Literature DB >> 22675598

Complete genome sequence of the rapeseed plant-growth promoting Serratia plymuthica strain AS9.

Saraswoti Neupane, Nils Högberg, Sadhna Alström, Susan Lucas, James Han, Alla Lapidus, Jan-Fang Cheng, David Bruce, Lynne Goodwin, Sam Pitluck, Lin Peters, Galina Ovchinnikova, Megan Lu, Cliff Han, John C Detter, Roxanne Tapia, Anne Fiebig, Miriam Land, Loren Hauser, Nikos C Kyrpides, Natalia Ivanova, Ioanna Pagani, Hans-Peter Klenk, Tanja Woyke, Roger D Finlay.   

Abstract

Serratia plymuthica are plant-associated, plant beneficial species belonging to the family Enterobacteriaceae. The members of the genus Serratia are ubiquitous in nature and their life style varies from endophytic to free-living. S. plymuthica AS9 is of special interest for its ability to inhibit fungal pathogens of rapeseed and to promote plant growth. The genome of S. plymuthica AS9 comprises a 5,442,880 bp long circular chromosome that consists of 4,952 protein-coding genes, 87 tRNA genes and 7 rRNA operons. This genome is part of the project entitled "Genomics of four rapeseed plant growth promoting bacteria with antagonistic effect on plant pathogens" awarded through the 2010 DOE-JGI Community Sequencing Program (CSP2010).

Entities:  

Keywords:  CSP 2010; Enterobacteriaceae; Gram-negative; chemoorganotrophic; free living; mesophile; motile; non-sporulating; plant-associated

Year:  2012        PMID: 22675598      PMCID: PMC3368398          DOI: 10.4056/sigs.2595762

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


Introduction

The genus Serratia belongs to a group of Gammaproteobacteria, commonly found in soil, water, plants, insects and humans [1]. The genus includes antagonists of soil borne pathogens of different plant species, plant growth promoters and insect pathogens, as well as opportunistic human pathogens. The most common human pathogen in this genus is Serratia marcescens which causes nosocomial infections in humans, while other species are harmless. In agriculture, S. plymuthica is successfully used for control of many soil borne fungal pathogens of different crops (e.g. strawberry, rapeseed) [2,3], while S. proteamaculans promotes the growth of poplar trees [4]. S.plymuthica AS9 (= CCUG 61396) was isolated from field samples of rapeseed roots in Uppsala, Sweden. Our interest in S. plymuthica AS9 is attributed to its ability to stimulate rapeseed plant growth, to inhibit soil borne fungal pathogens and to increase oilseed production. Here we present a description of the complete genome sequencing of S. plymuthica AS9 and its annotation.

Classification and features

The bacterial strain AS9 was previously considered a member of the family Enterobacteriaceae [5]. Recently, comparison of 16S rRNA gene sequences with the most recent databases from GenBank using NCBI BLAST [6] under default settings showed that S. plymuthica AS9 shares 99% similarity with many Serratia species including S. plymuthica (AJ233433) and Serratia proteamaculans (CP000826.1). When considering high-scoring segment pairs (HSPs) from the best 250 hits, the most frequent matches were with various Serratia species (17.2% with maximum identity of 97-100%) with S. plymuthica (5.2% with maximum identity of 97-99%), S. proteamaculans (4.8% with maximum identity of 97-99%), S. marcescens (4.8% with maximum identity of 96-97%) and various Rahnella species. (7% with maximum identity of 97-98%). Figure 1 shows the phylogenetic relationship of S. plymuthica AS9 with other species within the genus Serratia in a 16S rRNA based tree. The tree shows its close relationship with the type strain of S. plymuthica, which was confirmed by digital DNA-DNA hybridization values [11] above 70% with the (unpublished) draft genome sequence of the S. plymuthica type strain Breed K-7T from a DSM4540 culture using the GGDC web server [12].
Figure 1

Phylogenetic tree highlighting the position of S. plymuthica AS9 in relation to other species within the genus Serratia, which is based on 1,479 characters of the 16S rRNA gene sequence aligned in ClustalW2 []. The tree was inferred under the maximum likelihood criterion [MEGA5, ] and rooted with Yersinia pseudotuberculosis (a member of the family Enterobacteriaceae). The branches are scaled in terms of the expected number of substitutions per site. The numbers above branches are support values from 1,000 bootstrap replicates if larger than 60% []. Lineages with type strain genome sequences registered in GOLD [] are shown in blue.

