Next Article in Journal
Development of Genome Editing Approaches against Herpes Simplex Virus Infections
Previous Article in Journal
An Efficient, Counter-Selection-Based Method for Prophage Curing in Pseudomonas aeruginosa Strains
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Examination of Staphylococcus aureus Prophages Circulating in Egypt

by
Adriana Ene
1,
Taylor Miller-Ensminger
1,
Carine R. Mores
2,
Silvia Giannattasio-Ferraz
3,
Alan J. Wolfe
2,
Alaa Abouelfetouh
4,5 and
Catherine Putonti
1,2,6,*
1
Bioinformatics Program, Loyola University Chicago, Chicago, IL 60660, USA
2
Department of Microbiology and Immunology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL 60153, USA
3
Departmento de Microbiologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil
4
Department of Microbiology and Immunology, Faculty of Pharmacy, Alexandria University, Alexandria 25435, Egypt
5
Department of Microbiology and Immunology, Faculty of Pharmacy, Alalamein International University, Alalamein 51718, Egypt
6
Department of Biology, Loyola University Chicago, Chicago, IL 60660, USA
*
Author to whom correspondence should be addressed.
Viruses 2021, 13(2), 337; https://doi.org/10.3390/v13020337
Submission received: 27 January 2021 / Revised: 10 February 2021 / Accepted: 18 February 2021 / Published: 22 February 2021
(This article belongs to the Section Bacterial Viruses)

Abstract

:
Staphylococcus aureus infections are of growing concern given the increased incidence of antibiotic resistant strains. Egypt, like several other countries, has seen alarming increases in methicillin-resistant S. aureus (MRSA) infections. This species can rapidly acquire genes associated with resistance, as well as virulence factors, through mobile genetic elements, including phages. Recently, we sequenced 56 S. aureus genomes from Alexandria Main University Hospital in Alexandria, Egypt, complementing 17 S. aureus genomes publicly available from other sites in Egypt. In the current study, we found that the majority (73.6%) of these strains contain intact prophages, including Biseptimaviruses, Phietaviruses, and Triaviruses. Further investigation of these prophages revealed evidence of horizontal exchange of the integrase for two of the prophages. These Egyptian S. aureus prophages are predicted to encode numerous virulence factors, including genes associated with immune evasion and toxins, including the Panton–Valentine leukocidin (PVL)-associated genes lukF-PV/lukS-PV. Thus, prophages are likely to be a major contributor to the virulence of S. aureus strains in circulation in Egypt.

1. Introduction

Staphylococcus aureus is found in the environment and on the skin and mucus membranes of healthy individuals as a commensal bacterium [1]. However, these bacteria have the potential to cause many forms of infection ranging from mild skin to serious life-threatening infections—including septicemia, pneumonia, and endocarditis [2]. In several countries throughout the world, antibiotic use in not regulated, which leads to increased antibiotic resistance levels [3]. Community-acquired and hospital-acquired S. aureus infections are common, and treatment is a major challenge [4,5]. S. aureus is able to rapidly acquire antibiotic resistance leading to multi-drug resistant strains such as MRSA (methicillin-resistant S. aureus). Of paramount concern is the increase of antibiotic resistance and virulence factor acquisition through mobile genetic elements (MGEs), such as plasmids, transposons, insertion sequences, and phages. Prior studies have identified numerous S. aureus virulence factors encoded by MGEs (see review [6]).
Temperate phages that infect S. aureus have been intensely studied given their frequent association with virulence [7]. Furthermore, associations between phage activity and pathogenicity have been observed [8]. Numerous S. aureus prophages have been identified to date and analysis of their sequences has found genes encoding for Panton–Valentine leukocidin (PVL), exfoliative toxin A (eta), and the immune evasion cluster (IEC), which includes the enterotoxin S (sea), staphylokinase (sak), the chemotaxis inhibitory protein (chp), and the staphylococcal complement inhibitor (scn) [9,10,11,12,13,14]. This is in addition to several other virulence factors and genes conferring antibiotic resistance. Prior comparative studies of S. aureus prophages have found that these phage genomes are highly mosaic [15]. Temperate S. aureus phages are generally grouped into one three serogroups (A, B, and F) and one of 12 ‘types’ based upon their integrase gene sequence [16,17,18]. Association between virulence factors, as well as localization of infection, and integrase types have been previously noted [9,15,19,20,21,22,23,24].
In Egypt, antibiotic use is not regulated, and most antimicrobial agents are available without the need for a prescription. Thus, antibiotic therapy is often ineffective, a problem compounded by the use of the wrong antibiotic and both inappropriate dosage and duration. Consequently, Egypt has seen alarming increases in antibiotic resistance, including MRSA and MRSH (methicillin-resistant S. haemolyticus) prevalence [25,26,27,28]. Recently, we conducted a genomic study of S. aureus isolates from Egypt, contributing 56 new genome sequences to public data repositories [29]. Here, we examined these S. aureus genome sequences, as well as 17 publicly available genomes of S. aureus isolates also from Egypt. Prophage sequences identified include three different phage genera of the family Siphoviridae; more than half encode for one or more virulence factor. Exploring these prophage sequences provides a better understanding of the reservoir of virulence- and antibiotic resistance-associated genes in circulation within Egypt.

2. Materials and Methods

2.1. Prophage Prediction and Identification

Draft genome sequences isolated from Egypt were retrieved from NCBI. Table S1 lists the accession numbers for these sequences. Each was uploaded to the webtool PHASTER for prophage prediction [30]. PHASTER predictions include incomplete, questionable, and intact prophage sequences. Our analyses focused on intact prophage sequences only. Each intact prophage nucleotide sequence was queried against the viral nr/nt database (viruses (taxid:10239)) via BLAST, and results were recorded.

