利用分子标记和数量性状基因型值构建作物核心种质库的研究

提出了一种基于分子标记数据及数量性状基因型值构建作物种质资源核心种质库的方法.采用包括基因型与环境互作的遗传模型及相应的混合线性模型统计分析方法,无偏预测各材料的基因型值,分别用基因型值和分子标记数据计算个体间的相似系数,加权得到最终的相似距离.采用不加权类平均法（UPGMA）进行系统聚类,用多次聚类随机取样法构建核心种质库.以水稻DH群体111个基因型8个农艺性状、175个分子标记位点的数据为实例,按四种抽样比率（25%,20%,15%,10%）构建了四个核心种质库,比较了核心种质库与整个群体的分子标记多样性及数量性状的遗传变异,评价了所用方法的有效性。     

Methods of developing core collections based on the predicted genotypic value of rice (<Emphasis Type="Italic">Oryza sativa</Emphasis> L.)

The selection of an appropriate sampling strategy and a clustering method is important in the construction of core collections based on predicted genotypic values in order to retain the greatest degree of genetic diversity of the initial collection. In this study, methods of developing rice core collections were evaluated based on the predicted genotypic values for 992 rice varieties with 13 quantitative traits. The genotypic values of the traits were predicted by the adjusted unbiased prediction (AUP) method. Based on the predicted genotypic values, Mahalanobis distances were calculated and employed to measure the genetic similarities among the rice varieties. Six hierarchical clustering methods, including the single linkage, median linkage, centroid, unweighted pair-group average, weighted pair-group average and flexible-beta methods, were combined with random, preferred and deviation sampling to develop 18 core collections of rice germplasm. The results show that the deviation sampling strategy in combination with the unweighted pair-group average method of hierarchical clustering retains the greatest degree of genetic diversities of the initial collection. The core collections sampled using predicted genotypic values had more genetic diversity than those based on phenotypic values.Communicated by D.J. Mackill     

A strategy on constructing core collections by least distance stepwise sampling

A strategy was proposed for constructing core collections by least distance stepwise sampling (LDSS) based on genotypic values. In each procedure of cluster, the sampling is performed in the subgroup with the least distance in the dendrogram during constructing a core collection. Mean difference percentage (MD), variance difference percentage (VD), coincidence rate of range (CR) and variable rate of coefficient of variation (VR) were used to evaluate the representativeness of core collections constructed by this strategy. A cotton germplasm collection of 1,547 accessions with 18 quantitative traits was used to construct core collections. Genotypic values of all quantitative traits of the cotton collection were unbiasedly predicted based on mixed linear model approach. By three sampling percentages (10, 20 and 30%), four genetic distances (city block distance, Euclidean distance, standardized Euclidean distance and Mahalanobis distance) combining four hierarchical cluster methods (nearest distance method, furthest distance method, unweighted pair-group average method and Ward’s method) were adopted to evaluate the property of this strategy. Simulations were conducted in order to draw consistent, stable and reproducible results. The principal components analysis was performed to validate this strategy. The results showed that core collections constructed by LDSS strategy had a good representativeness of the initial collection. As compared to the control strategy (stepwise clusters with random sampling strategy), LDSS strategy could construct more representative core collections. For LDSS strategy, cluster methods did not need to be considered because all hierarchical cluster methods could give same results completely. The results also suggested that standardized Euclidean distance was an appropriate genetic distance for constructing core collections in this strategy.     

Genetic distance sampling: a novel sampling method for obtaining core collections using genetic distances with an application to cultivated lettuce

This paper introduces a novel sampling method for obtaining core collections, entitled genetic distance sampling. The method incorporates information about distances between individual accessions into a random sampling procedure. A basic feature of the method is that automatically larger samples are obtained if accessions are further apart and smaller samples if accessions are closer together. Genetic distance sampling can be used in conjunction with predefined stratifications of the accessions. Sample sizes are determined automatically; they depend on the distances between accessions within strata. The method is applied to the collection of cultivated lettuce of the Centre for Genetic Resources, the Netherlands. In this paper, genetic distances between accessions are obtained using AFLP marker data. However, genetic distance sampling can be applied using any measure of genetic distance between accessions. Some properties of genetic distance sampling are discussed.     

