FGCD: a database of fungal gene clusters related to secondary metabolism.

IF 3.4 4区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Fuyuan Zhang, Hongzhe Cao, Helong Si, Jinping Zang, Jingao Dong, Jihong Xing, Kang Zhang
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引用次数: 0

Abstract

Fungal secondary metabolites are not necessary for growth, but they are important for fungal metabolism and ecology because they provide selective advantages for competition, survival and interactions with the environment. These various metabolites are widely used as medicinal precursors and insecticides. Secondary metabolism genes are commonly arranged in clusters along chromosomes, which allow for the coordinate control of complete pathways. In this study, we created the Fungal Gene Cluster Database to store, retrieve, and visualize secondary metabolite gene cluster information across fungal species. The database was created by merging data from RNA sequencing, Basic Local Alignment Search Tool, genome browser, enrichment analysis and the R Shiny web framework to visualize and query putative gene clusters. This database facilitated the rapid and thorough examination of significant gene clusters across fungal species by detecting, defining and graphically displaying the architecture, organization and expression patterns of secondary metabolite gene clusters. In general, this genomic resource makes use of the tremendous chemical variety of the products of these ecologically and biotechnologically significant gene clusters to our further understanding of fungal secondary metabolism. Database URL: https://www.hebaubioinformatics.cn/FungalGeneCluster/.

FGCD:与次生代谢有关的真菌基因簇数据库。
真菌的次生代谢物并非生长所必需,但它们对真菌的新陈代谢和生态学非常重要,因为它们为真菌的竞争、生存以及与环境的相互作用提供了选择性优势。这些不同的代谢物被广泛用作药用前体和杀虫剂。次生代谢基因通常沿着染色体排列成簇,这样就可以协调控制完整的途径。在这项研究中,我们创建了真菌基因簇数据库,用于存储、检索和可视化真菌物种的次级代谢基因簇信息。该数据库是通过合并来自 RNA 测序、基本局部比对搜索工具、基因组浏览器、富集分析和 R Shiny 网络框架的数据创建的,用于可视化和查询推测的基因簇。该数据库通过检测、定义和图形化显示次生代谢物基因簇的结构、组织和表达模式,有助于快速、全面地研究真菌物种中的重要基因簇。总体而言,该基因组资源利用了这些具有生态和生物技术意义的基因簇产物的巨大化学多样性,有助于我们进一步了解真菌的次生代谢。数据库网址:https://www.hebaubioinformatics.cn/FungalGeneCluster/。
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来源期刊
Database: The Journal of Biological Databases and Curation
Database: The Journal of Biological Databases and Curation MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
9.00
自引率
3.40%
发文量
100
审稿时长
>12 weeks
期刊介绍: Huge volumes of primary data are archived in numerous open-access databases, and with new generation technologies becoming more common in laboratories, large datasets will become even more prevalent. The archiving, curation, analysis and interpretation of all of these data are a challenge. Database development and biocuration are at the forefront of the endeavor to make sense of this mounting deluge of data. Database: The Journal of Biological Databases and Curation provides an open access platform for the presentation of novel ideas in database research and biocuration, and aims to help strengthen the bridge between database developers, curators, and users.
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