IR64 is an elite Xian/indica variety developed by International Rice Research Institute(IRRl)in 1985,which has been the most widely grown variety and core breeding parent in South/Southeast Asia(Mackill and Khush,2018...IR64 is an elite Xian/indica variety developed by International Rice Research Institute(IRRl)in 1985,which has been the most widely grown variety and core breeding parent in South/Southeast Asia(Mackill and Khush,2018).IR64 has been utilized to develop stress-tolerant(such as drought-adapted and submergenceresistant)near-isogenic lines,underscoring its great potential in agricultural genomics(Tanaka et al.,2020).展开更多
The genetic basis of early-stage salt tolerance in alfalfa(Medicago sativa L.),a key factor limiting its productivity,remains poorly understood.To dissect this complex trait,we integrate genome-wide association studie...The genetic basis of early-stage salt tolerance in alfalfa(Medicago sativa L.),a key factor limiting its productivity,remains poorly understood.To dissect this complex trait,we integrate genome-wide association studies(GWAS)and transcriptomics from 176 accessions within a machine learning based genomic prediction framework.Analysis reveals weak genetic correlations among four salt-tolerance traits and a gradual decline in performance under increasing salt stress.GWAS identify 60 significant associated SNPs,with the highest number detected under 100 mM salt stress.Salt tolerance exhibits an additive effect from favorable haplotypes,which are most abundant in Chinese accessions.GWAS-associated genes are related to key regulators of hormone signaling and osmotic adjustment,while transcriptome analysis indicates a global repression of stress-responsive transcription factors.Integrating these multi-omics datasets allows us to identify 14 candidate genes,including MsHSD1(seed dormancy)and MsMTATP6(energy metabolism).Crucially,incorporating these markers into genomic prediction models improve cross-population predictive accuracy to an average of 54.4%.This study provides insights into the genetic architecture of salt tolerance in alfalfa and offers valuable markers to facilitate molecular breeding.展开更多
Early prevention and control of coal spontaneous combustion have emerged as a critical research area in coal mine safety.Due to their sustainability and environmental friendliness,microorganisms have gained attention....Early prevention and control of coal spontaneous combustion have emerged as a critical research area in coal mine safety.Due to their sustainability and environmental friendliness,microorganisms have gained attention.A filamentous fungus was collected in the coal mine and identified as Absidia spinosa.Results indicated that the mycelium effectively covered and repaired many coal pores.The oxygen consumption ratio of A.spinosa was higher in coal-containing environments than in coal-free conditions.The fungus significantly impacted aliphatic functional groups,disrupting bridging bonds and side chains connected to aromatic structures and reducing the relative content of C—O bonds.Additionally,A.spinosa increases the ignition temperature by 25.34℃.The total heat release was decreased by approximately 32.58%,and the activation energies were increased.The genome of Absidia spinosa revealed genes related to oxygen consumption,small molecule degradation,and secretion of metabolic products,such as those annotated under GO ID:0140657,etc.The pathways involved in the degradation of small organic molecules(e.g.,ko00626,etc.),carbon fixation,and nitrogen cycling,all linked to coal decomposition.Through oxygen consumption and the alteration of coal-active structures,A.spinosa effectively inhibits CSC,providing an experimental basis for exploring eco-friendly biological control methods in the goaf.展开更多
Populus species,important economic species combining rapid growth with broad ecological adaptability,play a critical role in sustainable forestry and bioenergy production.In this study,we performed whole-genome resequ...Populus species,important economic species combining rapid growth with broad ecological adaptability,play a critical role in sustainable forestry and bioenergy production.In this study,we performed whole-genome resequencing of 707 individuals from a full-sib family to develop comprehensive single nucleotide polymorphism(SNP)markers and constructed a high-density genetic linkage map of 19 linkage groups.The total genetic length of the map reached 3623.65 cM with an average marker interval of 0.34 cM.By integrating multidimensional phenotypic data,89 quantitative trait loci(QTL)associated with growth,wood physical and chemical properties,disease resistance,and leaf morphology traits were identified,with logarithm of odds(LOD)scores ranging from 3.13 to 21.72 Notably,pleiotropic analysis revealed significant colocaliza and phenotypic variance explained between 1.7% and 11.6%.-tion hotspots on chromosomes LG1,LG5,LG6,LG8,and LG14,with epistatic interaction network analysis confirming genetic basis of coordinated regulation across multiple traits.Functional annotation of 207 candidate genes showed that R2R3-MYB and bHLH transcription factors and pyruvate kinase-encoding genes were significantly enriched,suggesting crucial roles in lignin biosynthesis and carbon metabolic pathways.Allelic effect analysis indicated that the frequency of favorable alleles associated with target traits ranged from 0.20 to 0.55.Incorporation of QTL-derived favorable alleles as random effects into Bayesian-based genomic selection models led to an increase in prediction accuracy ranging from 1% to 21%,with Bayesian ridge regression as the best predictive model.This study provides valuable genomic resources and genetic insights for deciphering complex trait architecture and advancing molecular breeding in poplar.展开更多
Modern oilseed breeding faces the complex challenge of simultaneously improving yield,nutritional quality,and stress resilience within a sustainable agricultural framework.A predictive,systems-oriented strategy offers...Modern oilseed breeding faces the complex challenge of simultaneously improving yield,nutritional quality,and stress resilience within a sustainable agricultural framework.A predictive,systems-oriented strategy offers a solution by using predictive modeling and precise genetic intervention to engineer target ideotypes.This review synthesizes the integration of genomic selection(GS),genome editing,and epigenetic regulation to operationalize a precision breeding strategy in major oilseed crops.We document how GS,utilizing high-density SNP arrays and sequencing data,has reduced breeding cycles by up to 50%in soybean,enabling rapid selection for complex traits like seed protein content.We highlight the precision of CRISPR-Cas systems in executing design goals,such as creating commercial-grade high-oleic soybeans(>80%oleic acid)by knocking out FAD2 genes.Similarly,editing glucosinolate biosynthesis genes in rapeseed has directly improved meal quality.Furthermore,we explore the emerging role of epigenetic regulation as a tunable layer in trait optimization,where DNA methylation patterns in sunflower are linked to drought stress memory and flowering time.Finally,we present an integrated molecular framework,which synergizes these technologies to develop ideotypes with optimized architectures and composition.Despite challenges in phenotyping and global regulation,the strategic implementation of this molecular toolkit is pioneering a new era of precision breeding for the sustainable intensification of oilseed production.展开更多
The Leafminers,representing a diverse group of insects from various genera within the Agromyzidae family,pose a significant threat to spinach(Spinacia oleracea L.)production.This study aimed to identify single nucleot...The Leafminers,representing a diverse group of insects from various genera within the Agromyzidae family,pose a significant threat to spinach(Spinacia oleracea L.)production.This study aimed to identify single nucleotide polymorphism(SNP)markers associated with leafminer resistance through a genome-wide association study(GWAS)and to evaluate the prediction accuracy(PA)for selecting resistant spinach using genomic prediction(GP).Using a dataset of 84301 SNPs obtained from whole-genome resequencing,seven GWAS models,including BLINK,FarmCPU,MLM,and MLMM in GAPIT 3,as well as MLM,GLM,and SMR in TASSEL 5,were employed to perform GWAS on a panel of 286 USDA spinach germplasm accessions.Three SNP markers,namely 1_115279256_C_T,3_157082529_C_T,and 4_168510908_T_G on chromosomes 1,3,and 4,respectively,were identified as associated with leafminer resistance.In the 30 kb flanking regions of these markers,four candidate genes(SOV1g031330,SOV1g031340,SOV4g047270,and SOV4g047280),encoding LOB domain-containing protein,KH domain-containing protein,were discovered.Nodulin-like domain-containing protein,and SAM domain-containing protein,were discovered.The PA for leafminer resistance selection was estimated using ten different SNP sets,including two GWAS-derived marker sets(three and 51 SNPs)and eight random marker sets(ranging from 51 to 10 K SNPs)analyzed by seven GP models.The findings emphasized the superior performance of GWAS-derived SNP sets,reaching a PA of up to 0.79 using the cBLUP model.Notably,this research marks the pioneering application of GP in the context of insect resistance,providing a significant advancement in the understanding and management of leafminer resistance in spinach cultivation.展开更多
Background Multibreed genomic prediction(MBGP)is crucial for improving prediction accuracy for breeds with small populations,for which limited data are often available.Recent studies have demonstrated that partitionin...Background Multibreed genomic prediction(MBGP)is crucial for improving prediction accuracy for breeds with small populations,for which limited data are often available.Recent studies have demonstrated that partitioning the genome into nonoverlapping blocks to model heterogeneous genetic(co)variance in multitrait models can achieve higher joint prediction accuracy.However,the block partitioning method,a key factor influencing model performance,has not been extensively explored.Results We introduce mbBayesABLD,a novel Bayesian MBGP model that partitions each chromosome into nonoverlapping blocks on the basis of linkage disequilibrium(LD)patterns.In this model,marker effects within each block are assumed to follow normal distributions with block-specific parameters.We employ simulated data as well as empirical datasets from pigs and beans to assess genomic prediction accuracy across different models using cross-validation.The results demonstrate that mbBayesABLD significantly outperforms conventional MBGP models,such as GBLUP and BayesR.For the meat marbling score trait in pigs,compared with GBLUP,which does not account for heterogeneous genetic(co)variance,mbBayesABLD improves the prediction accuracy for the small-population breed Landrace by 15.6%.Furthermore,our findings indicate that a moderate level of similarity in LD patterns between breeds(with an average correlation of 0.6)is sufficient to improve the prediction accuracy of the target breed.Conclusions This study presents a novel LD block-based approach for multibreed genomic prediction.Our work provides a practical tool for livestock breeding programs and offers new insights into leveraging genetic diversity across breeds for improved genomic prediction.展开更多
Genomic disorders affecting the central nervous system(CNS)are among the most complex and devastating conditions in human health.Moreover,these disorders,such as Rett syndrome,spinal muscular atrophy,and Fragile X syn...Genomic disorders affecting the central nervous system(CNS)are among the most complex and devastating conditions in human health.Moreover,these disorders,such as Rett syndrome,spinal muscular atrophy,and Fragile X syndrome,are typically caused by mutations in genes essential for neural development,synaptic function,or cellular homeostasis.Despite the genetic diversity involved,these diseases share key pathological features,including progressive neurodegeneration,disruption of neural circuits,and loss of cognitive or motor function.Meanwhile,one of the significant clinical challenges in treating CNS disorders is the limited regenerative capacity of the adult nervous system,which makes reversing disease progression extremely difficult once symptoms appear.In addition,the blood-brain barrier(BBB)restricts the passage of most systemically administered therapeutics,further complicating effective intervention.Consequently,current treatment options remain largely palliative,and effective cures remain elusive.展开更多
Inoculation of starter culture is a viable method to improve the quality of fermented foods,but its effect on the flavor metabolite profiles and the underlying mechanisms are still unclear.This study aimed to elucidat...Inoculation of starter culture is a viable method to improve the quality of fermented foods,but its effect on the flavor metabolite profiles and the underlying mechanisms are still unclear.This study aimed to elucidate the effects of starters(Lactiplantibacillus plantarum(LP)and Staphylococcus simulans(SS)individually or in combination(LS))on the flavor metabolite profiles of fermented sausages via metabolomics and genomics.L.plantarum markedly modified the composition of bacterial communities and made Lactobacillus spp.dominant in sausages(98.29%and 85.03%in LP and LS groups,respectively).Additionally,inoculation with a single starter,L.plantarum,and a mixed starter yielded similar non-volatile flavor metabolites,which were mainly characterized at the amino acid and peptide levels(relative intensities of 349.65 and 348.62 for the LP and LS groups,respectively).Meanwhile,the mixed starter group had the most volatile flavor metabolites(relative intensity of 34728.67),some of which were contributed by L.plantarum,such as ethyl acetate(relative intensities of 583.33 and 588.33 for the LP and LS groups,respectively)and benzaldehyde(relative intensities of 786.67 and 909.00 for the LP and LS groups,respectively),and several of which were generated by S.simulans,such as ethyl propionate(relative intensities of 214.67 and 136.67 for the SS and LS groups,respectively)and benzyl alcohol(relative intensities of 720.00 and 656.00 for the SS and LS groups,respectively).Furthermore,L.plantarum was found to possess more genes encoding peptidases(48)and carbohydrate-active enzymes(124),while S.simulans had more genes related to lipid hydrolysis(12).In conclusion,differences in the properties and combinations of indigenous strains play a crucial role in the generation of flavor metabolites in sausages.展开更多
The genus Clematis(Ranunculaceae)comprises over 300 species with remarkable morphological and ecological diversity worldwide.Despite its horticultural,medicinal,and ecological importance,a well-resolved phylogeny and ...The genus Clematis(Ranunculaceae)comprises over 300 species with remarkable morphological and ecological diversity worldwide.Despite its horticultural,medicinal,and ecological importance,a well-resolved phylogeny and coherent infrageneric classification are still lacking.Here,we reconstruct a robust phylogeny for Clematis using a phylogenomic approach and revise its infrageneric taxonomy.We incorporated 198 samples representing 151 species,two subspecies,and 12 varieties,covering all subgenera and most sections worldwide,obtained from both fresh and herbarium material.Nuclear single nucleotide polymorphisms(SNPs)and complete plastid genomes were assembled for phylogenetic analyses.We also prepared a nuclear ribosomal ITS(nrITS)dataset comprising 171 species,two subspecies,and 12 varieties(217 samples)to include as many species as possible for phylogenetic inference.Phylogenies based on plastid genomes and nrITS exhibited limited resolution and modest support,highlighting challenges in resolving certain relationships.Nuclear SNP analyses yielded a robust phylogenetic tree with 22 well-supported clades corresponding to 22 sections,with most previously recognized subgenera and sections not recovered as monophyletic.Ancestral state reconstruction of 12 key morphological characters revealed multiple independent origins of character states.This study presents the first comprehensive sectional classification for Clematis based on robust phylogenomic evidence,redefines morphological characteristics for each section,and resolves long-standing taxonomic ambiguities.Our results establish a framework for future studies on the evolution,ecology,and horticultural potential of this globally significant genus.展开更多
