中国明对虾AFLP分子标记遗传连锁图谱的构建

以中国明对虾抗WSSV(白斑综合症病毒,WhiteSpotSyndromeVirus)选育群体第四代为母本,野生中国明对虾为父本,采用单对杂交方式产生F1代,F1代个体姊妹交产生F2代共42个个体为做图群体。62对AFLP选择性引物组合共产生529个分离位点,符合1∶1孟德尔分离类型位点共253个,3∶1孟德尔分离类型位点共276个。利用拟测交理论分别构建中国明对虾雌虾、雄虾的遗传连锁图谱,利用F2自交模型构建共同的AFLP分子标记连锁图谱。三张连锁图上分别有31、25和44个连锁群,图谱分辨率为分别为2.4cM、2.4cM和2.1cM。标记间隔距离分别为12.20cM、11.45cM和11.12cM图谱覆盖率分别达到50.21%、51.93%和48.08%。能够基本满足进行QTL(数量性状位点,QuantitativeTraitLocus)定位的需要。将该图谱和其他对虾类遗传连锁图谱进行了比较分析,探讨了利用相关分子标记将已有图谱进行整合的可能。     

利用RAPD标记构建美洲黑杨×欧美杨分子标记连锁图谱

本文利用RAPD标记和美洲黑杨(Populusdeltoides)×欧美杨(P.euramericana)的F1 群体 ,构建了美洲黑杨×欧美杨的分子标记连锁图谱。实验过程中对1040个寡核苷酸随机引物进行了重复筛选 ,共选出127个引物用于作图群体(包括双亲共92个无性系)的随机扩增 ,这127个引物产生229个多态基因座 ,其中符合“拟测交”1∶1分离的有214个。利用多点连锁分析 ,形成19个连锁群及6个三连体和14个连锁对。由19个连锁群构成的图谱含标记129个 ,总图距为1914 2cM ,覆盖杨树基因组约73 62 %。标记间的平均间距为14 84cM。本研究获得了中等密度的美洲黑杨×欧美杨的一个连锁框架。     

分子标记在绿豆遗传连锁图谱构建和基因定位研究中的应用

绿豆(Vigna radiata(L.)Wilczek)作为一种医食两用作物,不仅是重要的食物资源,在改善土壤环境、提高农民收入等方面也发挥着重要作用。然而,相对于大宗作物而言,绿豆基础研究薄弱,基因组研究更是落后。近年来,分子标记技术迅速发展,在绿豆基因组学研究中发挥了重要的作用。国内外利用分子标记技术已构建了超过20张绿豆遗传连锁图谱。一些优良基因尤其是与抗性相关的基因被鉴定或精细定位,为绿豆分子标记辅助选择打下基础,加快了抗性新品种的培育进程。本研究通过对分子标记技术在绿豆遗传连锁图谱构建、重要功能基因的定位等方面的应用进行综述,以期为绿豆遗传育种研究及功能基因组学分析提供参考。     

利用RAPD标记和单株树大配子体构建马尾松的分子标记连锁图谱

利用300个随机的寡核苷酸引物和马尾松(Pinus massoniana Lamb.)种子的胚乳(大配子体)产生的随机扩增多态性DNA(RAPD)分子标记,进行马尾松标记连锁图谱的构建。经筛选共获得64个稳定的RAPD标记,利用多点连锁分析,其中的48个标记分属于13个不同的连锁群(连锁对),该图谱覆盖的基因组总长度约为692.5cM(centimorgan),标记间平均距离约为14.7cM,它为马尾松连锁图谱的构建提供了一个连锁框架。     

利用RAPD标记构建响叶杨和银白杨分子标记连锁图谱

利用ＲＡＰＤ标记响叶杨（ Ｐｏｐｕｌｕｓ ａｄｅｎｏｐｏｄａ Ｍａｘｉｍ ．） ×银白杨（ Ｐ． ａｌｂａ Ｌ．） 的Ｆ１ 群体,按照拟测交的作图策略,分别构建了响叶杨和银白杨的分子标记连锁图谱。实验过程中对６００ 个随机的寡核苷酸引物进行了重复筛选,共选出１２８ 个引物用于作图群体的随机扩增,选择符合１∶１ 分离的拟测交位点。作图群体大小为８２ 个单株（ 包括双亲） 。结果获得了３２６ 个拟测交分离位点和７ 个３∶１ 分离位点。拟测交位点中有２３８ 个位点来源于银白杨,有８８个位点来源于响叶杨。经偏分离检测,用于银白杨作图的位点共计２１２ 个（２６ 个位点偏分离） ,用于响叶杨作图的位点共计７８ 个（１０ 个位点偏分离） 。利用多点连锁分析,银白杨中有１８９ 个连锁标记构成了２０ 个不同的连锁群（４个以上标记）,６ 个三连体和１６ 个连锁对,连锁标记覆盖的总图距为２４０２ ．４ ｃＭ（ｃｅｎｔｉｍｏｒｇａｎ） 。而响叶杨有４１ 个连锁标记分属于１２ 个不同的连锁群（２ 个以上标记） ,标记覆盖的总图距为４７９ ．４ ｃＭ。获得了中等密度的银白杨连锁图谱和响叶杨图谱的一个连锁框架     

