Compilation and analysis of Escherichia coli promoter DNA sequences.

The DNA sequence of 168 promoter regions (-50 to +10) for Escherichia coli RNA polymerase were compiled. The complete listing was divided into two groups depending upon whether or not the promoter had been defined by genetic (promoter mutations) or biochemical (5' end determination) criteria. A consensus promoter sequence based on homologies among 112 well-defined promoters was determined that was in substantial agreement with previous compilations. In addition, we have tabulated 98 promoter mutations. Nearly all of the altered base pairs in the mutants conform to the following general rule: down-mutations decrease homology and up-mutations increase homology to the consensus sequence.     

Discriminant analysis of promoter regions in Escherichia coli sequences

We have previously developed a general method based on the statisticaltechnique of discriminant analysis to predict splice junctionsin eukaryotic mRNA sequences [Nakata, K., Kanehisa, M. and DeLisi,C. (1985) Nucleic Acids Res., 13, 5327–5340]. In orderto evaluate further applicability of this method, we now analyzethe promoter region of Escherichia coli sequences. The attributesused for discrimination include the accuracy of consensus sequencepatterns measured by the perceptron algorithm, the thermal stabilitymap, the base composition and the Calladine-Dickerson rulesfor helical twist angle, roll angle, torsion angle and propellertwist angle. When applied to selected E. coli sequences in theGenBank database, the method correctly identifies 75 % of thetrue promoter regions. Received on May 15, 1987; accepted on April 17, 1988     

Rigorous pattern-recognition methods for DNA sequences. Analysis of promoter sequences from Escherichia coli

The basic nature of the sequence features that define a promoter sequence for Escherichia coli RNA polymerase have been established by a variety of biochemical and genetic methods. We have developed rigorous analytical methods for finding unknown patterns that occur imperfectly in a set of several sequences, and have used them to examine a set of bacterial promoters. The algorithm easily discovers the "consensus" sequences for the -10 and -35 regions, which are essentially identical to the results of previous analyses, but requires no prior assumptions about the common patterns. By explicitly specifying the nature of the search for consensus sequences, we give a rigorous definition to this concept that should be widely applicable. We also have provided estimates for the statistical significance of common patterns discovered in sets of sequences. In addition to providing a rigorous basis for defining known consensus regions, we have found additional features in these promoters that may have functional significance. These added features were located on either side of the -35 region. The pattern 5', or upstream, from the -35 region was found using the standard alphabet (A, G, C and T), but the pattern between the -10 and the -35 regions was detectable only in a sub-alphabet. Recent results relating DNA sequence to helix conformation suggest that the former (upstream) pattern may have a functional significance. Possible roles in promoter function are discussed in this light, and an observation of altered promoter function involving the upstream region is reported that appears to support the suggestion of function in at least one case.     

YhdJ, a nonessential CcrM-like DNA methyltransferase of Escherichia coli and Salmonella enterica

The Caulobacter crescentus DNA adenine methyltransferase CcrM and its homologs in the alpha-Proteobacteria are essential for viability. CcrM is 34% identical to the yhdJ gene products of Escherichia coli and Salmonella enterica. This study provides evidence that the E. coli yhdJ gene encodes a DNA adenine methyltransferase. In contrast to an earlier report, however, we show that yhdJ is not an essential gene in either E. coli or S. enterica.     

Characterization by deletion mutagenesis in vitro of the promoter region of ompF, a positively regulated gene of Escherichia coli

The ompF gene codes for a major outer membrane protein whose expression is positively regulated by the ompR and envZ genes. Two sets of promoter deletions, upstream deletions and downstream deletions, were generated in vitro, and the promoter function was studied by connecting them with the tet genes. One of the hybrid genes thus constructed had a functioning ompF-tet hybrid promoter. The 107 base-pair fragment was found to be functioning as the ompF promoter, 90 nucleotides upstream and 17 nucleotides downstream of the mRNA start site that was also determined in this study. The start site was preceded by a convenient Pribnow box. Although the sequence at the -35 region had a low degree of homology to the consensus sequence, analyses of the hybrid promoter suggested that this region is involved in the promoter function in relation to the Pribnow box. They also indicated that the domain responsible for regulation by the ompR gene is located within the -35 region and its upstream region.     

The first gene in the Escherichia coli secA operon, gene X, encodes a nonessential secretory protein.

