应用SRAP标记绘制88份南瓜属种质资源DNA指纹图谱

为了给南瓜属种质资源鉴定和分类提供分子生物学依据,本研究采用SRAP分子标记技术与DNAMAN指纹图谱绘制软件对88份南瓜属种质资源(包含美洲南瓜、中国南瓜、印度南瓜)进行分子指纹图谱绘制。结果表明:35对SRAP多态性引物共扩增出499条清晰条带,其中多态性条带438条,多态性条带比率高达87.8%。根据扩增出的条带成功绘制出88份南瓜属种质资源的DNA指纹图谱,每一份种质都具有其独特的分子身份证,使得每份种质均可被区别开来。其中,多态性最好的引物是E5EM8,可以同时绘制72份南瓜属种质资源的指纹图谱。所有供试材料用5对多态性SRAP引物即可全部区别开来。研究表明,SRAP分子标记技术可成功地绘制南瓜属种质资源DNA指纹图谱。本研究对南瓜属种质资源鉴别、分子数据库构建及品种权保护具有较重要的意义。     

TP-M13-SSR技术及其在苹果种质资源遗传多样性研究中的应用

利用在SSR扩增产物检测过程中的一种基于荧光测序技术的高通量低成本分析技术体系TP-M13-SSR,对苹果种质资源的25份地方品种进行了遗传多样性研究,得到其遗传多样性、多态性信息含量和位点杂合度的变化范围分别为0.5032～0.8448、0.3952～0.8268和0.4400～0.9600。UPGMA法聚类分析将25个苹果品种分为2大类,与地理起源和亲缘关系相关。这种方法具有经济、灵敏、高效等优点,在苹果遗传多样性研究中得到成功应用。本文讨论了TP-M13-SSR技术的优缺点,以及在果树种质资源遗传多样性研究中的应用潜力。     

基于SSR标记的黔南茶树种质资源DNA指纹图谱构建

以黔南60个野生茶树种质资源为材料,使用15对引物,通过SSR技术进行了DNA指纹数据库的构建。结果显示,所采用的15对引物共扩增出147个等位基因,有较好的多态性。位点的期望杂合度和多态性信息含量的变化范围分别为0.128~0.939和0.124~0.927,平均值分别为0.602和0.572。综合各项指标筛选出6对引物QNSSR01、QNSSR02、QNSSR04、QNSSR06、QNSSR18、QNSSR23上的23个等位基因用于黔南茶树种质资源DNA指纹图谱构建,60个茶树种质资源的SSR指纹图谱互不相同,可以作为各材料特定的图谱。研究结果为黔南茶树种质资源保护和品种创新利用奠定了基础。     

利用SSR标记构建萝卜种质资源分子身份证

为了保护我国特有的优异萝卜资源,促进资源的有效区分和合理利用,保障我国萝卜产业发展,目前需积极开展萝卜种质资源的特异性鉴定和种质识别技术研究。本研究基于SSR分子标记、信息处理和图像处理技术,筛选出22对SSR引物对75份来源和特征不同的代表性萝卜种质进行鉴定,共扩增出153条带,其中多态性条带为87条,平均多态性位点百分率为55.49%,平均每对引物可扩增出6.95条带和3.95条多态性带,有效地显示出每份萝卜种质的特异性。基于最少引物鉴定最多种质的原则,利用MATLAB程序筛选出8对SSR引物,依据8对引物的扩增数据,经过多态性谱带的有序编码转换,构建出75份萝卜种质分子身份证。结果显示利用SSR标记构建萝卜种质分子身份证进行种质资源的鉴定和保护是可行的。     

基于SSR标记的彩色马铃薯亲缘关系分析及指纹图谱构建

为了探究彩色马铃薯种质资源的遗传背景,该试验共选用22对SSR标记引物,对33份彩色马铃薯品种(系)进行遗传多样性分析以及指纹图谱构建。结果表明:(1)22对引物可扩增得到95个等位位点,其中82个为多态性位点,多态性比率达到86.31%;多态信息量(PIC)从0.168 7(STM1053)到0.991 9(STI033),平均为0.8411。(2)UPGMA聚类分析表明,在相似系数0.71处,33份供试材料分为4个主要聚类群,不同聚类群之间具有较大的遗传差异。(3)利用STM0031、STM0030、STI014、STM1029、STI001共5对SSR标记引物构建了33份彩色马铃薯材料的分子标记指纹图谱。该研究结果为彩色马铃薯育种亲本组配奠定了理论基础,有助于彩色马铃薯种质资源的快速鉴定。     

