PvGeneExpDB: An integrative gene expression database for in-depth understanding on the Pacific white shrimp (Litopenaeus vannamei)

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Xi Xiong , Chun Xie , Sijun Li , Yanzhi Wang , Junyang Jiang , Dizhi Xie , Shijun Chen , Yuanyan Xiong , Lian Gan
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Abstract

The Pacific white shrimp (Litopenaeus vannamei) is a high-valued economic farming species. With the development of high-throughput sequencing technology, cumulative large-scale transcriptomic studies have been revealing molecular landscape of various biological conditions including genetic selection, breeding, evolution, disease landscape, etc. However, no single experiment or databases allow thorough investigations of transcriptomic dynamics for these progressions. Meanwhile, the available datasets are often scattered and lack management. Here, we have established PvGeneExpDB, the first gene expression database for L. vannamei (www.bio-marine-scau.com/pv_ex/), which encompasses gene expression profiles, differential expression, and co-expression analyses under various biological conditions. Based on the analyses of 7 datasets, which include 53 samples with accurate and detailed records, PvGeneExpDB identifies 20,599 novel transcripts, shows expression profiles of a total of 20,817 genes, and implements Gene Ontology (GO) reconstruction of 76.7 % of these genes. Besides, 26 co-expressed groups were first identified by large-scale, cross-sample Weighted Gene Co-expression Network Analysis (WGCNA). By integrating the gene expression data in the database, our goal is to deepen the biological understanding of L. vannamei.

Abstract Image

PvGeneExpDB:深入了解太平洋南美白对虾(Litopenaeus vannamei)的综合基因表达数据库
太平洋南美白对虾(Litopenaeus vannamei)是一种高价值的经济养殖品种。随着高通量测序技术的发展,累积的大规模转录组研究揭示了各种生物条件的分子景观,包括遗传选择、育种、进化、疾病景观等。然而,没有一个单一的实验或数据库能对这些进展的转录组动态进行深入研究。同时,现有的数据集往往分散且缺乏管理。在此,我们建立了第一个凡纳美鲈基因表达数据库 PvGeneExpDB(www.bio-marine-scau.com/pv_ex/),其中包括各种生物条件下的基因表达谱、差异表达和共表达分析。PvGeneExpDB 对 7 个数据集进行了分析,其中包括 53 个有准确详细记录的样本,在此基础上鉴定出 20,599 个新转录本,显示了总共 20,817 个基因的表达谱,并对其中 76.7% 的基因进行了基因本体(GO)重建。此外,通过大规模、跨样本加权基因共表达网络分析(WGCNA),首先确定了 26 个共表达组。通过整合数据库中的基因表达数据,我们的目标是加深对凡纳米鱼的生物学理解。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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