative functional recovery,reduces complications,and improves quality of life in patients undergoing extended colectomy.展开更多
A Monte Carlo experiment was done to create a statistically significant test table for selecting EOF modes whose signals are above the noise level. Numerical analysis showed that it is feasible to choose a shorter dat...A Monte Carlo experiment was done to create a statistically significant test table for selecting EOF modes whose signals are above the noise level. Numerical analysis showed that it is feasible to choose a shorter data set between temporal and spatial dimensions for conducting an EOF analysis, and thus simplify calculation of the covariance matrix and solution of its eigenvalues and eigenvectors. The experiment showed that the dominant EOF modes remained the same. This approach is more computationally efficient, reducing both computing time and computer memory requirement, while still retaining the dominant signal.展开更多
Drought stress significantly threatens tea production and quality worldwide.To elucidate the genetic basis of drought tolerance in tea plant,we evaluated 11 physiological traits across 115 diverse tea accessions under...Drought stress significantly threatens tea production and quality worldwide.To elucidate the genetic basis of drought tolerance in tea plant,we evaluated 11 physiological traits across 115 diverse tea accessions under drought conditions.A comprehensive drought resistance index(D-value)was constructed through principal component analysis and fuzzy membership function.Genome-wide association studies identified 67 significant SNPs and pinpointed four candidate genes associated with drought-responsive traits.Integrated transcriptome and qRT-PCR analyses revealed that three genes,including CsAGD6,were significantly upregulated under drought stress.Functional assays confirmed that CsAGD6,encoding a nucleus-localized ARF-GAP protein,positively regulates drought tolerance by modulating photosynthetic efficiency and membrane stability.Haplotype analysis identified favorable alleles Hap-P1 and Hap-C1 in the promoter and coding regions of CsAGD6,respectively.Moreover,an SNP-kompetitive allele-specific PCR marker targeting chr10:206216541(C/T)was developed and validated in 104accessions,demonstrating high efficacy for early selection of drought-tolerant genotypes.This study provides novel insights into the molecular mechanisms of drought tolerance in tea plant and offers valuable genetic resources and tools for markerassisted breeding.展开更多
基金support of the National Natural Science Foundation of China(3226150099,32260468)the Key Research and Experimental Development Program of Hainan province(ZDYF2023XDNY179-7)+1 种基金China Agriculture Research System(CARS-11-HNCYH)the International Science and Technology Cooperation Program of Hainan Province(GHYF2022005).
摘要Stress-associated proteins(SAPs)are A20/AN1 zinc-finger proteins that participate in plant growth and development,and in responses to diverse stresses.Although SAP genes have been studied in many plants,their functions in cassava remain largely unexplored,particularly those involved in pathogen resistance.In this study,16 MeSAPs with conserved zinc-binding motifs were identified in cassava.The phylogenetic analysis of MeSAP proteins and their orthologs from Arabidopsis and rice indicated that they can be classified into five groups.Analyses of gene structure,conserved motifs,and chromosomal distribution indicated relatively high conservation within the MeSAP gene family.Numerous elements related to stress and plant hormones were identified through prediction of the cis-acting elements in the MeSAP gene promoters.Moreover,transcriptome sequencing and quantitative real-time PCR demonstrated that MeSAP10 was significantly upregulated under XpmCHN11 infection.Functional characterization demonstrated that silencing MeSAP10 increased cassava susceptibility to XpmCHN11,accompanied by downregulation of pathogenesis-related genes MePR1 and MeCAT2.In contrast,MeSAP10 overexpression conferred enhanced disease resistance with simultaneous upregulation of the defense-related genes,MePR1 and MeCAT2.These findings provide new insights into the SAP gene family in cassava,and identify MeSAP10 as a valuable target for breeding disease-resistant varieties.
