- Research article
- Open Access
Unraveling the evolutionary history of the phosphoryl-transfer chain of the phosphoenolpyruvate:phosphotransferase system through phylogenetic analyses and genome context
BMC Evolutionary Biology volume 8, Article number: 147 (2008)
The phosphoenolpyruvate phosphotransferase system (PTS) plays a major role in sugar transport and in the regulation of essential physiological processes in many bacteria. The PTS couples solute transport to its phosphorylation at the expense of phosphoenolpyruvate (PEP) and it consists of general cytoplasmic phosphoryl transfer proteins and specific enzyme II complexes which catalyze the uptake and phosphorylation of solutes. Previous studies have suggested that the evolution of the constituents of the enzyme II complexes has been driven largely by horizontal gene transfer whereas vertical inheritance has been prevalent in the general phosphoryl transfer proteins in some bacterial groups. The aim of this work is to test this hypothesis by studying the evolution of the phosphoryl transfer proteins of the PTS.
We have analyzed the evolutionary history of the PTS phosphoryl transfer chain (PTS-ptc) components in 222 complete genomes by combining phylogenetic methods and analysis of genomic context. Phylogenetic analyses alone were not conclusive for the deepest nodes but when complemented with analyses of genomic context and functional information, the main evolutionary trends of this system could be depicted.
The PTS-ptc evolved in bacteria after the divergence of early lineages such as Aquificales, Thermotogales and Thermus/Deinococcus. The subsequent evolutionary history of the PTS-ptc varied in different bacterial lineages: vertical inheritance and lineage-specific gene losses mainly explain the current situation in Actinobacteria and Firmicutes whereas horizontal gene transfer (HGT) also played a major role in Proteobacteria. Most remarkably, we have identified a HGT event from Firmicutes or Fusobacteria to the last common ancestor of the Enterobacteriaceae, Pasteurellaceae, Shewanellaceae and Vibrionaceae. This transfer led to extensive changes in the metabolic and regulatory networks of these bacteria including the development of a novel carbon catabolite repression system. Hence, this example illustrates that HGT can drive major physiological modifications in bacteria.
The phosphoenolpyruvate:carbohydrate phosphotransferase system (PTS) was originally described as a sugar phosphorylation system  and it represents hitherto the only example of group-translocating transport systems . The PTS couples solute transport to its phosphorylation at the expense of phosphoenolpyruvate (PEP) and it also plays a central role in the regulation of a number of cell processes in some bacteria [3–6]. This system consists of general cytoplasmic energy-coupling proteins, enzyme I (EI) and HPr, and specific enzyme II complexes, which catalyze the uptake and phosphorylation of solutes [3, 7]. In turn, enzyme II complexes consist of three functional subunits, IIA, IIB and IIC, although those belonging to the mannose family contain an additional subunit, IID. These complexes have been divided into seven classes on the basis of their amino acid sequence and structural properties [3, 7–9].
The PTS thus constitutes a phosphoryl-transfer chain that starts at EI (Fig. 1), which can be phosphorylated by PEP at a histidine residue in the presence of Mg2+. Phospho-EI transfers the phosphoryl group to HPr, which becomes phosphorylated at a conserved histidine-15 residue . P~His-HPr functions as a phosphoryl donor to the different enzyme II complexes. In Firmicutes, HPr can undergo a second ATP-dependent phosphorylation at a serine-46 residue, catalyzed by a metabolically activated HPr kinase (HPrK; see Fig. 1) [11, 12]. This ATP-dependent phosphorylation plays a major role in carbon catabolite repression (CCR) in these bacteria . HPrK monomers are constituted by two structural domains: the carboxyl terminal domain displays the kinase and phosphorylase activities and responds to all known effectors similarly as the entire enzyme  whereas the function of the N-terminal domain is unknown .
The PTS has been thoroughly studied in some Enterobacteriaceae and Firmicutes. These studies have shown that PTS proteins participate in many other physiological processes such as chemotaxis, regulation of carbon metabolism, coordination of carbon and nitrogen metabolism, and others [3, 6, 7]. In some bacteria, especially in Proteobacteria, a number of paralogs of the general cytoplasmic, energy-coupling EI and HPr proteins are present. Some of these paralogs are apparently specialized in a regulatory role. For example, in Escherichia coli paralogs of EI (EINtr), HPr (NPr) and a fructose-class IIA protein (IIANtr) constitute a parallel PTS-ptc that apparently functions only in regulation . Furthermore, some PTS proteins interact with other non-PTS proteins modulating their activity . For example, IIAGlu mediates CCR in enterobacteria by interacting with adenylate cyclase together with an additional non-characterized regulatory factor . In Firmicutes, P-Ser-HPr acts as a co-regulator of a LacI/GalR type protein named CcpA [18, 19], enabling its binding to the cre sites preceding catabolite-controlled transcription units .
The distribution and evolutionary origin of PTS components have been analyzed in a number of studies [7, 21–26] which have suggested that PTS is exclusively found in bacteria. However, a gene cluster which encodes a complete PTS is present in the archaeon Haloarcula marismortui, harbored in the plasmid pNG700 . Moreover, the distribution of PTS among different bacteria is very uneven  and shows significant differences between the components of the phosphorylation cascade and PTS transporters: some bacteria possess complete PTS-ptc although they lack PTS transporters [7, 23]. These data suggest that the genes responsible for the PTS-ptc and the transporters have different evolutionary histories. Furthermore, previous analyses of the constituents of the PTS-ptc indicated that the evolution of these proteins would be best explained by vertical inheritance in some bacterial groups  whereas a study of the mannose-class PTS transporters indicated that the evolution of these transporters has been driven primarily by horizontal gene transfer (HGT) . This difference, along with the central role in the regulation of gene expression in some bacterial groups played by PTS-ptc prompted us to study in detail the evolution of PTS elements involved in the phosphorylation cascade (EI, HPr and HPrK).
Results and discussion
Genetic organization and distribution of ptsgenes
A total of 222 microbial genomes were screened for genes encoding EI (ptsI), HPr (ptsH) or HPrK (ptsK). This data set included 19 Archaea and 153 Bacteria species (Table S1, Additional file 1). Eukaryotic genomes were also investigated with negative results, thus confirming the absence of homologs of PTS proteins. The combination of TBLAST and PSI-BLAST searches allowed us to identify all genes and possible pseudogenes encoding the main components of the PTS-ptc. EI and HPr were found either as single polypeptides or as fusion proteins (multiphosphoryl transfer proteins, MTPs), usually together with a IIA domain (Table S2, Additional file 1), whereas HPrK was present as a single polypeptide with the exception of Fusobacterium nucleatum, which encodes a fusion protein constituted by two HPrK domains in tandem. In contrast to ptsK, which is present in a single copy with the exception of Oceanobacillus iheyensis, a varying number of paralogs of ptsH and ptsI could be found in some species, mostly Proteobacteria (Table S2, Additional file 1). For example, E. coli K12 harbors five EI-encoding and six HPr-encoding paralogs, either as single polypeptides or as domains of MTPs (Supplementary Table 2).
The distribution of PTS genes has been reviewed recently  and we will only consider it briefly here. The components of PTS-ptc (encoded by ptsH and ptsI) were found in most groups of bacteria included in the data set (Table S1, Additional file 1). Relevant exceptions were early differentiated bacterial groups such as Aquificales, Thermotogales and the Thermus/Deinococcus group. The presence of a PTS cluster in Deinococcus radiodurans is not a primitive trait and will be dealt with below. Furthermore, the PTS is absent from Cyanobacteria and Bacteroidetes. In the remaining groups, the PTS-ptc is incomplete or absent in a few species, mostly obligate intracellular parasites or bacteria with highly specialized lifestyles such as the methanotroph Methylococcus capsulatus (γ-Proteobacteria), the sulphate-reducing Desulfotalea psychrophila (δ-Proteobacteria), and the bacterial predator Bdellovibrio bacteriovorus (δ-Proteobacteria). The absence of these genes in these species from groups where PTS genes are common can be explained by gene losses associated to their specialized lifestyles. This hypothesis agrees with the phylogenetic reconstructions as discussed below.
Our results also showed a strong correlation in the pattern of presence/absence of EI and HPr: only a few species such as Bartonella and Ureaplasma urealyticum harbored ptsH genes while lacking ptsI (Table S2, Additional file 1). This correlation was not observed for HPrK, whose distribution is more limited: genes encoding HPrK are absent from Actinobacteria and most species of γ-Proteobacteria.
The inspection of genome sequences revealed that PTS proteins are absent from Archaea with the exception of Haloarcula marismortui, which harbors a gene cluster encoding EI, HPr and the IIA, IIB and IIC constituents of a fructose-class PTS transporter in the plasmid pNG700 . To our knowledge, this is the only case of a PTS transporter in Archaea.
Phylogenetic information content of the data sets
EI, HPr and HPrK constituted quite heterogeneous data sets: the EI alignment consisted of 201 sequences and 399 conserved positions after its refinement with Gblocks. Two hundred and four putative homologs of HPr were found in the 222 genomes analyzed. Due to its short length, the initial multiple alignment of HPr was improved only by manual refinement, resulting in a 93-positions alignment. The HPrK alignment had only 77 sequences and 337 positions after manual refinement.
The phylogenetic information content of the sequences was evaluated using two different approaches. Firstly, we carried out a likelihood mapping analysis (Fig. S1, Additional file 2). Briefly, this analysis enables to estimate the suitability for phylogenetic reconstruction of a data set from the proportion of unresolved quartets in a maximum likelihood analysis. As expected from the low number of positions in its alignment, HPr was the protein with the lowest phylogenetic content (only 59.4% fully resolved quartets). In contrast, both EI and HPrK had higher phylogenetic information contents, with 88.4% and 86.8% fully resolved quartets, respectively. Secondly, split networks were obtained using the Neighbor-net algorithm implemented in Splitstree. The resulting network contained not only the maximum-likelihood topology but also additional splits not reflected in the phylogenetic tree.
The networks derived from the three proteins (data not shown; available upon request) showed considerable conflicting signal, particularly in the HPr network. In contrast, the HPrK network showed a clearer tree-like structure with better defined deep relationships, which will be discussed later along with the corresponding phylogenetic tree. Finally, the EI network presented a mixed picture. On the one hand, several proteins presented no clear relationships to any of the main groups. On the other hand, network analyses limited to specific groups revealed that conflicting signals concentrated in the most internal nodes. As a whole, the three genes presented unresolved deep phylogenetic relationships along with a number of well defined groupings and lastly, a few taxa with no clear phylogenetic relationships.
For the three alignments, the best evolutionary model under the AIC criterion was rtREV , a model originally developed from the analysis of retroviral sequences but which has been shown to be one of the most commonly retrieved models for bacterial sequence alignments . The large phylogenetic distances encompassed in the three alignments resulted in the absence of a significant fraction of invariant sites, and in consequence only the gamma distribution was used to take heterogeneities in evolutionary rates among sites into account. Although maximum likelihood and Bayesian topologies were generally coincident there were also some remarkable differences in support values for nodes. For instance, some groups were clearly better resolved in the Bayesian than in the maximum likelihood topology. This is exemplified in the EI topology (Fig. 2 and Fig. S2, Additional file 2) where larger groups like EINtr (bootstrap support, BS = 52%; Bayesian posterior probability, BPP = 1.00), T (BS = 38%, BPP = 1.00) and R (BS = 25%, BPP = 0.79) were statistically supported only by the Bayesian analyses.
The EI topology was characterized by the low support of its most internal nodes. Nevertheless, three large groups could be delineated. Although none of these groups had a bootstrap support value larger than 50% (Fig. 2 and Fig. S2, Additional file 2), the bayesian analysis, genomic context analyses and the function of some of the corresponding products justify their use as units for analysis in this work (see below). The first group (group Ntr; gene ptsP, EINtr) is monophyletic and it consisted of genes from α- and γ-Proteobacteria and Geobacter sulfurreducens (δ-Proteobacteria) encoding EI proteins with an N-terminal GAF domain. The second group (group R) encompassed ptsI genes (denoted EIR to distinguish them from other EI) present in organisms that lack PTS transporters or harbor additional EI-encoding paralogs (mostly MTPs) clustered with genes encoding PTS transporters. The third group (T) consisted mainly of ptsI genes from Firmicutes and γ-Proteobacteria (EIT). Finally, a number of smaller groups which encompassed mostly ptsI genes of Actinomycetes and genes encoding MTPs could be delineated (Fig. 2).
In agreement with its low phylogenetic information content, the HPr tree (Fig. 3 and Fig. S3, Additional file 2) had high support values only in some external nodes. For example, the HPr paralogs associated to fructose transport (FPr) form a well-supported monophyletic group (BS = 91%; BPP = 0.92) of sequences from Enterobacteriaceae, Pasteurellaceae and Vibrionaceae. Therefore, on its own, this phylogenetic reconstruction cannot be taken as a reliable reflection of the evolutionary history of these genes and it was not possible to analyze the concordance/congruence between the larger groups described above for the EI topology and their HPr counterparts. However, it is worth mentioning that there was a good agreement between the small, well-supported groups at the tips of the HPr tree and their corresponding EI counterparts. The analysis of their genomic context also supported the evolution of EI and HPr as a single unit, as we will detail below.
The phylogenetic analysis of HPrK proteins was complicated by the presence of truncated proteins in α-Proteobacteria and Coxiella burnetti. These proteins have preserved only the C-terminal domain of HPrK and introduced numerous gaps in the alignment. α-Proteobacteria sequences appeared as a long branch stemming from the base of the Mollicutes cluster (Fig. 4). β-Proteobacteria (including the HPrK sequence of C. burnetti, a γ-Proteobacteria) also constituted a distinct group, although their position did not reveal a clear relationship with α-Proteobacteria (Fig. 4). On the other hand, sequences from Firmicutes were arranged in three distinct monophyletic clusters corresponding to Bacilli, Clostridia and Mollicutes (Fig. 4), with the exception of a second ptsK homolog encoded by Oceanobacillus iheyensis (oiehyk2, Fig. 4). The last group was constituted by a paraphyletic cluster which included Spirochetes, Candidatus Protochlamydia amoebophila, Chlorobium tepidum and G. sulfurreducens, a δ-Proteobacteria.
Genomic context and functional information
The phylogenetic analyses of the different constituents of the PTS-ptc were not sufficient, on their own, to explain the evolutionary history of this system. Therefore, we considered the genomic context and the functional information available in order to better interpret the previous phylogenetic results. The functional information available, the distribution of PTS transporters in different species and the genome context showed a noteworthy correspondence with the groups observed in the phylogenetic reconstruction of EI. Therefore, we will start by discussing the phylogenetic relationships derived from EI proteins in relation to the information available on their functional role and the genomic context of the corresponding genes while HPr and HPrK will be discussed subsequently in relation to these results.
The evolutionary history of the regulatory PTS-ptc: EINtr and EIRare functional analogs
Group R genes were found in Proteobacteria and the related taxa Chlamydiales, Chlorobia, Planctomycetes and the spirochaete Leptospira interrogans (Fig. 2). With the exception of some Proteobacteria, none of these organisms harbors PTS transporters . Although group R was not well supported in the phylogenetic analysis (EIR; Fig. 2, BS = 25%, BPP = 0.79), the similarity in their corresponding gene clusters (Fig. 5 and Fig. S4, Additional file 2) and the topological congruence between the EI phylogeny for group R and the 16S rRNA tree (p = 0.522 in the Shimodaira-Hasegawa test; Fig. S5A and S6, Additional file 2) suggest that the gene encoding EIR was present in the last common ancestor of Proteobacteria and, possibly, in that of Chlamydiales, Chlorobia, Planctomycetes and Proteobacteria.
Genes belonging to the Ntr group (ptsP genes) are found exclusively in Proteobacteria and they encode EINtr . The phylogenetic analysis showed good support (BS = 52%, BPP = 1.00) and congruence between the branching order of EINtr encoding genes and the expected organismal descent according to the 16S rRNA phylogenetic tree (p = 0.363 in the Shimodaira-Hasegawa test; Fig. S5B and S6, Additional file 2). These results suggest that this gene evolved at an early stage in the evolutionary history of Proteobacteria, possibly predating the differentiation of δ-Proteobacteria (the most basal group in this clade).
In Enterobacteriaceae, and possibly in other Proteobacteria as well, EINtr constitutes a phosphorylation chain together with the product of ptsO (encoding an HPr paralog referred to as NPr) and the product of ptsN (IIANtr). Interestingly, the phylogenetic analysis of HPr-encoding genes showed that NPr sequences of α- and γ-Proteobacteria cluster together with HPr sequences of β-Proteobacteria, δ-Proteobacteria and Xanthomonadales (Fig. 3 and Fig. S3, Additional file 2).
The inspection of the corresponding gene clusters also points to a close relationship between NPr- and HPr-encoding genes associated to EIR. In Xanthomonadales, ptsH and ptsI (encoding EIR) constitute an operon together with a gene encoding a IIAMan protein and next to the cluster of rpoN genes, which includes a ptsN homolog and ptsK. Similar gene clusters encompassing ptsN, ptsO and rpoN are also present in the other proteobacterial groups (Fig. 5 and Fig. S4, Additional file 2).
From the results of phylogenetic reconstruction and cluster composition analyses we hypothesize that a cluster encompassing rpoN, ptsK, ptsI, ptsO and ptsN genes, among others, was assembled at an early stage in the evolution of Proteobacteria (Fig. 5 and Fig. S4, Additional file 2). Subsequent gene rearrangements led to the clusters observed in extant species (Fig. 5 and Fig. S4, Additional file 2). These rearrangements included the loss of ptsI (EIR) in most α- and γ-Proteobacteria and the loss of ptsK and the gene encoding IIAMan in γ-Proteobacteria, with the exception of Xanthomonadales which conserved both genes and C. burnetti which only conserved a ptsK gene lacking the N-terminal domain.
Considering the observed current distribution of ptsI (EIR) and ptsP (EINtr) genes and the congruence of the topologies of both groups with the accepted branching order observed in the 16S rRNA tree (Fig. S6, Additional file 2) we hypothesize that ptsI (EIR) and ptsP were present in the last common ancestor of α-, β-, δ- and γ-Proteobacteria, a composition still found in G. sulfurreducens, and their current distribution is explained by vertical inheritance and lineage-specific gene losses. Along the evolution of the different proteobacterial lineages only one of these genes was preserved: ptsI (EIR) was lost in α-Proteobacteria, except in Gluconobacter oxidans (the ptsI genes present in Mesorhizobium loti and Bradyrhizobium japonicum are not orthologous and they will be discussed separately), and the same occurred in γ-Proteobacteria, with the exception of Xanthomonadales. However, in G. oxidans, β-Proteobacteria and Xanthomonadales, the lost gene was ptsP.
There is no functional information on the role of EIR although it has been proposed to participate, along with HPr and HPrK, in a phosphoryl transfer chain involved in the σ54 regulon . Our analysis agrees with this proposal and provides an explanation for the displacement of EIR by EINtr in some proteobacterial lineages. Indeed, there are evidences indicating that EINtr is involved in regulating the expression of genes belonging to the σ54 regulon both in α-Proteobacteria  and γ-Proteobacteria [16, 32].
In consequence, we hypothesize that EIR and EINtr are functional analogs that play a regulatory role. However, the presence of genes encoding a putative mannose-class PTS transporter in D. vulgaris (see Fig. 5 and Fig. S4, Additional file 2) hints at the possibility that EIR also plays a role in sugar transport . Furthermore, a phylogenetic reconstruction of IIAMan encoding genes shows that the sequence of D. vulgaris, which is part of the putative PTS transporter, clusters together with other IIAMan encoding genes from α- and β-Proteobacteria located in the rpoN gene cluster (data not shown). Therefore, these genes may have been present in the ancestral proteobacterial cluster and the genes encoding subunits IIB, IIC and IID were subsequently lost in most proteobacterial lineages.
The PTS-ptc of Actinobacteria
The phylogenetic analysis of ptsI genes from Actinobacteria shows that those genes from species belonging to the order Actinomycetales constitute a monophyletic group with strong support (Fig. 2). This clustering is not supported in the ptsH tree possibly due to its poor resolution (Fig. 3). As a difference, ptsI and ptsH of Bifidobacterium longum and Symbiobacterium thermophilum cluster separately from those of other Actinobacteria (Fig. 2 and 3). Since the observed topology of the ptsI tree is congruent with the expected order of organismal descent (Fig. S6, Additional file 2) and both genes are present in most actinobacterial species included in this study, it is likely that both genes were present in the last common ancestor of Actinomycetales and at least ptsI was inherited vertically.
However, the analysis of the genomic context shows different gene organizations and points towards possible duplications or HGT events among actinobacterial species which would have involved HPr (Fig. S7, Additional file 2). For example, Propionibacterium acnes harbors a ptsH gene (pacneh2) which clusters with homologs from Nocardia and Corynebacteria and it is located in a deoR-fruK-fruA-ptsH operon identical to those found in these species (Fig. 3 and Fig. S7, Additional file 2), whereas its paralog (pacneh1) clusters with its counterparts of Streptomyces and Leifsonia xyli. Another example is given by the fusion proteins encoded by L. xyli and Corynebacterium diphtheriae which consist of a IIAMan domain and a C-terminal HPr domain (sequences cdiphtamh and lxylamh) located in identical operons together with genes encoding dihydroxyacetone kinase (Fig. S7, Additional file 2). Nevertheless, these sequences appear very distantly related to each other and to similar proteins of Proteobacteria in the HPr tree (Fig. 3). In summary, these results suggest that HGT or lineage-specific duplications affecting ptsH have occurred in Actinobacteria but currently available data are insufficient to ascertain this point.
A PTS system in Archaea
H. marismortui harbors in plasmid pNG700 a gene cluster encoding a fructose-class PTS transporter, EI and HPr (Fig. 6). Nevertheless, neither the phylogenetic analyses of EI and HPr nor the structure of the cluster provided evidence for a clear relationship to any of their bacterial counterparts. In contrast to other fructose PTS gene clusters discussed below, EI and HPr do not constitute a MTP; likewise, the constituents of the transporter are not encoded by fusion genes, in contrast to that found in the other fructose clusters studied here (see Fig. 6 and Fig. S8, Additional file 2). The phylogenetic analysis placed H. marismortui EI as a basal branch of MTPs containing IIAMan domains (Fig. 2) whereas HPr clustered with actinobacterial sequences. Furthermore, the lengths of the branches of these genes in their corresponding trees are comparable to those of their bacterial counterparts and far shorter than it would be expected for archaeal genes (see for example, Fig. S6, Additional file 2). Therefore, although the phylogenetic analyses and the uniqueness of this operon in Archaea indicate that this operon is of bacterial origin, the currently available data do not allow a more precise identification of its source.
MTPs containing IIAFru or IIAGludomains
MTPs can be divided into three main groups: proteins containing N-terminal IIAFru or IIAGlu domains, proteins containing IIAMan N-terminal domains and proteins containing C-terminal IIAFru domains. MTPs containing one or two N-terminal IIAFru domains (encoded by fruB) are typically associated to fructose-class PTS transporters (encoded by fruA) and 1-phospho fructokinases (fruK; see Fig. 6 and Fig. S8, Additional file 2). The functional information available from E. coli , Rhodobacter capsulatus , Salmonella typhimurium  and Xanthomonas campestris [37, 38] indicates that all these transporters internalize fructose.
