Subtilases(SBTs)play important roles in plant development and resistance to environmental stresses.However,a systematic pan-genome characterization and functional analysis of the SBT family in polyploid crops had not ...Subtilases(SBTs)play important roles in plant development and resistance to environmental stresses.However,a systematic pan-genome characterization and functional analysis of the SBT family in polyploid crops had not been performed.In this study,we performed a pan-genome analysis of 17 rapeseed genomes and identified 1844 SBT family members,which were divided into 82 orthologous gene groups(OGGs)and classified into six subfamilies.Analysis of gene duplication analysis and gene expression patterns reveled that SBT subfamily 1A contains many core OGGs.The expression levels of the subfamily 1 OGG member Bna SBT.CR04 increased under salt-stress treatment.展开更多
The fruit of Amomum villosum is highly valued for its medicinal and edible properties.However,the fruit abscission rate is exceptionally high,resulting in low unit yield.To better understand the fruit growth and devel...The fruit of Amomum villosum is highly valued for its medicinal and edible properties.However,the fruit abscission rate is exceptionally high,resulting in low unit yield.To better understand the fruit growth and development,this study investigated the characteristic changes of fruits and the expression patterns of GA-related genes in both fruits and fruit stalks.Results revealed that it takes approximately 90 days for the ovary of A.villosum to reach maturity.Fruit growth pattern exhibited a slow-fast-slow trend,with the peak of fruit weight accumulation occurring between the 14 and 25 days after artificial pollination(DAP).Before the 27 DAP,significant changes were observed in the ovary,fruit color,pericarp thickness,and fruit thorn length.Additionally,ten candidate GA-related genes,including 1 GA13ox,1 GA20ox,1 GA3ox,2 GA2oxs,4 GID1cs,and 1 DELLA,were analyzed using bioinformatics tools.The GA-related genes in fruit and fruit stalk exhibited significant correlations with fruit growth/development and fruit dropping.Overall,the fruit growth and development law,and the expression patterns of GA-related genes provided a theoretical foundation for further functional study and the screening of candidate genes for potential applications in A.villosum.展开更多
Mytilus contain abundant antimicrobial peptides(AMPs)that play a key role in the innate immunity.However,heterologous production of these AMPs remains challenging due to their short sequences,multiple disulfide bonds,...Mytilus contain abundant antimicrobial peptides(AMPs)that play a key role in the innate immunity.However,heterologous production of these AMPs remains challenging due to their short sequences,multiple disulfide bonds,and high content of cationic amino acids,which hinder functional expression in prokaryotic systems such as Escherichia coli.To establish a eukaryotic recombinant expression system for the AMPs of mussel and obtain recombinant mussel AMPs for subsequent studies,we reported the successful recombinant expression of myticofensin B1,a novel defensin-like AMP identified previously in Mytiluscoruscus,using the eukaryotic host Pichia pastoris.The codon-optimized gene encoding the mature myticofensin-B1(composed of 65 amino acid residues,including 6 conserved cysteine residues)was cloned into a pPICZαA vector and expressed in P.pastoris GS115.Structural fidelity of the recombinant peptide was confirmed by liquid chromatography-tandem mass spectrometry(LC-MS/MS),showing a molecular weight of 8849.9 Da,which was consistent with the theoretical prediction.Functional assays demonstrated a broad-spectrum antimicrobial activity of the recombinant myticofensin-B1,with stronger inhibition against Gram-negative bacteria.Scanning electron microscopy revealed different effects of the recombinant myticofensin-B1 against different bacteria.In addition,the recombinant myticofensin-B1 exhibited a very low hemolytic activity against sheep red blood cells and weak cytotoxicity against human A549 lung cancer cells.This study establishes P.pastoris as a powerful platform to produce functional mussel AMP and highlights the potential of the recombinant myticofensin-B1 as a therapeutic agent for aquaculture pathogens and infections.展开更多
While sex-biased gene expression and its evolutionary dynamics across taxa have been extensively investigated,systematic separate characterization of the evolutionary patterns in transcriptome divergence between male ...While sex-biased gene expression and its evolutionary dynamics across taxa have been extensively investigated,systematic separate characterization of the evolutionary patterns in transcriptome divergence between male and female lineages remains underexplored.Here,we analyze a comprehensive RNA-seq data set from the house mouse complex,spanning multiple organs across subspecies and species,to delineate the evolutionary trajectories of gene expression in males and females in intra-and inter-species contrasts.For both sexes,we find specific gene expression divergence patterns across the surveyed organs,with a particularly high divergence rate at early evolutionary stages of separation.Comparative analysis between sexes demonstrates male reproductive organs,particularly the testis,displaying accelerated evolutionary rates of expression divergence.Strikingly,testicular long non-coding RNA genes show the most pronounced acceleration,with differences emerging already after a few thousand years of population separation.In contrast,somatic organs and female reproductive auxiliary tissues show no major sex-specific evolutionary dynamics.Genes with sex-biased expression substantially contribute to differentially expressed genes across evolutionary transitions,though without predominant directional bias toward either sex.Notably,these differentially expressed genes display significant over-representation on autosomes.A general functional divergence process is found between male and female transcriptomes across organs mainly driven by sex-specific differentially expressed genes.Collectively,our findings establish a new evolutionary framework for sex-specific expression divergence and provide novel insights into the role of reproductive constraints in shaping transcriptome evolution in mammals.展开更多
Background Differences across breeds in adaptation to various environments and in performance on complex traits such as growth rate are very common in livestock.These differences have been attributed to various factor...Background Differences across breeds in adaptation to various environments and in performance on complex traits such as growth rate are very common in livestock.These differences have been attributed to various factors,including genetic variation,selection,and environmental influences.Gene expression regulation,serving as a critical intermediary mechanism that bridges genotypes and phenotypes,may play a pivotal role in driving these differences across breeds.Hence,we characterized the breed-shared and breed-specific pattern in genetic regulatory effects on gene expression via expression quantitative trait locus(eQTL)mapping in three pig breeds(Duroc,Landrace,and Yorkshire),aiming to gain a deeper understanding of the molecular basis underlying complex trait differences across breeds.Results We observed breed differentiation at both the single-nucleotide polymorphism(SNP)and gene expression levels.By eQTL mapping,within each tissue,an average of 71.1% of the eGenes identified in each breed were breed-shared,while the remaining 28.9% were breed-specific.We found that some regulatory effects are relevant to either the difference in average gene expression or expression variance among populations.Breed-shared eGenes were more abundant,showed larger effect sizes and lower evolutionary conservation,and vice versa.Enrichment analysis showed that the genome-wide association studies(GWAS)loci were significantly enriched in the cis-eQTLs of eGenes for an average of 12 of 19 complex traits per breed.These loci exhibited higher enrichment for breedspecific eGenes than for breed-shared eGenes.Through colocalization analyses with GWAS loci,we observed 220 colocalization events(PP.H4>0.8)with breed-specific eGenes and 758 events with breed-shared eGenes.Conclusions Our study reveals breed-shared and breed-specific effects and characteristics of genetic regulation on gene expression in three pig breeds.Both breed-shared and breed-specific eGenes contribute to the regulatory variation in complex traits,with breed-specific eGenes capturing additional regulatory signals not explained by breeshared eGenes.Together,these findings demonstrate that both shared and breed-specific regulatory variation play important roles in shaping gene expression and suggest their potential contribution to complex traits.展开更多
Sexual dimorphism in dioecious plants is common in reproductive tissues.Genes expressed in these tissues often show sex bias and differ between sexes in their protein evolutionary rates.At the same time,sex-linked gen...Sexual dimorphism in dioecious plants is common in reproductive tissues.Genes expressed in these tissues often show sex bias and differ between sexes in their protein evolutionary rates.At the same time,sex-linked genes often balance their expression levels between sexes through dosage compensation.We compared gene expression between males and females in floral and leaf tissues of eight dioecious Salicaceae species whose sex chromosomes are young to understand the level of conservation and diversity of genes with sex-biased expression.Our results revealed that sexually dimorphic gene expression showed large numbers of differences among these species,with only 6%of the genes remaining conserved,showing a consistent sex-biased direction in at least seven species.Protein evolutionary rates depended on their degree of conservation and the direction of sex bias in expression.Non-core sex-biased genes showed elevated evolutionary rates and core male-biased genes showed higher nonsynonymous and synonymous substitutions than unbiased genes.Detailed studies in three willow species revealed that the expression dosage of most sex-linked genes was partially(0.51)compensated through reducing gene expression in the homogametic sex.Our results provide novel insights into how sexually dimorphic gene expression evolves during repeated turnovers of sex chromosomes in plants and confirm that dosage compensation mechanisms evolve relatively early in the development of sex chromosomes.展开更多
Background Fat metabolism in pigs is controlled by tissue-specific molecular mechanisms that ultimately affect growth performance and meat quality.Understanding how epigenetic modifications interact with gene expressi...Background Fat metabolism in pigs is controlled by tissue-specific molecular mechanisms that ultimately affect growth performance and meat quality.Understanding how epigenetic modifications interact with gene expression across key metabolic and fat-depositing tissues is essential for identifying regulatory processes and potential biomarkers to improve pork quality traits.Therefore,this study aimed to elucidate tissue specific epigenetic regulation of fat metabolism by integrating DNA methylation and gene expression profiles from liver,backfat,and loin(longissimus dorsi)tissues at two physiologically developmental stages(10 and 26 weeks),representing the early post-weaning growth phase and near-market weight,respectively.By explicitly comparing these ages and tissues,the study was designed to capture the transition from muscle-dominated growth to increased lipid deposition and to identify tissue-and stage-specific regulatory signatures that may serve as biomarkers for pork quality.Results Genome-wide DNA methylation exhibited weak clustering by tissue,whereas gene expression showed clear tissue separation.The liver harbored fewer genes with differential methylation across stage and tissue but a greater number of genes with differential expression than backfat and loin,suggesting distinct regulatory modes.Integrative analysis of the overlap genes between methylation and expression signals highlighted epigenetically mediated regulation of extracellular matrix organization,lipid metabolism,and muscle development pathways.Furthermore,weighted gene co-expression network analysis revealed distinct tissue-specific correlations between co-methylated and co-expressed modules,with enrichment in cholesterol biosynthesis,muscle contractility,and extracellular matrix remodeling.Together,these findings suggest that methylation changes are more subtle than transcriptional shifts,yet they are aligned with key functional pathways,consistent with a role for methylation as a fine-tuning mechanism that shapes tissue-specific transcriptional networks during growth.Conclusions Across liver,backfat,and loin,DNA methylation modulates transcriptional programs in a tissue-dependent manner,prioritizing pathways central to lipid handling,extracellular matrix remodeling,and muscle function.This integrated multi-omics framework highlights candidate epigenetic markers and regulatory modules with potential utility for improving pork quality traits through selection or management strategies.展开更多
Analysing learners'facial expressions during learning and exploring their learning processes and emotional changes are of great significance for assisting teachers'teaching and promoting smart education.In com...Analysing learners'facial expressions during learning and exploring their learning processes and emotional changes are of great significance for assisting teachers'teaching and promoting smart education.In complex learning environments,static facial expression recognition fails to capture the dynamic changes of learners'expressions losing the continuous features in the learning process,and its recognition effect is easily interfered with by factors such as occlusion and lighting variations during learning.To address the above issues,a network model based on adaptive global attention and temporal difference is proposed to recognise learners'dynamic expression sequences.Firstly,we have designed an Adaptive Global Attention(AGA)block,which adaptively models inter-channel relationships to dynamically enhance key channels that are highly correlated with learners'states while suppressing redundant information,thereby improving the model's feature representation capability under noisy environments.Secondly,we have designed a Differential Temporal Transformer(DTFormer)to extract differential information between consecutive frames,increasing the model's sensitivity to learners'facial expression dynamics and improving recognition performance.The two components complement each other in terms of spatial feature enhancement and temporal dynamic modelling effectively improving the model's overall capability for representing learners'dynamic facial expressions.Experiments were conducted on public datasets DFEW,FERV39k and the learner E-learning emotional state data set DAiSEE,and comparisons were made with classical methods using objective indicators.The results demonstrate that the proposed method outperforms the comparison methods in multiple performance indicators,thereby verifying its effectiveness.展开更多
Due to the unique microstructure and diverse opsin genes of the trinocular compound eye,stomatopoda possess an extraordinary ability to perceive multiple properties of light.They not only can detect natural light(NL)a...Due to the unique microstructure and diverse opsin genes of the trinocular compound eye,stomatopoda possess an extraordinary ability to perceive multiple properties of light.They not only can detect natural light(NL)and linearly polarized light(LPL),but also are the only animals capable of recognizing circularly polarized light(CPL).Here,we integrated single-cell RNA sequencing,previously published Illumina data,and in-situ hybridization(ISH)to quantify and localize functional opsin genes in Oratosquilla oratoria,a common stomatopoda species in the China Sea.A total of high-quality 31777 cells were captured for the first time in the O.oratoria compound eye,which were classified into 25 cell subpopulations,and hypothesized that cluster 22 is a critical cell subpopulation responsible for light(whether NL,LPL,or CPL)response in O.oratoria.Furthermore,we propose that the long-wavelengthsensitive opsin gene(lws)gene family,retinol dehydrogenase(rdh),voltage-gated ion channel(vgic),arrestin(arr),and myosin(myo)collectively mediate the light response in O.oratoria.Considering that very few vision-related opsin genes show differential expression in right-handed CPL(RCPL)-vs.-dark(DL),which provides additional evidence that stomatopoda cannot recognize RCPL.Meanwhile,we believe that UV-stimulated scaffold protein A(uvssa)and red pigment concentrating hormone(rpch)play special contributions in the left-handed CPL(LCPL)environment response.ISH revealing that 16 lws,6 middle-wavelength-sensitive(mws),and 2 ultraviolet(uv)opsin genes were expressed in the photoreceptors of the O.oratoria compound eye.Although the inability to determine the functional types of cell subpopulations limits the resolution of opsin genes,these findings systematically elucidate the specific expression patterns of opsin genes in O.oratoria and represent a significant step toward refining the visual ecological theory of O.oratoria and other stomatopod species.展开更多
Objective To develop a depression recognition model by integrating the spirit-expression diagnostic framework of traditional Chinese medicine(TCM)with machine learning algorithms.The proposed model seeks to establish ...Objective To develop a depression recognition model by integrating the spirit-expression diagnostic framework of traditional Chinese medicine(TCM)with machine learning algorithms.The proposed model seeks to establish a TCM-informed tool for early depression screening,thereby bridging traditional diagnostic principles with modern computational approaches.Methods The study included patients with depression who visited the Shanghai Pudong New Area Mental Health Center from October 1,2022 to October 1,2023,as well as students and teachers from Shanghai University of Traditional Chinese Medicine during the same period as the healthy control group.Videos of 3–10 s were captured using a Xiaomi Pad 5,and the TCM spirit and expressions were determined by TCM experts(at least 3 out of 5 experts agreed to determine the category of TCM spirit and expressions).Basic information,facial images,and interview information were collected through a portable TCM intelligent analysis and diagnosis device,and facial diagnosis features were extracted using the Open CV computer vision library technology.Statistical analysis methods such as parametric and non-parametric tests were used to analyze the baseline data,TCM spirit and expression features,and facial diagnosis feature parameters of the two groups,to compare the differences in TCM spirit and expression and facial features.Five machine learning algorithms,including extreme gradient boosting(XGBoost),decision tree(DT),Bernoulli naive Bayes(BernoulliNB),support vector machine(SVM),and k-nearest neighbor(KNN)classification,were used to construct a depression recognition model based on the fusion of TCM spirit and expression features.The performance of the model was evaluated using metrics such as accuracy,precision,and the area under the receiver operating characteristic(ROC)curve(AUC).The model results were explained using the Shapley Additive exPlanations(SHAP).Results A total of 93 depression patients and 87 healthy individuals were ultimately included in this study.There was no statistically significant difference in the baseline characteristics between the two groups(P>0.05).The differences in the characteristics of the spirit and expressions in TCM and facial features between the two groups were shown as follows.