基金supported by Beijing Natural Science Foundation(L233025)。
摘要Functionally graded material(FGM)plates are widely used in various engineering structures owing to their tailor-made mechanical properties,whereas cracked homogeneous plates constitute a canonical setting in fracture mechanics analysis.These two classes of problems respectively embody material non-uniformity and geometric discontinuity,thereby imposing more stringent requirements on numerical methods in terms of high-order field continuity and accurate defect representation.Based on the classical Kirchhoff-Love plate theory,a numerical manifold method(MLS-NMM)incorporating moving least squares(MLS)interpolation is developed for bending analysis of FGM plates and fracture simulation of homogeneous plates with defects.The method constructs an H2-regular approximation with high-order continuous weighting functions and,combined with the separation of mathematical and physical covers,establishes a unified framework that accurately handles material gradients and cracks without mesh reconstruction.For the crack tip,a singular physical cover incorporating the Williams asymptotic field is introduced to achieve local enrichment,enabling the natural capture of displacement discontinuity and stress singularity.Stress intensity factors are extracted using the interaction integral method,and the dimensionless J-integral shows a maximum relative error below 1.2%compared with the reference solution.Numerical results indicate that MLS-NMM exhibits excellent convergence performance:using 676 mathematical nodes,the nondimensional central deflection of both FGM and homogeneous plates agrees with reference solutions with a maximum relative error below 0.81%,and no shear locking occurs.A systematic analysis reveals that for a simply supported on all four edges(SSSS)FGM square plate with a/h=10,the nondimensional central deflection increases by 212%as the gradient index nrises from 0 to 5.For a homogeneous plate containing a central crack with c/a=0.6,the nondimensional central deflection increases by approximately 46%compared with the intact plate.Under weak boundary constraints(e.g.,SFSF),the deformation is markedly amplified,with the deflection reaching more than three times that under strong constraints(SCSC).The proposed method provides an efficient,reconstruction-free numerical tool for high-accuracy bending and fracture analyses of FGM and cracked thin-plate structures.
摘要The accurate mechanical analysis of thick-walled pressure vessel structures composed of advanced materials,such as hyperelastic and functionally graded materials(FGMs),is critical for ensuring their safety and optimizing their design.However,conventional numerical methods can face challenges with the non-linearities inherent in hyperelasticity and the complex spatial variations in FGMs.This paper presents a novel hybrid numerical approach combining Physics-Informed Neural Networks(PINNs)with Finite Element Method(FEM)derived data for the robust analysis of thick-walled,axisymmetric,heterogeneous,hyperelastic pressure vessels with elliptical geometries.A PINN framework incorporating neo-Hookean constitutive relations is developed in MATLAB.To enhance training efficiency and accuracy,the PINN’s loss function is augmented with displacement data obtained from high-fidelity FEM simulations performed in ANSYS.The methodology is rigorously validated by comparing PINN-predicted displacement and von Mises stress fields against ANSYS benchmarks for various scenarios of FGMconfigurations(with material properties varying according to a power law)subjected to internal and external pressurization.The results demonstrate excellent agreement between the proposed hybrid PINN-FEMapproach and conventional FEMsolutions across all test cases,accurately capturing complex deformation patterns and stress concentrations.This study highlights the potential of data-augmented PINNs as an effective and accurate computational tool for tackling complex solid mechanics problems involving non-linearmaterials and significant heterogeneity,offering a promising avenue for future research in engineering design and analysis.
基金The National Natural Science Foundation of China “Optimization models and algorithms for interpretable learning machines on complex data”(12461058)Xinjiang Key Laboratory of Applied Mathematics (XJDX1401)。
摘要Functional canonical correlation analysis is a key method in multivariate statistics for identifying optimal linear correlations between two functional datasets.However,some functions within these datasets may exhibit anomalies such as sudden changes or fluctuations that deviate from the overall trend,resulting to inaccurate results.To address this,we propose an improved method:Sparse functional canonical correlation analysis based on the L2,1-norm.This approach reduces outliers by optimizing the selection of orthogonal basis functions,thereby enhancing the accuracy and reliability of the analysis.Numerical experiments show that the L2,1-norm-based method significantly outperforms traditional methods.
基金supported by the National Key Research and Development Program(2023YFD2300702)the National Natural Sciences Foundations of China(Grant No.32172556)+3 种基金the Shandong Provincial Key Research and Development Program(2021LZGC018)the Special Fund of Vegetable Industrial Techonolgy System of Shandong Province(SDAIT-05-11)the Tai'an Agricultural Breeding Program(2023NYLZ02)the Grand Science and Technology Special Project of Zhejiang Province(2021C02065).
摘要The biosynthesis of anthocyanin in plants is regulated by temperature,light,jasmonic acid(JA),among others.JASMONATE ZIM-DOMAIN(JAZ)proteins are critical repressors of the jasmonic acid(JA)pathway,the role of JAZ proteins on anthocyanin biosynthesis under high-temperature or dark conditions remains unexplored.Here,we identified 16 SmJAZ genes in eggplant and characterized their evolutionary relationships,gene structures,and hightemperature(HT)and darkness stress-responsive expression patterns.Both the HT and darkness treatments significantly inhibit anthocyanin biosynthesis in eggplant peel.Correlation analysis revealed that the SmJAZ9 expression strongly correlated with anthocyanin biosynthesis-related genes under HT and darkness conditions.Transient expression assay in eggplant peels demonstrated that nuclear-localized SmJAZ9 is a positive regulator,enhancing anthocyanin biosynthesis via interaction with the transcription factor SmMYB113,thereby promoting SmCHS and SmDFR transcription.Additionally,SmJAZ9 interacted with SmMYC2 but not SmCOI1,suggesting a JA signaling-independent regulatory mechanism under HT and darkness conditions.This study revealed a novel JAZ-mediated regulatory module integrating JA signaling,environmental stress responses,and anthocyanin biosynthesis,providing potential targets for improving eggplant fruit quality.
基金funded by the Science and Technology Development Fund Program of Nanjing Medical University(NMUB20230301).
摘要Recent industrial activities have increased cadmium(Cd)contamination in soils,negatively affecting crop growth and agricultural development.Chrysanthemum indicum represents a significant wild species within the Chrysanthemum genus.Its distinctive resistance and adaptability serve as valuable references for the enhancement of ornamental chrysanthemum breeding programs.However,the role of bZIP family of Cd stress in C.indicum remains unclear.This study conducted a genome-wide identification and expression analysis of bZIP genes in C.indicum,identifying 65 CibZIP genes distributed across nine chromosomes.Phylogenetic analysis grouped them into 12 subgroups,supported by conserved motifs,gene,and protein structure analyses.Tandem and segmental duplications were found to be key drivers of CibZIP gene family expansion,with Ka/Ks analysis indicating purifying selection of duplicated genes.Promoter analysis revealed cis-acting elements involved in plant development and stress response.Transcriptomic data showed that CibZIP genes are highly expressed in different tissues and play significant roles in Cd stress tolerance.RT-qPCR analysis further confirmed that specific CibZIP genes,especially CibZIP29,are upregulated in response to Cd stress.Overexpression of CibZIP29 in transgenic Arabidopsis enhanced Cd tolerance,providing new insights into the molecular mechanisms underlying Cd stress response in C.indicum.These findings contribute to understanding the role of CibZIP genes in Cd tolerance and will support future research on Cd stress mechanisms in Chrysanthemum.
基金supported by the Zhejiang Provincial Natural Science Foundation,China(Grant No.LD24C130001)the National Natural Science Foundation of China(Grant Nos.W2412006 and 32372125)+3 种基金the Hainan Provincial Natural Science Foundation,China(Grant Nos.GHYF2025029 and YBXM2422)the Innovation Platform for Academicians of Hainan Province,China(Grant No.YSPTZX202502)the National Modern Agricultural Industry Technology System Project,China(Grant No.CARS-01-18)the Special Support Program of Chinese Academy of Agricultural Sciences(Grant Nos.NKYCLJ-C-2021-015 and CAAS-ZDRW202401)。
摘要The width of rice leaves determines the size of the photosynthetic area.Optimizing rice leaf width can improve the photosynthetic rate,thereby increasing rice yield.In this study,a genome-wide association study(GWAS)was conducted by 225 rice germplasm resources to explore the genetic basis of rice flag leaf width(FLW).We identified nine QTLs associated with FLW(qFLWs),with phenotypic contribution rates ranging from 3.17%to 14.37%.Near-isogenic lines(NILs)were developed for fine-mapping of qFLW11,and the function of FLW11 was further verified.We narrowed down q FLW11 to an 87-kb interval,which contains five genes.
