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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Bionano基因组映射支持复杂植物基因组中的物理映射和序列组装

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The assembly of a reference genome sequence of bread wheat is challenging due to its specific features such as the genome size of 17Gbp, 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 1.3Mb. 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:由于其特定特征,如诸如17Gbp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。基于染色体物理地图的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将是非常有益的,并且可以获得准确和完整的基因组序列。在这里,我们选择了染色体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耦合与基因组映射的染色体流量分类,并产生小麦染色体的de novo基因组图。我们构建了一个高分辨率的染色体地图,由371个Contig组成,N50为1.3MB。通过我们的方法实现的长DNA分子通过我们的方法促进了重复序列的染色体级分析,并揭示了800kb串联棘爪棘爪,对当前的DNA测序技术进行了棘手。通过克隆克隆测序对7ds基因组图获得获得的锚定7ds序列组件提供了一种有价值的工具,以改善Bac-contig物理图和验证序列组件在染色体臂秤上。我们的结果表明,以染色体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产生的实用工具。

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