Literature DB >> 27594974

High quality draft genome sequences of Pseudomonas fulva DSM 17717(T), Pseudomonas parafulva DSM 17004(T) and Pseudomonas cremoricolorata DSM 17059(T) type strains.

Arantxa Peña1, Antonio Busquets1, Margarita Gomila1, Magdalena Mulet1, Rosa M Gomila2, T B K Reddy3, Marcel Huntemann3, Amrita Pati3, Natalia Ivanova3, Victor Markowitz3, Elena García-Valdés4, Markus Göker5, Tanja Woyke3, Hans-Peter Klenk6, Nikos Kyrpides7, Jorge Lalucat4.   

Abstract

Pseudomonas has the highest number of species out of any genus of Gram-negative bacteria and is phylogenetically divided into several groups. The Pseudomonas putida phylogenetic branch includes at least 13 species of environmental and industrial interest, plant-associated bacteria, insect pathogens, and even some members that have been found in clinical specimens. In the context of the Genomic Encyclopedia of Bacteria and Archaea project, we present the permanent, high-quality draft genomes of the type strains of 3 taxonomically and ecologically closely related species in the Pseudomonas putida phylogenetic branch: Pseudomonas fulva DSM 17717(T), Pseudomonas parafulva DSM 17004(T) and Pseudomonas cremoricolorata DSM 17059(T). All three genomes are comparable in size (4.6-4.9 Mb), with 4,119-4,459 protein-coding genes. Average nucleotide identity based on BLAST comparisons and digital genome-to-genome distance calculations are in good agreement with experimental DNA-DNA hybridization results. The genome sequences presented here will be very helpful in elucidating the taxonomy, phylogeny and evolution of the Pseudomonas putida species complex.

Entities:  

Keywords:  Genome; Genomic Encyclopedia of Type Strains (GEBA); One Thousand Microbial Genomes Project (KMG-I); P. cremoricolorata; P. fulva; P. parafulva; Type strains

Year:  2016        PMID: 27594974      PMCID: PMC5009691          DOI: 10.1186/s40793-016-0178-2

Source DB:  PubMed          Journal:  Stand Genomic Sci        ISSN: 1944-3277


Introduction

During a taxonomic study of strains isolated from rice, petroleum fields and oil-brine in Japan, Iizuka and Komagata [1] proposed two new species in 1963, and (as cited in Uchino et al. [2]). These new species produced a water-insoluble yellow pigment, but not a water-soluble fluorescent pigment. Later, seven strains obtained from culture collections were re-characterized and compared with the strains of related species by Uchino and collaborators [2]. Phylogenetic analysis based on 16S rRNA sequences, experimental DNA-DNA hybridization results and phenotypic characteristics led to the proposal of two new species: (2 strains) and (1 strain). Three of the four remaining strains were maintained in the species , and the other strain was identified as P. straminaea [2]. In a multilocus sequence analysis, the type strains of , and clustered in the phylogenetic branch and are considered members of the group in the lineage [3]. The three species are taxonomically and ecologically closely related. Strains from these species have been isolated from rice paddy samples or from Japanese unhulled rice. strains have also been studied for their endophytic growth in Scots pines and for their roles in plant growth promotion and protection against plant pathogenic fungi [4, 5]. The antagonistic effect against plant pathogenic bacteria has also been demonstrated in other strains of [6]. Additionally, strains have been isolated from water collected from human-made container habitats of mosquitoes [7]. was one of the most abundant species found in a survey of pseudomonads in human homes [8], and very recently was identified as a member of a polymicrobial ventriculitis in humans [9]. The difficulty in identifying species closely related to in the clinical laboratory is highlighted by Rebolledo and collaborators [9]. Biosynthesis of medium-chain-length poly(3-hydroxyalkanoates) by a volatile aromatic hydrocarbons-degrading has been proposed as candidate for the biotechnological conversion of toxic petrochemical wastes to valuable biopolymers [10]. In the context of the Genomic Encyclopedia ofand Archaea (GEBA) project [11], the permanent, high quality draft genomes of the type strains of , and are presented. The genome sequences have been annotated, and the results are discussed in relation to the taxonomy of members of the phylogenetic group.

Organisms information

Classification and features

The type strains of the three species, DSM 17717 (=JCM 11242 =NRIC 0180), DSM 17004 (=AJ 2129T =JCM 11244 =NRIC 0501) and DSM 17059 (=JCM 11246 =NRIC 0181), were obtained from the DSMZ. All strains were isolated by Iizuka and Komagata [1, 2] from Japanese rice paddies and were initially proposed as members of the new species due to the deep yellow color of their colonies. was included in the Approved Lists of Bacterial Names [12]. Uchino and collaborators re-characterized several strains obtained as from culture collections and proposed two new species: (2 strains) and (1 strain) [2]. All three type strains shared the basic phenotypic traits of the genus : Gram-negative rods, motility via polar flagella, with strictly respiratory type of metabolism, catalase and oxidase activity and phylogenetic placement in the genus on the basis of 16S rRNA gene sequencing. None of the three species produced water-soluble fluorescent pigments but produced a characteristic water-insoluble yellow pigment. Colonies appear smooth, round, flat to convex and pale/creamy yellow on nutrient agar. The three species were differentiated from each other by several phenotypic tests: presence of the arginine dihydrolase pathway, growth at 37 °C and assimilation of D-ribose, D-mannose, adonitol, 2-keto-D-gluconate, butyrate, valerate, caprate, isovalerate, itaconate, citraconate, glycerate, levulinate, Tween 80, p-hydroxybenzoate, inosine, glycine, L-ornithine, L-citrulline and nicotinate. An extensive list of phenotypic characteristics can be found in the original publication by Uchino et al. [2]. The classification and general features of , and type strains are given in Tables 1, 2 and 3.
Table 1

Classification and general features of P. fulva DSM 17717T [36]

MIGS IDPropertyTermEvidence code
ClassificationDomain Bacteria TAS [37]
Phylum Proteobacteria TAS [38]
Class Gammaproteobacteria TAS [39]
Order Pseudomonadales TAS [40]
Family Pseudomonadaceae TAS [41]
Genus Pseudomonas TAS [42]
Species Pseudomonas fulva TAS [2]
(Type) strain: DSM 17717T
Gram stainnegativeTAS [2]
Cell shaperod-shapedTAS [2]
MotilitymotileTAS [2]
Sporulationnon-sporulatingTAS [2]
Temperature range4–37 °CTAS [2]
Optimum temperature30 °CTAS [2]
pH range; Optimum-NAS
Carbon sourcemonosaccharides, organic acids, alcohols, amino acids, aminesTAS [2]
MIGS-6Habitatrice paddiesTAS [2]
MIGS-6.3Salinity-NAS
MIGS-22Oxygen requirementaerobicTAS [2]
MIGS-15Biotic relationshipfree-livingTAS [2]
MIGS-14Pathogenicitynon-pathogenTAS [2]
MIGS-4Geographic locationJapanTAS [2]
MIGS-5Sample collection-NAS
MIGS-4.1Latitude-NAS
MIGS-4.2Longitude-NAS
MIGS-4.4Altitude-NAS
Table 2

Classification and general features of P. parafulva DSM 17004T [36]

MIGS IDPropertyTermEvidence code
ClassificationDomain Bacteria TAS [37]
Phylum Proteobacteria TAS [38]
Class Gammaproteobacteria TAS [39]
Order Pseudomonadales TAS [40]
Family Pseudomonadaceae TAS [41]
Genus Pseudomonas TAS [42]
Species Pseudomonas parafulva TAS [2]
(Type) strain: DSM 17004T
Gram stainnegativeTAS [2]
Cell shaperod-shapedTAS [2]
MotilitymotileTAS [2]
Sporulationnon- sporulatingTAS [2]
Temperature range4–37 °CTAS [2]
Optimum temperature30 °CTAS [2]
pH range; Optimum-TAS [2]
Carbon sourcemonosaccharides, organic acids, alcohols, amino acids, aminesTAS [2]
MIGS-6Habitatrice paddiesTAS [2]
MIGS-6.3Salinity-NAS
MIGS-22Oxygen requirementaerobicTAS [2]
MIGS-15Biotic relationshipfree-livingTAS [2]
MIGS-14Pathogenicitynon-pathogenTAS [2]
MIGS-4Geographic locationJapanTAS [2]
MIGS-5Sample collection-NAS
MIGS-4.1Latitude-NAS
MIGS-4.2Longitude-NAS
MIGS-4.4Altitude-NAS
Table 3

Classification and general features of P. cremoricolorata DSM 17059T [36]

