Bacterial canker is a major disease of Prunus species, such as cherry (Prunus avium). It is caused by Pseudomonas syringae pathovars, including P. syringae pv. syringae (Pss) and P. syringae pv. morsprunorum race 1 (Psm1) and race 2 (Psm2). Concerns over the environmental impact of, and the development of bacterial resistance to, traditional copper controls calls for new approaches to disease management. Bacteriophage-based biocontrol could provide a sustainable and natural alternative approach to combat bacterial pathogens. Therefore, seventy phages were isolated from soil, leaf and bark of cherry trees in six locations in the south east of England. Subsequently, their host range was assessed against strains of Pss, Psm1 and Psm2. While these phages lysed different Pss, Psm and some other P. syringae pathovar isolates, they did not infect beneficial bacteria such as Pseudomonas fluorescens. A subset of thirteen phages were further characterized by genome sequencing, revealing five distinct clades in which the phages could be clustered. No known toxins or lysogeny-associated genes could be identified. Using bioassays, selected phages could effectively reduce disease progression in vivo, both individually and in cocktails, reinforcing their potential as biocontrol agents in agriculture.
Bacterial canker is a major disease of Prunus species, such as cherry (Prunus avium). It is caused by Pseudomonas syringae pathovars, including P. syringae pv. syringae (Pss) and P. syringae pv. morsprunorum race 1 (Psm1) and race 2 (Psm2). Concerns over the environmental impact of, and the development of bacterial resistance to, traditional copper controls calls for new approaches to disease management. Bacteriophage-based biocontrol could provide a sustainable and natural alternative approach to combat bacterial pathogens. Therefore, seventy phages were isolated from soil, leaf and bark of cherry trees in six locations in the south east of England. Subsequently, their host range was assessed against strains of Pss, Psm1 and Psm2. While these phages lysed different Pss, Psm and some other P. syringae pathovar isolates, they did not infect beneficial bacteria such as Pseudomonas fluorescens. A subset of thirteen phages were further characterized by genome sequencing, revealing five distinct clades in which the phages could be clustered. No known toxins or lysogeny-associated genes could be identified. Using bioassays, selected phages could effectively reduce disease progression in vivo, both individually and in cocktails, reinforcing their potential as biocontrol agents in agriculture.
Pseudomonas syringae is a species complex of bacterial plant pathogens that infects over 180 plant species. Many globally important crops fall within the host range of P. syringae, making the pathogen one of the most economically destructive (Xin et al., 2018). Prunus species, including cherry (Prunus avium), are highly susceptible to P. syringae, with infection leading to bacterial canker and devastating impacts on commercial fruit production (Hinrichs‐Berger, 2004; Hulin et al., 2018a,b). Fruits, leaves and blossoms are susceptible all year. Infection often occurs through leaf scars and wounds in the winter, with symptoms of canker not becoming visible until spring. Large dark wounds appear on the trunk and branches of infected trees, discharging large volumes of gummy sap. Leaves also take on a shot‐hole appearance, with the tree's growth compromised, eventually leading to plant death (Hulin et al., 2018a,b). Prunus species are infected by the P. syringae pathovars syringae and morsprunorum (Hulin et al., 2018a,b). To date, three pathovars of P. syringae have been identified as the main causal agents in bacterial canker of cherry: P. syringae pv. syringae (Pss), P. syringae pv. morsprunorum race 1 (Psm1) and P. syringae pv. morsprunorum race 2 (Psm2; Hulin et al., 2018a,b). Pss has the broadest host range, infecting numerous species of plant, whereas both races of pv. morsprunorum are highly specific to Prunus species (Bultreys and Kałużna, 2010). Psm1 and Psm2 were initially thought to be closely related, based on morphology and virulence towards Prunus, though it has since been found that these two pathovars are only distantly related within the P. syringae species complex (Freigoun and Crosse, 1975; Hulin et al., 2018a,b).Bacterial canker of Prunus is a difficult disease to control due to high rates of mutation, horizontal gene transfer and species‐specific variability (Jones et al., 2007). No specific chemical controls have currently been developed, and resistance to generic chemical controls can emerge and spread rapidly through populations (Stone and Baker, 2010). Traditional methods for the control of bacterial canker of Prunus, such as copper‐based bactericides, are increasingly less popular as bacteria develop copper resistance and the environmental damage of copper accumulation has become apparent (Sundin and Bender, 1993; Jones et al., 2007). As such, their use is restricted across Europe (Stone and Baker, 2010). Breeding for resistance is one alternative potential route to control the disease but has proved to be challenging and complex as it may need screening for all three pathogens (Farhadfar et al., 2016; Hulin et al., 2018a,b). Also, the pathogens are varied in aggressiveness and therefore may trigger differing host resistance mechanisms in cherry (Hulin et al., 2018a,b).One potential alternative to control bacterial diseases is through bacteriophage biocontrol. Bacteriophages (phages) are viruses that infect bacteria, using the bacterium's metabolism to complete their replication, resulting in the lysis of their bacterial host, without directly causing harm to plants or animals. Phages are one of the most abundant types of organisms in the biosphere and are almost always highly specific to their target bacterial host. The potential of phage against Pseudomonas syringae pathovars actinidiae and aesculi have been explored as potential biocontrol agents (Di Lallo et al., 2014; James, 2015). The high degree of host specificity, the lytic life cycle, the ability to persist and proliferate in the environment makes bacteriophage potential candidates for the treatment of bacterial infections in both humans and plants (Buttimer et al., 2017). The use of phage as biological control agents requires knowledge of the host specificity and an understanding of the way in which the host bacterium and phage interact, tailored towards a specific pathogen. Here, we isolated, identified and characterized phages that can infect Pss, Psm1 and Psm2. The efficacy of the phage, both individually and in cocktails, to reduce disease progression in vivo were investigated to understand the potential for practical use of these phages as biocontrol agents.
Results
A large variety of phages were isolated from cherry tree leaves, bark and soil samples
To obtain a range of phage isolates, sampling was done at six different geographical sites. A total of 60 trees were sampled for testing, taking leaves and soils from all sites. Bark was only sampled from 20 trees in the NIAB EMR cherry trial orchard, but not from commercial cherry trees, due to restrictions. All 60 samples (60 soil, 60 leaf and 20 bark samples) were processed to obtain suspensions, which were plated onto bacterial lawns of Pss, Psm1 and Psm2 for the production of plaques. In total, 70 phage isolates were obtained (Table S1), 60 from all 60 soil samples, one from the leaf samples and nine from the bark samples. 45% of the phages were collected from the commercial cherry orchard, 26% from the NIAB EMR trial plots, 16% from the old cherry orchard in Sittingbourne, 7% from the old cherry orchard in Milstead, 4% from the Brogdale National Fruit Collection and 2% from the young cherry orchard in Milstead. All phages produced clear plaques and plaque sizes varied from less than 1–10 mm in diameter with 57% being large (8–10 mm), 22% medium (5–7 mm), 20% small (2–4 mm) and 1% very small (< 2 mm; Table S1).
Host range enabled a first microbiological selection of relevant phage
For use of phage in biocontrol, host specificity of the phage is an important factor to consider. To test the host range of the phage isolates, a range of different bacteria were tested for susceptibility. The phage exhibited a differential ability to infect and lyse different Pss and Psm isolates as well as other pathogenic Pseudomonas syringae pathovars including P. syringae pv. tomato DC3000, P. syringae pv. lachrymans 789 and P. cichorii 907. However, the phages were unable to infect beneficial bacteria such as Pseudomonas fluorescens ATCC 17400, P. fluorescens F113, P. poae PpR24, P. fluorescens PFR37, P. putida PaW340, P. fluorescens Pf‐5, P. fluorescens Pf‐01, P. fluorescens WCS 365 (Table 1).
