title: Reconstruction of metabolic pathways for the cattle genome.
abstract: BACKGROUND
  Metabolic reconstruction of microbial, plant and animal genomes is a necessary step toward understanding the evolutionary origins of metabolism and species-specific adaptive traits. The aims of this study were to reconstruct conserved metabolic pathways in the cattle genome and to identify metabolic pathways with missing genes and proteins. The MetaCyc database and PathwayTools software suite were chosen for this work because they are widely used and easy to implement.
  
  
  RESULTS
  An amalgamated cattle genome database was created using the NCBI and Ensembl cattle genome databases (based on build 3.1) as data sources. PathwayTools was used to create a cattle-specific pathway genome database, which was followed by comprehensive manual curation for the reconstruction of metabolic pathways. The curated database, CattleCyc 1.0, consists of 217 metabolic pathways. A total of 64 mammalian-specific metabolic pathways were modified from the reference pathways in MetaCyc, and two pathways previously identified but missing from MetaCyc were added. Comparative analysis of metabolic pathways revealed the absence of mammalian genes for 22 metabolic enzymes whose activity was reported in the literature. We also identified six human metabolic protein-coding genes for which the cattle ortholog is missing from the sequence assembly.
  
  
  CONCLUSIONS
  CattleCyc is a powerful tool for understanding the biology of ruminants and other cetartiodactyl species. In addition, the approach used to develop CattleCyc provides a framework for the metabolic reconstruction of other newly sequenced mammalian genomes. It is clear that metabolic pathway analysis strongly reflects the quality of the underlying genome annotations. Thus, having well-annotated genomes from many mammalian species hosted in BioCyc will facilitate the comparative analysis of metabolic pathways among different species and a systems approach to comparative physiology.
authors.affiliation: Institute for Genomic Biology, University of Illinois at Urbana-Champaign, IL 61801, USA. swseo@uiuc.edu
authors.forename: Seongwon
authors.initials: S
authors.lastname: Seo
authors.forename: Harris A
authors.initials: HA
authors.lastname: Lewin
mesh_terms: D000818:Animals; D002417:Cattle / Q000235:genetics* / Q000378:metabolism*; D030541:Databases, Genetic; D016678:Genome; D023281:Genomics; D006801:Humans; D053858:Metabolic Networks and Pathways; D012984:Software; D013045:Species Specificity