MIGS IDPropertyTermEvidence code
ClassificationDomain Bacteria TAS [37]
Phylum Proteobacteria TAS [38]
Class Gammaproteobacteria TAS [39]
Order Pseudomonadales TAS [40]
Family Pseudomonadaceae TAS [41]
Genus Pseudomonas TAS [42]
Species Pseudomonas cremoricolorata TAS [2]
(Type) strain: DSM 17059T
Gram stainnegativeTAS [2]
Cell shaperod-shapedTAS [2]
MotilitymotileTAS [2]
Sporulationnon-sporulatingTAS [2]
Temperature range4–30 °CTAS [2]
Optimum temperature30 °CTAS [2]
pH range; Optimum-NAS
Carbon sourcemonosaccharides, organic acids, alcohols, amino acids, aminesTAS [2]
MIGS-6Habitatrice paddiesTAS [2]
MIGS-6.3Salinity-NAS
MIGS-22Oxygen requirementaerobicTAS [2]
MIGS-15Biotic relationshipfree-livingTAS [2]
MIGS-14Pathogenicitynon-pathogenTAS [2]
MIGS-4Geographic locationJapanTAS [2]
MIGS-5Sample collection-NAS
MIGS-4.1Latitude-NAS
MIGS-4.2Longitude-NAS
MIGS-4.4Altitude-NAS
Classification and general features of P. fulva DSM 17717T [36] Classification and general features of P. parafulva DSM 17004T [36] Classification and general features of P. cremoricolorata DSM 17059T [36]

Chemotaxonomic data

As reported by Uchino and collaborators [2] the DNA GC-content of the three type strains, as determined by chemical analysis, was 60.0 mol % in and and 62.1 mol % in . The percentages of G + C bases based on the genome analysis were 61.71 % for DSM 17717, 62.42 % for DSM 17004 and 63.47 % for DSM 17059. The GC-contents determined by chemical analysis were slightly lower than those inferred from genome sequences. The predominant respiratory quinone was ubiquinone Q-9, but Q-8 and Q-10 were also detected in smaller amounts. The major cellular fatty acids were C16:0, C16:1 and C18:1, and the major 3-hydroxy fatty acids were C10:0 and C12:0 [2]. For protein analysis, cells were cultured in Luria-Bertani broth aerobically, with shaking at 30 °C, harvested in the exponential growth phase and prepared for Whole-cell MALDI-TOF MS analysis using an Autoflex III mass spectrometer (Bruker Daltonik, Germany) as recommended by the manufacturer. Protein profiles clearly distinguished the type strains in the phylogenetic group [3]. A list of major proteins that met a minimum intensity threshold of 700, a minimum signal to noise threshold of 15, and a mass to charge ratio (m/z) higher than 3,000 and lower than 10,000 is included in Additional file 1.

Extended feature descriptions

Phylogenetic trees were reconstructed using different methods, namely the maximum-likelihood, maximum-parsimony and neighbor-joining algorithms integrated in MEGA version 6 bioinformatics package [13], and also using the FastME 2.0 phylogeny inference program [14]. All phylogenetic trees tested showed similar topologies and the same strain groupings. The derived phylogeny of the species in the phylogenetic group based on 16S rDNA gene sequencing had low resolution, and the bootstrap values of branches were low (Fig. 1a). Therefore, a phylogenetic tree based on a multilocus sequence analysis with the partial sequences of three housekeeping genes (16S rDNA, gyrB, and rpoD) was constructed as recommended by Mulet et al. [3] (Fig. 1b). Most branches were supported in the MLSA phylogenetic tree by high bootstrap values, and all type strains were clearly separated in the phylogenetic group. The strain groupings (///; /// and //) were maintained in all trees. ‘’NCCB 100446 (proposed as a new species [15], but not yet validated) and DSM 21245 branches were supported by low bootstrap values, and their positions varied in the trees.
Fig. 1

a Phylogenetic tree based on the almost complete sequence of the 16S rRNA gene of the type strains of the species in the P. putida phylogenetic group. Evolutionary distances were computed with MEGA (version 6) using the Jukes-Cantor method [13]. Dendrogram was generated by the Neighbor-Joining method. The bar indicates the number of base substitutions per site (1264 positions in final dataset). Percentage bootstrap values above 50 % (from 1000 replicates) are indicated at the nodes. b Phylogenetic tree based on concatenated 16S rRNA, gyrB and rpoD partial gene sequences of the type strains of species in the P. putida phylogenetic group. Evolutionary distances were computed with MEGA (version 6) using the Jukes-Cantor method [13]. Dendrogram was generated by the Neighbor-Joining method. The bar indicates the number of base substitutions per site (2758 positions in the final dataset). Percentage bootstrap values above 50 % (from 1000 replicates) are indicated at the nodes. The black dots indicate nodes maintained in all phylogenetic trees tested

