Your browser doesn't support javascript.
loading
Robustness: linking strain design to viable bioprocesses.
Olsson, Lisbeth; Rugbjerg, Peter; Torello Pianale, Luca; Trivellin, Cecilia.
Afiliação
  • Olsson L; Department of Biology and Biological Engineering, Division of Industrial Biotechnology, Chalmers University of Technology, Kemivägen 10, 412 96 Gothenburg, Sweden. Electronic address: lisbeth.olsson@chalmers.se.
  • Rugbjerg P; Department of Biology and Biological Engineering, Division of Industrial Biotechnology, Chalmers University of Technology, Kemivägen 10, 412 96 Gothenburg, Sweden; Enduro Genetics ApS, Copenhagen, Denmark.
  • Torello Pianale L; Department of Biology and Biological Engineering, Division of Industrial Biotechnology, Chalmers University of Technology, Kemivägen 10, 412 96 Gothenburg, Sweden.
  • Trivellin C; Department of Biology and Biological Engineering, Division of Industrial Biotechnology, Chalmers University of Technology, Kemivägen 10, 412 96 Gothenburg, Sweden.
Trends Biotechnol ; 40(8): 918-931, 2022 08.
Article em En | MEDLINE | ID: mdl-35120750
ABSTRACT
Microbial cell factories are becoming increasingly popular for the sustainable production of various chemicals. Metabolic engineering has led to the design of advanced cell factories; however, their long-term yield, titer, and productivity falter when scaled up and subjected to industrial conditions. This limitation arises from a lack of robustness - the ability to maintain a constant phenotype despite the perturbations of such processes. This review describes predictable and stochastic industrial perturbations as well as state-of-the-art technologies to counter process variability. Moreover, we distinguish robustness from tolerance and discuss the potential of single-cell studies for improving system robustness. Finally, we highlight ways of achieving consistent and comparable quantification of robustness that can guide the selection of strains for industrial bioprocesses.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Microbiologia Industrial / Engenharia Metabólica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Trends Biotechnol Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Microbiologia Industrial / Engenharia Metabólica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Trends Biotechnol Ano de publicação: 2022 Tipo de documento: Article