Tinker Nicholas A, Kilian Andrzej, Wight Charlene P, Heller-Uszynska Katarzyna, Wenzl Peter, Rines Howard W, Bjørnstad Asmund, Howarth Catherine J, Jannink Jean-Luc, Anderson Joseph M, Rossnagel Brian G, Stuthman Deon D, Sorrells Mark E, Jackson Eric W, Tuvesson Stine, Kolb Frederic L, Olsson Olof, Federizzi Luiz Carlos, Carson Marty L, Ohm Herbert W, Molnar Stephen J, Scoles Graham J, Eckstein Peter E, Bonman J Michael, Ceplitis Alf, Langdon Tim
Agriculture and Agri-Food Canada, ECORC, K,W, Neatby Bldg,, 960 Carling Ave,, C,E, Farm, Ottawa, ON K1A 0C6, Canada.
BMC Genomics. 2009 Jan 21;10:39. doi: 10.1186/1471-2164-10-39.
Genomic discovery in oat and its application to oat improvement have been hindered by a lack of genetic markers common to different genetic maps, and by the difficulty of conducting whole-genome analysis using high-throughput markers. This study was intended to develop, characterize, and apply a large set of oat genetic markers based on Diversity Array Technology (DArT).
Approximately 19,000 genomic clones were isolated from complexity-reduced genomic representations of pooled DNA samples from 60 oat varieties of global origin. These were screened on three discovery arrays, with more than 2000 polymorphic markers being identified for use in this study, and approximately 2700 potentially polymorphic markers being identified for use in future studies. DNA sequence was obtained for 2573 clones and assembled into a non-redundant set of 1770 contigs and singletons. Of these, 705 showed highly significant (Expectation < 10E-10) BLAST similarity to gene sequences in public databases. Based on marker scores in 80 recombinant inbred lines, 1010 new DArT markers were used to saturate and improve the 'Kanota' x 'Ogle' genetic map. DArT markers provided map coverage approximately equivalent to existing markers. After binning markers from similar clones, as well as those with 99% scoring similarity, a set of 1295 non-redundant markers was used to analyze genetic diversity in 182 accessions of cultivated oat of worldwide origin. Results of this analysis confirmed that major clusters of oat diversity are related to spring vs. winter type, and to the presence of major breeding programs within geographical regions. Secondary clusters revealed groups that were often related to known pedigree structure.
These markers will provide a solid basis for future efforts in genomic discovery, comparative mapping, and the generation of an oat consensus map. They will also provide new opportunities for directed breeding of superior oat varieties, and guidance in the maintenance of oat genetic diversity.
燕麦的基因组发现及其在燕麦改良中的应用受到不同遗传图谱缺乏通用遗传标记以及使用高通量标记进行全基因组分析困难的阻碍。本研究旨在开发、表征和应用基于多样性阵列技术(DArT)的大量燕麦遗传标记。
从全球60个燕麦品种混合DNA样本的简化基因组文库中分离出约19,000个基因组克隆。在三个发现阵列上对这些克隆进行筛选,鉴定出2000多个多态性标记用于本研究,约2700个潜在多态性标记用于未来研究。获得了2573个克隆的DNA序列,并组装成1770个重叠群和单拷贝的非冗余集。其中,705个与公共数据库中的基因序列显示出高度显著(期望值<10E-10)的BLAST相似性。基于80个重组自交系中的标记得分,1010个新的DArT标记用于饱和和改进“卡诺塔”ד奥格尔”遗传图谱。DArT标记提供的图谱覆盖范围与现有标记大致相当。在对相似克隆以及得分相似度为99%的标记进行分类后,使用一组1295个非冗余标记分析了来自世界各地的182份栽培燕麦的遗传多样性。该分析结果证实,燕麦多样性的主要聚类与春性与冬性类型以及地理区域内主要育种计划有关。次要聚类揭示了通常与已知系谱结构相关的群体。
这些标记将为未来的基因组发现、比较图谱绘制和燕麦共识图谱的生成提供坚实基础。它们还将为优良燕麦品种的定向育种提供新机会,并为燕麦遗传多样性的维护提供指导。