油菜油分、蛋白质和硫苷含量相关性分析及QTL定位

为定位与油分、蛋白质和硫苷含量等品质性状相关的数量性状位点（QTL）,以2个含油量较高的甘蓝型油菜（Brassica napus）品系8908B和R1为研究材料,配置正反交组合。在正反交F2代群体中,含油量和蛋白质含量都存在极显著的负相关,相关系数分别为-0．68和-0．81,含油量和硫苷含量相关性不显著：蛋白质含量和硫苷含量在正交群体中相关性不显著,但在反交群体中存在显著负相关（相关系数r=-0．45）。利用正交F2代群体中的118个单株,构建了包含121个标记的遗传连锁图谱,图谱长1298．7cM,有21个连锁群（LGs）。采用复合区间作图法,在连锁图上定位了2个与含油量有关的QTL,分别位于LG8和LG10,其贡献率分别为4．8％和13．7％,增效基因都来源于R1;定位了2个与蛋白质含量有关的QTL：pr01和pr02,分别位于LG1和LG3,其贡献率分别为15．2％和14．1％,位点pr07由8908B提供增效基因,pro2则由R1提供增效基因：定位了4个与硫苷含量有关的QTL,其中LG20上有2个,LG4和LG8上各1个,它们的贡献率在1．9％-25．4％之间,除LG20上glu7的增效基因来自R1外,其余3个QTL位点均由8908B提供增效基因。     

高丹草氢氰酸含量性状的QTL定位分析

为了深入开展高丹草低氢氰酸含量性状的QTL精细定位、基因图位克隆、功能解析及分子标记辅助育种,该研究以二倍体杂交高丹草F_2代群体500个分离单株无性系及其亲本为材料,在课题组前期已构建出的高丹草高密度分子遗传连锁图谱的基础上,利用区间作图法对两年两地测定的高丹草氢氰酸含量性状进行了QTL定位分析。结果显示:(1)在4个不同环境下高丹草氢氰酸含量性状的广义遗传率分别为61.70%、72.05%、40.16%和69.25%,表明氢氰酸含量是既受环境影响又受微效多基因控制的数量性状,而且其群体测定值频率呈明显单峰正态性分布特点,符合QTL定位要求。(2)在LOD2.5的条件下,共检测到16个与氢氰酸含量性状相关的QTLs,其分布在LG1、LG2、LG4、LG6、LG7、LG8和LG10连锁群上。(3)16个QTLs中能重复检测到的稳定QTLs有9个,遗传贡献率范围为1.17%～39.9%,其中贡献率大于20%的主效QTLs有Qcn2-2、Qcn4-1、Qcn6和Qcn6-1共4个。该研究结果明确了各QTLs的遗传效应和分子标记位点。     

甜瓜果实糖含量相关性状QTL分析

以高糖栽培亲本自交系‘0246’为母本,低糖野生亲本自交系‘Y101’为父本,通过杂交得到了含135个单株的甜瓜远缘F2群体,分别测定甜瓜果实果糖、葡萄糖和蔗糖含量,将三者之和作为总糖含量,进行遗传连锁图谱构建及QTL分析。结果表明:(1)构建的甜瓜果实遗传图谱包含14个连锁群,覆盖基因组长度726.30cM,标记间平均距离为12.74cM。(2)检测到与总糖含量和果糖含量相关的QTL位点各1个,分别命名为Ts3.1和Fru4.1,贡献率分别为14.89%和13.02%,分布于第3、4连锁群,LOD值分别为3.60和3.10。2个QTL位点均为正向加性遗传,分别对增加总糖和果糖含量表现为增效累加效应。研究结果为开展甜瓜糖含量相关基因精细定位和克隆研究奠定了基础。     

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.     

