Plant height(PH),primary lateral branch length(PBL),and branch number(BN)are architectural components impacting peanut pod yield,biomass production,and adaptivity to mechanical harvesting.In this study,a recombinant i...Plant height(PH),primary lateral branch length(PBL),and branch number(BN)are architectural components impacting peanut pod yield,biomass production,and adaptivity to mechanical harvesting.In this study,a recombinant inbred population consisting of 181 individual lines was used to determine genetic controls of PH,PBL,and BN across three environments.Phenotypic data collected from the population demonstrated continuous distributions and transgressive segregation patterns.Broad-sense heritability of PH,PBL,and BN was found to be 0.87,0.88,and 0.92,respectively.Unconditional individual environmental analysis revealed 35 additive QTLs with phenotypic variation explained(PVE)ranging from 4.57 to 21.68%.A two-round meta-analysis resulted in 24consensus and 19 unique QTLs.Five unique QTLs exhibited pleiotropic effects and their genetic bases(pleiotropy or tight linkage)were evaluated.A joint analysis was performed to estimate the QTL by environment interaction(QEI)effects on PH,PBL,and BN,collectively explaining phenotypic variations of 10.80,11.02,and 7.89%,respectively.We identified 3 major and stable QTL regions(uq9-3,uq10-2,and uq16-1)on chromosomes 9,10,and 16,spanning1.43-1.53 Mb genomic regions.Candidate genes involved in phytohormones biosynthesis,signaling,and cell wall development were proposed to regulate these morphological traits.These results provide valuable information for further genetic studies and the development of molecular markers applicable to peanut architecture improvement.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
Peanut kernels rich in oil,particularly those with oleic acid as their primary fatty acid,are in high demand among consumers,the food industry,and farmers due to their superior nutritional content,extended shelf life,...Peanut kernels rich in oil,particularly those with oleic acid as their primary fatty acid,are in high demand among consumers,the food industry,and farmers due to their superior nutritional content,extended shelf life,and health benefits.The oil content and fatty acid composition are governed by multiple genetic factors.Identifying the quantitative trait loci(QTLs)related to these attributes will facilitate marker-assisted selection and genomic selection,thus enhancing quality-focused peanut breeding programs.For this purpose,we developed a population of 521 recombinant inbred lines(RILs)and tested their kernel quality traits across five different environments.We identified two major and stable QTLs for oil content,qOCAh12.1 and qOCAh16.1.The markers linked to these QTLs were designed by Kompetitive allele-specific PCR(KASP)and subsequently validated.Moreover,we found that the superior haplotype of oil content in the qOCAh16.1 region was conserved within the plant introduction(PI)germplasm cluster,as evidenced by a diverse peanut accession panel.In addition,we determined that qAh09 and qAh19.1,which harbor the key gene encoding fatty acid desaturase 2(FAD2),influence all seven fatty acids,palmitic,stearic,oleic,linoleic,arachidic,gadoleic,and behenic acids.Regarding the protein content and the long-chain saturated fatty acid behenic acid,qAh07 emerged as the major and stable QTL,accounting for over 10%of the phenotypic variation explained(PVE).These findings can enhance marker-assisted selection in peanut breeding,with the aim of improving the oil content,and deepen our understanding of the genetic mechanisms that shape fatty acid composition.展开更多
Late leaf spot disease(LLS)is one of the most important diseases that cause severe yield losses in peanut.Peanut has various sources of resistance to LLS,so the identification of resistant quantitative trait loci(QTLs...Late leaf spot disease(LLS)is one of the most important diseases that cause severe yield losses in peanut.Peanut has various sources of resistance to LLS,so the identification of resistant quantitative trait loci(QTLs)and the development of related molecular markers are of great importance for the breeding of LLS-resistant peanut.In this study,173 individual lines of a recombinant inbred line(RIL)population and the 48K SNP array for genotyping were used to construct a high-density genetic map with 1,475 bin markers and 20 linkage groups.A total of 11 QTLs were obtained through QTL analysis using the constructed genetic map.Among them,the stable major QTL qLLS.LG02 was identified on linkage group 2 in all six environments,with the phenotypic variation explained(PVE)ranging from 15.57 to 31.09%.QTL-seq technology was also employed for a QTL analysis of LLS resistance.As a result,14 QTL loci related to LLS resistance were identified using the G prime algorithm.Notably,the physical positions of qLLS02 and qLLS03 coincided with those of qLLS.LG02 and qLLS.LG03,respectively.Gene annotation analysis within the 14 QTL intervals from QTL-seq revealed a total of 163 nucleotide-binding site-leucine-rich repeat(NBS-LRR)disease resistance genes,accounting for 22.86%of all resistance(R)genes in the peanut genome and showing a 4.26-fold enrichment with a P-value of 5.19e-57.Within the QTL region qLLS02 of the resistant parent Mi-2,there was a 5 Mb structural variation(SV)interval containing 81 NBS-LRR genes.A PCR diagnostic marker was developed,and validation data suggested that this SV might lead to gene deletion or replacement with other genes.This SV has the potential to enhance peanut resistance to LLS.The results of this study have significant implications for improving peanut breeding for LLS resistance through the development of associated molecular markers.展开更多
Soybean is one of the most important sources of vegetable oil.The oil content and fatty acid ratio have attracted significant attention due to their impacts on the shelf-life of soybean oil products and consumer healt...Soybean is one of the most important sources of vegetable oil.The oil content and fatty acid ratio have attracted significant attention due to their impacts on the shelf-life of soybean oil products and consumer health.In this study,a high-density genetic map derived from Guizao 1 and Brazil 13 was used to analyze the quantitative trait loci of palmitic acid(PA),stearic acid(SA),oleic acid(OA),linoleic acid(LA),linolenic acid(LNA),and oil content(OC).A total of 54 stable QTLs were detected in the genetic map linkage analysis,which shared six bin intervals.Among them,the bin interval on chromosome 13(bin106-bin118 and bin123-bin125)was found to include stable QTLs in multiple environments that were linked to OA,LA,and LNA.Eight differentially expressed genes(DEGs)within these QTL intervals were determined as candidate genes according to the combination of parental resequencing,bioinformatics and RNA sequencing data.All these results are conducive to breeding soybean with the ideal fatty acid ratio for food,and provide the genetic basis for mining genes related to the fatty acid and oil content traits in soybean.展开更多
基金supported by the Natural Science Foundation of Shandong Province,China(ZR2022MC045)the National Natural Science Foundation of China(32001584,32201876)+2 种基金the Major Science and Technology Program of Xinjiang Uygur Autonomous Region,China(2022A02008-3)the Breeding Project from Department of Science&Technology of Shandong Province,China(2022LZGC007)the Agricultural Scientific and the Technological Innovation Project of Shandong Academy of Agricultural Sciences,China(CXGC2023A06,CXGC2023A39 and CXGC2023A46),and the Major Scientific and Technological Achievements Cultivation Program of Shandong Academy of Agricultural Sciences,China(CXGC2025E02)。
文摘Plant height(PH),primary lateral branch length(PBL),and branch number(BN)are architectural components impacting peanut pod yield,biomass production,and adaptivity to mechanical harvesting.In this study,a recombinant inbred population consisting of 181 individual lines was used to determine genetic controls of PH,PBL,and BN across three environments.Phenotypic data collected from the population demonstrated continuous distributions and transgressive segregation patterns.Broad-sense heritability of PH,PBL,and BN was found to be 0.87,0.88,and 0.92,respectively.Unconditional individual environmental analysis revealed 35 additive QTLs with phenotypic variation explained(PVE)ranging from 4.57 to 21.68%.A two-round meta-analysis resulted in 24consensus and 19 unique QTLs.Five unique QTLs exhibited pleiotropic effects and their genetic bases(pleiotropy or tight linkage)were evaluated.A joint analysis was performed to estimate the QTL by environment interaction(QEI)effects on PH,PBL,and BN,collectively explaining phenotypic variations of 10.80,11.02,and 7.89%,respectively.We identified 3 major and stable QTL regions(uq9-3,uq10-2,and uq16-1)on chromosomes 9,10,and 16,spanning1.43-1.53 Mb genomic regions.Candidate genes involved in phytohormones biosynthesis,signaling,and cell wall development were proposed to regulate these morphological traits.These results provide valuable information for further genetic studies and the development of molecular markers applicable to peanut architecture improvement.
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supported by the National Key R&D Program of China(2022YFD1200400)the earmarked fund for CARS-13,the Major Science and Technology Projects of Henan Province,China(221100110300)the Henan Provincial R&D Program of Interregional Cooperation for Local Scientific and Technological Development Guided by Central Government,China(YDZX20214100004191)。
文摘Peanut kernels rich in oil,particularly those with oleic acid as their primary fatty acid,are in high demand among consumers,the food industry,and farmers due to their superior nutritional content,extended shelf life,and health benefits.The oil content and fatty acid composition are governed by multiple genetic factors.Identifying the quantitative trait loci(QTLs)related to these attributes will facilitate marker-assisted selection and genomic selection,thus enhancing quality-focused peanut breeding programs.For this purpose,we developed a population of 521 recombinant inbred lines(RILs)and tested their kernel quality traits across five different environments.We identified two major and stable QTLs for oil content,qOCAh12.1 and qOCAh16.1.The markers linked to these QTLs were designed by Kompetitive allele-specific PCR(KASP)and subsequently validated.Moreover,we found that the superior haplotype of oil content in the qOCAh16.1 region was conserved within the plant introduction(PI)germplasm cluster,as evidenced by a diverse peanut accession panel.In addition,we determined that qAh09 and qAh19.1,which harbor the key gene encoding fatty acid desaturase 2(FAD2),influence all seven fatty acids,palmitic,stearic,oleic,linoleic,arachidic,gadoleic,and behenic acids.Regarding the protein content and the long-chain saturated fatty acid behenic acid,qAh07 emerged as the major and stable QTL,accounting for over 10%of the phenotypic variation explained(PVE).These findings can enhance marker-assisted selection in peanut breeding,with the aim of improving the oil content,and deepen our understanding of the genetic mechanisms that shape fatty acid composition.
基金funded by the Key Research and Development Program of Shandong Province,China(2022LZGC007 and 2018GNC110036)the Natural Science Foundation of Shandong Province,China(ZR2024MC038 and ZR2020QC121)+5 种基金the Taishan Scholar Project Funding,China(tsqn201812121)the Agricultural Scientific and Technological Innovation Project of Shandong Academy of Agricultural Sciences,China(CXGC2024G20,CXGC2023A06,CXGC2022A03,and CXGC2022F33)the Science and Technology for People’s Livelihood Project of Qingdao,China(20-3-4-26-nsh)the China Agriculture Research System(CARS-13)the National Natural Science Foundation of China(32072107)the Major Scientific and Technological Project in Xinjiang,China(2022A02008-3).
文摘Late leaf spot disease(LLS)is one of the most important diseases that cause severe yield losses in peanut.Peanut has various sources of resistance to LLS,so the identification of resistant quantitative trait loci(QTLs)and the development of related molecular markers are of great importance for the breeding of LLS-resistant peanut.In this study,173 individual lines of a recombinant inbred line(RIL)population and the 48K SNP array for genotyping were used to construct a high-density genetic map with 1,475 bin markers and 20 linkage groups.A total of 11 QTLs were obtained through QTL analysis using the constructed genetic map.Among them,the stable major QTL qLLS.LG02 was identified on linkage group 2 in all six environments,with the phenotypic variation explained(PVE)ranging from 15.57 to 31.09%.QTL-seq technology was also employed for a QTL analysis of LLS resistance.As a result,14 QTL loci related to LLS resistance were identified using the G prime algorithm.Notably,the physical positions of qLLS02 and qLLS03 coincided with those of qLLS.LG02 and qLLS.LG03,respectively.Gene annotation analysis within the 14 QTL intervals from QTL-seq revealed a total of 163 nucleotide-binding site-leucine-rich repeat(NBS-LRR)disease resistance genes,accounting for 22.86%of all resistance(R)genes in the peanut genome and showing a 4.26-fold enrichment with a P-value of 5.19e-57.Within the QTL region qLLS02 of the resistant parent Mi-2,there was a 5 Mb structural variation(SV)interval containing 81 NBS-LRR genes.A PCR diagnostic marker was developed,and validation data suggested that this SV might lead to gene deletion or replacement with other genes.This SV has the potential to enhance peanut resistance to LLS.The results of this study have significant implications for improving peanut breeding for LLS resistance through the development of associated molecular markers.
基金supported by funding from the Seed Industry Revitalization Plan of Guangdong Province,China(2022-NPY-00-007)the Hainan Seed Industry Laboratory,China(B21HJ0901 and B23C1000416)+5 种基金the Key-Area Research and Development Program of Guangdong Province,China(2020B020220008)the National Natural Science Foundation of China(31971966and 31971965)the China Agricultural Research System(CARS-04-PS09)the National Key Research and Development Projects,China(2018YFE0116900-06)Guangdong Agricultural Science and Technology Innovation and Promotion Project,China(2019KJ136-03)the Sanya Science and Technology Innovation Special Project,China(2022KJCX11)。
文摘Soybean is one of the most important sources of vegetable oil.The oil content and fatty acid ratio have attracted significant attention due to their impacts on the shelf-life of soybean oil products and consumer health.In this study,a high-density genetic map derived from Guizao 1 and Brazil 13 was used to analyze the quantitative trait loci of palmitic acid(PA),stearic acid(SA),oleic acid(OA),linoleic acid(LA),linolenic acid(LNA),and oil content(OC).A total of 54 stable QTLs were detected in the genetic map linkage analysis,which shared six bin intervals.Among them,the bin interval on chromosome 13(bin106-bin118 and bin123-bin125)was found to include stable QTLs in multiple environments that were linked to OA,LA,and LNA.Eight differentially expressed genes(DEGs)within these QTL intervals were determined as candidate genes according to the combination of parental resequencing,bioinformatics and RNA sequencing data.All these results are conducive to breeding soybean with the ideal fatty acid ratio for food,and provide the genetic basis for mining genes related to the fatty acid and oil content traits in soybean.
