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An expanded whole-cell model of E. coli links cellular physiology with mechanisms of growth rate control.
Ahn-Horst, Travis A; Mille, Luis Santiago; Sun, Gwanggyu; Morrison, Jerry H; Covert, Markus W.
Afiliación
  • Ahn-Horst TA; Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
  • Mille LS; Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
  • Sun G; Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
  • Morrison JH; Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
  • Covert MW; Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA. mcovert@stanford.edu.
NPJ Syst Biol Appl ; 8(1): 30, 2022 08 19.
Article en En | MEDLINE | ID: mdl-35986058
ABSTRACT
Growth and environmental responses are essential for living organisms to survive and adapt to constantly changing environments. In order to simulate new conditions and capture dynamic responses to environmental shifts in a developing whole-cell model of E. coli, we incorporated additional regulation, including dynamics of the global regulator guanosine tetraphosphate (ppGpp), along with dynamics of amino acid biosynthesis and translation. With the model, we show that under perturbed ppGpp conditions, small molecule feedback inhibition pathways, in addition to regulation of expression, play a role in ppGpp regulation of growth. We also found that simulations with dysregulated amino acid synthesis pathways provide average amino acid concentration predictions that are comparable to experimental results but on the single-cell level, concentrations unexpectedly show regular fluctuations. Additionally, during both an upshift and downshift in nutrient availability, the simulated cell responds similarly with a transient increase in the mRNArRNA ratio. This additional simulation functionality should support a variety of new applications and expansions of the E. coli Whole-Cell Modeling Project.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Escherichia coli / Guanosina Tetrafosfato Tipo de estudio: Prognostic_studies Idioma: En Revista: NPJ Syst Biol Appl Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Escherichia coli / Guanosina Tetrafosfato Tipo de estudio: Prognostic_studies Idioma: En Revista: NPJ Syst Biol Appl Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos