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1.
水稻粒形性状的上位性和QE互作效应分析   总被引：4，自引：0，他引：4  
本研究利用基于明恢86×佳辐占水稻重组自交系(recombinant inbred line,RIL)构建的SSR遗传图谱,总标记数为131.联合两季的稻米粒长(GL)、粒宽(GW)、长宽比(L/W)表型数据,应用混合线性模型方法进行QTL定位,并作加性效应、上位效应以及加性QTL、上位性QTL与环境(QTL-by-environment,QE)的互作效应分析.检测到粒长、粒宽和长宽比的加性效应QTLs分别为6个、4个和4个,贡献率分别为23.67%、21.41%和25.78%;检测到8对粒长的上位性QTLs,5对粒宽的上位性QTLs,2对长宽比的上位性QTLs,贡献率分别为16.75%、22.36%和7.55%;环境互作检测中,发现共有9个加性QTLs和7对上位性QTLs与环境发生了互作.结果表明,上位效应在粒形性状的遗传与加性效应一样起了重要作用,环境互作效应对粒形性状有一定的影响.  相似文献   

2.
[目的]为从分子水平上解析玉米穗长、穗粗和籽粒深度的遗传基础,[方法]以豫82×豫87-1衍生的一套重组近交系(RIL)群体为材料,通过多点的表型鉴定,采用SNP标记构建的遗传连锁图谱进行QTL定位及上位性效应分析,[结果]结果表明,3个穗部性状共检测到的18个QTL,这些QTL与环境的互作均未达到显著水平,说明所检测到的控制穗长、穗粗和粒深的QTL在三个环境间的遗传是稳定的。在这些QTL中,位于第1染色体调控穗长的qEL1-1和第2染色体调控粒深的qKD2-1、qKD2-2,分别解释表型变异的6.11%和10.22%、8.88%,说明这三个主效QTL是调控穗部性状的重要区域。上位性效应分析结果表明,共检测到三对位点间互作,互作效应为1.23%~6.54%,其中有一对位点属于显著QTL位点对互作。[结论]由此可见,上位性互作效应在穗部性状的遗传中占有一定的比例,但作用比重相对较小。这些研究结果为进一步图位克隆相关关键基因及分子标记辅助育种提供了重要的参考价值。  相似文献   

3.
水稻幼苗耐Mn2+胁迫的QTL及其互作检测   总被引：1，自引：0，他引：1  
用珍汕97B/密阳46构建RIL(recombinant inbred line)群体及其遗传图谱,采用纸培法育苗和培养,以基本营养液为对照(CK),100 mg/L Mn2 为胁迫处理,用培养20 d的幼苗感Mn2 指数[(对照苗高-处理苗高)/对照苗高×100]作为评价指标,进行耐Mn2 胁迫的主效应和上位性效应QTL检测.结果表明,RIL群体幼苗生长受Mn2 胁迫的抑制作用明显,株系间对其胁迫反应差异较大.试验共检测到2个与耐Mn2 胁迫有关的主效应QTL (1RMC-5和qRMC-6-2),表型贡献率分别为6.03%和6.82%,耐Mn2 胁迫有效基因均来自于父本密阳46.试验还对幼苗耐Mn2 胁迫的上位性互作进行分析,检测到5对上位性效应QTL,涉及第1、2、3、6、7、9和10等7条染色体,总表型贡献率达28.69%,表明幼苗耐Mn2 胁迫的上位性QTL不仅普遍存在,且对耐Mn2 有良好的效果.  相似文献   

4.
大豆籽粒硬实加性和上位性QTL定位   总被引：2，自引：0，他引：2  
硬实是植物种子的普遍特性, 是影响大豆种子发芽率、生存能力及储存期的重要数量性状, 同时影响着大豆的加工品质。本实验通过对大豆籽粒硬实性状的加性和上位性互作QTL (quantitative trait locus)分析, 明确控制大豆籽粒硬实的重要位点及效应, 旨在为进一步解析硬实性状复杂的遗传机制提供理论依据。以冀豆12和地方品种黑豆(ZDD03651)杂交构建的包含186个家系的F6:8和F6:9重组自交系群体为材料, 采用WinQTL Cartographer V. 2.5的复合区间作图法(composite interval mapping, CIM)定位不同年份的籽粒硬实性状相关的加性QTL, 同时采用IciMapping 4.1软件中的完备区间作图法(inclusive composite interval mapping, ICIM)检测籽粒硬实性状的加性及上位性QTL。共检测到3个籽粒硬实性状相关的加性QTL, 分别位于第2、第6和第14染色体, 遗传贡献率范围为5.54%~12.94%。同时检测到4对上位性互作QTL, 分别位于第2、第6、第9、第12和第14染色体, 可解释的表型变异率为2.53%~3.47%。同时检测到籽粒硬实性状加性及上位性互作QTL, 且上位性互作多发生在主效QTL间或主效QTL与非主效QTL间, 表明上位性互作效应在大豆籽粒硬实性状的遗传基础中具有重要的作用。  相似文献   

5.
水稻幼苗耐Al3+胁迫的QTL定位分析   总被引：1，自引：1，他引：0  
用珍汕97B/密阳46构建RIL群体及其遗传图谱,对其种子采用纸培法育苗和培养,并设2个Al3+浓度（20 mg/L和30 mg/L）胁迫处理,以处理20 d后的幼苗相对根长（%）和相对苗高（%）为耐Al3+胁迫指标,用于QTL定位分析。结果表明,以相对根长为指标,检测到2个耐Al3+胁迫的主效应QTL,即qRAC(r)2和qRAC(r)11,其中qRAC(r)2在2个胁迫处理下均被检测到,有效基因来自于珍汕97B,贡献率较大（12.92%和16.15%）,表现出较强的耐Al3+胁迫功能。以相对苗高为指标,还检测到qRAC(s)11-2（20 mg/L Al3+）和qRAC(s)11-1（30 mg/L Al3+）2个主效应QTL,它们均位于第11染色体。耐Al3+胁迫的QTL上位性分析还表明,总的QTL上位性互作效应比主效应QTL的作用更大,且显示出相当的复杂性,在不同胁迫浓度下,基因间可以通过不同的互作方式,表现出对高Al3+胁迫的耐性。以相对根长为指标,检测到8对上位性互作,涉及1、2、3、5、6、10等6条染色体的15个QTL位点;以相对苗高为指标,共检测到6对上位性互作,涉及第1、2、3、5、6、7、8、9、12等9条染色体;且几乎所有互作均发生在背景因子的QTL位点间。  相似文献   

6.
大豆蛋白质含量相关QTL间的上位效应和QE互作效应   总被引：11，自引：1，他引：10  
利用Charleston×东农594重组自交系构建的SSR遗传图谱及混合线性模型方法对2002—2006连续5年的大豆蛋白质含量进行QTL定位,并作加性效应,加性×加性上位互作效应及环境互作效应分析。共检测到10个控制蛋白质含量的QTL,分别位于第B2、C2、D1a、E和N连锁群,其中1个表现为遗传正效应,9个表现为遗传负效应,另检测到15对影响蛋白质含量的加性×加性上位互作效应的QTL,解释该性状总变异的13.75%。环境互作检测中,发现9个QTL与环境存在互作,贡献率达到4.47%。  相似文献   

7.
以掖478×丹340的500个F2单株为作图群体,利用混合线性模型的复合区间作图法对397个F2： 3家系在5个生态环境下进行穗长的QTL定位分析.共检测到16个穗长QTL,单个QTL所解释的表型变异在0.15%～6.24%,累计贡献率为47.8%.在16个QTL中有10个与环境发生互作,占62.5%,贡献率在0.48%～3.78%之间.上位性互作检测到4对QTL,未检测到上位性QTL与环境互作.表明穗长受微效多基因的控制,易与环境发生互作,上位性互作在其遗传中起一定作用.  相似文献   

