Abstract
CRISPR-Cas systems provide bacteria and archaea with adaptive immunity against genetic invaders, such as bacteriophages. The systems integrate short sequences from the phage genome into the bacterial CRISPR array. These ‘spacers’ provide sequence-specific immunity but drive natural selection of evolved phage mutants that escape the CRISPR-Cas defence. Spacer acquisition occurs by either naive or primed adaptation. Naive adaptation typically results in the incorporation of a single spacer. By contrast, priming is a positive feedback loop that often results in acquisition of multiple spacers, which occurs when a pre-existing spacer matches the invading phage. We predicted that single and multiple spacers, representative of naive and primed adaptation, respectively, would cause differing outcomes after phage infection. We investigated the response of two phages, ϕTE and ϕM1, to the Pectobacterium atrosepticum type I-F CRISPR-Cas system and observed that escape from single spacers typically occurred via point mutations. Alternatively, phages escaped multiple spacers through deletions, which can occur in genes encoding structural proteins. Cryo-EM analysis of the ϕTE structure revealed shortened tails in escape mutants with tape measure protein deletions. We conclude that CRISPR-Cas systems can drive phage genetic diversity, altering morphology and fitness, through selective pressures arising from naive and primed acquisition events.
This article is part of a discussion meeting issue ‘The ecology and evolution of prokaryotic CRISPR-Cas adaptive immune systems’.
Keywords: CRISPR-Cas, bacteriophages, tape measure protein, phage evolution, phage morphology
1. Introduction
Phages are abundant, genetically diverse and are expected to evolve faster than their bacterial hosts [1,2]. In response, bacteria employ different strategies to limit phage predation, including CRISPR-Cas systems [3,4]. Briefly, CRISPR-Cas immunity is mediated through three stages. Firstly, during adaptation, fragments of invading phage DNA are incorporated into the CRISPR array [5]. During the expression phase, the Cas proteins are produced and the CRISPR array is transcribed and processed into CRISPR RNAs (crRNAs) [6]. The crRNAs associate with Cas effector proteins or protein complexes to survey the cell for sequence complementary to the crRNA. Finally, in interference, phage genomic material is recognized and degraded by Cas nucleases [6,7] (for recent reviews, see [5,8,9]).
The initial generation of immunity against phages occurs through naive adaptation, which will typically result in the incorporation of a single spacer into the CRISPR array [5,7]. Consequently, CRISPR-Cas targeting has been shown to select for phages with point mutations in positions of the protospacer and protospacer adjacent motif (PAM) that are required for interference [7,10–19]. Additionally, small deletions or duplications have led to phage escape from CRISPR-Cas [11,15,18]. In type I CRISPR-Cas systems, point mutations that abolish interference can activate primed adaptation (or priming), during which, multiple new spacers are incorporated into the CRISPR array to provide effective resistance against the invader [11,20–22]. Consequently, it is predicted to be more difficult for phages to escape from bacterial strains that have undergone primed acquisition. A recent bioinformatic study observed that priming is widespread and many CRISPR arrays contain multiple spacers targeting nearby regions within the phage genome [23]. Evidence of priming was confirmed in four type I systems, I-B, I-D, I-E and I-F, as well as two type II systems, II-A and II-C, demonstrating that in many CRISPR-Cas systems, multiple spacers will target a single gene. While some studies have observed phage escape from strains with single-phage targeting spacers, representing naive adaptation, resistance acquired through primed adaptation is predicted to provide a different selection pressure for phages to overcome.
To investigate genetic changes occurring in phage populations overcoming single (naive) or multiple (primed) spacers targeting different phage genes, we used two phages, ϕTE and ϕM1, to infect Pectobacterium atrosepticum containing a type I-F CRISPR-Cas system [24,25]. Point mutations typically allowed phages to overcome a single spacer, whereas escape through duplications and deletions were less frequently observed. By contrast, phages only escaped multiple spacers through deletions, some of which were quite large, losing up to 61% of the targeted gene. When these deletions occurred in structural genes, the escape phages exhibited altered morphology as observed by electron microscopy. Therefore, naive and primed adaptation provide different selection pressures that drive the evolution of phages and generate parasite genetic diversity in response to bacterial CRISPR-Cas defences.
