Training back-propagation neural networks to define and detect DNA-binding sites

A three layered back-propagation neural network was trained to recognize E. coli promoters of the 17 base spacing class. To this end, the network was presented with 39 promoter sequences and derivatives of those sequences as positive inputs; 60% A + T random sequences and sequences containing 2 promoter-down point mutations were used as negative inputs. The entire promoter sequence of 58 bases, approximately -50 to +8, was entered as input. The network was asked to associate an output of 1.0 with promoter sequence input and 0.0 with non-promoter input. Generally, after 100,000 input cycles, the network was virtually perfect in classifying the training set. A trained network was about 80% effective in recognizing 'new' promoters which were not in the training set, with a false positive rate below 0.1%. Network searches on pBR322 and on the lambda genome were also performed. Overall the results were somewhat better than the best rule-based procedures. The trained network can be analyzed both for its choice of base and relative weighting, positive and negative, at each position of the sequence. This method, which requires only appropriate input/output training pairs, can be used to define and search for any DNA regulatory sequence for which there are sufficient exemplars.     

Escherichia coli promoters. I. Consensus as it relates to spacing class, specificity, repeat substructure, and three-dimensional organization

Fifty-two of the best characterized Escherichia coli promoters in the Hawley and McClure [1983) Nucleic Acids Res. 8, 2237-2255) listing were used to determine the distribution of information content in promoters and to describe the basic features underlying the existence of several different promoter spacing classes, which are defined by the number of bases separating the -35 and -10 regions. The contact regions at -35 and -10 do not, on the average, contain sufficient information to specify a promoter. The search for additional specifying bases led to two conclusions: 1) the consensus nucleotide sequence in the noncontact regions of a promoter appears to be distinct for each of the major promoter spacing classes; 2) promoters appear to contain a 15-20 base subset of the 40-50 additional optimal noncontact bases. This improved view of the extended consensus sequence allows the detection of a 10-base degenerate palindrome which may be the basic unit of promoter structure. Contiguous direct repeats of this sequence produce a sequence closely related to the consensus for the 18-base pair spacing class. This underlying structure is also evidenced in the 17- and 16-base pair spacing classes; however, the start points of the fourth and subsequent repetitions of the sequence element are moved one and two bases upstream, respectively, relative to their location in the 18-base pair spacing class. These consensus sequences, when viewed in a helical format, all present the opportunity for two alternative sets of a dyad repeat. The -35 region is common to both sets and is paired with an extended -10 region in one set and with a pseudo-10 region in the other. Possible implications of these arrangements are discussed.     

Temporally regulated tandem promoters in Micromonospora echinospora

A collection of promoters from the Micromonospora echinospora strain that produces the calichemicin antitumor antibiotics was identified by the use of the promoter-probe vector pIJ486 in Streptomyces lividans. A 0.4-kilobase-pair Micromonospora DNA fragment was found to contain multiple tandem promoters which were characterized by S1 nuclease protection, Northern blotting, and DNA sequence determination. Analysis of RNA isolated from timed Micromonospora cultures revealed two classes of promoters within the 0.4-kilobase-pair fragment. The P2 promoter was maximally active during the exponential phase. In contrast, the P1 promoter cluster, consisting of three closely spaced start sites located 80 base pairs upstream of P2, was maximally active during the stationary phase. Because P1 was strongly induced in synchrony with calichemicin drug production, P1 is of potential utility in expressing cloned genes specifically during the stationary phase.     

Electrostatic map of T7 DNA: comparative analysis of functional and electrostatic properties of T7 RNA polymerase-specific promoters

The entire T7 bacteriophage genome contains 39937 base pairs (Database NCBI RefSeq N1001604). Here, electrostatic potential distribution around double helical T7 DNA was calculated by Coulomb method using the computer program of Sorokin A.A. (lptolik@gmail.com). Electrostatic profiles of 17 promoters recognized by T7 phage-specific RNA polymerase were analyzed. It was shown that electrostatic profiles of all T7 RNA polymerase-specific promoters can be characterized by distinctive motifs which are specific for each promoter class. Comparative analysis of electrostatic profiles of native T7 promoters of different classes demonstrates that T7 RNA polymerase can differentiate them due to their electrostatic features.     

