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1.
本研究利用岗46B/A232构建的重组自交系(F10)176个家系为作图群体,运用QTL Ici Mapping4.0软件对2016和2017年RIL群体的粒形性状和千粒重性状进行QTL检测及其遗传效应分析。结果表明,两年共检测到28个粒形和粒重QTL,分别分布在第1、第2、第3、第4、第5、第6、第8、第9和第12染色体上。其中粒长相关QTL 10个,贡献率为4.90%~31.96%;粒宽相关QTL 6个,贡献率为3.38%~48.76%;谷粒长宽比相关QTL 9个,贡献率为5.70%~30.32%;粒厚相关QTL 6个,贡献率为6.06%~34.09%;千粒重相关QTL6个,贡献率为6.94%~21.22%。本研究中,有9对QTL两年均在同一位置被检测到:3对粒长QTL,1对粒宽QTL,1对谷粒长宽比QTL,2对粒厚QTL和2对千粒重QTL,说明他们受环境影响小,能稳定表达,可用于水稻分子标记辅助育种。第5染色体上RM1089~RM18119区间上稳定检测到控制粒长、粒宽、谷粒长宽比、粒厚和千粒重QTL,多数染色体的多处区段上均检测到一因多效性。  相似文献   

2.
利用4个姊妹近等基因群体定位水稻粒重和粒形QTL   总被引:1,自引:1,他引:0  
粒重是决定水稻产量的三要素之一。利用世界上粒重最大的品种之一SLG-1(供体亲本)与小粒品种日本晴(Nipponbare,轮回亲本)杂交,在各回交世代选择粒重较大单株与日本晴回交,构建水稻粒重和粒形的姊妹近等基因系(SNILs)。对获得的73 株BC4F1单株进行粒重频率分布统计,选择粒重频率分布在4个峰值处的代表性单株,自交获得4个BC4F2 SNILs群体。利用BSA法(分离群体分组混合分析法),从均匀分布在水稻染色体上的1 513对SSR标记中筛选出与粒重和粒形相关的多态性标记19对,以LOD≥2.5作为选择阈值,对粒重、粒长、粒宽和粒厚进行QTL扫描,共检测到6个区域的12个QTL,贡献率从7.22%到53.38%。这些QTL所在区域包含已克隆的粒长GS3和粒宽GW2,也包含没有精细定位的第2染色体的RM6318-RM1367、第3染色体的RM5477–RM6417和第6染色体的RM3370–RM1161等3个区域控制粒重和粒形的5个QTL。其中第3染色体上RM5477–RM6417区间存在粒形贡献率较大的新的QTL。构建含有这些粒重QTL的姊妹近等基因系,为进一步精细定位或克隆新的粒重或粒形QTL奠定了基础。  相似文献   

3.
利用极端材料定位水稻粒形性状数量基因位点   总被引:1,自引:0,他引:1  
利用极端大粒材料GSL156(千粒重71.9 g)与特小粒材料川七(千粒重12.1 g,轮回亲本)杂交、回交获得的BC2F2 216个个体为作图群体,在北京进行稻谷粒长、粒宽、粒厚、长宽比、千粒重等粒形性状的鉴定。采用单标记分析和复合区间作图法,利用SSR标记对粒形性状进行数量性状基因座检测。结果表明,上述粒形性状在BC2F2群体均呈正态连续分布,表现为由多基因控制的数量性状;共检测到与粒形性状相关的QTL 28个,分布于第1、2、3、4、5、6和12染色体上。其中qGL3-2、qGL3-3、qGT12-1、qGT2-1、qGT5-1、qGW1-1、qGW12-1、qGW2-1、qGW5-1、qRLW3-1、qTGW12-1、qTGW2-1、qTGW3-3和qTGW5-1对表型变异的贡献率分别为13.70%、52.51%、21.13%、18.79%、20.92%、14.59%、18.33%、30.03%、20.05%、24.53%、13.47%、11.43%、21.30%和15.68%,为主效QTL。其中,第3染色体上检测出来的QTL最多。在所有检测到的28个QTL中,6个QTL的增效等位基因来源于小粒亲本川七,而其余QTL的增效等位基因均来源于大粒亲本GSL156,基因作用方式主要表现为加性或部分显性。第3染色体RM7580~RM8208区间是分别与粒宽、长宽比和千粒重相关的3个主效QTL的共同标记区间,第2染色体的RM7636~RM5812区间、第5染色体的RM3351~RM26区间和第12号染色体的RM1103~RM17区间是分别与粒宽、粒厚和千粒重相关的3个主效QTL的共同标记区间,这些区间对粒形贡献率较大,为进一步精细定位或克隆这些新的粒重或粒形QTL奠定了基础。同时大粒亲本对稻谷粒长、粒宽、粒厚和千粒重等性状的增效作用显著。  相似文献   

4.
利用亲本宽叶恢复系R189和窄叶鄂晚10号杂交获得的F2群体剑叶宽进行QTL检测和剑叶形态性状相关性分析。结果表明:不同剑叶形态性状间存在极显著正相关。采用基于混合线性模型复合区间作图方法的QTL检测软件进行QTL定位,共定位到3个控制剑叶叶宽的QTL,分布于1号和7号染色体上,贡献率介于2.63%~31.1%,其中位于7号染色体RM346标记位点控制剑叶宽qFLW-7-2的贡献率最大,对改良剑叶宽性状具有重要育种价值。  相似文献   

5.
应用籼稻品种明恢86和佳辐占为亲本建立的F2群体及相应的SSR分子标记连锁图,用区间定位法的Additive和Free两种模型分别对水稻部分重要农艺性状和产量构成性状的QTL进行了定位分析.结果Additive模型共检测到3个QTL,均位于第1号染色体的RM1-RM283区间,分别控制水稻生育期、株高和每穗粒数,基因成簇分布.Free模型共检测到5个QTL,其中控制水稻生育期、株高和每穗粒数的3个QTL的位置和效应大小与Additive模型基本相同;另外还检测到2个影响结实率和千粒重的QTL分别位于第7号染色体的RM180-RM214和第2号染色体的RM279-RM154区间,其贡献率均较小.同时,分析比较了研究结果与前人不同的原因.  相似文献   

6.
利用4个姊妹近等基因系群体定位水稻粒重和粒形QTL   总被引:4,自引:2,他引:2  
粒重是决定水稻产量的三要素之一。利用世界上粒重最大的品种之一SLG-1(供体亲本)与小粒品种日本晴(Nipponbare,轮回亲本)杂交,在各回交世代选择粒重较大单株与日本晴回交,构建水稻粒重和粒形的姊妹近等基因系(SNILs)。对获得的73株BC4F1单株进行粒重频率分布统计,选择粒重频率分布在4个峰值处的代表性单株,自交获得4个BC4F2SNILs群体。利用BSA法(分离群体分组混合分析法),从均匀分布在水稻染色体上的1513对SSR标记中筛选出与粒重和粒形相关的多态性标记19对,以LOD≥2.5作为选择阈值,对粒重、粒长、粒宽和粒厚进行QTL扫描,共检测到6个区域的12个QTL,贡献率从7.22%到53.38%。这些QTL所在区域包含已克隆的粒长GS3和粒宽GW2,也包含没有精细定位的第2染色体的RM6318~RM1367、第3染色体的RM5477~RM6417和第6染色体的RM3370~RM1161等3个区域控制粒重和粒形的5个QTL。其中第3染色体上RM5477~RM6417区间存在粒形贡献率较大的新的QTL。构建含有这些粒重QTL的姊妹近等基因系,为进一步精细定位或克隆新的粒重或粒形QTL奠定了基础。  相似文献   

7.
利用TY319/8B的籼粳杂交F3群体的121个单株,对剑叶长、剑叶宽及剑叶长宽比3个性状进行QTL检测,同时利用116对共显性标记对作图群体进行偏分离分析。共定位到6个控制剑叶形态QTL,其中2个剑叶长QTL,3个剑叶宽QTL,1个剑叶长宽比QTL,分别位于第4、第6、第7、第8、第10染色体,LOD值介于2.51~3.44,解释表型变异贡献率介于5.53%~11.44%,所有QTL均为已经报道过的。偏分离结果显示:有39对标记表现为偏分离,占总标记数量的33.62%,同时检测到4个偏分离热点区域,即第1染色体上RM283~RM3738,第3如染色体上InDel8~InDel12,第6染色体上RM510~RM3183,第12染色体上RM1880~RM235。  相似文献   

