四倍体棉花纤维品质相关性状QTL定位及元分析
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摘要
棉花是全世界重要的经济作物。随着纺织技术的革新，改良棉花纤维品质性状就显得极其重要。本研究目的在于筛选不同来源的纤维品质性状相关QTL或者在不同遗传背景中能共同表达的QTL，并通过图谱映射和元分析为挖掘、寻找一致性QTL或真实性QTL，为图位克隆和分子标记辅助育种提供理论依据。主要包含三方面的研究内容：（1）以陆地棉标准系“TM-1”和具有陆地棉三元杂种血缘的“渝棉l号”组配高代回交自交群体BC4F2为研究材料，进行纤维品质性状的QTL筛选。并通过以陆地棉标准系“TM-1”为轮回亲本，“Acala SJ”为供体亲本同样组配BC4F2群体，此群体为验证相同受体亲本定位获得的QTL在不同遗传背景下的表现；（2）以SSR标记和具有差异表达TDFs转录标记，加密BC1[(中棉所8号×Pima90-53)×中棉所8号]遗传图谱，通过复合区间作图法（CIM）重新分析上半部平均长度、整齐度指数、马克隆值、伸长率和断裂比强度等5个纤维品质性状的QTL；（3）以本实验室加密后的[(中棉所8号×Pima90-53)×中棉所8号] BC1遗传图谱为参考图谱，对本实验室已构建的F2和BC1F2图谱进行标记整合，并将已定位的与纤维品质性状相关的QTL采用图谱映射寻找一致性QTL或QTL热点区。主要结果如下：
1、以3980对SSR引物、238对SRAP组合引物和85对TRAP组合引物对亲本TM-1和渝棉1号进行多态性筛选，共获得288对多态性引物，多态性比例为6.69%。本研究最终用于陆地棉种内图谱构建的SSR标记位点数为103个，SRAP和TRAP标记位点34个。图谱构建的连锁测验标准LOD值大于等于8.0，最大连锁距离设为50cM。119个多态性标记位点定位到26个连锁群上，标记间平均遗传距离为5.50cM，连锁图谱覆盖654.1cM，约占棉花基因组的14.70%。所得连锁群可以定位到14条染色体和3条未知连锁群上。通过复合区间作图法（CIM）对Pop1群体纤维品质性状进行QTL定位，共获得31个与纤维品质性状相关的QTL，其中纤维伸长率相关6个、纤维长度7个、马克隆值4个、纤维比强度5个、纤维整齐度1个、成熟度指数3个、短纤维指数5个，贡献率分别为17.77%-24.70%、14.01%-24.67%、22.57%-24.19%、20.43%-36.66%、22.9%、23.65%-24.65%、22.32%-24.37%。利用Pop2群体验证Pop1定位获得的QTL，研究结果表明，在染色体24上发现1个与比强度相关的QTL与Pop1中相同位置的QTL具有相同的标记区间（NAU5379-NAU1125），贡献率为20.14%。
2、基于本实验室前期构建的[(中棉所8号×Pima90-53)×中棉所8号] BC1遗传图谱，标记位点209个。在此基础上增加了370个标记位点，通过作图软件MAPMAKER3.0对标记进行连锁分析，连锁图谱包含579个标记位点（LOD=4.0，最大遗传距离为50cM），56个连锁群，标记间平均距离为7.2cM，覆盖全基因组4168.72cM。43个连锁群通过204个锚定标记被分配到26条染色体上，13个连锁群未被定位在特定染色体上，暂时命名为unknown1~13。采用卡方(χ2)测验判断标记是否偏离（1:1）孟德尔分离比例。结果表明：579个标记位点中包含120个偏分离标记，占总标记数的20.72%。45个TDFs被定位在14条染色体和7条未知连锁群中。通过复合区间作图法（CIM）对纤维品质性状的重新定位，共获得47个与纤维品质相关的QTL，分布在18条染色体上。其中6个与纤维伸长率相关的QTL，可解释的表型变异为8.91%-23.73%；8个与纤维长度相关的QTL，可解释的表型变异为9.33%-22.58%；14个与马克隆值相关的QTL，可解释的表型变异为7.72%-20.94%；10个与纤维比强度相关的QTL，可解释的表型变异为10.44%-16.55%；9个与纤维整齐度相关的QTL，可解释的表型变异为8.35%-20.85%。染色体9上在不同环境（2007BD和2008XJ）同时定位获得两个与纤维比强度相关的QTL（qFS9-1和qFS9-2），加性效应均为正值，可解释的表型变异达显著水平，分别为15.71%和14.42%。染色体14上定位获得1个QTL，临近标记为TCG/GTT-272（TDF位点），加性效应为2.3324，可解释的表型变异为14.32%。qFU5-1和qFU5-2位于染色体5上，享有共同标记NAU3828，在2008年河北保定和辛集两个环境分别被检测到。47个与纤维品质性状相关的QTL，其中16个QTL的加性效应均为正值，4个均为负值，增效基因来源于海岛棉Pima90-53，起到提高纤维品质的作用；27个QTL的增效基因来自陆地棉中棉所8号。利用邯郸208和Pima90-53组配的176个单株的F2和350个单株的BC1群体验证[(中棉所8号×Pima90-53)×中棉所8号] BC1群体定位获得的纤维比强度QTL (qFS9-1和qFS9-2），结果发现分别在邯郸208和Pima90-53的F2和BC1群体中定位获得1个纤维比强度QTL，与qFS9-1和qFS9-2具有相同的标记区间(NAU2395-NAU1092)。
3、通过整合本试验室由陆地棉中棉所8号和海岛棉Pima90-53组配的BC1和BC1F2两个群体的92个纤维品质性状相关的QTL，构建了1张只包含BC1和BC1F2两个群体63个纤维品质相关性状QTL的整合图谱。整合图谱包含599个标记位点，覆盖全基因组3571.9cM，标记间平均距离为5.96cM，包含26条染色体。其中12个与纤维长度相关，分别整合于染色体1、7、11、14、16、21和22上；19与马克隆值相关，分别整合于染色体1、5、7、12、14、16和24上；7个与纤维伸长率相关，分别整合于染色体1、9、13、19和24上；14与纤维比强度相关，分别整合于染色体3、5、9、14、16、18、20和22上；11个与整齐度相关，分别整合于染色体5、9、11、16、18、20和21上。通过软件BioMercator2.1的meta-analysis功能分析，在15条染色体上共获得30个与纤维品质相关的MQTL。其中染色体9上的MQTL9-1整合了2个研究的6个QTL，位于62.16cM处，以5个纤维比强度性状为主，置信区间为17.43cM （45.7-63.1），贡献率为17.16%；在染色体16上控制纤维品质性状的MQTL16-1位于29.92cM处，置信区间为14.1cM（22.87-36.97），平均贡献率为12.28%，分别整合了来自2个研究的10个QTL；染色体18、24中的MQTL18-1和MQTL24-2，分别整合了来自同一研究结果的QTL，置信区间均小于10cM，且贡献率均大于10%。其他染色体获得的MQTL由于置信区间大于20cM暂定为微效QTL。
Cotton is an important cash crop in the world. The improvement of cotton fiberquality is becoming extremely significant with the innovation of spinning technology.Although more and more QTL for fiber quality related traits have been developed, theaccuracy and validity of these QTL are not always effective in different populations, fordifferent traits, or by different method of data analysis. It is very important to obtain thereal and effective QTL, which would provide great significance for map cloning andmolecular marker assisted selection. In the present study, the main concepts were shown asfollows:(1) QTL for fiber quality related traits were tested by the first advance backcrossBC4F2segregating population derived from the cross of TM-1, a genetic standard line ofupland cotton, and Yumian1, a high quality cotton cultivar. Subsequently, these QTL forfiber quality traits were identified by the second BC4F2segregating population derivedfrom the cross of TM-1and Acala SJ.(2) BC1population with95plants from a crossbetween Gossypium hirsutum cv. CRI8and G. barbadense cv. Pima90-53was employed toreconstruct genetic linkage map by519SSRs,2CISPs and156Apo I/Taq I selectiveprimer combinations. Then, QTL for fiber quality traits was recalculated by compositeinterval mapping (CIM).(3) In order to excavate the “consensus” QTL and QTL “hotregion” in these independent experiments, QTLQTL for fiber quality traits in cotton，collected from different publications,were used to construct new QTL integrated map usingbioinformation and meta-analysis methods with BC1map as refrence.
The main results were summarized as follows：
1. In total,3,980SSR primers,238pairs SRAP and85pairs TRAP were used to screenthe polymorphism among Yumian1and T586，and288polymorphic primer pairs wereobtained, acconting for5.32%of the tatal primer pairs. The polymorphic primer pairsproduced119loci when they were used to genotype the158BC4F2individuals of[(TM-1×Yumian1)×TM-1]. One hundred ninteen loci were used to construct geneticlinkage groups with LOD value of8.0and maximum distance of50.0cM. The mapcomprised of119marker loci mapped into26linkage groups withan average distancebetween adjacent markers of5.5cM and covered654.1cM. Twenty-three of26linkage groups were assigned to14chromosomes and3unknown linkage groups.Based on the newly constructed genetic map of tetraploid cotton, QTL for fiber qualitytraits were identified to use composite interval mapping (CIM) method by phenotypic data from BC4F2population, BC4F2:3and BC4F2:4family lines. Thirty-one QTL forfiber quality traits were detected on5chromosomes. Six QTL for fiber elongationwere identified, explaining17.77%-24.70%of the phenotypic variance. Seven QTLfor fiber length were identified, explaining14.01%-24.67%of the phenotypic variance.One QTL for length uniformity were identified, explaining22.9%of the phenotypicvariance. Four QTL for micronaire were identified, explaining22.57%-24.19%of thephenotypic variance. Five QTL for strength were identified explaining20.43%-36.66%of the phenotypic variance. Three QTL for maturity were identifiedexplaining23.65%-24.65%of the phenotypic variance. Five QTL for short fiber indexwere identified explaining22.32%-24.37%of the phenotypic variance. These QTLwere validated by BC4F2segregating population derived from the cross of TM-1, andAcala SJ. The QTL mapped results indicated:1QTL for fiber strength as major QTLwas tested with a same interval (NAU5379-NAU1125) on chromosome24, explaining20.14%of the phenotypic variance.
2. A total of358of1980SSR primers scaned polymorphism between CRI8andPima90-53, acconting for18.08%of the tatal primers. The rest358polymorphicprimer pairs amplified370loci. A total of579loci were used to reconstruct geneticlinkage groups with LOD value of4.0and maximum distance of50.0cM. A χ2-test forthe579SSR loci shown120loci (20.72%) deviated from the Mendel ratio (1:1).579marker loci mapped into56linkage groups with an average distance between adjacentmarkers of7.2cM and covered4168.72cM. The length of linkage groups rangedfrom1.25to255.79cM and the markers on the groups ranged from two to44.Forty-three of56linkage groups were assigned to26chromosomes and13unknownlinkage groups. Based on the reconstructed genetic map of tetraploid cotton, QTL forfiber quality traits were tested to employ composite interval mapping (CIM) methodby phenotypic data from BC1population and BC1F2family lines. Forty-seven QTL forfiber quality traits were detected on18chromosomes. Six QTL for fiber elongationwere identified, explaining8.91%-23.73%%of the phenotypic variance. Eight QTLfor fiber length were identified, explaining9.33%-22.58%of the phenotypic variance.Nine QTL for length uniformity were identified, explaining8.35-20.85%of thephenotypic variance. Fourteen QTL for micronaire were identified, explaining7.72%-20.94%of the phenotypic variance. Ten QTL for strength were identifiedexplaining10.44%-16.55%of the phenotypic variance. qFS9-1and qFS9-2weredetected with a same marker interval on A9chromosome in two environments (atBaoding and Xinji in2008)，explaining15.71%and14.42%of the phenotypicvariance. qFU5-1and qFU5-2were detected with a same marker (NAU3828) on A5chromosome in two environments (at Baoding and Xinji in2008). qFS14-1were detected with a TDF marker (TCG/GTT-272). Among the47QTLdetected,27alleles additive effects that decreased fiber quality traits were offered byCRI8, and furthermore,16alleles with positive additive effects and4alleles withnegative additive effects that increased fiber quality traits were offered by Pima90-53.These QTL were validated by BC1and F2segregating population derived from thecross of Han208, and Pima90-53. The QTL mapped results indicated: one QTL forfiber strength as major QTL was tested with a same interval (NAU2395-NAU1092) onchromosome9.
3. The ninty-two QTL for fiber quality traits in cotton, collected from differentpopulations (BC1and BC1F2), were used to construct QTL integrated map usingbioinformation and meta-analysis methods with BC1map as refrence. The fivehundred ninty-nine marker loci mapped into26chromosomes with an average distancebetween adjacent markers of5.96cM and covered3571.9cM. Sixty-three QTL wereintegrated into refrence map. The twelve QTL for fiber length were detected on1,7,11,14,16,21and22chromosomes, respectively. The ninteen QTL for micronairewere detected on1,5,7,12,14,16and24chromosomes, respectively. The seven QTLfor fiber elongation were detected on1,9,13,19and24chromosomes, respectively.The fourteen QTL for fiber strength were detected on3,5,9,14,16,18,20and22chromosomes, respectively. The eleven QTL for fiber uniformity were detected on5,9,11,16,18,20and21chromosomes, respectively. The thirty MQTL were mapped on15chromosomes by meta-analysis method. The major MQTL9-1, located at62.16cMon chromosome9could explain17.16%of phenotypic variance to5fiber strengthtraits derived from two populations, confidence interval from45.7cM to63.1cM. Themajor MQTL16-1, located at29.92cM on c16could average explain12.28%ofphenotypic variance to10fiber traits derived from two populations, confidenceinterval from45.7cM to63.1cM. Two major MQTL18-1and MQTL24-2weremapped on chromosome18and24, respectively. The integration of research resultsfrom the same QTL, confidence interval was less than10cM, and the contribution rateis greater than10%. The other MQTL called minor-effect QTL, because confidenceinterval was more than20cM.
1、以3980对SSR引物、238对SRAP组合引物和85对TRAP组合引物对亲本TM-1和渝棉1号进行多态性筛选，共获得288对多态性引物，多态性比例为6.69%。本研究最终用于陆地棉种内图谱构建的SSR标记位点数为103个，SRAP和TRAP标记位点34个。图谱构建的连锁测验标准LOD值大于等于8.0，最大连锁距离设为50cM。119个多态性标记位点定位到26个连锁群上，标记间平均遗传距离为5.50cM，连锁图谱覆盖654.1cM，约占棉花基因组的14.70%。所得连锁群可以定位到14条染色体和3条未知连锁群上。通过复合区间作图法（CIM）对Pop1群体纤维品质性状进行QTL定位，共获得31个与纤维品质性状相关的QTL，其中纤维伸长率相关6个、纤维长度7个、马克隆值4个、纤维比强度5个、纤维整齐度1个、成熟度指数3个、短纤维指数5个，贡献率分别为17.77%-24.70%、14.01%-24.67%、22.57%-24.19%、20.43%-36.66%、22.9%、23.65%-24.65%、22.32%-24.37%。利用Pop2群体验证Pop1定位获得的QTL，研究结果表明，在染色体24上发现1个与比强度相关的QTL与Pop1中相同位置的QTL具有相同的标记区间（NAU5379-NAU1125），贡献率为20.14%。
2、基于本实验室前期构建的[(中棉所8号×Pima90-53)×中棉所8号] BC1遗传图谱，标记位点209个。在此基础上增加了370个标记位点，通过作图软件MAPMAKER3.0对标记进行连锁分析，连锁图谱包含579个标记位点（LOD=4.0，最大遗传距离为50cM），56个连锁群，标记间平均距离为7.2cM，覆盖全基因组4168.72cM。43个连锁群通过204个锚定标记被分配到26条染色体上，13个连锁群未被定位在特定染色体上，暂时命名为unknown1~13。采用卡方(χ2)测验判断标记是否偏离（1:1）孟德尔分离比例。结果表明：579个标记位点中包含120个偏分离标记，占总标记数的20.72%。45个TDFs被定位在14条染色体和7条未知连锁群中。通过复合区间作图法（CIM）对纤维品质性状的重新定位，共获得47个与纤维品质相关的QTL，分布在18条染色体上。其中6个与纤维伸长率相关的QTL，可解释的表型变异为8.91%-23.73%；8个与纤维长度相关的QTL，可解释的表型变异为9.33%-22.58%；14个与马克隆值相关的QTL，可解释的表型变异为7.72%-20.94%；10个与纤维比强度相关的QTL，可解释的表型变异为10.44%-16.55%；9个与纤维整齐度相关的QTL，可解释的表型变异为8.35%-20.85%。染色体9上在不同环境（2007BD和2008XJ）同时定位获得两个与纤维比强度相关的QTL（qFS9-1和qFS9-2），加性效应均为正值，可解释的表型变异达显著水平，分别为15.71%和14.42%。染色体14上定位获得1个QTL，临近标记为TCG/GTT-272（TDF位点），加性效应为2.3324，可解释的表型变异为14.32%。qFU5-1和qFU5-2位于染色体5上，享有共同标记NAU3828，在2008年河北保定和辛集两个环境分别被检测到。47个与纤维品质性状相关的QTL，其中16个QTL的加性效应均为正值，4个均为负值，增效基因来源于海岛棉Pima90-53，起到提高纤维品质的作用；27个QTL的增效基因来自陆地棉中棉所8号。利用邯郸208和Pima90-53组配的176个单株的F2和350个单株的BC1群体验证[(中棉所8号×Pima90-53)×中棉所8号] BC1群体定位获得的纤维比强度QTL (qFS9-1和qFS9-2），结果发现分别在邯郸208和Pima90-53的F2和BC1群体中定位获得1个纤维比强度QTL，与qFS9-1和qFS9-2具有相同的标记区间(NAU2395-NAU1092)。
3、通过整合本试验室由陆地棉中棉所8号和海岛棉Pima90-53组配的BC1和BC1F2两个群体的92个纤维品质性状相关的QTL，构建了1张只包含BC1和BC1F2两个群体63个纤维品质相关性状QTL的整合图谱。整合图谱包含599个标记位点，覆盖全基因组3571.9cM，标记间平均距离为5.96cM，包含26条染色体。其中12个与纤维长度相关，分别整合于染色体1、7、11、14、16、21和22上；19与马克隆值相关，分别整合于染色体1、5、7、12、14、16和24上；7个与纤维伸长率相关，分别整合于染色体1、9、13、19和24上；14与纤维比强度相关，分别整合于染色体3、5、9、14、16、18、20和22上；11个与整齐度相关，分别整合于染色体5、9、11、16、18、20和21上。通过软件BioMercator2.1的meta-analysis功能分析，在15条染色体上共获得30个与纤维品质相关的MQTL。其中染色体9上的MQTL9-1整合了2个研究的6个QTL，位于62.16cM处，以5个纤维比强度性状为主，置信区间为17.43cM （45.7-63.1），贡献率为17.16%；在染色体16上控制纤维品质性状的MQTL16-1位于29.92cM处，置信区间为14.1cM（22.87-36.97），平均贡献率为12.28%，分别整合了来自2个研究的10个QTL；染色体18、24中的MQTL18-1和MQTL24-2，分别整合了来自同一研究结果的QTL，置信区间均小于10cM，且贡献率均大于10%。其他染色体获得的MQTL由于置信区间大于20cM暂定为微效QTL。
Cotton is an important cash crop in the world. The improvement of cotton fiberquality is becoming extremely significant with the innovation of spinning technology.Although more and more QTL for fiber quality related traits have been developed, theaccuracy and validity of these QTL are not always effective in different populations, fordifferent traits, or by different method of data analysis. It is very important to obtain thereal and effective QTL, which would provide great significance for map cloning andmolecular marker assisted selection. In the present study, the main concepts were shown asfollows:(1) QTL for fiber quality related traits were tested by the first advance backcrossBC4F2segregating population derived from the cross of TM-1, a genetic standard line ofupland cotton, and Yumian1, a high quality cotton cultivar. Subsequently, these QTL forfiber quality traits were identified by the second BC4F2segregating population derivedfrom the cross of TM-1and Acala SJ.