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1.
水稻叶片性状和根系活力的QTL定位   总被引:12,自引:2,他引:10  
应用由247个株系组成的珍汕97B/密阳46重组自交系(RIL)群体及其分子标记连锁图谱,检测控制剑叶、倒二叶、倒三叶的5个形态性状和控制根系伤流量性状的数量性状座位(QTL)。在9个标记区间检测到控制叶片形态性状的24个QTL,LOD值为2.9~11.8,单个QTL的表型变异贡献率为4.0%~32.5%;分别检测到56对和4对控制叶片形态和根系活力的上位性互作,绝大多数互作发生在2个不表现加性效应的座位之间。与该群体产量性状QTL的研究结果相比较,发现控制叶片性状和根系活力的QTL与产量性状QTL往往处于相似的染色体区间。  相似文献   

2.
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.  相似文献   

3.
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12.06 cM,全长893 cM,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。  相似文献   

4.
利用小麦中国春(母本)和兰考大粒(父本)F2群体构建了169个标记的分子遗传图谱,将F2∶3家系分别种植于3个环境中,利用基于完备区间混合模型的单环境作图模型和多环境作图模型对小麦籽粒容重、硬度、蛋白含量和结合水含量性状进行了QTL分析。结果显示:(1)两种作图模型下,检测到容重的6个共同QTL(QTW-6B-6、QTW-7B-6、QTW-7B-9、QTW-5D-2、QTW-6D-1、QTW-6D-4),单环境模型下遗传贡献率为1.99%~6.57%,多环境模型下遗传贡献率为3.66%~20.07%,其中QM TW-7B-9、QM TW-6D-1和QM TW-6D-4在多环境模型中表现为主效QTL。(2)检测到硬度的3个共同QTL(QHD-4A-5、QHD-7A-1和QHD-7B-9),单环境模型下的遗传贡献率为6.00%~6.95%,多环境模型中遗传贡献率为5.43%~9.64%。(3)检测到蛋白含量1个共同QTL(QPR-6D-1),单环境模型下的遗传贡献率为5.39%,多环境模型中遗传贡献率为10.06%,表现为主效QTL。(4)检测到籽粒结合水含量1个共同QTL(QMO-1B-4),单环境模型下的遗传贡献率为39.20%,多环境模型下的遗传贡献率为75.01%,均表现为主效QTL。(5)1B染色体上存在同时控制籽粒容重、硬度、蛋白和结合水含量的QTL,说明1B染色体对小麦品质的影响可能很大。研究表明,小麦容重、硬度、蛋白含量、结合水含量的遗传主要受加性效应控制。该研究初步定位的一些重要QTL可为进一步精细定位、基因挖掘和育种早代品质性状分子标记辅助选择提供依据。  相似文献   

5.
玉米优异早熟种质单330开花相关性状的QTL分析   总被引:4,自引:0,他引:4  
玉米开花相关性状与玉米的成熟期和产量有密切的联系。通过对玉米CN165×单330(早熟种质)群体的130个F2:3家系开花相关性状在3个环境下进行分子鉴定和数量性状位点(QTL)分析,结果表明,在3个环境中检测到控制抽雄天数的10个QTL,分别位于第2、3、4、5、7、8染色体上,在第8染色体上同一区域在3种环境下都检测到了QTL;检测到控制散粉天数的10个QTL,分别位于第1、2、3、5、7、8染色体上,在第8染色体上同一区域在2种环境下都检测到了QTL;检测到控制吐丝天数的4个QTL,分别位于第4、5、8染色体上,在第8染色体不同环境下都检测到了2个QTL;仅仅在一个环境中检测到控制ASI的2个QTL,分别位于第6、9染色体上。这些QTL的基因效应以部分显性和超显性为主。研究表明,第8染色体上ph i060-um c2401区域(8.03~8.04)是一个研究开花相关性状的重要基因组区段,涉及到的标记可以作为分子标记辅助选择的重要候选标记。  相似文献   

