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. 2017 Jan 24;7:41259. doi: 10.1038/srep41259

Safety assessment of Staphylococcus phages of the family Myoviridae based on complete genome sequences

Zelin Cui 1,a, Xiaokui Guo 2, Ke Dong 2, Yan Zhang 2, Qingtian Li 3, Yongzhang Zhu 2, Lingbing Zeng 2, Rong Tang 1, Li Li 1,b
PMCID: PMC5259776  PMID: 28117392

Abstract

Staphylococcus phages of the Myoviridae family have a wide host range and potential applications in phage therapy. In this report, safety assessments of these phages were conducted based on their complete genome sequences. The complete genomes of Staphylococcus phages of the Myoviridae family were analyzed, and the Open Reading Frame (ORFs) were compared with a pool of virulence and antibiotic resistance genes using the BLAST algorithm. In addition, the lifestyle of the phages (virulent or temperate) was also confirmed using PHACTS. The results showed that all phages were lytic and did not contain resistance or virulence genes based on bioinformatic analyses, excluding the possibility that they could be vectors for the dissemination of these undesirable genes. These findings suggest that the phages are safe at the genome level. The SceD-like transglycosylase, which is a biomarker for vancomycin-intermediate strains, was widely distributed in the phage genomes. Approximately 70% of the ORFs encoded in the phage genomes have unknown functions; therefore, their roles in the antibiotic resistance and virulence of Staphylococcus aureus are still unknown and require consideration before use in phage therapy.


Due to the appearance and dissemination of antibiotic-resistant bacteria, concern is increasing that certain bacteria will develop resistance to all known antibiotics, and we will enter a post-antibiotic era. Recently, phage therapy has regained interest among scientists, and some phages have been used in clinical trials with no harmful effects on the trial participants1,2,3.

While phages can be vectors for horizontal gene transfer, several studies have shown that they can also be sources for the transmission of virulence and antibiotic resistance genes among bacteria4, thereby accelerating the evolution of virulence and/or antibiotic resistance in bacteria. Phages containing such undesirable genes could be harmful to human health and must be excluded from phage therapy. One study confirmed that Stx production was phage-regulated in stx(2g)-positive strains (Shiga toxin-producing Escherichia coli (STEC))5. Report also showed that bacteriophages from poultry, cattle and pigs containing antibiotic resistance genes6. These studies suggest that bacteriophages could be environmental vectors for the horizontal transfer of virulence and antibiotic resistance genes.

Staphylococcus phages of the Myoviridae family have been isolated worldwide. Published data show that they have a wide host range and can potentially be used for phage therapy. To date, the complete genome sequences of dozens of Staphylococcus phages of the Myoviridae family have become available, including phage K, G1, Twort, A5W, Sb-1, ISP, SA5, GH15, JD007, SA11, vB_SauM_Remus, vB_SauM_Romulus, S25-3, S25-4, phiIPLA-RODI, phiIPLA-C1C, phiSA012, Team1, P108, MCE-2014, 812, SA1, Staphy1N, MSA6, 676Z, P4W, and Fi200w7,8,9,10,11,12,13,14,15. These phages can potentially be used for the treatment of infectious diseases caused by Staphylococcus aureus in animal models. Phage S25-3 has been shown to prolong life in the silkworm larval infection model and other animal infection models16. The Staphylococcus phages Romulus and Remus have infected approximately 70% of the tested S. aureus strains and display promising lytic activity against these isolates15. The Staphylococcus phage ISP was shown to be effective against 86% of tested isolates, including relevant methicillin-resistant S. aureus (MRSA) strains7. These studies demonstrate the potential use of phages for the prevention of infectious diseases caused by S. aureus. In the present report, a safety assessment based on complete genome sequences of Staphylococcus phages of the Myoviridae family was conducted to evaluate their suitability for clinical use.

Methods

Complete phage genomes

Staphylococcus phages of the Myoviridae family, including the previously reported phage JD007, had complete genome sequence data. The complete genome sequences were collected from the NCBI database (http://www.ncbi.nlm.nih.gov/genome/viruses/). All Staphylococcus phages belonged to the Myoviridae family and were verified by detailed information provided by the NCBI phylogeny system and their morphology. The published papers related to these phages were also screened. The Staphylococcus phages were confirmed to belong to the Myoviridae family by morphological characterization of the contractile sheath between the head and tail.

General genomic features of the phages

The complete genome sequences of Staphylococcus phages of the Myoviridae family were downloaded in FASTA format from NCBI along with their annotation information. The genomes of the phages were re-annotated using RAST, and each ORF and protein domain search was performed using the InterProScan program and CDD17,18. The phylogeny tree was constructed using MEGA5 with the complete genome sequences based on the neighbour-joining method19. The visual alignments of the complete genomes were constructed using the Mauve2.3.1 program20.

Lifestyles of the phages

The lifestyles of phages (virulent or temperate) were predicted using the PHACTS program (http://www.phantome.org/PHACTS/index.htm)21. The genome annotation results of each phage were analyzed using PHACTS, and their lifestyle was confirmed. PHACTS utilizes a novel algorithm and a supervised Random Forest classifier to predict whether the lifestyle of a phage is virulent or temperate. The algorithm creates a training set from phages with known lifestyles. PHACTS predictions have been shown to have a 99% precision rate, and PHACTS can also determine the lifestyle of a phage using only genomic data. A current limitation of PHACTS is that a confident lifestyle prediction cannot be made for a small number of phages. This is primarily due to the variability that arises from the random sampling during classifications. If an unknown phage does not have any similarity to phages with known lifestyles in the database, the predictions will be less certain. It is expected that as more phages with known lifestyles are added to the database, the precision rate and sensitivity of the predictions will increase21. Additionally, the experimental results of the bacteriophage one step growth curve reported in the corresponding papers were also analyzed to confirm the phage lifestyles.

Analysis of virulence and antibiotic resistance genes

All annotated phage ORFs were used to search an antibiotic resistance gene database (ARDB, http://ardb.cbcb.umd.edu/)22 and a virulence factor database (VFDB, http://www.mgc.ac.cn/VFs/main.htm)23. Hits with more than 70% coverage and 30% identity were considered as positive results. Lihong et al. improved the infrastructural dataset of VFDB: (i) removed the redundancy introduced by previous releases and generated two hierarchical datasets–one core dataset of experimentally verified virulence factors (VFs) only and another full dataset including all known and predicted VFs. Their efforts enhanced the data quality of the VFDB and promoted the usability of the database in the big data era for the bioinformatic mining of the explosively growing data regarding bacterial VFs23. Antibiotic Resistance Genes Database (ARDB)—unifying most of the publicly available information on antibiotic resistance. Each gene and resistance type is annotated with rich information, including resistance profile, mechanism of action, ontology, COG and CDD annotations, as well as external links to sequence and protein databases. ARDB database also supports sequence similarity searches and implements an initial version of a tool for characterizing common mutations that confer antibiotic resistance. The information they provided can be used as compendium of antibiotic resistance factors as well as to identify the resistance genes of newly sequenced genes, genomes, or metagenomes22.

Phylogenetic relationship of the phages

To identify the phylogenetic relationship among Staphylococcus phages of the Myoviridae family, other S. aureus phages, including Podoviridae (including Staphylococcus phages 44AHJD, 66, GRCS, P68, PT1028, S24-1, and SAP-2) and Siphoviridae (including Staphylococcus phages 3MRA, 13, 29, 52A, 55, 69, 77, 92, 187, 2638A, DW2, IME-SA4, Ipla7, P954, phi5967PVL, phiSa119, phiSauS-IPLA88, PVL, SA13, SA97, SAP-26, SpaA1, StauST-398-3, StB20, StB20-like, StB27, 3A, 11, 23MRA, 37, 71, 88, 96, B166, B236, CNPH82, Ipla5, JS01, phiBU01, phiETA, phiETA2, phiETA3, phiJB, phiMR11, phiNM1, and phiNM2) (phages’ nucleic acid access numbers refer additional file 1), were chosen to evaluate the phylogenetic relationship using complete genome sequences (http://www.ncbi.nlm.nih.gov/genome/viruses/). The neighbour-joining tree was constructed using MEGA519.

Results

General genomic features of Staphylococcus phages of the Myoviridae family

A total of 22 Staphylococcus phages with complete genome sequence data were examined: K, G1, Twort, A5W, Sb-1, ISP, SA5, GH15, JD007, SA11, vB_SauM_Remus, vB_SauM_Romulus, S25-3, S25-4, phiIPLA-RODI, phiIPLA-C1C, phiSA012, Team1, P108, MCE-2014, 812, and SA17,8,9,10,11,12,13,14,15. The Staphylococcus phages Staphy1N, MSA6, 676Z, P4W, and Fi200w, for which only partial genome sequences were available, were excluded from this study. The phages have been isolated worldwide, and all belong to the Myoviridae family. As shown in Table 1, the genomes were approximately 127 kb–148 kb in length, contained between 170 and 220 ORFs, and had a GC content of 27–31%. However, the GC content of phage SA1 was 45.83%, which was much higher than other Staphylococcus phages of the Myoviridae family.

Table 1. The Staphylococcus phages of the Myoviridae family with published complete genome sequences (through June, 2016).

Phages Country Size (bp) GC % Access No. Lytic/Lysogenic Date Refs
K USA 127395 30.60 NC_005880 lytic 2004 10
G1 Georgia 138715 30.39 AY954969.1 lytic 2005 33
Twort Canada 130706 30.26 NC_007021 lytic 2005 33
A5W Poland 137083 30.47 EU418428.1 lytic 2008 NCBI
Sb-1 Georgia 127188 30.48 HQ163896.1 lytic 2011 34
ISP Georgia 138339 30.42 FR852584.1 lytic 2011 7
SA5 Georgia 137031 30.42 JX875065 lytic 2012 NCBI
GH15 China 139806 30.23 JQ686190 lytic 2012 14
JD007 China 141836 30.37 JX878671 lytic 2012 13
SA11 Korea 136326 30.04 JX194239 lytic 2012 8
vB_SauM_Remus Belgium 134643 29.97 JX846612 lytic 2013 15
vB_SauM_Romulus Belgium 131332 30.01 JX846613 lytic 2013 15
S25-3 Japan 139738 30.22 AB853330 lytic 2013 9
S25-4 Japan 132123 30.31 AB853331 lytic 2013 9
phiIPLA-RODI Belgium 142348 30.42 KP027446 lytic 2015 11
phiIPLA-C1C Belgium 140961 27.98 KP027447 lytic 2015 11
phiSA012 Japan 142094 30.31 NC_023573 lytic 2009 35
Team1 Canada 140903 30.33 KC012913.1 lytic 2014 36
P108 China 140807 30.22 KM216423.1 lytic 2014 NCBI
MCE-2014 U.K. 141907 30.38 NC_025416 lytic 2014 37
812 USA 142096 30.40 NC_029080 lytic 2016 NCBI
SA1 USA 147303 45.83 NC_027991 lytic 2015 NCBI

Lytic or lysogenic analysis

PHACTS, a computational approach used to classify the lifestyle of bacteriophages, was used after the complete genome sequences were annotated and the proteins were converted into the FASTA format. The results showed that the Staphylococcus phages K, G1, Twort, A5W, Sb-1, ISP, SA5, GH15, JD007, SA11, vB_SauM_Remus, vB_SauM_Romulus, S25-3, S25-4, phiIPLA-RODI, phiIPLA-C1C, phiSA012, Team1, P108, MCE-2014, 812, and SA1 belong to the Myoviridae family and are all lytic phages7,8,9,10,11,12,13,14,15. The previous report shows that phage phiIPLA-RODI and phiIPLA-C1C are lytic phages11, our results were consistent with the studies reported previously.

