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      Genome-wide genotyping elucidates the geographical diversification and dispersal of the polyploid and clonally propagated yam ( Dioscorea alata)

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          Abstract

          Background and Aims

          Inferring the diffusion history of many human-dispersed species is still not straightforward due to unresolved past human migrations. The centre of diversification and routes of migration of the autopolyploid and clonally propagated greater yam, Dioscorea alata, one of the oldest edible tubers, remain unclear. Here, we address yam demographic and dispersal history using a worldwide sample.

          Methods

          We characterized genome-wide patterns of genetic variation using genotyping by sequencing 643 greater yam accessions spanning four continents. First, we disentangled the polyploid and clonal components of yam diversity using allele frequency distribution and identity by descent approaches. We then addressed yam geographical origin and diffusion history with a model-based coalescent inferential approach.

          Key Results

          Diploid genotypes were more frequent than triploids and tetraploids worldwide. Genetic diversity was generally low and clonality appeared to be a main factor of diversification. The most likely evolutionary scenario supported an early divergence of mainland Southeast Asian and Pacific gene pools with continuous migration between them. The genetic make-up of triploids and tetraploids suggests that they have originated from these two regions before westward yam migration. The Indian Peninsula gene pool gave origin to the African gene pool, which was later introduced to the Caribbean region.

          Conclusions

          Our results are congruent with the hypothesis of independent domestication origins of the two main Asian and Pacific gene pools. The low genetic diversity and high clonality observed suggest a strong domestication bottleneck followed by thousands of years of widespread vegetative propagation and polyploidization. Both processes reduced the extent of diversity available for breeding, and this is likely to threaten future adaptation.

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          Most cited references67

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          Cytoscape is an open source software project for integrating biomolecular interaction networks with high-throughput expression data and other molecular states into a unified conceptual framework. Although applicable to any system of molecular components and interactions, Cytoscape is most powerful when used in conjunction with large databases of protein-protein, protein-DNA, and genetic interactions that are increasingly available for humans and model organisms. Cytoscape's software Core provides basic functionality to layout and query the network; to visually integrate the network with expression profiles, phenotypes, and other molecular states; and to link the network to databases of functional annotations. The Core is extensible through a straightforward plug-in architecture, allowing rapid development of additional computational analyses and features. Several case studies of Cytoscape plug-ins are surveyed, including a search for interaction pathways correlating with changes in gene expression, a study of protein complexes involved in cellular recovery to DNA damage, inference of a combined physical/functional interaction network for Halobacterium, and an interface to detailed stochastic/kinetic gene regulatory models.
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            Cutadapt removes adapter sequences from high-throughput sequencing reads

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              PLINK: a tool set for whole-genome association and population-based linkage analyses.

              Whole-genome association studies (WGAS) bring new computational, as well as analytic, challenges to researchers. Many existing genetic-analysis tools are not designed to handle such large data sets in a convenient manner and do not necessarily exploit the new opportunities that whole-genome data bring. To address these issues, we developed PLINK, an open-source C/C++ WGAS tool set. With PLINK, large data sets comprising hundreds of thousands of markers genotyped for thousands of individuals can be rapidly manipulated and analyzed in their entirety. As well as providing tools to make the basic analytic steps computationally efficient, PLINK also supports some novel approaches to whole-genome data that take advantage of whole-genome coverage. We introduce PLINK and describe the five main domains of function: data management, summary statistics, population stratification, association analysis, and identity-by-descent estimation. In particular, we focus on the estimation and use of identity-by-state and identity-by-descent information in the context of population-based whole-genome studies. This information can be used to detect and correct for population stratification and to identify extended chromosomal segments that are shared identical by descent between very distantly related individuals. Analysis of the patterns of segmental sharing has the potential to map disease loci that contain multiple rare variants in a population-based linkage analysis.
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                Author and article information

                Journal
                Ann Bot
                Ann Bot
                annbot
                Annals of Botany
                Oxford University Press (US )
                0305-7364
                1095-8290
                02 November 2020
                27 June 2020
                27 June 2020
                : 126
                : 6
                : 1029-1038
                Affiliations
                [1 ] CIRAD, UMR AGAP, F34398-Montpellier , France
                [2 ] AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro , Montpellier, France
                [3 ] University of Vienna, Department of Evolutionary Anthropology , Vienna, Austria
                [4 ] Uppsala University, Department of Organismal Biology , Uppsala, Sweden
                [5 ] CIRAD, UMR AGAP , Petit Bourg, Guadeloupe, France
                [6 ] Plant Resources Center (PRC) , An Khanh, Hoai Duc, Hanoi, Vietnam
                [7 ] Vanuatu Agricultural Research and Technical Centre (VARTC) , Espiritu Santo PB, Vanuatu
                [8 ] Kew Madagascar Conservation Centre , Antananarivo, Madagascar
                [9 ] Field Crops Research and Development Institute (FCRDI) , Mahailluppallama, Anuradhapura, Sri Lanka
                [10 ] National Agricultural Research Institute (NARI) , Lae, Morobe Province, Papua New Guinea
                [11 ] International Institute of Tropical Agriculture (IITA) , PMB, Ibadan, Oyo State, Nigeria
                [12 ] Tokyo University of Agriculture (TUA) , Sakuragaoka, Setagaya-ku, Tokyo, Japan
                Author notes
                For correspondence. E-mail hana.chair@ 123456cirad.fr

                These authors contributed equally to the paper.

                Article
                mcaa122
                10.1093/aob/mcaa122
                7596366
                32592585
                4470ca8c-1592-41af-858e-7be4b1367a2d
                © The Author(s) 2020. Published by Oxford University Press on behalf of the Annals of Botany Company.

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

                History
                : 18 March 2020
                : 26 May 2020
                : 12 June 2020
                : 22 June 2020
                : 06 August 2020
                Page count
                Pages: 10
                Funding
                Funded by: CGIAR Research Program on Roots, Tubers and Bananas;
                Funded by: Agropolis Foundation, DOI 10.13039/100007599;
                Award ID: 1403-023
                Categories
                Original Articles
                AcademicSubjects/SCI01080
                AcademicSubjects/SCI01130
                AcademicSubjects/SCI01210

                Plant science & Botany
                clonal propagation,demography,geographical distribution,polyploidy,population genomics,yam,dioscorea alata

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