基金funded by Key Research and Development Plan of Ningxia Hui Autonomous Region (2023BEG02054)
摘要The Shaanxi-Gansu-Ningxia(SGN)border region,as a typical transitional zone between the East Asian monsoon and the westerlies,features a fragile ecological environment.In this study,the spatiotemporal evolution and multiscale driving mechanisms of surface winds in this ecologically fragile transition zone were investigated by integrating trend analysis,empirical orthogonal function(EOF)decomposition,and geographic detector method.The results indicated that from 1980 to 2022,the annual mean surface wind speeds in the SGN border region significantly increased,with a linear growth rate of 0.003 m/(s•a).However,the anomaly series revealed a clear interdecadal transition:surface wind speed anomalies were predominantly negative from 1980 to 1999 and shifted to persistently positive and increasing anomalies after 2000.Consistent strengthening was observed in summer,autumn,and winter,with the most pronounced increase occurring in autumn.The spatial distribution generally followed a pattern of higher values in the northwest and lower values in the southeast.Spring presented the strongest surface wind speeds and the most extensive areas with high values.EOF analysis revealed two dominant spatial modes:the first mode(variance contribution>73.40%)reflected regionally consistent changes,and its temporal coefficients increased continuously,corresponding to the overall strengthening trend of surface wind speed;and the second mode exhibited an east‑west dipole oscillation pattern,dominated by interannual fluctuations.The geographic detector results revealed that fractional vegetation cover(FVC),temperature,and topographic elevation were key factors influencing the spatial differentiation of surface wind speeds,with all the factors exhibiting enhanced interactive effects—especially the synergistic effect between vegetation cover and temperature.Background circulation analysis indicated that enhanced westerlies and decreased geopotential height in the mid‑to upper‑troposphere provided favourable dynamic conditions for increased surface wind speeds.This study advances the understanding of surface wind speed changes in climate transition zones,providing a scientific basis for regional wind energy planning,ecological protection,and wind erosion control.
基金supported by the National Natural Science Foundation of China(No.62301416).
摘要The modeling and dynamical analysis of discrete chaotic systems is a vital research field,and various chaotic maps have been developed using mathematical and control-theoretic approaches.However,physical circuit design of mathematically defined discrete chaotic systems and the computation of their energy functions remain challenging and open problems.In this study,a two-dimensional(2D)chaotic map is constructed using an open-loop modulation coupling method,and its dynamical characteristics are analyzed using bifurcation diagrams.Lyapunov exponents(LEs)and spectral entropy(SE)complexity are also inspected under different parameter configurations.Furthermore,the proposed chaotic map is expressed using two distinct physical memristive circuits:one is composed of a magnetic flux-controlled memristor,a nonlinear resistor,and a capacitor;the other utilizes a charge-controlled memristor,a nonlinear resistor,and an inductor.Moreover,two energy functions are derived from the two memristor-coupled circuits for the proposed chaotic map.The results demonstrate that the mathematical model of the discrete chaotic system can be effectively expressed through these two nonlinear circuits.Our study offers a theoretical foundation and viable methodology for the physical circuit representation of discrete chaotic systems and determination of their energy functions.
基金Supported by National Natural Science Foundation of China(No.82020108006,No.81730025).
