Escherichia coli RNA polymerase recognition of a sigma70-dependent promoter requiring a -35 DNA element and an extended -10 TGn motif

Identification of a novel alternate promoter element in the pheST operon of Escherichia coli

BACKGROUND

Earlier work in this laboratory revealed that fitA was same as pheS as a recombinant clone, pSRJ5R1 harboring pheS+ gene complemented transcription-defective fitA76 Ts (temperature sensitive) mutant. However, this clone lacked the native promoter (NP) of pheST operon. A putative - 10 promoter like element was suggested to act as promoter in this clone. This work investigated the veracity of this putative promoter as well as its downstream regulatory region towards driving the pheS expression.

METHODS

Plasmid clones with promoter-mutations or -deletions were constructed by PCR-based cloning and their ability to complement fitA76 Ts mutant strains was checked. Chromosomal mutations were transferred into various genetic backgrounds via P1-transductions. Relative viability assays were performed to check the extent of complementation.

RESULTS

Clones harboring point mutations (PM-pheS) or deletion (PD1-pheS) of - 10 region of the putative promoter did not abolish complementation of the fitA76 Ts phenotype. Subsequently, a novel alternate promoter (AP) was discovered by downstream deletion clone (PD2-pheS) which failed to complement. Keeping PD1-pheS intact but mutating initiation codon of pheS (ATG→TTG) failed to complement. Complementation ability of novel alternate promoter is poor in HfrC strain background unlike native promoter which complements well independent of strain background.

CONCLUSION

A novel alternate-promoter of pheST operon was identified by mutational/deletional analyses and earlier reported putative - 10 promoter was shown to be dispensable. Alternate promoter is relA dependent.

Diversity of σ66-Specific Promoters Contributes to Regulation of Developmental Gene Expression in Chlamydia trachomatis

Promoter recognition by the RNA polymerase (RNAP) holoenzyme is a key step in gene regulation. In Chlamydia trachomatis, a medically important obligate intracellular bacterium, σ⁶⁶ allows the RNAP to initiate promoter-specific transcription throughout the chlamydial developmental cycle. Here, we investigated the intrinsic properties of σ⁶⁶-specific promoters with emphasis on their role in the developmental gene expression of C. trachomatis. First, we examined whether promoters that contain a 5'-T(-15)G(-14)-3' (TG) motif upstream from the -10 element appear more often than others in genes that are preferentially expressed during the early, middle, or late stages of the C. trachomatis developmental cycle. We then determined the critical genetic elements that are required for transcription initiation in vitro. We also assessed the activity of promoters in the presence of Scc4, which can directly interact with σ⁶⁶RNAP. Finally, we evaluated the promoter-specific dynamics during C. trachomatis infection using a reporter assay. These results reveal that the TG motif is an important determinant in certain early or late promoters. The TG promoters that have the -35 element are recognized by σ⁶⁶RNAP and Scc4 differently from those lacking the -35 element. Based on these properties, the σ⁶⁶-specific promoters can fall into three classes. Architectural diversity, behavioral plasticity, and the specific interplays between promoters and the σ⁶⁶RNAP likely contribute to developmental gene transcription in C. trachomatis. IMPORTANCE Meticulous promoter elucidation is required to understand the foundations of transcription initiation. However, knowledge of promoter-specific transcription remains limited in C. trachomatis. This work underscores the structural and functional plasticity of σ⁶⁶-specific promoters that are regulated by σ⁶⁶RNAP, as well as their importance in the developmental gene regulation of C. trachomatis.

Analysis of the nucleotide content of Escherichia coli promoter sequences related to the alternative sigma factors

Promoters are DNA sequences located upstream of the transcription start site of genes. In bacteria, the RNA polymerase enzyme requires additional subunits, called sigma factors (σ) to begin specific gene transcription in distinct environmental conditions. Currently, promoter prediction still poses many challenges due to the characteristics of these sequences. In this paper, the nucleotide content of Escherichia coli promoter sequences, related to five alternative σ factors, was analyzed by a machine learning technique in order to provide profiles according to the σ factor which recognizes them. For this, the clustering technique was applied since it is a viable method for finding hidden patterns on a data set. As a result, 20 groups of sequences were formed, and, aided by the Weblogo tool, it was possible to determine sequence profiles. These found patterns should be considered for implementing computational prediction tools. In addition, evidence was found of an overlap between the functions of the genes regulated by different σ factors, suggesting that DNA structural properties are also essential parameters for further studies.

