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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基因组图谱支持复杂植物基因组中的物理图谱和序列装配

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摘要

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:面包小麦的参考基因组序列的组装具有挑战性,因为它具有特定的特征,例如17 Gbp的基因组大小,多倍体性质和重复序列的普遍性。国际小麦基因组测序联盟采用的基于染色体物理图谱的BAC-by-BAC测序技术是关键策略,它减少了由基因组复杂性和多倍性引起的问题,但重复内容仍然妨碍序列装配。高分辨率基因组图谱可用于指导序列支架和验证物理图谱和序列装配,将对获得准确而完整的基因组序列非常有益。在这里,我们选择了7D染色体(7DS)的短臂作为模型,以首次证明可以将染色体流分类与纳米通道阵列中的基因组图结合,并创建小麦染色体的从头基因组图。我们构建了由371个重叠群组成的高分辨率染色体图,N50为1.3 Mb。通过我们的方法获得的长DNA分子促进了重复序列的染色体规模分析,并揭示了约800 kb的串联重复序列,这是当前DNA测序技术所难以企及的。通过逐个克隆测序将7DS序列装配锚定到7DS基因组图谱提供了一种有价值的工具,可以改善BAC-contig物理图谱并在染色体臂尺度上验证序列装配。我们的结果表明,以逐个染色体的方式为整个小麦基因组创建基因组图谱是可行的,并且它们将成为支持生产改良假分子的负担得起的工具。

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