Establishment of a Core Collection of Traditional Cuban <Emphasis Type="Italic">Theobroma cacao</Emphasis> Plants for Conservation and Utilization Purposes

Presently, Theobroma cacao L. (cacao) in Cuba is mainly cultivated in the eastern region where plantations comprise a mixture of clonal varieties, hybrids, progeny of Trinidad Selected Hybrids, and traditional—also known as ancient—cacao. The ancient genetic resources, probably the plants most closely related to the original introductions, are endangered by their progressive replacement by modern clones. To promote the conservation and utilization of these genetic resources, a representative sample of 537 traditional Cuban cacao plants was used to develop a core collection. Core collections based on 15 simple sequence repeat (SSR) markers were generated using five different sampling algorithms: random sampling, simulated annealing, stepwise clustering with random sampling, the M strategy, and maximum genetic diversity. The five core collections were designed to capture 95 % of the SSR alleles in the complete collection. The genetic, morphological, and geographical diversity of each core collection was compared with that of the entire collection. The entire collection contained 139 alleles, including 104 rare ones, with the 95 % allelic coverage threshold achieved with 133 alleles. The core collection generated by the maximum genetic diversity algorithm had the lowest number of accessions (185), the highest mean genetic distance (0.486), the lowest morphological character redundancy, and the highest diversity as assessed by the mean Shannon-Weaver diversity index (0.757). This core collection can thus serve as the basis of future improvement programs based on local genetic resources.     

Methods of developing a core collection of annual Medicago species

A core collection is a subset of a large germplasm collection that contains accessions chosen to represent the genetic variability of the germplasm collection. The purpose of the core collection is to improve management and use of a germplasm collection. Core collections are usually assembled by grouping accessions and selecting from within these groups. The objective of this study was to compare 11 methods of assembling a core collection of the U.S. National collection of annual Medicago species. These methods differed in their use of passport and evaluation data as well as their selection strategy. Another objective was to compare core collections with sample sizes of 5%, 10% and 17% of the germplasm collection. Core collections assembled with evaluation data and cluster analysis better represented the germplasm collection than core collections assembled based solely on passport data and random selection of accessions, The Relative Diversity and the logarithm methods generated better core collections than the proportional method. The 5% and 10% sample size core collection were judged insufficient to represent the germplasm collection.     

Ex situ conservation of underutilised fruit tree species: establishment of a core collection for Ficus carica L. using microsatellite markers (SSRs)

Ex situ germ plasm collections of woody crops are necessary to ensure the optimal use of plant genetic resources. The fig tree (Ficus carica L.) germ plasm bank, consisting of 229 accessions, is located in Centro de Investigación ‘La Orden’. Despite great progress in conservation, ex situ collections face size and organization problems. Core collections obtained from structured samples of bigger collections are a useful tool to improve germ plasm management. In this work, we used simple sequence repeat (SSR) markers to establish a core collection in this underutilised Mediterranean fruit tree species. Four approaches have been carried out (random sampling, maximization, simulated annealing and stepwise clustering) to determine the best method to develop a core collection in this woody plant. The genetic diversity obtained with each subset was compared with that of the complete collection. It was found that the most efficient way to achieve the maximum diversity was the maximization strategy, which, with 30 accessions, recovers all the SSR alleles and does not show significant differences in allele frequency distribution in any of the loci or in the variability parameters (H _O, H _E) between the whole and core collections. Thus, this core collection, a representative of most fig diversity conserved in the germ plasm bank, could be used as a basis for plant material exchange among researchers and breeders.     

