Simultaneously improving Fusarium head blight(FHB)resistance and grain yield is challenging in wheat breeding.The correlations between spikelet compactness(SC),grain number per spike(GNS),thousandgrain weight(TGW)and ...Simultaneously improving Fusarium head blight(FHB)resistance and grain yield is challenging in wheat breeding.The correlations between spikelet compactness(SC),grain number per spike(GNS),thousandgrain weight(TGW)and FHB resistance remains unclear in common wheat.Identification of major quantitative trait loci(QTL)conferring FHB resistance and yield components,and development of breeder-friendly markers for the QTL are prerequisites for marker-assisted selection(MAS).Here,a recombinant inbred line(RIL)population derived from a cross between a resistant cultivar Yangmai 12(YM12)and a susceptible cultivar Yanzhan 1(YZ1)was used to map QTL for FHB resistance and yield components.A total of 22 QTL were identified;among these,six are likely to be new for corresponding traits.A QTL cluster(Qclu.yas-2D)for FHB type II resistance,SC,GNS,and TGW was detected on chromosome 2D.Breeder-friendly kompetitive allele-specific PCR(KASP)markers flanking the interval of Qclu.yas-2D were developed and validated in a diverse panel of 166 wheat cultivars and advanced lines.The YM12 alleles of Qclu.yas-2D significantly increased FHB resistance,SC,and GNS but decreased TGW in the validation population.The KASP markers developed for Qclu.yas-2D have great potential for breeding high-yielding wheat cultivars with enhanced FHB resistance.展开更多
To enhance understanding of the genetic basis of trait correlation in rice,a recombinant inbred line(RIL)population(F6 and F7) from a cross between Zhenshan97 and HR5 was employed to identify main quantitative trait l...To enhance understanding of the genetic basis of trait correlation in rice,a recombinant inbred line(RIL)population(F6 and F7) from a cross between Zhenshan97 and HR5 was employed to identify main quantitative trait loci(QTLs)and epistatic QTL(E-QTL).Highly significant positive correlations were detected among five traits of heading date(HD),plant height(PH),panicle length(PL),flag leaf length(FLL)and flag leaf width(FLW)in 2 environments.Four to 8 main QTLs were detected for an individual trait.No E-QTL was detected for PH.One,4,4 and 5 E-QTLs were detected for FLL,HD,FLW and PL,respectively.Each E-QTL individually explained less than 3%of trait variation except E-QFll1.Comparison of QTL results was made in order to dissect the genetic basis of trait correlation.We found that main QTLs with pleiotropic effects and QTL clusters were the main genetic basis of trait correlation.No E-QTL had pleiotropic effects.E-QTL played an important role in the genetic basis of individual trait,but it made a little contribution to trait correlation.展开更多
To reveal the genetic basis of potassium use efficiency(KUE) in rapeseed, root morphology(RM), biomass and KUE-related traits were measured in a recombinant inbred line population with 175 F7 lines that were subjected...To reveal the genetic basis of potassium use efficiency(KUE) in rapeseed, root morphology(RM), biomass and KUE-related traits were measured in a recombinant inbred line population with 175 F7 lines that were subjected to high-potassium(HK) and low-potassium(LK) treatments by hydroponics. A total of 109 significant QTLs were identified to be associated with the examined traits. Sixty-one of these QTLs were integrated into nine stable QTLs. The higher heritability for RM and biomass traits and lower heritability for KUE-related traits, as well as nine stable QTLs for RM traits and only two for KUE-related traits,suggested that regulating RM traits would be more effective than selecting KUE traits directly to improve KUE by markerassisted selection. Furthermore, the integration of stable QTLs identified in the HK, LK, high-nitrogen(HN) and low-nitrogen(LN) conditions gave 10 QTL clusters. Seven of these clusters were classified into major QTLs that explained 7.4%–23.7% of the total phenotypic variation. Five of the major QTL clusters were detected under all of the treated conditions, and four clusters were specifically detected under the LK and LN conditions. These common and specific QTL clusters may be useful for the simultaneous improvement of multiple traits by marker-assisted selection.展开更多
基金supported by the National Natural Science Foundation of China(31901544,32071999)the National Key Research and Development Program of Jiangsu(BE2021335)+2 种基金the Core Provenance Project in Jiangsu(JBGS[2021]047)the Agriculture Science and Technology Innovation Fund in Jiangsu(CX(20)3009)the Scientific Research Special Fund of Lixiahe Institute of Agricultural Sciences(SJ(21)101).
