Optimality and evolutionary tuning of the expression level of a protein

By E. Dekel, Uri Alon. Nature, 2005

847 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/e4e6b3d468c1b55b44a0a137b69e6801601fad9c

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Citations in the corpus

Network motifs: theory and experimental approaches (2007, background): “To understand convergent network-motif evolution, it is important to note that transcription networks seem to rewire rapidly on evolutionary timescale”
Systematic exploration of ubiquitin sequence, E1 activation efficiency, and experimental fitness in yeast (2014, background): “While a wealth of studies demonstrate that the fitness effects of mutations are mediated by biochemical changes 19; 20; 21; 22; 23; 24; 25 , most systematic studies of mutants have focused predominantly on either growth effects 14; 26; 27 or biochemical effects 11; 28; 29; 30 .”
Substrate concentration constraints on microbial decomposition (2014, background): “For generalists or specialists, the costs of resource acquisition must be offset by the resource flux from soil substrates (Koch,1985; Dekel and Alon, 2005).”
The genetic code is nearly optimal for allowing additional information within protein-coding sequences. (2007, background): “It is believed that the number of peptide bonds produced per unit time is one of the main selection pressures in growing microorganisms (Dekel and Alon 2005; Wagner 2005a; Alon 2006).”
Enzyme promiscuity: a mechanistic and evolutionary perspective. (2010, background): “Second, expression of redundant mRNA and protein copies carries there exists a selection pressure to inactivate their expression (55, 168).”
Adaptive laboratory evolution – principles and applications for biotechnology (2013, background): “coli, it was shown that lacZ expression levels were evolutionary fine-tuned depending on the lactose concentration in the environment, in order to balance the cost of lacZ expression and increased fitness [68].”
Latent Effects of Hsp90 Mutants Revealed at Reduced Expression Levels (2013, background): “over a wide range of lactose concentrations [6].”
Tuning gene expression to changing environments: from rapid responses to evolutionary adaptation (2008, background): “coli lac operon is precisely optimized during evolution, reflecting the costs and benefits for different environment”
Quantifying absolute protein synthesis rates reveals principles underlying allocation of cellular resources. (2014, methodology): “coli (Dekel and Alon, 2005; Dong et al., 1995; Scott et al., 2010).”