The Chamidae are widely distributed in the tropical to temperate seas,with>70 known species.Currently,their classification relies mainly on traditional morphological methods and identification primarily on small fr...The Chamidae are widely distributed in the tropical to temperate seas,with>70 known species.Currently,their classification relies mainly on traditional morphological methods and identification primarily on small fragment genes,such as COI.The intrafamily phylogenetic relationships are ambiguous,lacking support from reliable molecular data.In this study,the mitochondrial genomes of eight species of Chamidae were sequenced for the first time and then annotated.Their structures and compositional characteristics were analyzed.The mitochondrial gene order in this family differed significantly.Concurrently,the evolutionary position and phylogenetic relationship among Chamidae species were explored,and the Veneroida phylogenetic tree was recreated.Maximum Likelihood and Bayesian Inference analyses supported the monophyly of Chamidae.Additionally,the divergence time within Chamidae was estimated based on mitochondrial DNA sequences,with the most ancient divergence estimated to occur during the early Cretaceous period,128 MYA.This phylogeny is significant for understanding the diversity and taxonomic status of Chamidae.展开更多
Deep relationships in the angiosperm tree of life remain highly controversial.To address this,we first assembled the complete mitochondrial genomes for Ceratophyllum demersum and Chloranthus sessilifolius,confirming a...Deep relationships in the angiosperm tree of life remain highly controversial.To address this,we first assembled the complete mitochondrial genomes for Ceratophyllum demersum and Chloranthus sessilifolius,confirming a well-supported sister relationship that starkly conflicts with nuclear and plastid data.To dissect this classic cyto-nuclear conflict,we developed the‘PhyloForensics’framework,a novel diagnostic approach to systematically identify sources of phylogenetic instability.This framework revealed that signal heterogeneity(topological entropy variance)and information content(the proportion of informative sites)are the primary drivers of gene-tree conflict.Empirically validating this,we show that removing a small subset of“loudly conflicted”genes resolves deep-level incongruence,yielding a single,highly-supported topology previously obscured by noise.Finally,complementing this sequence-based resolution,we demonstrate that mitogenome architecture provides powerful phylogenetic signals,revealing predictable,mitogenome-wide evolutionary patterns,such as a significant negative correlation between branch length and both GC content and RNA editing sites.By integrating a validated conflict-resolution framework with architectural genomics,our study provides a comprehensive strategy for navigating the complexities of deep evolutionary histories.展开更多
Symbiotic nitrogen fixation in members of the Fabaceae family is highly efficient and beneficial for global agriculture,but not all species in this family form root nodules with rhizobial bacteria.Nodulation mainly oc...Symbiotic nitrogen fixation in members of the Fabaceae family is highly efficient and beneficial for global agriculture,but not all species in this family form root nodules with rhizobial bacteria.Nodulation mainly occurs in plants belonging to the Papilionoideae and Caesalpinioideae subfamilies(Tederso0 et al.,2018;van Velzen et al.,2019).Nodulation mechanisms in Fabaceae are well studied(Yang et al.,2022),and genomic comparisons of nodulating and non-nodulating host species can provide valuable insights into the evolutionary and genetic basis of this key process.展开更多
BACKGROUND The evolutionary mutational changes of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)since its emergence in Chhattisgarh,India in 2020 have warranted the need for the characterization of every ...BACKGROUND The evolutionary mutational changes of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)since its emergence in Chhattisgarh,India in 2020 have warranted the need for the characterization of every lineage/sublineage that has evolved until February 2024.AIM To unravel the evolutionary pathway of SARS-CoV-2 in Chhattisgarh from 2020 to February 2024.METHODS A total of 635 coronavirus disease 2019 cases obtained between 2020 and February 2024 were investigated by whole genome sequencing.RESULTS Whole genome sequencing analysis identified the evolution of SARS-CoV-2 into seventeen lineages from 2020 to 2024.SARS-CoV-2 initially emerged in Chhattisgarh in its Alpha(B.1.1.7)variant in 2020.Thereafter,it continuously underwent periodical mutational changes in the spike gene to further differentiate into various lineages/sublineages,viz.,Kappa,Delta,BA.1,and BA.2 in 2021;the Omicron lineage(BA.5,BA.2.12.1,BA.2.75,BQ.1,and XBB)in 2022;the new Omicron lineage(XBB.1.5,XBB.1.16,XBB.1.9.1,and XBB.2.3)in 2023;and finally to JN.1 in January and February 2024.The predominant lineages over these 4 years were BA.1.1.7(Alpha)in 2020,B.1.617.2(Delta)in the period between 2021 and mid-2022,B.1.1.529(Omicron)in late 2022 to 2023,and Omicron-JN.1 in early 2024.The presently circulating JN.1 lineage was observed harboring exclusive predominant mutations of E4554K,A570V,P621A,and P1143 L with 99%CONCLUSION SARS-CoV-2 from 2020 to 2024 has evolved into 17 lineages/sublineages in Chhattisgarh.The presently circulating JN.1 harbored 40 mutations,especially E554K,A570V,P621S,and P1143 L,capacitating the virus with features of host cell entry,stability,replication,rapid transmissibility,and crucial immune evasion.Therefore,earlier immunity from either vaccination or prior infection may not protect against the current lineage and increases the possibility of future outbreaks.Thus,the periodical genomic surveillance of SARS-CoV-2 is essential for the genomic blueprint of the circulating virus,which may help in updating the vaccine strain and various basic research for developing appropriate therapeutics and diagnostics.展开更多
Genetic genealogy provides crucial insights into the complex biological relationships within contemporary and ancient human populations by analyzing shared alleles and chromosomal segments that are identical by descen...Genetic genealogy provides crucial insights into the complex biological relationships within contemporary and ancient human populations by analyzing shared alleles and chromosomal segments that are identical by descent to understand kinship,migration patterns,and population dynamics.Within forensic science,forensic investigative genetic genealogy(FIGG)has gained prominence by leveraging next-generation sequencing technologies and population-specific genomic resources,opening useful investigative avenues.In this review,we synthesize current knowledge,underscore recent advancements,and discuss the growing role of FIGG in forensic genomics.FIGG has been pivotal in revitalizing dormant inquiries and offering genetic leads in numerous cold cases.Its effectiveness relies on the extensive single-nucleotide polymorphism profiles contributed by individuals from diverse populations to specialized genomic databases.Advances in computational genomics and the growth of human genomic databases have spurred a profound shift in the application of genetic genealogy across forensics,anthropology,and ancient DNA studies.As the field progresses,FIGG is evolving from a nascent practice into a more sophisticated and specialized discipline,shaping the future of forensic investigations.展开更多
