玉米雄穗分枝数与主轴长的QTL鉴定

在包含103个SSR标记的连锁图谱基础上, 运用复合区间作图法检测玉米组合(N87-1×9526 )F3家系在正常与干旱胁迫环境下的雄穗分枝数与主轴长性状QTL。雄穗分枝数在正常环境下被检测到2个QTL座位, 分别位于第5和7连锁群上; 在胁迫环境下被检测到4个QTL座位分别位于 2、5、7和10连锁群上, 其中位于第5和7连锁群上的QTL不仅具有一致性而且与本作图群体中曾检测到的耐旱相关性状QTL存在连锁。雄穗主轴长在正常环境下被检测到2个QTL位于第2和第6连锁群上, 在干旱胁迫环境下被检测到了3个QTL分别于第2、4和10连锁群上, 其中位于第2染色体上的QTL是两种环境下所共同检测到的QTL。分析QTL的遗传作用方式表明, 雄穗分枝数以部分加性效应为主, 而雄主轴长全部表现为显性和超显性。     

应用重组自交系群体定位大豆抗虫QTL

以大豆组合科丰1号×南农1138-2衍生的重组自交系(RIL)群体为材料构建遗传连锁图谱, 利用软件 Cartographer V.2.5 采用复合区间作图法检测定位大豆抗虫QTL。以斜纹夜蛾幼虫重为抗性指标, 检测到 1 个与抗虫性有关的 QTL, 位于G20-O连锁群上, 其端距离为31.91 cM, 加性效应估计值为0.0408, 对性状变异的解释率为 11.74％; 以蛹重为抗性指标, 检测到 2 个与抗虫性有关的 QTL, 分别位于G8-D1b+W和G17-L连锁群上, 其端距离分别为 14.71 cM和0.01 cM, 加性效应估计值分别为-0.0139和0.0103, 对性状变异的解释率分别为 11.30％和6.36％。     

甘蓝型油菜种胚叶绿素含量的QTL定位

种胚叶绿素含量是影响菜子油加工和销售的重要指标。关于种胚叶绿素的遗传特性还缺乏研究。本文以重庆市油菜工程中心构建的甘蓝型黄子与黑子油菜重组自交系群体为材料,2007年分别在重庆市北碚区和万州区两个实验基地种植,利用本实验室已构建的遗传连锁图谱为基础,采用复合区间作图法(C IM)分析种胚叶绿素的QTL。结果共检测到10个QTL,分别位于第1、2、5、8、21和25连锁群,单个QTL解释表型变异的4.04%～8.50%。研究结果表明胚中叶绿素表现为多基因控制的数量性状,基因表达受环境影响较大。     

大豆遗传图谱的构建和若干农艺性状的QTL定位分析

大豆许多重要农艺性状都是由微效多基因控制的数量性状,对这些数量性状进行QTL定位是大豆数量性状遗传研究领域的一个重要内容.本研究利用栽培大豆科新3号为父本、中黄20为母本杂交得到含192个单株的F2分离群体,构建了含122 个SSR标记、覆盖1719.6cM、由33个连锁群组成的连锁遗传图谱.利用复合区间作图法,对该群体的株高、主茎节数、单株粒重和蛋白质含量等农艺性状的调查数据进行QTL分析,共找到两个株高QTL,贡献率分别为9.15%和6.08%;两个主茎节数QTL,贡献率分别为10. 1%和8.6%;一个蛋白质含量QTL,贡献率为9.8%;一个单株粒重QTL,贡献率为11.4% .通过遗传作图共找到与所定位的4个农艺性状QTL连锁的6个SSR标记,这些标记可以应用于大豆种质资源的分子标记辅助选择,从而为大豆分子标记辅助育种提供理论依据.     

梨分子遗传图谱构建及生长性状的QTL分析

利用鸭梨和京白梨杂交得到的F1(145株)实生苗为作图群体,通过对AFLP和SSR两种分子标记的遗传连锁分析,应用Joinmap 3.0作图软件,368个AFLP标记、34个SSR标记构建了分属18个连锁群的梨分子遗传连锁图谱,各连锁群的LOD值在4.0～7.0范围之间,图谱总长度覆盖梨基因组1395.9cM,平均图距为3.8cM.采用区间作图法,对该群体与生长性状相关的调查数据进行QTL分析,检测到与新梢生长量、新梢茎粗、节间长度、节间数量、树干径、树高及皮孔密度7个农艺性状连锁的QTL位点35个,其中主效QTL位点11个(LOD≥3.5).与生长性状相关的农艺性状QTL位点多集中在LG16连锁群上.     