摘要AIM:To summarize publication trends in the field of strabismus over the past 30y and predict future research hotspots.METHODS:A total of 2915 English-language articles and reviews on strabismus,published between 1993 and 2022,were retrieved from the Web of Science Core Collection.Bibliometric analyses were performed using VOSviewer and CiteSpace software to explore publication trends,as well as the contributions and collaborative networks of countriesegions,authors,institutions,and journals.RESULTS:The annual number of publications on strabismus showed a consistent upward trend.The United States(USA)maintained a leading position in this research field while Republic of Korea and China emerged as rapidly advancing contributors over the last decade.The University of California,Los Angeles ranked as the most productive institution,and Jonathan M.Holmes from USA was the most productive author.Journal of AAPOS was the leading journal with the most strabismus publications,whereas the two most highly cited articles were both published in Ophthalmology.Co-occurrence analysis identified pivotal keywords and burst terms,including intermittent exotropia(IXT),acute acquired comitant esotropia(AACE),functional magnetic resonance imaging(fMRI),and surgical treatment,which were confirmed as predominant and frontier topics.CONCLUSION:This study provides a comprehensive bibliometric analysis of strabismus research,revealing the evolution of research hotspots over the past 30y and outlining several cutting-edge directions for future investigation.
基金supported by the Shanghai New Three-year Action Plan for Public Health(Grant No.GWV-10.1-XK16)the US National Institute on Aging(RO1-AGO34479).
摘要In 2019,China had over 13.14 million dementia cases,with incidence rates of(56.47–207.08)/100,000[1].Early cognitive impairment—a key dementia symptom—reduces quality of life,increases care dependence,and lowers survival in older adults[2].A decline in physical function can also be observed in older adults with increasing age.Grip strength has been shown to be a marker of overall physiological function in older adults.
基金supported by the STI 2030-Major Project(2023ZD04069)the International Science and Technology Cooperation Project of Hubei Province(Grant No.2023EHA060)+1 种基金the First-Class Discipline Construction Funds of College of Plant Science and Technology,Huazhong Agricultural University(Grant No.2023ZKPY005)the National Key Laboratory of Crop Genetic Improvement Self-Research Program(Grant No.ZW22B0206).
摘要Studying the nutritional components and accumulation patterns in colored wheat grains is essential for improving wheat nutritional quality and advancing the development of functional foods.Through a comprehensive high-throughput metabolomics and ionomics analysis of grains from 16 colored wheat varieties at various growth stages,501 essential nutrients were identified.The findings revealed that colored wheat exhibited higher levels of anthocyanins,vitamins,iron,and zinc compared to white wheat.Anthocyanin levels increased in colored wheat varieties post-21 d after flowering,while other nutrients decreased as the grains matured.Interestingly,green wheat kernels were found to be more nutrient-rich than mature kernels,containing beneficial compounds such as polyphenols,flavonoids,amino acids,and vitamins,which make them ideal for functional food development.Transcriptome analysis identified key synthetic genes and transcription factors responsible for anthocyanidin accumulation in colored wheat.This study offers valuable insights for utilizing colored wheat varieties to improve crop nutrition and innovate in the field of functional foods.
基金supported by the National Key R&D Project from Ministry of Science and Technology,China(2021YFA1201603)National Natural Science Foundation of China(52073032 and 52192611)the Fundamental Research Funds for the Central Universities.
摘要Triboelectric nanogenerators(TENGs)offer a selfsustaining power solution for marine regions abundant in resources but constrained by energy availability.Since their pioneering use in wave energy harvesting in 2014,nearly a decade of advancements has yielded nearly thousands of research articles in this domain.Researchers have developed various TENG device structures with diverse functionalities to facilitate their commercial deployment.Nonetheless,there is a gap in comprehensive summaries and performance evaluations of TENG structural designs.This paper delineates six innovative structural designs,focusing on enhancing internal device output and adapting to external environments:high space utilization,hybrid generator,mechanical gain,broadband response,multi-directional operation,and hybrid energy-harvesting systems.We summarize the prevailing trends in device structure design identified by the research community.Furthermore,we conduct a meticulous comparison of the electrical performance of these devices under motorized,simulated wave,and real marine conditions,while also assessing their sustainability in terms of device durability and mechanical robustness.In conclusion,the paper outlines future research avenues and discusses the obstacles encountered in the TENG field.This review aims to offer valuable perspectives for ongoing research and to advance the progress and application of TENG technology.