长江春大豆核心种质构建及分析

利用长江春大豆初选核心种质SSR(simple sequence repeat）标记和农艺性状表型等基础数据,对用不同个体取样方法以及不同数据类型建立的核心种质进行评价,目的是确定中国大豆（Glycine max）核心种质的最佳取样策略提供依据,结果表明,根据SSR分子数据聚类,采用类内随机取样,类内以遗传相似性系数取样以及仅依据遗传相似性系数取样都可用于大豆核心种质构建,但是综合不同评价参数发现,以类内随机取样最佳,类内按遗传相似性系数取样次之,单独以遗传相似性系数取样较差。分析不同SSR等位变异保留比例的遗传多样性指数发现,当保留90%和80%的SSR等位变异时,核心种质具有更高的遗传多样性,由于与SSR分子数据种质遗传关系评价的不一致性,农艺性状等基础数据虽然可用来构建核心种质,但其SSR分子水平代表性相对较低,本研究结果还表明,用不同方法或同一方法不同重复次数取样建立的核心种质具有异质性,且这种异质性随核心种质取样比例的降低而增大,因此,虽然可依据不同数据类型确定相应的方法建立核心种质,但综合表型和分子数据建立的核心种质更具有代表性。     

Comparative analysis of core collection sampling methods for mandarin germplasm based on molecular and phenotypic data

Gene banks have been established to conserve the genetic diversity of crop species. Large germplasm collections lead to management problems (space, maintenance costs, etc.), especially in collections involving species with recalcitrant seeds that must be maintained as growing plants. Core collections (CCs) are thus developed to reduce the size of large germplasm collections while keeping the maximum variability. This also facilitates fine phenotypic evaluation. In this study, several software packages (DARwin, PowerMarker and MSTRAT) and methods (Max length subtree, M strategy, simulated annealing and MinSD) were compared to define a mandarin (Citrus reticulata) CC. One hundred and sixty‐seven accessions were sampled from two germplasm collections, which were genotyped with 50 SSR, 24 InDel and 68 single nucleotide polymorphism markers. All the CC obtained were tested for the maintenance of the genetic variability parameters (Ho and He) of the initial collection, the level of linkage disequilibrium (LD) and the phenotypic diversity retention. The Max length subtree function from DARWin seemed to be the most appropriate method for establishing a CC in C. reticulata. It maintained 96.82% of the allelic richness and 17.96% of the size of the initial collection with only 30 accessions. Besides it did not increase the LD (r² value) of the initial collection and retained the vast majority of the phenotypic variability. However, a CC with 70 accessions would be more helpful for genetic association studies.     

RAPD markers on seed bulks efficiently assess the genetic diversity of a Brassica oleracea L. collection

 The concept of a core collection was elaborated to fit the necessity of optimizing the management, for both conservation and use, of genetic resources in sizeable collections. This approach requires an analysis of how the genetic variability is structured among the accessions. The large number of heterogeneous populations in our collection of Brassica oleracea makes genetic diversity studies based on plant-to-plant analysis impracticable. To overcome this limitation, the variability analysis by RAPD on seed bulks was investigated for its efficiency in assessing the structure of the genetic diversity of this collection. The optimal bulk size and the bulking or sampling variation were evaluated with bulks of different size and with replicated samples. A mixture of known genotypes was also used to characterise the band detection in bulks, and to compare the plant-to-plant and the bulk methods. Forty seeds were chosen to represent each population. In such a bulk, the detection of bands depended on the proportion of the genotype they were derived from in the mixture. Intense and frequent bands were detected in the bulk with a 15% detection limit. The observed bulking or sampling variation within populations was smaller than the variation between populations, leading to an efficient separation of populations with a clustering of all samples of the same population. The distances calculated from bulk data were highly correlated with the distances based on the plant-to-plant analysis. We demonstrated that RAPD on seed bulks can be used to describe the genetic diversity between populations. Received: 27 August 1998 / Accepted: 29 September 1998     

Comparison of different methods to construct a core germplasm collection in woody perennial species with simple sequence repeat markers. A case study in cherimoya (Annona cherimola, Annonaceae), an underutilised subtropical fruit tree species

Although molecular markers are becoming the tool of choice to develop core collections in plants, the examples of their use in woody perennial species are very scarce. In this work, we used simple sequence repeat (SSR) marker data to develop a core collection in an underutilised subtropical fruit tree species, cherimoya ( Annona cherimola , Annonaceae), from an initial collection of 279 genotypes from different countries. We compared six alternative allocation methods to construct the core collection, four not based upon the similarity dendrogram [random sampling, maximisation strategy (M strategy) and simulated annealing algorithm maximising both genetic diversity and number of SSR alleles] and two based on dendrogram data (logarithmic strategy and stepwise clustering). The diversity maintained in each subset was compared with that present in the entire collection. The results obtained indicate that the use of SSRs together with the M strategy is the most efficient method to develop a core collection in cherimoya. In the best subset, with 40 accessions, all the SSR alleles present in the whole collection were recovered and no significant differences in frequency distribution of alleles for any of the loci studied or in variability parameters ( H _O, H _E) were recorded between the core and the whole collection.     

Developing core collections to optimize the management and the exploitation of diversity of the coffee Coffea canephora

The management of diversity for conservation and breeding is of great importance for all plant species and is particularly true in perennial species, such as the coffee Coffea canephora. This species exhibits a large genetic and phenotypic diversity with six different diversity groups. Large field collections are available in the Ivory Coast, Uganda and other Asian, American and African countries but are very expensive and time consuming to establish and maintain in large areas. We propose to improve coffee germplasm management through the construction of genetic core collections derived from a set of 565 accessions that are characterized with 13 microsatellite markers. Core collections of 12, 24 and 48 accessions were defined using two methods aimed to maximize the allelic diversity (Maximization strategy) or genetic distance (Maximum-Length Sub-Tree method). A composite core collection of 77 accessions is proposed for both objectives of an optimal management of diversity and breeding. This core collection presents a gene diversity value of 0.8 and exhibits the totality of the major alleles (i.e., 184) that are present in the initial set. The seven proposed core collections constitute a valuable tool for diversity management and a foundation for breeding programs. The use of these collections for collection management in research centers and breeding perspectives for coffee improvement are discussed.     

Optimal sampling strategy and core collection size of Andean tetraploid potato based on isozyme data - a simulation study

Selection of an appropriate sampling strategy is an important prerequisite to establish core collections of appropriate size in order to adequately represent the genetic spectrum and maximally capture the genetic diversity in available crop collections. We developed a simulation approach to identify an optimal sampling strategy and core-collection size, using isozyme data from a CIP germplasm collection on an Andean tetraploid potato. Five sampling strategies, constant (C), proportional (P), logarithmic (L), square-root (S) and random (R), were tested on isozyme data from 9,396 Andean tetraploid potato accessions characterized for nine isozyme loci having a total of 38 alleles. The 9,396 accessions, though comprising 2,379 morphologically distinct accessions, were found to represent 1,910 genetically distinct groups of accessions for the nine isozyme loci using a sort-and-duplicate-search algorithm. From each group, one accession was randomly selected to form a genetically refined entire collection (GREC) of size 1,910. The GREC was used to test the five sampling strategies. To assess the behavior of the results in repeated sampling, k = 1,500 and 5,000 independent random samples (without replacement) of admissible sizes n = 50(50)1,000 for each strategy were drawn from GREC. Allele frequencies (AF) for the 38 alleles and locus heterozygosity (LH) for the nine loci were estimated for each sample. The goodness of fit of samples AF and LH with those from GREC was tested using the L² test. A core collection of size n = 600, selected using either the P or the R sampling strategy, was found adequately to represent the GREC for both AF and LH. As similar results were obtained at k = 1,500 and 5,000, it seems adequate to draw 1,500 independent random samples of different sizes to test the behavior of different sampling strategies in order to identify an appropriate sampling approach, as well as to determine an optimal core collection size.     

广西地方稻种资源核心种质构建和遗传多样性分析

以丁颖分类体系分组原则与组内逐层聚类取样方法,对8609份广西地方栽培稻资源表型数据信息进行分析,通过对表型保留比例等评价指标的多重比较确定核心种质总体取样比例,构建出占总体样本5%(414份)的广西地方栽培稻资源初级核心种质。初级核心种质能代表总体遗传变异的89%。用34对SSR分子标记对初级核心种质进行遗传多样性分析,结果表明:广西地方栽培稻资源有较高的遗传多样性(等位基因数A为4.91,Nei’s多样性指数为0.574)。就Nei’s遗传多样性指数而言,粳稻高于籼稻,晚稻高于早稻,水稻高于陆稻,糯稻高于粘稻;来自桂中的稻种资源具有最高的遗传多样性。研究最终利用SSR数据,把414份初级核心种质压缩50%后形成209份核心种质,核心种质基因保留比例达到98%以上,有效代表了广西地方栽培稻资源多样性水平。     

Genotypic and phenotypic characterization of genetic differentiation and diversity in the USDA rice mini-core collection

A rice mini-core collection consisting of 217 accessions has been developed to represent the USDA core and whole collections that include 1,794 and 18,709 accessions, respectively. To improve the efficiency of mining valuable genes and broadening the genetic diversity in breeding, genetic structure and diversity were analyzed using both genotypic (128 molecular markers) and phenotypic (14 numerical traits) data. This mini-core had 13.5 alleles per locus, which is the most among the reported germplasm collections of rice. Similarly, polymorphic information content (PIC) value was 0.71 in the mini-core which is the highest with one exception. The high genetic diversity in the mini-core suggests there is a good possibility of mining genes of interest and selecting parents which will improve food production and quality. A model-based clustering analysis resulted in lowland rice including three groups, aus (39 accessions), indica (71) and their admixtures (5), upland rice including temperate japonica (32), tropical japonica (40), aromatic (6) and their admixtures (12) and wild rice (12) including glaberrima and four other species of Oryza. Group differentiation was analyzed using both genotypic distance Fst from 128 molecular markers and phenotypic (Mahalanobis) distance D(2) from 14 traits. Both dendrograms built by Fst and D(2) reached similar-differentiative relationship among these genetic groups, and the correlation coefficient showed high value 0.85 between Fst matrix and D(2) matrix. The information of genetic and phenotypic differentiation could be helpful for the association mapping of genes of interest. Analysis of genotypic and phenotypic diversity based on genetic structure would facilitate parent selection for broadening genetic base of modern rice cultivars via breeding effort.     

Microsatellite analysis of Aegilops tauschii germplasm

The highly polymorphic diploid grass Aegilops tauschii isthe D-genome donor to hexaploid wheat and represents a potential source for bread wheat improvement. In the present study microsatellite markers were used for germplasm analysis and estimation of the genetic relationship between 113 accessions of Ae. tauschii from the gene bank collection at IPK, Gatersleben. Eighteen microsatellite markers, developed from Triticum aestivum and Ae. tauschii sequences, were selected for the analysis. All microsatellite markers showed a high level of polymorphism. The number of alleles per microsatellite marker varied from 11 to 25 and a total of 338 alleles were detected. The number of alleles per locus in cultivated bread wheat germplasm had previously been found to be significantly lower. The highest levels of genetic diversity for microsatellite markers were found in accessions from the Caucasian countries (Georgia, Armenia and the Daghestan region of Russia) and the lowest in accessions from the Central Asian countries (Uzbekistan and Turkmenistan). Genetic dissimilarity values between accessions were used to produce a dendrogram of the relationships among the accessions. The result showed that all of the accessions could be distinguished and clustered into two large groups in accordance with their subspecies taxonomic classification. The pattern of clustering of the Ae. tauschii accessions is according to their geographic distribution. The data suggest that a relatively small number of microsatellites can be used to estimate genetic diversity in the germplasm of Ae. tauschii and confirm the good suitability of microsatellite markers for the analysis of germplasm collections. Received: 8 September 1999 / Accepted: 7 October 1999     

AFLP assessment of genetic diversity among Indian Mucuna accessions

Amplified fragment length polymorphism (AFLP) marker was used to assess diversity in germplasm collection of Mucuna species which has gained tremendous attention in the recent past due to its promising nutritional, agronomic and medicinal attributes. Twenty five accessions comprising five species, collected from seven states of India were evaluated with twelve AFLP primer combinations that generated a total of 1,612 fragments with an average of 134 fragments per primer combination. The values of polymorphic information content (PIC), marker index (MI) and the resolving power (Rp) demonstrated the utility of the primer combinations used in the present study for discriminating the Mucuna accessions. UPGMA and Principal coordinate analysis (PCoA) of the genotypic data revealed clustering of accessions as per phenetic and genetic relationships. The Jaccard’s similarity coefficient values suggested good variability among the M. pruriens accessions indicating their utility in breeding programs. Molecular diversity presented in this study combined with the datasets on other morphological/agronomic traits will be highly useful for selecting appropriate accessions for plant improvement through conventional as well as molecular breeding approaches and for evolving suitable conservation strategies.     

粤东橄榄资源核心种质取样方案的研究

为研究基于分子标记数据构建橄榄(Canarium album L.)核心种质的取样方案,以粤东地区64份橄榄种质材料的ISSR分析结果为基础,分别利用SM和Nei&Li遗传距离,采用UPGMA聚类法进行多次聚类随机取样,比较了不同分组情况下P、S、L和G等取样策略对核心种质构建的影响。结果表明,通过比较不同样品群的多态性位点数、多态性位点百分率、观测等位基因数、有效等位基因数、Nei’s遗传多样性指数和Shannon’s信息指数等参数,最终选择根据Nei&Li法计算遗传距离,G策略取样得到的16个样品作为核心种质。该核心种质保留了初始种质25%的样品,多态性位点和多态性位点百分率保留率分别为92.93%和98.31%,观测等位基因数、有效等位基因数、Nei’s遗传多样性指数、Shannon’s信息指数的保留率分别为9.26%、102.56%、107.39%和106.29%。因此,按该方案进行取样的核心种质可以较好地代表原有种质库的遗传多样性。     

保留特殊种质材料的核心库构建方法

本研究提出了能保留特殊种质材料的多次聚类构建种质资源核心库方法,对种质材料的表现型数据采用合适的遗传模型及混合线性模型统计分析方法无偏预测基因型值,用基因型值构建核心库,计算材料间的马氏距离,用不加权类平均法进行聚类,根据聚类图选取材料构建核心库时,优先保留特殊遗传材料,用方差F测验、均值t测验、极差比和变异系数评价核心库代表原有种质资源群体遗传多样性的程度,以168个棉花基因型的5个纤维性状构建核心库。     

Isozyme variation in germplasm accessions of the wild oat Avena sterilis L.

Summary Optimal exploitation of crop genetic resources requires a knowledge of the range and structure of the variation present in the gene pool of interest. Avena sterilis L., the cultivated oat progenitor, contains a store of genetic diversity that is readily accessible to the oat breeder. The objectives of the present paper were: (1) to evaluate isozyme polymorphisms in a sample of A. sterilis accessions from the U.S. National Small Grains Collection, (2) to analyze the distribution of isozyme diversity across the geographic range of the accessions, (3) to classify the accessions into groups based on isozyme variation, and (4) to suggest strategies for efficient sampling of this germplasm collection. One thousand and five accessions from 23 countries and 679 collection sites were screened for variation using 23 enzyme systems. Due to limited information about the genetic relationship among individual members of families of isozymes in hexaploid oat species, data were recorded solely for band presence. The frequencies of bands in accessions from the various countries were used to calculate the probability of genotypic identity (I_x.y), the probability of a unique genotype (U_x.y), and an adjusted polymorphic index (H_x). Accessions from Turkey and Lebanon had the largest polymorphic index values, Turkish and Moroccan accessions displayed the greatest numbers of bands. Accessions from Iran, Turkey, Iraq, and Lebanon had the largest mean probabilities of containing unique genotypes. Based on isozyme data, Turkey appeared to represent the center of diversity in this germplasm collection. Band frequencies calculated among countries were used in a principal component analysis. Accessions from Israel and Morocco clustered together; accessions from Iran, Iraq, Turkey, and Ethiopia formed another group; and Algerian accessions formed an outlying group. Several isozyme bands had a regional distribution. These results suggested that choosing accessions from countries based on their groupings in the principal component analysis should secure a greater range of diversity than sampling from the collection at random. Cluster analyses based on Jaccard's distances calculated for all pairwise combinations of the 1005 accessions revealed six broad genetic groups of accessions. Groups 1 and 6 contained accessions from many countries and encompassed half of all accessions. Groups 2 and 4 were heavily populated by accessions from Israel and Morocco. Groups 3 and 5 were composed almost exclusively of accessions from Iran, Iraq, and Turkey. By selecting representative accessions from these six groups, oat breeders could most effectively sample the range of genetic variation in this A. sterilis collection.