Background:Genetic improvement in fiber quality is one of the main challenges for cotton breeders.Quantitative trait loci(QTL)mapping provides a powerful approach to dissect the molecular mechanism in fiber quality tr...Background:Genetic improvement in fiber quality is one of the main challenges for cotton breeders.Quantitative trait loci(QTL)mapping provides a powerful approach to dissect the molecular mechanism in fiber quality traits.In present study,F14 recombinant inbred line(RIL)population was backcrossed to paternal parent for a paternal backcross(BC/P)population,deriving from one upland cotton hybrid.Three repetitive BC/P field trials and one maternal backcross(BC/M)field trial were performed including both two BC populations and the original RIL population.Results:In total,24 novel QTLs are detected for fiber quality traits and among which 13 QTLs validated previous results.Thirty-five QTLs in BC/P populations explain 5.01%–22.09%of phenotype variation(PV).Among the 35 QTLs,23 QTLs are detected in BC/P population alone.Present study provides novel alleles of male parent for fiber quality traits with positive genetic effects.Particularly,qFS-Chr3–1 explains 22.09%of PV in BC/P population,which increaseds 0.48 cN·tex−1 for fiber strength.A total of 7,2,8,2 and 6 QTLs explain over 10.00%of PV for fiber length,fiber uniformity,fiber strength,fiber elongation and fiber micronaire,respectively.In RIL population,six common QTLs are detected in more than one environment:qFL-Chr1–2,qFS-Chr5–1,qFS-Chr9–1,qFS-Chr21–1,qFM-Chr9–1 and qFM-Chr9–2.Two common QTLs of qFE-Chr2–2(TMB2386-SWU12343)and qFM-Chr9–1(NAU2873-CGR6771)explain 22.42%and 21.91%of PV.The region between NAU4034 and TMB1296 harbor 30 genes(379 kb)in A05 and 42 genes(49 kb)in D05 for fiber length along the QTL qFL-Chr5–1 in BC/P population,respectively.In addition,a total of 142 and 46 epistatic QTLs and QTL×environments(E-QTLs and QQEs)are identified in recombinant inbred lines in paternal backcross(RIL-P)and paternal backcross(BC/P)populations,respectively.Conclusions:The present studies provide informative basis for improving cotton fiber quality in different populations.展开更多
Cotton is one of the most important economic crops in the world,and it provides natural fiber for the textile industry.With the advancement of the textile technology and increased consumption demands on cotton fiber,b...Cotton is one of the most important economic crops in the world,and it provides natural fiber for the textile industry.With the advancement of the textile technology and increased consumption demands on cotton fiber,both cotton yield and quality should be enhanced.However,cotton yield展开更多
Background:Meta-analysis of quantitative trait locus(QTL)is a computational technique to identify consensus QTL and refine QTL positions on the consensus map from multiple mapping studies.The combination of meta-QTL i...Background:Meta-analysis of quantitative trait locus(QTL)is a computational technique to identify consensus QTL and refine QTL positions on the consensus map from multiple mapping studies.The combination of meta-QTL intervals,significant SNPs and transcriptome analysis has been widely used to identify candidate genes in various plants.Results:In our study,884 QTLs associated with cotton fiber quality traits from 12 studies were used for meta-QTL analysis based on reference genome TM-1,as a result,74 meta-QTLs were identified,including 19 meta-QTLs for fiber length;18 meta-QTLs for fiber strength;11 meta-QTLs for fiber uniformity;11 meta-QTLs for fiber elongation;and 15 meta-QTLs for micronaire.Combined with 8589 significant single nucleotide polymorphisms associated with fiber quality traits collected from 15 studies,297 candidate genes were identified in the meta-QTL intervals,20 of which showed high expression levels specifically in the developing fibers.According to the function annotations,some of the 20 key candidate genes are associated with the fiber development.Conclusions:This study provides not only stable QTLs used for marker-assisted selection,but also candidate genes to uncover the molecular mechanisms for cotton fiber development.展开更多
Cotton is the worlds leading natural fiber crop,and it is the cornerstone of textile industries worldwide.The cotton industry is confronted with problems in cost of production and
