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Marker Data (marker + data)
Kinds of Marker Data Selected AbstractsMCMC-based linkage analysis for complex traits on general pedigrees: multipoint analysis with a two-locus model and a polygenic componentGENETIC EPIDEMIOLOGY, Issue 2 2007Yun Ju Sung Abstract We describe a new program lm_twoqtl, part of the MORGAN package, for parametric linkage analysis with a quantitative trait locus (QTL) model having one or two QTLs and a polygenic component, which models additional familial correlation from other unlinked QTLs. The program has no restriction on number of markers or complexity of pedigrees, facilitating use of more complex models with general pedigrees. This is the first available program that can handle a model with both two QTLs and a polygenic component. Competing programs use only simpler models: one QTL, one QTL plus a polygenic component, or variance components (VC). Use of simple models when they are incorrect, as for complex traits that are influenced by multiple genes, can bias estimates of QTL location or reduce power to detect linkage. We compute the likelihood with Markov Chain Monte Carlo (MCMC) realization of segregation indicators at the hypothesized QTL locations conditional on marker data, summation over phased multilocus genotypes of founders, and peeling of the polygenic component. Simulated examples, with various sized pedigrees, show that two-QTL analysis correctly identifies the location of both QTLs, even when they are closely linked, whereas other analyses, including the VC approach, fail to identify the location of QTLs with modest contribution. Our examples illustrate the advantage of parametric linkage analysis with two QTLs, which provides higher power for linkage detection and better localization than use of simpler models. Genet. Epidemiol. © 2006 Wiley-Liss, Inc. [source] Parent-of-origin, imprinting, mitochondrial, and X-linked effects in traits related to alcohol dependence: Presentation Group 18 of Genetic Analysis Workshop 14GENETIC EPIDEMIOLOGY, Issue S1 2005Konstantin Strauch Abstract The participants of Presentation Group 18 of Genetic Analysis Workshop 14 analyzed the Collaborative Study on the Genetics of Alcoholism data set to investigate sex-specific effects for phenotypes related to alcohol dependence. In particular, the participants looked at imprinting (which is also known as parent-of-origin effect), differences between recombination fractions for the two sexes, and mitochondrial and X-chromosomal effects. Five of the seven groups employed newly developed or existing methods that take imprinting into account when testing for linkage, or test for imprinting itself. Single-marker and multipoint analyses were performed for microsatellite as well as single-nucleotide polymorphism markers, and several groups used a sex-specific genetic map in addition to a sex-averaged map. Evidence for paternal imprinting (i.e., maternal expression) was consistently obtained by at least two groups at genetic regions on chromosomes 10, 12, and 21 that possibly harbor genes responsible for alcoholism. Evidence for maternal imprinting (which is equivalent to paternal expression) was consistently found at a locus on chromosome 11. Two groups applied extensions of variance components analysis that model a mitochondrial or X-chromosomal effect to latent class variables and electrophysiological traits employed in the diagnosis of alcoholism. The analysis, without using genetic markers, revealed mitochondrial or X-chromosomal effects for several of these traits. Accounting for sex-specific environmental variances appeared to be crucial for the identification of an X-chromosomal factor. In linkage analysis using marker data, modeling a mitochondrial variance component increased the linkage signals obtained for autosomal loci. Genet. Epidemiol. 29(Suppl. 1):S125,S132, 2005. © 2005 Wiley-Liss, Inc. [source] A score for Bayesian genome screeningGENETIC EPIDEMIOLOGY, Issue 3 2003E. Warwick Daw Abstract Bayesian Monte Carlo Markov chain (MCMC) techniques have shown promise in dissecting complex genetic traits. The methods introduced by Heath ([1997], Am. J. Hum. Genet. 61:748,760), and implemented in the program Loki, have been able to localize genes for complex traits in both real and simulated data sets. Loki estimates the posterior probability of quantitative trait loci (QTL) at locations on a chromosome in an iterative MCMC process. Unfortunately, interpretation of the results and assessment of their significance have been difficult. Here, we introduce a score, the log of the posterior placement probability ratio (LOP), for assessing oligogenic QTL detection and localization. The LOP is the log of the posterior probability of linkage to the real chromosome divided by the posterior probability of linkage to an unlinked pseudochromosome, with marker informativeness similar to the marker data on the real chromosome. Since the LOP cannot be calculated exactly, we estimate it in simultaneous MCMC on both real and pseudochromosomes. We investigate empirically the distributional properties of the LOP in the presence and absence of trait genes. The