Phylogenetic tree highlighting the position of S. plymuthica AS9 in relation to other species within the genus Serratia, which is based on 1,479 characters of the 16S rRNA gene sequence aligned in ClustalW2 []. The tree was inferred under the maximum likelihood criterion [MEGA5, ] and rooted with Yersinia pseudotuberculosis (a member of the family Enterobacteriaceae). The branches are scaled in terms of the expected number of substitutions per site. The numbers above branches are support values from 1,000 bootstrap replicates if larger than 60% []. Lineages with type strain genome sequences registered in GOLD [] are shown in blue. S. plymuthica AS9 is a Gram-negative, rod shaped, motile bacterium, 1-2 µm long and 0.5-0.7 µm wide (Figure 2 and Table 1) . It forms red to pink colored colonies 1-2 mm in diameter on tryptic soy agar and potato dextrose agar. The color of the bacterium is the result of its production of the red pigment, prodigiosin, but the colony color or production of pigment depends on the ingredients, pH of the medium and the incubation temperature [26-28]. S. plymuthica is a facultative anaerobe, grows between 4 °C and 40 °C and within the pH range 4 - 10. It can utilize a wide range of carbon sources and also has chitinolytic, proteolytic, cellulolytic, and phospholytic activity [5].
Figure 2

Scanning electron micrograph of S. plymuthica AS9

Table 1

Classification and general features of S. plymuthica AS9 according to the MIGS recommendations [13]

MIGS ID     Property     Term      Evidence codea
     Current classificationDomain Bacteria      TAS [14]
Phylum Proteobacteria      TAS [15]
Class Gammaproteobacteria      TAS [15,16]
Order “Enterobacteriales      TAS [17]
Family Enterobacteriaceae      TAS [18-20]
Genus Serratia      TAS [18,21,22]
Species Serratia plymuthica      TAS [18,23]
     Strain AS9      IDA
     Gram stain     negative      IDA
     Cell shape     Rod-shaped      IDA
     Motility     Motile      IDA
     Sporulation     Non-sporulating      IDA
     Temperature range     Mesophilic      IDA
     Optimum temperature     28°C      IDA
     Carbon source     Glucose, mannitol, sucrose, arabinose, cellobiose      IDA
     Energy metabolism     Chemoorganotrophic      NAS
     Terminal electron receptor     --
MIGS-6     Habitat     Rapeseed roots      NAS
MIGS-6.3     Salinity     Medium      IDA
MIGS-22     Oxygen     Facultative      IDA
MIGS-15     Biotic relationship     Free living      NAS
MIGS-14     Pathogenicity     Non-pathogenic      IDA
     Biosafety level     1+      TAS [24]
MIGS-4     Geographic location     Uppsala, Sweden      NAS
MIGS-5     Sample collection time     Summer 1998      NAS
MIGS-4.1     Latitude     59.8      NAS
MIGS-4.2     Longitude     17.65      NAS
MIGS-4.3     Depth     0.1 m      NAS
MIGS-4.4     Altitude     24-25 m      NAS

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 [25]. If the evidence code is IDA, then the property was observed by one of the authors, or an expert mentioned in the acknowledgements.

Scanning electron micrograph of S. plymuthica AS9 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 [25]. If the evidence code is IDA, then the property was observed by one of the authors, or an expert mentioned in the acknowledgements.

Chemotaxonomy

The whole cell lipid pattern of S. plymuthica AS9 contains a mixture of saturated and unsaturated fatty acids. The main fatty acids in AS9 strain comprise C16:0 (24.13%), C16:1ω7c (19.41%), C18:1ω7c (18.76%), C14:0 (5.24%) along with other minor fatty acid components. Previously it has been shown that Serratia spp. contain a mixture of C14:0, C16:0, C16:1 and C18:1+2 fatty acids of which 50-80% of the total was C14:0 and other were less than 3% each [29]. This is consistent with the fact that the C14:0 3OH is characteristic of the family Enterobacteriaceae.

Genome sequencing information

S. plymuthica AS9, one of the strains isolated from rapeseed roots and rhizosphere soils was selected for sequencing on the basis of its ability to promote rapeseed growth and inhibit soil borne fungal pathogens. The genome project is deposited in the Genomes On Line Databases [10] and the complete genome sequence is deposited in GenBank. Sequencing, finishing and annotation were performed by the DOE Joint Genome Institute (JGI). A summary of the project information is shown in Table 2 and its association with MIGS identifiers.
Table 2

Genome sequencing project information

MIGS ID     Property     Term
MIGS-31     Finishing quality     Finished
MIGS-28     Libraries used     Three libraries: one 454 standard library, one 454 PE library (12.5 kb insert size), one Illumina library
MIGS-29     Sequencing platforms     Illumina GAii, 454 GS FLX Titanium
MIGS-31.2     Sequencing coverage     323.5 × Illumina; 8.8 × pyrosequencing
MIGS-30     Assemblers     Velvet v. 0.7.63, Newbler v. 2.3 pre-release, phrap version SPS – 4.24
MIGS-32     Gene calling method     Prodigal 1.4, GenePRIMP
     NCBI project ID     60457
     INSDC ID     CP002773
     Genbank Date of Release     October 12, 2011
     GOLD ID     Gc01772
MIGS-13     Source material identifier     CCUG 61396
     Project relevance     Biocontrol, Agricultural

Growth conditions and DNA isolation

S. plymuthica AS9 was grown in Luria Broth (LB) medium at 28°C for 12 hours (cells were in the early stationary phase) and the DNA was isolated using a standard CTAB protocol for bacterial genomic DNA isolation which is available at JGI [30].

Genome sequencing and assembly

The genome of strain AS9 was sequenced using a combination of Illumina [31] and 454 sequencing platforms [32]. The details of library construction and sequencing are available at the JGI website [30]. The sequence data from Illumina GAii (1,790.7 Mb) were assembled with Velvet [33] and the consensus sequence computationally shredded into 1.5 kb overlapping fake reads. The sequencing data from 454 pyrosequencing (102.2 Mb) were assembled with Newbler (Roche). The initial draft assembly contained 41 contigs in one scaffold and consensus sequences were computationally shredded into 2 kb overlapping fake reads. The 454 Newbler consensus reads, the Illumina velvet consensus reads and the read pairs in the 454 paired end library were integrated using a software phrap (High Performance Software, LLC) [34]. Possible mis-assemblies were corrected with gapResolution [30], Dupfinisher [35], or by sequencing cloned bridging PCR fragments with subcloning or transposon bombing (Epicentre Biotechnologies, Madison, WI). The gaps between contigs were closed by editing in the software Consed [36-38], by PCR and by Bubble PCR (J.-F. Chang, unpublished) primer walks. Thirty seven additional reactions were necessary to close gaps and to raise the quality of the finished sequence. The sequence reads from Illumina were used to correct potential base errors and increase consensus quality using the software Polisher, developed at JGI [39]. The final assembly is based on 47.3 Mb of 454 draft data which provides an average 8.8× coverage of the genome and 1,746.8 Mb of Illumina draft data which provides an average 323.5× coverage of the genome.

Genome annotation

Genes were identified using Prodigal [40] as part of the genome annotation pipeline at Oak Ridge National Laboratory (ORNL), Oak Ridge, TN, USA, followed by a round of manual curation using the JGI GenPRIMP pipeline [41]. The predicted CDSs were translated and used to search the National Center for Biotechnology Information (NCBI) non-redundant database, Uniport, TIGR-Fam, Pfam, PRIAM, KEGG, COG and InterPro databases. The tRNAScanSE tool [42] was used to find tRNA genes. Additional gene prediction analysis and functional annotation were performed within the Integrated Microbial Genomes – Expert Review (IMG-ER) platform [43].

Genome properties

The S. plymuthica AS9 genome includes a single circular chromosome of 5,442,880 bp with 55.96% GC content. The genome had 5,139 predicted genes of which 4,952 were assigned as protein-coding genes, 113 RNA genes and 75 pseudogenes [Figure 3]. The majority of protein coding genes (87.42%) was assigned as a putative function while those remaining were annotated as hypothetical proteins [Table 3]. The distribution into COG functional categories is presented in Table 4.
Figure 3

Graphical circular map of the chromosome. From outside to the center: Genes on forward strand (color by COG categories), Genes on reverse strand (color by COG categories), RNA genes (tRNAs green, rRNAs red, other RNAs black), GC content, GC skew.

Table 3

Genome statistics

Attribute    Value     % of totala
Genome size (bp)    5,442,880     100.00%
DNA coding region (bp)    4,739,233     87.07%
DNA G+C content (bp)    3,045,898     55.96%
Total genesa    5,139     100.00%
RNA genes    113     2.19%
rRNA operons    7
Protein-coding genes    4,952     96.36%
Pseudo genes    75     1.46%
Genes in paralog clusters    124     2.4%
Genes assigned to COGs    3,807     74.08%
Genes assigned in Pfam domains    4,185     81.43%
Genes with signal peptides    677     13.17%
Genes with transmembrane helices    1,227     23.87%
CRISPR repeats    1

a) The 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.

