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首页> 外文期刊>Russian journal of genetics >First Insights into the Guar (Cyamopsis tetragonoloba (L.) Taub.) Genome of the 'Vavilovskij 130' Accession, Using Second and Third-Generation Sequencing Technologies
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First Insights into the Guar (Cyamopsis tetragonoloba (L.) Taub.) Genome of the 'Vavilovskij 130' Accession, Using Second and Third-Generation Sequencing Technologies

机译:第一次见解瓜尔(Cyomopsis Tetragonoloba(L.)Taub。)“VAVILOVSKIJ 130”加入的基因组,使用第二代和第三代排序技术

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Guar (Cyamopsis tetragonoloba (L.) Taub.) is becoming a popular industrial crop in response to industry demand for the guar gum extracted from seeds' endosperm. Breeding efforts of new guar varieties would greatly benefit from genomic resources developed for marker assisted selection (MAS) purposes. We have undertaken the first steps to establish a whole-genome assembly of the guar 'Vaviloskij 130' accession, bred at VIR. Using a combination of second (Illumina short reads) and third generation (Oxford Nanopore long reads) sequencing methods, a dataset of approx. 5X of genome coverage was obtained. We tested assemblers for short reads, namely SOAPdenovo, AbySS and SGA, based on different algorithms. For short reads (Illumina MiSeq and HiSeq data), the better result in terms of total number of scaffolds and total assembly length were obtained with SGA (String Graph Assembler). For Oxford Nanopore dataset, we used the combination of minimap + miniASM assembly, then corrected the assembly with raw Illumina and Nanopore data. The current preliminary de novo assembly of the guar genome covers 1.2 Gb, corresponding to 50% of the genome. The data confirm the phylogeny position of C. tetragoloba as being highly related to the genus Vigna, Abrus, Glycine and Lupinus genomes. This preliminary reference genome paves the way to further detailed diversity and genetic analyses into that important agro-industrial crop.
机译:瓜尔(Cyamopsis Tetrapoloba(L.)Taub。)正在成为一种流行的工业作物,以应对从种子胚乳中提取的瓜尔胶的需求。新瓜尔族品种的育种努力将极大地受益于为标记辅助选择(MAS)目的而开发的基因组资源。我们已经采取了建立瓜尔队“VAVILOSKIJ 130”加入的全基因组大会的第一步,繁殖。使用第二代(Illumina短读取)和第三代(牛津纳米孔长读取)测序方法的组合,数据集约为。获得了基因组覆盖率的5倍。基于不同的算法,我们测试了短读,即SOAPDENOVO,ABYSS和SGA的汇编程序。对于短读取(Illumina Miseq和Hiseq数据),使用SGA(串图汇编器)获得了支架总数和总组装长度的效果越大。对于牛津纳米孔数据集,我们使用了Minimap + Miniasm组件的组合,然后用原始Illumina和纳米孔数据纠正了组装。瓜尔基因组的目前初步DE Novo组装覆盖1.2GB,对应于基因组的50%。该数据证实了C.Tetrogoloba的系统发育位置,与Vigna,Abrus,甘氨酸和羽扇素基因的高度相关。这种初步参考基因组铺平了进一步详细的多样性和遗传分析进入该重要农业工业作物的途径。

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