title: New approach for phylogenetic tree recovery based on genome-scale metabolic networks.
abstract: A wide range of applications and research has been done with genome-scale metabolic models. In this work, we describe an innovative methodology for comparing metabolic networks constructed from genome-scale metabolic models and how to apply this comparison in order to infer evolutionary distances between different organisms. Our methodology allows a quantification of the metabolic differences between different species from a broad range of families and even kingdoms. This quantification is then applied in order to reconstruct phylogenetic trees for sets of various organisms.
authors.affiliation: 1 Cátedra Energesis de Tecnología Interdisciplinar, Universidad Católica de Valencia San Vicente Mártir , Valencia, Spain .
authors.forename: Daniel
authors.initials: D
authors.lastname: Gamermann
authors.forename: Arnaud
authors.initials: A
authors.lastname: Montagud
authors.forename: J Alberto
authors.initials: JA
authors.lastname: Conejero
authors.forename: Javier F
authors.initials: JF
authors.lastname: Urchueguía
authors.forename: Pedro Fernández
authors.initials: PF
authors.lastname: de Córdoba
mesh_terms: D000465:Algorithms; D001419:Bacteria / Q000145:classification* / Q000235:genetics / Q000378:metabolism*; D019295:Computational Biology / Q000379:methods*; D019143:Evolution, Molecular; D016680:Genome, Bacterial; D053858:Metabolic Networks and Pathways; D010802:Phylogeny
keywords: connectivity; genome-scale metabolic models; networks; phylogeny