甜瓜（Cucumis melo L.）AFLP标记的多态性及聚类分析研究

利用AFLP技术对30个甜瓜材料进行多态性和聚类分析研究。从120对MseI和PstI引物中筛选出25对扩增效果好的引物，共扩增出262条多态性带。聚类分析结果新疆甜瓜中的夏甜瓜类型，新疆甜瓜中的冬甜瓜类型、美国粗皮甜瓜类型、日本甜瓜类型、梨瓜类型各聚为一组。上述材料的聚类分析结果与依据生态类型和地理起源的分类结果基本吻合，表明AFLP用于甜瓜种内不同材料间的遗传变异性分析是可行的。     

甜瓜遗传多样性的AFLP分析

利用AFLP(Amplified fragment length polymorphism)分子标记技术对48份甜瓜(Cucumis meloL.)材料遗传多样性和亲缘关系进行了研究.从64对引物中筛选出了10对进行选择性扩增,共扩增出423条带,其中多态性条带172条,多态率为40.66%.聚类分析将供试材料分成了两大类群,即厚皮甜瓜类群和薄皮甜瓜类群,并进一步将厚皮甜瓜类群分成了4个亚类,与甜瓜传统分类结果基本一致.     

甜瓜种质资源遗传多样性的SRAP分析

为研究甜瓜材料之间的亲缘关系及其分类, 更有效地利用种质资源, 为培育新品种提供依据, 文章采用 SRAP (Sequence-related amplified polymorphism)技术对61份甜瓜种质资源的遗传多样性进行研究。结果表明: 从42对引物组合中筛选出16对扩增条带清晰、多态性高的引物组合分析供试材料, 共检测出452个位点, 其中265个为多态性位点, 多态性比率达58.63％, 平均每对引物组合产生28.56个位点和16.56个多态性位点。61份材料间的相似系数为0.48～0.93, 平均为0.73。这些结果说明, 供试甜瓜材料具有较为丰富的遗传多样性。聚类分析结果表明, 61个甜瓜品种中首先可分为薄皮甜瓜与厚皮甜瓜两大类, 彼此亲缘关系最远。以遗传相似系数0.74为截值, 可把供试材料分为5个类群。在生态区域中, 新疆厚皮甜瓜的Nei’s基因多样性指数(0.2231)和Shannon’s信息指数(0.3422)最高。     

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.     

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。     

26种冬青属植物遗传多样性分析

以26种冬青属植物种质资源为研究材料,利用RAPD和AFLP技术对基因组DNA进行扩增,以研究其物种间遗传多样性以及亲缘关系.结果表明:在RAPD分析中,从400条10个碱基的寡核苷酸引物中筛选出反应稳定、扩增性强、重复性好的引物20个,共扩增出312条多态性条带,多态率为95.41%;聚类分析显示26种冬青属植物间,布利奥特夫人枸骨叶冬青和黄果在AFLP分析中,10对选择性引物组合均扩增出了丰富的多态性片段,共扩增出350条谱带,其中336条具有多态性,占95.96%.综合RAPD和AFLP聚类结果,枸骨、无刺枸骨和日拉斯纳尔逊枸骨的亲缘关系较近,钝齿冬青、金宝石钝齿冬青和龟甲冬青三者的亲缘关系较近,可为冬青属植物的杂交育种与种质创新提供理论依据.     

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。     

SRAP标记技术在甜瓜品种亲缘关系和种子纯度鉴定上的应用

利用SRAP分子标记对12份甜瓜材料进行亲缘关系鉴定和F1代杂交种进行纯度检测。结果表明:从40对引物中筛选出13对多态性好的引物,共扩增出78条带,多态性带的比例为50%;聚类分析结果显示,12份甜瓜材料的相似系数在0.263～0.921之间,可将该12份甜瓜材料分为2大类,进一步细分为5类。利用引物Me15-Em7和Me3-Em16对‘红绿早脆’100S杂交种进行纯度检测,杂交种纯度为77%。研究为甜瓜品种间亲缘关系及种子纯度检测提供了可靠的理论依据。     

不同类型油菜EST-SSR标记的通用性及其应用研究

以10个甘蓝型油菜、11个芥菜型油菜和7个白菜型油菜品种为材料,选用已报道的14对白菜EST-SSR引物和8对油菜EST-SSR引物,探索其在3种类型油菜中的通用性,并利用筛选出的在3类油菜中有通用性和多态性的EST-SSR标记对供试油菜品种进行聚类分析.结果表明:(1)选用的14对白菜EST-SSR引物和8对油菜EST-SSR引物,在供试的3种类型油菜中都有扩增,完全可用.(2)在白菜型、甘蓝型和芥菜型油菜品种中扩增显示出多态性的引物数分别为18、16 和14对,其中有10对引物在3种类型油菜品种间扩增产物具有多态性.(3)利用这10对扩增多态性EST-SSR引物对供试油菜品种聚类分析,结果显示,在遗传相似系数为0.67时,3种类型油菜品种分别独自聚为一大类,表明开发和建立不同类型油菜间可通用的EST-SSR标记是可行且有应用价值的.     

新疆甜瓜地方种质资源遗传多样性的SRAP分析

为研究我国新疆甜瓜地方种质资源亲缘关系及其分类,充分高效的利用种质资源,利用SRAP(sequence-related amplified polymorphism technique)标记对117份中国新疆甜瓜地方品种和28份国内外对照材料进行亲缘关系和遗传多样性分析。结果表明,20对SRAP引物共扩增出224个带,其中多态性谱带216个,多态性比率达96%,平均每对引物扩增的带数和多态性带数分别为11.2个和10.8个,每对引物的多态性信息含量PIC值为0.73~0.94,平均为0.85;不同生态区域供试材料的Nei's基因多样性指数(H)和Shannon's信息指数(I)分别为0.1075~0.2560和0.1569~0.4061,中国新疆的南疆、东疆和北疆均高于其他生态区域供试材料,且以南疆最高,具有非常丰富的遗传多样性;不同生态区域甜瓜种质资源的遗传一致度和遗传距离分别为0.6384~0.9919和0.0081~0.4488,其中南疆、东疆和北疆两两之间的遗传一致度均在0.95以上,遗传距离均在0.04以下,三者之间遗传分化较小;中国新疆甜瓜与印度、西亚、西班牙的甜瓜种质资源亲缘关系较近,与韩国、日本、美国和前苏联的甜瓜种质资源亲缘关系较远。聚类分析结果表明,以遗传相似系数0.548为阈值,145份种质材料可分为3大类群;厚皮甜瓜与薄皮甜瓜间在分子水平上没有严格的界限,两者之间亲缘关系的远近在不同的种质材料间差异很大;117份中国新疆甜瓜地方种质资源可分为A(Ⅰ-1)、B(Ⅰ-2、Ⅰ-3、Ⅰ-5)、C(Ⅰ-6)、D(Ⅱ)等4大类6个亚类群,与传统4个变种10个品种群分类结果不同,但在每个大类或亚类群中属于同一变种或品种群的材料倾向于聚在一起。     

Evolution and genetic population structure of prickly lettuce (Lactuca serriola) and its RGC2 resistance gene cluster

Genetic structure and diversity of natural populations of prickly lettuce (Lactuca serriola) were studied using AFLP markers and then compared with the diversity of the RGC2 disease resistance gene cluster. Screening of 696 accessions from 41 populations using 319 AFLP markers showed that eastern Turkish and Armenian populations were the most diverse populations and might be located in the origin and center of diversity of L. serriola. Screening 709 accessions using the microsatellite MSATE6 that is located in the coding region of most RGC2 homologs detected 366 different haplotypes. Again, the eastern Turkish and Armenian populations had the highest diversities at the RGC2 cluster. The diversities at the RGC2 cluster in different populations were significantly correlated with their genomewide diversities. There was significant variation of copy number of RGC2 homologs in different populations, ranging from 12 to 22 copies per genome. The nucleotide diversities of two conserved lineages (type II) of RGC2 genes (K and L) were not correlated with diversities calculated using the MSATE6 or AFLP data. We hypothesize that the high genomewide diversity and diversity of the RGC2 cluster in eastern Turkish and Armenian populations resulted from high abiotic and biotic stresses in the regions of origin of L. serriola.     

Genetic analysis of Spanish melon (<Emphasis Type="Italic">Cucumis melo</Emphasis> L.) germplasm using a standardized molecular-marker array and geographically diverse reference accessions

Genetic relationships among 125 Spanish melon (Cucumis melo L.) accessions from a Spanish germplasm collection were assessed using a standard molecular-marker array consisting of 34 random amplified polymorphic DNA (RAPD) markers bands (19 primers) and 72 reference accessions drawn from previous studies. The reference accession array consisted of a broad range [Japanese (19) Crete (17), African (15), and USA and Europe (US/EU, 21)] of horticultural groupings (Group Cantalupensis, Group Conomon, Group Inodorus, Group Flexuosus, and Group Chito), and of melon market classes (e.g., Charentais, U.S. Western and European Shipper types, Ogen, and Galia, Honeydew, and Casaba). Spanish melon accessions (largely Casaba, Group Inodorus) were genetically distinct from the reference accessions and other Group Inodorus melons of different origins. Most African accessions showed common genetic affinities, and grouped with the Group Chito and the Group Conomon accessions examined. Those accession groupings were distinct from all other accessions belonging to Group Cantalupensis, Flexuosus, and Inodorus accessions originating from Crete, Japan, Europe, and the U.S. Genetic diversity was highest in accessions of African origin and lowest in accessions of Spanish origin. Additional RAPD markers (49 primers, 141 bands) and 22 selected agronomic traits (quantitative and qualitative) were then used to assess the genetic diversity among Spanish accessions. While cluster analysis using fruit characteristics grouped accessions into cultivars, RAPD-based genetic-distance estimate did not provide consistent accession groupings either by cultivar or geographic origin. While the highest level of polymorphism was detected among melons originating from the central region of Spain, and in the Rochet cultivar, accessions from the Andalucía region and Green cultivars were comparatively less diverse. These results indicate that the Spanish melon accessions could be used to broaden the genetic base of local and foreign Casaba germplasm, to enhance the genetic diversity of U.S and European commercial melon germplasm, and to delineate collection strategies for acquisition of additional Spanish landraces.Communicated by C. MöllersMention of trade name, proprietary product, or specific equipment does not constitute a guarantee or warranty by the USDA and does not imply its approval to the exclusion of other products that may be suitable.     

AFLP markers for the study of rice biodiversity

 AFLP was used as a DNA fingerprinting technique in rice (Oryza sativa L.) germplasm analysis. The high efficiency and random coverage of AFLP markers were established. With only five combinations of primers and RFLP anchors, a framework linkage map was constructed. This map demonstrated that the AFLP markers from a limited number of primers were not confined to any particular regions or chromosomes in the rice genome. To analyse the biodiversity of 57 rice germplasm accessions, we examined 179 polymorphic AFLP markers generated from four primer combinations. Both principal component analysis and cluster analysis were used, and three groups were clearly identified which corresponded to genotypes of Isozyme Groups I, II and VI. The number of markers needed for robust classification of rice germplasm and the diversity between/within the groups was established. Received: 15 July 1997 / Accepted: 29 October 1997     

Genetic diversity among Chinese Hami melon and its relationship with melon germplasm of diverse origins revealed by microsatellite markers

Thick-skinned melon called Hami melon is the most widely cultivated and exported type of melon in China, and mainly grown in Xinjiang province. Here the genetic variation of 64 melon genotypes including 43 Xinjiang Hami melon accessions was analyzed using 36 simple sequence repeat (SSR) markers yielding 145 alleles. The polymorphic information content of SSR markers ranged from 0.09 to 0.83 (average 0.45). Based on the SSR markers, the melon accessions were clustered into 2 major groups (thick and thin-skinned melons). In addition, the sub-cluster analysis based on SSR markers partitioned different botanical groups, even separating similar agronomic trait groups (Xinjiang landraces var. ameri and var. inodorus). SSR analysis showed that 4 SSR markers (CMBR150, CMCTT144, CMBR84 and CMBR12) produced polymorphic bands of different sizes between these two botanical groups. Those four molecular markers might be related to melon fruit maturing time. A considerably low level of genetic diversity was detected in Xinjiang melon accessions. Genetic distances indicated the relatively narrower genetic base but specific taxonomic status of Xinjiang landraces compared with foreign reference accessions.     

