Your browser doesn't support javascript.
loading
Correlative metabologenomics of 110 fungi reveals metabolite-gene cluster pairs.
Caesar, Lindsay K; Butun, Fatma A; Robey, Matthew T; Ayon, Navid J; Gupta, Raveena; Dainko, David; Bok, Jin Woo; Nickles, Grant; Stankey, Robert J; Johnson, Don; Mead, David; Cank, Kristof B; Earp, Cody E; Raja, Huzefa A; Oberlies, Nicholas H; Keller, Nancy P; Kelleher, Neil L.
Afiliação
  • Caesar LK; Department of Chemistry, Northwestern University, Evanston, IL, USA.
  • Butun FA; Department of Chemistry, Northwestern University, Evanston, IL, USA.
  • Robey MT; Department of Molecular Biosciences, Northwestern University, Evanston, IL, USA.
  • Ayon NJ; Department of Chemistry, Northwestern University, Evanston, IL, USA.
  • Gupta R; Department of Chemistry, Northwestern University, Evanston, IL, USA.
  • Dainko D; Department of Chemistry, Northwestern University, Evanston, IL, USA.
  • Bok JW; Department of Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI, USA.
  • Nickles G; Department of Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI, USA.
  • Stankey RJ; Terra Bioforge, Madison, WI, USA.
  • Johnson D; Terra Bioforge, Madison, WI, USA.
  • Mead D; Terra Bioforge, Madison, WI, USA.
  • Cank KB; Department of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, USA.
  • Earp CE; Department of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, USA.
  • Raja HA; Department of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, USA.
  • Oberlies NH; Department of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, USA.
  • Keller NP; Department of Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI, USA.
  • Kelleher NL; Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA.
Nat Chem Biol ; 19(7): 846-854, 2023 07.
Article em En | MEDLINE | ID: mdl-36879060
Natural products research increasingly applies -omics technologies to guide molecular discovery. While the combined analysis of genomic and metabolomic datasets has proved valuable for identifying natural products and their biosynthetic gene clusters (BGCs) in bacteria, this integrated approach lacks application to fungi. Because fungi are hyper-diverse and underexplored for new chemistry and bioactivities, we created a linked genomics-metabolomics dataset for 110 Ascomycetes, and optimized both gene cluster family (GCF) networking parameters and correlation-based scoring for pairing fungal natural products with their BGCs. Using a network of 3,007 GCFs (organized from 7,020 BGCs), we examined 25 known natural products originating from 16 known BGCs and observed statistically significant associations between 21 of these compounds and their validated BGCs. Furthermore, the scalable platform identified the BGC for the pestalamides, demystifying its biogenesis, and revealed more than 200 high-scoring natural product-GCF linkages to direct future discovery.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Produtos Biológicos / Genômica Tipo de estudo: Prognostic_studies Idioma: En Revista: Nat Chem Biol Assunto da revista: BIOLOGIA / QUIMICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Produtos Biológicos / Genômica Tipo de estudo: Prognostic_studies Idioma: En Revista: Nat Chem Biol Assunto da revista: BIOLOGIA / QUIMICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos