Unigene-Derived Microsatellite Marker Based Variation Study of Phytophthora nicotianae Isolates Infecting Citrus

Unigene sequence in public database provides a cost-effective and valuable source, for the development of microsatellite markers also known as unigene-derived microsatellite (UGMS) markers. In our study, genetic variation among 24 Phytophthora nicotianae isolates from five major citrus growing states of India were analysed through UGMS markers. Morphological and clustering results indicated variation among these Phytophthora nicotianae were independent of its geographical confinement and showed 62.27% polymorphism. The study also validated the potential use of UGMS markers.     

Machine Learning Based Classification of Microsatellite Variation: An Effective Approach for Phylogeographic Characterization of Olive Populations

Finding efficient analytical techniques is overwhelmingly turning into a bottleneck for the effectiveness of large biological data. Machine learning offers a novel and powerful tool to advance classification and modeling solutions in molecular biology. However, these methods have been less frequently used with empirical population genetics data. In this study, we developed a new combined approach of data analysis using microsatellite marker data from our previous studies of olive populations using machine learning algorithms. Herein, 267 olive accessions of various origins including 21 reference cultivars, 132 local ecotypes, and 37 wild olive specimens from the Iranian plateau, together with 77 of the most represented Mediterranean varieties were investigated using a finely selected panel of 11 microsatellite markers. We organized data in two ‘4-targeted’ and ‘16-targeted’ experiments. A strategy of assaying different machine based analyses (i.e. data cleaning, feature selection, and machine learning classification) was devised to identify the most informative loci and the most diagnostic alleles to represent the population and the geography of each olive accession. These analyses revealed microsatellite markers with the highest differentiating capacity and proved efficiency for our method of clustering olive accessions to reflect upon their regions of origin. A distinguished highlight of this study was the discovery of the best combination of markers for better differentiating of populations via machine learning models, which can be exploited to distinguish among other biological populations.     

Spatial Distribution of Genetic Variation in a Natural Beech Stand (Fagus sylvaticaL.) Based on Microsatellite Markers

The spatial distribution of alleles is described in a naturally regenerated, isolated pure beech (Fagus sylvaticaL.) stand consisting of 99 adult trees. After testing nine microsatellite loci originally developed for F. crenata, each tree was genotyped at four well-scorable microsatellite loci. Specific primers were developed for one locus of F. sylvaticaL. For the characterization of spatial genetic structures, two different statistics were used. One method is based on the mean genetic distance between trees in different spatial distance classes, and the other one is Moran's index I. The results show the same tendency of a strong family structure in the distance classes up to 30m in comparison with that expected for a spatially non-systematic distribution of genotypes. In general, microsatellites are more useful to detect spatial genetic structures than allozymes. Spatial genetic structures are influenced by unpredictable factors such as wind direction at anthesis and can therefore vary from year to year. We recommend that seed collections should cover large areas in order to prevent a preponderance of few families and a reduction of the adaptive potential of the next generation.     

Microsatellite Variation in Red-Winged Blackbirds (Agelaius phoeniceus)

Territorial male red-winged blackbirds from five locations in the United States and Canada were genotyped using a suite of six microsatellite loci. Each population possessed unique alleles, but numbers of alleles per locus (range = 7.3-8.8) and expected multilocus heterozygosities (range = 0.76-0.80) were similar in all populations. Significant overall allele frequency differences were detected between some population pairs, and some pairwise Fst values were significant (but small). However, Fst among populations, although significant, was also small (0.009). Despite revealing low levels of population structure, the high multilocus polymorphism indicates these loci will be valuable in the genetic analysis of behavior and reproductive strategies in this species.     

