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      Development of microsatellite markers for the endangered grassland species Vincetoxicum pycnostelma (Apocynaceae) by using next-generation sequencing technology

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          Statistical confidence for likelihood-based paternity inference in natural populations.

          Paternity inference using highly polymorphic codominant markers is becoming common in the study of natural populations. However, multiple males are often found to be genetically compatible with each offspring tested, even when the probability of excluding an unrelated male is high. While various methods exist for evaluating the likelihood of paternity of each nonexcluded male, interpreting these likelihoods has hitherto been difficult, and no method takes account of the incomplete sampling and error-prone genetic data typical of large-scale studies of natural systems. We derive likelihood ratios for paternity inference with codominant markers taking account of typing error, and define a statistic delta for resolving paternity. Using allele frequencies from the study population in question, a simulation program generates criteria for delta that permit assignment of paternity to the most likely male with a known level of statistical confidence. The simulation takes account of the number of candidate males, the proportion of males that are sampled and gaps and errors in genetic data. We explore the potentially confounding effect of relatives and show that the method is robust to their presence under commonly encountered conditions. The method is demonstrated using genetic data from the intensively studied red deer (Cervus elaphus) population on the island of Rum, Scotland. The Windows-based computer program, CERVUS, described in this study is available from the authors. CERVUS can be used to calculate allele frequencies, run simulations and perform parentage analysis using data from all types of codominant markers.
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            msatcommander: detection of microsatellite repeat arrays and automated, locus-specific primer design.

            msatcommander is a platform-independent program designed to search for microsatellite arrays, design primers, and tag primers using an automated routine. msatcommander accepts as input DNA sequence data in single-sequence or concatenated, fasta-formatted files. Search data and locus-specific primers are written to comma-separated value files for subsequent use in spreadsheet or database programs. Binary versions of the graphical interface for msatcommander are available for Apple OS X and Windows XP. Users of other operating systems may run the graphical interface version using the available source code, provided their environment supports at least Python 2.4, Biopython 1.43, and wxPython 2.8. msatcommander is available from http://code.google.com/p/msatcommander/. © 2007 The Author.
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              Morphological aspects and phylogenetic analyses of pollination systems in the Tylophora-Vincetoxicum complex (Apocynaceae-Asclepiadoideae) in Japan

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                Author and article information

                Journal
                Conservation Genetics Resources
                Conservation Genet Resour
                Springer Nature
                1877-7252
                1877-7260
                September 2012
                March 2012
                : 4
                : 3
                : 669-671
                Article
                10.1007/s12686-012-9619-4
                99e93992-f82f-45e5-90cb-849e0c2f3d16
                © 2012
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