2. Material and methods
(a). Strains, plasmids and growth conditions
Bacterial strains and plasmids used in this study are given in electronic supplementary material, tables S1 and S2. Pectobacterium atrosepticum SCRI1043 [26] was grown at 25°C and E. coli at 37°C in lysogeny broth (LB) at 180 r.p.m. or on LB-agar (LBA) plates containing 1.5% (w v−1) agar. When required, media were supplemented with tetracycline (Tc; 10 µg ml−1) and isopropyl-ß-d-thiogalactopyranoside (IPTG; 1 mM). Bacterial growth was measured in a Jenway 6300 spectrophotometer at 600 nm (OD600).
(b). Generation of strains with phage-targeting spacers
Phage genes were cloned into a plasmid, pPF712, containing a priming protospacer (spacer 1 from CRISPR1, with a TG PAM), a Tc resistance cassette and mCherry [27], which enabled us to exploit priming to obtain phage-resistant strains that are rare under laboratory conditions [22,28]. The ϕTE genes targeted included the DNA polymerase (phiTE_10, 1,998 bp), a putative tail fibre (phiTE_215, 3,300 bp), which contains three collagen triplex helix repeats that are found in phage fibrillar proteins [29–31] and the putative tape measure protein gene (phiTE_228, 2,436 bp) (figure 1a–c,f). Genes targeted for ϕM1 included an RNA polymerase (phiM1_31, 2,445 bp) and a putative tail fibre (phiM1_44, 1,603 bp) (electronic supplementary material, figure S1a–c) [32]. The oligonucleotide and plasmid details are listed in electronic supplementary material, table S2. Pectobacterium atrosepticum was transformed with the priming vectors, followed by selection on Tc. Transformants were then grown in cultures without selection, with daily subculturing and plating onto LBA containing IPTG, to visualize colonies that had lost the vector (mCherry expression). Clones not expressing mCherry were patched onto LBA ± Tc to confirm loss of the plasmid and the CRISPR arrays of Tc-sensitive clones were amplified using PCR to detect spacer acquisition, using the following primer combinations: PF174 and PF175 for CRISPR1, PF176 and PF177 for CRISPR2 and PF178 and PF179 for CRISPR3. The expanded CRISPR arrays were sequenced, using PF175 for CRISPR1 and PF177 for CRISPR2, and new spacers were mapped to the relevant plasmid and phage genome(s). Strains with between one and four new phage-targeting spacers (anti-ϕ strains) were isolated, to represent strains that had acquired phage resistance through naive and primed acquisition (figure 1b,c; electronic supplementary material, figure S1b,c and table S1). Predicted functional protein domains encoded within the phage genes (figure 1) were identified using NCBI Conserved Domain search [33].
(c). Phage storage, titration and adsorption assays
ϕTE (142, 349 bp) [34] and ϕM1 (43 827 bp) [32,35] were stored in phage buffer (10 mM Tris–HCl pH 7.4, 10 mM MgSO4 and 0.01% w v−1 gelatin). Phage stocks were titrated by serially diluting in phage buffer, adding to 100 µl of P. atrosepticum culture (pre-grown in 5 ml LB overnight) in 4 ml top LBA (0.35% (ϕTE) and 0.5% (ϕM1) agar) and pouring onto LBA plates. Once set, plates were incubated at 25°C overnight, plaques were counted and the titre determined as plaque forming units (pfu) ml−1. Efficiency of plating (EOP) was determined as: (pfu ml−1 (test strain)/pfu ml−1 (control strain, P. atrosepticum)). The plaques produced on some anti-ϕTE were tiny pin-pricks, which were difficult to accurately count. To determine EOP on these hosts, tiny plaques obtained for a proportion of the plate were counted, and taking into account the absence of plaques on lower dilutions, reproducible estimates were able to be made within an order of magnitude. Adsorption was assessed by infecting exponential phase wild-type P. atrosepticum cultures with phages at a multiplicity of infection (MOI) of approximately 0.1. Samples taken at several time points were added to phage buffer containing chloroform to lyse cells. Phage adsorption was determined as (pfu ml−1 (t = 0 min) − pfu ml−1 (t = 0–40 min)/pfu ml−1 (t = 0 min)). The change in pfu over time was determined as (pfu ml−1 (t = 0–70 min)/pfu ml−1 (t = 0 min)).
