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％。     

玉米抗南方锈病基因的QTL定位

为发掘新的抗南方锈病基因资源,本研究以感病自交系黄早四为母本、抗病自交系W456为父本,构建F2群体并开展抗病基因定位研究。采用人工接种鉴定的方法对两个亲本、F1、F2群体及对照材料进行表型鉴定和遗传分析。利用均匀覆盖10条染色体的200个SSR标记,分析240个F2单株的基因型并构建含有200个SSR位点的遗传连锁图,连锁图总长度3331 cM,标记间平均距离16.6 cM。使用QTL IciMapping V4.1软件中的完备区间作图法对抗病QTL进行分析,共检测到6个控制南方锈病的QTL:qSCR3、qSCR7、qSCR8-1、qSCR8-2、qSCR9和qSCR10,邻近标记分别为umc2105和umc1729、umc1066和bnlg2271、umc1904和umc1984、umc1984和bnlg1651、umc1957和bnlg1401、umc2034和umc1291,分别位于3、7、8、9和10号染色体上,其中8号染色体上有两个位点,标记区间长度在5～19 cM之间。单个QTL的表型贡献率在2.61%～24.19%之间,可以解释表型总变异的62.3%,其中3个QTL贡献率大于10%,位于10号染色体上的qSCR10贡献率最大,可解释表型变异的24.19%。通过对目标区间标记加密,将该位点的定位区间进一步缩小到2.51 cM内,与两侧标记的距离分别是2.15 cM和0.36 cM。初步定位得到10号染色体上存在抗南方锈病的主效QTL,可为抗病品种的培育提供参考。     

南瓜遗传连锁图谱的构建及粒宽性状的QTL定位

以印度南瓜纯系大粒材料‘0515-1’和小粒材料‘0460-1-1’为亲本,获得193个南瓜F2单株群体,应用AFLP和SSR分子标记技术进行多态性筛选,构建了含84个标记位点的遗传连锁图谱。结果表明,整个图谱包含12个连锁群,全长683.50cM,标记平均间距为8.13cM。采用复合区间定位分析,共检测到控制南瓜籽粒宽度的4个数量性状位点(QTL),分别位于3个连锁群上,各QTL的贡献率在2.87%～29.68%之间。     

水稻籽粒γ-氨基丁酸含量的QTL定位分析

本研究以低含量γ-氨基丁酸的宁农黑粳为母本,高含量γ-氨基丁酸的高粱稻-1为父本,构建F2群体,获得了216个F2单株。利用130个SSR标记构建了一张F2群体的SSR标记连锁图谱,覆盖基因组长度为2406.9 cM,连锁群长度在129.5～360.7 cM之间,标记间的平均距离为18.5 cM,并进一步开展控制水稻γ-氨基丁酸含量的QTL定位研究。结果表明:共检测到7个QTL位点,分别位于第8号和第9号染色体上,其中qGABA8-2、qGABA8-3、qGABA9-1的贡献率依次为10%、11%和9%。对3个贡献率大的QTL位点进行复合区间作图,当LRS为25.6时,在RM342～RM515处可能存在较为可靠的QTL,初步将qGABA8定位在标记RM342与RM515之间的326 kb区间内。利用InDel标记对目标区间加密,将该区间进一步缩小到183 kb区间内,位于标记RM342和G121之间。本研究结果可进一步通过构建次级群体对该基因进行精细定位及图位克隆,同时,研究中筛选出的SSR标记和设计的InDel标记可快速筛选水稻育种材料中富γ-氨基丁酸的基因型,加快育种进程。     

绵羊3号染色体的遗传连锁图谱构建及QTL定位

以四川凉山半细毛羊资源群体为研究对象, 选取位于绵羊3号染色体上的9个微卫星标记, 构建遗传连锁图谱, 用QTLExpress软件对影响绵羊生长发育的5个性状进行QTL定位分析。结果显示: (1) 9个微卫星标记的平均多态信息含量和平均群体杂合度分别为0.606 (0.378～0.738)、0.650 (0.404～0.766); (2) 连锁图谱总长为339.8 cM, 标记平均间距为42.5 cM, 略长于国际主要绵羊作图组织构建的图谱; (3) QTLExpress分析表明, 检测到影响羔羊断奶重、断奶日增重和成年体重的3个QTL, 分别位于99 cM、219 cM、273 cM处, 影响断奶日增重和成年体重的QTL都达到显著水平, 而影响羔羊断奶重的QTL未达到显著水平。     