a Phylogenetic tree based on the almost complete sequence of the 16S rRNA gene of the type strains of the species in the P. putida phylogenetic group. Evolutionary distances were computed with MEGA (version 6) using the Jukes-Cantor method [13]. Dendrogram was generated by the Neighbor-Joining method. The bar indicates the number of base substitutions per site (1264 positions in final dataset). Percentage bootstrap values above 50 % (from 1000 replicates) are indicated at the nodes. b Phylogenetic tree based on concatenated 16S rRNA, gyrB and rpoD partial gene sequences of the type strains of species in the P. putida phylogenetic group. Evolutionary distances were computed with MEGA (version 6) using the Jukes-Cantor method [13]. Dendrogram was generated by the Neighbor-Joining method. The bar indicates the number of base substitutions per site (2758 positions in the final dataset). Percentage bootstrap values above 50 % (from 1000 replicates) are indicated at the nodes. The black dots indicate nodes maintained in all phylogenetic trees tested

Genome sequencing information

Genome project history

Sequencing of the three type strains is part of Genomic Encyclopedia of Type Strains, Phase I: the one thousand microbial genomes (KMG-I) project [16], a follow-up of the GEBA pilot project [11, 17]. Project information is deposited in the Genomes on Line Database (GOLD) [18], and the high quality draft genome sequence is deposited in GenBank and in the Integrated Microbial Genomes database (IMG) [19]. Draft sequencing, initial gap closure and annotation were performed by the DOE Joint Genome Institute (JGI) using state-of-the-art sequencing technology [20]. A summary of the project information is shown in Table 4. Genbank IDs are as follows: JHYU00000000 for DSM 17717, AUEB00000000 for DSM 17004 and AUEA00000000 for DSM 17059.
Table 4

Project information for P. fulva DSM 17717T, P. parafulva DSM 17004T, and P. cremoricolorata DSM 17059T

P. fulva DSM 17717T P. parafulva DSM 17004T P. cremoricolorata DSM 17059T
MIGS IDPropertyTermTermTerm
MIGS 31Finishing qualityPermanent Draft, High-quality draftPermanent Draft, High-quality draftPermanent Draft, High-quality draft
MIGS-28Libraries usedIllumina Regular Fragment, 270bpIllumina Regular Fragment, 270bpIllumina Regular Fragment, 270bp
MIGS 29Sequencing platformsIllumina HiSeq 2000, Illumina HiSeq 2500Illumina HiSeq 2000, Illumina HiSeq 2500Illumina HiSeq 2000, Illumina HiSeq 2500
MIGS 31.2Fold coverageUnknownUnknownUnknown
MIGS 30AssemblersvpAllpaths v. r46652Unknown program v. before 2013–03–26Unknown program v. before 2013–03–26
MIGS 32Gene calling methodProdigal 2.5Prodigal 2.5Prodigal 2.5
Locus TagQ382H619H618
Genbank IDJHYU00000000AUEB00000000AUEA00000000
GenBank Date of ReleaseMay 5, 2014Dec 12, 2014Dec12, 2013
GOLD IDGi0045700Gp0021954Gi18319
BIOPROJECTPRJNA221053PRJNA188912PRJNA188911
IMG Taxon ID255692164925235335472523533534
MIGS 13Source Material IdentifierDSM 17717DSM 17004DSM 17059
Project relevanceGEBA-KMG, Tree of LifeGEBA-KMG, Tree of LifeGEBA-KMG, Tree of Life
Project information for P. fulva DSM 17717T, P. parafulva DSM 17004T, and P. cremoricolorata DSM 17059T

Growth conditions and genomic DNA preparation

DSM 17717, DSM 17004 and DSM 17059 were cultured aerobically in Luria-Bertani medium, with shaking at 30°C, to the early stationary phase. Genomic DNA was extracted and purified with a Promega Wizard® Genomic DNA Purification kit, following the manufacturer’s instructions. DNA quality and quantity were determined with a Nanodrop spectrometer (Thermo Scientific, Wilmington, USA).

Genome sequencing and assembly

An Illumina standard shotgun library was constructed and sequenced using the Illumina HiSeq 2000 platform. For , 16,075,374 reads were generated, totaling 2,411.3 Mb, of which 1,500 Mb were used in an assembly, resulting in an average coverage of 312.5x. For , 14,015,748 reads were generated, totaling 2,102.4 Mb, of which 607.0 Mb were used in an assembly, resulting in an average coverage of 122x. For , 11,621,460 reads were generated, totaling 1,743.2 Mb, of which 569.4 Mb were used in an assembly, resulting in an average coverage of 122x. Illumina sequencing and library artifacts were removed using Duk filtering (L. Mingkun, A. Copeland, and H. J. Duk, unpublished data). Filtered Illumina reads were assembled using Velvet (version 1.1.04) [21], simulated paired-end reads were created from Velvet contigs using wgsim and simulated read pairs were reassembled using Allpaths-LG (version r42328) [22].

Genome annotation

Protein-coding genes were identified using Prodigal [23], as part of the DOE-JGI genome annotation pipeline [24]. Additional gene prediction analysis and manual functional annotation were performed within the Integrated Microbial Genomes (IMG) platform, which provides tools for analyzing and reviewing the structural and functional annotations of genomes in a comparative context [19]. Genome annotation procedures are detailed in Markowitz et al. [19] and references therein. Briefly, the predicted CDSs were translated and used to search the NCBI nonredundant database, UNIProt, TIGRFam, Pfam, KEGG, COG and InterPro databases. Transfer RNA genes were identified using the tRNAScan-SE tool and other non-coding RNAs were found using INFERNAL. Ribosomal RNA genes were predicted using hmmsearch against the custom models generated for each type of rRNA.

Genome properties

The assembly of the three genomes consisted of 4.7 Mb in 48 scaffolds for , 4.9 Mb in 33 scaffolds for and 4.6 Mb in 27 scaffolds for (Table 5). The G + C content for each strain was 61.72, 62.42 and 63.47 %, respectively. The majority of protein-coding genes (78.96, 80.59 and 79.68 %) were assigned a putative function. The properties and statistics of the genomes are summarized in Table 5, and the number of genes associated with general COG functional categories is shown in Table 6.
Table 5

Genome statistics for P. fulva DSM 17717T, P. parafulva DSM 17004T and P. cremoricolorata DSM 17059T

Attribute P. fulva DSM 17717T P. parafulva DSM 17004T P. cremoricolorata DSM 17059T
Value% of Totala Value% of Totala Value% of Totala
Genome size (bp)4,770,636100.004,958,587100.004,660,374100.00
DNA coding (bp)4,280,44289.724,475,42390.264,196,31890.04
DNA G + C (bp)2,943,91261.723,095,09962.422,958,08263.47
DNA scaffolds/contigsb 48/54100.0033/40100.0027/27100.00
Total genes4,397100.004,575100.004,238100.00
Protein-coding genes4,27897.294,45997.464,11997.19
RNA genes1192.711162.541192.81
Pseudo genes00.0000.0000.00
Genes in internal clusters44810.194219.203818.99
Genes with function prediction3,47278.963,68780.593,37779.68
Genes assigned to COGs3,16271.913,37173.683,07472.53
Genes with Pfam domains3,70784.313,89285.073,58884.66
Genes with signal peptides44310.0847610.4044810.57
Genes with transmembrane helices94121.4099221.6891021.47
CRISPR repeats00.0000.0000.00

aThe total is based on either the size of the genome in base pairs or the total number of protein coding genes in the annotated genome

bNumber of DNA scaffolds and contigs, available in the JGI website and NCBI databases, respectively

Table 6

Number of genes associated with general COG functional categories for P. fulva DSM 17717T, P. parafulva DSM 17004T, and P. cremoricolorata DSM 17059T

Code P. fulva DSM 17717T P. parafulva DSM 17004T P. cremoricolorata DSM 17059T Description
Value% ageValue% ageValue% age
J2255.122375.182305.43Translation, ribosomal structure and biogenesis
A10.0210.0210.02RNA processing and modification
K2816.393176.932746.47Transcription
L1152.621212.641162.74Replication, recombination and repair
B20.0540.0910.02Chromatin structure and dynamics
D370.84380.83380.90Cell cycle control, Cell division, chromosome partitioning
V701.59781.70691.63Defense mechanisms
X320.73300.66441.04Mobilome: prophages, transposons
W170.39170.37130.31Extracellular structures
T2465.592675.842305.43Signal transduction mechanisms
M2024.592204.812084.91Cell wall/membrane biogenesis
N1072.431102.40972.29Cell motility
U611.39561.22731.72Intracellular trafficking and secretion
O1373.121403.061373.23Posttranslational modification, protein turnover, chaperones
C2405.462535.532125.00Energy production and conversion
G1703.871733.781513.56Carbohydrate transport and metabolism
E3908.874279.333668.64Amino acid transport and metabolism
F882.00942.05781.84Nucleotide transport and metabolism
H2034.622094.571954.60Coenzyme transport and metabolism
I1683.821743.801693.99Lipid transport and metabolism
P2134.842405.252325.47Inorganic ion transport and metabolism
Q791.80962.10892.10Secondary metabolites biosynthesis, transport and catabolism
R2976.753116.802806.61General function prediction only
S1924.371984.331814.27Function unknown
-123528.09120426.32116427.47Not in COGs

