ABSTRACT
Bacteriophages play important roles in determining bacterial communities, including plant microbiota. Here, we describe four lytic phages, three Siphoviridae and one Podoviridae, isolated from four different bacterial species found on the leaves of horse chestnut trees. Their double-stranded DNA (dsDNA) genomes range from 39,095 to 46,062 bp and contain 51 to 70 genes.
ANNOUNCEMENT
To understand the roles bacteriophages play in the phyllosphere, phages found on the leaves of horse chestnut trees (Aesculus hippocastanum; Sapindaceae) in Angel and Greyhound Meadow, Oxford, UK, were isolated on bacterial strains, themselves isolated from these leaves (1–5). The bacterial isolates were assigned to a genus and, if possible, species based on sequencing of approximately 800 bp of the 16S rRNA region and the top BLAST hit associated with a sequence (E value, <10−10) (1). Here, we describe four of these phages, each isolated on a different bacterial species (Table 1).
TABLE 1.
Isolation and genome characteristics for phages AH01, AH02, AH03, and AH05a
| Phage name | Isolation host (median %GC) | Yr of isolation | No. of reads | Coverage (×) | Genome ends | Genome size (bp) | %GC | Protein genes (% with function) | BLASTn query results |
||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Best match (GenBank accession no.) | Coverage (%) | Identity (%) | |||||||||
| AH01 | Pantoea sp. (55.0) | 2014 | 498,698 | 1,624 | Headful packaging | 46,062 | 52.2 | 69 (40.6) | Salmonella phage St162 (MF158037.1) | 59 | 74.13 |
| AH02 | Pseudomonas koreensis (60.2) | 2014 | 339,084 | 1,301 | Circularly permuted | 39,095 | 54.9 | 70 (40.0) | Pseudomonas phage MR15 (MT104475.1) | 2 | 81.76 |
| AH03 | Erwinia billingiae (55.0) | 2011 | 492,469 | 1,684 | Headful packaging | 43,866 | 43.8 | 70 (47.1) | Pseudomonas phage Epa40 (MT118304.1) | 13 | 65.08 |
| AH05 | Pseudomonas syringae (58.8) | 2011 | 886,451 | 3,301 | Terminal repeats, 221 bp | 40,502 | 57.2 | 51 (54.9) | Pseudomonas phage FRS (MZ598487.1) | 95 | 94.72 |
The complete genome of each phage was queried with BLASTn against the nucleotide database (nt) restricted to phages (taxid: 10699, 10662, and 10744). For each search, the best match to a complete genome is reported including query coverage, % identity, and accession number.
Each phage was single-plaque purified at least three times on its isolation host and amplified by overnight culturing in 10 ml King’s broth and 100 μl of the host (1). The cultured lysate was filtered (pore size, 0.45 μm), and following the kit protocol for the Promega Wizard PCR Preps DNA purification system (no. 7170), phage DNA was extracted by the Koskella lab. At North Carolina State University’s Genomic Science Laboratory, libraries for each DNA sample were prepared following the protocol for the Illumina TruSeq Nano DNA library prep kit and sequenced on the Illumina MiSeq platform, using a v3 150 SE flow cell. Genome assembly was performed at Gettysburg College, using the GS v2.9 de novo assembler (6). For each phage, 150-bp reads were assembled into one contig with >1,000× coverage and the contig consensus quality was verified using Consed v29 (6, 7) (Table 1). The genome ends were determined using PAUSE and PhageTerm (8, 9) (Table 1). The finished sequences were imported into DNA Master v5.22.22 (10) to map and compare the open reading frames. Putative genes were called based on both Glimmer v3.0 and GeneMark v2.5 algorithms (11, 12). Putative functions of the gene products were predicted using BLAST v2.12 (13) and HHpred (14). For the BLASTp matches, an E value below 10−5 was required to assign a function. For the HHpred matches, a high probability (>85%), substantial coverage (>50%), and low E value (<10−5) were required. The presence of tRNA genes was determined through the Web-based program ARAGORN (15). Default settings were used in all programs.