The prototypic FruB proteins (usually termed FPr) of Enterobacteriaceae and Vibrionaceae are composed of a IIAFru domain separated by an intervening domain from a C-terminal HPr domain (Fig. 6 and Fig. S8, Additional file 2). In Pasteurellaceae, these proteins have undergone some modifications: FPr proteins from Haemophilus influenzae and Mannheimia succiniproducens carry duplicated HPr domains which possibly resulted from a relatively recent duplication . In Pseudomonas, FruB proteins consist of two IIAFru domains arranged in tandem and fused to a central HPr domain and a C-terminal EI domain (Fig. 6 and Fig. S8, Additional file 2). This second IIAFru domain (IIAFru') is apparently absent in the closely related Acinetobacter sp. However, the alignment of enterobacterial FPr proteins together with those of Pasteurellaceae, Pseudomonas and Acinetobacter reveals that the intervening domain is in fact a heavily altered, remnant of the IIAFru' domain (Fig. S9, Additional file 2). Interestingly, the cognate FruA transporters also possess duplicated IIB domains even in those organisms whose phosphoryl transfer proteins carry only one functional IIAFru domain [37, 40]. At least in E. coli both IIB domains are required for full activity .
The phylogenetic reconstructions of the EI domains of these proteins along with the structure of the fru gene clusters strongly suggest that all FruB evolved from a common ancestor consisting of duplicated IIA domains fused to HPr and EI domains. This ancestral form is conserved in Pseudomonas. FruB genes harboured by Chromobacterium violaceum, D. radiodurans, Ralstonia solanacearum and Xanthomonas probably evolved from a common ancestor where the IIAFru' domain was removed. Finally, the EI domain was lost in Enterobacteriaceae, Pasteurellaceae and Vibrionaceae giving rise to FPr. Reasons for this proposal will be discussed in the section dedicated to group T. The phylogenetic relationships inferred from the sequences of FPr proteins are in agreement with the most accepted order of organismal descent represented by the 16S rRNA phylogeny (Fig. S6, Additional file 2). Therefore it is reasonable to assume that the fru operon was present in the last common ancestor of these families and FruB was modified to its current structure before the differentiation of these lineages.
Similarly, the phylogenetic position of proteins containing IIAGlu N-terminal domains suggests that they evolved from a FruB ancestor by substitution of the IIAFru domain by a IIAGlu domain. This hypothesis is based on their branching within the FruB group (Fig. 2 and Fig. S2, Additional file 2).
In summary, the phylogenetic analysis does not allow establishing a clear origin for MTPs containing N-terminal IIAFru or IIAGlu domains. The strong support for this cluster (BS = 97%; BPP = 1.00; see Fig. 2) indicates that they originated from a common ancestor and, since most MTPs are harbored by Proteobacteria, it seems reasonable to hypothesize that these genes evolved from a proteobacterial ancestor. However, the phylogenetic analyses do not provide evidence for a close relationship of either the EI or the HPr domains of MTPs containing N-terminal IIAFru or IIAGlu domains to any other EI or HPr paralogs present in Proteobacteria.
MTPs with a IIAFru C-terminal domain constitute a monophyletic group with strong support in both EI and HPr trees and with no clear phylogenetic relationship to other MTPs. Hence, they were possibly assembled independently of MTPs containing N-terminal IIA domains.
MTPs containing IIAMandomains
MTPs containing IIAMan domains are invariably associated to genes encoding dihydroxyacetone kinases (Fig. 7). This group also includes the YcgC proteins present in E. coli strains which lack the EI domain . The phylogenetic analysis of HPr domains showed strong support for this group (BS = 97%; BPP = 1.00; Fig. 3) and indicated that these proteins evolved from a common ancestor.
The phylogenetic reconstruction of ptsI sequences shows that a gene encoding a fusion protein consisting of an HPr N-terminal domain and an EI C-terminal domain from Mesorhizobium loti (sequences mlotih3 and mloti1, HPr and EI domains, respectively) clusters with this group. This gene is located in an operon together with a cluster of genes encoding a glucitol-class PTS transporter (Fig. 7). It is feasible that the MTP present in the glucitol-class PTS evolved from an ancestor containing a IIAMan domain which was subsequently lost. Interestingly, M. loti encodes a second EI (mloti2) which constitutes an operon with an HPr encoding gene (mlotih2) and genes encoding dihydroxyacetone kinase. An identical cluster is present in Bradyrhizobium japonicum (bjapo and bjapoh1; Fig. 7). None of the EI and HPr present in these clusters grouped with IIAMan MTPs. In order to determine whether these sequences had a significantly accelerated evolutionary rate in comparison to MTPs containing IIAMan domains, a Tajima's relative rate test was carried out by comparing sequences mloti1, mloti2 and bjapo with that of Vibrio parahaemolyticus (vparaamhe) using an E. coli MTP with a C-terminal IIAFru domain (ecolcheag) as an outgroup. The test revealed that none of these sequences were significantly accelerated (p = 0. 346, p = 0.448 and p = 0.206, for mloti1, mloti2 and bjapo, respectively). Therefore, the origin of the ptsH and ptsI genes present in the dihydroxyacetone kinase-encoding clusters of M. loti and B. japonicum cannot be further elucidated from the available data.
The evolution of group T: vertical inheritance in Firmicutes and transference to γ-Proteobacteria
The T group (EIT) includes all Firmicutes sequences, F. nucleatum, Borrelia and EI encoding genes from Enterobacteriaceae, Pasteurellaceae and Vibrionaceae. This group had low bootstrap support although it was strongly supported in the Bayesian analysis (BS = 38%, BPP = 1.00). The phylogenetic analysis of ptsI indicates that Firmicutes constitute a monophyletic group although with low support in some branches (Fig. S2, Additional file 2). The splits network (not shown, available upon request) also indicated conflicting signals in this group deriving from the difficulties in determining the phylogenetic relationships among Bacilli, Clostridia and Mollicutes. Despite the presence of incongruence, the monophyly of Firmicutes is also observed in the ptsH topology. Furthermore, the phylogenetic reconstruction of EIT of Firmicutes agrees with the expected order of organismal descent for this group (Fig. S6, Additional file 2). Taken together, these data suggest that ptsH and ptsI evolved as a single unit in Firmicutes, as reflected by the agreement of both topologies, and that vertical inheritance has been their primary mode of transmission.
In contrast, the ptsK sequences of Clostridiales and Bacillales cluster together in the phylogenetic whereas Mollicutes form a distinct cluster together with ptsK sequences of α-Proteobacteria (Fig. 4). Nevertheless, the inspection of ptsK gene clusters suggests a closer relationship between Mollicutes and other Firmicutes (Fig. 8 and Figs. S10 and S11, Additional file 2). In Bacillales and Lactobacillales, ptsK is always found with lgt, an arrangement also found in Mollicutes. Moreover, the common occurrence of ptsK together with uvrA and uvrB on one hand and trxB on the other observed in Bacillales is also found in many Mollicutes.
Group T genes are also present in a limited number of γ-Proteobacteria families. In addition, the analysis of HPr sequences provides evidence for a close relationship of Shewanella oneidensis ptsH to this group (Fig. S3, Additional file 2) although the corresponding EI sequence did not cluster within the T group (Fig. 2). On the other hand, S. oneidensis harbors a ptsHIcrr operon identical to those present in group T γ-Proteobacteria (Fig. 9 and Fig. S12, Additional file 2). In order to better understand the basis of this discrepancy a Tajima's relative rate test was carried out by comparing the sequence of S. oneidensis (soneid) with that of Vibrio cholerae (vcholer) using F. nucleatum (fnucleat) as an outgroup. The test revealed that this sequence (soneid) is significantly accelerated (p < 0.001) with respect to their enterobacterial counterparts, a phenomenon that usually results in unexpected, and incorrect, positions in phylogenetic reconstructions. Therefore, the ptsI gene of S. oneidensis possibly shares the same origin than other proteobacterial EIT encoding genes although it has diverged extremely. In summary, phylogenetic and gene content analyses suggest that HPr and EIT from Vibrionaceae, Pasteurellaceae, Enterobacteriaceae and Shewanella (hereafter called VPES group) evolved from a common ancestor.
Phylogenetic trees show that VPES sequences cluster together with Fusobacterium nucleatum and Borrelia sequences as their closest and basal relatives. This group forms a sister clade with Firmicutes in both EI and HPr trees (Figs. 2 and 3 and Figs. S2 and S3, Additional file 2) and the network analyses also provided evidence for a close relationship of these genes. The topology of the tree of EIT sequences of VPES as an ingroup was compatible with the order of organismal descent inferred from the 16S rRNA (p = 0.437 in the Shimodaira-Hasegawa test; Fig. S5C, Additional file 2). Discrepancies between the two trees were limited to the positions of some species within the same family.
The observed clustering of genes from such distant lineages can be explained either by an ancestral duplication of EI and HPr in their last common ancestor and subsequent loss in all intervening lineages or by a transfer from Firmicutes or Fusobacteria to the last common ancestor of VPES. We did not observe significant differences in nucleotide composition or codon usage in EIT sequences from VPES (results not shown) and, as far as we know, these genes have not been detected as horizontally transferred by other researchers [42, 43], thus favoring the hypothesis of an ancestral duplication. However, a HGT event is the most parsimonious explanation since it requires a single gain in the last common ancestor of the VPES group whereas the alternative scenario requires multiple, independent losses in other lineages. In this sense, it is worth noting that the group VPES coincides with the superorder lower γ-Proteobacteria proposed by Jensen and collaborators  further substantiating the idea that VPES constitute a monophyletic group within γ-Proteobacteria. The failure to detect ptsH or ptsI as horizontally transferred to VPES by parametric methods can be explained by amelioration [45, 46] since the putative HGT event would have occurred before the differentiation of the VPES lineages. In summary, the phylogenetic analyses and the observed distribution of EIT and HPr-encoding genes suggest that these genes were transferred to the last common ancestor of VPES from Fusobacteria or Firmicutes.
On the other hand, Borrelia species harbor identical ptsH-ptsI-ccr operons to the ones found in VPES (Fig. 9 and Fig. S12, Additional file 2). Furthermore, Borrelia possesses additional ptsH genes (sequences bburgdh2 and bgarinh2) which are very distantly related to their counterparts and are located in gene clusters together with rpoN (Fig. 9). The presence of this second ptsH gene in a gene cluster similar to that found in other Spirochaetales, the absence of the ptsH-ptsI-ccr operon in other spirochaetes and the phylogenetic positions of both ptsH and ptsI close to their VPES counterparts suggest that Borrelia acquired this operon via HGT from VPES.
The acquisition of the ptsH-ptsI operon by VPES possibly propelled a number of evolutionary novelties in this group. Members of VPES harbor the largest number of PTS transporters in their genomes among Proteobacteria . Phylogenetic analyses of some of these transporters have revealed extensive gene exchanges between VPES and Firmicutes . Furthermore, some MTPs are in a process of reduction in VPES. As indicated above, FPr and YcgC evolved from proteins which contained EI domains. We hypothesize that the acquisition of the ptsH and ptsI genes enabled the expansion of PTS transporters by HGT and/or duplication and differentiation, and it also made the EI domains of some MTPs dispensable as EIT took over their function. Most relevantly, EIT and HPr also participate in CCR in Firmicutes and VPES. Interestingly, CCR in VPES differs markedly from other closely related proteobacterial groups such as Pseudomonadales [47, 48]. Moreover, VPES encode a particular type of adenylate cyclase not related to other adenylate cyclases  and which is only found in a few species outside this group. Hence, we hypothesize that the transfer of EIT and its cognate HPr-encoding genes was a key event in the appearance of a novel CCR pathway, an evolutionary novelty only shared by the VPES group.
Our hypothesis does not contradict the complexity hypothesis which proposes that genes have different probabilities of being transferred depending on how many interacting partners their products have in the cell . The analysis of the metabolic network of E. coli has shown that the success of a HGT event depends on the pathway affected, so that laterally transferred genes that intervene in a peripheral pathway  or having physiologically interacting partners already present in the receptor genome  are more likely to be fixed. However, the complexity hypothesis does not preclude that a HGT-acquired peripheral pathway might evolve into a complex regulatory network. In our view, the EIT phosphoryl transfer chain would originally have a limited role in glucose transport in VPES. However, the great plasticity of the EIT-HPr phosphoryl transfer chain would facilitate the expansion of a regulatory network in an environment where PTS-ptc networks already existed. In this sense it is worth noting that EIT and HPr can phosphorylate NPr and IIANtr whereas EINtr and NPr cannot replace EIT .
Phylogenetic analyses were not sufficient to reliably disentangle the deepest relationships among the PTS-ptc genes present in extant organisms. Nevertheless, the complementation of phylogenetic analyses with functional information and analyses of the genomic context has allowed us to derive several conclusions.
Our results have provided evidence for an early origin of the PTS-ptc in Bacteria and have shown that, while in some lineages such as Firmicutes this system has undergone very few modifications, in other lineages, such as Proteobacteria, major changes have occurred including the displacement of EIR by EINtr in some lineages and the acquisition of a PTS-ptc from Fusobacteria or Firmicutes by an ancestor of VPES which drove a number of evolutionary novelties in these bacteria. We consider that this is an excellent example illustrating that horizontally transferred components of peripheral metabolic pathways can evolve into complex regulatory networks in the physiological core of bacteria.
We have analyzed 222 complete genomes from 172 different prokaryotic species (see Table S1, Additional file 1) retrieved from the NCBI repository (on October 2004). EI, HPr, and HprK encoding genes were retrieved from whole genomes by using PSI-BLAST and TBLASTN [53, 54]. The PSI-BLAST searches were performed against the GenBank database using the E. coli EI and HPr sequences (Acc. N° NP_416911 and NP_416910, respectively) and the Bacillus subtilis HPrK sequence (Acc. N° NP_391380) as query sequences with default settings. The searches were iterated until convergence was attained. From all the sequences retrieved, only those from whole genomes were selected, and these sequences were subsequently filtered attending to the presence of their characteristic domains (pfam02896, pfam05524, and pfam00391 for EI; pfam00381 for HPr and pfam07475 for HPrK) or a coverage of at least 75% of the query sequence. Subsequently, additional PSI-BLAST searches using the most distant selected sequences were performed in order to retrieve possible homologs not identified in the first search. Finally, TBLASTN searches were performed against the available complete genome sequences using the same query sequences as for the PSI-BLAST searches. The corresponding 16S rRNA sequences from each genome were also downloaded. Detailed information on the sequences used in these analyses, accession numbers, and domain structure is provided in Table S2, Additional file 1. In a few cases, possible frame-shifts in putative coding sequences were corrected (see Table S2, Additional file 1), and the translated products were used in this study. The data sets were refined by excluding redundant sequences.
Alignment and phylogenetic information analysis
Multiple alignments were obtained with ClustalW  and manually corrected where necessary. Positions of doubtful homology or introducing phylogenetic noise due to an excessive number of gaps were removed using Gblocks  with default settings for the EI alignment. However, due to the short length of HPr and HPrK sequences we decided to apply only a manual refinement to the corresponding alignments in order to keep a maximum number of positions for analysis. The final multiple alignments used for the analyses are available from the authors upon request.
