The plant growth-promoting bacterium (PGPB) Pseudomonas sp. UW4, previously isolated from the rhizosphere of common reeds growing on the campus of the University of Waterloo, promotes plant growth in the presence of different environmental stresses, such as flooding, high concentrations of salt, cold, heavy metals, drought and phytopathogens. In this work, the genome sequence of UW4 was obtained by pyrosequencing and the gaps between the contigs were closed by directed PCR. The P. sp. UW4 genome contains a single circular chromosome that is 6,183,388 bp with a 60.05% G+C content. The bacterial genome contains 5,423 predicted protein-coding sequences that occupy 87.2% of the genome. Nineteen genomic islands (GIs) were predicted and thirty one complete putative insertion sequences were identified. Genes potentially involved in plant growth promotion such as indole-3-acetic acid (IAA) biosynthesis, trehalose production, siderophore production, acetoin synthesis, and phosphate solubilization were determined. Moreover, genes that contribute to the environmental fitness of UW4 were also observed including genes responsible for heavy metal resistance such as nickel, copper, cadmium, zinc, molybdate, cobalt, arsenate, and chromate. Whole-genome comparison with other completely sequenced Pseudomonas strains and phylogeny of four concatenated “housekeeping” genes (16S rRNA, gyrB, rpoB and rpoD) of 128 Pseudomonas strains revealed that UW4 belongs to the fluorescens group, jessenii subgroup.
Citation: Duan J, Jiang W, Cheng Z, Heikkila JJ, Glick BR (2013) The Complete Genome Sequence of the Plant Growth-Promoting Bacterium Pseudomonas sp. UW4. PLoS ONE 8(3): e58640. https://doi.org/10.1371/journal.pone.0058640
Editor: Mark Willem John van Passel, Wageningen University, Netherlands
Received: October 25, 2012; Accepted: February 5, 2013; Published: March 13, 2013
Copyright: © 2013 Duan et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: Funding for this study was provided by the Natural Science and Engineering Research Council of Canada. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Pseudomonas is one of the most diverse and prevalent genera that are present in all natural environments. P. sp. UW4 is a well-studied PGPB that was isolated from the rhizosphere of reeds in Waterloo, Ontario . This strain has the ability to utilize 1-aminocyclopropane-1-carboxylate (ACC) as a sole source of nitrogen and promote canola seedling root elongation in growth pouches under gnotobiotic conditions .
Strain UW4 was originally designated Pseudomonas sp. on the basis of growth on Pseudomonas Agar F (PAF) selective medium and siderophore production. Subsequently, the bacterium was designated as Enterobacter cloacae UW4 based on the results of fatty acid analysis . However, after sequencing a partial 16S ribosomal RNA gene from UW4, the data indicated that this strain is Pseudomonas putida , and the genus and species were further confirmed by thorough detailed metabolic profiling (MicroLog System, Release 4.0).
In 1998, the gene encoding ACC deaminase was isolated from UW4. When the ACC deaminase gene of UW4, and its upstream DNA sequence, was introduced into Escherichia coli DH5α, P. putida ATCC 17399 or Pseudomonas fluorescens ATCC 17400, the gene was expressed and the transformants were able to promote canola seedling root elongation . Furthermore, when the acdS gene in UW4 was disrupted, the strain lost its capability to promote root elongation . The gene upstream of acdS and the intergenic region between the two genes are involved in a complex mode of transcriptional regulation –.
Subsequently, a number of studies focused on the impact of the acdS gene of UW4 on plant growth in the presence of different environmental stresses. For example, when the acdS gene and its regulatory region was introduced into a biocontrol strain, P. fluorescens strain CHA0, the transformed strain showed improved ability to protect cucumber against Pythium damping-off, and potato tubers against Erwinia soft rot . Furthermore, transgenic tomato plants expressing the UW4 ACC deaminase showed reduced symptoms of Verticillium wilt . In the presence of heavy metals including Cd, Co, Cu, Mg, Ni, Pb, and Zn, ACC deaminase-producing tomato and canola plants showed less deleterious effects of the metals on plant growth compared to the non-transgenic plants –. In another study, under flood conditions, tomato plants inoculated with UW4’s acdS-containing bacterial strains showed a significant tolerance to flooding stress . In addition, UW4 has been shown to enhance plant growth in the presence of flooding , heavy metals , cold , high concentrations of salt , and phytopathogens –.
In an effort to better understand the interaction between plants and free-living PGPB, the proteomes of wild type UW4 and its acdS minus mutant were investigated upon treatment with canola root exudates . Furthermore, when UW4 was exposed to 2 mM Ni, bacterial proteins involved in heavy metal detoxification such as stress adaptation, anti-oxidative stress, and heavy metal efflux proteins were up-regulated significantly . More recently, Cheng et al.  analyzed the protein expression profile of canola plants inoculated with UW4 or its acdS minus mutant under salinity stress. As expected, many of the differentially expressed proteins in the plants are related to salt stress tolerance. Moreover, it was observed that the enzyme ACC deaminase played an important role in the salt response of canola plants. For example, the expression of proteins involved in photosynthesis decreased to a lesser extent if the plants were treated with wild type UW4 prior to salt exposure, and the plants were healthier due to the lowered stress ethylene levels .
In 2009, a proteome reference map of UW4 was published , representing 275 different UW4 proteins. Although this map represents only ∼5% of the total number of proteins synthesized by UW4, it should facilitate future proteomic studies with this bacterium.
Here, we report the complete genomic sequence of UW4. Based on the phylogeny of whole genome and concatenated four “housekeeping” genes, the name of the organism has been changed back to P. sp. UW4. Knowing the complete genome sequence of UW4 will help unravel the complex biological mechanisms that UW4 uses to promote plant growth. The genome analyses will provide a fundamental basis for future studies towards fully understanding the functioning of this organism. Furthermore, comparisons among the completely sequenced Pseudomonas genomes will help to determine the pan and core-Pseudomonas genome, and offer insights into evolutionary changes between Pseudomonas spp.
Results and Discussion
General Genome Features
The genome of P. sp. UW4 has a single circular chromosome of 6,183,388 bp (Figure 1) and an average G+C content of 60.05% (Table 1). The genome contains 5,423 predicted CDSs with an average length of 995 bp. Among these CDSs, 4378 (80.7%) genes could be classified into COG families composed of 22 categories (Table 2). Twenty genes were assigned pseudogenes due to missing an N- and/or C-terminus, or frameshift mutation (Table S1). Coding regions cover 87.2% of the whole genome. Biological roles were assigned to 4,158 (76.7%) genes of the predicted coding sequences based on similarity searches and experimental evidence. The remaining coding sequences were classified as proteins with unknown function. Among the 1265 (23.3%) CDSs with unknown function, 132 hypothetical proteins had no identifiable counterpart when searched against protein databases using a cutoff E value of 10−5, indicating putative unique genes present in UW4 that have not yet been reported for other organisms. A total of seven rRNA operons including eight 5S rRNAs, seven 16S rRNAs, and seven 23S rRNAs are present on the chromosome. In addition, 72 tRNA genes that represent all 20 amino acids, and a tRNA for selenocysteine, were identified.
From the outside in, the outer black circle shows the scale line in Mbps; circles 2 and 3 represent the coding region with the colors of the COG categories; circle 4 and 5 show tRNA (green) and rRNA (red), respectively; circle 6 displays the IS elements (blue); circle 7 shows the genomic islands (orange); circle 8 represents mean centered G+C content (bars facing outside-above mean, bars facing inside-below mean); circle 9 shows GC skew (G−C)/(G+C). GC content and GC skew were calculated using a 10-kb window in steps of 200 bp.
The chromosome of P. sp. UW4 displays two clear GC skew transitions, which corresponds with its oriC and terminus (Figure 1). The oriC site contains nine conserved DnaA-binding boxes (TTATCCACA and closely related sequences) – and is located between the rpmH and the dnaA genes.
Nineteen putative GIs were identified by IslandViewer, which integrates two prediction methods IslandPath (DNA composition comparison)  and SIGI-HMM (codon usage)  (Figure 2 and Table S2). The size of the 19 putative islands ranged from 4,144 bp (GI 15) to 25,665 bp (GI 7). The largest GI 7 contains 24 genes, whereas the smallest GI 15 has 6 genes (Table S2). Eighteen GIs have a lower GC content ranging from 40.33% to 58.82% compared with the average GC content of the UW4 genome. GI 11 has a GC content of 63.92%, which is higher than the average GC content of the UW4 genome. It contains 5 genes and two of them (PputUW4_02598 and PputUW4_02599) showed high similarities (88% and 84% at the amino acid level) with those in the predicted GIs of P. fluorescens Pf0-1. Among the 19 GIs, six contain mobile genetic elements, such as integrase and transposase genes, suggesting that these GIs can self-mobilize . The 3′ ends of tRNAs have been suggested to be hot spots for foreign DNA integration . In UW4, GI 4 and GI 15 are inserted adjacent to the 3′ ends of tRNA-Leu and tRNA-Val, respectively, which support the identification of these two GIs.
The outer black circle shows the scale line in Mbps. Predicted genomic islands are colored based on the following methods: SIGI-HMM, orange; IslandPath-DIMOB, blue; Integrated detection, red. Black plot represents the GC content (%).
The genome of P. sp. UW4 has 31 complete putative Insertion Sequence (IS) elements and 5 truncated remnants of IS elements (Table S3). Among the complete IS elements, sixteen belong to the IS110 family, seven from the IS1182 family and eight from the IS3 family. No intact prophages were observed in the genome of UW4, nevertheless, UW4 carries 19 phage related genes (Table S4).
One hundred and eighty two tandem repeats were identified in the P. sp. UW4 genome (Table S5). Among the 182 repeats, 122 were found in the coding region, which may cause changes in protein expression. Sixty repeats were observed in the non-coding region, which may act as promoter components of downstream genes or transcription terminators of upstream genes –.
In order to elucidate the protein function of the 5423 coding sequences (CDS), protein localization prediction was performed. The results indicate that UW4 consists of 2507 (46.2%) cytoplasmic proteins, 1258 (23.2%) cytoplasmic membrane proteins, 176 (3.2%) periplasmic proteins, 115 (2.1%) outer membrane proteins, and 42 (0.9%) extracellular proteins. The remaining 1325 (24.4%) CDSs have unknown localization.
Genes Involved in Plant Growth Promotion and P. sp. UW4 Lifestyle
The ACC deaminase gene, acdS (PputUW4_04154), and its upstream regulatory gene, acdR (PputUW4_04155), were characterized previously , , . The UW4 genome sequencing confirmed the presence of both genes as well as the intergenic sequences between the two genes. Interestingly, a tRNA-Arg gene was found 3,138 bp downstream of acdR and tRNA-Arg is one of tRNA genes that are preferentially used for insertion of GI . Therefore, it is possible that the region of the genome that encodes acdS and acdR was acquired from other genera by horizontal gene transfer, which is in concert with previous findings . However, this region was not identified as a GI by automatic prediction using IslandViewer.
A BLAST search of ACC deaminase genes in 20 other sequenced Pseudomonas genomes (Table 3) indicated that it is present in P. brassicacearum NFM421, P. syringae DC3000, P. syringae B728a, and P. syringae 1448A. Pairwise amino acid sequence identities between UW4 acdS and the other four genomes range from 89% to 99%, and they all contain the important active sites , suggesting that the putative acdS gene in those genomes is likely functional. Furthermore, the common acdS regulatory gene, acdR, was found immediately upstream of acdS in all five genomes, and the amino acid sequence identities between UW4 acdR and the other four genomes range from 80% to 93%. This type of acdS regulation scheme has been observed in many bacteria and was proposed as a main feature of the functioning of bacterial ACC deaminase .
Siderophore production is a typical characteristic possessed by fluorescent pseudomonads. P. sp. UW4 fluoresces under UV light, implying the production of pyoverdine siderophore. In the UW4 genome, putative genes associated with pyoverdine synthesis are shown in Table S6 and Figure S1. The pvdF gene for the type I pyoverdine found in P. aeruginosa is absent in UW4. This gene encodes a transformylase responsible for the formation of N5-formyl-N5-hydroxyornithine from N5-hydroxyornithine . However, in UW4, a gene encoding hydroxyornithine acetylase, pvdYII, was found. The gene product of pvdYII can convert N5-hydroxyornithine to N-hydroxy-cyclo-ornithine, resulting in the production of type II pyoverdine in P. aeruginosa  (Figure S2). Amino acid sequence alignment of PvdYII from UW4 and P. aeruginosa Pa4 (ABC55668) showed that the two proteins share 70% identities and 79% similarities, and that conservation occurs to the greatest extent at the C-terminus.