2.2. Cluster Analysis

Homologous prophage sequences were identified using usearch v.11.0.667 [31]. A 50% nucleotide similarity threshold was used to perform clustering using the ‘cluster_fast’ method. Identified clusters were then aligned using the progressiveMauve algorithm [32] and MAFFT v7.388 [33] through Geneious Prime v2019.1.1 (Biomatters Ltd., Auckland, New Zealand). Phylogenetic trees were derived using FastTree v2.1.11 [34] through Geneious Prime and visualized using iTOL v5 [35]. JSpeciesWS v3.4.8 [36] was used to calculate ANI values between prophage sequences.

2.3. Pangenome Analysis

Intact prophage sequences were examined using anvi’o v6.2 [37]. A pangenome was computed using the command anvi-pan-genome with the ncbi flag and an mcl inflation of 10. Single copy genes were identified, resulting in a set of 43,152 genes from 496 gene clusters. Pangenome images were generated using anvi’o. Next, results were parsed with Python to create a wedge weighted edge list. This file was input into Cystoscope v3.8.1 (https://cytoscape.org/ (accessed on 1 January 2021)) for visualization.

2.4. Gene Annotation

To complement our anvi’o analysis, prophage sequences were also annotated using RAST [38] and examined for antibiotic resistance genes using ResFinder [39]. Furthermore, virulence factors were identified using VFanalyzer [40].

2.5. Phylogenetic Analyses

Amino acid sequences for integrase and large subunit terminase were identified in each predicted prophage sequence as follows. Representatives of the Sa1int–Sa2int proteins were retrieved from NCBI and predicted prophage sequences were locally blasted against these sequences using BLAST+. Based on the BLAST results, the protein coding sequence was extracted from the RAST annotation file. These representative integrase type sequences include: NP_510895.1 [Sa1int], NP_058467.1 [Sa2int], NP_803356.1 [Sa3int], YP_002332364.1 [Sa4int], YP_240491.1 [Sa5int], AAX91804.1 [Sa6int], YP_239679.1 [Sa7int], YP_002332477.1 [Sa8int], AAX91428.1 [Sa9int], AAX91273.1 [Sa10int], YP_240184.1 [Sa11int], and YP_001604091.1 [Sa12int]. These representative sequences were selected based upon the strain classification of S. aureus prophages previously published by Goerke et al. (2009) [19]. Terminase genes were identified by the RAST annotation. Gene sequences were aligned using MAFFT v7.388 [33] and the phylogenetic tree was derived using FastTree v2.1.11 [34]. Trees were visualized using iTOL v5 [35].

3. Results

Seventy-three complete or draft S. aureus genomes from isolates collected in Egypt were retrieved from NCBI. These include isolates from blood, aspirate, urine, pus, and sputum [29]. Prophages are abundant within these Egyptian S. aureus strains. Fifty-three of the 73 strains investigated harbored recognizable, intact prophages; all of the genomes encoded for phage genes, suggestive of defective or defunct prophages (Table S1). However, we focused on the 87 intact prophage sequences (Table 1). These intact prophages ranged in size from 13kbp in strain S. aureus AA57 to 81kbp in strain S. aureus AA70. The average intact prophage length was 41kbp.
Each predicted intact prophage sequence was then queried against the NCBI nr/nt database. All of the predicted prophage sequences exhibited sequence homology to tailed phages of the family Siphoviridae (Table S2). These siphoviruses include three genera— Biseptimavirus, Phietavirus, and Triavirus. While 13 Egyptian S. aureus prophage sequences were nearly identical (>90% query coverage and sequence identity) to previously characterized phages, several were distinct. Seven of the predicted prophage sequences shared less than 50% sequence similarity (query coverage) with a characterized phage sequence. These seven include phage_9 (carried by S. aureus AA51), phage_19 (S. aureus AA4), phage_37 (S. aureus AA87), phage_59 (S. aureus AA103), phage_61 (S. aureus AA78), phage_74 (S. aureus 43), and phage_76 (S. aureus 23). Phage_19 exhibited greatest sequence similarity (39% query coverage and 96.14% sequence identity) to the virulent phage SA97 [41]. The other six new phages most closely resembled Staphylococcus phage SAP090B (Table S2), which has yet to be isolated or characterized [42].
Our BLAST queries and pangenome analysis suggest that several of the Egyptian S. aureus isolates harbor similar prophage sequences. We thus clustered the intact prophage sequences based upon nucleotide sequence similarity, finding eight distinct prophage clusters (Table S3). Phylogenetic trees were derived for each cluster, such as prophage cluster A (Figure S1). Table 2 summarizes these prophage clusters. While prophage clusters A and D (Biseptimaviruses) and prophage clusters B, C, G, and H (Phietaviruses) have modules of sequence similarity, differences in lengths, gene acquisition, and reassortment events lead to their assignment to separate clusters. Four prophages did not resemble any of the other prophage sequences: phage_8 (S. aureus AA93), phage_27 (S. aureus AA95), phage_29 (S. aureus AA35), and phage_53 (S. aureus AA53). We refer to these four prophages as ‘singletons’. Based upon their BLAST queries, we can assign phage_8, phage_27, and phage_29 to Phietaviruses and phage_53 to Biseptimaviruses (Table S2).
The 87 Egyptian S. aureus prophages were next examined for their genic content. While no gene was common amongst all of the prophage sequences, every prophage included at least one gene sequence found within another prophage (Figure 1). The most common gene amongst these prophage sequences, found in 77 of the prophages, is the transcriptional activator rinB, which is required for expression of the prophage integrase [43]. As reflected in Figure 2 and Table S3, the prophages vary in the number of genes encoded (minimum = 17; maximum = 94). Phage_38, from S. aureus AA45, contains the most (n = 23) unique or ‘singleton’ phage genes.
Next, the prophage sequences were examined for antibiotic resistance genes and virulence factors. Only three prophages were found to encode for an antibiotic resistance gene: phage_35 (cluster E), phage_64 (cluster F), and phage_77 (cluster E) from S. aureus AA80, AA70, and 14, respectively; they harbor the tetracycline resistance gene tet(M). Forty-four of the 87 prophages encode for a virulence factor. While the individual virulence factors are listed for each individual strain in Table S3, the results are summarized in Table 3. The most frequently identified virulence factors were Staphylokinase and SCIN. The majority of the prophages in Biseptimavirus prophage clusters A and D encoded both of the related genes sak and scn, but one member of prophage cluster E (phage_4) and one member of prophage cluster B (phage_7) encode for both genes. Enterotoxin A (sea) also was frequently observed, but only within the prophages of clusters A and D. Furthermore, 11 prophages encode for the Panton–Valentine leukocidin (PVL)-associated genes lukF-PV/lukS-PV (Table S3). These prophages belong to the genus Triavirus: prophage clusters E (n = 9) and F (n = 2).
Virulence factors have previously been associated with S. aureus phage integrase groups. Thus, we identified the integrase coding regions (if present) in each of the 87 Egyptian S. aureus prophages. In total, 39 of the 87 prophages were found to include an integrase. A phylogenetic tree was derived (Figure 3). These prophages include integrase type Sa1int, Sa2int, Sa3int, and Sa7int. Sa3int prophages encode for sak and scn virulence factor-associated genes, as well as several others. One Sa1int prophage, phage_53, also encodes for sak and scn. PVL-associated genes lukF-PV and lukS-PV are encoded by some, but not all, of the Sa2int prophages.
To further investigate the relatedness of these prophages, we compared the large subunit of the terminase across all of the prophage sequences (Figure 4). Prophages from the two Biseptimaviruses clusters, A and D, show similarities based upon this protein sequence. Similarities are also shared between Triaviruses and Phietaviruses.

4. Discussion

While most of the predicted intact prophages resembled previously characterized staphylococcal phages belonging to the genera Biseptimaviruses, Phietaviruses, and Triaviruses, 7 exhibited less than 50% sequence similarity to sequenced phage sequences indicative of novel gene acquisition. All of the prophages encode for at least one gene shared by another Egyptian S. aureus prophage (Figure 2). Genes essential to lysogeny of the bacterial host were frequently identified within the predicted prophage sequences, including integrases and rinB, which is found in the vast majority of S. aureus siphoviruses [44]. Nevertheless, our pangenome analysis uncovered several isolates encoding for genes unique among the Egyptian S. aureus prophages (Figure 1). Prior research looking at Staphylococcal phages found that horizontal gene transfer amongst these phages is frequent [45].
As expected, prophages belonging to the same cluster have more genes in common (Figure 1). Overall, the integrase groups align with the taxonomic family. Sa3int phages belong to prophage clusters A and D, members of Biseptimavirus. Sa1int phages belong to Phietavirus prophage clusters B and C and the Phietavirus singleton phage_29. Sa1int also includes the singleton phage_53, which most closely resembled a Biseptimavirus (61% query coverage, 99.98% sequence identity). The Sa2int group includes 15 Triaviruses (prophage clusters E and F) and 1 Phietavirus, phage_19 from prophage cluster G. While the BLAST analysis confirms the taxonomic grouping of phage_53 and phage_19 (Table S2), the integrase gene analysis suggests that they exchanged integrase genes with a Phietavirus and Triavirus, respectively, over their evolutionary history. Prior research found that temperate phage within the same Int group are more likely to exchange genetic modules with each other than with phage outside of their group [9]. The Egyptian S. aureus prophages concur with this finding; genes are more commonly shared between prophages belonging to the same Int group (Figure 2).
Prophage cluster H includes helper-phage sequences. This distinction is made based upon their BLAST sequence homology to the well-studied S. aureus phages φ11 and φ80α. The prophage sequences of cluster H are found in S. aureus strains AA30, AA32, AA45, AA68, and AA77. Helper-phage, similar to φ11 and φ80α, have been observed within S. aureus isolates, playing a key role in bacterial pathogenicity [7,46]. These helper-phages interact with S. aureus pathogenicity islands (SaPIs), aiding in excision and replication after a helper-phage is induced or a superinfection of helper-phage takes place [7]. Evidence suggests that helper-phage and SaIPs coevolve, losing and gaining resistance rapidly [47].
The Egyptian S. aureus prophages carry few antibiotic resistance genes. Prior studies of S. aureus genomes have similarly found that phages rarely carry antibiotic resistance genes (see review [48]). The Egyptian S. aureus prophages do, however, encode for several different virulence factor genes—including serine proteases, staphylokinases, chemotaxis inhibitory proteins (CHIPS), Staphylococcal complement inhibitors (SCIN), and toxins. The pattern of virulence factor presence/absence observed is indicative of acquisition via horizontal gene transfer and/or recombination, as has previously been noted [49]. Most frequently detected are the staphylokinase sak and SCIN scn genes, part of the IEC, and enterotoxin S sea (also part of the IEC). Surveys of MRSA strains in Saudi Arabia and Libya similarly found high prevalence of sak and scn among strains [50,51]. Previous studies have found that the IEC is frequently found within Sa3int prophages [19], and all of the Sa3int type prophages identified amongst the Egyptian isolates encode for sak and scn (Figure 3). While the integrase sequences of the Sa3int Egyptian prophages are nearly identical (>99.5% identical), half contain sea, selk, and selq, while the other half do not. The distinction between these two ‘groups’ does not correspond with their cluster, as members of both prophage clusters A and D encode for sea, selk, and selq. Furthermore, the presence/absence does not correspond with the bacterial isolation site nor if the S. aureus strain is hospital- or community-acquired [29]. Rather, this distinction corresponds with the phylogenomic tree for the Egyptian S. aureus host [29].
The most well studied phage-mediated virulence factor for S. aureus is PVL, which targets human phagocytes [10,13]. PVL is a bacteriophage-encoded bi-component pore-forming leukotoxin, lukS-PV and lukF-PV, which is secreted and assembled into a ring shape complex that acts as a membrane pore [52]. PVL is typically carried by community-associated MRSA strains [53,54,55]. Nine of the 11 PVL positive strains are mecA positive; S. aureus AA68 and AA69, which harbor phage_16 and phage_11, respectively, do not encode for mecA. Furthermore, 6 of the prophages encoding lukS-PV and lukF-PV have the SaInt2 type integrase (Figure 2). This concurs with that prior research finding that lukS-PV and lukF-PV are typically carried by SaInt2 type prophages [19]. Integrase genes could not be identified in the other five prophage sequences. It is worth noting, however, that only 13% of the intact prophages carried lukS-PV and lukF-PV. Similar studies of temporally and geographically related S. aureus strains have found a low occurrence of PVL positive strains [51,56].

5. Conclusions

Our examination of S. aureus strains within a single hospital and within a single region reveals a diverse group of prophages in circulation. While these bacteria harbor prophages belonging to three different genera of Siphoviridae, comparison of the prophage sequences revealed numerous likely events of horizontal gene transfer. Prophages are abundant among the Egyptian isolates and over half of these prophages encode for virulence factors, including PVL. This is particularly concerning given the rise of antibiotic resistant pathogens, including S. aureus and MRSA strains, in Egypt and the region. We conclude that prophages are likely to be a major contributor to the virulence of strains in circulation.

Supplementary Materials

The following are available online at https://www.mdpi.com/1999-4915/13/2/337/s1, Figure S1: Phylogenetic tree for prophage cluster A prophage sequences; Table S1: Prophage prediction statistics by strain; Table S2: BLAST hits for the Egyptian S. aureus prophages; Table S3: Coding region statistics of Egyptian S. aureus prophages.

Author Contributions

Conceptualization, A.J.W., A.A., and C.P.; Formal analysis, A.E., T.M.-E., C.R.M., and S.G.-F.; Writing—original draft preparation, T.M.-E., C.R.M., and C.P.; Writing—review and editing, A.E., T.M.-E., C.R.M., S.G.-F., A.J.W., A.A., and C.P.; Visualization, A.E. and C.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Loyola University Chicago’s Mulcahy Research Fellowship (A.E.); NIH, grant number R01 DK104718 (A.J.W.); USAID, grant number GSP-T85 (A.A.); DFG, grant number ZI 665/3-1 (A.A.); and NSF, grant number 1661357 (C.P.).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All data used in this study is publicly available. Accession numbers are listed in Table S1.

Acknowledgments

The authors thank Cesar Montelongo for discussions.

Conflicts of Interest

A.J.W. discloses membership on the Advisory Boards of Pathnostics and Urobiome Therapeutics. The remaining authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. Lowy, F.D. Staphylococcus aureus Infections. N. Engl. J. Med. 1998, 339, 520–532. [Google Scholar] [CrossRef] [PubMed]
  2. Tong, S.Y.C.; Davis, J.S.; Eichenberger, E.; Holland, T.L.; Fowler, V.G. Staphylococcus aureus Infections: Epidemiology, Pathophysiology, Clinical Manifestations, and Management. Clin. Microbiol. Rev. 2015, 28, 603–661. [Google Scholar] [CrossRef] [Green Version]
  3. Hassan, A.M.; Ibrahim, O.; El Guinaidy, M. Surveillance of antibiotic use and resistance in Orthopaedic Department in an Egyptian University Hospital. Int. J. Infect. Control 2011, 7. [Google Scholar] [CrossRef]
  4. Boucher, H.W.; Corey, G.R. Epidemiology of Methicillin-Resistant Staphylococcus aureus. Clin. Infect. Dis. 2008, 46, S344–S349. [Google Scholar] [CrossRef] [Green Version]
  5. Turner, N.A.; Sharma-Kuinkel, B.K.; Maskarinec, S.A.; Eichenberger, E.M.; Shah, P.P.; Carugati, M.; Holland, T.L.; Fowler, V.G. Methicillin-resistant Staphylococcus aureus: An overview of basic and clinical research. Nat. Rev. Microbiol. 2019, 17, 203–218. [Google Scholar] [CrossRef]
  6. Malachowa, N.; DeLeo, F.R. Mobile genetic elements of Staphylococcus aureus. Cell. Mol. Life Sci. 2010, 67, 3057–3071. [Google Scholar] [CrossRef] [Green Version]
  7. Xia, G.; Wolz, C. Phages of Staphylococcus aureus and their impact on host evolution. Infect. Genet. Evol. 2014, 21, 593–601. [Google Scholar] [CrossRef] [PubMed]
  8. Goerke, C.; Papenberg, S.M.Y.; Dasbach, S.; Dietz, K.; Ziebach, R.; Kahl, B.C.; Wolz, C. Increased Frequency of Genomic Alterations in Staphylococcus aureus during Chronic Infection Is in Part Due to Phage Mobilization. J. Infect. Dis. 2004, 189, 724–734. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  9. Kahánková, J.; Pantůček, R.; Goerke, C.; Růžičková, V.; Holochová, P.; Doškař, J. Multilocus PCR typing strategy for differentiation of Staphylococcus aureus siphoviruses reflecting their modular genome structure. Environ. Microbiol. 2010, 12, 2527–2538. [Google Scholar] [CrossRef] [PubMed]
  10. Spaan, A.N.; Henry, T.; van Rooijen, W.J.M.; Perret, M.; Badiou, C.; Aerts, P.C.; Kemmink, J.; de Haas, C.J.C.; van Kessel, K.P.M.; Vandenesch, F.; et al. The Staphylococcal Toxin Panton-Valentine Leukocidin Targets Human C5a Receptors. Cell Host Microbe 2013, 13, 584–594. [Google Scholar] [CrossRef] [Green Version]
  11. Vandenesch, F.; Naimi, T.; Enright, M.C.; Lina, G.; Nimmo, G.R.; Heffernan, H.; Liassine, N.; Bes, M.; Greenland, T.; Reverdy, M.-E.; et al. Community-Acquired Methicillin-Resistant Staphylococcus aureus Carrying Panton-Valentine Leukocidin Genes: Worldwide Emergence. Emerg. Infect. Dis. 2003, 9, 978–984. [Google Scholar] [CrossRef]
  12. Zanger, P.; Nurjadi, D.; Schleucher, R.; Scherbaum, H.; Wolz, C.; Kremsner, P.G.; Schulte, B. Import and spread of Panton-Valentine Leukocidin-positive Staphylococcus aureus through nasal carriage and skin infections in travelers returning from the tropics and subtropics. Clin. Infect. Dis. 2012, 54, 483–492. [Google Scholar] [CrossRef]
  13. Shallcross, L.J.; Fragaszy, E.; Johnson, A.M.; Hayward, A.C. The role of the Panton-Valentine leucocidin toxin in staphylococcal disease: A systematic review and meta-analysis. Lancet Infect. Dis. 2013, 13, 43–54. [Google Scholar] [CrossRef] [Green Version]
  14. Saeed, K.; Gould, I.; Esposito, S.; Ahmad-Saeed, N.; Ahmed, S.S.; Alp, E.; Bal, A.M.; Bassetti, M.; Bonnet, E.; Chan, M.; et al. Corrigendum to ‘Panton-Valentine Leucocidin (PVL) Staphylococcus aureus a position statement from the International Society of Chemotherapy’ (International Journal of Antimicrobial Agents 51/1 (2018) 16–25). Int. J. Antimicrob. Agents 2018, 52, 125. [Google Scholar] [CrossRef] [PubMed]
  15. Mccarthy, A.J.; Witney, A.A.; Lindsay, J.A. Staphylococcus aureus Temperate Bacteriophage: Carriage and Horizontal Gene Transfer is Lineage Associated. Front. Cell. Infect. Microbiol. 2012, 2. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Rountree, P.M. The Serological Differentiation of Staphylococcal Bacteriophages. J. Gen. Microbiol. 1949, 3, 164–173. [Google Scholar] [CrossRef] [Green Version]
  17. Williams, R.E.O.; Rippon, J.E. Bacteriophage typing of Staphylococcus Aureus. J. Hyg. 1952, 50, 320–353. [Google Scholar] [CrossRef]
  18. Rippon, J.E. The classification of bacteriophages lysing staphylococci. J. Hyg. 1956, 54, 213–226. [Google Scholar] [CrossRef] [Green Version]
  19. Goerke, C.; Pantucek, R.; Holtfreter, S.; Schulte, B.; Zink, M.; Grumann, D.; Bröker, B.M.; Doskar, J.; Wolz, C. Diversity of prophages in dominant Staphylococcus aureus clonal lineages. J. Bacteriol. 2009, 191, 3462–3468. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  20. Wirtz, C.; Witte, W.; Wolz, C.; Goerke, C. Transcription of the phage-encoded Panton–Valentine leukocidin of Staphylococcus aureus is dependent on the phage life-cycle and on the host background. Microbiology 2009, 155, 3491–3499. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  21. Ma, X.X.; Ito, T.; Kondo, Y.; Cho, M.; Yoshizawa, Y.; Kaneko, J.; Katai, A.; Higashiide, M.; Li, S.; Hiramatsu, K. Two Different Panton-Valentine Leukocidin Phage Lineages Predominate in Japan. J. Clin. Microbiol. 2008, 46, 3246–3258. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. van Wamel, W.J.B.; Rooijakkers, S.H.M.; Ruyken, M.; van Kessel, K.P.M.; van Strijp, J.A.G. The innate immune modulators staphylococcal complement inhibitor and chemotaxis inhibitory protein of Staphylococcus aureus are located on beta-hemolysin-converting bacteriophages. J. Bacteriol. 2006, 188, 1310–1315. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Kraushaar, B.; Hammerl, J.A.; Kienöl, M.; Heinig, M.L.; Sperling, N.; Dinh Thanh, M.; Reetz, J.; Jäckel, C.; Fetsch, A.; Hertwig, S. Acquisition of virulence factors in livestock-associated MRSA: Lysogenic conversion of CC398 strains by virulence gene-containing phages. Sci. Rep. 2017, 7, 2004. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Tang, Y.; Nielsen, L.N.; Hvitved, A.; Haaber, J.K.; Wirtz, C.; Andersen, P.S.; Larsen, J.; Wolz, C.; Ingmer, H. Commercial Biocides Induce Transfer of Prophage Φ13 from Human Strains of Staphylococcus aureus to Livestock CC398. Front. Microbiol. 2017, 8, 2418. [Google Scholar] [CrossRef] [Green Version]
  25. Borg, M.A.; de Kraker, M.; Scicluna, E.; van de Sande-Bruinsma, N.; Tiemersma, E.; Monen, J.; Grundmann, H. Prevalence of methicillin-resistant Staphylococcus aureus (MRSA) in invasive isolates from southern and eastern Mediterranean countries. J. Antimicrob. Chemother. 2007, 60, 1310–1315. [Google Scholar] [CrossRef] [Green Version]
  26. Falagas, M.E.; Karageorgopoulos, D.E.; Leptidis, J.; Korbila, I.P. MRSA in Africa: Filling the Global Map of Antimicrobial Resistance. PLoS ONE 2013, 8, e68024. [Google Scholar] [CrossRef] [Green Version]
  27. Abouelfetouh, A. The Status of Methicillin Resistance Among Egyptian Staphylococcus aureus Isolates: An Overview. Infect. Disord. Drug Targets 2017, 17, 67–69. [Google Scholar] [CrossRef]
  28. Mashaly, G.E.-S.; El-Mahdy, R.H. Vancomycin heteroresistance in coagulase negative Staphylococcus blood stream infections from patients of intensive care units in Mansoura University Hospitals, Egypt. Ann. Clin. Microbiol. Antimicrob. 2017, 16, 63. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Montelongo Hernandez, C.; Mores, C.R.; Putonti, C.; Wolfe, A.J.; Abouelfetouh, A. Phylogenomic study of Staphylococcus aureus and Staphylococcus haemolyticus isolates from Egypt. Microb. Genom. under review.
  30. Arndt, D.; Grant, J.R.; Marcu, A.; Sajed, T.; Pon, A.; Liang, Y.; Wishart, D.S. PHASTER: A better, faster version of the PHAST phage search tool. Nucleic Acids Res. 2016, 44, W16–W21. [Google Scholar] [CrossRef] [Green Version]
  31. Edgar, R.C. Search and clustering orders of magnitude faster than BLAST. Bioinformatics 2010, 26, 2460–2461. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Darling, A.E.; Mau, B.; Perna, N.T. ProgressiveMauve: Multiple genome alignment with gene gain, loss and rearrangement. PLoS ONE 2010, 5, e11147. [Google Scholar] [CrossRef] [Green Version]
  33. Katoh, K.; Standley, D.M. MAFFT multiple sequence alignment software version 7: Improvements in performance and usability. Mol. Biol. Evol. 2013, 30, 772–780. [Google Scholar] [CrossRef] [Green Version]
  34. Price, M.N.; Dehal, P.S.; Arkin, A.P. FastTree 2—Approximately Maximum-Likelihood Trees for Large Alignments. PLoS ONE 2010, 5, e9490. [Google Scholar] [CrossRef]
  35. Letunic, I.; Bork, P. Interactive Tree of Life (iTOL) v4: Recent updates and new developments. Nucleic Acids Res. 2019, 47, W256–W259. [Google Scholar] [CrossRef] [Green Version]
  36. Richter, M.; Rosselló-Móra, R.; Oliver Glöckner, F.; Peplies, J. JSpeciesWS: A web server for prokaryotic species circumscription based on pairwise genome comparison. Bioinformatics 2016, 32, 929–931. [Google Scholar] [CrossRef] [PubMed]
  37. Eren, A.M.; Esen, Ö.C.; Quince, C.; Vineis, J.H.; Morrison, H.G.; Sogin, M.L.; Delmont, T.O. Anvi’o: An advanced analysis and visualization platform for ’omics data. PeerJ 2015, 3, e1319. [Google Scholar] [CrossRef] [PubMed]
  38. Aziz, R.K.; Bartels, D.; Best, A.A.; DeJongh, M.; Disz, T.; Edwards, R.A.; Formsma, K.; Gerdes, S.; Glass, E.M.; Kubal, M.; et al. The RAST Server: Rapid annotations using subsystems technology. BMC Genom. 2008, 9, 75. [Google Scholar] [CrossRef] [Green Version]
  39. Zankari, E.; Hasman, H.; Cosentino, S.; Vestergaard, M.; Rasmussen, S.; Lund, O.; Aarestrup, F.M.; Larsen, M.V. Identification of acquired antimicrobial resistance genes. J. Antimicrob. Chemother. 2012, 67, 2640–2644. [Google Scholar] [CrossRef] [PubMed]
  40. Liu, B.; Zheng, D.; Jin, Q.; Chen, L.; Yang, J. VFDB 2019: A comparative pathogenomic platform with an interactive web interface. Nucleic Acids Res. 2019, 47, D687–D692. [Google Scholar] [CrossRef]