Genome organization and annotation

The complete genomic sequences of Staphylococcus phages of the Myoviridae family were compared. As showed in Fig. 1, the genomic structure was chimeric and linear. Several functional modules shown in Table 2 consistently exhibited mosaicism in the genomes, including those involved in packaging, lysis, structure, phage and host interactions, DNA manipulation, and some ORFs with additional functions. High degrees of sequence similarity were evident across the phage sequences, which is unique among Staphylococcus phages of the Myoviridae family. While, recombinase gene was widely existed in the complete genomes of Staphylococcus phages of the Myoviridae family, what suggest that genomic sequences combination may occur between the homologue sequences during phage infection. The difficulties to knock out recombinase gene in these phages may block experimental validation the fully inactivity of Recombinase or confirmation there were no homologue sequences combination occur in the recombinase knock-out phages.

Figure 1. Comparative genomic analysis of Staphylococcus phages of the Myoviridae family.

Figure 1

Table 2. The functional modules of the ORFs in the genomes of Staphylococcus phages of the Myoviridae family.

Modules Functional ORFs 812 A5W G1 GH15 ISP JD007 K MCE-2014 P108 phiI-PLA-C1C phiIPLA -ROD1 phiSA 012 S25-3 S25-4 SA11 Twort Sb-1 Team1 SA5 vB_SauM_Romulus vB_SauM_Remus SA1
Replication DNA helicase + + + + + + + + + + + + + + + + + + + + + +
DNA polymerase I + + + + + + + + + + + + + + + + + + + + + +
DNA primase + + + + + + + +   + + + + + + + + + + + + +
Ribonu-clease H + + + + + + + + + + + + + + + + + + + + +  
Introns HNH homing endonuc-lease + + + + +   + +   + + +     + + + + + + + +
Lysis Endolysin + + + + + + + + + + + + + + + + + + + + + +
Holin + + + + + + + + + + + + + + + + + + + + +  
Packaging Terminase, large subunit + + + + + + + + + + + + + + + + + + + + + +
Structure Baseplate + + + + + + + + + + + + + + + + + + + + + +
Capsid and scaffold + + + + + + + + + + + + + + + + + + + + +  
Major capsid protein + + + + + + + + + + + + + +   + + + + + + +
Major tail protein + + + + + + + + +   + + + + + + + + + + +  
Major tail sheath + + + + + + + + + + + + + + + + + + + + +  
Regulation DNA transfer protein + + + + + + + + + + +   + + +   + + + + +  
DNA-binding protein + + + + + + + + + + +   + + +   + + + + +  
Integration host factor + + + + + + + + + + + + + + + + + + + + +  
Recomb-ination Recomb-inase       +   +   +   +   +     + +   +   + +  
Exonuclease + + + + + + + + + + + + + + + + + + + + + +
Endon-uclease + + + + + + + + +   + + + + + + + + + + +  
RecA protein + + +   +   +   +   +   + +     +   +      

Analysis of virulence and antibiotic resistance genes

All of the predicted ORFs were compared with the sequences in the Antibiotic Resistance Genes Database (ARDB) and the virulence factors database VFDB using the BLASTn algorithm, with the criteria that genes with more than 70% coverage and 30% identity were considered to exhibit positive results. No significant hits based on the ORFs predicted in the complete genomes of the Staphylococcus phages of the Myoviridae family were obtained.

As shown in Fig. 2, the SceD-like transglycosylase, which is a biomarker for vancomycin-intermediate strains24, was encoded in the genome of Staphylococcus phages K, G1, Twort, A5W, Sb-1, ISP, SA5, GH15, JD007, SA11, vB_SauM_Remus, vB_SauM_Romulus, S25-3, S25-4, phiIPLA-RODI, phiIPLA-C1C, phiSA012, Team1, P108, MCE-2014, and 8127,8,9,10,11,12,13,14,15. Furthermore, approximately 70% of the ORFs were predicted to have unknown functions. It suggested that these ORFs encoding proteins with no similarity functional domains of proteins in InterProScan and CDD database.