Among the other 20 sequenced Pseudomonas genomes, only P. stutzeri A1501 does not have the genes for siderophore biosynthesis, and it also has the smallest genome compared to the other 20 species, suggesting loss of functions in A1501 . Compared with UW4, 11 genomes contain a gene encoding PvdYII including P. putida KT2440 (locus_tag: PP_4245), P. putida BIRD-1 (PPUBIRD1_1611), P. putida F1 (Pput_1682), P. putida GB-1 (PputGB1_3811), P. putida W619 (PputW619_3564), P. putida S16 (PPS_3636), P. brassicacearum NFM421 (PSEBR_a1665), P. entomophila L48 (PSEEN_1813), P. fluorescens Pf0-1 (Pfl01_3942), P. mendocina NK-01 (MDS_1799), P. aeruginosa PA7 (PSPA7_2826), indicating these species likely produce type II pyoverdine since this gene was only observed in the strains of P. aeruginosa that make type II pyoverdine –. However, the precise structure of the siderophore needs to be confirmed experimentally.
In P. protegens Pf-5, genes responsible for pyoverdine as well as pyochelin were identified. The genes required for pyoverdine synthesis are located in three clusters whereas genes necessary for pyochelin synthesis are present in a single cluster . In P. entomophila L48, two gene clusters of pyoverdine synthesis are present, which exhibits similar organization compared with that found in other fluorescent pseudomonads. In addition, one gene cluster related to acinetobactin was observed on the chromosome, and it contains a salicylamide moiety . P. syringae DC3000 produces two types of siderophores, pyoverdine and yersiniabactin, and in both cases the required genes are present in a single cluster . P. syringae B728a also secretes two types of siderophores. The first type is pyoverdine, and as in DC3000, the determinants are located in one gene cluster. The second type is achromobactin, which is a citrate siderophore produced by Pectobacterium chrysanthemi and Escherichia carotovora pv. atroceptica . The ability of bacteria to produce multiple siderophores surely benefits these organisms, as they may function in different environments, making them more competitive against other organisms in the same niche.
Although many bacteria are able to synthesize IAA, the amounts produced vary significantly between strains. Depending on the concentration, bacterially produced IAA can either stimulate or inhibit plant growth. It was demonstrated previously that P. sp. UW4 actively produces the phytohormone IAA . Here, two potential IAA biosynthesis pathways, the indole-3-acetamide (IAM) and indole-3-acetonitrile (IAN) pathways, were identified in the genome of UW4, and 6 genes might be involved (Figure S3). However, the indole-3-pyruvate pathway, which was identified in another PGPB, Pseudomonas putida GR12-2 , is absent in UW4. In the IAM pathway, tryptophan is converted to IAM by tryptophan 2-monooxygenase (PputUW4_04962) and then to IAA by amidase (PputUW4_03350). In the IAN pathway, tryptophan is converted to indole-3-acetaldoxime and then to IAN by indoleacetaldoxime dehydratase (PputUW4_03348). Next, IAA can be produced directly through IAN by nitrilase (PputUW4_02461). Alternatively, IAN can be first converted to IAM by nitrile hydratase (PputUW4_03351 and PputUW4_03352), and then IAM is converted to IAA by amidase (PputUW4_03350). Future work will involve an experimental confirmation of the putative functions of the above-mentioned genes in IAA biosynthesis.
A search of the sequenced Pseudomonas genomes for UW4-like IAA pathway associated genes revealed the presence of 6 orthologous genes in P. fluorescens SBW25 and P. putida F1, suggesting similar IAA synthesis pathways compared to UW4. P. putida BIRD-1 has 5 homologs that complete the IAM and IAN pathways, but it lacks the gene encoding nitrilase (PputUW4_02461).
Many studies have shown that numerous bacterial strains possess multiple IAA synthesis pathways. Besides the above-mentioned strains, it has been observed that putative tryptamine and IAM pathways are present in P. putida W619, GB-1, and F1 . Therefore, to study the role of each gene in IAA biosynthesis of a particular bacterium it is necessary to construct a large number of mutants, single or multiple, and test the function of each one.
Trehalose is a non-reducing disaccharide of glucose whose two glucose moieties are linked by an α,α-1,1-glycosidic bond. It functions as an osmoprotectant in the stabilization of biological structures including dehydrated enzymes, proteins and lipids under environmental stresses such as drought, high salinity and low temperature in a wide range of organisms, i.e. bacteria, archaea, fungi, invertebrates, insects and plants. In transgenic rice, trehalose improves the plant’s abiotic stress tolerance . In another study, when maize plants were inoculated with a strain of Azospirillum brasilense transformed to overexpress trehalose, 85% of the plants survived drought stress, whereas only 55% of the plants inoculated with the non-transformed strain survived. Furthermore, a 73% increase in the biomass of maize plants was obtained when the plants were inoculated with the transformed strain . In bacteria, five trehalose biosynthetic pathways are known including OtsA/OtsB, TreS, TreY/TreZ, TreP, and TreT . In the genome of UW4, two trehalose synthesis pathways, TreS and TreY-TreZ pathways, were identified. The TreS pathway involves the conversion of maltose to trehalose by trehalose synthase (TreS) (PputUW4_02800). In the TreY-TreZ pathway, maltodextrin is first converted to maltooligosyltrehalose by maltooligosyltrehalose synthase (TreY) (PputUW4_02792), and then to trehalose by maltooligosyltrehalose trehalohydrolase (TreZ) (PputUW4_02790). When searching the orthologs in the other Pseudomonas genomes, all 20 species contain the genes involved in those two trehalose synthesis pathways, and they are organized in a similar way, indicating the ubiquity and importance of this sugar. In addition, P. stutzeri A1501 has a third trehalose synthesis pathway, OtsA/OtsB, which is the most widespread pathway present in both eukaryotes and prokaryotes, and this may further contribute to its survival under different environmental stresses.
Acetoin is volatile compound released from certain PGPB, which can promote plant growth by stimulating root formation . In the genome of UW4, genes involved in acetoin production were identified, including acetolactate synthase (PputUW4_04612 and PputUW4_04613) and zinc-containing alcohol dehydrogenase (PputUW4_03046). However, acetoin reductase that is responsible for the conversion of acetoin to 2,3-butanediol is absent from the UW4 genome.
When the genomes of the other Pseudomonas were examined for acetoin synthesis, the same pathway was observed in all 20 species, although the enzyme that catalyzes the last step could not be determined definitely due to ambiguous annotations.
Antimicrobial compounds and antibiotics resistance.
It was reported that 4-hydroxybenzoate has antimicrobial activity and its biosynthesis pathway was found in the genome of several PGPB, such as Pseudomonas protegens Pf-5 , Enterobacter sp. 638  and Mesorhizobium amorphae . In bacteria, 4-hydroxybenzoate is formed from chorismate directly by chorismate lyase encoded by ubiC. A search for the gene ubiC in Pseudomonas genomes determined that it was present in all 21 species including UW4 (PputUW4_05351), suggesting 4-hydroxybenzoate synthesis is a common pathway in Pseudomonas spp.
Antibiotic susceptibility testing of UW4 has shown that it is resistant to ampicillin (128 µg/ml), erythromycin (64 µg/ml), and novobiocin (256 µg/ml). Two genes that encode β-lactamase were found in the UW4 genome (PputUW4_01223 and PputUW4_01636), which may confer the ampicillin resistance of the strain. One gene that encodes macrolide glycosyltransferase (PputUW4_03146) was identified; the product of this gene can glycosylate and inactivate macrolide antibiotics such as erythromycin . Novobiocin is produced by Streptomyces and this antibiotic’s target is DNA gyrase subunit B –. There are two mechanisms used by bacteria to inhibit novobiocin activity. One strategy is through the mutation of the gyrase B (gyrB) subunit gene . For example, Streptomyces sphaeroides has two gyrB genes and one is novobiocin sensitive, which is constitutively produced, and the other one is novobiocin resistant, which is induced by the drug . The second strategy of novobiocin resistance is through the use of multidrug efflux pumps . P. sp. UW4 has a single gyrB gene (PputUW4_00004) in its genome. The product of this gene has not been characterized to determine if it is novobiocin sensitive or resistant. On the other hand, multiple multidrug efflux systems have been identified in the UW4 genome based on sequence similarity search, which may play an important role in novobiocin resistance (Table S7).
Polyhydroxyalkanoates (PHAs) are a group of metabolic energy and carbon storage compounds that are deposited as intracellular water-insoluble granules in many living organisms during imbalanced growth conditions . PHAs extracted from bacteria can be used as alternative starting materials to petrochemical in the synthesis of plastics because they are biodegradable and environmentally friendly . Furthermore, bacteria can accumulate PHAs to levels as high as 90% (w/w) of the dry cell mass, making them potential candidates for the large-scale production of PHAs . Recently, it has been reported that PHA production played an important role in cold adaptation of an Antarctic bacterium Pseudomonas sp. 14-3, likely by alleviating the oxidative stress induced by cold environments . Thus, the PHA synthase-minus mutant of Pseudomonas sp. 14-3 could not grow at 10°C and was more susceptible to freezing than the wild-type strain. In addition, cold shock treatment caused rapid degradation of PHA in the wild-type strain .
The genes involved in PHA synthesis are found in many Pseudomonas sp. such as P. putida KT2440, P. putida GPo1, P. aeruginosa PAO1, P. fluorescens Pf0-1, P. protegens Pf-5, P. syringae pv phaseolicola, and P. syringae DC3000 . The gene cluster typically contains six genes including phaC1, phaZ, phaC2, phaD, phaF, and phaI. The order of the six genes is highly conserved (phaC1ZC2DFI) in the above-mentioned strains and was also observed in UW4 (PputUW4_00333–00328). The gene phaC encodes the key enzyme, PHA synthase or PHA polymerase, for the biosynthesis of PHA. The PhaC1 and PhaC2 belong to the class II PHA synthases that preferentially use 3-hydroxyalkanoates consisting of 6–14 carbons as substrates, and the class II PHA synthases are primarily found in Pseudomonas spp. The phaZ gene encodes a depolymerase that is responsible for PHA degradation. The gene product of phaD is a transcriptional regulator that positively regulates the expression of the downstream genes, phaI and phaF, which code for phasins . When this pha gene cluster was searched against the other Pseudomonas genomes, orthologs were found to be absent in P. syringae pv. syringae B728a. In addition, the genome of P. stutzeri A1501 contains a gene cluster different from phaC1ZC2DFI, designated phaCABR that is responsible for poly-hydroxybutyrate (PHB) synthesis . In the genome of UW4, a second phaC1 gene was identified (PputUW4_02300). Compared with the phaC1 in the pha gene cluster, the second phaC1 showed 69% identities and 83% similarities. It is likely that the redundant phaC1 gene also contributes to the production of PHA in UW4, however this has to be confirmed experimentally.
Degradation of aromatic compounds.
In polluted environments, P. putida strains are often isolated as predominant microorganisms and are therefore commonly used in bioremediation. Aromatic compounds are among the most abundant and recalcitrant pollutants in the soil and their degradation by bacteria usually involves ring-cleavage in the presence of O2 by oxygenase . For example, the toluene degradation pathway in P. putida F1 is composed of the toluene dioxygenase operon todABC1C2DE . However, this toluene degradation pathway is absent in all of the other 20 Pseudomonas sp., as well as UW4. In the genome of P. putida W619, the genes involved in 3-HPP were identified previously, and the complete pathway includes the enzymes encoded within the mhpRABCDFET operon (Wu et al. 2011). Nevertheless, this pathway seems unique in this strain because in the other 20 Pseudomonas genomes, it is either absent or incomplete, such as in P. putida F1  and UW4 (five putative enzyme-encoding genes, mhpACDFE, were found) (PputUW4_02144, PputUW4_01659–01662). In the genome of UW4, a complete degradation pathway of benzoate via the catechol route of the β-ketoadipate pathway was identified. In addition, the protocatechuate branch of the β-ketoadipate pathway is also present. Protocatechuate is one of the key intermediates during the degradation of various aromatic compounds, including 4-hydroxybenzoate and quinate . Since this pathway is considered to be one of the central pathways for the catabolism of aromatic compounds in Pseudomonas spp., its presence is ubiquitous in the completely sequenced Pseudomonas genomes.
Heavy metal resistance.
Based on the genome sequence of P. sp. UW4, various heavy metal resistance determinants were identified (Table S8). It has been shown that UW4 can grow in rich medium containing 2 mM nickel at a growth rate of 0.24 generations/hour . As expected, putative nickel transporters were found in the UW genome. The genes encoding the transporters showed similarities to the Nik system (nikABCDER) that was originally identified in E. coli. In the genome of UW4, the locus of the Nik system contains three copies of NikA (PputUW4_00743, 00745, 00746) and a single copy of NikB (PputUW4_00742), NikC (PputUW4_00741), NikD (PputUW4_00740), and NikE (PputUW4_00739). However, based on a sequence similarity search, NikR, a nickel-responsive regulator, is not encoded in the UW4 genome.