Table 1
Host range analysis of 18 phages isolated from soil, leaf and bark of Prunus avium.
Phage name
Sample type
Phage size
Family
PSS (9097)
PSM1 (5244)
PSM2 (5255)
Pss 9293
Pss 9630
Pss 9644
Pss 9654
Pss 9659
Psm1 5300
Psm1 9326
Psm1 9629
Psm1 9646
Psm1 9657
Psm2 5260
Psm2 sc214
Psm2 PSMR2 leaf
Psm2 9095
Ps 9654
Ps 9643
P. s. tomato DC3000
P. s. lachrymans 789
P. cichoriri 907
MR1
Soil/aD
Large
Podoviridae
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
MR2
Soil
Large
Podoviridae
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
MR3
Soil
Medium
Podoviridae
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
MR4
Soil
Medium
Podoviridae
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
MR5
Soil
Large
Podoviridae
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
MR6
Soil
Large
Podoviridae
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
MR7
Soil
Large
Podoviridae
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
MR8
Bark
small
Podoviridae
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
MR9
Soil
large
Podoviridae
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
MR10
Soil
large
Podoviridae
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
MR11
Soil
large
Podoviridae
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
MR12
Leaf
Large
Podoviridae
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
MR13
Soil
Small
Siphoviridae
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
MR14
Soil
Small
Myoviridae
✓
✓
✓
✓
✓
✓
✓
MR15
Soil
Medium
Siphoviridae
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
MR16
Soil
Medium
Podoviridae
✓
✓
✓
✓
✓
✓
✓
✓
MR17
Soil
Large
Podoviridae
✓
✓
✓
✓
MR18
Soil
Small
Podoviridae
✓
✓
✓
✓
✓
Pss, Pseudomonas syringae pv. syringae; Psm, P. syringae pv. morsprunorum; Ps, Pseudomonas syringae. Pss 9097, Psm1 5244 and Psm2 5255 were used as bacterial hosts to isolate phage from environmental samples. 13 highlighted phages were selected for further study. Phage size: Large (8–10 mm), medium (5–7 mm) and small (2–4 mm).
Phage MR1 was collected from a disease (D) tree.
Host range analysis of 18 phages isolated from soil, leaf and bark of Prunus avium.Pss, Pseudomonas syringae pv. syringae; Psm, P. syringae pv. morsprunorum; Ps, Pseudomonas syringae. Pss 9097, Psm1 5244 and Psm2 5255 were used as bacterial hosts to isolate phage from environmental samples. 13 highlighted phages were selected for further study. Phage size: Large (8–10 mm), medium (5–7 mm) and small (2–4 mm).Phage MR1 was collected from a disease (D) tree.A subset of 18 of the phages were selected based on their complementary host range and further characterized. Transmission Electron Microscopy was employed to image the morphology of the phage and estimate their size (Fig. 1). All 18 phages exhibited typical head and tail morphologies associated with the order of the Caudovirales. Most phages were podoviruses, while phage MR14 was a myovirus and phages MR13 and MR15 showed a siphovirus morphology.
Fig. 1
Morphology of phage MR2, MR14 and MR15 determined by Transmission Electron Microscopy (TEM). These phages belong to Podoviridae, Myoviridae and Siphoviridae respectively.
Morphology of phage MR2, MR14 and MR15 determined by Transmission Electron Microscopy (TEM). These phages belong to Podoviridae, Myoviridae and Siphoviridae respectively.RAPD‐PCR was used to ascertain the level of genetic diversity, to compare banding patterns for all 18 phages and to subselect most diverse phages. Phage DNA was extracted, and amplicons generated using a single decamer primer, P1, which binds within the phage genome and amplifies random regions. The fragments were then separated by size using gel electrophoresis, producing distinctive band patterns that could be used to compare the different phage (Fig. S1). Banding patterns were unique for most phage samples. Based on RAPD‐PCR banding patterns, 13 phages showing maximum variation were chosen for further study (Table 1).
Killing curves of relevant Pss strains indicated a high efficacy of the selected phages
To examine the dynamics of phage virulence, killing curves were generated by infecting exponentially growing cultures of Pss, Psm1 and Psm2 for the 13 individual phages and two phage cocktails, at different multiplicity of infections (MOI; Fig. 2 and Fig. S2). The optical density of the bacterial cultures alone at 600 nm reached 0.7 over the 19 h period. All phage tested were effective at reducing the OD of the bacterial host, but there were diverse differences in the dynamics of bacterial killing by different groups of phages. In all cases, in the presence of the phage, bacterial OD decreased almost immediately. Some phages (MR6, MR7, MR15, MR16 and MR18) caused a particularly rapid decrease in the bacterial population. In all cases, including the use of the two cocktails, increases in OD were observed after 15–19 h in the broth cultures, suggesting the emergence of resistant bacteria within the population.
Fig. 2
In vitro killing curve displaying the effect of two phages used in this study on Pseudomonas syringae pv. syringae (Pss) population growth. To ease visualization, each individual killing curve is shown at different multiplicity of infection (MOI) of 10, 1, 0.1 and 0.01, against the bacteria‐only control. The bacteria‐only control is the same in every graph. Values are average of two replicates.
In vitro killing curve displaying the effect of two phages used in this study on Pseudomonas syringae pv. syringae (Pss) population growth. To ease visualization, each individual killing curve is shown at different multiplicity of infection (MOI) of 10, 1, 0.1 and 0.01, against the bacteria‐only control. The bacteria‐only control is the same in every graph. Values are average of two replicates.Different concentrations of phage were observed to have different effects on the bacterial populations. The higher the titre of the phage, the greater their ability to decrease the growth of the bacterial host and in less time. The lowest titres were consistently slower at reducing OD levels. However, phages MR13 and MR14 displayed a modest killing effect with the two lowest MOI while the two highest MOI exhibited delayed killing effects. The phage that appeared most effective over time, with less resistance emerging, were MR15, MR16 and MR18. At high titre (MOI 10 and MOI 1), phage MR13 and MR14 reduced bacterial OD effectively, with the emergence of resistance (an increase in broth optical density) appearing after 19 h. Bacterial resistance to all the phages (except MR13, MR14, MR15 and MR18) was observed in each bacterial host population at higher titres (MOI 10 and MOI 1) after around 15 h of incubation. However, despite the growth, the bacterial OD was considerably lower (0.2–0.3) compared to the bacteria alone control (OD 0.7) at 19 h. At the highest titre (MOI 10), the bacterial host populations developed resistance to both cocktails after around 15 h. However, at lower titres (MOI 1, 0.1 and 0.01), low levels of bacterial resistance only emerged at around 19 h.
Assessing the temperature sensitivity of the phage collection
A key consideration for phage use in biocontrol is storage and efficacy after storage. To this end, we investigated the effect of temperature on the viability, and thus stability, of the 13 phages in collection (Fig. 3 and Fig. S3). This was tested by storing the phage in phage buffer at different temperatures for eight weeks and performing plaque assays using different dilution series each week. This was then repeated after six months. The phages were stable in phage buffer at all temperatures, but at 37°C, the phage viability was reduced by about tenfold after week six and almost all phages lost their viability after six months stored in this temperature. The results showed that all phages were stable and viable at −20°C (P < 0.0001), 4°C (P: 0.02) and 20°C (P < 0.0001) after six months. However, −20°C remains the best temperature to store the phages, as not only did they maintain their concentration and viability after 6 months, but they also produced clear plaques with no bacterial resistance emerging. Phage MR1, MR2 and MR7 (P < 0.0001) were the most stable at 20°C. The lower the titre of the phage at the start, the less they lost their viability over time. Phage MR1, MR8, MR13 and MR16 starting titre was 104 pfu per ml. These phages lost their titre by almost tenfold by 6 months compared to other phages where the starting titre was 105–106 pfu per ml. The higher titre phage reduced almost 100‐fold after six months.