Table 4

Number of genes associated with the 25 general COG functional categories

Code     Value    %agea      Description
J     201    4.27      Translation, ribosomal structure and biogenesis
A     1    0.02      RNA processing and modification
K     481    10.22      Transcription
L     160    3.40      DNA replication, recombination and repair
B     1    0.02      Chromatin structure and dynamics
D     37    0.79      Cell division and chromosome partitioning
Y     0    0.00      Nuclear structure
V     64    1.36      Defense mechanisms
T     187    3.97      Signal transduction mechanisms
M     265    5.63      Cell envelope biogenesis, Outer membrane
N     94    2.00      Cell motility and secretion
Z     0    0.00      Cytoskeleton
W     0    0.00      Extracellular structure
U     116    2.47      Intracellular trafficking and secretion
O     153    3.25      Posttranslational modification, protein turnover, chaperones
C     272    5.78      Energy production and conversion
G     424    9.01      Carbohydrate transport and metabolism
E     470    9.99      Amino acid transport and metabolism
F     106    2.25      Nucleotide transport and metabolism
H     185    3.93      Coenzyme metabolism
I     135    2.87      Lipid metabolism
P     285    6.06      Inorganic ion transport and metabolism
Q     133    2.83      Secondary metabolites biosynthesis, transport and catabolism
R     537    11.41      General function prediction only
S     398    8.46      Function unknown
-     917    17.85      Not in COG

a) The total is based on the total number of protein coding genes in the annotated genome.

Graphical circular map of the chromosome. From outside to the center: Genes on forward strand (color by COG categories), Genes on reverse strand (color by COG categories), RNA genes (tRNAs green, rRNAs red, other RNAs black), GC content, GC skew. a) The 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. a) The total is based on the total number of protein coding genes in the annotated genome.
  23 in total

1.  GenePRIMP: a gene prediction improvement pipeline for prokaryotic genomes.

Authors:  Amrita Pati; Natalia N Ivanova; Natalia Mikhailova; Galina Ovchinnikova; Sean D Hooper; Athanasios Lykidis; Nikos C Kyrpides
Journal:  Nat Methods       Date:  2010-05-02       Impact factor: 28.547

2.  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

3.  MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.

Authors:  Koichiro Tamura; Daniel Peterson; Nicholas Peterson; Glen Stecher; Masatoshi Nei; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2011-05-04       Impact factor: 16.240

4.  Base-calling of automated sequencer traces using phred. II. Error probabilities.

Authors:  B Ewing; P Green
Journal:  Genome Res       Date:  1998-03       Impact factor: 9.043

5.  Consed: a graphical tool for sequence finishing.

Authors:  D Gordon; C Abajian; P Green
Journal:  Genome Res       Date:  1998-03       Impact factor: 9.043

6.  Strains of the genus Serratia as beneficial rhizobacteria of oilseed rape with antifungal properties.

Authors:  C Kalbe; P Marten; G Berg
Journal:  Microbiol Res       Date:  1996-12       Impact factor: 5.415

7.  The Genomes On Line Database (GOLD) in 2009: status of genomic and metagenomic projects and their associated metadata.

Authors:  Konstantinos Liolios; I-Min A Chen; Konstantinos Mavromatis; Nektarios Tavernarakis; Philip Hugenholtz; Victor M Markowitz; Nikos C Kyrpides
Journal:  Nucleic Acids Res       Date:  2009-11-13       Impact factor: 16.971

8.  Genome survey and characterization of endophytic bacteria exhibiting a beneficial effect on growth and development of poplar trees.

Authors:  Safiyh Taghavi; Craig Garafola; Sébastien Monchy; Lee Newman; Adam Hoffman; Nele Weyens; Tanja Barac; Jaco Vangronsveld; Daniel van der Lelie
Journal:  Appl Environ Microbiol       Date:  2008-12-05       Impact factor: 4.792

9.  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

10.  Standard operating procedure for calculating genome-to-genome distances based on high-scoring segment pairs.

Authors:  Alexander F Auch; Hans-Peter Klenk; Markus Göker
Journal:  Stand Genomic Sci       Date:  2010-01-28
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  12 in total

1.  Complete genome sequence of Serratia plymuthica strain AS12.

Authors:  Saraswoti Neupane; Roger D Finlay; Sadhna Alström; Lynne Goodwin; Nikos C Kyrpides; Susan Lucas; Alla Lapidus; David Bruce; Sam Pitluck; Lin Peters; Galina Ovchinnikova; Olga Chertkov; James Han; Cliff Han; Roxanne Tapia; John C Detter; Miriam Land; Loren Hauser; Jan-Fang Cheng; Natalia Ivanova; Ioanna Pagani; Hans-Peter Klenk; Tanja Woyke; Nils Högberg
Journal:  Stand Genomic Sci       Date:  2012-05-01

2.  Transcriptomic changes in the plant pathogenic fungus Rhizoctonia solani AG-3 in response to the antagonistic bacteria Serratia proteamaculans and Serratia plymuthica.

