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Complete genome sequence of Pseudomonas corrugata strain RM1-1-4, a stress protecting agent from the rhizosphere of an oilseed rape bait plant


Pseudomonas corrugata strain RM1-1-4 is a rhizosphere colonizer of oilseed rape. A previous study has shown that this motile, Gram-negative, non-sporulating bacterium is an effective stress protecting and biocontrol agent, which protects their hosts against abiotic and biotic stresses. Here, we announce and describe the complete genome sequence of P. corrugata RM1-1-4 consisting of a single 6.1 Mb circular chromosome that encodes 5189 protein coding genes and 85 RNA-only encoding genes. Genome analysis revealed genes predicting functions such as detoxifying mechanisms, stress inhibitors, exoproteases, lipoproteins or volatile components as well as rhizobactin siderophores and spermidine. Further analysis of its genome will help to identify traits promising for stress protection, biocontrol and plant growth promotion properties.


Pseudomonas corrugata Roberts and Scarlett (1981) emend. Sutra belongs to the genus Pseudomonas sensu stricto and it is one of the few non fluorescent Pseudomonas species. P. corrugata strain RM1-1-4 was isolated from the oilseed rape rhizosphere grown in the greenhouse, whose seeds were treated with the microbial community associated with the moss Sphagnum magellanicum [1]. Sphagnum mosses form bog ecosystems under low-nutrient and extreme conditions supported by their microbiota [2]. RM1-1-4 was selected as stress protecting agent coping high salt concentrations, reactive oxygen species and desiccation [1]. As it has a broad antagonistic spectrum exhibiting antifungal activity against phytopathogenic fungi (Ascomycota: Alternaria alternata , Botrytis cinerea , Sclerotinia sclerotiorum , Verticillium dahliae and Basidiomycota: Rhizoctonia solani AG2-2IIIB, Sclerotium rolfsii), it is a promising candidate for biocontrol purposes. The activity putatively base on the production of exoenzymes and the emission of antimicrobial volatile organic compounds.

In this report, we summarize the complete genome sequence and annotation of RM1-1-4. We also describe its genomic properties revealing multifaceted plant beneficial features. The genome sequence of RM1-1-4 and its comparison with related published genomes will provide a framework for further functional studies of its abiotic and biotic stress protecting effectiveness in plant and rhizosphere competence.

Organism information

Classification and features

P. corrugata RM1-1-4 is a motile, Gram-negative, non-sporulating rod in the order Pseudomonadales of the class Gammaproteobacteria . The rod-shaped cells are approximately 0.5 μm in width and 1.5–2.0 μm in length (Fig. 1 left). The strain is moderately fast-growing, forming 1 mm colonies within 1–2 days at 25 °C. Colonies formed on nutrient broth II (NBII) agar plates [1] are yellow opaque shining, domed and moderately mucoid with smooth margins (Fig. 1 right). No fluorescence of the cells was visualized under UV light (312 nm) when grown on King’s B agar. RM1-1-4 was isolated from the roots of healthy oilseed rape plants cv. Traviata KWS (KWS SAAT SE, Einbeck, Germany), whose seeds were treated with a microbial suspension of Sphagnum magellanicum [1].

Fig. 1
figure 1

Photomicrographs of source organism. Image of P. corrugata RM1-1-4 cells using confocal laser scanning microscopy (CLSM, left) and the appearance of colony morphology after 48 h growing on NB agar medium at 25 °C (right). Image was obtained using acridin orange (0.4 mg mL−1 water) stained RM1-1-4 cells with 40× magnification. Cells under Leica TCS SP CLSM (Leica Microsystems, Wetzlar, Germany) captured and analysed using Leica Application Suite Advanced Fluorescence (LAS AF) software Version 3.5

Even though the optimal growth temperature is 30 °C, RM1-1-4 can also slowly replicate at 5 °C in liquid Luria Bertani (LB). Growth was observed at 37 °C and slightly at 40 °C in this culturing medium and on solidified medium after 24 h. The strain grows in complex media (LB, NBII), but not in Standard Succinate Medium (pH 7.0). Optimum pH for growth in LB is pH 6.0. It does not cause any deleterious effect on its original host (oilseed rape) or maize, sorghum and sugar beet [1]. Strain RM1-1-4 has natural resistance to gentamycin (10 μg mL−1), trimethoprim (50 μg mL−1) and is able to develop spontaneous rifampicin-resistance.