Fig. 3
Temperature stability of two phages used in this study. Each value is a mean of nine replicates, and error bars represent the standard error of the mean (df: 1168, s.e.d: 0.2 (phage*temperature*time)).
Temperature stability of two phages used in this study. Each value is a mean of nine replicates, and error bars represent the standard error of the mean (df: 1168, s.e.d: 0.2 (phage*temperature*time)).Phage MR4, MR5, MR6 and MR12 (P < 0.0001) were the optimal phages in terms of survival and viability at all temperatures, with phage MR5 (P: 0.0004), MR7 (P < 0.0001), MR8 (P: 0.0002) and MR12 (P: 0.03) being the only viable phages at 27°C after 6 months. The larger the phage plaque size, the better they survived at different temperatures. Small plaque size phages (MR8, MR13 and MR14) lost their viability faster compared to the large and medium plaque size phages.
Phage genome sequencing revealed specific phage clades and allowed further selection based on absence of virulence and lysogeny‐associated phage genes
To further differentiate between all 13 phages and investigate how closely they are related, genomic DNA was extracted and genome sequencing was performed. The genomes were sequenced ranging between 39 074 bp and 51 347 bp (Table 2). ORFs were identified, and similarity at the protein level was verified by sequence similarity analysis. Where we found more than 65% nucleotide sequence similarity to other existing phage within the database, we used that genome as a reference for annotation. BLASTn comparison of the 13 phages based on their genome sequences confirms the subdivision of the phages into five distinct phage clades (Table 2, Fig. 4).
Table 2
Whole genome sequence characteristics of 13 phages used in this study.
Phage
GenBank accession number
Genome length (bp)
%G + C
Terminators
ORFs
Bacterial host
MR1
MT104465
39 033
56.2
7
82
Pss strain 9097
MR2
MT104466
40 986
57.6
11
139
Pss strain 9097
MR4
MT104467
44 816
45.7
11
101
Pss strain 9097
MR5
MT104468
41 314
57.6
6
130
Pss strain 9097
MR6
MT104469
41 300
57.6
6
129
Pss strain 9097
MR7
MT104470
41 705
57.5
6
118
Pss strain 9097
MR8
MT104471
41 371
57.5
4
107
Pss strain 9097
MR12
MT104472
41 368
57.5
4
109
Pss strain 9097
MR13
MT104473
47 456
57.9
27
159
Psm1 strain 5244
MR14
MT104474
46 593
58.7
17
132
Psm1 strain 5244
MR15
MT104475
51 347
58.1
28
163
Psm1 strain 5244
MR16
MT104476
42 767
57.6
5
128
Pss strain 9097
MR18
MT104477
41 420
57.5
6
128
Pss strain 9097
Fig. 4
BLASTn comparison of 13 phages using Easyfig (Sullivan et al., 2011). The comparison was performed with BLAST 2.2.28, and the regions of similarity greater than 70% are shown by green shading.
A. Phage MR1 and MR2 aligned with reference genome Pseudomonas phage PPPL‐1.
B. Phage MR4 aligned with reference genome Escherichia phage ECBP5.
C. Phage MR5, MR6, MR7, MR8, MR12, MR16, MR18.
D. Phage MR14.
E. Phage MR13 and MR15 aligned with reference genome Pseudomonas phage phiPSA1.
Whole genome sequence characteristics of 13 phages used in this study.BLASTn comparison of 13 phages using Easyfig (Sullivan et al., 2011). The comparison was performed with BLAST 2.2.28, and the regions of similarity greater than 70% are shown by green shading.A. Phage MR1 and MR2 aligned with reference genome Pseudomonas phage PPPL‐1.B. Phage MR4 aligned with reference genome Escherichia phage ECBP5.C. PhageMR5, MR6, MR7, MR8, MR12, MR16, MR18.D. Phage MR14.E. Phage MR13 and MR15 aligned with reference genome Pseudomonas phage phiPSA1.Phage MR1 and MR2 had 90% similarity to Pseudomonas phage PPPL‐1 (accession number: NC_028661). Phage PPPL‐1, a podovirus, has a lytic activity against Pseudomonas syringae pv. actinidiae, the causal agent of kiwifruit bacterial canker. Phage MR4 had 89% homology to Escherichia phage ECBP5 (accession number: NC_027330). Phage ECBP5 belongs to the Podoviridae, which infects avian pathogenic Escherichia coli (APEC). Phage MR5, MR6, MR7, MR8, MR12, MR16 and MR18 had genome wide homology between each other, but only less than 50% similarity to Pseudomonas phage phi‐2 (accession number: NC_013638). Therefore, these seven phages can be considered as a novel species based on current ICTV guidelines (Adriaenssens and Brister, 2017). Phage phi‐2 (accession number: FN594518) belongs to the Podoviridae family and infects Pseudomonas fluorescens SBW25. Phage MR14 had only 2% sequence similarity to Yersinia phage fEV‐1 (accession number: LT992259) and was also considered a novel phage. Phage MR13 and MR15 had 65% similarity to Pseudomonas phage phiPSA1 (accession number: NC_024365). Phage phiPSA1, a member of the Siphoviridae family, is a temperate phage, infecting P. syringae pv. actinidiae.All isolated podoviruses encoded a DNA and RNA polymerase, primase, ligase, endo‐ and exo‐nuclease, collar and head‐tail connector, structural, capsid and tubular protein, internal virion protein and terminase. No toxin genes and bacterial virulence genes were discovered in the phage genomes, which supports their suitability for phage biocontrol. No genes related to lysogeny were discovered in the phage genomes, except for phage MR13 and MR15. These two phages had the Cro/Cl family transcriptional regulator. The Cro repressor turns off early gene transcription during the lytic cycle and CI repressor is required to maintain lysogenic growth (Ohlendorf et al., 1998). Both phages had one tRNA, with predicted proteins for a phage integrase as well as a putative repressor. The presence of these genes confirms that these two phages are probably temperate phage. Genome sequences of all phages were submitted to the GenBank database, and the accession numbers are provided in Table 2.The genome sequence confirms the TEM results that all 13 phages belong to the Caudovirales order, with typical head and tail structure observed for myo‐, podo‐ and siphoviruses.
Bacterial resistance development allowed assessment of cross‐resistance between phages
A bacterium can develop resistance to a phage due to different mechanisms. Therefore, understanding phage resistance is an important factor when choosing a phage as a biocontrol agent. This was tested by isolating spontaneous bacteriophage‐insensitive mutants (BIMs) of Pss for all 13 phages used in this study. Phage and bacteria were plated at MOI 1, and after 48 h of incubation at 27°C, emerging colonies were counted and about four colonies were cultured and streaked to single colonies at least twice to ensure that a single clonal isolate was selected and to remove any phage particles. The Pss BIMs frequency was observed as follows: phage MR1 and MR2, MR4, MR7 and MR18 (2 × 10−7), MR5 (3 × 10−7), MR8 (7 × 10−7), MR12 and MR13 (3 × 10−7), MR14 (3 × 10−7), MR15, MR16 and cocktail7 (1.5 × 10−6), and cocktail13 (8 × 10−7). To validate the identity of the BIMs and exclude the possibility of contaminations, at least one BIM for each phage was analysed with the rep‐PCR. The resulting BIMs banding patterns were compared to the original Pss, with all the BIMs appearing identical to the wild‐type Pss (Fig. S4). A second plaque assay was performed to examine if each wild‐type phage was able to lyse its corresponding BIM, using a single purified BIM isolate. Only phage MR7 (9 × 10−2 pfu ml−1), MR12 (5 × 10−3 pfu ml−1) and MR13 (3 × 10−3 pfu ml−1) were able to lyse their corresponding BIMs, however, with lower efficiency.All 13 phages were tested against each BIM to examine whether cross‐resistance occurred (e.g. BIM1, generated after co‐incubation with phage MR1 was tested against the other 12 phages and both phage cocktails). Some bacteria have developed resistance not only to the phage that generated them but also to other phages. All phages were able to lyse the resistant bacteria generated using phage MR7, MR12 and MR13.All the BIMs were tested for the spontaneous release of phage particles, and no plaque was observed suggesting there was no induction of lysogens although this does not preclude the possibility that phage progeny could be produced under the conditions used. All 13 phages isolated in this study produced clear plaques, which might indicate their lytic lifecycle, even though phage MR13 and MR15 that could potentially be temperate phages based on their genome sequences.