The yellow boxfish(Ostracion cubicus)exhibits a combination of derived morphological traits specialized for coral reef environments and ancestral characteristics,including a fused dermal plate.Contradictory evolutiona...The yellow boxfish(Ostracion cubicus)exhibits a combination of derived morphological traits specialized for coral reef environments and ancestral characteristics,including a fused dermal plate.Contradictory evolutionary evidence hinders true classification of O.cubicus.To clarify its evolutionary position within Tetraodontiformes,a chromosome-level genome assembly was generated,representing the most contiguous and complete genome to date for this lineage.Notably,O.cubicus possessed the largest genome within the order Tetraodontiformes,primarily due to extensive transposable element expansion.Phylogenetic analysis based on 19 whole genomes and 131 mitochondrial genomes resolved Tetraodontiformes into three major sister groups(Ostraciidae-Molidae,Tetraodontidae,and Balistidae-Monacanthidae).Comparative genomic evidence indicated that O.cubicus diverged early from the common ancestor of modern Tetraodontiformes and retained the highest number of HOX genes among surveyed taxa.Although overall genomic architecture was largely conserved,certain genetic and environmental changes may have contributed to its phenotypic adaptations,including climate cooling during the Miocene-Pliocene Transition,recent DNA and long interspersed nuclear element(LINE)transposon bursts,lineage-specific chromosomal rearrangements,and gene family expansion.Many positively selected genes and rapidly evolving genes were associated with skeletal development,including bmp7,egf7,and bmpr2.Transcriptomic comparisons between carapace and tail skin revealed various candidate genes and pathways related to carapace formation,such as postn,scpp1,and components of the TGF-βsignaling pathway.A derived amino acid substitution in eda,coupled with protein structural modeling,suggested potential molecular convergence in dermal plate formation among teleosts.These findings provide novel insights into the genomic and developmental basis of carapace evolution and coral reef-adaptation in O.cubicus,offering a strong case for evolutionary balance between genomic conservation with regulatory innovation to achieve coral reef specialization.展开更多
The plastid genome(plastome)represents an indispensable molecular resource for studying plant phylogeny and evolution.Although plastome size is much smaller than that of nuclear genomes,accurately and efficientlyannot...The plastid genome(plastome)represents an indispensable molecular resource for studying plant phylogeny and evolution.Although plastome size is much smaller than that of nuclear genomes,accurately and efficientlyannotating and utilizing plastome sequences remain challenging.Therefore,a streamlined phylogenomic pipeline spanning plastome annotation,phylogenetic reconstruction and comparative genomics would greatly facilitate research utilizing this important organellar genome.Here,we develop PlastidHub,a novel web application employing innovative tools to analyze plastome sequences.In comparison with existing tools,key novel functionalities in PlastidHub include:(1)standardization of quadripartite structure;(2)improvement of annotation flexibility and consistency;(3)quantitative assessment of annotation completeness;(4)diverse extraction modes for canonical and specialized sequences;(5)intelligent screening of molecular markers for biodiversity studies;(6)genelevel visual comparison of structural variations and annotation completeness.PlastidHub features cloud-based web applications that do not require users to install,update,or maintain tools;detailed help documents including user guides,test examples,a static pop-up prompt box,and dynamic pop-up warning prompts when entering unreasonable parameter values;batch processing capabilities for all tools;intermediate results for secondary use;and easy-to-operate task flows between fileupload and download.A key feature of PlastidHub is its interrelated task-based user interface design.Give that PlastidHub is easy to use without specialized computational skills or resources,this new platform should be widely used among botanists and evolutionary biologists,improving and expediting research employing the plastome.PlastidHub is available at https://www.plastidhub.cn.展开更多
Artificial intelligence(AI)is significantly advancing precision medicine,particularly in the fields of immunogenomics,radiomics,and pathomics.In immunogenomics,AI can process vast amounts of genomic and multi-omic dat...Artificial intelligence(AI)is significantly advancing precision medicine,particularly in the fields of immunogenomics,radiomics,and pathomics.In immunogenomics,AI can process vast amounts of genomic and multi-omic data to identify biomarkers associated with immunotherapy responses and disease prognosis,thus providing strong support for personalized treatments.In radiomics,AI can analyze high-dimensional features from computed tomography(CT),magnetic resonance imaging(MRI),and positron emission tomography/computed tomography(PET/CT)images to discover imaging biomarkers associated with tumor heterogeneity,treatment response,and disease progression,thereby enabling non-invasive,real-time assessments for personalized therapy.Pathomics leverages AI for deep analysis of digital pathology images,and can uncover subtle changes in tissue microenvironments,cellular characteristics,and morphological features,and offer unique insights into immunotherapy response prediction and biomarker discovery.These AI-driven technologies not only enhance the speed,accuracy,and robustness of biomarker discovery but also significantly improve the precision,personalization,and effectiveness of clinical treatments,and are driving a shift from empirical to precision medicine.Despite challenges such as data quality,model interpretability,integration of multi-modal data,and privacy protection,the ongoing advancements in AI,coupled with interdisciplinary collaboration,are poised to further enhance AI’s roles in biomarker discovery and immunotherapy response prediction.These improvements are expected to lead to more accurate,personalized treatment strategies and ultimately better patient outcomes,marking a significant step forward in the evolution of precision medicine.展开更多
基金supported by the Natural Science Foundation of Anhui Province(2408085MC058 and 2308085QC91)National Natural Science Foundation of China(32301783and U21A20214)+5 种基金Innovation Program of the Chinese Academy of Agricultural Sciences(CAAS CSIAF-202303)Nanfan special project,CAAS(YYLH2309,YBXM2322,YYLH2401)Scientific Innovation 2030 Project(2022ZD0401703)CAAS Innovative Team Award,Science and Technology of Innovative research program of Anhui Province(202423m1005002)National Key Research and Development Program of China(2023YFD1200900)the Natural Science Foundation General Program of Hebei Province(C2024204242).
文摘IR64 is an elite Xian/indica variety developed by International Rice Research Institute(IRRl)in 1985,which has been the most widely grown variety and core breeding parent in South/Southeast Asia(Mackill and Khush,2018).IR64 has been utilized to develop stress-tolerant(such as drought-adapted and submergenceresistant)near-isogenic lines,underscoring its great potential in agricultural genomics(Tanaka et al.,2020).
基金supported by the National Key Research and Development Program of China(2022YFF1003203)Biological Breeding-National Science and Technology Major Project(2022ZDo4011)+2 种基金the Central Public-interest Scientific Institution Basal Research Fund(Y2025YC44)the Central Public-interest Scientific Institution Basal Research Fund(2025-YWF-ZYSQ-04)the China Postdoctoral Science Foundation(2023M733832).
文摘The genetic basis of early-stage salt tolerance in alfalfa(Medicago sativa L.),a key factor limiting its productivity,remains poorly understood.To dissect this complex trait,we integrate genome-wide association studies(GWAS)and transcriptomics from 176 accessions within a machine learning based genomic prediction framework.Analysis reveals weak genetic correlations among four salt-tolerance traits and a gradual decline in performance under increasing salt stress.GWAS identify 60 significant associated SNPs,with the highest number detected under 100 mM salt stress.Salt tolerance exhibits an additive effect from favorable haplotypes,which are most abundant in Chinese accessions.GWAS-associated genes are related to key regulators of hormone signaling and osmotic adjustment,while transcriptome analysis indicates a global repression of stress-responsive transcription factors.Integrating these multi-omics datasets allows us to identify 14 candidate genes,including MsHSD1(seed dormancy)and MsMTATP6(energy metabolism).Crucially,incorporating these markers into genomic prediction models improve cross-population predictive accuracy to an average of 54.4%.This study provides insights into the genetic architecture of salt tolerance in alfalfa and offers valuable markers to facilitate molecular breeding.
基金supported by the National Natural Science Foundation of China(No.51974128)the National Key Research and Development Program of China(No.2023YFC3009105)。
文摘Early prevention and control of coal spontaneous combustion have emerged as a critical research area in coal mine safety.Due to their sustainability and environmental friendliness,microorganisms have gained attention.A filamentous fungus was collected in the coal mine and identified as Absidia spinosa.Results indicated that the mycelium effectively covered and repaired many coal pores.The oxygen consumption ratio of A.spinosa was higher in coal-containing environments than in coal-free conditions.The fungus significantly impacted aliphatic functional groups,disrupting bridging bonds and side chains connected to aromatic structures and reducing the relative content of C—O bonds.Additionally,A.spinosa increases the ignition temperature by 25.34℃.The total heat release was decreased by approximately 32.58%,and the activation energies were increased.The genome of Absidia spinosa revealed genes related to oxygen consumption,small molecule degradation,and secretion of metabolic products,such as those annotated under GO ID:0140657,etc.The pathways involved in the degradation of small organic molecules(e.g.,ko00626,etc.),carbon fixation,and nitrogen cycling,all linked to coal decomposition.Through oxygen consumption and the alteration of coal-active structures,A.spinosa effectively inhibits CSC,providing an experimental basis for exploring eco-friendly biological control methods in the goaf.
基金supported by the National Key Research and Development Plan of China(2021YFD2200202)the Key Research and Development Project of Jiangsu Province,China(BE2021366).
文摘Populus species,important economic species combining rapid growth with broad ecological adaptability,play a critical role in sustainable forestry and bioenergy production.In this study,we performed whole-genome resequencing of 707 individuals from a full-sib family to develop comprehensive single nucleotide polymorphism(SNP)markers and constructed a high-density genetic linkage map of 19 linkage groups.The total genetic length of the map reached 3623.65 cM with an average marker interval of 0.34 cM.By integrating multidimensional phenotypic data,89 quantitative trait loci(QTL)associated with growth,wood physical and chemical properties,disease resistance,and leaf morphology traits were identified,with logarithm of odds(LOD)scores ranging from 3.13 to 21.72 Notably,pleiotropic analysis revealed significant colocaliza and phenotypic variance explained between 1.7% and 11.6%.-tion hotspots on chromosomes LG1,LG5,LG6,LG8,and LG14,with epistatic interaction network analysis confirming genetic basis of coordinated regulation across multiple traits.Functional annotation of 207 candidate genes showed that R2R3-MYB and bHLH transcription factors and pyruvate kinase-encoding genes were significantly enriched,suggesting crucial roles in lignin biosynthesis and carbon metabolic pathways.Allelic effect analysis indicated that the frequency of favorable alleles associated with target traits ranged from 0.20 to 0.55.Incorporation of QTL-derived favorable alleles as random effects into Bayesian-based genomic selection models led to an increase in prediction accuracy ranging from 1% to 21%,with Bayesian ridge regression as the best predictive model.This study provides valuable genomic resources and genetic insights for deciphering complex trait architecture and advancing molecular breeding in poplar.
基金sponsored by the Inner Mongolia Natural Science Foundation(2025MS03134)National Natural Science Foundation of China(32372566)+3 种基金the Department of Agriculture and Rural Affairs of Zhejiang Province(2025ZDXT02-6)Sichuan rapeseed innovation team(SCCXTD-2024-3)Key Support Projects for Foreign Experts(D20240074)Collaborative Innovation Center for Modern Crop Production co-sponsored by Province and Ministry(CIC-MCP)。
文摘Modern oilseed breeding faces the complex challenge of simultaneously improving yield,nutritional quality,and stress resilience within a sustainable agricultural framework.A predictive,systems-oriented strategy offers a solution by using predictive modeling and precise genetic intervention to engineer target ideotypes.This review synthesizes the integration of genomic selection(GS),genome editing,and epigenetic regulation to operationalize a precision breeding strategy in major oilseed crops.We document how GS,utilizing high-density SNP arrays and sequencing data,has reduced breeding cycles by up to 50%in soybean,enabling rapid selection for complex traits like seed protein content.We highlight the precision of CRISPR-Cas systems in executing design goals,such as creating commercial-grade high-oleic soybeans(>80%oleic acid)by knocking out FAD2 genes.Similarly,editing glucosinolate biosynthesis genes in rapeseed has directly improved meal quality.Furthermore,we explore the emerging role of epigenetic regulation as a tunable layer in trait optimization,where DNA methylation patterns in sunflower are linked to drought stress memory and flowering time.Finally,we present an integrated molecular framework,which synergizes these technologies to develop ideotypes with optimized architectures and composition.Despite challenges in phenotyping and global regulation,the strategic implementation of this molecular toolkit is pioneering a new era of precision breeding for the sustainable intensification of oilseed production.
基金supported by USDA-SCRI(Grant Nos.2017-51181-26830 and 2023-51181-41321)USDA-AMS SCMP(Grant No.16SCCMAR0001)+1 种基金Arkansas Department of Agriculture SCBGP(Grant No.AM22SCBGPAR1130-00)USDA NIFA Hatch project ARK0VG2018 and ARK02440.