(i)Quantispirit facial analysis revealed that depression patients exhibited significantly reduced facial spirit and luminance compared with healthy controls(P<0.05),with characteristic features such as sad expressions,facial erythema,and changes in the lip color ranging from erythematous to cyanotic.(ii)Depressed patients exhibited significantly lower values in facial complexion L,lip L,and a values,and gloss index,but higher values in facial complexion a and b,lip b,low gloss index,and matte index(all P<0.05).(iii)The results of multiple models show that the XGBoost-based depression recognition model,integrating the TCM“spirit-expression”diagnostic framework,achieved an accuracy of 98.61%and significantly outperformed four benchmark algorithms—DT,BernoulliNB,SVM,and KNN(P<0.01).(iv)The SHAP visualization results show that in the recognition model constructed by the XGBoost algorithm,the complexion b value,categories of facial spirit,high gloss index,low gloss index,categories of facial expression and texture features have significant contribution to the model.Conclusion This study demonstrates that integrating TCM spirit-expression diagnostic features with machine learning enables the construction of a high-precision depression detection model,offering a novel paradigm for objective depression diagnosis.展开更多
Background:Scutellaria baicalensis Georgi is a medicinal plant prized for its bioactive flavonoid derivatives.Flavonoid O-methyltransferases(OMTs)in this species play a vital role in enhancing these compounds’pharmac...Background:Scutellaria baicalensis Georgi is a medicinal plant prized for its bioactive flavonoid derivatives.Flavonoid O-methyltransferases(OMTs)in this species play a vital role in enhancing these compounds’pharmacological activities,including their antioxidant,anti-inflammatory,and anticancer effects.However,a comprehensive genomic overview of the OMT gene family in S.baicalensis is lacking.Methods:This study conducted a genome-wide identification of the OMT gene family in S.baicalensis using bioinformatics approaches.The identified genes were characterized through phylogenetic,physicochemical,and structural analyses.Furthermore,the response of methoxylated flavonoids and key SbOMT genes to drought stress was investigated.Results:A total of 54 SbOMTs were identified and classified into 9 CCoAOMT and 45 COMT subfamily members.These proteins,with lengths from 129 to 695 amino acids and molecular weights from 14.42 to 76.94 kDa,were predominantly acidic.Subcellular localization predicted 43% to be cytoplasmic.Structurally,the CCoAOMT subfamily was more conserved than the COMT subfamily.Promoter analysis revealed hormone-and stress-responsive cis-elements.Under drought stress,the root content of methoxylated flavonoids(wogonin,wogonoside,and oroxylin A)decreased initially and then increased.The expression of SbOMT06,SbOMT41,SbOMT27,and SbOMT29 was positively correlated with this accumulation,suggesting their involvement in biosynthesis.Conclusion:This study provides foundational insights into the SbOMT gene family,revealing key candidates likely involved in methoxyflavonoid biosynthesis.The findings advance our understanding of the molecular mechanisms in S.baicalensis and offer valuable resources for future metabolic engineering and pathway optimization efforts.展开更多
While methodology for determining the mode of evolution in coding sequences has been well established,evaluation of adaptation events in emerging types of phenotype data needs further development.Here,we propose an an...While methodology for determining the mode of evolution in coding sequences has been well established,evaluation of adaptation events in emerging types of phenotype data needs further development.Here,we propose an analysis framework(expression variance decomposition,EVaDe)for comparative single-cell expression data based on phenotypic evolution theory.After decomposing the gene expression variance into separate components,we use two strategies to identify genes exhibiting large between-taxon expression divergence and small within-cell-type expression noise in certain cell types,attributing this pattern to putative adaptive evolution.In a dataset of primate prefrontal cortex,we find that such humanspecific key genes enrich with neurodevelopment-related functions,while most other genes exhibit neutral evolution patterns.Specific neuron types are found to harbor more of these key genes than other cell types,thus likely to have experienced more extensive adaptation.Reassuringly,at the molecular sequence level,the key genes are significantly associated with the rapidly evolving conserved non-coding elements.An additional case analysis comparing the naked mole-rat(NMR)with the mouse suggests that innateimmunity-related genes and cell types have undergone putative expression adaptation in NMR.Overall,the EVaDe framework may effectively probe adaptive evolution mode in single-cell expression data.展开更多
Agrobacterium-mediated transient gene expression is a powerful technique for rapidly evaluating gene expression in higher plants.This study aimed to improve transient expression levels of T-DNA genes in citrus by inve...Agrobacterium-mediated transient gene expression is a powerful technique for rapidly evaluating gene expression in higher plants.This study aimed to improve transient expression levels of T-DNA genes in citrus by investigating the effects of various factors,including seedling age,tissue treatments,Agrobacterium incubation medium and duration,hormone combinations,methylation inhibitors,antioxidants,and more.These parameters were optimized and tested,and significant increases in transient gene expression in juvenile epicotyls of Carrizo citrange and mature stem tissues of Pineapple sweet orange,Valencia orange,and Washington navel orange were observed.The present results demonstrated up to a six-fold increase in transient GUS gene expression,highlighting the effectiveness of these simple and inexpensive treatments.The juvenile and mature citrus explants used in this study displayed high levels of transient expression,which may provide a valuable tool for studying phloem-associated diseases such as Huanglongbing(HLB),facilitating rapid analysis of gene expression involved in Candidatus Liberibacter asiacticus(CLas)pathogenicity.This optimized method may also offer a promising tool for advancing genetic studies and improving the efficiency of Agrobacterium-mediated transgene-free editing in citrus and other economically significant perennial crops.展开更多
Sugars and organic acids form the core fundamental flavor foundation of ripe papaya fruit.Although R2R3-type v-myb myeloblastosis viral oncogene homolog transcription factors(R2R3-MYB TFs)have been reported to play im...Sugars and organic acids form the core fundamental flavor foundation of ripe papaya fruit.Although R2R3-type v-myb myeloblastosis viral oncogene homolog transcription factors(R2R3-MYB TFs)have been reported to play important roles in regulating the primary and secondary metabolism in fruits.However,the functions and underlying regulatory mechanisms of R2R3-MYB TFs in the metabolism of sugars and organic acids during papaya ripening remain unclear.In this study,through RNA sequencing(RNA-seq)coupled with quantitative real-time polymerase chain reaction(qRT-PCR)validation,a novel ethylene-responsive R2R3-MYB TF gene,CpMYB114-like(CpMYB114L),was identified.Transcriptome analysis and ethylene induction assays highlighted CpMYB114L as the key MYB gene activated during papaya ripening.Subcellular localization experiments confirmed that CpMYB114L was localized in the nucleus.Analyses of transgenic papaya fruits and calli,demonstrated that CpMYB114L promoted the accumulation of glucose,fructose,and sucrose,while simultaneously accelerating malate degradation.DNA Affinity Purification sequencing(DAP-seq)combined with yeast one-hybrid(Y1H)assays identified that CpMYB114L directly bound to the promoters of two sugar/organic acid metabolism-related genes,Isocitrate dehydrogenase 5(CpIDH5)and NADP-dependent malic enzyme 2(CpNADP-ME2).Electrophoretic mobility shift(EMSA),dual-luciferase reporter(Dual-LUC)and chromatin immunoprecipitation-quantitative PCR(ChIP-qPCR)assays further confirmed that CpMYB114L positively activated the expression of CpIDH5 and CpNADP-ME2 by directly binding to the specific regions of their promoters.Notably,transient overexpression of CpNADP-ME2 in papaya fruits and calli recapitulated decreased malate levels and increased sugar content,whereas CpIDH5 overexpression did not exhibit any functional relevance.This study elucidates a regulatory module,CpMYB114L-CpNADP-ME2,linking malate catabolism and sugar accumulation,offering valuable insights into flavor improvement strategies for papaya.展开更多