The phylogenetic signal contained in the different data sets was assessed by likelihood mapping  using Tree-Puzzle 5.2  with the JTT model  of amino acid evolution and a discrete gamma distribution to account for heterogeneity in evolutionary rates among positions in the multiple alignments. In addition, a phylogenetic network of each protein was reconstructed using the JTT model to compute pairwise distances and the neighbor-net algorithm . Splitstree4  was used to represent the networks. This network analysis allows screening for possible non tree-like evolutionary events and the influence of phylogenetic noise .
Functional annotation of genes associated to PTS-ptc encoding gene clusters was verified by BLAST searches. In addition, functional domains were identified using CD-Search .
In order to obtain accurate phylogenies, the best fit models of amino acid substitution were selected using the program ProtTest . The Akaike Information Criterion (AIC), which allows for a comparison of likelihoods from non-nested models, was adopted to select the best model  that was rtREV  for the three protein sets. The selected model was implemented in PHYML  to obtain maximum likelihood trees for the different alignments. Bootstrap support values were obtained from 1000 pseudo replicates.
MrBayes 3.1.2  was used to obtain posterior probabilities of the nodes in the ML trees based on a Bayesian methodology. The program approximates the posterior probabilities of the phylogenetic trees using a Markov Chain Monte Carlo (MCMC) method. For the three alignments we used the same model used in PHYML in two replicates running four chains during a number of generations enough to ensure convergence of the sampled parameters. Convergence was verified using Tracer 1.4  and accepted when the effective sample size of all the parameters was larger than 100, the recommended minimum effective size . EI, HPr and HprK required 2.4 × 106, 2.8 × 106 and 1 × 106 generations, respectively. Once convergence was assessed, the two runs were combined to obtain an estimate of the posterior distribution of the different parameters and the tree topology, with the first 10% samples discarded as burn-in.
For selected groups we carried out a comparison between the gene tree phylogeny and the 16S rRNA topology as a reference tree for the corresponding species. Shimodaira-Hasegawa's test  implemented in the program TreePuzzle 5.2 was used to determine whether the likelihood of the data associated to the two test trees was significantly different at an alpha level of 0.05 (a value above the threshold indicating a non-significant difference). Phylogenetic trees of sequences encoding 16S rRNA were obtained using the tools implemented in the Ribosomal Database Project II  and compared to maximum likelihood phylogenetic trees of the corresponding EI sequences obtained as indicated above. Since the Tree Builder tool of the Ribosomal Database Project has a limit of fifty sequences, in order to obtain a phylogenetic tree encompassing all species encoding a PTS-ptc, sequences of genes encoding 16S rRNA were aligned using ClustalW and their phylogenetic relationships were inferred using the PHYML maximum likelihood algorithm under the GTR model of nucleotide substitution and proportion of invariant and rate heterogeneity categories estimated from the data set. Support for the nodes in the resulting topologies was assessed by analyzing 500 bootstrap pseudo replicates.
Preliminary analyses suggested that some sequences might have experienced an accelerated rate of evolution with respect to other sequences in the alignment. In order to explore this possibility, Tajima's relative rate tests  were carried out.
Akaike Information Criterion
Bayesian posterior probability
carbon catabolite repression
domain present in cGMP-specific and -stimulated phosphodiesterases, Anabaena adenylate cyclases and E. coli FhlA
General Time Reversible model of nucleotide substitution
Horizontal Gene Transfer
Heat-stable, histidine-phosphorylatable protein
fructose-class IIA protein
glucose-class IIA protein
mannose-class IIA protein
fructose-class IIA protein involved in nitrogen metabolism
Jones-Taylor-Thornton model of amino acid substitution
multiphosphoryl transfer proteins
phosphoenolpyruvate:carbohydrate phosphotransferase system
PTS phosphoryl transfer chain
Enterobacteriaceae, Pasteurellaceae, Shewanellaceae and Vibrionaceae.
Kundig W, Ghosh S, Roseman S: Phosphate bound to histidine in a protein as an intermediate in a novel phospho-transferase system. Proc Natl Acad Sci. 1964, 52: 1067-1074. 10.1073/pnas.52.4.1067.
Saier MH: Vectorial metabolism and the evolution of transport systems. J Bacteriol. 2000, 182: 5029-5035. 10.1128/JB.182.18.5029-5035.2000.
Postma PW, Lengeler JW, Jacobson GR: Phosphoenolpyruvate:carbohydrate phosphotransferase systems of bacteria. Microbiol Rev. 1993, 57: 543-594.
Titgemeyer F, Hillen W: Global control of sugar metabolism: a gram-positive solution. Antonie Van Leeuwenhoek. 2002, 82: 59-71. 10.1023/A:1020628909429.
Saier MH, Chauvaux S, Deutscher J, Reizer J, Ye JJ: Protein phosphorylation and regulation of carbon metabolism in gram-negative versus gram-positive bacteria. Trends Biochem Sci. 1995, 20: 267-271. 10.1016/S0968-0004(00)89041-6.
Deutscher J, Francke C, Postma PW: How phosphotransferase system-related protein phosphorylation regulates carbohydrate metabolism in bacteria. Microbiol Mol Biol Rev. 2006, 70: 939-1031. 10.1128/MMBR.00024-06.
Barabote RD, Saier MH: Comparative genomic analyses of the bacterial phosphotransferase system. Microbiol Mol Biol Rev. 2005, 69: 608-634. 10.1128/MMBR.69.4.608-634.2005.
Saier MH, Reizer J: Proposed uniform nomenclature for the proteins and protein domains of the bacterial phosphoenolpyruvate: sugar phosphotransferase system. J Bacteriol. 1992, 174: 1433-1438.
Siebold C, Flukiger K, Beutler R, Erni B: Carbohydrate transporters of the bacterial phosphoenolpyruvate: sugar phosphotransferase system (PTS). FEBS Lett. 2001, 504: 104-111. 10.1016/S0014-5793(01)02705-3.
Ginsburg A, Peterkofsky A: Enzyme I: the gateway to the bacterial phosphoenolpyruvate:sugar phosphotransferase system. Arch Biochem Biophys. 2002, 397: 273-278. 10.1006/abbi.2001.2603.
Kravanja M, Engelmann R, Dossonnet V, Bluggel M, Meyer HE, Frank R, Galinier A, Deutscher J, Schnell N, Hengstenberg W: The hprK gene of Enterococcus faecalis encodes a novel bifunctional enzyme: the HPr kinase/phosphatase. Mol Microbiol. 1999, 31: 59-66. 10.1046/j.1365-2958.1999.01146.x.
Deutscher J, Saier MH: ATP-dependent protein kinase-catalyzed phosphorylation of a seryl residue in HPr, a phosphate carrier protein of the phosphotransferase system in Streptococcus pyogenes. Proc Natl Acad Sci. 1983, 80: 6790-6794. 10.1073/pnas.80.22.6790.
Deutscher J, Reizer J, Fischer C, Galinier A, Saier MH, Steinmetz M: Loss of protein kinase-catalyzed phosphorylation of HPr, a phosphocarrier protein of the phosphotransferase system, by mutation of the ptsH gene confers catabolite repression resistance to several catabolic genes of Bacillus subtilis. J Bacteriol. 1994, 176: 3336-3344.
Fieulaine S, Morera S, Poncet S, Monedero V, Gueguen-Chaignon V, Galinier A, Janin J, Deutscher J, Nessler S: X-ray structure of HPr kinase: a bacterial protein kinase with a P-loop nucleotide-binding domain. EMBO J. 2001, 20: 3917-3927. 10.1093/emboj/20.15.3917.
Poncet S, Mijakovic I, Nessler S, Gueguen-Chaignon V, Chaptal V, Galinier A, Boel G, Maze A, Deutscher J: HPr kinase/phosphorylase, a Walker motif A-containing bifunctional sensor enzyme controlling catabolite repression in Gram-positive bacteria. Biochim Biophys Acta. 2004, 1697: 123-135.