小麦“BS20×Fu3”DH群体SSR遗传图谱的构建及不育基因的QTL定位

以小麦光温敏核雄性不育系BS20×Fu3双单倍体(DH)群体的289个系为材料,从1112对SSR和EST-SSR引物中筛选出多态性引物243对,利用其中128个SSR和6个EST-SSR标记构建遗传连锁图谱,该图谱覆盖长度为2749.2 c M,分布在小麦的19个连锁群(除4D、6A),不同连锁群标记数为2~15个,长度在15.3~244.4 c M之间,平均长度为144.7 c M,标记之间平均遗传距离为17.4 c M。同时构建3个DNA池(包括恢复池、北京不育池和阜阳不育池),用分离群体分组分析法(BSA)对育性进行分析,筛选出的多态性引物为Wmc264、Wmc73、Xgwm350,分布在3A、5B、2A/7D染色体上。同时用混合线性复合区间作图法(MCIM)对育性进行QTL分析,当F7.5时,检测到6个主效QTL,用复合区间作图法(CIM)对育性进行QTL分析,当LOD值2.5时,共检测到13个主效QTL,两种方法检测到一致的QTL有3个,分别为1BL的Wmc365-cfa2129、2BS的Wmc602-Xgwm148和3AL的Wmc264a-cfa2262区间的QTL。综合BSA和QTL的结果,位于1BL、2BS和3AL上的小麦光温敏不育基因是真实的。     

茄子分子遗传图谱的构建及果实性状的QTL定位

以茄子(Solanum melongena)材料09-101-M和10TL-102-F4-1的重组自交系(RIL)为作图群体,构建总长度为991.7c M、共包含16个连锁群157个位点、平均图距为6.32 c M的遗传图谱。应用复合区间作图法(CIM),共检测到18个与茄子果实性状相关的QTLs,其中10个为主效QTLs,8个QTLs在两年两点的实验中能够被重复检测到。在所有QTLs中,控制果重的QTL fw1.1的效应值最大,为23.8%–31.6%,被定位在LG01(E09)上E25M34–E33M57b区域内;果长、果径与果重显著相关,且控制果长、果径与果重的QTL位于同一连锁群的相同区域。     

应用重组自交系群体定位大豆根重QTL

应用构建的NJRIKY(科丰1号×1138-2)大豆重组自交家系群体,对大豆根重QTL进行8次重复的随机区组分析;以该群体所构成的遗传连锁图谱为基础,采用复合区间作图法(Cartographer V.1.21)检测到3个与根重有关的QTL位于连锁群N3-B1和N6-C2上。其中rw1在N3-B1的端距离是66.31cM,位于A520T～ACCCA-GO5区间,rw2和rw3分别在N6-C2的端距离是169.91cM和179.71cM,并与OPW13和ACGCATO6重叠。LOD值分别是10.34、4.01和3.15,可以解释26.3％、9.2％和6.8％的遗传变异。加性效应估计值分别为-0.514、-0.303和-0.260。     

鲤鱼体长性状的QTL定位及其遗传效应分析

以大头鲤/荷包红鲤抗寒品系的重组自交系群体及其遗传连锁图谱, 利用Windows Map Manager 2.0的标记回归法进行QTL单标记定位分析和复合区间作图法进行QTL区间检测, 通过置换实验(1 000次重复)确定连锁群显著性水平阈值。在体长性状的标记回归研究中, 共7个标记达到显著水平(P<0.01), 对性状的贡献率为14.00%～27.00%, 其中3个标记达到极显著水平(P<0.001)。HLJ534, HLJ319, HLJ370座位可能与影响鲤鱼体长性状的主效基因连锁。在体长性状的QTL区间定位研究中, 共6个QTL达到连锁群显著水平(P=0.05), 对性状的贡献率为11.33.%～23.12%, 其中2个达到连锁群极显著性水平(P=0.01), 它们的加性效应方向并不一致。HLJ190-HLJ497区间和HLJ479-HLJ483区间是影响鲤鱼体长性状的主效QTL区间。     