TnphoA insertions in the first gene of the Escherichia coli secA operon, gene X, were isolated and analyzed. Studies of the Gene X-PhoA fusion proteins showed that gene X encodes a secretory protein, since the fusion proteins possessed normal alkaline phosphatase activity and a substantial portion of this activity was found in the periplasm. In addition, the Gene X-PhoA fusion proteins were initially synthesized with a cleavable signal peptide. A gene X::TnphoA insertion was used to construct a strain containing a disrupted chromosomal copy of gene X. Analysis of this strain indicated that gene X is nonessential for cell growth and viability and does not appear to play an essential role in the process of protein export.     

The ilvIH operon of Escherichia coli is positively regulated.

The ilvIH operon of Escherichia coli (located near min 2) encodes acetohydroxyacid synthase III, an isozyme involved in branched-chain amino acid biosynthesis. A strain with lacZ fused to the ilvIH promoter was constructed. Transposon Tn10 was introduced into this strain, and tetracycline-resistant derivatives were screened for those in which ilvIH promoter expression was markedly reduced. In one such derivative, strain CV1008, beta-galactosidase expression was reduced more than 30-fold. The transposon giving rise to this phenotype inserted near min 20 on the E. coli chromosome. Extract from a wild-type strain contains a protein, the IHB protein, that binds to two sites upstream of the ilvIH promoter (E. Ricca, D. A. Aker, and J. M. Calvo, J. Bacteriol. 171:1658-1664, 1989). Extract from strain CV1008 lacks IHB-binding activity. These results indicate that the IHB protein is a positive regulator of ilvIH operon expression. The gene that encodes the IHB protein, ihb, was cloned by complementing the transposon-induced mutation. Definitive evidence that the cloned DNA encodes the IHB protein was provided by determining the sequence of more than 17 amino acids at the N terminus of the IHB protein and comparing it with the nucleotide sequence. A mutation that prevents repression of the ilvIH operon by leucine in vivo and that alters the DNA-binding characteristics of the IHB protein in vitro was shown to be an allele of the ihb gene. The ihb gene is identical to oppI, a gene that regulates the oppABCDF operon (E. A. Austin, J. C. Andrews, and S. A. Short, Abstr. Mol. Genet. Bacteria Phages, p. 153, 1989). Thus, oppI/ihb encodes a protein that regulates both ilvIH, an operon that is repressed by leucine, and oppABCDF, an operon involved in peptide transport that is induced by leucine. We propose that the designation lrp be used in the future instead of oppI or ihb and that Lrp (leucine-responsive regulatory protein) be used in place of IHB.     

Essential arginine residues in tryptophanase from Escherichia coli.

Tryptophanase from Escherichia coli B/1t7-A is inactivated by the arginine-specific reagent, phenylglyoxal, in potassium phosphate buffer at pH 7.8 AND 25 degrees. Apo- and holoenzyme are inactivated at the same rate, and inactivation of both is correlated with modification of 2 arginine residues/tryptophanase monomer. Substrate analogs having a carboxyl group protect the holoenzyme against both inactivation and arginine modification but have no effect on the inactivation or modification of the apoenzyme. Phenylglyoxal-modified apotryptophanase retains the capacity to bind the coenzyme, pyridoxal-P, but the spectrum of this reconstituted species differs from that of native holotryptophanase. Neither this reconstituted species nor the phenyglyoxal-modified holoenzyme shows the 500 nm absorption characteristic of the native enzyme when substrates are added. These results demonstrate a requirement for specific arginine residues for substrate binding and are discussed in the context of the known conformational and spectal forms of tryptophanase with regard to a possible role for arginine residues in formation of a catalytically effective enzyme-pyridoxal-P complex.     

Basic Gene Grammars and DNA-ChartParser for language processing of Escherichia coli promoter DNA sequences

MOTIVATION: The field of 'DNA linguistics' has emerged from pioneering work in computational linguistics and molecular biology. Most formal grammars in this field are expressed using Definite Clause Grammars but these have computational limitations which must be overcome. The present study provides a new DNA parsing system, comprising a logic grammar formalism called Basic Gene Grammars and a bidirectional chart parser DNA-ChartParser. RESULTS: The use of Basic Gene Grammars is demonstrated in representing many formulations of the knowledge of Escherichia coli promoters, including knowledge acquired from human experts, consensus sequences, statistics (weight matrices), symbolic learning, and neural network learning. The DNA-ChartParser provides bidirectional parsing facilities for BGGs in handling overlapping categories, gap categories, approximate pattern matching, and constraints. Basic Gene Grammars and the DNA-ChartParser allowed different sources of knowledge for recognizing E.coli promoters to be combined to achieve better accuracy as assessed by parsing these DNA sequences in real-world data sets.