Global warming and water eutrophication are expanding oceanic anoxic zones and increasingly exposing offshore salmonid aquaculture to hypoxia during summer time.To evaluate the potential hypoxic tolerance difference b...Global warming and water eutrophication are expanding oceanic anoxic zones and increasingly exposing offshore salmonid aquaculture to hypoxia during summer time.To evaluate the potential hypoxic tolerance difference between landlocked rainbow trout(Oncorhynchus mykiss)and anadromous steelhead(O.mykiss)in physiological responses,hematological parameters,liver antioxidant activities,and gene expression were measured before stress,after 12 and 24 h of hypoxia,and after 24 h of reoxygenation.Serum alanine aminotransferase(ALT),alkaline phosphatase(ALP),and lactate dehydrogenase(LDH)activities initially increased significantly in both fishes,then declined during extended hypoxia and reoxygenation.Peak values occurred at 12 h in steelhead and 24 h in rainbow trout,indicating a superior metabolic adjustment in steelhead.In rainbow trout liver,hypoxia significantly elevated catalase(CAT)activity but reduced superoxide dismutase(SOD)activity and lipid peroxidation(LPO)content.Conversely,steelhead showed increased SOD activity and decreased CAT activity,malondialdehyde(MDA)and LPO contents.Total antioxidative capacity(T-AOC)was significantly higher in steelhead than in rainbow trout under hypoxic stress.The Integrated Biomarker Response Version 2(IBRv2)index was higher in rainbow trout,reflecting greater physiological stress.Both fishes exhibited significant upregulation of liver erythropoietin(epo)expression after 12 h of hypoxia,suggesting an adaptive enhancement of erythropoiesis.Overall,rainbow trout is more sensitive to hypoxia than steelhead.展开更多
The pathogenesis-related protein PR10 plays a vital role in plant growth,development,and stress responses.This study systematically identified and analyzed PR10 genes in cultivated peanut(Arachis hypogaea L.),examinin...The pathogenesis-related protein PR10 plays a vital role in plant growth,development,and stress responses.This study systematically identified and analyzed PR10 genes in cultivated peanut(Arachis hypogaea L.),examining their phylogenetic relationships,conserved motifs,gene structures,and syntenic relationships.The analysis identified 54 Ah PR10 genes,which were classified into eight groups based on phylogenetic relationships,supported by gene structure and conserved motif characterization.Analysis of chromosomal distribution and synteny demonstrated that segmental duplications played a crucial role in the expansion of the Ah PR10 gene family.The identified Ah PR10 genes exhibited both constitutive and inducible expression patterns.Significantly,Ah PR10-7,Ah PR10-33,and Ah PR10-41 demonstrated potential importance in peanut resistance to Aspergillus flavus.In vitro fungistatic experiments demonstrated that recombinant Ah PR10-33 effectively inhibited A.flavus mycelial growth.These findings provide valuable insights for future investigations into Ah PR10 functions in protecting peanut from A.flavus infection.展开更多
Mango(Mangifera indica)is a tropical,climacteric fruit with unique flavor and rich nutrition,but its postharvest shelf life is limited due to softening,rotting,and cold damage susceptibility.Recent research indicates ...Mango(Mangifera indica)is a tropical,climacteric fruit with unique flavor and rich nutrition,but its postharvest shelf life is limited due to softening,rotting,and cold damage susceptibility.Recent research indicates that storage at 12℃ can preserve mango fruit well,but the underlying preservation mechanism remains poorly understood.In this study,postharvest quality changes and antioxidant mechanism of‘Tainong No.1'mango stored at 12 and 30℃ with 90%±5%RH for 24 d were explored.The results showed that,compared with storage at 30℃,storage at 12℃ significantly maintained fruit firmness,while reducing weight loss rate and malondialdehyde(MDA)content.Better cell morphology and delayed starch degradation were found at 12℃ through microscopic analysis.Moreover,the mango fruit stored at 12℃ showed significantly enhanced activities of antioxidant enzymes,including peroxidase(POD),superoxide dismutase(SOD),phenylalanine ammonia lyase(PAL),and ascorbate peroxidase(APX).Induced expressions of enzyme genes supported the corresponding enhanced enzyme activities.Furthermore,correlation analysis demonstrated that SOD,total phenols,and flavonoids might have a greater contribution to balancing the ROS homeostasis of postharvest mangoes.These findings suggest that storage at 12℃ might maintain mango quality and prolong the storage period by regulating fruit antioxidant capacity.展开更多
Coconut(Cocos nucifera L.),a major oil and fruit crop of the Arecaceae family,is extensively cultivated across the Asia—Pacific region.Despite its agricultural importance,genome assembly in coconut remains challengin...Coconut(Cocos nucifera L.),a major oil and fruit crop of the Arecaceae family,is extensively cultivated across the Asia—Pacific region.Despite its agricultural importance,genome assembly in coconut remains challenging due to its large genome size and high proportion of repetitive sequences.Allele-specific expression(ASE)plays a key role in regulating plant development and evolution,yet research on ASE in coconut is limited(Shao et al.,2019;Li et al.,2021;Zhang et al.,2021;Hu et al.,2022).Among phenotypic traits,fruit color is especially important as an indicator of maturity,guiding harvest timing and post-harvest processes(Kapoor et al.,2022).While prior studies have explored various coconut traits such as salt tolerance,fiber content,and plant height(Wang et al.,2021;Yang et al.,2021),investigations into ASE and fruit color remain scarce.展开更多
Royal jelly(RJ),secreted by the hypopharyngeal and mandibular glands of young worker bees,is rich in proteins,80%-90%of which are major royal jelly proteins(MRJPs).While MRJPs from RJ have been shown to exhibit specif...Royal jelly(RJ),secreted by the hypopharyngeal and mandibular glands of young worker bees,is rich in proteins,80%-90%of which are major royal jelly proteins(MRJPs).While MRJPs from RJ have been shown to exhibit specific biological functions and are also expressed in neuronal cells,their roles in vivo remain poorly understood.The aim of this study was to elucidate the functional roles of individual MRJPs(MRJP1-9)in vivo by ectopically expressing them in Drosophila neurons in a binary expression system using fluorescent proteins as controls.Transcriptome sequencing revealed that although MRJP1-9 share similar tertiary structures,their overexpression affects distinct gene sets.MRJP1,MRJP2,MRJP3,MRJP5,and MRJP7 induced more differentially expressed genes(DEGs),while MRJP4,MRJP6,MRJP8,and MRJP9 induced fewer such genes.Weighted gene co-expression network analysis(WGCNA)and gene set enrichment analysis(GSEA)revealed that MRJP1,MRJP2,MRJP3,MRJP5,and MRJP7 regulated overlapping gene sets,including an estradiol-responsive set,and activated cell proliferation pathways.MRJP6 lacked any significant gene set enrichment,while MRJP8 and MRJP9 modulated similar sets.Notably,the neuron-specific overexpression of MRJP1,MRJP2,MRJP3,and MRJP5 in Drosophila showed activated cell proliferation-related pathways and increased body sizes,highlighting their functional diversity and context-dependent effects.These findings expand our understanding of the functional roles of MRJPs and provide a foundation for further exploring their biological significance in honeybees and beyond.展开更多
Facial Expression Recognition(FER)is an essential endeavor in computer vision,applicable in human-computer interaction,emotion assessment,and mental health surveillance.Although Convolutional Neural Networks(CNNs)have...Facial Expression Recognition(FER)is an essential endeavor in computer vision,applicable in human-computer interaction,emotion assessment,and mental health surveillance.Although Convolutional Neural Networks(CNNs)have proven effective in Facial Emotion Recognition,they encounter difficulties in capturing long-range connections and global context.To address these constraints,we propose Spatial Quad-Similarity Network(SQSNet),an innovative hybrid framework that integrates the local feature extraction capabilities of CNNs with the global contextual modeling efficacy of Swin Transformers via a cohesive fusion technique.SQSNet introduces the Spatial Quad-Similarity(SQS)module,a feature refinement approach that amplifies discriminative characteristics and mitigates redundancy.Unlike conventional metric learning approaches that operate on global feature representations,SQS computes fine-grained spatial-level similarity across multiple instances,enforcing H×W independent constraints that preserve spatial correspondence between expression-relevant facial regions.This spatial-level formulation is particularly effective for FER,where expressions manifest as localized muscle movements that are lost in global pooling operations.Moreover,SQSNet employs sophisticated regularization methods,including Mixup augmentation,label smoothing,and adaptive learning rate scheduling,to enhance generalization.Experimental findings on three benchmark datasets,RAF-DB,FERPlus,and AffectNet,indicate that SQSNet surpasses current FER methodologies,attaining state-of-the-art accuracies of 91.90%,91.11%,and 67.15%,respectively.These findings underscore the efficacy of integrating CNNs,Swin Transformers,and spatial similarity-driven feature refining for facial emotion identification,facilitating the development of more dependable emotion recognition systems.展开更多
基金supported by the National Key Research and Development Program of China(Grant No.2022YFD1200400)Special fund for youth team of the Southwest Universities(Grant No.SWU-XJPY202306)+2 种基金Chongqing Natural Science Foundation(Grant No.CSTB2024NSCQ-LZX0012)the National Natural Science Foundation of China(Grant No.32272111)the China Postdoctoral Science Foundation(Grant No.2025M773999)。
摘要Subtilases(SBTs)play important roles in plant development and resistance to environmental stresses.However,a systematic pan-genome characterization and functional analysis of the SBT family in polyploid crops had not been performed.In this study,we performed a pan-genome analysis of 17 rapeseed genomes and identified 1844 SBT family members,which were divided into 82 orthologous gene groups(OGGs)and classified into six subfamilies.Analysis of gene duplication analysis and gene expression patterns reveled that SBT subfamily 1A contains many core OGGs.The expression levels of the subfamily 1 OGG member Bna SBT.CR04 increased under salt-stress treatment.
