High-molecular-weight glutenin subunits(HMW-GSs) are the most critical grain storage proteins that determine the unique processing qualities of wheat. Although it is a part of the superior HMW-GS pair(Dx5+Dy10), the c...High-molecular-weight glutenin subunits(HMW-GSs) are the most critical grain storage proteins that determine the unique processing qualities of wheat. Although it is a part of the superior HMW-GS pair(Dx5+Dy10), the contribution of the Dy10 subunit to wheat processing quality remains unclear. In this study, we elucidated the effect of Dy10 on wheat processing quality by generating and analyzing a deletion mutant(with the Dy10-null allele), and by elucidating the changes to wheat flour following the incorporation of purified Dy10. The Dy10-null allele was transcribed normally,but the Dy10 subunit was lacking. These findings implied that the Dy10-null allele reduced the glutenin:gliadin ratio and negatively affected dough strength(i.e., Zeleny sedimentation value, gluten index, and dough development and stability times) and the bread-making quality;however, it positively affected the biscuit-making quality. The incorporation of various amounts of purified Dy10 into wheat flour had a detrimental effect on biscuit-making quality. The results of this study demonstrate that the Dy10 subunit is essential for maintaining wheat dough strength. Furthermore, the Dy10-null allele may be exploited by soft wheat breeding programs.展开更多
The spikelet number per spike(SNS)contributes greatly to grain yield in wheat.Identifying various genes that control wheat SNS is vital for yield improvement.This study used a recombinant inbred line population genoty...The spikelet number per spike(SNS)contributes greatly to grain yield in wheat.Identifying various genes that control wheat SNS is vital for yield improvement.This study used a recombinant inbred line population genotyped by the Wheat55K single-nucleotide polymorphism array to identify two major and stably expressed quantitative trait loci(QTLs)for SNS.One of them(QSns.sau-2SY-2D.1)was reported previously,while the other(QSns.sau-2SY-7A)was newly detected and further analyzed in this study.QSns.sau-2SY-7A had a high LOD value ranging from 4.46 to 16.00 and explained 10.21-40.78%of the phenotypic variances.QSns.sau-2SY-7A was flanked by the markers AX-110518554 and AX-110094527 in a 4.75-cM interval on chromosome arm 7AL.The contributions and interactions of both major QTLs were further analyzed and discussed.The effect of QSns.sau-2SY-7A was successfully validated by developing a tightly linked kompetitive allele specific PCR marker in an F_(2:3) population and a panel of 101 high-generation breeding wheat lines.Furthermore,several genes including the previously reported WHEAT ORTHOLOG OF APO1(WAPO1),an ortholog of the rice gene ABERRANT PANICLE ORGANIZATION 1(APO1)related to SNS,were predicted in the interval of QSns.sau-2SY-7A.In summary,these results revealed the genetic basis of the multi-spikelet genotype of wheat line 20828 and will facilitate subsequent fine mapping and breeding utilization of the major QTLs.展开更多
Uppermost-internode diameter(UID)is a key morphological trait associated with spike development and yield potential in wheat.Our understanding of its genetic basis remains largely unknown.Here,quantitative trait loci(...Uppermost-internode diameter(UID)is a key morphological trait associated with spike development and yield potential in wheat.Our understanding of its genetic basis remains largely unknown.Here,quantitative trait loci(QTLs)for UID with high-density genetic maps were identified in five wheat recombinant inbred line(RIL)populations.In total,25 QTLs for UID were detected in five RIL populations,and they were located on chromosomes 1A,1D(3 QTL),2B(2),2D(3),3B,3D,4A,4B(3),4D,5A(5),5B(2),6B,and 7D.Of them,five major and stable QTLs(QUid.sau-2CN-1D.1,QUid.sau-2SY-1D,QUid.sau-QZ-2D,QUid.sau-SC-3D,and QUid.sau-AS-4 B)were identified from each of the five RIL populations in multiple environments.QUid.sau-2CN-1D.1,QUid.sau-2SY-1D and QUid.sau-SC-3D are novel QTLs.Kompetitive Allele Specific PCR(KASP)markers tightly linked to them were further investigated for developing near-isogenic lines(NILs)carrying the major loci.Furthermore,candidate genes at these intervals harboring major and stable QTLs were predicted,and they were associated with plant development and water transportation in most cases.Comparison of physical locations of the identified QTL on the‘Chinese Spring’reference genome showed that several QTLs including two major ones,QUid.sau-2CN-1D.1 and QUid.sau-2 SY-1 D,are likely allelic confirming their validity and effectiveness.The significant relationships detected between UID and other agronomic traits and a proper UID were discussed.Collectively,our results dissected the underlying genetic basis for UID in wheat and laid a foundation for further fine mapping and map-based cloning of these QTLs.展开更多
