Enrichment of a common wheat genetic map and QTL mapping for fatty acid content in grain

DArT and SSR markers were used to saturate and improve a previous genetic map of RILs derived from the cross Chuan35050 × Shannong483. The new map comprised 719 loci, 561 of which were located on specific chromosomes, giving a total map length of 4008.4 cM; the rest 158 loci were mapped to the most likely intervals. The average chromosome length was 190.9 cM and the marker density was 7.15 cM per marker interval. Among the 719 loci, the majority of marker loci were DArTs (361); the rest included 170 SSRs, 100 EST-SSRs, and 88 other molecular and biochemical loci. QTL mapping for fatty acid content in wheat grain was conducted in this study. Forty QTLs were detected in different environments, with single QTL explaining 3.6-58.1% of the phenotypic variations. These QTLs were distributed on 16 chromosomes. Twenty-two QTLs showed positive additive effects, with Chuan35050 increasing the QTL effects, whereas 18 QTLs were negative with increasing effects from Shannong483. Six sets of co-located QTLs for different traits occurred on chromosomes 1B, 1D, 2D, 5D, and 6B.     

小麦旗叶长、宽及面积的QTL分析

以小麦品种‘小偃81’和‘西农1376’构建的含236个家系的自交重组系(RIL)群体(F2:7、F2:8代)为研究材料,采用完全随机区组设计,连续2年在陕西杨陵、河南驻马店和山东济南于灌浆期(花后20d)随机取每个株系10株测量旗叶长、宽,并利用172个SSR标记构建了遗传连锁图谱,通过基于完备区间作图法的QTL IciMapping V3.2软件,对控制小麦旗叶长、宽和面积的数量性状位点(QTL)进行了加性效应分析。结果发现:(1)9个旗叶长QTLs位于1A、4A、3B、5D和7D染色体上,单个QTL可解释5.10%~16.44%的表型变异;10个旗叶宽QTLs位于1A、3A、5A、7A、3B和5D染色体上,单个QTL可解释4.63%~14.24%的表型变异;12个旗叶面积QTLs位于1A、4A、3B、2D和5D染色体上,单个QTL可解释4.25%~22.67%的表型变异。(2)控制小麦旗叶长、宽和面积的QTLs存在差异,同一QTL在不同性状中的遗传贡献率也不同。(3)同一性状在同一年份,不同地点和在不同年份,相同地点下检测到的QTLs有的相同,但有的差异明显。(4)有些控制不同性状的QTLs在染色体的同一标记区间,表现一因多效。研究表明:位于1A和5D染色体上的2个加性QTLs都同时控制旗叶长、宽和面积,且前者为主效基因,后者遗传贡献率也较大,可用于标记辅助育种和分子聚合育种。     

应用重组自交系群体定位大豆抗虫QTL

以大豆组合科丰1号×南农1138-2衍生的重组自交系(RIL)群体为材料构建遗传连锁图谱, 利用软件 Cartographer V.2.5 采用复合区间作图法检测定位大豆抗虫QTL。以斜纹夜蛾幼虫重为抗性指标, 检测到 1 个与抗虫性有关的 QTL, 位于G20-O连锁群上, 其端距离为31.91 cM, 加性效应估计值为0.0408, 对性状变异的解释率为 11.74％; 以蛹重为抗性指标, 检测到 2 个与抗虫性有关的 QTL, 分别位于G8-D1b+W和G17-L连锁群上, 其端距离分别为 14.71 cM和0.01 cM, 加性效应估计值分别为-0.0139和0.0103, 对性状变异的解释率分别为 11.30％和6.36％。     

利用DH或RIL群体检测QTL体系并估计其遗传效应

利用ＤＨ和ＲＩＫＬ群体并结合重复内分组随机区组设计对和物产量等遗传率较低的数量性状进行分离分析可提高遗传分析的精度。根据混合分布理论菜了利用ＤＨ或ＲＩＬ群体重复实验数据鉴定数量性状混合遗传模型的分离分析法,特别是２对链锁主基因＋多基因模型。该方法可鉴定数量性状的遗传模型和主基因的作用方式,估计主基因、多基因的遗传疚和遗传方差,在两主基因存在连锁可可估计其重组率。下面通过应用举例说明该方法。     

02428×合系35的RIL群体糙米总黄酮与总生物碱含量的遗传分析

测定了水稻02428与合系35杂交培育的222个RIL(重组自交系)及其亲本的发芽糙米和糙米总黄酮和生物碱含量,对其进行遗传分析及探讨了发芽糙米和糙米中总黄酮、生物碱的含量变化.结果表明,RIL群体发芽糙米和糙米中总黄酮、生物碱呈现广泛的遗传变异,糙米总黄酮含量略高于发芽糙米,但两者均呈正态分布,类似于性状的分布特征.RIL群体发芽糙米生物碱含量是糙米的1.5倍,且两者呈偏态分布;为功能水稻的遗传及品种选育提供了一定的理论依据.     

