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The MetJ regulon in gammaproteobacteria determined by comparative genomics methods



Whole-genome sequencing of bacteria has proceeded at an exponential pace but annotation validation has lagged behind. For instance, the MetJ regulon, which controls methionine biosynthesis and transport, has been studied almost exclusively in E. coli and Salmonella, but homologs of MetJ exist in a variety of other species. These include some that are pathogenic (e.g. Yersinia) and some that are important for environmental remediation (e.g. Shewanella) but many of which have not been extensively characterized in the literature.


We have determined the likely composition of the MetJ regulon in all species which have MetJ homologs using bioinformatics techniques. We show that the core genes known from E. coli are consistently regulated in other species, and we identify previously unknown members of the regulon. These include the cobalamin transporter, btuB; all the genes involved in the methionine salvage pathway; as well as several enzymes and transporters of unknown specificity.


The MetJ regulon is present and functional in five orders of gammaproteobacteria: Enterobacteriales, Pasteurellales, Vibrionales, Aeromonadales and Alteromonadales. New regulatory activity for MetJ was identified in the genomic data and verified experimentally. This strategy should be applicable for the elucidation of regulatory pathways in other systems by using the extensive sequencing data currently being generated.


The advent of fast sequencing techniques over the past few decades has led to an exponential increase in the number of fully sequenced organisms, particularly bacteria with their smaller genomes. Although a great deal of data is being generated, much of it is in the form of annotations based on automated similarity searches. It is important to validate these annotations and extend the use of the databases by organizing the genes into coherent pathways.

Here sequenced bacterial genomes were used to determine the full extent of the MetJ regulon in gammaproteobacteria. This regulon is controlled by the transcription factor MetJ which represses genes involved in methionine biosynthesis and transport [14]. Figure 1 shows various metabolic pathways involving methionine and Table 1 gives the functions of the genes. To date, the MetJ regulon has been studied almost exclusively in E. coli and the closely-related Salmonella, but it is likely that the complement of repressed genes extends beyond that known in these organisms.

Figure 1

Methionine as the center of various metabolic pathways. Key is in upper-right. Genes regulated by MetJ are in black; other genes are in gray.

Table 1 Functions of the genes involved in methionine utilization

Previously, genes in the regulon were recognized on an individual basis by identifying DNA binding sites for MetJ, called metboxes, or by showing regulation via MetJ, methionine or its derivative S-adenosylmethionine (AdoMet) which is the co-factor for MetJ. Efforts to do large-scale, undirected searches for MetJ-regulated genes have been limited to E. coli [5, 6]. By expanding our search to all sequenced bacteria, the dataset we had available for this study included 206 sequenced organisms representing 41 genera in 5 orders.

In this study, we have identified the conserved members that form the core of the regulon in all the organisms. While each species has a unique spectrum of regulated genes, the over-all regulon includes all the genes involved in methionine biosynthesis, salvage and transport. We have identified some previously unknown members of the regulon and, in addition, have experimentally confirmed that some of these are regulated by MetJ in vivo.


MetJ homologs and metboxes

Based on BLAST searches, MetJ homologs exist only within the gammaproteobacteria, and only within five orders: Enterobacteriales (Ent), Pasteurellales (Pas), Vibrionales (Vib), Aeromonadales (Aer) and Alteromonadales (Alt). These orders are shown in the phylogenetic tree in Figure 2 which was generated by the Orthologous Matrix Project based on whole genome comparisons of sequenced bacteria [7]. The most recent revision (December, 2010) includes most species that were part of this study. The gammaproteobacteria represent an important group of bacteria that are intimately involved in human life. They not only include the causative agents of diseases like cholera (Vibrio cholerae), chancroid (Haemophilus ducreyi), typhoid (Salmonella enterica) and the plague (Yersinia pestis), but they also include species that provide benefits such as aiding in the digestion of humans (Escherichia coli) and cows (Mannheimia succiniciproducens), acting as an agricultural insecticide (Photorhabdus luminescens), and being used in environmental bioremediation (Shewanella oneidensis). The five orders of interest all cluster in one part of the tree so it appears that MetJ entered the bacterial lineages at their common origin. All the sequenced organisms within these five orders have MetJ homologs with the exception of symbiotic Ent species (colored in orange). Almost all these species have lost MetJ as part of the massive reductions their genomes underwent during their shift to a symbiotic lifestyle. We note that three species (Marinobacter aquaeolei, Saccharophagus degradans and Teredinibacter turnerae) were annotated as Alt but they lack a MetJ homolog and metboxes, and they do not cluster with other Alt species, so they may have been misclassified. They were thus excluded from the analysis.

Figure 2

Phylogenetic tree of the gammaproteobacteria. Species with MetJ homologs are color-coded by order: Alt, Alteromonadales (green); Aer, Aeromonadales (blue); Vib, Vibrionales (purple); Pas, Pasteurellales (red); Ent, Enterobacteriales (orange for symbiotes, yellow for the rest). Selected other species are show in black. Three species marked with an asterisk were assigned to Alt but do not cluster with other Alt species.

In order to look for metboxes in all these species, the known metboxes from E. coli were used as a training set to identify potential metboxes. High-confidence sequences that occurred with genes which were part of the known MetJ regulon in E. coli were used to create the final bit matrix for the final search, as described in the Methods. Methionine-related genes which had potential metboxes in a large number of species, particularly across multiple orders, make up the final list of candidate genes. Table 2 summarizes the membership in the MetJ regulon, indicating how many species within an order have the gene, and how many of those genes have metboxes. Figure 3 maps the degree of regulation for each gene onto the metabolic pathways involving methionine. A full list of candidate metboxes that were identified is available as Additional file 1 (Table S1), while a full list of candidate genes is available as Additional file 2 (Table S2). The spectrum of regulation shown in Table 2 and Figure 3 varies a great deal for each species, but, as expected, the known biosynthetic and transporter genes are well-represented.

Table 2 Composition of the MetJ regulon for the five orders
Figure 3

Summary of genes regulated by MetJ in the various metabolic pathways. The extent of regulation for each gene in the MetJ regulon is mapped onto a compressed pathway of methionine metabolism. Genes are annotated for their presence in an order, as well as the percent of those genes that have metboxes. Symbiotic bacteria have been excluded from "Ent" (Enterobacteriales), but are included in "All". Key is in upper-right; other features are the same as in Figure 1.

For the entire complement of the MetJ regulon, most organisms regulate 70-80% of the genes, particularly Ent, Vib and Alt. For the Aeromonads, A. hydrophila regulates 94% of its genes, while Tolumonas only does 57%. The Pasteurellales are also highly variable, with repression percents ranging from 27% for Aggregatibacter to 69% for Pasteurella. Among the Ent symbiotes, only two species, Hamiltonella defensa and Baumannia cicadellinicola, have MetJ homologs, and it is a pseudogene in the latter. (We note that the classification of genes as pseudogenes in this paper is based on the genome annotation and therefore could be affected by sequencing errors. However in the case of symbiotic species, pseudogenization and gene loss are common features of reductive genome evolution [8].) These species are also the only symbiotes with metboxes, although with a limited distribution; in H. defensa only metNIQ has them, while in B. cicadellinicola only metE/R have them. The metbox regions for these genes are highly similar to those of other Ent species (70% identical to the corresponding regions of E. coli) and appear to be conserved from the common ancestor.

In addition to the Ent symbiotes, Sodalis glossinidius (Ent) and Haemophilus ducreyi (Pas) show a great deal of attrition in the MetJ regulon. S. glossinidius lives as a symbiote of tsetse flies but unlike the other symbiotic species, it has not reduced its genome significantly. However, while the genome is about the same size as E. coli, S. glossinidius has only about half as many intact genes. For our genes of interest, metE2a, metH, metL, mtnK, mtnA, mtnC, mtnE and btuB are identifiable as (unannotated) pseudogenes. Other than metH and metL, it retains the full complement of biosynthetic enzymes. In the case of H. ducreyi, an obligate pathogen, almost all genes of the MetJ regulon have been lost and it retains only metJ, metK and metNIQ. Of these, only metK retains its metboxes, so we may be seeing the first stage of the loss of metJ from this organism.

Regulation by MetJ

In order to confirm their regulation by MetJ, some of the candidate genes were chosen for further study. The ability of MetJ to regulate the genes was assessed in vivo using an ONPG assay where the native operators (400 base pairs upstream of the coding sequence) were used to direct expression of lacZ. We cannot assume all foreign promoters will be functional in E. coli, but we are interested only in the expression of the gene in the presence of MetJ relative to the expression without MetJ, i.e. the repression ratio (RR). (We also note that we had difficulty transforming constructs containing H. influenzae operators into E. coli, although constructs from the other species could be readily transformed.)

We tested the known E. coli genes as well as some negative controls to determine the variability of repression. We then included a selection of genes from a variety of other organisms. Figure 4 shows the repression ratios for the various operators tested. The negative controls show ratios close to 1.00 while most of the repressed genes have ratios < 0.25. A gel shift was also performed to verify direct MetJ binding to the DNA sequences (Additional file 3 Figure S1), and those operators which were bound by MetJ are displayed as black bars in Figure 4. Ec.exbB is black because it shares an intergenic region with Ec.metC, but it is not regulated by MetJ in vivo. Ec.metH is white because it has no metboxes, but is strongly repressed in vivo by indirect regulation through MetR [9]. Ec.metJ itself shows fairly weak repression which is consistent with previous reports [10, 11] and arises from the fact that one of its three promoters is constitutive and non-repressible. It is therefore likely that other genes with ratios around 0.50 are either weakly or indirectly repressed. Individual genes are discussed below.

Figure 4

ONPG assay for testing regulation in vivo. The results of the ONPG assay are summarized as the ratio of expression under repressed conditions (wt E. coli) to that under derepressed conditions (ΔmetJ). Black bars indicate the operator sequence was bound by MetJ in a gel-shift assay (Figure S1), while white bars were not bound. Species abbreviations are: Ec, Escherichia coli K12 W3110; Hi, Haemophilus influenzae Rd KW20; KIM, Yersinia pestis KIM; Kp, Klebsiella pneumoniae; So, Shewanella oneidensis; Vc, Vibrio cholerae N16961; Ye, Yersinia enterocolitica; Yp, Yersinia pseudotuberculosis YPIII.

Transcription regulators

MetJ is auto-regulated in 96% of the species where it occurs, although this repression is fairly weak. As described above, it was only repressed by half in our ONPG assay. In most species the gene occurs as part of a conserved cluster which includes metB, metL and metF (Figure 5), and it typically shares an intergenic region, and metboxes, with metB.

Figure 5

Genomic organization of the genes in the metJBLF cluster. Species are: Ec, Escherichia coli K12 MG1655 (Ent); Hi, Haemophilus influenzae Rd KW20 (Pas); Vc, Vibrio cholerae N16961 (Vib); Ah, Aeromonas hydrophila (Aer); So, Shewanella oneidensis (Alt); Cp, Colwellia psychrerythraea (Alt); and Kk, Kangiella koreensis (Alt). Genes are color-coded and spaces have been introduced between adjacent genes in order to align homologs vertically. In cases where a large number of other genes intervene between those of interest, a separation symbol is used://. Sites of metboxes are indicated by a circled X. Genes which were tested for repression in this paper are displayed with their repression ratio above the gene arrow.

In addition to MetJ, some genes of the MetJ regulon are also regulated by MetR, a transcriptional activator of the LysR family. This protein primarily controls the expression of genes at the end of the pathway: metF, metE and metH, but also metA, glyA, luxS and metR itself. This gene is well represented in 91% of the species, and has metboxes in 89% of those. It almost always co-occurs with metE and they are divergently transcribed from a common intergenic region with common metboxes. In Alteromonas macleodii, an Alt species which lacks metE, metR is instead located 1 kilobase away from metH.

Methionine biosynthesis genes: homocysteine formation

In the canonical biosynthetic pathway, the backbone of methionine comes from aspartate, which is also the precursor to lysine, threonine and isoleucine (Figure 1). Consequently, the three steps to convert aspartate to homoserine are catalyzed by the isoforms MetL (aspartokinase II, homoserine dehydrogenase II), ThrA (aspartokinase I, homoserine dehydrogenase I) and LysC (aspartokinase III), as well as the unique enzyme Asd (aspartate semialdehyde dehydrogenase). We note that all organisms without metL (mostly symbiotes and Pasteurellales) have thrA (distinguishable because it clusters with thrB and thrC) so it is possible that thrA provides the necessary function in those species. In almost every species of interest, the metL gene forms an operon with metB, and thus is regulated by the metB promoter (Figure 5). The only exceptions are Idiomarina, where metB has been lost, and Kangiella, where the operon has been expanded to include metX2 and metF.

The immediate precursor to methionine is homocysteine which can be made in multiple ways. Homoserine, created by MetL, is first activated by either succinylation or acetylation, and this represents the first committed step in methionine biosynthesis. These reactions are normally carried out by the unrelated proteins MetA (homoserine O-succinyltransferase) and MetX (homoserine O-acetyltransferase), however the two proteins do not have strict specificities [12]. Homocysteine can then be generated by either direct sulfhydrylation, a single step using inorganic sulfur, or by transsulfuration, a two step process using cystathionine as an intermediate with cysteine as the sulfur donor. The first reaction is usually catalyzed by MetY (O-acetylhomoserine (thiol)-lyase), while the second set of reactions is carried out by MetB (cystathionine gamma-synthase) and MetC (cystathionine beta-lyase). However, just as with MetA and MetX, there is a certain amount of promiscuity in the functions of MetY, MetB and MetC [13], particularly since they all belong to the same transsulfuration family of pyridoxal-dependent enzymes (Additional file 4 Figure S2).

For the first step of homoserine activation, almost all our species of interest use MetA (83%), and it has metboxes in most of them (86%). In addition, the E. coli protein is known to be feedback inhibited by methionine and AdoMet, and to be regulated at the level of transcription by MetR as well as MetJ. In most Ent and some Alt and Aer it occurs close in the genome to metH, the B12-dependent methionine synthase, even seeming to form an operon in Pseudoalteromonas and Alteromonas species.

The species without MetA either lack de novo biosynthesis (Ent symbiotes and H. ducreyi) or use MetX homologs (Pas and the Alt species Idiomarina and Kangiella). These genes all have metboxes. In addition, five Alt (three Pseudoalteromonas, Alteromonas and Idiomarina) and one Ent (Pantoea sp. At-9b) have a MetX homolog even though they also have MetA (or MetX1 in the case of Idiomarina). These genes do not have metboxes. The few metX genes that exist seem to have arisen from horizontal gene transfer; metX in Pas likely came from Listeria or a close relative [12].

In addition to replacing MetA with MetX, Pas species also replaced MetB with MetB2 from Gram-positives [14]. These two genes are not located close to each other on the chromosome so they may represent independent transfers. Possibly the native MetB was not capable of or efficient at recognizing the acetylated product of MetX; E. coli MetB can act on acetyl-homocysteine although not as efficiently as the succinylated substrate [13]. MetC remains to convert cystathionine to homocysteine. One of the H. influenzae strains (PittGG) lacks MetB2 and MetX is a pseudogene so it may have lost the ability to synthesize methionine. While all the Pas metX genes have metboxes and they were shown to be functional in H. influenzae, albeit weakly (RR = 0.52), only one of the metB2 genes has potential metboxes.

With the notable exception of Pas, succinylation by MetA and transsulfuration using MetB and MetC appears to be the ancestral pathway for homocysteine synthesis as these genes are well represented in all the orders. In almost all cases (98%) metB has metboxes, while metC has metboxes only in about half the Ent and a handful of Alt. Among the Ent symbiotes, only Baumannia and Blochmannia have the three genes, but none of them have metboxes. metB is a pseudogene in Yersinia pestis strains, which explains its known methionine auxotrophy [15]. Although it relies on transport to meet its methionine needs, Y. pestis has not yet lost any of the other genes associated with biosynthesis, or the metboxes that regulate them.

MetY homologs, which create homocysteine via direct sulfhydrylation, are eclectically represented in the five orders, but unlike MetA, MetB and MetC, the distribution of the MetY homologs does not match the phylogeny, so they are probably not inherited. There are metboxes in most of the Aer and Alt species and the gene from Shewanella is strongly repressed by MetJ (RR = 0.11). Almost all the species with MetY also have MetA, MetB and MetC so they may be able to use both pathways for homocysteine synthesis. The Alt Idiomarina is unique in that it lacks MetA, MetB and MetC and only has MetX1 and MetY, which form an operon and therefore presumably function together. Kangiella is odd in that it has metB, but not metY or metC. Probably MetB in this organism is capable of converting the MetX2 product directly to homocysteine through direct sulfhydrylation, a secondary function that E. coli MetB also has [13].

Methionine biosynthesis genes: methionine formation

Homocysteine is converted to methionine using one of two unrelated enzymes: MetH, which requires vitamin B12 (cobalamin) as co-factor, and MetE. For organisms which have both proteins (~70% of our species), MetH is preferred when B12 is available since it is a much more efficient enzyme than MetE. MetH has metboxes in Vib, Aer and Alt species, but rarely in Ent or Pas. MetE, on the other hand, has metboxes in almost every species. This is probably because, in the absence of repression, the metE gene is very highly expressed to overcome the fact that it is such an inefficient enzyme [16]. In E. coli, this expression also requires MetR so it is not surprising that, with the exception of symbiotes, all species with metE also have metR, although the reverse is not true. As said before, metE typically shares a locus with metR, with the two genes being divergently transcribed from a common intergenic region in almost all species.

The terminal methyl group for methionine comes from the donor 5-methyltetrahydrofolate which is made by the enzyme MetF (5,10-methylenetetrahydrofolate reductase) and is usually in a glutamylated form. MetF has metboxes in almost all species (85%), the primary exception being Pas. In addition, there are four Alt species (Psychromonas ingrahamii, Shewanella piezotolerans, Colwellia psychrerythraea and Pseudoalteromonas haloplanktis) that lack the ortholog of E. coli metF, but instead have a gene we will refer to in this paper as metF2. This is only weakly similar to metF, but contains the same conserved domain (cd00537; PF02219). Because it occurs in species without metF, and because 3 of the 4 genes have metboxes, this gene likely performs the same function.

All but seven organisms have one or both of metE and metH, along with metF and thus can presumably synthesize methionine from homocysteine. Four of these deficient species are the symbiotes Hamiltonella, Wigglesworthia, Riesia and the Pas H. ducreyi which also lack the pathway for homocysteine synthesis. The Pas A. succinogenes and Alt Idiomarina lack metE, metH and metF while retaining the genes necessary for homocysteine synthesis. In the case of Idiomarina, it was shown that it is capable of growing in the absence of methionine [17] so it must have another pathway for its creation. It does not have any close homologs of metH or metE, but A. succinogenes has homologs of both metH (MHT2) and metE (metE2b and metE2c) so possibly one or more of these can complement the loss. The Aer A. salmonicida lacks only metF while retaining the synthases, so only its methyl donor is unknown.

S-adenosylmethionine synthesis

Methionine can be further converted into S-adenosylmethionine (AdoMet) by the essential enzyme MetK. AdoMet is primarily used as a methyl donor but is also required for synthesis of polyamines, autoinducers and other molecules [18, 19]. Crucially for the MetJ regulon, AdoMet is the co-factor for MetJ, which thus detects methionine levels only indirectly. The metK gene has metboxes in most Ent and Pas, but only a handful of Vib and Alt and no Aer. In many Gram-positive bacteria, which all lack MetJ, methionine biosynthesis is regulated by an AdoMet riboswitch [20, 21]. Thus it seems that AdoMet synthesis is usually coordinately regulated as a part of methionine metabolism.

Methionine salvage

The methionine salvage (MS) pathway allows the recycling of methylthioadenosine (MTA), produced during polyamine synthesis and other reactions, back to methionine (reviewed in [22]). MTA, which is a potent inhibitor of its parent reaction, is cleaved to methylthioribose (MTR) by the ubiquitous nucleosidase MtnN (5'-methylthioadenosine/S-adenosylhomocysteine nucleosidase). In E. coli, which lacks the MS pathway, MTR is excreted [23] and this may be true for other species which lack the pathway.

The enzymes which convert MTR to methionine in Enterobacteria are (in order of reaction): MtnK (5-methylthioribose kinase), MtnA (S-methyl-5-thioribose-1-phosphate isomerase), MtnB (methylthioribulose-1-phosphate dehydratase), MtnC (2,3-diketo-5-methylthio-1-phosphopentane phosphatase), MtnD (1,2-dihydroxy-3-keto-5-methylthiopentene dioxygenase) and MtnE (methionine aminotransferase). The pathway is illustrated in Figure 1. The final step can actually be catalyzed by multiple aminotransferases, such as tyrB in Klebsiella [24], while mtnV, the aminotransferase in Bacillus subtilis, was found to be dispensable [25]. Nevertheless, the mtnE gene is special because it only occurs in species that have (or whose ancestors had) the MS pathway, it clusters with other MS genes, and it is the only aminotransferase with metboxes. There are also some alternate proteins used by other species. For instance the single enzyme MtnP (methylthioadenosine phosphorylase) can be used in place of MtnN and MtnK, while MtnW (2,3-diketo-5-methylthiopentyl-1-phosphate enolase) and MtnX (2-hydroxy-3-keto-5-methylthiopentenyl-1-phosphate phosphatase) can be used in place of the bifunctional enzyme MtnC. None of these alternate enzymes have close homologs in our species of interest however.

In addition, these genes co-occur with a probable MTR transporter initially identified in Bacillus cereus [26]. It has not been functionally characterized yet, but is similar to other sugar transporters and has an S-box (AdoMet riboswitch) in B. cereus as well as metboxes in gammaproteobacteria. We will refer to the three components of this ABC transporter as mtrACB. The mtrB gene is usually closely followed by a gene of unknown function (COG5276) which we refer to as mtrY since its role is a mystery. Another gene, called mtnU, is closely associated with the MS genes. It is a nitrilase (from conserved domain cl11424) but its specificity is unknown. It was proposed to have a regulatory function in B. subtilis because it was produced at much lower levels than the other proteins [25]. Finally, another protein of unknown function, the putative alcohol dehydrogenase ybdH, also co-occurs with the MS genes and shares regulation by common intergenic metboxes.

Figure 6 shows the distribution and genomic context of the MS genes in our species of interest. Genes are color-coded and arranged to highlight the general conservation of the clusters. For all the MS genes tested, repression by MetJ was generally very tight (RR ≤ 0.12 for ybdH, mtnA, mtnB, mtnK, mtnE and mtrB in E. coli, Yersinia or Klebsiella, but 0.42 for mtrA in Klebsiella). The presence of metboxes between ybdH and mtnE (formerly ybdL) in E. coli was also noted by the Church group [27]; they generated knock-outs of the metboxes which caused an increase in the expression of both genes as determined by quantitative real-time PCR.

Figure 6

Genomic organization of the genes of the methionine salvage pathway. The different patterns are represented by one species for each genus with a unique pattern: Ec, Escherichia coli K12 MG1655; Ck, Citrobacter koseri; Eclo Enterobacter cloacae ATCC 13047; Kp, Klebsiella pneumoniae NTUH-K2044; Cs, Cronobacter sakazakii; Pa, Pantoea ananatis; Pa2, Pantoea sp. At-9b; Ea, Erwinia amylovora; Ye, Yersinia enterocolitica; Sp, Serratia proteamaculans; Dd, Dickeya dadantii Ech703; Patr, Pectobacterium atrosepticum; Sg, Sodalis glossinidius; Ps, Pseudoalteromonas sp. SM9913. Genes are color-coded and spaces have been introduced between adjacent genes in order to align homologs vertically. Pseudogenes in S. glossinidius have letters after the locus number. In cases where a large number of other genes intervene between those of interest, a separation symbol is used://. Groups of metboxes are indicated by circled numbers based on which genes they are adjacent to. These are filled in black if there is strong conservation (≥70% identity to a reference species), outlined in black for weaker conservation (≥60% identity), and outlined in gray for more divergent sequences. The reference species were C. koseri for groups 1, 3 and 4; and P. atrosepticum for group 2. Genes which were tested for repression in this paper are displayed with their repression ratio above the gene arrow. In the case of Yersinia, ratios in parentheses refer to Y. pseudotuberculosis.

The full complement of genes exists only in the Enterobacteria, although individual species have suffered various rearrangements and losses. In Klebsiella, the mtnB gene was inverted and moved to the middle of a cluster of ~15 genes that were inserted between mtnA and mtnD. In the branch leading to E. coli, Salmonella and Citrobacter the entire cluster has been deleted, causing the flanking genes, ybdH and mtnE, to come together and share common regulation by the group 4 metboxes. In C. rodentium, even ybdH and mtnE were lost, but the upstream and downstream genes are the same as in the other species in that branch indicating that this was a localized deletion. In C. koseri, the entire MS cluster has then apparently been re-acquired, causing a duplication of the group 4 metboxes. For Yersinia pestis, all the strains except for Angola and Pestoides have lost the enzymes. They retain ybdH and the mtrACBY cluster, but mtrA is a pseudogene in all of them.

Oddly enough, one of the three Pantoea species (strain At-9b) has two mtrB genes. Pat9b_0820 occurs next to mtrAC, just like in other Pantoea and closely related Erwinia strains, while Pat9b_3290 occurs separate from the other MS genes in a cluster with ybdH and mtrY, which otherwise do not occur in Pantoea and Erwinia. Of all the other species with the MS pathway, only Serratia shares this pattern for the three genes. This suggests that in Pantoea sp. At9b, and maybe Serratia as well, the genes were re-acquired as a group. We note that none of the flanking genes are the same for these two species so the synteny only includes this 3-gene cluster. Since these genes also have different trees than the other MS genes, we distinguish them as ybdH2-mtrB2-mtrY2.

In addition, 3 of the 51 Escherichia/Shigella strains (UMN026, S88 and SE15) have acquired genes for mtnK and mtnA, apparently from alphaproteobacteria which have the most similar homologs. These genes form a cluster with a gene that is weakly similar to mtnB, but is most similar to the native fucA (D-ribulose-phosphate aldolase). We will refer to it as mtnB2. The insertion of the cluster was presumably phage-mediated as the genes are adjacent to a KpLE2 prophage. The genes co-occur with a fourth gene that is only found in these three E. coli strains and is annotated as a sugar permease. It is possible this cluster of genes is involved in the transport and enzymatic alteration of a sugar with unknown specificity. None of these genes have metboxes.

Enterobacteria at the base of the tree, Edwardsiella, Photorhabdus, Proteus and Xenorhabdus, lack all the genes associated with the MS cluster. The pathway is also lacking in the other orders, although some genes do unexpectedly show up in a handful of other species, e.g. an mtnK homolog in one Vib species (Aliivibrio). Among the Alt we find mtnE in two Shewanella species; mtnC in Ferrimonas and all 20 Shewanella species; mtnB and mtnU in Pseudoalteromonas haloplanktis; and the entire mtn cluster in Pseudoalteromonas sp. SM9913. Although we initially believed this was a result of horizontal gene transfer, phylogenetic trees for the genes match those of the organisms. Furthermore the metboxes, which are only preserved in the two Pseudoalteromonas, appear quite divergent from the Ent examples in the same context. This suggests that these genes have been in their genomes for a long time.


There are two known systems for methionine transport in the gammaproteobacteria. The most widespread is the ABC transporter MetNIQ which has been characterized in E. coli [3, 4]. Except for two Alt species (Psychromonas and Ferrimonas), this transporter only occurs in Aer, Vib, Pas and Ent. The other transporter was recently identified in Gram-positive bacteria, as well as homologs in Vibrio and Shewanella, called MetT [26]. This is a member of the NhaC Na+/H+ antiporter family and only occurs in Alt, Aer and Vib species. Thus metT appears to be the ancestral transporter that was lost at the time Pas branched off (see Figure 2), while metNIQ may be a newcomer that was introduced after most of the Alt species had already speciated. About 68% of Aer and Vib species retain both transporter systems. In almost all cases the transporter genes have metboxes and all the genes that were tested showed repression by MetJ: Ec.metN (RR = 0.05), Vc.metT (0.08) and Sh.metT (0.21). Thus all species, except for some symbiotes and two Alteromonads (Alteromonas and Kangiella), have methionine-specific transporters. In the case of Alteromonas, the only transporter with metboxes is MADE_2464 which is a putative polysaccharide transporter (conserved domain cl10513) and thus seems unlikely. In the case of Kangiella, one uncharacterized gene with potential metboxes has some similarity to dipeptide transporters: Kkor_1992 (DUF1302 superfamily). Homologs of this gene occur in other Alt species, but not with metboxes.

Vitamin B12, or cobalamin, is the necessary co-factor for the methionine synthase MetH, as well as some other enzymes. It is transported across the outer membrane by BtuB. Expression of this gene is known to be regulated by a riboswitch [28, 29]. Regulation by MetJ was not suspected because E. coli and Salmonella lack metboxes. However, btuB genes in a third of our species of interest do have potential metboxes and the Yersinia ones we tested are functional (RR = 0.06 for Y. pseudotuberculosis, 0.25 for Y. pestis but 1.01 for E. coli which lacks the metboxes). The metboxes are located at the start of transcription, which includes the sizeable riboswitch, thus they are on average ~300 bp away from the start of translation. There are no other genes for which the metboxes are typically so far away. If it is the case the metboxes must precede riboswitches, then this suggests that no other gene in our study is also regulated by a riboswitch.

Another candidate transporter is similar to mtsABC, a metal transporter from Streptococcus [30]. This was also identified as part of the methionine regulon in Gram-positives [26]. Among our species, it only exists in Vib but has metboxes 60% of the time. It is annotated as a potential cobalt transporter which may link it to cobalamin utilization, just like btuB.

Finally, there is an NhaP Na+/H+ antiporter family member in Pas, Vib, Aer and one Alt species. This is a transporter of unknown specificity. It has metboxes in some Vib and Aer species, but only when it shares an operator with metH. Although this pattern suggested that these metboxes should be specific to metH, when tested with the ONPG assay the nhaP gene from V. cholerae had the same level of repression as metH (0.46 vs. 0.50).

Other regulated genes

There are various other genes that do not fit into the main categories of synthesis, salvage and transport. The mmuPM operon is composed of two genes: mmuP codes for an S-methylmethionine permease while mmuM codes for a specialized homocysteine methyltransferase that uses S-methylmethionine as its substrate [31, 32]. MmuP is similar to other amino acid permeases like AroP and LysP while MmuM belongs to the same family as MetH. These genes exist in a random handful of Ent species. Among the 51 sequenced Escherichia/Shigella strains, only six K12 strains have homologs, and in those species they occur as part of the CP4-6 prophage. In strain BW2952, a subsequent deletion of ~100 kb led to the loss of mmuM and the fusion of the N-terminus of mmuP with the C-terminus of mhpD. This has happened recently enough that the metboxes have not been lost yet. For the other species, however, the homologs are not associated with a phage insertion. Furthermore, except for Pectobacterium the metboxes appear to be the same for all the species (≥60% identity to Klebsiella), suggesting a common origin for them. The mmuPM metboxes are unusual in that they occur very close to the start of translation, only 2 bases away in E. coli. For the other metboxes in this study, the average gap is ~75 bases. It was previously shown by immunoblotting that MmuM expression was reduced by high methionine concentrations [32]. We tested the operators for Ec.mmuP and Kp.mmuP and both were highly repressed (RR = 0.02) in the presence of MetJ.

There are several homologs of the two methionine synthases, MetH and MetE. MetH (and MmuM) belong to the MHT (homocysteine/selenocysteine methylase) superfamily (conserved domain cl14105). All the closely related genes from our species of interest are shown in Figure 7A. These proteins correspond to the homocysteine-binding domain of MetH only and thus lack the tetrahydrofolate, B12 and AdoMet binding domains [33]. Like mmuPM, these genes co-occur with transporters and therefore may represent a specific transporter paired with a cognate enzyme (Figure 7B). There are two sub-groups that have metboxes: MHT1 is defined by the fact that these genes co-occur next to a putative peptide ABC transporter (similar to E. coli dppABCD) while MHT2 is defined by the genes' co-occurrence next to a member of the APC family of amino-acid transporters (similar to arcD from Pseudomonas). Among all the species of interest, the transporter genes only occur in these clusters with MHT homologs, making it more likely that they function together. We were not able to include these genes in the current study, but it would be desirable to test them later for activity and regulation.

Figure 7

Genes containing methionine synthase domains. (A) Members of the MHT superfamily. Proteins were aligned with the first ~350 residues of E. coli metH which contains the MHT domain. (B) mmuM, MHT1 and MHT2 (in red) occur in clusters with transporters mmuP, dppABCD and arcD (in blue) respectively. (C) Members of the CIMS-C-terminal-like family. Proteins were aligned with the C-terminal half of E. coli metE which is the more conserved half. Genes have been collapsed by genus and are indicated by the species abbreviation of one representative member of the genus. The number in parentheses afterwards indicates the number of species which were excluded. Species color-coding is as described in Figure 2. Genes with metboxes are in bold and marked with an asterisk.

MetE belongs to the CIMS-C-terminal-like family (conserved domain cd03311) and Figure 7C shows the other homologous genes. These proteins are half the size of MetE, which probably arose from an ancient duplication event [34]. Genes in the MetE1 group have no metboxes and occur downstream of a protein of unknown function (pfam08908) which only occurs with MetE1, suggesting these two proteins share a related function. None of the genes in the MetE2 cluster occur in a conserved environment, or adjacent to any putative transporter. Most of the genes in the MetE2a subgroup have metboxes. We tested Klebsiella pneumoniae and found that it was strongly repressed (RR = 0.02) by MetJ. Since all the organisms with MetE2a also have MetE, it is not clear what role this enzyme plays in metabolism.

In addition to the main MetNIQ cluster, there are various other components of this transporter system. There are six other 3-gene clusters with varying gene orders: metNIQ, metIQN and metQNI. These are referred to as metD2-7 in Table S2. There are two 2-gene clusters (metNI) and four isolated metQ homologs. (The number of homologs of metN was on the order of several thousand, so only those that cluster with metI or metQ are included in Table S2.) None of these genes are very common and very few of them have metboxes. MetQ is the periplasmic substrate-binding component and since MetNIQ can transport both D- and L-methionine, it was proposed that metQ and its only homolog in E. coli, called nlpA, could be specific for the different enantiomers [35]; unfortunately this was shown to be unlikely. However, some of the MetQ homologs in other species may show specificity.

Except for NlpA, none of the other MetNIQ homologs occur in E. coli, even though it is known to have a second methionine-specific transporter [36]. The high-affinity transporter, which can transport both D- and L-methionine, was called metD and was subsequently identified as metNIQ. The low-affinity transporter, which is specific to L-methionine, was called metP and is still unknown, although it was shown to not be mmuP, the S-methylmethionine permease [3, 35]. Among the E. coli genes with metboxes, the only uncharacterized transporter is yjhF which is similar to gluconate transporters, but was shown not to be able to transport gluconate [37].

All the genes described above are likely members of the MetJ regulon. In addition, there are three other potential members that have functions related to methionine metabolism, but which we consider to be unlikely. The operon mtcBC encodes the genes involved in reverse transsulfuration -- the conversion of methionine to cysteine. MtcB is a cystathionine beta-synthase and is related to the cysteine synthases CysK and CysM. MtcC is a member of the transsulfuration family of enzymes, related to MetB, MetC and MetY. In our species of interest, these two genes only occur in 20 Ent and 2 Alt where they always occur together. Another potential member of the regulon is MegL. This is another transsulfuration family protein and is similar to methionine-gamma-lyase which is involved in methionine degradation [38, 39]. There are several MegL-like genes, but only one group has metboxes. This group always clusters with an oxygenase similar to isopenicillin N synthase (PcbC, COG349).

For all these genes the number of homologs with metboxes is small. In the case of MegL only a few closely related Shewanella species have them. In addition to the paucity of metboxes, if the functional prediction is correct then it seems unlikely that they would be repressed by MetJ. They act to reduce methionine concentrations, so during times of MetJ activation (high methionine), these proteins should also be activated to allow for recyling of the sulfur group. Nevertheless, in Klebsiella mtcBC seem to be upregulated by MetJ, although the mechanism is not clear [14]. We include them as potential members of the regulon until they can be tested for actual regulation.


The various regulons

The genes in the MetJ regulon in E. coli make up the core of the regulon that is consistently repressed in other gammaproteobacteria species. This includes all the genes involved in methionine biosynthesis and transport, although not every gene is regulated in every species. In addition, comparative genomics methods have identified other genes, such as the methionine salvage pathway, which does not occur in E. coli, but which is consistently regulated in all the species where it is found. With only a few exceptions, the methionine utilization genes that form the MetJ regulon in gammaproteobacteria are the same as those in Gram-positive bacteria, despite major differences in regulatory mechanisms [26].

Novel members of the regulon that we were able to verify experimentally are btuB (vitamin B12 transporter), metX (homoserine O-acetyltransferase), metY (possible O-acetylhomoserine sulfhydrylase), metH (B12-dependent methionine synthase), metE2a (possible methionine synthase), mtnKADCB (methionine salvage pathway enzymes), and the transporters mtrACB, metT and nhaP. We also identified some potential members that we were not able to test at this time: metF2 (possible 5,10-methylenetetrahydrofolate reductase), MHT1 and MHT2 (possible methionine synthases), mtcBC (reverse transsulfuration enzymes), megL (possible methionine gamma-lyase) and mtsABC (metal transporter). These novel genes highlight one of the major advantages of genomics-based methods since most of these genes do not exist in E. coli, and the others, like btuB and metH, are not regulated by MetJ.

There are some genes that appear never to have metboxes in the species we studied. These include asd, glyA and folE which are peripheral genes in the methionine biosynthetic pathway; mtnN, luxS and ahcY which are involved in recycling S-adenosylhomocysteine back to homocysteine; metG, fmt, def and map which generate methionyl-tRNA, formylate it, deformylate it and remove initial methionine from translated proteins; and the genes involved in cysteine metabolism. We note that folE was previously identified as a possible target for MetJ based on microarray data [6]. We could not identify metboxes for any of the folE homologs in the five orders and a gel-shift assay performed with E. coli folE showed no binding under our conditions (Figure S1). However, in the ONPG assay folE had weak repression so it may be indirectly regulated.

The various organisms

The spectrum of regulated genes is undoubtedly related to the particular environments these organisms live in, as sulfur, and thus methionine, concentrations can vary a great deal [19]. One observation we can make from this study is that organisms which have developed an endosymbiotic (e.g. Buchnera aphidicola and Sodalis glossinidius) or obligate pathogenic (e.g. Haemophilus ducreyi and Yersinia pestis) lifestyle tend to lose regulon genes, as well as MetJ itself and the metbox sites. There are a variety of patterns of loss that likely reflect the degree of symbiosis as well as the time-scale involved. For instance the Ent symbiotes which lack MetJ have also lost all their metboxes and most regulon genes, while Yersinia pestis has a largely intact regulon with loss of only a few genes and no change in metbox distribution.

For free-living organisms there is likely to be a synergistic effect from the environmental niche in which the bacteria find themselves. For instance many Enterobacteria have a methionine salvage pathway which can utilize MTR as a sulfur source. In addition to endogenous production of MTR, these species likely can transport it from organisms like E. coli which excrete it into the common milieu. Likewise, S-methylmethionine is commonly produced by plants, and organisms with the mmuPM genes, like the plant pathogen Pectobacterium, can utilize this as a substrate for methionine synthesis.

The various pathways

There are a variety of biosynthetic pathways on display in Figure 1, but there is clearly an ancestral pattern for methionine biosynthesis via MetA, MetB, MetC and the synthases MetE and MetH. Some organisms have replaced these with alternate pathways, such as MetX and MetB2 in Pas, or have acquired additional genes that may function in parallel, such as the many transsulfuration enzymes with unknown specificities. In particular, the spectrum of present, absent, regulated, and unregulated genes in Table S2 provides a rich resource for identifying non-canonical pathways or filling gaps in known ones. Alternate routes for methionine production may include reliance on transport of precursors, such as MTR and S-methylmethionine as well as homocysteine, or recycling pathways, such as methionine salvage which regenerates methionine molecules that derive their backbone from ribose rather than aspartate. For each species, a delineation of the full pathway would be necessary to understand the place of methionine biosynthesis within the metabolism of the whole organism. Such system-wide information is useful in metabolic engineering for production of organic molecules [40], as well as in the development of drugs for prokaryotic-specific proteins such as those of the methionine salvage pathway [41] and the cobalamin-independent methionine synthase MetE [42].


This study is designed to use data from bacterial genome sequencing projects to gain a more complete understanding of the regulon controlled by MetJ in all the organisms in which it is found. We have identified over 2000 binding sites for ~35 genes and operons from 206 gammaproteobacteria species. Among these are genes expected from the E. coli MetJ regulon, as well as some new ones. For some of these genes we were also able to verify their regulation by MetJ experimentally.


Bioinformatics analysis

The genomes (and plasmids) for all sequenced species within the five orders containing MetJ homologs (Enterobacteriales, Pasteurellales, Vibrionales, Aeromonadales and Alteromonadales) were accessed from the Genome Information Broker [43, 44] website in January, 2011. This was a total of 206 species. Orthologous genes were identified using BLAST searches [45], as well as consideration of the genomic environment. In most cases this identification was straight-forward since we were only interested in a subset of the gammaproteobacteria. However in some cases, particularly metR (part of the LysR family) and btuB (part of the TonB family), it was not always possible to confidently identify orthologs. For determining entire gene families (e.g. metE and metH in Figure 7), an e-value of e-25 was used as the threshold. Gene alignments were made using ClustalW within MEGA5 [46]. Trees were made in MEGA5 using Neighbor-Joining with 500 bootstrap replicates. Data for the phylogenetic tree of gammaproteobacteria in Figure 2 was downloaded from the Orthologous Matrix Project [7, 47] and manipulated in MEGA5.

Metbox identification

An initial information weight matrix [48] was made using known metboxes for genes of the E. coli MetJ regulon (metA, metJ/BL, metC, metE/R, metF, metK, metNIQ, and mmuPM). The matrix is based on the information content of each base in each position of the metbox using the equation:

R iw base , position = μ + lo g 2  frequency base , position

Since the binding site is palindromic the data was symmetrized for each half-metbox.

This matrix was used to do a preliminary scan for metboxes in the 400-bp upstream of genes homologous to the E. coli MetJ regulon since those were likely to be real hits. One representative species from each genus was queried to reduce bias. To determine potential metboxes, a bit score was calculated for each 8-bp sequence by summing the values for the actual base at each position using the values in the matrix. Although each MetJ homodimer binds to a single 8-bp sequence, functional repression requires two or more adjacent sites [49]. A single metbox was required to have a bit-score greater than or equal to 1/4 the value of the consensus sequence, while the total site was required to have a bit-score greater than or equal to the value of the consensus sequence. These thresholds are arbitrary but were empirically found to be good at identifying known metboxes while reducing the number of false positives. The searches were performed using custom perl scripts. The 832 half-metboxes identified this way were used to create the final matrix (Table 3). This was then used to look for metboxes in the operators of all annotated genes in all species. The searches were not restricted to intergenic regions because of the possibility of incorrect automated annotation of genes. In practice, most of the high-confidence sites were located in intergenic regions, typically within ~75 bp of the start of translation. For determining whether particular metbox sequences are conserved or not, the metboxes were aligned and the percent of identical bases was determined relative to a reference species. The DNA compared include the metboxes as well as 8 basepairs on both sides since the flanking DNA is expected to vary more than the MetJ binding sites.

Table 3 Information weight matrix used to search for metboxes

lacZ reporter and ONPG assay

A reporter plasmid was made from pBR322 [50] by: removing the ampicillin resistance gene; making a silent mutation in the tetracycline resistance gene to remove an NheI site; and adding NsiI and KpnI sites by primer-amplification of the plasmid. The full-length E. coli lacZ gene sequence was amplified from strain W3110 with flanking NheI and KpnI sites, then cloned into the modified pBR322. This construct is referred to as pBZT. Operator sequences were cloned between the NheI and NsiI sites.

The candidate operators were cloned from one of eight bacteria: Escherichia coli W3110 and Haemophilus influenzae Rd KW20 (both courtesy C. Raetz, Duke University), Klebsiella pneumoniae and Yersinia pestis KIM (both courtesy S. Abraham, Duke University), Yersinia pseudotuberculosis YPIII and Yersinia enterocolitica 8081 (both courtesy V. Miller, University of North Carolina at Chapel Hill), Vibrio cholerae N16961 (courtesy M. Kuehn, Duke University) and Shewanella oneidensis MR-1 (courtesy J. Frederickson, Pacific Northwest National Laboratory).

When necessary, genomic DNA was prepared by centrifuging an overnight culture of bacteria (1.5 ml) and resuspending the cells in 500 μl buffer containing 100 mM Tris, pH 8 and 50 mM EDTA. SDS was added to 1% to lyse the cells. 250 μl of 7.5 M ammonium acetate was added, then 500 μl phenol-chloroform. After spinning the sample down, the top 500 μl was removed and 1 ml isopropanol was added to precipitate the DNA. The DNA was washed with 70% ethanol, air-dried, then resuspended in 50 μl TE (10 mM Tris, pH 8, 1 mM EDTA).

Operator sequences were amplified by PCR from the genomic DNA using PfuUltra II HotStart 2× (Stratagene) with primers that produced flanking NsiI and NheI sites. (For operators which contained these sites, PstI and SpeI, respectively, were used instead to produce compatible ends.) These operators were cut and gel-purified then inserted into pBZT. All insertions were verified by sequencing. In cases where the insertion differed from the published sequence, a second independent construct was prepared to verify the polymorphism. In no case were these changes in the proposed metboxes. We note that our Klebsiella strain does not match any of the published genomes, but is most similar to K. pneumoniae NTUH-K2044.

Reporter plasmids were transformed into E. coli strain MC4100 (Δ(argF-lac)169) [51, 52], which is missing the entire lac operon, and TK4100 (MC4100 metJ::camr), a metJ knock-out strain (courtesy R. Greene, Duke University). Expression from the operator was measured using a β-galactosidase assay [53]. In brief, overnight cultures of the transformed strains were diluted 1/100 into fresh LB and grown for 2 hours at 37°C to mid-log phase (OD typically between 0.3 and 0.6). Aliquots of the cells were diluted into assay buffer (50 mM phosphate, pH 7, 100 mM NaCl and 1 mM DTT) and permeabilized with 10% toluene for at least 15 minutes at room temperature. ONPG was added to a final concentration of 1 mg/ml and the samples were then incubated at 37°C until they turned yellow, at which point they were quenched with an equal volume of 100 mg/ml sodium carbonate. Samples were spun down 5 min at max speed in a microcentrifuge, and the absorbance at 420 nm was then measured. The spectrometer was blanked against a parallel reaction made with untransformed MC4100. Miller units were calculated using the following equation:

1 Miller unit = Abs42 0 ÷ vol μ l * time min * OD6 00

For each construct in each strain, at least two colonies were chosen, and triplicate samples were assayed for each colony. Results are represented as the ratio of the activity during repressed conditions (MC4100) to that during derepressed conditions (ΔmetJ), and shown with the standard deviation for the six measurements.

Gel shift assay

Operators were tested directly for MetJ binding using a gel-shift assay. For each plasmid, primers in the vector were used with MangoMix (Bioline) to amplify a 636-bp fragment incorporating the 400-bp operator. 50 μl PCR reactions were cleaned up using SureClean Plus (Bioline) and the precipitated DNA was resuspended to the same starting volume with TES Buffer (20 mM Tris, pH 8, 1 mM EDTA, 150 mM NaCl). 1 μl of the PCR mix (approximately 10 ng DNA) was used in a 30 μl reaction with 0 or 50 nM MetJ. Samples were run on a 7.5% TGE gel (25 mM Tris, 192 mM glycine, and 2 mM EDTA) containing 250 μM AdoMet, then stained with Vistra Green (GE Healthcare) and imaged with a Typhoon 9410 phosphorimager using a 520 BP 40 fluorescence filter.


  1. 1.

    Old IG, Phillips SE, Stockley PG, Saint Girons I: Regulation of methionine biosynthesis in the Enterobacteriaceae. Prog Biophys Mol Biol. 1991, 56 (3): 145-185. 10.1016/0079-6107(91)90012-H.

    CAS  PubMed  Article  Google Scholar 

  2. 2.

    Greene RC: Biosynthesis of methionine. Escherichia coli and Salmonella. Edited by: Neidhardt FC. 1996, Washington, DC: American Society for Microbiology Press, 542-560.

    Google Scholar 

  3. 3.

    Gal J, Szvetnik A, Schnell R, Kalman M: The metD D-methionine transporter locus of Escherichia coli is an ABC transporter gene cluster. J Bacteriol. 2002, 184 (17): 4930-4932. 10.1128/JB.184.17.4930-4932.2002.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  4. 4.

    Merlin C, Gardiner G, Durand S, Masters M: The Escherichia coli metD locus encodes an ABC transporter which includes Abc (MetN), YaeE (MetI), and YaeC (MetQ). J Bacteriol. 2002, 184 (19): 5513-5517. 10.1128/JB.184.19.5513-5517.2002.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  5. 5.

    Liu R, Blackwell TW, States DJ: Conformational model for binding site recognition by the E. coli MetJ transcription factor. Bioinformatics. 2001, 17 (7): 622-633. 10.1093/bioinformatics/17.7.622.

    CAS  PubMed  Article  Google Scholar 

  6. 6.

    Marincs F, Manfield IW, Stead JA, McDowall KJ, Stockley PG: Transcript analysis reveals an extended regulon and the importance of protein-protein co-operativity for the Escherichia coli methionine repressor. Biochem J. 2006, 396 (2): 227-234. 10.1042/BJ20060021.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  7. 7.

    Altenhoff AM, Schneider A, Gonnet GH, Dessimoz C: OMA 2011: orthology inference among 1000 complete genomes. Nucleic Acids Res. 2011, D289-294. 39 Database

  8. 8.

    Toft C, Andersson SG: Evolutionary microbial genomics: insights into bacterial host adaptation. Nat Rev Genet. 2010, 11 (7): 465-475.

    CAS  PubMed  Article  Google Scholar 

  9. 9.

    Cai XY, Maxon ME, Redfield B, Glass R, Brot N, Weissbach H: Methionine synthesis in Escherichia coli: effect of the MetR protein on metE and metH expression. Proc Natl Acad Sci USA. 1989, 86 (12): 4407-4411. 10.1073/pnas.86.12.4407.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  10. 10.

    Saint-Girons I, Duchange N, Cohen GN, Zakin MM: Structure and autoregulation of the metJ regulatory gene in Escherichia coli. J Biol Chem. 1984, 259 (22): 14282-14285.

    CAS  PubMed  Google Scholar 

  11. 11.

    Shoeman R, Coleman T, Redfield B, Greene RC, Smith AA, Saint-Girons I, Brot N, Weissbach H: Regulation of methionine synthesis in Escherichia coli: effect of metJ gene product and S-adenosylmethionine on the in vitro expression of the metB, metL and metJ genes. Biochem Biophys Res Commun. 1985, 133 (2): 731-739. 10.1016/0006-291X(85)90965-9.

    CAS  PubMed  Article  Google Scholar 

  12. 12.

    Gophna U, Bapteste E, Doolittle WF, Biran D, Ron EZ: Evolutionary plasticity of methionine biosynthesis. Gene. 2005, 355: 48-57.

    CAS  PubMed  Article  Google Scholar 

  13. 13.

    Hacham Y, Gophna U, Amir R: In vivo analysis of various substrates utilized by cystathionine gamma-synthase and O-acetylhomoserine sulfhydrylase in methionine biosynthesis. Mol Biol Evol. 2003, 20 (9): 1513-1520. 10.1093/molbev/msg169.

    CAS  PubMed  Article  Google Scholar 

  14. 14.

    Seiflein TA, Lawrence JG: Two transsulfurylation pathways in Klebsiella pneumoniae. J Bacteriol. 2006, 188 (16): 5762-5774. 10.1128/JB.00347-06.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  15. 15.

    Englesberg E: The irreversibility of methionine synthesis from cysteine in pasteurella pestis. J Bacteriol. 1952, 63 (5): 675-680.

    CAS  PubMed  PubMed Central  Google Scholar 

  16. 16.

    Urbanowski ML, Stauffer LT, Plamann LS, Stauffer GV: A new methionine locus, metR, that encodes a trans-acting protein required for activation of metE and metH in Escherichia coli and Salmonella typhimurium. J Bacteriol. 1987, 169 (4): 1391-1397.

    CAS  PubMed  PubMed Central  Google Scholar 

  17. 17.

    Hou S, Saw JH, Lee KS, Freitas TA, Belisle C, Kawarabayasi Y, Donachie SP, Pikina A, Galperin MY, Koonin EV, et al: Genome sequence of the deep-sea gamma-proteobacterium Idiomarina loihiensis reveals amino acid fermentation as a source of carbon and energy. Proc Natl Acad Sci USA. 2004, 101 (52): 18036-18041. 10.1073/pnas.0407638102.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  18. 18.

    Fontecave M, Atta M, Mulliez E: S-adenosylmethionine: nothing goes to waste. Trends Biochem Sci. 2004, 29 (5): 243-249. 10.1016/j.tibs.2004.03.007.

    CAS  PubMed  Article  Google Scholar 

  19. 19.

    Sekowska A, Kung HF, Danchin A: Sulfur metabolism in Escherichia coli and related bacteria: facts and fiction. J Mol Microbiol Biotechnol. 2000, 2 (2): 145-177.

    CAS  PubMed  Google Scholar 

  20. 20.

    Winkler WC, Nahvi A, Sudarsan N, Barrick JE, Breaker RR: An mRNA structure that controls gene expression by binding S-adenosylmethionine. Nat Struct Biol. 2003, 10 (9): 701-707. 10.1038/nsb967.

    CAS  PubMed  Article  Google Scholar 

  21. 21.

    McDaniel BA, Grundy FJ, Artsimovitch I, Henkin TM: Transcription termination control of the S box system: direct measurement of S-adenosylmethionine by the leader RNA. Proc Natl Acad Sci USA. 2003, 100 (6): 3083-3088. 10.1073/pnas.0630422100.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  22. 22.

    Sekowska A, Denervaud V, Ashida H, Michoud K, Haas D, Yokota A, Danchin A: Bacterial variations on the methionine salvage pathway. BMC Microbiol. 2004, 4: 9-10.1186/1471-2180-4-9.

    PubMed  PubMed Central  Article  Google Scholar 

  23. 23.

    Schroeder HR, Barnes CJ, Bohinski RC, Mallette MF: Biological production of 5-methylthioribose. Can J Microbiol. 1973, 19 (11): 1347-1354. 10.1139/m73-217.

    CAS  PubMed  Article  Google Scholar 

  24. 24.

    Heilbronn J, Wilson J, Berger BJ: Tyrosine aminotransferase catalyzes the final step of methionine recycling in Klebsiella pneumoniae. J Bacteriol. 1999, 181 (6): 1739-1747.

    CAS  PubMed  PubMed Central  Google Scholar 

  25. 25.

    Sekowska A, Danchin A: The methionine salvage pathway in Bacillus subtilis. BMC Microbiol. 2002, 2: 8-10.1186/1471-2180-2-8.

    PubMed  PubMed Central  Article  Google Scholar 

  26. 26.

    Rodionov DA, Vitreschak AG, Mironov AA, Gelfand MS: Comparative genomics of the methionine metabolism in Gram-positive bacteria: a variety of regulatory systems. Nucleic Acids Res. 2004, 32 (11): 3340-3353. 10.1093/nar/gkh659.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  27. 27.

    Bulyk ML, McGuire AM, Masuda N, Church GM: A motif co-occurrence approach for genome-wide prediction of transcription-factor-binding sites in Escherichia coli. Genome Res. 2004, 14 (2): 201-208. 10.1101/gr.1448004.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  28. 28.

    Nahvi A, Barrick JE, Breaker RR: Coenzyme B12 riboswitches are widespread genetic control elements in prokaryotes. Nucleic Acids Res. 2004, 32 (1): 143-150. 10.1093/nar/gkh167.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  29. 29.

    Nou X, Kadner RJ: Coupled changes in translation and transcription during cobalamin-dependent regulation of btuB expression in Escherichia coli. J Bacteriol. 1998, 180 (24): 6719-6728.

    CAS  PubMed  PubMed Central  Google Scholar 

  30. 30.

    Janulczyk R, Pallon J, Bjorck L: Identification and characterization of a Streptococcus pyogenes ABC transporter with multiple specificity for metal cations. Mol Microbiol. 1999, 34 (3): 596-606. 10.1046/j.1365-2958.1999.01626.x.

    CAS  PubMed  Article  Google Scholar 

  31. 31.

    Neuhierl B, Thanbichler M, Lottspeich F, Bock A: A family of S-methylmethionine-dependent thiol/selenol methyltransferases. Role in selenium tolerance and evolutionary relation. J Biol Chem. 1999, 274 (9): 5407-5414. 10.1074/jbc.274.9.5407.

    CAS  PubMed  Article  Google Scholar 

  32. 32.

    Thanbichler M, Neuhierl B, Bock A: S-methylmethionine metabolism in Escherichia coli. J Bacteriol. 1999, 181 (2): 662-665.

    CAS  PubMed  PubMed Central  Google Scholar 

  33. 33.

    Goulding CW, Postigo D, Matthews RG: Cobalamin-dependent methionine synthase is a modular protein with distinct regions for binding homocysteine, methyltetrahydrofolate, cobalamin, and adenosylmethionine. Biochemistry. 1997, 36 (26): 8082-8091. 10.1021/bi9705164.

    CAS  PubMed  Article  Google Scholar 

  34. 34.

    Gonzalez JC, Banerjee RV, Huang S, Sumner JS, Matthews RG: Comparison of cobalamin-independent and cobalamin-dependent methionine synthases from Escherichia coli: two solutions to the same chemical problem. Biochemistry. 1992, 31 (26): 6045-6056. 10.1021/bi00141a013.

    CAS  PubMed  Article  Google Scholar 

  35. 35.

    Zhang Z, Feige JN, Chang AB, Anderson IJ, Brodianski VM, Vitreschak AG, Gelfand MS, Saier MH: A transporter of Escherichia coli specific for L- and D-methionine is the prototype for a new family within the ABC superfamily. Arch Microbiol. 2003, 180 (2): 88-100. 10.1007/s00203-003-0561-4.

    CAS  PubMed  Article  Google Scholar 

  36. 36.

    Kadner RJ, Watson WJ: Methionine transport in Escherichia coli: physiological and genetic evidence for two uptake systems. J Bacteriol. 1974, 119 (2): 401-409.

    CAS  PubMed  PubMed Central  Google Scholar 

  37. 37.

    Peekhaus N, Tong S, Reizer J, Saier MH, Murray E, Conway T: Characterization of a novel transporter family that includes multiple Escherichia coli gluconate transporters and their homologues. FEMS Microbiol Lett. 1997, 147 (2): 233-238. 10.1111/j.1574-6968.1997.tb10247.x.

    CAS  PubMed  Article  Google Scholar 

  38. 38.

    Manukhov IV, Mamaeva DV, Rastorguev SM, Faleev NG, Morozova EA, Demidkina TV, Zavilgelsky GB: A gene encoding L-methionine gamma-lyase is present in Enterobacteriaceae family genomes: identification and characterization of Citrobacter freundii L-methionine gamma-lyase. J Bacteriol. 2005, 187 (11): 3889-3893. 10.1128/JB.187.11.3889-3893.2005.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  39. 39.

    Sato D, Nozaki T: Methionine gamma-lyase: the unique reaction mechanism, physiological roles, and therapeutic applications against infectious diseases and cancers. IUBMB Life. 2009, 61 (11): 1019-1028. 10.1002/iub.255.

    CAS  PubMed  Article  Google Scholar 

  40. 40.

    Wendisch VF, Bott M, Eikmanns BJ: Metabolic engineering of Escherichia coli and Corynebacterium glutamicum for biotechnological production of organic acids and amino acids. Curr Opin Microbiol. 2006, 9 (3): 268-274. 10.1016/j.mib.2006.03.001.

    CAS  PubMed  Article  Google Scholar 

  41. 41.

    Riscoe MK, Ferro AJ, Fitchen JH: Methionine recycling as a target for antiprotozoal drug development. Parasitol Today. 1989, 5 (10): 330-333. 10.1016/0169-4758(89)90128-2.

    CAS  PubMed  Article  Google Scholar 

  42. 42.

    Tower PA, Johnson LL, Ferro AJ, Fitchen JH, Riscoe MK: Synergistic activity of 5-trifluoromethylthioribose and inhibitors of methionine synthesis against Klebsiella pneumoniae. Antimicrob Agents Chemother. 1991, 35 (8): 1557-1561.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  43. 43.

    Fumoto M, Miyazaki S, Sugawara H: Genome Information Broker (GIB): data retrieval and comparative analysis system for completed microbial genomes and more. Nucleic Acids Research. 2002, 30 (1): 66-68. 10.1093/nar/30.1.66.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  44. 44.

    Genome Information Broker for Microbial Genomes. []

  45. 45.

    Camacho C, Coulouris G, Avagyan V, Ma N, Papadopoulos J, Bealer K, Madden TL: BLAST+: architecture and applications. BMC Bioinformatics. 2009, 10: 421-10.1186/1471-2105-10-421.

    PubMed  PubMed Central  Article  Google Scholar 

  46. 46.

    Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S: MEGA5: Molecular Evolutionary Genetics Analysis Using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods. Mol Biol Evol. 2011, 28 (10): 2731-2739. 10.1093/molbev/msr121.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  47. 47.

    The Orthologous Matrix Project. []

  48. 48.

    Schneider TD: Information content of individual genetic sequences. J Theor Biol. 1997, 189 (4): 427-441. 10.1006/jtbi.1997.0540.

    CAS  PubMed  Article  Google Scholar 

  49. 49.

    Belfaiza J, Parsot C, Martel A, de la Tour CB, Margarita D, Cohen GN, Saint-Girons I: Evolution in biosynthetic pathways: two enzymes catalyzing consecutive steps in methionine biosynthesis originate from a common ancestor and possess a similar regulatory region. Proc Natl Acad Sci USA. 1986, 83 (4): 867-871. 10.1073/pnas.83.4.867.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  50. 50.

    Balbas P, Soberon X, Merino E, Zurita M, Lomeli H, Valle F, Flores N, Bolivar F: Plasmid vector pBR322 and its special-purpose derivatives--a review. Gene. 1986, 50 (1-3): 3-40. 10.1016/0378-1119(86)90307-0.

    CAS  PubMed  Article  Google Scholar 

  51. 51.

    Casadaban MJ: Transposition and fusion of the lac genes to selected promoters in Escherichia coli using bacteriophage lambda and Mu. J Mol Biol. 1976, 104 (3): 541-555. 10.1016/0022-2836(76)90119-4.

    CAS  PubMed  Article  Google Scholar 

  52. 52.

    Peters JE, Thate TE, Craig NL: Definition of the Escherichia coli MC4100 genome by use of a DNA array. J Bacteriol. 2003, 185 (6): 2017-2021. 10.1128/JB.185.6.2017-2021.2003.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  53. 53.

    Miller JH: Experiments in Molecular Genetics. 1972, Cold Spring Harbor, NY: Cold Spring Harbor Laboratory Press

    Google Scholar 

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We thank Drs. S. Abraham, J. Frederickson, R. Greene, M. Kuehn, V. Miller, and C. Raetz for generously providing bacterial strains or genomic DNA. Financial support for this work was in part from NIH Grant RR-022854 and Duke University.

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Correspondence to Leonard D Spicer.

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Authors' contributions

AMA conceived of the study, did the bioinformatics and biochemical analysis and drafted the manuscript. LDS assisted in study coordination, periodically reviewed results and helped draft the manuscript. All authors read and approved the final manuscript.

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Additional file 1: Table_S1_List_of_candidate_metboxes. Spreadsheet of all likely metboxes found in this study. (XLS 318 KB)


Additional file 2: Table_S2_List_of_loci_for_MetJ_regulon_genes. Spreadsheet of all genes that form the MetJ regulon in all species, whether or not they have metboxes. (XLS 404 KB)


Additional file 3: Figure_S1_Gel_shift. Gel shift assay showing MetJ binding to operator DNA. Each lane is ~10 ng DNA with or without 50 nM MetJ in the presence of 250 μM AdoMet. Genes are indicated by locus number and those which share an operator are linked by a brace. The molecular weight marker is GeneRuler 1 kb Plus DNA Ladder (Fermentas). (PDF 303 KB)


Additional file 4: . Tree of transsulfuration enzymes. Genes have been collapsed by genus and are indicated by the species abbreviation of one representative member of the genus. The number in parentheses afterwards indicates the number of species which were excluded. Species color-coding is as described in Figure 2. Genes with metboxes are in bold and marked with an asterisk. (PDF 74 KB)

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Augustus, A.M., Spicer, L.D. The MetJ regulon in gammaproteobacteria determined by comparative genomics methods. BMC Genomics 12, 558 (2011).

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  • Methionine
  • Homocysteine
  • metE
  • Regulon
  • Homoserine