应用SRAP标记构建山药种质资源DNA指纹图谱

利用30对多态性良好的SRAP引物对90份山药种质资源进行PCR扩增,构建扩增图谱,共扩增到722个位点,多态性位点581个,多态性比例为80.47%,每对引物组合检测多态性位点3~30个,每对引物能鉴别6~51份山药种质资源;采用DNA数据分析软件对扩增出的多态性位点进行分析,构建山药种质资源方框指纹图谱,该图谱清晰地反映出每对引物能扩增的多态位点数、鉴别资源份数及资源具体编号,资源在该引物组合下所能检测得到的多态位点数及所处的具体位置等信息;从10对SRAP引物组合中挑选出的21个多态性位点,根据谱带的有无转化成的1/0字符串编码,形成山药种质资源DNA数字指纹图谱,该图谱可鉴别区分90份山药种质资源中的82份资源。同时这些指纹图谱可为下一步的山药品种鉴定,种质资源评价、利用,分子标记辅助育种及品种权保护提供技术支撑。     

基于SSR标记的132份甘薯种质指纹图谱的构建及遗传多样性分析

利用SSR分子标记技术,构建132份甘薯种质的DNA指纹图谱,并进行遗传多样性分析,旨在为甘薯种质资源亲缘关系鉴定、分类提供理论依据。利用筛选的核心引物进行PCR扩增,通过聚丙烯酰胺凝胶电泳检测显示,19对引物共扩增出232个条带,其中多态性条带165条,多态性比率为71.1%,平均每对引物扩增出8.68个条带,多态性信息含量变化范围在0.6706~0.9331之间,平均为0.8158;其中引物SSR9和引物C33可将132份种质完全区分开,并构建供试材料的DNA指纹图谱,供试材料遗传距离在0.0363~0.5939之间,平均为0.4087,表明种质资源间遗传多样性丰富。基于SSR标记对供试材料进行聚类分析,将供试材料分为2个类群,第Ⅰ类群分为两个亚类,第Ⅰ-1亚类包括济薯25和3份日本引进品种日本金千贯、安納芋、日本薯;第Ⅰ-2亚类包括济徐薯23、苏丹、济薯09281。第Ⅱ类群分为两个亚类,第Ⅱ-1亚类由S07甘薯品系和与其亲缘关系较近的20份甘薯种质组成;第Ⅱ-2亚类由剩余的70份甘薯种质组成,为甘薯分子辅助育种中亲本的选择提供理论依据。     

加工番茄种质资源的SSR分析

为探明加工番茄种质资源间的亲缘关系,利用SSR标记对20份加工番茄品种及育种材料进行了多样性分析。结果表明:从49对SSR引物中筛选出12对扩增稳定、条带清晰且多态性丰富的引物进行分析,共获得43个位点,多态性位点为37个,多态位点比率86%;供试材料间的遗传相似系数介于0.419~1.000之间,说明加工番茄种质资源间存在一定的遗传差异;通过UPGMA法聚类分析,将20份材料分为3大类群,其中亲缘关系较远的不同类群间及亚类间的种质资源可作为杂交育种的亲本。     

基于棉花参比种质的SSR多态性核心引物筛选

棉花品种间遗传多样性的评价和遗传图谱构建都需要大量多态性的SSR标记。本研究通过构建棉花参比种质(panel), 高效快速地筛选出棉花多态性核心引物。本实验选用12份表型性状和遗传差异较大的棉花种质作为参比种质, 对来自Cotton Microsatellite Database (CMD)网站上 (http://www.cottonssr.org) 的5,914对棉花SSR引物进行了PCR扩增。结果表明: 在不同棉种间多态性的引物有4,800对, 约占有效扩增引物(5,300对)的90.6%; 能区分不同品种间差异的引物大约有500对, 占有效扩增引物的9.4%。我们推荐其中319对扩增效果好、条带清晰的引物作为棉花种质资源鉴定和分子指纹分析的核心引物, 其中277对能把陆地棉品种间的差异鉴别出来。此外, 我们还找到了在陆地棉、海岛棉及亚洲棉三大栽培棉中都有差异的13对共同SSR引物, 建议作为分子指纹分析和种质鉴定的首选引物。本研究公开了319对核心SSR引物及其多态性信息, 有利于规范引物筛选程序、提高引物筛选效率, 对棉花种质资源的遗传多样性分析、指纹图谱构建, 以及种子真伪性和纯度的鉴定等都具有现实意义。     