  41. Chang, Y.; Shin, H.; Lee, J.-H.; Park, C.J.; Paik, S.-Y.; Ryu, S. Isolation and genome characterization of the virulent Staphylococcus aureus bacteriophage SA97. Viruses 2015, 10, 5225–5242. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Shearer, J.E.S.; Wireman, J.; Hostetler, J.; Forberger, H.; Borman, J.; Gill, J.; Sanchez, S.; Mankin, A.; Lamarre, J.; Lindsay, J.A.; et al. Major families of multiresistant plasmids from geographically and epidemiologically diverse Staphylococci. G3 Genes Genomes Genet. 2011, 1, 581–591. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Ye, Z.H.; Lee, C.Y. Cloning, sequencing, and genetic characterization of regulatory genes, rinA and rinB, required for the activation of staphylococcal phage phi 11 int expression. J. Bacteriol. 1993, 175, 1095–1102. [Google Scholar] [CrossRef] [Green Version]
  44. Ferrer, M.D.; Quiles-Puchalt, N.; Harwich, M.D.; Tormo-Más, M.Á.; Campoy, S.; Barbé, J.; Lasa, I.; Novick, R.P.; Christie, G.E.; Penadés, J.R. RinA controls phage-mediated packaging and transfer of virulence genes in Gram-positive bacteria. Nucleic Acids Res 2011, 39, 5866–5878. [Google Scholar] [CrossRef]
  45. Oliveira, H.; Sampaio, M.; Melo, L.D.R.; Dias, O.; Pope, W.H.; Hatfull, G.F.; Azeredo, J. Staphylococci phages display vast genomic diversity and evolutionary relationships. BMC Genom. 2019, 20, 357. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Goerke, C.; Wirtz, C.; Flückiger, U.; Wolz, C. Extensive phage dynamics in Staphylococcus aureus contributes to adaptation to the human host during infection. Mol. Microbiol. 2006, 61, 1673–1685. [Google Scholar] [CrossRef]
  47. Frígols, B.; Quiles-Puchalt, N.; Mir-Sanchis, I.; Donderis, J.; Elena, S.F.; Buckling, A.; Novick, R.P.; Marina, A.; Penadés, J.R. Virus Satellites Drive Viral Evolution and Ecology. PLoS Genet. 2015, 11, e1005609. [Google Scholar] [CrossRef] [PubMed]
  48. Haaber, J.; Penadés, J.R.; Ingmer, H. Transfer of Antibiotic Resistance in Staphylococcus aureus. Trends Microbiol. 2017, 25, 893–905. [Google Scholar] [CrossRef]
  49. Brüssow, H.; Canchaya, C.; Hardt, W.-D. Phages and the Evolution of Bacterial Pathogens: From Genomic Rearrangements to Lysogenic Conversion. Microbiol. Mol. Biol. Rev. 2004, 68, 560–602. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  50. Senok, A.; Ehricht, R.; Monecke, S.; Al-Saedan, R.; Somily, A. Molecular characterization of methicillin-resistant Staphylococcus aureus in nosocomial infections in a tertiary-care facility: Emergence of new clonal complexes in Saudi Arabia. New Microbes New Infect. 2016, 14, 13–18. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  51. Khemiri, M.; Akrout Alhusain, A.; Abbassi, M.S.; El Ghaieb, H.; Santos Costa, S.; Belas, A.; Pomba, C.; Hammami, S. Clonal spread of methicillin-resistant Staphylococcus aureus-t6065—CC5-SCC mec V-agr II in a Libyan hospital. J. Glob. Antimicrob. Resist. 2017, 10, 101–105. [Google Scholar] [CrossRef] [PubMed]
  52. Kaneko, J.; Kamio, Y. Bacterial Two-component and Hetero-heptameric Pore-forming Cytolytic Toxins: Structures, Pore-forming Mechanism, and Organization of the Genes. Biosci. Biotechnol. Biochem. 2004, 68, 981–1003. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Boakes, E.; Kearns, A.M.; Ganner, M.; Perry, C.; Hill, R.L.; Ellington, M.J. Distinct Bacteriophages Encoding Panton-Valentine Leukocidin (PVL) among International Methicillin-Resistant Staphylococcus aureus Clones Harboring PVL. J. Clin. Microbiol. 2011, 49, 684–692. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Zhao, H.; Hu, F.; Jin, S.; Xu, X.; Zou, Y.; Ding, B.; He, C.; Gong, F.; Liu, Q. Typing of Panton-Valentine Leukocidin-Encoding Phages and lukSF-PV Gene Sequence Variation in Staphylococcus aureus from China. Front. Microbiol. 2016, 7. [Google Scholar] [CrossRef] [PubMed]
  55. Chen, L.; Chavda, K.D.; Solanki, M.; Mediavilla, J.R.; Mathema, B.; Schlievert, P.M.; Kreiswirth, B.N. Genetic Variation among Panton-Valentine Leukocidin-Encoding Bacteriophages in Staphylococcus aureus Clonal Complex 30 Strains. J. Clin. Microbiol. 2013, 51, 914–919. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Coombs, G.W.; Baines, S.L.; Howden, B.P.; Swenson, K.M.; O’Brien, F.G. Diversity of bacteriophages encoding Panton-Valentine leukocidin in temporally and geographically related Staphylococcus aureus. PLoS ONE 2020, 15, e0228676. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Prophage network of shared genes. Each node corresponds with a single predicted prophage sequence. The shape and color of the node represents the identified prophage cluster for the sequence. Two nodes are connected by an edge if they both share a common gene. The weight of the edge represents the number of common genes between two prophages.