8.
模拟干旱条件下水稻苗期形态性状的QTL定位   总被引:2,自引:2,他引:0  
以抗旱性差异较大的亲本小白粳子和空育131以及其后代180个F2∶3家系群体为试验材料,构建了包含99个SSR分子标记的遗传连锁图谱,利用浓度为15%PEG-6000模拟干旱胁迫条件.在两种条件下,共检测到影响胚芽鞘长、苗高、主根长和根数的QTL 26个,分别位于水稻的第1、2、3、4、5、6、7、8、12条染色体上,贡献率变幅在4.53%~37.22%之间.其中控制苗高的QTL11个,控制胚芽鞘长的QTL 5个,控制主根长的QTL 5个,控制根数的QTL 5个.在第2条染色体的RM1358-RM1347区间和第6条染色体上的RM461-RM162区间发现了控制多个性状的QTL,在第2条染色体的RM1358-RM1347区间和第8条染色体的RM1384-RM547区间还检测到了在两种条件下同时控制胚芽鞘长和主根长的QTL.  相似文献   

9.
利用D50/HB277衍生的由190个株系组成的F7重组自交系群体,在杭州和海南两种环境条件下对剑叶形态及稻米粒形进行QTL分析.共检测到控制上述性状29个QTL,分布于除第2和第11染色体以外的其它所有染色体,其中6个QTL在两种环境中同时被检测到且贡献率大于10%.第1、4和7染色体分别存在控制剑叶面积、剑叶宽度及稻米粒形等性状且贡献率较大的QTL区间,同时在上述区间还存在控制其它多个性状,表现为QTL成簇分布,并以此筛选了3个剩余杂合体,作为相关基因遗传分解、精细定位、克隆及分子设计育种的候选区域.  相似文献   

10.
普通菜豆籽粒大小与形状的QTL定位   总被引:1,自引:0,他引:1  
耿庆河  王兰芬  武晶  王述民 《作物学报》2017,43(8):1149-1160
普通菜豆是世界上最重要的食用豆类作物之一,其籽粒大小和形状与产量及外观品质密切相关。本研究以来自安第斯基因库的大粒品种龙270709和来自中美基因库的小粒品种F5910配置杂交组合,获得的F2分离群体分别在哈尔滨大田与北京昌平温室种植,对百粒重、粒长、粒宽、粒厚、长宽比和长厚比6个籽粒性状进行了相关性分析和QTL定位。相关性分析表明,百粒重与粒长、粒宽、粒厚、长宽比、长厚比5个衡量籽粒大小和形状的性状均显著正相关。利用基于完备区间作图方法的Ici Mapping 4.1进行QTL定位,哈尔滨环境下定位到38个与百粒重、粒长、粒宽、粒厚、长宽比、长厚比相关的QTL,表型贡献率介于2.39%~17.37%之间,分布在除第1染色体外的其余10条染色体上;北京昌平环境下定位到21个上述性状的QTL,表型贡献率介于5.92%~22.53%之间,分布在第1、第3、第6、第7、第8、第9和第11染色体上。其中,百粒重QTLSW7与SW7’,SW6.1与SW6’,粒长QTLSL6.1与SL6.1’,粒厚QTLSH11与SH11’在2个环境下的标记区间重叠或者重合,SW7、SW6.1、SL6.1、SW6’和SL6.1’的表型贡献率在10%以上。  相似文献   

11.
以耐旱性差异较大的两个亲本珍汕97B(ZS97B)和IRAT109构建的重组自交系(RIL)为试验材料,在正常水分条件和干旱胁迫[浓度为18%的聚乙二醇-6000(PEG-6000)模拟干旱]条件对水稻苗期苗高、根长、苗高生长速率、根长苗高比、叶卷曲进行QTL定位分析,共检测到24个相关的QTL,贡献率变幅在7.35%~39.30%。其中正常条件下检测到13个相关的QTL位点,分布在第1、2、3、5、6、10、12染色体上;干旱胁迫条件下检测到11个相关的QTL位点,分布在第1、3、5、7、10、12染色体上。2种条件下检测到的QTL位点差异很大,表明不同处理条件下相关性状的遗传机制不同。此外,在第1染色体上的RM472~RM104存在控制苗高、苗高生长速率、根长、根长苗高比多个性状的QTL,并且此区间在2种处理条件下能重复检测到控制苗高位点。  相似文献   

