- Open Access
Conservation of the binding site for the arginine repressor in all bacterial lineages
© Makarova et al., licensee BioMed Central Ltd 2001
- Received: 30 October 2000
- Accepted: 6 February 2001
- Published: 22 March 2001
The arginine repressor ArgR/AhrC is a transcription factor universally conserved in bacterial genomes. Its recognition signal (the ARG box), a weak palindrome, is also conserved between genomes, despite a very low degree of similarity between individual sites within a genome. Thus, the arginine repressor is different from two other universal transcription factors - HrcA, whose recognition signal is very strongly conserved both within and between genomes, and LexA/DinR, whose signal is strongly conserved within, but not between, genomes. The arginine regulon is well studied in Escherichia coli and to some extent in Bacillus subtilis and some other genomes. Here, we apply the comparative genomic approach to the prediction of the ArgR-binding sites in all completely sequenced bacterial genomes.
Orthologs of ArgR/AhrC were identified in the complete genomes of E. coli, Haemophilus influenzae, Vibrio choleras, B. subtilis, Mycobacterium tuberculosis, Thermotoga maritima, Chlamydia pneumoniae and Deinococcus radiodurans. Candidate arginine repressor binding sites were identified upstream of arginine transport and metabolism genes.
We found that the ArgR/AhrC recognition signal is conserved in all genomes that contain genes encoding orthologous transcription factors of this family. All genomes studied except M. tuberculosis contain ABC transport cassettes (related to the Art system of E. coli) belonging to the candidate arginine regulons.
- Clostridium Acetobutylicum
- Periplasmic Protein
- Deinococcus Radiodurans
- Arginine Metabolism
Comparison of three transcriptional regulator families with predominantly single representatives from each bacterial genome
Pattern of species*
Type of DNA-binding domain and fused domain
DNA-binding domain conservation†
Sites per genome
'Winged helix'¶ HTH and serine protease (S24 family)
2.20 ± 0.28
SOS box (Gram-negative): CTGTatatatatMCAG
Cheo box (Gram-positive): cGAACrnryGTTYg
Predicted 'winged helix' HTH and uncharacterized domain possibly responsible for activation by chaperonin GroE
1.72 ± 0.22
CIRCE box: TTAGCACTCn9GAGTGCTAA
'Winged helix' HTH and arginine-binding domain
1.81 ± 0.22
ARG box: TGMATwwwwATKCA
The signals recognized by LexA in Gram-negative bacteria and by its ortholog DinR in Gram-positive bacteria (the SOS box  and the Cheo box , respectively) are completely different. Accordingly, the DNA-binding domains of these proteins are divergent (Table 1). The heat-shock regulator HrcA binds CIRCE elements that are located upstream of genes encoding heat-shock proteins (molecular chaperones) in many different genomes [5,6]; in the mycoplasmas, HrcA also regulates heat-shock protease genes . The CIRCE signal is very specific (two complementary nonamers with a 9 base pair (bp) spacer) and is extremely highly conserved in all genomes that encode HrcA (not more than five, and usually less than three, mismatches to the consensus in all known and predicted sites ). The amino acid sequence of HrcA is conserved as well (Table 1).
The arginine regulon, which is regulated by the arginine repressor ArgR/AhrC, represents an evolutionary strategy distinct from that of either the SOS or the heat-shock regulons. The DNA-binding domains of the ArgR/AhrC family are less conserved than those of the HrcA family, but more conserved than those of the LexA/DinR family (Table 1, column 5). DNA signals recognized by ArgR/AhrC are also similar in several bacterial lineages at least [8,9,10,11]. These sites often occur in pairs [12,13,14,15], although single-box sites have also been shown to bind ArgR/AhrC, for example the sites in the catabolic operons of B. subtilis , the adenine deaminase pathway operon in Bacillus licheniformis , and the cer recombination region of the E. coli plasmid ColE1 ([16,17]; see also the study of mutated ArgR ). Unlike the CIRCE element, the ARG box seems to be weakly conserved, even within a genome, and the specificity of recognition is often achieved by cooperative interactions between tandem sites, as shown in both experimental [9,12,13] and statistical  studies. The set of ARG boxes from different genomes, however, is fairly homogeneous, and indeed, arginine repressors from different bacteria appear to be at least partially interchangeable within major taxonomic groups: there is some cross-binding between ArgR and AhrC ; ArgR but not AhrC binds to the Thermus thermophilus sites  and AhrC binds to the Streptomyces coelicolor sites . The ARG box consensus was described as TNTGAATWWWWATTCANW in E. coli [8,12], CATGAATAAAAATKCAAK in B. subtilis [9,10] and AWTGCATRWWYATGCAWT in Streptomycetes  (where W = A or T, K = G or T, R = A or G, Y = T or C, N = any base; Table 1). In addition, binding of ArgR homologs to the sites similar to ARG boxes was reported for other Bacillus species (B. licheniformis  and B. stearothermophilus [23,24]), and for Salmonella typhimurium . Several ArgR-binding sites were predicted on the basis of similarity with the E. coli consensus in the upstream regions of various genes involved in arginine metabolism in Moritella .
In a previous study , we used comparative genomic analysis of regulatory signals to predict the gene composition of the arginine regulon of Haemophilus influenzae using the well characterized E. coli regulon as the starting point. Here we extend this analysis to explore the conservation of the ARG box in all bacteria that encode an ortholog of the ArgR repressor.
The comparative approach to the analysis of regulation is based on the assumption that regulons (sets of co-regulated genes) are conserved in genomes containing orthologs of the relevant regulatory proteins. Thus true candidate binding sites for the regulator occur upstream of orthologous genes, whereas false positives are scattered at random in the genome. This provides a consistency check that sharply increases the accuracy of prediction.
Candidate ARG boxes upstream of arginine metabolism related genes and operons
In addition to previously characterized ARG boxes in B. subtilis we identified a candidate ARG box upstream of the yqjN gene (Figure 1, Table 2), a probable product of recent duplication of the rocB gene encoding an arginine utilization protein with unknown biochemical function. Thus is it likely that YqjN has the same function as RocB and is also involved in arginine degradation.
In the Pseudomonas aeruginosa genome there are three systems closely related to the above transporters. One is orthologous to hisJQMP and the other to artPIQM. These two systems have not been characterized experimentally. The third system, aotQJMP, is closer to hisJQMP than to artPIQM. It encodes transporters of arginine and ornithine, but not lysine , and is located within the arginine and ornithine catabolism locus aot-aru. The aot system is positively regulated by an activator, ArgR, which is encoded by the distal gene of the aotJQMOPargR operon . This activator belongs to the AraC family and is not related to the ArgR repressor of E. coli .
The situation with the C. pneumoniae genome is not clear. It contains the argR gene but no genes for the arginine metabolism. There is a stand-alone artJ gene (encoding an ABC cassette periplasmic protein) and two genes annotated as glnPQ immediately downstream of argR (encoding the transmembrane and ATPase components respectively). In fact, glnP of C. pneumoniae is the bidirectional best hit of the E. coli gene yecC situated in the flagellar locus. The ABC transporters are not easily amenable to orthology analysis, as their specificity may change at a fast rate. As mentioned above, positional and regulatory analysis is often the only computational technique for determining the cellular role of ABC cassettes before experimental verification. We note a pair of ARG boxes upstream of glnPQ and two ARG boxes with lower z-scores upstream of the artJ operon of C. pneumoniae. Thus it is very tempting to predict that these genes in fact encode an arginine transport system regulated by ArgR. We feel, however, that this prediction cannot be accepted without experimental verification, especially in view of two complicating observations. First, both artJ and glnPQ operons are conserved in the genome of C. trachomatis, despite the fact that the latter has no gene for ArgR. Second, ArgR of C. pneumoniae is closer to the ArgR of gamma-proteobacteria than to the AhrC/ArgR of Gram-positive bacteria, but nevertheless the ARG boxes of C. pneumoniae are visible with the Bacillus profile, but not with the gamma-proteobacteria profile.
Taken together these data suggest that ARG regulons represent an interesting (and possibly unique) case which could be considered as an intermediate evolutionary state compared to the HrcA and LexA/DinR regulons. ArgR orthologs retain high similarity on the amino acid level within the major taxonomic groups, and are identifiable between these groups, whereas ARG box conservation is low, although sufficient to be detected in diverged bacterial lineages. Nevertheless, this state seems to be stable and it is not clear what evolutionary forces are responsible for its stability. In this respect it is noteworthy that the structural type of the DNA-binding domain in the protein apparently does not determine the evolutionary relationships with its recognition site. All three aforementioned regulator families, as well as many others, contain the so-called 'winged helix' DNA-binding domain and its conservation is not correlated with conservation of its binding site (Table 1).
The composition of the ARG regulons in different bacteria is known to vary mainly because of diversity in the arginine degradation pathways and species-specific paralogs. The question of the origin of 'additional' ARG boxes thus arises. Because of the low conservation of the ArgR-binding signal, it is possible that some of the sites could be convergent in origin. Moreover, each genome contains a large number of potential ARG box-like sequences that could become actual sites when they become located upstream of an arginine metabolism gene following chromosomal rearrangements .
In contrast, CIRCE elements appear to be direct descendants of the ancient regulon present in the common ancestor of the Bacteria, because the variation in the composition of the CIRCE regulon is minimal and the few additional sites found in some genomes are apparently products of duplication. Most other DNA-binding domains of transcriptional regulators (including LexA) seem to undergo considerable changes together with their DNA signals and regulons. Thus, the evolution of the arginine regulon and ARG boxes seems to reflect a tradeoff between maintaining regulon flexibility on one hand and retaining the universal regulatory mechanism on the other.
Another interesting aspect of the arginine regulon strategy is the use of single and cooperative sites. In E. coli, the use of cooperative binding sites by ArgR seems to be a consequence of a requirement for a sharper response to a stimulus (arginine starvation) compared to the SOS response (single sites are usually used by LexA) . Unfortunately, the available data seems to be insufficient to draw any systematic conclusions. In particular, as second sites in the cooperative cassettes are often weak (have low scores), some of them could be missed by the recognition rule. Direct experimental studies are needed to clarify this issue. Another problem that was not directly addressed in this study is the role of the E. coli arginine repressor in recombination and its binding to the cer site, which contains a single ARG box [16,17]. We have noted, however, conservation of this box in the monomerization site ckr of the plasmid ColK .
There are a few more transcription factor families (biotin operon repressor, COG1654; putative stress-responsive transcriptional regulator PcpC, COG1983; Bvg accessory factor homologs, COG1521 ) with a single representative per genome, and it would be interesting to compare them as well. They do not, however, contain a sufficient number of experimentally determined binding sites and are not so ubiquitous in the bacterial genomes as the three regulators discussed previously. With more available genomes, we hope that our approach, combined with positional analysis aimed at finding co-localized, and thus possibly functionally related enzymes and regulator genes [35,36], will enable us to make this comparison. On the other hand, we feel that the predictions made in this study, especially identification of the Art family ABC transporters in several diverse genomes, are sufficiently interesting to warrant experimental verification.
The profile for ARG box identification was constructed as follows. Upstream regions of B. subtilis operons involved in arginine metabolism were selected. An iterative signal search procedure was applied as described previously . The resulting ARG box profile was constructed using the four sites upstream of argC, argG, rocA and rocD. These formally identified sites are a subset of the experimentally known sites . Gamma-proteobacteria were analyzed using the longer E. coli ARG box profile taken from . Only genes having candidate sites in five or more out of the eight genomes analyzed were considered as candidate regulon members and were retained for further analysis. This procedure could lead to the loss of some true sites, but ensured that false sites were not accepted.
The complete genomes of E. coli, H. influenzae, Vibrio cholerae, B. subtilis, Mycobacterium tuberculosis, Thermotoga maritima, Chlamydia pneumoniae and Deinococcus radiodurans were downloaded from GenBank . The complete genome of Clostridium acetobutylicum was obtained at .
We thank Eugene Koonin, Yury Kozlov and Igor Rogosin for useful discussions. This study was partially supported by grants from the Merck Genome Research Institute (244), the Russian Fund of Basic Research (99-04-48247 and 00-15-99362), the Russian State Scientific Program 'Human Genome', INTAS (99-1476), the Howard Hughes Medical Institute (55000309), and Microbial Genome Program, Office of Biological and Environmental Research, DOE (DE-FG02-98ER62583).
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