大豆耐盐性种质资源SSR遗传多样性及标记辅助鉴定

本研究利用60对SSR引物对93份大豆1级耐盐种质资源和57份盐敏感种质资源(5级)进行分析,以确定耐盐种质资源和盐敏感种质资源的遗传多样性,以及耐盐相关标记在种质资源耐盐性鉴定中的利用程度.60个位点共检测出等位变异792个,平均13.2个,其中耐盐种质资源特有等位变异133个,盐敏感种质资源特有等位变异106个,但76.0%的等位变异频率低于0.10,仅有1.8%的等位变异出现频率高于0.40.耐盐种质资源多态性信息含量(PIC)平均为0.78(0.47～0.90),盐敏感种质资源PIC平均为0.80(0.46～0.94).根据主成分分析,耐盐和盐敏感种质资源多样性分布规律相似.然而,与耐盐基因相关的一个SSR位点的等位变异分布频率在耐盐和盐敏感种质资源间无显著差异.根据UPGMA聚类分析结果,耐盐种质资源按生态区分为3个类群,类群Ⅰ和Ⅲ分别以东北春大豆和北方春大豆为主,类群Ⅱ为黄淮夏大豆和其他生态类型的混合群.     

湖北夏大豆种质 SSR 标记的遗传多样性研究

利用SSR标记和系统聚类分析,对92个湖北夏大豆种质进行遗传多样性分析。结果表明,28个SSR位点检测到134个等位变异,每个SSR位点的等位变异范围为2~9个,平均4.78个。鄂西南山区的遗传多样性指数和等位变异数最高,其次为江汉平原区。83.6%以上的遗传差异是由于地区差异引起,表现较高程度的地理分化。系统聚类将92个大豆品种分为3个类群,Ⅰ类和Ⅲ类分别以鄂西南山区品种和江汉平原区品种为主。鄂西南山区和江汉平原区的大豆地方品种表现遗传多样性水平较高。     

利用SSR分子标记检测黄淮夏大豆(Glycine max)初选核心样本的代表性

作物核心种质是用最小的样本代表其全部遗传资源的最大遗传多样性。为了检测大豆初选核心样本取样的代表性,本研究从黄淮夏大豆初选核心样本中,随机选取两个类群,其材料数分别为20份和14份;从保留种质的相应奥群中,分别随机选取6份和5份,共计45份材料,进行14个农艺性状和20对SSR引物的分析。对两组材料进行农艺性状聚类．保菌种质与初选核心种质聚在了一起;利用SSR分子标记数据聚类,也得到了相同的结果。初选核心样本两个类群材料的等位变异数分别为129个,136个;保留种质相应类群材料的等位变异分别为76个,71个;初选核心种质两个类群材料分别包合了整个资源86.00％和86．62％的遗传多样性。本研究为大豆核心种质构建及检测提供分子水平的依据。     

国家基因库野生大豆微核心样本遗传变异性的SSR标记分析

用70对SSR引物对96份野生大豆微核心种质样本进行了遗传多样性分析.结果检测出1278个等位变异,平均每个位点有18.3个.地理区域群体水平显示,遗传信息指数(PIC)和特异等位基因变异数(NUA)以东北地区最高,长江流域次之,华南地区最低.在地理区域个体水平,遗传多样性的特征值以华南地区最高,依次由南向北降低,东北最低.我国华南野生大豆和东北野生大豆有显著的遗传分化.聚类分析结果显示,国家基因库野生大豆保存样本中的典型野生大豆和半野生大豆之间存在明显的遗传差异;地理上,种质的地理遗传分组表现弱的地域性.本研究中半野生大豆杂合性明显高于典型野生型的结果,支持关于这个类型起源于栽培和野生大豆天然杂交的假说,栽培大豆的基因可能已经流入到野生种内,某些百粒重小于3g的种质可能也是来源于野生和栽培大豆的天然杂交后代分离.     

我国育成小麦品种的遗传多样性演变

对我国小麦育成品种初选核心种质(1680份)的78个微卫星标记(SSR)位点进行了扫描,并就此对50年来育成品种的遗传多样性进行了评价和分析,得到以下结果和结论:(ⅰ)74对SSR荧光引物共检测到1336个等位变异,其中1253个等位变异可以定位在71个位点上.这71个位点上检测到的每个位点等位变异数为4~44个,平均17.6个;多态性信息指数(PIC)为0.19~0.89,平均为0.69.(ⅱ)三个基因组的平均等位变异丰富度为B>A>D,遗传多样性指数为B>D>A.(ⅲ)7个部分同源群的平均等位变异丰富度为2=7>3>4>6>5>1,遗传多样性指数为7>3>2>4>6>5>1.结合两个指标分析,第7部分同源群具有最高的多样性,而1,5群多样性最低.(ⅳ)21条染色体中,7A,3B和2D三条染色体遗传多样性较高,而2A,1B,4D,5D和1D的遗传多样性偏低.(ⅴ)育成品种遗传多样性指数以50年代的最高,以后越来越低,但年代间变化较平缓;品种间平均遗传距离以50年代最高(0.731),以后逐渐减小,各年代依次为0.711,0.706,0.696和0.695.品种遗传基础狭窄化问题日趋突出,应引起有关部门和育种家的关注.     

河北省大豆地方品种遗传基础

以50份河北省大豆地方品种为材料,通过两年对12个农艺性状鉴定和30个SSR位点的分析,结果表明,地方品种农艺性状平均多样性指数PIC为0.83,数量性状平均变异系数为20.15%,30个SSR位点平均等位变异数5.03,平均多样性指数PIC为0.61,参试材料遗传距离平均0.869。利用Bayesian模型将参试材料分为4组。分析结果表明,河北省地方品种的遗传多样性与地理来源或不同熟期类型间没有显著相关。     

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。     

河北省大豆地方品种遗传基础

以50份河北省大豆地方品种为材料,通过两年对12个农艺性状鉴定和30个SSR位点的分析,结果表明,地方品种农艺性状平均多样性指数为0．83,数量性状平均变异系数为20．15％,30个SSR位点平均等位变异数5．03,平均多样性指数为0．61,参试材料遗传距离平均0．869。利用Bayesian模型将参试材料分为4组。分析结果表明,河北省地方品种的遗传多样性与地理来源或不同熟期类型间没有显著相关。     

河北省绿子叶黑豆种质资源表现型和ISSR标记遗传多样性分析

为了揭示河北省绿子叶黑豆种质资源的遗传多样性,为其研究利用提供理论根据,以46份原产河北省的绿子叶黑豆种质资源为试验材料,对其基于表型性状及ISSR标记鉴定结果进行了聚类分析,结果表明:7个ISSR引物共检测出60个等位变异,平均每个位点有8.6个等位变异,变幅为5～17个;ISSR引物的多态性信息量PIC变幅为0.721～0.927,平均0.820;利用表型性状和ISSR标记数据进行品种间遗传多样性分析,遗传相似系数变化范围分别为0.07～0.53和0.43～1.00,平均为0.284和0.704,遗传相似性变幅较大,河北省不同绿子叶黑豆品种间存在着丰富的遗传多样性。聚类结果显示,类群与品种来源地有关。     

广西普通野生稻群体结构解析与核心种质构建

利用覆盖水稻12条染色体的64个分子标记,对广西境内已发现的283个野生稻自然居群按居群取样原则采集4173份代表性样本进行遗传结构分析并构建核心种质。结果显示,64个标记位点共检测出1180个等位变异,平均等位变异数为18.4375,Shannon指数为1.7367,Nei's多样性指数0.7182,表明广西普通野生稻资源遗传多样性十分丰富。同时,基于广西普通野生稻群体结构,构建了包含351份种质的广西普通野生稻核心种质,占原样本数的8.41%。广西普通野生稻核心种质,代表广西普通野生稻的多样性和特异性,为野生稻遗传资源的深入研究提供基础,从而为水稻育种提供应用信息。     

Identification of unique alleles and assessment of genetic diversity of rabi sorghum accessions using simple sequence repeat markers

Genetic diversity among 42 sorghum accessions representing landraces (19), advanced breeding lines (16), local cultivars (2) and release varieties (5) with 30 simple sequence repeat (SSR) markers revealed 7.6 mean number of alleles per locus showing 93.3% polymorphism and an average polymorphism information content of 0.78 which range from 0.22 (Xtxp12) and 0.91(Xtxp321). The average heterozygosity and effective number of alleles per locus were 0.8 and 6.65 respectively. Cluster analysis based on microsatellite allelic diversity clearly demarcated the accessions into ten clusters. A total of 24 unique alleles were obtained from seven SSR loci in 23 accessions in a size range of 110–380 bp; these unique alleles may serve as diagnostic tools for particular region of the genome of respective genotypes. Selected SSR markers from different linkage groups provided an accurate way of determining genetic diversity at the molecular level.     

Genetic diversity and peculiarity of annual wild soybean (<Emphasis Type="Italic">G. soja</Emphasis> Sieb. et Zucc.) from various eco-regions in China

Annual wild soybean (Glycine soja Sieb. et Zucc.) is believed to be a potential gene source for future soybean improvement in coping with the world climate change for food security. To evaluate the wild soybean genetic diversity and differentiation, we analyzed allelic profiles at 60 simple-sequence repeat (SSR) loci and variation of eight morph-biological traits of a representative sample with 196 accessions from the natural growing area in China. For comparison, a representative sample with 200 landraces of Chinese cultivated soybean was included in this study. The SSR loci produced 1,067 alleles (17.8 per locus) with a mean gene diversity of 0.857 in the wild sample, which indicated the genetic diversity of G. soja was much higher than that of its cultivated counterpart (total 826 alleles, 13.7 per locus, mean gene diversity 0.727). After domestication, the genetic diversity of the cultigens decreased, with its 65.5% alleles inherited from the wild soybean, while 34.5% alleles newly emerged. AMOVA analysis showed that significant variance did exist among Northeast China, Huang-Huai-Hai Valleys and Southern China subpopulations. UPGMA cluster analysis indicated very significant association between the geographic grouping and genetic clustering, which demonstrated the geographic differentiation of the wild population had its relevant genetic bases. In comparison with the other two subpopulations, the Southern China subpopulation showed the highest allelic richness, diversity index and largest number of specific-present alleles, which suggests Southern China should be the major center of diversity for annual wild soybean. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Genetic diversity among cultivars, landraces and wild relatives of rice as revealed by microsatellite markers

Genetic diversity among 35 rice accessions, which included 19 landraces, 9 cultivars and 7 wild relatives, was investigated by using microsatellite (SSR) markers distributed across the rice genome. The mean number of alleles per locus was 4.86, showing 95.2% polymorphism and an average polymorphism information content of 0.707. Cluster analysis based on microsatellite allelic diversity clearly demarcated the landraces, cultivars and wild relatives into different groups. The allelic richness computed for the clusters indicated that genetic diversity was the highest among wild relatives (0.436), followed by landraces (0.356), and the lowest for cultivars. Allelic variability among the SSR markers was high enough to categorize cultivars, landraces and wild relatives of the rice germplasm, and to catalogue the genetic variability observed for future use. The results also suggested the necessity to introgress genes from landraces and wild relatives into cultivars, for cultivar improvement.     

Genetic diversity analysis of traditional and improved Indonesian rice (Oryza sativa L.) germplasm using microsatellite markers

The archipelago of Indonesia has a long history of rice production across a broad range of rice-growing environments resulting in a diverse array of local Indonesian rice varieties. Although some have been incorporated into modern breeding programs, the vast majority of these landraces remain untapped. To better understand this rich source of genetic diversity we have characterized 330 rice accessions, including 246 Indonesian landraces and 63 Indonesian improved cultivars, using 30 fluorescently-labeled microsatellite markers. The landraces were selected across 21 provinces and include representatives of the classical subpopulations of cere, bulu, and gundil rices. A total of 394 alleles were detected at the 30 simple sequence repeat loci, with an average number of 13 alleles per locus across all accessions, and an average polymorphism information content value of 0.66. Genetic diversity analysis characterized the Indonesian landraces as 68% indica and 32% tropical japonica, with an indica gene diversity of 0.53 and a tropical japonica gene diversity of 0.56, and a Fst of 0.38 between the two groups. All of the improved varieties sampled were indica, and had an average gene diversity of 0.46. A set of high quality Indonesian varieties, including Rojolele, formed a separate cluster within the tropical japonicas. This germplasm presents a valuable source of diversity for future breeding and association mapping efforts.     

