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High-throughput SNP discovery through deep resequencing of a reduced representation library to anchor and orient scaffolds in the soybean whole genome sequence

机译:通过对还原表达库进行深度重排以在大豆全基因组序列中锚定和定向支架,对高通量SNP进行发现

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Background The Soybean Consensus Map 4.0 facilitated the anchoring of 95.6% of the soybean whole genome sequence developed by the Joint Genome Institute, Department of Energy, but its marker density was only sufficient to properly orient 66% of the sequence scaffolds. The discovery and genetic mapping of more single nucleotide polymorphism (SNP) markers were needed to anchor and orient the remaining genome sequence. To that end, next generation sequencing and high-throughput genotyping were combined to obtain a much higher resolution genetic map that could be used to anchor and orient most of the remaining sequence and to help validate the integrity of the existing scaffold builds. Results A total of 7,108 to 25,047 predicted SNPs were discovered using a reduced representation library that was subsequently sequenced by the Illumina sequence-by-synthesis method on the clonal single molecule array platform. Using multiple SNP prediction methods, the validation rate of these SNPs ranged from 79% to 92.5%. A high resolution genetic map using 444 recombinant inbred lines was created with 1,790 SNP markers. Of the 1,790 mapped SNP markers, 1,240 markers had been selectively chosen to target existing unanchored or un-oriented sequence scaffolds, thereby increasing the amount of anchored sequence to 97%. Conclusion We have demonstrated how next generation sequencing was combined with high-throughput SNP detection assays to quickly discover large numbers of SNPs. Those SNPs were then used to create a high resolution genetic map that assisted in the assembly of scaffolds from the 8× whole genome shotgun sequences into pseudomolecules corresponding to chromosomes of the organism.
机译:背景技术大豆共识图谱4.0促进了美国能源部联合基因组研究所开发的大豆全基因组序列的95.6%的锚定,但其标记密度仅足以正确定向66%的序列支架。需要更多的单核苷酸多态性(SNP)标记物的发现和遗传定位来锚定和定向其余的基因组序列。为此,将下一代测序和高通量基因分型相结合以获得分辨率更高的遗传图谱,可用于锚定和定向大多数剩余序列并帮助验证现有支架构建的完整性。结果使用简化表示库发现了7,108至25,047个预测SNP,随后通过Illumina合成法在克隆单分子阵列平台上对其进行了测序。使用多种SNP预测方法,这些SNP的验证率介于79%至92.5%之间。使用1,790个SNP标记创建了使用444个重组自交系的高分辨率遗传图谱。在1,790个定位的SNP标记中,有选择地选择了1,240个标记来靶向现有的未锚定或未定向的序列支架,从而将锚定序列的数量增加到97%。结论我们已经证明了下一代测序是如何与高通量SNP检测方法结合使用的,以快速发现大量SNP。然后将这些SNP用于创建高分辨率遗传图谱,该图谱有助于将支架从8x全基因组shot弹枪序列组装成与生物体染色体相对应的假分子。

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