180份玉米自交系亲缘关系的分子评价

利用覆盖玉米全基因组的22对SSR引物,对180份玉米自交系的亲缘关系进行分子评价.结果显示:22对SSR引物共检测到129个等位基因,每一位点平均等位基因数5.9,变幅2～13;平均基因多样性指数和平均多态性信息含量分别为0.583和0.528.基于模型的群体结构分析将所有材料分为5个类群,与国内自交系划分的杂种优势...     

二十八份玉米自交系的RAPD亲缘关系分析

采用RAPD技术,对28份玉米自交系的亲缘关系进行分析。旨在DNA水平上揭示玉米自交系之间的亲缘关系,为进一步提高玉米杂种优势利用水平提供有益的信息从100个10bp随机引物中筛选出24个多态性较好的引物,对28份玉米自交系DNA进行扩增,扩增出24张DNA指纹图谱,其中多态性DNA谱带106条,占总扩增带数的64％。利用DNA扩增结果进行聚类分析,建立了28个玉米自交系的亲缘天系树状图,将供试材料划分为五个类群,RAPD分析结果与已知系谱的亲缘关系基本一致。     

40份玉米自交系的ISSR遗传多样性分析

利用ISSR分子标记技术对40份玉米自交系进行亲缘关系分析。从59条ISSR引物中筛选出10条重复性高、多态性好的引物,分别对全部供试材料进行扩增,共扩出90条清晰谱带,其中多态性条带81条,多态性比率为90.00%,表明供试材料基因组DNA的多态性较高。用 NTSYSpc-2.10软件中的 UPGMA进行聚类分析,40份玉米自交系的遗传相似系数变化范围在0.65~1.00之间,在此基础上构建聚类分析树状图,揭示了玉米各自交系间的亲缘关系。本研究为今后分子水平上玉米优良自交系的改良与选育提供了一定的参考依据。     

ISSR分子标记技术在分析玉米自交系遗传关系研究中的适用性

利用ISSR分子标记技术对59份玉米自交系和1份大刍草材料进行遗传多样性分析.21对ISSR引物共扩增出475条不同位置的带,平均22.6条;多态性带469条,平均22.3条,百分率高达98.7%;不同引物的多态性信息指数(PIC)在0.84～0.94之间.60份材料的遗传相似系数在0.23～0.48之间.经聚类分析,可将这些材料分成两大组,共9个亚组,并且在一定程度上与血缘和系谱是一致的,也存在一些例外.结果表明,ISSR标记尽管可以用于进行遗传多样性分析,但并不是最好的分子标记类型.综合考虑不同的分子标记类型的优缺点,认为ISSR标记在遗传研究较少的作物上应用潜力较大.     

香蕉种质遗传多样性与亲缘关系的AFLP分析

应用AFLP技术,对60个栽培蕉和野生蕉种进行了遗传多样性分析及分类研究。在相似系数0.62的水平上将供试的60份蕉类植物分为4个群体;在相似系数0.64的水平上将栽培蕉划为两个类群;在相似系数0.83的水平上将香牙蕉类群划分为6个亚群;认为传统地将Cavend ish亚群分为5个类别的分类依据与基因型之间并无严格的对应关系。将Saba归入ABB群体;吊罗矮蕉和北大矮蕉2号很可能是同一品种;国家果树种质广州香蕉圃收集的小米蕉、63-1与华农香蕉园种植的小米蕉、63-1均属同名异物情况。     

青花菜及其近缘种亲缘关系SRAP标记分析

利用SRAP分子标记技术,对青花菜与其近缘种进行遗传多样性分析。28对SRAP引物共产生302条谱带,其中多态性谱带203条,多态率为67.22%,表明种质间存在较高的多态性。相似系数分析表明,其变异范围为0.461 5-0.900 6,平均遗传相似系数为0.693 6。‘绿地’和‘矮抗青’之间的亲缘关系最远,遗传相似系数为0.461 5;‘Wzvcst-09-224’和‘Wzvcst-09-225’亲缘关系最近,遗传相似系数为0.900 6。聚类分析可将16个材料分为两大类,第Ⅰ类包括芸薹属甘蓝种蔬菜,第Ⅱ类为芸薹属白菜种。揭示了青花菜及其近缘变种间具有部分相似的遗传基础,亲缘关系较近。结果表明,同一地域或来源的材料间具有较为相近的遗传背景,亲缘关系相对较近。研究结果有助于青花菜与其近缘种间种质资源分类和优异基因利用,加速青花菜新品种选育进程。     

SHEsis, a powerful software platform for analyses of linkage disequilibrium, haplotype construction, and genetic association at polymorphism loci

In multiloci-based genetic association studies of complex diseases, a powerful and high efficient tool for analyses of linkage disequilibrium (LD) between markers, haplotype distributions and many chi-square/p values with a large number of samples has been sought for long. In order to achieve the goal of obtaining meaningful results directly from raw data,we developed a robust and user-friendly software platform with a series of tools for analysis in association study with high efficiency. The platform has been well evaluated by several sets of real data.     

基于AFLP分子标记技术的黑花韭与多星韭遗传多样性与亲缘关系分析

采用AFLP分子标记技术分析了分布在滇中、滇西、滇西北的3个黑花韭居群、3个二倍体多星韭居群和6个四倍体多星韭居群的遗传多样性与亲缘关系.结果表明,12个居群在DNA水平上已发生明显分化.居群间的基因分化系数(GST)为0.444.由GST计算的居群间基因流(Nm)为0.625,表明居群间部分基因流动受阻.12个居群间...     

贵州70份玉米自交系的SSR标记遗传多样性及其杂种优势群分析

从251个SSR标记中筛选出均匀分布在玉米基因组上的88个SSR标记,用以分析评价贵州省2000年以来47个审定品种的70份亲本材料的遗传多样性。SSR标记检测的结果:88个标记共检测出466个等位基因,每个标记可检测等位基因2～18个,平均为5.31个;每个标记位点的多态性信息量(PIC)变化为0.213～0.965,平均为0.586,这表明贵州玉米自交系具有较为丰富的遗传多样性。POPTREE聚类分析结果:70份自交系分为Ⅰ、Ⅱ和Ⅲ类群。Ⅰ类群含8个自交系,以瑞德和兰卡斯特等温带种质为主。Ⅱ类群有11个自交系,以PN78599、瑞德和兰卡斯特等温带种质为主。Ⅲ类群拥有51个自交系,可分为A和B 2个亚群,B亚群还可再分为B1和B2 2个次亚群,A亚群中的10个系以我国地方温带种质为主,B1次亚群中的19个系以贵州地方亚热带种质为主,B2次亚群中的22个系以泰国苏湾热带种质为主。杂种优势利用分析的结果表明,贵州近些年在玉米育种中,主要是利用贵州地方亚热带种质和泰国苏湾热带种质2个杂种优势群,这与其多态位点百分率较高有关,与其群内SSR位点的平均等位数较多有关。贵州玉米育种利用的种质类型较少,有必要加强玉米种...     

基于ISSR分子标记的叶子花亲缘关系分析和指纹图谱构建

为分析品种遗传多样性和遗传距离并构建品种聚类图和指纹图谱,该研究从DNA模板浓度、引物浓度、退火温度和循环次数等方面优化了叶子花ISSR-PCR反应体系和反应程序,利用11个ISSR引物对131个叶子花品种进行PCR扩增,扩增产物经琼脂糖凝胶电泳检测.结果表明:优化的ISSR-PCR反应体系中DNA模板浓度为0.5 n...     

An approach to incorporate linkage disequilibrium structure into genomic association analysis

In this study, we propose to use the principal component analysis (PCA) and regression model to incorporate linkage disequilibrium (LD) in genomic association data analysis. To accommodate LD in genomic data and reduce multiple testing, we suggest performing PCA and extracting the PCA score to capture the variation of genomic data, after which regression analysis is used to assess the association of the disease with the principal component score. An empirical analysis result shows that both genotype-basod correlation matrix and haplotype-based LD matrix can produce similar results for PCA. Principal component score seems to be more powerful in detecting genetic association because the principal component score is quantitatively measured and may be able to capture the effect of multiple loci.     

Gene mapping by linkage and association analysis

Genetic analysis is used to map genes, including disease loci, to positions within the human genome. Linkage analysis depends on the co-segregation of a gene (locus) and a phenotype through a pedigree, while association analysis, or linkage disequilibrium mapping, depends on measuring deviation from the random occurrence of alleles in a haplotype in unrelated individuals or nuclear families. Complex computer programs may be used in both forms of analysis. In recent years most interest has focused on identifying genes involved in common, multifactorial diseases. Here I review some current and developing techniques of genetic analysis and give references to where further information can be obtained.     

Social heterosis and the maintenance of genetic diversity at the genome level

Social heterosis is when individuals in groups or neighbourhoods receive a mutualistic benefit from across‐individual genetic diversity. Although it can be a viable evolutionary mechanism to maintain allelic diversity at a given locus, its efficacy at maintaining genome‐wide diversity is in question when multiple loci are being simultaneously selected. Therefore, we modelled social heterosis in a population of haploid genomes of two‐ or three‐linked loci. With such linkages, social heterosis decreases gametic diversity, but maintains allelic diversity. Genomes tend to survive as complimentary pairs, with alternate alleles at each locus (e.g. the pair AbC and aBc). The outcomes of selection appear similar to fitness epistasis but are novel in the sense that phenotypic interactions occur across rather than within individuals. The model’s results strongly suggest that strong linkage across gene loci actually increases the probability that social heterosis maintains significant genetic diversity at the level of the genome.     

应用关联分析鉴定大豆对斜纹夜蛾的抗性基因

用135个分布于全基因组的SSR（simple sequence repeat）标记分析196份大豆（Glycine max）地方品种的遗传变异、群体结构和连锁不平衡（linkage disequilibrium,LD）。在考虑群体结构的条件下,应用全基因组关联分析的方法鉴定与大豆抗斜纹夜蛾有关的数量性状位点,进而发掘各关联位点的优异等位基因及代表性载体材料。结果表明：（1）该群体不仅地理起源广,而且遗传变异丰富;（2）在整个群体内,有17.9%的标记对处于显著的连锁不平衡,而且在相同染色体上标记对间连锁不平衡延伸的平均距离约为6.61cM（D＇〉0,P〈0.05）;（3）通过关联分析发现,有7个SSR标记分别与3个大豆抗斜纹夜蛾性状关联（P〈0.01）,其中4个位点对性状的变异解释率超过了10%,6个位点所在的连锁群上存在已报道的食叶性害虫抗性位点;（4）各位点等位基因的效应分析显示,幼虫重相关位点的等位基因主要表现为减效作用,等位基因Sat_334-A208减效作用最大（43.9%）;单虫食叶量和蛹重相关位点的等位基因主要表现为增效作用;等位基因Satt199-A186对单虫食叶量增效作用最大（36.4%）;等位基因Sat_320-A286对蛹重增效作用最大（31.4%）。     

'Social heterosis' as a process that maintains genetic variation--a comment

In the 'mating pool' mode of reproduction, offspring genotypes at each generation are taken randomly from a common population and subdivided into groups where individuals representing a finite sample from the pooled distribution reproduce proportional to their fitness. Assuming that genetically diverse groups contribute more offspring, a recent article by Nonacs & Kapheim [J. Evol. Biol. 20 (2007) 2253] shows that allelic diversity can be easily maintained and proposes the process of 'social heterosis' as a potentially powerful mechanism that accounts for a significant amount of genetic variation. Contrary to their suggestions, I show here that there is a reduced efficiency of selection and an increased probability of fixation of segregating alleles when many loci are simultaneously undergoing social heterosis even if independence of action of the different loci and linkage equilibrium are assumed. The critical issue is that linkage disequilibria are generated by the sampling process of creating small groups and interfere with selection.     

关联分析及其在植物遗传学研究中的应用

植物的很多重要经济性状均属于复杂性状。基于连锁分析的QTL作图是研究复杂性状的有效手段, 但其尚存在一定的局限性。随着现代生物学的发展, 一种基于连锁不平衡的新剖分复杂性状方法--关联分析法, 开始应用于植物遗传学研究。与QTL作图法相比, 应用关联分析法具有不需要构建特殊的群体, 可同时对多个等位基因进行分析, 定位QTL精度可达到单基因水平等优势。该文介绍了关联分析方法学的基础和特性, 简述了其在植物遗传学研究中的进展情况, 并对其未来发展和在植物遗传学研究中的应用进行了展望。     

Population differences in levels of linkage disequilibrium in the wild

Information about the levels of linkage disequilibrium (LD) in wild animal populations is still limited, and this is true particularly with respect to possible interpopulation variation in the levels of LD. We compared the levels and extent of LD at the genome‐wide scale in three Siberian jay (Perisoreus infaustus) populations, two of which (Kuusamo and Ylläs) represented outbred populations within the main distribution area of the species, whereas the third (Suupohja) was a semi‐isolated, partially inbred population at the margin of the species’ distribution area. Although extensive long‐range LD (>20 cM) was observed in all three populations, LD generally decayed to background levels at a distance of 1–5 cM or c. 200–600 kb. The degree and extent of LD differed markedly between populations but aligned closely with both observed levels of within‐population genetic variation and expectations based on population history. The levels of LD were highest in the most inbred population with strong population substructure (Suupohja), compared with the two outbred populations. Furthermore, the decay of LD with increasing distance was slower in Suupohja, compared with the other two populations. By demonstrating that levels of LD can vary greatly over relatively short geographical distances within a species, these results suggest that prospects for association mapping differ from population to population. In this example, the prospects are best in the Suupohja population, given that minimized marker genotyping and a minimum marker spacing of 1–5 cM (c. 200–600 kb) would be sufficient for a whole genome scan for detecting QTL.