Sesame(Sesamum indicum L.)is an ancient diploid oilseed crop valued for its high oil content,quality protein,unsaturated fatty acids,and antioxidants.The emerging research focuses on the utilization of vegetable prote...Sesame(Sesamum indicum L.)is an ancient diploid oilseed crop valued for its high oil content,quality protein,unsaturated fatty acids,and antioxidants.The emerging research focuses on the utilization of vegetable proteins in the development of novel products and the formulation of functional foods.Developing sesame genotypes with higher protein and oil content is a current focus for improving sesame quality traits,as preferred by the sesame seed oil industry and consumers.Despite previous genome-wide association studies(GWAS)on various agronomic and biochemical traits in sesame,the genetic basis of protein content and oil content remains limited.Therefore,this study was designed to identify candidate genes and quantitative trait loci(QTLs)regulating the target traits using 401 sesame accessions grown in three environments(2018WH,2018LQ,and 2022WH).The protein and oil content in the sesame population varied significantly.The protein content ranged from 15.06%to 26.45%,while the oil content was between 41.68%and 60.15%.Furthermore,the white seeds had a higher oil content,while the black seeds had a higher protein content,indicating an association between seed colour and oil and protein content.GWAS results revealed that 632 and 269 QTLs were selected as significant genetic regions for protein and oil content,respectively.Of these significant QTLs,we identified 10 and 22 stable QTLs for protein and oil content,respectively.A total of 17 candidate genes related to protein and oil content were identified within 32 stable quantitative trait loci(QTLs).Interestingly,two variant sites,SNP13:10093594 and In Del13:10935497,related to protein content,were identified in the gene sequences of SINPZ1300586 and SINPZ1300694.Four SNPs,SNP1:22608987,SNP4:13355820,SNP8:21686488,and SNP11:142842,for oil content were found correspond to the genes SINPZ0102106,SINPZ0401222,SINPZ0801731,and SINPZ1100015,respectively.The findings provide light on the genetic basis of protein and oil characteristics.These genes and QTLs can aid the molecular breeding and genetic engineering of innovative sesame germplasm,with improved potential for protein and oil content,as well as desired quality attributes.展开更多
Since the 1975 M_(S)7.3 Haicheng earthquake,spatio-temporal variations in the gravity field have attracted much attention as potential earthquake precursors.Recent technical advances in terrestrial gravity observation...Since the 1975 M_(S)7.3 Haicheng earthquake,spatio-temporal variations in the gravity field have attracted much attention as potential earthquake precursors.Recent technical advances in terrestrial gravity observation,along with the construction of a high-precision mobile gravity network covering Chinese mainland,have positioned temporal gravity variations(GVs)as an important tool for clarifying the signal characteristics and dynamic mechanisms of crustal sources.Reportedly,crustal mass transfer,which is affected by stress state and structural environment,alters the characteristics of the regional gravity field,thus serving as an indicator for locations of moderate to strong earthquakes and a seismology-independent predictor for regions at risk for strong earthquakes.Therefore,quantitatively tracking time-varying gravity is of paramount importance to enhance the effectiveness of earthquake prediction.In this study,we divided the areas effectively covered by the terrestrial mobile gravity network in the Sichuan-Yunnan region into small grids based on the latest observational data(since 2018)from the network.Next,we calculated the 1-and 3-year GVs and gravity gradient indicators(amplitude of analytic signal,AAS;total horizontal derivative,THD;and amplitude of vertical gradient,AVG)to quantitatively characterize variations in regional time-varying gravity field.Next,we assessed the effectiveness of gravity field variations in predicting earthquakes in the Sichuan-Yunnan region using Molchan diagrams constructed for gravity signals of 13 earthquakes(M≥5.0;occurred between 2021 and 2024)within the terrestrial mobile gravity network.The results reveal a certain correspondence between gravity field variations and the locations of moderate and strong earthquakes in the Sichuan-Yunnan region.Furthermore,the 3-year AAS and AVG outperform the 3-year THD in predicting subsequent seismic events.Notably,the AAS and AVG showed large probability gains prior to the M_(S)6.8 Luding earthquake,indicating their potential for earthquake prediction.展开更多
Sesame is a multi-purpose high-value oilseed crop,which can beused in the food,feed,and cosmetics applica-tions.The low yield of sesame is due to the lack of high-yielding and locally adapted varieties,which have the ...Sesame is a multi-purpose high-value oilseed crop,which can beused in the food,feed,and cosmetics applica-tions.The low yield of sesame is due to the lack of high-yielding and locally adapted varieties,which have the susceptibility to capsule shattering and biotic and abiotic stresses.The breeding gains in sesame are low and stagnant compared to other oilseed crops such as canola,groundnut and sunflower.Breeding for enhanced yieldrelated,oil quantity and quality,biotic and abiotic stresses tolerant varieties is vital to the adaptation of the climate change.Several genes and quantitative trait loci(QTLs)related to yield-related,oil quantity and quality,biotic and abiotic stresses tolerant have been identified through modern plant breeding tools in sesame.The depth understanding of the genetic basis,molecular mechanisms and regulatory genes involved in yield-related,oil quantity and quality,biotic and abiotic stresses tolerant in sesame is important for the improvement of sesame breeding programs.This article reviews and documents these achievements will provide fundamental data and references for practical applications of sesam research.展开更多
Sesame is an important oilseed crop in Africa and Asia, owing to its high nutritional quality seed and market value. Variation in sesame seed components including oil, oleic acid,linoleic acid, and protein was investi...Sesame is an important oilseed crop in Africa and Asia, owing to its high nutritional quality seed and market value. Variation in sesame seed components including oil, oleic acid,linoleic acid, and protein was investigated by near-infrared reflectance spectrometry in 139 samples collected from different countries. Oil and protein contents were between 40.8%and 60.3%(mean 53.0%) and 15.5% to 25.5%(mean 20.4%), respectively. Linoleic acid,ranging from 31.8% to 52.4%(mean 46%) was more abundant than oleic acid(31.8%–50.6%,mean 38.1%). Light-seeded samples displayed higher nutritional quality, as they were richer in oil, protein, and linoleic acid than dark seeds. Samples from Africa had higher oil and linoleic acid contents, while Asian samples had higher oleic content. The analysis revealed West African sesame cultivars containing especially high levels of seed components, which may command high market values. Two clusters of sesame samples grouped by seed composition were obtained, including one cluster with high oil and oleic acid content and the other with high protein and linoleic acid content. This study revealed that sesame samples from Africa and Asia harbor high variation for major seed components and also provided background information for breeding high-nutrition varieties according to the demands of sesame seed markets.展开更多
Trehalose and its precursor,trehalose-6-phosphate,play critical roles in plant metabolism and response to abiotic stresses.Trehalose-6-phosphate synthase(TPS)is a key enzyme in the trehalose synthesis pathway.Hence th...Trehalose and its precursor,trehalose-6-phosphate,play critical roles in plant metabolism and response to abiotic stresses.Trehalose-6-phosphate synthase(TPS)is a key enzyme in the trehalose synthesis pathway.Hence this study identified TPS genes in sesame(SiTPSs)and examined their expression patterns under various abiotic stresses.Totally,ten SiTPSs were identified and comprehensively characterized.SiTPSs were found to be unevenly distributed on five out of 13 sesame chromosomes and were predicted to be localized in chloroplasts and vacuoles of cells.Phylogenetic analysis classified SiTPS proteins into two groups(I and II),which was supported by gene structure and conserved motif analyses.Analysis of cis-acting elements in promoter regions of SiTPSs revealed that they might primarily involve developmental and environmental responses.SiTPSs exhibited different expression patterns in different tissues and under different abiotic stresses.Most group II SiTPS genes(SiTPS4-SiTPS10)were strongly induced by drought,salt,waterlogging,and osmotic stress.Particularly,SiTPS10 was the most significantly up-regulated under various abiotic stresses,indicating it is a candidate gene for improving sesame tolerance to multiple abiotic stresses.Our results provide insight into the TPS gene family in sesame and fundamental resources for genomics studies towards dissecting SiTPS genes’functions.展开更多
Gravity field is the most basic physical field generated by the material properties of the Earth system.It reflects the spatial distribution,movement and change of materials determined by the interaction and dynamic p...Gravity field is the most basic physical field generated by the material properties of the Earth system.It reflects the spatial distribution,movement and change of materials determined by the interaction and dynamic process inside the Earth.Over the years,a variety of technical means have been used to detect the Earth’s gravity field and supported numerous studies on the global change,resource detection,geological structure movement,water resources change and other related fields of research.Here is part of the progress in surface and marine gravimetry obtained by Chinese geodesy scientists from 2019 to 2023 from the following aspects,including:①Continuous gravity network in Chinese mainland;②Application of superconducting gravity measurement;③Network adjustment for continental-scale gravity survey campaign and data quality control;④Regional time-variable gravity field and its application;⑤Research progress on novel technologies for gravity inversion;⑥Research progress on marine gravity field determination;⑦Application research on marine gravity field.展开更多
