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Validation of a metabolite-GWAS network for Populus trichocarpa family 1 UDP-glycosyltransferases.
Saint-Vincent, Patricia M B; Furches, Anna; Galanie, Stephanie; Teixeira Prates, Erica; Aldridge, Jessa L; Labbe, Audrey; Zhao, Nan; Martin, Madhavi Z; Ranjan, Priya; Jones, Piet; Kainer, David; Kalluri, Udaya C; Chen, Jin-Gui; Muchero, Wellington; Jacobson, Daniel A; Tschaplinski, Timothy J.
  • Saint-Vincent PMB; Center for Bioenergy Innovation, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States.
  • Furches A; Bredesen Center for Interdisciplinary Research, University of Tennessee, Knoxville, TN, United States.
  • Galanie S; Center for Bioenergy Innovation, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States.
  • Teixeira Prates E; Protein Engineering, Merck & Co., Inc., Rahway, NJ, United States.
  • Aldridge JL; Center for Bioenergy Innovation, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States.
  • Labbe A; Department of Biomedical Sciences, Quillen College of Medicine, East Tennessee State University, Johnson City, TN, United States.
  • Zhao N; Center for Bioenergy Innovation, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States.
  • Martin MZ; School of Electrical Engineering, Southeast University, Nanjing, China.
  • Ranjan P; Center for Bioenergy Innovation, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States.
  • Jones P; Center for Bioenergy Innovation, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States.
  • Kainer D; Bredesen Center for Interdisciplinary Research, University of Tennessee, Knoxville, TN, United States.
  • Kalluri UC; Center for Bioenergy Innovation, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States.
  • Chen JG; Center for Bioenergy Innovation, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States.
  • Muchero W; Bredesen Center for Interdisciplinary Research, University of Tennessee, Knoxville, TN, United States.
  • Jacobson DA; Center for Bioenergy Innovation, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States.
  • Tschaplinski TJ; Bredesen Center for Interdisciplinary Research, University of Tennessee, Knoxville, TN, United States.
Front Plant Sci ; 14: 1210146, 2023.
Article en En | MEDLINE | ID: mdl-37546246
ABSTRACT
Metabolite genome-wide association studies (mGWASs) are increasingly used to discover the genetic basis of target phenotypes in plants such as Populus trichocarpa, a biofuel feedstock and model woody plant species. Despite their growing importance in plant genetics and metabolomics, few mGWASs are experimentally validated. Here, we present a functional genomics workflow for validating mGWAS-predicted enzyme-substrate relationships. We focus on uridine diphosphate-glycosyltransferases (UGTs), a large family of enzymes that catalyze sugar transfer to a variety of plant secondary metabolites involved in defense, signaling, and lignification. Glycosylation influences physiological roles, localization within cells and tissues, and metabolic fates of these metabolites. UGTs have substantially expanded in P. trichocarpa, presenting a challenge for large-scale characterization. Using a high-throughput assay, we produced substrate acceptance profiles for 40 previously uncharacterized candidate enzymes. Assays confirmed 10 of 13 leaf mGWAS associations, and a focused metabolite screen demonstrated varying levels of substrate specificity among UGTs. A substrate binding model case study of UGT-23 rationalized observed enzyme activities and mGWAS associations, including glycosylation of trichocarpinene to produce trichocarpin, a major higher-order salicylate in P. trichocarpa. We identified UGTs putatively involved in lignan, flavonoid, salicylate, and phytohormone metabolism, with potential implications for cell wall biosynthesis, nitrogen uptake, and biotic and abiotic stress response that determine sustainable biomass crop production. Our results provide new support for in silico analyses and evidence-based guidance for in vivo functional characterization.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2023 Tipo del documento: Article