Sixteen genes that might be involved in the copper resistance of UW4 were identified (Table S8). These 16 genes are located at six regions on the chromosome, including three copper resistance systems in UW4, two individual sets of two-component transcriptional regulators, and one gene that might be involved in the bacterium’s survival in the presence of high bioavailable Cu(II). The first region contains three genes (PputUW4_00578, 00579, 00581), resembling the CueAR-CopP in P. putida PNL-MK25, which has been experimentally confirmed to play an important role in copper homeostasis . The second region related to copper resistance contains four genes (PputUW4_03484–03487). The homologs for the four genes are designated copABCD . CopA is a multi-copper oxidase family protein . CopB is a protein involved in copper binding. The gene encoding CopC is similar to periplasmic proteins involved in copper resistance, and the last gene in the operon is copD, which encodes a copper transport protein. The third copper resistance locus consists of four genes, cinQARS (PputUW4_03498–03501). The gene cinQ encodes a putative 7-cyano-7-deazaguanine (pre-Q0) reductase, and cinA encodes a putative copper-containing azurin-like protein. The gene products of the cinRS operon are a two-component heavy metal response transcriptional regulator (CinR) and a heavy metal sensor histidine kinase (CinS). Sequence analysis of the two sets of two-component transcriptional regulators PputUW4_02046–02047 and PputUW4_04493–04494 showed similarities compared with CopRS in P. putida KT2440. The copR gene encodes a two-component heavy metal response transcriptional regulator and copS encodes a heavy metal sensor signal transduction histidine kinase. Lastly, a protein that might be involved in bacterial survival in the presence of high bioavailable Cu(II) was identified in the genome of UW4 (PputUW4_02449). A sequence similarity search showed that it has high similarities compared with CopG1 and CopG2 in KT2440. Both copG1 and copG2 are located within copper resistance operons in KT2440. However, this is not observed in the UW4 genome.
Besides nickel and copper, P. sp. UW4 may possess resistance to other heavy metals, such as cadmium, zinc, cobalt, molybdenum, chromate, and arsenate. Two genes, cadA1 (PputUW4_05166) and cadR (PputUW4_05167), involved in cadmium resistance were identified. The gene cadA is known to encode a cadmium-transporting ATPase, and CadR is a MerR family response regulator responsible for cadmium resistance. In the genome of UW4, another cadA gene (PputUW4_05407) was identified based on a sequence similarity search. However, when comparing the amino acid sequence of the PputUW4_05407 to CadA from P. putida 06909, the identities and similarities are only 36% and 52%, respectively. Furthermore, PputUW4_05407 lacks the HMA domain at N terminus. Therefore, the function of CadA in UW4 needs to be confirmed experimentally.
Zinc is an essential trace element that acts as a cofactor for many enzymes. However, high concentrations of zinc are toxic to the cell. Bacteria employ different strategies to control zinc levels, including storage by metallothionein and export from the cell by ABC transporter systems . In the genome of UW4, a putative metallothionein was identified (PputUW4_01616). In addition, a common zinc transporter system is also present in UW4. The system consists of three genes znuABC (PputUW4_00067, 00064, 00065) and one transcriptional repressor zur (PputUW4_00066). The gene products of znuABC are a periplasmic binding protein, a membrane permease, and an ATPase, respectively. The gene zur is located between znuA and znuC, and is transcribed in the same orientation as znuBC, but in the opposite direction from znuA.
The molybdate transport system in P. sp. UW4 is comprised of three genes, modABC (PputUW4_02399, 02398, 02397). ModA is a periplasmic binding protein; ModB is an integral membrane protein; and ModC is an ATPase. In E. coli, the modABC expression is tightly controlled by a repressor protein, ModE, and the gene is located upstream of modABC operon . In the genome of UW4, a homolog of ModE is not present upstream of the molybdate transport system. However, a ModE family transcriptional regulator (PputUW4_04985) is found elsewhere on the chromosome.
One cobalt transporter locus comprising two genes, cbtA (PputUW4_02359) and cbtB (PputUW4_02360) was identified in the genome of UW4. This transport system has been found in various bacteria and it is related to vitamin B12 biosynthesis. Homologs of CbtA usually have five transmembrane segments, and the gene is always co-localized with cbtB, which encodes one transmembrane segment and a histidine-rich C terminus likely to be a metal-binding site .
Arsenic ions are very toxic to most microbes and are common environmental pollutants. Arsenic resistance determinants were found in three regions on the chromosome of UW4, including an operon arsRBCH (PputUW4_02251–02248), and two individual arsC genes (PputUW4_01082 and PputUW4_04117). The gene product of arsC is an arsenate reductase that catalyzes the reduction of arsenate to arsenite. ArsB is an arsenite efflux transporter, which can extrude arsenite out of the cell. ArsR functions as an arsenical resistance operon repressor that responds to arsenate . ArsH is a NADPH-dependent FMN reductase and its role in arsenic resistance is not clear . The other two individual ArsC proteins showed far less similarity compared with the ArsC in the operon, implying that they belong to different families of arsenate reductase.
The mechanism used by various bacteria to extrude toxic chromate is through a chromate transporter, ChrA –. A gene encoding ChrA was identified in the UW4 genome (PputUW4_03067), and the protein sequence of ChrA in UW4 showed 75.8% identities when compared with the gene from strain KT2440. In another study, a small protein, OscA, was found to be responsible for chromate resistance in Pseudomonas corrugata 28 . In the genome of UW4, an oscA homolog (PputUW4_00153) was found upstream of a sulfate-binding protein gene (cysP), which has been demonstrated to form a transcriptional unit with oscA . The genetic organization of the oscA region is exactly the same as this region in P. corrugata 28, indicating that the oscA gene from UW4 may also play an important role in chromate resistance.
Central metabolic pathways.
A schematic summary of the metabolic strategies in P. sp. UW4 is shown in Figure 3. The genome of P. sp. UW4 contains a complete central carbon metabolism pathway including glycolysis/gluconeogenesis, a tricarboxylic acid (TCA) cycle with glyoxylate bypass, and a pentose phosphate pathway (PPP).
Individual pathways are denoted by single-headed arrows, while reversible pathways are denoted by double-headed arrows.
Metabolism of sulfur in UW4 involves assimilation of inorganic sulfate and mineralization of organic sulfonates. Inorganic sulfate or thiosulfate is transported into the cell by an ABC-type transporter including a periplasmic binding protein, Sbp (PputUW4_03826) for sulfate or CysP (PputUW4_00154) for thiosulfate, permease CysT and CysW, and an ATPase CysA. Sulfate and thiosulfate use the same permease components and ATPase for transport. Once in the cell, sulfate is activated to adenosine-5′-phosphosulfate (APS) by sulfate adenylyltransferase, CysDN (PputUW4_00795, 00796), and then to sulfite by phosphoadenosine phosphosulfate reductase, CysH (PputUW4_03665). Sulfite is further reduced to sulfide by sulfite reductase, CysI (PputUW4_02350). This sulfide then joins O-acetylserine catalyzed by cysteine synthase, CysK (PputUW4_04003) to form cysteine. In the case of thiosulfate, a gene encoding O-acetylserine sulfhydrylase, CysM (PputUW4_04107), catalyzes the reaction between thiosulfate and O-acetylserine to generate S-sulfocysteine, which is then converted to cysteine –. In the genome of UW4, six SulP family sulfate transporters were identified (PputUW4_00023, 00047, 00617, 02916, 03092, 04194). Although the role of these transporters in sulfate assimilation in bacteria is not clear, the homologs in several eukaryotes have been characterized and shown to be active components of sulfate transport, some of which function as sulfate:H+ symporters . Organosulfur compounds are widely present in nature. For example, in aerobic soils organic sulfur can make up greater than 95% of the total sulfur in the forms of peptides/amino acids, sulfonates (C-SO3H), sulfamates (C-NH-SO3H), and sulfate esters (C-O-SO3H) . Desulfonation of alkanesulfonates by UW4 is potentially catalyzed by alkanesulfonate monooxygenase, SsuD (PputUW4_05211), and an NADPH-dependent FMN reductase, SsuE (PputUW4_05213). The two genes are located within an operon, ssuEADCBF (PputUW4_05208–05213), which also includes sulfonate transporter genes, ssuABC, and a molybdenum-pterin binding protein gene, ssuF. Similar to other P. putida strains, a gene encoding the thiol-specific antioxidant, LsfA, was found upstream of ssuE. It has been demonstrated that expression of lsfA increased dramatically under sulfate starvation . Taurine is a naturally occurring aliphatic sulfonate. In the genome of UW4, two operons that each contains four genes encoding an ABC-transporter (tauABC) (PputUW4_00119–00121 and PputUW4_00198–00200) and a taurine dioxygenase (tauD) (PputUW4_00118 and PputUW4_00197) were identified. In addition, a third set of genes tauA (PputUW4_05218) and tauD (PputUW4_00894) are present in the genome. However, neither of them is associated with other tau genes. Like sulfonates, sulfate esters are components commonly present in soil. A sulfatase gene cluster that might be involved in desulfurization of aryl and alkylsulfate esters of UW4 was identified. The cluster contains seven genes, atsACBR-sftR-atsK-sftP (PputUW4_00164–00170), which encode arylsulfatase, sulfate ester transporter ATP-binding component, aliphatic sulfonates ABC transporter permease, periplasmic aliphatic sulfonates-binding protein, LysR family transcriptional regulator, alkylsulfatase, and TonB-dependent receptor, correspondingly. It has been reported that in many gram-negative bacteria a LysR-type transcriptional regulator, CysB, mediated global sulfur regulation. Under the sulfur limitation conditions, CysB activates the transcription of cysteine synthesis genes in the presence of N-acetylserine or O-acetylserine, whereas sulfide and thiosulfate function as corepressors by inhibiting the binding of CysB to the promoters of the cysteine synthesis genes –. In UW4, a gene encoding CysB was identified (PputUW4_01421) and it contains a typical helix-turn-helix motif at the N terminus for binding to the target DNA.
P. sp. UW4 is unable to fix nitrogen and it also lacks the genes for denitrification. However, it contains the genes for assimilatory nitrate reduction. Two types of nitrate transporters are present on the chromosome of UW4 including an ABC-type nitrate transporter system and a NarK family transporter NasA. The locus of the ABC transporter system contains three genes that encode a nitrate transporter periplasmic protein (PputUW4_02319), a nitrate transporter permease (PputUW4_02320), and a nitrate transporter ATP-binding protein (PputUW4_02321). NasA is located within a cluster of eight genes, nasST-nasA-ppkB-nasDEC-cobA (PputUW4_03638–03645), which is potentially involved in nitrate/nitrite assimilation. The gene nasS encodes a periplasmic nitrate-binding protein and nasT encodes a response regulator that acts as an inducer of the nas operon in response to the presence of nitrate/nitrite –. It has been shown that NasA is a nitrate transporter and a nasA mutant was unable to grow on nitrate but capable of growing on nitrite . The genes nasDEC-cobA are located within an operon and they encode assimilatory nitrite reductase (NasDE), assimilatory nitrate reductase (NasC), and uroporphyrin III methyltransferase (CobA), respectively. Uroporphyrin III methyltransferase is an enzyme responsible for siroheme synthesis and the gene was induced strongly by nitrate . Furthermore, a siroheme synthetase homolog gene mutant of Rhizobium etli was unable to grow on nitrate as the sole nitrogen source . The gene ppkB (PputUW4_03641), which is located immediately downstream of nasA, encodes a serine/threonine protein kinase. It has been demonstrated that a protein kinase carried out phosphorylation of the nitrate transporter and played an important role in nitrate deprivation response in A. thaliana and Hansenula polymorpha –.
Many soil bacteria are capable of solubilizing poorly soluble mineral phosphates by synthesizing organic acids and acid phosphatases. In the genome of UW4, the genes responsible for gluconic acid synthesis were found. The production of gluconic acid is catalyzed by glucose dehydrogenase (PputUW4_00989) and its cofactor PQQ. The PQQ biosynthetic genes of UW4 are clustered in two separate loci on the chromosome: the pqqABCDEFH (PputUW4_04964–04970) and the pqqBCDE (PputUW4_02938–02941). In addition, five putative acid phosphatase-encoding genes were identified including two phosphatidic acid phosphatase (PAP2) protein genes (PputUW4_00631, 04385), two SurE superfamily protein genes (PputUW4_01116, 01671), and one non-specific acid phosphatase gene (PputUW4_02824). However, no phytase gene is present in UW4. Inorganic phosphate uptake in UW4 may be facilitated by two high-affinity phosphate transport systems: PstBACS (PputUW4_05361–05364) and PhnDCE1E2 (PputUW4_03163–03166), and one low-affinity phosphate transport system, PitA (PputUW4_01197). The high-affinity phosphate uptake system is composed of multi-subunit ABC transporters and is induced by phosphate-starvation, whereas the low-affinity system consists of a single membrane protein and is constitutively expressed .
P. sp. UW4 has seven pontential protein secretion systems including Sec, Tat, Type I, II, III, V and VI (Table S9).
The Sec (general secretory pathway) and Tat (twin arginine translocation) systems are the two ubiquitous systems for export across the cytoplasmic membrane. UW4 has one of each such system. MscL is a large conductance mechano-sensitive channel protein and is able to export small proteins in response to osmotic pressure changes within the cell .
Type I secretion system (T1SS) consists of an outer membrane protein, an ABC transporter, and a membrane fusion protein. Three complete T1SS and their putative substrates were identified in UW4 (PputUW4_00114, 00115–00117, 01719–01722, 03950–03953). In addition, one partial T1SS containing only an ABC transporter and a membrane fusion protein was found (PputUW4_02631–02633). The putative substrate, mannuronan C-5-epimerase, is located downstream of the membrane fusion protein and is transcribed in an opposite direction. Since this system lacks the outer membrane protein, the transport mechanism of this large extracellular protein (1871 aa) is not clear.
Genes involved in the type II secretion system (T2SS) of UW4 are located mainly within one cluster consisting of two separate operons (PputUW4_03282–03290 and PputUW4_03297–03298). The first operon contains nine genes but only five can be identified as T2SS protein genes based on sequence similarities. The other four genes encode three hypothetical proteins and a fimbrial assembly protein.
A potential type III secretion system (T3SS) was observed in UW4 which consists of 26 genes, with 25 genes located in one cluster (PputUW4_03613–03637), and one gene encoding a HopJ type III effector located elsewhere (PputUW4_00807). Sequence analyses showed that the gene cluster (PputUW4_03613–03637) is highly similar to the SPI-1 found in a PGPB, P. fluorescens F113 . However, the function of the T3SS in strain F113 has not been demonstrated experimentally. T3SS was found in other PGPB as well. For example, P. fluorescens SBW25 has a 20-kb cluster containing 22 CDSs of T3SS-related genes . This system resembles the T3SS of P. syringae at the level of amino acid sequence and with respect to genomic organization. Although the wild-type SBW25 is a PGPB and does not induce a hypersensitive response (HR) in host plants, a modified strain that over-expressed the sigma factor RspL specific to T3SS did elicit HR in A. thaliana and Nicotiana clevelandii . Four other P. fluorescens strains also contain a T3SS including WH6, KD, Q8r1-96, and BBc6R8 –. WH6 seems to have a complete and functional T3SS (PFWH6_0718–0737) consisting of 20 genes, and it is highly homologous to the T3SS region of P. syringae . The T3SS of the biocontrol strain KD is also thought to originate from P. syringae. It has been demonstrated that this T3SS is functional in KD, and the T3SS mutant of KD had low biocontrol activity against Pythium ultimum on cucumber while maintaining its root-colonization ability . Similar to SBW25 and KD, the strain Q8r1-96 has a functional T3SS with a P. syringae origin. However, the genomic organization of the gene cluster is divergent from SBW25 and KD . Strain BBc6R8 is a Mycorrhiza Helper Bacterium (MHB), which promotes ectomycorrhizal symbiosis between Douglas fir roots and Laccaria bicolor . It was found that the T3SS mutants were incapable of promoting mycorrhization. Although the T3SS has been most studied in terms of bacterial pathogenicity, there is increasing evidence showing that it is actually beneficial for plant health and nutrition –. Therefore, the prescence of a T3SS in UW4 is not supprising and it will be interesting to investigate its functionality.
The type V secretion system (T5SS) of Gram-negative bacteria contains two steps: inner membrane transport via Sec pathway and outer membrane transport by a β-barrel protein. Currently, two subtypes of T5SS have been identified including the autotransporters (ATs) and the two-partner secretion system (TPS). In UW4, three putative ATs were found. One of them, estA (PputUW4_04920), possesses esterase activity and was shown to play an important role in twitching, swarming, and swimming motilities of P. aeruginosa . The other two putative ATs in UW4 encode an outer membrane autotransporter (PputUW4_02797) and an extracellular serine protease (PputUW4_00217), respectively. However, none of these have been characterized experimentally. The TPS system consists of two proteins. One protein, TpsA, has a secretion motif and a catalytic domain. The other protein, TpsB, contains the β domain involved in recruitment of the TpsA protein. Several TPS systems have been identified in Pseudomonas spp. such as P. aeruginosa PAO1, P. fluorescens Pf0-1 and P. putida KT2440 –. However, none of those systems is present in UW4.
The type VI secretion system (T6SS) was first described in Vibrio cholerae . Since then, the T6SS has been found in the genome of hundreds of bacteria, where it reportedly functions as a regulator of bacterial interactions and competition . UW4 contains one gene cluster that is associated with T6SS. The cluster is composed of twenty genes (PputUW4_03071–03090) including the core components to form the minimal apparatus. Haemolysin coregulated protein (Hcp) forms hexamers and eventually assembles as nanotubes, which are responsible for transportation of other T6SS effector proteins. Another protein, valine-glycine repeat protein (VgrG), forms a trimer and serves as a puncturing device towards the targeted cells. Structures of Hcp and VgrG indicated that they are related to the needle tail and syringe components of bacteriophage T4. TssB (Type Six Secretion B) and TssC form structures similar to the bacteriophage needle sheath, and TssE resembles the needle hub. TssM, TssL, and TssJ are three proteins anchored to the bacterial cell envelope. TssJ, an outer membrane lipoprotein, interacts with the inner membrane protein TssM, which links the inner and outer membrane, and forms a stable complex with protein TssL –.
Efficient plant growth stimulation requires effective root colonization that often relies on the bacterial cell surface structures, such as pili. Type IV pili are 5–7 nm fibers and the function is controlled by numerous genes. A total of twenty-four genes that are involved in type IV pili biosynthesis were identified on the genome of UW4 (Table S10). These genes are arranged mainly within four clusters, pilMNOPQ, pilACD, pilEXWV-fimT, pilL/chpA-pilJIHG, where the last cluster contains the genes involved in pili biosynthesis regulation.
Genome Comparisons and Phylogeny
A total of 1679 orthologous genes were identified between P. sp. UW4 and 20 other completely sequenced Pseudomonas genomes. Phylogenetic analysis of the 1679 conserved genes indicated that P. sp. UW4 has a closer relationship with P. fluorescens than with P. putida (Figure 4). The putative orthologous relations between UW4 and 20 completely sequenced Pseudomonas genomes are shown in Table S11, with P. fluorescens Pf0-1 and P. protegens Pf-5 being the top two. In addition, 71 CDSs were found in other Pseudomonas strains, whose genome sequences have not been determined (Table S12). In UW4 genome, 271 CDSs were considered as unique based on two criteria: 1. No hits to any CDS present in NCBI nr protein sequences database with a cutoff E-value of 1 E-20; 2. Identities are less than 30% and/or query/subject coverage is less than 80% (Table S13). Among the 271 CDSs, 239 have been annotated as hypothetical proteins. When comparing UW4 CDSs with those in nr database, 199 showed similarities with protein sequences in other genera only, indicating these genes probably originated from a genus outside of Pseudomonas (Table S14).
Numbers on nodes represent percentages of individual trees containing that relationship. The scale bar corresponds to the number of substitutions per site.
Comparisons of genome structure for UW4 vs completely sequenced P. fluorescens, P. protegens, and P. putida genomes are illustrated in Figure 5, with the red lines indicating individual TBLASTX matches and blue lines exhibiting inverted matches. The distribution of the genes among the Pseudomonas genomes showed that the unique genes are mostly located at the replication termini, whereas the orthologues are commonly present at the replication origin. The whole genome alignments showed extensive DNA rearrangement indicated by the blue lines, which is likely driven by repeat sequences within the genome. Moreover, the line plots revealed that genes in UW4 are more closely related to those in P. fluorescens and P. protegens than in P. putida, illustrated by the number of matches. This result is consistent with the results obtained from whole genome phylogenetic analysis.
P. protegens, and P. putida genomes. The analysis was carried out using Artemis Comparison Tool and computed using TBLASTX with a cutoff E value of 1 E-5. The red bars between the DNA lines indicate individual TBLASTX matches, and the blue lines exhibit inverted matches. The cutoff identities and alignments length are 75% and 30 amino acids, respectively.
16S rRNA gene sequences are highly conserved among the same bacterial species and are frequently used to identify and classify microorganisms. It has been observed that the number of rRNA genes in prokaryotic genomes can vary from one to as many as 15 copies and the intragenic diversity ranges from 0.06% to 20.38% . On the chromosome of UW4, seven ribosomal RNA (rrn) operons were identified. Among the seven 16S rRNA genes, three were found to have identical sequences (i.e., RNAs 3, 4 and 6). A ML phylogenetic tree was constructed for the unique 16S rRNA genes of Pseudomonas genomes (Figure 6). Although the 16S rRNA genes of UW4 are grouped with those of P. putida, the node support is only 0.45, indicating low confidence for the classification.
Nodal support was evaluated by aLRT. Different species are shown in different colors. Only unique sequences from each genome were included for this analysis.
Additional analysis was conducted using the four concatenated housekeeping genes (16SrRNA, gyrB, rpoD and rpoB) of 128 Pseudomonas strains (Table 3 and Table S15) . The phylogenetic tree revealed that UW4 fell into P. fluorescens group, jessenii subgroup (Figure 7). However, within the jessenii subgroup, the complete genome sequences of the other six species are not available.
Dendrogram was generated by neighbor-joining and distance matrix was calculated by the Jukes-Cantor algorithm. The bar at the bottom indicates sequence divergence. Nodal support was evaluated with 1000 bootstrap pseudoreplications and values of greater than 50% are shown at the nodes.
Whole genome phylogenetic analysis suggested that UW4 is closer to fluorescens than to putida. However, 16S rRNA gene phylogeny of completely sequenced Pseudomonas genomes showed that UW4 is grouped with the putida clade, albeit with low confidence. Additional phylogenetic analysis of the four concatenated “housekeeping” genes showed that UW4 has a closer relationship with P. jessenii. These results raise the question of which species that UW4 belongs to.
Pseudomonas was first discovery by Migula in 1894. Since then, the taxonomy of Pseudomonas has always been controversial  and many Pseudomonas sp. have been reclassified as other species and/or genera through the years –. Although 16S rRNA gene is a basic tool of the current bacterial classification, it is known that very closely related species of bacteria cannot be differentiated based on this gene –. Therefore, many studies have shown that other genes, such as “housekeeping” genes recA, atpD, carA, gyrB, rpoB, trpB, should be used to assist bacterial species classification ,–. Furthermore, the fact that most bacteria have multiple copies of 16S rRNA genes and their intragenomic diversities within individual genomes indicate that it is necessary to include all unique 16S rRNA genes of one bacterium for its identification. However, without knowing the complete genome sequence of the bacterium, one can hardly obtain all the sequences of its 16S rRNA genes.
Since the resolution of 16S rRNA tree was not sufficient to differentiate UW4 from other closely related Pseudomonas species, the classification of this bacterium should follow the whole genome phylogeny based on the conserved genes among all sequenced Pseudomonas genomes, as well as the phylogeny of the “housekeeping” genes, which indicated that it belongs to P. fluorescens group, jessenii subgroup. Furthermore, according to the Bergey’s Manual of Determinative Bacteriology , P. fluorescens is positive for nitrate reduction, while P. putida is negative. In the genome of UW4, the presence of a putative nitrate reductase (PputUW4_03644) supports the reclassification of UW4 into the fluorescens group.
Genome sequencing of UW4 has opened up a number of opportunities to study this PGPB in the future, and knowledge of this sequence will benefit the development of a more complete understanding of the mechanisms used by this bacterium to promote plant growth. From the results of genome analyses, it was concluded that UW4 has a better fit within the fluorescens group rather than the putida group. Knowing the complete genome sequence of UW4 allows us to see this bacterium from a whole new point of view. Because biological functions rely on interactions between different biomolecules, rather than a single gene product, the availability of the whole genetic contents of this organism will surely help to provide more insight in unraveling the complex biological mechanisms that UW4 and other similar organisms use to promote plant growth. This work aims to initiate a more comprehensive study of the strain UW4. The analyses that have been done will provide a fundamental basis for future studies towards fully understanding the functioning of this organism.
