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      Geographic and Genetic Population Differentiation of the Amazonian Chocolate Tree ( Theobroma cacao L)

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          Abstract

          Numerous collecting expeditions of Theobroma cacao L. germplasm have been undertaken in Latin-America. However, most of this germplasm has not contributed to cacao improvement because its relationship to cultivated selections was poorly understood. Germplasm labeling errors have impeded breeding and confounded the interpretation of diversity analyses. To improve the understanding of the origin, classification, and population differentiation within the species, 1241 accessions covering a large geographic sampling were genotyped with 106 microsatellite markers. After discarding mislabeled samples, 10 genetic clusters, as opposed to the two genetic groups traditionally recognized within T. cacao, were found by applying Bayesian statistics. This leads us to propose a new classification of the cacao germplasm that will enhance its management. The results also provide new insights into the diversification of Amazon species in general, with the pattern of differentiation of the populations studied supporting the palaeoarches hypothesis of species diversification. The origin of the traditional cacao cultivars is also enlightened in this study.

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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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            Speciation in amazonian forest birds.

            J Haffer (1969)
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              Phylogenetic Analysis: Models and Estimation Procedures

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2008
                1 October 2008
                : 3
                : 10
                : e3311
                Affiliations
                [1 ]National Germplasm Repository, US Department of Agriculture, Agricultural Research Service, Subtropical Horticulture Research Station, Miami, Florida, United States of America
                [2 ]MARS Inc., Hackettstown, New Jersey, United States of America
                [3 ]CIRAD-Bios, UPR “Bioagresseurs de pérennes”, TA-A31/02, Montpellier, France
                [4 ]CEPLAC/SUPOR (AMAZONIA), Belem-Pa, Brazil
                [5 ]INIAP, Estación Experimental Pichilingue, Los Ríos, Ecuador
                University of Chicago, United States of America
                Author notes

                Conceived and designed the experiments: JCM RJS. Performed the experiments: JCM PL JWdSeM RL. Analyzed the data: JCM PL. Contributed reagents/materials/analysis tools: JCM JWdSeM RL RJS. Wrote the paper: JCM PL DNK JSB RJS.

                Article
                08-PONE-RA-04492R2
                10.1371/journal.pone.0003311
                2551746
                18827930
                45da9059-8e4c-48ec-865e-2d229100b7f9
                This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
                History
                : 28 April 2008
                : 29 August 2008
                Page count
                Pages: 8
                Categories
                Research Article
                Ecology/Evolutionary Ecology
                Genetics and Genomics/Plant Genomes and Evolution
                Genetics and Genomics/Population Genetics
                Plant Biology/Agricultural Biotechnology
                Plant Biology/Plant Genomes and Evolution

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