文摘The Leafminers,representing a diverse group of insects from various genera within the Agromyzidae family,pose a significant threat to spinach(Spinacia oleracea L.)production.This study aimed to identify single nucleotide polymorphism(SNP)markers associated with leafminer resistance through a genome-wide association study(GWAS)and to evaluate the prediction accuracy(PA)for selecting resistant spinach using genomic prediction(GP).Using a dataset of 84301 SNPs obtained from whole-genome resequencing,seven GWAS models,including BLINK,FarmCPU,MLM,and MLMM in GAPIT 3,as well as MLM,GLM,and SMR in TASSEL 5,were employed to perform GWAS on a panel of 286 USDA spinach germplasm accessions.Three SNP markers,namely 1_115279256_C_T,3_157082529_C_T,and 4_168510908_T_G on chromosomes 1,3,and 4,respectively,were identified as associated with leafminer resistance.In the 30 kb flanking regions of these markers,four candidate genes(SOV1g031330,SOV1g031340,SOV4g047270,and SOV4g047280),encoding LOB domain-containing protein,KH domain-containing protein,were discovered.Nodulin-like domain-containing protein,and SAM domain-containing protein,were discovered.The PA for leafminer resistance selection was estimated using ten different SNP sets,including two GWAS-derived marker sets(three and 51 SNPs)and eight random marker sets(ranging from 51 to 10 K SNPs)analyzed by seven GP models.The findings emphasized the superior performance of GWAS-derived SNP sets,reaching a PA of up to 0.79 using the cBLUP model.Notably,this research marks the pioneering application of GP in the context of insect resistance,providing a significant advancement in the understanding and management of leafminer resistance in spinach cultivation.
基金supported by the Biological Breeding-Major Projects in National Science and Technology(No.2023ZD0404405)the Earmarked Fund for China Agriculture Research System(No.CARS-pig-35)+2 种基金the National Natural Science Foundation of China(No.3227284,32302708)the 2115 Talent Development Program of China Agricultural University,the Chinese Universities Scientific Fund(No.2023TC196)the Seed Industry Revitalization Action Project of Guangdong Province(No.2024-XPY-06-001)。
文摘Background Multibreed genomic prediction(MBGP)is crucial for improving prediction accuracy for breeds with small populations,for which limited data are often available.Recent studies have demonstrated that partitioning the genome into nonoverlapping blocks to model heterogeneous genetic(co)variance in multitrait models can achieve higher joint prediction accuracy.However,the block partitioning method,a key factor influencing model performance,has not been extensively explored.Results We introduce mbBayesABLD,a novel Bayesian MBGP model that partitions each chromosome into nonoverlapping blocks on the basis of linkage disequilibrium(LD)patterns.In this model,marker effects within each block are assumed to follow normal distributions with block-specific parameters.We employ simulated data as well as empirical datasets from pigs and beans to assess genomic prediction accuracy across different models using cross-validation.The results demonstrate that mbBayesABLD significantly outperforms conventional MBGP models,such as GBLUP and BayesR.For the meat marbling score trait in pigs,compared with GBLUP,which does not account for heterogeneous genetic(co)variance,mbBayesABLD improves the prediction accuracy for the small-population breed Landrace by 15.6%.Furthermore,our findings indicate that a moderate level of similarity in LD patterns between breeds(with an average correlation of 0.6)is sufficient to improve the prediction accuracy of the target breed.Conclusions This study presents a novel LD block-based approach for multibreed genomic prediction.Our work provides a practical tool for livestock breeding programs and offers new insights into leveraging genetic diversity across breeds for improved genomic prediction.
基金the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(RS-2024-00344633)HYC acknowledges the financial support from the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(RS-2023-00211360)Biomaterials Specialized Graduate Program through the Korea Environmental Industry&Technology Institute(KEITI)funded by the Ministry of Environment(MOE).
文摘Genomic disorders affecting the central nervous system(CNS)are among the most complex and devastating conditions in human health.Moreover,these disorders,such as Rett syndrome,spinal muscular atrophy,and Fragile X syndrome,are typically caused by mutations in genes essential for neural development,synaptic function,or cellular homeostasis.Despite the genetic diversity involved,these diseases share key pathological features,including progressive neurodegeneration,disruption of neural circuits,and loss of cognitive or motor function.Meanwhile,one of the significant clinical challenges in treating CNS disorders is the limited regenerative capacity of the adult nervous system,which makes reversing disease progression extremely difficult once symptoms appear.In addition,the blood-brain barrier(BBB)restricts the passage of most systemically administered therapeutics,further complicating effective intervention.Consequently,current treatment options remain largely palliative,and effective cures remain elusive.
基金supported by the Priority Academic Program Development of Jiangsu Higher Education Institution(PAPD).
文摘Inoculation of starter culture is a viable method to improve the quality of fermented foods,but its effect on the flavor metabolite profiles and the underlying mechanisms are still unclear.This study aimed to elucidate the effects of starters(Lactiplantibacillus plantarum(LP)and Staphylococcus simulans(SS)individually or in combination(LS))on the flavor metabolite profiles of fermented sausages via metabolomics and genomics.L.plantarum markedly modified the composition of bacterial communities and made Lactobacillus spp.dominant in sausages(98.29%and 85.03%in LP and LS groups,respectively).Additionally,inoculation with a single starter,L.plantarum,and a mixed starter yielded similar non-volatile flavor metabolites,which were mainly characterized at the amino acid and peptide levels(relative intensities of 349.65 and 348.62 for the LP and LS groups,respectively).Meanwhile,the mixed starter group had the most volatile flavor metabolites(relative intensity of 34728.67),some of which were contributed by L.plantarum,such as ethyl acetate(relative intensities of 583.33 and 588.33 for the LP and LS groups,respectively)and benzaldehyde(relative intensities of 786.67 and 909.00 for the LP and LS groups,respectively),and several of which were generated by S.simulans,such as ethyl propionate(relative intensities of 214.67 and 136.67 for the SS and LS groups,respectively)and benzyl alcohol(relative intensities of 720.00 and 656.00 for the SS and LS groups,respectively).Furthermore,L.plantarum was found to possess more genes encoding peptidases(48)and carbohydrate-active enzymes(124),while S.simulans had more genes related to lipid hydrolysis(12).In conclusion,differences in the properties and combinations of indigenous strains play a crucial role in the generation of flavor metabolites in sausages.
基金funded by the National Natural Science Foundation of China(grant no.31670207).
文摘The genus Clematis(Ranunculaceae)comprises over 300 species with remarkable morphological and ecological diversity worldwide.Despite its horticultural,medicinal,and ecological importance,a well-resolved phylogeny and coherent infrageneric classification are still lacking.Here,we reconstruct a robust phylogeny for Clematis using a phylogenomic approach and revise its infrageneric taxonomy.We incorporated 198 samples representing 151 species,two subspecies,and 12 varieties,covering all subgenera and most sections worldwide,obtained from both fresh and herbarium material.Nuclear single nucleotide polymorphisms(SNPs)and complete plastid genomes were assembled for phylogenetic analyses.We also prepared a nuclear ribosomal ITS(nrITS)dataset comprising 171 species,two subspecies,and 12 varieties(217 samples)to include as many species as possible for phylogenetic inference.Phylogenies based on plastid genomes and nrITS exhibited limited resolution and modest support,highlighting challenges in resolving certain relationships.Nuclear SNP analyses yielded a robust phylogenetic tree with 22 well-supported clades corresponding to 22 sections,with most previously recognized subgenera and sections not recovered as monophyletic.Ancestral state reconstruction of 12 key morphological characters revealed multiple independent origins of character states.This study presents the first comprehensive sectional classification for Clematis based on robust phylogenomic evidence,redefines morphological characteristics for each section,and resolves long-standing taxonomic ambiguities.Our results establish a framework for future studies on the evolution,ecology,and horticultural potential of this globally significant genus.