Materials and Methods
Bacterial Growth and DNA Extraction
A single colony of P. sp. UW4 grown on Tryptic Soy agar (Difco Laboratories, Detroit, MI) was inoculated into 5 mL of TSB (Difco Laboratories, Detroit, MI) and grown overnight with shaking at 30°C. Bacterial cells were collected by centrifugation and the genomic DNA was extracted with a Wizard® Genomic DNA purification kit (Promega, Madison, WI, USA) according to the manufacturer’s instructions. E. coli DH5α  was used as a recipient for recombinant plasmids. This strain and its transformants with different plasmids were grown at 37°C in Luria-Bertani (LB) broth medium (Difco Laboratories, Detroit, MI), with appropriate antibiotics. Ampicillin was added at 100 µg/mL for E. coli.
Whole Genome Sequencing and Assembly
The complete genomic sequencing was carried out at The McGill University and Genome Quebec Innovation Center where they used the current Roche GS-FLX Titanium chemistry protocols in place to sequence the genomic DNA. First, a shotgun library was prepared from 5 µg of DNA and subsequently sequenced, generating 203,178 reads in 74,063,913 bp of sequencing data. 93% of the reads were fully assembled into 312 large contigs, ranging from 518–197,691 bp. The sum of the large contigs’ size is 6,049,654 bp and about 12× of the sequencing coverage was achieved. In order to facilitate gap closure in the genome sequence, an 8 Kb paired-end library was then constructed using 15 µg of DNA to re-sequence the entire genome. After sequencing, 186,877 reads were generated in 73,775,344 bp of sequencing data. Combining the results of shotgun and paired-end sequencing, 96% of the reads were fully assembled into 122 large contigs ranging from 500–356,439 bp. Ten ordered and oriented scaffolds with a genome size of 6.22 Mb were obtained. Using paired-end sequencing, another 12× genome coverage was achieved. De novo sequence assembly was completed using Roche’s Newbler assembler v.2.0.01.14 at The McGill University and Genome Quebec Innovation Center. Gaps between the contigs were filled in by sequencing the PCR products using Applied Biosystems 3730xl DNA Analyzers at The McGill University and Genome Quebec Innovation Center, University of Guelph’s Advanced Analysis Centre, and York University Core Molecular Biology and DNA Sequencing Facility. Initially, 100 pairs of primers were designed to fill in the 100 gaps. Then, primer walking was used to close the gaps that were greater than 1.5 Kb. KOD Hot Start DNA Polymerase (EMD Millipore, MA, United States) and GoTaq® Hot Start Polymerase (Promega, WI, United States) were used for PCR amplification.
Genome Annotation and Analysis
The P. sp. UW4 genome sequence was first annotated using web-based automated pipelines including Bacterial Annotation System (BASys) v1.0  and Integrative Services for Genomic Analysis (ISGA) v1.2 . Putative CDS were identified by Glimmer v3.02 ) and Prokaryotic Dynamic Programming Genefinding Algorithm (Prodigal) v2.5 . The results from the two programs were combined and manually reviewed. Ribosomal RNA and transfer RNA genes were predicted by RNAmmer v1.2  and tRNAScan-SE , which are embedded in the ISGA annotation pipeline. Next, functional annotation of the identified genes was conducted by a sequence similarity search against non-redundant (NR) protein database at the GenBank by BLAST, and putative function was assigned to each gene with a cutoff E-value of ≤1 E−05. Cluster of Orthologous Group (COG) and enzyme-coding genes were predicted by COG Finder 1.0 and ECNumber Finder in BASys. With the ISGA pipeline, COG was searched against the NCBI COG database – and an E.C. number was assigned by PRIAM . The results from both pipelines were compared and manually corrected based on the current COG database and Enzyme nomenclature database . Protein localization was predicted by PSORTb v3.0.2  and genomic islands (GIs) were detected using IslandViewer . Repeat sequences were examined by Tandem Repeats Finder v4.04 . The metabolic pathways were constructed using Pathway Tools v15.5  and the KEGG database . Genome comparisons among 10 completely sequenced P. putida and P. fluorescens genomes were carried out using TBLASTX  and displayed by the Artemis Comparison Tool (ACT) . Orthologs in the 21 Pseudomonas genomes were identified using Roundup  with the most stringent blast E-value (1 E−20) and divergence thresholds (0.2). Then the amino acid sequences of the core genes were aligned using the MUSCLE program in SeaView v4.3.2 –, and poorly aligned regions were removed manually using Geneious Pro 5.4.6 . Before constructing a maximum likelihood (ML) tree for each alignment, the model of protein evolution was selected using PROTTEST v2.4 . Next, a ML tree was built using PHYML v3.0  embedded in SeaView v4.3.2 with the appropriate model for each alignment. Nodal support was evaluated by the approximate likelihood ratio test (aLRT) . Based on all the orthologs that were identified, a phylogenetic tree of 21 different Pseudomonas species was constructed using the consensus tree program of Geneious Pro 5.4.6 . DNAPlotter  was used to draw a P. sp. UW4 genome atlas.
Phylogeny of 16S rRNA Genes of Pseudomonas Genomes
The 16S rRNA gene sequences of P. sp. UW4 were aligned with those of the publicly available Pseudomonas genome sequences using the MUSCLE program in SeaView v4.3.2 – and refined manually using Geneious Pro v5.4.6 . All the 21 Pseudomonas genomes have multiple copies of 16S rRNA genes, and only unique sequences were included in this analysis. The substitution model was selected using jModeltest v0.1.1  and a ML tree was built by PHYML v3.0  in SeaView v4.3.2 with a general time-reversible model (GTR), with the nodal support assessed by aLRT.
Phylogeny of Four Concatenated “Housekeeping” Genes of Pseudomonas Strains
The concatenated sequences of 16S rRNA, gyrB, rpoD and rpoB of 128 Pseudomonas strains (Accession number shown in Table 3 and Table S15) were aligned using the MUSCLE program in SeaView v4.3.2 – and refined manually using Geneious Pro v5.4.6 . The order of the four genes in the concatenated sequence is 16S rRNA, gyrB, rpoD and rpoB. A neighbor-joining tree was constructed using Jukes-Cantor algorithm . Nodal support was evaluated with 1000 bootstrap pseudoreplications.
Pyoverdine synthesis genes in P. sp. UW4. Genes are not drawn to scale and are oriented according to the direction of transcription.
P. sp. UW4 predicted pyoverdine biosynthesis pathway.
P. sp. UW4 IAA biosynthesis pathways.
Genomic Islands of P. sp. UW4 Predicted by IslandViewer.
Tandem Repeats Identified in P. sp. UW4.
Genes Associated with Pyoverdine Synthesis in P. sp. UW4.
P. sp. UW4 Multidrug Efflux Systems.
Genes potentially involved in metal resistance of P. sp, UW4.
Protein secretion systems in P. sp, UW4.
Type IV Pilus Genes in P. sp, UW4.
Putative Orthologous Relations Between UW4 and completely sequenced Pseudomonas genomes.
Predicted CDSs that share similarities with other Pseudomonas sp.
Putative unique CDSs in P. sp. UW4.
Predicted UW4 CDSs that share sequence similarities to those in other genera only.
We thank Dr. Xiangjun Liu for invaluable advice on genome analyses. We also acknowledge Owen Woody for his assistance on bioinformatics software. Special thanks go to Jiming Song for her help on genome assembly.
Edited the manuscript: BRG JJH ZC. Conceived and designed the experiments: JD BRG JJH. Performed the experiments: JD WJ ZC. Analyzed the data: JD WJ. Contributed reagents/materials/analysis tools: JD JJH BRG. Wrote the paper: JD.
- 1. Glick BR, Karaturovic DM, Newell PC (1995) A novel procedure for rapid isolation of plant growth promoting pseudomonads. Canadian Journal of Microbiology 41(6): 533–536.
- 2. Shah S, Li J, Moffatt BA, Glick BR (1998) Isolation and Characterization of ACC deaminase genes from two different plant growth-promoting rhizobacteria. Canadian Journal of Microbiology 44(9): 833–843.
- 3. Hontzeas N, Richardson AO, Belimov A, Safronova V, Abu-Omar MM, et al. (2005) Evidence for horizontal transfer of 1-aminocyclopropane-1-carboxylate deaminase genes. Applied and Environmental Microbiology 71(11): 7556–7558.
- 4. Li J, Ovakim DH, Charles TC, Glick BR (2000) An ACC deaminase minus mutant of Enterobacter cloacae UW4 no longer promotes root elongation. Current Microbiology 41(2): 101–105.
- 5. Grichko VP, Glick BR (2000) Identification of DNA sequences that regulate the expression of the Enterobacter cloacae UW4 1-aminocyclopropane-1-carboxylate deaminase gene. Canadian Journal of Microbiology 46(12): 1159–1165.
- 6. Li J, Glick BR (2001) Transcriptional regulation of the Enterobacter cloacae UW4 1-aminocyclopropane-1-carboxylate (ACC) deaminase gene (acdS). Canadian Journal of Microbiology 47(4): 259–267.
- 7. Cheng Z, Duncker BP, McConkey BJ, Glick BR (2008) Transcription regulation of ACC deaminase gene expression in Pseudomonas putida UW4. Canadian Journal of Microbiology 54(2): 128–136.
- 8. Wang C, Knill E, Glick BR, Défago G (2000) Effect of transferring 1-aminocyclopropane-1-carboxylic acid (ACC) deaminase genes into Pseudomonas fluorescens strain CHA0 and its gacA derivative CHA96 on their growth promoting and disease-suppressive capacities. Canadian Journal of Microbiology 46(10): 898–907.
- 9. Robison MM, Shah S, Tamot B, Paule KP, Moffatt BB, et al. (2001) Reduced symptoms of Verticillium wilt in transgenic tomato expressing a bacterial ACC deaminase. Molecular Plant Pathology 2(3): 135–145.
- 10. Grichko VP, Filby B, Glick BR (2000) Increased ability of transgenic plants expressing the bacterial enzyme ACC deaminase to accumulate Cd, Co, Cu, Ni, Pb, and Zn. Journal of Biotechnology 81(1): 45–53.
- 11. Nie L, Shah S, Burd GI, Dixon DG, Glick BR (2002) Phytoremediation of arsenate contaminated soil by transgenic canola and the plant growth-promoting bacterium Enterobacter cloacae CAL2. Plant Physiology and Biochemistry 40(4): 355–361.
- 12. Stearns JC, Shah S, Greenberg BM, Dixon DG, Glick BR (2005) Tolerance of transgenic canola expressing 1-aminocyclopropane-1-carboxylic acid deaminase to growth inhibition by nickel. Plant Physiology and Biotechnology 43(7): 701–708.
- 13. Grichko VP, Glick BR (2001) Amelioration of flooding stress by ACC deaminase-containing plant growth-promoting bacteria. Plant Physiology and Biochemistry 39(1): 11–17.
- 14. Farwell AJ, Vesely S, Nero V, Rodriguez H, McCormack K, et al. (2007) Tolerance of transgenic canola plants (Brassica napus) amended with plant growth-promoting bacteria to flooding stress at a metal-contaminated field site. Environmental Pollution 147(3): 540–545.
- 15. Farwell AJ, Vesely S, Nero V, Rodriguez H, Shah S, et al. (2006) The use of transgenic canola (Brassica napus) and plant growth-promoting bacteria to enhance plant biomass at a nickel-contaminated field site. Plant and Soil 288(1–2): 309–318.
- 16. Cheng Z, Park E, Glick BR (2007) 1-aminocyclopropane-1-carboxylate deaminase from Pseudomonas putida UW4 facilitates the growth of canola in the presence of salt. Canadian Journal of Microbiology 53(7): 912–918.
- 17. Hao Y, Charles TC, Glick BR (2007) ACC deaminase from plant growth promoting bacteria affects crown gall development. Canadian Journal of Microbiology 53(12): 1291–1299.
- 18. Toklikishvili N, Dandurishvili N, Vainstein A, Tediashvili M, Giorgobiani N, et al. (2010) Inhibitory effect of ACC deaminase-producing bacteria on crown gall formation in tomato plants infected by Agrobacterium tumefaciens or A. vitis. Plant Pathology 59(6): 1023–1030.
- 19. Cheng Z, Duan J, Hao Y, McConkey BJ, Glick BR (2009a) Identification of bacterial proteins mediating the interactions between Pseudomonas putida UW4 and Brassica napus (Canola). Molecular Plant-Microbe Interactions 22(6): 686–694.
- 20. Cheng Z, Wei YC, Sung WWL, Glick BR, McConkey BJ (2009b) Proteomic analysis of the response of the plant growth-promoting bacterium Pseudomonas putida UW4 to nickel stress. Proteome Science 7: 18.
- 21. Cheng Z, Woody OZ, McConkey BJ, Glick BR (2011) Combined effects of the plant growth-promoting bacterium Pseudomonas putida UW4 and salinity stress on the Brassica napus proteome. Applied Soil Ecology. 61: 255–263.
