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Translation elicits a growth rate-dependent, genome-wide, differential protein production in Bacillus subtilis.


ABSTRACT: Complex regulatory programs control cell adaptation to environmental changes by setting condition-specific proteomes. In balanced growth, bacterial protein abundances depend on the dilution rate, transcript abundances and transcript-specific translation efficiencies. We revisited the current theory claiming the invariance of bacterial translation efficiency. By integrating genome-wide transcriptome datasets and datasets from a library of synthetic gfp-reporter fusions, we demonstrated that translation efficiencies in Bacillus subtilis decreased up to fourfold from slow to fast growth. The translation initiation regions elicited a growth rate-dependent, differential production of proteins without regulators, hence revealing a unique, hard-coded, growth rate-dependent mode of regulation. We combined model-based data analyses of transcript and protein abundances genome-wide and revealed that this global regulation is extensively used in B. subtilis We eventually developed a knowledge-based, three-step translation initiation model, experimentally challenged the model predictions and proposed that a growth rate-dependent drop in free ribosome abundance accounted for the differential protein production.

SUBMITTER: Borkowski O 

PROVIDER: S-EPMC5683663 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature

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Translation elicits a growth rate-dependent, genome-wide, differential protein production in Bacillus subtilis.

Borkowski Olivier O   Goelzer Anne A   Schaffer Marc M   Calabre Magali M   Mäder Ulrike U   Aymerich Stéphane S   Jules Matthieu M   Fromion Vincent V  

Molecular systems biology 20160517 5


Complex regulatory programs control cell adaptation to environmental changes by setting condition-specific proteomes. In balanced growth, bacterial protein abundances depend on the dilution rate, transcript abundances and transcript-specific translation efficiencies. We revisited the current theory claiming the invariance of bacterial translation efficiency. By integrating genome-wide transcriptome datasets and datasets from a library of synthetic gfp-reporter fusions, we demonstrated that trans  ...[more]

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