绿豆产量相关农艺性状的QTL定位

绿豆育种的目标性状大多是受多基因控制的数量性状,表现型受环境影响很大。为深入分析绿豆复杂数量性状的遗传特征,本试验以绿豆Berken/ACC41 F10重组近交系群体为作图群体,利用该群体已经构建的包含79个RFLP标记的分子连锁图谱对北京和广西2个种植环境下考察的11个绿豆产量相关农艺性状进行QTL定位。结果表明,2个环境下共检测到产量相关性状QTL 63个（其中北京25个,广西38个）,分布于除第13连锁群以外的12条连锁群。大部分QTL只在单一环境下被检测到,说明产量相关QTLs与环境之间存在明显的互作。2个环境均能检测到的QTL仅有6个,分别为控制荚长、百粒重、生育期的QTLs,这6个在不同生态环境下同时发挥效应的QTLs对于绿豆分子标记辅助育种具有特殊的意义。研究还发现2个QTLs富集区域和若干成束分布的QTLs,它们可能是发掘通用QTL的候选位点。     

绿豆11个农艺性状相关基因的QTL定位

绿豆是我国传统的杂粮作物,遗传研究基础薄弱,优异基因发掘和资源利用效率低下。本研究在前期SNP高密度遗传连锁图谱的基础上,基于重组自交系群体的株高、主茎分枝、荚长、荚宽、单荚粒数、种皮色、种皮光泽、籽粒分布密度、初花期、叶绿素含量、百粒重等11个表型性状的数据调查分析及QTL定位研究。结果表明,绿豆种皮色为简单单基因控制,种皮光泽的遗传则较为复杂,数量性状中除百粒重外均不符合正态分布。11个性状共检测到20个QTL,分布在8个连锁群的14个非重叠区间。其中LG5、LG3、LG10分别检测到多个性状相关QTL,且定位区间重合。荚宽检测到的QTL最多,分别位于LG1、LG5、LG7和LG11,表型贡献率为5.5%～12.3%不等。单荚粒数、种皮光泽、种皮色及主茎分枝则各检测到单个QTL,其中种皮光泽（LG5）和种皮色（LG4）QTL位点的表型贡献率分别是61.0%和69.7%。结合KEGG和SNP变异分析,发现18个与农艺性状有关的候选基因。本研究结果将有助于提升绿豆分子遗传学研究水平,为新基因发掘及分子标记辅助育种奠定基础。     

橡胶树与胶乳产量相关性状的QTL定位

对橡胶树株产干胶等与胶乳产量相关性状进行了QTL分析。以热研88-13×IAN873杂交授粉子代F1群体为材料,测定其株产干胶、干胶含量、乳管列数、乳管个数和乳管大小等与橡胶树胶乳产量相关的性状,利用FsQtlMap 1.0软件,复合区间作图法(CIM,composite interval mapping),以已构建的SSR连锁图谱为基础进行QTL分析。结果显示,各性状偏度和峰度符合正态分布,除乳管大小外,各性状的平均值和方差有较大变化;株产干胶的变异系数最大,各因子的变异系数顺序为株产干胶>乳管个数>乳管列数>乳管大小>干胶含量;LOD阈值大于2.5,检测到与株产干胶相关的QTL 5个,分别可解释71.3%、69.1%、68.3%、64.4%和62.9%的群体变异,与乳管大小相关的QTL 3个,分别可解释84.5%、81.3%和15.4%的群体变异,未检测到与其他性状相关的QTL。     

7个烤烟产量相关性状的QTL定位分析

以烤烟Y3和K326为亲本,采用单粒传法(SSD)获得一个包含262个F6株系的重组自交系群体(RILs)。基于该群体构建了一张含有24个连锁群、626个SSR标记,总长为1 120.45cM的遗传图谱。通过两年一点3次重复的随机区组田间试验,测定了株高、节距、叶数、茎围、茎叶角度、腰叶长和腰叶宽7个与产量相关农艺性状,采用混合线性模型的严格复合区间作图法(rMQM)在烟草全基因组范围内进行QTL扫描分析。结果显示:(1)烤烟7个目标性状在RILs群体内各株系间存在较大范围的连续变异,具有显著的双向超亲分离,且各性状的平均值很接近中亲值;7个农艺性状的平均广义遗传率为73.33%,其中株高和节距的广义遗传率在80%以上,而茎围和茎叶角度的广义遗传率则低于60%,表明7个与烤烟产量相关的农艺性状是既受微效多基因控制又受环境条件影响的数量性状。(2)共检测到30个QTLs分布在9条连锁群上,其中与株高、节距、叶数、腰叶长和腰叶宽相关的5个主效QTLs在连续两年中均可检测到,且具有较大的效应值,可解释大于10%的表型变异。(3)7个目标性状之间存在一定程度的相关性,与之对应在基因组中也存在一些较小区域,每个区域包含2个或2个以上紧密连锁的不同性状的QTLs。烟草产量相关农艺性状的QTL分析和主效QTLs的获得,为进一步利用分子标记辅助选择培育烟草高产新品种奠定了理论基础。     