Understanding the genetic basis of quality-related traits contributes to the improvement of grain protein concentration(GPC),grain starch concentration(GSC),and wet gluten concentration(WGC)in wheat.In this study,a ge...Understanding the genetic basis of quality-related traits contributes to the improvement of grain protein concentration(GPC),grain starch concentration(GSC),and wet gluten concentration(WGC)in wheat.In this study,a genome-wide association study(GWAS)based on a mixed linear model(MLM)was performed on 236 wheat accessions,including 160 cultivars and 76 landraces,using a 55K single nucleotide polymorphism(SNP)array in multiple environments.A total of 12 stable QTL/SNPs that control different quality traits in this populations in at least two environments under stripe rust stress were identified.Among these 12,three,seven and two QTLs associated with GPC,GSC and WGC were characterized,respectively,and they were located on chromosomes(chr)1B,1D,2A,2B,2D,3B,3D,5D,and 7D with the phenotypic variation explained(PVE)ranging from 4.2 to 10.7%.Compared with the previously reported QTLs/genes,five QTLs(QGsc.sicau-1BL,QGsc.sicau-1DS,QGsc.sicau-2DL.1,QGsc.sicau-2DL.2,and QWgc.sicau-5DL)were potentially novel.KASP markers for the SNPs AX-108770574 and AX-108791420 on chr5D associated with wet gluten concentration were successfully developed.The phenotypes of the cultivars containing the A-allele in AX-108770574and the T-allele in AX-108791420 were extremely significantly(P<0.01)higher than those of the landraces containing the G-or C-allele with respect to the wet gluten concentration in each of the environments.The KASP markers developed and validated in this study could be utilized in molecular breeding aimed at improving the quality of wheat.展开更多
In order to safely exploit coal resource, protection coal pillars must be prepared in coal mines. Some correlative parameters of protection coal pillar are calculated by Drop face and Drop line methods. Models of prot...In order to safely exploit coal resource, protection coal pillars must be prepared in coal mines. Some correlative parameters of protection coal pillar are calculated by Drop face and Drop line methods. Models of protecting surface objects and coal pillars are established by TIN modeling and object-oriented technique. By using ACCESS2000as the database and the VC++ and OpenGL as the language, the calculation of protective coal pillars is realized and the 3D-visulizaiton system for protected objects on ground surface and for coal pillars is developed. The system can obtain the data of characteristic points on the surface interactively from the digitized mine topography map, constructing 3D model automatically. It can also obtain the interrelated parameters of the coal seam and drill hole data from existing geological surveying database to calculate the location, surface area and the total coal columns. The whole process can be computed quickly and accurately. And the 3D visualization system was applied in a mine, showing that the system solve the problem of complex calculation,not only realized the automatic 3D mapping and visualization of coal pillars for buildings protection , but also greatly improves the working efficiency.展开更多
基金supported by the National Natural Science Foundation of China (31971939, 32072054, and 31901961)the Science and Technology Department of Sichuan Province, China (2019YFH0066 and 2020YFH0150)the Designing Future Wheat Strategic Program of the UK (BB/P016855/1)。
文摘High-molecular-weight glutenin subunits(HMW-GSs) are the most critical grain storage proteins that determine the unique processing qualities of wheat. Although it is a part of the superior HMW-GS pair(Dx5+Dy10), the contribution of the Dy10 subunit to wheat processing quality remains unclear. In this study, we elucidated the effect of Dy10 on wheat processing quality by generating and analyzing a deletion mutant(with the Dy10-null allele), and by elucidating the changes to wheat flour following the incorporation of purified Dy10. The Dy10-null allele was transcribed normally,but the Dy10 subunit was lacking. These findings implied that the Dy10-null allele reduced the glutenin:gliadin ratio and negatively affected dough strength(i.e., Zeleny sedimentation value, gluten index, and dough development and stability times) and the bread-making quality;however, it positively affected the biscuit-making quality. The incorporation of various amounts of purified Dy10 into wheat flour had a detrimental effect on biscuit-making quality. The results of this study demonstrate that the Dy10 subunit is essential for maintaining wheat dough strength. Furthermore, the Dy10-null allele may be exploited by soft wheat breeding programs.