(d). Classification of partial resistance and genotypic escape phages
Following observation and characterization of the plaque morphologies on anti-ϕ strains (figures 1 and 2, electronic supplementary material, table S3), genotypic escape phages and those that had not heritably escaped were identified based on the following criteria. ϕTE phages that had not heritably escaped had a reduced EOP when retitrated, to the EOP value initially observed for the strain, and produced plaques smaller than those on the control (P. atrosepticum). Additionally, plaques had defined edges, although on some anti-ϕTE strains, plaques were too small to properly observe the edges. ϕTE genotypic escape phages were typically the size of plaques produced on the control wild-type strain (P. atrosepticum) and the plaques all had undefined, turbid margins, which is also characteristic of plaques formed on the control. In this study, all plaques on the anti-ϕM1 strains were formed by phages that had not heritably escaped CRISPR-Cas. The representative plaques that were retitrated from anti-ϕM1 strains had a reduced EOP, to the level initially observed for the strains. Plaques were smaller than those produced on the control strain and plaque edges were not altered. To titrate both genotypic escape phages and phages that had not heritably escaped CRISPR-Cas, phages were first picked from the centre of the plaques using a toothpick and phages were suspended in phage buffer. Phages were serially diluted and 10 µl was spotted onto lawns of both the anti-ϕ strains and the WT control strain. Genotypic escape phages were plaque purified at least twice before being sequenced, with the primers used to amplify the phage genes (electronic supplementary material, table S2). Each escape phage infected the anti-ϕ host strain with an EOP of 1 (electronic supplementary material, table S4).
(e). Negatively stained electron microscopy
For negatively stained electron microscopy, 10 µl of high-titre, highly concentrated lysate samples were loaded onto carbon-coated 300-mesh copper grids for 60 s. These grids were blotted to remove excess specimen, then stained with 10 µl of 2% phosphotungstic acid solution (pH 7) and blotted dry. A Philips CM100 transmission electron microscope operated at 100 kV with a magnification of approximately 66 000× was used to record micrographs. Over 30 measurements of lengths of individual tails for wild-type and mutant phages were measured in 3dmod [37].
(f). Cryo-electron microscopy
Quantifoil holey carbon grids were glow discharged (to increase hydrophilicity) and then 3 µl of purified phage sample was applied to each grid. Excess buffer from the sample was blotted away with filter paper and the grid immediately flash frozen by plunging into liquid ethane (cooled down to less than −160°C by liquid nitrogen) using a Vitrobot Mark IV plunging device. Grids were visualized using a Titan Krios operated at 300 kV using the Leginon automated acquisition software [38] on a K2 Summit camera in counting mode using an energy filter with 20 eV slit at a magnification corresponding to a calibrated pixel size of 1.39 Å. A number of 1800 digital micrographs movies were recorded at 125 ms frame−1 with 64 frames per exposure corresponding to a total dose of 47 e−/Å2.
Individual frames were aligned using Motioncor2 [39] using patch alignment, all frames being included in the final dose-weighted average. Contrast transfer function parameters were estimated using ctfind4 [40]. Image processing was done in cisTEM [41]. Automatic particle selection of capsids resulted in 5590 particles. After 20 rounds of two-dimensional classification full and empty capsids were separated into two classes. A total of 10 rounds of three-dimensional refinement with imposed icosahedral symmetry were performed for images of the full capsid. Two independently refined volumes were calculated in order to estimate the resolution using the Fourier Shell Ring correlation with a 0.143 cutoff giving an estimated resolution of 7.1 Å. UCSF Chimera [42] was used to visualize the resultant output maps to generate the final images.
