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Underground metabolism: network-level perspective and biotechnological potential.
Notebaart, Richard A; Kintses, Bálint; Feist, Adam M; Papp, Balázs.
Afiliação
  • Notebaart RA; Laboratory of Food Microbiology, Department of Agrotechnology and Food Sciences, Wageningen University & Research, Bornse Weilanden 9, 6708WG Wageningen, the Netherlands. Electronic address: richard.notebaart@wur.nl.
  • Kintses B; Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, Temesvári krt. 62, H-6726 Szeged, Hungary.
  • Feist AM; Department of Bioengineering, University of California, 9500 Gilman Drive La Jolla, San Diego, CA 92093, USA; Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Building 220, Kemitorvet, 2800 Kgs. Lyngby, Denmark.
  • Papp B; Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, Temesvári krt. 62, H-6726 Szeged, Hungary.
Curr Opin Biotechnol ; 49: 108-114, 2018 02.
Article em En | MEDLINE | ID: mdl-28837944
ABSTRACT
A key challenge in molecular systems biology is understanding how new pathways arise during evolution and how to exploit them for biotechnological applications. New pathways in metabolic networks often evolve by recruiting weak promiscuous activities of pre-existing enzymes. Here we describe recent systems biology advances to map such 'underground' activities and to predict and analyze their contribution to new metabolic functions. Underground activities are prevalent in cellular metabolism and can form novel pathways that either enable evolutionary adaptation to new environments or provide bypass to genetic lesions. We also illustrate the potential of integrating computational models of underground metabolism and experimental approaches to study the evolution of novel metabolic phenotypes and advance the field of biotechnology.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biotecnologia / Redes e Vias Metabólicas Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biotecnologia / Redes e Vias Metabólicas Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article