PromoterPredict: sequence-based modelling of Escherichia coli σ70 promoter strength yields logarithmic dependence between promoter strength and sequence

We present PromoterPredict, a dynamic multiple regression approach to predict the strength of Escherichia coli promoters binding the σ⁷⁰ factor of RNA polymerase. σ⁷⁰ promoters are ubiquitously used in recombinant DNA technology, but characterizing their strength is demanding in terms of both time and money. We parsed a comprehensive database of bacterial promoters for the -35 and -10 hexamer regions of σ⁷⁰-binding promoters and used these sequences to construct the respective position weight matrices (PWM). Next we used a well-characterized set of promoters to train a multivariate linear regression model and learn the mapping between PWM scores of the -35 and -10 hexamers and the promoter strength. We found that the log of the promoter strength is significantly linearly associated with a weighted sum of the -10 and -35 sequence profile scores. We applied our model to 100 sets of 100 randomly generated promoter sequences to generate a sampling distribution of mean strengths of random promoter sequences and obtained a mean of 6E-4 ± 1E-7. Our model was further validated by cross-validation and on independent datasets of characterized promoters. PromoterPredict accepts -10 and -35 hexamer sequences and returns the predicted promoter strength. It is capable of dynamic learning from user-supplied data to refine the model construction and yield more robust estimates of promoter strength. PromoterPredict is available as both a web service (https://promoterpredict.com) and standalone tool (https://github.com/PromoterPredict). Our work presents an intuitive generalization applicable to modelling the strength of other promoter classes.

Development of a Metabolite Sensor for High-Throughput Detection of Aldehydes in Escherichia Coli

We have developed a fluorescence-based metabolite sensor enabling in vivo detection of various aldehydes of biotechnological interest in Escherichia coli. YqhC is a transcriptional regulator that is known to be involved in the upregulation of the yqhD-dgkA operon in the presence of aldehydes. We took advantage of this property by constructing a bi-modular biosensor, in which a sensing module constitutively expresses yqhC while a reporter module drives the expression of the syfp2 reporter gene that is put under control of the yqhD promoter. The sensitivity of the sensor has been optimized by engineering the 5′-UTRs of both the sensing and the reporter modules resulting in a 70-fold gain of fluorescence in response to the model compound glycolaldehyde at 5 mM. The optimized sensor further responded to other aldehydes when supplemented to the cultivation medium at concentrations of 1–10 mM. We furthermore showed that this metabolite sensor was functional in vivo as it responded to the presence of glycoladehyde that is specifically produced upon induction of a synthetic xylulose-1-phosphate pathway expressed in E. coli. This bi-modular sensor can therefore be employed as an exquisite tool for FACS-based ultra-high-throughput screening of aldehyde (over) producing enzymes.

Transcription Initiation by Mix and Match Elements: Flexibility for Polymerase Binding to Bacterial Promoters

Bacterial RNA polymerase is composed of a core of subunits (β β′, α1, α2, ω), which have RNA synthesizing activity, and a specificity factor (σ), which identifies the start of transcription by recognizing and binding to sequence elements within promoter DNA. Four core promoter consensus sequences, the –10 element, the extended –10 (TGn) element, the –35 element, and the UP elements, have been known for many years; the importance of a nontemplate G at position -5 has been recognized more recently. However, the functions of these elements are not the same. The AT-rich UP elements, the –35 elements (–35TTGACA–30), and the extended –10 (15TGn–13) are recognized as double-stranded binding elements, whereas the –5 nontemplate G is recognized in the context of single-stranded DNA at the transcription bubble. Furthermore, the –10 element (–12TATAAT–7) is recognized as both double-stranded DNA for the T:A bp at position –12 and as nontemplate, single-stranded DNA from positions –11 to –7. The single-stranded sequences at positions –11 to –7 as well as the –5 contribute to later steps in transcription initiation that involve isomerization of polymerase and separation of the promoter DNA around the transcription start site. Recent work has demonstrated that the double-stranded elements may be used in various combinations to yield an effective promoter. Thus, while some minimal number of contacts is required for promoter function, polymerase allows the elements to be mixed and matched. Interestingly, which particular elements are used does not appear to fundamentally alter the transcription bubble generated in the stable complex. In this review, we discuss the multiple steps involved in forming a transcriptionally competent polymerase/promoter complex, and we examine what is known about polymerase recognition of core promoter elements. We suggest that considering promoter elements according to their involvement in early (polymerase binding) or later (polymerase isomerization) steps in transcription initiation rather than simply from their match to conventional promoter consensus sequences is a more instructive form of promoter classification.

Characterization of a Minimal Type of Promoter Containing the -10 Element and a Guanine at the -14 or -13 Position in Mycobacteria