基于转录组测序的大熊猫多态性微卫星标记筛选

结合已公布的大熊猫Ailuropoda melanoleuca基因组和本实验室所测6只大熊猫的转录组数据,筛选多态性微卫星位点并分析其组成及特征。结果显示:共获得326个多态性微卫星位点,其中二碱基多态性微卫星最多,共228个,占69.93%;三、四、五、六碱基所占比例分别为9.51%、14.11%、5.21%、1.22%。根据分析结果中缺失率与标准差2项指标以及位点序列长度,选取20个多态性二碱基微卫星位点,用于25只大熊猫个体血液DNA进行PCR验证并做后续分析。结果表明:不同位点的等位基因数为2～8,平均等位基因数为3.70,观测杂合度、期望杂合度分别为0～1.000、0.280～0.784,平均值分别为0.472和0.532。在Bonferroni校正后,证实4个位点显著偏离哈迪-温伯格平衡,所有位点未观察到显著连锁不平衡(P>0.01)。20个位点多态信息含量(PIC)在0.246～0.734,其中具有高度多态性的位点9个(PIC>0.50),11个位点呈中度多态性(0.25相似文献   

Microsatellite Variation in Populations of Atlantic Salmon from North Europe

Our aim was to investigate the level of genetic differentiation in northern European populations of Atlantic salmon, to establish the genetic relationship among major salmon populations in Russia and North Norway, and to compare these to populations from the western Atlantic lineage. Samples were collected along an east—west axis, from Pechora River in Russia to Restigouche River in Quebec, Canada. A total of 439 individual salmon were collected from seven rivers (sample sizes from 50 to 84 individuals). The samples were analysed for variation at four microsatellite loci; Ssa13.37, Ssa14, Ssa171 and Ssa171. Significant differences were found between most of the European populations, and the populations from the Tana and Pechora Rivers were most distinct. The samples from the Rivers Mezenskaya Pizhma and Emtsa in Arkhangelsk oblast in Russia were not significantly different from each other in an exact test of population differences. All other river pairs were significantly different. These results confirmed the deep genetic divergence between American and European salmon populations demonstrated in earlier studies, with alleles specific to continent found in three of the microsatellites.     

Diagnosing Manufacturing Variation Using Second-Order and Fourth-Order Statistics

This article discusses a method that can aid in diagnosing root causes of product and process variability in complex manufacturing processes, when large amounts of multivariate in-process measurement data are available. A linear structured model, similar to the standard factor analysis model, is used to generically represent the variation patterns that result from the root causes. Blind source separation techniques form the basis for identifying the precise characteristics of each individual variation pattern in order to facilitate the identification of their root causes. The second-order and fourth-order statistics that are used in various blind separation algorithms are combined in an optimal manner to form a more effective and black-box method with wider applicability.     

猪线粒体控制区微卫星(mtMs)变异及其分布特征

猪线粒体DNA长度因D-loop中mtMs序列重复数变异而不同。为阐明猪mtMs变异及其在不同群体中的分布特征,本研究对4个藏猪群体、八眉猪、烟台黑猪及3个引入猪群体共164个个体mtDNA D-loop全序进行测定,并与GenBank中发表的相关序列进行比对,分析了其中的重复单元核苷酸变异、重复次数及其在各群体间的分布规律。结果表明,因重复单元“5’-TGCGTACACG-3’”第2~4和10位上碱基变异,猪mtMs形成了以其为核心序列的多种重复单元(R^A^R^G)组成的复合结构,重复数介于3~47之间。单一重复(R^A)组成的mtMs结构在各群体中表现出分布优势,而大多数复合结构(R^AR^B)分布在国外选育群体中。藏猪的mtMs复合结构多达8个,R^AR^CR^E为其特有,另有5个与八眉猪共享。中国野猪和韩国地方猪种也有其特有mtMs结构。丰富的mtMs变异和特有结构与长期适应进化有关,本研究为地方猪种遗传资源及适应性研究提供了标记工具和理论基础。     