大豆5个花叶病毒株系抗性基因的定位

以科丰 1号×南农 1138 2为亲本构建的RIL群体NJRIKY为材料 ,对群体进行了 5个SMV株系 (Sa、Sc 8、Sc 9、N1 、N3)的抗病性鉴定。结果表明 :大豆对 5个SMV株系的抗性均受一对显性基因控制。用Mapmaker 3 0进行连锁分析 ,发现Rsa与Rn1、Rn3和Rsc9均连锁 ,距离分别为 2 1 4cM、2 3 5cM和 35 3cM ;Rsc8只和Rn1连锁 ,距离为 35 8cM ;Rn1和Rn3之间的遗传距离最近 ,为 10 2cM。多点分析结果表明 :5个抗病基因的排列顺序和遗传距离为Rsc8 35 8cM Rn1 10 3cM Rn3 2 1 5cM Rsa 35 8cM Rsc9。根据RFLP、SSR标记分析结果构建了一套大豆遗传图谱 ,该图谱包含 2 2个连锁群、2 5 6个标记 ,总遗传距离为 30 5 0 9cM。将 5个抗病基因定位于N8 D1b W连锁群 ,有 3个RFLP标记和Rn1、Rn3都连锁 ,分别为A6 91T、K4 77I、LC5T。它们与Rn1、Rn3的距离分别为 15 0 4cM、17 82cM、15 37cM和 16 14cM、17 82cM、16 5 8cM。     

海岛棉(Gossypium barbadense L.)产量和早熟性状QTL定位

对海岛棉产量和早熟性状进行QTL初步定位,为分子标记辅助育种提供依据.利用5200多对SSR引物筛选海岛棉品种新海3号和Giza82间的多态性引物,获得107对.以多态性引物检测新海3号×Giza82的190个F2∶3家系,获得120个多态性位点.利用JoinMap3.0分析软件构建了一个包含22个连锁群,74个标记,标记间平均距离12.06cM,全长893cM,覆盖海岛棉基因组20.12％的分子标记遗传连锁图谱.采用复合区间作图法检测到21个与海岛棉产量性状和早熟性状有关的QTL,其中早熟性状检测到12个QTL,分别位于1、3、5、6、11、17、22共7个连锁群上;产量性状检测到9个QTL,分别位于1、4、5、6、7、16、22共7个连锁群上.研究结果为海岛棉产量性状和早熟性状的分子设计育种提供了有用的信息.     

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。     

利用三倍体胚乳遗传模型定位玉米籽粒淀粉含量QTL

在两种环境条件下种植以普通玉米自交系丹232和爆裂玉米自交系N04为亲本构建的259个F2:3家系群体, 采用SSR标记构建了包含183个标记的玉米遗传连锁图谱, 覆盖玉米基因组1 762.2 cM, 标记间平均距离为9.6 cM。利用三倍体胚乳遗传模型和区间作图方法对籽粒淀粉含量进行了QTL定位和遗传效应分析, 春、夏播条件下共检测到10个QTL, 春播条件下检测到的QTL在夏播均被检测到, 分别位于第1、3、4、5、7染色体上,可解释淀粉的表型总变异分别为36.84%和72.65%, 单个QTL解释表型变异介于4.74%~11.26%。在检测到的 QTL中, 有2个QTL的遗传作用方式在春播均表现为超显性, 而夏播分别为加性和部分显性; 其他2个为加性, 1个为部分显性, 5个为超显性。3个QTL的增效基因来自丹232, 其余QTL的增效基因均来自N04。     

大豆重组自交系群体（ZKS-HX）遗传图谱的构建和形态标记的定位

以大豆品种‘合丰25’为母本,半野生大豆‘新民6号’为父本杂交得到的F2-9代122个重组自交系为试验材料,构建了含有124个SSR标记、1个EST标记、3个形态学标记的大豆遗传图谱。此图谱覆盖的基因组长度为2348．3cM．标记间平均距离为18．3cM。每个连锁群长度范围为15．1～195．9cM之间,标记数范围2—10个。本文将控制茸毛色（Pb）基因定位于LG06-C2连锁群上,与Sat_40x2的遗传距离为39．6cM;控制叶耳g（Le）、花色（4W,）基因定位于LG12-F连锁群上,它们之间的遗传距离为9．9cM,与两边的Satt348、Sat_240标记遗传距离分别为13．3cM和10．5cM。     

Mapping QTLs for root morphological traits inBrassica rapa L. based on AFLP and RAPD markers