- 22. Cheng Z, Woody OZ, Song J, Glick BR, McConkey BJ (2009c) Proteome reference map for the plant growth-promoting bacterium Pseudomonas putida UW4. Proteomics 9(17): 4271–4274.
- 23. Fujita MQ, Yoshikawa H, Ogasawara N (1989) Structure of the dnaA region of Pseudomonas putida: Conservation among three bacteria, Bacillus subtilis, Escherichia coli and P. putida. Molecular and General Genetics 215(3): 381–387.
- 24. Yee TW, Smith DW (1990) Pseudomonas chromosomal replication origins: A bacterial class distinct from Escherichia coli-type origins. Proceedings of the National Academy of Sciences of the United States of America 87(4): 1278–1282.
- 25. Hsiao W, Wan I, Jones SJ, Brinkman FSL (2003) IslandPath: aiding detection of genomic islands in prokaryotes. Bioinformatics 19(3): 418–420.
- 26. Waack S, Keller O, Asper R, Brodag T, Damm C, et al. (2006) Score-based prediction of genomic islands in prokaryotic genomes using hidden Markov models. BMC Bioinformatics 16: 142.
- 27. Langille MG, Hsiao WW, Brinkman FS (2010) Detecting genomic islands using bioinformatics approaches. Nature Reviews Microbiology 8(5): 373–382.
- 28. Hacker J, Blum-Oehler G, Mühldorfer I, Tschäpe H (1997) Pathogenicity islands of virulent bacteria: structure, function and impact on microbial evolution. Molecular Microbiology 23(6): 1089–1097.
- 29. Yeramian E, Buc H (1999) Tandem repeats in complete bacterial genome sequences: sequence and structural analyses for comparative studies. Research in Microbiology 150(9–10): 745–754.
- 30. Usdin K (2008) The biological effects of simple tandem repeats: Lessons from the repeat expansion diseases. Genome Research 18(7): 1011–1019.
- 31. Winstanley C, Langille MGI, Fothergill JL, Kukavica-Ibrulj I, Paradis-Bleau C, et al. (2009) Newly introduced genomic prophage islands are critical determinants of in vivo competitiveness in the Liverpool Epidemic Strain of Pseudomonas aeruginosa. Genome Research 19(1): 12–23.
- 32. Roy PH, Tetu SG, Larouche A, Elbourne L, Tremblay S, et al. (2010) Complete genome sequence of the multiresistant taxonomic outlier Pseudomonas aeruginosa PA7. PLoS One 5(1): e8842.
- 33. Stover CK, Pham XQ, Erwin AL, Mizoguchi SD, Warrener P, et al. (2000) Complete genome sequence of Pseudomonas aeruginosa PAO1, an opportunistic pathogen. Nature 406(6799): 959–964.
- 34. Lee DG, Urbach JM, Wu G, Liberati NT, Feinbaum RL, et al. (2006) Genomic analysis reveals that Pseudomonas aeruginosa virulence is combinatorial. Genome Biology 7(10): R90.
- 35. Ortet P, Barakat M, Lalaouna D, Fochesato S, Barbe V, et al. (2011) Complete genome sequence of a beneficial plant root-associated bacterium, Pseudomonas brassicacearum. Journal of Bacteriology 193(12): 3146.
- 36. Vodovar N, Vallenet D, Cruveiller S, Rouy Z, Barbe V, et al. (2006) Complete genome sequence of the entomopathogenic and metabolically versatile soil bacterium Pseudomonas entomophila. Nature Biotechnology 24(6): 673–679.
- 37. Paulsen IT, Press CM, Ravel J, Kobayashi DY, Myers GSA, et al. (2005) Complete genome sequence of the plant commensal Pseudomonas fluorescens Pf-5. Nature Biotechnology 23(7): 873–878.
- 38. Silby MW, Cerdeño-Tárraga AM, Vernikos GS, Giddens SR, Jackson RW, et al. (2009) Genomic and genetic analyses of diversity and plant interactions of Pseudomonas fluorescens. Genome Biology 10(5): R51.
- 39. Guo W, Wang Y, Song C, Yang C, Li Q, et al. (2011) Complete genome of Pseudomonas mendocina NK-01, which synthesizes medium-chain-length polyhydroxyalkanoates and alginate oligosaccharides. Journal of Bacteriology 193(13): 3413–3414.
- 40. Matilla MA, Pizarro-Tobias P, Roca A, Fernández M, Duque E, et al. (2011) Complete genome of the plant growth-promoting rhizobacterium Pseudomonas putida BIRD-1. Journal of Bacteriology 193(5): 1290.
- 41. Wu X, Monchy S, Taghavi S, Zhu W, Ramos J, et al. (2011) Comparative genomics and functional analysis of niche-specific adaptation in Pseudomonas putida.. FEMS Microbiology Reviews 35(2): 299–323.
- 42. Nelson KE, Weinel C, Paulsen IT, Dodson RJ, Hilbert H, et al. (2002) Complete genome sequence and comparative analysis of the metabolically versatile Pseudomonas putida KT2440. Environmental Microbiology 4(12): 799–808.
- 43. Yu H, Tang H, Wang L, Yao Y, Wu G, et al. (2011) Complete genome sequence of the nicotine-degrading Pseudomonas putida strain S16. Journal of Bacteriology 193(19): 5541–5542.
- 44. Yan Y, Yang J, Dou Y, Chen M, Ping S, et al. (2008) Nitrogen fixation island and rhizosphere competence traits in the genome of root-associated Pseudomonas stutzeri A1501. Proceedings of the National Academy of Sciences of the United States of America 105(21): 7564–7569.
- 45. Joardar V, Lindeberg M, Jackson RW, Selengut J, Dodson R, et al. (2005) Whole-genome sequence analysis of Pseudomonas syringae pv. phaseolicola 1448A reveals divergence among pathovars in genes involved in virulence and transposition. Journal of Bacteriology 187(18): 6488–6498.
- 46. Feil H, Feil WS, Chain P, Larimer F, DiBartolo G, et al. (2005) Comparison of the complete genome sequences of Pseudomonas syringae pv. syringae B728a and pv. tomato DC3000. Proceedings of the National Academy of Sciences of the United States of America 102(31): 11064–11069.
- 47. Buell CR, Joardar V, Lindeberg M, Selengut J, Paulsen IT, et al. (2003) The complete genome sequence of the Arabidopsis and tomato pathogen Pseudomonas syringae pv. tomato DC3000. Proceedings of the National Academy of Sciences of the United States of America 100(18): 10181–10186.
- 48. Glick BR, Todorovic B, Czarny J, Cheng Z, Duan J, et al. (2007) Promotion of plant growth by bacterial ACC deaminase. Critical Reviews in Plant Sciences 26(5–6): 227–242.
- 49. Glick BR, Cheng ZY, Czarny J, Duan J (2007) Promotion of plant growth by ACC deaminase-producing soil bacteria. European Journal of Plant Pathology 119(3): 329–339.
- 50. McMorran BJ, Kumara HMCS, Sullivan K, Lamont IL (2001) Involvement of a transformylase enzyme in siderophore synthesis in Pseudomonas aeruginosa. Microbiology 147(Pt 6): 1517–1524.
- 51. Lamont IL, Martin LW, Sims T, Scott A, Wallace M (2006) Characterization of a gene encoding an acetylase required for pyoverdine synthesis in Pseudomonas aeruginosa. Journal of Bacteriology 188(8): 3149–3152.
- 52. Smith EE, Sims EH, Spencer DH, Kaul R, Olson MV (2005) Evidence for diversifying selection at the pyoverdine locus of Pseudomonas aeruginosa. Journal of Bacteriology 187(6): 2138–2147.
- 53. Saleh SS, Glick BR (2001) Involvement of gacS and rpoS in enhancement of the plant growth-promoting capabilities of Enterobacter cloacae CAL2 and UW4. Canadian Journal of Microbiology 47(8): 698–705.
- 54. Patten CL, Glick BR (2002) Role of Pseudomonas putida indoleacetic acid in development of the host plant root system. Applied and Environmental Microbiology 68(8): 3795–3801.
- 55. Garg AK, Kim JK, Owens TG, Ranwala AP, Choi YD, et al. (2002) Trehalose accumulation in rice plants confers high tolerance levels to different abiotic stresses. Proceedings of the National Academy of Sciences of the United States of America 99(25): 15893–15903.
- 56. Rodríguez-Salazar J, Suárez R, Caballero-Mellado J, Iturriaga G (2009) Trehalose accumulation in Azospirillum brasilense improves drought tolerance and biomass in maize plants. FEMS Microbiology Letters 296(1): 52–59.
- 57. Paul MJ, Primavesi LF, Jhurreea D, Zhang Y (2008) Trehalose metabolism and signaling. Annual Review of Plant Biology 59: 417–441.
- 58. Ryu CM, Farag MA, Hu CH, Reddy MS, Wei HX, et al. (2003) Bacterial volatiles promote growth in Arabidopsis. Proceedings of the National Academy of Sciences of the United States of America 100(8): 4927–4932.
- 59. Taghavi S, van der Lelie D, Hoffman A, Zhang YB, Walla MD, et al. (2010) Genome sequence of the plant growth promoting endophytic bacterium Enterobacter sp. 638. PLoS Genetics 6(5): e1000943.
- 60. Hao X, Lin Y, Johnstone L, Baltrus DA, Miller SJ, et al. (2012) Draft genome sequence of plant growth-promoting Rhizobium Mesorhizobium amorphae, isolated from zinc-lead mine tailings. Journal of Bacteriology 194(3): 736–737.
- 61. Bolam DN, Roberts S, Proctor MR, Turkenburg JP, Dodson EJ, et al. (2007) The crystal structure of two macrolide glycosyltransferases provides a blueprint for host cell antibiotic immunity. Proceedings of the National Academy of Sciences of the United States of America 104(13): 5336–5341.
- 62. Gellert M, O’Dea MH, Itoh T, Tomizawa J (1976) Novobiocin and coumermycin inhibit DNA supercoiling catalyzed by DNA gyrase. Proceedings of the National Academy of Sciences of the United States of America 73(12): 4474–4478.
- 63. Thiara AS, Cundliffe E (1988) Cloning and characterization of a DNA gyrase B gene from Streptomyces sphaeroides that confers resistance to novobiocin. EMBO Journal 7(7): 2255–2259.
- 64. Thiara AS, Cundliffe E (1993) Expression and analysis of two gyrB genes from the novobiocin producer, Streptomyces sphaeroides. Molecular Microbiology 8(3): 495–506.
- 65. Thiara AS, Cundliffe E (1989) Interplay of novobiocin-resistant and –sensitive DNA gyrase activities in self-protection of the novobiocin producer, Streptomyces sphaeroides. Gene 81(1): 65–72.
- 66. Poole K (2001) Multidrug efflux pumps and antimicrobial resistance in Pseudomonas aeruginosa and related organisms. Journal of Molecular Microbiology and Biotechnology 3(2): 255–264.
- 67. Verlinden RAJ, Hill DJ, Kenward MA, Williams CD, Radecka I (2007) Bacterial synthesis of biodegradable polyhydroxyalkanoates. Journal of Applied Microbiology 102(6): 1437–1449.
- 68. Madison LL, Huisman GW (1999) Metabolic engineering of poly(3-hydroxyalkanoates): from DNA to plastic. Microbiology and Molecular Biology Reviews 63(1): 21–53.
- 69. Steinbüchel A, Lütke-Eversloh T (2003) Metabolic engineering and pathway construction for biotechnological production of relevant polyhydroxyalkanoates in microorganisms. Biochemical Engineering Journal 16(2): 81–96.
- 70. Ayub ND, Tribellli PM, López NI (2009) Polyhydroxyalkanoates are essential for maintenance of redox state in the Antarctic bacterium Pseudomonas sp. 14–3 during low temperature adaptation. Extremophiles 13(1): 59–66.
- 71. Prieto MA, de Eugenio LI, Galán B, Luengo JM, Witholt B (2007) Synthesis and degradation of polyhydroxyalkanoates. In: Ramos JL and Filloux A (eds.) Pseudomonas: A Model System in Biology, pp: 397–428 Springer, Dordrecht, London.
- 72. Fuchs G, Boll M, Heider J (2011) Microbial degradation of aromatic compounds – from one strategy to four. Nature Reviews Microbiology 9(11): 803–816.
- 73. Zylstra GJ, Gibson DT (1989) Toluene degradation by Pseudomonas putida F1. The Journal of Biological Chemistry 264(25): 14940–14946.
- 74. Jiménez JI, Miñambres B, Luis GarcíA J, Díaz E (2004) Genomic insights in the metabolism of aromatic compounds in Pseudomonas. In: Ramos JL (ed.) Pseudomonas: Biosynthesis of Macromolecules and Molecular Metabolism, pp: 427 Kluwer Academic/Plenum Publishers, New York.