12.
Grain size is a main component of rice appearance quality. In this study, we performed the SSR mapping of quantitative trait loci (QTLs) controlling grain size (grain length and breadth) and shape (length/breadth ratio) using an F2 population of a cross between two Iranian cultivars, Domsephid and Gerdeh, comprising of 192 individuals. A linkage map with 88 markers was constructed, which covered 1367.9 cM of the rice genome with an average distance of 18 cM between markers. Interval mapping procedure was used to identify the QTLs controlling three grain traits, and QTLs detected were further confirmed using composite interval mapping. A total of 11 intervals carrying 18 QTLs for three traits were identifed, that included five QTLs for grain length, seven QTLs for grain breadth, and six QTLs for grain shape. A major QTL for grain length was detected on chromosome 3, that explained 19.3% of the phenotypic variation. Two major QTLs for grain breadth were mapped on chromosomes 3 and 8, which explained 34.1% and 20% of the phenotypic variation, respectively. Another two major QTLs were identified for grain shape on chromosomes 3 and 8, which accounted for 27.1% and 20.5% of the phenotypic variance, respectively. The two QTLs that were mapped for grain shape coincided with the major QTLs detected for grain length and grain breadth. Intrestingly, gs2 QTL specific to grain shape was detected on chromosome 2 that explained 15% of the phenotypic variation.  相似文献   

13.
利用染色体片段代换系定位水稻叶片形态性状QTL   总被引:1,自引:0,他引:1  
水稻叶片形态是理想株型的重要组成部分,控制叶片形态基因的挖掘对于塑造水稻理想株型,实现水稻超高产目标具有重要意义。本研究利用广陆矮4号为受体亲本,日本晴为供体亲本构建的一套染色体片段代换系,对水稻上三叶(倒一叶、倒二叶和倒三叶)形态性状与单株籽粒产量进行了相关性分析,并开展了相关QTL定位。结果表明,除剑叶宽外,水稻上三叶的叶长、叶宽都与单株产量呈极显著正相关。同时,通过单因素方差分析和Dunnett’s多重比较,在两年间重复检测到20个控制叶形的QTL,其中叶长QTL 13个(8个表现正向效应,5个表现负向效应);叶宽QTL 7个(4个表现正向效应,3个表现负向效应)。这些QTL的鉴定为水稻叶形性状的分子改良提供了重要遗传信息。  相似文献   

14.
One hundred and ninety-seven wheat accessions from Yellow and Huai Winter Wheat Region (YHW) were evaluated for differences of 14 agronomic traits under low- and high-density plantings. Compared with the high-density plantings, plant height, neck length, uppermost internode length, flag leaf angle and number of sterile spikelets under the low-density plantings reduced, while heading date, flowering date, flag leaf length and width, spike length, number of fertile spikelets, grain number per spike, thousand-kernel weight and grain weight per spike increased. A total of 1,118 markers were detected based on GWAS, and seven QTLs were confirmed. One QTL on chromosomes 5BL and two other QTLs on 5Dl were all tightly associated with flowering date difference. Bioinformatics analysis revealed that two haploblocks in 5Dl were involved, and the Vrn-D1 locus was located in this interval. A region on chromosome 5B at around 531.5 Mb was significantly associated with plant height difference. Two QTLs including AX-94840438 (7BL) and AX-94563647 (7DS) were responsible for neck length or uppermost internode length difference.  相似文献   

15.
Increasing crop productivity is one of the prime goals of crop breeding research. Rice grain yield is a complex quantitative trait governed by polygenes. Although several QTLs governing grain yield traits have been reported and limited attempts have been made to map QTLs for grain yield parameters in Basmati rice. A population from the cross Sonasal and Pusa Basmati 1121 comprising 352 RILs was generated through the single seed descent method. A total of 12 QTLs governing yield and yield-related traits were mapped on six chromosomes, namely, 1, 2, 3, 7, 8 and 9, of which five QTLs were novel. We identified a novel and robust epistatic QTL (qPH1.1 and qPL1.1) governing plant height and panicle length, flanked by the markers RM5336-RM1 on chromosome 1. The gene encoding brassinosteroid insensitive 1-associated receptor kinase 1 precursor is the putative candidate gene underlying this epistatic QTL. Another novel QTL, qNT3.1, governing tiller number was bracketed to a region of .77 Mb between the markers RM15247 and RM15281 on chromosome 3. Of the 57 annotated gene models, Os03g0437600 encoding alpha/beta-fold hydrolase, a homologous to AtKai2 is a putative candidate gene underlying the novel QTL qNT3.1. The other QTLs such as qDFF1.1 governing days to 50% flowering co-localizes with the gene Ghd7, QTL for plant height qPH1.2 co-localizes with the gene sd1, the QTLs for panicle length co-localizes with FUWA and DEP2, the QTL for tiller number co-localizes with OsRLCK57 and QTLs for thousand-grain weight co-localize with the major gene GS3. The QTLs identified in the current study can be effectively used in marker-assisted selection for developing Basmati rice varieties with a higher yield.  相似文献   

16.
张玲  李晓楠  王伟  杨生龙  李清  王嘉宇 《作物学报》2014,40(12):2128-2135
以南方籼型杂交稻恢复系泸恢99和北方粳型超级稻沈农265杂交衍生的重组自交系群体(recombinant inbred lines, RILs)为试验材料, 对株型性状(株高、穗长、分蘖和叶片性状)进行不同环境下的数量性状基因位点(quantitative trait locus, QTL)分析。共检测到39个相关QTL, 分布在水稻第1、第2、第3、第6、第7、第8和第9染色体上, LOD值介于2.50~16.90之间, 有11个QTL能在两年中被检测到。株型相关的QTL在染色体上成簇分布, 主要分布于第1、第6和第9染色体上, 这可能与株型性状间显著或极显著相关有关。其中, 在第9染色体上RM3700B–RM7424区间存在1个QTL簇, 含4个QTL, 即qPH9、qPL9、qFLL9和qSLL9, 这4个QTL在两年中均被检测到。此外, 进一步鉴定出5个能稳定表达的QTL, 其中, qPH8、qFLW6和qSLW6效应较大。这些信息综合反映了株型相关性状遗传的复杂性, 有助于我们更全面地了解和掌握株型性状的遗传基础。  相似文献   

17.
To study the genetic basis of rice flag leaf morphology, quantitative genetic analysis was conducted in a population of 37 chromosome segment substitution lines (CSSLs) of indica elite variety ‘Habataki’ in the background of japonica cultivar ‘Sasanishiki’ across three different environments. The CSSLs showed normal distribution with transgressive segregation, indicating that these four traits are controlled by polygenes. Moreover, analyses of variance showed that these traits were highly influenced by the growing environment, which are typical for polygenic quantitative traits. Seven quantitative trait loci (QTLs) on four chromosomes were detected in total: four for flag leaf width, one for flag leaf area and two for flag leaf angle. Two key QTLs, qFLW4 and qFLAG5 controlling flag leaf width and angle, respectively, were identified in all three environments. These QTLs could provide useful information for marker‐assisted selection in improving the performance of plant architecture with regard to leaf angle and area. Moreover, developed CSSLs with these QTLs information are also useful research materials to reveal the importance of leaf morphology in relation to grain yield.  相似文献   

18.
Drought resistance is becoming an indispensable character for rice improvement due to the dwindling global water resources. Genetic improvement for drought resistance is achieved through physiological dissection and genetic analysis of independent component traits associated with crop productivity under stress. A subset mapping population of 93 near flowering recombinant inbred lines with uniform phenology was constituted for genetic analysis of reproductive stage drought resistance. The population was phenotyped for 22 physio-morphological traits under two contrasting water regimes imposed at reproductive stage. Broad sense heritabilities of morphological traits were lower under stress than irrigated. Predominant association of plant height, panicle exsertion and harvest index with grain yield were observed under stress. The sustenance of panicle exsertion through maintaining growth during moisture stress was found as a significant trait associated with the grain yield through minimizing spikelet sterility. Selective genotyping was carried out with 23 polymorphic microsatellite markers of the established target genomic regions for drought resistance. The study validated the association of a QTL region on the long arm of chromosome 1 with plant height, panicle length, panicle exsertion, biological yield and stomatal conductance under stress. This region, flanked by markers RM246 and RM315, was known to possess the semi-dwarf gene, sd-1. Role of another major interval lying between RM256 and RM149 on chromosome 8 in defining the drought resistance could be established through identification of QTLs associated with leaf rolling, panicle exsertion, plant height, panicle length, senescence and biological yield under moisture stress condition. Few other QTLs were also identified.  相似文献   