杂交水稻亲本明恢63对纹枯病水平抗性的QTL定位

利用240份源于组合珍汕97／明恢63的重组自交群体（F11、F12）,连续两年进行2重复的随机区组田间试验,运用改进的纹枯病人工接种鉴定的方法,调查其纹枯病病级,结合该组合F9群体构建的分子标记遗传连锁图谱,运用区间作图法对抗纹枯病QTLs进行了定位。两年在第5染色体的相邻区间C624－C246（1999年）和C246－RM26（2000年）上各检测到一个抗纹枯病QTL,两者一个LOD值置信区间存在较大的重叠,而且LOD峰值位点很接近,推测它们可能是同一个QTL。两年在第9染本上均检测到一个QTL,分别位于C472－R26389（1999年）和RM247－RM242（2000年）区间上,两区间相距9．8cM。两年检测到的所有抗纹枯病QTLs均业自明恢63。     

Quantitative trait loci associated with oligosaccharide and sucrose contents in soybean (Glycine max L.)

Oligosaccharides and sucrose are very important nutritional components in soybean seeds. However, little information is available about their inheritance. We used molecular markers to identify the genomic regions significantly associated with the quantitative trait locus (QTL) that controls oligosaccharide and sucrose contents in segregating F_2:10 Rl lines. Two related, but independent, QTLs were identified for oligosaccharides — near marker satt546 on linkage group (LG) D1b+W and satt278 on LG L. Four others, for sucrose content, were located at LG B1 (satt197), D1b+W (satt546), and L (satt523 and satt278). Finally, we found two common QTLs, on LG D1b+W and L, that are associated with both oligosaccharides and sucrose.     

Combined linkage and association mapping of flowering time in Sunflower (Helianthus annuus L.)

Association mapping and linkage mapping were used to identify quantitative trait loci (QTL) and/or causative mutations involved in the control of flowering time in cultivated sunflower Helianthus annuus. A panel of 384 inbred lines was phenotyped through testcrosses with two tester inbred lines across 15 location × year combinations. A recombinant inbred line (RIL) population comprising 273 lines was phenotyped both per se and through testcrosses with one or two testers in 16 location × year combinations. In the association mapping approach, kinship estimation using 5,923 single nucleotide polymorphisms was found to be the best covariate to correct for effects of panel structure. Linkage disequilibrium decay ranged from 0.08 to 0.26 cM for a threshold of 0.20, after correcting for structure effects, depending on the linkage group (LG) and the ancestry of inbred lines. A possible hitchhiking effect is hypothesized for LG10 and LG08. A total of 11 regions across 10 LGs were found to be associated with flowering time, and QTLs were mapped on 11 LGs in the RIL population. Whereas eight regions were demonstrated to be common between the two approaches, the linkage disequilibrium approach did not detect a documented QTL that was confirmed using the linkage mapping approach.     

Genetic control of soybean seed oil: I. QTL and genes associated with seed oil concentration in RIL populations derived from crossing moderately high-oil parents

Soybean seed is a major source of oil for human consumption worldwide and the main renewable feedstock for biodiesel production in North America. Increasing seed oil concentration in soybean [Glycine max (L.) Merrill] with no or minimal impact on protein concentration could be accelerated by exploiting quantitative trait loci (QTL) or gene-specific markers. Oil concentration in soybean is a polygenic trait regulated by many genes with mostly small effects and which is negatively associated with protein concentration. The objectives of this study were to discover and validate oil QTL in two recombinant inbred line (RIL) populations derived from crosses between three moderately high-oil soybean cultivars, OAC Wallace, OAC Glencoe, and RCAT Angora. The RIL populations were grown across several environments over 2 years in Ontario, Canada. In a population of 203 F_3:6 RILs from a cross of OAC Wallace and OAC Glencoe, a total of 11 genomic regions on nine different chromosomes were identified as associated with oil concentration using multiple QTL mapping and single-factor ANOVA. The percentage of the phenotypic variation accounted for by each QTL ranged from 4 to 11 %. Of the five QTL that were tested in a population of 211 F_3:5 RILs from the cross RCAT Angora × OAC Wallace, a “trait-based” bidirectional selective genotyping analysis validated four QTL (80 %). In addition, a total of seven two-way epistatic interactions were identified for oil concentration in this study. The QTL and epistatic interactions identified in this study could be used in marker-assisted introgression aimed at pyramiding high-oil alleles in soybean cultivars to increase oil concentration for biodiesel as well as edible oil applications.     