LOP is not subject to trait model misspecification in the way a lod score may be, and we show that the LOP can detect linkage for loci of small effect when the lod score cannot. We show how, in the absence of linkage, an empirical distribution of the LOP may be estimated by simulation and used to provide an assessment of linkage detection significance. Genet Epidemiol 24:181,190, 2003. © 2003 Wiley-Liss, Inc. [source] Epistatic kinship a new measure of genetic diversity for short-term phylogenetic structures , theoretical investigationsJOURNAL OF ANIMAL BREEDING AND GENETICS, Issue 3 2006C. Flury Summary The epistatic kinship describes the probability that chromosomal segments of length x in Morgan are identical by descent. It is an extension from the single locus consideration of the kinship coefficient to chromosomal segments. The parameter reflects the number of meioses separating individuals or populations. Hence it is suggested as a measure to quantify the genetic distance of subpopulations that have been separated only few generations ago. Algorithms for the epistatic kinship and the extension of the rules to set up the rectangular relationship matrix are presented. The properties of the epistatic kinship based on pedigree information were investigated theoretically. Pedigree data are often missing for small livestock populations. Therefore, an approach to estimate epistatic kinship based on molecular marker data are suggested. For the epistatic kinship based on marker information haplotypes are relevant. An easy and fast method that derives haplotypes and the respective frequencies without pedigree information was derived based on sampled full-sib pairs. Different parameters of the sampling scheme were tested in a simulation study. The power of the method decreases with increasing segment length and with increasing number of segments genotyped. Further, it is shown that the efficiency of the approach is influenced by the number of animals genotyped and the polymorphism of the markers. It is discussed that the suggested method has a considerable potential to allow a phylogenetic differentiation between close populations, where small sample size can be balanced by the number, the length, and the degree of polymorphism of the chromosome segments considered. [source] Identification of monozygous twins and microsatellite mutation rate in pigs from QTL linkage analysis dataJOURNAL OF ANIMAL BREEDING AND GENETICS, Issue 5 2001L. Grapes In previous work, microsatellite markers have primarily been tools for genome studies. However, the use of marker data can be extended beyond its original intent to maximize the amount of information obtained. There have been few studies to determine the occurrence of monozygous (MZ) twins in pigs. The advent of DNA marker technology, and microsatellites in particular, allows MZ twins to be identified based on their genotype data. To determine if MZ twin births occur in pigs, genotypes for F2 individuals, n=525, from 65 Berkshire × Yorkshire families were examined. One pair of female twins was found to have matching genotype data (95% CI: 0,2.94 twins). This is a unique result since there have been no published reports to date of twin pigs that survived until birth. Additionally, three dinucleotide microsatellite mutations were found after screening 134 565 meioses of 125 loci spanning the entire genome and the X chromosome. The average mutation rate for the population, n=570, was 2.23 × 10,5 (95% CI: 6.17 × 10,6,6.51 × 10,5). A mutation rate similar to this was published earlier for dinucleotide repeat microsatellite mutations in swine. Identification de jumeaux monozygotes et taux de mutation des microsatellites à partir de données d, analyse de liaison avec des caractères quantitatifs Jusqu'à présent, les marqueurs microsatelittes ont été principalement utilisés comme outils pour étudier le génome. Cependant, l'utilisation des données de marquage peut être étendue au delà de ce but initial et permet d'obtenir d'autres types d'informations. Au cours des dernières années, il n'y a eu que peu d'études visant à determiner l'existence de jumeaux monozygotes (MZ) chez le porc. L'avènement des techniques de marquage de l'ADN, et plus particulièrement des microsatelittes, permet l'identification de jumeaux MZ sur la base de leur génotype aux marqueurs. Afin de déterminer s'il existe des jumeaux MZ chez le porc, nous avons examiné les génotypes d'individus F2 (n=525) issus de 65 familles Berkshire × Yorkshire. La recherche d'individus ayant un genotype identique a permis d'identifer un couple de jumeaux femelles (95% CI: 0,2.94). Il s'agit d'un résultat unique car jusqu'à ce jour, il n'y avait aucun cas publié de jumeaux ayant survécus après la naissance chez le porc. Par ailleurs, après analyse de 134 565 méioses pour 125 loci répartis sur l'ensemble du génome et sur le chromosome X, 3 mutations ont été trouvées au niveau de microsatelittes dinucleotidiques. Le taux moyen de mutation dans la population (n=570) a été estiméà 2.23 × 10,5 (95% IC: 6.17 × 10,6à 6.51 × 10,5). Un taux de mutation similaire à celui-ci a été publié précédemment pour des marqueurs microsatelittes