Proceedings of the National Academy of SciencesSystems BiologyPeer-reviewed journal article
How total mRNA influences cell growth
Ludovico CalabreseiD, Luca CiandriniiD, Marco Cosentino LagomarsinoiD
Abstract
Experimental observations tracing back to the 1960s imply that ribosome quantities play a prominent role in determining a cells growth. Nevertheless, in biologically relevant scenarios, growth can also be influenced by the levels of mRNA and RNA polymerase. Here, we construct a quantitative model of biosynthesis providing testable scenarios for these situations. The model explores a theoretically-motivated regime where RNA polymerases compete for genes and ribosomes for transcripts, and gives general expressions relating growth rate, mRNA concentrations, ribosome and RNA polymerase levels. On general grounds, the model predicts how the fraction of ribosomes in the proteome depends on total mRNA concentration, and inspects an underexplored regime in which the trade-off between transcript levels and ribosome abundances sets the cellular growth rate. In particular, we show that the model predicts and clarifies three important experimental observations, in budding yeast and E. coli bacteria: (i) that the growth-rate cost of unneeded protein expression can be affected by mRNA levels, (ii) that resource optimization leads to decreasing trends in mRNA levels at slow growth, and (iii) that ribosome allocation may increase, stay constant, or decrease, in response to transcription-inhibiting antibiotics. Since the data indicate that a regime of joint limitation may apply in physiological conditions and not only to perturbations, we speculate that this regime is likely self-imposed.
- organism: yeast
- organism: bacteria (other)
- assay: metagenomics
- assay: proteomics
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: benchmarking
- approach: statistical model
- Citations
- 24
- FWCI
- 3.26
- Field percentile
- top 6%
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