利用RAPD标记构建美洲黑杨×欧美分子标记连锁图谱

本文利用RAPD标记和美洲黑杨(Populus deltoides)×欧美杨(P.euramericana)的F1群体,构建了美洲黑杨×欧美杨的分子标记连锁图谱。实验过程中对1040个寡核苷酸随机引物进行了重复筛选,共选出127个引物用于作图群体(包括双亲共92个无性系)的随机扩增,这127个引物产生229个多态基因座,其中符合“拟测交”1∶1分离的有214个。利用多点连锁分析,形成19个连锁群及6个三连体和14个连锁对。由19个连锁群构成的图谱含标记129个,总图距为1914.2cM,覆盖杨树基因组约73.62％。标记间的平均间距为14.84cM。本研究获得了中等密度的美洲黑杨×欧美杨的一个连锁框架。 Abstract:A molecular linkage map was constructed for the parents of a P.deltoides × P.euramericana F1 family based on random amplified polymorphic DNA(RAPD)markers.A set of 1040 random oligonucleotide primers were screened and 127 primers were selected to generate RAPD markers within a sample of 90 F1 progenies.A total of 229 segregating loci were identified.Among the 229 loci,15 loci were found distorted from the normal 1∶1 ratio.Using multiple analysis,the 214 markers formed 19 main Linkage groups (including 129 markers)and b triples and 14 pairs.The resulting Linkage map of Populus deltoides × P.euramericana (including 129 markers)spanned 1914.2cM(73.62％ coverage of genome length)with an average distance of 14.84cM between markers.     

利用RAPD标记构建美洲黑杨×欧美分子标记连锁图谱

本文利用RAPD标记和美洲黑杨(Populus deltoides)×欧美杨(P.euramericana)的F1群体,构建了美洲黑杨×欧美杨的分子标记连锁图谱。实验过程中对1040个寡核苷酸随机引物进行了重复筛选,共选出127个引物用于作图群体(包括双亲共92个无性系)的随机扩增,这127个引物产生229个多态基因座,其中符合“拟测交”1∶1分离的有214个。利用多点连锁分析,形成19个连锁群及6个三连体和14个连锁对。由19个连锁群构成的图谱含标记129个,总图距为1914.2cM,覆盖杨树基因组约73.62％。标记间的平均间距为14.84cM。本研究获得了中等密度的美洲黑杨×欧美杨的一个连锁框架。 Abstract:A molecular linkage map was constructed for the parents of a P.deltoides × P.euramericana F1 family based on random amplified polymorphic DNA(RAPD)markers.A set of 1040 random oligonucleotide primers were screened and 127 primers were selected to generate RAPD markers within a sample of 90 F1 progenies.A total of 229 segregating loci were identified.Among the 229 loci,15 loci were found distorted from the normal 1∶1 ratio.Using multiple analysis,the 214 markers formed 19 main Linkage groups (including 129 markers)and b triples and 14 pairs.The resulting Linkage map of Populus deltoides × P.euramericana (including 129 markers)spanned 1914.2cM(73.62％ coverage of genome length)with an average distance of 14.84cM between markers.     

家蚕AFLP连锁框架图谱的构建

利用改进的AFLP分子标记方法,对家蚕Bombyx mori回交一代BC1群体进行连锁图谱的构建。经17组AFLP引物的选择性扩增,共得到430个多态位点,卡方检验后有253个为有效位点。利用Mapmaker/Exp (Version 3.0b)软件作连锁分析,其中163个标记分属28个连锁群,连锁群标记数变化范围是2～28个,平均每个连锁群标记数为5.8个,该图覆盖的基因组长度为2.998.9cM(图距单位),连锁群长度变化范围为4.5～652.8 cM,连锁群的平均长度为107.1 cM,平均图距为4.5～36.7 cM。     

