河北省大豆推广品种遗传多样性分析

利用主要农艺性状以及SSR和AFLP2种分子标记,对河北省41个大豆推广品种进行遗传多样性分析,以便为种质资源利用和创新提供依据。农艺性状聚类结果将41个材料划分为3个类群和2个特殊品种,聚类结果与材料系谱来源相差悬殊,不能反映材料间亲缘关系。SSR和AFLP数据聚类结果将41个材料划分为4个SAG（SSR and AFLP—basedgroups）分子类群。30对SSR引物共检测出135个等位变异,平均每个位点上有4．47个等位变异,SSR的遗传多样性指数（Simpson）分布范围为0．0928～0．7800,平均值为0、6442。10对AFLP引物共扩增出93个多态性标记,平均每对引物9．3个多态性标记。品种间的遗传相似系数（GS）变化范围为0．5877～0．9868,平均值变化范围为0．6732～0．7653,总体平均值为0.7237,遗传相似系数较高,说明材料间遗传变异较小。     

用SSR和AFLP技术分析花生抗青枯病种质遗传多样性的比较

由Ralstonia solanacearum E.F.Smith引起的青枯病是若干亚洲和非洲国家花生生产的重要限制因子,利用抗病品种是防治这一病害最好的措施。虽然一大批抗青枯病花生种质资源材料已被鉴定出来,但对其遗传多样性没有足够的研究,限制了在育种中的有效利用。本研究以31份对青枯病具有不同抗性的栽培种花生种质为材料,通过简单序列重复(SSR)和扩增片段长度多态性(AFLP)技术分析了它们的遗传多样性。通过78对SSR引物和126对AFLP引物的鉴定,筛选出能显示抗青枯病种质多态性的SSR引物29对和AFLP引物32对。所选用的29对多态性SSR引物共扩增91条多态性带,平均每对引物扩增3.14条多态性带;32对多态性AFLP引物共扩增72条多态性带,平均扩增2.25条多态性带。在所筛选引物中,4对SSR引物(14H06,7G02,3A8,16C6)和1对AFLP引物(P1M62)检测花生多态性的效果优于其他引物。SSR分析获得的31个花生种质的遗传距离为0.12-0.94,平均为0.53,而AFLP分析获得的遗传距离为0.06～0.57,平均为0.25,基于SSR分析的遗传距离大于基于AFLP分析的遗传距离,疏枝亚种组的遗传分化相对大于密枝亚种组。基于两种分析方法所获得的聚类结果基本一致,但SSR数据聚类结果与栽培种花生的形态分类系统更为吻合。根据分析结果,对构建青枯病抗性遗传图谱群体的核心亲本和抗性育种策略提出了建议。     

转基因抗虫棉SSR和AFLP遗传变异研究

利用SSR和AFLP两种分子标记技术,分析了52份转基因抗虫棉品种（系）的遗传多样性。结果表明：在61对SSR引物中,有4对引物在供试材料中表现出多态性,共扩增出102个标记,其中多态性标记25个,多态性百分率为24．51％,每对引物的扩增带数变化在17～30之间;在100对AFLP引物中,有9对引物在供试材料中产生多态性,共扩增出618个标记,多态性标记33个,占总数的5．34％,每对引物组合扩增的标记数分布于47～81之间。成对品种的欧式距离变化在2．00～5．57之间,平均值为4．21,单一品种欧氏距离的平均值分布在3．73～4．75之间,表明不同品种之间遗传差异不大。基于SSRs和AFLPs多态性数据的聚类分析,可以将供试材料划分为3个类群（SAGs）,但类群划分与品种地理来源不十分吻合。     

黄淮麦区小麦品种(系)的ISSR位点遗传多样性分析

选用11个ISSR引物,对黄淮麦区96个小麦推广品种（系）进行遗传多样性分析。共检测到96个多态性位点,每个引物多态性位点数平均为8．7个,变幅为3～23个;ISSR引物的多态性信息含量PIC变幅为0．601～0．941,平均0．791,表明ISSR具有较强的品种间区分能力,是研究小麦种质资源遗传多样性的有效分子标记技术之一。96个品种（系）间,Nei’s遗传相似系数变化范围为0．53～0．91,平均为0．60,品种间遗传相似性变幅较大,表明黄淮麦区不同小麦品种（系）间存在着不同程度的遗传多样性差异。根据品种间遗传相似系数聚类,96份材料被聚成8大类群,共14个亚类,类群与系谱和原产地无关。     