These phages have double-stranded DNA (dsDNA) genomes ranging from 39,095 to 46,062 bp and containing 51 to 70 protein coding genes (Table 1). Three phages—AH01, AH02, and AH03—have a genome organization typical of Siphoviridae, with structural genes showing a conserved order (16). Their assignment to this family is supported by BLASTn matches to Siphoviridae phages but with varying query coverage (Table 1). The best matches for AH02 and AH03 have low coverage; these two phages are substantially different from previously sequenced phages. Pseudomonas phage AH05 shows nucleotide similarity to Podoviridae Pseudomonas phages (Table 1). The GC contents of AH01, AH02, and AH05 are comparable to, if somewhat lower than, that of their isolation host (Table 1). In contrast, AH03 has a much lower GC content than its isolation host and also contains a tRNA gene for serine (anticodon gcu). Three other phage isolates—from two different leaves on the same tree and from a leaf on a second tree—were sequenced following the above protocols and determined to be identical to AH03.
Data availability.
The genome sequences and associated information can be found under BioProject accession no. PRJNA754193 and GenBank/SRA accession no. MZ501269/SRX11736852 (AH01), MZ501271/SRX11736853 (AH02), MZ501266/SRX11736854 (AH03), and MZ501272/SRX11736856 (AH05).
ACKNOWLEDGMENTS
This research was supported by research and professional development grants from Gettysburg College to V.A.D.
We thank the SEA-PHAGES program, especially Graham Hatfull, Welkin Pope, Dan Russell, and Debbie Jacobs-Sera, for training in genome annotation and answering all our phage questions. We thank Britt Koskella for providing us with phage DNA to sequence and the opportunity to learn more about the phyllosphere.
Contributor Information
Véronique A. Delesalle, Email: delesall@gettysburg.edu.
Kenneth M. Stedman, Portland State University
REFERENCES
- 1.Koskella B, Thompson JN, Preston GM, Buckling A. 2011. Local biotic environment shapes the spatial scale of bacteriophage adaptation to bacteria. Am Nat 177:440–451. doi: 10.1086/658991. [DOI] [PubMed] [Google Scholar]
- 2.Koskella B. 2013. Phage-mediated selection on microbiota of a long-lived host. Curr Biol 23:1256–1260. doi: 10.1016/j.cub.2013.05.038. [DOI] [PubMed] [Google Scholar]
- 3.Koskella B, Parr N. 2015. The evolution of bacterial resistance against bacteriophages in the horse chestnut phyllosphere is general across both space and time. Philos Trans R Soc B 370:20140297. doi: 10.1098/rstb.2014.0297. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Koskella B, Meaden S. 2013. Understanding bacteriophage specificity in natural microbial communities. Viruses 5:806–823. doi: 10.3390/v5030806. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Morella NM, Gomez AL, Wang G, Leung MS, Koskella B. 2018. The impact of bacteriophages on phyllosphere bacterial abundance and composition. Mol Ecol 27:2025–2038. doi: 10.1111/mec.14542. [DOI] [PubMed] [Google Scholar]
- 6.Russell DA. 2018. Sequencing, assembling, and finishing complete bacteriophage genomes. Methods Mol Biol 1681:109–135. doi: 10.1007/978-1-4939-7343-9_9. [DOI] [PubMed] [Google Scholar]
- 7.Gordon D, Green P. 2013. Consed: a graphical editor for next-generation sequencing. Bioinformatics 29:2936–2937. doi: 10.1093/bioinformatics/btt515. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Center for Phage Technology. 2016. Pause3. https://cpt.tamu.edu/analysis-with-pause3-2016-edition/. Accessed 1 July 2019.
- 9.Garneau JR, Depardieu F, Fortier LC, Bikard D, Monot M. 2017. PhageTerm: a tool for fast and accurate determination of phage termini and packaging mechanism using next-generation sequencing data. Sci Rep 7:8292. doi: 10.1038/s41598-017-07910-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.DNA Master. http://cobamide2.bio.pitt.edu/computer.htm. Accessed 1 July 2019.
- 11.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]
- 12.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]
- 13.Boratyn GM, Schäffer AA, Agarwala R, Altschul SF, Lipman DJ, Madden TL. 2012. Domain enhanced lookup time accelerated BLAST. Biol Direct 7:12. doi: 10.1186/1745-6150-7-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Söding J, Biegert A, Lupas AN. 2005. The HHpred interactive server for protein homology detection and structure prediction. Nucleic Acids Res 33:244–248. doi: 10.1093/nar/gki408. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.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]
- 16.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]
Associated Data
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Data Availability Statement
The genome sequences and associated information can be found under BioProject accession no. PRJNA754193 and GenBank/SRA accession no. MZ501269/SRX11736852 (AH01), MZ501271/SRX11736853 (AH02), MZ501266/SRX11736854 (AH03), and MZ501272/SRX11736856 (AH05).
