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Quantitative Trait Analysis of Heterosis-relevant Loci using Molecular Markers in Oilseed Rape (Brassica napus L.)

机译:利用油菜油菜分子标记对杂种优势相关基因座进行定量性状分析

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摘要

Molecular markers are increasingly used to detect quantitative trait loci (QTL) that are responsible to the trait of interest. The central theme in hybrid breeding is heterosis and it is important to put the first emphasize on the QTL relevant for heterosis. The genetic action of the QTL found furthermore is necessary to be studied, as this will become the basis for decision on which breeding method to be used. A doubled-haploid (DH) population from a cross between "Express 617" and "V8" was developed using microspore culture. A counterpart back-cross population (BC) was developed by crossing each line in DH population with the ‘Express 617’. The populations would make possible estimation of the heterosis effect and the subsequent QTL analysis. Phenotypic performance was studied in a greenhouse trial during Summer 2007 and in field for two years (2005/06 and 2006/07) in four locations, two in Lower Saxony and two in Hesse. Microsatellites and AFLP® were used to genotype the DH and develop genetic maps. The genetic map comprised all the chromosomes of Brassica napus (Chromosome N01-N19) and covered 1792 cM. The QTL analysis was done using QTL-Network 2.0 based on a backbone map with 269 markers. Three sets of data, DH, BC, and mid-parent heterosis (MPH) were analysed for each trait.Greenhouse trial showed that BC tended to perform better than DH in almost all traits observed. Heterosis distributions were varied among traits, which range spanning from -31% (leaf area) to 84% (shoot dry mass). The correlation between BC and DH among the traits observed were medium, but in hypocotyl length it was high (0.81) and in specific leaf weight (SLW) was very low.Seed yield for 2006/07 was clearly lower than the earlier planting year due to mild winter and dry period during flowering time which caused the yield to go down 30% in average. Mid-parent heterosis in 2006/07 was higher than the previous year. Strong correlations between BC and MPH indicated that MPH was controlled more by variation in BC. Thousand seed mass appeared to be unconnected to the other traits, as well as hypocotyl length and leaf area. Biomass (fresh shoot mass) in general might show a weak correlation with yield.From greenhouse trial there was no heterosis-relevant main-effect QTL detected. Eleven main-effect QTL nevertheless was found from DH and BC populations; however, they were not co-located, making it impossible to indirectly estimate dominance effect. There were eleven heterosis-relevant main-effect QTL detected in field trials: four from 2005/06 planting year and seven from 2006/07. As already indicated from phenotypic relationship, QTL for thousand seed mass were mostly different from the other traits. Clusters of main-effect QTL were called ‘active regions’ and each was seen as a single region, ignoring the traits. Twenty six active regions were detected on 15 of the 19 chromosomes. Applying “active region” as basis for interaction unit raises the percentage of interaction involving at least one active region from 5% to 65%. This