Figure 2. The SceD-like transglycosylase gene is widely distributed in the genome of Staphylococcus phages of the Myoviridae family.

Figure 2

Clustering of Staphylococcus phages of the Myoviridae family

The phylogeny tree showed that Staphylococcus phages of the Myoviridae family clustered in the same branch, based on the alignments of the complete genome sequences. As shown in Fig. 3, the phages K, G1, Twort, A5W, Sb-1, ISP, SA5, GH15, JD007, SA11, vB_SauM_Remus, vB_SauM_Romulus, S25-3, S25-4, phiIPLA-RODI, phiIPLA-C1C, phiSA012, Team1, P108, MCE-2014, 812, and SA17,8,9,10,11,12,13,14,15 clustered together on the same sub-branch with other Staphylococcus phages of the Myoviridae family. These results are consistent with the morphology of the phages. It is well known that the proteins such as Helicase, DNA Polymerase, Primase, Large terminase and Major Capsid Protein encoded in the genome of phages are usually chosen to draw phylogenic trees25. However, such genes are not always simultaneously existed in the genomes of phages our study enrolled, so it is difficult to cluster phages using these genes when some phages have while others are not. With the development of genome sequencing recently, the complete genome sequences of viruses with high identity were chosen to draw the phylogenic trees with high accuracy.

Figure 3. The phylogenetic tree of Staphylococcus phages of the Myoviridae family.

Figure 3

The diagram represents the phylogeny constructed using the complete phage genome sequences via the neighbour-joining method.

Discussions

Phage therapy has become a subject of renewed interest recently, and some phages have been used in clinical trials, including the Staphylococcus phages of the Myoviridae family. Several studies have evaluated the safety of certain phages in clinical trials. Rhoads et al. reported a study in which ulcers were treated for 12 weeks with bacteriophages targeting Pseudomonas aeruginosa, S. aureus, and Escherichia coli or a saline control3. Follow-up continued until week 24, and no adverse events were attributed to the phage therapy. In addition, no significant difference was determined between the test and control groups regarding the frequency of adverse events, rate of healing, or frequency of healing3. Unlike normal antibiotics, a bacteriophage is a type of virus that contains genetic material. Therefore, potentially useful phages require full evaluation prior to use in phage therapy. A bacteriophage may be a potential mechanism for the transmission of antibiotic resistance genes or virulence genes among bacteria. A prophage may contribute the pathogenic traits of Enterococcus feaclis26. Antibiotic resistance genes, including blaTEM, qnrA, blaCTX-M-1, and toxin genes, have been found in the DNA of bacteriophages isolated from human faecal samples27,28. Therefore, safety assessment of phages at the genome level is critically important. First, an analysis should determine whether the bacteriophage carries genes that may accelerate the virulence and antibiotic resistance of bacteria when these genes integrate into their genomes. Second, the ability of the bacteriophage genome that will integrate into the genome of bacteria should be assessed. In this evaluation, it is important and necessary to assess the safety of bacteriophages at the genome level. McCallin et al. evaluated the safety of a phage cocktail from one company, and a small volunteer trial did not report an association between adverse effects and oral phage exposure29. During that study, the genome sequences of phages were obtained, and bioinformatics analysis revealed that no undesirable genes were present29. A safety assessment of the phage at the genome level is an essential step during the evaluation of the suitability of phages for therapeutic applications.