6.
小麦株高性状的QTL分析   总被引:10,自引:0,他引:10  
自20世纪60年代农林10号矮秆基因被用于小麦育种以来,矮化育种成为世界范围内势不可挡的趋势,矮秆基因研究被越来越多的育种专家重视,先后鉴定出20余个矮秆基因,并应用其中6,7个基因,培育了大批丰产潜力大的半矮秆品种,应用矮秆冬小麦吕系DN3338(♀)和F390(♂)杂交得到的F2:3群体,研究小麦株高的遗传基础,以控制株高的数量性状基因座进行定位,利用240个F2:3家系,构建了含215个微卫星标记,覆盖3600cM,由21个连锁群组成的遗传 连锁图谱,并对该群体进行了4个环境(2年:2000年和2001年,2点:北京和石家庄)3重复的田间种植;采用区间作图法,对该群体的株高性状进行了QTL分析。结果表明:7个影响株高的QTL分别位于染色体1B,4B(2个),6A(2个),6D和7A上,每个QTL能解释5.2%-50.1%的表型变异,每个环境条件下检测出的所有QTL能解释64.8%-75%,的表型变异,除了7A上的QTL外,其他6个降低株高的QTL均来自ND3338,其效应介于0.94cm-9.33cm之间,且其中的4个在所有的环境下都能被检测出来,具有较高的稳定性,在4BS的Xgwm113标记附近有一主效QTL,其在不同的环境下能降低株高7.91cm-9.33cm,解释27.8%-36.2%,的表型变异,有着同农林10号中Rht-Blb相近的效应;同时在4BS上还发现一个和地点互作的QTL,该QTL在石家庄的两年试验中均被检测到,且有较大的效应值(80cm和7.6cm),因此,认为大部分的QTL能在所有的环境中检测到,这些QTO可以被用于品种改良和分子标记辅助选择育种。  相似文献   

7.
水稻低温发芽性QTL的分子标记定位   总被引:8,自引:0,他引:8  
利用1个粳/籼交来源的重组自交系群体,采用纸卷法在15℃低温条件下进行发芽试验,在发芽培养的6~14d中每天观测统计1次发芽率(%)。结合一张含有198个DNA标记的连锁图谱,用复合区间作图法定位水稻低温发芽性QTL。共检测到7个主效应QTL,分别位于水稻1、3、5、6和8号染色体上,单个QTL对性状的贡献率为5%~16%。其中,位于3号染色体标记区间RM148-RM85的qLTG-3-2和位于8号染色体标记区间RM223-RM210的qLTG-8-1对性状的贡献率最大,分别达16%和14%。QTL qLTG-3-2在发芽培养6~10d中表达,其效应由强渐弱,对性状的贡献率由发芽培养6d时的16.4%逐渐降低为发芽11d时的5.1%;而QTL qLTG-8-1则在发芽培养9~14d中起作用,其效应值由小逐渐增大,对性状的贡献率由发芽9d时的8.6%逐渐上升为发芽13~14d的14%。尽管这2个QTL加性效应的大小在低温发芽过程中按一定趋势变化,但加性效应的方向始终是一致的。QTL qLTG-3-2的增效基因来源于亲本特青,而QTL qLTG-8-1的增效基因来自于亲本Lemont。这2个QTL的增效等位基因有望作为分子标记辅助育种的操作对象,用于水稻品种低温发芽性的遗传改良。  相似文献   

8.
猪胴体脂肪沉积性状的QTL定位   总被引:15,自引:2,他引:13  
市场生猪价格的决定因素之一是背膘厚度,因此,对养猪行业来说,确认影响这一性状的基因组区域就显得非常必要,1998年,由大白和梅山猪杂交繁殖的资源家系,随机选留81头F2,全部屠宰,用48个微卫星标记进行1-4,6-7号染色体(SSC)的扫描,用线性模型最小二乘法对胴体脂肪性状进行区间作图,除SSC2外,其余5条染色体共有14个QTL影响脂肪沉积,其中SSC7上4个QTL有印记效应存在,平均背膘厚QTL定位于SSC1,4和7,SSC4平均背膘厚QTL达染色体极显著水平(P<0.01),SSC1和7上平均背膘厚STL与多个文献报道结果一致,可能是家猪中普遍存在的QTL,花油率QTL定位于SSC6,内脂率QTL定位于SSC7,肥肉率等其他4项脂肪性状定位在SSC3,4和7。  相似文献   

9.
利用双单倍体群体剖析水稻产量及其相关性状的遗传基础   总被引:23,自引:0,他引:23  
主效QTL、上位性效应和它们与环境的互作(QE)都是数量性状的重要遗传因素。利用籼粳交珍汕97/武育粳2号F1植株上的花药进行组织培养得到的190个双单倍体群体和179个微卫星标记,通过两年两重复田间试验,采用混合线性模型方法分析了9个控制水稻产量及其相关性状的遗传效应,得到57个主效QTL,41对上位性互作,8对QTL与环境的互作和7对上位性效应与环境的互作。单个主效QTL解释这些性状1.3%~25.8%的表型方差。各性状QTL的累积表型贡献率达11.5%~66.8%。大多数性状之间具有显著的表型相关性,相关性较高的性状之间常具有较多共同或紧密连锁的QTL。结果表明,基因的多效性或紧密连锁可能是性状相关的重要遗传基础。  相似文献   