8.
大豆产量及主要农艺性状QTL的上位性互作和环境互作分析   总被引：2，自引：0，他引：2  
以栽培大豆晋豆23为母本,半野生大豆灰布支黑豆ZDD2315为父本杂交衍生的F2:15和F2:16的447个RIL家系为遗传群体,绘制SSR遗传图谱,采用混合线性模型方法,对2年大豆小区产量及主要农艺性状进行加性QTL、加性×加性上位互作及环境互作分析。结果检测到9个与小区产量、茎粗、有效分枝、主茎节数、株高、结荚高度相关的QTL,分别位于J_2、I、M连锁群上,其中小区产量、茎粗、株高、有效分枝和主茎节数QTL的加性效应为正值,说明增加这些性状的等位基因来源于母本晋豆23。同时,检测到7对影响小区产量、茎粗、株高和结荚高度的加性×加性上位互作效应及环境互作效应的QTL,共发现14个与环境存在互作的QTL。上位效应和QE互作效应对大豆小区产量及主要农艺性状的遗传影响较大。大豆分子标记辅助育种中,既要考虑起主要作用的QTL,又要注重上位性QTL,才有利于性状的稳定表达和遗传。  相似文献   

9.
用珍汕97B/密阳46构建RIL群体及其遗传图谱，对其种子采用纸培法育苗和培养，并设2个Al3+浓度（20 mg/L和30 mg/L）胁迫处理，以处理20 d后的幼苗相对根长（%）和相对苗高（%）为耐Al3+胁迫指标，用于QTL定位分析。结果表明，以相对根长为指标，检测到2个耐Al3+胁迫的主效应QTL，即qRAC(r)2和qRAC(r)11，其中qRAC(r)2在2个胁迫处理下均被检测到，有效基因来自于珍汕97B，贡献率较大（12.92%和16.15%），表现出较强的耐Al3+胁迫功能。以相对苗高为指标，还检测到qRAC(s)11-2（20 mg/L Al3+）和qRAC(s)11-1（30 mg/L Al3+）2个主效应QTL，它们均位于第11染色体。耐Al3+胁迫的QTL上位性分析还表明，总的QTL上位性互作效应比主效应QTL的作用更大，且显示出相当的复杂性，在不同胁迫浓度下，基因间可以通过不同的互作方式，表现出对高Al3+胁迫的耐性。以相对根长为指标，检测到8对上位性互作，涉及1、2、3、5、6、10等6条染色体的15个QTL位点；以相对苗高为指标，共检测到6对上位性互作，涉及第1、2、3、5、6、7、8、9、12等9条染色体；且几乎所有互作均发生在背景因子的QTL位点间。  相似文献   

10.
大豆油分含量相关的QTL间的上位效应和QE互作效应   总被引：6，自引：1，他引：5  
利用Charleston × 东农594重组自交系构建的SSR遗传图谱, 及混合线性模型方法对2002年到2006年连续5年的大豆油分含量进行QTL定位, 并作加性效应, 加性×加性上位互作效应及环境互作效应分析。共检测到11个控制油分含量的QTL, 分别位于第A1、A2、B1、C2、D1a、D1b、F、H和O连锁群上, 其中2个表现为遗传正效应, 9个表现为遗传负效应, 另检测到15对影响油分含量的加性×加性上位互作效应的QTL, 解释该性状总变异的17.84%。发现9个QTL与环境存在互作, 贡献率达到5.76%。  相似文献   

11.
Seed storability in rice (Oryza sativa L.) is an important agronomic trait. We previously showed a quantitative trait locus of seed storability, qSS‐9, on chromosome 9 in a backcross population of ‘Koshihikari’ (japonica) / ‘Kasalath’ (indica) // ‘Koshihikari’. In this study, fine mapping of the chromosomal location of qSS‐9 was performed. Effect of ‘Kasalath’ allele of qSS‐9 was validated using a chromosome segment substitution line, SL36, which harboured the target quantitative trait loci (QTL) from ‘Kasalath’ in the genetic background of ‘Nipponbare’ under different ageing treatments in different environments. Subsequently, an F2 population from a cross between ‘Nipponbare’ and SL36 was used for fine mapping of qSS‐9. Simultaneously, four subnear isogenic lines (sub‐NILs) that represented different recombination breakpoints across the qSS‐9 region were developed from F3 progeny. Finally, the qSS‐9 locus was located between the Indel markers Y10 and Y13, which delimit a region of 147 kb in the ‘Nipponbare’ genome. These results provide a springboard for map‐based cloning of qSS‐9 and possibilities for breeding rice varieties with strong seed storability.  相似文献   