基金Supported by Seed Industry Vitalization Project of Rural Revitalization Strategy of Guangdong Province of China(2024-440000-90060000-8796)。
摘要The fruit of Amomum villosum is highly valued for its medicinal and edible properties.However,the fruit abscission rate is exceptionally high,resulting in low unit yield.To better understand the fruit growth and development,this study investigated the characteristic changes of fruits and the expression patterns of GA-related genes in both fruits and fruit stalks.Results revealed that it takes approximately 90 days for the ovary of A.villosum to reach maturity.Fruit growth pattern exhibited a slow-fast-slow trend,with the peak of fruit weight accumulation occurring between the 14 and 25 days after artificial pollination(DAP).Before the 27 DAP,significant changes were observed in the ovary,fruit color,pericarp thickness,and fruit thorn length.Additionally,ten candidate GA-related genes,including 1 GA13ox,1 GA20ox,1 GA3ox,2 GA2oxs,4 GID1cs,and 1 DELLA,were analyzed using bioinformatics tools.The GA-related genes in fruit and fruit stalk exhibited significant correlations with fruit growth/development and fruit dropping.Overall,the fruit growth and development law,and the expression patterns of GA-related genes provided a theoretical foundation for further functional study and the screening of candidate genes for potential applications in A.villosum.
基金supported by the National Natural Science Foundation of China(32271580,42020104009)the Fundamental Research Funds for Zhejiang Provincial Universities and Research Institutes(JX6311101923)。
摘要Mytilus contain abundant antimicrobial peptides(AMPs)that play a key role in the innate immunity.However,heterologous production of these AMPs remains challenging due to their short sequences,multiple disulfide bonds,and high content of cationic amino acids,which hinder functional expression in prokaryotic systems such as Escherichia coli.To establish a eukaryotic recombinant expression system for the AMPs of mussel and obtain recombinant mussel AMPs for subsequent studies,we reported the successful recombinant expression of myticofensin B1,a novel defensin-like AMP identified previously in Mytiluscoruscus,using the eukaryotic host Pichia pastoris.The codon-optimized gene encoding the mature myticofensin-B1(composed of 65 amino acid residues,including 6 conserved cysteine residues)was cloned into a pPICZαA vector and expressed in P.pastoris GS115.Structural fidelity of the recombinant peptide was confirmed by liquid chromatography-tandem mass spectrometry(LC-MS/MS),showing a molecular weight of 8849.9 Da,which was consistent with the theoretical prediction.Functional assays demonstrated a broad-spectrum antimicrobial activity of the recombinant myticofensin-B1,with stronger inhibition against Gram-negative bacteria.Scanning electron microscopy revealed different effects of the recombinant myticofensin-B1 against different bacteria.In addition,the recombinant myticofensin-B1 exhibited a very low hemolytic activity against sheep red blood cells and weak cytotoxicity against human A549 lung cancer cells.This study establishes P.pastoris as a powerful platform to produce functional mussel AMP and highlights the potential of the recombinant myticofensin-B1 as a therapeutic agent for aquaculture pathogens and infections.
基金funded through the following grants:the National Natural Science Foundation of China(32370665)the Guangdong Basic and Applied Basic Research Foundation(2024A1515030117)the Innovation Capability Support Plan Project of Shaanxi Province(2024ZCKJXX-038)to Wenyu Zhang。
摘要While sex-biased gene expression and its evolutionary dynamics across taxa have been extensively investigated,systematic separate characterization of the evolutionary patterns in transcriptome divergence between male and female lineages remains underexplored.Here,we analyze a comprehensive RNA-seq data set from the house mouse complex,spanning multiple organs across subspecies and species,to delineate the evolutionary trajectories of gene expression in males and females in intra-and inter-species contrasts.For both sexes,we find specific gene expression divergence patterns across the surveyed organs,with a particularly high divergence rate at early evolutionary stages of separation.Comparative analysis between sexes demonstrates male reproductive organs,particularly the testis,displaying accelerated evolutionary rates of expression divergence.Strikingly,testicular long non-coding RNA genes show the most pronounced acceleration,with differences emerging already after a few thousand years of population separation.In contrast,somatic organs and female reproductive auxiliary tissues show no major sex-specific evolutionary dynamics.Genes with sex-biased expression substantially contribute to differentially expressed genes across evolutionary transitions,though without predominant directional bias toward either sex.Notably,these differentially expressed genes display significant over-representation on autosomes.A general functional divergence process is found between male and female transcriptomes across organs mainly driven by sex-specific differentially expressed genes.Collectively,our findings establish a new evolutionary framework for sex-specific expression divergence and provide novel insights into the role of reproductive constraints in shaping transcriptome evolution in mammals.
基金supported by the National Agricultural Science and Technology Major Project(2022)Guangxi Science and Technology Program Project(GuikeJB23023003)+1 种基金the earmarked fund for the China Agriculture Research System(CARS-35)Guangdong Basic and Applied Basic Research Foundation(2022A1515110822)。
摘要Background Differences across breeds in adaptation to various environments and in performance on complex traits such as growth rate are very common in livestock.These differences have been attributed to various factors,including genetic variation,selection,and environmental influences.Gene expression regulation,serving as a critical intermediary mechanism that bridges genotypes and phenotypes,may play a pivotal role in driving these differences across breeds.Hence,we characterized the breed-shared and breed-specific pattern in genetic regulatory effects on gene expression via expression quantitative trait locus(eQTL)mapping in three pig breeds(Duroc,Landrace,and Yorkshire),aiming to gain a deeper understanding of the molecular basis underlying complex trait differences across breeds.Results We observed breed differentiation at both the single-nucleotide polymorphism(SNP)and gene expression levels.By eQTL mapping,within each tissue,an average of 71.1% of the eGenes identified in each breed were breed-shared,while the remaining 28.9% were breed-specific.We found that some regulatory effects are relevant to either the difference in average gene expression or expression variance among populations.Breed-shared eGenes were more abundant,showed larger effect sizes and lower evolutionary conservation,and vice versa.Enrichment analysis showed that the genome-wide association studies(GWAS)loci were significantly enriched in the cis-eQTLs of eGenes for an average of 12 of 19 complex traits per breed.These loci exhibited higher enrichment for breedspecific eGenes than for breed-shared eGenes.Through colocalization analyses with GWAS loci,we observed 220 colocalization events(PP.H4>0.8)with breed-specific eGenes and 758 events with breed-shared eGenes.Conclusions Our study reveals breed-shared and breed-specific effects and characteristics of genetic regulation on gene expression in three pig breeds.Both breed-shared and breed-specific eGenes contribute to the regulatory variation in complex traits,with breed-specific eGenes capturing additional regulatory signals not explained by breeshared eGenes.Together,these findings demonstrate that both shared and breed-specific regulatory variation play important roles in shaping gene expression and suggest their potential contribution to complex traits.
基金supported by the National Natural Science Foundation of China(32271828,31922061)the National Key Research and Development Program of China(2021YFD2201100)Fundamental Research Funds for the Central Universities(2020SCUNL103).
摘要Sexual dimorphism in dioecious plants is common in reproductive tissues.Genes expressed in these tissues often show sex bias and differ between sexes in their protein evolutionary rates.At the same time,sex-linked genes often balance their expression levels between sexes through dosage compensation.We compared gene expression between males and females in floral and leaf tissues of eight dioecious Salicaceae species whose sex chromosomes are young to understand the level of conservation and diversity of genes with sex-biased expression.Our results revealed that sexually dimorphic gene expression showed large numbers of differences among these species,with only 6%of the genes remaining conserved,showing a consistent sex-biased direction in at least seven species.Protein evolutionary rates depended on their degree of conservation and the direction of sex bias in expression.Non-core sex-biased genes showed elevated evolutionary rates and core male-biased genes showed higher nonsynonymous and synonymous substitutions than unbiased genes.Detailed studies in three willow species revealed that the expression dosage of most sex-linked genes was partially(0.51)compensated through reducing gene expression in the homogametic sex.Our results provide novel insights into how sexually dimorphic gene expression evolves during repeated turnovers of sex chromosomes in plants and confirm that dosage compensation mechanisms evolve relatively early in the development of sex chromosomes.