In planta bioassay proved the phage‐biocontrol cocktail significantly reduces bacterial infections
Another essential consideration for phage use in biocontrol is to examine their infectivity in planta. To test if the phages were effective in a model system, an established bean infection system was used. In vivo inoculations of bean plants were performed to investigate whether the phages were capable of reducing Pss populations in a plant environment. Bean leaves were sprayed with Pss strain 9097 at the concentration of 108 cfu ml−1 either alone (control) or with phage at 106 pfu ml−1. All 13 phages alone and both cocktails were used, and treatments were replicated five times. Leaves were collected at 0 h after inoculation and then every 24 h for 5 days, and the number of bacterial colonies was counted. At time zero (essentially 1 h from spraying to sampling and plating), phage presence in many cases instantly reduced the Pss population by at least 15%–40%. Phage MR6 (P: 0.0001) and MR7 (P < 0.0001) reduced the cfu per ml of the bacterial population by 50%, by the end of the experiment, compared to the non‐phage treated leaves (Fig. 5). The cocktail of all 13 phages (P < 0.0001) and cocktail7 (P < 0.0001) reduced the Pss population cfu ml−1 15% throughout the experiments. There was a reduction of 20% in cfu per ml of bacteria for phage MR1 (P: 0.0001), MR4 (P: 0.0001), MR8 (P: 0.05), MR12 (P: 0.0004), MR13 (P: 0.06), MR15 (P: 0.003), MR16 (P: 0.005) and MR18 (P: 0.002) compared to the control by 96 h after inoculation. Phage MR2 and MR5 caused a 10%–30% reduction in cfu per ml of bacteria by 48 h after inoculation, but no reduction, thereafter, compared to the control.
Fig. 5
Population dynamics of P. syringae pv. syringae (Pss) on bean leaves with and without phage treatments with single phage and two cocktails.
A. Control (Pss), MR1, MR2, MR4, MR5, MR6, MR7, MR.
B. Control (Pss), MR13, MR14, MR15, MR16, MR18.
C. Control (Pss), Cocktail13 and Cocktail7. Cocktail13 consists of all 13 phages and cocktail7 consists of MR4, MR6, MR8, MR13, MR14, MR15, MR16. Each value is a mean of nine replicates, and error bars represent the standard error of the mean (df: 1358, s.e.d: 0.4, phage*time). The bacteria‐only control (Pss) is the same in all graphs.
Population dynamics of P. syringae pv. syringae (Pss) on bean leaves with and without phage treatments with single phage and two cocktails.A. Control (Pss), MR1, MR2, MR4, MR5, MR6, MR7, MR.B. Control (Pss), MR13, MR14, MR15, MR16, MR18.C. Control (Pss), Cocktail13 and Cocktail7. Cocktail13 consists of all 13 phages and cocktail7 consists of MR4, MR6, MR8, MR13, MR14, MR15, MR16. Each value is a mean of nine replicates, and error bars represent the standard error of the mean (df: 1358, s.e.d: 0.4, phage*time). The bacteria‐only control (Pss) is the same in all graphs.Given the simple model system appeared to provide useful insights to the effects of the phages, the approach was then trialled with cherry. Cherry leaves were sprayed with Pss strain 9097, Psm1 strain 5244 and Psm2 strain 5255 at the concentration of 108 cfu ml−1 either alone (control) or with phage at 106 pfu ml−1. Phage MR6, MR8, MR15 and MR16 individually and cocktail13 and cocktail7 were used. These individual phages were chosen based on the bean experiment results. Cherry leaves were collected two days after the initial bacterial inoculation (week zero) and then every week for 5 weeks, and the number of bacterial colonies was counted. Phage MR6 (P < 0.0001) and MR15 (P < 0.0001) reduced the Pss population by almost 80% and 100% at time zero (week zero), respectively, and maintained the population at low level. However, the Pss population increased at week five, but it was still 30% lower than Pss alone (control) population. MR8 reduced the bacterial population (cfu per ml) by week two by almost 80%, and however, at week five, it reduced the Pss population by 20%. MR16 (P: 0.06) reduced the bacterial population to almost zero by week five. The two cocktails suppressed Pss population growth to a low level until week five after which the population increased, although overall it was still 50% less than Pss alone population (Fig. 6). Psm1 and Psm2 did not infect the leaves as well as Pss, so data were not presented here.
Fig. 6
Population dynamics of P. syringae pv. syringae (Pss) on cherry leaves with and without phage treatments with four single phage MR6, MR8, MR15 and MR16 and two cocktails. Cocktail13 consists of all 13 phages and cocktail7 consists of MR4, MR6, MR8, MR13, MR14, MR15, MR16. Each value is a mean of six replicates, and error bars represent the standard error of the mean (d.f: 604, s.e.d: 0.6, phage*time). The bacteria‐only control (Pss) is the same in all graphs.
Population dynamics of P. syringae pv. syringae (Pss) on cherry leaves with and without phage treatments with four single phage MR6, MR8, MR15 and MR16 and two cocktails. Cocktail13 consists of all 13 phages and cocktail7 consists of MR4, MR6, MR8, MR13, MR14, MR15, MR16. Each value is a mean of six replicates, and error bars represent the standard error of the mean (d.f: 604, s.e.d: 0.6, phage*time). The bacteria‐only control (Pss) is the same in all graphs.Finally, cherry twig inoculations were performed in October 2019 using Pss, Psm1 and Psm2 and delivering the same phages as above. Samples were taken 40 days after inoculation. All phages individually and both cocktails could reduce the population of all three bacteria. MR6 (P < 0.0001) reduced Pss and Psm1 population by almost 20% and Psm2 population by 40%. There was a 60% reduction in the cfu per ml of all three bacteria by phage MR8 (P < 0.0001). Phage MR15 (P < 0.0001) reduced population of Pss by 30% and Psm1 and Psm2 by 40%. Phage MR16 (P: 0.002) reduced population of Pss, Psm1 and Psm2 by 15%, 30% and 45% respectively. Cocktail13 (P < 0.0001) reduced cfu per ml of Pss, Psm1 and Psm2 by almost 10%. There was a 30% reduction in the population of all three bacteria by cocktail7 (P < 0.0001; Fig. 7).
Fig. 7
Population dynamics of Pseudomonas syringae pv. syringae (Pss), P. syringae pv. morsprunorum race 1 (Psm1) and race 2 (Psm2) on cherry twigs with and without phage treatments with four single phage MR6, MR8, MR15 and MR16 and two cocktails. Cocktail13 consist of all 13 phages and cocktail7 consists of MR4, MR6, MR8, MR13, MR14, MR15, MR16. Each value is a mean of 30 replicates, and error bars represent the standard error of the mean (d.f: 562, s.e.d: 0.4).