Rabus R, Reizer J, Paulsen I, Saier MH: Enzyme I(Ntr) from Escherichia coli. A novel enzyme of the phosphoenolpyruvate-dependent phosphotransferase system exhibiting strict specificity for its phosphoryl acceptor, NPr. J Biol Chem. 1999, 274: 26185-26191. 10.1074/jbc.274.37.26185.
Park YH, Lee BR, Seok YJ, Peterkofsky A: In vitro reconstitution of catabolite repression in Escherichia coli. J Biol Chem. 2006, 281: 6448-6454. 10.1074/jbc.M512672200.
Henkin TM, Grundy FJ, Nicholson WL, Chambliss GH: Catabolite repression of alpha-amylase gene expression in Bacillus subtilis involves a trans-acting gene product homologous to the Escherichia colilacl and galR repressors. Mol Microbiol. 1991, 5: 575-584. 10.1111/j.1365-2958.1991.tb00728.x.
Deutscher J, Kuster E, Bergstedt U, Charrier V, Hillen W: Protein kinase-dependent HPr/Ccpa interaction links glycolytic activity to carbon catabolite repression in Gram-positive bacteria. Mol Microbiol. 1995, 15: 1049-1053. 10.1111/j.1365-2958.1995.tb02280.x.
Weickert MJ, Chambliss GH: Site-directed mutagenesis of a catabolite repression operator sequence in Bacillus subtilis. Proc Natl Acad Sci. 1990, 87: 6238-6242. 10.1073/pnas.87.16.6238.
Saier MH, Hvorup RN, Barabote RD: Evolution of the bacterial phosphotransferase system: from carriers and enzymes to group translocators. Biochem Soc Trans. 2005, 33: 220-224. 10.1042/BST0330220.
Greenberg DB, Stulke J, Saier MH: Domain analysis of transcriptional regulators bearing PTS regulatory domains. Res Microbiol. 2002, 153: 519-526. 10.1016/S0923-2508(02)01362-1.
Hu KY, Saier MH: Phylogeny of phosphoryl transfer proteins of the phosphoenolpyruvate-dependent sugar-transporting phosphotransferase system. Res Microbiol. 2002, 153: 405-415. 10.1016/S0923-2508(02)01339-6.
Reizer J, Saier MH: Modular multidomain phosphoryl transfer proteins of bacteria. Curr Opin Struct Biol. 1997, 7: 407-415. 10.1016/S0959-440X(97)80059-0.
Paulsen IT, Sliwinski MK, Saier MH: Microbial genome analyses: global comparisons of transport capabilities based on phylogenies, bioenergetics and substrate specificities. J Mol Biol. 1998, 277: 573-592. 10.1006/jmbi.1998.1609.
Zúñiga M, Comas I, Linaje R, Monedero V, Yebra MJ, Esteban CD, Deutscher J, Pérez-Martínez G, González-Candelas F: Horizontal gene transfer in the molecular evolution of mannose PTS transporters. Mol Biol Evol. 2005, 22: 1673-1685. 10.1093/molbev/msi163.
Baliga NS, Bonneau R, Facciotti MT, Pan M, Glusman G, Deutsch EW, Shannon P, Chiu YL, Gan RR, Hung PL, Date SV, Marcotte E, Hood L, Ng WV: Genome sequence of Haloarcula marismortui: A halophilic archaeon from the Dead Sea. Genome Res. 2004, 14: 2221-2234. 10.1101/gr.2700304.
Dimmic MW, Rest JS, Mindell DP, Goldstein RA: rtREV: an amino acid substitution matrix for inference of retrovirus and reverse transcriptase phylogeny. J Mol Evol. 2002, 55: 65-73. 10.1007/s00239-001-2304-y.
Keane TM, Creevey CJ, Pentony MM, Naughton TJ, Mclnerney JO: Assessment of methods for amino acid matrix selection and their use on empirical data shows that ad hoc assumptions for choice of matrix are not justified. BMC Evol Biol. 2006, 6: 29-10.1186/1471-2148-6-29.
Reizer J, Reizer A, Merrick MJ, Plunkett G, Rose DJ, Saier MH: Novel phosphotransferase-encoding genes revealed by analysis of the Escherichia coli genome: a chimeric gene encoding an Enzyme I homologue that possesses a putative sensory transduction domain. Gene. 1996, 181: 103-108. 10.1016/S0378-1119(96)00481-7.
Michiels J, Van ST, D'hooghe I, Dombrecht B, Benhassine T, de Wilde P, Vanderleyden J: The Rhizobium etli rpoN locus: DNA sequence analysis and phenotypical characterization of rpoN, ptsN, and ptsA mutants. J Bacteriol. 1998, 180: 1729-1740.
Cases I, Velazquez F, de Lorenzo V: Role of ptsO in carbon-mediated inhibition of the Pu promoter belonging to the pWW0 Pseudomonas putida plasmid. J Bacteriol. 2001, 183: 5128-5133. 10.1128/JB.183.17.5128-5133.2001.
Santana M, Crasnier-Mednansky M: The adaptive genome of Desulfovibrio vulgaris Hildenborough. FEMS Microbiol Lett. 2006, 260: 127-133. 10.1111/j.1574-6968.2006.00261.x.
Charbit A, Reizer J, Saier MH: Function of the duplicated IIB domain and oligomeric structure of the fructose permease of Escherichia coli. J Biol Chem. 1996, 271: 9997-10003. 10.1074/jbc.271.17.9997.
Daniels GA, Drews G, Saier MH: Properties of a Tn5 insertion mutant defective in the structural gene (fruA) of the fructose-specific phosphotransferase system of Rhodobacter capsulatus and cloning of the fru regulon. J Bacteriol. 1988, 170: 1698-1703.
Geerse RH, Izzo F, Postma PW: The PEP: fructose phosphotransferase system in Salmonella typhimurium: FPr combines enzyme IIIFru and pseudo-HPr activities. Mol Gen Genet. 1989, 216: 517-525. 10.1007/BF00334399.
de Crécy-Lagard V, Bouvet OMM, Lejeune P, Danchin A: Fructose catabolism in Xanthomonas campestris pv. campestris. Sequence of the pts operon, characterization of the fructose-specific enzymes. J Biol Chem. 1991, 266: 18154-18161.
de Crécy-Lagard V, Binet M, Danchin A: Fructose phosphotransferase system of Xanthomonas campestris pv. campestris - Characterization of the fruB gene. Microbiology. 1995, 141 (Pt 9): 2253-2260.
Reizer J, Reizer A, Saier MH: Novel PTS proteins revealed by bacterial genome sequencing: a unique fructose-specific phosphoryl transfer protein with two HPr-like domains in Haemophilus influenzae. Res Microbiol. 1996, 147: 209-215. 10.1016/0923-2508(96)81381-7.
Wu LF, Saier MH: Nucleotide sequence of the fruA gene, encoding the fructose permease of the Rhodobacter capsulatus phosphotransferase system, and analyses of the deduced protein sequence. J Bacteriol. 1990, 172: 7167-7178.
Gutknecht R, Beutler R, García-Alles LF, Baumann U, Erni B: The dihydroxyacetone kinase of Escherichia coli utilizes a phosphoprotein instead of ATP as phosphoryl donor. EMBO J. 2001, 20: 2480-2486. 10.1093/emboj/20.10.2480.
Nakamura Y, Itoh T, Matsuda H, Gojobori T: Biased biological functions of horizontally transferred genes in prokaryotic genomes. Nat Genet. 2004, 36: 760-766. 10.1038/ng1381.
García-Vallvé S, Guzmán E, Montero MA, Romeu A: HGT-DB: a database of putative horizontally transferred genes in prokaryotic complete genomes. Nucleic Acids Res. 2003, 31: 187-189. 10.1093/nar/gkg004.
Bonner CA, Disz T, Hwang K, Song J, Vonstein V, Overbeek R, Jensen RA: Cohesion group approach for evolutionary analysis of TyrA, a protein family with wide-ranging substrate specificities. Microbiol Mol Biol Rev. 2008, 72: 13-53. 10.1128/MMBR.00026-07.
