DNA profiling of pineapple cultivars in Japan discriminated by SSR markers

We developed 18 polymorphic simple sequence repeat (SSR) markers in pineapple (Ananas comosus) by using genomic libraries enriched for GA and CA motifs. The markers were used to genotype 31 pineapple accessions, including seven cultivars and 11 breeding lines from Okinawa Prefecture, 12 foreign accessions and one from a related species. These SSR loci were highly polymorphic: the 31 accessions contained three to seven alleles per locus, with an average of 4.1. The values of expected heterozygosity ranged from 0.09 to 0.76, with an average of 0.52. All 31 accessions could be successfully differentiated by the 18 SSR markers, with the exception of ‘N67-10’ and ‘Hawaiian Smooth Cayenne’. A single combination of three markers TsuAC004, TsuAC010 and TsuAC041, was enough to distinguish all accessions with one exception. A phenogram based on the SSR genotypes did not show any distinct groups, but it suggested that pineapples bred in Japan are genetically diversed. We reconfirmed the parentage of 14 pineapple accessions by comparing the SSR alleles at 17 SSR loci in each accession and its reported parents. The obtained information will contribute substantially to protecting plant breeders’ rights.     

利用SSR标记分析栽培种花生多态性及亲缘关系

利用11对SSR引物对24个花生栽培品种（包括四大类型）进行PCR扩增分析，其中4对检测到明显的多态性，共检测到33个等位基因变异，每一个位点上检测到的等位变异数为5～13个，平均为8.25个。根据扩增结果可以将24个品种中的21个相互区分。供试品种间的遗传相似系数值在0.2～1.0之间，平均为0.4788。根据UPGMA聚类分析结果,供试     

Development and variability analysis of microsatellite markers in peach

A genomic DNA library enriched with AG/CT repeats has been developed from the peach cultivar ‘Merrill O'Henry’. The enrichment method was efficient, with 61% of the clones obtained carrying a microsatellite sequence and a yield of one polymorphic microsatellite every 2.17 sequenced clones. From 35 microsatellites detected, 24 were polymorphic in a set of 25 cultivars including 14 peaches and 11 nectarines. A total of 82 alleles were found with the polymorphic microsatellites, with an average of a 37% of observed heterozygosity. Microsatellites with a high number of repeats were generally those having the largest number of alleles. All cultivars except two (‘Spring Lady’ and ‘Queencrest’) could be individually distinguished with the markers used. Just three selected microsatellites were enough for the discrimination of 24 out of the 25 possible genotypes. Cluster analysis grouped all nectarines in a single cluster. Peaches, with 75 of the 82 alleles found, were more variable than nectarines, with only 64. Microsatellites appear to be powerful and suitable markers for application in peach genetics and breeding.     

Simple sequence repeats for genetic analysis in pear

The development of highly informative DNA markers, such as simple sequence repeats (SSRs), is essential for breeding to select agronomically important traits and for genetic studies in pear. We developed SSR markers by using two approaches, RAHM (random amplified hybridization microsatellites) and 5' anchored PCR methods. Segregation analysis of the SSRs revealed that amplified fragments were derived from the same loci, using 3 sets of progenies from crosses between pear varieties. Genetic diversity was characterized using 32 varieties, including 10 from Japanese pear (Pyrus pyrifolia), 9 from Chinese pear (P. bretschneideri, P. ussuriensis), 10 from European pear (P. communis) as well as 3 wild relatives (P. calleryana). Diversity of SSR genotypes was observed among species as well as within species and 65 putative alleles were detected. The use of seven SSR markers was sufficient to differentiate between all of the 32 varieties. This revised version was published online in August 2006 with corrections to the Cover Date.     

Genetic diversity in soybean as determined by RAPD and microsatellite analysis

The random amplified polymorphic DNA (RAPD) and microsatellite techniques were used to evaluate the genetic diversity among 18 soybean genotypes selected for a breeding programme to increase the protein content of varieties adapted for central European growing conditions. Out of 33 random primers used in RAPD reactions, only 12 showed polymorphism useful for characterization of these genotypes. In contrast, all 12 microsatellite primer pairs used in this study detected polymorphism with 2–6 alleles per locus. Similarity measures and cluster analysis were made using RAPD and simple sequence repeat (SSR) data, separately and together. The resulting dendrograms were compared with each other and with the available pedigree information as a control. The dendrogram derived from RAPD data showed some divergence from the pedigree information available for the lines. The dendrograms based on SSR data and SSR data combined with RAPD gave very good agreement with pedigree information. It can be concluded that the combined use of a limited number of RAPD and SSR markers is a useful and reliable means of evaluating genetic relationships of genotypes in the absence of pedigree data.     