Background:Upland cotton(Gossypium hirsutum)accounts for more than 90%of the annual world cotton output because of its high yield potential.However,yield and fiber quality traits often show negative correlations.We co...Background:Upland cotton(Gossypium hirsutum)accounts for more than 90%of the annual world cotton output because of its high yield potential.However,yield and fiber quality traits often show negative correlations.We constructed four F_(2)populations of upland cotton,using two normal lines(4133B and SGK9708)with high yield potential but moderate fiber quality and two introgression lines(Suyuan04–3 and J02–247)with superior fiber quality,and used them to investigate the genetic basis underlying complex traits such as yield and fiber quality in upland cotton.We also phenotyped eight agronomic and economic traits and mapped quantitative trait loci(QTLs).Results:Extensive phenotype variations and transgressive segregation were found across the segregation populations.We constructed four genetic maps of 585.97 centiMorgan(cM),752.45 cM,752.45 cM,and 1163.66 cM,one for each of the four F_(2)populations.Fifty QTLs were identified across the four populations(7 for plant height,27 for fiber quality and 16 for yield).The same QTLs were identified in different populations,including qBW4 and qBW2,which were linked to a common simple sequence repeat(SSR)marker,NAU1255.A QTL cluster containing eight QTLs for six different traits was characterized on linkage group 9 of the 4133B×Suyuan04–3 population.Conclusions:These findings will provide insights into the genetic basis of simultaneous improvement of yield and fiber quality in upland cotton breeding.展开更多
Background Gossypium barbadense L.has specific fibre in terms of its length,strength,and fineness,and known as extra-long staple(ELS) cotton,Sea–Island cotton,or Egyptian cotton.Narrow genetic base with less genetic ...Background Gossypium barbadense L.has specific fibre in terms of its length,strength,and fineness,and known as extra-long staple(ELS) cotton,Sea–Island cotton,or Egyptian cotton.Narrow genetic base with less genetic variability is observed in G.barbadense germplasm.Hence,this study was aimed to evaluate the genetic variability present in 108 germplasm accessions of G.barbadense and to identify the superior genotypes based on the fibre traits.Results We evaluated 108 accessions for five fibre quality traits along with three checks in augmented block design.All fibre traits showed significant differences among genotypes,indicating that there is genetic potential for improvement.Fibre strength and micronaire(MIC) showed high phenotypic and genotypic coefficients of variation.High heritability combined with high genetic advance as percentage of mean(GAM) was recorded for fibre length,strength,and micronaire.Fibre strength and fibre length were significantly correlated with each other,while both showed negative correlation with micronaire.Principal component analysis and Biplot analysis showed that uniformity index discriminated all the genotypes in higher level,while fibre length and strength were medium in discrimination power.Biplot revealed genotypes DB 16,EC959191,GSB 39,ARBB 20,5746U,EA 203,and EA 201 were genetically diverse.Hierarchal cluster analysis based on unweighted paired group method using arithmetic average(UPGMA) grouped the genotypes into four clusters,with each cluster consisting of 4,18,48,and 38 genotypes,respectively.Conclusion Among the genotypes,34 for fibre length(> 35 mm),18 for fibre strength(> 40.4 g·tex^(-1)) and 66 for micronaire(3.7-4.2,A grade) were identified as potential accessions based on their superiority.The superior fibre genotypes identified in this study are potential lines for the ELS cotton breeding program.展开更多
基金the National Key R&D Program for Crop Breeding(2016YFD0101407)to Hua JP.
文摘Background:Genetic improvement in fiber quality is one of the main challenges for cotton breeders.Quantitative trait loci(QTL)mapping provides a powerful approach to dissect the molecular mechanism in fiber quality traits.In present study,F14 recombinant inbred line(RIL)population was backcrossed to paternal parent for a paternal backcross(BC/P)population,deriving from one upland cotton hybrid.Three repetitive BC/P field trials and one maternal backcross(BC/M)field trial were performed including both two BC populations and the original RIL population.Results:In total,24 novel QTLs are detected for fiber quality traits and among which 13 QTLs validated previous results.Thirty-five QTLs in BC/P populations explain 5.01%–22.09%of phenotype variation(PV).Among the 35 QTLs,23 QTLs are detected in BC/P population alone.Present study provides novel alleles of male parent for fiber quality traits with positive genetic effects.Particularly,qFS-Chr3–1 explains 22.09%of PV in BC/P population,which increaseds 0.48 cN·tex−1 for fiber strength.A total of 7,2,8,2 and 6 QTLs explain over 10.00%of PV for fiber length,fiber uniformity,fiber strength,fiber elongation and fiber micronaire,respectively.In RIL population,six common QTLs are detected in more than one environment:qFL-Chr1–2,qFS-Chr5–1,qFS-Chr9–1,qFS-Chr21–1,qFM-Chr9–1 and qFM-Chr9–2.Two common QTLs of qFE-Chr2–2(TMB2386-SWU12343)and qFM-Chr9–1(NAU2873-CGR6771)explain 22.42%and 21.91%of PV.The region between NAU4034 and TMB1296 harbor 30 genes(379 kb)in A05 and 42 genes(49 kb)in D05 for fiber length along the QTL qFL-Chr5–1 in BC/P population,respectively.In addition,a total of 142 and 46 epistatic QTLs and QTL×environments(E-QTLs and QQEs)are identified in recombinant inbred lines in paternal backcross(RIL-P)and paternal backcross(BC/P)populations,respectively.Conclusions:The present studies provide informative basis for improving cotton fiber quality in different populations.
文摘Cotton is one of the most important economic crops in the world,and it provides natural fiber for the textile industry.With the advancement of the textile technology and increased consumption demands on cotton fiber,both cotton yield and quality should be enhanced.However,cotton yield
基金This work was supported by the National Natural Science Foundation of China(31760402)Public Welfare Research Projects in the Autonomous Region(KY2019002)Special Programs for New Varieties Cultivation of Shihezi University(YZZX201701).
文摘Background:Meta-analysis of quantitative trait locus(QTL)is a computational technique to identify consensus QTL and refine QTL positions on the consensus map from multiple mapping studies.The combination of meta-QTL intervals,significant SNPs and transcriptome analysis has been widely used to identify candidate genes in various plants.Results:In our study,884 QTLs associated with cotton fiber quality traits from 12 studies were used for meta-QTL analysis based on reference genome TM-1,as a result,74 meta-QTLs were identified,including 19 meta-QTLs for fiber length;18 meta-QTLs for fiber strength;11 meta-QTLs for fiber uniformity;11 meta-QTLs for fiber elongation;and 15 meta-QTLs for micronaire.Combined with 8589 significant single nucleotide polymorphisms associated with fiber quality traits collected from 15 studies,297 candidate genes were identified in the meta-QTL intervals,20 of which showed high expression levels specifically in the developing fibers.According to the function annotations,some of the 20 key candidate genes are associated with the fiber development.Conclusions:This study provides not only stable QTLs used for marker-assisted selection,but also candidate genes to uncover the molecular mechanisms for cotton fiber development.
文摘Cotton is the worlds leading natural fiber crop,and it is the cornerstone of textile industries worldwide.The cotton industry is confronted with problems in cost of production and
基金the National Key R&D Program of China(2017YFD0101600).
文摘Background:Upland cotton(Gossypium hirsutum)accounts for more than 90%of the annual world cotton output because of its high yield potential.However,yield and fiber quality traits often show negative correlations.We constructed four F_(2)populations of upland cotton,using two normal lines(4133B and SGK9708)with high yield potential but moderate fiber quality and two introgression lines(Suyuan04–3 and J02–247)with superior fiber quality,and used them to investigate the genetic basis underlying complex traits such as yield and fiber quality in upland cotton.We also phenotyped eight agronomic and economic traits and mapped quantitative trait loci(QTLs).Results:Extensive phenotype variations and transgressive segregation were found across the segregation populations.We constructed four genetic maps of 585.97 centiMorgan(cM),752.45 cM,752.45 cM,and 1163.66 cM,one for each of the four F_(2)populations.Fifty QTLs were identified across the four populations(7 for plant height,27 for fiber quality and 16 for yield).The same QTLs were identified in different populations,including qBW4 and qBW2,which were linked to a common simple sequence repeat(SSR)marker,NAU1255.A QTL cluster containing eight QTLs for six different traits was characterized on linkage group 9 of the 4133B×Suyuan04–3 population.Conclusions:These findings will provide insights into the genetic basis of simultaneous improvement of yield and fiber quality in upland cotton breeding.
基金supported by ICAR-Central Institute for Cotton Research, Regional Station, Coimbatore, India。
文摘Background Gossypium barbadense L.has specific fibre in terms of its length,strength,and fineness,and known as extra-long staple(ELS) cotton,Sea–Island cotton,or Egyptian cotton.Narrow genetic base with less genetic variability is observed in G.barbadense germplasm.Hence,this study was aimed to evaluate the genetic variability present in 108 germplasm accessions of G.barbadense and to identify the superior genotypes based on the fibre traits.Results We evaluated 108 accessions for five fibre quality traits along with three checks in augmented block design.All fibre traits showed significant differences among genotypes,indicating that there is genetic potential for improvement.Fibre strength and micronaire(MIC) showed high phenotypic and genotypic coefficients of variation.High heritability combined with high genetic advance as percentage of mean(GAM) was recorded for fibre length,strength,and micronaire.Fibre strength and fibre length were significantly correlated with each other,while both showed negative correlation with micronaire.Principal component analysis and Biplot analysis showed that uniformity index discriminated all the genotypes in higher level,while fibre length and strength were medium in discrimination power.Biplot revealed genotypes DB 16,EC959191,GSB 39,ARBB 20,5746U,EA 203,and EA 201 were genetically diverse.Hierarchal cluster analysis based on unweighted paired group method using arithmetic average(UPGMA) grouped the genotypes into four clusters,with each cluster consisting of 4,18,48,and 38 genotypes,respectively.Conclusion Among the genotypes,34 for fibre length(> 35 mm),18 for fibre strength(> 40.4 g·tex^(-1)) and 66 for micronaire(3.7-4.2,A grade) were identified as potential accessions based on their superiority.The superior fibre genotypes identified in this study are potential lines for the ELS cotton breeding program.
