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      Is there an optimum level of diversity in utilization of genetic resources?

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          Abstract

          Key message

          Capitalizing upon the genomic characteristics of long-term random mating populations, sampling from pre-selected landraces is a promising approach for broadening the genetic base of elite germplasm for quantitative traits.

          Abstract

          Genome-enabled strategies for harnessing untapped allelic variation of landraces are currently evolving. The success of such approaches depends on the choice of source material. Thus, the analysis of different strategies for sampling allelic variation from landraces and their impact on population diversity and linkage disequilibrium (LD) is required to ensure the efficient utilization of diversity. We investigated the impact of different sampling strategies on diversity parameters and LD based on high-density genotypic data of 35 European maize landraces each represented by more than 20 individuals. On average, five landraces already captured ~95% of the molecular diversity of the entire dataset. Within landraces, absence of pronounced population structure, consistency of linkage phases and moderate to low LD levels were found. When combining data of up to 10 landraces, LD decay distances decreased to a few kilobases. Genotyping 24 individuals per landrace with 5k SNPs was sufficient for obtaining representative estimates of diversity and LD levels to allow an informed pre-selection of landraces. Integrating results from European with Central and South American landraces revealed that European landraces represent a unique and diverse spectrum of allelic variation. Sampling strategies for harnessing allelic variation from landraces depend on the study objectives. If the focus lies on the improvement of elite germplasm for quantitative traits, we recommend sampling from pre-selected landraces, as it yields a wide range of diversity, allows optimal marker imputation, control for population structure and avoids the confounding effects of strong adaptive alleles.

          Electronic supplementary material

          The online version of this article (doi:10.1007/s00122-017-2959-4) contains supplementary material, which is available to authorized users.

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            R: A language and environment for statistical computing

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              A single domestication for maize shown by multilocus microsatellite genotyping.

              There exists extraordinary morphological and genetic diversity among the maize landraces that have been developed by pre-Columbian cultivators. To explain this high level of diversity in maize, several authors have proposed that maize landraces were the products of multiple independent domestications from their wild relative (teosinte). We present phylogenetic analyses based on 264 individual plants, each genotyped at 99 microsatellites, that challenge the multiple-origins hypothesis. Instead, our results indicate that all maize arose from a single domestication in southern Mexico about 9,000 years ago. Our analyses also indicate that the oldest surviving maize types are those of the Mexican highlands with maize spreading from this region over the Americas along two major paths. Our phylogenetic work is consistent with a model based on the archaeological record suggesting that maize diversified in the highlands of Mexico before spreading to the lowlands. We also found only modest evidence for postdomestication gene flow from teosinte into maize.
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                Author and article information

                Contributors
                +498161713421 , chris.schoen@tum.de
                Journal
                Theor Appl Genet
                Theor. Appl. Genet
                TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0040-5752
                1432-2242
                5 August 2017
                5 August 2017
                2017
                : 130
                : 11
                : 2283-2295
                Affiliations
                [1 ]ISNI 0000000123222966, GRID grid.6936.a, Plant Breeding, TUM School of Life Sciences Weihenstephan, , Technical University of Munich, ; 85354 Freising, Germany
                [2 ]ISNI 0000 0001 2167 3675, GRID grid.14003.36, Department of Agronomy, , University of Wisconsin-Madison, ; Madison, WI USA 53706
                [3 ]Misión Biológica de Galicia, Spanish National Research Council (CSIC), 36080 Pontevedra, Spain
                Author notes

                Communicated by Laurence Moreau.

                Article
                2959
                10.1007/s00122-017-2959-4
                5641276
                28780586
                0639a368-b370-4d6e-ae2a-297b06940e3a
                © The Author(s) 2017

                Open AccessThis article is 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 you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 11 April 2017
                : 26 July 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100002347, Bundesministerium für Bildung und Forschung;
                Award ID: 0315528
                Award Recipient :
                Funded by: Bayerisches Staatsministerium für Umwelt und Verbraucherschutz
                Award ID: TGC01GCUFuE69741
                Award Recipient :
                Funded by: Spanish Ministry of Economy and Competitiveness
                Award ID: RF2011-00022-C02-01
                Award Recipient :
                Categories
                Original Article
                Custom metadata
                © Springer-Verlag GmbH Germany 2017

                Genetics
                Genetics

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