Literature DB >> 28300228

Complete genome sequence of Pseudomonas citronellolis P3B5, a candidate for microbial phyllo-remediation of hydrocarbon-contaminated sites.

Mitja N P Remus-Emsermann1, Michael Schmid2,3, Maria-Theresia Gekenidis1,4, Cosima Pelludat2, Jürg E Frey2, Christian H Ahrens2,3, David Drissner1.   

Abstract

Pseudomonas citronellolis is a Gram negative, motile gammaproteobacterium belonging to the order Pseudomonadales and the family Pseudomonadaceae. We isolated strain P3B5 from the phyllosphere of basil plants (Ocimum basilicum L.). Here we describe the physiology of this microorganism, its full genome sequence, and detailed annotation. The 6.95 Mbp genome contains 6071 predicted protein coding sequences and 96 RNA coding sequences. P. citronellolis has been the subject of many studies including the investigation of long-chain aliphatic compounds and terpene degradation. Plant leaves are covered by long-chain aliphates making up a waxy layer that is associated with the leaf cuticle. In addition, basil leaves are known to contain high amounts of terpenoid substances, hinting to a potential nutrient niche that might be exploited by P. citronellolis. Furthermore, the isolated strain exhibited resistance to several antibiotics. To evaluate the potential of this strain as source of transferable antibiotic resistance genes on raw consumed herbs we therefore investigated if those resistances are encoded on mobile genetic elements. The availability of the genome will be helpful for comparative genomics of the phylogenetically broad pseudomonads, in particular with the sequence of the P. citronellolis type strain PRJDB205 not yet publicly available. The genome is discussed with respect to a phyllosphere related lifestyle, aliphate and terpenoid degradation, and antibiotic resistance.

Entities:  

Keywords:  Alkane degradation; Bioremediation potential; Complete genome; Nonhybrid de novo assembly; PacBio; Phyllosphere; Pseudomonad; Terpenoid degradation

Year:  2016        PMID: 28300228      PMCID: PMC5037603          DOI: 10.1186/s40793-016-0190-6

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


Introduction

The genus encompasses a large group of bacteria that are ecologically and functionally very diverse including many human and plant pathogenic species [1], but also species with mutualistic host interactions, the most prominent examples of which are biocontrol strains that protect plants from pathogens [2-4]. Due to their versatile properties and pathogenicity, pseudomonads garnered much attention in recent years and members of the genus have been the subject of full genome sequencing projects, i.e. at the time of writing the Genome Database contained 98 complete genomes and 1447 draft genomes [5]. Up till now, this database is heavily biased towards pathogenic species, most prominently including 996 human-pathogenic strains and 105 plant pathogenic strains. Taking into account the assigned species of the sequenced strains only, roughly a third (76 of 199) of the validly published species [6] have been sequenced. Thus, a comprehensive picture of genetic diversity within the pseudomonads is lacking and investigating thus far unsequenced species will fill this knowledge gap. has long been recognized for its ability to degrade hydrocarbons such as isoprenoid compounds including citronellol, hence its name [7], and complex oily sludge contaminations [8], indicating the species might potentially serve as bioremediation organism by cleaning up oil contaminated sites. The described strain was isolated from plant leaf material. Interestingly, plant leaves are covered by a cuticle consisting of cutin, an esterified aliphatic polymer [9] that is impregnated and overlaid by intra- and epi-cuticular waxes consisting of very long-chain aliphatic compounds, including alkanes, alcohols, and fatty acids [10]. The ability of to degrade aliphatic compounds leads to the intriguing possibility that the bacterium may be able to exploit aliphatic compounds as a nutrient source during leaf surface colonization. Furthermore, the ability of to also degrade terpenoid compounds [11] is another interesting feature that might enable this species to degrade the abundantly available terpene compounds from herbal plants [12] and hence may represent a growth advantage over other phyllosphere bacteria on such hosts. has previously been used as a model organism to investigate metabolic pathways and enzyme activity, such as glucose catabolism and gluconeogenesis [13], acyl-coenzyme A carboxylases [14], and terpene degradation [11]. The complete genome of described here represents a useful resource for the ongoing environmental and physiological research in this species, and can serve as a starting point for detailed systems biology studies [15], at least until the genome sequence of the type strain PRJDB205 becomes available. We present a summary, classification and general physiological features of the strain P3B5, as well as the genomic sequence, assembly, annotation, and its putative adaptations to a phyllosphere lifestyle.

Organism information

Classification and features

The species was proposed and described by Seubert [7] and isolated from soil collected under pine trees in northern Virginia, USA. is a Gram negative, rod-shaped, gammaproteobacterium that is approximately 2 μm in length and 0.5 μm in width (Fig. 1a), motile by one polar flagellum, and non-spore-forming [7]. On Lysogeny Broth agar forms white, round colonies (Fig. 1b), that produce green fluorescent pigments after several days of incubation. Grown in liquid M9 minimal medium the production of green fluorescent pigments is even more pronounced (Fig. 1c).
Fig. 1

a Scanning-electron micrograph of P. citronellolis P3B5. b P. citronellolis P3B5 grown on LB agar for 4 days. c P. citronellolis P3B5 grown in M9 minimal medium for 20 h excited by UV light exhibiting strong fluorescence. d Growth of P. citronellolis P3B5 was analyzed by measuring the optical density at 600 nm at the different temperatures for 24 h. 12 to 15 replicate measurements were performed for each temperature. By plotting the observed growth rate during the exponential growth phase at different temperatures, it was determined that the ideal growth temperature of P. citronellolis P3B5 is around 37 °C. No growth was observed at 4 °C

a Scanning-electron micrograph of P. citronellolis P3B5. b P. citronellolis P3B5 grown on LB agar for 4 days. c P. citronellolis P3B5 grown in M9 minimal medium for 20 h excited by UV light exhibiting strong fluorescence. d Growth of P. citronellolis P3B5 was analyzed by measuring the optical density at 600 nm at the different temperatures for 24 h. 12 to 15 replicate measurements were performed for each temperature. By plotting the observed growth rate during the exponential growth phase at different temperatures, it was determined that the ideal growth temperature of P. citronellolis P3B5 is around 37 °C. No growth was observed at 4 °C The here-described P3B5 was recovered from healthy basil leaves. The species was initially identified by MALDI biotyping using a MicroFlex MALDI-TOF mass spectrometer, and the MALDI Biotyper DB V4.0.0.1 (Bruker Daltonics, Germany). MALDI biotyping has been shown to be able to identify pseudomonads at the species level with high accuracy [16, 17]. To isolate bacteria from the basil phyllosphere, 30 g of plant material were suspended in 100 ml peptone water (9 g/L NaCl, 1 g/L tryptone (Merck, Germany)), processed for 3 min in a stomacher (Smasher, AES Chemunex, France) and 100 μL aliquots of the resulting supernatant were plated onto different media, including the selective TBX agar (Oxoid, UK). P3B5 was isolated from the background microbiota on TBX agar, i.e. non-target bacteria growing on the agar, indicating that utilizes similar compounds as . Furthermore, since the incubation took place at 44 °C, it is able to grow at high temperatures. However, the characteristic blue color indicative for colonies on TBX agar was not formed by , indicating the absence of a functional β-glucuronidase in its genome. During the survey not only P3B5, but additional, not further characterized isolates were frequently detected in marjoram and basil phyllosphere samples, implying to be part of the plants indigenous phyllosphere communities. Pseudomonads are common colonizers of the phyllosphere [18] and can contribute to large proportions of its bacterial community [19-21]. To phylogenetically place P3B5, a phylogenetic tree was constructed by multiple genome alignment using the program progressiveMauve with standard parameters [22] (Fig. 2). From each thus far sequenced species one representative strain, if possible a type strain, was chosen. Only complete genomes were considered. As outgroup species pv. campestrisATCC 33913 was chosen. A summary of the classification and general features of P3B5 is given in Table 1.
Fig. 2

Phylogenetic tree of the genus Pseudomonas highlighting the position of P. citronellolis P3B5 relative to other representative Pseudomonas species. Xanthomonas campestris pv. campestris ATCC 33913 was chosen as outgroup. The tree is based on whole genome alignment. The bar reflects normalized pairwise genomic distance between genomes based on their shared genomic content. Accession numbers of the used strains are reported in Additional file 1: Table S1. The overall topology is confirmed by a phylogenetic tree based on MLSA with good bootstrap support (Additional file 2: Figure S2)

Table 1

Classification and general features of P. citronellolis P3B5 [30]

MIGS IDPropertyTermEvidence codea
ClassificationDomain Bacteria TAS [62]
Phylum Proteobacteria TAS [63]
Class Gammaproteobacteria TAS [64]
Order Pseudomonadales TAS [65, 66]
Family Pseudomonadaceae TAS [66, 67]
Genus Pseudomonas TAS [66, 68]
Species Pseudomonas citronellolis TAS [7, 23, 66]
Type strain LMG 21218TAS [7]
Gram stainNegativeTAS [7]
Cell shapeRodTAS [7]
MotilityMotileTAS [7]
SporulationNot reportedTAS [7]
Temperature range18–42 °CIDA
Optimum temperature37 °CIDA
pH range; Optimumnot determinedIDA
Carbon sourceSee paragraph “biochemical profiling”IDA
MIGS-6HabitatSoil, phyllosphereTAS [7], IDA
MIGS-6.3Salinity1–5 % NaCl (w/v)IDA
MIGS-22Oxygen requirementAerobicTAS [7]
MIGS-15Biotic relationshipFree living, symbiontTAS [7], IDA
MIGS-14PathogenicityNon-pathogenNAS
MIGS-4Geographic locationSwitzerland/Zurich areaIDA
MIGS-5Sample collection02.07.2015IDA
MIGS-4.1Latitude47°45′37 NIDA
MIGS-4.2Longitude8°4′37 EIDA
MIGS-4.4Altitude521 mIDA

a Evidence codes–IDA Inferred from Direct Assay, TAS Traceable Author Statement (i.e., a direct report exists in the literature), NAS Non-traceable Author Statement (i.e., not directly observed for the living, isolated sample, but based on a generally accepted property for the species, or anecdotal evidence). These evidence codes are from the Gene Ontology project [69]

Phylogenetic tree of the genus Pseudomonas highlighting the position of P. citronellolis P3B5 relative to other representative Pseudomonas species. Xanthomonas campestris pv. campestris ATCC 33913 was chosen as outgroup. The tree is based on whole genome alignment. The bar reflects normalized pairwise genomic distance between genomes based on their shared genomic content. Accession numbers of the used strains are reported in Additional file 1: Table S1. The overall topology is confirmed by a phylogenetic tree based on MLSA with good bootstrap support (Additional file 2: Figure S2) Classification and general features of P. citronellolis P3B5 [30] a Evidence codes–IDA Inferred from Direct Assay, TAS Traceable Author Statement (i.e., a direct report exists in the literature), NAS Non-traceable Author Statement (i.e., not directly observed for the living, isolated sample, but based on a generally accepted property for the species, or anecdotal evidence). These evidence codes are from the Gene Ontology project [69]