苎麻种质资源分子身份证构建的初步研究

以国内外42份苎麻种质资源为材料,采用ISSR引物对供试材料的DNA进行扩增,将琼脂糖凝胶电泳得到的谱带统计结果进行数字化赋值,用自行编制的DNA指纹数据分析器进行数据分析。结果表明,仅需7条引物就可将42份供试材料完全区别开。相对其他DNA分子标记技术而言,ISSR操作简单、检测方便、稳定性好、多态性高,是一种较理想的苎麻分子指纹方法。初步构建了一套包含42份苎麻种质资源的分子身份证。     

Evaluation of Genetic Diversity in Chinese Wild Apple Species Along with Apple Cultivars Using SSR Markers

China, one of the primary centers of genetic diversity for the genus Malus, is very rich in wild apple germplasm. In this study, genetic diversity in 29 Malus accessions, including 12 accessions from 7 Chinese Malus species, 4 Chinese landraces, and 13 introduced apple cultivars, was assessed using a set of 19 single-locus simple sequence repeat (SSR) markers distributed across all 17 linkage groups of the apple genome. The number of alleles detected at each locus ranged from 2 to 11, with an average of 5.3 per SSR marker. In some accessions, 16 unique alleles were identified. Ten out of these 16 unique alleles (62.5%) were detected exclusively in wild species, indicating that these Chinese wild apple species have considerable genetic diversity and can be used in breeding programs to increase the genetic diversity of apple cultivars. Using 19 SSRs, an unweighted pair-group method with arithmetic average cluster analysis was conducted, and the resulting dendrogram revealed that all cultivars, except for E??peMeBckoe, were clustered together in the same group. The Russian cultivar E??peMeBckoe was closely related to the Chinese crabapple Baihaitang (M. prunifolia), with a high similarity coefficient value of 0.94. Of the two M. sieversii accessions used, one accession showed a close relationship to apple cultivars, while the other accession was closely related to wild apple species, suggesting the presence of a wider genetic diversity in Chinese M. sieversii species. The influence of SSR marker selection on genetic diversity analysis in this Malus collection was also discussed.     

Characterisation of the virescent locus controlling a recessive phenotype in apple rootstocks (Malus pumila Mill.)

Certain progenies of Malling apple rootstocks (Malus pumila) have been reported to segregate for a virescent trait: leaves are chlorotic at germination or bud break but turn green as the season progresses. The M432 rootstock mapping progeny, from which a linkage map has recently been elaborated with 323 simple sequence repeat (SSR) markers and 3,069 single nucleotide polymorphism (SNP) markers, also segregates for this phenotype. In this investigation, 188 seedlings were scored and, on the basis of a 3:1 segregation, virescence was attributed to the recessive gene (vir) for which the two parents, M.27 and M.116, are heterozygous. At least seven of 28 Malling rootstocks are heterozygous for this apparently deleterious trait. With the published marker data the gene was mapped to linkage group 12, tightly flanked by the SSR CH01g12 and the SNP marker 475880474, and was located in a physical interval of 2.36 Mb on the Golden Delicious genome sequence. A PCR-based marker was developed from the SNP and along with the SSR was scored in a set of Malus rootstock accessions. The screening of this collection demonstrated that those accessions known to be heterozygous at the vir locus all carried the 152 allele of the SSR and the G allele of the SNP, whilst a virescent accession was homozygous for the alleles. The results we present here could help predict the genotype of apple rootstocks at the vir locus, assist in the fine mapping of the vir locus to identify potential candidate genes for the trait and also aid rootstock breeding.     

Characterization of hawthorn (<Emphasis Type="Italic">Crataegus</Emphasis> spp.) genotypes by SSR markers

Hawthorn (Crataegus spp.) is an edible wild fruit that is used in traditional medicine, landscape studies, and food and beverage industries in many countries. It is an important wild plant species in Turkey and is numerous in the Yozgat Province. Genetic and breeding studies on hawthorn are very limited. Therefore, we aimed to characterize 91 hawthorn genotypes using simple sequence repeat (SSR) markers. The SSRs were developed from apple and pear and were screened in hawthorn for amplification and polymorphisms. A total of 265 alleles were detected from thirty-two SSR primer pairs, and those were used to identify genetic relationships. The number of alleles ranged from 2 to 21 alleles per locus with a mean value of 8.28. The Hi05b09 locus showed the highest allele number (Na?=?21). The polymorphism information content (PIC) values ranged from 0.16 (CH03d10) to 0.89 (C6554) with a mean value of 0.60. An Unweighted Pair Group Method with Arithmetic Average method was used to cluster the genotypes, and four major clusters were obtained from the amplification of the SSRs. STRUCTURE software identified four populations (ΔK?=?4) and eight sub-populations (ΔK?=?8), and four major clusters similar results to UPGMA analysis. Our study showed that the SSR markers could be utilized as a reliable tool for the determination of genetic variations and relationships of hawthorn genotypes. A basic molecular analysis on the hawthorn genotypes identified in this study will promote the collection of germplasm collection and the selection of parents’ in future cross-breeding studies.     