The total is based on the total number of protein coding genes in the genome

Genome statistics for P. fulva DSM 17717T, P. parafulva DSM 17004T and P. cremoricolorata DSM 17059T aThe total is based on either the size of the genome in base pairs or the total number of protein coding genes in the annotated genome bNumber of DNA scaffolds and contigs, available in the JGI website and NCBI databases, respectively Number of genes associated with general COG functional categories for P. fulva DSM 17717T, P. parafulva DSM 17004T, and P. cremoricolorata DSM 17059T The total is based on the total number of protein coding genes in the genome

Insights from the genome sequence

Experimental DNA-DNA hybridizations were performed by Uchino et al. [2], following the fluorometric procedure proposed by Ezaki et al. [25]. Taxonomic genome comparisons were calculated by two different procedures: Average nucleotide identity based on BLAST was calculated with the JSpecies program [26]. Digital DDH similarities among the genomes of the three type strains were calculated using GGDC web server version 2.0 [27] under recommended settings. The results are given in Table 7 and are highly consistent. Experimental and dDDH values were clearly below the 70 species threshold, and ANIb was below the accepted 95–96 % species threshold. The type strains NBRC 16637 and NBRC 16636 have been sequenced at the NBRC, and the ANIb values between the genomes of the type strain pair DSM 17717 and NBRC 16637 were in 99.98 % agreement; the dDDH values were 100 % identical. The same results were obtained when comparing the type strain pair DSM 17004 and NBRC 16636 (99.95 and 100 % similarity for ANIb and GGDC results, respectively). Using the whole-genome ANI-based MiSI method [28], which is computed for all bacterial genomes in the Integrated Microbial Genomes system, DSM 17717 clustered in the same gANI clique with eight plant-associated genome-sequenced sp. not yet classified at the species level, with an intra-clique ANI of 99.57 %, indicating that the 9 strains belong genomically to the same species, . The strain NBRC 16637 is the equivalent type strain of the NITE (Biological Resource Center) and was included in the same clique. The GC-content variation within the clique was less than 1 % (61.58 %–61.88 %), which is proof of the value of draft genomes for taxonomy because the GC-content varies no more than 1 % within species [29], and all strains in the clique should be considered strains in the same genomic species [28]. Three additional genomes of strains identified as , and , available in the Genbank database on June 17, 2015, were also analyzed. The completely sequenced genome of ND07 (CP009455) showed ANIb and dDDH values of 92 and 50 %, respectively, with DSM 17059, indicating a close relationship that is below the species threshold. The complete genome of CRS01-1 (CP009747) showed an ANIb value of 81 % with the type strain of , the closest related type strain. Finally, as was previously documented, the complete sequenced genome of strain 12-X (CP002727) demonstrated that it is clearly a distinct species, with an ANIb value of 75.24 % [30] with the type strain. In all three cases, the genome comparisons did not support a correct species affiliation of the strains.
Table 7

Experimental and digital genome similarities calculated for the P. fulva DSM 17717T, P. parafulva DSM 17007T and P. cremoricolorata DSM 17059T type strains

P. fulva DSM 17717T P. parafulva DSM 17007T P. cremoricolorata DSM 17059T
expa ANIbdDDHexpANIbdDDHexpANIbdDDH
P. fulva DSM 17717 T 1001001003482.4426.202479.4923.70
P. parafulva DSM 17007T 4382.4426.201001001003280.0824.30
P. cremoricolorata DSM 17059 T 3979.4923.703480.0824.30100100100

Data are given in percentage. Experimental data have been retrieved from Uchino et al. [2]

aExperimental results

Experimental and digital genome similarities calculated for the P. fulva DSM 17717T, P. parafulva DSM 17007T and P. cremoricolorata DSM 17059T type strains Data are given in percentage. Experimental data have been retrieved from Uchino et al. [2] aExperimental results The presence of genes related to carbohydrate and amino acid transport and metabolism is relevant for the fitness of environmental bacteria. These genes represent 12–13 % of the total genes detected in the three strains, and they also have taxonomic consequences. Substrate utilization is an essential criterion for taxonomy, and several tests routinely used in identifications have been employed in the present study. Catalase and superoxide dismutase are relevant enzymes for protecting the cell against reactive oxygen and are characteristic of most . Catalase activity was detected by Uchino et al. [2] in , , and . Accordingly, 3 genes potentially coding for catalase were found in and , but only 2 were found in ; three genes coding for superoxide dismutase were detected in and P. cremoricolorta genomes, but only two were found in . Testing for the presence of the arginine dihydrolase (or arginine deiminase) pathway, in combination with other biochemical tests, can also be of diagnostic value [31]. The arginine dihydrolase pathway transforms arginine to ornithine with ATP gain and allows limited growth in several under anaerobic conditions. The arcA gene is present in the and genomes but is absent in , in accordance with the experimental data obtained by Uchino et al. [2]. All three strains were negative for nitrate reduction, nitrate respiration and PHB synthesis, and, accordingly, no gene related to these pathways was detected in any of the genomes. Cleavage of aromatic compounds was also tested using protocatechuate as a substrate; a gene coding for the protocatechuate 3,4-dioxygenase (3-oxoadipate pathway) was found in and but was absent in , confirming the ortho cleavage of the aromatic ring as reported by Uchino and collaborators [2]. All three strains possessed genes encoding key enzymes involved in glucose catabolism via the glycolysis, pentose-phosphate and 2-keto-3-deoxi-6 phosphogluconate pathways. The three species were recorded as amylase negative, but an alpha-amylase gene (amyA) was detected in all three genomes, indicating the potential ability to grow with starch as a substrate. Bacterial secretion systems transport proteins across the cell envelope of Gram-negative bacteria to the external milieu and are considered critical for persistence in an ecological niche and for conquering a new one [32]. Type VI secretion system seems to be the most common and appears to be confined to proteobacteria. The TVISS consists of 13 essential conserved genes, many of which contain a number of functionally accessory elements. Several TVISS are often present in a single genome [33]. They have been mainly studied for their pathogenic role in the interaction between bacteria and hosts, but TVISS seems to play a role in mutualistic relationships between bacteria and eukaryotic cells or between bacteria, as well. A set of 15 conserved TVISS genes were found in DSM 17717 but were absent in the other two strains. DSM 17717 also has three copies of a Rhs element Vgr protein not present in the other strains that can be exported by the TVISS, but its exact function is still not known. The possible role of TVISS genes in the pathogenesis or in the interactions of DSM 17717 with the environment remains to be elucidated. Prophage-like elements in microbial genomes represent one of the main contributors of mobile DNA, also known as the mobilome [34], and are the main reason for bacterial intraspecies variability. The prophage contribution to the bacterial genome is highly variable. It can represent up to 8 % of the total chromosomal DNA [35], but phages may also be absent. The mobilomes of , and were predicted to contain 32, 30, and 44 genes, respectively. In addition to transposases, integrases and regulatory elements, clusters of bacteriophage structural genes (6 to 13 genes in a cluster) were found in the 3 strains: 2 clusters in DSM 17717 (6 and 12 genes in each cluster), 2 in DSM 17004 (12 and 9 genes) and 3 in DSM 17059 (9, 13 and 10). CRISPR elements were not detected.

Conclusions

Genome comparisons confirmed the distinct species status of the three type strains analyzed, as well as the close relationships between them. The complete genome analysis also revealed important taxonomic results, highlighting the relevance of the correct species assignation of strains and the need for the genome sequences of species type strains to build a phylogenomic taxonomy. No discrepancies were found between the genome insights and the phenotypic traits previously published for the species. However, the gene content revealed potential properties not yet detected, such as the presence of secretion systems, whose relevance remains to be explored. The genome sequences of the three type strains will be very helpful in elucidating the phylogeny and evolution of the species complex, a relevant coherent group of closely-related species with important ecological and biotechnological implications.
  32 in total

1.  Velvet: algorithms for de novo short read assembly using de Bruijn graphs.

Authors:  Daniel R Zerbino; Ewan Birney
Journal:  Genome Res       Date:  2008-03-18       Impact factor: 9.043

Review 2.  Phage as agents of lateral gene transfer.