10.
性状遗传力与QTL方差对标记辅助选择效果的影响   总被引:3,自引:0,他引:3  
鲁绍雄  吴常信  连林生 《遗传学报》2003,30(11):989-995
在采用动物模型标记辅助最佳线性无偏预测方法对个体育种值进行估计的基础上,模拟了在一个闭锁群体内连续对单个性状选择10个世代的情形,并系统地比较了性状遗传力和QTL方差对标记辅助选择所获得的遗传进展、QTL增效基因频率和群体近交系数变化的影响。结果表明:在对高遗传力和QTL方差较小的性状实施标记辅助选择时,可望获得更大的遗传进展;遗传力越高,QTL方差越大,则QTL增效基因频率的上升速度越快;遗传力较高时,群体近交系数上升的速度较为缓慢,而QTL方差对群体近交系数上升速度的影响则不甚明显。结合前人关于标记辅助选择相对效率的研究结果,可以认为:当选择性状的遗传力和QTL方差为中等水平时,标记辅助选择可望获得理想的效果。  相似文献   

11.
A segregating population of F1-derived doubled haploid (DH) lines of Brassica oleracea was used to detect and locate QTLs controlling 27 morphological and developmental traits, including leaf, flowering, axillary bud and stem characters. The population resulted from a cross between two very different B. oleracea crop types, an annual cauliflower and a biennial Brussels sprout. A principal component analysis (PCA), based on line means, allowed all the traits to be grouped into distinct categories according to the first five Principal Components. These were: leaf traits (PC1), flowering traits (PC2), axillary bud traits (PC3 and 5) and stem traits (PC4). Between zero and four putative QTL were located per trait, which individually explained between 6% and 43% of the additive genetic variation, using the multiple-marker regression approach to QTL mapping. For lamina width, bare petiole length and stem length two QTL with opposite effects were detected on the same linkage groups. Intra- and inter-specific comparative mapping using RFLP markers identified a QTL on linkage group O8 accounting for variation in vernalisation, which is probably synonymous with a QTL detected on linkage group N19 of Brassica napus. In addition, a QTL for petiole length detected on O3 of this study appeared to be homologous to a QTL detected on another B. oleracea genetic map (Camargo et al. 1995). Received: 28 March 2001 / Accepted: 25 June 2001  相似文献   

12.
凤丹栽培群体的表型变异研究   总被引:1,自引:0,他引:1  
从我国6个凤丹(Paeonia ostii T.Hong et J.X.Zhang)中心产区,选取15个群体共398个单株,对20个表型性状进行调查和分析。结果显示,枝条数、地径、株高、茎长、冠幅长、冠幅宽、成花枝、芽位数、叶长和叶宽等10个表型性状受植株株龄的影响显著,随着株龄增加,除叶长和叶宽的平均值呈递减趋势外,其他8个性状的平均值都呈现递增趋势。凤丹群体间的表型分化系数为0~50.14%,平均值为27.62%,变化幅度最大的是二年生枝长,最小的为心皮数和二年生枝径。对当年生枝长、芽位高、当年生枝径、顶生小叶长、二年生枝径、顶生小叶宽、复叶数、心皮数、二年生枝长和叶柄长等不受株龄影响的10个表型性状进行主成分分析,结果显示前6个性状是影响表型差异的主要性状。各表型性状间存在一定的相关性,聚类分析结果将受株龄影响的10个性状划分为4组。研究结果表明凤丹表型性状在群体间和群体内的变异非常丰富,可为遗传改良和品种选育储备丰富的植物材料。  相似文献   

13.
The first quantitative trait locus (QTL) analysis of multiple agronomic traits in the model legume Lotus japonicus was performed with a population of recombinant inbred lines derived from Miyakojima MG-20 x Gifu B-129. Thirteen agronomic traits were evaluated in 2004 and 2005: traits of vegetative parts (plant height, stem thickness, leaf length, leaf width, plant regrowth, plant shape, and stem color), flowering traits (flowering time and degree), and pod and seed traits (pod length, pod width, seeds per pod, and seed mass). A total of 40 QTLs were detected that explained 5%-69% of total variation. The QTL that explained the most variation was that for stem color, which was detected in the same region of chromosome 2 in both years. Some QTLs were colocated, especially those for pod and seed traits. Seed mass QTLs were located at 5 locations that mapped to the corresponding genomic positions of equivalent QTLs in soybean, pea, chickpea, and mung bean. This study provides fundamental information for breeding of agronomically important legume crops.  相似文献   

14.
Wide variation for morphological traits exists in Brassica rapa and the genetic basis of this morphological variation is largely unknown. Here is a report on quantitative trait loci (QTL) analysis of flowering time, seed and pod traits, growth-related traits, leaf morphology, and turnip formation in B. rapa using multiple populations. The populations resulted from crosses between the following accessions: Rapid cycling, Chinese cabbage, Yellow sarson, Pak choi, and a Japanese vegetable turnip variety. A total of 27 QTL affecting 20 morphological traits were detected, including eight QTL for flowering time, six for seed traits, three for growth-related traits and 10 for leaf traits. One major QTL was found for turnip formation. Principal component analysis and co-localization of QTL indicated that some loci controlling leaf and seed-related traits and those for flowering time and turnip formation might be the same. The major flowering time QTL detected in all populations on linkage group R02 co-localized with BrFLC2. One major QTL, controlling turnip formation, was also mapped at this locus. The genes that may underly this QTL and comparative analyses between the four populations and with Arabidopsis thaliana are discussed.  相似文献   

15.
Hordeum vulgare subsp. spontaneum is the progenitor of cultivated barley (Hordeum vulgare L.). Domestication combined with plant breeding has led to the morphological and agronomic characteristics of modern barley cultivars. The objective of this study was to map the genetic factors that morphologically and agronomically differentiate wild barley from modern barley cultivars. To address this objective, we identified quantitative trait loci (QTLs) associated with plant height, flag leaf width, spike length, spike width, glume length in relation to seed length, awn length, fragility of ear rachis, endosperm width and groove depth, heading date, flag leaf length, number of tillers per plant, and kernel color in a Harrington/OUH602 advanced backcross (BC2F8) population. This population was genotyped with 113 simple sequence repeat markers. Thirty QTLs were identified, of which 16 were newly identified in this study. One to 4 QTLs were identified for each of the traits except glume length, for which no QTL was detected. The portion of phenotypic variation accounted for by individual QTLs ranged from about 9% to 54%. For traits with more than one QTL, the phenotypic variation explained ranged from 25% to 71%. Taken together, our results reveal the genetic architecture of morphological and agronomic traits that differentiate wild from cultivated barley.  相似文献   

16.
We examined the genetic variation of leaf morphology and development in the 2-yr-old replicated plantation of an interspecific hybrid pedigree of Populus trichocarpa T. & G. and P. deltoides Marsh. via both molecular and quantitative genetic methods. Leaf traits chosen were those that show pronounced differences between the original parents, including leaf size, shape, orientation, color, structure, petiole size, and petiole cross section. Leaves were sampled from the current terminal, proleptic, and sylleptic branches. In the F2 generation, leaf traits were all significantly different among genotypes, but with significant effects due to genotype X crown-position interaction. Variation in leaf pigmentation, petiole length. And petiole length proportion appeared to be under the control of few quantitative trait loci (QTLs). More QTLs were associated with single leaf area, leaf shape, lamina angle, abaxial color, and petiole flatness, and in these traits the number of QTLs varied among crown positions. In general, the estimates of QTL numbers from Wright's biometric method were close to those derived from molecular markers. For those traits with few underlying QTLs, a single marker interval could explain from 30 to 60% of the observed phenotypic variance. For multigenic traits, certain markers contributed more substantially to the observed variation than others. Genetic cluster analysis showed developmentally related traits to be more strongly associated with each other than with unrelated traits. This finding was also supported by the QTL mapping. For example, the same chromosomal segment of linkage group L seemed to account for 20% of the phenotypic variation of all dimension-related traits, leaf size, petiole length. and midrib angle. In both traits. the P. deltoides alleles had positive effects and were dominant to the P. trichocarpa alleles. Similar relationships were also found for lamina angle. abaxial greenness, and petiole.  相似文献   