利用微卫星遗传标记对恒河猴进行遗传同质性分群的探索

目的探索建立利用微卫星遗传标记对中国恒河猴免疫遗传学同质性分群的方法。方法根据已报道的中国恒河猴和印度恒河猴微卫星标记和与MHC基因高度连锁的微卫星遗传标记,对52只恒河猴进行了微卫星检测和遗传同质性分群。结果依据判断标准,可以将检测的恒河猴分为印度恒河猴,中国恒河猴和无法判定来源的恒河猴3个地理类别,并根据MHC附近的微卫星遗传标记将其分为若干MHC基因相同的同质性群体。结论此方法的建立将有利于恒河猴参与的实验分组,也为恒河猴繁殖管理提供了参考。     

Microsatellite Analysis of Genetic Variation and Population Subdivision for the Black Muntjac, Muntiacus crinifrons

The black muntjac (Muntiacus crinifrons) is a rare deer found only in a restricted region in east China. Recent studies of mitochondrial DNA diversity have shown a markedly low level of nucleotide diversity for the species, and the Suichang population was genetically differentiated from the two other populations, in Huangshan and Tianmushan mountains. In this study, we extended the analysis of genetic diversity and population subdivision for the black muntjac using data from 11 highly polymorphic nuclear DNA microsatellite loci. Contrary to the results based on mtDNA data, the microsatellite loci revealed that the black muntjac retained a rather high nuclear genetic diversity (overall average H (E) = 0.78). Nevertheless, both types of markers supported the idea that the extant black muntjac population is genetically disrupted (overall phi (ST) = 0.16 for mtDNA and overall F (ST) = 0.053 for microsatellite, both P < 0.001). The correlation between genetic differentiation and geographic distance was not significant (Mantel test; P > 0.05), implying that the patterns of genetic differentiation observed in this study might result from recent habitat fragmentation or loss. Based on the results from the mtDNA and nuclear DNA data sets, two management units were defined for the species, Huangshan/Tianmushan and Suichang. We also recommend that a new captive population be established with individuals from the Suichang region as a founder source.     

Meta-analysis of Gene-Level Associations for Rare Variants Based on Single-Variant Statistics

Meta-analysis of genome-wide association studies (GWASs) has led to the discoveries of many common variants associated with complex human diseases. There is a growing recognition that identifying “causal” rare variants also requires large-scale meta-analysis. The fact that association tests with rare variants are performed at the gene level rather than at the variant level poses unprecedented challenges in the meta-analysis. First, different studies may adopt different gene-level tests, so the results are not compatible. Second, gene-level tests require multivariate statistics (i.e., components of the test statistic and their covariance matrix), which are difficult to obtain. To overcome these challenges, we propose to perform gene-level tests for rare variants by combining the results of single-variant analysis (i.e., p values of association tests and effect estimates) from participating studies. This simple strategy is possible because of an insight that multivariate statistics can be recovered from single-variant statistics, together with the correlation matrix of the single-variant test statistics, which can be estimated from one of the participating studies or from a publicly available database. We show both theoretically and numerically that the proposed meta-analysis approach provides accurate control of the type I error and is as powerful as joint analysis of individual participant data. This approach accommodates any disease phenotype and any study design and produces all commonly used gene-level tests. An application to the GWAS summary results of the Genetic Investigation of ANthropometric Traits (GIANT) consortium reveals rare and low-frequency variants associated with human height. The relevant software is freely available.     

Population Structure and Stock Identification of Steelhead Trout (Oncorhynchus mykiss) in British Columbia and the Columbia River Based on Microsatellite Variation

Variation at 13 microsatellite loci was surveyed from ～3 800 steelhead trout, Oncorhynchus mykiss, from 51 populations in British Columbia, Washington, and the Columbia River drainage. Mean F_ST over all 13 loci and 51 populations was 0.066. Regional structuring of populations was apparent, with Thompson River, upper Fraser River, and Columbia River populations forming distinct groups. In the Nass River, winter-run populations were distinct from the summer-run populations. Significant differences in allele frequencies were observed among regional stock groups at all loci. Analysis of variance components indicated that 5.7% of the total observed variation was distributed among 11 regions, and 2.3% of the variation was among populations within regions. Analysis of simulated mixed-stock samples suggested that variation at the microsatellite loci provided relatively accurate and precise estimates of stock composition for fishery management applications, and this was confirmed by application to actual fishery samples of known origin. Within the Fraser River drainage, individual steelhead trout can be identified to one of the three regions of origin with an accuracy of 94–97%. Microsatellites provided an effective way to determine population structure, and provided reliable estimates of stock composition in mixed-stock fisheries.     