3. Results
(a). Phage-targeting spacers reduce phage infectivity
To investigate the phage response to single or multiple spacers, representing typical naive and primed adaptation events respectively, we isolated P. atrosepticum strains with one or more spacers in the I-F CRISPR-Cas system targeting two different regions in ϕTE (a Myoviridae) [34] and ϕM1 (a Podoviridae) [32,35]. The ϕTE genes targeted included genes encoding a DNA polymerase, a putative tail fibre and the tape measure protein [29,34] (figure 1a–c,f). Genes targeted in ϕM1 encoded an RNA polymerase and a putative tail fibre (electronic supplementary material, figure S1a–c) [32]. For both phages, strains with one phage-targeting spacer provided protection, from approximately 3- to 100-fold, and additional spacers typically improved resistance, up to 105-fold for ϕTE (figure 1d,e,g) and 103-fold for ϕM1 (electronic supplementary material, figure S1d,e). In addition, on the strains with single spacers, the plaques formed by both phages were smaller than when grown on the WT phage-sensitive control (figure 1d,e,g; electronic supplementary material, figure S1d,e, table S3). As spacer number increased, plaque sizes were reduced further, which was more pronounced with ϕTE. However, some larger plaques were present on some anti-ϕTE strains, suggesting that these phages replicated unhindered (e.g. TE TFP 2 and 6; figure 1e). In summary, strains with spacers targeting several regions of both ϕTE and ϕM1 reduced phage infectivity and plaque size, with multiple spacers providing more resistance than a single spacer. Therefore, strains with multiple spacers representative of priming provide stronger resistance than single spacers that are typical of naive adaptation.
(b). Phages escape strains with single spacers through point mutation
To determine how phages were propagating on the strains with single spacers, phages from five independent plaques formed on representative phage-resistant strains were titrated on the WT and their corresponding anti-ϕ strain from where they were isolated. For ϕM1, approximately threefold reductions in infection and small plaques were detected, similar to those observed for the original phage (electronic supplementary material, figures S1d,e and figure S2a–e). Likewise, a similar result was observed for a strain with a single spacer targeting ϕTE (TE DNP 1; electronic supplementary material, figure S2c). Therefore, phage propagation was still hindered to the same level, indicating that these phages had not genetically escaped CRISPR-Cas interference. Apparently, interference is weak when only a single spacer targets these phage genes, which results in roughly one-third of phage infections being able to outpace the CRISPR-Cas-mediated DNA degradation and form small plaques. This might be due to insufficient expression of Cas complexes loaded with the appropriate phage-targeting crRNA, relative to phage replication. Interestingly, a similar phenomenon has been observed with anti-CRISPRs, which can cause partial CRISPR-Cas immunity against phages [43,44] and can reduce plaque size [45].
For some strains with a single spacer (e.g. TE TFP 2), rarer large plaques were visible in addition to the smaller plaques (figure 1e and electronic supplementary material, figure S2d,e). When phages from these larger plaques were isolated, they robustly re-infected the strain with the single spacer, indicating that they bred true, as genotypic escapes. Sequencing the target regions in all of these escape phages revealed point mutations in the -1 and -2 PAM positions, as well as positions 1–5 and 7 of the protospacer (figure 2a; electronic supplementary material, table S4). These mutations indicate the importance of these seed positions for interference in the type I-F system, hinting at a seed similar to that of the type I-E systems [10]. One phage escaped targeting due to three mutations in positions 25, 26 and 32 of the protospacer (electronic supplementary material, table S4, esc ϕTE19). Overall, the point mutations mostly resulted in missense mutations (65%; 15 out of 23), but some silent mutations also occurred (electronic supplementary material, figure S3a and table S4). Phages also overcame targeting by duplication of a 15 bp sequence in the middle of the protospacer (electronic supplementary material, table S4; esc ϕTE17 and ϕTE18). Four phages had escaped targeting via deletions ranging from approximately 100 to 400 bp (electronic supplementary material, figure S2g). In summary, phages mostly overcame strains with one spacer through point mutations in the PAM or seed sequence, while escape through deletions and duplications occurred less frequently.