19.
利用BC2F2高代回交群体定位水稻籽粒大小和形状QTL   总被引:1,自引:0,他引:1  
以我国优良籼稻恢复系蜀恢527为轮回亲本, 以来自菲律宾的Milagrosa为供体亲本, 培育了样本容量为199株的BC2F2高代回交群体。选取85个均匀分布在12条染色体上的多态性SSR标记进行基因型分析, 同时对粒长、粒宽、长宽比和千粒重4种性状进行了表型鉴定。采用性状-标记间的单向和双向方差分析对上述性状进行了QTL定位。单向方差分析(P<0.01)共检测到了10个控制粒长、粒宽、长宽比和千粒重的QTL, 其中有3个具有多效性。由于粒长和长宽比的高度相关性, 控制长宽比的2个QTL均能在粒长QTL中检测到。位于第3染色体着丝粒区域的qgl3b是一个控制粒长、长宽比和千粒重的主效QTL, 它可以分别解释粒长、长宽比和千粒重表型变异的29.37%、26.15%和17.15%。该QTL对于粒长、长宽比和千粒重均表现较大的加性效应(来自蜀恢527的等位基因为增效)和负向超显性。位于第8染色体的qgw8位点是一个控制粒宽的主效QTL, 同时也是控制千粒重的微效QTL, 能解释粒宽表型变异的21.47%和千粒重表型变异的5.16%。该QTL对粒宽和千粒重均具有较大的加性效应(来自蜀恢527的等位基因为增效)和正向部分显性。双向方差分析(P<0.005)共检测到61对显著的上位性互作, 涉及54个QTL, 其中23个是能同时影响2~4个性状的多效位点, 且有8个位点与单向方差分析检测到的相同。控制长宽比的13对上位性互作位点中, 与控制粒长的上位性互作位点完全相同的有8对。以上结果为进一步开展水稻籽粒大小和形状有利基因的精细定位、克隆和分子设计育种奠定了基础。  相似文献   

20.
不同盐浓度胁迫下小麦苗期苗高和主根长的QTL分析   总被引:3,自引:0,他引:3  
小麦苗期苗高和主根长是鉴定小麦苗期耐盐性的重要指标。利用小麦品种花培3号×豫麦57获得的DH群体168个株系,在去离子水(对照)以及50,100,200 mmol/L NaCl溶液处理下,进行苗高和主根长的数量性状基因(QTL)定位分析。利用完备区间作图法,共检测到影响苗高和主根长的25个QTL,单个QTL对表型的贡献率为4.19%~23.72%。位于3D染色体区间Xgdm72-Xbarc1119上影响主根长的QTL位点具有最大的遗传效应,贡献率为23.72%;在100 mmol/L和50 mmol/L NaCl处理下,在2D染色体Xwmc170.2-Xgwm539区段,同时检测到影响苗高的2个QTL位点,其贡献率分别为12.59%和8.40%;在100 mmol/L和200 mmol/L NaCl处理下,在4D染色体Xc-fa2173-Xcfe188区段,同时检测到影响主根长的2个QTL位点,其贡献率分别为8.77%和5.70%;在对照和100mmol/L NaCl溶液处理下,在5BL染色体Xgwm213-Xswes861.2区段,同时检测到影响苗高的QTL位点,其贡献率分别为17.49%和6.28%。另外,在50 mmol/L NaCl溶液处理下,4B染色体Xwmc657-Xwmc48区段还定位了1个影响苗高的QTL位点,其贡献率为12.59%;在染色体3A和染色体7D上各检测出与主根长有关的1个不同的QTL;在5A染色体Xbarc358.2-Xgwm186和Xcwem40-Xbarc358.2区间分别检测到1个影响苗高的QTL。这些主效QTL可用于苗高和主根长的分子标记辅助选择。  相似文献   

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