2014
DOI: 10.1371/journal.pone.0094000
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Genetic Diversity and Population Structure Analysis of European Hexaploid Bread Wheat (Triticum aestivum L.) Varieties

Abstract: Progress in plant breeding is facilitated by accurate information about genetic structure and diversity. Here, Diversity Array Technology (DArT) was used to characterize a population of 94 bread wheat (Triticum aestivum L.) varieties of mainly European origin. In total, 1,849 of 7,000 tested markers were polymorphic and could be used for population structure analysis. Two major subgroups of wheat varieties, GrI and GrII, were identified using the program STRUCTURE, and confirmed by principal component analysis… Show more

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Cited by 94 publications
(114 citation statements)
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“…The whole genome LD decay rate in the current study (~10 cM; Figure 3) is faster than previously published values in CIMMYT's Elite Spring Wheat materials (~30 cM; Crossa et al, 2007; Dreisigacker et al, 2012) and/or Chinese or European elite germplasm (~20–23 cM; Zhang et al, 2013; Nielsen et al, 2014). However, compared to other wheat global landrace collections (~4–5 cM; Neumann et al, 2011; Adhikari et al, 2012), LD decay rate of the present collection was slower.…”
Section: Discussioncontrasting
confidence: 49%
“…The whole genome LD decay rate in the current study (~10 cM; Figure 3) is faster than previously published values in CIMMYT's Elite Spring Wheat materials (~30 cM; Crossa et al, 2007; Dreisigacker et al, 2012) and/or Chinese or European elite germplasm (~20–23 cM; Zhang et al, 2013; Nielsen et al, 2014). However, compared to other wheat global landrace collections (~4–5 cM; Neumann et al, 2011; Adhikari et al, 2012), LD decay rate of the present collection was slower.…”
Section: Discussioncontrasting
confidence: 49%
“…1, S1). This finding is substantiated by the rather low genotypic variance jointly explained by the first two principal coordinates which is in agreement with other studies (Miedaner et al 2011;Würschum et al 2013;Nielsen et al 2014;Albrecht et al 2015) and can be explained by the history of wheat line breeding in Europe resulting in a widespread exchange of germplasm between breeding companies within and across countries. 1, S1).…”
Section: Overall Diversity Trends In the Global Winter Wheat Collectionsupporting
confidence: 91%
“…Varieties released in Eastern and South Eastern Europe, in China, and in the United States were moderately separated from lines released in Western and Central Europe which corroborates previous findings (Cavanagh et al 2013). Second, several studies agree (Roussel et al 2005;Balfourier et al 2007;Horvath et al 2009;Nielsen et al 2014;Wingen et al 2014) that the European wheat germplasm can be roughly separated into a Western and Eastern background which might be explained by: (i) general adaptation to different environmental conditions; (ii) oldest migration pathways of the initial wheat germplasm as mountain ranges acted as barriers for gene flow; Second, several studies agree (Roussel et al 2005;Balfourier et al 2007;Horvath et al 2009;Nielsen et al 2014;Wingen et al 2014) that the European wheat germplasm can be roughly separated into a Western and Eastern background which might be explained by: (i) general adaptation to different environmental conditions; (ii) oldest migration pathways of the initial wheat germplasm as mountain ranges acted as barriers for gene flow;…”
Section: Overall Diversity Trends In the Global Winter Wheat Collectionsupporting
confidence: 82%
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“…Molecular markers previously used for characterization of genetic diversity in watermelon genotypes include random amplified polymorphic DNA (RAPD; Mujaju et al, 2010), amplified fragment length polymorphism (AFLP; Che et al, 2003), simple sequence repeat (SSR; Kwon et al, 2010) and expressed sequence tags-SSRs (EST-SSR; Mujaju et al, 2013). The method has been widely applied to various crop species, such as rice (Singh et al, 2013), maize (Van Inghelandt et al, 2010), wheat (Nielsen et al, 2014) and melon (Esteras et al, 2013), for genetic variability analysis. In contrast, single nucleotide polymorphism (SNP) markers offer substantial advantages over PCR-based methods such as large-scale genotyping, generation of highabundance sequence information and whole-genome coverage to allow genetic studies (Gupta et al, 2008;Singh et al, 2013).…”
Section: Introductionmentioning
confidence: 99%