(c). Phages typically escape strains with multiple spacers by deletions
Next, we assessed how phages escaped strains that had acquired multiple spacers. Phages that had escaped targeting of the tail fibre gene had deletions ranging from 990 bp to 2004 bp, comprising up to 61% of the 3300 bp gene (figure 3a,b and electronic supplementary material, figure S2f,h). Each deletion was towards the centre of the gene, which allowed the gene to remain in-frame. Therefore, the ends of the protein would remain intact, indicating that a shortened tail fibre is tolerated. Indeed, no escape phages formed on a strain that targets 44 bp from the N-terminus (figure 1c; TE TFP 5), further supporting the view that deletions close to the start of this gene cannot be tolerated functionally. We also characterized a few rare escape deletions that arose from single phage-targeting spacers, which revealed that similar deletions ranging from 57 to 1719 bp were possible (figure 3b; electronic supplementary material, table S4). However, we saw that escape through point mutation was more common for these strains (electronic supplementary material, figure S3b). Analysis of all deletions demonstrated that they were mediated by 4–24 bp of sequence microhomology (figure 3b; electronic supplementary material, table S4). In phage T4, recombination is more frequent between GC-rich sequences [46]. In agreement, most microhomology sequences in ϕTE had a higher GC% than the average GC% for the tail fibre gene. In summary, large deletions enabled escape from strains with three phage targeting spacers. Therefore, multiple spacers, typical of priming, impose more stringent selection that can lead to large deletions, which impact on the structural integrity and morphology of these phages.
(d). Deletions in the tape measure protein gene allow phages to overcome CRISPR-Cas targeting
About one-third of the ϕTE genome encodes predicted structural genes [34], including the putative phage tail length determining gene, encoding the tape measure protein (figure 1a,f). Tape measure proteins dictate the length of the phage tail [47,48] and altering their length alters tail length proportionally in members of the Siphoviridae [32,47,49,50] and Myoviridae [48]. We predicted that phages that escape CRISPR-Cas targeting, via deletions in the tape measure gene, would have altered morphologies due to shorter tails. Analysis of an anti-ϕTE TMP genotypic escape phage revealed a 120 bp deletion (figure 3d; esc ϕTE5). When this phage was grown on a host with a different spacer targeting elsewhere in the gene, a phage variant with a further 45 bp deletion emerged (esc ϕTE40). In total, approximately 7% of the tape measure gene was deleted (figure 3d). Similar to the tail fibre deletions described earlier, the tape measure deletions were associated with microhomology sequences (electronic supplementary material, table S4). No deletions were isolated on other strains with single or multiple spacers, suggesting that the other regions targeted are less tolerant, or functionally intolerant, of deletions (electronic supplementary material, table S3). In summary, this confirms that CRISPR-Cas can positively select for phages containing deletions in genes encoding predicted structural proteins, including the tape measure protein, which is predicted to generate in phages with altered tail lengths.
(e). CRISPR-Cas escape mutants have altered structural morphology
To determine if deletions in genes encoding structural proteins would lead to altered phage morphologies, we used electron microscopy (EM). Firstly, we used cryo-EM to analyse the morphology of the ϕTE phage in detail. We reconstructed the three-dimensional structure of the capsid to a resolution of 7.1 Å (figure 4a; electronic supplementary material, figure S4). A two-dimensional average of tail images shows a helical, 1460 Å long tail, composed of a long thin neck, a base-plate and approximately 26 equally spaced rings with a width of approximately 40 Å each (figure 4b). To examine the effects of the deletions in the phage structural genes (i.e. the tail fibre and tape measure), a selection of escape mutants were purified and analysed by negative stained EM. Owing to difficulties in observing the small tail fibres that are positioned in different arrangements, it was not possible to visualize these structural changes. However, analysis of the escape phage with two deletions in the gene encoding the tape measure protein (figure 4c–e; esc ϕTE40) showed that the tail was shorter by 75 Å compared with the WT phage. Although the entire wild-type tail length is 1460 Å, the tape measure protein only contributes to the length of the tail ring structure, which is 1040 Å long (figure 4c). In the escape phage, the tail length is reduced by 7%, resulting in the loss of one to two rings (figure 4d,e), correlating with the approximately 7% gene deletion (figure 3d). In summary, CRISPR-Cas interference can provide a strong selective pressure for the generation of phages carrying deleted regions of genes, leading to phage morphological changes.