Root growth and thickening plays a key role in the final productivity and even the quality of storage roots in root crops. This study was conducted to identify and map quantitative trait loci (QTLs) affecting root morphological traits in Brassica rapa by using molecular markers. An F2 population was developed from a cross between Chinese cabbage (Brassica rapa ssp. chinensis) and turnip (B. rapa ssp. rapifera), which differed greatly in root characters. A genetic map covering 1837.1 cM, with 192 marker loci and 11 linkage groups, was constructed by using this F2 population. The F3 families derived from F2 plants were grown in the field and evaluated for taproot traits (thickness, length, and weight). QTL analysis via simple interval mapping detected 18 QTLs for the 3 root traits, including 7 QTLs for taproot thickness, 5 QTLs for taproot length, and 6 QTLs for taproot weight. Individually, the QTLs accounted for 8.4-27.4% of the phenotypic variation. The 2 major QTLs, qTRT4b for taproot thickness and qTRW4 for taproot weight, explained 27.4% and 24.8% of the total phenotypic variance, respectively. The QTLs for root traits, firstly detected in Brassica crops, may provide a basis for marker-assisted selection to improve productivity in root-crop breeding.     

爆裂玉米膨化倍数QTL分析及其环境稳定性

膨化倍数是爆裂玉米最重要的品质指标。以普通玉米自交系丹232和爆裂玉米自交系N04杂交构建的259个F2：3家系为定位群体,采用完全随机区组设计在郑州春播和夏播条件下测定了膨化倍数。利用覆盖玉米10条染色体的183对多态性分子标记构建连锁图,采用复合区间作图法（CIM）进行QTL定位分析,采用多区间作图法（MIM）分析定位QTL间的互作效应。共检测出22个QTLs,单个QTL的贡献率为3．07％～12．84％,累计贡献率为66．46％和51．90％。其中5个QTLs在两种环境条件下均检测到,3个QTLs（qPF-6-1、qPF-8-1和qPF-1-3）的贡献率大于10％。大多数QTLs的加性效应值大于显性效应,表现为加性、部分显性、显性和超显性基因作用方式的QTLs数目在两种环境下分别为4、5、0、2和2、5、2、2。仅6对（占2．60％）QTLs或标记区间存在显著互作效应,表现为AA、DA或DD互作方式。     

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。     

QTL Analysis of Popping Fold and the Consistency of QTLs Under Two Environments in Popcorn

Popping fold (PF) is the most important quality trait in popcorn. In this study, a total of 259 F_2:3 families, derived from the cross between a dent corn inbred Dan232 and a popcorn inbred N04, were evaluated for their popping folds in replicated experiments under two environments. Of 613 simple sequence repeat (SSR) primer pairs screened, 183 pairs were selected to construct a genetic linkage map with the genetic distance of 1 762.2 cM (centimorgan) and on average 9.63 cM every marker. Quantative trait loci (QTL) were identified, and their genetic effects were estimated using CIM (composite interval mapping) method. The interactions among QTLs detected were calculated using MIM (multiple interval mapping) method. In all, 22 QTLs were detected, and only 5 of them were common under two environments. Contribution to phenotypic variation of a single QTL varied from 3.07% to 12.84%, and total contributions of all QTLs under two environments were 66.46% and 51.90%, respectively. Three QTLs (qPF-6-1, qPF-8-1 and qPF-1-3) with more than 10% contributions were observed. The additive effects were larger than dominant effects for most QTLs. The amount of QTLs showing additive, partially dominant, dominant and over-dominant effects were 4, 5, 0, 2 in spring sowing and 2, 5, 2, 2 in summer sowing, respectively. There were only 2.60% pairs of QTLs or maker intervals expressing AA, DA or DD interactions.     

Molecular mapping of quantitative trait loci for drought tolerance in maize plants

