Unknown

Dataset Information

0

Protein overabundance is driven by growth robustness.


ABSTRACT: Protein expression levels optimize cell fitness: Too low an expression level of essential proteins will slow growth by compromising essential processes; whereas overexpression slows growth by increasing the metabolic load. This trade-off naïvely predicts that cells maximize their fitness by sufficiency, expressing just enough of each essential protein for function. We test this prediction in the naturally-competent bacterium Acinetobacter baylyi by characterizing the proliferation dynamics of essential-gene knockouts at a single-cell scale (by imaging) as well as at a genome-wide scale (by TFNseq). In these experiments, cells proliferate for multiple generations as target protein levels are diluted from their endogenous levels. This approach facilitates a proteome-scale analysis of protein overabundance. As predicted by the Robustness-Load Trade-Off (RLTO) model, we find that roughly 70% of essential proteins are overabundant and that overabundance increases as the expression level decreases, the signature prediction of the model. These results reveal that robustness plays a fundamental role in determining the expression levels of essential genes and that overabundance is a key mechanism for ensuring robust growth.

SUBMITTER: Choi HJ 

PROVIDER: S-EPMC11343162 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature

altmetric image

Publications

Protein overabundance is driven by growth robustness.

Choi H James HJ   Lo Teresa W TW   Cutler Kevin J KJ   Huang Dean D   Will W Ryan WR   Wiggins Paul A PA  

bioRxiv : the preprint server for biology 20240817


Protein expression levels optimize cell fitness: Too low an expression level of essential proteins will slow growth by compromising essential processes; whereas overexpression slows growth by increasing the metabolic load. This trade-off naïvely predicts that cells maximize their fitness by sufficiency, expressing just enough of each essential protein for function. We test this prediction in the naturally-competent bacterium <i>Acinetobacter baylyi</i> by characterizing the proliferation dynamic  ...[more]

Similar Datasets

| S-EPMC11383435 | biostudies-literature
| S-EPMC4721099 | biostudies-literature
| S-EPMC7101377 | biostudies-literature
2015-11-06 | E-GEOD-65718 | biostudies-arrayexpress
2015-11-06 | GSE65718 | GEO
| S-EPMC3955891 | biostudies-literature
| S-EPMC5451217 | biostudies-literature
| S-EPMC8138522 | biostudies-literature
| S-EPMC4636289 | biostudies-literature
| S-EPMC11324034 | biostudies-literature