亚麻主要农艺与品质相关性状的QTL定位

为了全面了解亚麻产量和品质相关性状的遗传基础,为亚麻基因克隆和分子标记辅助育种提供理论依据,在已构建SNP连锁遗传图谱的基础上,以LH-89为父本,R43为母本构建F2:3家系QTL定位群体,用R/QTL软件采用复合区间作图法对13个农艺和品质性状进行QTL定位。结果表明:(1)该研究共检测出35个QTL位点,与粗脂肪及其组成成分相关的QTL有20个,与农艺性状相关的QTL有15个;其中:亚油酸和粗脂肪各5个,亚麻酸、千粒重各4个,棕榈酸、株高、工艺长度各3个,硬脂酸、分枝数各2个,单株果数、果粒数、单株粒重、油酸各1个。(2)共有18个QTL的表型贡献率超10%(主效基因),其中农艺性状定位8个主效基因,品质性状定位10个主效基因。     

黄瓜SRAP遗传连锁图的构建及侧枝基因定位

在由黄瓜的两个自交系S06与S52杂交产生的F₂群体中, 应用SRAP(sequence-related amplified polymorphism)标记构建遗传连锁图谱, 检测控制黄瓜侧枝数(lbn)和侧枝平均长度(lbl)的数量性状座位(QTL). 使用筛选出的64个多态性引物组合对F2群体进行分析, 得到108个多态性位点. 经MAPMAKER/EXP3.0分析(LOD≥3.0), 获得由92个标记座位组成、覆盖7个连锁群的遗传图谱, 总长1164.2 cM, 标记平均间距12.6 cM. 应用QTLMapper1.6, 各检测到4个控制lbn和lbl的QTL, 其中, 对lbn贡献率最大的QTL位于第二连锁群的ME11SA4B-ME5EM5区间, 其S06基因型具有增效作用; 对lbl贡献率最大的QTL位于第二连锁群的DC1OD3-DC1EM14区间, 其S06基因型具有增效作用.     

谷子SSR分子图谱的构建及主要农艺性状QTL定位

试验拟对谷子重要农艺性状进行数量性状位点QTL分析。以表型差异较大的沈3/晋谷20F2作图群体为材料,观测其株高、穗长等性状,选用SSR做分子标记,利用完备区间作图法(BASTEN C J)进行QTL分析。结果显示,表型数据在作图群体中呈现连续分布,表现为多基因控制的数量性状,被整合的54个SSR标记构建10个连锁群,LOD阈值设置为2.0,检测到与株高相关的主效QTL2个,联合贡献率45.9637%,穗长主效QTL1个,贡献率14.9647%,与穗重、粒重相关的主效QTL为同一位点,贡献率分别为11.9601%和10.1879%。有6组QTL位点之间存在基因互作效应,大小范围为-0.4986-16.6407,对性状的贡献率在2.2716％至6.7478％之间。谷子表型控制复杂,相关QTL的检测受环境影响较大,不同连锁群QTL间互作明显。     

玉米株高和穗位高的QTL定位

摘要: 用玉米自交系掖478和丹340构建了397个F_2:3家系群体, 利用双亲间多态的150个共显性SSR标记绘制分子连锁图谱, 图谱总长度1 478.7 cM, 标记间平均距离10.0 cM。在5种环境下对株高和穗位高性状进行鉴定, 复合区间作图法检测到21个株高QTL和25个穗位高QTL。于第1和5染色体的umc2025－umc1035及umc1822－bnlg1118区域检测到平均贡献率分别为12.2%和14.9%的株高QTL。于第3和5染色体的phi029－umc1102及phi109188－bnlg1118区域检测到平均贡献率达到10.2%和22.8%的穗位高QTL。第5染色体的Bin5.05－5.07区域可能存在控制株高和穗位高的主效QTL。株高和穗位高的基因作用方式主要是加性和部分显性效应。文章还分析了群体大小及试验环境对株高和穗位高QTL定位结果的影响     

水稻子粒硒含量的遗传及QTL检测

富硒功能水稻具有富硒、优质、保健、防病、安全等特点,已成为当前研究的热点。子粒硒含量的QTL定位对研究富硒功能水稻的遗传育种具有重要的意义。以籼稻亲本奉新红米和明恢100杂交的145个株系的F2群体构建遗传连锁图谱,图谱拟合92个SSR标记位点,覆盖水稻基因组2187.5 cM,标记间平均遗传距离为23.7 cM,占水稻全基因组的49.2%。采用复合区间作图法,对水稻子粒硒含量进行QTL分析,在第5染色体上共检测到2个新的水稻子粒硒的QTL,对表型变异的贡献率分别为6.39%、8.01%。     