12.
Seed storability in rice (Oryza sativa L.) is an important agronomic trait. Two segregating populations with N22 (indica) as a common parent, viz. a set of 122 backcross-inbred lines (BILs) derived from the backcross Nanjing35 (japonica)/N22//Nanjing35 and another population comprising 189 recombinant inbred lines (RILs) from the cross of USSR5 (japonica) and N22, were studied to detect quantitative trait loci (QTL) controlling seed storability. Germination percentage (GP) was used to evaluate seed storability after aging treated under three different conditions, viz. natural, artificial and combined aging treatments. A total of seven QTLs were identified on chromosomes 1, 2, 5, 6 and 9. Among them, a major QTL, qSSn-9, was common in the two populations. In contrast, four QTLs (qSSnj-2-1, qSSn-2-2, qSSn-5 and qSSn-6) were detected in BILs and the QTL qSSn-1 was identified in RILs, which was a new QTL for seed storability. The N22-derived alleles increased the seed storability at all the loci except qSSnj-2-1. We also investigated the effect of QTLs using five selected lines with high storability from BILs and verified qSSn-5 with a near-isogenic line (NIL). These results provide an opportunity for pyramiding or map-based cloning major QTLs for seed storability in rice.  相似文献   

13.
In the present study, quantitative trait loci (QTLs) controlling seed storability based on relative germination rate (%) were dissected using a saturated linkage map and a recombinant inbred lines (RILs) derived from a cross of japonica cultivar Asominori (Oryza sativa L.) and indica cultivar IR24 (Oryza sativa L.). A total of three QTLs (qRGR-1, qRGR-3 and qRGR-9) were detected on chromosomes 1, 3 and 9 with LOD score ranging from 3.45 to 6.95 and the phenotypic variance explained from 16.72% to 28.63%. The IR24 alleles were all associated with seed storability at all the three QTLs. The existence of these QTLs was confirmed using IR24 chromosome segment substitution lines (CSSLs) in Asominori genetic background (AIS). By QTL comparative analysis, the QTL, qRGR-9 on chromosomes 9 appeared to be consistent with another rice population, this region may provide an important region for isolating this responsible gene. These results also provide the possibilities of enhancing Seed storability in rice breeding program by marker-assisted selection (MAS) and pyramiding QTLs. Y. Xue and S. Q. Zhang—joint first authors.  相似文献   

14.
Rice seed storability is an important characteristic of seed quality so that the cultivars with strong seed storability are expected in the production of hybrid seeds. Presently, little is known about the genetic and physiological mechanisms controlling rice seed storability. In this study, a double haploid population derived from the cross between a japonica cultivar CJ06 and an indica cultivar TN1 was used to identify the quantitative trait loci (QTLs) for seed germination percentage (GP) and fatty acid content (FA) during natural storage or artificial aging. A total of 19 QTLs, including ten QTLs for GP and nine QTLs for FA, were identified on nine chromosomes with the phenotypic variations ranged from 2.1 to 22.7%. Besides, six and three pairs of epistatic interactions were identified for GP and FA, respectively. Moreover, qGP-9, a QTL for germination percentage, was delimited in an interval of 92.8 kb between two STS markers P6 and P8, which contains 15 putative open reading frames. These results provide important information for understanding the genetic mechanisms on rice seed storability, and will be useful for breeding new rice varieties with high seed storability.  相似文献   

15.
Guo  Longbiao  Zhu  Lihuang  Xu  Yunbi  Zeng  Dali  Wu  Ping  Qian  Qian 《Euphytica》2004,140(3):155-162
Effective cumulative temperature (ECT) after heading would be a more reasonable parameter for seed sampling of pre-harvest sprouting/seed dormancy (SD) tests in segregating populations than the days after flowering. SD is an important agronomic trait associated with grain yielding, eating quality and seed quality. To identify genomic regions affecting SD at different grain-filling temperatures, and to further examine the association between SD and ECT during grain-filling, 127 double haploid (DH) lines derived from a cross between ZYQ8 (indica)/JX17 (japonica) by anther culture were analyzed. The quantitative trait loci (QTLs) and their digenic epistasis for SD were identified using a molecular linkage map of this population. A total of four putative QTLs for SD (qSD-3, qSD-5, 6 and 11) were detected on chromosomes 3, 5, 6 and 11, together explaining 41.4% of the phenotypic variation. Nine pairs of digenic epistatic loci were associated with SD on all but chromosome 9, and their contributions to phenotypic variation varied from 2.87%–8.73%. The SD QTL on chromosome 3 was identical to the QTLs found in other mapping populations with different genetic backgrounds, which could be a desirable candidate for gene cloning and marker-assisted selection in rice breeding.  相似文献   