Minimum Information about the Genome Sequence (MIGS) of P. corrugata RM1-1-4 is summarized in Table 1. The phylogenetic relationship of P. corrugata RM1-1-4 to other species within the genus Pseudomonas is visualized in a 16S rRNA based tree [3] and a tree based on the oligopeptide content of the complete protein sequence by using a Composition Vector Tree (CVTree) approach [4, 5] (Fig. 2a, b).

Table 1 Classification and general features of P. corrugata RM1-1-4 according to the MIGS recommendation [24]
Fig. 2
figure 2

Phylogenetic tree showing the position of P. corrugata RM1-1-14 in relationships among other strains of Pseudomonas spp. including P. aeruginosa PAO1 as outgroup. a The tree is based on 16S rRNA gene alignments and was conducted in MEGA6 [3]. Initial tree for the heuristic search were obtained automatically by applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances estimated using the Maximum Composite Likelihood approach, and then selecting the topology with superior log likelihood value. b The dendrogram based on protein sequences for representative strains belonging to the existing five subgroups (I-V) of the P. fluorescens complex including P. aeruginosa PAO1 as outgroup (O) and was created by using Composition Vector Approach [5]

Genome sequencing information

Genome project history

The genome of P. corrugata strain RM1-1-4 was selected for sequencing based on its ability to exert stress protecting abilities against abiotic and biotic stresses and to promote plant growth. The strain was isolated from the rhizosphere of an oilseed rape plant that was subjected to a bait plant strategy: oilseed rape seeds were treated with the microbial community of Sphagnum magellanicum [1], where RM1-1-4 was originally identified as P. fluorescens . After Average Nucleotide Identity (ANI) [6] comparison of the genome sequence against the genomes of the type strains and proxytype strains that are already in GenBank, RM1-1-4 showed 99.585% identity to the type genome of P. corrugata with 97% coverage of the genome. To clarify the taxonomic affiliation we performed a systematic method of inferring evolutionary relatedness of microbial organisms from the 16S rRNA gene region (Fig. 2a) and the oligopeptide content of their complete protein sequences by using CVTree showing its phylogenetic positioning (Fig. 2b) [3,4,5]. The genome project is deposited in the NCBI BioProject PRJNA309490 database with the Biosample SAMN04453325. This whole genome shotgun project has been deposited in the NCBI database under the accession no. CP014262 (Table 2).

Table 2 Project information

Growth conditions and genomic DNA preparation

P. corrugata strain RM1-1-4 was grown in 50 mL of NBII (Sifin, Berlin, Germany) medium and incubated for 20 h at 30 °C. 0.5 mL were centrifuged at 2500 x g for 5 min at 4 °C and genomic DNA was extracted using the MasterPure DNA purification kit (Epicentre, Madison, WI, USA). DNA quality and quantity were checked by agarose gel electrophoresis and spectrophotometry using a UV-Vis spectrophotometer (NanoDrop 2000c, Thermo Fisher Scientific, Waltham, MA USA). In total, 91 μg genomic DNA (3.1 μg μL−1) was sent on dry ice to the sequencing service. PacBio RS libraries with inserts of 8 to 20 kb were constructed and sequenced at GATC Biotech (Konstanz, Germany).

Genome sequencing and assembly

PacBio RS libraries with inserts of 8 to 20 kb were constructed and sequenced at GATC Biotech (Konstanz, Germany) using single molecule, real-time (SMRT) sequencing. Assembly was completed with the Hierarchical Genome Assembly Process (HGAP) algorithm implemented in the PacBio SMRT Analysis software (Pacific Biosciences, Menlo Park, CA, USA). The assembly of RM1-1-4 genome based on 161,326 quality reads with a mean length of 5315 bp resulting in a single circular chromosome of 6,124,363 bp, with 118.0-fold overall coverage and a GC content of 60.7%.

Genome annotation

Automatic annotation was conducted on the RAST Web server (version 36) using RAST gene calling based on FIGfam version Release70 [7, 8], and additional annotation for using the automated assignment of COG-functions to protein-coding genes was completed on the BASys web server using Glimmer gene prediction [9, 10]. Pseudogenes were predicted using the NCBI Prokaryotic Genome Annotation Pipeline. Signal peptides and transmembrane helices were predicted using SignalP [11, 12].

Genome properties

The genome of RM1-1-4 is composed of one circular chromosome consisting of 6,124,363 bp with an average GC content of 60.7% (Table 3 and Fig. 3), which is comparable to that of other P. corrugata strains. Among the 5335 predicted genes, 5189 were identified as protein coding genes of which 4110 (79.2%) were assigned as putative function, while the other 1079 (20.8%) were designated as hypothetical proteins. The classification of CDSs into functional categories according to the COG (Clusters of Orthologous Groups) [13, 14] database is summarized in Table 4 on BASys gene prediction. Beside the predicted genes, the genome annotation revealed 65 tRNA, five rRNA loci (5S, 16S, 23S) with one additional 5S rRNA, four ncRNAs and 284 predicted SEED subsystem features.

Table 3 Genome statistics
Fig. 3
figure 3

Graphical map of the chromosome. The outer scale is marked every 10 kb. Circles range from 1 (outer circle) to 7 (inner circle). Circle 1 and 2, ORFs encoded by leading and lagging strand respectively, with color code for functions: salmon, translation, ribosomal structure and biogenesis; aquamarine, RNA processing and modification; light blue, transcription; cyan, DNA replication, recombination and repair; tan, chromatin structure and dynamics; turquoise, cell division; dark orange, defense mechanisms; deep pink, post-translational modification, protein turnover and chaperones; dark olive green, cell envelope biogenesis; purple, cell motility and secretion; lavender, intracellular trafficking, secretion, and vesicular transport; forest green, inorganic ion transport and metabolism; pink, signal transduction; red, energy production; sienna, carbohydrate transport and metabolism; yellow, amino acid transport; orange, nucleotide transport and metabolism; gold, co-enzyme transport and metabolism; cornflower blue, lipid metabolism; blue, secondary metabolites, transport and catabolism; gray, general function prediction only; yellow green, unknown function; black, function unclassified or unknown. Circle 3 and 4, distributions of tRNA genes and rrn operons respectively. Circle 5, distribution of pseudogenes. Circle 6 and 7, G + C content and GC skew (G-C/G + C) respectively

Table 4 Number of genes associated with general COG functional categories

Insights from the genome sequence

The genome encodes genes that can be linked to detoxification mechanisms of oxygen radicals, toxins and heavy metals by efflux pumps as well as to stress response by heat and cold shock proteins and the universal stress protein A (UspA). UspA with orthologues (Locus Tags AXG94_02180, AXG94_04130, AXG94_24005, AXG94_24695) could play a significant role in protecting RM1-1-4 cells from H2O2 and low pH as found in organisms inhabiting extreme environments [15] and analysed in detail for the clinical strain Acinetobacter baumannii ATCC 17978 [16]. A water stress/hypersensitive response protein (AXG94_21760) is present, which is supposed to be transferred to symbiotic or pathogenic bacteria by horizontal gene transfer from plants and can be seen as the acquisition of a function putatively related to the cell defense [17]. The genome of RM1-1-4 contains several genes, which are important contributors to biological control. They are related to the biosynthesis of secondary metabolites or antimicrobial products that are similar to those found in the genomes of other Pseudomonads: productions of exoproteases and lipoproteins [18]. We further identified genes most probably involved in the direct promotion of plant growth, such as biosynthesis or carrier gene clusters for aminocyclopropane-1-carboxylate deaminase suggested to be a key in the modulation of ethylene levels in plants by bacteria [19], auxin, biofilm dispersion, rhizobactin siderophores and spermidine.

Genes predicting the synthesis of volatile components are present in the RM1-1-4 genome as well. Volatile components have been shown to act as antibiotics and to induce plant growth [20, 21]. An example is hydrogen cyanide (HCN), an inorganic compound with antagonistic effects against soil microbes [22]. RM1-1-4 encodes a hydrogen cyanide synthase HcnA (AXG94_04380) and orthologues of genes required for the biosynthesis of other volatile components such as 2,3-butanediol (AXG94_01200) and its precursor acetoin (AXG94_01195) were annotated too. Beside the presence of specific genes and the noticeable ability of RM1-1-4 to expose stress protection, the function of particular genes needs to be clarified in further detailed studies.

The genome-wide phylogenetic analysis on Pseudomonas species [3,4,5] with the RM1-1-4 genome showed that strain RM1-1-4 clusters within the P. fluorescens group (Fig. 2a, b) and most closely to P. corrugata CFBP 5454 (DDBJ/EMBL/GenBank accession ATKI01000000). The two P. corrugata strains belong to the few non fluorescent Pseudomonas species. CFBP 5454 was originally described as the causal agent of the tomato disease called ‘pith necrosis’ and is yet considered as a biological resource in the fields of biocontrol of plant diseases and production of industrially promising microbial biopolymers like antimicrobial cyclic lipopeptides [23].


This report described the complete genome sequence of P. corrugata strain RM1-1-4. It is a “ Pseudomonadales ” within the non-fluorescent P. corrugata clade that was originally isolated from the roots of moss microbiome-primed oilseed rape seeds cv. Traviata KWS grown in a greenhouse in Graz, Austria. This strain was selected for sequencing based on its ability to protect plants from abiotic and biotic stresses and to promote plant growth. We could highlight genes encoding abiotic and biotic stress protecting factors and other well-known bacterial traits for establishment of beneficial plant-microbe interactions. The genome encodes for a collection of genes predicting biofilm dispersion, detoxifying compounds, volatile components and enzymes such as a protease and a deaminase. Such properties likely have origins in a repertoire of genes including efflux pumps, putative T2SS, T4SS and T6SS, and several genes presumably implicated in auxin, rhizobactin siderophore and spermidine production. Further functional studies and comparative genomics with related isolates will provide insights into naturally acquired plant stress protection and promotion of plant health.



Coding DNA Sequence


Confocal Laser Scanning Microscopy


Clusters of Orthologous Groups


Composition Vector Tree


Hydrogen Cyanide


Hierarchical Genome Assembly Process


Luria Bertani


Nutrient Broth II


Rapid Annotations using Subsystems Technology


Single Molecule, Real-Time


Type 2 Secretion System


  1. Zachow C, Müller H, Tilcher R, Donat C, Berg G. Catch the best: novel screening strategy to select stress protecting agents for crop plants. Agronomy. 2013;3(4):794–815.

    Article  Google Scholar 

  2. Bragina A, Oberauner-Wappis L, Zachow C, Halwachs B, Thallinger GG, Müller H, et al. The Sphagnum microbiome supports bog ecosystem functioning under extreme conditions. Mol Ecol. 2014;23(18):4498–510.

    Article  CAS  PubMed  Google Scholar 

  3. Tamura K, Stecher G, Peterson D, Filipski A, Kumar S. MEGA6: Molecular Evolutionary Genetics Analysis version 6.0. Mol Biol Evol. 2013;30:2725–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Redondo-Nieto M, Barret M, Morrisey JP, Germaine K, Martinez-Granero F, Barahona E, et al. Genome sequence of the biocontrol strain Pseudomonas fluorescens F113. J Bacteriol. 2012;194:1273–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Zuo G, Hao H. CVTree3 web server for whole-genome-based and alignment-free prokaryotic phylogeny and taxonomy, genomics proteomics. Bioinformatics. 2015;13:321–31.