Authors:  Carlos Canchaya; Ghislain Fournous; Sandra Chibani-Chennoufi; Marie Lise Dillmann; Harald Brüssow
Journal:  Curr Opin Microbiol       Date:  2003-08       Impact factor: 7.934

3.  MEGA6: Molecular Evolutionary Genetics Analysis version 6.0.

Authors:  Koichiro Tamura; Glen Stecher; Daniel Peterson; Alan Filipski; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2013-10-16       Impact factor: 16.240

4.  Pseudomonas hunanensis sp. nov., isolated from soil subjected to long-term manganese pollution.

Authors:  Jian Gao; Bai-Yuan Li; Hai-Hua Wang; Zhi-Qiang Liu
Journal:  Curr Microbiol       Date:  2014-02-23       Impact factor: 2.188

5.  The Genomes OnLine Database (GOLD) v.5: a metadata management system based on a four level (meta)genome project classification.

Authors:  T B K Reddy; Alex D Thomas; Dimitri Stamatis; Jon Bertsch; Michelle Isbandi; Jakob Jansson; Jyothi Mallajosyula; Ioanna Pagani; Elizabeth A Lobos; Nikos C Kyrpides
Journal:  Nucleic Acids Res       Date:  2014-10-27       Impact factor: 16.971

6.  Differential habitat use and niche partitioning by Pseudomonas species in human homes.

Authors:  Susanna K Remold; Christopher K Brown; Justin E Farris; Thomas C Hundley; Jessica A Perpich; Megan E Purdy
Journal:  Microb Ecol       Date:  2011-04-19       Impact factor: 4.552

7.  The minimum information about a genome sequence (MIGS) specification.

Authors:  Dawn Field; George Garrity; Tanya Gray; Norman Morrison; Jeremy Selengut; Peter Sterk; Tatiana Tatusova; Nicholas Thomson; Michael J Allen; Samuel V Angiuoli; Michael Ashburner; Nelson Axelrod; Sandra Baldauf; Stuart Ballard; Jeffrey Boore; Guy Cochrane; James Cole; Peter Dawyndt; Paul De Vos; Claude DePamphilis; Robert Edwards; Nadeem Faruque; Robert Feldman; Jack Gilbert; Paul Gilna; Frank Oliver Glöckner; Philip Goldstein; Robert Guralnick; Dan Haft; David Hancock; Henning Hermjakob; Christiane Hertz-Fowler; Phil Hugenholtz; Ian Joint; Leonid Kagan; Matthew Kane; Jessie Kennedy; George Kowalchuk; Renzo Kottmann; Eugene Kolker; Saul Kravitz; Nikos Kyrpides; Jim Leebens-Mack; Suzanna E Lewis; Kelvin Li; Allyson L Lister; Phillip Lord; Natalia Maltsev; Victor Markowitz; Jennifer Martiny; Barbara Methe; Ilene Mizrachi; Richard Moxon; Karen Nelson; Julian Parkhill; Lita Proctor; Owen White; Susanna-Assunta Sansone; Andrew Spiers; Robert Stevens; Paul Swift; Chris Taylor; Yoshio Tateno; Adrian Tett; Sarah Turner; David Ussery; Bob Vaughan; Naomi Ward; Trish Whetzel; Ingio San Gil; Gareth Wilson; Anil Wipat
Journal:  Nat Biotechnol       Date:  2008-05       Impact factor: 54.908

8.  Phylogenomics and systematics in Pseudomonas.

Authors:  Margarita Gomila; Arantxa Peña; Magdalena Mulet; Jorge Lalucat; Elena García-Valdés
Journal:  Front Microbiol       Date:  2015-03-18       Impact factor: 5.640

9.  Genomic Encyclopedia of Type Strains, Phase I: The one thousand microbial genomes (KMG-I) project.

Authors:  Nikos C Kyrpides; Tanja Woyke; Jonathan A Eisen; George Garrity; Timothy G Lilburn; Brian J Beck; William B Whitman; Phil Hugenholtz; Hans-Peter Klenk
Journal:  Stand Genomic Sci       Date:  2013-12-17

10.  A type VI secretion system is involved in Pseudomonas fluorescens bacterial competition.

Authors:  Victorien Decoin; Corinne Barbey; Dorian Bergeau; Xavier Latour; Marc G J Feuilloley; Nicole Orange; Annabelle Merieau
Journal:  PLoS One       Date:  2014-02-14       Impact factor: 3.240

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  1 in total

1.  Comparative genomics of the Pseudomonas corrugata subgroup reveals high species diversity and allows the description of Pseudomonas ogarae sp. nov.

Authors:  Daniel Garrido-Sanz; Miguel Redondo-Nieto; Marta Martin; Rafael Rivilla
Journal:  Microb Genom       Date:  2021-06
  1 in total

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