High-precision time-varying gravity field is an effective way to study the internal mass movement and understanding the spatio-temporal evolution process of the geodynamic system.Compared to the satellite gravity meas...High-precision time-varying gravity field is an effective way to study the internal mass movement and understanding the spatio-temporal evolution process of the geodynamic system.Compared to the satellite gravity measurement,the repeated terrestrial gravity observation can provide a more high-order signal related to the shallow crust and subsurface.However,the suitable and unified method for gravity model estimation is a key problem for further applications.In this study,we introduce the spherical hexahedron element to simulate the field source mass and forward model the change of gravity field located at the Sichuan-Yunnan region(99—104°E,23—29°N)in the four epochs from 2015 to 2017.Compared to the experimental results based on Slepian or spherical harmonics frequency domain method,this alternative approach is suitable for constructing the equivalent mass source model of regional-scale gravity data,by introducing the first-order smooth prior condition of gravity time-varying signal to suppress the high-frequency component of the signal.The results can provide a higher spatial resolution reference for regional gravity field modeling in the Sichuan-Yunnan region.展开更多
In order to efficiently screen drought resistant varieties from a large scale of sesame germplasm, key traits were identified in this study. Six varieties with different drought resistance levels were submitted to a r...In order to efficiently screen drought resistant varieties from a large scale of sesame germplasm, key traits were identified in this study. Six varieties with different drought resistance levels were submitted to a repeated drought stress experiment followed by rehydration phases at seedling stage. Results revealed that ‘ZZM5396', ‘ZZM1446' and‘ZZM0635' showed highest drought resistance features by phenotypic, physiological and biochemical detection. Peroxidase(POD) and catalase(CAT) activities, photosynthetic rate(Photo), root and stem dry matters are indices for drought resistance screening in sesame.Our results from seedling stage were consistent with that from germination stage, despite the fact that ‘ZZM1446' appeared to be superior under drought at seedling stage. The identified genotypes may be useful for breeding towards drought resistance and relevant molecular analysis in sesame.展开更多
An improved fuzzy time series algorithmbased on clustering is designed in this paper.The algorithm is successfully applied to short-term load forecasting in the distribution stations.Firstly,the K-means clustering met...An improved fuzzy time series algorithmbased on clustering is designed in this paper.The algorithm is successfully applied to short-term load forecasting in the distribution stations.Firstly,the K-means clustering method is used to cluster the data,and the midpoint of two adjacent clustering centers is taken as the dividing point of domain division.On this basis,the data is fuzzed to form a fuzzy time series.Secondly,a high-order fuzzy relation with multiple antecedents is established according to the main measurement indexes of power load,which is used to predict the short-term trend change of load in the distribution stations.Matlab/Simulink simulation results show that the load forecasting errors of the typical fuzzy time series on the time scale of one day and one week are[−50,20]and[−50,30],while the load forecasting errors of the improved fuzzy time series on the time scale of one day and one week are[−20,15]and[−20,25].It shows that the fuzzy time series algorithm improved by clustering improves the prediction accuracy and can effectively predict the short-term load trend of distribution stations.展开更多
The objective of this study was to determine the differences of aroma and taste in three black sesame originsbefore and after processing via flavor and widely metabolomics.By analyzing the sensory characteristics and ...The objective of this study was to determine the differences of aroma and taste in three black sesame originsbefore and after processing via flavor and widely metabolomics.By analyzing the sensory characteristics and metabolites of raw and treated black sesame from China,Vietnam,and Myanmar,treated Chinese sesame have the most significant change in hardness after thermal processing,low viscosity and was easy to chew.The electronic nose could distinguish between raw and treated sesame due to the aroma distribution.The reason of treated sesame from China was“fragrant”is due to the highest content(2545.50μg/kg)of total pyrazines including 2,5-dimethylpyrazine,2-ethyl-5-methylpyrazine,2,3,5-trimethylpyrazine,3-ethyl-2,5-dimethylpyrazine.933 metabolites were detected via a wide targeted metabolomics in the taste of raw and treated sesame.Based on the analysis of metabolites related to bitterness,145 substances were selected.The main bitter contributors may be amino acids,dipeptides and organic acids.展开更多
Sesame(Sesamum indicum L.) plays a crucial role in Ethiopian agriculture,serving both subsistence and commercial purposes.However,our understanding of the extensive genetic diversity and population structure of Ethiop...Sesame(Sesamum indicum L.) plays a crucial role in Ethiopian agriculture,serving both subsistence and commercial purposes.However,our understanding of the extensive genetic diversity and population structure of Ethiopian sesame remains limited.To address this knowledge gap,we genotyped 368 Ethiopian sesame germplasms,categorizing into four distinct breeding groups:Accessions,landraces,improved varieties,and wild types,using a comprehensive set of 28 polymorphic markers,including 23 simple sequence repeat(SSR) and five Insertion-Deletion(InDel) markers.These markers ensured robust genomic representation,with at least two markers per linkage group.Our results unveiled substantial genetic diversity,identifying a total of 535 alleles across all accessions.On average,each locus displayed 8.83 alleles,with observed and expected heterozygosity values of 0.30 and 0.36,respectively.Gene Diversity and Polymorphic Information Content(PIC) were recorded at 0.37 and 0.35.The percentage of polymorphic loci varied significantly among breeding groups,ranging from8.00% to 82.40%,indicating high diversity in accessions(82.4%),moderate diversity in improved varieties(31.20%) and landraces(29.60%),and limited diversity in wild types(8.00).Analysis of Molecular Variance(AMOVA) results emphasized significant genetic differentiation among populations,with substantial diversity(P<0.001) within each population.Approximately 8% of the entire genetic diversity could be attributed to distinctions among populations,while the larger proportion of genetic diversity(92%) resided within each individual sesame population,showcasing heightened diversity within each group.Our study’s findings received support from both Bayesian clustering and Neighbor-joining(NJ) analysis,reaffirming the credibility of our genetic structure insights.Notably,Population structure analysis at its highest Δk value(k=2) revealed the existence of two primary genetic clusters,further subdivided into four sub-populations at k=4.Similarly,NJ analysis identified two prominent clusters,each displaying additional sub-clustering.In conclusion,our research provides a comprehensive understanding of genetic groups,subpopulations,and overall diversity within Ethiopian sesame populations.These findings underscore the significant genetic diversity and population structure within Ethiopian sesame germplasm collections.This genetic richness holds promise for breeding and conservation efforts,highlighting the importance of preserving genetic diversity to ensure adaptation to changing environments and meet the needs of farmers and consumers.展开更多
The next - generation sequencing platform has revealed the genomic sequences of numer-ous plant species that are ideal resources for simple sequence repeat （SSR） locus screening. In this stud-y, we performed a ...The next - generation sequencing platform has revealed the genomic sequences of numer-ous plant species that are ideal resources for simple sequence repeat （SSR） locus screening. In this stud-y, we performed a comparative genomic SSR analysis on 9 sequenced plants. This showed that the total numbers of mono-, di-, tri-, tetra-, penta-, and hexa-nucleotide repeat SSRs and compound SSRs ranged from 45,552 to 326,319, and the frequencies varied from 177.9 to 573.7 with an average of 401. 3 per Mb. The SSR numbers decreased as the size of the repeat unit increased. The mono-and di-nucleotide SSRs and compound SSRs accounted for more than 78% of the total SSRs in these plants. A/T-rich re-peat motifs were generally dominant in most plants. The sizes of different SSRs varied from 10 to 7288 bp, but at least 85% of them were less than 45 bp. The polymorphism rates of different SSR types ranged from 1.5% to 14.4% in Sesamum indicum, and the mono- and di-nucleotide SSRs displayed the highest polymorphism, followed by the compound SSRs （11.2% ） . These results provide comprehensive insight into the SSR loci of plants and serve as an experimental reference for improvement of SSR marker devel-opment based on plant genomic sequences.展开更多
The main objective of this study was to evaluate the potential of a sesame （Sesamum indicum L.） panel for association analysis, and investigate the genetic basis of oil content （OC）, protein content, oleic acid co...The main objective of this study was to evaluate the potential of a sesame （Sesamum indicum L.） panel for association analysis, and investigate the genetic basis of oil content （OC）, protein content, oleic acid concentration, and linoleic acid concentration using association mapping. A panel of 216 sesame accessions was phenotyped in a multi-environment trial and fingerprinted with 608 polymorphic loci produced by 79 primers, including simple sequence repeats （SSRs）, sequence-related amplified polymorphisms （SRAPs）, and amplified fragment length polymorphisms （AFLPs）. Population structure analysis revealed two subgroups in the population. The Q model performed better for its ability to re-identify associations for the four traits at highly significant P-values compared to the other three mixed models. And a total of 35 and 25 associations for the four traits in 2010 and 2011 were identified, respectively, with the Q model after Bonferroni correction. Among those associations, only one for OC was re-identified in two environments, and several markers associated simultaneously with multiple traits were discovered. These results suggest the power and stability of the Q model for association analysis of nutritional traits in this sesame panel for its slight population stratification and familial relationship, which could aid in dissecting complex traits, and could help to develop strategies for improving nutritional quality.展开更多
基金funded by the National Key Research and Development Program of China(2024YFD1600100)the Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences(CAAS-ASTIP-2021-OCRI)+3 种基金China Agriculture Research System(CARS-14)Hubei International Science and Technology Cooperation Project(2024EHA055)Science and Technology Innovation Project of Hubei province(2024-620-000-001-031)Fundamental Research Funds for Central Non-profit Scientific Institution(1610172023003)。
文摘Sesame(Sesamum indicum L.)is an ancient diploid oilseed crop valued for its high oil content,quality protein,unsaturated fatty acids,and antioxidants.The emerging research focuses on the utilization of vegetable proteins in the development of novel products and the formulation of functional foods.Developing sesame genotypes with higher protein and oil content is a current focus for improving sesame quality traits,as preferred by the sesame seed oil industry and consumers.Despite previous genome-wide association studies(GWAS)on various agronomic and biochemical traits in sesame,the genetic basis of protein content and oil content remains limited.Therefore,this study was designed to identify candidate genes and quantitative trait loci(QTLs)regulating the target traits using 401 sesame accessions grown in three environments(2018WH,2018LQ,and 2022WH).The protein and oil content in the sesame population varied significantly.The protein content ranged from 15.06%to 26.45%,while the oil content was between 41.68%and 60.15%.Furthermore,the white seeds had a higher oil content,while the black seeds had a higher protein content,indicating an association between seed colour and oil and protein content.GWAS results revealed that 632 and 269 QTLs were selected as significant genetic regions for protein and oil content,respectively.Of these significant QTLs,we identified 10 and 22 stable QTLs for protein and oil content,respectively.A total of 17 candidate genes related to protein and oil content were identified within 32 stable quantitative trait loci(QTLs).Interestingly,two variant sites,SNP13:10093594 and In Del13:10935497,related to protein content,were identified in the gene sequences of SINPZ1300586 and SINPZ1300694.Four SNPs,SNP1:22608987,SNP4:13355820,SNP8:21686488,and SNP11:142842,for oil content were found correspond to the genes SINPZ0102106,SINPZ0401222,SINPZ0801731,and SINPZ1100015,respectively.The findings provide light on the genetic basis of protein and oil characteristics.These genes and QTLs can aid the molecular breeding and genetic engineering of innovative sesame germplasm,with improved potential for protein and oil content,as well as desired quality attributes.
基金funded by the National Key R&D Program of China(Nos.2023YFE0101800 and 2023YFC 3007305)National Natural Science Foundation of China(Nos.42004069 and 42204093)Special Fund of the Institute of Geophysics,China Earthquake Administration(No.DQJB24X24).
文摘Since the 1975 M_(S)7.3 Haicheng earthquake,spatio-temporal variations in the gravity field have attracted much attention as potential earthquake precursors.Recent technical advances in terrestrial gravity observation,along with the construction of a high-precision mobile gravity network covering Chinese mainland,have positioned temporal gravity variations(GVs)as an important tool for clarifying the signal characteristics and dynamic mechanisms of crustal sources.Reportedly,crustal mass transfer,which is affected by stress state and structural environment,alters the characteristics of the regional gravity field,thus serving as an indicator for locations of moderate to strong earthquakes and a seismology-independent predictor for regions at risk for strong earthquakes.Therefore,quantitatively tracking time-varying gravity is of paramount importance to enhance the effectiveness of earthquake prediction.In this study,we divided the areas effectively covered by the terrestrial mobile gravity network in the Sichuan-Yunnan region into small grids based on the latest observational data(since 2018)from the network.Next,we calculated the 1-and 3-year GVs and gravity gradient indicators(amplitude of analytic signal,AAS;total horizontal derivative,THD;and amplitude of vertical gradient,AVG)to quantitatively characterize variations in regional time-varying gravity field.Next,we assessed the effectiveness of gravity field variations in predicting earthquakes in the Sichuan-Yunnan region using Molchan diagrams constructed for gravity signals of 13 earthquakes(M≥5.0;occurred between 2021 and 2024)within the terrestrial mobile gravity network.The results reveal a certain correspondence between gravity field variations and the locations of moderate and strong earthquakes in the Sichuan-Yunnan region.Furthermore,the 3-year AAS and AVG outperform the 3-year THD in predicting subsequent seismic events.Notably,the AAS and AVG showed large probability gains prior to the M_(S)6.8 Luding earthquake,indicating their potential for earthquake prediction.
基金supported by the National Key Research and Devel-opment Program of China(2024YFD1600100)the Talented Young Scientist Program(TYSP)+5 种基金the Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences(CAAS-ASTIP-2024-OCRI)China Agriculture Research System(CARS-14)Hubei International Science and Technology Cooperation Project(2022EHB034,2024EHA055)Science and Technology Innovation Project of Hubei province(2024-620-000-001-031)Fundamental Research Funds for Central Non-profit Scientific Institution(1610172023003)the National Center for Crops Germplasm Re-sources(NCCGR-2024-016).
文摘Sesame is a multi-purpose high-value oilseed crop,which can beused in the food,feed,and cosmetics applica-tions.The low yield of sesame is due to the lack of high-yielding and locally adapted varieties,which have the susceptibility to capsule shattering and biotic and abiotic stresses.The breeding gains in sesame are low and stagnant compared to other oilseed crops such as canola,groundnut and sunflower.Breeding for enhanced yieldrelated,oil quantity and quality,biotic and abiotic stresses tolerant varieties is vital to the adaptation of the climate change.Several genes and quantitative trait loci(QTLs)related to yield-related,oil quantity and quality,biotic and abiotic stresses tolerant have been identified through modern plant breeding tools in sesame.The depth understanding of the genetic basis,molecular mechanisms and regulatory genes involved in yield-related,oil quantity and quality,biotic and abiotic stresses tolerant in sesame is important for the improvement of sesame breeding programs.This article reviews and documents these achievements will provide fundamental data and references for practical applications of sesam research.
基金financially supported by the National Key Technology R&D Program of China (during the 12th Five-Year Plan Period) (2013BAD01B03-08)Agricultural Science and Technology Innovation Project of Chinese Academy of Agricultural Sciences (CAAS-ASTIP-2013-OCRI)+3 种基金the African-German Network of Excellence in Science (AGNES) for granting a Mobility Grant in 2016sponsored by German Federal Ministry of Education and Researchsupported by the Alexander von Humboldt Foundationthe Chinese Scholarship Council (2015GXY934) for a fellowship
文摘Sesame is an important oilseed crop in Africa and Asia, owing to its high nutritional quality seed and market value. Variation in sesame seed components including oil, oleic acid,linoleic acid, and protein was investigated by near-infrared reflectance spectrometry in 139 samples collected from different countries. Oil and protein contents were between 40.8%and 60.3%(mean 53.0%) and 15.5% to 25.5%(mean 20.4%), respectively. Linoleic acid,ranging from 31.8% to 52.4%(mean 46%) was more abundant than oleic acid(31.8%–50.6%,mean 38.1%). Light-seeded samples displayed higher nutritional quality, as they were richer in oil, protein, and linoleic acid than dark seeds. Samples from Africa had higher oil and linoleic acid contents, while Asian samples had higher oleic content. The analysis revealed West African sesame cultivars containing especially high levels of seed components, which may command high market values. Two clusters of sesame samples grouped by seed composition were obtained, including one cluster with high oil and oleic acid content and the other with high protein and linoleic acid content. This study revealed that sesame samples from Africa and Asia harbor high variation for major seed components and also provided background information for breeding high-nutrition varieties according to the demands of sesame seed markets.
基金funded by the Agricultural Science and Technology Innovation Project of the Chinese Academy of Agricultural Sciences(CAAS-ASTIP-2021-OCRI)the Key Research Projects of Hubei province(2020BBA045,2020BHB028)+1 种基金the Fundamental Research Funds for Central Non-profit Scientific Institution(Y2022XK11).the Open Project of Key Laboratory of Biology and Genetic Improvement of Oil Crops,Ministry of Agriculture and Rural Affairs,P.R.China.(KF2022002)China Agriculture Research System(CARS-14).
文摘Trehalose and its precursor,trehalose-6-phosphate,play critical roles in plant metabolism and response to abiotic stresses.Trehalose-6-phosphate synthase(TPS)is a key enzyme in the trehalose synthesis pathway.Hence this study identified TPS genes in sesame(SiTPSs)and examined their expression patterns under various abiotic stresses.Totally,ten SiTPSs were identified and comprehensively characterized.SiTPSs were found to be unevenly distributed on five out of 13 sesame chromosomes and were predicted to be localized in chloroplasts and vacuoles of cells.Phylogenetic analysis classified SiTPS proteins into two groups(I and II),which was supported by gene structure and conserved motif analyses.Analysis of cis-acting elements in promoter regions of SiTPSs revealed that they might primarily involve developmental and environmental responses.SiTPSs exhibited different expression patterns in different tissues and under different abiotic stresses.Most group II SiTPS genes(SiTPS4-SiTPS10)were strongly induced by drought,salt,waterlogging,and osmotic stress.Particularly,SiTPS10 was the most significantly up-regulated under various abiotic stresses,indicating it is a candidate gene for improving sesame tolerance to multiple abiotic stresses.Our results provide insight into the TPS gene family in sesame and fundamental resources for genomics studies towards dissecting SiTPS genes’functions.
基金Open Fund of Hubei Luojia Laboratory(No.220100033)National Natural Science Foundation of China(Nos.42174108,42192535,42242015)。
文摘Gravity field is the most basic physical field generated by the material properties of the Earth system.It reflects the spatial distribution,movement and change of materials determined by the interaction and dynamic process inside the Earth.Over the years,a variety of technical means have been used to detect the Earth’s gravity field and supported numerous studies on the global change,resource detection,geological structure movement,water resources change and other related fields of research.Here is part of the progress in surface and marine gravimetry obtained by Chinese geodesy scientists from 2019 to 2023 from the following aspects,including:①Continuous gravity network in Chinese mainland;②Application of superconducting gravity measurement;③Network adjustment for continental-scale gravity survey campaign and data quality control;④Regional time-variable gravity field and its application;⑤Research progress on novel technologies for gravity inversion;⑥Research progress on marine gravity field determination;⑦Application research on marine gravity field.
基金funded by National Natural Science Foundation of China(U1839207,U1939205)the earthquake tracking directional work task of China Earthquake Administration(No.DZ2022010214)+1 种基金Key project of Spark Program of Seismic Science and Technology of China Earthquake Administration(No.XH20008)S&T Program of Hebei(21375411D)。
文摘High-precision time-varying gravity field is an effective way to study the internal mass movement and understanding the spatio-temporal evolution process of the geodynamic system.Compared to the satellite gravity measurement,the repeated terrestrial gravity observation can provide a more high-order signal related to the shallow crust and subsurface.However,the suitable and unified method for gravity model estimation is a key problem for further applications.In this study,we introduce the spherical hexahedron element to simulate the field source mass and forward model the change of gravity field located at the Sichuan-Yunnan region(99—104°E,23—29°N)in the four epochs from 2015 to 2017.Compared to the experimental results based on Slepian or spherical harmonics frequency domain method,this alternative approach is suitable for constructing the equivalent mass source model of regional-scale gravity data,by introducing the first-order smooth prior condition of gravity time-varying signal to suppress the high-frequency component of the signal.The results can provide a higher spatial resolution reference for regional gravity field modeling in the Sichuan-Yunnan region.
基金supported by the China Agriculture Research System (no. CARS-14)Agricultural Science and Technology Innovation Project of Chinese Academy of Agricultural Sciences (CAAS-ASTIP2013-OCRI)
文摘In order to efficiently screen drought resistant varieties from a large scale of sesame germplasm, key traits were identified in this study. Six varieties with different drought resistance levels were submitted to a repeated drought stress experiment followed by rehydration phases at seedling stage. Results revealed that ‘ZZM5396', ‘ZZM1446' and‘ZZM0635' showed highest drought resistance features by phenotypic, physiological and biochemical detection. Peroxidase(POD) and catalase(CAT) activities, photosynthetic rate(Photo), root and stem dry matters are indices for drought resistance screening in sesame.Our results from seedling stage were consistent with that from germination stage, despite the fact that ‘ZZM1446' appeared to be superior under drought at seedling stage. The identified genotypes may be useful for breeding towards drought resistance and relevant molecular analysis in sesame.
基金supported by the National Natural Science Foundation of China under Grant 51777193.
文摘An improved fuzzy time series algorithmbased on clustering is designed in this paper.The algorithm is successfully applied to short-term load forecasting in the distribution stations.Firstly,the K-means clustering method is used to cluster the data,and the midpoint of two adjacent clustering centers is taken as the dividing point of domain division.On this basis,the data is fuzzed to form a fuzzy time series.Secondly,a high-order fuzzy relation with multiple antecedents is established according to the main measurement indexes of power load,which is used to predict the short-term trend change of load in the distribution stations.Matlab/Simulink simulation results show that the load forecasting errors of the typical fuzzy time series on the time scale of one day and one week are[−50,20]and[−50,30],while the load forecasting errors of the improved fuzzy time series on the time scale of one day and one week are[−20,15]and[−20,25].It shows that the fuzzy time series algorithm improved by clustering improves the prediction accuracy and can effectively predict the short-term load trend of distribution stations.
基金Basic research business expenses(Y2023LM18)the Agricultural Science and Technology Innovation Project of the Chinese Academy of Agricultural Sciences(CAAS-ASTIP-2021-OCRI).
文摘The objective of this study was to determine the differences of aroma and taste in three black sesame originsbefore and after processing via flavor and widely metabolomics.By analyzing the sensory characteristics and metabolites of raw and treated black sesame from China,Vietnam,and Myanmar,treated Chinese sesame have the most significant change in hardness after thermal processing,low viscosity and was easy to chew.The electronic nose could distinguish between raw and treated sesame due to the aroma distribution.The reason of treated sesame from China was“fragrant”is due to the highest content(2545.50μg/kg)of total pyrazines including 2,5-dimethylpyrazine,2-ethyl-5-methylpyrazine,2,3,5-trimethylpyrazine,3-ethyl-2,5-dimethylpyrazine.933 metabolites were detected via a wide targeted metabolomics in the taste of raw and treated sesame.Based on the analysis of metabolites related to bitterness,145 substances were selected.The main bitter contributors may be amino acids,dipeptides and organic acids.
基金funded by the Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences(CAAS-ASTIP-2021-OCRI)China Agriculture Research System(CARS14)+2 种基金Hubei International Science and Technology Cooperation Project(2022EHB034)the Science and Technology Innovation Project of Hubei Province(2021-620-000-001-035)the Fundamental Research Funds for Central Non-profit Scientific Institution(2013).
文摘Sesame(Sesamum indicum L.) plays a crucial role in Ethiopian agriculture,serving both subsistence and commercial purposes.However,our understanding of the extensive genetic diversity and population structure of Ethiopian sesame remains limited.To address this knowledge gap,we genotyped 368 Ethiopian sesame germplasms,categorizing into four distinct breeding groups:Accessions,landraces,improved varieties,and wild types,using a comprehensive set of 28 polymorphic markers,including 23 simple sequence repeat(SSR) and five Insertion-Deletion(InDel) markers.These markers ensured robust genomic representation,with at least two markers per linkage group.Our results unveiled substantial genetic diversity,identifying a total of 535 alleles across all accessions.On average,each locus displayed 8.83 alleles,with observed and expected heterozygosity values of 0.30 and 0.36,respectively.Gene Diversity and Polymorphic Information Content(PIC) were recorded at 0.37 and 0.35.The percentage of polymorphic loci varied significantly among breeding groups,ranging from8.00% to 82.40%,indicating high diversity in accessions(82.4%),moderate diversity in improved varieties(31.20%) and landraces(29.60%),and limited diversity in wild types(8.00).Analysis of Molecular Variance(AMOVA) results emphasized significant genetic differentiation among populations,with substantial diversity(P<0.001) within each population.Approximately 8% of the entire genetic diversity could be attributed to distinctions among populations,while the larger proportion of genetic diversity(92%) resided within each individual sesame population,showcasing heightened diversity within each group.Our study’s findings received support from both Bayesian clustering and Neighbor-joining(NJ) analysis,reaffirming the credibility of our genetic structure insights.Notably,Population structure analysis at its highest Δk value(k=2) revealed the existence of two primary genetic clusters,further subdivided into four sub-populations at k=4.Similarly,NJ analysis identified two prominent clusters,each displaying additional sub-clustering.In conclusion,our research provides a comprehensive understanding of genetic groups,subpopulations,and overall diversity within Ethiopian sesame populations.These findings underscore the significant genetic diversity and population structure within Ethiopian sesame germplasm collections.This genetic richness holds promise for breeding and conservation efforts,highlighting the importance of preserving genetic diversity to ensure adaptation to changing environments and meet the needs of farmers and consumers.
文摘The next - generation sequencing platform has revealed the genomic sequences of numer-ous plant species that are ideal resources for simple sequence repeat （SSR） locus screening. In this stud-y, we performed a comparative genomic SSR analysis on 9 sequenced plants. This showed that the total numbers of mono-, di-, tri-, tetra-, penta-, and hexa-nucleotide repeat SSRs and compound SSRs ranged from 45,552 to 326,319, and the frequencies varied from 177.9 to 573.7 with an average of 401. 3 per Mb. The SSR numbers decreased as the size of the repeat unit increased. The mono-and di-nucleotide SSRs and compound SSRs accounted for more than 78% of the total SSRs in these plants. A/T-rich re-peat motifs were generally dominant in most plants. The sizes of different SSRs varied from 10 to 7288 bp, but at least 85% of them were less than 45 bp. The polymorphism rates of different SSR types ranged from 1.5% to 14.4% in Sesamum indicum, and the mono- and di-nucleotide SSRs displayed the highest polymorphism, followed by the compound SSRs （11.2% ） . These results provide comprehensive insight into the SSR loci of plants and serve as an experimental reference for improvement of SSR marker devel-opment based on plant genomic sequences.
基金Financial support for this work was provided by the National Basic Research Program of China(2011 CB1 09304-2)the China Agriculture Research System of Sesame(CARS-15-1- 07)
文摘The main objective of this study was to evaluate the potential of a sesame （Sesamum indicum L.） panel for association analysis, and investigate the genetic basis of oil content （OC）, protein content, oleic acid concentration, and linoleic acid concentration using association mapping. A panel of 216 sesame accessions was phenotyped in a multi-environment trial and fingerprinted with 608 polymorphic loci produced by 79 primers, including simple sequence repeats （SSRs）, sequence-related amplified polymorphisms （SRAPs）, and amplified fragment length polymorphisms （AFLPs）. Population structure analysis revealed two subgroups in the population. The Q model performed better for its ability to re-identify associations for the four traits at highly significant P-values compared to the other three mixed models. And a total of 35 and 25 associations for the four traits in 2010 and 2011 were identified, respectively, with the Q model after Bonferroni correction. Among those associations, only one for OC was re-identified in two environments, and several markers associated simultaneously with multiple traits were discovered. These results suggest the power and stability of the Q model for association analysis of nutritional traits in this sesame panel for its slight population stratification and familial relationship, which could aid in dissecting complex traits, and could help to develop strategies for improving nutritional quality.