- 75. Adaikkalam V, Swarup S (2002) Molecular characterization of an operon, cueAR, encoding a putative P1-type ATPase and a MerR-type regulatory protein involved in copper homeostasis in Pseudomonas putida. Microbiology 148(Pt 9): 2857–2867.
- 76. Adaikkalam V, Swarup S (2005) Characterization of copABCD operon from a copper-sensitive Pseudomonas putida strain. Canadian Journal of Microbiology 51(3): 209–216.
- 77. Ouzounis C, Sander C (1991) A structure-derived sequence pattern for the detection of type I copper binding domains in distantly related proteins. FEBS Letters 279(1): 73–78.
- 78. Hantke K (2005) Bacterial zinc uptake and regulators. Current Opinion in Microbiology 8(2): 196–202.
- 79. Self WT, Grunden AM, Hasona A, Shanmugam KT (2001) Molybdate transport. Research in Microbiology 152(3–4): 311–321.
- 80. Rodionov DA, Vitreschak AG, Mironov AA, Gelfand MS (2003) Comparative genomics of the vitamin B12 metabolism and regulation in prokaryotes. The Journal of Biological Chemistry 278(42): 41148–41159.
- 81. Cánovas D, Cases I, de Lorenzo V (2003) Heavy metal tolerance and metal homeostasis in Pseudomonas putida as revealed by complete genome analysis. Environmental Microbiology 5(12): 1242–1256.
- 82. Ye J, Yang HC, Rosen BP, Bhattacharjee H (2007) Crystal structure of the flavoprotein ArsH from Sinorhizobium meliloti. FEBS Letters 581(21): 3996–4000.
- 83. Nies A, Nies DH, Silver S (1990) Nucleotide sequence and expression of a plasmid-encoded chromate resistance determinant from Alcaligenes eutrophus. The Journal of Biological Chemistry 265(10): 5648–5653.
- 84. Cervantes C, Ohtake H, Chu L, Misra TK, Silver S (1990) Cloning, nucleotide sequence, and expression of the chromate resistance determinant of Pseudomonas aeruginosa plasmid pUM505. Journal of Bacteriology 172(1): 287–291.
- 85. Alvarez AH, Moreno-Sánchez R, Cervantes C (1999) Chromate efflux by means of the ChrA chromate resistance protein from Pseudomonas aeruginosa. Journal of Bacteriology 181(23): 7398–7400.
- 86. Pimentel BE, Moreno-Sánchez R, Cervantes C (2002) Efflux of chromate by Pseudomonas aeruginosa cells expressing the ChrA protein. FEMS Microbiology Letters 212(2): 249–254.
- 87. He M, Li X, Guo L, Miller SJ, Rensing C, et al. (2010) Characterization and genomic analysis of chromate resistant and reducing Bacillus cereus strain SJ1. BMC Microbiology 10: 221.
- 88. Viti C, Decorosi F, Mini A, Tatti E, Giovannetti L (2009) Involvement of the oscA gene in the sulphur starvation response and in Cr(VI) resistance in Pseudomonas corrugata 28. Microbiology 155(Pt 1): 95–105.
- 89. Kertesz MA (2004) Metabolism of sulphur-containing organic compounds. In: Ramos JL (ed.) Pseudomonas: Biosynthesis of Macromolecules and Molecular Metabolism, pp: 323–357 Kluwer Academic/Plenum Publishers, New York.
- 90. Chambers LA, Trudinger PA (1971) Cysteine and S-sulphocysteine biosynthesis in bacteria. Archives of Microbiology 77(2): 165–184.
- 91. Piłsyk S, Paszewski A (2009) Sulfate permeases-phylogenetic diversity of sulfate transporter. Acta Biochimica Polonica 56(3): 375–384.
- 92. Quadroni M, James P, Dainese-Hatt P, Kertesz MA (1999) Proteome mapping, mass spectrometric sequencing and reverse transcriptase-PCR for characterization of the sulfate starvation-induced response in Pseudomonas aeruginosa PAO1. European Journal of Biochemistry 266(3): 986–996.
- 93. Ostrowski J, Kredich NM (1989) Molecular characterization of the cysJIH promoters of Salmonella typhimurium and Escherichia coli: regulation by cysB protein and N-acetyl-L-serine. Journal of Bacteriology 171(1): 130–140.
- 94. Ostrowski J, Kredich NM (1990) In vitro interactions of CysB protein with the cysJIH promoter of Salmonella typhimurium: inhibitory effects of sulfide. Journal of Bacteriology 172(2): 779–785.
- 95. Hryniewicz MM, Kredich NM (1991) The cysP promoter of Salmonella typhimurium: characterization of two binding sites for CysB protein, studies of in vivo transcription initiation, and demonstration of the anti-inducer effects of thiosulfate. Journal of Bacteriology 173(18): 5876–5886.
- 96. Gutierrez JC, Ramos F, Ortner L, Tortolero M (1995) nasST, two genes involved in the induction of the assimilatory nitrite-nitrate reductase operon (nasAB) of Azotobacter vinelandii. Molecular Microbiology 18(3): 579–591.
- 97. Caballero A, Esteve-Núñez A, Zylstra GJ, Ramos JL (2005) Assimilation of nitrogen from nitrite and trinitrotoluene in Pseudomonas putida JLR11. Journal of Bacteriology 187(1): 396–399.
- 98. Moir JWB, Wood NJ (2001) Nitrate and nitrite transport in bacteria. Cellular and Molecular Life Sciences 58(2): 215–224.
- 99. Wang R, Guegler K, Labrie ST, Crawford NM (2000) Genomic analysis of a nutrient response in Arabidopsis reveals diverse expression patterns and novel metabolic and potential regulatory genes induced by nitrate. The Plant Cell 12(8): 1491–1509.
- 100. Tate R, Riccio A, Laccarino M, Patriarca EJ (1997) A cysG mutant strain of Rhizobium etli pleiotropically defective in sulfate and nitrate assimilation. Journal of Bacteriology 179(23): 7343–7350.
- 101. Hu HC, Wang YY, Tsay YF (2009) AtCIPK8, a CBL-interacting protein kinase, regulates the low-affinity phase of the primary nitrate response. The Plant Journal 57(2): 264–278.
- 102. Martín Y, González YV, Cabrera E, Rodríguez C, Siverio JM (2011) NprI Ser/Thr protein kinase links nitrogen source quality and carbon availability with the yeast nitrate transporter (Ynt1) levels. The Journal of Biological Chemistry 286(31): 27225–27235.
- 103. Gebhard S, Ekanayaka N, Cook GM (2009) The low-affinity phosphate transporter PitA is dispensable for in vitro growth of Mycobacterium smegmatis. BMC Microbiology 9: 254.
- 104. Kloda A, Petrov E, Meyer GR, Nguyen T, Hurst AC, et al. (2008) Mechanosensitive channel of large conductance. The International Journal of Biochemistry & Cell Biology. 40(2): 164–169.
- 105. Redondo-Nieto M, Barret M, Morrisey JP, Germaine K, Martínez-Granero F, et al. (2012) Genome sequence of the biocontrol strain Pseudomonas fluorescens F113. Journal of Bacteriology 194(5): 1273–1274.
- 106. Preston GM, Bertrand N, Rainey PB (2001) Type III secretion in plant growth-promoting Pseudomonas fluorescens SBW25. Molecular Microbiology 41(5): 999–1014.
- 107. Kimbrel JA, Givan SA, Halgren AB, Creason AL, Mills DI, et al. (2010) An improved, high-quality draft genome sequence of the Germination-Arrest Factor-producing Pseudomonas fluorescens WH6. BMC Genomics 11: 522.
- 108. Rezzonico F, Défago G, Moënne-Loccoz Y (2004) Comparison of ATPase-encoding type III secretion system hrcN genes in biocontrol fluorescent Pseudomonads and in phytopathogenic proteobacteria. Applied and Environmental Microbiology 70(9): 5119–5131.
- 109. Rezzonico F, Binder C, Defago G, Moenne-Loccoz Y (2005) The type III secretion system of biocontrol Pseudomonas fluorescens KD targets the phytopathogenic Chromista Pythium ultimum and promotes cucumber protection. Molecular Plant-Microbe Interactions 18(9): 991–1001.
- 110. Mavrodi DV, Joe A, Mavrodi OV, Hassan KA, Weller DM, et al. (2011) Structural and functional analysis of the type III secretion system from Pseudomonas fluorescens Q8r1–96. Journal of Bacteriology 193(1): 177–189.
- 111. Cusano AM, Burlinson P, Beveau A, Vion P, Uroz S, et al. (2011) Pseudomonas fluorescens BBc6R8 type III secretion mutants no longer promote ectomycorrhizal symbiosis. Environmental Microbiology Reports 3(2): 203–210.
- 112. Mazurier S, Lemunier M, Siblot S, Mougel C, Lemanceau P (2004) Distribution and diversity of type III secretion system-like genes in saprophytic and phytopathogenic fluorescent pseudomonads. FEMS Microbiology Ecology 49(3): 455–467.
- 113. Preston GM (2007) Metropolitan microbes: type III secretion in multihost symbionts. Cell Host Microbe 2(5): 291–294.
- 114. Viollet A, Corberand T, Mougel C, Robin A, Lemanceau P, et al. (2011) Fluorescent pseudomonads harboring type III secretion genes are enriched in the mycorrhizosphere of Medicago truncatula. FEMS Microbiology Ecoloty 75(3): 457–467.
- 115. Wilhelm S, Gdynia A, Tielen P, Rosenau F, Jaeger KE (2007) The autotransporter esterase EstA of Pseudomonas aeruginosa is required for rhamnolipid production, cell motility, and biofilm formation. Journal of Bacteriology 189(18): 6695–6703.
- 116. Bleves S, Viarre V, Salacha R, Michel GPF, Filloux A, et al. (2010) Protein secretion systems in Pseudomonas aeruginosa: A wealth of pathogenic weapons. International Journal of Medical Microbiology 300(8): 534–543.
- 117. Molina MA, Ramos JL, Espinosa-Urgel M (2006) A two-partner secretion system is involved in seed and root colonization and iron uptake by Pseudomonas putida KT2440. Environmental Microbiology 8(4): 639–647.
- 118. Pukatzke S, Ma AT, Sturtevant D, Krastins B, Sarracino D, et al. (2006) Identification of a conserved bacterial protein secretion system in Vibrio cholerae using the Dictyostelium host model system. Proceedings of the National Academy of Sciences of the United States of America 103(5): 1528–1533.
- 119. Cascales E, Cambillau C (2012) Structural biology of type VI secretion systems. Philosophical Transactions of the Royal Society 367(1592): 1102–1111.
- 120. Felisberto-Rodrigues C, Durand E, Aschtgen MS, Blangy S, Ortiz-Lombardia M, et al. (2011) Towards a structural comprehension of bacterial Type VI secretion systems: characterization of the TssJ-TssM complex of an Escherichai coli pathovar. PLoS Pathogens 7(11): e1002386.
- 121. Durand E, Zoued A, Spinelli S, Watson PJH, Aschtgen MS, et al. (2012) Structural characterization and oligomerization of the TssL protein, a component shared by the bacterial Type VI and Type IVb secretion systems. The Journal of Biological Chemistry 287(17): 14157–14168.
- 122. Pei AY, Oberdorf WE, Nossa CW, Agarwal A, Chokshi P, et al. (2010) Diversity of 16S rRNA genes within individual prokaryotic genomes. Applied and Environmental Microbiology 76(12): 3886–3897.
- 123. Mulet M, Lalucat J, García-Valdés E (2010) DNA sequence-based analysis of the Pseudomonas species. Environmental Microbiology 12(6): 1513–1530.
- 124. Peix A, Ramírez-Bahena MH, Velázquez E (2009) Historical evolution and current status of the taxonomy of genus Pseudomonas. Infection, Genetics and Evolution 9(6): 1132–1147.
- 125. Johnson JL, Palleroni N (1989) Deoxyribonucleic acid similarities among Pseudomonas species. International Journal of Systematic and Evolutionary Microbiology 39(3): 230–235.
- 126. Willems A, Falsen E, Pot B, Jantzen E, Hoste B, et al. (1990) Acidovorax, a new genus for Pseudomonas facilis, Pseudomonas delafieldii, E. Falsen (EF) group 13, EF group 16, and several clinical isolates, with the species Acidovorax facilis comb. nov., Acidovorax delafieldii comb. nov., and Acidovorax temperans sp. nov. International Journal of Systematic and Evolutionary Microbiology 40(4): 384–398.