Population dynamics of Pseudomonas syringae pv. syringae (Pss), P. syringae pv. morsprunorum race 1 (Psm1) and race 2 (Psm2) on cherry twigs with and without phage treatments with four single phage MR6, MR8, MR15 and MR16 and two cocktails. Cocktail13 consist of all 13 phages and cocktail7 consists of MR4, MR6, MR8, MR13, MR14, MR15, MR16. Each value is a mean of 30 replicates, and error bars represent the standard error of the mean (d.f: 562, s.e.d: 0.4).
Discussion
Bacterial canker of Prunus is an annually occurring problem for the cherry fruit industry globally, causing up to 75% loss of trees (Spotts et al., 2010; Hulin et al., 2018a,b). Three pathovars of Pseudomonas syringae: Pss, Psm1 and Psm2 have been identified as the main causal agents of bacterial canker of cherry (Li et al., 2015). In this study, we have identified a number of phages that have the ability to infect and lyse these bacterial pathogens and therefore have the potential to be used as biological control agents of bacterial canker of cherry trees. For a phage to be an effective biological control agent, it is preferable that it has the ability to lyse a range of genetically diverse strains of a bacterial pathogen. All phages used in this study were originally isolated using Pss 9097, Psm1 5244 and Psm2 5255, but almost all phages were equally able to lyse Pss 9630, Psm1 9646 and Psm2 5260, which are closely related strains (Hulin et al., 2018a,b). The host range of the phages isolated in this study showed they are entirely specific to Pseudomonas syringae, with no detrimental effects to other, beneficial bacteria. Determining the host range of each of the phages enabled the selection of cocktails capable of infecting the widest variation of related bacterial pathogens. All phages, including temperate phage MR13 and MR15, produced clear plaques, displaying a lytic infection cycle, which limits the risk of horizontal gene transfer of pathogenicity possible with lysogenic phage (Penades et al., 2015).To use phage as biological control agents, the phage must be able to persist in the phyllosphere, under variable conditions. Results from the temperature stability assay showed that all 13 selected phages were capable of surviving in different environmental temperatures typical of the annual weather variations in the UK. The phages were stable and were able to lyse bacterial strains after eight weeks of incubation at temperatures ranging from −20°C to 37°C. After six months of incubation, all 13 phages were stable at −20°C, 4°C and 20°C temperature, but only phage MR5, MR7, MR8 and MR12 survived at 27°C and none of the phage survived at 37°C. −20°C seems the ideal temperature for storage as bacterial resistance emergence was not observed after conducting plaque assays. These results support the use of phage as biological control agents as they maintain their stability and viability at a range of environmental temperatures. However, when applied in the plant environment, the phage should ideally be re‐applied after two months to ensure the phage is able to infect and kill the bacterial pathogens particularly in hot summer months. Optimum growth temperature for Pss is between 5–30°C, which suggests that phages are capable of lysing bacteria at relevant temperatures (Latorre et al., 2002). Rombouts et al. (2016) showed that phage KIL3 and KIL5 used against Pseudomonas syringae pv. porri were stable in phage buffer at a range of temperatures from 4°C to 37°C, but after 24 h of incubation at 50°C, a decrease in infectivity was noted for both phage KIL3 and KIL5. After freezing, all viable KIL3 phage were lost, while the titre of KIL5 decreased by three log10 units. Gašić et al. (2018) showed that at 20°C, KΦ1 phage concentration decreased more over time than the phages stored at 4°C, indicating that the lower temperature was more favourable for phage storage, as was also observed by Ritchie and Klos (1977). Thorne and Holt (1974) demonstrated that Bacillus cereus CP‐51 phage was sensitive to low temperatures and survived better at room temperature, but the long‐term storage of phage at ambient temperature is not generally recommended. These results suggest that phage with different host specificity and structures have dissimilar ability to survive the diverse temperatures. Even the slightest differences between two phages, not only result in differences observed in host range, but also in thermostability, underlining the importance of checking the temperature range at which phages are stable.Results from the killing curve assay suggest that all 13 phages are effective at reducing bacterial populations. Generally, the higher the titre of the isolates, the faster they are at reducing the OD of Pss, Psm1 and Psm2. A phage titre of 106 pfu ml−1 appears to be the best titre for phage preparation to reduce the development of bacterial resistance. High‐titre phage inoculations may impart stronger selection pressures on the bacteria, making the bacteria more likely to evolve resistance. Resistance evolution in response to phage has been noted in Pseudomonas syringae previously. Sistrom et al. (2015) studied P. syringae pv. phaseoicola resistance against phage Φ6. Resistance evolution was seen in the assay, almost exclusively at the highest titre of phage, at 1010 pfu ml−1. However, when phages were applied in a phage cocktail, this resistance development was less likely to occur. Indeed, the possibility of resistance through lysogenic conversion was excluded, thereby confirming their suitability for phage biocontrol for this parameter (Gill and Hyman, 2009; Barbosa et al., 2013; Rombouts et al., 2016).Phage genome sequencing subdivided the 13 phages into five distinct clades, which should be linked to taxonomic groups. The genomic structure of all phages was compared with sequences deposited in the GenBank database. We revealed that phage MR1 and MR2 have a high similarity to phage PPPL‐1, a member of the Autographivirinae subfamily (Park et al., 2018; Turner et al., 2019). Within this family, PPPL‐1 is predicted to belong to the genus of Teseptimavirus. As such, we posit that phages MR1 and MR2 may also be classified within this genus of phage and consideration should be given to assigning them to a new species within this genus according to the guidelines of the ICTV (Adriaenssens and Brister, 2017). Phage MR4 represents a new species of phage within the Zindervirus (Autographivirinae subfamily; Lee et al., 2015). The collection of similar phages (MR5, MR6, MR7, MR8, MR12, MR16 and MR18) had low similarity to other phage genomes in the database, with the best hit being against Pseudomonas phage phi‐2, a member of the Autographivirinae subfamily, belonging to the genus Phikmvvirus. Therefore, these phages might represent a new bacteriophage genus within the Autographivirinae. Phage MR14 had no sequence similarity to other phage genomes in the database, therefore being considered a novel phage that should be placed in a new taxonomic group. Phage MR13 and MR15 had low similarity to other phage genomes in the database, and therefore, they can be considered as novel phages, which should be placed in a new taxonomic group. Thus, our study has helped to expand knowledge of new phages and the diversity of phages infecting P. syringae.All phages isolated in this study demonstrated a lytic infection cycle with the ability to target Pss, Psm1 and Psm2 isolates which cause canker on cherry. However, phage MR13 and MR15 genome sequence revealed one tRNA, with predicted proteins for a phage integrase as well as a putative repressor, indicating that both phages might be temperate phages, although, throughout all the experiments both phages produced clear plaques. Both MR13 and MR15 were isolated using Psm1 strain 5244, and both are able to lyse most strains of Pss, Psm1 and Psm2 and also P. syringae pv. tomato strainDC3000 and P. syringae pv. lachrymans strain 789. Also, the killing curve data showed that both MR13 and MR15 were effective at reducing bacterial populations. These two phages were also able to reduce populations of Pss on bean and cherry leaves and twigs. Being potentially temperate might limit phage potential use in phage biocontrol as they can switch their life cycle to being lysogenic (Waldor, 1998; Boyd et al., 2001; Merril et al., 2003). However, they might be useful for Pss, Psm1 and Psm2 strain typing (Di Lallo