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Proteome partitioning constraints in long-term laboratory evolution.
Mori, Matteo; Patsalo, Vadim; Euler, Christian; Williamson, James R; Scott, Matthew.
Affiliation
  • Mori M; Department of Physics, University of California at San Diego, La Jolla, CA, USA.
  • Patsalo V; Department of Integrative Structural and Computational Biology, The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA, USA.
  • Euler C; Department of Chemical Engineering, University of Waterloo, Waterloo, ON, Canada.
  • Williamson JR; Department of Integrative Structural and Computational Biology, The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA, USA.
  • Scott M; Waterloo Centre for Microbial Research and the Department of Applied Mathematics, University of Waterloo, Waterloo, ON, Canada. mscott@uwaterloo.ca.
Nat Commun ; 15(1): 4087, 2024 May 14.
Article in En | MEDLINE | ID: mdl-38744842
ABSTRACT
Adaptive laboratory evolution experiments provide a controlled context in which the dynamics of selection and adaptation can be followed in real-time at the single-nucleotide level. And yet this precision introduces hundreds of degrees-of-freedom as genetic changes accrue in parallel lineages over generations. On short timescales, physiological constraints have been leveraged to provide a coarse-grained view of bacterial gene expression characterized by a small set of phenomenological parameters. Here, we ask whether this same framework, operating at a level between genotype and fitness, informs physiological changes that occur on evolutionary timescales. Using a strain adapted to growth in glucose minimal medium, we find that the proteome is substantially remodeled over 40 000 generations. The most striking change is an apparent increase in enzyme efficiency, particularly in the enzymes of lower-glycolysis. We propose that deletion of metabolic flux-sensing regulation early in the adaptation results in increased enzyme saturation and can account for the observed proteome remodeling.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Proteome / Escherichia coli Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2024 Document type: Article Affiliation country: United States Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Proteome / Escherichia coli Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2024 Document type: Article Affiliation country: United States Country of publication: United kingdom