Biochemical profiling

To perform a detailed biochemical characterization of P3B5, it was cultivated overnight in 25 mL MM2 medium containing l-asparagin and sorbitol (4 g l−1 L-asparagine, 2 g l−1 K2HPO4, 0.2 g l−1 MgSO4, 3 g l−1 NaCl, 10 g l−1 sorbitol) at 28 °C and 240 rpm, before it was harvested by centrifugation at 3500 × g for 10 min. The harvested cells were washed thrice in 1 × PBS buffer (8 g l−1 NaCl, 0.2 g l−1 KCl, 1.44 g l−1 Na2HPO4, 0.24 g l−1 KH2PO4, pH 7), before they were resuspended and diluted in 1 × PBS to reach an optical density of OD600nm = 0.1. This suspension was then used for inoculation of Biolog GN2, GenIII, and AN plates (Biolog Inc, USA), which were incubated for several days at 28 °C and analyzed for changes of their optical density at 590 nm using a microtiter plate reader (Infinite M200, Tecan, Switzerland). Analysis of the GN2 plates revealed that P3B5 was able to utilize the following wide range of substrates: 2-aminoethanol, α-ketoglutaric acid, α-d-glucose, β-hydroxy butyric acid, bromo succinic acid, cis-aconitic acid, citric acid, d-alanine, d-cellobiose, d-fructose, d-galactonic acid lactone, d-galacturonic acid, d-gluconic acid, d-mannitol, d-mannose, d-melibiose, d-raffinose, d,l-α-glycerol phosphate, d,l-lactic acid, γ-amino butyric acid, glucose-1-phosphate, glucose-6-phosphate, hydroxy-l-proline, inosine, itaconic acid, l-alanine, l-arabinose, l-asparagine, l-aspartic acid, l-glutamic acid, l-histidine, l-proline, l-pyroglutamic acid, methyl pyruvate, mono-methyl-succinate, p-hydroxy phenylacetic acid, propionic acid, putrescine, quinic acid, sebacic acid, succinamic acid, succinic acid, sucrose, tween 40, tween 80, and urocanic acid. On Biolog GenIII plates, the following additional substrates were utilized: Acetic acid, α-hydroxy-butyric acid, α-ketobutyric acid, d-fructose-6-phosphate, d-galactose, d-glucose-6-phosphate, d-glucuronic acid, d-malic acid, d-maltose, d-trehalose, formic acid, l-arginine, l-galactonic acid lactone, l-lactic acid, l-malic acid, N-acetyl-d-neuramic acid, and pectin. In contrast to previously described strains, P3B5 could not utilize d-mannitol, glycerol, d,l-carnitine, d-psicose, l-alanyl-glycine, and formic acid. However, compared to the previously described strains, P3B5 additionally utilized α-d-lactose, d-galactose, d-glucose-6-phosphate, d-glucuronic acid, d-maltose, d-mannitol, d-melibiose, d-raffinose, d-saccharic acid, d-trehalose, d,l-α-glycerol phosphate, glucose-1-phosphate, glucose-6-phosphate, hydroxy-l-proline, inosine, l-arabinose, l-galactonic acid lactone, N-acetyl-d-glucosamine, sucrose, and thymidine [7, 23]. The following compounds, that have not been tested in previous studies, were also utilized by P3B5: α-hydroxy-butyric acid, α-ketobutyric acid, d-fructose-6-phosphate, d-mannose, fumaric acid, l-alanyl-l-histidine, l-alanyl-l-glutamine, l-glutamine, l-lactic acid, l-pyroglutamic acid, l-rhamnose, l-valine plus l-aspartic acid, N-acetyl-d-neuramic acid, p-hydroxy phenylacetic acid, pyruvic acid, quinic acid, and succinamic acid. In summary, based on the tested set of substrates, P3B5 appears to be metabolically more versatile than previously isolated strains, which might reflect an adaptation to the phyllosphere environment.

Growth of P3B5 at different temperatures

was incubated in 12 to 15 replicates each at 44, 42, 37, 33, 28, 20, and 16 °C in tryptic soy broth (Oxoid, UK) in a Bioscreen C MBR microwell growth analysis platform (Oy Growth Curves Ab Ltd, Finland). Absorbance at OD600nm was determined every 30 min for a total of 24 h and the specific growth rate of the strain was derived from the exponential growth phase of the cultures. Growth rate at 4 °C was estimated by incubating a 200 mL shake flask filled with 50 mL tryptic soy broth in a cold room for several days and measuring absorbance at OD600nm after 7 and 9 days using a spectrophotometer (BioPhotometer Plus, Eppendorf, Germany). P3B5 is able to grow over a wide range of temperatures, i.e. from 16 to 42 °C, with optimal growth ~37 °C (Fig. 1d), however, it is unable to grow at 4 °C.

Resilience to abiotic factors and antibiotic resistance

On Biolog GenIII plates, P3B5 was able to grow to the same optical density as the positive control in 2 % NaCl solution, to a lower optical density in 5 % NaCl solution, and was unable to grow in 9 % NaCl solution. It was not inhibited by 1 % sodium lactate, rifamycin SV, minocycline, lincomycin, niaproof 4, vancomycin, nalidixic acid, potassium tellurite, and aztreonam. Growth, however not to the same optical density as the positive control, was observed in the presence of fusidic acid, troleandomycin, guanidine HCl, and sodium bromate. No significant growth was detected in presence of d-serine, lithium chloride, and sodium butyrate. Pseudomonads were previously described to be key players in propagating plasmids, including ABR bearing plasmids, in the phyllosphere [24-28]. Therefore, additional ABR exhibited by P3B5 were determined in antibiotic disc diffusion assays [29]. Out of the tested 32 clinically relevant antibiotics or antibiotic combinations, P3B5 was resistant against ten antibiotics or combinations including the β-lactams cefoxitin, cefpodoxime, cefuroxime, temocillin, cephalothin, cefotaxime, the β-lactam/β-lactamase inhibitor mix amoxicillin/clavulanic acid, and several antibiotics of other classes, i.e. trimethoprim, trimethoprim/sulfamethoxazole, nitrofurantoin, and fosfomycin. P3B5 was not resistant against the following tested antibiotics: cefepime, colistin, tobramycin, gentamycin, amikacin, ciprofloxacin, levofloxacin, sulfonamide, imipenem, and ceftazidime. Resistance was defined based on existing cutoffs, or, when no cutoff was available, as grown completely up to the antibiotic containing disc [29].

Genome sequencing information

Genome project history

The organism was selected for sequencing as part of an ongoing project investigating the bacterial diversity on the plant surface (i.e., the phyllobiome) of basil ( L.). The sequencing project was completed in December 2015; the sequencing data was deposited as a complete genome (one contig representing the complete genome of P3B5) in Genbank under BioProject PRJNA309370, with the accession number CP014158. The genome was sequenced with the Pacific Biosciences RS II platform (Microsynth AG, Switzerland). A summary of the project according to the MIGS version 2.0 [30] is given in Table 2.
Table 2

Project information

MIGS IDPropertyTerm
MIGS 31Finishing qualityComplete
MIGS-28Libraries used20 Kb PacBio library (BluePippin size selection)
MIGS 29Sequencing platformsPacBio RS II
MIGS 31.2Fold coverage148×
MIGS 30AssemblersHGAP.3
MIGS 32Gene calling methodProdigal 2.60
Locus TagPcP3B5
Genbank IDCP014158
GenBank Date of Release10.03.2016
BIOPROJECTPRJNA309370
MIGS 13Source Material IdentifierP3B5
Project relevancephyllosphere, environmental, biochemistry, and bioremediation
Project information

Growth conditions and genomic DNA preparation

To isolate gDNA, cells were grown overnight in terrific broth (12 g l−1 tryptone, 24 g l−1 yeast extract, 4 ml l−1 glycerol, 100 ml l−1 0.17 M KH2PO4, 0.72 M K2HPO4) at 30 °C and 250 rpm. gDNA was extracted using the GenElute Bacterial DNA Kit (Sigma-Aldrich, USA) according to the manufacturer’s recommendations. To concentrate gDNA, the primary eluate was precipitated using 5 M ammonium acetate and 100 % ethanol followed by a washing step using 70 % ethanol. The quality and quantity of the extracted DNA was evaluated on a 1.0 % (w/v) agarose gel, by measuring absorption ratios 260nm/280nm and 260nm/230nm, and additionally by performing a Qubit dsDNA GR assay (Life Technologies, USA). To determine the presence of plasmids, a plasmid extraction using the NucleoSpin Plasmid kit (Macherey-Nagel, Germany) was performed according to the manufacturer’s recommendations. However, no plasmids could be detected after running the sample on a 1.0 % (w/v) agarose gel.

Genome sequencing and assembly

The genome of P3B5 was sequenced with one SMRT cell resulting in a total of 1.35 Gbp. After quality filtering, 98,808 reads with a mean subread read length of 12,474 bp were obtained (Additional file 2: Figure S1). Subsequent de novo genome assembly and resequencing steps were performed using PacBio SMRT Portal 2.3.0 [31]. The assembly was generated using the PacBio SMRT Portal protocol RS_HGAP_Assembly.3. Terminal repeats were removed, the genome circularized and its start position was aligned with the dnaA gene using Circlator 1.1.2 [32]. Several rounds of sequence polishing using PacBio SMRT Portal protocol RS_Resequencing.1 with stringent filter criteria (“Minimum Polymerase Read Quality”: 84) were performed, resulting in one 6,951,444-bp contig with an average coverage depth of 148-fold. The assembly did not contain any plasmids and, since virtually all reads were mapped to the genome (97.1 %, other reads were of low quality or chimeric and could still be attributed to the chromosome after manual inspection), provided no evidence for the existence of plasmids. This is in line with the results of the agarose gel electrophoresis analysis described above.

Genome annotation

Genome annotation was performed using Prokka 1.11.0 [33] with ncRNA search enabled and incorporation of SignalP 4.1 to predict signal peptide cleavage sites [34]. The annotation of selected ORFs annotated as “misc_RNA” by Prokka was manually curated to conform to NCBI requirements. Predicted CDS were then searched against Pfam-A v27.0 [35] and TMHMM 2.0c [36] databases using InterProScan 5.13 [37]. COG categorization was performed by searching predicted CDS against the EggNOG 4.5 database using the specific dataset [38] and subsequent extraction of COG categories.

Genome properties

The properties of the complete genome sequence of P3B5 are summarized in Table 3. The average GC content was 67.11 %. Of the 6169 predicted genes, 6071 (98.41 %) were protein CDS of which 4762 genes had a function prediction. Genes without functional prediction by Prokka were annotated as “hypothetical protein”. Two pseudo genes (PcP3B5_29180 and PcP3B5_42810) were predicted by the NCBI annotation pipeline [39] and then incorporated into the Prokka annotation. Of the predicted protein coding genes, 5523 were assigned to COGs of 22 classes (Table 4, Fig. 3). Using the Pfam database, 5242 CDS were assigned to a protein family. Putative transmembrane domains were predicted for 1263 CDS. A signal peptide was predicted for 702 CDS. A total of 96 RNA genes were predicted including 15 rRNA (five complete rRNA operons each comprising a 23S, 16S and 5S rRNA gene), 76 tRNA, 1 tmRNA, and 4 ncRNA genes. Binding sites for cobalamin and thiamine pyrophosphate were predicted by the NCBI annotation pipeline. One CRISPR repeat was predicted by Prokka and further confirmed by CRISPRFinder [40] and PILER-CR [41]. However, no evidence for a Cas protein-coding gene was found in the genome. An analysis of putative prophages using PHAST [42] resulted in six hits in the genome, three of which were designated as intact prophages (PcP3B5_02970–PcP3B5_03410; PcP3B5_06890–PcP3B5_07120; PcP3B5_45940–PcP3B5_46520) and the other three as incomplete prophages (PcP3B5_40450–PcP3B5_40640; PcP3B5_40870–PcP3B5_41140; PcP3B5_46670–PcP3B5_46960). Genomic islands and ABR genes within genomic islands were predicted using IslandViewer 3 [43]. As references for genomic island analysis, the closely related genomes of B13, P. denitrificansATCC 13867, PAO1, and DSM 4166 were chosen.
Table 3

Genome statistics

AttributeValue% of Total
Genome size (bp)6,951,444100.00
DNA coding (bp)6,028,11386.72
DNA G + C (bp)4,665,30067.11
DNA scaffolds1100.00
Total genes6169100.00
Protein coding genes607198.41
RNA genes961.56
Pseudo genes20.03
Genes in internal clustersNANA
Genes with function prediction476277.19
Genes assigned to COGs552389.53
Genes with Pfam domains524284.97
Genes with signal peptides70211.38
Genes with transmembrane helices126320.47
CRISPR repeats1
Table 4

Number of genes associated with general COG functional categories

CodeValue% ageDescription
J1893.11Translation, ribosomal structure and biogenesis
A10.02RNA processing and modification
K4807.91Transcription
L1802.96Replication, recombination and repair
B50.08Chromatin structure and dynamics
D400.66Cell cycle control, Cell division, chromosome partitioning
V751.24Defense mechanisms
T2864.71Signal transduction mechanisms
M2814.63Cell wall/membrane biogenesis
N1141.88Cell motility
U791.30Intracellular trafficking and secretion
O1823.00Posttranslational modification, protein turnover, chaperones
C4176.87Energy production and conversion
G1963.23Carbohydrate transport and metabolism
E4898.05Amino acid transport and metabolism
F1121.84Nucleotide transport and metabolism
H1602.64Coenzyme transport and metabolism
I2183.59Lipid transport and metabolism
P3495.74Inorganic ion transport and metabolism
Q1422.34Secondary metabolites biosynthesis, transport and catabolism
R00.00General function prediction only
S152825.17Function unknown
-5489.03Not in COGs

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

Fig. 3

Circular map of the Pseudomonas citronellolis P3B5 genome, generated using CGView [70]. Starting from the outmost circle moving inwards, the following tracks are shown: (1) predicted protein coding genes on forward strand colored according to COG categories, (2) CDS (black), tRNA (green) and rRNA (orange) on forward strand, (3) CDS (black), tRNA (green) and rRNA (orange) on reverse strand, (4) predicted protein coding genes on reverse strand colored according to COG categories, (5) Intact prophages (red), incomplete prophages (light red), and genomic islands (blue), (6) GC content (black), (7) positive and negative GC skew (green and purple, respectively) and (8) genome region by mbp

Genome statistics Number of genes associated with general COG functional categories The total is based on the total number of protein coding genes in the genome Circular map of the Pseudomonas citronellolis P3B5 genome, generated using CGView [70]. Starting from the outmost circle moving inwards, the following tracks are shown: (1) predicted protein coding genes on forward strand colored according to COG categories, (2) CDS (black), tRNA (green) and rRNA (orange) on forward strand, (3) CDS (black), tRNA (green) and rRNA (orange) on reverse strand, (4) predicted protein coding genes on reverse strand colored according to COG categories, (5) Intact prophages (red), incomplete prophages (light red), and genomic islands (blue), (6) GC content (black), (7) positive and negative GC skew (green and purple, respectively) and (8) genome region by mbp

Extended insights from the genome sequence

The P3B5 genome in the light of a phyllosphere associated lifestyle

Plant leaf surfaces, often referred to as phyllosphere, represent an extreme environment to its colonizers which are exposed to largely fluctuating levels of drought, DNA-damaging UV radiation, heat, and oligotrophic nutrient conditions [18]. At the micrometer scale the phyllosphere is very heterogeneous, i.e. habitable sites and nutrient availability is discontinuous, tremendously impacting its colonizers [44, 45].