家蚕高密度AFLP连锁图谱的构建

为了进行家蚕Bombyx mori数量性状的QTL定位研究,以白色茧系品种C₁₀₀ (♀)和近交系大造(P50)(♂)杂交得到F₁,用F₁(♂)与双隐性标记的C₁₀₀ (♀)回交,得到回交一代(BC₁),用改进的AFLP分子标记方法,经96组选择性扩增引物扩增,获得分离比为1∶1(P≤0.05)的1 744个AFLP位点。用Map Manager QTXb19（Version 0.29）连锁图谱构建软件,构建了具有814个标记,36个连锁群的家蚕高密度AFLP分子标记连锁图谱。该连锁图谱覆盖的家蚕基因组长度为13 005 cM,连锁群长度变化范围为109.0～1 573.7 cM,连锁群的平均长度为361.25 cM,其标记间平均图距15.98 cM,最小图距2.3 cM,最大图距47.7 cM,标记间大于30 cM的gap共有39个。该连锁图平均每个连锁群23个标记,最多一个连锁群有92个标记,最少8个标记。该连锁图谱确定了与经典实验遗传图谱第15连锁群和W染色体连锁群相对应的两个连锁群。     

姜花属SRAP分子标记连锁图谱构建

采用拟测交作图策略,利用白姜花×圆瓣姜花的F1群体87个单株,分别构建了父母本的基于SRAP标记的连锁图谱。通过筛选,414对引物中,92对引物可以检测到拟测交位点。在检测到的398个拟测交位点中,237个来自于父本圆瓣姜花,161个来自于母本。经过卡方（x^2）测验及连锁分析,父本中,203个标记进入23个连锁群,覆盖了1386．8cm;母本中,139个标记进入18个连锁群,覆盖了917．1cm。     

不同作图群体对显隐性分子标记位点的作图效率

根据位点组合和位点的有效性,发展了一种对使用３种不同的作用图群体作图显隐性分子标记的作图效率评价方法,应用该方法所评价的结果是,双单倍体（ＤＨ）群体的作图效率最高,自交群体（Ｆ２群体）与回交群体的作图效率相同,因此使用双单倍体群体作图不仅所用费用低,而且作图速度快,但只有在极少数植物中能获得双单倍体群体,对于那些不能获得双单倍体的动植物物种而言,可使用自交群体或回交群体作图。如果作高密度的分子标记     

DNA分子标记和基因定位

总结了现代分子生物学所发展出来的各类分子标记,并对分子标记应用的一个重要方面－－基因定位进行了详细阐述。     

Molecular Tagging and Mapping of Quantitative Trait Loci for Lint Percentage and Morphological Marker Genes in Upland Cotton

Using 219 F2 Individuals developed by crossing the genetic standard line TM-1 and the multiple dominant marker line T586 In Gossyplum hirsutum L., a genetic linkage map with 19 linkage groups was constructed based on simple sequence repeat （SSR） markers. Compared with our tetraploid backboned molecular genetic map from a （TM-1xHal 7124）xTM-1 BC1 population, 17 of the 19 I｜nkage groups were combined and anchored to 12 chromosomes （sub-genomes）. Of these groups, four morphological marker genes In T586 had been mapped Into the molecular linkage map. Meanwhile, three quantitative trait loci for lint percentage were tagged and mapped separately on the A03 linkage group and chromosome 6.     

胚乳性状数量基因的定位方法

将三倍体胚乳性状的数量遗传模型和二倍体性状数量基因（QTL）图构建方法相结合,导出双侧标记基因型下有关胚乳性状QTL的遗传组成、平均数和遗传方差分量,据之提出以某一区间双侧标记基因型胚乳性状的平均值为依变数,以该区间内任一点假定存在的QTL的加性效应d、显性效应h1和／或h2的系数为自变数,进行有重复观察值的多元线性回归分析,根据多元线性回归的显著性测验该点是否存在QTL,并估计出QTL的遗传效应。给定区间内任一点,皆可以此进行分析,从而可在整条染色体上作图,并以之确定QTL的数目和最可能位置,同时,在检测某一区间时,利用多元线性回归方法将该区间外可能存在的QTL的干扰进行统计控制,以提高QTL检测的精度。此外,还讨论了如何将之推广应用于其他类型的DNA不对应资料以及具复杂遗传模型的胚乳性状资料。     

与偏分离位点连锁的QTL作图的统计方法

提出了一种统计方法,可以估计与偏分离位点连锁的QTL的位置和效应。该方法利用回交群体中呈现偏分离的分子标记,首先用最大似然法对偏分离位点与标记位点之间的重组率和配子存活率进行估计,然后用区间作图法估计加性-显性模型下QTL的位置和效应参数。该方法可用于对常规作图研究中表现偏分离的标记进行分析,以帮助我们发现新的偏分离基因（或不育基因）和数量性状位点。     

微卫星标记与奶牛数量性状QTL定位

本文对奶牛产奶性能（产奶量、乳脂率、乳脂量、蛋白率、蛋白量）、乳房炎及体细胞数、繁殖性能、生产寿命等数量性状QTL定位研究进展进行了综述。 Abstract:Mapping of quantitative trait loci for some important traits (milk yield,fat percentage,fat yield,protein percentage,protein yield,clinical mastitis and somatic cell count,reproductive performance,productive life,etc.) in dairy cattle was introduced in this review.     

多QTL定位的压缩估计方法

本文综述了多标记分析和多QTL定位的压缩估计方法。对于前者,Xu（Genetics,2003,163：789—801）首先提出了Bayesian压缩估计方法。其关键在于让每个效应有一个特定的方差参数,而该方差又服从一定的先验分布,以致能从资料中估计之。由此,能够同时估计大量分子标记基因座的遗传效应,即使大多数标记的效应是可忽略的。然而,对于上位性遗传模型,其运算时间还是过长。为此,笔者将上述思想嵌入极大似然法,提出了惩罚最大似然方法。模拟研究显示：该方法能处理变量个数大于样本容量10倍左右的线性遗传模型。对于后者,本文详细介绍了基于固定区间和可变区间的Bayesian压缩估计方法。固定区间方法可处理中等密度的分子标记资料;可变区间方法则可分析高密度分子标记资料,甚至是上位性遗传模型。对于上位性检测,已介绍的惩罚最大似然方法和可变区间Bayesian压缩估计方法可供利用。应当指出,压缩估计方法在今后的eQTL和QTN定位以及基因互作网络分析等研究中也是有应用价值的。     

Shrinkage Estimation Method for Mapping Multiple Quantitative Trait Loci

In this article, shrinkage estimation method for multiple-marker analysis and for mapping multiple quantitative trait loci (QTL) was reviewed. For multiple-marker analysis, Xu (Genetics, 2003, 163:789-801) developed a Bayesian shrinkage estimation (BSE) method. The key to the success of this method is to allow each marker effect have its own variance parameter, which in turn has its own prior distribution so that the variance can be estimated from the data. Under this hierarchical model, a large number of markers can be handled although most of them may have negligible effects. Under epistatic genetic model, however, the running time is very long. To overcome this problem, a novel method of incorporating the idea described above into maximum likelihood, known as penalized likelihood method, was proposed. A simulated study showed that this method can handle a model with multiple effects, which are ten times larger than the sample size. For multiple QTL analysis, two modified versions for the BSE method were introduced: one is the fixed-interval method and another is the variable-interval method. The former deals with markers with intermediate density, and the latter can handle markers with extremely high density as well as model with epistatic effects. For the detection of epistatic effects, penalized likelihood method and the variable-interval approach of the BSE method are available.     

Identification of genetic factors for alachlor tolerance in maize by molecular markers analysis

Genetic factors controlling tolerance to the herbicide Alachlor in maize were localised by means of two different strategies. In the first approach, backcross (BC) plants, derived from pollen which had been subjected to selective pressure for resistance to the herbicide, were analysed for segregation distortion at 47 RFLP loci and compared to BC plants obtained from non-selected pollen. Preferential transmission of five chromosomal regions where putative QTLs (Quantitative Trait Loci) are localised was revealed in the BC plants from selected pollen. A second approach was based on a classical linkage analysis for segregation of the same set of RFLPs and factors controlling the trait, in a BC population of 210 individuals, by means of regression analysis. This study detected seven significant loci in four genomic regions. Overall, two loci revealed both segregation distortion and association with the expression of the trait, indicating linkage to genes expressed in both gametophytic and sporophytic phase. Three chromosomal regions appeared to carry factors involved in plant tolerance to Alachlor which are not expressed in pollen. Conversely, three loci were linked to factors selectable in pollen, but did not reveal significant association with tolerance in the plant in the segregating populations.     

Maximum-likelihood models for mapping genetic markers showing segregation distortion. 1. Backcross populations

A maximum-likelihood approach is used in order to estimate recombination fractions between markers showing segregation distortion in backcross populations. It is assumed that the distortions are induced by viability differences between gametes or zygotes due to one or more selected genes. We show that Bailey's (1949) estimate stays consistent and efficient under more general assumptions than those defined by its author. This estimate should therefore be used instead of the classical maximum-likelihood estimate. The question of detection of linkage is also discussed. We show that the order of markers on linkage groups may be affected by segregation distortion.