Genome concentration limits cell growth and modulates proteome composition in Escherichia coli

Defining the cellular factors that drive growth rate and proteome composition is essential for understanding and manipulating cellular systems. In bacteria, ribosome concentration is known to be a constraining factor of cell growth rate, while gene concentration is usually assumed not to be limiting...

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Veröffentlicht in:eLife 2024-12, Vol.13
Hauptverfasser: Mäkelä, Jarno, Papagiannakis, Alexandros, Lin, Wei-Hsiang, Lanz, Michael Charles, Glenn, Skye, Swaffer, Matthew, Marinov, Georgi K, Skotheim, Jan M, Jacobs-Wagner, Christine
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Sprache:eng
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Zusammenfassung:Defining the cellular factors that drive growth rate and proteome composition is essential for understanding and manipulating cellular systems. In bacteria, ribosome concentration is known to be a constraining factor of cell growth rate, while gene concentration is usually assumed not to be limiting. Here, using single-molecule tracking, quantitative single-cell microscopy, and modeling, we show that genome dilution in cells arrested for DNA replication limits total RNA polymerase activity within physiological cell sizes across tested nutrient conditions. This rapid-onset limitation on bulk transcription results in sub-linear scaling of total active ribosomes with cell size and sub-exponential growth. Such downstream effects on bulk translation and cell growth are near-immediately detectable in a nutrient-rich medium, but delayed in nutrient-poor conditions, presumably due to cellular buffering activities. RNA sequencing and tandem-mass-tag mass spectrometry experiments further reveal that genome dilution remodels the relative abundance of mRNAs and proteins with cell size at a global level. Altogether, our findings indicate that chromosome concentration is a limiting factor of transcription and a global modulator of the transcriptome and proteome composition in . Experiments in and comparison with eukaryotic cell studies identify broadly conserved DNA concentration-dependent scaling principles of gene expression.
ISSN:2050-084X
2050-084X
DOI:10.7554/eLife.97465