Occurrence of microsatellites in spinach sequences from computer databases and development of polymorphic SSR markers

Microsatellites are valuable tools as molecular markers in plant breeding. To establish genetic linkage maps or for population studies, information about the occurrence and usability of microsatellite markers in different species is necessary. Sequences of spinach Spinacia oleracea from computer databases were therefore searched for the presence of microsatellites. Sixty simple sequence repeats were found in 237 spinach sequences with a total of 349.4 kb DNA. After removing duplicated sequences, 50 different microsatellites with various motifs remained. Differences between nuclear and chloroplast DNA were not in the number of microsatellites but in their type and length. Chloroplast sequences from spinach contain only short strings of A and AT repeats, whereas nuclear sequences show a wider variety of motifs. Flanking primers for polymerase chain reaction (PCR) analysis were designed for 13 of these microsatellites and tested with two different varieties of spinach. Twelve primer pairs gave amplification products and seven of these showed polymorphisms in the variety ‘Wiremona’ but only one in the variety ‘Monatol’. These markers may be used for linkage analysis or population studies in spinach.     

The genetic diversity of old and modern Siberian varieties of common spring wheat as determined by microsatellite markers

The objective of this study was to assess genetic diversity within old and modern common spring wheat (Triticum aestivumL.) varieties cultivated in Siberia and to find out whether old Siberian varieties could be a potential source for genetic diversity in modern wheat breeding in Siberia. A set of 54 varieties was analysed using 22 wheat microsatellite markers (WMS), determining 23 loci located on 19 different chromosomes. In total, 151 alleles were detected with an average of 6.6, ranging from three to 11 alleles per locus. The average genetic diversity value (polymorphic information content) was 0.70. WMS located in the B genome produced more alleles per locus (7.6) compared with WMS located in the A (6.0) and D (6.0) genomes. Genetic similarity values between varieties ranged from 0.19 to 0.96 and were used to produce a dendrogram. With a few exceptions the varieties studied were clustered in two nearly equal groups consisting of predominantly old (released before 1960) and modern (released in 1960‐90s) varieties, respectively. Genetic diversity values within these two groups were similar with 0.60 and 0.58, respectively. The numbers of group‐specific alleles were 34 and 29, respectively. A significant variation in frequencies of 79 shared alleles was observed. The results obtained by using genomic microsatellite sequences demonstrated that breeding has not resulted in a decrease in the genetic diversity in Siberian spring wheat. However, significant quantitative and qualitative changes in allelic frequencies of different loci were detected. It may be suggested, that old Siberian common spring wheat varieties are a potential basis for genetic diversity in modern wheat breeding in Siberia.     

Development of a molecular CAPS marker for the self-incompatibility locus in Brassica napus and identification of different S alleles

Using primers annealing to S locus sequences the cleaved amplified polymorphic sequences (CAPS) method was applied to develop a marker and to characterize different alleles at the self‐incompatibility locus in Brassica napus. A segregating F₂ population from a cross of a self‐incompatible (SI) and a self‐compatible parent, as well as seven SI lines representing four different S alleles were used. Several primers specific to the S locus in B. oleracea and B. campestris, chosen from the literature, allow polymerase chain reaction (PCR) amplification of genomic DNA. However, only one primer pair amplified a single specific and reproducible PCR fragment of the expected length in B. napus. Digestion with restriction endonucleases revealed polymorphisms for two CAPS markers absolutely linked to the S locus. Using the codominant marker efMboI it was possible to discriminate all three F₂ genotypes. With this marker and an additional marker using another primer pair it was possible to distinguish between three of the four different S alleles and five of the seven SI lines, respectively.     

Potential application of simple easy-to-use insertion-deletion (InDel) markers in citrus cultivar identification

We previously developed insertion-deletion (InDel) markers that distinguish three genotypes (two homozygous and one heterozygous) of diverse citrus cultivars. These InDel markers were codominant and could be clearly detected by using simple agarose gel electrophoresis. We sought to establish a method for cultivar identification using these 28 InDel markers to genotype 31 citrus cultivars. The results revealed that a minimum of 6 markers were required to identify individuals using the three-genotype classification method. Furthermore, we found that a simple method for distinguishing between two genotypes (homozygous and heterozygous) could be used to identify individuals using a minimum of 7 markers. Our findings provide a basis for the development of simple and rapid citrus cultivar identification methods.     

Identification of cultivars and accessions of Lolium, Festuca and Festulolium hybrids through the detection of simple sequence repeat polymorphism

Molecular diversity and genetic affinity in the Lolium/Festuca grass complex have been assessed using simple sequence repeat (SSR) marker technology. The genotypic set was derived from three accessions of perennial ryegrass, two cultivars of Italian ryegrass, two cultivars of meadow fescue, two cultivars of tall fescue and 10 accessions from different intergeneric hybrid (Festulolium) combinations. The majority of the genomic DNA‐derived SSR primer pairs from perennial ryegrass (LPSSR) and Italian ryegrass (LMSSR) produced clear, simple and distinctive amplification products from the majority of the genotypes. The efficiency of cross‐specific amplification for LPSSR markers varied from 38% in meadow fescue to 93% in two cultivars of Festulolium and from 57% in meadow fescue to 87% in Italian ryegrass for LMSSR markers. Of 40 amplified markers, 14 (35%) produced species‐difference alleles in the relation to cultivars used in the present study. Thirty‐five LPSSR locus‐derived alleles were found to be specific to Lolium species, four to meadow fescue and six to tall fescue. For LMSSR alleles, eight were specific to Lolium species and five were only associated with Italian ryegrass, and null alleles were detected for meadow fescue in all instances. These species‐difference markers could clearly identify different accessions of Festulolium. Cluster analysis separated the individual taxa and showed grouping of intergeneric hybrids based on genomic composition. The data distinguished between the species and reflected the known pedigree of the cultivars and the differences between the species. The dendrogram also distinguished between the Festulolium accessions and clearly demonstrated the relations between Festulolium hybrids and their parent species.     

优良品系中品03-5373系谱的遗传解析及抗大豆胞囊线虫病相关标记鉴定

中品03-5373是高抗大豆胞囊线虫(soybean cyst nematode,SCN) 3号生理小种的优良大豆新种质,可追溯到10个祖先亲本,其中包括灰皮支黑豆、Peking和PI437654等国内外SCN主要抗源。本研究利用152个SSR标记对中品03-5373及其亲本进行鉴定,共发现等位变异437个,每个标记的等位变异范围为2~5个,平均为2.9个。亲缘关系分析表明11份材料间的遗传一致度变化范围为0.2430~0.8224,平均为0.458,4个SSR标记(Satt152、Satt179、Barcsoyssr_18_107和Satt196)形成的单倍型可以将11份材料区别开来。系谱追踪阐明了育种对基因组组成变化的作用,发现中品03-5373亲本中以灰皮支黑豆贡献的等位变异最多(39个),PI437654次之(6个)。通过系谱追踪筛选到与SCN 3抗性相关的候选标记20个,为进一步克隆抗病基因和选择有效的标记组合进行分子育种提供了依据。     

Application of SSR markers and real-time PCR for variety identification in azuki-bean [Vigna angularis (Willd.) Ohwi and Ohashi]

The azuki bean in Korea consists of seven domestic varieties which have been developed and registered for the public during last 25 years. Here, we present a simple but reliable method to screen and identify Korean azuki bean varieties. A method based on simple sequence repeat (SSR) markers is widely used for prominent gene identification and variety discrimination. In molecular biology, real-time polymerase chain reaction (PCR) is a laboratory technique based on the polymerase chain reaction that is used to amplify and simultaneously quantify a targeted DNA molecule. It enables easy detection of a specific sequence in a DNA sample without performing electrophoresis and further processes. For separation of seven Korean azuki bean varieties, 110 unique azuki bean SSR markers from an (AG)n-enriched library were selected, synthesized and used for polymerase chain reaction (PCR). Data were taken through acrylamide gel electrophoresis and automated multi-capillary electrophoresis system for selection of specific markers and then changed into proper formats for data mining analysis. Ten primer pairs that showed high polymorphism were chosen for the indepth study. These ten primers were re-amplified with real-time PCR and checked the cycle threshold (Ct) and temperature (Tm) for comparison of amplification sequence in seven varieties. Consequently, a total of 20 alleles and 6 SSR primers were detected from the standard PCR amplification. Within these 6 primers, 7 alleles of 3 SSR primers were isolated for variety identification. From real-time PCR results, 3 SSR primers were selected as efficient markers for discrimination of seven Korean azuki bean varieties. The approach described here could be applied in monitoring our varieties and can be adapted in the azuki bean breeding program.     