Staphylococcus phages of the Myoviridae family are potentially useful for phage therapy. Dozens of phages have been shown to protect mice from death after infection with S. aureus. Some phages have been used in clinical trials, and no adverse effects have been reported. In this report, our results showed that none of these bacteriophages carried any antibiotic resistance or virulence genes. In addition, all of the studied bacteriophages were virulent and were therefore unable to integrate into the genome of S. aureus. Our studies show that Staphylococcus phages of the Myoviridae family are safe at the genome level. While, as showed in Table 2, recombinase was widely distributed in phage GH15, JD007, MCE-2014, phiIPLA-C1C, phiSA012, SA11, Twort. Team1, vB_SauM_Romulus and vB_SauM_Remus, it was reported that Recombinase could recombine homologous genome sequences between bacteriophages or/and its host30,31; and the SceD-like transglycosylase, which is a biomarker for vancomycin-intermediate strains24 is encoded in the genome of Staphylococcus phages K, G1, Twort, A5W, Sb-1, ISP, SA5, GH15, JD007, SA11, vB_SauM_Remus, vB_SauM_Romulus, S25-3, S25-4, phiIPLA-RODI, phiIPLA-C1C, phiSA012, Team1, P108, MCE-2014, and 8127,8,9,10,11,12,13,14,15. The expression of this gene during S. aureus infection may increase the minimum inhibitory concentration of vancomycin used for the treatment of infections caused by MRSA; furthermore, approximately 70% of the ORFs encoded in the phage genomes have unknown functions, and their potential roles in S. aureus antibiotic resistance and virulence are unknown, what’s more, with the development of genome sequencing, acquisition of a complete genome sequence of organism become much more easily, and lots of ORFs encoded proteins with unknown functions32. All of the above factors represent a potential genome-level risk for phage therapy. Therefore, the clinical use of these phages should be evaluated comprehensively.

In summary, Staphylococcus phages of the Myoviridae family have been isolated worldwide. Morphology studies have shown that these phages are contractile between the head and tail. In addition, they have a wide host range and can prevent infectious diseases in animal models, and pre-clinical and clinical trials have not reported any adverse effects. Our results show that Staphylococcus phages of the Myoviridae family and are lytic and therefore cannot integrate into the genomes of their host. In addition, no antibiotic resistance or virulence genes were present in their genomes, indicating that they are safe at the genome level. In addition, the phages analyzed in this study clustered in the same branch of an evolutionary tree, suggesting that they share a common ancestor.

Additional Information

How to cite this article: Cui, Z. et al. Safety assessment of Staphylococcus phages of the family Myoviridae based on complete genome sequences. Sci. Rep. 7, 41259; doi: 10.1038/srep41259 (2017).

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Material

Supplementary Information
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Acknowledgments

This work was sponsored in part by the National Natural Science Foundation of China (No. 31500154), the Shanghai Sailing Program (No. 15YF1409500), the fund of the Shanghai Health and Family Planning Committee (No. 201440289), the Pre-outstanding Medical Youth Program of Shanghai General Hospital (No. 06N1503012), and the Shanghai Jiao Tong University School of Medicine Dr Innovation Fund (No. BXJ201201).

Footnotes

Author Contributions Z.L.C. and X.K.G. performed the molecular genetic studies, participated in the sequence alignment, and drafted the manuscript. Q.T.L., K.D., L.B.Z., Y.Z., R.T. and Y.Z.Z. participated in the sequence alignment. Z.L.C. and L.L. participated in the design of the study and performed the statistical analysis. Z.L.C. and L.L. conceived of the study, participated in the study design and coordination, and helped to draft the manuscript.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Information
srep41259-s1.doc (113KB, doc)
Supplementary Dataset 1
srep41259-s2.xls (200KB, xls)
Supplementary Dataset 2
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Supplementary Dataset 3
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Supplementary Dataset 4
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Supplementary Dataset 6
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Supplementary Dataset 7
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Supplementary Dataset 9
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Supplementary Dataset 11
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Supplementary Dataset 13
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Supplementary Dataset 14
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Supplementary Dataset 15
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Supplementary Dataset 16
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Supplementary Dataset 17
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Supplementary Dataset 18
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Supplementary Dataset 19
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Supplementary Dataset 20
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Supplementary Dataset 21
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Supplementary Dataset 22
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