Expanding the repertoire of microsatellite markers for polymorphism studies in Indian accessions of mung bean (Vigna radiata L. Wilczek)

Limited availability of validated, polymorphic microsatellite markers in mung bean (Vigna radiata), an important food legume of India, has been a major hurdle towards its improvement and higher yield. The present study was undertaken in order to develop a new set of microsatellite markers and utilize them for the analysis of genetic diversity within mung bean accessions from India. A GA/CT enriched library was constructed from V. radiata which resulted in 1,250 putative recombinant clones of which 850 were sequenced. SSR motifs were identified and their flanking sequences were utilized to design 328 SSR primer pairs. Of these, 48 SSR markers were employed for assessing genetic diversity among 76 mung bean accessions from various geographical locations in India. Two hundred and thirty four alleles with an average of 4.85 alleles per locus were detected at 48 loci. The polymorphic information content (PIC) per locus varied from 0.1 to 0.88 (average: 0.49 per locus). The observed and expected heterozygosities ranged from 0.40 to 0.95 and 0.40 to 0.81 respectively. Based on Jaccard’s similarity matrix, a dendrogram was constructed using the unweighted pair-group method with arithmetic averages (UPGMA) analysis which revealed that one accession from Bundi, Rajasthan was clustered out separately while remaining accessions were grouped into two major clusters. The markers generated in this study will help in expanding the repertoire of the available SSR markers thereby facilitating analysis of genetic diversity, molecular mapping and ultimately broadening the scope for genetic improvement of this legume.     

Microsatellite variation in <Emphasis Type="Italic">Avena sterilis</Emphasis> oat germplasm

The Avena sterilis L. collection in the Plant Gene Resources of Canada (PGRC) consists of 11,235 accessions originating from 27 countries and is an invaluable source of genetic variation for genetic improvement of oats, but it has been inadequately characterized, particularly using molecular techniques. More than 35 accessions have been identified with genes for resistance to oat crown and stem rusts, but little is known about their comparative genetic diversity. This study attempted to characterize a structured sample of 369 accessions representing 26 countries and two specific groups with Puccinia coronata avenae (Pc) and Puccinia graminis avenae (Pg) resistance genes using microsatellite (SSR) markers. Screening of 230 SSR primer pairs developed from other major crop species yielded 26 informative primer pairs for this characterization. These 26 primer pairs were applied to screen all the samples and 125 detected alleles were scored for each accession. Analyses of the SSR data showed the effectiveness of the stratified sampling applied in capturing country-wise SSR variation. The frequencies of polymorphic alleles ranged from 0.01 to 0.99 and averaged 0.28. More than 90% of the SSR variation resided within accessions of a country. Accessions from Greece, Liberia, and Italy were genetically most diverse, while accessions from Egypt, Georgia, Ethiopia, Gibraltar, and Kenya were most distinct. Seven major clusters were identified, each consisting of accessions from multiple countries and specific groups, and these clusters were not well congruent with geographic origins. Accessions with Pc and Pg genes had similar levels of SSR variation, did not appear to cluster together, and were not associated with the other representative accessions. These SSR patterns are significant for understanding the progenitor species of cultivated oat, managing A. sterilis germplasm, and exploring new sources of genes for oat improvement.     

Genetic Diversity and Identity of Chinese Loquat Cultivars/Accessions (<Emphasis Type="Italic">Eriobotrya japonica</Emphasis>) Using Apple SSR Markers

Loquat (Eriobotrya japonica) is an underutilized fruit crop that originated in China and for which only a small number of molecular markers are available. This number can be increased by identifying apple SSRs that are transferable to loquat cultivars/accessions to provide new insight into the level of genetic diversity within loquat and synteny with apple. We evaluated 71 apple SSR markers distributed across 17 linkage groups, and identified 39 SSRs transferable to loquat. Testing 54 loquat accessions, from Japan, Spain, four provinces in China, and two wild species gave a total of 155 different alleles with a mean value of 3.38 per locus. The mean effective number of alleles was 2.21, and the mean observed heterozygosity was 0.47. These values indicate a high degree of genetic diversity in the set of Chinese loquat accessions analyzed. Unweighted pair-group method analysis based on simple matching coefficent clustered the accessions into two groups, cultivated and wild loquat. The cultivated loquat can be subdivided into three subgroups which generally reflect their geographic origin in China. The Spanish cultivars clustered with those of the Jiangsu and Zhejiang provinces. A core set of five SSR markers could distinguish most accessions.     

