小麦品质性状的QTL定位研究进展

本文系统地总结了国内外小麦品质性状QTL定位研究的主要性状、所用群体、标记类型、QTL定位所在的染色体位置及贡献率的大小,提出了小麦品质性状QTL定位中存在的问题,展望了小麦品质性状QTL定位的发展方向。     

叶绿素含量相关QTL定位研究进展

叶绿素含量属于数量性状,利用QTL定位是对其性状进行分析的重要方法之一,有利于加快作物高光效育种进程。本文综述了QTL研究的主要策略和近年来叶绿素含量初步定位和精细定位工作研究进展以及存在的问题,并对未来的研究方向提出建议,以期为今后深入开展叶绿素QTL定位研究及相关基因克隆研究和利用提供参考。     

蚊虫抗拟除虫菊酯数量性状位点的研究进展

蚊虫是重要的医学昆虫,对人类危害极大。近些年来,由于拟除虫菊酯杀虫剂的广泛使用,导致蚊虫体内产生了抗药性。为了解析抗药性的分子基础和遗传特性,当前采用了一种新的方法即数量性状位点(Quantitative trait loci,QTL)定位。综述了近些年来蚊虫抗拟除虫菊酯QTL的研究的最新进展,包括蚊虫QTL定位研究的理论基础、QTL定位鉴定抗性位点、抗性基因差异表达分析及功能调控。蚊虫抗拟除虫菊酯QTL的研究发展迅速,相关研究成果对蚊虫的防治和病媒疾病的控制具有重要意义;在现有方法的基础上,可以利用高通量测序和关联分析来深入解析蚊虫QTL,为进一步探究蚊虫抗药性提供新的契机。
     

玉米穗部性状的QTL定位

以玉米自交系L26和095组配的Fz世代为定位群体,采用SSR分子标记技术构建了包括98个位点的连锁图谱,结合F2穗部性状的鉴定结果,利用复合区间作图法对秃尖长等8个穗部性状进行基因定位,共检出21个QTL.其中穗长检测到3个QTL;穗粗、穗行数分别检测到2个QTL;行粒数检测到3个QTL;轴粗检测到2个QTL;200粒质量检测到3个QTL;穗粒质量检测到6个QTL;秃尖长没有检测到QTL.检出的21个QTL中,有10个QTL的解释变异率超过了20%,表现为主效QTL效应.研究还发现,穗部性状QTL在玉米10条染色体上分布不均匀,且成簇分布.该试验中检测到的21个QTL中,有10个影响不同性状的QTL位于3个染色体区域.各个QTL位点上起增、减效作用的等位基因在亲本间分布不均匀.     

蚊虫抗拟除虫菊酯数量性状位点的研究进展

蚊虫是重要的医学昆虫,对人类危害极大。近些年来,由于拟除虫菊酯杀虫剂的广泛使用,导致蚊虫体内产生了抗药性。为了解析抗药性的分子基础和遗传特性,当前采用了一种新的方法即数量性状位点(Quantitative trait loci,QTL)定位。综述了近些年来蚊虫抗拟除虫菊酯QTL的研究的最新进展,包括蚊虫QTL定位研究的理论基础、QTL定位鉴定抗性位点、抗性基因差异表达分析及功能调控。蚊虫抗拟除虫菊酯QTL的研究发展迅速,相关研究成果对蚊虫的防治和病媒疾病的控制具有重要意义;在现有方法的基础上,可以利用高通量测序和关联分析来深入解析蚊虫QTL,为进一步探究蚊虫抗药性提供新的契机。     