Figure 1. Prophage network of shared genes. Each node corresponds with a single predicted prophage sequence. The shape and color of the node represents the identified prophage cluster for the sequence. Two nodes are connected by an edge if they both share a common gene. The weight of the edge represents the number of common genes between two prophages.
Viruses 13 00337 g001
Figure 2. Pangenome of Egyptian S. aureus prophages. Each ring in the graph represents an individual S. aureus prophage sequence, color coded according to the assigned prophage cluster. Each ray in the graph indicates the presence (darker coloration) or absence (lighter coloration) of a given homolog. The number of gene clusters (no. of CDS) and singleton genes (unique genes, i.e., no homologs within other prophage sequences) found within each prophage sequence are shown in the two bar charts.
Figure 2. Pangenome of Egyptian S. aureus prophages. Each ring in the graph represents an individual S. aureus prophage sequence, color coded according to the assigned prophage cluster. Each ray in the graph indicates the presence (darker coloration) or absence (lighter coloration) of a given homolog. The number of gene clusters (no. of CDS) and singleton genes (unique genes, i.e., no homologs within other prophage sequences) found within each prophage sequence are shown in the two bar charts.
Viruses 13 00337 g002
Figure 3. Integrase phylogenetic tree. Representative sequences of the 12 S. aureus integrase types (Sa1int–Sa12int) are also included in the tree, shown in bold. Sa1int, Sa2int, Sa3int, and Sa7int branches are colored blue, green, red, and purple, respectively. Virulence factors are indicated for the Egyptian S. aureus prophage sequences and the Sa1int, Sa2int, Sa3int, and Sa7int reference sequences.
Figure 3. Integrase phylogenetic tree. Representative sequences of the 12 S. aureus integrase types (Sa1int–Sa12int) are also included in the tree, shown in bold. Sa1int, Sa2int, Sa3int, and Sa7int branches are colored blue, green, red, and purple, respectively. Virulence factors are indicated for the Egyptian S. aureus prophage sequences and the Sa1int, Sa2int, Sa3int, and Sa7int reference sequences.
Viruses 13 00337 g003
Figure 4. Phylogenetic tree of the terminase large subunit amino acid sequences. Prophage clusters are indicated as are the predicted genera (Biseptimaviruses, Phietaviruses, and Triaviruses).
Figure 4. Phylogenetic tree of the terminase large subunit amino acid sequences. Prophage clusters are indicated as are the predicted genera (Biseptimaviruses, Phietaviruses, and Triaviruses).
Viruses 13 00337 g004
Table 1. Summary statistics of Egyptian S. aureus genomes and their prophages.
Table 1. Summary statistics of Egyptian S. aureus genomes and their prophages.
StudyNo. Strains with Intact ProphagesNo. Intact
Prophages
Average No.
Prophages/Strain
Max No.
Prophages/Strain
Medical Microbiology Laboratory at AMUH isolates (n = 56)45711.53
Other MRSA isolates from Egypt (n = 17)81623
Table 2. Prophage clusters amongst Egyptian S. aureus isolates.
Table 2. Prophage clusters amongst Egyptian S. aureus isolates.
Cluster IDCluster SizeANI Score Range (%)Predicted Genus
A1787.93–100Biseptimavirus
B873.29–100Phietavirus
C882.92–99.86Phietavirus
D1391.12–100Biseptimavirus
E1396.09–100Triavirus
F988.39–100 aTriavirus
G1077.01–100Phietavirus
H592.72–97.19Phietavirus
a Sequence divergence between phage_10 and phage_70 exceed the threshold for ANI calculations and their pairwise comparison is not included in the reported range.
Table 3. Virulence factors encoded by Egyptian S. aureus prophages.
Table 3. Virulence factors encoded by Egyptian S. aureus prophages.
VF ClassVirulence FactorsRelated GenesNo. Prophages
EnzymeSerine proteasesplA2
splB2
splC2
splD1
splE1
splF1
Staphylokinasesak30
Immune EvasionCHIPSchp1
SCINscn30
ToxinDelta hemolysinhld2
Enterotoxin Asea17
Enterotoxin Gseg1
Enterotoxin Isei1
Enterotoxin Yent1yent11
Enterotoxin Yent2yent21
Enterotoxin-like Kselk7
Enterotoxin-like Mselm1
Enterotoxin-like Nseln1
Enterotoxin-like Oselo1
Enterotoxin-like Pselp1
Enterotoxin-like Qselq7
Gamma hemolysinhlgA3
Leukotoxin DlukD3
Leukotoxin ElukE3
Panton-Valentine
leukocidin
lukF-PV11
lukS-PV11
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Ene, A.; Miller-Ensminger, T.; Mores, C.R.; Giannattasio-Ferraz, S.; Wolfe, A.J.; Abouelfetouh, A.; Putonti, C. Examination of Staphylococcus aureus Prophages Circulating in Egypt. Viruses 2021, 13, 337. https://doi.org/10.3390/v13020337

AMA Style

Ene A, Miller-Ensminger T, Mores CR, Giannattasio-Ferraz S, Wolfe AJ, Abouelfetouh A, Putonti C. Examination of Staphylococcus aureus Prophages Circulating in Egypt. Viruses. 2021; 13(2):337. https://doi.org/10.3390/v13020337

Chicago/Turabian Style

Ene, Adriana, Taylor Miller-Ensminger, Carine R. Mores, Silvia Giannattasio-Ferraz, Alan J. Wolfe, Alaa Abouelfetouh, and Catherine Putonti. 2021. "Examination of Staphylococcus aureus Prophages Circulating in Egypt" Viruses 13, no. 2: 337. https://doi.org/10.3390/v13020337

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop