大白菜营养茎长和宽的QTL定位和分析

以大白菜纯系'501'×'601'的F2:3家系为群体,对营养茎长和宽2个性状进行QTL定位和分析.结果表明,2个性状表现为连续分布,符合数量性状的遗传特征,且性状之间无显著差异.在5个连锁群共检测到7个QTL,且均以加性效应为主.控制营养茎长度的3个QTL分别位于A02、A04和A09连锁群,各QTL可解释的表型变异...     

利用“永久F2”群体剖析玉米产量及其相关性状的遗传机制

利用RIL群体构建了一套包含441个杂交组合的玉米“永久F₂”群体,通过253个SSR标记的等位基因频率分析,发现“永久F₂”群体的遗传组成与基因频率与F₂群体相似,理论上可以代替F₂群体进行相关遗传研究。通过两年一点的田间试验,利用复合区间作图法对玉米产量及其3个主要构成因子进行了遗传分析。结果表明,玉米产量与穗长、穗行数及百粒重呈显著或极显著正相关,而穗长与穗行数和百粒重显著负相关。共定位3个产量QTL、8个穗长QTL,11个穗行数QTL和5个百粒重QTL。     

回交高代选择导入系的纹枯病抗性与抗旱性的遗传重叠研究

利用来自抗旱性较好的供体亲本（BG300和BG304）、具有两种遗传背景（IR64和特青）的水稻高代回交（BC2）抗旱选择导入系，通过人工接种的方法鉴定纹枯病抗性，考察纹枯病抗性与抗旱性之间可能存在的遗传重叠。通过与受体亲本的纹枯病抗性表现比较发现，具有特青背景的抗旱选择导入系倾向于纹枯病抗性的降低，而IR64背景的抗旱选择导入系则倾向于纹枯病抗性的增强。基于基因型与表型的方差分析共鉴定到6个与纹枯病抗性相关的位点，其中QSbr6在不同供体和背景的两个群体中分别检测到，而QSbr10则在同一供体的两个遗传背景下均检测到；有3个位点（QSbr6、QSbr8和QSbr10）与同一群体中检测到的抗旱性位点位置相近，很可能是两种抗性重叠的遗传基础。尽管方差分析的方法在选择导入系的非选择目标性状相关位点的鉴定中存在相当程度的偏低估计，本研究所检测到的纹枯病抗性位点，特别是那些与抗旱性重叠位点的分子标记以及相关的抗性株系仍将为进一步的水稻纹枯病抗性和抗旱性的多抗性育种和深入的遗传重叠研究提供有用的信息和材料。     

Construction of Genetic Linkage Map of Bread Wheat （Triticum aestivum L.） Using an Intervarietal Cross and QTL Map for Spike Related Traits

Most often a genetic linkage map is prepared using populations obtained from two highly diverse genotypes. However, the markers from such a map may not be useful in a breeding program as these markers may not be polymorphic among the varieties used in breeding. For the past nine years, intraspecific maps have been gaining importance and such maps based on Swiss （PaiUard et al., 2003）, Japanese （Suenaga et al., 2005）, Australian （Chaimcrs et al., 2001） wheat varieties arc available. A map based on Indian wheat varieties however has not been reported. We constructed a genetic linkage map based on a cross between two Indian bread wheat （Triticum aestivum L.） varieties, Sonalika and Kalyansona. One hundred and fifty F2 individuals were analyzed for arbitrarilyprimed polymerase Chain reaction （AP-PCR）, random amplified polymorphic DNA （RAPD）, inter simple sequence repeats （ISSR）, Sequence Tagged Microsatelhte Sites （STMS）, Amplified Fragment Length Polymorphism （AFLP） markers, seed storage proteins and known genes. A linkage map was constructed consisting of 236 markers and spanning a distance of 3 639 cM with 1 211.2 cM for A genome, 1 669.2 cM for B genome, 192.4 cM for D genome and 566.2 cM for unassigned groups,     

基于水稻QTL定位分析预测单穗粒重最优基因型

选择符合需要的基因型个体是育种实践中的重要环节,而理想基因型的预测则又是其前提。本文以水稻“珍汕97B×明恢63”的F₁杂种（汕优63）所衍生的永久F₂群体为材料,对单穗粒重进行了QTL定位分析,并对不同环境下单穗粒重的最优株系（SL）和最优杂种（SH）的基因型及其遗传效应值进行了预测。结果表明,QTL定位分析共检测到9个与单穗粒重相关的QTL,其中7个具有环境互作效应;上位性是控制水稻单穗粒重遗传变异的一个重要的遗传组分。最优基因型预测显示,不同环境下最优株系（SL）与最优杂种（SH）的基因型及遗传效应值不同。在两个环境中,SH的遗传效应值都是最高的。因此,SH将能够充分挖掘单穗粒重的最大潜力。9个QTL全为杂合或全为纯合均不是最佳选择,预测得到的SH有近一半的QTL是纯合基因型。同时讨论了在育种中获得SL和SH的途径。     