(2) BC1population with95plants from a crossbetween Gossypium hirsutum cv. CRI8and G. barbadense cv. Pima90-53was employed toreconstruct genetic linkage map by519SSRs,2CISPs and156Apo I/Taq I selectiveprimer combinations. Then, QTL for fiber quality traits was recalculated by compositeinterval mapping (CIM).(3) In order to excavate the “consensus” QTL and QTL “hotregion” in these independent experiments, QTLQTL for fiber quality traits in cotton，collected from different publications,were used to construct new QTL integrated map usingbioinformation and meta-analysis methods with BC1map as refrence.
The main results were summarized as follows：
1. In total,3,980SSR primers,238pairs SRAP and85pairs TRAP were used to screenthe polymorphism among Yumian1and T586，and288polymorphic primer pairs wereobtained, acconting for5.32%of the tatal primer pairs. The polymorphic primer pairsproduced119loci when they were used to genotype the158BC4F2individuals of[(TM-1×Yumian1)×TM-1]. One hundred ninteen loci were used to construct geneticlinkage groups with LOD value of8.0and maximum distance of50.0cM. The mapcomprised of119marker loci mapped into26linkage groups withan average distancebetween adjacent markers of5.5cM and covered654.1cM. Twenty-three of26linkage groups were assigned to14chromosomes and3unknown linkage groups.Based on the newly constructed genetic map of tetraploid cotton, QTL for fiber qualitytraits were identified to use composite interval mapping (CIM) method by phenotypic data from BC4F2population, BC4F2:3and BC4F2:4family lines. Thirty-one QTL forfiber quality traits were detected on5chromosomes. Six QTL for fiber elongationwere identified, explaining17.77%-24.70%of the phenotypic variance. Seven QTLfor fiber length were identified, explaining14.01%-24.67%of the phenotypic variance.One QTL for length uniformity were identified, explaining22.9%of the phenotypicvariance. Four QTL for micronaire were identified, explaining22.57%-24.19%of thephenotypic variance. Five QTL for strength were identified explaining20.43%-36.66%of the phenotypic variance. Three QTL for maturity were identifiedexplaining23.65%-24.65%of the phenotypic variance. Five QTL for short fiber indexwere identified explaining22.32%-24.37%of the phenotypic variance. These QTLwere validated by BC4F2segregating population derived from the cross of TM-1, andAcala SJ. The QTL mapped results indicated:1QTL for fiber strength as major QTLwas tested with a same interval (NAU5379-NAU1125) on chromosome24, explaining20.14%of the phenotypic variance.
2. A total of358of1980SSR primers scaned polymorphism between CRI8andPima90-53, acconting for18.08%of the tatal primers. The rest358polymorphicprimer pairs amplified370loci. A total of579loci were used to reconstruct geneticlinkage groups with LOD value of4.0and maximum distance of50.0cM. A χ2-test forthe579SSR loci shown120loci (20.72%) deviated from the Mendel ratio (1:1).579marker loci mapped into56linkage groups with an average distance between adjacentmarkers of7.2cM and covered4168.72cM. The length of linkage groups rangedfrom1.25to255.79cM and the markers on the groups ranged from two to44.Forty-three of56linkage groups were assigned to26chromosomes and13unknownlinkage groups. Based on the reconstructed genetic map of tetraploid cotton, QTL forfiber quality traits were tested to employ composite interval mapping (CIM) methodby phenotypic data from BC1population and BC1F2family lines. Forty-seven QTL forfiber quality traits were detected on18chromosomes. Six QTL for fiber elongationwere identified, explaining8.91%-23.73%%of the phenotypic variance. Eight QTLfor fiber length were identified, explaining9.33%-22.58%of the phenotypic variance.Nine QTL for length uniformity were identified, explaining8.35-20.85%of thephenotypic variance. Fourteen QTL for micronaire were identified, explaining7.72%-20.94%of the phenotypic variance. Ten QTL for strength were identifiedexplaining10.44%-16.55%of the phenotypic variance. qFS9-1and qFS9-2weredetected with a same marker interval on A9chromosome in two environments (atBaoding and Xinji in2008)，explaining15.71%and14.42%of the phenotypicvariance. qFU5-1and qFU5-2were detected with a same marker (NAU3828) on A5chromosome in two environments (at Baoding and Xinji in2008). qFS14-1were detected with a TDF marker (TCG/GTT-272). Among the47QTLdetected,27alleles additive effects that decreased fiber quality traits were offered byCRI8, and furthermore,16alleles with positive additive effects and4alleles withnegative additive effects that increased fiber quality traits were offered by Pima90-53.These QTL were validated by BC1and F2segregating population derived from thecross of Han208, and Pima90-53. The QTL mapped results indicated: one QTL forfiber strength as major QTL was tested with a same interval (NAU2395-NAU1092) onchromosome9.
3. The ninty-two QTL for fiber quality traits in cotton, collected from differentpopulations (BC1and BC1F2), were used to construct QTL integrated map usingbioinformation and meta-analysis methods with BC1map as refrence. The fivehundred ninty-nine marker loci mapped into26chromosomes with an average distancebetween adjacent markers of5.96cM and covered3571.9cM. Sixty-three QTL wereintegrated into refrence map. The twelve QTL for fiber length were detected on1,7,11,14,16,21and22chromosomes, respectively. The ninteen QTL for micronairewere detected on1,5,7,12,14,16and24chromosomes, respectively. The seven QTLfor fiber elongation were detected on1,9,13,19and24chromosomes, respectively.The fourteen QTL for fiber strength were detected on3,5,9,14,16,18,20and22chromosomes, respectively. The eleven QTL for fiber uniformity were detected on5,9,11,16,18,20and21chromosomes, respectively. The thirty MQTL were mapped on15chromosomes by meta-analysis method. The major MQTL9-1, located at62.16cMon chromosome9could explain17.16%of phenotypic variance to5fiber strengthtraits derived from two populations, confidence interval from45.7cM to63.1cM. Themajor MQTL16-1, located at29.92cM on c16could average explain12.28%ofphenotypic variance to10fiber traits derived from two populations, confidenceinterval from45.7cM to63.1cM. Two major MQTL18-1and MQTL24-2weremapped on chromosome18and24, respectively. The integration of research resultsfrom the same QTL, confidence interval was less than10cM, and the contribution rateis greater than10%. The other MQTL called minor-effect QTL, because confidenceinterval was more than20cM.
引文
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