异源四倍体鲫鲤及其原始亲本遗传变异的微卫星标记分析

采用从鲤中分离出来的32对微卫星DNA标记,对异源四倍体鲫鲤、红鲫和野鲤的基因组DNA进行了研究。在筛选出的15对微卫星引物中,随引物不同,各等位基因数为1～8个,大小在100～420bp之间。从3个不同群体内部的遗传相似系数来看,异源四倍体鲫鲤个体之间的遗传相似系数最大,说明异源四倍体鲫鲤群体内部的遗传变异程度最低,已经形成了一个遗传性状稳定的群体。从3个不同群体之间的遗传相似系数来看,异源四倍体鲫鲤和红鲫遗传相似系数为0．5625,和野鲤的遗传相似系数为0．5125,说明异源四倍体鲫鲤接受原始母本的遗传物质比原始父本野鲤要多一些。微卫星标记与以前报道的RAPD标记的检测结果是相似的,然而由微卫星标记获得的种群内和种群间的遗传距离均大于RAPD,说明微卫星标记比RAPD标记显示出更高的个体多态性。     

Microsatellite Variation in Two Populations of Free-Ranging Yellow Baboons (Papio hamadryas cynocephalus)

We investigated genetic variation at six microsatellite (simple sequence repeat) loci in yellow baboons (Papio hamadryas cynocephalus) at two localities: the Tana River Primate Reserve in eastern Kenya and Mikumi National Park, central Tanzania. The six loci (D1S158, D2S144, D4S243, D5S1466, D16S508, and D17S804) were all originally cloned from and characterized in the human genome. These microsatellites are polymorphic in both baboon populations, with the average heterozygosity across loci equal to 0.731 in the Tana River sample and 0.787 in the Mikumi sample. The genetic differentiation between the two populations is substantial. Kolmogornov–Smirnov tests indicate that five of the six loci are significantly different in allele frequencies in the two populations. The mean F _ST across loci is 0.069, and Shriver's measure of genetic distance, which was developed for microsatellite loci (Shriver et al., 1995), is 0.255. This genetic distance is larger than corresponding distances among human populations residing in different continents. We conclude that (a) the arrays of alleles present at these six microsatellite loci in two geographically separated populations of yellow baboons are quite similar, but (b) the two populations exhibit significant differences in allele frequencies. This study illustrates the potential value of human microsatellite loci for analyses of population genetic structure in baboons and suggests that this approach will be useful in studies of other Old World monkeys.     

Coalescence time for two genes from a subdivided population

In this paper a new form of the solution for the Laplace transform and moments of the distribution of the waiting time for two genes to coalescence is presented. The two genes are sampled from a subdivided population where migration rates between populations are constant in time. Equal subpopulation size is not assumed. For the special case of an island model with equal migration rates between islands, the Laplace transform of the coalescence time and the first and second moments are found explicitly. The new form of the solutions allows numerical calculation. The connection of how the results relate to a panmictic population when migration rates are large is illustrated using strong-migration-limit theory. Received: 19 April 1999 / Revised version: 22 March 2001 / Published online: 19 September 2001     

Microsatellite Variation Among Red Snapper (Lutjanus campechanus) from the Gulf of Mexico

Allelic variation at a total of 20 nuclear-encoded microsatellites was examined among adult red snapper (Lutjanus campechanus) sampled from 4 offshore localities in the Gulf of Mexico. The number of alleles at the 20 microsatellites ranged from 5 to 20; average (± SE) direct count heterozygosity values ranged from 0.148 ± 0.025 to 0.902 ± 0.008. No significant departures from expectations of Hardy-Weinberg equilibrium were found for any locus within samples, and genotypes at pairs of microsatellites appeared to be randomly associated, i.e., in genotypic equilibrium. Tests of homogeneity in allele distributions among the 4 localities were nonsignificant for 19 of the microsatellites. Allele distribution at microsatellite Lca 43 was heterogeneous among localities before (but not after) Bonferroni corrections for multiple tests executed simultaneously. Tests of homogeneity in the distribution of individual alleles at Lca 43 gave similar results: one low frequency allele was distributed heterogeneously among samples before, but not after, Bonferroni correction. Molecular analysis of variance indicated that more than 99% of variation at each microsatellite was distributed within sample localities. These results generally are consistent with the hypothesis of a single population (stock) of red snapper in the northern Gulf of Mexico. Received September 25, 2000; accepted January 16, 2001     

Population Structure of Alaskan Shortraker Rockfish, Sebastes borealis, Inferred from Microsatellite Variation

Alaskan shortraker rockfish population structure was analyzed by examining allelic variation at eight microsatellite loci. Samples were collected along the continental shelf and upper slope from the south end of Baranof Island to the western Aleutian Islands, and collections were pooled into eight geographically distinct groups. An exact test of homogeneity indicated population structure (p < 0.0006) among groups. The proportion of the total variation that was attributable to divergence among populations (θ = 0.0014) was not statistically significant, and no evidence of a geographic cline of structure was detected. Finer scale analyses that compared adjacent collections indicated that the collection from the southern end of the range differed from all remaining collections at three loci. Structure related to geographic location was detected by partitioning the variation among populations. The size distributions of shortraker rockfish varied among collections from east to west. The size differences may reflect divergent oceanographic and biological factors acting on populations that have restricted migration and movement. Alternatively, if there is substantial movement accompanied by lengthy reverse migration to natal grounds, the size differences may be related to ages of cohorts that are differentially distributed along the Pacific Rim. Further biological information including size, age composition, and age of maturity data, as well as information on other life history characteristics will be required to explain shortraker rockfish population structure.     

Microsatellite Analysis of Genetic Variation and Population Genetic Differentiation in Autotetraploid and Diploid Rice

Genetic diversity and population genetic structure of autotetraploid and diploid populations of rice collected from Chengdu Institute of Biology, Chinese Academy of Sciences, were studied based on 36 microsatellite loci. Among 50 varieties, a moderate to high level of genetic diversity was observed at the population level, with the number of alleles per locus (A _e) ranging from 2 to 6 (mean 3.028) and polymorphism information content ranging from 0.04 to 0.76 (mean 0.366). The expected heterozygosity (H _e) varied from 0.04 to 0.76 (mean 0.370) and Shannon’s index (I) from 0.098 to 1.613 (mean 0.649). The autotetraploid populations showed slightly higher levels of A _e, H _e, and I than the diploid populations. Rare alleles were observed at most of the simple sequence repeat loci in one or more of the 50 accessions, and a core fingerprint database of the autotetraploid and diploid rice was constructed. The F-statistics showed genetic variability mainly among autotetraploid populations rather than diploid populations (F _st = 0.066). Cluster analysis of the 50 accessions showed four major groups. Group I contained all of the autotetraploid and diploid indica maintainer lines and an autotetraploid and its original diploid indica male sterile lines. Group II contained only the original IR accessions. Group III was more diverse than either Group II or Group IV, comprising both autotetraploid and diploid indica restoring lines. Group IV included a japonica cluster of the autotetraploid and diploid rices. Furthermore, genetic differences at the single-locus and two-locus levels, as well as components due to allelic and gametic differentiation, were revealed between autotetraploid and diploid varieties. This analysis indicated that the gene pools of diploid and autotetraploid rice were somewhat dissimilar, as variation exists that distinguishes autotetraploid from diploid rices. Using this variation, we can breed new autotetraploid varieties with some important agricultural characters that were not found in the original diploid rice varieties.