Resilience to phyllosphere stress factors

P3B5 did not only survive, but grew at temperatures as high as 44 °C and was also able to grow at moderate temperatures of 16 °C. This ability might represent a fitness advantage on plant leaf surfaces that often feature fluctuating and high temperatures [18]. Adaptation to fluctuating and high temperatures is also reflected in the genome which encodes several heat shock proteins including DnaK (PcP3B5_54370, PcP3B5_56190), GroEL (PcP3B5_12480), and the cold shock proteins CspA_1-CspA_4 (PcP3B5_06040, PcP3B5_17140, PcP3B5_45760, PcP3B5_47880). To counter oxidative stress, P3B5 is equipped with genes encoding proteins known to be involved in oxidative stress reduction such as a manganese-based superoxide dismutase (PcP3B5_11610), a ferrous-based superoxide dismutase (PcP3B5_52370), four catalases (PcP3B5_07860, PcP3B5_23220, PcP3B5_27040, PcP3B5_31600), and several peroxidases (PcP3B5_10150, PcP3B5_32470, PcP3B5_44760). To counter drought stress, P3B5 is equipped with genes encoding for the production of trehalose (PcP3B5_27330) and uptake or production of betaine (PcP3B5_00410–00420, PcP3B5_01390, PcP3B5_01330–01360, PcP3B5_17690, PcP3B5_02060–02090, PcP3B5_25880, PcP3B5_26750–26770, PcP3B5_28710–28740, PcP3B5_28870, PcP3B5_29850, PcP3B5_31730–31770, PcP3B5_34470–34500, PcP3B5_34590, PcP3B5_36730, PcP3B5_43400, PcP3B5_45400, PcP3B5_48640, PcP3B5_50450, PcP3B5_58450–58430, PcP3B5_60970, PcP3B5_61100, PcP3B5_61120–61140, PcP3B5_61750, PcP3B5_62040), two osmoprotectants. Notably, no other representative pseudomonad currently found in the SEED database [46] features as many betaine related uptake systems, indicating the importance of this osmoprotectant for the lifestyle of P3B5. This suggests a phyllosphere adapted lifestyle which requires the ability to survive and thrive under constant drought stress. The phyllosphere has furthermore been described to be iron limited [47], therefore, the acquisition of and competition for iron is crucial on plant leaves. The P3B5 genome, as is common in pseudomonads, encodes for several genes involved in the acquisition of iron by the production and uptake of siderophores.

Potential resource utilization on plant surfaces

P3B5 is equipped for the acquisition and utilization of many nutrients that are available in the phyllosphere, especially different carbohydrates and amino acids [48, 49]. Genes encoding for ABC transporters for amino acids found on plant surfaces (arginine, cysteine, glycine, histidine, methionine, proline), dipeptides, oligopeptides, branched amino acids, putrescine, spermidine, lipopolysaccharides, glucose, and nitrate. Furthermore, genes encoding for a phosphotransferase uptake system for fructose are present, as well as major facilitator superfamily protein sugar transporter and other sugar transporters. To predict the ability of P3B5 to metabolize various compounds, RAST [50] and modelSEED were employed (http://modelseed.org) [46, 51, 52]. Genetic evidence for the metabolic utilization of glucose, fructose, and sucrose, the three most prevalent photosynthates found on leaves, was found [48, 53]. Furthermore, genes predicted to be involved in the degradation of short organic acids which can be found on plant leaves were detected, e.g. citrate, fumarate, glycolate, malate, maleate, pyruvate, succinate, and tartrate [48]. Recently, the soil-borne SJTD-1, a strain phylogenetically related to , was shown to be able to degrade medium and long chain alkanes from n-tetradecane (C14) to n-tetracosane (C24) due to the protein alkane monooxygenase [54]. The presence of two AlkB-like alkane monooxygenase genes in the P3B5 genome (PcP3B5_23990, PcP3B5_31900) might enable it to nutritionally access long and very-long chain alkanes available on plant leaves, thereby gaining a fitness advantage over other phyllosphere colonizers. Furthermore, P3B5 contains two putative AlmA-like monooxygenases (PcP3B5_03500, PcP3B5_37240), which would allow the degradation of very long chain alkanes (>C30) [55]. P3B5 was isolated from herbs that are rich in aromatic oils, such as terpenes [12]. Previously it has been shown that is able to degrade terpenes such as citronellol [11] and a corresponding gene cluster (PcP3B5_19950–20010) was also detected in P3B5, which may be responsible for enabling this species to colonize the phyllosphere of aromatic herbs.

Biotic relationship to the plant host

P3B5 and other isolates were isolated from healthy plant material and plants from the same field plot did not exhibit disease symptoms during the course of the survey. Therefore, it is unlikely that is a plant pathogen. It is unclear if the strain is able to confer a health promoting effect on its plant host, thus it is prudent to classify it as tritagonist, an organism whose biotic relationship to its host is thus far undescribed [56]. However, the P3B5 genome contains genes whose products are involved in the biosynthesis of indole-3-acetic acid (PcP3B5_05210–05220, PcP3B5_17810, PcP3B5_07120–07140), a compound often found to be produced by bacteria associated with plants [18]. Indole-3-acetic acid is a plant hormone of the auxin class which induces plant cell elongation and division, which leads to an increase of local available nutrients [57]. This indicates that P3B5 is able to impact on the plant host.