Authors:  Konstantia Gkarmiri; Roger D Finlay; Sadhna Alström; Elizabeth Thomas; Marc A Cubeta; Nils Högberg
Journal:  BMC Genomics       Date:  2015-08-22       Impact factor: 3.969

3.  Complete genome sequences of the Serratia plymuthica strains 3Rp8 and 3Re4-18, two rhizosphere bacteria with antagonistic activity towards fungal phytopathogens and plant growth promoting abilities.

Authors:  Eveline Adam; Henry Müller; Armin Erlacher; Gabriele Berg
Journal:  Stand Genomic Sci       Date:  2016-09-06

Review 4.  Understanding pine wilt disease: roles of the pine endophytic bacteria and of the bacteria carried by the disease-causing pinewood nematode.

Authors:  Diogo N Proença; Gregor Grass; Paula V Morais
Journal:  Microbiologyopen       Date:  2016-10-26       Impact factor: 3.139

5.  Bacteriophage ϕMAM1, a viunalikevirus, is a broad-host-range, high-efficiency generalized transducer that infects environmental and clinical isolates of the enterobacterial genera Serratia and Kluyvera.

Authors:  Miguel A Matilla; George P C Salmond
Journal:  Appl Environ Microbiol       Date:  2014-08-08       Impact factor: 4.792

6.  Complete genome sequence of the plant-associated Serratia plymuthica strain AS13.

Authors:  Saraswoti Neupane; Roger D Finlay; Nikos C Kyrpides; Lynne Goodwin; Sadhna Alström; Susan Lucas; Miriam Land; James Han; Alla Lapidus; Jan-Fang Cheng; David Bruce; Sam Pitluck; Lin Peters; Galina Ovchinnikova; Brittany Held; Cliff Han; John C Detter; Roxanne Tapia; Loren Hauser; Natalia Ivanova; Ioanna Pagani; Tanja Woyke; Hans-Peter Klenk; Nils Högberg
Journal:  Stand Genomic Sci       Date:  2012-09-26

7.  A PKS/NRPS/FAS hybrid gene cluster from Serratia plymuthica RVH1 encoding the biosynthesis of three broad spectrum, zeamine-related antibiotics.

Authors:  Joleen Masschelein; Wesley Mattheus; Ling-Jie Gao; Pieter Moons; Rob Van Houdt; Birgit Uytterhoeven; Chris Lamberigts; Eveline Lescrinier; Jef Rozenski; Piet Herdewijn; Abram Aertsen; Chris Michiels; Rob Lavigne
Journal:  PLoS One       Date:  2013-01-17       Impact factor: 3.240

8.  Genome evolution and plasticity of Serratia marcescens, an important multidrug-resistant nosocomial pathogen.

Authors:  Atsushi Iguchi; Yutaka Nagaya; Elizabeth Pradel; Tadasuke Ooka; Yoshitoshi Ogura; Keisuke Katsura; Ken Kurokawa; Kenshiro Oshima; Masahira Hattori; Julian Parkhill; Mohamed Sebaihia; Sarah J Coulthurst; Naomasa Gotoh; Nicholas R Thomson; Jonathan J Ewbank; Tetsuya Hayashi
Journal:  Genome Biol Evol       Date:  2014-08       Impact factor: 3.416

9.  The broad-spectrum antibiotic, zeamine, kills the nematode worm Caenorhabditis elegans.

Authors:  Josephine E E U Hellberg; Miguel A Matilla; George P C Salmond
Journal:  Front Microbiol       Date:  2015-02-26       Impact factor: 5.640

10.  Genome Sequence of Serratia plymuthica A153, a Model Rhizobacterium for the Investigation of the Synthesis and Regulation of Haterumalides, Zeamine, and Andrimid.

Authors:  Miguel A Matilla; Alison Drew; Zulema Udaondo; Tino Krell; George P C Salmond
Journal:  Genome Announc       Date:  2016-05-19
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