Protein domains and architectural innovation in plant-associated Proteobacteria
© Studholme et al; licensee BioMed Central Ltd. 2005
Received: 18 August 2004
Accepted: 16 February 2005
Published: 16 February 2005
Evolution of new complex biological behaviour tends to arise by novel combinations of existing building blocks. The functional and evolutionary building blocks of the proteome are protein domains, the function of a protein being dependent on its constituent domains. We clustered completely-sequenced proteomes of prokaryotes on the basis of their protein domain content, as defined by Pfam (release 16.0). This revealed that, although there was a correlation between phylogeny and domain content, other factors also have an influence. This observation motivated an investigation of the relationship between an organism's lifestyle and the complement of domains and domain architectures found within its proteome.
We took a census of all protein domains and domain combinations (architectures) encoded in the completely-sequenced proteobacterial genomes. Nine protein domain families were identified that are found in phylogenetically disparate plant-associated bacteria but are absent from non-plant-associated bacteria. Most of these are known to play a role in the plant-associated lifestyle, but they also included domain of unknown function DUF1427, which is found in plant symbionts and pathogens of the alpha-, beta- and gamma-Proteobacteria, but not known in any other organism. Further, several domains were identified as being restricted to phytobacteria and Eukaryotes. One example is the RolB/RolC glucosidase family, which is found only in Agrobacterium species and in plants. We identified the 0.5% of Pfam protein domain families that were most significantly over-represented in the plant-associated Proteobacteria with respect to the background frequencies in the whole set of available proteobacterial proteomes. These included guanylate cyclase, domains implicated in aromatic catabolism, cellulase and several domains of unknown function.
We identified 459 unique domain architectures found in phylogenetically diverse plant pathogens and symbionts that were absent from non-pathogenic and non-symbiotic relatives. The vast majority of these were restricted to a single species or several closely related species and so their distributions could be better explained by phylogeny than by lifestyle. However, several architectures were found in two or more very distantly related phytobacteria but absent from non-plant-associated bacteria. Many of the proteins with these unique architectures are predicted to be secreted.
In Pseudomonas syringae pathovar tomato, those genes encoding genes with novel domain architectures tended to have atypical GC contents and were adjacent to insertion sequence elements and phage-like sequences, suggesting acquisition by horizontal transfer.
By identifying domains and architectures unique to plant pathogens and symbionts, we highlighted candidate proteins for involvement in plant-associated bacterial lifestyles. Given that characterisation of novel gene products in vivo and in vitro is time-consuming and expensive, this computational approach may be useful for reducing experimental search space. Furthermore we discuss the biological significance of novel proteins highlighted by this study in the context of plant-associated lifestyles.
The Proteobacteria comprise a phylum of Gram-negative bacteria that includes an extraordinary diversity of lifestyles, ecology and metabolism. At one end of a spectrum are free-living organisms such as Pseudomonas aeruginosa, which has a relatively large genome that encodes enormous regulatory and metabolic flexibility, allowing it to colonise diverse niches. At the other extreme are highly specialised intracellular symbionts (Buchnera species, Rickettsia species), whose small genomes have undergone reductive evolution and which lack many common metabolic and regulatory features. With the availability of complete genome sequences for many model plant-associated bacteria, we are particularly interested in how genome analyses can be used to gain insights into the mechanisms and evolution of associations between bacteria and plants.
There are complete annotated genome sequences available for several phylogenetically diverse proteobacterial plant pathogens and symbionts, along with many of their non-pathogenic and non-symbiotic relatives. For example, among the alpha-Proteobacteria, complete genome sequences are available for the phytopathogen Agrobacterium tumefaciens [1–3], the nitrogen-fixing symbionts Bradyrhizobium japonicum , Mesorhizobium loti  and Sinorhizobium meliloti [6, 7], the non-pathogenic free-living Caulobacter crescentus , and the animal pathogenic Rickettsia species [9–11]. Ralstonia solanacearum  is the sole completely sequenced plant pathogen amongst the beta-Proteobacteria, a division that also includes animal pathogens in the genera Neisseria [13, 14] and Bordetella  and the free-living chemolithoautotroph Nitrosomonas europaea  whose genomes have been sequenced. Among the available complete genome sequences for the gamma-Proteobacteria are those of the plant pathogens Xylella fastidiosa [17, 18], Xanthomonas campestris , Xanthomonas axonopodis  and Pseudomonas syringae pathovar tomato  as well as P. aeruginosa , which is an occasional pathogen of plants as well as animals.
Each of these three divisions of the Proteobacteria contains a wide variety of different lifestyles, so it is logical to assume that bacteria-plant interactions have evolved independently in multiple separate Proteobacterial lineages. Ultimately the differences between these lifestyles are determined by the organisms' genes acting through their expressed proteins and RNAs. Given the abundance of complete genome sequence data now available, a high priority is to understand which features of an organism's proteome determine its lifestyle, and the evolutionary processes underlying environmental adaptation and evolution of novel traits. Two main sources have been proposed for the evolution and acquisition of novel traits by bacteria: (i) duplication, mutation and recombination of existing genes within a single lineage, and (ii) lateral gene transfer between lineages. A combination of both bioinformatic and experimental studies are needed to determine the relative importance of these two processes in the evolution of plant-associated lifestyles in bacteria.
Evolution of new complex biological behaviours tends to arise (but not exclusively) by novel combinations of existing building blocks. The functional and evolutionary building blocks or units of the proteome are protein domains. Protein domains can be classified into families; examples of widely used classification schemes are those of Pfam  and SMART . We hypothesised that systematic identification of proteins having domain architectures that are exclusive to plant-associated bacteria would identify good candidates for proteins with specific involvement in plant-microbial interactions, or in a plant-associated lifestyle, and would also generate insight into the distribution and evolution of novel traits in plant-associated bacteria.
Results and discussion
Hierarchical clustering of completely-sequenced prokaryotic proteomes
The tree in Figure 1 illustrates the similarities and differences between prokaryotes with respect to their repertoire of recognisable protein domain families. There is clearly a correlation between domain complement and phylogeny; for example, the Archaea form a distinct cluster that is clearly separated from the Bacteria. Furthermore, within the Bacteria, the Cyanobacteria, Gram-positive Bacteria, chlamydias and mycoplasmas each fall into distinct clusters. However, there are some striking discrepancies between the protein domain-based clustering and phylogenetic classification. For example, the oral pathogen Treponema denticola (marked with an asterisk in Figure 1) clusters with the dental bacterium Fusobacterium nucleatum rather than with its fellow spirochetes T. pallidum and Borrelia burgdorferi.
It is notable that the Proteobacteria do not form a single distinct cluster in the protein-domain based classification in Figure 1. The cluster that contains the gamma-proteobacterial Pseudomonas and Xanthomonas species also contains the beta-Proteobacteria R. solanacearum and Chromobacterium violaceum. This probably reflects that these organisms have relatively large genomes and therefore share in common some common protein domains that are not encoded in smaller more streamlined genomes. Conversely X. fastidiosa, which has a relatively small genome, falls into a cluster with Neisseria meningitidis.
Interestingly, the plant pathogen E. caratovora fell into a cluster with Yersinia pestis, Salmonella species and E. coli, which are animal pathogens and commensals. This indicates that despite differing lifestyles, these species have diverged relatively little with respect to loss and gain of protein domain families.