(f). Deletion escape mutations have a minor impairment in infectivity
Although deletions and point mutations allow phages to overcome CRISPR-Cas, they are predicted to have different fitness outcomes for the phages. Deletions are more likely to have a larger impact on protein function than point mutations. Since tail fibres and the tape measure protein are required for adsorption and DNA injection, phage infection might be affected in the corresponding mutants [50,51]. To assess the effect of the mutations, phage infection was measured in liquid cultures (figure 5). Each escape mutant was used to infect WT P. atrosepticum at a range of multiplicities of infection and compared with wild-type ϕTE infection (figure 5a,b). In all cases, the escape phages infected the WT strain with an efficiency that was similar to the wild-type ϕTE, with the exception of two deletion mutants (ϕTE42 and ϕTE40). These deletion mutants were less effective at infecting the WT strain at lower multiplicities of infection. When all escape phages were compared with the ability of the wild-type ϕTE to infect the original phage-resistant strains, the escape mutants were always more successful than the wild-type phage (figure 5c). These experiments showed that the mutants were not markedly impaired for infection capacity, at least when grown in these single phage-host combinations under laboratory conditions. The point mutant escape phages and the tape measure deletion mutant adsorbed to the WT host similarly to wild-type ϕTE, indicating no obvious major impairment in host recognition and binding (figure 5d). By contrast, the two mutants with deletions in the tail fibres had essentially undetectable or impaired adsorption over the same time frame (30 min). However, we did observe an increase in phage titres in these cultures after a single round of infection, by sixfold and fourfold for ϕTE2 and ϕTE42, respectively (figure 5e), and because these phages still infect and lyse bacterial cultures (figure 5b,c), adsorption must still occur, albeit at a lower rate. In summary, escape phages with point mutations or deletions in phage structural genes were still functional and had a wider host range than wild-type ϕTE, as they replicated extensively on the strains with spacers that targeted the wild-type phage.
4. Discussion
CRISPR-Cas systems can generate immunity through naive or primed adaptation. Naive adaptation usually results in a single new spacer targeting the invading phage, whereas priming frequently leads to acquisition of multiple new spacers. Here, we tested the ability of the type I-F CRISPR-Cas system in P. atrosepticum to limit phage infection and assessed the consequences for the phage sequence, structure and function when phages escape immunity provided by one or multiple spacers. Phages overcame strains with one targeting spacer most commonly via point mutations, whereas duplications and deletions were less frequently observed. By contrast, strains with multiple phage-targeting spacers favoured the emergence of escapes that had internal gene deletions. The resulting deletions could occur in genes encoding structural proteins, demonstrating how CRISPR-Cas can influence the generation of phage diversity and morphology. Evidence of randomly occurring deletions and point mutations in phages (e.g. [47,52,53]) is consistent with the view that CRISPR-Cas targeting leads to the evolution of pre-existing phage variants arising through mutation and natural selection.
Our results demonstrate that the most frequent route for phages to escape strains with a single phage-targeting spacer is via point mutations, which is consistent with previous studies [7,10–19]. Analysis of the point mutants provided evidence that the PAM and positions 1–5 and 7 of the protospacer are important for efficient targeting by the type I-F system, which builds on previous work in P. atrosepticum and P. aeruginosa [12,36]. These phages with PAM and protospacer point mutations can initially escape CRISPR-Cas interference and appeared to have no detectable effect on phage infectivity. However, many of these mutants are likely to trigger primed adaptation, which will ultimately result in the acquisition of multiple new spacers targeting those phages [20,21].
CRISPR-Cas immunity was elevated by multiple spacers, which is likely due to the decreased probability of phage escape and the higher proportion of Cas effector complexes loaded with crRNAs complementary to the invader genome. All escape phages isolated from strains with multiple spacers contained internal deletions, with some up to approximately 2 kb. Past studies have shown that escape from CRISPR-Cas adaptive immunity can be mediated through deletions of up to 471 bp [11,15,18]. The emergence of ϕTE escape phages with deletions in their tail fibre genes fit with observations seen in members of the Siphoviridae, where deletions are mediated by sequences of microhomology and the collagen-like repeats [52,54,55]. The collagen-like repeats are recombination hotspots due to their repetitive nature, and consequently, tail fibre genes are often mosaic, consisting of sequences from different phages [51,56,57]. High levels of recombination in the cognate tail fibre genes suggest that they are under strong evolutionary pressure due to their role in recognizing and binding to host receptors [56,57], which mutate in response to phage predation [58]. In our study, when compared with the tail fibre gene, much smaller deletions were detected in the tape measure protein, indicating a reduced capacity to tolerate deletions. Although deletions have been studied in the gene encoding the tape measure protein of phages λ [47,49,50] and T4 [48], long tails are thought to be important for efficient DNA injection [49] and most phage tape measure protein mutants are non-viable [48–50]. Since the length of the tape measure protein is proportional to the length of the tail [47,49,50], we predicted, and demonstrated, that the mutants selected by CRISPR-Cas had shorter tails. Owing to the structural and functional importance of the tail fibres and tape measure, the mutant genes encoding these proteins remained in-frame in the deletion escape mutants. Although these deletions provided a clear benefit on hosts bearing spacers targeting these regions, there were some fitness costs incurred by these deletions in terms of the ability of these phages to bind and infect the wild-type host. Taken together, our results support a model whereby the acquisition of multiple spacers via priming can lead to the selection of evolved phages carrying deletions that can influence phage morphology and fitness.