Antibiotic resistance and possible horizontal gene transfer of resistance genes

The genomic data broadly supports the phenomenological antibiotic screens described above, the respective putative ABR genes and loci are summarized in Table 5. Many of the tested compounds were β-lactam antibiotics of different generations. The P3B5 genome contains genes encoding for six predicted β-lactamases, providing resistances against many β-lactam antibiotics, including a class C β-lactamase conferring resistance to cephalosporin antibiotics and putatively to the monobactam aztreonam. Furthermore, the genome contains genes encoding for efflux pumps that provide resistances to other antibiotics, such as trimethoprim.
Table 5

Identified antibiotic resistances and their putative genetic background

AntibioticClassEncoded resistance genes; locus
amoxicillin/clavulanic acidβ-lactam + β-lactamase inhibitormetallo-β-lactamase, PcP3B5_32180class A β-lactamase, PcP3B5_44400metallo-β-lactamase, PcP3B5_46940metallo-β-lactamase, PcP3B5_47300class C β-lactamase, PcP3B5_53150
cefotaximeβ-lactam/third generation cephalosporin
cefoxitinβ-lactam/second generation cephalosporin
cefpodoximeβ-lactam/third generation cephalosporin
cefuroximeβ-lactam/second generation cephalosporin
cephalothinβ-lactam/second generation cephalosporin
temocillinβ-lactam/β-lactamase-resistant penicillin
aztreonammonobactam antibioticclass C β-lactamase, PcP3B5_53150
lincosamideintrinsic resistance
vancomycinintrinsic resistance
minocyclinetetracycline antibiotictetA, PcP3B5_30660
rifamycin SVrifamycinintrinsic resistance, no resistance genes detected
trimethoprimsulfonamide antibioticmultidrug efflux pump OprM1-5; PcP3B5_05670, PcP3B5_32430, PcP3B5_35160, PcP3B5_36300, PcP3B5_37480
trimethoprim/sulfamethoxazoledihydrofolate reductase inhibitor/sulfonamide antibiotic
nitrofurantoinnitrofuran derivativeintrinsic resistance and vanX; PcP3B5_55530
fosfomycin N-acetylmuramic acid synthesis inhibitionfosA; PcP3B5_27860
Identified antibiotic resistances and their putative genetic background To further analyze the potential of described ABR genes to be mobilized by horizontal gene transfer, it was investigated if they are located on mobile genetic elements, i.e. prophages, transposons, and genomic islands. None of the six putative prophage related genomic loci or the predicted genomic islands contained genes encoding for ABR. Furthermore, after close inspection of flanking regions 30 kbp up- and downstream of resistance genes, no evidence for functional transposable elements could be detected.

Bioremediation potential

The capability of P3B5 to degrade long-chain alkanes and terpenes in combination with a predicted resilience to many environmental stresses make it an ideal candidate for future bioremediation applications. Also, a recent study highlighted the ability of a isolate to be able to degrade low density polyethylene [58] and, moreover, P3B5 is closely related to P. knackmussi, which is known for its potential in biodegradation of chloroaromatic compounds [59]. This further hints towards a, yet to be further investigated, broad biodegradation potential of . Its preferred niche on plant surfaces can potentially be further exploited for so-called “phyllo-remediation” approaches during which bacteria are employed to degrade organic-pollutants on plant foliage [60, 61].

Conclusions

We provide a comprehensive insight into the genome and biochemical properties of the environmentally and biotechnologically interesting species . Furthermore, we provide an interpretation of its environmental life-style on plant leaves from a genomic perspective. The P3B5 genome encodes genes that should enable it to degrade long- and very long-chain alkanes, and terpenes. This metabolic capability, in combination with its stress-resilience and phyllosphere lifestyle, makes the organism an intriguing candidate for phyllo-remediation based bioremediation approaches. Resistance to several ABs was observed and several ABR genes were detected, but no evidence for the potential of ABR gene mobilization could be found. The availability of the complete genome sequence of will facilitate future comparative genomics approaches of the phylogenetically broad genus , which is currently understudied and biased towards pathogenic species. To fully appreciate the genetic diversity of the genus even more species should be complete genome sequenced in the future. This will also enable hypothesis-driven research on the difference between pathogenic and non-pathogenic species.
  58 in total

1.  Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes.

Authors:  A Krogh; B Larsson; G von Heijne; E L Sonnhammer
Journal:  J Mol Biol       Date:  2001-01-19       Impact factor: 5.469

2.  The Families and Genera of the Bacteria: Preliminary Report of the Committee of the Society of American Bacteriologists on Characterization and Classification of Bacterial Types.

Authors:  C E Winslow; J Broadhurst; R E Buchanan; C Krumwiede; L A Rogers; G H Smith
Journal:  J Bacteriol       Date:  1917-09       Impact factor: 3.490

3.  Effect of bacterial distribution and activity on conjugal gene transfer on the phylloplane of the bush bean (Phaseolus vulgaris).

Authors:  B Normander; B B Christensen; S Molin; N Kroer
Journal:  Appl Environ Microbiol       Date:  1998-05       Impact factor: 4.792

4.  Identification and characterization of the acyclic terpene utilization gene cluster of Pseudomonas citronellolis.

Authors:  Karin Förster-Fromme; Dieter Jendrossek
Journal:  FEMS Microbiol Lett       Date:  2006-11       Impact factor: 2.742

5.  Enzymatic analysis of the pathways of glucose catabolism and gluconeogenesis in Pseudomonas citronellolis.

Authors:  R W O'Brien
Journal:  Arch Microbiol       Date:  1975-03-12       Impact factor: 2.552

6.  Pseudomonas protegens sp. nov., widespread plant-protecting bacteria producing the biocontrol compounds 2,4-diacetylphloroglucinol and pyoluteorin.

