4.8 Article

Whole-cell modeling of E. coli confirms that in vitro tRNA aminoacylation measurements are insufficient to support cell growth and predicts a positive feedback mechanism regulating arginine biosynthesis

Journal

NUCLEIC ACIDS RESEARCH
Volume 51, Issue 12, Pages 5911-5930

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkad435

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In this study, a whole-cell model was used to investigate the inconsistencies between in vitro tRNA aminoacylation measurements and in vivo protein synthesis demands in E. coli. The results showed that kinetic measurements of aminoacyl-tRNA synthetase were insufficient for cellular proteome maintenance, leading to significant impacts on cellular phenotypes. This study deepens our understanding of translation in an in vivo context.
In Escherichia coli, inconsistencies between in vitro tRNA aminoacylation measurements and in vivo protein synthesis demands were postulated almost 40 years ago, but have proven difficult to confirm. Whole-cell modeling can test whether a cell behaves in a physiologically correct manner when parameterized with in vitro measurements by providing a holistic representation of cellular processes in vivo. Here, a mechanistic model of tRNA aminoacylation, codon-based polypeptide elongation, and N-terminal methionine cleavage was incorporated into a developing whole-cell model of E. coli. Subsequent analysis confirmed the insufficiency of aminoacyl-tRNA synthetase kinetic measurements for cellular proteome maintenance, and estimated aminoacyl-tRNA synthetase k(cat)s that were on average 7.6-fold higher. Simulating cell growth with perturbed k(cat)s demonstrated the global impact of these in vitro measurements on cellular phenotypes. For example, an insufficient k(cat) for HisRS caused protein synthesis to be less robust to the natural variability in aminoacyl-tRNA synthetase expression in single cells. More surprisingly, insufficient ArgRS activity led to catastrophic impacts on arginine biosynthesis due to underexpressed N-acetylglutamate synthase, where translation depends on repeated CGG codons. Overall, the expanded E. coli model deepens understanding of how translation operates in an in vivo context.

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