TY - JOUR
T1 - Evolutionary comparisons suggest many novel cAMP response protein binding sites in Escherichia coli
AU - Brown, C. T.
AU - Callan, Curtis Gove
PY - 2004/2/22
Y1 - 2004/2/22
N2 - The cAMP response protein (CRP) is a transcription factor known to regulate many genes in Escherichia coli. Computational studies of transcription factor binding to DNA are usually based on a simple matrix model of sequence-dependent binding energy. For CRP, this model predicts many binding sites that are not known to be functional. If they are indeed spurious, the underlying binding model is called into question. We use a species comparison method to assess the functionality of a population of such predicted CRP sites in E. coli. We compare them with orthologous sites in Salmonella typhimurium identified independently by CLUSTALW alignment, and find a dependence of mutation probability on position in the site. This dependence increases with predicted site binding energy. The positions where mutation is most strongly suppressed are those where mutation would have the biggest effect on predicted binding energy. This finding suggests that many of the novel sites are functional, that the matrix model correctly estimates their binding strength, and that calculated CRP binding strength is the quantity that is conserved between species. The analysis also identifies many new E. coli binding sites and genes likely to be functional for CRP.
AB - The cAMP response protein (CRP) is a transcription factor known to regulate many genes in Escherichia coli. Computational studies of transcription factor binding to DNA are usually based on a simple matrix model of sequence-dependent binding energy. For CRP, this model predicts many binding sites that are not known to be functional. If they are indeed spurious, the underlying binding model is called into question. We use a species comparison method to assess the functionality of a population of such predicted CRP sites in E. coli. We compare them with orthologous sites in Salmonella typhimurium identified independently by CLUSTALW alignment, and find a dependence of mutation probability on position in the site. This dependence increases with predicted site binding energy. The positions where mutation is most strongly suppressed are those where mutation would have the biggest effect on predicted binding energy. This finding suggests that many of the novel sites are functional, that the matrix model correctly estimates their binding strength, and that calculated CRP binding strength is the quantity that is conserved between species. The analysis also identifies many new E. coli binding sites and genes likely to be functional for CRP.
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U2 - 10.1073/pnas.0308628100
DO - 10.1073/pnas.0308628100
M3 - Article
C2 - 14983022
AN - SCOPUS:1442306129
SN - 0027-8424
VL - 101
SP - 2404
EP - 2409
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
IS - 8
ER -