基金supported by the projects from the Applied Basic Research Programs of Science and Technology Department of Sichuan Province, China (2020YJ0140 and 2021YJ0503)the International Science and Technology Cooperation and Exchanges Program of Science and Technology Department of Sichuan Province, China (2021YFH0083 and 2022YFH0053)+1 种基金the National Natural Science Foundation of China (31971937 and 31970243)the Key Projects of Scientific and Technological Activities for Overseas Students of Sichuan Province, China
文摘The spikelet number per spike(SNS)contributes greatly to grain yield in wheat.Identifying various genes that control wheat SNS is vital for yield improvement.This study used a recombinant inbred line population genotyped by the Wheat55K single-nucleotide polymorphism array to identify two major and stably expressed quantitative trait loci(QTLs)for SNS.One of them(QSns.sau-2SY-2D.1)was reported previously,while the other(QSns.sau-2SY-7A)was newly detected and further analyzed in this study.QSns.sau-2SY-7A had a high LOD value ranging from 4.46 to 16.00 and explained 10.21-40.78%of the phenotypic variances.QSns.sau-2SY-7A was flanked by the markers AX-110518554 and AX-110094527 in a 4.75-cM interval on chromosome arm 7AL.The contributions and interactions of both major QTLs were further analyzed and discussed.The effect of QSns.sau-2SY-7A was successfully validated by developing a tightly linked kompetitive allele specific PCR marker in an F_(2:3) population and a panel of 101 high-generation breeding wheat lines.Furthermore,several genes including the previously reported WHEAT ORTHOLOG OF APO1(WAPO1),an ortholog of the rice gene ABERRANT PANICLE ORGANIZATION 1(APO1)related to SNS,were predicted in the interval of QSns.sau-2SY-7A.In summary,these results revealed the genetic basis of the multi-spikelet genotype of wheat line 20828 and will facilitate subsequent fine mapping and breeding utilization of the major QTLs.
基金supported by the projects from the National Natural Science Foundation of China(31971937 and 31970243)the Key Projects of Scientific and Technological Activities for Overseas Students of Sichuan Province,Chinathe Applied Basic Research Programs of Science and Technology Department of Sichuan Province,China(2020YJ0140)。
文摘Uppermost-internode diameter(UID)is a key morphological trait associated with spike development and yield potential in wheat.Our understanding of its genetic basis remains largely unknown.Here,quantitative trait loci(QTLs)for UID with high-density genetic maps were identified in five wheat recombinant inbred line(RIL)populations.In total,25 QTLs for UID were detected in five RIL populations,and they were located on chromosomes 1A,1D(3 QTL),2B(2),2D(3),3B,3D,4A,4B(3),4D,5A(5),5B(2),6B,and 7D.Of them,five major and stable QTLs(QUid.sau-2CN-1D.1,QUid.sau-2SY-1D,QUid.sau-QZ-2D,QUid.sau-SC-3D,and QUid.sau-AS-4 B)were identified from each of the five RIL populations in multiple environments.QUid.sau-2CN-1D.1,QUid.sau-2SY-1D and QUid.sau-SC-3D are novel QTLs.Kompetitive Allele Specific PCR(KASP)markers tightly linked to them were further investigated for developing near-isogenic lines(NILs)carrying the major loci.Furthermore,candidate genes at these intervals harboring major and stable QTLs were predicted,and they were associated with plant development and water transportation in most cases.Comparison of physical locations of the identified QTL on the‘Chinese Spring’reference genome showed that several QTLs including two major ones,QUid.sau-2CN-1D.1 and QUid.sau-2 SY-1 D,are likely allelic confirming their validity and effectiveness.The significant relationships detected between UID and other agronomic traits and a proper UID were discussed.Collectively,our results dissected the underlying genetic basis for UID in wheat and laid a foundation for further fine mapping and map-based cloning of these QTLs.
基金supported by the National Key Research and Development Program of China(2017YFD0100900,2016YFD0102000 and 2016YFD0100100)the International Science and Technology Cooperation and Exchanges Programs of Science and Technology Department of Sichuan Province,China(2019YFH0063)the Sichuan Science and Technology Program,China(2022ZDZX0014)。
文摘Understanding the genetic basis of quality-related traits contributes to the improvement of grain protein concentration(GPC),grain starch concentration(GSC),and wet gluten concentration(WGC)in wheat.In this study,a genome-wide association study(GWAS)based on a mixed linear model(MLM)was performed on 236 wheat accessions,including 160 cultivars and 76 landraces,using a 55K single nucleotide polymorphism(SNP)array in multiple environments.A total of 12 stable QTL/SNPs that control different quality traits in this populations in at least two environments under stripe rust stress were identified.Among these 12,three,seven and two QTLs associated with GPC,GSC and WGC were characterized,respectively,and they were located on chromosomes(chr)1B,1D,2A,2B,2D,3B,3D,5D,and 7D with the phenotypic variation explained(PVE)ranging from 4.2 to 10.7%.Compared with the previously reported QTLs/genes,five QTLs(QGsc.sicau-1BL,QGsc.sicau-1DS,QGsc.sicau-2DL.1,QGsc.sicau-2DL.2,and QWgc.sicau-5DL)were potentially novel.KASP markers for the SNPs AX-108770574 and AX-108791420 on chr5D associated with wet gluten concentration were successfully developed.The phenotypes of the cultivars containing the A-allele in AX-108770574and the T-allele in AX-108791420 were extremely significantly(P<0.01)higher than those of the landraces containing the G-or C-allele with respect to the wet gluten concentration in each of the environments.The KASP markers developed and validated in this study could be utilized in molecular breeding aimed at improving the quality of wheat.
基金Projects 59904001 supported by National Natural Science Foundation of China
文摘In order to safely exploit coal resource, protection coal pillars must be prepared in coal mines. Some correlative parameters of protection coal pillar are calculated by Drop face and Drop line methods. Models of protecting surface objects and coal pillars are established by TIN modeling and object-oriented technique. By using ACCESS2000as the database and the VC++ and OpenGL as the language, the calculation of protective coal pillars is realized and the 3D-visulizaiton system for protected objects on ground surface and for coal pillars is developed. The system can obtain the data of characteristic points on the surface interactively from the digitized mine topography map, constructing 3D model automatically. It can also obtain the interrelated parameters of the coal seam and drill hole data from existing geological surveying database to calculate the location, surface area and the total coal columns. The whole process can be computed quickly and accurately. And the 3D visualization system was applied in a mine, showing that the system solve the problem of complex calculation,not only realized the automatic 3D mapping and visualization of coal pillars for buildings protection , but also greatly improves the working efficiency.
