Diversity Arrays Technology (DArT) for whole-genome profiling of barley

Diversity Arrays Technology (DArT) for whole-genome profiling of barley
复制标题

DOI:
10.1073/pnas.0401076101
复制
发表时间:
2004-06-29
影响因子:
11.1
通讯作者:
Kilian, A
Kilian, A
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Wenzl, P;Carling, J;Kilian, A

文献摘要

被引文献

相似文献

多样性阵列技术(DArT)可以在不依赖于序列信息的情况下并行检测数百个基因组位点的DNA变异并进行分型。在这里,我们表明,它可以有效地应用于遗传作图和大麦,一个物种与5,000-Mbp的基因组的多样性分析。我们测试了几种复杂性降低方法,并选择了两种产生最多态的基因组表示。含有来自这些表示的单个片段的阵列产生DArT指纹,基因型调用率为98.0%,评分再现性为至少99.8%。指纹图谱根据已知的遗传关系对大麦品系进行分组。为了验证DArT标记的孟德尔行为,我们构建了一个品种Steptoe和Morex之间的杂交遗传图谱。几乎所有的多态性阵列特征可以纳入7个连锁群之一(98.8%)。最终的图谱包括大约385个独特的DArT标记,跨度为1,137厘摩。与基于限制性片段长度多态性的框架图谱的比较表明,DArT图谱的质量与框架图谱的质量相当,如果不是上级的话。这些结果突出了DArT作为分子育种和基因组学背景下基因组分析的通用技术的潜力。
Diversity Arrays Technology (DArT) can detect and type DNA variation at several hundred genomic loci in parallel without relying on sequence information. Here we show that it can be effectively applied to genetic mapping and diversity analyses of barley, a species with a 5,000-Mbp genome. We tested several complexity reduction methods and selected two that generated the most polymorphic genomic representations. Arrays containing individual fragments from these representations generated DArT fingerprints with a genotype call rate of 98.0% and a scoring reproducibility of at least 99.8%. The fingerprints grouped barley lines according to known genetic relationships. To validate the Mendelian behavior of DArT markers, we constructed a genetic map for a cross between cultivars Steptoe and Morex. Nearly all polymorphic array features could be incorporated into one of seven linkage groups (98.8%). The resulting map comprised approximate to385 unique DArT markers and spanned 1,137 centimorgans. A comparison with the restriction fragment length polymorphism-based framework map indicated that the quality of the DArT map was equivalent, if not superior, to that of the framework map. These results highlight the potential of DArT as a generic technique for genome profiling in the context of molecular breeding and genomics.