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      Anatomy of Escherichia coli σ 70 promoters

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          Abstract

          Information theory was used to build a promoter model that accounts for the −10, the −35 and the uncertainty of the gap between them on a common scale. Helical face assignment indicated that base −7, rather than −11, of the −10 may be flipping to initiate transcription. We found that the sequence conservation of σ 70 binding sites is 6.5 ± 0.1 bits. Some promoters lack a −35 region, but have a 6.7 ± 0.2 bit extended −10, almost the same information as the bipartite promoter. These results and similarities between the contacts in the extended −10 binding and the −35 suggest that the flexible bipartite σ factor evolved from a simpler polymerase. Binding predicted by the bipartite model is enriched around 35 bases upstream of the translational start. This distance is the smallest 5′ mRNA leader necessary for ribosome binding, suggesting that selective pressure minimizes transcript length. The promoter model was combined with models of the transcription factors Fur and Lrp to locate new promoters, to quantify promoter strengths, and to predict activation and repression. Finally, the DNA-bending proteins Fis, H-NS and IHF frequently have sites within one DNA persistence length from the −35, so bending allows distal activators to reach the polymerase.

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          Most cited references105

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          The regulation of bacterial transcription initiation.

          Bacteria use their genetic material with great effectiveness to make the right products in the correct amounts at the appropriate time. Studying bacterial transcription initiation in Escherichia coli has served as a model for understanding transcriptional control throughout all kingdoms of life. Every step in the pathway between gene and function is exploited to exercise this control, but for reasons of economy, it is plain that the key step to regulate is the initiation of RNA-transcript formation.
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            Flexibility of DNA.

            P Hagerman (1988)
            Both microscopic and macroscopic models of DNA flexibility should lead to the same quantitative description of the elastic properties of the DNA helix. This belief is reinforced by the fact that essentially all experimental (solution) studies to date support the macroscopic, elastic model. The performance of microscopic models can therefore be checked by their ability to produce the correct macroscopic quantities (P and C). To most carefully address the influence of such factors as base sequence, DNA damage, and drug or protein interaction on the flexibility of DNA, methods are required that are most sensitive for DNA molecules of less than 500-1000 bp. The use of molecules in this size range will maximize the signal due to the structural alteration as well as facilitate the construction of DNA sequences of any desired arrangement. I have emphasized three such methods and summarized their strengths and weaknesses; however, their concurrent application to the determination of DNA flexibility provides an important check of self-consistency. These studies have indicated that the persistence length of DNA in buffers of moderate salt concentration is 450-500 A. Synthetic DNA is now readily available, and many procedures for the construction and cloning of DNA molecules of defined length and sequence (107-108a) are in common use. The availability of restriction fragments of precisely defined length has transformed the study of the physical (particularly hydrodynamic) properties of such molecules, since the hitherto pervasive problem of length polydispersity has been eliminated. Sheared, sonicated, or otherwise abused calf thymus (or other) DNAs should no longer be considered acceptable materials for physical studies. Many studies of bending and torsional fluctuations in DNA have been excluded from this discussion because the DNA samples used were not precisely defined. The torsional elastic constant of DNA has been fairly well established as approximately 3.0 x 10(-19) erg-cm, mainly through a combination of elegant theoretical and experimental studies of topoisomer distributions in circular DNA molecules. The other general approach to the determination of the torsional elastic constant, luminescence decay, is still burdened by the poor characterization of the DNA used in many of the experimental studies as well as by some continued theoretical uncertainties.(ABSTRACT TRUNCATED AT 400 WORDS)
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              Information content of binding sites on nucleotide sequences.

              Repressors, polymerases, ribosomes and other macromolecules bind to specific nucleic acid sequences. They can find a binding site only if the sequence has a recognizable pattern. We define a measure of the information (R sequence) in the sequence patterns at binding sites. It allows one to investigate how information is distributed across the sites and to compare one site to another. One can also calculate the amount of information (R frequency) that would be required to locate the sites, given that they occur with some frequency in the genome. Several Escherichia coli binding sites were analyzed using these two independent empirical measurements. The two amounts of information are similar for most of the sites we analyzed. In contrast, bacteriophage T7 RNA polymerase binding sites contain about twice as much information as is necessary for recognition by the T7 polymerase, suggesting that a second protein may bind at T7 promoters. The extra information can be accounted for by a strong symmetry element found at the T7 promoters. This element may be an operator. If this model is correct, these promoters and operators do not share much information. The comparisons between R sequence and R frequency suggest that the information at binding sites is just sufficient for the sites to be distinguished from the rest of the genome.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                February 2007
                22 December 2006
                22 December 2006
                : 35
                : 3
                : 771-788
                Affiliations
                Center for Cancer Research Nanobiology Program, National Cancer Institute at Frederick PO Box B, Building 469, Room 144, Frederick, MD 21702-1201, USA
                Author notes
                *To whom correspondence should be addressed. Tel: +1 301 846 5581; Fax: +1 301 846 5598; Email: toms@ 123456ncifcrf.gov

                Present addresses: Ryan K. Shultzaberger, Department of Molecular and Cell Biology, University of California, 16 Barker Hall, Berkeley, CA 94720-3202, USA

                Karen A. Lewis, Department of Physiology, University of Texas Southwestern Medical Center at Dallas, 5323 Harry Hines Blvd, Dallas, TX 75390-9040, USA

                Article
                10.1093/nar/gkl956
                1807945
                17189297
                866a51fc-8922-430f-b187-155eb5f891c4
                Published by Oxford University Press 2006

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 09 September 2006
                : 23 October 2006
                : 24 October 2006
                Categories
                Computational Biology

                Genetics
                Genetics

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