dinucleotidiques chez le porc. [source] Diversity in five goat populations of the Lombardy Alps: comparison of estimates obtained from morphometric traits and molecular markersJOURNAL OF ANIMAL BREEDING AND GENETICS, Issue 3 2001P. Crepaldi Phenotypic and genetic variability were studied within and between the goat populations of Bionda dell'Adamello, Frisa, Orobica, Verzaschese and Val di Livo. These are populations reared for most of the year on pastures of the Lombardy Alps, numbering a minimum of 1000 and a maximum of 8000 individuals per breed. The first four are standardized breeds of recent formation; at present they are supported by the European Union measures for the conservation of rare breeds. On the basis of its visible genetic profile the Val di Livo goat may be classified as a primary population. Phenotypic variability was estimated on the basis of six somatic measurements on 60,140 adult goats per breed, whereas genetic variation was measured on the basis of 201 AFLP loci. The partition of the total molecular variation into the within and between breed components indicates that the majority of the molecular variability is conserved within populations, whereas only 8.8% can be attributed to between population variation. Morphometric and molecular marker data produced unrelated distance values and different topology of UPGMA clusters. It may be hypothesized that the morphometric originality of the Val di Livo goat is mostly determined by environmental factors and selection pressure rather than by different origin and genome evolution. Conversely Orobica seems to have diverged from the other breeds at the genome level, which may be explained by an undocumented Southern Italian origin. An objective evaluation of conservation priorities may in the near future be based on the integrated use of molecular markers and of information on quantitative traits and allelic variation with adaptive relevance. Diversité dans cinq populations de chèvres des Alpes lombardes: comparaisons entre estmations obtenues par des mesures somatiques et par des marqueurs moléculaires On a etudié la variabilité phénotypique et génétique entre et parmi les populations de chèvres Bionda dell'Adamello, Frisa, Orobica, Verzaschese et Val di Livo. Il s'agit de populations qui content entre 1000 et 8000 sujets, elevés pour la plus part de l'année sur les pâturages des Alpes de Lombardie. Les quatre premières, actuellement sauvegardées par des mesures communautaires, sont des races à standard recemment constituées. La chèvre de la Val di Livo peut être rangée parmi les races primaires. La diversité phénotypique a été montrée par un dendrogramme obtenus des distances euclidiennes calculées à partir de six mesures somatiques qui avaient été prises sur 60,140 chèvres adultes pour chaque race. La diversité génétique a été montrée par un dendrogramme bâti sur la matrice des distances de Nei obtenues des 201 marqueurs moléculaires AFLP, produits par 7 combinaisons de primers, sur 30 sujets pour chaque race. La décomposition de la variabilité génétique totale estimée par les données moléculaires a montré que la plus part de la variabilité est conservée parmi la population, tandis que seulement l,8,8% peut être imputé aux différences entre populations. Les données moléculaires et somatiques ont donné lieu à des distances qui ne sont pas corrélées et à des cluster avec une topologie nettement différente. La comparaison entre les deux approches permet d'avancer l'hypothèse que l'originalité somatique de la chèvre de la Val di Livo pourrait être due à des facteurs d'environnement et/ou à la pression de sélection plutôt qu'à des facteurs liés à l'évolution du genome. Au contraire ces derniers seraient responsables de l'originalité génétique de la race Orobica et confirmeraient des témoignages orals non documentés. Un choix objectif des ressources génétiques qui méritent d'être conservées pourra probablement se baser sur l'employ conjoint des marqueurs et de renseignements sur les caractères quantitatifs et sur les variantes alléliques des gènes qui ont une valeur adaptative. Diversität in fünf Ziegenpopulationen der lombardischen Alpen: Vergleich von Schätzungen auf der Basis morphologischer Eigenschaften und molekularer Marker Es wurden die phänotypische und genetische Variabilität innerhalb und zwischen Bionda dell'Adamello, Frisa, Orobica, Verzaschese und Val di Livo Ziegenpopulationen untersucht. Diese Populationen, mit Größen zwischen 1000 und 8000 Tieren, werden den größten Teil des Jahres auf Weiden der lombardischen Alpen gehalten. Die vier erstgenannten Populationen sind erst kürzlich standardisierte Rassen; gegenwärtig werden sie mit EU-Mitteln für die Erhaltung seltener Rassen, unterstützt. Auf der Basis des erkennbaren genetischen Profils muß die Rasse Val di Livo als eine Primärpopulation eingeordnet werden. Phänotypische Variabilität wurde auf der Basis von sechs Körpermaßen an 60,140 ausgewachsenen Ziegen je Rasse geschätzt, die genetische Variation wurde auf der Basis von 201 AFLP-Loci gemessen. Die Aufteilung der gesamten molekularen Varianz in Varianzkomponenten innerhalb und zwischen Populationen zeigt, daß der größte Teil der