Overall, the results of clustering bacterial proteomes on the basis of their domain content suggested that in addition to phylogeny, an organism's domain repertoire may reflect other factors, possibly including genome size and lifestyle. These preliminary observations led us to investigate whether it is possible to identify any particular domains or domain architectures that may be characteristic of a plant-associated lifestyle.
Protein domain families restricted to plant-associated bacteria
Pfam protein domain families found in phylogentically disparate plant-associated bacteria and not found in non-plant associated bacteria.
Pfam domain family
Avirulence PF03377 X. avirulence protein, Avr/PthA
R. solanacearum; X. axonopodis (pv. citri); X. campestris (pv. citri); X. campestris (pv. vesicatoria); X. campestris; X. manihotis; X. oryzae (pv. oryzae); X. oryzae;
DspF PF06704 DspF/AvrF protein
Erwinia amylovora; E. carotovora subsp. atroseptica SCRI1043; Erwinia pyrifoliae; Erwinia stewartii; Pantoea agglomerans (pv. gypsophilae) (Erwinia herbicola); Pectobacterium atrosepticum; P. syringae (pv. tomato); P. syringae;
DUF1427 PF07235 Domain of unknown function
A. tumefaciens (strain C58 / ATCC 33970); B. japonicum; P. aeruginosa; R. solanacearum; Rhizobium leguminosarum (biovar trifolii); Rhizobium meliloti (Sinorhizobium meliloti); X. campestris (pv. campestris);
DUF811 PF05665 Domain of unknown function
P. aeruginosa; R. solanacearum;
HrpE PF06188 HrpE protein
Erwinia amylovora; E. carotovora subsp. atroseptica SCRI1043; Erwinia chrysanthemi; Erwinia pyrifoliae; Erwinia stewartii; Pectobacterium atrosepticum; Pectobacterium carotovorum (subsp. carotovorum) (E. carotovora (subsp. carotovora)); P. fluorescens; P. syringae (pv. glycinea); P. syringae (pv. phaseolicola); P. syringae (pv. savastanoi); P. syringae (pv. syringae); P. syringae (pv. tabaci); P. syringae (pv. tomato); P. syringae;
HrpF PF06266 HrpF protein
Erwinia amylovora; E. carotovora subsp. atroseptica SCRI1043; Erwinia chrysanthemi; Erwinia pyrifoliae; Erwinia stewartii; Pectobacterium atrosepticum;Pectobacterium carotovorum (subsp. carotovorum) (E. carotovora (subsp. carotovora)); P. syringae (pv. glycinea); P. syringae (pv. phaseolicola); P. syringae (pv. savastanoi); P. syringae (pv. syringae); P. syringae (pv. tabaci); P. syringae (pv. tomato);
Ice_nucleation PF00818 Ice nucleation protein repeat
Bordetella phage BPP-1; Erwinia herbicola; Pantoea ananas (Erwinia uredovora); P. fluorescens; P. syringae (pv. syringae); P. syringae; X. campestris (pv. campestris); X. campestris (pv. translucens);
NolX PF05819 NolX protein
R. solanacearum; Rhizobium fredii (Sinorhizobium fredii); Mesorhizobium loti; Rhizobium sp. (strain NGR234); X. axonopodis (pv. citri); X. axonopodis pv. glycines; X. campestris (pv. campestris); X. campestris (pv. vesicatoria); X. oryzae (pv. oryzae);
VirK PF06903 VirK protein
A. tumefaciens (strain C58 / ATCC 33970); A. tumefaciens; B. japonicum; P. syringae (pv. tomato); R. solanacearum; Rhizobium sp. (strain NGR234); X. axonopodis (pv.citri); X. campestris (pv. campestris); X. fastidiosa (strain Temecula1 / ATCC 700964); X. fastidiosa;
Pfam protein domain families restricted to plant-associated bacteria and eukaryotes.
Pfam domain family
Species distribution (not exhaustive)
CBM_14 PF01607 Chitin binding Peritrophin-A domain
Ralstonia solanacearum; Metazoa; Fungi; Viruses
CD225 PF04505 Interferon- induced transmembrane protein
Xanthomonas campestris (pv campestris); Metazoa;
DUF726 PF05277 Protein of unknown function (DUF726)
Pseudomonas syringae (pv tomato); Metazoa; Plants;
DUF763 PF05559 Protein of unknown function (DUF763)
Mesorhizobium loti; Sinorhizobium meliloti; Xanthomonas axonopodis (pv. citri); Xanthomonas campestris (pv. campestris); Archaea;
GDA1_CD39 PF01150 GDA1/CD39 (nucleoside phosphatase) family
Pseudomonas syringae (pv. Tomato); Plants; Fungi; Metazoa;
Het-C PF07217 Heterokaryon incompatibility protein Het-C
Pseudomonas syringae (pv. tomato); Fungi;
PAX PF00292 'Paired box' domain
Rhizobium etli; Mesorhizobium loti; Metazoa;
PPR PF01535 PPR repeat
Ralstonia solanacearum; Plants; Metazoa; Fungi;
Rhamnogal_lyase PF06045 Rhamnogalacturonate lyase family
Erwinia carotovora subsp. atroseptica SCRI1043; Erwinia chrysanthemi; Plants;
Ribosomal_60s PF00428 60s Acidic ribosomal protein
Ralstonia solanacearum (Pseudomonas solanacearum); Plants; Metazoa; Archaea;
RolB_RolC PF02027 RolB/RolC glucosidase family
Agrobacterium rhizogenes; Agrobacterium tumefaciens (strain Ach5), and Agrobacterium tumefaciens (strain 15955); Agrobacterium tumefaciens (strain Ach5), and Agrobacterium tumefaciens; Agrobacterium tumefaciens (strain Ach5); Agrobacterium tumefaciens (strain C58 / ATCC 33970); Agrobacterium tumefaciens; Agrobacterium vitis (Rhizobium vitis); Plants;
SBP56 PF05694 56 kDa selenium binding protein (SBP56)
Bradyrhizobium japonicum; ; Plants; Metazoa; Archaea;
ST7 PF04184 ST7 protein
Rhizobium loti (Mesorhizobium loti); Metazoa;
Protein domain families that are over-represented in plant-associated bacteria
Protein domain families over-represented in plant-associated proteobacteria.
Expected number of proteins
Observed number of proteins
The domain with the statistically most significant over-representation in the plant-associated bacteria was the guanylate cyclase domain (Pfam:PF00211). This domain was particularly abundant in B. japonicum (32 proteins) and S. meliloti (24 proteins). No other fully-sequenced proteobacterium encodes more than three, although the spirochaete Leptospira interrogans encodes 17 proteins matching PF00211). Cyclic-diGMP, the product of guanylate cyclase, is a secondary messenger that plays a role in cell-cell and cell-surface contact in several bacteria by regulating cellular adhesion genes . Such interactions are very important in initiating bacterial infection of eukaryotic organisms and this may account in part for the high numbers of such domains in these plant-associated bacteria. Of particular interest is the observation that one response regulator from C. crescentus has been shown to become sequestered to the cell pole following phosphorylation . This is coupled to the activation of the guanylate cyclase domain, suggesting that localised synthesis of this secondary message could induce local effects within specific regions of the bacterial cell.