17.
中国传统大菊品种叶片形态变异丰富, 然而至今仍未对其进行科学的定义和分类, 无法有效利用这些形态性状进行品种鉴定和叶形遗传解析。利用数量化分析方法对植物形态进行定义和分类, 是植物性状遗传解析的前提。对436个中国传统大菊品种的24个叶形性状进行重新定义及观测, 通过相关性分析确定了8个相对独立的性状, 用变异系数及主成分分析等数量化分析方法筛选出叶长/叶宽、叶片最宽处所在位置/叶长、右下裂片长/右下叶脉长、右下裂片长/右下裂片宽及叶柄长/全叶长5个相对独立且关键的叶部性状。利用这5个性状, 通过Q聚类分析, 最终将菊花(Chrysanthemum × morifolium)叶片分为16种叶型。研究结果为菊花品种鉴定提供了有效的叶部评价标准, 并建立了中国传统菊花品种叶片数量化定义和分类体系, 也为观赏植物复杂性状的解析提供了新方法。  相似文献   

18.
Quantitative trait loci controlling plant architectural traits in cotton   总被引:5,自引:0,他引:5  
Cotton plant architecture is an important characteristic influencing the suitability of specific cotton varieties in cultivation, fiber yield and quality. However, complex multigenic relationships and substantial genotype–environment interaction underlie plant architecture, and will hinder the efficient improvement of these traits in conventional cotton breeding programs. An enhanced understanding of the molecular-genetic regulation of plant morphological developmental can aid in the modification of agronomically relevant traits. In this study, an interspecific Gossypium hirsutum and Gossypium barbadense BC1 population was used to identify QTL associated with plant architectural traits. Twenty-six single QTL were identified for seven plant architecture traits. The phenotypic variation explained by an individual QTL ranged from 9.56% to 44.57%. In addition, 11 epistatic QTL for fruit branch angle (FBA), plant height (PH), main-stem leaf size (MLS), and fruiting branch internode length (FBI) explained 2.28–15.34% of the phenotypic variation in these traits. The majority of the interactions (60%) occurred between markers linked to QTL influencing the same traits. The QTL detected in this study are expected to be valuable in future breeding programs to develop cultivars exhibiting desirable cotton architecture.  相似文献   

19.
Four-way cross (4WC) involving four different inbred lines frequently appears in the cotton breeding programs. However, linkage analysis and quantitative trait loci (QTL) mapping with molecular markers in cotton has largely been applied to populations derived from a cross between two inbred lines, and few results of QTL dissection were conducted in a 4WC population. In this study, an attempt was made to construct a linkage map and identify QTL for yield and fiber quality traits in 4WC derived from four different inbred lines in Gossypium hirsutum L. A linkage map was constructed with 285 SSR loci and one morphological locus, covering 2113.3 cM, approximately 42% of the total recombination length of the cotton genome. A total of 31 QTL with 5.1–25.8% of the total phenotypic variance explained were detected. Twenty-four common QTL across environments showed high stability, and six QTL were environment-specific. Several genomic segments affecting multiple traits were identified. The advantage of QTL mapping using a 4WC were discussed. This study presents the first example of QTL mapping using a 4WC population in upland cotton. The results presented here will enhance the understanding of the genetic basis of yield and fiber quality traits and enable further marker-assisted selection in cultivar populations in upland cotton.  相似文献   

20.
为揭示小叶锦鸡儿(Caragana microphylla)天然居群叶形态性状的变异规律及其生态适应性特征,该研究以10个小叶锦鸡儿天然居群为对象,通过多重比较、巢式方差分析、相关性分析、聚类分析和主成分分析等方法,对7个叶形态性状进行分析。结果表明:(1)小叶锦鸡儿叶形态性状在居群内和居群间均存在极显著差异(P < 0.01),平均变异系数为10.13%,不同性状的变异幅度为6.23%~12.78%;平均叶形态性状的表型分化系数为43.62%,居群内变异(30.09%)大于居群间变异(24.91%),说明居群内是其叶形态性状变异的主要来源。(2)相关性分析表明,环境因子对小叶锦鸡儿的叶形态性状变异有很大的影响,在地理空间上主要呈现出沿海拔梯度的变异模式;主成分分析的结果显示,小叶宽、叶柄宽和叶柄长对小叶锦鸡儿叶形态变异起主导作用;利用欧式距离对小叶锦鸡儿居群进行UPGMA聚类分析结果显示,基于叶形态性状和环境因子可分别将小叶锦鸡儿10个居群分为3类和2类,Mantel检验结果表明,小叶锦鸡儿的叶形态性状变异不存在地理连续性。研究结果为小叶锦鸡儿的适应性进化和开发利用提供了理论依据。  相似文献   

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