The origin of cultivated <Emphasis Type="Italic">Coffea arabica</Emphasis> L. varieties revealed by AFLP and SSR markers

Molecular markers were used to assess polymorphism between and within the genetic bases of coffee (i.e. Typica and Bourbon) spread from Yemen since the early 18th century that have given rise to most arabica cultivars grown world-wide. Eleven Coffea arabica accessions derived from the disseminated bases were evaluated by amplified fragment length polymorphism (AFLP) using 37 primer combinations and simple-sequence repeats (SSRs) produced by six microsatellites. Four cultivars growing in Yemen and 11 subspontaneous accessions collected in the primary centre of diversity of the species were included in the study in order to define their relationship with the accessions derived from the genetic bases of cultivars. One hundred and seven AFLP markers were used to calculate genetic distances and construct a dendrogram. The accessions derived from the disseminated bases were grouped separately, according to their genetic origin, and were distinguished from the subspontaneous accessions. The Yemen cultivars were classified with the Typica-derived accessions. Except for one AFLP marker, all AFLP and SSR markers present in the cultivated accessions were also detected in the subspontaneous accessions. Polymorphism among the subspontaneous accessions was much higher than among the cultivated accessions. It was very low within the genetic bases, confirming the historical documentation on their dissemination. The results enabled a discussion of the genetic diversity reductions that successively occurred during the dissemination of C. arabica from its primary centre of diversity.     

An assessment of the genetic diversity within Ganoderma strains with AFLP and ITS PCR-RFLP

Ganoderma lucidum is one of the most important medicinal materials and plant pathogens. Because of its specific interhybridization, the genetic background, however, is relatively unclear. It made identification of Ganoderma strains, especially closely related strains difficulty. Amplified fragment length polymorphism (AFLP) using 14 primer combinations and internal transcribed spacer (ITS) PCR-RFLP were used in a comparative study which was designed to investigate the closely related Ganoderma strains genetic relations at molecular level. The analysis of 37 Ganoderma strains showed there were 177 polymorphic AFLP markers and 12 ITS PCR-RFLP markers, and all accessions could be uniquely identified. Among the Ganoderma accessions, similarity coefficients ranged from 0.07692 to 0.99194 in AFLP. The Ganoderma strains formed a tight cluster in nine groups in AFLP whereas seven groups in ITS PCR-RFLP. The cluster analysis revealed that the taxonomical system of subgenus Ganoderma is composed of Sect. Ganoderma and Sect. Phaeonema, and the strain 22 should be a variant form of strain 21. All methods delineated the Ganoderma strains from the different regions seeming to show a greater level of genetic diversity. It indicated that the genotype study at molecular level is a useful complement method to the current classification system of Ganoderma strains based on morphological traits. The congruency of the experiments was analyzed using the biostatistical software DPS V3.01.     

A set of EST-SNPs for map saturation and cultivar identification in melon

Background

There are few genomic tools available in melon (Cucumis melo L.), a member of the Cucurbitaceae, despite its importance as a crop. Among these tools, genetic maps have been constructed mainly using marker types such as simple sequence repeats (SSR), restriction fragment length polymorphisms (RFLP) and amplified fragment length polymorphisms (AFLP) in different mapping populations. There is a growing need for saturating the genetic map with single nucleotide polymorphisms (SNP), more amenable for high throughput analysis, especially if these markers are located in gene coding regions, to provide functional markers. Expressed sequence tags (ESTs) from melon are available in public databases, and resequencing ESTs or validating SNPs detected in silico are excellent ways to discover SNPs.