Another domain with statistically significant over-representation in the plant-associated bacteria was the bacterial luciferase-like monooxygenase domain (Pfam:PF00296). This domain was particularly abundant in the plant-associated alpha-Proteobacteria with 15 proteins in Agrobacterium tumefaciens, 11 proteins in B. japonicum and 9 proteins in M. loti containing this domain. The related alpha-Proteobacteria C. crescentus, B. melitensis, B. suis and Rhodopseudomonas palustris have 3, 2, 2 and 0 luciferase (PF00296) proteins respectively. Other species containing large numbers of luciferase-like proteins include Mycobacterium bovis (13 proteins) and M. tuberculosis (14 proteins).
Several domains of unknown function are amongst those most over-represented in the phytobacteria. For example, DUF636 is unusually abundant in the rhizobia with 16 representative proteins in B. japonicum and 14 and 13 in M. loti and S. meliloti respectively. Other prokaryotes encode between 0 and 5 DUF636 proteins, whilst Arabidopsis thaliana and Homo sapiens each encode one.
The functionality of the proteome depends not only on the repertoire of protein domains but also on the interactions and cellular context of those domains. One important aspect of this context is the range of combinations of domains within a protein; that is the domain architecture of proteins.
We used the Pfam database to ascertain the domain architecture of every protein sequence from each bacterial species for which a complete annotated genome sequence was available. 3,774 distinct protein domain architectures were found in R. solanacearum, P. aeruginosa, E. carotovora (subspecies atroseptica), P. syringae (pathovar tomato), B. japonicum, S. meliloti, M. loti, A. tumefaciens, X. fastidiosa, X. campestris, X. axonopodis. 459 of the 3,774 domain architectures encoded in genomes of plant-associated bacteria were absent in all other bacteria for which complete genome sequences were available. These 459 architectures are listed in the supplementary data. However, many of these architectures were restricted to a single species or several closely related species and so were of limited interest for this study.
Domain architectures found in phytobacteria of two or more subdivisions of the Proteobacteria and not found in non-plant-associated bacteria.
Aeropyrum pernix; Archaeoglobus fulgidus; Bradyrhizobium japonicum; Methanobacterium thermoautotrophicum; Methanopyrus kandleri; Picrophilus torridus; Pyrobaculum aerophilum; Pyrococcus abyssi; Pyrococcus furiosus; Pyrococcus horikoshii; M. loti; S. meliloti; Sulfolobus solfataricus; Sulfolobus tokodaii; Thermoplasma acidophilum; Thermoplasma volcanium; X. axonopodis (pv. citri); X. campestris (pv. campestris);
Hypothetical protein XCC1094. (Q8PBM5); Hypothetical protein XAC1190. (Q8PN83); Hypothetical protein APE1824. (Q9YAX1); Hypothetical protein ST0586. (Q974S6); Hypothetical protein PF0611. (Q8U361); Hypothetical protein. (Q97VZ2); Hypothetical protein PH0745. (O58515); Hypothetical protein SMb21455. (Q92U57); Hypothetical protein. (Q9UZ46); Mlr6856 protein. (Q987Y3); Bll3834 protein. (Q89NK4); Uncharacterized conserved protein. (Q8TYA4); Hypothetical protein PAE0766. (Q8ZYH9); Hypothetical protein TVG0468151. (Q97BH6); Hypothetical protein Ta1095. (Q9HJ77); Hypothetical protein AF1496. (O28776); Hypothetical protein. (Q6L1J8); Hypothetical protein MTH448. (O26548); Hypothetical protein MTH449. (O26549);
A. tumefaciens (strain C58 / ATCC 33970); A. tumefaciens; Bradyrhizobium japonicum; P. syringae (pv. tomato); R. solanacearum; Rhizobium sp. (strain NGR234); X. axonopodis (pv. citri); X. campestris (pv. campestris); X. fastidiosa (strain Temecula1 / ATCC 700964); X. fastidiosa;
VirK (Tiorf135 protein). (O50246*); VirA/G regulated gene. (Q7CNV8); Hypothetical 15.8 kDa protein in pinF2 3'region (ORF2). (Q44433*); Hypothetical 15.6 kDa protein y4WH. (P55686*); PUTATIVE SIGNAL PEPTIDE PROTEIN. (Q8XX33*); VirK protein. (Q8PDC2*); VirK protein. (Q8PQ93); ID299. (Q9ANE2*); Blr1847 protein. (Q79UP9); VirK protein. (Q87D31); VirK protein. (Q9PC40*); Hypothetical protein. (Q880Z8);
A. tumefaciens (strain C58 / ATCC 33970); Bradyrhizobium japonicum; P. aeruginosa; R. solanacearum; Rhizobium leguminosarum (biovar trifolii); S. meliloti; X. campestris (pv. campestris);
Hypothetical protein XCC2052. (Q8P914); Bsl6958 protein. (Q89EW2); Hypothetical protein. (Q93EB2); HYPOTHETICAL TRANSMEMBRANE PROTEIN. (Q8Y2U1*); AGR_L_1747p. (Q8U4X9*); Hypothetical protein. (Q92Y85); Bsr4258 protein. (Q89MD5); Hypothetical protein. (Q9I0E5*);
A. tumefaciens (strain C58 / ATCC 33970); Neurospora crassa; P. aeruginosa; P. syringae (pv. tomato); R. solanacearum; M. loti; S. meliloti;
Hypothetical protein. (Q7SFH5); Hypothetical protein Atu3018. (Q8UBJ8); Hypothetical protein. (Q92YL1); Mlr2224 protein. (Q98IW1); Hypothetical protein. (Q9I3U3); Hypothetical protein. (Q9JP27); AGR_L_3571p. (Q7CRD4); Hypothetical protein RSc0819. (Q8Y171);
A. tumefaciens (strain C58 / ATCC 33970); P. syringae (pv. tomato); M. loti; S. meliloti;
Msr9757 protein. (Q98P91); Mll8115 protein. (Q983Y2); Hypothetical protein. (Q88BH6); Hypothetical protein Atu5040. (Q8UKR0); AGR_pAT_52p. (Q7D423); Hypothetical protein. (Q92XS2); Hypothetical protein. (Q930E6); Hypothetical protein. (Q930E5);
A. tumefaciens (strain C58 / ATCC 33970); M. loti; S. meliloti; X.fastidiosa (strain Temecula1 / ATCC 700964); X. fastidiosa;
Metallo-beta-lactamase superfamily protein. (Q8UAA9); Hypothetical protein. (Q92ZB8); AGR_L_2726p. (Q7CSJ2); Hypothetical protein. (Q87AD6); Mlr2158 protein. (Q98J12); Hypothetical protein. (Q9PFB0);
Bradyrhizobium sp. ORS278; X. axonopodis (pv. citri);
Phytochrome-like protein. (Q8PEQ2); Bacteriophytochrome. (Q8VUB6);
Microbispora bispora; Micromonospora cellulolyticum; R. solanacearum; Thermomonospora fusca; X. fastidiosa (strain Temecula1 / ATCC 700964); X. fastidiosa;
Cellulose 1,4-beta-cellobiosidase. (Q87E00); 1,4-beta-cellobiosidase. (Q9PDW2); PROBABLE EXOGLUCANASE A (1,4-BETA-CELLOBIOSIDASE) PROTEIN (EC18.104.22.168). (Q8XS97); Endoglucanase A precursor (EC 22.214.171.124) (Endo-1,4-beta-glucanase) (Cellulase). (P26414*); Endoglucanase E-2 precursor (EC 126.96.36.199) (Endo-1,4-beta-glucanase E-2)(Cellulase E-2) (Cellulase E2). (P26222*); Endo-beta-1,4-glucanase. (Q53488);
P. aeruginosa; R. solanacearum;
Hypothetical protein. (Q9I6E4*); Hypothetical protein. (Q9I6E5*); Hypothetical protein RSc3082. (Q8XUV1);
Condensation~Condensation~AMP-binding~PP-binding~Condensation~AMP-binding~PP- binding~Condensation~AMP-binding~PP- binding~Condensation~AMP-binding~PP- binding~Condensation~AMP-binding~PP- binding~Thioesterase~Thioesterase
P. syringae (pv. tomato); R. solanacearum;
Probable peptide synthesis protein. (Q8XS39); Non-ribosomal peptide synthetase, terminal component. (Q881Q3);