裸燕麦子粒性状的QTL研究

以六倍体裸燕麦578(大粒品种)和三分三(小粒品种)为亲本进行杂交,构建包含202个家系的F2遗传作图群体。由172个SSR标记构建出包含21个连锁群的遗传连锁图谱。采用复合区间作图对子粒性状进行QTL定位,共检测到17个控制子粒长度、宽度、千粒重的QTL位点。其中,6个与子粒长度相关的QTL位点表型的贡献率为0.70%~12.83%,5个与子粒宽度相关的QTL位点表型的贡献率为0.77%~12.92%,6个与子粒千粒重相关的QTL位点表型的贡献率为0.58%~10.64%。在这些QTLs中有4个的贡献率达到了10%以上,分别是与子粒长有关的qGL-2(12.83%)、与子粒宽有关的qGW-5(12.92%)以及与千粒重有关的qTGW-3(10.64%)和qTGW-4(10.05%),被认为是主效基因所在位点。而且qGL-2和qTGW-4位于连锁群的相同位置上。还发现第3号连锁群上AM1089~AM1512区段分别与子粒长度、宽度和千粒重相关,同时3号连锁群AM86-2~AM1044区间分别与子粒长度和千粒重相关,而位于第21号连锁群AM3217~AM965区段分别与子粒宽度和千粒重相关。这一研究为燕麦子粒性状的深入研究和相关标记开发以及分子辅助选择研究奠定了基础。     

Homoeologous loci control the accumulation of seed glucosinolates in oilseed rape (Brassica napus).

The genetic control of seed glucosinolate content in oilseed rape was investigated using two intervarietal backcross populations. Four QTLs segregating in the population derived from a Brassica napus L. 'Victor' x Brassica napus L. 'Tapidor' cross, together accounting for 76% of the phenotypic variation, were mapped. Three of these loci also appeared to control the accumulation of seed glucosinolates in a Brassica napus L. 'Bienvenu' x 'Tapidor' cross, and accounted for 86% of the phenotypic variation. The three QTLs common to both populations mapped to homoeologous regions of the B. napus genome, suggesting that seed glucosinolate accumulation is controlled by duplicate genes. It was possible to extend the comparative analysis of QTLs controlling seed glucosinolate accumulation by aligning the published genetic maps generated by several research groups. This comparative mapping demonstrated that high-glucosinolate varieties often carry low-glucosinolate alleles at one or more of the loci controlling seed glucosinolate accumulation.     

Identification of quantitative trait loci for plant height, lodging, and maturity in a soybean population segregating for growth habit

The use of molecular markers to identify quantitative trait loci (QTLs) has the potential to enhance the efficiency of trait selection in plant breeding. The purpose of the present study was to identify additional QTLs for plant height, lodging, and maturity in a soybean, Glycine max (L.) Merr., population segregating for growth habit. In this study, 153 restriction fragment length polymorphisms (RFLP) and one morphological marker (Dt1) were used to identify QTLs associated with plant height, lodging, and maturity in 111 F₂-derived lines from a cross of PI 97100 and Coker 237. The F₂-derived lines and two parents were grown at Athens, Ga., and Blackville, S.C., in 1994 and evaluated for phenotypic traits. The genetic linkage map of these 143 loci covered about 1600 cM and converged into 23 linkage groups. Eleven markers remained unlinked. Using interval-mapping analysis for linked markers and single-factor analysis of variance (ANOVA), loci were tested for association with phenotypic data taken at each location as well as mean values over the two locations. In the combined analysis over locations, the major locus associated with plant height was identified as Dt1 on linkage group (LG) L. The Dt1 locus was also associated with lodging. This locus explained 67.7% of the total variation for plant height, and 56.4% for lodging. In addition, two QTLs for plant height (K007 on LG H and A516b on LG N) and one QTL for lodging (cr517 on LG J) were identified. For maturity, two independent QTLs were identified in intervals between R051 and N100, and between B032 and CpTI, on LG K. These QTLs explained 31.2% and 26.2% of the total variation for maturity, respectively. The same QTLs were identified for all traits at each location. This consistency of QTLs may be related to a few QTLs with large effects conditioning plant height, lodging, and maturity in this population.     

Genetic analysis of floral anthocyanin pigmentation traits in Asiatic hybrid lily using molecular linkage maps

To understand the genetic background of two floral anthocyanin pigmentation traits, anthocyanin pigmentation in the flower tepals and spot formation, in the Asiatic hybrid lily (2n = 24), segregation of the two traits among 96 F₁ plants derived from a cross between commercial cultivars 'Montreux' and 'Connecticut King' were investigated. 'Montreux' has anthocyanin pigmentation in the tepals with many spots, and 'Connecticut King' has flowers with carotenoid pigmentation without spots. The F₁ plants with or without anthocyanin pigment in the tepals segregated with a 1:1 segregation ratio, indicating that a single gene controls anthocyanin pigmentation in the tepals. The number of spots per square centimeter of all tepals showed continuous distribution in the F₁ plants. To map the loci for the two anthocyanin pigmentation traits, molecular linkage maps in the Asiatic hybrid lily were constructed using a double pseudo-testcross strategy, with the same F₁ plants used for phenotypic evaluation, and 212 PCR-based DNA markers. The trait for anthocyanin pigmentation in tepals was used as a trait marker. The map of 'Montreux' comprised 95 markers in 26 linkage groups, and the map of 'Connecticut King' used 119 markers in 24 linkage groups. The total map lengths were 867.5 and 1,114.8 cM, respectively. The trait locus for anthocyanin pigmentation in the tepals was between markers ASR35-180 and P506-40 in linkage group 1 of the 'Montreux' map with a map distance of 1.2 cM and 2.6 cM, respectively. A single-point analysis of quantitative trait loci (QTLs) for tepal spot number identified two putative QTLs in linkage groups 1 and 19 of the 'Connecticut King' map. One putative QTL in linkage group 19 explained 64% of the total phenotypic variation. Because both putative QTLs were mapped on the linkage map of 'Connecticut King' that has no spots, dominant alleles of them might suppress spot formation.     

Mapping of Quantitative Trait Loci for Butter Content and Hardness in Cocoa Beans (Theobroma cacao L.)

Cocoa butter is an important raw material for the chocolate, pharmaceutical, and cosmetic industries. The butter content and quality in cocoa beans are genetically controlled characteristics, and affect its commercial value and industrial applicability. In the present work, an F₂ population derived from the cross between the ICS-1 and Scavina-6 cocoa clones was used for molecular mapping. A linkage map was constructed based on amplified fragment length polymorphism, random amplified polymorphic DNA, and simple sequence repeat markers, resulting in a total of 273 markers, distributed in 14 linkage groups (LGs). Phenotyping of butter content was performed after ether extraction and butter hardness was determined by sweeping differential calorimetry. One quantitative trait locus (QTL) associated to butter content was mapped at linkage group 9 (LG9) and two QTLs for butter hardness were identified at linkage groups 9 and 7 (LG9 and LG7). The two QTLs mapped at the LG9 explained 51.0% and 28.8% of the phenotypic variation for butter content and hardness, respectively. These QTLs were concentrated in the same map region, suggesting a close genetic linkage or pleiotropic effect. The QTLs identified may be useful in further marker-assisted selection breeding programs aimed at cocoa butter quality improvement.     

Genetic linkage map construction and QTL mapping of cadmium accumulation in radish (Raphanus sativus L.)

Cadmium (Cd) is a widespread soil pollutant and poses a significant threat to human health via the food chain. Large phenotypic variations in Cd concentration of radish roots and shoots have been observed. However, the genetic and molecular mechanisms of Cd accumulation in radish remain to be elucidated. In this study, a genetic linkage map was constructed using an F(2) mapping population derived from a cross between a high Cd-accumulating cultivar NAU-Dysx and a low Cd-accumulating cultivar NAU-Yh. The linkage map consisted of 523 SRAP, RAPD, SSR, ISSR, RAMP, and RGA markers and had a total length of 1,678.2 cM with a mean distance of 3.4 cM between two markers. All mapped markers distributed on nine linkage groups (LGs) having sizes between 134.7 and 236.8 cM. Four quantitative trait loci (QTLs) for root Cd accumulation were mapped on LGs 1, 4, 6, and 9, which accounted for 9.86 to 48.64 % of all phenotypic variance. Two QTLs associated with shoot Cd accumulation were detected on LG1 and 3, which accounted for 17.08 and 29.53 % of phenotypic variance, respectively. A major-effect QTL, qRCd9 (QTL for root Cd accumulation on LG9), was identified on LG 9 flanked by NAUrp011_754 and EM5me6_286 markers with a high LOD value of 23.6, which accounted for 48.64 % of the total phenotypic variance in Cd accumulation of F(2) lines. The results indicated that qRCd9 is a novel QTL responsible for controlling root Cd accumulation in radish, and the identification of specific molecular markers tightly linked to the major QTL could be further applied for marker-assisted selection (MAS) in low-Cd content radish breeding program.     

Mapping of putative quantitative trait loci controlling the total oligosaccharide and sucrose content of Glycine max seeds

Although oligosaccharides and sucrose are very important nutritional components of soybean seeds, little information is available about inheritance of oligosaccharide and sucrose content. The objective of this study was to identify quantitative trait loci (QTLs) that determine the oligosaccharide and sucrose content of soybean. The 117 F_2:10 recombinant inbred lines developed from a cross of “Keunolkong” and “Shinpaldalkong” were used. Narrow-sense heritability estimates, on a plot mean basis, of oligosaccharide and sucrose content were 79.07 and 74.84%, respectively. Four QTLs for oligosaccharide content were located on linkage groups (LG) C2, H, J, and L. Sucrose content was related with two QTLs located on LG H and J. Total oligosaccharide and sucrose content have two common QTLs on LG H and J.     

Genetic mapping of QTLs conditioning soybean sprout yield and quality

Soybean sprouts have been used as a food in the Orient since ancient times. In this study, 92 restriction fragment length polymorphism (RFLP) loci and two morphological markers (W1 and T) were used to identify quantitative trait loci (QTLs) associated with soybean sprout-related traits in 100 F₂-derived lines from the cross of ’Pureunkong’×’Jinpumkong 2’. The genetic map consisted of 76 loci which covered about 756 cM and converged into 20 linkage groups. Eighteen markers remained unlinked. Phenotypic data were collected in 1996 and 1997 for hypocotyl length, percentage of abnormal seedlings, and sprout yield 6 days after germination at 20°C. Hypocotyl length was determined as the average length from the point of initiation of the first secondary root to the point of attachment of the cotyledons. The number of decayed seeds and seedlings, plus the number of stunted seedlings (less than 2-cm growth), was recorded a s abnormal seedlings. Seed weight was determined based on the 50-seed sample. Sprout yield was recorded as the total fresh weight of soybean sprouts produced from the 50-seed sample divided by the dry weight of the 50-seed sample. Four QTLs were associated with sprout yield in the combined analysis across 2 years. For the QTL linked to L154 on the Linkage Group (LG) G the positive allele was derived from Pureunkong (R ² = 0.19), whereas at the other three QTLs (A089 on LG B1, A668n on LG K and B046 on LG L) the positive alleles were from Jinpumkong 2. QTLs conditioning seed weight were linked to markers A802n (LG B1), A069 (LG E), Cr321 (LG F) and A235 (LG G). At these four markers, the Jinpumkong allele increased seed weight. Markers K011n on LG B1, W1 on LG F and A757 on LG L were linked to QTLs conditioning hypocotyl length; and Bng119, K455n and K418n to QTLs conditioning the abnormal seedlings. The QTLs conditioning sprout yield were in the same genomic locations as the QTLs for seed weight identified in this population or from previously published research, indicating that QTLs for sprout yield are genetically linked to seed-weight QTLs or else that seed-weight QTLs pleiotropically condition sprout yield. These data demonstrate that effective marker-assisted selection may be feasible for enhancing sprout yield in a soybean. The transgressive segregation of sprout yield, as well as the existence of two QTLs conditioning greater than 10% of the phenotypic variation in sprout yields provides an opportunity to select for progeny lines with a greater sprout yield than currently preferred cultivars such as Pureunkong. Received: 23 August 2000 / Accepted: 23 January 2001     