Results

EST-based SNPs were discovered after resequencing ESTs between the parental lines of the PI 161375 (SC) × 'Piel de sapo' (PS) genetic map or using in silico SNP information from EST databases. In total 200 EST-based SNPs were mapped in the melon genetic map using a bin-mapping strategy, increasing the map density to 2.35 cM/marker. A subset of 45 SNPs was used to study variation in a panel of 48 melon accessions covering a wide range of the genetic diversity of the species. SNP analysis correctly reflected the genetic relationships compared with other marker systems, being able to distinguish all the accessions and cultivars.

Conclusion

This is the first example of a genetic map in a cucurbit species that includes a major set of SNP markers discovered using ESTs. The PI 161375 × 'Piel de sapo' melon genetic map has around 700 markers, of which more than 500 are gene-based markers (SNP, RFLP and SSR). This genetic map will be a central tool for the construction of the melon physical map, the step prior to sequencing the complete genome. Using the set of SNP markers, it was possible to define the genetic relationships within a collection of forty-eight melon accessions as efficiently as with SSR markers, and these markers may also be useful for cultivar identification in Occidental melon varieties.     

Molecular genecology of temperature response in Lolium perenne: 2. association of AFLP markers with ecogeography

Improved winter hardiness is an important breeding objective in the forage grass Lolium perenne. This is a complex trait with several components, including the ability to survive and grow at low temperature, to acclimate to cold, tolerate wind, snow cover and ice encasement. Marker-assisted selection has the potential to increase the efficiency of breeding for improved cold tolerance. Here we describe a genecological approach to identifying molecular markers that are associated with adaptation to low winter temperatures. AFLP was used to assess the genetic diversity in 29 wild populations of ryegrass (Lolium perenne) representing a pan-European temperature cline in terms of their geographical origin. A further 18 populations from a temperature cline in Bulgaria were also analysed. In addition, two varieties and five populations representing parents of mapping families currently in use at IGER were included in the analysis. Principal coordinate (PCoA) and cluster analyses of the molecular marker data showed that the Bulgarian altitude cline populations could be distinguished clearly from the other populations. Two regression analyses were carried out; one to identify AFLP markers that correlated in frequency with low mean January temperature of the geographical origin of the population, and another to identify AFLP markers correlating in frequency with the cold tolerance phenotype of the populations, as determined by LT50 values in freezing tests. In the first analysis six AFLP markers showed significant type II trends with mean January temperature, and in the second analysis 28 bands had a significant univariate relationship with the LT50 value of the accessions. In steps 2 and 3 of the stepwise analysis a further 4 and 5 bands, respectively, improved the fit significantly. The results of the two types of regression analysis are discussed in relation to ecogeography and cold tolerance phenotype of the populations.     

Assessment of genetic diversity among and within Achillea species using amplified fragment length polymorphism (AFLP)

Amplified fragment length polymorphism (AFLP) markers were used to assess the genetic diversity of 57 Achillea accessions belonging to five species, A. millefolium, A. filipendulina, A. tenuifolia, A. santolina and A. biebersteinii. Nine AFLP primer combinations were used, which produced 301 polymorphic bands. In most species, a high level of genetic variation was detected among the genotypes. The Jaccard's similarity indices (J), based on AFLP profiles, were subjected to UPGMA cluster analysis. Application of Mantel's test for cophenetic correlation to the cluster analysis indicated the high fitness of the accessions to a group (r = 0.918). The dendrogram generated revealed five major groups corresponding to five species. The principle coordinate analysis (PCoA) data confirmed the results of the clustering. Among the species, A. teunifolia and A. santolina showed the greatest and the least genetic diversity, respectively. A. filipendulina accessions were acquired primarily from the same ecological regions of western Iran. Accessions belonging to A. biebersteinii originated from the Isfahan province and were separated from other species at the root of the dendrogram. The results of the clustering method, based on AFLP markers, corresponded closely with the geographical origins of the genotypes. The results of the present study could contribute to a better understanding and management of conservation and exploitation of the Achillea germplasm.