R. solanacearum; Rhizobium fredii (Sinorhizobium fredii); M. loti; Rhizobium sp. (strain NGR234); X. axonopodis (pv. citri); X. axonopodis pv. glycines; X. campestris (pv. campestris); X. campestris (pv. vesicatoria); X. oryzae (pv. oryzae);
HrpF protein. (Q8PBA6); HrpF protein. (Q8PQD2); HrpF. (Q83XD5); HrpF. (O33967); HrpF. (Q6F5A9); HrpF. (Q9KW22); Type III secretion system component. (Q6QJ83); SECRETED PROTEIN POPF2. (Q8XRF4); SECRETED PROTEIN POPF1. (Q8XPT2); Nodulation protein; NolX. (Q989P8); Nodulation protein nolX. (P55711); Nodulation protein NolX. (Q93LZ2); Nodulation protein NolX. (Q9EUG7); Nodulation protein nolX. (P33213);
R. solanacearum; X. axonopodis (pv. citri);
Hypothetical protein XAC3753. (Q8PG64*); Probable transmembrane protein (Q8XQ05*);
R. solanacearum; X. axonopodis (pv. citri); X. campestris (pv. citri); X. campestris (pv. vesicatoria); X. campestris; X. oryzae (pv. oryzae); X. oryzae;
Avirulence protein AvrXa7-3M. (Q6GWX1); Avirulence protein AvrXa7-1M. (Q6GWX7); Avirulence protein. (Q9EZV3); Avirulence protein AvrXa7-4M. (Q6GWX4); Avirulence protein. (Q9F0D0); Hypothetical 122 kDa avirulence protein in avrBs3 region. (P14727); AvrBs3-2 protein. (Q07061); PROBABLE AVRBS3-LIKE PROTEIN. (Q8XYE3); Apl3 protein. (Q9Z3F5); Avirulence protein. (Q8PRG7); PthA protein. (Q56780); Apl1 protein. (Q9R7J3); Avirulence protein AvrXa7-2M. (Q6GWX3); Avirulence protein. (Q8PRN6); Avirulence protein AvrXa10. (Q56830); PthB. (Q7X130); Apl2 protein. (Q9Z3F6); Avirulence protein. (Q8PRM3); Avirulence protein. (Q8PRK7);
M. loti; Rhizobium sp. (strain NGR234); X. axonopodis (pv. citri); X. campestris (pv. campestris);
Mll4799 protein. (Q98D97); Hypothetical protein XAC3576. (Q8PGP0); Hypothetical protein wxcX. (O34262); Hypothetical 45.0 kDa protein y4gN. (P55470);
M. loti; X. axonopodis (pv. citri); uncultured bacterium 560;
TPR domain/sulfotransferase domain protein. (Q6SGF7); Mlr4028 protein. (Q98EY4); Hypothetical protein XAC3051. (Q8PI47);
Further analysis of novel Pseudomonas protein domain architectures
The availability of multiple finished and unfinished Pseudomonas genomes allowed us to study in more detail the distribution, genomic context and properties of Pseudomonas gene products highlighted by this analysis. Closer examination of the genomic context of the P. syringae genes encoding proteins with unusual domain architectures showed that most were flanked on either or both sides by genes that have few or no orthologues in other Pseudomonas strains, suggesting that these novel genes have been recruited simultaneously with other genes, possibly of related function, or that they have recombined into the genome at hotspots for recombination and insertion of alien DNA.
To further address the hypothesis that at least some of these architectures have been acquired by horizontal gene transfer we examined the GC content and third position GC content of each of these genes, in comparison to the total genome (0.593 GC, 0.716 GC3). Sixteen of the genes deviated from the average GC3 content by more than 0.05. High GC3 content genes include pvsA, PSPTO4084, PSPTO2413 and cfa6. Low GC3 content genes include hrpZ, PSPTO3210, glf, PSPTO4696, hopPtoS(1,2 & 3), PSPTO2259, PSPTO0400, avrF and PSPTO1070. The GC content of flanking genes frequently reflected that of the novel gene, most strikingly for glf, PSPTO2441, PSPTO4696, hopPtoS(1,2 &3), PSPTO4699, PSPTO1070 & PSPTO2632, which were each associated with low GC regions containing few ORFs with orthologues in other Pseudomonas genomes.
Overall, this analysis suggests that a large number of the novel architectures present in P. syringae pathovar. tomato are uniquely associated with this species or pathovar of Pseudomonas, and that many of these genes have been acquired by horizontal gene transfer and are located in regions of the genome with a high potential for recombination and rearrangement.
Our initial observations, from the clustering of complete prokaryotic proteomes on the basis of domain content, motivated us to test whether any protein domains or domain architectures are specifically associated with a plant-associated lifefstyle. We identified nine protein domain families that are found in phylogenetically diverse plant-associated bacteria but not in non-plant-associated Bacteria (Table 1). Inevitably, there is an element of random chance in the species distribution of domain families; however, we observed that most of domains whose functions are at least partly known are implicated in the plant associated lifestyle. Therefore it seems possible that the two domains of unknown function (DUF811 and DUF1427) may also turn out to be significant for this lifestyle. Several domain families were also found only in plant pathogenic bacteria and in eukaryotes (Table 2). For example the RolB/RolC-like domain family is restricted to plant-associated bacteria and to plants of the genus Nicotiana, and is implicated in modulating auxin activity.
Having investigated patterns of presence or absence of domains within bacterial proteomes, we next identified which domains are most over-represented in the plant-pathogenic Proteobacteria as compared with the frequency of occurrence in all the sequenced Proteobacteria (Table 3). Amongst the most over-represented domains was the guanylate cyclase domain. This was largely due to the large number of guanylate-cyclase-like proteins encoded by B. japonicum and S. meliloti. Although this approach may have revealed some potential leads for further investigation, it should be remembered that this analysis was rather crude and susceptible to the biased phylogenetic distribution of the organisms for which complete genome sequence data are currently available. However, detailed analysis of the frequency distributions of protein domain families in various organisms may yield rewards.
As well as the repertoire of domains, another important aspect of a proteome is the repertoire of domain architectures; that is the combinations of domains found within a single protein. Just as for the repertoire of domains, the species distribution of a domain architecture might be explained by chance. Nevertheless, the proteins listed in Table 4 may be a good starting point for further investigation of bacterium-plant interactions.
Many of these protein identified in this study have N-terminal predicted signal peptide motifs, suggesting that they are secreted. Further experiments are required to determine whether proteins of unknown function will also have a role in plant-specific functions. Many proteins involved in bacteria-plant interactions, such as TTSS-secreted effectors have subtle or conditional phenotypes, and would not be identified in conventional mutant-phenotype screens. Assays to detect subtle differences in growth in planta or in disease development are labour-intensive. Bioinformatic analyses such as this one represent useful and informative tools for reducing experimental search space, particularly when combined with other post-genomic techniques such as microarray analyses.