51个春兰(Cymbidium goeringii)品种的AFLP遗传多样性分析

为了揭示春兰品种的遗传多样性和亲缘关系,为春兰种质资源的有效利用和开发提供依据,采用AFLP技术对51个春兰品种进行了遗传多样性分析,经筛选得到了8对条带清晰、多态性高的引物,共扩增出1315条DNA片段,其中多态性条带为1217条,平均1对引物扩增条带164条,多态性带152条,多态性位点频率为92.5%,表明春兰品种具有丰富的遗传多态性。49个品种含有特有带。51个品种间遗传相似系数变化范围为0.501~0.716,聚类分析表明,51个春兰品种共分为5个类群,来自同一地区的品种并没有聚在一起,表明春兰品种的遗传背景混乱。AFLP分子标记技术能有效地分析春兰品种的遗传多样性和亲缘关系。     

巨峰葡萄系谱的SSR与RAPD分析

利用RAPD和SSR 2种标记分别对系谱关系明确的22个巨峰系葡萄品种进行聚类分析,以验证2种标记方法的正确性与可靠性.结果显示,11条RAPD引物和12对SSR引物,分别扩增了82和43个清晰的条带.RAPD与SSR引物扩增的条带中分别有58和31条多态性带,其多态性比率分别为70.7％和72.1％.2种分子标记聚类结果基本一致,并且都能有效地将品种区分开来以及正确反映22个葡萄品种的亲缘关系.研究结果说明RAPD和SSR 2种分子标记均适合于巨峰系葡萄的系谱分析和种质遗传多样性研究.     

基于SSR标记的贵州薏苡种质资源遗传多样性?分析

利用SSR标记研究了22份薏苡种质的遗传多样性,用11对扩增带型稳定的SSR引物从供试材料中检测出105个等位基因变异,每对引物检测等位基因4～20个,平均9.55个。SSR引物的PIC介于0.3048～0.9238,平均多态性信息量为0.8255。利用UPGMA聚类分系法将供试自交系划分为4类,该划分结果与根据地理来源、种质系谱的分类结果基本一致。SSR分子标记辅助的种质改良是薏苡品种改良的重要途径。     

利用AFLP标记鉴定小豆种质遗传多样性

利用11对AFLP引物对106份小豆种质的基因组DNA进行扩增,共扩增出603条清晰可辨的带型,其中208条具有多态性,比例为34．5％,平均每对引物扩增出18．9条多态性带。基于AFLP标记,把106份小豆种质聚类划分为4个组群,该组群的划分与小豆的生态地域性存在一定的相关性。     

21个枣品种（系）的AFLP指纹分析

采用AFLP技术,利用从30对引物中筛选出的10对多态性较好的引物,对21个枣品种(系)的基因组DNA进行了分析,共扩增出条带531条,其中多态性条带216条,多态性位点百分比为40.68%.采用UPGMA法,对AFLP扩增结果进行了聚类分析,将供试品种(系)分为6类,并得到了18个品种(系)的特征性AFLP标记,可为分子水平进行枣种质鉴定提供参考.     

黄淮麦区以1B/1R类品种为抗源主要育成小麦品种的遗传多样性分析

采用SSR技术对黄淮麦区以1B／1R类品种为抗源育成的38个小麦品种进行聚类分析。39个SSR引物共扩增出186条谱带,其中143务为多态性条带,占76．9％。每个引物可扩增出1～9条多态性条带,平均3．7条。位点多态性信息含量PIC变幅为0．320-0．857,平均为0．634。聚类分析表明,在遗传距离GD值0．32水平上38个小麦品种可聚成六大类。品种间遗传距离GD变幅为0．10769～0．48571。SSR标记揭示出这38个具有黑麦血缘的小麦品种遗传变异较小,遗传基础比较狭窄。     

AFLP analysis of genetic relationships among aromatic grapevines (<Emphasis Type="Italic">Vitis vinifera</Emphasis>)

Genotypic diversity has been detected among aromatic grapevines (Vitis vinifera) by molecular markers (AFLPs). The 22 primer-pairs generated a total of 1,331 bands of which 564 (40%) were polymorphic over all the genotypes. The bootstrap analysis pointed out that a large number of polymorphic bands (200–400) has to be used for a better estimation of the genetic distances among genotypes; 383 polymorphic AFLP bands were used for the cluster and the principal coordinate analyses because they did not present missing data across all the genotypes. The cluster analysis (UPGMA), based on polymorphic AFLP markers, revealed no relationship between the Moscato and Malvasia grapevines. The Malvasias, unlike the Moscatos distinguished by their distinct muscat aroma, have to be considered a more complex group because it includes muscat and non-muscat grapevines. The principal coordinate analysis (PCO) confirmed the pattern of the cluster analysis only for those varieties which presented a low coefficient of dissimilarity, while for the other varieties there was no correspondence between the two analyses. The pattern of aggregation among aromatic grapevines in the cluster and principal coordinate analyses does not support any classification that might include an aromatic grapevine group in V. vinifera. Even though some synonyms and homonyms are present among aromatic grapevines (V. vinifera), genetic diversity exists among genotypes in AFLP markers.Communicated by H.F. Linskens     

Comparative Evaluation of RAPD and AFLP Based Genetic Diversity in Brinjal (Solanum melongena)

The present investigation was carried out with an objective of evaluating genetic diversity in brinjal (Solanum melongena) using DNA markers. A total of 38 brinjal accessions including one wild-species, Solanum sisymbrifolium were characterized using random amplified polymorphic DNA (RAP D) and amplified fragment length polymorphism (AFLP) techniques. Out of 45 primers employed to generate RAPD profiles, reproducible patterns were obtained with 32 primers and 30 (93.7%) of these detected polymorphism. A total of 149 bands were obtained, out of which 108 (72.4%) were polymorphic. AFLP analysis was carried out using four primer combinations. Each of these primers was highly polymorphic. Out of 253 fragments amplified from these four primer combinations, 237 (93.6%) were polymorphic. The extent of pair-wise similarity ranged from 0.264 to 0.946 with a mean of 0.787 in RAPD, in contrast to a range of 0.103 to 0.847 with a mean of 0.434 in AFLP. The wild species clustered separately from the brinjal genotypes. In the dendrogram constructed separately using RAPD and AFLP markers, the brinjal genotypes were grouped into clusters and sub-clusters, and the varieties released by IARI remained together on both the dendrograms. All the 30 RAPD primers in combination and each of the four primer pairs in AFLP could distinguish the brinjal accessions from each other. AFLP was thus found to be more efficient than RAPD in estimation of genetic diversity and differentiation of varieties in brinjal.     

Genetic similarity among cultivars of Phyllostachys pubescens

Phyllostachys pubescens is the most important economic bamboo species in China, which grows widely in the South of China. There are more than ten cultivars in this species but their genetic relationship still remains unknown. We used both amplified fragment length polymorphism (AFLP) and inter-simple sequence repeat (ISSR) techniques to determine genetic similarity among ten cultivars of P. pubescens and two related species. Eight hundred and twenty seven bands, in which 495 are polymorphic, were detected using 15 pairs of AFLP primers whereas total 231 bands, in which 154 bands are polymorphic, were scored using 16 ISSR primers. Statistic analysis showed that the genetic similarity matrices obtained from these two sets of molecular markers had a significant correlation (R = 0.959, P = 0.013). The dendrogram generated with AFLP and ISSR markers could clearly genetically identify ten cultivars of P. pubescens that had high similarity with genetic distances ranging from 0.023 to 0.108, and could be divided into three groups based on their genetic variation and similarity. Our results suggest that these molecular markers are useful to genetically classify cultivars or varieties of a species, particularly a bamboo species.     