suggested that, at least in case of epistasis, it is better to see a cluster of QTL as single unit. Certain interactions involving the same trait could be found clustering in the same location. Such feature may indicate existence of transcription factors. QTL effects related to heterosis from early traits (greenhouse trials) were evidently dominated by epistatic origin, since no dominant QTL was detected directly from MP data set. Nevertheless, four main-effect QTL were found from BC data set, estimating difference between genetic additive and dominance effect; two of them, responsible for dry shoot weight and fresh shoot weight, located at the same region in N14. Partial dominance played in all the QTL for heterosis which additive and dominance effects could be estimated. Five of the seven such QTL showed partial dominance toward ‘Express’, the other two toward "V8". Most of the estimates were from QTL for TSM. Based on these results, it is indicative that the additive-dominance model is not enough to explain the phenotypic expression.The results showed that epistasis was evidently the source of heterosis in the early developmental stage. Partial dominance was found to play role in the traits observed at end stages of life, although epistasis was still abundant. Phenotypic correlation between shoot dry weight at early stage and yield could not be strongly supported by the QTL analysis. Further genetic analysis involving expression of gene, such as e-QTL can be used to explain the mechanism behind the correlation, which further can be applied in developing more effective marker-assisted methods in hybrid cultivar breeding.
机译:分子标记越来越多地用于检测对目标性状负责的数量性状基因座(QTL)。杂种育种的中心主题是杂种优势,重要的是首先强调与杂种优势相关的QTL。此外,有必要研究QTL的遗传作用,因为这将成为决定采用哪种育种方法的基础。使用小孢子培养物开发了来自“ Express 617”和“ V8”之间杂交的双单倍体(DH)群体。通过将DH群体中的每条线与“ Express 617”相交来开发对应的回交群体(BC)。总体将使杂种优势效应的估计和随后的QTL分析成为可能。表型表现在2007年夏季的温室试验中进行了研究,并在四个地点(下萨克森州两个和黑森州两个地点)进行了为期两年(2005/06和2006/07)的田间试验。使用微卫星和AFLP®对DH进行基因分型并绘制遗传图谱。遗传图谱包含甘蓝型油菜(染色体N01-N19)的所有染色体,覆盖1792 cM。使用基于269个标记的主链图的QTL-Network 2.0完成了QTL分析。分析了每种性状的三组数据DH,BC和中亲杂种优势(MPH)。温室试验显示,在几乎所有观察到的性状上,BC的表现都优于DH。各性状的杂种优势分布各不相同,范围从-31%(叶面积)到84%(茎干质量)。观察到的性状中BC和DH的相关性中等,但在下胚轴长度上的相关性很高(0.81),在比叶重(SLW)方面则很低.2006 / 07年度的种子产量明显低于早年的播种期到开花期间的冬季和干燥干燥季节,平均单产下降了30%。 2006/07年的父母中间杂种优势高于上一年。 BC与MPH之间的强相关性表明MPH受BC变化的影响更大。成千上万的种子质量似乎与其他性状,下胚轴长度和叶面积无关。一般而言,生物量(新芽质量)可能与产量之间存在弱相关性。从温室试验开始,未检测到与杂种优势相关的主效应QTL。然而,从DH和BC人群中发现了11个主要效应QTL。但是,由于它们不在同一地点,因此无法间接估计主导效应。在田间试验中检测到11个与杂种优势相关的主效QTL:2005/06种植年的4个和2006/07年的7个。从表型关系已经表明,千粒种子的QTL与其他性状大部分不同。主要影响QTL的群集称为“活动区域”,每个都被视为一个区域,而忽略了这些特征。在19条染色体中的15条上检测到26个活性区域。将“活动区域”用作交互单元的基础,将涉及至少一个活动区域的交互百分比从5%提高到65%。这表明,至少在上位的情况下,最好将QTL群集视为单个单元。某些具有相同特征的相互作用可以在同一位置聚集。这种特征可能表明存在转录因子。与早期性状杂种优势相关的QTL效应(温室试验)显然由上位性来源决定,因为没有直接从MP数据集中检测到显性QTL。然而,从BC数据集中发现了四个主要效应QTL,估计了遗传加性和优势效应之间的差异。其中两个分别负责N14的同一区域的干芽重和新鲜芽重。在所有QTL中,杂种优势在部分优势中发挥作用,可以估计其加性效应和优势效应。七个这样的QTL中有五个对“ Express”表现出部分优势,另外两个对“ V8”表现出优势。大多数估计来自QTL的TSM。根据这些结果,表明加性优势模型不足以解释表型的表达。结果表明,上位明显是发育早期杂种优势的来源。尽管上位性仍然很丰富,但发现部分优势在生命后期阶段观察到的特征中起作用。 QTL分析不能强有力地支持早期苗芽干重与产量之间的表型相关性。涉及基因表达的进一步遗传分析(例如e-QTL)可用于解释相关性背后的机制,这可进一步用于开发杂交品种育种中更有效的标记辅助方法。

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    Basunanda Panjisakti;

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  • 年度 2010
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