Genetic diversity of resistance genes controlling fusarium head blight with simple sequence repeat markers in thirty-six wheat accessions from east asian origin

Summary Fusarium head blight (FHB) is a serious disease of wheat worldwide that may cause substantial yield and quality losses. Breeding for FHB-resistant cultivars is the most cost-effective approach to control FHB. The objective of the present study was to determine the relationship of resistance between new resistant sources and Sumai 3 using five simple sequence repeat (SSR) markers closely linked to the major QTL for FHB resistance on chromosome arms 3BS and 6BS. All five SSR markers were highly polymorphic between Sumai 3 (and its derivatives) and susceptible Canadian wheat lines. Most of the Sumai 3-derived Chinese wheat accessions and three Canadian FHB-resistant lines had all the Sumai 3 SSR marker alleles on chromosome arms 3BS and 6BS. The Chinese landrace Wangshuibai and two Japanese accessions Nobeokabozu and Nyu Bai had the same banding patterns as Sumai 3 for all five SSR marker alleles, and another Chinese landrace Fangshanmai had three of the five SSR markers in common with Sumai 3, and therefore most likely carries the same QTL as Sumai 3 on 3BS and 6BS. The Brazilian cultivar Frontana had no alleles in common with Sumai 3 on either QTL, and the Chinese landrace Hongheshang had only one of the five SSR markers in common with Sumai 3, therefore likely carrying resistance genes different from Sumai 3. The Italian cultivar Funo is not the donor of either the 3BS QTL or 6BS QTL. All five SSR seem to be effective candidates for marker-assisted selection to increase the level of resistance to FHB in wheat breeding programs.     

基于大豆胞囊线虫抗病候选基因rhg1的InDe1标记发掘与鉴定

大豆胞囊线虫病是严重危害大豆生产的重要病害之一,根据抗病候选基因发掘标记可以为分子标记辅助选择抗病材料提供标记资源。本研究通过对大豆胞囊线虫抗病候选基因rhg1的序列比对分析,发现4个插入/删除位点,针对其中3个多碱基插入/缺失位点开发了InDel标记。应用开发的3个InDel标记对33份栽培大豆进行基因型鉴定,共检测到等位变异11个,平均每个位点3.67个。其中rhg1-I1位点有等位变异5个,rhg1-I2位点有等位变异2个;rhg1-I4位点有等位变异4个。各等位变异发生频率范围为0.8%~77.3%。InDel标记与大豆胞囊线虫抗性间的关联分析表明,rhg1-I4为抗性相关标记,对抗病资源的检出效率为88.2%,对感病资源的检出效率为100%。该标记的288 bp等位变异和294 bp等位变异为抗病相关等位变异,269 bp等位变异和272 bp等位变异为感病相关等位变异。此标记与常用于标记辅助选择的Satt309配合鉴定可以提高SCN抗病资源的检测效率。     

Genetic diversity in red clover (Trifolium pratense L.) revealed by morphological and microsatellite (SSR) markers

The NPGS-USDA core collection with 85 accessions of red clover, an important forage species, is little described. The goal of the present study was to evaluate the diversity of a set of accessions from the core collection at the morphological and molecular level in order to extract some valuable accessions for Brazilian red clover breeding programs. Twenty-one morphological traits, collected in field and greenhouse in South Brazil, and seven SSR markers were used to describe 57 accessions from the U.S. core collection and one population cultivated in Southern Brazil. Variation between accessions was large for most of the 21 morphological traits. A cluster analysis based on the morphological traits revealed five distinct clusters that separated the populations according to flowering earliness, as already described, but also according to persistency, growth habit and dry matter productivity. Over seven SSR loci, the number of alleles averaged 11.1 alleles per locus. Genetic diversity measured with SSR markers was high, with a mean expected heterozygosity of 0.86. An analysis of molecular variance revealed that the largest proportion of variation (83.6%) resided at the within population level. Although the molecular markers also separated accessions into five clusters, there was no coincidence between the composition of groups found with morphological and molecular data. Use of genetic diversity in breeding programs requires to use the most promising populations, to combine positive traits such as persistency and forage yield, and probably to use within population variation to detect valuable genotypes that could be used as parents of synthetic varieties.     