molekularen Variabilität innerhalb der Populationen auftritt, und nur 8,8% der Gesamtvarianz auf die Varianz zwischen den Populationen entfällt. Morphologische und molekulare Marker erzeugten unabhängige Distanzwerte und unterschiedliche upgma-Cluster. Es kann die Hypothese aufgestellt werden, daß die morphologische Einzigartigkeit der Val di Livo Ziege stärker auf Umwelteffekte und Selektionsdruck als auf eine unterschiedliche Herkunft oder genomische Evolution zurückzuführen ist. Dagegen scheint Orobica auf Genomebene von den anderen Rassen abzuweichen, was durch einen nicht dokumentierten süditalienischen Ursprung erklärt werden könnte. Eine objektive Bewertung von Prioritäten für Konservierungsmaßnahmen dürfte in Zukunft auf einen integrierten Gebrauch molekularer Marker, Informationen über quantitative Merkmale sowie der genetischen Variation bezüglich der Adaptationsfähigkeit basieren. [source] The role of genotypic diversity in determining grassland community structure under constant environmental conditionsJOURNAL OF ECOLOGY, Issue 5 2007RAJ WHITLOCK Summary 1A recent experiment varied the genetic diversity of model grassland communities under standardized soil and management conditions and at constant initial species diversity. After 5 years' growth, genetically diverse communities retained more species diversity and became more similar in species composition than genetically impoverished communities. 2Here we present the results of further investigation within this experimental system. We proposed that two mechanisms , the first invoking genetically determined and constant differences in plant phenotypes and the second invoking genotype,environment interactions , could each underpin these results. This mechanistic framework was used as a tool to interpret our findings. 3We used inter-simple sequence repeat (ISSR) DNA markers to confirm which of the individuals of six study species initially included in the model communities were unique genotypes. We then used the molecular markers to assess the survival and abundance of each genotype at the end of the 5-year experimental period. 4The DNA marker data were used to create, for the first time, a genotype abundance hierarchy describing the structure of a community at the level of genotypes. This abundance hierarchy revealed wide variation in the abundance of genotypes within species, and large overlaps in the performance of the genotypes of different species. 5Each genotype achieved a consistent level of abundance within genetically diverse communities, which differed from that attained by other genotypes of the same species. The abundance hierarchy of genotypes within species also showed consistency across communities differing in their initial level of genetic diversity, such that species abundance in genetically impoverished communities could be predicted, in part, by genotypic identity. 6Three species (including two canopy-dominants) experienced shifts in their community-level genotype abundance hierarchies that were consistent with an increased influence of genotype,environment interactions in genetically impoverished communities. 7Our results indicate that under relatively constant environmental conditions the species abundance structure of plant communities can in part be predicted from the genotypic composition of their component populations. Genotype,environment interactions also appear to shape the structure of communities under such conditions, although further experiments are needed to clarify the magnitude and mechanism of these effects. [source] The use of marker-based relationship information to estimate the heritability of body weight in a natural population: a cautionary taleJOURNAL OF EVOLUTIONARY BIOLOGY, Issue 1 2002S. C. Thomas A number of procedures have been developed that allow the genetic parameters of natural populations to be estimated using relationship information inferred from marker data rather than known pedigrees. Three published approaches are available; the regression, pair-wise likelihood and Markov Chain Monte Carlo (MCMC) sib-ship reconstruction methods. These were applied to body weight and molecular data collected from the Soay sheep population of St. Kilda, which has a previously determined pedigree. The regression and pair-wise likelihood approaches do not specify an exact pedigree and yielded unreliable heritability estimates, that were sensitive to alteration of the fixed effects. The MCMC method, which specifies a pedigree prior to heritability estimation, yielded results closer to those determined using the known pedigree. In populations of low average relationship, such as the Soay sheep population, determination of a reliable pedigree is more useful than indirect approaches that do not specify a pedigree. [source] Evacuation of pelleted feed and the suitability of titanium(IV) oxide as a feed marker for gut kinetics in Nile tilapiaJOURNAL OF FISH BIOLOGY, Issue 5 2003H. Richter The present study assessed the suitability of titanium(IV) oxide, TiO2, as a digesta passage marker in Nile tilapia Oreochromis niloticus and studied the shape of the evacuation curve in this species. In three separate trials, fish