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. 2023 Aug 28;12(9):e00510-23. doi: 10.1128/MRA.00510-23

Mycobacteriophage Rita: a cluster F1 phage discovered in North Easton, Massachusetts

Anna M Fakhri 1, Marcie H Warner 2, Joseph A DeGiorgis 3,4, Kathleen Cornely 1,
Editor: Catherine Putonti5
PMCID: PMC10508093  PMID: 37638726

ABSTRACT

Mycobacteriophage Rita infects Mycobacterium smegmatis mc2155 and was isolated from a soil sample collected in North Easton, Massachusetts. Assigned to cluster F1 based on sequence similarity to other phages in the same cluster, Rita has a 58,771 bp genome and encodes 104 genes. Rita is 98% similar to phage Bipolar.

KEYWORDS: bacteriophages, genome analysis

ANNOUNCEMENT

Mycobacteriophages have recently been utilized therapeutically against pathogenic and antibiotic-resistant mycobacteria (1, 2). Therefore, mycobacteriophage discovery is a crucial tool in the advancement of phage therapy (3, 4).

Rita was isolated from damp, peaty surface soil underneath an apple tree (Table 1), utilizing standard methods (5). The soil sample was washed in 7H9 liquid medium and filtered (0.22 µm pore size), and the filtrate was inoculated with Mycobacterium smegmatis mc2155. After overnight incubation with shaking at 37°C, the filtrate was plated in top agar with M. smegmatis to yield plaques of phage Rita. Rita, which was purified through five rounds of plating, forms clear plaques <1 mm in diameter. Rita exhibits siphovirus morphology as determined using negative-stain transmission electron microscopy (Fig. 1; Table 1). Phage DNA was isolated from a high-titer lysate by phenol:chloroform:isoamyl alcohol extraction (6) and sequenced at the Pittsburgh Bacteriophage Institute (Table 1). Reads were verified for accuracy using Consed v29.0 (7) and assembled using Newbler v2.9 (8). Rita’s genome is 58,771 bp in length with a 3′ single-stranded overhang and a GC content of 61.6%. Rita was assigned to subcluster F1 based on gene content similarity of >35% to F1 phages Bipolar (KM597530), Kenuha5 (MN369739), and SuperGrey (KX808131) in the Actinobacteriophage database (phagesDB) (9 - 12).

TABLE 1.

Sequencing, genome, and phage characteristics

Parameter Phage data
Soil sample characteristics
 Collection date 28 May 2021
 Collection location coordinates 42.051462N, 71.134382W
Phage particle characteristics
 Capsid size (nm) 72–75 (n = 6)
 Tail length (nm) 190–250 (n = 6)
Sequencing
 Sequencing instrument Illumina MiSeq v3 reagents
 Library prep kit NEB Ultra II Library Kit
 No. of reads 1,122,251
 Length of reads (bp) 150 base single end reads
 Shotgun coverage (×) 2,788
Phage genome characteristics
 Genome length (bp) 58,771
 3’ single-stranded overhang 10 bases (5′-CGGAAGGCGC-3′)
 GC content (%) 61.6%
 attP site (bp) 31,855–31,880

Fig 1.

Fig 1

Image of negative-stained (1% uranyl acetate) Rita taken by a JEOL 200 CX transmission electron microscope, identifying Rita as a siphovirus, with an icosahedral capsid 72–75 nm in diameter and a tail length of 190–250 nm (n = 6 particles).

The genome sequence was annotated using DNA Master v5.22.2 (13), Glimmer v3.02 (14), GeneMark v2.5 (15), and Starterator v1.1 (16) to determine start and end sites. tRNAscan-SE (17) and Aragorn (18) did not identify any tRNAs in the genome sequence. Protein-coding genes were assigned functions using data from the NCBI Conserved Domain Database (19), HHpred (20), TMHMM v2.0 (21), TOPCONS (22), and BLASTp v2.2.26 (23), as well as genome comparison to other phages in the F1 subcluster using Phamerator (24). Of the 104 protein-coding genes identified, 41 were assigned a function.

A variety of genes encoding phage structure and assembly functions are apparent in Rita which are found on the left half of the genome. These are followed by a lysis cassette consisting of lysin A, lysin B, and holin proteins. Genes encoding an immunity repressor (46) and tyrosine integrase (44) were identified, along with a phage attachment site (attP) at 31,855–31,880, indicating that Rita can potentially adopt a temperate lifestyle. The genome contains two Whib family transcription factors (58, 60), two helix-turn-helix DNA-binding domains (42, 61), and a DnaQ-like DNA polymerase III subunit (36).

Notably, Rita contains a histidine nucleotide triad-binding protein (Hint, 67) identified in only three other F cluster phages, though Hint proteins have been identified in other mycobacteriophage clusters as well as in Gordonia phages. Hint proteins are members of a superfamily consisting of hydrolases and nucleotidyl transferases (25). The histidine triad motif contains three conserved histidines as catalytic residues. Hint proteins in humans activate nucleoside antiviral and anticancer prodrugs (26), but the function of Hint proteins in phages is unknown. The ubiquity of Hint homologs suggests an essential cellular function.

ACKNOWLEDGMENTS

We acknowledge the HHMI SEA-PHAGES program and Graham F. Hatfull for their support. The genome was sequenced at the University of Pittsburgh Bacteriophage Institute by Rebecca A. Garlena and Daniel A. Russell.

Work by J.A.D. for electron microscopy was conducted at the Marine Biological Laboratory in Woods Hole, MA, and supported by the National Science Foundation EPSCoR Track II Cooperative Agreement (award number 1330406). A.M.F. was supported by the Walsh Fund and the Providence College Undergraduate Research Committee.

Contributor Information

Kathleen Cornely, Email: kcornely@providence.edu.

Catherine Putonti, Loyola University Chicago, Chicago, Illinois, USA .

DATA AVAILABILITY

The genome sequence accession number is OP068340, and the SRA accession number is SRX15605406.

REFERENCES

  • 1. Hatfull GF, Hendrix RW. 2011. Bacteriophages and their genomes. Curr Opin Virol 1:298–303. doi: 10.1016/j.coviro.2011.06.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Hatfull GF. 2012. The secret lives of mycobacteriophages. Adv Virus Res 82:179–288. doi: 10.1016/B978-0-12-394621-8.00015-7 [DOI] [PubMed] [Google Scholar]
  • 3. Nobrega FL, Costa AR, Kluskens LD, Azeredo J. 2015. Revisiting phage therapy: new applications for old resources. Trends Microbiol 23:185–191. doi: 10.1016/j.tim.2015.01.006 [DOI] [PubMed] [Google Scholar]
  • 4. Dedrick RM, Guerrero-Bustamante CA, Garlena RA, Russell DA, Ford K, Harris K, Gilmour KC, Soothill J, Jacobs-Sera D, Schooley RT, Hatfull GF, Spencer H. 2019. Engineered Bacteriophages for treatment of a patient with a disseminated drug-resistant Mycobacterium abscessus. Nat Med 25:730–733. doi: 10.1038/s41591-019-0437-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Poxleitner M, Pope W, Jacobs-Sera D, Sivanathan V, Hatfull G.. 2018. Phage discovery guide. Howard Hughes Medical Institute, Chevy Chase, MD. [Google Scholar]
  • 6. Spada S, Rudqvist N-P, Wennerberg E. 2020. Isolation of DNA from exosomes. Methods Enzymol 636:173–183. doi: 10.1016/bs.mie.2020.01.012 [DOI] [PubMed] [Google Scholar]
  • 7. Russell DA. 2018. Sequencing, assembling, and finishing complete bacteriophage genomes. Edited by Clokie M. R. J., Kropinski A. M., and Lavigne R.. Methods Mol Biol 1681:109–125. doi: 10.1007/978-1-4939-7343-9_9 [DOI] [PubMed] [Google Scholar]
  • 8. Margulies M, Egholm M, Altman WE, Attiya S, Bader JS, Bemben LA, Berka J, Braverman MS, Chen Y-J, Chen Z, Dewell SB, Du L, Fierro JM, Gomes XV, Godwin BC, He W, Helgesen S, Ho CH, Irzyk GP, Jando SC, Alenquer MLI, Jarvie TP, Jirage KB, Kim J-B, Knight JR, Lanza JR, Leamon JH, Lefkowitz SM, Lei M, Li J, Lohman KL, Lu H, Makhijani VB, McDade KE, McKenna MP, Myers EW, Nickerson E, Nobile JR, Plant R, Puc BP, Ronan MT, Roth GT, Sarkis GJ, Simons JF, Simpson JW, Srinivasan M, Tartaro KR, Tomasz A, Vogt KA, Volkmer GA, Wang SH, Wang Y, Weiner MP, Yu P, Begley RF, Rothberg JM. 2005. Genome sequencing in microfabricated high-density picolitre reactors. Nature 437:376–380. doi: 10.1038/nature03959 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Hatfull GF. 2014. Molecular genetics of mycobacteriophages. Microbiol Spectr 2:1–36. [PMC free article] [PubMed] [Google Scholar]
  • 10. Mavrich TN, Hatfull GF. 2017. Bacteriophage evolution differs by host, lifestyle, and genome. Nat Microbiol 2:17112. doi: 10.1038/nmicrobiol.2017.112 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Russell DA, Hatfull GF. 2017. PhagesDB: the actinobacteriophage database. Bioinformatics 33:784–786. doi: 10.1093/bioinformatics/btw711 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Pope WH, Mavrich TN, Garlena RA, Guerrero-Bustamante CA, Jacobs-Sera D, Montgomery MT, Russell DA, Warner MH, Hatfull GF, Science Education Alliance-Phage Hunters Advancing Genomics and Evolutionary Science (SEA-PHAGES) . 2017. Bacteriophages of Gordonia spp.display a spectrum of diversity and genetic relationships. mBio 8:e01069-17. doi: 10.1128/mBio.01069-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Pope WH, Jacobs-Sera D. 2018. Annotation of bacteriophage genome sequences using DNA master: an overview. Methods Mol Biol 1681:217–229. doi: 10.1007/978-1-4939-7343-9_16 [DOI] [PubMed] [Google Scholar]
  • 14. Delcher AL, Harmon D, Kasif S, White O, Salzberg SL. 1999. Improved microbial gene identification with GLIMMER. Nucleic Acids Res 27:4636–4641. doi: 10.1093/nar/27.23.4636 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Lukashin AV, Borodovsky M. 1998. GeneMark.hmm: new solutions for gene finding. Nucleic Acids Res 26:1107–1115. doi: 10.1093/nar/26.4.1107 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Pacey M. 2016. Starterator guide. University of Pittsburgh, Pittsburgh, PA. https://seaphages.org/media/docs/Starterator_Guide_2016.pdf. [Google Scholar]
  • 17. Lowe TM, Eddy SR. 1997. tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence. Nucleic Acids Res 25:955–964. doi: 10.1093/nar/25.5.955 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Laslett D, Canback B. 2004. ARAGORN, a program to detect tRNA genes and tmRNA genes in nucleotide sequences. Nucleic Acids Res 32:11–16. doi: 10.1093/nar/gkh152 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Derbyshire MK, Gonzales NR, Lu S, He J, Marchler GH, Wang Z, Marchler-Bauer A. 2015. Improving the consistency of domain annotation within the conserved domain database. Database (Oxford) 2015:bav012. doi: 10.1093/database/bav012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Söding J, Biegert A, Lupas AN. 2005. The HHpred interactive server for protein homology detection and structure prediction. Nucleic Acids Res 33:W244–8. doi: 10.1093/nar/gki408 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Möller S, Croning MD, Apweiler R. 2001. Evaluation of methods for the prediction of membrane spanning regions. Bioinformatics 17:646–653. doi: 10.1093/bioinformatics/17.7.646 [DOI] [PubMed] [Google Scholar]
  • 22. Tsirigos KD, Peters C, Shu N, Käll L, Elofsson A. 2015. The TOPCONS web server for consensus prediction of membrane protein topology and signal peptides. Nucleic Acids Res 43:W401–W407. doi: 10.1093/nar/gkv485 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. 1990. Basic local alignment search tool. J Mol Biol 215:403–410. doi: 10.1016/S0022-2836(05)80360-2 [DOI] [PubMed] [Google Scholar]
  • 24. Cresawn SG, Bogel M, Day N, Jacobs-Sera D, Hendrix RW, Hatfull GF. 2011. Phamerator: a bioinformatic tool for comparative bacteriophage genomics. BMC Bioinformatics 12:395. doi: 10.1186/1471-2105-12-395 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Brenner C, Bieganowski P, Pace HC, Huebner K. 1999. The histidine triad superfamily of nucleotide-binding proteins. J Cell Physiol 181:179–187. doi: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Maize KM, Shah R, Strom A, Kumarapperuma S, Zhou A, Wagner CR, Finzel BC. 2017. A crystal structure based guide to the design of human histidine triad nucleotide binding protein 1 (hHint1) activated ProTides. Mol Pharm 14:3987–3997. doi: 10.1021/acs.molpharmaceut.7b00664 [DOI] [PubMed] [Google Scholar]

Associated Data

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

Data Availability Statement

The genome sequence accession number is OP068340, and the SRA accession number is SRX15605406.


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