Authors:  Alban Ramette; Michele Frapolli; Marion Fischer-Le Saux; C Gruffaz; Jean-Marie Meyer; Geneviève Défago; Laurent Sutra; Yvan Moënne-Loccoz
Journal:  Syst Appl Microbiol       Date:  2011-03-09       Impact factor: 4.022

7.  Matrix-assisted laser desorption ionization-time of flight mass spectrometry for identification of nonfermenting gram-negative bacilli isolated from cystic fibrosis patients.

Authors:  Nicolas Degand; Etienne Carbonnelle; Brunhilde Dauphin; Jean-Luc Beretti; Muriel Le Bourgeois; Isabelle Sermet-Gaudelus; Christine Segonds; Patrick Berche; Xavier Nassif; Agnès Ferroni
Journal:  J Clin Microbiol       Date:  2008-08-06       Impact factor: 5.948

8.  Population dynamics and gene transfer in genetically modified bacteria in a model microcosm.

Authors:  A K Lilley; M J Bailey; M Barr; K Kilshaw; T M Timms-Wilson; M J Day; S J Norris; T H Jones; H C J Godfray
Journal:  Mol Ecol       Date:  2003-11       Impact factor: 6.185

9.  PHAST: a fast phage search tool.

Authors:  You Zhou; Yongjie Liang; Karlene H Lynch; Jonathan J Dennis; David S Wishart
Journal:  Nucleic Acids Res       Date:  2011-06-14       Impact factor: 16.971

10.  Isolation of Arthrobacter species from the phyllosphere and demonstration of their epiphytic fitness.

Authors:  Tanja R Scheublin; Johan H J Leveau
Journal:  Microbiologyopen       Date:  2013-01-28       Impact factor: 3.139

View more
  8 in total

1.  Delivering "Chromatic Bacteria" Fluorescent Protein Tags to Proteobacteria Using Conjugation.

Authors:  Rudolf O Schlechter; Mitja Np Remus-Emsermann
Journal:  Bio Protoc       Date:  2019-04-05

2.  Comparative Genomics of Completely Sequenced Lactobacillus helveticus Genomes Provides Insights into Strain-Specific Genes and Resolves Metagenomics Data Down to the Strain Level.

Authors:  Michael Schmid; Jonathan Muri; Damianos Melidis; Adithi R Varadarajan; Vincent Somerville; Adrian Wicki; Aline Moser; Marc Bourqui; Claudia Wenzel; Elisabeth Eugster-Meier; Juerg E Frey; Stefan Irmler; Christian H Ahrens
Journal:  Front Microbiol       Date:  2018-01-30       Impact factor: 5.640

3.  Biofilm Formation Potential of Heat-Resistant Escherichia coli Dairy Isolates and the Complete Genome of Multidrug-Resistant, Heat-Resistant Strain FAM21845.

Authors:  Roger Marti; Michael Schmid; Sandra Kulli; Kerstin Schneeberger; Javorka Naskova; Susanne Knøchel; Christian H Ahrens; Jörg Hummerjohann
Journal:  Appl Environ Microbiol       Date:  2017-07-17       Impact factor: 4.792

4.  Draft Genome Sequence of Pseudomonas citronellolis LA18T, a Bacterium That Uses Levulinic Acid.

Authors:  Tomohiro Inaba; Yuya Sato; Hideaki Koike; Tomoyuki Hori; Manabu Kanno; Nobutada Kimura; Kohtaro Kirimura; Hiroshi Habe
Journal:  Microbiol Resour Announc       Date:  2018-08-09

5.  Pushing the limits of de novo genome assembly for complex prokaryotic genomes harboring very long, near identical repeats.

Authors:  Michael Schmid; Daniel Frei; Andrea Patrignani; Ralph Schlapbach; Jürg E Frey; Mitja N P Remus-Emsermann; Christian H Ahrens
Journal:  Nucleic Acids Res       Date:  2018-09-28       Impact factor: 16.971

Review 6.  Antibiotic Resistant Pseudomonas Spp. Spoilers in Fresh Dairy Products: An Underestimated Risk and the Control Strategies.

Authors:  Laura Quintieri; Francesca Fanelli; Leonardo Caputo
Journal:  Foods       Date:  2019-09-01

7.  The AraC-Type Transcriptional Regulator GliR (PA3027) Activates Genes of Glycerolipid Metabolism in Pseudomonas aeruginosa.

Authors:  Karolina Kotecka; Adam Kawalek; Kamil Kobylecki; Aneta Agnieszka Bartosik
Journal:  Int J Mol Sci       Date:  2021-05-11       Impact factor: 5.923

8.  Pseudomonas orientalis F9: A Potent Antagonist against Phytopathogens with Phytotoxic Effect in the Apple Flower.

Authors:  Veronika Zengerer; Michael Schmid; Marco Bieri; Denise C Müller; Mitja N P Remus-Emsermann; Christian H Ahrens; Cosima Pelludat
Journal:  Front Microbiol       Date:  2018-02-09       Impact factor: 5.640

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.