Marri PR, Golding GB: Gene amelioration demonstrated: the journey of nascent genes in bacteria. Genome. 2008, 51: 164-168. 10.1139/G07-105.
Lawrence JG, Ochman H: Amelioration of bacterial genomes: rates of change and exchange. J Mol Evol. 1997, 44: 383-397. 10.1007/PL00006158.
Collier DN, Hager PW, Phibbs PV: Catabolite repression control in the Pseudomonads. Res Microbiol. 1996, 147: 551-561. 10.1016/0923-2508(96)84011-3.
Stulke J, Hillen W: Carbon catabolite repression in bacteria. Curr Opin Microbiol. 1999, 2: 195-201. 10.1016/S1369-5274(99)80034-4.
Baker DA, Kelly JM: Structure, function and evolution of microbial adenylyl and guanylyl cyclases. Mol Microbiol. 2004, 52: 1229-1242. 10.1111/j.1365-2958.2004.04067.x.
Jain R, Rivera MC, Lake JA: Horizontal gene transfer among genomes: The complexity hypothesis. Proceedings of the National Academy of Sciences of the United States of America. 1999, 96: 3801-3806. 10.1073/pnas.96.7.3801.
Pál C, Papp B, Lercher MJ: Adaptive evolution of bacterial metabolic networks by horizontal gene transfer. Nat Genet. 2005, 37: 1372-1375. 10.1038/ng1686.
Pál C, Papp B, Lercher MJ: Horizontal gene transfer depends on gene content of the host. Bioinformatics. 2005, 21 Suppl 2: ii222-ii223. 10.1093/bioinformatics/bti1136.
Altschul SF, Madden TL, Schaffer AA, Zhang J, Zhang Z, Miller W, Lipman DJ: Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997, 25: 3389-3402. 10.1093/nar/25.17.3389.
Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ: Basic local alignment search tool. J Mol Biol. 1990, 215: 403-410.
Thompson JD, Higgins DG, Gibson TJ: CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res. 1994, 22: 4673-4680. 10.1093/nar/22.22.4673.
Castresana J: Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis. Mol Biol Evol. 2000, 17: 540-552.
Strimmer K, von Haeseler A: Likelihood-mapping: a simple method to visualize phylogenetic content of a sequence alignment. Proc Natl Acad Sci. 1997, 94: 6815-6819. 10.1073/pnas.94.13.6815.
Schmidt HA, Strimmer K, Vingron M, von Haeseler A: TREE-PUZZLE: maximum likelihood phylogenetic analysis using quartets and parallel computing. Bioinformatics. 2002, 18: 502-504. 10.1093/bioinformatics/18.3.502.
Jones DT, Taylor WR, Thornton JM: The rapid generation of mutation data matrices from protein sequences. Comput Appl Biosci. 1992, 8: 275-282.
Bryant D, Moulton V: Neighbor-net: an agglomerative method for the construction of phylogenetic networks. Mol Biol Evol. 2004, 21: 255-265. 10.1093/molbev/msh018.
Huson DH, Bryant D: Application of phylogenetic networks in evolutionary studies. Mol Biol Evol. 2006, 23: 254-267. 10.1093/molbev/msj030.
Waegele JW, Mayer C: Visualizing differences in phylogenetic information content of alignments and distinction of three classes of long-branch effects. BMC Evol Biol. 2007, 7: 147-10.1186/1471-2148-7-147.
Marchler-Bauer A, Bryant SH: CD-Search: protein domain annotations on the fly. Nucleic Acids Res. 2004, 32: W327-W331. 10.1093/nar/gkh454.
Abascal F, Zardoya R, Posada D: ProtTest: selection of best-fit models of protein evolution. Bioinformatics. 2005, 21: 2104-2105. 10.1093/bioinformatics/bti263.
Akaike H: A new look at the statistical model identification. IEEE Trans Automat Contr. 1974, AC-19: 716-723. 10.1109/TAC.1974.1100705.
Guindon S, Gascuel O: A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst Biol. 2003, 52: 696-704. 10.1080/10635150390235520.
Ronquist F, Huelsenbeck JP: MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics. 2003, 19: 1572-1574. 10.1093/bioinformatics/btg180.
Rambaut A, Drummond AJ: Tracer, a program for analyzing results from Bayesian MCMC programs such as BEAST and MrBayes, v. 1.3. 2005, Oxford, University of Oxford, [http://evolve.zoo.ox.ac.uk/software.html?id=tracer/]
Shimodaira H, Hasegawa M: Multiple comparisons of log-likelihoods with applications to phylogenetic inference. Mol Biol Evol. 1999, 16: 1114-1116. [http://mbe.oxfordjournals.org/cgi/reprint/16/8/1114?maxtoshow=&HITS=10&hits=10&RESULTFORMAT=1&author1=shimodaira&author2=hasegawa&andorexacttitle=and&andorexacttitleabs=and&andorexactfulltext=and&searchid=1&FIRSTINDEX=0&sortspec=relevance&resourcetype=HWCIT]
Cole JR, Chai B, Farris RJ, Wang Q, Kulam-Syed-Mohideen AS, McGarrell DM, Bandela AM, Cardenas E, Garrity GM, Tiedje JM: The ribosomal database project (RDP-II): introducing myRDP space and quality controlled public data. Nucleic Acids Res. 2007, 35: D169-D172. 10.1093/nar/gkl889.
Tajima F: Simple methods for testing the molecular evolutionary clock hypothesis. Genetics. 1993, 135: 599-607.
This work was partially funded by a C.S.I.C. project (Ref. 2006 7 0I 097), project BFU2005-00503 from Ministerio de Educación y Ciencia (Spain) and project Grupos 03/2004 from Generalitat Valencia (Spain). We thank R. Viana for her help in the search of PTS-ptc encoding genes.
IC carried out the molecular phylogenetic studies, participated in the sequence alignment and helped to draft the manuscript. FG–C participated in the design of the study, supervised the molecular phylogenetic studies and helped to draft the manuscript. MZ conceived of the study, carried out the database searches and genomic context analysis, participated in its design and coordination and drafted the manuscript. All authors read and approved the final manuscript.
Electronic supplementary material
Additional file 2: Supplementary figures. Figure S1: likelihood mapping analysis. Figures S2 and S3: maximum likelihood phylogenetic trees for EI and HPr sequences, respectively. Figure S4: schematic representation of the proposed ancestral rpoN gene cluster of Proteobacteria. Figure S5: comparison of the topologies of phylogenetic trees for 16S and EI sequences belonging to groups R, Ntr and T (VPES). Figure S6: phylogenetic reconstruction of 16S rRNA sequences of the strains used in this study harbouring genes encoding EI, HPr or HPrK. Figure S7: ptsH or ptsI gene clusters of Actinobacteria. Figure S8: gene clusters containing FPr encoding genes and related homologues. Figure S9: sequence alignment of the IIAFru and the intervening domain of FPr proteins, Acinetobacter sp. FruB protein, and the tandem IIAFru domains of Pseudomonas FruA proteins. Figure S10: ptsK gene clusters of Bacillales. Figure S11: ptsK gene clusters of Firmicutes and F. nucleatum. Figure S12: ptsH or ptsI gene clusters of Firmicutes, VPES, Borrelia and F. nucleatum. (PDF 1006 KB)
Authors’ original submitted files for images
Below are the links to the authors’ original submitted files for images.
About this article
Cite this article
Comas, I., González-Candelas, F. & Zúñiga, M. Unraveling the evolutionary history of the phosphoryl-transfer chain of the phosphoenolpyruvate:phosphotransferase system through phylogenetic analyses and genome context. BMC Evol Biol 8, 147 (2008). https://doi.org/10.1186/1471-2148-8-147
- Horizontal Gene Transfer
- Carbon Catabolite Repression
- Horizontal Gene Transfer Event
- Phosphoryl Transfer
- Vertical Inheritance