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De Novo Assembly and Annotation of the Chinese Chive (Allium tuberosum Rottler ex Spr.) Transcriptome Using the Illumina Platform

机译:使用Illumina平台从头组装和注释中国韭菜(韭菜葱头)转录组。

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摘要

Chinese chive (A. tuberosum Rottler ex Spr.) is one of the most widely cultivated Allium species in China. However, minimal transcriptomic and genomic data are available to reveal its evolution and genetic diversity. In this study, de novo transcriptome sequencing was performed to produce large transcript sequences using an Illumina HiSeq 2000 instrument. We produced 51,968,882 high-quality clean reads and assembled them into 150,154 contigs. A total of 60,031 unigenes with an average length of 631 bp were identified. Of these, 36,523 unigenes were homologous to existing database sequences, 35,648 unigenes were annotated in the NCBI non-redundant (Nr) sequence database, and 23,509 unigenes were annotated in the Swiss-Prot database. A total of 26,798 unigenes were assigned to 57 Gene Ontology (GO) terms, and 13,378 unigenes were assigned to Cluster of Orthologous Group categories. Using the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database, we mapped 21,361 unigenes onto 128 pathways. Furthermore, 2,125 sequences containing simple sequence repeats (SSRs) were identified. This new dataset provides the most comprehensive resource currently available for gene expression, gene discovery, and future genomic research on Chinese chive. The sequence resources developed in this study can be used to develop molecular markers that will facilitate further genetic research on Chinese chive and related species.
机译:韭菜(A. tuberotum Rottler ex Spr。)是中国栽培最广泛的葱属物种之一。然而,最少的转录组学和基因组数据可用来揭示其进化和遗传多样性。在这项研究中,使用Illumina HiSeq 2000仪器进行了从头转录组测序,以产​​生大的转录本序列。我们生产了51,968,882高质量的纯净读物,并将它们组装成150,154重叠群。总共鉴定出60,031个单基因,平均长度为631 bp。其中,有36,523个单基因与现有数据库序列同源,在NCBI非冗余(Nr)序列数据库中标注了35,648个单基因,在Swiss-Prot数据库中标注了23,509个单基因。共将26,798个单基因分配给57个基因本体论(GO)术语,将13,378个单基因分配给直系同源群类别。使用《京都基因与基因组百科全书》(KEGG)路径数据库,我们将21,361个单基因映射到128个路径上。此外,鉴定了包含简单序列重复(SSR)的2,125个序列。这个新的数据集提供了目前最全面的资源,可用于中国韭菜的基因表达,基因发现和未来的基因组研究。这项研究中开发的序列资源可用于开发分子标记,这将有助于进一步对韭菜和相关物种进行遗传研究。

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