Relationships among fourteen species of Satureja growing wild in Iran detected with molecular markers

The genus Satureja is an important plant with a number of aromatic and medicinal properties. In this research, the relative efficiencies of amplified fragment length polymorphism (AFLP) and selectively amplified microsatellite polymorphic loci (SAMPL) were used to detect genetic relationships among 14 species of Satureja, growing wild in Iran. Eleven AFLP and 14 SAMPL primer combinations produced 999 and 1142 scorable bands, respectively, all of the fragments of which were found to be polymorphic. The average genetic similarity values based on Jaccard's coefficient were 0.24 and 0.21 for AFLP and SAMPL, respectively, indicating considerable distance and diversity in the studied germplasm. The correlation coefficients were statistically significant between both marker systems (r = 0.89). UPGMA derived from the combined binary data matrices of both markers depicted genetic distinctions among the studied species and clustered them into two main clusters and several groups. S. edmondi showed the maximum distance from other species and was placed into a single main cluster, while the maximum similarity was obtained between S. rechingeri and S. khuzistanica. Our results indicate that both marker systems are suitable for differentiating individuals and species of this genus.     

黔东南香禾糯AFLP遗传多样性分析与评价

香禾糯是我国侗族人民数百年来的传统主食,也是传统农业生态系统的重要组成部分。本文通过民族植物学调查与现代分子生物学试验相结合的方法,对黔东南侗族地区传统分类的香禾糯农家品种进行了评价,以便探讨香禾糯种质资源的遗传多样性变化。通过8对AFLP引物并基于遗传距离和遗传相似系数,对从黔东南侗族地区收集的95个香禾糯农家品种进行了分析。共检测到707个位点,其中多态性位点为619个,占87.55%,Shannon-Weiner多样性指数为0.3738,基因多样性指数为0.2446,遗传相似系数为0.7121~0.9958。当遗传相似系数为0.7546时,可划分为Ⅰ、Ⅱ两大类,外加1个特殊品种,其中Ⅰ类群有88个品种,Ⅱ类群有6个品种,来自相同和相邻侗寨或者形态性状相近的品种并没有完全聚在一起。结果表明黔东南地区香禾糯农家品种遗传多样性总体水平较高,特别是传统耕作文化保护较好的侗寨内,其遗传背景差异较大。香禾糯种质资源的多样性形成,在很大程度上与黔东南地区复杂多变的自然环境有关,还与该地区少数民族的传统耕作制度和民族传统文化延续密切相关。     

云南栽培种及野生种芋头的AFLP指纹分析

目的:分析云南芋头种质资源遗传多样性。方法:应用扩增片段长度多态性(AFLP)指纹技术,用3对AFLP引物对采集自云南省的9份芋头栽培品种及1份野生品种进行研究,分离AFLP多态性条带。结果:共分离到60个AFLP多态性条带,AFLP多态位点百分率为96.77%,云南芋头种质资源在DNA分子水平上表现出丰富的遗传多样性。聚类分析将10份芋头品种分为2组,遗传距离为0.101～0.908。结论:AFLP指纹技术是筛选品种间差异基因的有效方法,研究结果为云南省芋头品种鉴定、遗传相关性分析、特殊功能基因的分离等工作提供了一定的理论基础。     

Assessment of genetic diversity of Korean native pig (Sus scrofa) using AFLP markers

In order to assess the genetic diversity and genetic relationships among the six commercial pig breeds including the Korean native pig, we performed an amplified fragment length polymorphism (AFLP) analysis. Applying the three EcoRI/TagI primer combinations to 54 individual pig samples out of six breeds, a total of 186 AFLP bands were generated, 67 (36%) of which were identified as polymorphic bands. From these polymorphic bands, the three estimates (percentage of polymorphic loci, Neis heterozygosity and Shannon index) of genetic diversity, G(ST) estimates, Neis unbiased genetic distance and two indices of genetic similarity were calculated. From all the calculations of genetic diversity, the lowest genetic diversity was exhibited in the Korean native pig, and the highest in the Chinese Yanbian pig. Given the mean G(ST) value (G(ST) = 0.390) across all pigs examined, levels of apparent breed subdivision were considerable. A UPGMA tree of individuals based on Jaccards similarity index showed that the Korean native pig formed a distinct cluster from the other five pigs. In addition, the tree displayed that all the individuals except for six individuals were grouped into their breeds. Principal component analysis based on the binary data matrix of either presence or absence confirmed the distinctness of the Korean native pig from the other pigs. Our results indicate that the Korean native pig has a low level of genetic diversity and is distinct from the five pig breeds, confirming the results from previous microsatellite data. The findings also suggest that AFLP analysis may be a valuable tool for revealing genetic relationships and genetic diversity among different pig breeds.     

Identification of Genetic Diversity Among Cultivars of <Emphasis Type="Italic">Phyllostachys violascens</Emphasis> Using ISSR,SRAP and AFLP Markers

Bamboo is one of the most important forest resources with a strong carbon fixation capability. To utilize genetic resource of Phyllostachys violascens, ISSR (inter-simple sequence repeat), SRAP (sequence-related amplified polymorphism), and AFLP (amplified fragment length polymorphism) techniques were used for the first time for the assessment of genetic diversity within its different cultivars. A total of 209 (136 polymorphic), 222 (152 polymorphic), and 434 (253 polymorphic) bands were detected using 15 ISSR primers, 15 primer combinations of SRAP, and 15 primer combinations of AFLP, respectively. The mean genetic similarity of Ph. violascens was 0.872, 0.867 or 0.871 for the ISSR, SRAP and AFLP analyses, respectively. Based on genetic diversity, all the cultivars of Ph. violascens could be divided into four groups, which are reflected by their morphologies. Our data demonstrated that all three methods are useful in the identification of genetic diversity in Ph.violascens, but AFLP is the most efficient.     

Comparative Assessment of SSR and AFLP Markers for Evaluation of Genetic Diversity and Conservation of Fig, <Emphasis Type="Italic">Ficus carica</Emphasis> L., Genetic Resources in Tunisia

This study characterises the genetic variability of fig, Ficus carica L., using simple sequence repeat (SSR) and amplified fragment length polymorphism (AFLP) markers. It compares the efficiency and utility of the two techniques in detecting variation and establishing genetic relationships among Tunisian fig cultivars. Our results show that using both marker systems, the Tunisian fig germ plasm is characterised by having a large genetic diversity at the deoxyribonucleic acid level, as most of AFLP bands were detected and all SSR markers were polymorphic. In fact, 351 (342 polymorphic) and 57 (57 polymorphic) bands were detected using AFLP and SSR primers, respectively. SSR markers were the most polymorphic with an average polymorphic information content value of 0.94, while AFLP markers showed the highest effective multiplex ratio (56.9) and marker index (45.2). The effective marker index was recorded highest (4.19) for AFLP markers and lowest (0.70) for the SSR ones. Our results demonstrate that (1) independent as well as combined analyses of cluster analyses of SSR and AFLP fragments showed that cultivars are clustered independently from their geographical origin, horticultural classifications and tree sex; (2) the analysis of molecular variance allowed the partitioning of genetic variation within and among fig groups and showed greater variation within groups and (3) AFLP and SSR markers datasets showed positive correlation. This study suggests the SSR and AFLP markers are suitable for diversity analysis and cultivars fingerprinting. An understanding of the genetic diversity and population structure of F. carica in Tunisia can also provide insight into the conservation and management of this species.     

中国普通小麦初选核心种质的产生

对中国普通小麦种质资源构建了初选核心种质。地方品种和选育品种分别构建。按栽培区(地理生态区)分组。地方品种按亚区分为28组,选育品种按大区分为10组。各组内在21个表型性状聚类的基础上,按平方根法取样,并依遗传多样性指数与遗传丰富度加以调整。提出在生产上或育种中起过重要作用的品种为必选材料。初步选定的材料经种植核对,淘汰错杂后,产生初选核心种质。地方品种全部供试材料11694份,初选核心种质3283份,取样比例为28．18％。选育品种全部11441份,初选核心种质1684份,取样比例为14．9％。计划经分子标记分析,最后核心种质的比例占全部种质的10％左右。根据全部材料21个性状遗传多样性指数测验,初选核心种质,除芒和壳两性状外,与全部种质的遗传差异均未达到显水平。讨论了初选核心种质的构建方法。指出陕南部西山地和汾渭谷地是中国小麦地方品种遗传变异多样性的富集地。育成品种多样性程度以西南冬麦区和黄淮冬麦区为最高。