16.
籼稻落粒性QTL定位与环境互作效应检测   总被引：5，自引：0，他引：5  
利用珍汕97B／密阳46所构建的RIL群体(ZM-RIL)及其相应分子遗传图谱,在海南和杭州两地试验,以稻穗下落法测得落粒率(％)为指标,进行两地数据QTL联合分析。结果表明,ZM-RIL群体的不同株系在两地间落粒率变化很大。在海南,该性状呈近似正态分布;在杭州,则呈明显偏态分布。试验共检测到7个主效应QTL,位于第1、2、3(2个)、6、7和11等6条染色体上,每个QTL影响落粒率的加性效应均不大,其幅度为1．7％～3．9％,共解释群体落粒性性状变异的8．53％。其中,有3个主效应QTL(qSH3-1、qSH3-2和qSH6)存在显著的GE互作,它们均使海南增加落粒率和杭州降低落粒率,且GE总贡献率几乎接近加性效应总贡献率,表明GE互作对落粒率具有重要影响。此外,试验还检测到5对上位性互作QTL,这些互作共解释群体落粒性性状变异的3．39％,单个互作的贡献率为0．47％-0．85％,未检测到上位性与环境的显著互作。  相似文献   

17.
大白菜种皮颜色基因的QTL定位与分析   总被引：1，自引：0，他引：1  
利用已构建的包括457个标记位点的大白菜分子遗传图谱,采用多QTL复合作图方法(MQM),通过目测和利用色差计测量两种方法对种皮颜色性状进行了QTL定位和分析。结果表明,共得到种皮颜色的QTLs 9个,其中最重要的QTLs位于A6上,命名为Sc-1,与利用色差计测量法检测到的控制种皮颜色性状L值QTL(ScL-2)和b值(Scb-2)位置完全相同,解释80.4%～100%的表型变异。  相似文献   

18.
陆地棉重组近交系产量及其构成因素的QTL分析   总被引：1，自引：1，他引：0  
利用爱字棉1517×德州047重组近交系(recombinant inbred lines, RIL)中G6群体构建的SSR遗传连锁图谱及基于混合线性模型的复合区间作图法对QTL进行定位,并对主效QTL,加性×加性上位性QTL及与环境互作效应进行分析,为利用分子聚合方法提高产量提供理论依据。对2006年、2008年以及2009年的产量性状进行分离分析,检测到24个不同年份的主效QTL,其中相关于单株籽棉、单株皮棉、衣分、子指以及单株铃数的分别检测到1个不同年份稳定存在的主效QTL;对3年的产量性状作环境因子联合分析,检测到14个主效QTL,其中6个与环境互作,检测到20对加加上位性QTL,其中7对与环境互作。不同年份检测的稳定且受环境影响小或不受环境影响的与近处标记紧密连锁的主效QTL可用于分子标记辅助选择,以提高育种的效率。  相似文献   

19.
QTL analysis of seed storability in rice   总被引：7，自引：0，他引：7  
D. L. Zeng    L. B. Guo    Y. B. Xu    K. Yasukumi    L. H. Zhu    Q. Qian 《Plant Breeding》2006,125(1):57-60
A double haploid population, which consists of 127 lines derived from anther culture of a typical indica and japonica hybrid ‘ZYQ8’/‘JX17’, was used in this study. Seed storability was investigated by using the storage property measured by the difference of seed germination rates before and after treatment of the rice seeds under 40°C and 95% relative humidity for 10 days in a phytotron. Three QTLs related to rice seed storability were detected on chromosomes 9, 11 and 12, with the LOD scores 2.76, 4.83 and 2.54, respectively, together explaining 35.4% of the genetic variation. The ‘JX17’ allele at qLS‐9 and the ‘ZYQ8’ alleles at qLS‐11 and qLS‐12 could enhance the rice seed storability. The effects of the ‘ZYQ8’ alleles of qLS‐11 and qLS‐12 were also verified using chromosome segment substitution lines.  相似文献   

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