The genetic relationship between popping expansion volume and two yield components in popcorn using unconditional and conditional QTL analysis

Popping expansion volume (PEV) is the most important quality trait in popcorn, while its germplasm is inferior to normal dent/flint corn in yield. In this study, 259 F_2:3 families, developed from the cross between a dent corn inbred Dan232 and a popcorn inbred N04, were evaluated for their PEV, grain weight per plant (GWP) and 100-grain weight (100 GW) in two environments. The genetic relationship between PEV and GWP, and 100 GW on individual gene loci were evaluated using unconditional and conditional QTL mapping methods. In total, five, one and three unconditional QTL were identified for PEV, GWP, and 100 GW, respectively. The positive alleles of all QTL for PEV were from N04, while positive alleles of all QTL for GWP and 100 GW were from Dan232. In conditional mapping, one and two QTL failed to be detected, and all four additional QTL were detected. Nevertheless, three QTL were identified, which controlled PEV independently from GWP/100 GW. They seemed to be potential candidates in popcorn breeding to increase PEV without decreasing GWP/100 GW. The results suggested that for significantly correlated traits, the conditional QTL mapping method could be used to dissect the genetic interrelationship between traits at the level of individual QTL, as well as reveal additional QTL that were undetectable by unconditional mapping.     

稻米品质性状与产量性状及籼粳分化度的相互关系研究

通过QTL的连锁关系和性状相关性研究表明,供试的籼粳重组自交系群体的籼粳分化程度与籼、粳稻的直链淀粉含量高低无直接关系,籼粳分化度与胶稠度、碱消值、蛋白质和粗脂肪含量之间呈现显著相关和密切连锁关系;直链淀粉含量的高低不是影响稻米食味品质的关键因素,胶稠度和碱消值是影响稻米食味品质的最重要因素;单株产量越高,     

棉花抗黄萎病基因的QTL定位

以高感黄萎病的陆地棉品种"邯郸208"与高抗黄萎病海岛棉品种"Pima90"的136个F2单株为作图群体,构建了一个包括17个连锁群、标记间平均间距18.61cM、全长1842.8cM的陆海种间分子标记遗传连锁图,该图约覆盖棉花基因组的36.8%。单因子方差分析和复合区间作图检测到与黄萎病抗性相关的3个QTL,分别位于第四连锁群和第七连锁群上,分别解释表型变异方差的15.39%、54.11%和57.18%。初步认为海岛棉"Pima90"对陆地棉"邯郸208"的黄萎病抗性由两个主效QTL和一个微效QTL共同控制。     

QTL for IHNV resistance and growth identified in a rainbow (Oncorhynchus mykiss) × Yellowstone cutthroat (Oncorhynchus clarki bouvieri) trout cross

Infectious hematopoietic necrosis virus (IHNV) is a major constraint to rainbow trout culture. Yellowstone cutthroat trout (Oncorhynchus clarki bouvieri) have greater resistance to this virus than do rainbow trout (O. mykiss), but the genetic mechanism of this resistance is not understood. We conducted a genome scan using a backcross of cutthroat trout into a rainbow trout background to estimate the number and locations of quantitative trait loci (QTL) associated with IHNV resistance and growth in trout. IHNV resistance was considered in terms of both survival (binary trait) and days to death (quantitative trait). The genetic map was scanned using interval mapping via two different approaches: one model considered survival alone and a second two-part model combined both survival and days to death. Three QTL were significantly (P ≤ 0.05) associated with virus resistance genome-wide, explaining 32.5% of the phenotypic variation. Cutthroat alleles at two of these QTL resulted in increased resistance to the pathogen, as expected. No growth QTL were detected in this cross. We suggest that these traits are genetically independent.     

利用90K基因芯片进行小麦株高QTL分析

为给小麦株高标记辅助选择提供可供选择的分子标记,并进一步对株高QTL进行精细定位及相关基因克隆,以小麦骨干亲本周8425B和小偃81衍生的包含102个家系的RIL群体(F_8)为材料,利用90K芯片标记构建高密度遗传图谱,在3个环境下对株高进行QTL检测。结果表明,所构建的图谱含有9 290个SNP标记,覆盖了小麦21条染色体的63个连锁群,图谱总长3 894.64cM,平均标记密度为0.42cM。共检测到9个控制株高的QTL,分布于1B、4A、4D、6B、7A、7B和7D染色体上,变异解释率为2.23%~16.25%。QPh.nafu.4D、QPh.nafu.4A、QPh.nafu.1B-2与前人定位到的位置相同或相近。QPh.nafu.7A具有较大的LOD值(8.17)和变异解释率(14.69%),为主效QTL。QPh.nafu.6B、QPh.nafu.7B-1、QPh.nafu.7B-2均能在多个环境下使用多种QTL检测方法定位到,可能为新的较稳定的控制株高的QTL。