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      Defining a diverse core collection of the Colombian Central Collection of potatoes: a tool to advance research and breeding

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          Abstract

          The highly diverse Colombian Central Collection (CCC) of cultivated potatoes is the most important source of genetic variation for breeding and the agricultural development of this staple crop in Colombia. Potato is the primary source of income for more than 100.000 farming families in Colombia. However, biotic and abiotic challenges limit crop production. Furthermore, climate change, food security, and malnutrition constraints call for adaptive crop development to be urgently addressed. The clonal CCC of potatoes contains 1,255 accessions ― an extensive collection size that limits its optimal assessment and use. Our study evaluated different collection sizes from the whole clonal collection to define the best core collection that captures the total genetic diversity of this unique collection, to support a characterization more cost-effectively. Initially, we genotyped 1,141 accessions from the clonal collection and 20 breeding lines using 3,586 genome-wide polymorphic markers to study CCC’s genetic diversity. The analysis of molecular variance confirmed the CCC’s diversity with a significant population structure (Phi=0.359; p-value=0.001). Three main genetic pools were identified within this collection (CCC_Group_A, CCC_Group_B1, and CCC_Group_B2), and the commercial varieties were located across the pools. The ploidy level was the main driver of pool identification, followed by a robust representation of accessions from Phureja and Andigenum cultivar groups based on former taxonomic classifications. We also found divergent heterozygosity values within genetic groups, with greater diversity in genetic groups with tetraploids (CCC_Group_B1: 0.37, and CCC_Group_B2: 0.53) than in diploid accessions (CCC_Group_A: 0.14). We subsequently generated one mini-core collection size of 3 percent (39 entries) and three further core collections sizes of 10, 15, and 20 percent (i.e., 129, 194, and 258 entries, respectively) from the total samples genotyped. As our results indicated that genetic diversity was similar across the sampled core collection sizes compared to the main collection, we selected the smallest core collection size of 10 percent. We expect this 10 percent core collection to be an optimal tool for discovering and evaluating functional diversity in the genebank to advance potato breeding and agricultural-related studies. This study also lays the foundations for continued CCC curation by evaluating duplicity and admixing between accessions, completing the digitalization of data, and ploidy determination using chloroplast count.

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          Detecting the number of clusters of individuals using the software structure: a simulation study

          The identification of genetically homogeneous groups of individuals is a long standing issue in population genetics. A recent Bayesian algorithm implemented in the software STRUCTURE allows the identification of such groups. However, the ability of this algorithm to detect the true number of clusters (K) in a sample of individuals when patterns of dispersal among populations are not homogeneous has not been tested. The goal of this study is to carry out such tests, using various dispersal scenarios from data generated with an individual-based model. We found that in most cases the estimated 'log probability of data' does not provide a correct estimation of the number of clusters, K. However, using an ad hoc statistic DeltaK based on the rate of change in the log probability of data between successive K values, we found that STRUCTURE accurately detects the uppermost hierarchical level of structure for the scenarios we tested. As might be expected, the results are sensitive to the type of genetic marker used (AFLP vs. microsatellite), the number of loci scored, the number of populations sampled, and the number of individuals typed in each sample.
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            STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method

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              adegenet 1.3-1: new tools for the analysis of genome-wide SNP data.

              While the R software is becoming a standard for the analysis of genetic data, classical population genetics tools are being challenged by the increasing availability of genomic sequences. Dedicated tools are needed for harnessing the large amount of information generated by next-generation sequencing technologies. We introduce new tools implemented in the adegenet 1.3-1 package for handling and analyzing genome-wide single nucleotide polymorphism (SNP) data. Using a bit-level coding scheme for SNP data and parallelized computation, adegenet enables the analysis of large genome-wide SNPs datasets using standard personal computers. adegenet 1.3-1 is available from CRAN: http://cran.r-project.org/web/packages/adegenet/. Information and support including a dedicated forum of discussion can be found on the adegenet website: http://adegenet.r-forge.r-project.org/. adegenet is released with a manual and four tutorials totalling over 300 pages of documentation, and distributed under the GNU General Public Licence (≥2). t.jombart@imperial.ac.uk. Supplementary data are available at Bioinformatics online.
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                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/539352
                URI : https://loop.frontiersin.org/people/1852716
                URI : https://loop.frontiersin.org/people/1519455
                URI : https://loop.frontiersin.org/people/1852685
                URI : https://loop.frontiersin.org/people/961478
                URI : https://loop.frontiersin.org/people/106284
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                26 April 2023
                2023
                : 14
                : 1046400
                Affiliations
                [1] 1 Corporación Colombiana de Investigación Agropecuaria-AGROSAVIA, Centro de Investigación Tibaitatá , Mosquera, Colombia
                [2] 2 Corporación Colombiana de Investigación Agropecuaria-AGROSAVIA, Centro de Investigación Turipaná , Montería, Colombia
                [3] 3 Institut de Systématique, Evolution, Biodiversité-UMR-CNRS 7205, National Museum of Natural History , Paris, France
                Author notes

                Edited by: Manuela Nagel, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Germany

                Reviewed by: Dorcus Chepkesis Gemenet, International Potato Center, Peru; Stephan Weise, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Germany

                *Correspondence: Roxana Yockteng, ryockteng@ 123456agrosavia.co

                †Present address: Norma C. Manrique-Carpintero, Alliance of Bioversity International and The International Center for Tropical Agriculture (CIAT), Cali, Colombia

                This article was submitted to Plant Systematics and Evolution, a section of the journal Frontiers in Plant Science

                Article
                10.3389/fpls.2023.1046400
                10173156
                37180391
                17284740-cbe7-49bd-af23-b6d1108759cb
                Copyright © 2023 Manrique-Carpintero, Berdugo-Cely, Cerón-Souza, Lasso-Paredes, Reyes-Herrera and Yockteng

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 16 September 2022
                : 14 March 2023
                Page count
                Figures: 7, Tables: 3, Equations: 0, References: 58, Pages: 17, Words: 10355
                Funding
                This research was supported by the Ministerio de Agricultura y Desarrollo Rural of Colombia under the funds TV19-21 in the project “Diseño e implementación de un Plataforma de genotípificación para el Banco de Germoplasma Vegetal de Colombia conservado por AGROSAVIA” with 1001386 code.
                Categories
                Plant Science
                Original Research

                Plant science & Botany
                genetic diversity,molecular markers,population structure,mini-core collection,polyploid

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