Specificity and robustness in transcription control networks.
Recognition by transcription factors of the regulatory DNA elements upstream of genes is the fundamental step in controlling gene expression. How does the necessity to provide stability with respect to mutation constrain the organization of transcription control networks? We examine the mutation load of a transcription factor interacting with a set of n regulatory response elements as a function of the factor/DNA binding specificity and conclude on theoretical grounds that the optimal specificity decreases with n. The predicted correlation between variability of binding sites (for a given transcription factor) and their number is supported by the genomic data for Escherichia coli. The analysis of E. coli genomic data was carried out using an algorithm suggested by the biophysical model of transcription factor/DNA binding. Complete results of the search for candidate transcription factor binding sites are available at http://www.physics.rockefeller.edu/~boris/public/search_ecoli.
Sengupta
Anirvan M
AM
Bell Laboratories, Lucent Technologies, Murray Hill, NJ 07974, USA.
Djordjevic
Marko
M
Shraiman
Boris I
BI
D000465:Algorithms; D001665:Binding Sites; D005075:Biological Evolution; D004247:DNA / Q000235:genetics* / Q000378:metabolism; D004268:DNA-Binding Proteins / Q000378:metabolism; D004926:Escherichia coli / Q000235:genetics / Q000378:metabolism; D015233:Models, Statistical; D009154:Mutation; D020218:Response Elements; D014157:Transcription Factors; D014158:Transcription, Genetic
D004268:DNA-Binding Proteins; D014157:Transcription Factors; D004247:DNA