Genetic diversity and population structure of Indian soybean [<Emphasis Type="Italic">Glycine max</Emphasis> (L.) Merr.] revealed by simple sequence repeat markers

Genetic diversity in 90 Indian soybean cultivars was assessed using 45 SSR markers distributed on 20 soybean chromosomes. Forty-five SSR markers generated 232 alleles with an average of five alleles/locus. The observed frequencies of the 232 alleles ranged from 0.01 to 0.94 with an average of 0.19. The polymorphic information content (PIC) value of the SSR markers varied from 0.10 to 0.83 with an average of 0.61 and about 71% markers have a PIC value of >0.5. In this study, 54 rare alleles including 19 genotype specific alleles were also identified. The observed hetrozygosity for SSR markers ranged from 0 to 0.11 with a mean of 0.10. Cluster analysis grouped the 90 soybean cultivars into three major clusters and principal coordinates analysis (PCoA) results were similar to those of the cluster analysis. A combination of eight SSR markers successfully differentiated all 90 soybean cultivars. The population structure analysis distributed the 90 soybean genotypes into two populations with mean alpha (α) value of 0.1873. In AMOVA analysis, proportion of variation within population was high (88%), whereas only 12% occurred among populations. In cluster and structure analyses, most of the genotypes with similar pedigree were grouped together. Soybean cultivars DS228, MACS-13, LSb-1, Hardee, Improved Pelican, and Pusa-24 were the six most genetically distinct cultivars identified. The study reported a moderate genetic diversity in Indian soybean cultivars and findings would be useful to the soybean breeders in selecting genetically distinct parents for a soybean improvement program.     

贵州省甘蔗审定品种及区试材料的SSR-CE/FD分析

旨在保护贵州育种单位知识产权,指导当地甘蔗杂交育种亲本组合的制定。采用SSR标记和毛细管电泳/荧光检测技术相结合(SSR-CE/FD)的技术,对12个贵州甘蔗材料进行基因型分析,利用NTsys软件进行数据处理。21对多态性高的SSR引物共获得131条扩增带,多态性条带比例为90.1%,平均每对引物产生6.2个条带。其中11个条带为7个品种(系)中某一品种(系)的特征条带;利用这些特征条带可以迅速将该7个品种(系)的中某一品种(系)与其他材料区分开。引物SMC31CUQ多态性条带比例为100%,且可以将12个甘蔗材料完全区分开,是分辨率最高的引物。UPGMA聚类分析表明12个甘蔗无性系间的遗传相似系数变异范围为0.64~0.92。本研究成功构建了贵州3个审定品种和9个区试材料基于131个SSR条带的指纹图谱,12个甘蔗无性系之间遗传基础较为狭窄,育种工作中应选用遗传背景差异大的甘蔗亲本,从而拓宽贵州甘蔗品种(系)的遗传基础。     

Genetic diversity in groundnut (<Emphasis Type="Italic">Arachis hypogaea</Emphasis> L.) genotypes and detection of marker trait associations for plant habit and seed size using genomic and genic SSRs

Groundnut (Arachis hypogaea L.) an important oilseed crop in India is known to have narrow genetic base. Therefore, the assessment of genetic diversity and detection of marker-trait association are important objectives for the genetic improvement of groundnut. The present study involved the development of 192 SSR markers from Arachis genomic survey sequences. From these, seven polymorphic SSRs along with 15 other genomic SSRs, 19 genic SSRs, and three STS markers were used to detect genetic diversity among 44 groundnut genotypes. These polymorphic SSR markers amplified 155 bands (76 genomic and 79 genic), of these 128 bands (67 genomic and 61 genic) were polymorphic. The genomic SSR exhibited 88.1% and genic SSRs displayed 77.2% allelic polymorphism. The polymorphic information content (PIC) of the markers ranged from 0.04 to 0.95. The pair-wise genetic similarity ranged from 24.2 to 90.7% for genomic SSR and 32.9 to 97.9% for genic SSR markers. Cluster analysis based on the pooled data from both genomic and genic SSRs revealed a dendrogram which could distinguish all the genotypes. Further, the AMOVA analysis detected 16.7% genetic variation due to differences in seed size and 13.0% due to plant habit. Based on locus-by-locus AMOVA and Kruskal-Wallis ANOVA and further confirmation by discriminant analysis and general linear model, six markers were found to be associated with plant habit and four markers with seed size.     

云南哈尼梯田红米地方品种遗传多样性分析

云南元阳哈尼梯田有丰富的水稻品种,特别是红米资源。本研究利用均匀分布于水稻基因组的100对简单序列重复（SSR）标记分析元阳哈尼梯田60份红米地方品种遗传多样性。100对SSR引物共扩增条带477个,平均每对引物扩增4.770个条带;有效等位基因数（Ne）从1.035~6.000,平均为2.518;香农多样性指数（I）为0.086~1.912,平均为1.016;多态性信息含量（PIC）范围为0.064~0.838,平均为0.519;基因杂合度（H）从0到0.950,平均为0.167;聚类分析可将60个红米品种分为两大类,第一类为籼稻亚种,包括57个水稻品种,第二类只有3个品种,为粳稻亚种。研究表明云南哈尼梯田水稻红米品种具有丰富的遗传多样性。