林木多元性状数据QTL区间作图统计分析及其在杨树上的应用

【目的】传统的数量性状基因座(QTL)定位统计分析方法是针对自交系产生实验群体而建立的,不能直接应用到林木这种杂合度较高生长周期较长的异交物种中。针对林木多元性状数据,将传统的QTL区间作图方法应用到林木杂交F₁代作图群体中。【方法】考虑分子标记各种可能的分离比以及连锁相信息,建立林木多元性状数据QTL定位统计分析模型,并用R语言编写了相应的计算软件包mvqtlmap。在美洲黑杨和小叶杨杂交F₁代群体中,对2014年5月29日至9月24日期间调查的6个时间点树高数据进行了QTL定位分析。【结果】有4个QTL定位在母本美洲黑杨的遗传连锁图谱上,有6个QTL分布在父本小叶杨的遗传连锁图谱上,这些QTL分别位于第1、5、7、9、11和19号染色体上,平均解释0.8%～6.7%的表型方差。【结论】研究结果可为在林木上利用多个性状或多个时间点性状数据进行QTL定位提供统计分析方法及计算工具。所建立的程序包可在网站http://www.bioseqdata.com/mvqtlmap/mvqtlmap.htm上自由下载。     

玉米株高和穗位高遗传基础的QTL剖析

玉米是世界范围内具有经济重要性的作物之一.株高和穗位高是玉米育种过程中需考虑的2个重要农艺性状,对玉米产量、抗倒伏性及株型等都有较大影响.为进一步明确玉米株高和穗位高的遗传机制,本研究以B73×Zheng58的含有165个株系的F3∶4重组自交系群体为作图群体,利用覆盖玉米10条染色体189个SSR标记对株高和穗位高进行QTL定位分析.总共定位到5个株高QTL和6个穗位高QTL;这11个QTL分布在除2号和6号之外的其他8条染色体上.单个QTL表型变异贡献率的变幅为4.3%~14.2%.其中10个QTL与以前报道过的QTL的位置相近或重叠,而株高QTL(qPH04-01)是新发现的群体专一性的QTL,最靠近标记umc0371,表型变异贡献率为8.8%,是值得进一步研究和利用的位点.     

水稻抽穗期基因研究进展

水稻抽穗期是重要的农艺性状,近年来,随着分子生物学及水稻基因组学的发晨,水稻抽穗期基因发掘、定位和克隆取得较大的进展,文章对水稻抽穗期QTL定位、上位性遗传,QTL与环境互作、基因克隆研究等方面的进展进行了简单综述.     

水稻DH群体剑叶宽度的QTL及其上位性和环境互作效应研究

利用基于混合模型的QTL定位方法,可以分析水稻DH群体在4个年份下剑叶宽度的QTL及其上位性效应和环境互作效应.结果发现,QTL除了具有自身的效应外,还可以参与上位性效应的形成,一个QTL可与多个QTL发生互作,可能起到诱发和修饰其他位点的作用.QTL与环境的互作效应以及上位性与环境的互作效应更多地被检测到,表明控制剑叶宽度的遗传因素易受环境影响.     

复合性状的QTL定位模型构建

【目的】传统复合性状的QTL(quantitative trait locus)定位方法仅仅利用两个或几个构成性状的计算值作为表型值,未考虑复合性状的生物学内涵,从而影响定位的准确性。因此,发展适合于复合性状的QTL定位模型,对于深入解析控制复合性状的遗传结构,进而提高基因定位准确性显得越来越重要。【方法】针对全基因组重测序数据,构建了一个复合性状QTL定位模型(composite traits mapping model, CTM),利用CTM对复合性状进行分解,把分解后的组分以二元或多元正态分布形式整合到QTL作图的框架内。【结果】应用CTM分析杨树材积生长数据,可成功定位到大量与杨树材积生长相关的基因,并与传统方法进行了比较,定位出较多的显著位点,表现出较好的性能。计算机模拟试验表明,所构建的CTM模型在定位复合性状QTL中具有较高的效力,在达到一定的样本数量和遗传力条件下,CTM模型具有较强的效力,样本量和遗传力的增加都能够增加参数估计的精度。【结论】CTM模型有助于复合性状遗传结构的解析,促进林木分子标记辅助育种的开展。     

Composite interval mapping of QTL for dynamic traits

The theoretical foundation for mapping quantitative trait loci (QTL) was laid by Sax[1] who discovered the association between the segregation pattern of pigment markers with seed size of bean. However, statistical methods were not well developed until th…     

Advances on methods for mapping QTL in plant

Advances on methods for mapping quantitative trait loci (QTL) are firstly summarized. Then, some new methods, including mapping multiple QTL, fine mapping of QTL, and mapping QTL for dynamic traits, are mainly described. Finally, some future prospects are proposed, including how to dig novel genes in the germplasm resource, map expression QTL (eQTL) by the use of all markers, phenotypes and micro-array data, identify QTL using genetic mating designs and detect viability loci. The purpose is to direct plant geneticists to choose a suitable method in the inheritance analysis of quantitative trait and in search of novel genes in germplasm resource so that more potential genetic information can be uncovered.     

Analysis of digenic epistatic effects and QE interaction effects QTL controlling grain weight in rice

Immortalized F(2) population of rice (Oryza sativa L.) was developed by randomly mating F(1) among recombinant inbred (RI) lines derived from (Zhenshan 97B x Minghui 63), which allowed replications within and across environments. QTL (quantitative trait loci) mapping analysis on kilo-grain weight of immortalized F(2) population was performed by using newly developed software for QTL mapping, QTLMapper 2.0. Eleven distinctly digenic epistatic loci included a total of 15 QTL were located on eight chromosomes. QTL main effects of additive, dominance, and additive x additive, additive x dominance, and dominance x dominance interactions were estimated. Interaction effects between QTL main effects and environments (QE) were predicted. Less than 40% of single effects, most of which were additive effects, for identified QTL were significant at 5% level. The directional difference for QTL main effects suggested that these QTL were distributed in parents in the repulsion phase. This should make it feasible to improve kilo-grain weight of both parents by selecting appropriate new recombinants. Only few of the QE interaction effects were significant. Application prospect for QTL mapping achievements in genetic breeding was discussed.     

Dissecting anxiety-related QTLs in mice by univariate and multivariate mapping

To detect genes underlying anxiety-related traits in mice,we performed univariate and multivariate QTL mapping analyses of phenotypes obtained from 71 mice of the BXD recombinant inbred (RI) strains (n=528 mice) and their parental strains (C57BL/6J and DBA/2J).Separate and joint mapping analyses were carried out using a linkage map composed of 506 simple sequence repeats (SSRs).The main QTL effects,interactions between pairs of QTLs (epistasis),and their environmental interactions were estimated.The results showed that anxiety-related traits were influenced by multiple QTLs (five main effect QTLs and three epistatic QTLs).Ten potential anxiety-related candidate genes within the QTL intervals on chromosomes 5,13 and 15 were identified.Some of these genes have been reported previously to be associated with the anxiety response.Based on our results,it is suggested that the multivariate QTL mapping approach improves the statistical power for detecting QTL and the precision of parameter estimation.Moreover,multivariate mapping can also detect pleiotropic QTL effects.     

Estimation of statistical power and false discovery rate of QTL mapping methods through computer simulation

Many QTL mapping methods have been developed in the past two decades.Statistically,the best method should have a high detection power but a low false discovery rate (FDR).Power and FDR cannot be derived theoretically for most QTL mapping methods,but they can be properly evaluated using computer simulations.In this paper,we used four genetic models (two for independent loci and two for linked loci) to illustrate power and FDR estimation for interval mapping (IM) and inclusive composite interval mapping (ICIM).For each model,we simulated 1000 populations each of 200 doubled haploids.A support interval (SI) was first defined to indicate to which predefined QTL the significant QTL belonged.Power was calculated by counting the number of simulation runs with significant peaks higher than the logarithm of odds (LOD) threshold in the SI.Quantitative trait loci not identified in any SIs were viewed as false positives.The FDR is the rate at which QTLs are identified as significant when they are actually non-significant.Simulation results allowed us to estimate power and FDR of IM and ICIM for two independent and two linkage genetic models.Our estimates allowed us to readily compare the efficiencies of different statistical methods for QTL mapping,including the ability to separate linkage,under a wide range of genetic models.We used IM and ICIM as examples of how to estimate power and FDR,but the principles shown in this paper can be used for power analysis and comparison of any other QTL mapping methods,especially those based on interval tests.     

Conditional and unconditional mapping of quantitative trait loci underlying plant height and tiller number in rice (Oryza sativa L.)grown at two nitrogen levels

In this study, we used 127 double haploid (DH) lines to analyze agricultural traits of rice. The DH lines, derived from a ZYQ8 (indica)/JX17 (japonica) cross by anther culture, contained 160 RFLP and 83 SSR markers. Unconditional and conditional quantitative trait loci (QTL) mapping was conducted to analyze plant height (PH) and tillers per plant (TP) at ?ve growth stages that were grown at two nitrogen levels. Fourteen PH and 13 TP unconditional QTL were identified in the di?erent growth stages, including 19 QTL from high-nitrogen (HN) and 14 QTL from low-nitrogen (LN) conditions. The conditional QTL for 14 genomic regions under LN/HN conditions showed that there was a significant effect on PH and TP across the different stages. Only one conditional QTL, ph2-3, was unable to be detected in unconditional mapping. More QTL were detected in the ?rst four rice growth stages than in the final stage. Furthermore, a line from the DH mapping population, DH78, was identified in extreme phenotypes of PH and TP that exhibited dwarfism and less-tiller (dft) characters. The gene dft1 was mapped to chromosome 2 using a backcrossed population of DH78/JX17 through a mapbased cloning strategy. The location of dft1 coincided with the mapping region of the small-LOD peak, QTL ph2 and tp2, which were identified in plants grown in low-nitrogen conditions. Further backcrossing and fine-mapping successfully delimited the dft1 locus to a 91 kb region.     

Conditional and unconditional mapping of quantitative trait loci underlying plant height and tiller number in rice (Oryza sativa L.) grown at two nitrogen levels

In this study,we used 127 double haploid (DH) lines to analyze agricultural traits of rice.The DH lines,derived from a ZYQ8 (indica)/JX17 (japonica) cross by anther culture,contained 160 RFLP and 83 SSR markers.Unconditional and conditional quantitative trait loci (QTL) mapping was conducted to analyze plant height (PH) and tillers per plant (TP) at five growth stages that were grown at two nitrogen levels.Fourteen PH and 13 TP unconditional QTL were identified in the different growth stages,including 19 QTL from high-nitrogen (HN) and 14 QTL from low-nitrogen (LN) conditions.The conditional QTL for 14 genomic regions under LN/HN con-ditions showed that there was a significant effect on PH and TP across the different stages.Only one conditional QTL,ph2-3,was unable to be detected in unconditional mapping.More QTL were detected in the first four rice growth stages than in the final stage.Further-more,a line from the DH mapping population,DH78,was identified in extreme phenotypes of PH and TP that exhibited dwarfism and less-tiller (dft) characters.The gene dftl was mapped to chromosome 2 using a backcrossed population of DH78/JX17 through a map-based cloning strategy.The location of dftl coincided with the mapping region of the small-LOD peak,QTL ph2 and tp2,which were identified in plants grown in low-nitrogen conditions.Further backcrossing and fine-mapping successfully delimited the dftl locus to a 91 kb region.     

小麦株高性状的QTL定位分析

以国际小麦作图组织的重组自交系群体W7984×Opata85为材料,在两种不同试验环境(2009年天津东丽区、2009年天津西青区姚村)下,分析其亲本及114个株系群体的株高,并利用QTL作图软件WinQTLCart2.5和区间作图及复合区间作图方法,对控制小麦株高性状的QTL进行定位.共检测到4个与小麦株高相关的QT...