Mapping quantitative trait loci associated with aluminum toxin tolerance in NJRIKY recombinant inbred line population of soybean (Glycine max)

To investigate the genetic mechanism of AI-tolerance in soybean,a recombinant inbred line population (RIL) with 184 F2:7:11 lines derived from the cross of Kefeng No.1 x Nannong 1138-2 (AI-tolerant x AI-sensitive) were tested in pot experimentwith sand culture medium in net room in Nanjing.Four traits,i.e.plant height,number of leaves,shoot dry weight and root dry weight at seedling stage,were evaluated and used to calculate the average membership index (FAi) as the indicator of AI-tolerance.The composite interval mapping (ClM) under WinQTL Cartographer v.2.5 detected five QTLs (i.e.qFAiol,qFAi-2,qFAi-3,qFAi-4 and qFAi-5),explaining 5.20%-9.07% of the total phenotypic variation individually.While with the multiple interval mapping (MIM) of the same software,five QTLs (qFAi-1,qFAi-5,qFAi-6,qFAi-7,and qFAi-8) explaining 5.7%-24.60% of the total phenotypic variation individually were mapped.Here qFAi-1 and qFAi-5 were detected by both CIM and MIM with the locations in a same flanking marker region,GMKF046-GMKF080 on B1 and satt278-sat_95 on L,respectively.While qFAi-2 under CIM and qFAi-6 under MIM both on D1b2 were located in neighboring regions with their confidence intervals overlapped and might be the same locus.Segregation analysis under major gene plus polygene inheritance model showed that Al-tolerance was controlled by two major genes (h2mg =33.05%) plus polygenes (h2pg=52.73%).Both QTL mapping and segregation analysis confirmed two QTLs responsible for Al-tolerance with relatively low heritability,and there might be a third QTL,confounded with the polygenes in segregation analysis.     

Genetic mapping of hypervariable minisatellite sequences in rice (Oryza sativa L.)

Minisatellites, or DNA fingerprinting sequences, have been utilized in animal linkage studies for several years but have not been used as markers for plant genome mapping. In animal genome mapping they have resulted in limited success because they are evenly dispersed in some species but are often clustered near telomeric regions, as observed on human chromosomes. The purpose of the present study was to generate DNA fingerprints utilizing several rice-derived minisatellites containing different core sequences and numbers of repeat units, followed by assessing their potential for use as genetic markers when mapped to a rice recombinant inbred line (RIL) population. Sites of segregating minisatellite loci were mapped onto 11 of the 12 rice RIL linkage maps. The implications for the use of rice minisatellite core sequences as genetic markers on linkage maps in rice are discussed. Received: 1 March 1999 / Accepted: 22 June 1999     

大豆重要农艺性状的QTL分析

应用栽培大豆科丰1号（♀）和南农1138-2（♂）杂交得到的F9代重组自交系（RILs）群体（201个家系）,构建了含302遗传标记、覆盖2363.8cM、由22个连锁群组成的遗传连锁图谱。采用区间作图法,对该群体的主要农艺性状的调查数据进行QTL分析,表明与开花期、成熟期、株高、主茎节数、每节荚数、倒状性、种子重、产量、蛋白质和含油量等10个重要农艺性状连锁的QTL位点34个,每个数量性状的遗传变异是由多个QTL位点决定的。与产量有关的农艺性状的一些QTL集中在几个连锁群上。     

大豆小区产量及其相关性状QTL间的上位性和环境互作效应

以晋豆23栽培大豆(Glycine max)为母本、灰布支黑豆(ZDD2315,半野生大豆)为父本衍生出447个RIL群体,通过构建SSR遗传图谱及利用混合线性模型分析方法,对2年大豆小区产量及主要植物学性状进行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。结果显示,共检测到12个与小区产量、单株粒重、单株茎重、单株粒茎比、有效分枝、主茎节数、株高和结荚高度相关的QTL,分别位于A1、A2、H_1、I、J_2和M连锁群上。其中小区产量、株高、单株粒重、有效分枝和主茎节数均表现为遗传正效应,即增加其性状的等位基因来源于母本晋豆23。同时,检测到11对影响小区产量、单株粒重、单株茎重、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,发现22个QTL与环境存在互作。实验结果表明,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很大。进行大豆分子标记辅助育种时,既要考虑效应起主要作用的QTL,又要注重上位性QTL,这样有利于性状的稳定表达和遗传。     

Association of a major groat oil content QTL and an acetyl-CoA carboxylase gene in oat

