Your browser doesn't support javascript.
loading
A kinetic framework for modeling oleochemical biosynthesis in Escherichia coli.
Peoples, Jackson; Ruppe, Sophia; Mains, Kathryn; Cipriano, Elia C; Fox, Jerome M.
Afiliação
  • Peoples J; Department of Chemical and Biological Engineering, University of Colorado, Boulder, Boulder, Colorado, USA.
  • Ruppe S; Department of Chemical and Biological Engineering, University of Colorado, Boulder, Boulder, Colorado, USA.
  • Mains K; Department of Chemical and Biological Engineering, University of Colorado, Boulder, Boulder, Colorado, USA.
  • Cipriano EC; Department of Chemical and Biological Engineering, University of Colorado, Boulder, Boulder, Colorado, USA.
  • Fox JM; Department of Chemical and Biological Engineering, University of Colorado, Boulder, Boulder, Colorado, USA.
Biotechnol Bioeng ; 119(11): 3149-3161, 2022 11.
Article em En | MEDLINE | ID: mdl-35959746
ABSTRACT
Microorganisms build fatty acids with biocatalytic assembly lines, or fatty acid synthases (FASs), that can be repurposed to produce a broad set of fuels and chemicals. Despite their versatility, the product profiles of FAS-based pathways are challenging to adjust without experimental iteration, and off-target products are common. This study uses a detailed kinetic model of the Escherichia coli FAS as a foundation to model nine oleochemical pathways. These models provide good fits to experimental data and help explain unexpected results from in vivo studies. An analysis of pathways for alkanes and fatty acid ethyl esters (FAEEs), for example, suggests that reductions in titer caused by enzyme overexpression-an experimentally consistent phenomenon-can result from shifts in metabolite pools that are incompatible with the substrate specificities of downstream enzymes, and a focused examination of multiple alcohol pathways indicates that coordinated shifts in enzyme concentrations provide a general means of tuning the product profiles of pathways with promiscuous components. The study concludes by integrating all models into a graphical user interface. The models supplied by this work provide a versatile kinetic framework for studying oleochemical pathways in different biochemical contexts.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 3_ND Base de dados: MEDLINE Assunto principal: Escherichia coli / Engenharia Metabólica Idioma: En Revista: Biotechnol Bioeng Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 3_ND Base de dados: MEDLINE Assunto principal: Escherichia coli / Engenharia Metabólica Idioma: En Revista: Biotechnol Bioeng Ano de publicação: 2022 Tipo de documento: Article