were given one dose of either 0·5, 0·25 or 0·1% of their body mass (% BME) of feed marked with 1% TiO2 or 0·5% BME of the same feed without marker. The fish were serially slaughtered at intervals after feeding and the stomach contents analysed for dry mass and marker content. The data for individual trials were analysed with the linear, square root, surface area and exponential evacuation models and parameter comparisons showed that, although the marker interfered slightly with the evacuation process, true meal size could be predicted more accurately from the marker data. The results of an analysis of the combined data sets suggested that stomach evacuation in this species is dependent more on food particle surface area (surface area model) than on stomach content mass (exponential model) as is generally assumed. On the basis of these results, it was concluded that TiO2 at an inclusion level of 1% is an acceptable marker for quantifying evacuation with a view to predicting food consumption but should be used with caution in digestibility studies. [source] Phenotypic Reaction and Genetic Analysis Using AFLP-derived SCARs for Resistance to Apple ScabJOURNAL OF PHYTOPATHOLOGY, Issue 5 2004E. M. Huaracha Abstract Six sequence-characterized amplified region (SCAR) markers linked to the apple scab resistance gene Vf were evaluated for their utility in marker-assisted selection (MAS) in apple breeding. Of the six SCARs used in this study, ACS-6 was located left of the Vf gene, ACS-7 and ACS-9 co-segregated with Vf, and ACS-8, ACS-4, ACS-5 were located right of the Vf gene. Three families derived from crosses between scab-resistant and scab-susceptible cultivars, including ,Liberty' × ,Deljub', ,Liberty' × ,Delcorf', and ,Florina' ×,Delcorf', previously screened for scab resistance following greenhouse inoculation with the fungal pathogen Venturia inaequalis, were genotyped and compared with phenotypic reactions to scab infection in the field. For each family, a subset progeny of 30 seedlings (propagated onto Malling 9 rootstock and of 7 years old) was selected based on fungal sporulation according to the following scheme. Ten seedlings with no visible scab sporulation on leaves were given phenotypic scores of 0 (deemed resistant); 10 seedlings with moderate scab sporulation were given phenotypic scores of 1.0 (deemed moderately resistant); and 10 seedlings with heavy sporulation were given phenotypic scores of 2.0 (deemed susceptible). DNA was isolated from leaf tissue collected from all 90 seedlings, parents and Malus floribunda 821, the original source of the Vf gene, and screened with all six SCARs. All six SCARs were present in the two scab-resistant parents, ,Liberty' and ,Florina', and M. floribunda 821; while, the two scab-susceptible parents, ,Deljub' and ,Delcorf', lacked all SCARs. All SCARs were either present or absent in varying numbers of seedlings in each progeny with phenotypic ratings of either 0 (resistant) or 1.0 (moderately resistant); while all seedlings with phenotypic ratings of 2.0 (susceptible) lacked all SCARs. The inconsistencies between phenotypic scab ratings and SCAR marker data are discussed. [source] Bayesian identification of admixture events using multilocus molecular markersMOLECULAR ECOLOGY, Issue 10 2006JUKKA CORANDER Abstract Bayesian statistical methods for the estimation of hidden genetic structure of populations have gained considerable popularity in the recent years. Utilizing molecular marker data, Bayesian mixture models attempt to identify a hidden population structure by clustering individuals into genetically divergent groups, whereas admixture models target at separating the ancestral sources of the alleles observed in different individuals. We discuss the difficulties involved in the simultaneous estimation of the number of ancestral populations and the levels of admixture in studied individuals' genomes. To resolve this issue, we introduce a computationally efficient method for the identification of admixture events in the population history. Our approach is illustrated by analyses of several challenging real and simulated data sets. The software (baps), implementing the methods introduced here, is freely available at http://www.rni.helsinki.fi/~jic/bapspage.html. [source] How to use molecular marker data to measure evolutionary parameters in wild populationsMOLECULAR ECOLOGY, Issue 7 2005DANY GARANT Abstract Estimating the genetic basis of phenotypic traits and the selection pressures acting on them are central to our understanding of the evolution and conservation of wild populations. However, obtaining such evolutionary-related parameters is not an easy task as it requires accurate information on both relatedness among individuals and their breeding success. Polymorphic molecular markers are very useful in estimating relatedness between individuals and parentage analyses are now extensively used in most taxa. The next step in the application of molecular data to wild populations is to use them to derive estimates of evolutionary-related parameters for quantitative traits, such as quantitative genetic parameters (e.g. heritability, genetic correlations) and measures