ST-2020-Cobia.xlsx
收藏DataCite Commons2020-11-16 更新2024-08-18 收录
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https://figshare.com/articles/dataset/ST-2020-Cobia_xlsx/13242176
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资源简介:
Spreadsheet file containing transcriptome and functional annotation of <i>Rachycentron canadum</i> liver.Rachycentron canadum, popularly known as cobia, is a marine teleost species with great productive potential worldwide, especially in Brazil. However, the genomic information currently available for this species in public databases is limited, hindering the development of gene expression analyses that could bring novel insights into the physiology, ecology and evolution of this commercially prospective species, which could greatly assist in improving R. canadum productivity. In this study, we report the first de novo transcriptome assembly of cobia liver, in an attempt to improve the availability of gene sequences for this important commercial species. Illumina sequencing of liver transcripts generated 1,761,965,794 raw reads, which were filtered into 1,652,319,304 high-quality reads. De novo assembly resulted in 101.789 unigenes and 163.096 isoforms, with an average length of 950.61 and 1617.34 nt, respectively. Comparisons against six different databases resulted in functional annotation for 125,993 of these elements (77.3%), providing relevant information regarding the genomic content of R. canadum, which shall assist in future nutrigenomics and other applied studies in the production of this important commercial fish species.
本数据集为包含军曹鱼(Rachycentron canadum)肝脏转录组及功能注释信息的电子表格文件。军曹鱼(Rachycentron canadum,俗称cobia)是一种海水硬骨鱼类,在全球范围内具备优异的产业开发潜力,尤其在巴西。然而,当前公共数据库中该物种可获取的基因组信息十分有限,阻碍了基因表达分析研究的开展——此类研究本可深入解析该极具商业开发价值物种的生理、生态与进化机制,进而助力提升军曹鱼的养殖产能。本研究首次完成了军曹鱼肝脏的de novo(从头)转录组组装,旨在提升该重要商业养殖物种的基因序列数据可及性。本研究通过Illumina测序技术对肝脏转录本进行测序,共获得1,761,965,794条原始读数(raw reads),经质控过滤后得到1,652,319,304条高质量读数。经de novo组装后,共得到101,789条单基因簇(unigenes)与163,096条转录本亚型(isoforms),二者的平均长度分别为950.61 nt与1,617.34 nt。通过与六个不同数据库进行序列比对,为其中125,993条序列(占比77.3%)完成了功能注释,为军曹鱼的基因组组分提供了关键信息,将为未来该商业养殖物种的营养基因组学(nutrigenomics)及其他相关应用研究提供重要支撑。
提供机构:
figshare
创建时间:
2020-11-16