两种肥力水平下水稻苗高QTL的比较分析

利用一个来源于粳／籼交组合的水稻重组自交系群体进行盆栽试验,设正常肥力(对照CK)和低肥力(不施肥)2个处理,分别在播种后25d(时期Ⅰ)和50d(时期Ⅱ)取样测定秧苗的苗高。结合一张含有198个标记的高密度分子遗传图谱,对性状进行复合区间作图。共检测到8个水稻苗高QTL,分别位于第1、3、5、6、8和10号染色体上,各QTL对性状的贡献率为4％～12％。通过对2种肥力水平下水稻苗高QTL的比较分析,发现大多数QTL只在1种肥力水平下表达,QTL与不同肥力水平之间存在着显著的互作。唯一一个在2种肥力水平下均能稳定起作用、而且加性效应的方向一致的QTL是qSH-3-2,该QTL位于3号染色体标记区间RM156-RM16,其加性效应值为正,增效基因来自于亲本Lemont。此外,有3个QTL(qSH-1、qSH-3-3和qSH-5)在2个抽样时期均起作用,且加性效应的方向一致。对利用分子标记辅助选择改良水稻品种的耐低肥特性的育种策略进行了讨论。     

水稻RIL群体苗期耐冷性QTL分析

水稻苗期冷害是影响早春季节和高纬度地区水稻成苗和秧苗生长的重要限制因素之一。为了鉴定控制水稻苗期耐冷性的QTL,研究采用了1个水稻“粳籼交”重组自交系(RIL)群体,结合1张高密度分子遗传图谱,对3叶期幼苗经过10℃冷处理3d、恢复培养2d和4d时的秧苗存活率进行复合区间作图。亲本Lemont和特青的苗期耐冷性具有极显著差异,Lemont的苗期耐冷性很强,而特青对低温敏感。在重组自交系群体中,苗期耐冷性表现为连续变异,在两个方向上均出现大量超亲分离。共检测到5个水稻苗期耐冷性QTL,分别位于水稻1、3、8和11号染色体上,单个QTL对性状的贡献率为7％～21％。其中,4个QTL的增效基因来源于亲本Lemont,另1个QTL的增效基因来源于亲本特青。2个主效QTL(qSCT-3和qSCT-8)分别位于3号染色体标记区间RM282-RM156和8号染色体标记区间RM230—RM264,对性状的贡献率达到或接近20％,被检测到的LOD值显著较高,其增效基因均来自于耐冷性亲本Lemont。研究结果进一步揭示了水稻苗期耐冷性QTL具有丰富的位点多样性,表明耐冷性普遍较强的粳稻是发掘苗期耐冷性优异基因的主要稻种资源。     

QTL mapping of resistance to Fusarium ear rot using a RIL population in maize

Fusarium ear rot is a prevalent disease in maize, reducing grain yields and quality. Resistance breeding is an efficient way to minimize losses caused by the disease. In this study, 187 lines from a RIL population along with the resistant (87-1) and susceptible (Zong 3) parents were planted in Zhengzhou and Beijing with three replications in years 2004 and 2006. Each line was artificially inoculated using the nail-punch method. Significant genotypic variation in response to Fusarium ear rot was detected in both years. Based on a genetic map containing 246 polymorphic SSR markers with average genetic distances of 9.1 cM, the ear-rot resistance QTL were firstly analyzed by composite interval mapping (CIM). Three QTL were detected in both Zhengzhou and Beijing in 2004; and three and four QTL, respectively, were identified in 2006. The resistant parent contributed all resistance QTL. By using composite interval mapping and a mixed model (MCIM), significant epistatic effects on Fusarium ear rot as well as interactions between mapped loci and environments were observed across environments. Two QTL on chromosome 3 (3.04 bin) were consistently identified across all environments by the two methods. The major resistant QTL with the largest effect was flanked by markers umc1025 and umc1742 on chromosome 3 (3.04 bin), explaining 13–22% of the phenotypic variation. The SSR markers closely flanking the major resistance QTL will facilitate marker-assisted selection (MAS) of resistance to Fusarium ear rot in maize breeding programs.