Three key promoter elements, i.e., -10, -35, and T_-15G_-14N, are recognized by the σ subunit of RNA polymerase. Among them, promoters with the -10 element and either -35 or T_-15G_-14N are known to initiate transcription efficiently, but recent systematic analyses have identified a large group of promoters in Mycobacterium tuberculosis that contain only a -10 consensus. How these promoters initiate transcription remains poorly understood. Here, we show that promoters containing the -10 element and an upstream G located at the -14 or -13 position can successfully initiate transcription in mycobacteria. Importantly, this new type of promoter is active in the absence of other promoter consensuses, suggesting that it is a minimal promoter type. Mutation of the upstream G in promoters decreased the efficiencies of their binding with RNA polymerase and their abilities to initiate transcription in both in vitro and in vivo analyses. A glutamic acid in σ region 3.0 is essential for recognizing G_-14 and G_-13 and is conserved in both principal and principal-like σ factors in mycobacteria, indicating that recognition of this minimal type of promoter might be a common mechanism for transcription initiation. Consistently, more than 70% of the identified promoters in M. tuberculosis contained G_-14 or G_-13 upstream of the conserved -10 element, and thousands of promoters in representative mycobacterial species have been predicted using the -10 consensus and G_-14 or G_-13 Altogether, our study presents a universal mechanism for transcription initiation from a minimal promoter in mycobacteria, which might also be applicable to other bacteria.IMPORTANCE In contrast to the detailed information for recognizing classic promoters in the model organism Escherichia coli, very little is known about how transcription is initiated in the human pathogen Mycobacterium tuberculosis In this study, we characterized a new type of promoter in mycobacteria that requires only a -10 consensus and an upstream G_-14 or G_-13 Residues important for recognizing the -10 element and the upstream G are conserved in σ^A and σ^B from mycobacterial species. According to such features, thousands of promoters in mycobacteria can be predicted using the -10 consensus and G_-14 or G_-13, which suggests that transcription from this new type of promoter might be widespread. Our findings provide insightful information for characterizing promoters in mycobacteria.

Mix-and-matching as a promoter recognition mechanism by ECF σ factors

Background

Transcription initiation is in bacteria exhibited by different σ factors, most of which fall within σ⁷⁰ family. This family is diverse, ranging from the housekeeping Group I (RpoDs), to Group IV (ECF) σ factors, that transcribe smaller regulons under more stringent conditions. RpoDs employ a kinetic mix-and-match mechanism, where promoter elements complement each other binding strengths in achieving sufficient transcription activity. On the other hand, it is assumed that ECF σs, which are the most distant from the housekeeping σ factors, cannot exhibit mix-and-matching. However, mix-and-matching for ECF σ factors was not quantitatively checked before, and recent results show a much larger flexibility in the promoter recognition by the members of this group.

Results

To this end, we quantitatively investigate mix-and-matching in two canonical ECF σ family members (σ^E and σ^W), for which we use a biophysics based model of transcription initiation. For σ^E, we perform a separate analysis for in-vitro active and in-vitro inactive promoters, which allows us investigating how mix-and-matching depends on the external factors that may control transcription activity in the in-vitro inactive set. We show that the promoter elements of canonical ECF σs significantly complement each other strengths, where such mix-and-matching is in the in-vitro active set even stronger compared to the correlations observed for the housekeeping σs. This complementation however significantly decreases for the in-vitro inactive set, which we propose is due to mix-and-matching with regulatory sequences outside of the canonical promoter elements. In line with this proposition, we show that a conserved spacer element, which appears in the in-vitro inactive promoter set, significantly increases the promoter element complementation. While RpoD promoter elements mix-and-match to achieve sufficient total transcription activity, for σ^E they complement each other to achieve sufficiently strong total binding affinity, which we relate to differences in physiological responses between the two groups of σ factors.

Conclusion

Despite a common notion that smaller σ factor specificity leads to a larger mix-and-matching, we here obtain a larger promoter element complementation for σ^E compared to RpoDs. Finally, to explain this finding, we propose a simple model which relates the size of σ factor regulon with the extent of mix-and-matching, based on an assumption of a selection pressure on promoters that are near the non-specific binding boundary to remain functional.

Electronic supplementary material

The online version of this article (doi:10.1186/s12862-016-0865-z) contains supplementary material, which is available to authorized users.

Promoter Recognition by Extracytoplasmic Function σ Factors: Analyzing DNA and Protein Interaction Motifs

Extracytoplasmic function (ECF) σ factors are the largest and the most diverse group of alternative σ factors, but their mechanisms of transcription are poorly studied. This subfamily is considered to exhibit a rigid promoter structure and an absence of mixing and matching; both -35 and -10 elements are considered necessary for initiating transcription. This paradigm, however, is based on very limited data, which bias the analysis of diverse ECF σ subgroups. Here we investigate DNA and protein recognition motifs involved in ECF σ factor transcription by a computational analysis of canonical ECF subfamily members, much less studied ECF σ subgroups, and the group outliers, obtained from recently sequenced bacteriophages. The analysis identifies an extended -10 element in promoters for phage ECF σ factors; a comparison with bacterial σ factors points to a putative 6-amino-acid motif just C-terminal of domain σ2, which is responsible for the interaction with the identified extension of the -10 element. Interestingly, a similar protein motif is found C-terminal of domain σ2 in canonical ECF σ factors, at a position where it is expected to interact with a conserved motif further upstream of the -10 element. Moreover, the phiEco32 ECF σ factor lacks a recognizable -35 element and σ4 domain, which we identify in a homologous phage, 7-11, indicating that the extended -10 element can compensate for the lack of -35 element interactions. Overall, the results reveal greater flexibility in promoter recognition by ECF σ factors than previously recognized and raise the possibility that mixing and matching also apply to this group, a notion that remains to be biochemically tested.

IMPORTANCE

ECF σ factors are the most numerous group of alternative σ factors but have been little studied. Their promoter recognition mechanisms are obscured by the large diversity within the ECF σ factor group and the limited similarity with the well-studied housekeeping σ factors. Here we extensively compare bacterial and bacteriophage ECF σ factors and their promoters in order to infer DNA and protein recognition motifs involved in transcription initiation. We predict a more flexible promoter structure than is recognized by the current paradigm, which assumes rigidness, and propose that ECF σ promoter elements may complement (mix and match with) each other's strengths. These results warrant the refocusing of research efforts from the well-studied housekeeping σ factors toward the physiologically highly important, but insufficiently understood, alternative σ factors.

Quantifying promoter activity during the developmental cycle of Chlamydia trachomatis

Chlamydia trachomatis is an important human pathogen that undergoes a characteristic development cycle correlating with stage-specific gene expression profiles. Taking advantage of recent developments in the genetic transformation in C. trachomatis, we constructed a versatile green fluorescent protein (GFP) reporter system to study the development-dependent function of C. trachomatis promoters in an attempt to elucidate the mechanism that controls C. trachomatis adaptability. We validated the use of the GFP reporter system by visualizing the activity of an early euo gene promoter. Additionally, we uncovered a new ompA promoter, which we named P3, utilizing the GFP reporter system combined with 5' rapid amplification of cDNA ends (RACE), in vitro transcription assays, real-time quantitative RT-PCR (RT-qPCR), and flow cytometry. Mutagenesis of the P3 region verifies that P3 is a new class of C. trachomatis σ(66)-dependent promoter, which requires an extended -10 TGn motif for transcription. These results corroborate complex developmentally controlled ompA expression in C. trachomatis. The exploitation of genetically labeled C. trachomatis organisms with P3-driven GFP allows for the observation of changes in ompA expression in response to developmental signals. The results of this study could be used to complement previous findings and to advance understanding of C. trachomatis genetic expression.

Mutations That Stimulate flhDC Expression in Escherichia coli K-12

Motility is a beneficial attribute that enables cells to access and explore new environments and to escape detrimental ones. The organelle of motility in Escherichia coli is the flagellum, and its production is initiated by the activating transcription factors FlhD and FlhC. The expression of these factors by the flhDC operon is highly regulated and influenced by environmental conditions. The flhDC promoter is recognized by σ(70) and is dependent on the transcriptional activator cyclic AMP (cAMP)-cAMP receptor protein complex (cAMP-CRP). A number of K-12 strains exhibit limited motility due to low expression levels of flhDC. We report here a large number of mutations that stimulate flhDC expression in such strains. They include single nucleotide changes in the -10 element of the promoter, in the promoter spacer, and in the cAMP-CRP binding region. In addition, we show that insertion sequence (IS) elements or a kanamycin gene located hundreds of base pairs upstream of the promoter can effectively enhance transcription, suggesting that the topology of a large upstream region plays a significant role in the regulation of flhDC expression. None of the mutations eliminated the requirement for cAMP-CRP for activation. However, several mutations allowed expression in the absence of the nucleoid organizing protein, H-NS, which is normally required for flhDC expression.

IMPORTANCE

The flhDC operon of Escherichia coli encodes transcription factors that initiate flagellar synthesis, an energetically costly process that is highly regulated. Few deregulating mutations have been reported thus far. This paper describes new single nucleotide mutations that stimulate flhDC expression, including a number that map to the promoter spacer region. In addition, this work shows that insertion sequence elements or a kanamycin gene located far upstream from the promoter or repressor binding sites also stimulate transcription, indicating a role of regional topology in the regulation of flhDC expression.

Analysis of the Salmonella regulatory network suggests involvement of SsrB and H-NS in σ(E)-regulated SPI-2 gene expression

The extracytoplasmic functioning sigma factor σ^E is known to play an essential role for Salmonella enterica serovar Typhimurium to survive and proliferate in macrophages and mice. However, its regulatory network is not well-characterized, especially during infection. Here we used microarray to identify genes regulated by σ^E in Salmonella grown in three conditions: a nutrient-rich condition and two others that mimic early and late intracellular infection. We found that in each condition σ^E regulated different sets of genes, and notably, several global regulators. When comparing nutrient-rich and infection-like conditions, large changes were observed in the expression of genes involved in Salmonella pathogenesis island (SPI)-1 type-three secretion system (TTSS), SPI-2 TTSS, protein synthesis, and stress responses. In total, the expression of 58% of Salmonella genes was affected by σ^E in at least one of the three conditions. An important finding is that σ^E up-regulates SPI-2 genes, which are essential for Salmonella intracellular survival, by up-regulating SPI-2 activator ssrB expression at the early stage of infection and down-regulating SPI-2 repressor hns expression at a later stage. Moreover, σ^E is capable of countering the silencing of H-NS, releasing the expression of SPI-2 genes. This connection between σ^E and SPI-2 genes, combined with the global regulatory effect of σ^E, may account for the lethality of rpoE-deficient Salmonella in murine infection.

The STM4195 gene product (PanS) transports coenzyme A precursors in Salmonella enterica

Coenzyme A (CoA) is a ubiquitous coenzyme involved in fundamental metabolic processes. CoA is synthesized from pantothenic acid by a pathway that is largely conserved among bacteria and eukaryotes and consists of five enzymatic steps. While higher organisms, including humans, must scavenge pantothenate from the environment, most bacteria and plants are capable of de novo pantothenate biosynthesis. In Salmonella enterica, precursors to pantothenate can be salvaged, but subsequent intermediates are not transported due to their phosphorylated state, and thus the pathway from pantothenate to CoA is considered essential. Genetic analyses identified the STM4195 gene product of Salmonella enterica serovar Typhimurium as a transporter of pantothenate precursors, ketopantoate and pantoate and, to a lesser extent, pantothenate. Further results indicated that STM4195 transports a product of CoA degradation that serves as a precursor to CoA and enters the biosynthetic pathway between PanC and CoaBC (dfp). The relevant CoA derivative is distinguishable from pantothenate, pantetheine, and pantethine and has spectral properties indicating the adenine moiety of CoA is intact. Taken together, the results presented here provide evidence of a transport mechanism for the uptake of ketopantoate, pantoate, and pantothenate and demonstrate a role for STM4195 in the salvage of a CoA derivative of unknown structure. The STM4195 gene is renamed panS to reflect participation in pantothenate salvage that was uncovered herein.

IMPORTANCE

This manuscript describes a transporter for two pantothenate precursors in addition to the existence and transport of a salvageable coenzyme A (CoA) derivative. Specifically, these studies defined a function for an STM protein in S. enterica that was distinct from the annotated role and led to its designation as PanS (pantothenate salvage). The presence of a salvageable CoA derivative and a transporter for it suggests the possibility that this compound is present in the environment and may serve a role in CoA synthesis for some organisms. As such, this work raises important question about CoA salvage that can be pursued with future studies in bacteria and other organisms.

Efficient transcription initiation in bacteria: an interplay of protein-DNA interaction parameters

As the first, and usually rate-limiting, step of transcription initiation, bacterial RNA polymerase (RNAP) binds to double stranded DNA (dsDNA) and subsequently opens the two strands of DNA (the open complex formation). The rate determining step in the open complex formation is opening of a short (6 bp) DNA called the -10 region, which interacts with RNAP in both dsDNA and single stranded (ssDNA) forms. Accordingly, formation of the open complex depends on (physically independent) domains of RNAP that interact with ssDNA and dsDNA, as well as on parameters of DNA melting and sequences of -10 regions. We here aim to understand how these different interactions are mutually related to ensure efficient open complex formation. To achieve this, we use a recently developed biophysical model of transcription initiation, which allows the calculation of the kinetic parameters of transcription initiation on the scale of whole genome. We consequently investigate kinetic properties of sequences derived from all E. coli intergenic regions, and from more than 300 experimentally confirmed E. coli σ(70) promoters. We find that interaction specificities of σ(70) DNA binding domains reduce the number of sequences where RNAP binds strongly, but forms the open complex too slowly to achieve functional transcription (so-called poised promoters). However, we find that, despite this reduction, there is still a significant number of such poised promoters in the intergenic regions, which may provide a major source of false positives in genome-wide searches of transcription start sites. Furthermore, we surprisingly find that sequences of -10 regions of the functional promoters increase the extent of RNAP poising, which we interpret in terms of an extension of a recently proposed model of promoter recognition ('mix-and-match model') to kinetic parameters. Overall, our results allow better understanding of the design of σ(70) DNA binding domains and promoter sequences, and place a fundamental limit on accuracy of methods for promoter detection that are based on strong RNAP binding (e.g. ChIP-chip).

DNA duplex stability as discriminative characteristic for Escherichia coli σ(54)- and σ(28)- dependent promoter sequences

The advent of modern high-throughput sequencing has made it possible to generate vast quantities of genomic sequence data. However, the processing of this volume of information, including prediction of gene-coding and regulatory sequences remains an important bottleneck in bioinformatics research. In this work, we integrated DNA duplex stability into the repertoire of a Neural Network (NN) capable of predicting promoter regions with augmented accuracy, specificity and sensitivity. We took our method beyond a simplistic analysis based on a single sigma subunit of RNA polymerase, incorporating the six main sigma-subunits of Escherichia coli. This methodology employed successfully re-discovered known promoter sequences recognized by E. coli RNA polymerase subunits σ(24), σ(28), σ(32), σ(38), σ(54) and σ(70), with highlighted accuracies for σ(28)- and σ(54)- dependent promoter sequences (values obtained were 80% and 78.8%, respectively). Furthermore, the discrimination of promoters according to the σ factor made it possible to extract functional commonalities for the genes expressed by each type of promoter. The DNA duplex stability rises as a distinctive feature which improves the recognition and classification of σ(28)- and σ(54)- dependent promoter sequences. The findings presented in this report underscore the usefulness of including DNA biophysical parameters into NN learning algorithms to increase accuracy, specificity and sensitivity in promoter beyond what is accomplished based on sequence alone.

Pr is a member of a restricted class of σ70-dependent promoters that lack a recognizable -10 element

The Pr promoter is the first verified member of a class of bacterial σ⁷⁰-promoters that only possess a single match to consensus within its −10 element. In its native context, the activity of this promoter determines the ability of Pseudomonas putida CF600 to degrade phenolic compounds, which provides proof-of-principle for the significance of such promoters. Lack of identity within the −10 element leads to non-detection of Pr-like promoters by current search engines, because of their bias for detection of the −10 motif. Here, we report a mutagenesis analysis of Pr that reveals strict sequence requirements for its activity that includes an essential −15 element and preservation of non-consensus bases within its −35 and −10 elements. We found that highly similar promoters control plasmid- and chromosomally- encoded phenol degradative systems in various Pseudomonads. However, using a purpose-designed promoter-search algorithm and activity analysis of potential candidate promoters, no bona fide Pr-like promoter could be found in the entire genome of P. putida KT2440. Hence, Pr-like σ⁷⁰-promoters, which have the potential to be a widely distributed class of previously unrecognized promoters, are in fact highly restricted and remain in a class of their own.

Role of ISKpn7 and deletions in blaKPC gene expression

The carbapenemase-encoding bla(KPC) gene, which is rapidly spreading in Gram-negative rods, is located on a Tn3-based transposon, Tn4401, which carries a polymorphic region giving rise to five isoforms (a, b, c, d, and e) that is located immediately upstream of the bla(KPC) gene and thus likely involved in its expression. Using 5' rapid amplification of cDNA ends (5'RACE), we identified three potential promoter sequences (P1, P2, and P3) upstream of the bla(KPC) gene, of which only P1 (absent from isoforms c and d) and P2 (present in all isoforms, with a -35 box located inside the right inverted repeat of ISKpn7) were shown to be true promoters involved in expression. One representative of each different promoter combination of Tn4401, i.e., P2 alone (isoform c), P1-P2 (isoform a), and P1-P2-P3 (isoform b), was cloned into an Escherichia coli plasmid vector. Using reverse transcription-PCR (RT-PCR), the highest level of expression was obtained with isoform a (P1 and P2), which is also the most commonly encountered form in enterobacterial clinical isolates, followed by isoforms b (P1, P2, and P3) and c (P2 only). These differences in expression led to slight differences in MIC values of carbapenems. In silico analysis of the DNA sequence of isoform b revealed a stem-loop structure that is likely responsible for strong stops observed in 5'RACE experiments and for decreased expression compared to that with isoform a (P1 and P2). In addition, such structures could also be at the origin for the deletions observed in isoforms a and c. Taken together, these results indicate that the P1 and P2 promoters both contribute to the expression of the bla(KPC) gene and that the construct with the highest level of expression is that possessing isoform a, which is also the most commonly encountered form in clinical isolates.

Genome-wide identification of transcriptional start sites in the plant pathogen Pseudomonas syringae pv. tomato str. DC3000

RNA-Seq has provided valuable insights into global gene expression in a wide variety of organisms. Using a modified RNA-Seq approach and Illumina's high-throughput sequencing technology, we globally identified 5'-ends of transcripts for the plant pathogen Pseudomonas syringae pv. tomato str. DC3000. A substantial fraction of 5'-ends obtained by this method were consistent with results obtained using global RNA-Seq and 5'RACE. As expected, many 5'-ends were positioned a short distance upstream of annotated genes. We also captured 5'-ends within intergenic regions, providing evidence for the expression of un-annotated genes and non-coding RNAs, and detected numerous examples of antisense transcription, suggesting additional levels of complexity in gene regulation in DC3000. Importantly, targeted searches for sequence patterns in the vicinity of 5'-ends revealed over 1200 putative promoters and other regulatory motifs, establishing a broad foundation for future investigations of regulation at the genomic and single gene levels.

Bacteriophage T4 MotA activator and the β-flap tip of RNA polymerase target the same set of σ70 carboxyl-terminal residues

Sigma factors, the specificity subunits of RNA polymerase, are involved in interactions with promoter DNA, the core subunits of RNA polymerase, and transcription factors. The bacteriophage T4-encoded activator, MotA, is one such factor, which engages the C terminus of the Escherichia coli housekeeping sigma factor, σ(70). MotA functions in concert with a phage-encoded co-activator, AsiA, as a molecular switch. This process, termed sigma appropriation, inhibits host transcription while activating transcription from a class of phage promoters. Previous work has demonstrated that MotA contacts the C terminus of σ(70), H5, a region that is normally bound within RNA polymerase by its interaction with the β-flap tip. To identify the specific σ(70) residues responsible for interacting with MotA and the β-flap tip, we generated single substitutions throughout the C terminus of σ(70). We find that MotA targets H5 residues that are normally engaged by the β-flap. In two-hybrid assays, the interaction of σ(70) with either the β-flap tip or MotA is impaired by alanine substitutions at residues Leu-607, Arg-608, Phe-610, Leu-611, and Asp-613. Transcription assays identify Phe-610 and Leu-611 as the key residues for MotA/AsiA-dependent transcription. Phe-610 is a crucial residue in the H5/β-flap tip interaction using promoter clearance assays with RNA polymerase alone. Our results show how the actions of small transcriptional factors on a defined local region of RNA polymerase can fundamentally change the specificity of polymerase.

Redefining Escherichia coli σ(70) promoter elements: -15 motif as a complement of the -10 motif

Classical elements of σ(70) bacterial promoters include the -35 element ((-35)TTGACA(-30)), the -10 element ((-12)TATAAT(-7)), and the extended -10 element ((-15)TG(-14)). Although the -35 element, the extended -10 element, and the upstream-most base in the -10 element ((-12)T) interact with σ(70) in double-stranded DNA (dsDNA) form, the downstream bases in the -10 motif ((-11)ATAAT(-7)) are responsible for σ(70)-single-stranded DNA (ssDNA) interactions. In order to directly reflect this correspondence, an extension of the extended -10 element to a so-called -15 element ((-15)TGnT(-12)) has been recently proposed. I investigated here the sequence specificity of the proposed -15 element and its relationship to other promoter elements. I found a previously undetected significant conservation of (-13)G and a high degeneracy at (-15)T. I therefore defined the -15 element as a degenerate motif, which, together with the conserved stretch of sequence between -15 and -12, allows treating this element analogously to -35 and -10 elements. Furthermore, the strength of the -15 element inversely correlates with the strengths of the -35 element and -10 element, whereas no such complementation between other promoter elements was found. Despite the direct involvement of -15 element in σ(70)-dsDNA interactions, I found a significantly stronger tendency of this element to complement weak -10 elements that are involved in σ(70)-ssDNA interactions. This finding is in contrast to the established view, according to which the -15 element provides a sufficient number of σ(70)-dsDNA interactions, and suggests that the main parameter determining a functional promoter is the overall promoter strength.

Reduced capacity of alternative sigmas to melt promoters ensures stringent promoter recognition

In bacteria, multiple sigmas direct RNA polymerase to distinct sets of promoters. Housekeeping sigmas direct transcription from thousands of promoters, whereas most alternative sigmas are more selective, recognizing more highly conserved promoter motifs. For sigma(32) and sigma(28), two Escherichia coli Group 3 sigmas, altering a few residues in Region 2.3, the portion of sigma implicated in promoter melting, to those universally conserved in housekeeping sigmas relaxed their stringent promoter requirements and significantly enhanced melting of suboptimal promoters. All Group 3 sigmas and the more divergent Group 4 sigmas have nonconserved amino acids at these positions and rarely transcribe >100 promoters. We suggest that the balance of "melting" and "recognition" functions of sigmas is critical to setting the stringency of promoter recognition. Divergent sigmas may generally use a nonoptimal Region 2.3 to increase promoter stringency, enabling them to mount a focused response to altered conditions.

Promoter analysis of macrophage- and tick cell-specific differentially expressed Ehrlichia chaffeensis p28-Omp genes

BACKGROUND

Ehrlichia chaffeensis is a rickettsial agent responsible for an emerging tick-borne illness, human monocytic ehrlichiosis. Recently, we reported that E. chaffeensis protein expression is influenced by macrophage and tick cell environments. We also demonstrated that host response differs considerably for macrophage and tick cell-derived bacteria with delayed clearance of the pathogen originating from tick cells.

RESULTS

In this study, we mapped differences in the promoter regions of two genes of p28-Omp locus, genes 14 and 19, whose expression is influenced by macrophage and tick cell environments. Primer extension and quantitative RT-PCR analysis were performed to map transcription start sites and to demonstrate that E. chaffeensis regulates transcription in a host cell-specific manner. Promoter regions of genes 14 and 19 were evaluated to map differences in gene expression and to locate RNA polymerase binding sites.

CONCLUSION

RNA analysis and promoter deletion analysis aided in identifying differences in transcription, DNA sequences that influenced promoter activity and RNA polymerase binding regions. This is the first description of a transcriptional machinery of E. chaffeensis. In the absence of available genetic manipulation systems, the promoter analysis described in this study can serve as a novel molecular tool for mapping the molecular basis for gene expression differences in E. chaffeensis and other related pathogens belonging to the Anaplasmataceae family.

The promoter spacer influences transcription initiation via sigma70 region 1.1 of Escherichia coli RNA polymerase

Transcription initiation is a dynamic process in which RNA polymerase (RNAP) and promoter DNA act as partners, changing in response to one another, to produce a polymerase/promoter open complex (RPo) competent for transcription. In Escherichia coli RNAP, region 1.1, the N-terminal 100 residues of sigma(70), is thought to occupy the channel that will hold the DNA downstream of the transcription start site; thus, region 1.1 must move from this channel as RPo is formed. Previous work has also shown that region 1.1 can modulate RPo formation depending on the promoter. For some promoters region 1.1 stimulates the formation of open complexes; at the P(minor) promoter, region 1.1 inhibits this formation. We demonstrate here that the AT-rich P(minor) spacer sequence, rather than promoter recognition elements or downstream DNA, determines the effect of region 1.1 on promoter activity. Using a P(minor) derivative that contains good sigma(70)-dependent DNA elements, we find that the presence of a more GC-rich spacer or a spacer with the complement of the P(minor) sequence results in a promoter that is no longer inhibited by region 1.1. Furthermore, the presence of the P(minor) spacer, the GC-rich spacer, or the complement spacer results in different mobilities of promoter DNA during gel electrophoresis, suggesting that the spacer regions impart differing conformations or curvatures to the DNA. We speculate that the spacer can influence the trajectory or flexibility of DNA as it enters the RNAP channel and that region 1.1 acts as a "gatekeeper" to monitor channel entry.

Advances in bacterial promoter recognition and its control by factors that do not bind DNA

Early work identified two promoter regions, the -10 and -35 elements, that interact sequence specifically with bacterial RNA polymerase (RNAP). However, we now know that several additional promoter elements contact RNAP and influence transcription initiation. Furthermore, our picture of promoter control has evolved beyond one in which regulation results solely from activators and repressors that bind to DNA sequences near the RNAP binding site: many important transcription factors bind directly to RNAP without binding to DNA. These factors can target promoters by affecting specific kinetic steps on the pathway to open complex formation, thereby regulating RNA output from specific promoters.

Transcription initiation by mix and match elements: flexibility for polymerase binding to bacterial promoters

Bacterial RNA polymerase is composed of a core of subunits (beta, beta', alpha1, alpha2, omega), which have RNA synthesizing activity, and a specificity factor (sigma), which identifies the start of transcription by recognizing and binding to sequences elements within promoter DNA. Four core promoter consensus sequences, the -10 element, the extended -10 (TGn) element, the -35 element, and the UP elements, have been known for many years; the importance of a nontemplate G at position -5 has been recognized more recently. However, the functions of these elements are not the same. The AT-rich UP elements, the -35 elements ((-35)TTGACA(-30)), and the extended -10 ((-15)TGn(-13)) are recognized as double stranded binding elements, whereas the -5 nontemplate G is recognized in the context of single-stranded DNA at the transcription bubble. Furthermore, the -10 element ((-12)TATAAT(-7)) is recognized as both double strand DNA for the T:A bp at position -12 and as nontemplate, single-strand DNA from positions -11 to -7. The single-strand sequences at positions -11 to -7 as well as the -5 contribute to later steps in transcription initiation that involve isomerization of polymerase and separation of the promoter DNA around the transcription start site. Recent work has demonstrated that the double strand elements may be used in various combinations to yield an effective promoter. Thus, while some minimal number of contacts is required for promoter function, polymerase allows the elements to be mixed and matched. Interestingly, which particular elements are used does not appear to fundamentally alter the transcription bubble generated in the stable complex. In this review, we discuss the multiple steps involved in forming a transcriptionally competent polymerase/promoter complex, and we examine what is known about polymerase recognition of core promoter elements. We suggest that considering promoter elements according to their involvement in early (polymerase binding) or later (polymerase isomerization) steps in transcription initiation rather than simply from their match to conventional promoter consensus sequences is a more instructive form of promoter classification.

Hierarchical binding of the TodT response regulator to its multiple recognition sites at the tod pathway operon promoter

The TodS and TodT proteins form a highly specific two-component regulatory system that controls the expression of genes involved in the degradation of toluene, benzene, and ethylbenzene via the toluene dioxygenase pathway. The catabolic genes of the toluene dioxygenase pathway are transcribed from a single promoter called P(todX) once the response regulator TodT is phosphorylated by the TodS sensor kinase in response to pathway substrates. We show here that TodT is a monomer in solution and that it binds to three specific sites in the P(todX) promoter, centered at -57, -85, and -106 with respect to the transcription start site. The -85 and -106 sites are pseudopalindromic, whereas the -57 site is half a palindrome. TodT binding to its target sites is sequential, as shown by electrophoresis mobility gel shift assays and footprinting. The binding affinity values of TodT, as determined by isothermal titration calorimetry, are 1.8+/-0.2, 5+/-0.4, and 6.3+/-0.8 microM for the -106, -85, and -57 sites, respectively, and the binding stoichiometry is one monomer per half-palindromic element. Mutational analysis revealed that all three sites contribute to P(todX) strength, although the most relevant site is the distal one with respect to the -10 extended element of the downstream promoter element. The C-TodT [C-terminal TodT fragment (amino acids 154-206)], a truncated variant of TodT that contains the C-terminal half of the protein bearing the DNA binding domain, binds in vitro to all three sites with affinity similar to that of the full-length protein. However, C-TodT, in contrast to the full-length regulator, does not activate in vitro transcription from P(todX). We discuss the consequences of the organization of the binding sites on transcriptional control and propose that the N-terminal domain of TodT is necessary for appropriate interactions with other transcriptional elements.