基金supported by the Hainan Provincial Natural Science Foundation of China(324MS122)the National Natural Science Foundation of China(32360458)+1 种基金the startup funds for the Hainan University E-class Talents(XJ2300007513)the China Agriculture Research System(CARS-11-HNCYH),both of which made this research possible.
摘要The MeFER4 gene in cassava(Manihot esculenta Crantz)encodes a ferritin-like protein involved in stress responses,particularly under drought and oxidative stress.This study explores the role of MeFER4 in regulating oxidative stress in transgenic Arabidopsis.Overexpression of MeFER4 enhanced sensitivity to various stresses,including drought,oxidative,salt,and osmotic stress,with increased levels of reactive oxygen species(ROS)and altered expression of ROSrelated genes in Arabidopsis.Furthermore,interactions between MeFER4 and antioxidant enzymes(APX1 and APX3),suggest its role in managing ROS homeostasis.These findings highlight MeFER4 as a key regulator of oxidative stress responses,offering the potential for improving stress tolerance in crops.
摘要BACKGROUND Psychological comorbidities,such as anxiety and depression,in patients with chronic ankle instability(CAI)may impede ankle function improvement,although the precise nature of this association warrants further investigation.AIM To analyze the correlation of anxiety and depression with ankle function in patients with CAI and discussing the risk factors.METHODS This study included 116 patients with CAI,who were admitted to our hospital from July 2022 to July 2024.Anxiety and depression states of patients were assessed with the self-rating anxiety scale(SAS)and self-rating depression scale(SDS),respectively,and their ankle joint function was assessed with the anklehindfoot function score of the American Orthopedic Foot and Ankle Society.Further,the ankle function of patients with CAI with different anxiety and depression states was discussed.Furthermore,the Pearson correlation coefficient was used to analyze the correlation of anxiety and depression with ankle joint function in such patients.Univariate and multivariate analyses were conducted to investigate the factors affecting ankle joint function in patients with CAI.RESULTS Among the 116 patients with CAI,97,13,5,and 1 cases demonstrated none,mild,moderate,and severe anxiety,whereas 95,15,6,and 0 cases showed none,mild,moderate,and severe depression,respectively.The average ankle joint function score was 74.82±6.93 points.The ankle joint function in patients with CAI presented a significant downward tendency as the degree of anxiety and depression increased.Correlation analysis revealed that both the SAS and SDS scores of patients with CAI were significantly negatively correlated with the ankle joint function score.Univariate and multivariate analyses indicated that the risk factors affecting patients’ankle joint function included early functional rehabilitation,visual analog scale,and SDS.CONCLUSION A substantial number of patients with CAI suffer from anxiety and depression,and these negative emotions,to a certain extent,harm the smooth rehabilitation of ankle joint function.
基金Ho Chi Minh City University of Technology (HCMUT), VNU-HCM for supporting this study
摘要In this study,an improved integrated radial basis function with nonuniform shape parameter is introduced.The proposed shape parameter varies in each support domain and is defined byθ=1/dmax,where dmaxis the maximum distance of any pair of nodes in the support domain.The proposed method is verified and shows good performance.The results are stable and accurate with any number of nodes and an arbitrary nodal distribution.Notably,the support domain should be large enough to obtain accurate results.This method is then applied for transient analysis of curved shell structures made from functionally graded materials with complex geometries.Through several numerical examples,the accuracy of the proposed approach is demonstrated and discussed.Additionally,the influence of various factors on the dynamic behavior of the structures,including the power-law index,different materials,loading conditions,and geometrical parameters of the structures,was investigated.
摘要Thermal energy systems(TES)are an essential part of industries that have evolved over time through the engagement of managers and researchers.The development of digital twin(DT)technology has enabled accurate prediction of their performance.The inherent limitations of complex thermal systems,such as noisy input data and occasional lack of measurement data or boundary conditions,have recently created opportunities to apply physics-based problem-solving alongside DT technology.This paper aims to systematically review the novel physics-informed neural network-digital twin(PINN-DT)methodology as a potential solution to these challenges,and to present a taxonomy for problem-solving.The outcome of this study provides valuable guidance in selecting PINN-DT technology in thermal energy system(TES)modeling.A review of the proposed loss functions demonstrates that their design is critical for achieving precise outcomes in this technology,effectively serving as the foundational core of PINN-DT.As a result,it is recommended that the construction of the loss function be fundamentally guided by two principal considerations:forecasting accuracy and compliance with physical principles,which serve as foundational pillars in the surrogate model design framework.A significant gap exists in applying this technology to industries that use discrete sampling for quality control.Implementing the PINN-DT framework could address this issue by determining optimal sampling intervals,thereby offering vital decision-making support.Moreover,the absence of exergy analysis in formulating the physical loss component of the loss function represents a significant research gap.Future studies should therefore incorporate the exergy concept into the design of the loss function.
摘要BACKGROUND Postoperative gastrointestinal recovery is a critical factor influencing patient rehabilitation.AIM To investigate the effects of conventional care compared with the failure mode and effects analysis(FMEA)protocol on postoperative recovery in patients undergoing surgery.METHODS A retrospective cohort study analyzed 225 patients with colorectal cancer(conventional care group:n=122;FMEA group:n=103)treated between June 2021 and June 2024.Outcomes included gastrointestinal recovery(time to flatus/bowel movement and diet tolerance),functional capacity(6-minute walk distance test and sit-to-stand test),complications,quality of life(General Comfort Questionnaire,Barthel index,and European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30),and satisfaction.RESULTS The FMEA group demonstrated significantly accelerated recovery:Shorter hospital stays(4.49±0.38 days vs 4.66±0.42 days,P=0.002),earlier flatus(18.58±1.86 hours vs 19.09±1.93 hours,P=0.045),and improved 6-minute walk distance at 8 weeks(526.16±88.71 m vs 495.29±94.82 m,P=0.013).Complication rates decreased(nausea/vomiting:12.62%vs 22.95%,P=0.046;bowel obstruction:2.91%vs 10.66%,P=0.024).Quality of life metrics significantly favored FMEA:Total comfort score(91.66±4.71 vs 89.27±4.87,P<0.001),Barthel index(67.93±3.19 vs 66.71±3.35,P=0.006),and higher“very satisfied”rates(61.17%vs 47.54%,P=0.041).CONCLUSION FMEA-based nursing significantly enhances postoperative functional recovery,reduces complications,and improves quality of life in patients undergoing extended colectomy.
摘要A Monte Carlo experiment was done to create a statistically significant test table for selecting EOF modes whose signals are above the noise level. Numerical analysis showed that it is feasible to choose a shorter data set between temporal and spatial dimensions for conducting an EOF analysis, and thus simplify calculation of the covariance matrix and solution of its eigenvalues and eigenvectors. The experiment showed that the dominant EOF modes remained the same. This approach is more computationally efficient, reducing both computing time and computer memory requirement, while still retaining the dominant signal.
基金funded by the National Natural Science Foundation of China(No.32272767)。
摘要Drought stress significantly threatens tea production and quality worldwide.To elucidate the genetic basis of drought tolerance in tea plant,we evaluated 11 physiological traits across 115 diverse tea accessions under drought conditions.A comprehensive drought resistance index(D-value)was constructed through principal component analysis and fuzzy membership function.Genome-wide association studies identified 67 significant SNPs and pinpointed four candidate genes associated with drought-responsive traits.Integrated transcriptome and qRT-PCR analyses revealed that three genes,including CsAGD6,were significantly upregulated under drought stress.Functional assays confirmed that CsAGD6,encoding a nucleus-localized ARF-GAP protein,positively regulates drought tolerance by modulating photosynthetic efficiency and membrane stability.Haplotype analysis identified favorable alleles Hap-P1 and Hap-C1 in the promoter and coding regions of CsAGD6,respectively.Moreover,an SNP-kompetitive allele-specific PCR marker targeting chr10:206216541(C/T)was developed and validated in 104accessions,demonstrating high efficacy for early selection of drought-tolerant genotypes.This study provides novel insights into the molecular mechanisms of drought tolerance in tea plant and offers valuable genetic resources and tools for markerassisted breeding.