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FGCD: a database of fungal gene clusters related to secondary metabolism.
Zhang, Fuyuan; Cao, Hongzhe; Si, Helong; Zang, Jinping; Dong, Jingao; Xing, Jihong; Zhang, Kang.
Afiliação
  • Zhang F; State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, No. 289 Lingyusi Street, Baoding 071000, China.
  • Cao H; College of Life Science, Hebei Agricultural University, No. 289 Lingyusi Street, Baoding 071000, China.
  • Si H; College of Life Science, Hebei Agricultural University, No. 289 Lingyusi Street, Baoding 071000, China.
  • Zang J; Hebei Key Laboratory of Plant Physiology and Molecular Pathology, Hebei Agricultural University, No. 289 Lingyusi Street, Baoding 071000, China.
  • Dong J; College of Life Science, Hebei Agricultural University, No. 289 Lingyusi Street, Baoding 071000, China.
  • Xing J; Hebei Key Laboratory of Plant Physiology and Molecular Pathology, Hebei Agricultural University, No. 289 Lingyusi Street, Baoding 071000, China.
  • Zhang K; Hebei Key Laboratory of Plant Physiology and Molecular Pathology, Hebei Agricultural University, No. 289 Lingyusi Street, Baoding 071000, China.
Database (Oxford) ; 20242024 Mar 19.
Article em En | MEDLINE | ID: mdl-38502608
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/.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma Fúngico / Genes Fúngicos Idioma: En Revista: Database (Oxford) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma Fúngico / Genes Fúngicos Idioma: En Revista: Database (Oxford) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China