Comparative analysis of microsatellite DNA polymorphism in landraces and cultivars of rice

Genetic polymorphisms of ten microsatellite DNA loci were examined among 238 accessions of landraces and cultivars that represent a significant portion of the distribution range for both indica and japonica groups of cultivated rice. In all, 93 alleles were identified with these ten markers. The number of alleles varied from a low of 3 or 4 at each of four loci, to an intermediate value of 9–14 at five loci, and to an extra-ordinarily high 25 at one locus. The numbers of alleles per locus are much larger than those detected using other types of markers. The number of alleles detected at a locus is significantly correlated with the number of simple sequence repeats in the targeted microsatellite DNA. Indica rice has about 14% more alleles than japonica rice, and such allele number differences are more pronounced in landraces than in cultivars. The indica-japonica differentiation component accounted for about 10% of the diversity in the total sample, and twice as much differentiation was detected in cultivars as in landraces. About two-thirds as many alleles were observed in cultivars as in landraces; another two-thirds of the alleles in the cultivar group were found in modern elite cultivars or parents of hybrid rice. The majority of the simple sequence repeat (SSR) alleles that were present in high or intermediate frequencies in landraces ultimately survived into modern elite cultivars and hybrids. The greater resolving power and the efficient production of massive amounts of SSR data may be particularly useful for germplasm assessment and evolutionary studies of crop plants.     

Genetic diversity and relationships among Dutch elm disease tolerant Ulmus pumila L. accessions from China.

Elm breeding programs worldwide have relied heavily on Asian elm germplasm, particularly Ulmus pumila, for the breeding of Dutch elm disease tolerant cultivars. However, the extent and patterning of genetic variation in Asian elm species is unknown. Therefore, the objective of this research was to determine the extent of genetic diversity among 53 U. pumila accessions collected throughout the People's Republic of China. Using 23 microsatellite loci recently developed in the genus Ulmus, a total of 94 alleles were identified in 15 polymorphic and 4 monomorphic loci. The average number of alleles per locus was 4.9, with a range of 1-11 alleles. Gene diversity estimates per locus ranged from 0.08 to 0.87, and the non-exclusion probability for the 15 polymorphic loci combined was 0.7 x 10(-9). Nineteen region-specific alleles were identified, and regional gene diversity estimates were moderately high (0.48-0.57). The genetic relationships among accessions and regions were estimated by UPGMA and principal coordinate analysis. Both techniques discriminated all accessions and regions. Two microsatellite markers (UR175 + UR123 or Ulm-3) were sufficient to discriminate up to 99.7% of the accessions studied. This research provides useful information for DNA-based fingerprinting, breeding, ecological studies, and diversity assessment of elm germplasm.     

Genetic diversity among East Asian accessions of the barley core collection as revealed by six isozyme loci

 Studies of allelic variations at six isozyme loci revealed genetic diversity of 380 East Asian accessions of the Barley Core Collection. Genetic variation was found in both cultivars and landraces in different regions. Allelic variations at the Aco-1 and Aco-2 loci were detected for East Asian barley for the first time. Moreover, the Aco-1 locus displayed the highest genetic diversity among the six loci assayed. Indian cultivars showed the highest diversity, followed by Korean and Chinese cultivars. Landraces from Bhutan and Nepal showed the lowest diversity. Cultivars had generally higher diversity than landraces within as well as among regions. The cluster analysis of genetic identity showed that all landraces from different countries can be placed in one group; the cultivars from Japan, India and Korea each form independent groups. Gpi-1 Gu, Pgd-1 Tj, Aco-1 Si, Ndh-2 D and Aco-2 A were rare alleles found in only a few accessions of 6-rowed barley. The Pgd-2 Tn allele was very rare in East Asian accessions. Received: 29 July 1998 / Accepted: 2 November 1998     

Diversity Assessment of Turkish Maize Landraces Based on Fluorescent Labelled SSR Markers

Landraces of maize represent a valuable genetic resource for breeding and genetic studies. Since 1970, landraces have been collected from all over Turkey, but the genetic diversity represented in this collection is still largely unknown. In this study, a sample of 98 landraces sampled from 45 provinces of Turkey was assessed genotypically at 28 simple sequence repeat (SSR) loci and phenotypically for 19 morphological traits. The landraces varied significantly for all the latter traits. A total of 172 SSR alleles were detected, giving a mean of 6.21 alleles per locus. The genetic distance between pairs of landraces ranged from 0.18 to 0.63, with a mean of 0.35. Positive and negative correlation exists among different morphological and agronomic traits. Positive association among different traits showed that improvement of one character may simultaneously improve the other desired trait. Based on UPGMA dendrogram and Neighbor-Net (NNET) analyses from both morphological traits and SSR data, respectively, it is obvious that maize landraces from the same geographical region were often placed in different clusters, indicating that grouping based on genetic parameters was not closely related to the geographic origin. The wide diversity present in Turkish maize landraces could be used as genetic resource in designing maize breeding program for developing new cultivars adapted to different geographic and climatic conditions, and may also contribute to worldwide breeding programs.     

An estimation of the minimum number of SSR loci needed to reveal genetic relationships in wheat varieties: Information from 96 random accessions with maximized genetic diversity

Genetic relationships among common wheat varieties from the 10 wheat growing regions of China were assessed using SSR markers. The wheat varieties included 33 modern varieties and 63 landraces selected from the national gene bank collection of China. One hundred and four pairs of selected primers detected a total of 802 alleles, of which 234 were specific to A genome, 309 to B genome, and 221 to D genome. The average genetic richness per locus (A _ij /loci) for A, B and D genomes were 6.88, 7.92 and 7.62, respectively. Their average genetic dispersion indices (H _t ) were 0.637, 0.694 and 0.656, respectively. The B genome showed the highest genetic diversity among the three wheat genomes. The landraces had a higher genetic diversity than the modern varieties, and the major difference between the landraces and the modern varieties in China existed in the D genome, followed by B and A genomes. The majority of the accessions (65.6%) had heterogeneity at the 112 loci detected. The highest heterogeneity locus percentages were 9.09 and 12.73 in the modern varieties and the landraces, respectively. SSR data were analyzed with NTSYS-pc software. The genetic similarities between accessions were estimated with the DICE coefficient. The accessions clustered into two groups, the modern varieties and the landraces by the un-weighted pair-group method using arithmetic average (UPGMA). The trend of correlation coefficients between genetic similarity matrices based on different numbers of random alleles and that of 802 alleles showed that 550 alleles were sufficient to construct a robust dendrogram. The separated simulations from six sub-samples revealed that 550 alleles were the minimum number required to confidently determine the genetic relationships. It was shown that the number of alleles (loci) needed do not have a strong association with the number of wheat lines in the sample size. These data suggested that 73 loci with good polymorphism are needed to reflect genetic relationships among accessions with more than 90% certainty. In the dendrogram, most accessions from the same wheat region were clustered together, and those from geographically adjacent regions usually appeared in the same small group. This indicated that genetic diversity of Chinese common wheat has a close association with their geographic distribution and ecological environment.     

Genetic Diversity of Landraces in Gossypium arboreum L. Race sinense Assessed with Simple Sequence Repeat Markers

Asiatic cotton (Gossypium arboreum L.) is an "Old World" cultivated cotton species, the sinense race of which is planted extensively in China. This species is still used in the current tetraploid cotton breeding program as an elite germplasm line, and is also used as a model for genomic research in Gossypium. In the present study, 60 cotton microsatellite markers, averaging 4.6 markers for each A-genome chromosome,were chosen to assess the genetic diversity of 109 accessions. These included 106 G. arboreum landraces,collected from 18 provinces throughout four Asiatic cotton-growing regions in China. A total of 128 alleles were detected, with an average of 2.13 alleles per locus. The largest number of alleles, as well as the maximum number of polymorphic loci, was detected in the A03 linkage group. No polymorphic alleles were detected on chromosome 10. The polymorphism information content for the 22 polymorphic microsatellite loci varied from 0.52 to 0.98, with an average of 0.89. Genetic diversity analysis revealed that the landraces in the Southern region had more genetic variability than those from the other two regions, and no significant difference was detected between landraces in the Yangtze and the Yellow River Valley regions. These findings are consistent with the history of sinense introduction, with the Southern region being the presumed center of origin for Chinese Asiatic cotton, and with subsequent northeastward extension to the Yangtze and Yellow River Valleys. Cluster analysis, based on simple sequence repeat data for 60 microsatellite loci, clearly differentiated Vietnamese and G. herbaceum landraces from the sinense landrace. No relationship between inter-variety similarity and geographical ecological region was observed. The present findings indicate that the Southern region landraces may have been directly introduced into the provinces in the middle and lower Yangtze River Valley, where Asiatic cotton was most extensively grown, and further race sinense crops were subsequently produced.