Quantitative trait locus analysis for rice panicle and grain characteristics

 The development of molecular genetic maps has accelerated the identification and mapping of genomic regions controlling quantitative characters, referred to as quantitative trait loci or QTLs. A molecular map derived from an F₂ population of a tropical japonica×indica cross (Labelle/Black Gora) consisted of 116 restriction fragment length polymorphism (RFLP) markers. Composite interval mapping was used to identify the QTLs controlling six panicle and grain characteristics. Two QTLs were identified for panicle size at LOD>3.0, with one on chromosome 3 accounting for 16% of the phenotypic variation. Four loci controlling spikelet fertility accounted for 23% of the phenotypic variation. Seven, four, three and two QTLs were detected for grain length, breadth, shape and weight, respectively, with the most prominent QTLs being on chromosomes 3, 4, and 7. Grain shape, measured as the ratio of length to breadth, was mostly controlled by loci on chromosomes 3 and 7 that coincided with the most important QTLs identified for length and breadth, respectively. A model including three loci accounted for 45% of the phenotypic variation for this trait. The identification of economically important QTLs will be useful in breeding for improved grain characteristics. Received: 18 July 1997 / Accepted: 9 December 1997     

An AFLP, SRAP, and SSR Genetic Linkage Map and Identification of QTLs for Fruit Traits in Pear (Pyrus L.)

In this study, a population of 97 F₁ seedlings from a cross between the interspecific hybrid (European × Chinese species) pear ‘Bayuehong’ (BYH) and the Chinese pear ‘Dangshansuli’ (DS) was used for establishing linkage maps and for quantitative trait loci (QTL) discovery. Using amplified length polymorphism (AFLP), simple sequence repeat (SSR), and sequence-related amplified polymorphism (SRAP) markers, along with the S locus for self-incompatibility, two parental linkage maps were constructed. The map of BYH consisted of 214 markers (143 AFLPs, 64 SRAPs, 6 SSRs, and S) mapped on all 17 linkage groups of the pear genome with a total length of 1,352.7 cM. The map of DS was comprised of 122 markers (83 AFLPs, 37 SRAPs, 1 SSR, and S) distributed along all 17 linkage groups and covering 1,044.3 cM. Based on phenotypic data from two successive years (2007 and 2008) for six fruit traits, including fruit weight (in grams), fruit diameter (in centimeters), fruit length (in centimeters), soluble solids content, fruit shape index, and maturity date, 19 QTLs were detected. These QTLs were mapped on LG 01, LG 02, LG 05, LG 07, LG 08, LG 10 of the BYH map and LG 02, LG 06, LG 15 of the DS map and accounting for 7.1 to 22.0 % of the observed phenotypic variance. Four QTLs, Pfi-8-1 for fruit shape index, Pfm-8-1 for fruit maturity date, Pfw-7-1 and Pfw-8-1 for fruit weight (in grams), with LOD scores ≥3.5, were deemed as major genes. QTLs Pfi-8-1, Pfm-8-1, and Pfw-8-1 were co-localized on LG 08 of the BYH map, along with Pfl-8-1 for fruit length. It was observed that on LG 07 of the BYH map, QTLs for fruit length, fruit shape index, and fruit weight were clustered. When QTL locations from both years were compared, Pfl-7-1 and Pfl-7-2 for fruit length, Pfi-2-1 and Pfi-2-2 for fruit shape index, and Pfm-8-1 and Pfm-8-2 for fruit maturity date were stably mapped onto the same linkage groups, respectively. Moreover, Pfm-8-1 and Pfm-8-2 were also located within the same region of LG 08 of the BYH map.