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靶向重测序 allohexaploid 小麦外显子组。

Targeted re-sequencing of the allohexaploid wheat exome.

机构信息

School of Biological Sciences, University of Bristol, Bristol, UK.

出版信息

Plant Biotechnol J. 2012 Aug;10(6):733-42. doi: 10.1111/j.1467-7652.2012.00713.x. Epub 2012 Jun 18.

Abstract

Bread wheat, Triticum aestivum, is an allohexaploid composed of the three distinct ancestral genomes, A, B and D. The polyploid nature of the wheat genome together with its large size has limited our ability to generate the significant amount of sequence data required for whole genome studies. Even with the advent of next-generation sequencing technology, it is still relatively expensive to generate whole genome sequences for more than a few wheat genomes at any one time. To overcome this problem, we have developed a targeted-capture re-sequencing protocol based upon NimbleGen array technology to capture and characterize 56.5 Mb of genomic DNA with sequence similarity to over 100 000 transcripts from eight different UK allohexaploid wheat varieties. Using this procedure in conjunction with a carefully designed bioinformatic procedure, we have identified more than 500 000 putative single-nucleotide polymorphisms (SNPs). While 80% of these were variants between the homoeologous genomes, A, B and D, a significant number (20%) were putative varietal SNPs between the eight varieties studied. A small number of these latter polymorphisms were experimentally validated using KASPar technology and 94% proved to be genuine. The procedures described here to sequence a large proportion of the wheat genome, and the various SNPs identified should be of considerable use to the wider wheat community.

摘要

面包小麦(Triticum aestivum)是一种异源六倍体,由三个不同的祖先基因组 A、B 和 D 组成。小麦基因组的多倍体性质及其庞大的大小限制了我们生成用于全基因组研究的大量序列数据的能力。即使有了下一代测序技术,同时为多个小麦基因组生成全基因组序列的成本仍然相对较高。为了克服这个问题,我们开发了一种基于 NimbleGen 阵列技术的靶向捕获重测序方案,以捕获和表征与来自 8 个不同英国异源六倍体小麦品种的 100000 多个转录本具有序列相似性的 56.5 Mb 基因组 DNA。通过使用这种方法结合精心设计的生物信息学程序,我们已经鉴定了超过 500000 个假定的单核苷酸多态性(SNP)。虽然其中 80%是同源基因组 A、B 和 D 之间的变体,但相当数量(20%)是在研究的 8 个品种之间的假定品种 SNP。使用 KASPar 技术对其中少数几个后一类多态性进行了实验验证,证明其中 94%是真实的。此处描述的用于对小麦基因组的大部分进行测序的程序以及鉴定出的各种 SNP 应该对更广泛的小麦群体非常有用。

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