Promoters recognized by Escherichia coli RNA polymerase selected by function: highly efficient promoters from bacteriophage T5

Highly efficient promoters of coliphage T5 were identified by selecting for functional properties. Eleven such promoters belonging to all three expression classes of the phage were analyzed. Their average AT content was 75% and reached 83% in subregions of the sequences. Besides the well-known conserved sequences around -10 and -33, they exhibited homologies outside the region commonly considered to be essential for promoter function. Interestingly, the consensus hexamers around -10 (TAT AAT) and -35 (TTG ACA) were never found simultaneously within the sequence of highly efficient promoters. Several of these promoters compete extremely well for Escherichia coli RNA polymerase and can be used for the efficient in vitro synthesis of defined RNA species. In addition, some of these promoters accept 7-mGpppA as the starting dinucleotide, thus producing capped mRNA in vitro which can be utilized in various eucaryotic translation systems.     

Artificial promoters for metabolic optimization

In this article, we review some of the expression systems that are available for Metabolic Control Analysis and Metabolic Engineering, and examine their advantages and disadvantages in different contexts. In a recent approach, artificial promoters for modulating gene expression in micro-organisms were constructed using synthetic degenerated oligonucleotides. From this work, a promoter library was obtained for Lactococcus lactis, containing numerous individual promoters and covering a wide range of promoter activities. Importantly, the range of promoter activities was covered in small steps of activity change. Promoter libraries generated by this approach allow for optimization of gene expression and for experimental control analysis in a wide range of biological systems by choosing from the promoter library promoters giving, e.g., 25%, 50%, 200%, and 400% of the normal expression level of the gene in question. If the relevant variable (e.g., the flux or yield) is then measured with each of these constructs, then one can calculate the control coefficient and determine the optimal expression level. One advantage of the method is that the construct which is found to have the optimal expression level is then, in principle, ready for use in the industrial fermentation process; another advantage is that the system can be used to optimize the expression of different enzymes within the same cell.     

Initiation of transcription by T7 RNA polymerase as its natural promoters.

A kinetic assay has been developed to measure the strength of natural T7 promoters. By determining the rate of appearance of initiation products in the presence of constant concentrations of T7 RNA polymerase, an incomplete mixture of ribonucleoside triphosphates, and increasing promoter concentrations, a maximum rate of product formation (Vmax) and a promoter concentration giving half of the maximal activity ([P]Vmax/2) can be determined for any cloned T7 promoter. On supercoiled plasmids, it was found that the [P]Vmax/2 measured for the six promoters phi 1.1B, phi 1.3, phi 3.8, phi 6.5, phi 10, and phi 13 ranged from 3.4 +/- 1.1 to 12.0 +/- 2.4 nM while the Vmax values showed no significant trends. On plasmids that had been linearized by cleavage at a single site with a restriction endonuclease, the cloned T7 promoters assayed fell into two broad classes that appear to be characterized by the T7 class II and III promoters. Generally, the class II promoters required higher promoter concentrations to produce half of the maximum rates of initiation ([P]Vmax/2 values) than the class III promoters. The [P]Vmax/2 values for the class II promoters ranged from 20 +/- 2.7 to 23 +/- 3.6 nM, while the [P]Vmax/2 values for the class III promoters phi 10 and phi 13 were 13 +/- 1.6 nM and 7.8 +/- 1.4 nM. The one exception is the class III promoter phi 6.5 whose [P] Vmax/2 (17 +/- 5 nM) falls between the [P]Vmax/2 values of the class II promoters and the strong class III promoters. The Vmax values measured on linear templates are variable, but it appears that phi 10 is more active than the other five promoters.