文摘Simultaneously improving Fusarium head blight(FHB)resistance and grain yield is challenging in wheat breeding.The correlations between spikelet compactness(SC),grain number per spike(GNS),thousandgrain weight(TGW)and FHB resistance remains unclear in common wheat.Identification of major quantitative trait loci(QTL)conferring FHB resistance and yield components,and development of breeder-friendly markers for the QTL are prerequisites for marker-assisted selection(MAS).Here,a recombinant inbred line(RIL)population derived from a cross between a resistant cultivar Yangmai 12(YM12)and a susceptible cultivar Yanzhan 1(YZ1)was used to map QTL for FHB resistance and yield components.A total of 22 QTL were identified;among these,six are likely to be new for corresponding traits.A QTL cluster(Qclu.yas-2D)for FHB type II resistance,SC,GNS,and TGW was detected on chromosome 2D.Breeder-friendly kompetitive allele-specific PCR(KASP)markers flanking the interval of Qclu.yas-2D were developed and validated in a diverse panel of 166 wheat cultivars and advanced lines.The YM12 alleles of Qclu.yas-2D significantly increased FHB resistance,SC,and GNS but decreased TGW in the validation population.The KASP markers developed for Qclu.yas-2D have great potential for breeding high-yielding wheat cultivars with enhanced FHB resistance.
基金supported by grants from the National Basic Research Program of China(2007CB109001)the Doctoral Fund for Promoting Scientific Research from the Natural Science Foundation of Guangdong Province(8452840301001691)
文摘To enhance understanding of the genetic basis of trait correlation in rice,a recombinant inbred line(RIL)population(F6 and F7) from a cross between Zhenshan97 and HR5 was employed to identify main quantitative trait loci(QTLs)and epistatic QTL(E-QTL).Highly significant positive correlations were detected among five traits of heading date(HD),plant height(PH),panicle length(PL),flag leaf length(FLL)and flag leaf width(FLW)in 2 environments.Four to 8 main QTLs were detected for an individual trait.No E-QTL was detected for PH.One,4,4 and 5 E-QTLs were detected for FLL,HD,FLW and PL,respectively.Each E-QTL individually explained less than 3%of trait variation except E-QFll1.Comparison of QTL results was made in order to dissect the genetic basis of trait correlation.We found that main QTLs with pleiotropic effects and QTL clusters were the main genetic basis of trait correlation.No E-QTL had pleiotropic effects.E-QTL played an important role in the genetic basis of individual trait,but it made a little contribution to trait correlation.
基金supported by the National Key Research and Development Program of China (2016YFD0100200)the Natural Foundation of Hubei Province (2018CFB246)+2 种基金the National Natural Science Foundation of China (31501820)Rapeseed Industry Technology System (CARS-13)the Agricultural Science and Technology Innovation Project (CAAS-ASTIP-2013-OCRI)
文摘To reveal the genetic basis of potassium use efficiency(KUE) in rapeseed, root morphology(RM), biomass and KUE-related traits were measured in a recombinant inbred line population with 175 F7 lines that were subjected to high-potassium(HK) and low-potassium(LK) treatments by hydroponics. A total of 109 significant QTLs were identified to be associated with the examined traits. Sixty-one of these QTLs were integrated into nine stable QTLs. The higher heritability for RM and biomass traits and lower heritability for KUE-related traits, as well as nine stable QTLs for RM traits and only two for KUE-related traits,suggested that regulating RM traits would be more effective than selecting KUE traits directly to improve KUE by markerassisted selection. Furthermore, the integration of stable QTLs identified in the HK, LK, high-nitrogen(HN) and low-nitrogen(LN) conditions gave 10 QTL clusters. Seven of these clusters were classified into major QTLs that explained 7.4%–23.7% of the total phenotypic variation. Five of the major QTL clusters were detected under all of the treated conditions, and four clusters were specifically detected under the LK and LN conditions. These common and specific QTL clusters may be useful for the simultaneous improvement of multiple traits by marker-assisted selection.