et al., 2014). Also, no toxin genes and virulence genes were identified within the phage genomes, confirming their potential use for phage‐based biocontrol (Rombouts et al., 2016).To use phage as a biocontrol agent, bacteria‐phage resistance needs to be investigated. Pss, Psm1 and Psm2 indeed developed some resistance to the phages. The identity of resistant bacteria, studied by rep‐PCR, was similar to the original bacteria. Some of the phages were able to lyse the resistant bacteria. However, it is unclear what are the mechanisms of phage resistance, and thus, further analyses may be useful. Bacteria can develop resistance to phage in several ways (Petty et al., 2006; Richter et al., 2012). This can be via the modification of the cell surface, such as receptor mutation or receptor masking, injection blocking, restriction modification or abortive infection (Petty et al., 2006; Richter et al., 2012; Frampton et al., 2014). More in‐depth analyses of the BIMs genome may be useful in finding the mechanisms behind this resistance. A study indicated that BIMs of Streptococcus thermophilus had developed new CRISPR (clustered regularly interspaced short palindromic repeat) in specific regions of the genome. The short sequences were very similar to sequences of the phages used in the BIMs generation (Barrangou et al., 2007). It is possible that the BIMs generated in this study have developed phage resistance in a similar manner, but the other ways cannot be excluded. Lysogeny in the resistant bacteria was tested and no plaque was observed, suggesting that the phages are unlikely to transfer genetic information to Pss, Psm1 and Psm2 (Frampton et al., 2014). Although phage MR13 and MR15 are temperate phage, no plaque was produced by the resistant bacteria generated using these two phages.The efficacy of the phage to lyse epiphytic bacteria in the plant environment in vivo was investigated on bean plants as a model system and on cherry leaves and twigs. Pss is the causal agent of bacterial brown spot of beans and is widely distributed epiphytically on bean leaves (Legard and Hunter, 1990), and thus, bean was chosen as an alternative host for the cherry pathogen. No resistance symptoms were observed. Almost all phages were able to reduce the cfu per ml of Pss on bean leaves, almost immediately after application. The cocktail of all phages (cocktail13) and the cocktail7 (consisting of seven phages) were also able to reduce bacterial infection by almost 10‐fold. Application of four of the phages individually, cocktail13 and cocktail7 on cherry leaves and twigs also showed that all phages were able to reduce bacterial population almost immediately after application and throughout the experiments. Psm1 and Psm2 did not colonize the leaves as well as Pss, it might be because Psm1 and Psm2 needs more time to establish on leaves environment. It could also be that Sweetheart variety is not a suitable host for Psm1 and Pms2. Boulé et al. (2011) showed that infection of potted apple tree blossoms with the bacterial pathogen Erwinia amylovora could be reduced by phage ΦEa1337‐26. A field trial of phage against Xanthomonas leaf blight of onion and tomato showed that weekly and biweekly applications of phage could reduce disease severity, a result which was comparable to treatments of weekly applications of copper–mancozeb. Phage application has previously been observed to be more effective than copper treatment in suppressing and reducing the disease severity (Obradovic et al., 2004; Lang et al., 2007). Rombouts et al. (2016) showed that phage therapy was able to reduce bacterial blight symptoms in leek caused by P. syringae pv. porri. However, applying phage efficiently in the field to ensure the persistence of phage in the phyllosphere must be further studied. High UV radiation can cause the destruction of phage particles; phage applied to tomato leaves in the early morning were undetectable the next day after UV irradiation (Iriarte et al., 2007). Several studies have sought to apply protective formulations to reduce loss of phage, such as skimmed milk powder (Balogh et al., 2010) which proved effective. Other methods explored involve applying phage along with attenuated bacterial strains to allow phage to replicate within the bacteria to a high concentration without infecting the plant (Iriarte et al., 2012). It may also be possible to force phage inside the plant tissue by way of an injection system, as the tree bark presents a physically impenetrable barrier to phage (James, 2015). This method is currently in use for other antimicrobial agents (Berger et al., 2015). Applying phage directly to the soil is also viable, and likely the most unobtrusive, scalable method of application (Iriarte et al., 2012). Therefore, to improve the efficacy of the phage in the field, phage persistence in the plant phyllosphere should be improved by the use of protective formulations, addition of non‐pathogenic phage‐propagating bacterial strains or by adapting timing and frequency of application as suggested previously (Jones et al., 2007; Balogh et al., 2010).The phages isolated in this study are able to lyse Pss, Psm1 and Psm2 and have the potential to be used as biological control of bacterial canker. However, further study is required to investigate the ability of the phages to transfer genetic material from one bacterium to another. These phages should also be applied to cherry trees in the field to check their efficacy on all strains causing bacterial canker.
Experimental procedures
Bacterial strains and culture media
Pseudomonas syringae pv. syringae (Pss) strain 9097, P. syringae pv. morsprunorum race 1 (Psm1) strain 5244 and P. syringae pv. morsprunorum race 2 (Psm2) strain 5255 were used as host strains for isolation and propagation of phage isolates. Other Pss, Psm1 and Psm2 strains were provided by NIAB EMR (Hulin et al., 2018a,b) which were collected within the UK from cherry and plum: Pss strains (9659, 9644, 9293, 9630, 9654), Psm1 strains (9646, 9657, 5300, 9326, 9629), Psm2 strains (5260, sc214, PSMR2 leaf, 9095), Pseudomonas syringae strains (9654 and 9643). Other bacteria used for analysis of host range included the following: Pseudomonas syringae pv. tomato DC3000, P. syringae pv. lachrymans 789, P. marginalis pv. pastinaceae 949, P. cichorii 907, Citrobacter werkmanii CwR94, P. fluorescens ATCC 17400, P. fluorescens F113, P. fluorescens PFR37, P. fluorescens Pf‐5, P. fluorescens Pf‐01, P. fluorescens WCS 365, P. poae PpR24 and P. putida PaW340. Kings B Medium (KB, 1 l distilled H2O, 20 g protease peptone, 1.5 g K2HPO4, 1.5 g MgSO4.7H2O, 10 ml glycerol (plus 15 g l−1 agar for plates; King et al., 1954)) was used for culturing the bacterial strains. KB with 0.7% agar was used in the soft top agar overlay for the plaque assays. Phage buffer (10 ml 1 M Tris pH 7.5, 10 ml 1 M MgSO4, 4 g NaCl, 1 ml 0.1 M CaCl2, 980 ml double distilled (dd) H2O) and phosphate‐buffered saline (PBS, 1 L ddH2O, 8 g NaCl, 0.2 g KCl, 1.44 g Na2HPO4·2H20, 0.24 g KH2HPO4, pH 7.4) were used in phage dilution.
Phage sample collection from trees
Samples were taken from cherry trees in six cherry orchards in south east England in spring and summer of 2018: NIAB EMR trial plots (51°17ʹ37.3ʺN 0°26ʹ45.4ʺE, Penny, Vanda, Groton, Colney and wild cherry varieties), GH Dean commercial cherry orchard in Sittingbourne (51°20ʹ01.6ʺN 0°47ʹ02.9ʺE, Regina, Penny, Kordia, Vanda, Hertford and Lapins varieties), Brogdale National Fruit Collection (51°18ʹ00.7ʺN 0°52ʹ31.8ʺE, Stephens variety), an old cherry orchard in Sittingbourne (51°17ʹ25.9ʺN 0°44ʹ48.2ʺE, Penny, Sweetheart, Regina and Lapins varieties) and an old cherry orchard and a young cherry orchard in Milstead (51°17ʹ14.3ʺN 0°44ʹ24.0ʺE, covered and uncovered, Penny and Sweetheart varieties). Soil samples were taken from the base of the tree, no more than a metre from the tree, at a depth of 10 cm, removing the surface soil. The soil corer used to take the soil samples was sterilized with ethanol between trees. Leaf samples were taken from the previous year's growth (measured using bud scale scars) on lower branches of the tree, with four leaves being taken per tree. Bark samples (1 cm × 1 cm) were taken using a sterile scalpel from outer and inner bark of the trees from only the NIAB EMR orchard. Samples were placed into sterile bags. All samples were stored at 4°C for later use.