    Google Scholar 

  6. Federhen S, Rossello-Mora R, Klenk HP, Tindall BJ, Konstantinidis KT, Whitman WB, et al. Meeting report: GenBank microbial genomic taxonomy workshop (12–13 may, 2015). Standards in Genomic Sci. 2016;11(1):1.

    Article  Google Scholar 

  7. Aziz RK, Bartels D, Best AA, DeJongh M, Disz T, Edwards RA, et al. The RAST server: rapid annotations using subsystems technology. BMC Genomics. 2008;9:75.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Overbeek R, Olson R, Pusch GD, Olsen GJ, Davis JJ, Disz T, et al. The SEED and the rapid annotation of microbial genomes using subsystems technology (RAST). Nucleic Acids Res. 2014;42:D206–D14.

    Article  CAS  PubMed  Google Scholar 

  9. Van Domselaar GH, Stothard P, Shrivastava S, Cruz JA, Guo A, Dong X, et al. BASys: a web server for automated bacterial genome annotation. Nucleic Acids Res. 2005;33:W455–W59.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Delcher AL, Harmon D, Kasif S, White O, Salzberg SL. Improved microbial gene identification with glimmer. Nucleic Acids Res. 1999;27:4636–41.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Emanuelsson O, Brunak S, von Heijne G, Nielsen H. Locating proteins in the cell using TargetP, SignalP and related tools. Nat Protoc. 2007;2:953–71.

    Article  CAS  PubMed  Google Scholar 

  12. Krogh A, Larsson B, von Heijne G, Sonnhammer EL. Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes. J Mol Biol 2001;305:567–580.

  13. Tatusov RL, Koonin EV, Lipman DJA. Genomic perspective on protein families. Science. 1997;278:631–7.

    Article  CAS  PubMed  Google Scholar 

  14. Clusters of Orthologous Groups. NCBI. 2015. Accessed February 2016.

  15. Tkaczuk KLA, Shumilin I, Chruszcz M, Evdokimova E, Savchenko A, Minor W. Structural and functional insight into the universal stress protein family. Evol Appl. 2013;6(3):434–49.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Elhosseiny NM, Amin MA, Yassin AS, Attia A. Acinetobacter baumannii universal stress protein a plays a pivotal role in stress response and is essential for pneumonia and sepsis pathogenesis. Int J Med Microbiol. 2015;305(1):114–23.

    Article  CAS  PubMed  Google Scholar 

  17. Ciccarelli FD, Bork P. The WHy domain mediates the response to desiccation in plants and bacteria. Bioinformatics. 2005;21(8):1304–7.

    Article  CAS  PubMed  Google Scholar 

  18. Loper JE, Hassan KA, Mavrodi DV, Davis EW, Lim CK, Shaffer BT, et al. Comparative genomics of plant-associated Pseudomonas spp.: insights into diversity and inheritance of traits involved in multitrophic interactions. PLoS Genet. 2012;8(7):e1002784.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Hardoim PR, van Overbeek LS, van Elsas JD. Properties of bacterial endophytes and their proposed role in plant growth. Trends Microbiol. 2008;16:463–71.

    Article  CAS  PubMed  Google Scholar 

  20. Ren Y, Strobel G, Sears J, Park M. Geobacillus sp., a thermophilic soil bacterium producing volatile antibiotics. Microb Ecol. 2010;60:130–6.

    Article  CAS  PubMed  Google Scholar 

  21. Ryu CM, Farag MA, CH H, Reddy MS, Wei HX, Paré PW, Kloepper JW. Bacterial volatiles promote growth in Arabidopsis. Proc Natl Acad Sci U S A. 2003;100:4927–32.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Ahmad F, Ahmad I, Khan MS. Screening of free-living rhizospheric bacteria for their multiple plant growth promoting activities. Microbiol Res. 2008;163:173–81.

    Article  CAS  PubMed  Google Scholar 

  23. Licciardello G, Ferraro R, Russo M, Strozzi F, Catara AF, Bella P, et al. Transcriptome analysis of Pseudomonas mediterranea and P. corrugata plant pathogens during accumulation of medium-chain-length PHAs by glycerol bioconversion. New Biotechnol. 2016. doi:10.1016/j.nbt.2016.07.006.

  24. Field D, Garrity G, Gray T, Morrison N, Selengut J, Sterk P, et al. The minimum information about a genome sequence (MIGS) specification. Nat Biotechnol. 2008;26:541–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Woese CR. Towards a natural system of organisms: proposal for the domains archaea, Bacteria and Eucarya. Proc Natl Acad Sci U S A. 1990;87:4576–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Garrity GM, Bell JA, Lilburn T: Phylum XIV. Proteobacteria phyl. Nov. In: Garrity G, Brenner D, Krieg N, Staley J, editors. Bergey’s manual of systematic bacteriology, volume 2, part B. 2nd ed. New York: Springer; 2005: p. 323.

  27. Garrity GM, Bell JA, Class LT. III. Gammaproteobacteria class. nov. In: Bergey's manual of systematics of archaea and bacteria, John Wiley & Sons, Inc. New York: Part B; 2015: p. 1. doi:10.1002/9781118960608.cbm00045.

  28. Skerman VBD, McGowan V, Sneath PHA. Approved lists of bacterial names. Int J Syst Bacteriol. 1980;30:225–420.

    Article  Google Scholar 

  29. Orla-Jensen S. The main lines of the natural bacterial system. J Bacteriol. 1921;6:263–73.

    CAS  PubMed  PubMed Central  Google Scholar 

  30. Winslow CEA, Broadhurst J, Buchanan RE, Krumwiede C, Rogers LA, Smith GH. 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. J Bacteriol. 1917;2:505–66.

    CAS  PubMed  PubMed Central  Google Scholar 

  31. Migula W. Über ein neues System der Bakterien. Arb Bakteriol Inst Karlsruhe. 1894;1:235–8.

    Google Scholar 

  32. Doudoroff M, Palleroni NJ. Genus Migula 1894, 237; nom. Cons. Opin. 5, Jud. Comm. 1952, 121. In: Buchanan RE, Gibbons NE, editors. Bergey's manual of determinative bacteriology. 8th ed. Baltimore: The Williams and Wilkins Co.; 1974. p. 217–43.

    Google Scholar 

  33. Commission J. Opinion 5: conservation of the generic name Migula 1894 and designation of aeruginosa (Schroeter) Migula 1900 as type species. Int bull Bacteriol Nomencl Taxon. 1952;2:121–2.

    Google Scholar 

  34. Palleroni NJ. Pseudomonadaceae. Bergey's manual of systematic bacteriology. In: Krieg NR, Holt JG, editors. . Baltimore: The Williams and Wilkins Co; 1984. p. 141–99.

    Google Scholar 

  35. Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, et al. Gene ontology: tool for the unification of biology. Nat Genet. 2000;25:25–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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The Authors thank Barbara Fetz for valuable assistance in DNA preparation. We are thankful to Eveline Adam and John H. Allan (University of Dundee) for performing growth experiments at different temperatures and pH values.


This work has been supported by the Federal Ministry of Science, Research and Economy (BMWFW), the Federal Ministry of Traffic, Innovation and Technology (bmvit), the Styrian Business Promotion Agency SFG, the Standortagentur Tirol, the Government of Lower Austria and ZIT – Technology Agency of the City of Vienna through the COMET-Funding Program managed by the Austrian Research Promotion Agency FFG.

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CZ, HM, RT and GB conceived and designed the experiments. CZ and CML performed the phenotypic characterization. HM and CZ performed the annotation and sequence homology searches. CZ wrote the manuscript. All authors commented on the manuscript before submission. All authors read and approved the final manuscript.

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Correspondence to Christin Zachow.

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Zachow, C., Müller, H., Laireiter, C.M. et al. Complete genome sequence of Pseudomonas corrugata strain RM1-1-4, a stress protecting agent from the rhizosphere of an oilseed rape bait plant. Stand in Genomic Sci 12, 66 (2017).

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