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基于序列的多倍体小麦基因组图谱绘制。

Sequence-based mapping of the polyploid wheat genome.

机构信息

Department of Plant Pathology, Kansas State University, Manhattan, Kansas 66502, USA.

出版信息

G3 (Bethesda). 2013 Jul 8;3(7):1105-14. doi: 10.1534/g3.113.005819.

DOI:10.1534/g3.113.005819
PMID:23665877
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3704239/
Abstract

The emergence of new sequencing technologies has provided fast and cost-efficient strategies for high-resolution mapping of complex genomes. Although these approaches hold great promise to accelerate genome analysis, their application in studying genetic variation in wheat has been hindered by the complexity of its polyploid genome. Here, we applied the next-generation sequencing of a wheat doubled-haploid mapping population for high-resolution gene mapping and tested its utility for ordering shotgun sequence contigs of a flow-sorted wheat chromosome. A bioinformatical pipeline was developed for reliable variant analysis of sequence data generated for polyploid wheat mapping populations. The results of variant mapping were consistent with the results obtained using the wheat 9000 SNP iSelect assay. A reference map of the wheat genome integrating 2740 gene-associated single-nucleotide polymorphisms from the wheat iSelect assay, 1351 diversity array technology, 118 simple sequence repeat/sequence-tagged sites, and 416,856 genotyping-by-sequencing markers was developed. By analyzing the sequenced megabase-size regions of the wheat genome we showed that mapped markers are located within 40-100 kb from genes providing a possibility for high-resolution mapping at the level of a single gene. In our population, gene loci controlling a seed color phenotype cosegregated with 2459 markers including one that was located within the red seed color gene. We demonstrate that the high-density reference map presented here is a useful resource for gene mapping and linking physical and genetic maps of the wheat genome.

摘要

新一代测序技术的出现为复杂基因组的高分辨率图谱绘制提供了快速且经济高效的策略。尽管这些方法在加速基因组分析方面具有很大的潜力,但由于其多倍体基因组的复杂性,它们在研究小麦遗传变异方面的应用受到了阻碍。在这里,我们应用小麦双单倍体作图群体的下一代测序进行高分辨率基因作图,并测试了其在订购流式分选小麦染色体的霰弹枪序列连群中的应用。开发了一个生物信息学管道,用于可靠地分析用于多倍体小麦作图群体的序列数据中的变体。变体映射的结果与使用小麦 9000 SNP iSelect 测定法获得的结果一致。整合了来自小麦 iSelect 测定法、1351 多样性阵列技术、118 个简单序列重复/序列标记位点和 416856 个测序标记基因关联单核苷酸多态性的 2740 个小麦基因组参考图谱。通过分析小麦基因组的测序兆碱基大小区域,我们表明,映射标记位于基因的 40-100 kb 范围内,为单个基因水平的高分辨率作图提供了可能性。在我们的群体中,控制种子颜色表型的基因座与包括位于红色种子颜色基因内的一个基因座共分离的 2459 个标记。我们证明,这里呈现的高密度参考图谱是基因作图和连接小麦基因组物理图谱和遗传图谱的有用资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f3e/3704239/7b55bac3552a/1105f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f3e/3704239/c5ffeb66ecfc/1105f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f3e/3704239/7b55bac3552a/1105f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f3e/3704239/c5ffeb66ecfc/1105f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f3e/3704239/7b55bac3552a/1105f2.jpg

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