Sample preparation, bacteriophage isolation and amplification
For phage isolation from soil samples, 2 g of soil was weighed and placed inside a 50 ml Falcon tube containing 20 ml PBS and three sterile tungsten beads (Qiagen, Manchester, UK). The tube was vortexed for one min and centrifuged at 4500 r.p.m. for 5 min. A 5 ml aliquot of resulting supernatant was filtered through a 0.22 µm filter (Millipore, Sigma‐Aldrich, Gillingham, UK) to remove any bacteria. For leaf and bark samples, either 4 discs of leaf (approximately 1 cm in diameter) or one piece of bark (1 cm × 1 cm) were placed into a 50 ml Falcon tube containing 20 ml PBS and 3 sterile tungsten beads (Qiagen) and followed the above procedure. The resulting filtrate was stored at 4°C for use in plaque assays.The optical density (OD) of overnight bacterial cultures were measured at 600 nm and adjusted to an optical density of 0.2 (≃ 108 bacterial cells per ml). 100 µl of the bacterial host and 100 µl of serially diluted environmental sample were added into soft top agar overlay and poured onto KB hard agar and incubated overnight at 27°C. Three successive single plaque isolations were performed to achieve pure phage isolates.Phages were amplified by plating 106 plaque forming units (pfu) per plate with bacterial host on a soft agar overlay plate. After overnight incubation at 27°C, 5 ml PBS was added onto the plate and incubated at room temperature for one hour with agitation every 15 min. PBS was removed and filtered through a 0.22 µm filter to remove any bacteria. For bulking up, phage was enriched by adding 2 ml of bacterial cells at OD600 = 0.2 to a 50 ml Falcon tube containing 23 ml KB and incubated at 27°C shaking at 200 r.p.m. After 1 h, 1 ml phage sample, 50 mM CaCl2 and 50 mM MgCl2 were added to the bacteria and incubated shaking for 5 h. 250 µl chloroform (AnalaR, VMR, UK) was added and left to incubate for another hour. After incubation, the tube was removed and centrifuged at 4500 r.p.m. for 45 min at room temperature to pellet the bacterial cells. After centrifugation, the supernatant was removed, taking care not to disturb the bacterial pellet. The supernatant was filtered through a 0.22 μm filter into a fresh 50 ml Falcon tube, and polyethylene glycol (PEG) 8000 (Sigma‐Aldrich) was added to the suspension to a final concentration of 8% w/v. After overnight incubation at 4°C, phage was precipitated by centrifugation (45 min, 4500 r.p.m. at 4°C) and the pellet was dissolved in 3 ml phage buffer. Phage were titered before storage at 4°C.
Host range assay
Phage host range was performed by spotting 5 µl of phage serially diluted suspensions (104–105 pfu ml−1) on plates with a soft agar layer supplied with a specific bacterial isolate (OD600 = 0.2). The plates were incubated at 27°C for 24 h. After incubation, plates were checked for clearing where the spots of phage were applied.
Electron microscopy
To visualize phage using transmission electron microscopy (TEM), 400 µl of PEG precipitated (described above) samples (1010 pfu ml−1) were centrifuged in ultra‐centrifugal filter tube (30K, Thermo Fisher Scientific, Hemel Hempstead, UK) for 30 min at 15 000 r.p.m. at 4°C. Then, 10 µl was taken and spotted on a copper coated carbon–formvar TEM grid (300 mesh, Agaro) and left for 20 min to dry. Next, 10 μl of sterilized H2O was spotted on the grid and left for 2 min. This was negatively stained with 10 μl of (1% w/v in distilled water) uranyl acetate (Thermo Fisher Scientific) for 2 min. Samples were analysed using a Phillips CM200 Transmission Electron Microscope (TEM) at accelerating voltage of 80 kV and photographs taken using an AMT camera system software.
Phage DNA extraction
A Phage DNA Isolation Kit (Norgen Biotek, Thorold, Canada) was used to extract phage DNA from a high‐titre plate lysate (minimum of 108 pfu ml−1) following the manufacturer's instructions. Extracted DNA was stored in a 1.5 ml ultracentrifuge tube at −20°C until needed. The DNA concentration and quality were measured using a NanoDrop 2000 (Thermo Fisher Scientific).
Random Amplification of Polymorphic DNA (RAPD)‐PCR
RAPD‐PCR was performed using DNA Primer P1 (5ʹ‐CCGCAGCCAA‐3ʹ, Eurofins, UK) at a concentration of 100 pmol µl−1, with 10 µl GoTaq® Green Mastermix (Promega) and 8 µl sterilized water, all added to a 200 µl PCR microtube. Pss, Psm1 and Psm2 were used as controls alongside a negative control containing only sterilized water. Reaction conditions were followed as described by Gutierrez et al. (2011): four cycles at 94°C for 45 s, 30°C for 120 s and 72°C for 60 s; 26 cycles at 94°C for 5 s, 36°C for 30 s and 72°C for 30 s (the extension step increased by 1 s for every new cycle); a final step of 10 min at 75°C followed by 4°C for ∞. DNA amplicons were electrophoresed through a 1% (w/v, 0.5× Ambion® TBE buffer (Geneflow (UK), 10× solution contains 0.89 M Tris, 0.89 M Borate, 0.02 M EDTA)) agarose (Bioline, London, UK) gel.
Phage genome sequencing
The genomic DNA was sequenced using Illumina MiniSeq platform at the Laboratory of Gene Technology, KU Leuven (Belgium). A library was prepared using the Nextera Flex DNA Library Kit for each sample, tagged with a unique adapter sequence. The quality of each library preparation was controlled using an Agilent Bioanalyzer 2100. All library preps were equally pooled and sequenced using a MiniSeq Mid Output flowcell (300 cycles; 2*150 bp reads). After processing, the reads were trimmed with Trimmomatic (v0.36.5; Bolger et al., 2014). Genome assembly and annotation were done on the Galaxy (Afgan et al., 2018) and PATRIC (v3.6.2; Wattam et al., 2016) platforms using SPAdes (Bankevich et al., 2012) and RASTk (Brettin et al., 2015) respectively. Functional annotation was carried out by comparing translated ORFs in a BLASTp analysis (Altschul et al., 2005) against the non‐redundant GenBank protein database (Kelley and Sternberg, 2009). When over 65% sequence similarity was present, that sequence was used as a reference to compare the sequenced genome with. Easyfig (Sullivan et al., 2011) was used to create linear comparison figures of multiple genomes and BLAST comparisons between multiple genomic regions.
Killing curve assay
To measure the effect of bacteriophage on bacterial growth, a killing curve assay was carried out. In a Greiner 96‐well flat‐bottomed plate, 100 µl of OD600 = 0.2 bacterial host in KB was aliquoted into each well of a row. Killing curves were generated at different multiplicity of infections (MOIs). 100 µl of each phage dilution in PBS was aliquoted to the corresponding well. This was repeated for each pathovar and corresponding phage strain. Two phage cocktails were also prepared: ‘cocktail13’ containing all phage strains and ‘cocktail7’ containing MR4, MR6, MR8, MR13, MR14, MR15, MR16. Sterile PBS was added to the bacterial broths as a negative control; and KB and PBS as a blank. The plate was loaded into a Magellan plate reader running Tecan software, measuring the optical density at 595 nm every 20 min for 19 h, with incubation at 27°C and shaking for 10 s before each reading.