of selection (e.g. selection gradients). Despite their great appeal and potential, the optimal use of molecular tools is still debated and it remains unclear how they should best be used to obtain reliable estimates of evolutionary parameters in the wild. Here, we review the methods available for estimating quantitative genetic and selection parameters and discuss their merits and shortcomings, to provide a tool that summarizes the potential uses of molecular data to obtain such parameters in wild populations. [source] Does natural selection promote population divergence?MOLECULAR ECOLOGY, Issue 12 2002A comparative analysis of population structure using amplified fragment length polymorphism markers, quantitative traits Abstract Divergent natural selection is considered an important force in plant evolution leading to phenotypic differentiation between populations exploiting different environments. Extending an earlier greenhouse study of population differentiation in the selfing annual plant Senecio vulgaris, we estimated the degree of population divergence in several quantitative traits related to growth and life history and compared these estimates with those based on presumably neutral molecular markers (amplified fragment length polymorphisms; AFLPs). This approach allowed us to disentangle the effects of divergent selection from that of other evolutionary forces (e.g. genetic drift). Five populations were examined from each of two habitat types (ruderal and agricultural habitats). We found a high proportion of total genetic variance to be among populations, both for AFLP markers (,ST = 0.49) and for quantitative traits (range of QST: 0.26,0.77). There was a strong correlation between molecular and quantitative genetic differentiation between pairs of populations (Mantel's r = 0.59). However, estimates of population differentiation in several quantitative traits exceeded the neutral expectation (estimated from AFLP data), suggesting that divergent selection contributed to phenotypic differentiation, especially between populations from ruderal and agricultural habitats. Estimates of within-population variation in AFLP markers and quantitative genetic were poorly correlated, indicating that molecular marker data may be of limited value to predict the evolutionary potential of populations of S. vulgaris. [source] sofsog: a suite of programs to avoid inbreeding in plantation designsMOLECULAR ECOLOGY RESOURCES, Issue 2 2010J. FERNÁNDEZ Abstract Cost-effective ways of controlling inbreeding in conservation or productive plantations imply the allocation of individuals reducing the possibility of close relatives' mating and, consequently, limiting inbreeding. sofsog is a suite of programs, which helps to design plantation sites. First, if the plantation scheme involves several plots, it allows distribution of individuals available among different sites minimizing within-site global coancestry. Then, it yields a plantation design for each site, either following the classical permutated neighbourhood strategy or the recently developed method by Fernández and González-Martínez. This new method allows the implementation of different pollen dispersion kernels, and to include in the designing strategy any available information on individual relationships, reproductive success, differences in phenology, etc., via weighting or penalization matrices. Additionally, the package includes a tool for calculating the molecular coancestry (Identity By State) from codominant marker data. [source] convert: A user-friendly program to reformat diploid genotypic data for commonly used population genetic software packagesMOLECULAR ECOLOGY RESOURCES, Issue 2 2004Jeffrey C. Glaubitz Abstract convert is a user-friendly, 32-bit Windows program that facilitates ready transfer of codominant, diploid genotypic data amongst commonly used population genetic software packages. convert reads input files in its own ,standard' data format, easily produced from an excel file of diploid, codominant marker data, and can convert these to the input formats of the following programs: gda, genepop, arlequin, popgene, microsat, phylip, and structure. convert can also read input files in genepop format. In addition, convert can produce a summary table of allele frequencies in which private alleles and the sample sizes at each locus are indicated. [source] delrious: a computer program designed to analyse molecular marker data and calculate delta and relatedness estimates with confidenceMOLECULAR ECOLOGY RESOURCES, Issue 3 2001J. Stone Abstract The computer program delrious analyses molecular marker data and calculates delta and relatedness estimates. A computer simulation is presented in which delrious is used to determine relations between relatedness estimate confidence and locus number. The results obtained suggest that many kinship studies probably have been conducted at significance levels less than 95%. Confidence measures provide a means of assessing reliability of calculated parameters and, therefore, would be beneficial to kinship hypothesis testing. Consequently, resampling procedures should be conducted routinely to determine delta and relatedness estimate confidence. delrious can implement bootstrap and jackknife resampling procedures for this purpose. [source] Genetic diversity revealed by morphological traits and ISSR markers in hazelnut germplasm from northern SpainPLANT BREEDING, Issue 4 2010J. J. Ferreira With 3 figures and 4 tables Abstract Hazelnut (Corylus avellana L.) has been a traditional crop in northern Spain. As a result of germplasm exploration over 3 years (2003,05), 90 trees were selected in this region. This study describes phenotypic variation in nut and husk traits and investigates genetic relationships among selections and cultivars using inter simple sequences repeat (ISSR) markers. The local selections were phenotypically diverse and many had characteristics appreciated by the market. Eleven ISSR primers, which generated 66 polymorphic bands, were used in the analysis. The graph from principal coordinates analysis of the molecular marker data showed two main groups, one for the local selections and the other for the standard cultivars. The dendrogram generated from UPGMA cluster analysis showed the same two main groups. The results suggest that the local accessions are closely related to each other, but are relatively distant from the standard cultivars of eastern Spain, Italy and the USA. Selections from northern Spain may be directly useful as new cultivars or alternatively as parents in breeding programmes. The collection and preservation of this genetic diversity is important. [source] Molecular marker-based pedigrees for animal conservation biologistsANIMAL CONSERVATION, Issue 1 2010O. R. Jones Abstract Pedigrees, depicting the genealogical relationships between individuals in a population, are of fundamental importance to several research areas including conservation biology. For example, they are useful for estimating inbreeding, heritability, selection, studying kin selection and for measuring gene flow between populations. Pedigrees constructed from direct observations of reproduction are usually unavailable for wild populations. Therefore, pedigrees for these populations are usually estimated using molecular marker data. Despite their obvious importance, and the fact that pedigrees are conceptually well understood, the methods, and limitations of marker-based pedigree inference are often less well understood. Here we introduce animal conservation biologists to molecular marker-based pedigrees. We briefly describe the history of pedigree inference research, before explaining the underlying theory and basic mechanics of pedigree construction using standard methods. We explain the assumptions and limitations that accompany many of these methods, before going on to explain methods that relax several of these assumptions. Finally, we look to future and discuss some recent exciting advances such as the use of single-nucleotide polymorphisms, inference of multigenerational pedigrees and incorporation of non-genetic data such as field observations into the calculations. We also provide some guidelines on efficient marker selection in order to maximize accuracy and power. Throughout we use examples from the field of animal conservation and refer readers to appropriate software where possible. It is our hope that this review will help animal conservation biologists to understand, choose, and use the methods and tools of this fast-moving field. [source] Identifying Modifier Loci in Existing Genome Scan DataANNALS OF HUMAN GENETICS, Issue 5 2008E. W. Daw Summary In many genetic disorders in which a primary disease-causing locus has been identified, evidence exists for additional trait variation due to genetic factors. These findings have led to studies seeking secondary ,modifier' loci. Identification of modifier loci provides insight into disease mechanisms and may provide additional screening and treatment targets. We believe that modifier loci can be identified by re-analysis of genome screen data while controlling for primary locus effects. To test this hypothesis, we simulated multiple replicates of typical genome screening data on to two real family structures from a study of hypertrophic cardiomyopathy. With this marker data, we simulated two trait models with characteristics similar to one measure of hypertrophic cardiomyopathy. Both trait models included 3 genes. In the first, the trait was influenced by a primary gene, a secondary ,modifier' gene, and a third very small effect gene. In the second, we modeled an interaction between the first two genes. We examined power and false positive rates to map the secondary locus while controlling for the effect of the primary locus with two types of analyses. First, we examined Monte Carlo Markov chain (MCMC) simultaneous segregation and linkage analysis as implemented in Loki, for which we calculated two scoring statistics. Second, we calculated LOD scores using an individual-specific liability class based on the quantitative trait value. We found that both methods produced scores that are significant on a genome-wide level in some replicates. We conclude that mapping of modifier loci in existing samples is possible with these methods. [source] | ||||||||||||||||||||||