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用于六倍体小麦基因组高通量分析的多样性阵列技术(DArT)

Diversity arrays technology (DArT) for high-throughput profiling of the hexaploid wheat genome.

作者信息

Akbari Mona, Wenzl Peter, Caig Vanessa, Carling Jason, Xia Ling, Yang Shiying, Uszynski Grzegorz, Mohler Volker, Lehmensiek Anke, Kuchel Haydn, Hayden Mathew J, Howes Neil, Sharp Peter, Vaughan Peter, Rathmell Bill, Huttner Eric, Kilian Andrzej

机构信息

Triticarte P/L, 1 Wilf Crane Crescent, Yarralumla, Canberra, ACT, 2600, Australia.

出版信息

Theor Appl Genet. 2006 Nov;113(8):1409-20. doi: 10.1007/s00122-006-0365-4. Epub 2006 Oct 11.

Abstract

Despite a substantial investment in the development of panels of single nucleotide polymorphism (SNP) markers, the simple sequence repeat (SSR) technology with a limited multiplexing capability remains a standard, even for applications requiring whole-genome information. Diversity arrays technology (DArT) types hundreds to thousands of genomic loci in parallel, as previously demonstrated in a number diploid plant species. Here we show that DArT performs similarly well for the hexaploid genome of bread wheat (Triticum aestivum L.). The methodology previously used to generate DArT fingerprints of barley also generated a large number of high-quality markers in wheat (99.8% allele-calling concordance and approximately 95% call rate). The genetic relationships among bread wheat cultivars revealed by DArT coincided with knowledge generated with other methods, and even closely related cultivars could be distinguished. To verify the Mendelian behaviour of DArT markers, we typed a set of 90 Cranbrook x Halberd doubled haploid lines for which a framework (FW) map comprising a total of 339 SSR, restriction fragment length polymorphism (RFLP) and amplified fragment length polymorphism (AFLP) markers was available. We added an equal number of DArT markers to this data set and also incorporated 71 sequence tagged microsatellite (STM) markers. A comparison of logarithm of the odds (LOD) scores, call rates and the degree of genome coverage indicated that the quality and information content of the DArT data set was comparable to that of the combined SSR/RFLP/AFLP data set of the FW map.

摘要

尽管在单核苷酸多态性(SNP)标记面板的开发上投入巨大,但具有有限多重分析能力的简单序列重复(SSR)技术仍然是标准方法,即使对于需要全基因组信息的应用也是如此。多样性阵列技术(DArT)能同时对数百到数千个基因组位点进行分型,此前已在一些二倍体植物物种中得到证实。在此我们表明,DArT技术在六倍体面包小麦(Triticum aestivum L.)基因组上的表现同样出色。先前用于生成大麦DArT指纹图谱的方法,在小麦中也产生了大量高质量标记(等位基因分型一致性达99.8%,检出率约为95%)。DArT揭示的面包小麦品种间的遗传关系与其他方法得出的结果一致,甚至亲缘关系很近的品种也能被区分开来。为了验证DArT标记的孟德尔遗传行为,我们对一组90个克兰布鲁克×哈伯德双单倍体品系进行了分型,这些品系有一个包含总共339个SSR、限制性片段长度多态性(RFLP)和扩增片段长度多态性(AFLP)标记的框架(FW)图谱。我们在这个数据集中添加了等量的DArT标记,还纳入了71个序列标签微卫星(STM)标记。对数优势(LOD)分数、检出率和基因组覆盖程度的比较表明,DArT数据集的质量和信息含量与FW图谱的SSR/RFLP/AFLP组合数据集相当。

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