基于SSR标记的谷子遗传多样性研究

用21个分布在谷子9条染色体上的SSR标记,对120份来自于核心种质的谷子材料进行遗传多样性研究。21个标记共检查出305个等位变异,各标记检测出的等位变异数在3～26个之间,平均每个位点检测出的等位变异数为14.5个;21个位点的平均多态信息量(PIC)为0.809。基于21个SSR标记的分子鉴定,计算了120份材料间的遗传相似系数,其变化范围为0.8393～0.9672,平均值为0.8906。根据计算的遗传距离,对120份谷子材料进行UPGMA聚类,在遗传相似系数0.8865处这些材料被划分为4个类群,分类结果与这些谷子来源地生态类型总体上表现一致,分别为西北内陆类群、黄土高原内蒙古高原类群、华北平原类群以及华北平原近年育成种类群。     

Genetic analysis of Anatolian pear germplasm by simple sequence repeats

The pear (Pyrus communis L.) is a fruit species grown in many temperate regions of the world. Turkey harbours a rich and ancient pear germplasm adapted to diverse ecological regions of the country. The aim of this study was to genetically characterise locally grown Anatolian pear germplasm. We have analysed large numbers (228) of pear accessions originated from six eco‐geographically diverse regions using 18 simple sequence repeat (SSR) markers and identified 308 SSR alleles. Genetic similarities among the accessions examined were generally below 80%. The highest heterozygosity rate was obtained for the SSR locus ‘CH02D11’ derived from apples and ‘KA16’ and ‘NH0021a’ derived from pears. No identical or synonymous genotypes were found, while five homonymous genotypes were identified. Factorial correspondence analysis could not clearly separate different pear accession groups studied, suggesting that Anatolian pear accessions were intermixed possibly due to gene flow and/or germplasm movements between different eco‐geographical regions. However, most pear accessions were grouped according to their collection sites in structure analyses. The SSR data reported here for Anatolian pear accessions will be valuable for future germplasm management efforts as well as for comparative studies that investigate genetic relationships of pears from Anatolia and the surrounding regions.     

Molecular characterization and genetic diversity analysis of soybean (Glycine max (L.) Merr.) germplasm accessions in India

Molecular characterization and genetic diversity among 82 soybean accessions was carried out by using 44 simple sequence repeat (SSR) markers. Of the 44 SSR markers used, 40 markers were found polymorphic among 82 soybean accessions. These 40 polymorphic markers produced a total of 119 alleles, of which five were unique alleles and four alleles were rare. The allele number for each SSR locus varied between two to four with an average of 2.97 alleles per marker. Polymorphic information content values of SSRs ranged from 0.101 to 0.742 with an average of 0.477. Jaccard’s similarity coefficient was employed to study the molecular diversity of 82 soybean accessions. The pairwise genetic similarity among 82 soybean accessions varied from 0.28 to 0.90. The dendrogram constructed based on genetic similarities among 82 soybean accessions identified three major clusters. The majority of genotypes including four improved cultivars were grouped in a single subcluster IIIa of cluster III, indicating high genetic resemblance among soybean germplasm collection in India.

Electronic supplementary material

The online version of this article (doi:10.1007/s12298-014-0266-y) contains supplementary material, which is available to authorized users.     

Evaluation of the genetic diversity and population structure of sesame (Sesamum indicum L.) using microsatellite markers

Sixteen polymorphic microsatellite (SSR) markers, developed from an SSR-enriched genomic DNA library of sesame (Sesamum indicum L.), were used to assess genetic diversity, phylogenetic relationships, and population structure among 150 sesame accessions collected from 22 countries. A total of 121 alleles were detected among the sesame accessions. The number of detected alleles varied from 2 to 18, with an average of 7.6 alleles per locus. Polymorphism information content values ranged from 0.03 to 0.79, with an average of 0.42. These values indicated an excess of heterozygous individuals at 16 loci and an excess of homozygous individuals at three loci. Of these, 32 genotype-specific alleles were identified at 11 of 16 polymorphic SSR markers. Cluster analyses were performed by accession and population, revealing a complex accession distribution pattern with mean genetic similarity coefficient of 0.45 by accession and 0.52 by population. The wide variation in genetic similarity among the accessions revealed by SSRs reflected a high level of polymorphism at the DNA level. Model-based structure analysis revealed the presence of three groups that were basically consistent with the clustering results based on genetic distance. These findings may be used to augment the sesame germplasm and to increase the effectiveness of sesame breeding.