水稻产量相关QTL研究现状

产量是最为复杂的数量性状,对它的遗传机理了解甚微。近15年来,许多学者利用随机分离群体定位了许多影响水稻产量及其组分的QTL,即以QTL定位的方法对产量潜力进行遗传剖析。试验证明上位性效应对产量及其组分性状遗传变异起着重要作用,但目前大多数QTL研究仍侧重于发掘和克隆单个主效QTL,然而对单一基因／QTL的深入了解还不足以诠释复杂性状遗传基础的全貌,还没有为育种家提供足够的可应用于分子标记辅助育种的遗传信息并用于提高水稻产量。笔者认为今后的数量性状研究尚需加强复杂性状QTL遗传网络的发掘,在改良水稻品种性状的同时发展并完善QTL研究。     

苹果叶片相关性状的QTL定位及其遗传效应分析

利用苹果栽培品种‘红富士’和新疆野苹果优系‘红肉苹果’杂交的110个F1株系为作图群体,构建了苹果的分子遗传图谱,采用区间作图法对苹果9个叶片相关性状(叶片长度、叶片宽度、叶片厚度、叶柄长度、叶片面积、总叶绿素含量、叶绿素a含量、叶绿素b含量和类胡萝卜素含量)进行了QTL定位分析。结果显示:从110个F1株系中共检测到20个控制叶片相关性状的QTL位点,分布在第1、2、3、4、5、7、8、10、11、12、16、17连锁群上;各QTL位点的LOD值在2.58~3.55之间,其中主效QTL位点2个(LOD≥3.5),可解释11.63%~16.36%的表型变异。获得紧密连锁的特异标记(CH05d11-435m、CH04c06-201m)为进一步进行QTL精细定位提供了参考。     

大豆耐旱种质鉴定和相关根系性状的遗传与QTL定位

从301份黄淮海和长江中下游地区代表性大豆地方品种和育成品种(系)中按根系类型选取59份,在苗期干旱胁迫和非胁迫条件下对地上部和地下部性状进行2年重复鉴定,发现材料间性状隶属函数值具有丰富遗传变异,以株高、叶龄、根干重和茎叶干重隶属函数的算术平均数为抗旱综合指标从中筛选出汉中八月黄、晋豆14,科丰1号,圆黑豆等强耐旱型(1级)和临河大粉青、宁海晚黄豆等干旱敏感型(5级)材料。比根干重、比总根长、比根体积与耐旱隶属函数平均值均呈极显著正相关,可作为耐旱性的根系性状指标。利用“科丰1号×南农1138 2”(1级×4级)衍生的RIL群体为材料,对耐旱相关根系性状采用主基因 多基因混合遗传模型分离分析法进行遗传分析并进行QTL定位。结果表明,该两亲本间比根干重、比总根长、比根体积的遗传均为两对主基因加多基因模型,后两者主基因间有连锁(重组率分别为4.30%和1.93%);主基因遗传率为62.26%～91.81%,多基因遗传率为2.99%～24.75%;耐旱相关根系性状各主要由1对主基因控制,另1对效应较小。QTL分析检测到5、3、5个QTLs分别控制比根重、比根总长、比根体积,位于N6 C2、N8 D1b W、N11 E、N18 K连锁群上。3性状各有1个贡献率大的QTL(Dw1,Rl1,Rv1),而且均位在N6 C2的STAS8_3T STAS8_6T相同距离的区段上,其他QTLs效应均较小。分离分析与QTL定位的结果相对一致。     

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。     

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5个农艺性状的QTL定位

利用“豫玉22”构建的266个玉米F2：3家系为材料,通过一年两点的随机区组田间试验和分子标记分析,研究了玉米穗位高、雄穗分支数、茎粗、抽雄期、吐丝期5个重要农艺性状。相关分析表明,穗位高、雄穗分支数、茎粗与单株产量显著正相关,抽雄期与吐丝期高度正相关,雄穗分支数与茎粗显著正相关。采用复合区间作图法,通过500次排列测验分别确定各性状的LOD阈值,在武汉和襄樊两地共定位了7个穗位高QTL、9个雄穗分支数QTL、8个茎粗QTL、9个抽雄期QTL和7个吐丝期QTL;这些QTL在染色体上分布不均匀,具有集中分布的特点。研究表明,数量性状间的表型相关可能源于控制数量性状的QTL位点间的相关。     

Analysis of QTLs for yield-related traits in Yuanjiang common wild rice （Oryza rufipogon Griff.）

Using an accession of common wild rice(Oryza rufipogon Griff.)collected from Yunnjiang County,Yunnan Province,China,as the donor and an elite cnltivar 93-11,widely used in two-line indica hybrid rice production in China,as the recurrent parent,an advanced backcross populations were developed.Through genotyping of 187 SSR markers and investigation of six yield-related traits of two generations(BC4F2 and BC4F4),a total of 26 QTLs were detected by employing single point analysis and interval mapping in both generations.Of the 26 QTLs,the alleles of 10(38.5%)QTLs originating from O.rufipogon had shown a beneficial effect for yield-related traits in the 93-11 genetic background.In addition,five QTLs controlling yield and its components were newly identified,indicating that there arc potentially novel alleles in Yuanjiang common wild rice.Three regions underling significant QTLs for several yield-related traits were detected on chromosome 1,7 and 12.The QTL clusters were founded and corresponding agronomic traits of those QTLs showed highly significant correlation,suggesting the pleiotropism or tight linkage.Fine-mapping and cloning of these yield-related QTLs from wild rice would be helpful to elucidating molecular mechanism of rice domestication and rice breeding in the future.     

Analysis of QTLs for yield-related traits in Yuanjiang common wild rice (Oryza rufipogon Griff.)

Using an accession of common wild rice (Oryza rufipogon Griff.) collected from Yuanjiang County, Yunnan Province, China, as the donor and an elite cultivar 93-11, widely used in two-line indica hybrid rice production in China, as the recurrent parent, an advanced backcross populations were developed. Through genotyping of 187 SSR markers and investigation of six yield-related traits of two gen- erations (BC4F2 and BC4F4), a total of 26 QTLs were detected by employing single point analysis and inte...     

Results of a whole genome scan targeting QTL for growth and carcass traits in a Piétrain × Large White intercross

We herein report the results of a whole genome scan performed in a Piétrain × Large White intercross counting 525 offspring to map QTL influencing economically important growth and carcass traits. We report experiment-wide significant lod scores (> 4.6 for meatiness and fat deposition on chromosome SSC2, and for average daily gain and carcass length on chromosome SSC7. Additional suggestive lod scores (> 3.3) for fat deposition are reported on chromosomes SSC1, SSC7 and SSC13. A significant dominance deviation was found for the QTL on SSC1, while the hypothesis of an additive QTL could not be rejected for the QTL on SSC7 and SSC13. No evidence for imprinted QTL could be found for QTL other than the one previously reported on SSC2.     

Detection and validation of EST-SSR markers associated with sugar-related traits in sugarcane using linkage and association mapping

Sugar-related traits are of great importance in sugarcane breeding. In the present study, quantitative trait loci (QTL) mapping validated with association mapping was used to identify expressed sequence tag-simple sequence repeats (EST-SSRs) associated with sugar-related traits. For linkage mapping, 524 EST-SSRs, 241 Amplified Fragment Length Polymorphisms, and 10 genomic SSR markers were mapped using 283 F₁ progenies derived from an interspecific cross. Six regions were identified using Multiple QTL Mapping, and 14 unlinked markers using single marker analysis. Association analysis was performed on a set of 200 accessions, based on the mixed linear model. Validation of the EST-SSR markers using association mapping within the target QTL genomic regions identified two EST-SSR markers showing a putative relationship with uridine diphosphate (UDP) glycosyltransferase, and beta-amylase, which are associated with pol and sugar yield. These functional markers can be used for marker-assisted selection of sugarcane.     

