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首页> 外文期刊>Plant Biotechnology Journal >BioNano genome mapping of individual chromosomes supports physical mapping and sequence assembly in complex plant genomes
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BioNano genome mapping of individual chromosomes supports physical mapping and sequence assembly in complex plant genomes

机译:单个染色体的毕取纳基因组映射支持复杂植物基因组中的物理映射和序列组件

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Summary The assembly of a reference genome sequence of bread wheat is challenging due to its specific features such as the genome size of 17?Gbp, polyploid nature and prevalence of repetitive sequences. BAC-by-BAC sequencing based on chromosomal physical maps, adopted by the International Wheat Genome Sequencing Consortium as the key strategy, reduces problems caused by the genome complexity and polyploidy, but the repeat content still hampers the sequence assembly. Availability of a high-resolution genomic map to guide sequence scaffolding and validate physical map and sequence assemblies would be highly beneficial to obtaining an accurate and complete genome sequence. Here, we chose the short arm of chromosome 7D (7DS) as a model to demonstrate for the first time that it is possible to couple chromosome flow sorting with genome mapping in nanochannel arrays and create a de novo genome map of a wheat chromosome. We constructed a high-resolution chromosome map composed of 371 contigs with an N50 of 1.3?Mb. Long DNA molecules achieved by our approach facilitated chromosome-scale analysis of repetitive sequences and revealed a ~800-kb array of tandem repeats intractable to current DNA sequencing technologies. Anchoring 7DS sequence assemblies obtained by clone-by-clone sequencing to the 7DS genome map provided a valuable tool to improve the BAC-contig physical map and validate sequence assembly on a chromosome-arm scale. Our results indicate that creating genome maps for the whole wheat genome in a chromosome-by-chromosome manner is feasible and that they will be an affordable tool to support the production of improved pseudomolecules.
机译:发明内容由于其特异性特征,如诸如17〜GBP的基因组大小,多倍体性质和重复序列的患病率,因此面包小麦的参考基因组序列的组装是挑战性的。基于染色体物理图的BAC-BY-BAC测序,由国际小麦基因组测序联盟作为关键策略,减少了由基因组复杂性和多倍体引起的问题,但重复含量仍然妨碍序列组件。用于指导序列脚手架和验证物理图和序列组件的高分辨率基因组图的可用性对于获得准确和完整的基因组序列,对序列组件具有非常有益的。在这里,我们选择染色体7d(7ds)的短臂作为模型,以便首次证明它可以在纳米通道阵列中与基因组映射进行染色体流量分类,并产生小麦染色体的de novo基因组图。我们构建了一个由371个Contig的高分辨率染色体地图,N50为1.3 MB。通过我们的方法实现的长DNA分子促进了重复序列的染色体规模分析,并显示了〜800kb串联棘爪棘爪,对电流DNA测序技术棘手。锚定7ds通过克隆克隆测序获得的序列组件到7ds基因组图提供了一种有价值的工具,以改善Bac-contig物理图和验证曲线组件在染色体臂秤上的序列组件。我们的结果表明,以致染色体的方式为整个小麦基因组创建基因组图是可行的,并且它们将是支持改进的假调子的生产的实用工具。

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