Drought tolerance is one of the most important but complex traits of crops. We looked for quantitative trait loci (QTLs) that affect drought tolerance in maize. Two maize inbreds and their advanced lines were evaluated for drought-related traits. A genetic linkage map developed using RFLP markers was used to identify QTLs associated with drought-related traits. Twenty-two QTLs were detected, with a minimum of one and a maximum of nine for drought-related traits. A single-QTL was detected for sugar concentration accounting for about 52.2% of the phenotypic variation on chromosome 6. A single-QTL was also identified for each of the traits root density, root dry weight, total biomass, relative water content, and leaf abscisic acid content, on chromosomes 1 and 7, contributing to 24, 0.2, 0.4, 7, and 19% of the phenotypic variance, respectively. Three QTLs were identified for grain yield on chromosomes 1, 5, and 9, explaining 75% of the observed phenotypic variability, whereas four QTLs were detected for osmotic potential on chromosomes 1, 3, and 9, together accounting for 50% of the phenotypic variance. Nine QTLs were detected for leaf surface area on chromosomes 3 and 9, with various degrees of phenotypic variance, ranging from 25.8 to 42.2%. Four major clusters of QTLs were identified on chromosomes 1, 3, 7, and 9. A QTL for yield on chromosome 1 was found co-locating with the QTLs for root traits, total biomass, and osmotic potential in a region of about 15 cM. A cluster of QTLs for leaf surface area were coincident with a QTL for osmotic potential on chromosome 3. The QTLs for leaf area also clustered on chromosome 9, whereas QTLs for leaf abscisic acid content and relative water content coincided on chromosome 7, 10 cM apart. Co-location of QTLs for different traits indicates potential pleiotropism or tight linkage, which may be useful for indirect selection in maize improvement for drought tolerance.     

QTL mapping of economically important traits in Silkworm (Bombyx mori)

The construction of linkage map is both a funda-mental research area and an important aspect of gene analyses in genetics. It provides the guidelines for breeding. A sound linkage map is also necessary for further genetic analysis. In recent years, great and rapid progress has been made in molecular biology, which enables fingerprinting of organisms at the ge-nomic level. Many molecular marker techniques have been well established. Heartening progress has been made in many organisms in the co…     

QTL analysis of flower and fruit traits in sour cherry

The map locations and effects of quantitative trait loci (QTLs) were estimated for eight flower and fruit traits in sour cherry (Prunus cerasus L.) using a restriction fragment length polymorphism (RFLP) genetic linkage map constructed from a double pseudo-testcross. The mapping population consisted of 86 progeny from the cross between two sour cherry cultivars, Rheinische Schattenmorelle (RS)×Erdi Botermo (EB). The genetic linkage maps for RS and EB were 398.2 cM and 222.2 cM, respectively, with an average interval length of 9.8 cM. The RS/EB linkage map that was generated with shared segregating markers consisted of 17 linkage groups covering 272.9 cM with an average interval length of 4.8 cM. Eleven putatively significant QTLs (LOD >2.4) were detected for six characters (bloom time, ripening time, % pistil death, % pollen germination, fruit weight, and soluble solids concentration). The percentage of phenotypic variation explained by a single QTL ranged from 12.9% to 25.9%. Of the QTLs identified for the traits in which the two parents differed significantly, 50% had allelic effects opposite to those predicted from the parental phenotype. Three QTLs affecting flower traits (bloom time, % pistil death, and % pollen germination) mapped to a single linkage group, EB 1. The RFLP closest to the bloom time QTL on EB 1 was detected by a sweet cherry cDNA clone pS141 whose partial amino acid sequence was 81% identical to that of a Japanese pear stylar RNase. Received: 4 March 1999 / Accepted: 27 August 1999     

四倍体栽培棉种产量和纤维品质性状的QTL定位

陆地棉和海岛棉是两个不同的四倍体栽培种 ,但在生产上各有其特点 ,陆地棉丰产性强 ,海岛棉纤维品质优良 ,利用其种间杂交群体定位产量和品质性状的QTL ,对于分子标记辅助的海岛棉优质纤维向陆地棉转移很有意义。以SSR和RAPD为分子标记 ,陆地棉与海岛棉杂种 (邯郸 2 0 8×Pima90 )F2 群体为作图群体 ,构建了一张含 12 6个标记的遗传图谱 ,包括 6 8个SSR标记和 5 8个RAPD标记 ,可分为 2 9个连锁群 ,标记间平均距离为 13 7cM ,总长1717 0cM ,覆盖棉花总基因组约 34 34% ;以遗传图 12 6个标记为基础 ,对F2 :3 家系符合正态分布的 10个农艺性状及纤维品质性状进行全基因组QTL扫描 ,结果发现 2 9个QTL分别与产量和品质性状有关。其中与衣指、籽指、皮棉产量、子棉产量、衣分等产量性状相关的QTL分别有 1、3、5、6和 1个 ,与纤维长度、整齐度、强度、伸长率和马克隆值等品质性状相关的QTL分别有 2、4、2、4和 1个。各QTL解释的变异量在 12 4 2 %～ 47 0 1%之间。其中比强度有关的 2个QTL能够解释的表型变异率分别为 34 15 %和 13 86 %。