Identification of quantitative trait loci for wood quality and growth across eight full-sib coastal Douglas-fir families

Typical linkage and quantitative trait locus (QTL) analyses in forest trees have been conducted in single pedigrees with sex-averaged linkage maps. The results of a QTL analysis for wood quality and growth traits of coastal Douglas-fir using eight full-sib families, each consisting of 40 progeny, replicated on four sites are presented. The resulting map of segregating genetic markers consisted of 120 amplified fragment length polymorphism (AFLP) loci distributed across 19 linkage groups. The wood quality traits represent the widest suite of traits yet examined for QTL analysis in a tree species in a single study. Wood fiber traits showed the lowest number of QTLs (3) with relatively small effect (ca. 4%); wood density traits also showed just three QTLs but with slightly larger effect; wood chemistry traits showed more QTLs (7), while ring density traits showed many QTLs with large numbers of QTLs (78) and interesting patterns of temporal variation. Growth traits gave just five QTLs but of major effect (10–16%). Trees, with their long generation times, provide a rich resource for studies of temporal variation of QTL expression.     

QTL analysis: a simple ‘marker-regression’ approach

A method to locate quantitative trait loci (QTL) on a chromosome and to estimate their additive and dominance effects is described. It applies to generations derived from an F₁ by selfing or backcrossing and to doubled haploid lines, given that marker genotype information (RFLP, RAPD, etc.) and quantitative trait data are available. The method involves regressing the additive difference between marker genotype means at a locus against a function of the recombination frequency between that locus and a putative QTL. A QTL is located, as by other regression methods, at that point where the residual mean square is minimised. The estimates of location and gene effects are consistent and as reliable as conventional flanking-marker methods. Further applications include the ability to test for the presence of two, or more, linked QTL and to compare different crosses for the presence of common QTL. Furthermore, the technique is straightforward and may be programmed using standard pc-based statistical software.     

Genomic regions underlying agronomic traits in linseed （Linum usitatissimum L.） as revealed by association mapping

The extreme climate of the Canadian Prairies poses a major chal enge to improve yield. Although it is possible to breed for yield per se, focusing on yield-related traits could be advantageous because of their simpler genetic architecture. The Canadian flax core col ection of 390 accessions was genotyped with 464 simple sequence repeat markers, and phenotypic data for nine agronomic traits including yield, bol s per area, 1,000 seed weight, seeds per bol , start of flowering, end of flowering, plant height, plant branching, and lodging col ected from up to eight environments was used for association mapping. Based on a mixed model （principal component analysis （PCA） t kinship matrix （K））, 12 significant marker-trait associations for six agronomic traits were identi-fied. Most of the associations were stable across environments as revealed by multivariate analyses. Statistical simulation for five markers associated with 1000 seed weight indicated that the favorable al eles have additive effects. None of the modern cultivars carried the five favorable al eles and the maximum number of four observed in any accessions was mostly in＆amp;nbsp;breeding lines. Our results confirmed the complex genetic architecture of yield-related traits and the inherent difficulties associated with their identification while il ustrating the potential for improvement through marker-assisted selection.     

Genetic mapping of QTLs affecting productivity and plant architecture in a full-sib cross from non-inbred parents in Cassava (<Emphasis Type="Italic">Manihot esculenta</Emphasis> Crantz)

An attempt was made to identify quantitative trait loci (QTLs) for several productivity and plant architecture traits in a full-sib progeny of 144 individuals from two non-inbred parents in cassava. A molecular linkage map of this cross constructed previously with over 250 markers was the source of molecular markers. The progeny were grown under field conditions at two locations (Palmira and Quilichao) in Colombia and evaluated in 2 years (1998 and 1999) for architecture and productivity traits. Architecture traits evaluated were plant height (PH), branching height (BH), branching levels (BL), branching index (BI), stem portion with leaves (SPL) and leaf area index (LAI). Productivity traits were those related to total dry matter production and distribution, namely fresh root yield (FRY), fresh shoot yield (FSY), harvest index (HI) and the number of storage roots (NR). Phenotypic evaluation of the traits in this population revealed continuous variation for all traits. Broad-sense heritability estimates, ranged from 36% (for NR) to 94% (for BH). Several significant phenotypic correlations were observed between architecture and productivity traits. Primary QTLs, using the single-QTL model, and secondary QTLs, by a primary QTL interaction model, were detected by interval mapping. A total of 30 primary QTLs and 84 secondary QTLs were detected. We identified 35% of detected QTLs in two or more trials, the other QTLs were environment-specific. These results underscore the significant genotype × environment interactions found for most of the traits. Several genomic segments affecting multiple traits were identified and were in agreement with correlation among traits. All QTLs identified for FRY were found associated with either component traits of productivity or architecture traits. This study suggests that QTLs for plant architecture can be used to improve productivity. However an exhaustive search and analysis of QTLs controlling architecture is required before marker-assisted selection (MAS) for increasing productivity can be initiated.Communicated by H. C. Becker