基金supported by the Basic Science Research Program through the National Research Foundation of Korea(NRF),funded by the Ministry of Education(Grant No.RS-2023-00245099)the Jeju RISE Center,funded by the Ministry of Education and the Jeju Special Self-Governing Province in 2025,as part of the“Regional Innovation System&Education(RISE):Glocal University 30”initiativethe Cooperative Research Program for Agriculture Science&Technology Development,Rural Development Administration,Republic of Korea(Grant No.RS-2021-RD010153)。
摘要Background Fat metabolism in pigs is controlled by tissue-specific molecular mechanisms that ultimately affect growth performance and meat quality.Understanding how epigenetic modifications interact with gene expression across key metabolic and fat-depositing tissues is essential for identifying regulatory processes and potential biomarkers to improve pork quality traits.Therefore,this study aimed to elucidate tissue specific epigenetic regulation of fat metabolism by integrating DNA methylation and gene expression profiles from liver,backfat,and loin(longissimus dorsi)tissues at two physiologically developmental stages(10 and 26 weeks),representing the early post-weaning growth phase and near-market weight,respectively.By explicitly comparing these ages and tissues,the study was designed to capture the transition from muscle-dominated growth to increased lipid deposition and to identify tissue-and stage-specific regulatory signatures that may serve as biomarkers for pork quality.Results Genome-wide DNA methylation exhibited weak clustering by tissue,whereas gene expression showed clear tissue separation.The liver harbored fewer genes with differential methylation across stage and tissue but a greater number of genes with differential expression than backfat and loin,suggesting distinct regulatory modes.Integrative analysis of the overlap genes between methylation and expression signals highlighted epigenetically mediated regulation of extracellular matrix organization,lipid metabolism,and muscle development pathways.Furthermore,weighted gene co-expression network analysis revealed distinct tissue-specific correlations between co-methylated and co-expressed modules,with enrichment in cholesterol biosynthesis,muscle contractility,and extracellular matrix remodeling.Together,these findings suggest that methylation changes are more subtle than transcriptional shifts,yet they are aligned with key functional pathways,consistent with a role for methylation as a fine-tuning mechanism that shapes tissue-specific transcriptional networks during growth.Conclusions Across liver,backfat,and loin,DNA methylation modulates transcriptional programs in a tissue-dependent manner,prioritizing pathways central to lipid handling,extracellular matrix remodeling,and muscle function.This integrated multi-omics framework highlights candidate epigenetic markers and regulatory modules with potential utility for improving pork quality traits through selection or management strategies.
基金supported by UKRI(Grant EP/W020408/1)the Humanities and Social Science Fund of Ministry of Education of China(23YJAZH084).
摘要Analysing learners'facial expressions during learning and exploring their learning processes and emotional changes are of great significance for assisting teachers'teaching and promoting smart education.In complex learning environments,static facial expression recognition fails to capture the dynamic changes of learners'expressions losing the continuous features in the learning process,and its recognition effect is easily interfered with by factors such as occlusion and lighting variations during learning.To address the above issues,a network model based on adaptive global attention and temporal difference is proposed to recognise learners'dynamic expression sequences.Firstly,we have designed an Adaptive Global Attention(AGA)block,which adaptively models inter-channel relationships to dynamically enhance key channels that are highly correlated with learners'states while suppressing redundant information,thereby improving the model's feature representation capability under noisy environments.Secondly,we have designed a Differential Temporal Transformer(DTFormer)to extract differential information between consecutive frames,increasing the model's sensitivity to learners'facial expression dynamics and improving recognition performance.The two components complement each other in terms of spatial feature enhancement and temporal dynamic modelling effectively improving the model's overall capability for representing learners'dynamic facial expressions.Experiments were conducted on public datasets DFEW,FERV39k and the learner E-learning emotional state data set DAiSEE,and comparisons were made with classical methods using objective indicators.The results demonstrate that the proposed method outperforms the comparison methods in multiple performance indicators,thereby verifying its effectiveness.
基金Supported by the Natural Science Foundation of Shandong Province(No.ZR2021QD110)the National Natural Science Foundation of China(No.42106128)。
摘要Due to the unique microstructure and diverse opsin genes of the trinocular compound eye,stomatopoda possess an extraordinary ability to perceive multiple properties of light.They not only can detect natural light(NL)and linearly polarized light(LPL),but also are the only animals capable of recognizing circularly polarized light(CPL).Here,we integrated single-cell RNA sequencing,previously published Illumina data,and in-situ hybridization(ISH)to quantify and localize functional opsin genes in Oratosquilla oratoria,a common stomatopoda species in the China Sea.A total of high-quality 31777 cells were captured for the first time in the O.oratoria compound eye,which were classified into 25 cell subpopulations,and hypothesized that cluster 22 is a critical cell subpopulation responsible for light(whether NL,LPL,or CPL)response in O.oratoria.Furthermore,we propose that the long-wavelengthsensitive opsin gene(lws)gene family,retinol dehydrogenase(rdh),voltage-gated ion channel(vgic),arrestin(arr),and myosin(myo)collectively mediate the light response in O.oratoria.Considering that very few vision-related opsin genes show differential expression in right-handed CPL(RCPL)-vs.-dark(DL),which provides additional evidence that stomatopoda cannot recognize RCPL.Meanwhile,we believe that UV-stimulated scaffold protein A(uvssa)and red pigment concentrating hormone(rpch)play special contributions in the left-handed CPL(LCPL)environment response.ISH revealing that 16 lws,6 middle-wavelength-sensitive(mws),and 2 ultraviolet(uv)opsin genes were expressed in the photoreceptors of the O.oratoria compound eye.Although the inability to determine the functional types of cell subpopulations limits the resolution of opsin genes,these findings systematically elucidate the specific expression patterns of opsin genes in O.oratoria and represent a significant step toward refining the visual ecological theory of O.oratoria and other stomatopod species.
基金General Program of National Natural Science Foundation of China(82474390)Construction Project of Pudong New Area Famous TCM Studios(National Pilot Zone for TCM Development,Shanghai)(PDZY-2025-0716)Shanghai Municipal Science and Technology Program Project Shanghai Key Laboratory of Health Identification and Assessment(21DZ2271000).
摘要Objective To develop a depression recognition model by integrating the spirit-expression diagnostic framework of traditional Chinese medicine(TCM)with machine learning algorithms.The proposed model seeks to establish a TCM-informed tool for early depression screening,thereby bridging traditional diagnostic principles with modern computational approaches.Methods The study included patients with depression who visited the Shanghai Pudong New Area Mental Health Center from October 1,2022 to October 1,2023,as well as students and teachers from Shanghai University of Traditional Chinese Medicine during the same period as the healthy control group.Videos of 3–10 s were captured using a Xiaomi Pad 5,and the TCM spirit and expressions were determined by TCM experts(at least 3 out of 5 experts agreed to determine the category of TCM spirit and expressions).Basic information,facial images,and interview information were collected through a portable TCM intelligent analysis and diagnosis device,and facial diagnosis features were extracted using the Open CV computer vision library technology.Statistical analysis methods such as parametric and non-parametric tests were used to analyze the baseline data,TCM spirit and expression features,and facial diagnosis feature parameters of the two groups,to compare the differences in TCM spirit and expression and facial features.Five machine learning algorithms,including extreme gradient boosting(XGBoost),decision tree(DT),Bernoulli naive Bayes(BernoulliNB),support vector machine(SVM),and k-nearest neighbor(KNN)classification,were used to construct a depression recognition model based on the fusion of TCM spirit and expression features.The performance of the model was evaluated using metrics such as accuracy,precision,and the area under the receiver operating characteristic(ROC)curve(AUC).The model results were explained using the Shapley Additive exPlanations(SHAP).Results A total of 93 depression patients and 87 healthy individuals were ultimately included in this study.There was no statistically significant difference in the baseline characteristics between the two groups(P>0.05).The differences in the characteristics of the spirit and expressions in TCM and facial features between the two groups were shown as follows.(i)Quantispirit facial analysis revealed that depression patients exhibited significantly reduced facial spirit and luminance compared with healthy controls(P<0.05),with characteristic features such as sad expressions,facial erythema,and changes in the lip color ranging from erythematous to cyanotic.(ii)Depressed patients exhibited significantly lower values in facial complexion L,lip L,and a values,and gloss index,but higher values in facial complexion a and b,lip b,low gloss index,and matte index(all P<0.05).(iii)The results of multiple models show that the XGBoost-based depression recognition model,integrating the TCM“spirit-expression”diagnostic framework,achieved an accuracy of 98.61%and significantly outperformed four benchmark algorithms—DT,BernoulliNB,SVM,and KNN(P<0.01).(iv)The SHAP visualization results show that in the recognition model constructed by the XGBoost algorithm,the complexion b value,categories of facial spirit,high gloss index,low gloss index,categories of facial expression and texture features have significant contribution to the model.Conclusion This study demonstrates that integrating TCM spirit-expression diagnostic features with machine learning enables the construction of a high-precision depression detection model,offering a novel paradigm for objective depression diagnosis.
基金funded by the National Natural Science Foundation of China(82404814,82404863)Start-up Research Fund of Nanjing Agricultural University(130-804141)+1 种基金the National Administration of Traditional Chinese Medicine High-level Key Discipline Construction Project(zyyzdxk-2023293)Scientific research Project of Jiangsu Institute of Product Quality Supervision and Inspection(KJ2025008).
摘要Background:Scutellaria baicalensis Georgi is a medicinal plant prized for its bioactive flavonoid derivatives.Flavonoid O-methyltransferases(OMTs)in this species play a vital role in enhancing these compounds’pharmacological activities,including their antioxidant,anti-inflammatory,and anticancer effects.However,a comprehensive genomic overview of the OMT gene family in S.baicalensis is lacking.Methods:This study conducted a genome-wide identification of the OMT gene family in S.baicalensis using bioinformatics approaches.The identified genes were characterized through phylogenetic,physicochemical,and structural analyses.Furthermore,the response of methoxylated flavonoids and key SbOMT genes to drought stress was investigated.Results:A total of 54 SbOMTs were identified and classified into 9 CCoAOMT and 45 COMT subfamily members.These proteins,with lengths from 129 to 695 amino acids and molecular weights from 14.42 to 76.94 kDa,were predominantly acidic.Subcellular localization predicted 43% to be cytoplasmic.Structurally,the CCoAOMT subfamily was more conserved than the COMT subfamily.Promoter analysis revealed hormone-and stress-responsive cis-elements.Under drought stress,the root content of methoxylated flavonoids(wogonin,wogonoside,and oroxylin A)decreased initially and then increased.The expression of SbOMT06,SbOMT41,SbOMT27,and SbOMT29 was positively correlated with this accumulation,suggesting their involvement in biosynthesis.Conclusion:This study provides foundational insights into the SbOMT gene family,revealing key candidates likely involved in methoxyflavonoid biosynthesis.The findings advance our understanding of the molecular mechanisms in S.baicalensis and offer valuable resources for future metabolic engineering and pathway optimization efforts.
摘要While methodology for determining the mode of evolution in coding sequences has been well established,evaluation of adaptation events in emerging types of phenotype data needs further development.Here,we propose an analysis framework(expression variance decomposition,EVaDe)for comparative single-cell expression data based on phenotypic evolution theory.After decomposing the gene expression variance into separate components,we use two strategies to identify genes exhibiting large between-taxon expression divergence and small within-cell-type expression noise in certain cell types,attributing this pattern to putative adaptive evolution.In a dataset of primate prefrontal cortex,we find that such humanspecific key genes enrich with neurodevelopment-related functions,while most other genes exhibit neutral evolution patterns.Specific neuron types are found to harbor more of these key genes than other cell types,thus likely to have experienced more extensive adaptation.Reassuringly,at the molecular sequence level,the key genes are significantly associated with the rapidly evolving conserved non-coding elements.An additional case analysis comparing the naked mole-rat(NMR)with the mouse suggests that innateimmunity-related genes and cell types have undergone putative expression adaptation in NMR.Overall,the EVaDe framework may effectively probe adaptive evolution mode in single-cell expression data.
摘要Agrobacterium-mediated transient gene expression is a powerful technique for rapidly evaluating gene expression in higher plants.This study aimed to improve transient expression levels of T-DNA genes in citrus by investigating the effects of various factors,including seedling age,tissue treatments,Agrobacterium incubation medium and duration,hormone combinations,methylation inhibitors,antioxidants,and more.These parameters were optimized and tested,and significant increases in transient gene expression in juvenile epicotyls of Carrizo citrange and mature stem tissues of Pineapple sweet orange,Valencia orange,and Washington navel orange were observed.The present results demonstrated up to a six-fold increase in transient GUS gene expression,highlighting the effectiveness of these simple and inexpensive treatments.The juvenile and mature citrus explants used in this study displayed high levels of transient expression,which may provide a valuable tool for studying phloem-associated diseases such as Huanglongbing(HLB),facilitating rapid analysis of gene expression involved in Candidatus Liberibacter asiacticus(CLas)pathogenicity.This optimized method may also offer a promising tool for advancing genetic studies and improving the efficiency of Agrobacterium-mediated transgene-free editing in citrus and other economically significant perennial crops.
基金supported by grants from the National Natural Science Foundation of China(Grant Nos.32102355,32572974)the Guangzhou Municipal Science and Technology Project(Grant Nos.2024A04J6951,2023B03J1369)+1 种基金the Special Fund for Rural Revitalization Strategy in Guangdong Province(Grant No.2024NPY-00-028)the"Young and Middle-aged Academic Leaders"Training Fund Project of Guangdong Academy of Agricultural Sciences(Grant No.R2023PY-JX005)。
摘要Sugars and organic acids form the core fundamental flavor foundation of ripe papaya fruit.Although R2R3-type v-myb myeloblastosis viral oncogene homolog transcription factors(R2R3-MYB TFs)have been reported to play important roles in regulating the primary and secondary metabolism in fruits.However,the functions and underlying regulatory mechanisms of R2R3-MYB TFs in the metabolism of sugars and organic acids during papaya ripening remain unclear.In this study,through RNA sequencing(RNA-seq)coupled with quantitative real-time polymerase chain reaction(qRT-PCR)validation,a novel ethylene-responsive R2R3-MYB TF gene,CpMYB114-like(CpMYB114L),was identified.Transcriptome analysis and ethylene induction assays highlighted CpMYB114L as the key MYB gene activated during papaya ripening.Subcellular localization experiments confirmed that CpMYB114L was localized in the nucleus.Analyses of transgenic papaya fruits and calli,demonstrated that CpMYB114L promoted the accumulation of glucose,fructose,and sucrose,while simultaneously accelerating malate degradation.DNA Affinity Purification sequencing(DAP-seq)combined with yeast one-hybrid(Y1H)assays identified that CpMYB114L directly bound to the promoters of two sugar/organic acid metabolism-related genes,Isocitrate dehydrogenase 5(CpIDH5)and NADP-dependent malic enzyme 2(CpNADP-ME2).Electrophoretic mobility shift(EMSA),dual-luciferase reporter(Dual-LUC)and chromatin immunoprecipitation-quantitative PCR(ChIP-qPCR)assays further confirmed that CpMYB114L positively activated the expression of CpIDH5 and CpNADP-ME2 by directly binding to the specific regions of their promoters.Notably,transient overexpression of CpNADP-ME2 in papaya fruits and calli recapitulated decreased malate levels and increased sugar content,whereas CpIDH5 overexpression did not exhibit any functional relevance.This study elucidates a regulatory module,CpMYB114L-CpNADP-ME2,linking malate catabolism and sugar accumulation,offering valuable insights into flavor improvement strategies for papaya.
基金supported by the National Natural Science Foundation of China(No.32373104)the Key Research and Development Program Projects of Shandong Province(No.2021SFGC0701)the Shandong-Chongqing(Luyu)Science and Technology Collaboration Project(No.CSTB2022TIAD-LDX0006)。
摘要Global warming and water eutrophication are expanding oceanic anoxic zones and increasingly exposing offshore salmonid aquaculture to hypoxia during summer time.To evaluate the potential hypoxic tolerance difference between landlocked rainbow trout(Oncorhynchus mykiss)and anadromous steelhead(O.mykiss)in physiological responses,hematological parameters,liver antioxidant activities,and gene expression were measured before stress,after 12 and 24 h of hypoxia,and after 24 h of reoxygenation.Serum alanine aminotransferase(ALT),alkaline phosphatase(ALP),and lactate dehydrogenase(LDH)activities initially increased significantly in both fishes,then declined during extended hypoxia and reoxygenation.Peak values occurred at 12 h in steelhead and 24 h in rainbow trout,indicating a superior metabolic adjustment in steelhead.In rainbow trout liver,hypoxia significantly elevated catalase(CAT)activity but reduced superoxide dismutase(SOD)activity and lipid peroxidation(LPO)content.Conversely,steelhead showed increased SOD activity and decreased CAT activity,malondialdehyde(MDA)and LPO contents.Total antioxidative capacity(T-AOC)was significantly higher in steelhead than in rainbow trout under hypoxic stress.The Integrated Biomarker Response Version 2(IBRv2)index was higher in rainbow trout,reflecting greater physiological stress.Both fishes exhibited significant upregulation of liver erythropoietin(epo)expression after 12 h of hypoxia,suggesting an adaptive enhancement of erythropoiesis.Overall,rainbow trout is more sensitive to hypoxia than steelhead.
基金supported by the National Key R&D Program of China(2022YFD1200400)the National Natural Science Foundation of China(32301851)。
摘要The pathogenesis-related protein PR10 plays a vital role in plant growth,development,and stress responses.This study systematically identified and analyzed PR10 genes in cultivated peanut(Arachis hypogaea L.),examining their phylogenetic relationships,conserved motifs,gene structures,and syntenic relationships.The analysis identified 54 Ah PR10 genes,which were classified into eight groups based on phylogenetic relationships,supported by gene structure and conserved motif characterization.Analysis of chromosomal distribution and synteny demonstrated that segmental duplications played a crucial role in the expansion of the Ah PR10 gene family.The identified Ah PR10 genes exhibited both constitutive and inducible expression patterns.Significantly,Ah PR10-7,Ah PR10-33,and Ah PR10-41 demonstrated potential importance in peanut resistance to Aspergillus flavus.In vitro fungistatic experiments demonstrated that recombinant Ah PR10-33 effectively inhibited A.flavus mycelial growth.These findings provide valuable insights for future investigations into Ah PR10 functions in protecting peanut from A.flavus infection.
基金funded by the Hainan Province Agricultural Reclamation Team Joint Innovation Project(Grant No.HKKJ202432)the National Key Research and Development Program Project(Grant No.2023YFD2300803–7)Hainan University Mango Industry Technology System Construction Project.
摘要Mango(Mangifera indica)is a tropical,climacteric fruit with unique flavor and rich nutrition,but its postharvest shelf life is limited due to softening,rotting,and cold damage susceptibility.Recent research indicates that storage at 12℃ can preserve mango fruit well,but the underlying preservation mechanism remains poorly understood.In this study,postharvest quality changes and antioxidant mechanism of‘Tainong No.1'mango stored at 12 and 30℃ with 90%±5%RH for 24 d were explored.The results showed that,compared with storage at 30℃,storage at 12℃ significantly maintained fruit firmness,while reducing weight loss rate and malondialdehyde(MDA)content.Better cell morphology and delayed starch degradation were found at 12℃ through microscopic analysis.Moreover,the mango fruit stored at 12℃ showed significantly enhanced activities of antioxidant enzymes,including peroxidase(POD),superoxide dismutase(SOD),phenylalanine ammonia lyase(PAL),and ascorbate peroxidase(APX).Induced expressions of enzyme genes supported the corresponding enhanced enzyme activities.Furthermore,correlation analysis demonstrated that SOD,total phenols,and flavonoids might have a greater contribution to balancing the ROS homeostasis of postharvest mangoes.These findings suggest that storage at 12℃ might maintain mango quality and prolong the storage period by regulating fruit antioxidant capacity.
基金supported by Central Public-interest Scientific Institution Basal Research Fund(CATAS-Nos.1630152023007,1630152023011,1630152023012,1630152023013)the National Natural Science Foundation of China(Grant No.32071805).
摘要Coconut(Cocos nucifera L.),a major oil and fruit crop of the Arecaceae family,is extensively cultivated across the Asia—Pacific region.Despite its agricultural importance,genome assembly in coconut remains challenging due to its large genome size and high proportion of repetitive sequences.Allele-specific expression(ASE)plays a key role in regulating plant development and evolution,yet research on ASE in coconut is limited(Shao et al.,2019;Li et al.,2021;Zhang et al.,2021;Hu et al.,2022).Among phenotypic traits,fruit color is especially important as an indicator of maturity,guiding harvest timing and post-harvest processes(Kapoor et al.,2022).While prior studies have explored various coconut traits such as salt tolerance,fiber content,and plant height(Wang et al.,2021;Yang et al.,2021),investigations into ASE and fruit color remain scarce.
基金National Key Research and Development Program(No.2024YFF1106502)Fujian Provincial Natural Science Foundation(No.2024J01359)+1 种基金National Natural Science Foundation of China(No.31970461)Qi-Shan scholar grant of Fuzhou University(No.GXRC-20070),China。
摘要Royal jelly(RJ),secreted by the hypopharyngeal and mandibular glands of young worker bees,is rich in proteins,80%-90%of which are major royal jelly proteins(MRJPs).While MRJPs from RJ have been shown to exhibit specific biological functions and are also expressed in neuronal cells,their roles in vivo remain poorly understood.The aim of this study was to elucidate the functional roles of individual MRJPs(MRJP1-9)in vivo by ectopically expressing them in Drosophila neurons in a binary expression system using fluorescent proteins as controls.Transcriptome sequencing revealed that although MRJP1-9 share similar tertiary structures,their overexpression affects distinct gene sets.MRJP1,MRJP2,MRJP3,MRJP5,and MRJP7 induced more differentially expressed genes(DEGs),while MRJP4,MRJP6,MRJP8,and MRJP9 induced fewer such genes.Weighted gene co-expression network analysis(WGCNA)and gene set enrichment analysis(GSEA)revealed that MRJP1,MRJP2,MRJP3,MRJP5,and MRJP7 regulated overlapping gene sets,including an estradiol-responsive set,and activated cell proliferation pathways.MRJP6 lacked any significant gene set enrichment,while MRJP8 and MRJP9 modulated similar sets.Notably,the neuron-specific overexpression of MRJP1,MRJP2,MRJP3,and MRJP5 in Drosophila showed activated cell proliferation-related pathways and increased body sizes,highlighting their functional diversity and context-dependent effects.These findings expand our understanding of the functional roles of MRJPs and provide a foundation for further exploring their biological significance in honeybees and beyond.
摘要Facial Expression Recognition(FER)is an essential endeavor in computer vision,applicable in human-computer interaction,emotion assessment,and mental health surveillance.Although Convolutional Neural Networks(CNNs)have proven effective in Facial Emotion Recognition,they encounter difficulties in capturing long-range connections and global context.To address these constraints,we propose Spatial Quad-Similarity Network(SQSNet),an innovative hybrid framework that integrates the local feature extraction capabilities of CNNs with the global contextual modeling efficacy of Swin Transformers via a cohesive fusion technique.SQSNet introduces the Spatial Quad-Similarity(SQS)module,a feature refinement approach that amplifies discriminative characteristics and mitigates redundancy.Unlike conventional metric learning approaches that operate on global feature representations,SQS computes fine-grained spatial-level similarity across multiple instances,enforcing H×W independent constraints that preserve spatial correspondence between expression-relevant facial regions.This spatial-level formulation is particularly effective for FER,where expressions manifest as localized muscle movements that are lost in global pooling operations.Moreover,SQSNet employs sophisticated regularization methods,including Mixup augmentation,label smoothing,and adaptive learning rate scheduling,to enhance generalization.Experimental findings on three benchmark datasets,RAF-DB,FERPlus,and AffectNet,indicate that SQSNet surpasses current FER methodologies,attaining state-of-the-art accuracies of 91.90%,91.11%,and 67.15%,respectively.These findings underscore the efficacy of integrating CNNs,Swin Transformers,and spatial similarity-driven feature refining for facial emotion identification,facilitating the development of more dependable emotion recognition systems.