 Oat groats are unique among cereals for the high level and the embryo-plus-endosperm localization of lipids. Genetic manipulation of groat quality traits such as oil is desired for optimizing the value of oat in human and livestock diets. A locus having a major effect on oil content in oat groats was located on linkage group 11 by single-factor analysis of variance, simple interval mapping and simplified composite interval mapping. A partial oat cDNA clone for plastidic acetyl-CoA carboxylase (ACCase), which catalyzes the first committed step in de novo fatty acid synthesis, identified a polymorphism linked to this major QTL. Similar QTL and ACCase locus placements were obtained with two recombinant inbred populations, ‘Kanota’בOgle’ (KO) and ‘Kanota’בMarion’ (KM), containing 137 and 139 individual lines, respectively. By having a common parent these populations provide biological replication of the results in that significant genomic regions should be evident in analyses of multiple cross combinations. The KO population was mapped with 150 RFLP loci distributed over the genome and was grown in five diverse environments (locations and years) for measurement of groat oil content. The KM population was mapped with 60 RFLP loci and grown in three environments. The QTL linked to AccaseA on linkage group 11 accounted for up to 48% of the phenotypic variance for groat oil content. These results provide strong support for the hypothesis that ACCase has a major role in determining groat oil content. Other QTLs were identified in both populations which accounted for an additional 10–20% of the phenotypic variance. Received: 2 July 1998 / Accepted: 3 November 1998     

Quantitative trait loci controlling sulfur containing amino acids, methionine and cysteine, in soybean seeds

Soybean [Glycine max (L.) Merr.] is the single largest source of protein in animal feed. However, a major limitation of soy proteins is their deficiency in sulfur-containing amino acids, methionine (Met) and cysteine (Cys). The objective of this study was to identify quantitative trait loci (QTL) associated with Met and Cys concentration in soybean seed. To achieve this objective, 101 F₆-derived recombinant inbred lines (RIL) from a population developed from a cross of N87-984-16 × TN93-99 were used. Ground soybean seed samples were analyzed for Met and Cys concentration using a near infrared spectroscopy instrument. Data were analyzed using SAS software and QTL Cartographer. RIL differed (P<0.01) in Met and Cys concentrations, with a range of 5.1–7.3 (g kg⁻¹ seed dry weight) for Cys and 4.4–8.8 (g kg⁻¹ seed dry weight) for Met. Heritability estimates on an entry mean basis were 0.14 and 0.57 for Cys and Met, respectively. A total of 94 polymorphic simple sequence repeat molecular genetic markers were screened in the RIL. Single factor ANOVA was used to identify candidate QTL, which were confirmed by composite interval mapping using QTL Cartographer. Four QTL linked to molecular markers Satt235, Satt252, Satt427 and Satt436 distributed on three molecular linkage groups (MLG) D1a, F and G were associated with Cys and three QTL linked to molecular markers Satt252, Satt564 and Satt590 distributed on MLG F, G and M were associated with Met concentration in soybean seed. QTL associated with Met and Cys in soybean seed will provide important information to breeders targeting improvements in the nutritional quality of soybean.     

Mapping of QTL associated with chilling tolerance during reproductive growth in soybean

Low temperatures in summer bring about drastic reduction in seed yield of soybean [Glycine max (L.) Merr.]. To identify quantitative trait loci (QTL) associated with chilling tolerance during the reproductive growth in soybean, a recombinant inbred line (RIL) population consisting of 104 F₆-derived lines was created from a cross between two cultivars, chilling-tolerant Hayahikari and chilling-sensitive Toyomusume. The RIL were genotyped with 181 molecular and phenotypic markers and were scored with regard to chilling tolerance, which was evaluated by comparison of seed-yielding abilities in two artificial climatic environments at chilling and usual temperatures. Three QTL were detected for chilling tolerance in seed-yielding ability. Two of them, qCTTSW1 and qCTTSW2, were mapped near QTL for flowering time, and the latter had an epistatic interaction with a marker locus located near another QTL for flowering time, where no significant QTL for chilling tolerance was detected. The analysis of an F₂ population derived from the cross between Hayahikari and an RIL of the Hayahikari genotype at all QTL for flowering time confirmed the effect of the third QTL, qCTTSW3, on chilling tolerance and suggested that qCTTSW1 was basically independent of the QTL for flowering time. The findings and QTL found in this study may provide useful information for marker-assisted selection (MAS) and further genetic studies on soybean chilling tolerance.