基金supported by grants from the Agriculture Seed Improvement Projects of Shandong Province(Nos.2022LZGCQY010,2021ZLGX03,and 2021TSGC 1240)the China Agriculture Research System Project(No.CARS-49)。
文摘The Chamidae are widely distributed in the tropical to temperate seas,with>70 known species.Currently,their classification relies mainly on traditional morphological methods and identification primarily on small fragment genes,such as COI.The intrafamily phylogenetic relationships are ambiguous,lacking support from reliable molecular data.In this study,the mitochondrial genomes of eight species of Chamidae were sequenced for the first time and then annotated.Their structures and compositional characteristics were analyzed.The mitochondrial gene order in this family differed significantly.Concurrently,the evolutionary position and phylogenetic relationship among Chamidae species were explored,and the Veneroida phylogenetic tree was recreated.Maximum Likelihood and Bayesian Inference analyses supported the monophyly of Chamidae.Additionally,the divergence time within Chamidae was estimated based on mitochondrial DNA sequences,with the most ancient divergence estimated to occur during the early Cretaceous period,128 MYA.This phylogeny is significant for understanding the diversity and taxonomic status of Chamidae.
基金funded by the Shenzhen Science and Technology Program(Grant No.JCYJ20241202130723030)the National Natural Science Foundation of China(Grant No.32170238)+2 种基金the Guangdong Pearl River Talent Program(Grant No.2021QN02N792)the Shenzhen Fundamental Research Program(Grant No.JCYJ20220818103212025)the Chinese Academy of Agricultural Sciences Elite Youth Program(110243160001007)to Z.W.
文摘Deep relationships in the angiosperm tree of life remain highly controversial.To address this,we first assembled the complete mitochondrial genomes for Ceratophyllum demersum and Chloranthus sessilifolius,confirming a well-supported sister relationship that starkly conflicts with nuclear and plastid data.To dissect this classic cyto-nuclear conflict,we developed the‘PhyloForensics’framework,a novel diagnostic approach to systematically identify sources of phylogenetic instability.This framework revealed that signal heterogeneity(topological entropy variance)and information content(the proportion of informative sites)are the primary drivers of gene-tree conflict.Empirically validating this,we show that removing a small subset of“loudly conflicted”genes resolves deep-level incongruence,yielding a single,highly-supported topology previously obscured by noise.Finally,complementing this sequence-based resolution,we demonstrate that mitogenome architecture provides powerful phylogenetic signals,revealing predictable,mitogenome-wide evolutionary patterns,such as a significant negative correlation between branch length and both GC content and RNA editing sites.By integrating a validated conflict-resolution framework with architectural genomics,our study provides a comprehensive strategy for navigating the complexities of deep evolutionary histories.
基金supported by the National Natural Science Foundation of China(No.32160142)Guangxi Natural Science Foundation(No.2023GXNSFDA026034)+3 种基金State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources(SKLCUSAb202302)to H.W.,the National Natural Science Foundation of China(No.32460062)to Y.L.,and 1+9 Leading the Charge with Open Competition'project of Sichuan Academy of Agricultural Sciences(1+9KJGG010)Fruit tree breeding project in Sichuan Province(2021YFYZ0023)to H.X.
文摘Symbiotic nitrogen fixation in members of the Fabaceae family is highly efficient and beneficial for global agriculture,but not all species in this family form root nodules with rhizobial bacteria.Nodulation mainly occurs in plants belonging to the Papilionoideae and Caesalpinioideae subfamilies(Tederso0 et al.,2018;van Velzen et al.,2019).Nodulation mechanisms in Fabaceae are well studied(Yang et al.,2022),and genomic comparisons of nodulating and non-nodulating host species can provide valuable insights into the evolutionary and genetic basis of this key process.
文摘BACKGROUND The evolutionary mutational changes of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)since its emergence in Chhattisgarh,India in 2020 have warranted the need for the characterization of every lineage/sublineage that has evolved until February 2024.AIM To unravel the evolutionary pathway of SARS-CoV-2 in Chhattisgarh from 2020 to February 2024.METHODS A total of 635 coronavirus disease 2019 cases obtained between 2020 and February 2024 were investigated by whole genome sequencing.RESULTS Whole genome sequencing analysis identified the evolution of SARS-CoV-2 into seventeen lineages from 2020 to 2024.SARS-CoV-2 initially emerged in Chhattisgarh in its Alpha(B.1.1.7)variant in 2020.Thereafter,it continuously underwent periodical mutational changes in the spike gene to further differentiate into various lineages/sublineages,viz.,Kappa,Delta,BA.1,and BA.2 in 2021;the Omicron lineage(BA.5,BA.2.12.1,BA.2.75,BQ.1,and XBB)in 2022;the new Omicron lineage(XBB.1.5,XBB.1.16,XBB.1.9.1,and XBB.2.3)in 2023;and finally to JN.1 in January and February 2024.The predominant lineages over these 4 years were BA.1.1.7(Alpha)in 2020,B.1.617.2(Delta)in the period between 2021 and mid-2022,B.1.1.529(Omicron)in late 2022 to 2023,and Omicron-JN.1 in early 2024.The presently circulating JN.1 lineage was observed harboring exclusive predominant mutations of E4554K,A570V,P621A,and P1143 L with 99%CONCLUSION SARS-CoV-2 from 2020 to 2024 has evolved into 17 lineages/sublineages in Chhattisgarh.The presently circulating JN.1 harbored 40 mutations,especially E554K,A570V,P621S,and P1143 L,capacitating the virus with features of host cell entry,stability,replication,rapid transmissibility,and crucial immune evasion.Therefore,earlier immunity from either vaccination or prior infection may not protect against the current lineage and increases the possibility of future outbreaks.Thus,the periodical genomic surveillance of SARS-CoV-2 is essential for the genomic blueprint of the circulating virus,which may help in updating the vaccine strain and various basic research for developing appropriate therapeutics and diagnostics.
基金supported by the National Natural Science Foundation of China(82202078)the Major Project of the National Social Science Foundation of China(23&ZD203)+3 种基金the Open Project of the Key Laboratory of Forensic Genetics of the Ministry of Public Security(2022FGKFKT05)the Center for Archaeological Science of Sichuan University(23SASA01)the 1‧3‧5 Project for Disciplines of Excellence,West China Hospital,Sichuan University(ZYJC20002)the Sichuan Science and Technology Program(2024NSFSC1518).
文摘Genetic genealogy provides crucial insights into the complex biological relationships within contemporary and ancient human populations by analyzing shared alleles and chromosomal segments that are identical by descent to understand kinship,migration patterns,and population dynamics.Within forensic science,forensic investigative genetic genealogy(FIGG)has gained prominence by leveraging next-generation sequencing technologies and population-specific genomic resources,opening useful investigative avenues.In this review,we synthesize current knowledge,underscore recent advancements,and discuss the growing role of FIGG in forensic genomics.FIGG has been pivotal in revitalizing dormant inquiries and offering genetic leads in numerous cold cases.Its effectiveness relies on the extensive single-nucleotide polymorphism profiles contributed by individuals from diverse populations to specialized genomic databases.Advances in computational genomics and the growth of human genomic databases have spurred a profound shift in the application of genetic genealogy across forensics,anthropology,and ancient DNA studies.As the field progresses,FIGG is evolving from a nascent practice into a more sophisticated and specialized discipline,shaping the future of forensic investigations.
基金supported by the Basic and Applied Basic Research Foundation of Guangdong Province(2020A1515110882)National Science Fund for Distinguished Young Scholars(32225049)。
文摘The yellow boxfish(Ostracion cubicus)exhibits a combination of derived morphological traits specialized for coral reef environments and ancestral characteristics,including a fused dermal plate.Contradictory evolutionary evidence hinders true classification of O.cubicus.To clarify its evolutionary position within Tetraodontiformes,a chromosome-level genome assembly was generated,representing the most contiguous and complete genome to date for this lineage.Notably,O.cubicus possessed the largest genome within the order Tetraodontiformes,primarily due to extensive transposable element expansion.Phylogenetic analysis based on 19 whole genomes and 131 mitochondrial genomes resolved Tetraodontiformes into three major sister groups(Ostraciidae-Molidae,Tetraodontidae,and Balistidae-Monacanthidae).Comparative genomic evidence indicated that O.cubicus diverged early from the common ancestor of modern Tetraodontiformes and retained the highest number of HOX genes among surveyed taxa.Although overall genomic architecture was largely conserved,certain genetic and environmental changes may have contributed to its phenotypic adaptations,including climate cooling during the Miocene-Pliocene Transition,recent DNA and long interspersed nuclear element(LINE)transposon bursts,lineage-specific chromosomal rearrangements,and gene family expansion.Many positively selected genes and rapidly evolving genes were associated with skeletal development,including bmp7,egf7,and bmpr2.Transcriptomic comparisons between carapace and tail skin revealed various candidate genes and pathways related to carapace formation,such as postn,scpp1,and components of the TGF-βsignaling pathway.A derived amino acid substitution in eda,coupled with protein structural modeling,suggested potential molecular convergence in dermal plate formation among teleosts.These findings provide novel insights into the genomic and developmental basis of carapace evolution and coral reef-adaptation in O.cubicus,offering a strong case for evolutionary balance between genomic conservation with regulatory innovation to achieve coral reef specialization.
基金the Natural Science Foundation of Shandong Province(ZR2020QC022)the Science and Technology Basic Resources Investigation Program of China(No.2019FY100900)+2 种基金the Major Program for Basic Research Project of Yunnan Province(202401BC070001)Yunnan Revitalization Talent Support Program:Yunling Scholar Project to Tingshuang Yithe open research project of“Cross Cooperative Team”of the Germplasm Bank of Wild Species,Kunming Institute of Botany,Chinese Academy of Sciences.
文摘The plastid genome(plastome)represents an indispensable molecular resource for studying plant phylogeny and evolution.Although plastome size is much smaller than that of nuclear genomes,accurately and efficientlyannotating and utilizing plastome sequences remain challenging.Therefore,a streamlined phylogenomic pipeline spanning plastome annotation,phylogenetic reconstruction and comparative genomics would greatly facilitate research utilizing this important organellar genome.Here,we develop PlastidHub,a novel web application employing innovative tools to analyze plastome sequences.In comparison with existing tools,key novel functionalities in PlastidHub include:(1)standardization of quadripartite structure;(2)improvement of annotation flexibility and consistency;(3)quantitative assessment of annotation completeness;(4)diverse extraction modes for canonical and specialized sequences;(5)intelligent screening of molecular markers for biodiversity studies;(6)genelevel visual comparison of structural variations and annotation completeness.PlastidHub features cloud-based web applications that do not require users to install,update,or maintain tools;detailed help documents including user guides,test examples,a static pop-up prompt box,and dynamic pop-up warning prompts when entering unreasonable parameter values;batch processing capabilities for all tools;intermediate results for secondary use;and easy-to-operate task flows between fileupload and download.A key feature of PlastidHub is its interrelated task-based user interface design.Give that PlastidHub is easy to use without specialized computational skills or resources,this new platform should be widely used among botanists and evolutionary biologists,improving and expediting research employing the plastome.PlastidHub is available at https://www.plastidhub.cn.
基金supported by grants from the National Natural Science Foundation of China(Grant No.82272008)The Science&Technology Development Fund of Tianjin Education Commission for Higher Education(Grant No.2021KJ194)Tianjin Key Medical Discipline(Specialty)Construction Project(Grant No.TJYXZDXK-009A).
文摘Artificial intelligence(AI)is significantly advancing precision medicine,particularly in the fields of immunogenomics,radiomics,and pathomics.In immunogenomics,AI can process vast amounts of genomic and multi-omic data to identify biomarkers associated with immunotherapy responses and disease prognosis,thus providing strong support for personalized treatments.In radiomics,AI can analyze high-dimensional features from computed tomography(CT),magnetic resonance imaging(MRI),and positron emission tomography/computed tomography(PET/CT)images to discover imaging biomarkers associated with tumor heterogeneity,treatment response,and disease progression,thereby enabling non-invasive,real-time assessments for personalized therapy.Pathomics leverages AI for deep analysis of digital pathology images,and can uncover subtle changes in tissue microenvironments,cellular characteristics,and morphological features,and offer unique insights into immunotherapy response prediction and biomarker discovery.These AI-driven technologies not only enhance the speed,accuracy,and robustness of biomarker discovery but also significantly improve the precision,personalization,and effectiveness of clinical treatments,and are driving a shift from empirical to precision medicine.Despite challenges such as data quality,model interpretability,integration of multi-modal data,and privacy protection,the ongoing advancements in AI,coupled with interdisciplinary collaboration,are poised to further enhance AI’s roles in biomarker discovery and immunotherapy response prediction.These improvements are expected to lead to more accurate,personalized treatment strategies and ultimately better patient outcomes,marking a significant step forward in the evolution of precision medicine.