- 127. Willems A, Goor M, Thielemans S, Gillis M, Kersters K, et al. (1992) Transfer of several phytopathogenic Pseudomonas species to Acidovorax as Acidovorax avenae subsp. avenae subsp. nov., comb. nov., Acidovorax avenae subsp. citrulli, Acidovorax avenae subsp. cattleyae, and Acidovorax konjaci. International Journal of Systematic and Evolutionary Microbiology 42(1): 107–119.
- 128. Yabuuchi E, Kosako Y, Oyaizu H, Yano I, Hotta H, et al. (1992) Proposal of Burkholderia gen. nov. and transfer of seven species of the genus Pseudomonas homology group II to the new genus, with the type species Burkholderia cepacia (Palleroni and Holmes 1981) comb. nov. Microbiology and Immunology 36(12): 1251–1275.
- 129. Yabuuchi E, Kosako Y, Yano I, Hotta H, Nishiuchi Y (1995) Transfer of two Burkholderia and an Alcaligenes species to Ralstonia gen. nov.: Proposal of Ralstonia pickettii (Ralston, Palleroni and Doudoroff 1973) comb. nov., Ralstonia solanacearum (Smith 1896) comb. nov. and Ralstonia eutropha (Davis 1969) comb. nov. Microbiology and Immunology 39(11): 897–904.
- 130. Palleroni NJ, Bradbury JF (1993) Stenotrophomonas, a new bacterial genus for Xanthomonas maltophilia (Hugh 1980) Swings et al. 1983. International Journal of Systematic and Evolutionary Microbiology 43(3): 606–609.
- 131. Segers P, Vancanneyt M, Pot B, Torck U, Hoste B, et al. (1994) Classification of Pseudomonas diminuta Leifson and Hugh 1954 and Pseudomonas vesicularis Büsing, Döll, and Freytag 1953 in Brevundimonas gen. nov. as Brevundimonas diminuta comb. nov. and Brevundimonas vesicularis comb. nov., respectively. International Journal of Systematic Bacteriology 44(3): 499–510.
- 132. Grimes DJ, Woese CR, MacDonell MT, Colwell RR (1997) Systematic study of the genus Vogesella gen. nov. and its type species, Vogesella indigofera comb. nov. International Journal of Systematic Bacteriology 47(1): 19–27.
- 133. Denner EBM, Kämpfer P, Busse HJ, Moore ERB (1999) Reclassification of Pseudomonas echinoides Heumann 1962, 343AL, in the genus Sphingomonas as Sphingomonas echinoides comb. nov. International Journal of Systematic Bacteriology 49(Pt 3): 1103–1109.
- 134. Anzai Y, Kim H, Park JY, Wakabayashi H, Oyaizu H (2000) Phylogenetic affiliation of the pseudomonads based on 16S rRNA sequence. International Journal of Systematic and Evolutionary Micriobiology 50(Pt 4): 1563–1589.
- 135. Brown GR, Sutcliffe IC, Cummings SP (2001) Reclassification of [Pseudomonas] doudoroffii (Baumann et al. 1983) into the genus Oceanomonas gen. nov. as Oceanomonas doudoroffii comb. nov., and description of a phenol-degrading bacterium from estuarine water as Oceanomonas baumannii sp. nov. International Journal of Systematic and Evolutionary Microbiology 51(fPt 1): 67–72.
- 136. Coenye T, Laevens S, Gillis M, Vandamme P (2001) Genotypic and chemotaxonomic evidence for the reclassification of Pseudomonas woodsii as Burkholderia andropogonis. International Journal of Systematic and Evolutionary Microbiology 51(Pt 1): 183–185.
- 137. Satomi M, Kimura B, Hamada T, Harayama S, Fujii T (2002) Phylogenetic study of the genus Oceanospirillum based on 16S rRNA and gyrB genes: emended description of the genus Oceanospirillum, description of Pseudospirillum gen. nov., Oceanobacter gen. nov. and Terasakiella gen. nov. and transfer of Oceanospirillum jannaschii and Pseudomonas stanieri to Marinobacterium as Marinobacterium jannaschii comb. nov. and Marinobacterium stanieri comb. nov. International Journal of Systematic and Evolutionary Microbiology 52(Pt 3): 739–747.
- 138. Peçonek J, Gruber C, Gallego V, Ventosa A, Busse HJ, et al. (2006) Reclassification of Pseudomonas beijerinckii (Hof, 1935) as Chromohalobacter beijerinckii comb. nov., and emended description of the species. International Journal of Systematic and Evolutionary Microbiology 56(Pt 8): 1953–1957.
- 139. Peix A, Valverde A, Rivas R, Igual JM, Ramírez-Bahena MH, et al. (2007) Reclassification of Pseudomonas aurantiaca as a synonym of Pseudomonas chlororaphis and proposal of three subspecies, P. chlororaphis subsp. chlororaphis subsp. nov., P. chlororaphis subsp. aureofaciens subsp. nov., comb. nov. and P. chlororaphis subsp. aurantiaca subsp. nov., comb. nov. International Journal of Systematic and Evolutionary Microbiology 57(Pt 6): 1286–1290.
- 140. Kämpfer P, Falsen E, Busse HJ (2008) Reclassification of Pseudomonas mephitica Claydon and Hammer 1939 as a later heterotypic synonym of Janthinobacterium lividum (Eisenberg 1891) De Ley et al. 1978. International Journal of Systematic and Evolutionary Microbiology 58(Pt 1): 136–138.
- 141. Fox G, Wisotzkey JD, Jurtshuk P Jr (1992) How close is close: 16S rRNA sequence identity may not be sufficient to guarantee species identity. International Journal of Systematic Bacteriology 42(1): 166–170.
- 142. Lechner S, Mayr R, Francis KP, Prüss BM, Kaplan T, et al. (1998) Bacillus weihenstephanensis sp. nov. is a new psychrotolerant species of the Bacillus cereus group. International Journal of Systematic and Evolutionary Microbiology 48(Pt 4): 1373–1382.
- 143. Wink J, Kroppenstedt RM, Seibert G, Stackebrandt E (2003) Actinomadura namibiensis sp. nov. International Journal of Systematic and Evolutionary Microbiology 53(Pt 3): 721–724.
- 144. Valverde A, Igual JM, Peix A, Cervantes E, Velázquez E (2006) Rhizobium lusitanum sp. nov. a bacterium that nodulates Phaseolus vulgaris. International Journal of Systematic and Evolutionary Microbiology 56(Pt 11): 2631–2637.
- 145. Dutta D, Gachhui R (2007) Nitrogen-fixing and cellulose-producing Gluconacetobacter kombuchae sp. nov., isolated from Kombucha tea. International Journal of Systematic and Evolutionary Microbiology 57(Pt 2): 353–357.
- 146. Rivas R, García-Fraile P, Peix A, Mateos PF, Martínez-Molina E, et al. (2007) Alcanivorax balearicus sp. nov., isolated from Lake Martel. International Journal of Systematic and Evolutionary Microbiology 57(Pt 6): 1331–1335.
- 147. Zurdo-Piñeiro JL, Rivas R, Trujillo ME, Vizcaíno N, Carrasco JA, et al. (2007) Ochrobactrum cytisi sp. nov., isolated from nodules of Cytisus scoparius in Spain. International Journal of Systematic and Evolutionary Microbiology 57(Pt 4): 784–788.
- 148. Hilario E, Buckley T, Young J (2004) Improved resolution on the phylogenetic relationships among Pseudomonas by the combined analysis of atpD, carA, recA and 16S rDNA. Antonie van Leeuwenhoek 86(1): 51–64.
- 149. Maiden MCJ (2006) Multilocus sequence typing of bacteria. Annual Review of Microbiology 60: 561–588.
- 150. Guo Y, Zheng W, Rong X, Huang Y (2008) A multilocus phylogeny of the Streptomyces griseus 16S rRNA gene clade: use of multilocus sequence analysis for streptomycete systematics. International Journal of Systematic and Evolutionary Microbiology 58(Pt 1): 149–159.
- 151. Holt JG (1994) Bergey’s Manual of Determinative Bacteriology 9th edition. Williams & Wilkins, Baltimore.
- 152. Hanahan D (1983) Studies on transformation of Escherichia coli with plasmids. Journal of Molecular Biology 166(4): 557–580.
- 153. Van Domselaar GH, Stothard P, Shrivastava S, Cruz JA, Guo A, et al.. (2005) BASys: a web server for automated bacterial genome annotation. Nucleic Acids Research 33 (Web Server issue): W455–459.
- 154. Hemmerich C, Buechlein A, Podicheti R, Revanna KV, Dong Q (2010) An Ergatis-based prokaryotic genome annotation web server. Bioinformatics 26(8): 1122–1124.
- 155. Delcher AL, Bratke KA, Powers EC, Salzberg SL (2007) Identifying bacterial genes and endosymbiont DNA with Glimmer. Bioinformatics 23(6): 673–679.
- 156. Hyatt D, Chen GL, Locascio PF, Land ML, Larimer FW, et al. (2010) Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinformatics 11: 119.
- 157. Lagesen K, Hallin P, Rødland EA, Staerfeldt HH, Rognes T, et al. (2007) RNAmmer: consistent and rapid annotation of ribosomal RNA genes. Nucleic Acids Research 35(9): 3100–3108.
- 158. Lowe TM, Eddy SR (1997) tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence. Nucleic Acids Research 25(5): 955–964.
- 159. Tatusov RL, Koonin EV, Lipman DJ (1997) A genomic perspective on protein families. Science 278(5338): 631–637.
- 160. Tatusov RL, Fedorova ND, Jackson JD, Jacobs AR, Kiryutin B, et al. (2003) The COG database: an updated version includes eukaryotes. BMC Bioinformatics 4: 41.
- 161. Claudel-Renard C, Chevalet C, Faraut T, Kahn D (2003) Enzyme-specific profiles for genome annotation: PRIAM. Nucleic Acids Research 31(22): 6633–6639.
- 162. Bairoch A (2000) The ENZYME database in 2000. Nucleic Acids Research 28(1): 304–305.
- 163. Yu NY, Wagner JR, Laird MR, Melli G, Rey S, et al. (2010) PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes. Bioinformatics 26(13): 1608–1615.
- 164. Langille MG, Brinkman FS (2009) IslandViewer: an integrated interface for computational identification and visualization of genomic islands. Bioinformatics 25(5): 664–665.
- 165. Benson G (1999) Tandem repeats finder: a program to analyze DNA sequences. Nucleic Acids Research 27(2): 573–580.
- 166. Karp PD, Paley SM, Krummenacker M, Latendresse M, Dale JM, et al. (2010) Pathway Tools version 13.0: integrated software for pathway/genome informatics and systems biology. Briefings in Bioinformatics 11(1): 40–79.
- 167. Kanehisa M, Goto S, Kawashima S, Okuno Y, Hattori M (2004) The KEGG resource for deciphering the genome. Nucleic Acids Resarch 32(Database issue): 277–280.
- 168. Camacho C, Coulouris G, Avagyan V, Ma N, Papadopoulos J, et al. (2009) BLAST+: architecture and applications. BMC Bioinformatics 10: 421.
- 169. Carver TJ, Rutherford KM, Berriman M, Rajandream MA, Barrell BG, et al. (2005) ACT: the Artemis Comparison Tool. Bioinformatics 21(16): 3422–3423.
- 170. DeLuca TF, Wu IH, Pu J, Monaghan T, Peshkin L, et al. (2006) Roundup: a multi-genome repository of orthologs and evolutionary distances. Bioinformatics 22(16): 2044–2046.
- 171. Edgar RC (2004) MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Research 32(5): 1792–1797.
- 172. Gouy M, Guindon S, Gascuel O (2010) SeaView version 4: a multiplatform graphical user interface for sequence alignment and phylogenetic tree building. Molecular Biology and Evolution 27(2): 221–224.
- 173. Drummond AJ, Ashton B, Buxton S, Cheung M, Cooper A, et al.. (2011) Geneious v5.4, Available from http://www.geneious.com.
- 174. Abascal F, Zardoya R, Posada D (2005) ProtTest: Selection of best-fit models of protein evolution. Bioinformatics 21(9): 2104–2105.
- 175. Guindon S, Gascuel O (2003) A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Systematic Biology 52(5): 696–704.
- 176. Anisimova M, Gascuel O (2006) Approximate likelihood-ratio test for branches: A fast, accurate, and powerful alternative. Systematic Biology 55(4): 539–552.
- 177. Carver T, Thomson N, Bleasby A, Berriman M, Parkhill J (2009) DNAPlotter: circular and linear interactive genome visualization. Bioinformatics 25(1): 119–120.
- 178. Posada D (2008) jModelTest: Phylogenetic Model Averaging. Molecular Biology and Evolution 25(7): 1253–1256.
- 179. Jukes TH and Cantor CR (1969) Evolution of protein molecules. In Mammalian Protein Metabolism, vol 3, 21–132. Edited by HN Munro. New York, Academic Press.