Phage stability at different temperatures
To test the stability of the phages at different temperatures, phage suspensions (104–6 pfu ml−1) were incubated at the following temperatures: −20°C, 4°C, 18°C, 27°C, 37°C in phage buffer. Infectivity of the phage was tested by incubating soft agar plates containing 100 µl of the bacterial host (OD600 = 0.2) with spots of different phage concentrations at 27°C. The pfu ml−1 of each phage was counted after 24 h, and the study was repeated every 7 days for 2 months and once after 6 months. Data were analysed using Genstat 18th edition (VSNI).
Bacterial resistance development to phage
Spontaneous mutants of Pss, that were resistant to phage infection (Bacteriophage‐insensitive mutants – BIMs) were isolated as previously described in Frampton et al. (2014) and the frequency of bacterial resistance to phage was determined (McDonnell et al., 2018). Using the agar overlay method, 100 μl of phage and 100 μl of bacteria were plated at MOI 1, to lyse all bacteria on the plate. After 48 h of incubation at 27°C, emerging colonies were counted and four colonies were cultured and streaked to single colonies at least twice to ensure that a single strain was selected and to remove any phage particles (Frampton et al., 2014) and re‐tested for resistance against phage infection. This was done in a second plaque assay using each phage against its corresponding single purified BIM isolate. To check, if each phage was able to lyse BIM generated using a different phage, 5 µl of each phage was spotted onto soft agar containing different BIMs.Phage‐resistant isolates were then analysed with repetitive DNA PCR‐based genomic fingerprinting (rep‐PCR) to confirm their Pss, Psm1 and Psm2 identity (Vicente and Roberts, 2007). Rep‐PCR was performed in 20 µl volume containing: 10 µl GoTaq® Green Mastermix (Promega), 2 µl of dimethylsulphoxide (DMSO; Sigma‐Aldrich), 1 µl of 3.2 lg bovine serum albumin (BSA; Sigma‐Aldrich) and 1 µl 40 pmol of each primer REP, ERIC and BOX (Eurofins, UK). DNA of resistant bacteria was prepared as follow: 1 ml of overnight culture was centrifuged at 13 000 r.p.m. for 3 min. The supernatant was discarded, and the pellet was re‐suspended in 200 µl TE buffer (1 M Tris‐HCL, 0.5 M EDTA pH 8). After vortexing, the cell suspension was heated at 100°C for 10 min on a heating block. The tube was then chilled on ice for 10 min followed by second centrifugation. The supernatant was transferred to a new tube and 2 µl used in a PCR reaction (Vicente and Roberts, 2007).PCR conditions were as follows: one initial cycle at 95°C for 2 min; 30 cycles of denaturation at 94°C for 3 s and 92°C for 30 s, annealing at 40, 52 or 53°C for 1 min with REP, ERIC and BOX primers, respectively, extension at 65°C for 8 min; single final extension at 65°C for 8 min and then held at 4°C (Vicente and Roberts, 2007). PCR products were separated by gel electrophoresis on a 2% agarose gel for 2 h at 60 V.Lysogeny in these resistant bacteria was tested. The supernatant from overnight cultures of resistant bacteria were collected and tested for the spontaneous release of phage particles by spotting 5 µl drops onto soft agar containing the different bacterial hosts (Pss, Psm1 and Psm2) and observing for plaques (Rombouts et al
., 2016).
Bioassay
The efficacy of the phages (and phage cocktails) at reducing disease progression was evaluated in vivo using bean plants (Phaseolus vulgaris), a known host of P. syringae. Three bean seeds (Cobra Climbing French variety) were planted in 5‐inch pots containing John Innes compost (no. 1) and incubated at 22°C with each pot having five replicates, per sample, arranged randomly. Pss (OD600 = 0.2) was prepared in PBS and phage suspension was PEG precipitated in phage buffer (106 pfu ml−1) and placed into mist sprayers (transparent fine mist spray, Amazon, UK). Beans were grown for approximately ten days until bifoliolate stage. All leaves were first sprayed with bacterial host and left to dry for 30 min, three leaves were randomly collected from five pots (control, 0 h). The rest of the samples were sprayed with the phage and left to dry for 30 min and three leaves were collected immediately (0 h). Pots were placed in a plastic grow cover (Verve, B&Q, UK), to maintain humidity. Leaf samples were collected every 24 h for 5 days. From each collected leaf, four discs (1 cm in diameter) were removed and placed into a 2 ml tube containing 1 ml PBS with two tungsten beads and homogenized at a speed of 6 m s−1 for 10 s. Serial dilutions were prepared, and 3 × 25 µl of neat, 10−1, 10−2, 10−3 serially diluted samples were spotted onto KBagar plates containing 100 µg ml−1 Cycloheximide (Sigma‐Aldrich). Plates were incubated at 27°C, and the number of colony forming units (cfu ml−1) was recorded after 24 h.Cherry leaf inoculation was conducted on two‐year‐old cherry cultivar Sweetheart on rootstock Gisela 5 (dwarf) in 12 l pot (Ornamental Trees, UK). Pss, Psm1 and Psm2 suspensions of ≃ 108 cfu ml−1 in PBS and phage suspension (106 pfu ml−1) were used for inoculation. Leaves were fully covered with bacteria using hand sprayers and left to dry for a day. Phage inoculation was done the day after. PBS, bacteria and phage only treatments were used as control. Each branch of a tree was used as a treatment. Two trees were used per phage inoculation. Trees were incubated in a controlled environmental chamber (Weiss‐Technik, UK) at day/night temperature 25/15°C, 85% humidity and 14/10 h day/night length. Leaf samples were collected one day after phage inoculation (week 0), and thereafter samples were collected every week for 5 weeks. The above procedure for beans was performed to calculate cfu ml−1.Twig inoculations were performed as previously described by Hulin et al. (2018a,b). Bacterial suspensions of 108 cfu ml‐1 were used for inoculations through wounds. A sterile scalpel was used to cut a shallow wound at an angle into the twigs, and 100 µl of bacterial inoculum was pipetted into the wound. The next day, each wound was inoculated with 100 µl of phage suspension (106 pfu ml−1). The inoculation sites were covered with Parafilm (Sigma‐Aldrich). Five inoculations were performed on the same twig. PBS, bacterial and phage only treatments were used as control. Woody samples were collected 40 days after inoculation from the infection sites and analysed for the presence of bacteria by plate count of cfu in the samples. 0.5 g of woody tissue was added to 1 ml of sterile PBS and homogenized, and the above procedure was performed to calculate cfu ml−1. Data were analysed using Genstat 18th edition (VSNI).
Conflict of interest
The authors declare that they have no conflict of interest.
Authors contributions
M.R. and R.W.J. conceived and contributed to experimental design. M.R. and S.R.R. carried out experimental work. L.F., B.J.Q., R.C. and G.W.S. contributed to experimental work. M.R., D.H., J.W. and R.L. contributed to genome sequencing. M.R. performed statistical analysis and wrote the manuscript. All authors contributed to interpretation of results, read and approved the final manuscript.Table S1. Host range, source and location of 70 phages isolated in this study.Fig S1. RAPD‐PCR profile image of 18 phages characterised in this study.Fig S2.
In vitro killing curve displaying the effect of phages used in this study on Pseudomonas syringae pv. syringae (Pss) population growth.Fig S3. Temperature stability of phages used in this study.Fig S4. Rep‐PCR profile image of bacteria resisted to phage.Click here for additional data file.
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