We found relatively little evidence of lateral dissemination of niche-specific novel architectures between phylogenetically distinct divisions in the Proteobacteria, with less than 20 phytobacteria-specific domain architectures present in two or more divisions of the Proteobacteria. We did identify a number of domain architectures and domains that were uniquely conserved in both plant-associated prokaryotes and eukaryotes. The methodology used in this study makes no prior assumptions about the nature or cause of "uniqueness". Unique architectures identified using this approach include rare domains, novel domain combinations and architectures that are truncated relative to the majority of similar proteins (which may represent deletions and loss of function mutations). Some proteins will inevitability be included or excluded because of the limitations of current domain prediction technology. However, in addition to identifying protein candidates for further investigation, this type of analysis can be used to challenge and improve current models for domain prediction and expose errors and limitations of genome sequence data and protein prediction. For example, consider a case in which a protein is identified as having the "unique" architecture B~C~D. Additional examination of the protein may reveal that the protein has a similar sequence to proteins with the architecture A~B~C~D. The absence of the A domain may indicate a genuine alteration in structure and potentially in function, or a frameshift in the genome sequence data, or a functional "A" domain that fails to meet current predictive criteria. Each of these hypotheses can be tested by further research and experimentation, both in silico and in the lab.
Although our approaches to identifying candidate genes and proteins of significance to lifestyle have led to several potential leads and interesting hypotheses, there are some caveats. Firstly, evolution does not proceed exclusively through loss and gain of domains and domain shuffling; for example, protein innovation can also occur through mutation and divergence within domain families. Also, it is becoming increasingly apparent that an organism's physiology, behaviour and ecology depend as much on higher order 'systems level' phenomena as on the inventory of molecular components.
We chose to base our surveys of protein domains on the Pfam because this mature database is relatively comprehensive in its coverage (e.g. compared with SMART) and its data is of high quality. Furthermore, its data is distributed in a form that is ideally suited for constructing database queries such as those in this study. Another advantage is that in Pfam no two domains ever overlap in their coverage of a protein sequence, which significantly simplifies the analysis. However, it should be noted that Pfam is not absolutely infallible and some of its threshold values are rather stringent, leading to failure to identify some 'outlying' members of a domain family.
In summary, this study has described and applied a new approach for identifying architectural innovation and potentially important domains in proteins from genome sequence data. The data generated in this study have highlighted a large number of interesting and largely uncharacterised novel proteins and suggested new insights into the molecular basis of interactions between bacteria and their plant hosts, which will provide inspiration for future experimental research.
The Pfam relational database data files were downloaded from the Pfam website . The census of domains and architectures were taken from Pfam release 16.0 (November 2004) using custom PERL scripts to wrap SQL queries against the Pfam relational database.
The complete bacterial genomes included in Pfam 16.0, and hence considered in this study, are listed in the supplementary data. We excluded from the analysis of domain architectures all protein sequences in UniProt  that are designated as fragments.
A file listing the presence or absence of each Pfam domain in each proteome can be found in the supplementary data. Each row in this file represented a vector used for the clustering of bacterial proteomes. Neighbour-joining was performed using PHYLIP . Trees were visualised using ATV .
BLAST  searches were performed using the NCBI  and Expasy  web servers. Comparison between Pseudomonas genomes was aided by use of PseudoDB . Transmembrane and signal peptide predictions were taken from Pfam, which in turn uses TMHMM  and SignalP . It should be remembered that predictive methods often have difficulty distinguishing between signal peptides and N-terminal transmembrane helices .
DJS is grateful to Lachlan Coin for early discussions about clustering of proteomes and over-representation of domains, which contributed to the conception of this work.
We thank Ray Dixon for helpful discussion. We are also indebted to the Pfam team for making their data readily available. Research at the Sainsbury Laboratory is funded by the Gatsby Charitable Foundation.
- Wood DW, Setubal JC, Kaul R, Monks DE, Kitajima JP, Okura VK, Zhou Y, Chen L, Wood GE, Almeida NF, Woo L, Chen Y, Paulsen IT, Eisen JA, Karp PD, Bovee D, Chapman P, Clendenning J, Deatherage G, Gillet W, Grant C, Kutyavin T, Levy R, Li MJ, McClelland E, Palmieri A, Raymond C, Rouse G, Saenphimmachak C, Wu Z, Romero P, Gordon D, Zhang S, Yoo H, Tao Y, Biddle P, Jung M, Krespan W, Perry M, Gordon-Kamm B, Liao L, Kim S, Hendrick C, Zhao ZY, Dolan M, Chumley F, Tingey SV, Tomb JF, Gordon MP, Olson MV, Nester EW: The genome of the natural genetic engineer Agrobacterium tumefaciens C58. Science. 2001, 294: 2317-2323. 10.1126/science.1066804.PubMedView ArticleGoogle Scholar
- Goodner B, Hinkle G, Gattung S, Miller N, Blanchard M, Qurollo B, Goldman BS, Cao Y, Askenazi M, Halling C, Mullin L, Houmiel K, Gordon J, Vaudin M, Iartchouk O, Epp A, Liu F, Wollam C, Allinger M, Doughty D, Scott C, Lappas C, Markelz B, Flanagan C, Crowell C, Gurson J, Lomo C, Sear C, Strub G, Cielo C, Slater S: Genome sequence of the plant pathogen and biotechnology agent Agrobacterium tumefaciens C58. Science. 2001, 294: 2323-2328. 10.1126/science.1066803.PubMedView ArticleGoogle Scholar
- Kaneko T, Nakamura Y, Sato S, Minamisawa K, Uchiumi T, Sasamoto S, Watanabe A, Idesawa K, Iriguchi M, Kawashima K, Kohara M, Matsumoto M, Shimpo S, Tsuruoka H, Wada T, Yamada M, Tabata S: Complete genomic sequence of nitrogen-fixing symbiotic bacterium Bradyrhizobium japonicum USDA110. DNA Res. 2002, 9: 189-197.PubMedView ArticleGoogle Scholar
- Kaneko T, Nakamura Y, Sato S, Asamizu E, Kato T, Sasamoto S, Watanabe A, Idesawa K, Ishikawa A, Kawashima K, Kimura T, Kishida Y, Kiyokawa C, Kohara M, Matsumoto M, Matsuno A, Mochizuki Y, Nakayama S, Nakazaki N, Shimpo S, Sugimoto M, Takeuchi C, Yamada M, Tabata S: Complete genome structure of the nitrogen-fixing symbiotic bacterium Mesorhizobium loti. DNA Res. 2000, 7: 331-338.PubMedView ArticleGoogle Scholar
- Capela D, Barloy-Hubler F, Gouzy J, Bothe G, Ampe F, Batut J, Boistard P, Becker A, Boutry M, Cadieu E, Dreano S, Gloux S, Godrie T, Goffeau A, Kahn D, Kiss E, Lelaure V, Masuy D, Pohl T, Portetelle D, Puhler A, Purnelle B, Ramsperger U, Renard C, Thebault P, Vandenbol M, Weidner S, Galibert F: Analysis of the chromosome sequence of the legume symbiont Sinorhizobium meliloti strain 1021. Proc Natl Acad Sci USA. 2001, 98: 9877-9882. 10.1073/pnas.161294398.PubMedPubMed CentralView ArticleGoogle Scholar
- Galibert F, Finan TM, Long SR, Puhler A, Abola P, Ampe F, Barloy-Hubler F, Barnett MJ, Becker A, Boistard P, Bothe G, Boutry M, Bowser L, Buhrmester J, Cadieu E, Capela D, Chain P, Cowie A, Davis RW, Dreano S, Federspiel NA, Fisher RF, Gloux S, Godrie T, Goffeau A, Golding B, Gouzy J, Gurjal M, Hernandez-Lucas I, Hong A, Huizar L, Hyman RW, Jones T, Kahn D, Kahn ML, Kalman S, Keating DH, Kiss E, Komp C, Lelaure V, Masuy D, Palm C, Peck MC, Pohl TM, Portetelle D, Purnelle B, Ramsperger U, Surzycki R, Thebault P, Vandenbol M, Vorholter FJ, Weidner S, Wells DH, Wong K, Yeh KC, Batut J: The composite genome of the legume symbiont Sinorhizobium meliloti. Science. 2001, 293: 668-672.PubMedView ArticleGoogle Scholar
- Nierman WC, Feldblyum TV, Laub MT, Paulsen IT, Nelson KE, Eisen JA, Heidelberg JF, Alley MR, Ohta N, Maddock JR, Potocka I, Nelson WC, Newton A, Stephens C, Phadke ND, Ely B, DeBoy RT, Dodson RJ, Durkin AS, Gwinn ML, Haft DH, Kolonay JF, Smit J, Craven MB, Khouri H, Shetty J, Berry K, Utterback T, Tran K, Wolf A, Vamathevan J, Ermolaeva M, White O, Salzberg SL, Venter JC, Shapiro L, Fraser CM, Eisen J: Complete genome sequence of Caulobacter crescentus. Proc Natl Acad Sci USA . 2001, 98: 4136-4141. 10.1073/pnas.061029298.PubMedPubMed CentralView ArticleGoogle Scholar
- Ogata H, Audic S, Renesto-Audiffren P, Fournier PE, Barbe V, Samson D, Roux V, Cossart P, Weissenbach J, Claverie JM, Raoult D: Mechanisms of evolution in Rickettsia conorii and R. prowazekii. Science. 2001, 293: 2093-2098. 10.1126/science.1061471.PubMedView ArticleGoogle Scholar
- Ogata H, Audic S, Barbe V, Artiguenave F, Fournier PE, Raoult D, Claverie JM: Selfish DNA in protein-coding genes of Rickettsia. Science. 2000, 290: 347-350. 10.1126/science.290.5490.347.PubMedView ArticleGoogle Scholar
- Andersson SG, Zomorodipour A, Andersson JO, Sicheritz-Ponten T, Alsmark UC, Podowski RM, Naslund AK, Eriksson AS, Winkler HH, Kurland CG: The genome sequence of Rickettsia prowazekii and the origin of mitochondria. Nature. 1998, 396: 133-140. 10.1038/24094.PubMedView ArticleGoogle Scholar
- Salanoubat M, Genin S, Artiguenave F, Gouzy J, Mangenot S, Arlat M, Billault A, Brottier P, Camus JC, Cattolico L, Chandler M, Choisne N, Claudel-Renard C, Cunnac S, Demange N, Gaspin C, Lavie M, Moisan A, Robert C, Saurin W, Schiex T, Siguier P, Thebault P, Whalen M, Wincker P, Levy M, Weissenbach J, Boucher CA: Genome sequence of the plant pathogen Ralstonia solanacearum. Nature. 2002, 415: 497-502. 10.1038/415497a.PubMedView ArticleGoogle Scholar
- Tettelin H, Saunders NJ, Heidelberg J, Jeffries AC, Nelson KE, Eisen JA, Ketchum KA, Hood DW, Peden JF, Dodson RJ, Nelson WC, Gwinn ML, DeBoy R, Peterson JD, Hickey EK, Haft DH, Salzberg SL, White O, Fleischmann RD, Dougherty BA, Mason T, Ciecko A, Parksey DS, Blair E, Cittone H, Clark EB, Cotton MD, Utterback TR, Khouri H, Qin H, Vamathevan J, Gill J, Scarlato V, Masignani V, Pizza M, Grandi G, Sun L, Smith HO, Fraser CM, Moxon ER, Rappuoli R, Venter JC: Complete genome sequence of Neisseria meningitidis serogroup B strain MC58. Science. 2000, 287: 1809-1815. 10.1126/science.287.5459.1809.PubMedView ArticleGoogle Scholar
- Parkhill J, Achtman M, James KD, Bentley SD, Churcher C, Klee SR, Morelli G, Basham D, Brown D, Chillingworth T, Davies RM, Davis P, Devlin K, Feltwell T, Hamlin N, Holroyd S, Jagels K, Leather S, Moule S, Mungall K, Quail MA, Rajandream MA, Rutherford KM, Simmonds M, Skelton J, Whitehead S, Spratt BG, Barrell BG: Complete DNA sequence of a serogroup A strain of Neisseria meningitidis Z2491. Nature. 2000, 404: 502-506. 10.1038/35006655.PubMedView ArticleGoogle Scholar
- Parkhill J, Sebaihia M, Preston A, Murphy LD, Thomson N, Harris DE, Holden MT, Churcher CM, Bentley SD, Mungall KL, Cerdeno-Tarraga AM, Temple L, James K, Harris B, Quail MA, Achtman M, Atkin R, Baker S, Basham D, Bason N, Cherevach I, Chillingworth T, Collins M, Cronin A, Davis P, Doggett J, Feltwell T, Goble A, Hamlin N, Hauser H, Holroyd S, Jagels K, Leather S, Moule S, Norberczak H, O'Neil S, Ormond D, Price C, Rabbinowitsch E, Rutter S, Sanders M, Saunders D, Seeger K, Sharp S, Simmonds M, Skelton J, Squares R, Squares S, Stevens K, Unwin L, Whitehead S, Barrell BG, Maskell DJ: Comparative analysis of the genome sequences of Bordetella pertussis, Bordetella parapertussis and Bordetella bronchiseptica. Nat Genet. 2003, 35: 32-40. 10.1038/ng1227.PubMedView ArticleGoogle Scholar
- Chain P, Lamerdin J, Larimer F, Regala W, Lao V, Land M, Hauser L, Hooper A, Klotz M, Norton J, Sayavedra-Soto L, Arciero D, Hommes N, Whittaker M, Arp D: Complete genome sequence of the ammonia-oxidizing bacterium and obligate chemolithoautotroph Nitrosomonas europaea. J Bacteriol. 2003, 185: 2759-2773. 10.1128/JB.185.9.2759-2773.2003.PubMedPubMed CentralView ArticleGoogle Scholar
- Simpson AJ, Reinach FC, Arruda P, Abreu FA, Acencio M, Alvarenga R, Alves LM, Araya JE, Baia GS, Baptista CS, Barros MH, Bonaccorsi ED, Bordin S, Bove JM, Briones MR, Bueno MR, Camargo AA, Camargo LE, Carraro DM, Carrer H, Colauto NB, Colombo C, Costa FF, Costa MC, Costa-Neto CM, Coutinho LL, Cristofani M, Dias-Neto E, Docena C, El-Dorry H, Facincani AP, Ferreira AJ, Ferreira VC, Ferro JA, Fraga JS, Franca SC, Franco MC, Frohme M, Furlan LR, Garnier M, Goldman GH, Goldman MH, Gomes SL, Gruber A, Ho PL, Hoheisel JD, Junqueira ML, Kemper EL, Kitajima JP, Krieger JE, Kuramae EE, Laigret F, Lambais MR, Leite LC, Lemos EG, Lemos MV, Lopes SA, Lopes CR, Machado JA, Machado MA, Madeira AM, Madeira HM, Marino CL, Marques MV, Martins EA, Martins EM, Matsukuma AY, Menck CF, Miracca EC, Miyaki CY, Monteriro-Vitorello CB, Moon DH, Nagai MA, Nascimento AL, Netto LE, Nhani A, Nobrega FG, Nunes LR, Oliveira MA, de Oliveira MC, de Oliveira RC, Palmieri DA, Paris A, Peixoto BR, Pereira GA, Pereira HA, Pesquero JB, Quaggio RB, Roberto PG, Rodrigues V, de M, Rosa AJ, de Rosa VE, de Sa RG, Santelli RV, Sawasaki HE, da Silva AC, da Silva AM, da Silva FR, da Silva WA, da Silveira JF, Silvestri ML, Siqueira WJ, de Souza AA, de Souza AP, Terenzi MF, Truffi D, Tsai SM, Tsuhako MH, Vallada H, Van Sluys MA, Verjovski-Almeida S, Vettore AL, Zago MA, Zatz M, Meidanis J, Setubal JC: The genome sequence of the plant pathogen Xylella fastidiosa. Nature. 2000, 406: 151-157. 10.1038/35018003.PubMedView ArticleGoogle Scholar
- Van Sluys MA, de Oliveira MC, Monteiro-Vitorello CB, Miyaki CY, Furlan LR, Camargo LE, da Silva AC, Moon DH, Takita MA, Lemos EG, Machado MA, Ferro MI, da Silva FR, Goldman MH, Goldman GH, Lemos MV, El-Dorry H, Tsai SM, Carrer H, Carraro DM, de Oliveira RC, Nunes LR, Siqueira WJ, Coutinho LL, Kimura ET, Ferro ES, Harakava R, Kuramae EE, Marino CL, Giglioti E, Abreu IL, Alves LM, do Amaral AM, Baia GS, Blanco SR, Brito MS, Cannavan FS, Celestino AV, da Cunha AF, Fenille RC, Ferro JA, Formighieri EF, Kishi LT, Leoni SG, Oliveira AR, Rosa VE, Sassaki FT, Sena JA, de Souza AA, Truffi D, Tsukumo F, Yanai GM, Zaros LG, Civerolo EL, Simpson AJ, Almeida NF, Setubal JC, Kitajima JP: Comparative analyses of the complete genome sequences of Pierce's disease and citrus variegated chlorosis strains of Xylella fastidiosa. J Bacteriol. 2003, 185: 1018-1026. 10.1128/JB.185.3.1018-1026.2003.PubMedPubMed CentralView ArticleGoogle Scholar
- da Silva AC, Ferro JA, Reinach FC, Farah CS, Furlan LR, Quaggio RB, Monteiro-Vitorello CB, Van Sluys MA, Almeida NF, Alves LM, do Amaral AM, Bertolini MC, Camargo LE, Camarotte G, Cannavan F, Cardozo J, Chambergo F, Ciapina LP, Cicarelli RM, Coutinho LL, Cursino-Santos JR, El-Dorry H, Faria JB, Ferreira AJ, Ferreira RC, Ferro MI, Formighieri EF, Franco MC, Greggio CC, Gruber A, Katsuyama AM, Kishi LT, Leite RP, Lemos EG, Lemos MV, Locali EC, Machado MA, Madeira AM, Martinez-Rossi NM, Martins EC, Meidanis J, Menck CF, Miyaki CY, Moon DH, Moreira LM, Novo MT, Okura VK, Oliveira MC, Oliveira VR, Pereira HA, Rossi A, Sena JA, Silva C, de Souza RF, Spinola LA, Takita MA, Tamura RE, Teixeira EC, Tezza RI, Trindade dos Santos M, Truffi D, Tsai SM, White FF, Setubal JC, Kitajima JP: Comparison of the genomes of two Xanthomonas pathogens with differing host specificities. Nature. 2002, 417: 459-463. 10.1038/417459a.PubMedView ArticleGoogle Scholar
- Buell CR, Joardar V, Lindeberg M, Selengut J, Paulsen IT, Gwinn ML, Dodson RJ, Deboy RT, Durkin AS, Kolonay JF, Madupu R, Daugherty S, Brinkac L, Beanan MJ, Haft DH, Nelson WC, Davidsen T, Zafar N, Zhou L, Liu J, Yuan Q, Khouri H, Fedorova N, Tran B, Russell D, Berry K, Utterback T, Van Aken SE, Feldblyum TV, D'Ascenzo M, Deng WL, Ramos AR, Alfano JR, Cartinhour S, Chatterjee AK, Delaney TP, Lazarowitz SG, Martin GB, Schneider DJ, Tang X, Bender CL, White O, Fraser CM, Collmer A: The complete genome sequence of the Arabidopsis and tomato pathogen Pseudomonas syringae pv. tomato DC3000. Proc Natl Acad Sci USA. 2003, 100: 10181-10186. 10.1073/pnas.1731982100.PubMedPubMed CentralView ArticleGoogle Scholar
- Stover CK, Pham XQ, Erwin AL, Mizoguchi SD, Warrener P, Hickey MJ, Brinkman FS, Hufnagle WO, Kowalik DJ, Lagrou M, Garber RL, Goltry L, Tolentino E, Westbrock-Wadman S, Yuan Y, Brody LL, Coulter SN, Folger KR, Kas A, Larbig K, Lim R, Smith K, Spencer D, Wong GK, Wu Z, Paulsen IT, Reizer J, Saier MH, Hancock RE, Lory S, Olson MV: Complete genome sequence of Pseudomonas aeruginosa PA01, an opportunistic pathogen. Nature. 2000, 406: 959-964. 10.1038/35023079.PubMedView ArticleGoogle Scholar
- Bell KS, Sebaihia M, Pritchard L, Holden MT, Hyman LJ, Holeva MC, Thomson NR, Bentley SD, Churcher LJ, Mungall K, Atkin R, Bason N, Brooks K, Chillingworth T, Clark K, Doggett J, Fraser A, Hance Z, Hauser H, Jagels K, Moule S, Norbertczak H, Ormond D, Price C, Quail MA, Sanders M, Walker D, Whitehead S, Salmond GP, Birch PR, Parkhill J, Toth IK: Genome sequence of the enterobacterial phytopathogen Erwinia carotovora subsp. atroseptica and characterization of virulence factors. Proc Natl Acad Sci USA. 2004, 101: 11105-1110. 10.1073/pnas.0402424101.PubMedPubMed CentralView ArticleGoogle Scholar
- Bateman A, Coin L, Durbin R, Finn RD, Hollich V, Griffiths-Jones S, Khanna A, Marshall M, Moxon S, Sonnhammer EL, Studholme DJ, Yeats C, Eddy SR: The Pfam protein families database. Nucleic Acids Res . 2004, 32: D138-D141. 10.1093/nar/gkh121.PubMedPubMed CentralView ArticleGoogle Scholar
- Letunic I, Copley RR, Schmidt S, Ciccarelli FD, Doerks T, Schultz J, Ponting CP, Bork P: SMART 4.0: towards genomic data integration. Nucleic Acids Res. 2004, 32: D142-D144. 10.1093/nar/gkh088.PubMedPubMed CentralView ArticleGoogle Scholar
- Krishnan HB: NolX of Sinorhizobium fredii USDA257, a type III-secreted protein involved in host range determination, Iis localized in the infection threads of cowpea (Vigna unguiculata [L.] Walp) and soybean (Glycine max [L.] Merr.) nodules. J Bacteriol. 2002, 184: 831-839.PubMedPubMed CentralView ArticleGoogle Scholar
- Viprey V, Del Greco A, Golinowski W, Broughton WJ, Perret X: Symbiotic implications of type III protein secretion machinery in Rhizobium. Mol Microbiol. 1998, 28: 1381-1389. 10.1046/j.1365-2958.1998.00920.x.PubMedView ArticleGoogle Scholar
- Marie C, Deakin WJ, Viprey V, Kopcinska J, Golinowski W, Krishnan HB, Perret X, Broughton WJ: Characterization of Nops, nodulation outer proteins, secreted via the type III secretion system of NGR234. Mol Plant Microbe Interact. 2003, 16: 743-751.PubMedView ArticleGoogle Scholar
- Rossier O, Van den Ackerveken G, Bonas U: HrpB2 and HrpF from Xanthomonas are type III-secreted proteins and essential for pathogenicity and recognition by the host plant. Mol Microbiol. 2000, 38: 828-838. 10.1046/j.1365-2958.2000.02173.x.PubMedView ArticleGoogle Scholar
- Bai J, Choi SH, Ponciano G, Leung H, Leach JE: Xanthomonas oryzae pv. oryzae avirulence genes contribute differently and specifically to pathogen aggressiveness. Mol Plant Microbe Interact. 2000, 13: 1322-1329.PubMedView ArticleGoogle Scholar
- Estruch JJ, Schell J, Spena A: The protein encoded by the rolB plant oncogene hydrolyses indole glucosides. EMBO J. 1991, 10: 3125-3128.PubMedPubMed CentralGoogle Scholar
- Estruch JJ, Chriqui D, Grossmann K, Schell J, Spena A: The plant oncogene rolC is responsible for the release of cytokinins from glucoside conjugates. EMBO J. 1991, 10: 2889-2895.PubMedPubMed CentralGoogle Scholar
- Young JM, Kuykendall LD, Martinez-Romero E, Kerr A, Sawada H: A revision of Rhizobium Frank with an emended description of the genus, and the inclusion of all species of Agrobacterium Conn 1942 and Allorhizobium undicola de Lajudie et al. 1998 as new combinations: Rhizobium radiobacter, R. rhizogenes, R. rubi, R. undicola and R. vitis. Int J Syst Evol Microbiol. 1889, 51: 89-103.View ArticleGoogle Scholar
- Galperin MY, Nikolskaya AN, Koonin EV: Novel domains of the prokaryotic two-component signal transduction systems. FEMS Microbiol Lett. 2001, 203: 11-21. 10.1016/S0378-1097(01)00326-3.PubMedView ArticleGoogle Scholar
- Jenal U: Cyclic di-guanosine-monophosphate comes of age: a novel secondary messenger involved in modulating cell surface structures in bacteria?. Curr Opin Microbiol. 2004, 7: 185-191. 10.1016/j.mib.2004.02.007.PubMedView ArticleGoogle Scholar
- Paul R, Weiser S, Amiot NC, Chan C, Schirmer T, Giese B, Jenal U: Cell cycle-dependent dynamic localization of a bacterial response regulator with a novel di-guanylate cyclase output domain. Genes Dev. 2004, 18: 715-727. 10.1101/gad.289504.PubMedPubMed CentralView ArticleGoogle Scholar
- Zhulin IB, Taylor BL, Dixon R: PAS domain S-boxes in Archaea, Bacteria and sensors for oxygen and redox. Trends Biochem Sci. 1997, 22: 331-333. 10.1016/S0968-0004(97)01110-9.PubMedView ArticleGoogle Scholar
- Sharrock RA, Quail PH: Novel phytochrome sequences in Arabidopsis thaliana : structure, evolution, and differential expression of a plant regulatory photoreceptor family. Genes Dev. 1989, 3: 1745-1757.PubMedView ArticleGoogle Scholar
- Jiang Z, Swem LR, Rushing BG, Devanathan S, Tollin G, Bauer CE: Bacterial photoreceptor with similarity to photoactive yellow protein and plant phytochromes. Science. 1999, 285: 406-409. 10.1126/science.285.5426.406.PubMedView ArticleGoogle Scholar
- Karniol B, Vierstra RD: The pair of bacteriophytochromes from Agrobacterium tumefaciens are histidine kinases with opposing photobiological properties. Proc Natl Acad Sci USA. 2003, 100: 2807-2812. 10.1073/pnas.0437914100.PubMedPubMed CentralView ArticleGoogle Scholar
- Giraud E, Fardoux J, Fourrier N, Hannibal L, Genty B, Bouyer P, Dreyfus B, Vermeglio A: Bacteriophytochrome controls photosystem synthesis in anoxygenic bacteria. Nature. 2002, 417: 202-205. 10.1038/417202a.PubMedView ArticleGoogle Scholar
- Felsenstein J: PHYLIP – Phylogeny Inference Package (Version 3.2). Cladistics. 1989, 5: 164-166.Google Scholar
- Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ: Basic local alignment search tool. J Mol Biol. 1990, 215: 403-410. 10.1006/jmbi.1990.9999.PubMedView ArticleGoogle Scholar
- Nielsen H, Brunak S, von Heijne G: Machine learning approaches for the prediction of signal peptides and other protein sorting signals. Protein Eng. 1999, 12: 3-9. 10.1093/protein/12.1.3.PubMedView ArticleGoogle Scholar
- Kall L, Krogh A, Sonnhammer EL: A combined transmembrane topology and signal peptide prediction method. J Mol Biol. 2004, 338: 1027-1036. 10.1016/j.jmb.2004.03.016.PubMedView ArticleGoogle Scholar
- Sonnhammer EL, von Heijne G, Krogh A: A hidden Markov model for predicting transmembrane helices in protein sequences. Proc Int Conf Intell Syst Mol Biol. 1998, 6: 175-82.PubMedGoogle Scholar
- Pfam FTP site. [ftp://ftp.sanger.ac.uk/pub/databases/Pfam/database_files/]
- Apweiler R, Bairoch A, Wu CH, Barker WC, Boeckmann B, Ferro S, Gasteiger E, Huang H, Lopez R, Magrane M, Martin MJ, Natale DA, O'Donovan C, Redaschi N, Yeh LS: UniProt: the Universal Protein knowledgebase. Nucleic Acids Res. 2004, 32: D115-D119. 10.1093/nar/gkh131.PubMedPubMed CentralView ArticleGoogle Scholar
- NCBI BLAST. [http://www.ncbi.nlm.nih.gov/BLAST/]
- Expasy tools. [http://ca.expasy.org/tools/#similarity]
- PseuodoDB. [http://pseudo.bham.ac.uk/]
- Zmasek CM, Eddy SR: ATV: display and manipulation of annotated phylogenetic trees. Bioinformatics. 2001, 17: 383-384. 10.1093/bioinformatics/17.4.383.PubMedView ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.