Enhancing a Pathway-Genome Database (PGDB) to Capture Subcellular Localization of Metabolites and Enzymes: The Nucleotide-Sugar Biosynthetic Pathways of Populus trichocarpa

Nag, Ambarish; Karpinets, Tatiana V.; Chang, Christopher H.; Bar-Peled, Maor

doi:10.1093/database/bas013

Title: Enhancing a Pathway-Genome Database (PGDB) to Capture Subcellular Localization of Metabolites and Enzymes: The Nucleotide-Sugar Biosynthetic Pathways of Populus trichocarpa

Journal Article · Sun Jan 01 00:00:00 EST 2012 · Database: The Journal of Biological Databases and Curation

DOI:https://doi.org/10.1093/database/bas013· OSTI ID:1044473

Nag, Ambarish; Karpinets, Tatiana V.; Chang, Christopher H.; Bar-Peled, Maor

Understanding how cellular metabolism works and is regulated requires that the underlying biochemical pathways be adequately represented and integrated with large metabolomic data sets to establish a robust network model. Genetically engineering energy crops to be less recalcitrant to saccharification requires detailed knowledge of plant polysaccharide structures and a thorough understanding of the metabolic pathways involved in forming and regulating cell-wall synthesis. Nucleotide-sugars are building blocks for synthesis of cell wall polysaccharides. The biosynthesis of nucleotide-sugars is catalyzed by a multitude of enzymes that reside in different subcellular organelles, and precise representation of these pathways requires accurate capture of this biological compartmentalization. The lack of simple localization cues in genomic sequence data and annotations however leads to missing compartmentalization information for eukaryotes in automatically generated databases, such as the Pathway-Genome Databases (PGDBs) of the SRI Pathway Tools software that drives much biochemical knowledge representation on the internet. In this report, we provide an informal mechanism using the existing Pathway Tools framework to integrate protein and metabolite sub-cellular localization data with the existing representation of the nucleotide-sugar metabolic pathways in a prototype PGDB for Populus trichocarpa. The enhanced pathway representations have been successfully used to map SNP abundance data to individual nucleotide-sugar biosynthetic genes in the PGDB. The manually curated pathway representations are more conducive to the construction of a computational platform that will allow the simulation of natural and engineered nucleotide-sugar precursor fluxes into specific recalcitrant polysaccharide(s).

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Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE Office of Science, BioEnergy Science Center; National Science Foundation (NSF)

DOE Contract Number:: AC36-08GO28308

OSTI ID:: 1044473

Report Number(s):: NREL/JA-2C00-55001; TRN: US201214%%449

Journal Information:: Database: The Journal of Biological Databases and Curation, Vol. 2012, Issue 2012; Related Information: Article ID bas013

Country of Publication:: United States

Language:: English

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Title: Enhancing a Pathway-Genome Database (PGDB) to Capture Subcellular Localization of Metabolites and Enzymes: The Nucleotide-Sugar Biosynthetic Pathways of Populus trichocarpa

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