| Literature DB >> 33784029 |
Drew S Tack1, Peter D Tonner1, Abe Pressman1, Nathan D Olson1, Sasha F Levy2,3, Eugenia F Romantseva1, Nina Alperovich1, Olga Vasilyeva1, David Ross1.
Abstract
Allostery is a fundamental biophysical mechanism that underlies cellular sensing, signaling, and metabolism. Yet a quantitative understanding of allosteric genotype-phenotype relationships remains elusive. Here, we report the large-scale measurement of the genotype-phenotype landscape for an allosteric protein: the lac repressor from Escherichia coli, LacI. Using a method that combines long-read and short-read DNA sequencing, we quantitatively measure the dose-response curves for nearly 105 variants of the LacI genetic sensor. The resulting data provide a quantitative map of the effect of amino acid substitutions on LacI allostery and reveal systematic sequence-structure-function relationships. We find that in many cases, allosteric phenotypes can be quantitatively predicted with additive or neural-network models, but unpredictable changes also occur. For example, we were surprised to discover a new band-stop phenotype that challenges conventional models of allostery and that emerges from combinations of nearly silent amino acid substitutions.Entities:
Keywords: allostery; genetic sensor; genotype-phenotype relationships; high-throughput measurements; transcription factor
Mesh:
Substances:
Year: 2021 PMID: 33784029 PMCID: PMC8009258 DOI: 10.15252/msb.202010179
Source DB: PubMed Journal: Mol Syst Biol ISSN: 1744-4292 Impact factor: 11.429