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      Genome-Wide Association Study Reveals Novel Candidate Genes Associated with Productivity and Disease Resistance to Moniliophthora spp. in Cacao ( Theobroma cacao L.)

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          Abstract

          Cacao ( Theobroma cacao L.), the source of chocolate, is one of the most important commodity products worldwide that helps improve the economic livelihood of farmers. Diseases like frosty pod rot caused by Moniliophthora roreri and witches’ broom caused by Moniliophthora perniciosa limit the cacao productivity, this can be solved by using resistant varieties. In the current study, we sequenced 229 cacao accessions using genotyping-by-sequencing to examine the genetic diversity and population structure employing 9,003 and 8,131 single nucleotide polymorphisms recovered by mapping against two cacao genomes (Criollo B97-61/B2 v2 and Matina 1-6 v1.1). In the phenotypic evaluation, three promising accessions for productivity and 10 with good tolerance to the frosty pod rot and witches’ broom diseases were found. A genome-wide association study was performed on 102 accessions, discovering two genes associated with productivity and seven to disease resistance. The results enriched the knowledge of the genetic regions associated with important cacao traits that can have significant implications for conservation and breeding strategies like marker-assisted selection.

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          Molecular signatures of natural selection.

          There is an increasing interest in detecting genes, or genomic regions, that have been targeted by natural selection. The interest stems from a basic desire to learn more about evolutionary processes in humans and other organisms, and from the realization that inferences regarding selection may provide important functional information. This review provides a nonmathematical description of the issues involved in detecting selection from DNA sequences and SNP data and is intended for readers who are not familiar with population genetic theory. Particular attention is placed on issues relating to the analysis of large-scale genomic data sets.
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            The genome of Theobroma cacao.

            We sequenced and assembled the draft genome of Theobroma cacao, an economically important tropical-fruit tree crop that is the source of chocolate. This assembly corresponds to 76% of the estimated genome size and contains almost all previously described genes, with 82% of these genes anchored on the 10 T. cacao chromosomes. Analysis of this sequence information highlighted specific expansion of some gene families during evolution, for example, flavonoid-related genes. It also provides a major source of candidate genes for T. cacao improvement. Based on the inferred paleohistory of the T. cacao genome, we propose an evolutionary scenario whereby the ten T. cacao chromosomes were shaped from an ancestor through eleven chromosome fusions.
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              Sample Size and Statistical Power Calculation in Genetic Association Studies

              A sample size with sufficient statistical power is critical to the success of genetic association studies to detect causal genes of human complex diseases. Genome-wide association studies require much larger sample sizes to achieve an adequate statistical power. We estimated the statistical power with increasing numbers of markers analyzed and compared the sample sizes that were required in case-control studies and case-parent studies. We computed the effective sample size and statistical power using Genetic Power Calculator. An analysis using a larger number of markers requires a larger sample size. Testing a single-nucleotide polymorphism (SNP) marker requires 248 cases, while testing 500,000 SNPs and 1 million markers requires 1,206 cases and 1,255 cases, respectively, under the assumption of an odds ratio of 2, 5% disease prevalence, 5% minor allele frequency, complete linkage disequilibrium (LD), 1:1 case/control ratio, and a 5% error rate in an allelic test. Under a dominant model, a smaller sample size is required to achieve 80% power than other genetic models. We found that a much lower sample size was required with a strong effect size, common SNP, and increased LD. In addition, studying a common disease in a case-control study of a 1:4 case-control ratio is one way to achieve higher statistical power. We also found that case-parent studies require more samples than case-control studies. Although we have not covered all plausible cases in study design, the estimates of sample size and statistical power computed under various assumptions in this study may be useful to determine the sample size in designing a population-based genetic association study.
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                Author and article information

                Journal
                G3 (Bethesda)
                Genetics
                G3: Genes, Genomes, Genetics
                G3: Genes, Genomes, Genetics
                G3: Genes, Genomes, Genetics
                G3: Genes|Genomes|Genetics
                Genetics Society of America
                2160-1836
                11 March 2020
                May 2020
                : 10
                : 5
                : 1713-1725
                Affiliations
                [* ]Centro de Investigación Tibaitatá, Corporación Colombiana de Investigación Agropecuaria, Agrosavia, Bogotá, Colombia
                []Centro de Investigación Turipaná Corporación Colombiana de Investigación Agropecuaria, Agrosavia, Montería, Colombia
                []Centro de Investigación La Suiza Corporación Colombiana de Investigación Agropecuaria, Agrosavia, Rionegro, Colombia
                [§ ]Muséum National d’Histoire Naturelle, UMR-CNRS 7205, Paris, France
                Author notes
                [2 ]Corresponding author: Km 14 vía Mosquera-Bogotá, Corporación Colombiana de Investigación Agropecuaria (Agrosavia). E-mail: ryockteng@ 123456agrosavia.co
                [1]

                These authors contributed equally to this work.

                Author information
                http://orcid.org/0000-0002-5486-2680
                http://orcid.org/0000-0003-2133-6139
                Article
                GGG_401153
                10.1534/g3.120.401153
                7202020
                32169867
                bfd61395-3b42-465b-9e6f-62b5249ea2de
                Copyright © 2020 Osorio-Guarin et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 16 January 2020
                : 10 March 2020
                Page count
                Figures: 6, Tables: 3, Equations: 2, References: 102, Pages: 13
                Categories
                Investigations

                Genetics
                association mapping,cacao,genotyping-by-sequencing,healthy pods,monilia,witches’ broom
                Genetics
                association mapping, cacao, genotyping-by-sequencing, healthy pods, monilia, witches’ broom

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