We observed that phages were able to replicate, albeit poorly, on most of the anti-ϕ strains without heritably escaping the P. atrosepticum type I-F CRISPR-Cas system. The particular phage genes that were targeted influenced whether genotypic escape phages were detected. While large deletions were detected in the ϕTE tail fibre gene, no genotypic escape phages were detected on either of the ϕM1 genes targeted. By contrast, point mutations that led to genotypic escape emerged in the ϕTE tape measure and DNA polymerase genes of the phages when targeted in these regions by single spacers. This suggests that different phage genes are less tolerant to mutations. Differences in mutational tolerance will be influenced by both the essentiality of the genes and the frequency and position of sequences of recombinogenic microhomology that can mediate deletion formation.
Finally, the ability of type I CRISPR-Cas systems to rapidly gain phage resistance through priming [20–22,28,59] might mean that escape by point mutation is merely a short-term solution. Indeed, although overcoming single spacers through point mutations may be less detrimental to phage fitness, it is likely to result in enhanced primed CRISPR resistance against the phage. In response to priming, phage deletions appear to be a major route enabling survival when exposed to the challenge of CRISPR-Cas immunity, despite the potential for reduced function of the target gene, imposing a potential fitness cost for the phage. To conclude, single or multiple spacers, common to naive and primed acquisition, present biologically different selection pressures on phages. The selection of deletion escape phages to overcome primed acquisition demonstrates that CRISPR-Cas can be a powerful driver of genetic and structural diversity in phages.
Supplementary Material
Acknowledgements
We thank members of the Fineran laboratory for useful discussions, Simon Jackson and Hannah Hampton for comments on the manuscript and Vivienne Young for ultracentrifuge training.
Data accessibility
The Cryo-EM map of the phage icosahedral capsid has been deposited in the Electron Microscopy Data Bank, accession number EMD-0558.
Competing interests
We declare we have no competing interests.
Funding
This work was supported by a Rutherford Discovery Fellowship from the Royal Society of New Zealand (RSNZ) (to P.C.F.), the Marsden Fund, RSNZ, the Bio-protection Research Centre (Tertiary Education Commission), a University of Otago Doctoral Scholarship (to B.N.J.W.), University of Otago Division of Health Sciences Career Development Post-doctoral Fellowship and a Veni grant (grant no. 016.Veni.171.047) from the The Netherlands Organization for Scientific Research (to R.H.J.S.). M.W. was supported by Okinawa Institute of Science and Technology (OIST) and G.P.C.S. was supported by the BBSRC, UK (awards BB/H002677/1 and BB/G000298/1).
References
- 1.Suttle CA. 2005. Viruses in the sea. Nature 437, 356–361. ( 10.1038/nature04160) [DOI] [PubMed] [Google Scholar]
- 2.Drake JW, Charlesworth B, Charlesworth D, Crow JF. 1998. Rates of spontaneous mutation. Genetics 148, 1667–1686. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Dy RL, Richter C, Salmond GPC, Fineran PC. 2014. Remarkable mechanisms in microbes to resist viral infections. Annu. Rev. Virol. 1, 307–331. ( 10.1146/annurev-virology-031413-085500) [DOI] [PubMed] [Google Scholar]
- 4.Labrie SJ, Samson JE, Moineau S. 2010. Bacteriophage resistance mechanisms. Nat. Rev. Microbiol. 8, 317–327. ( 10.1038/nrmicro2315) [DOI] [PubMed] [Google Scholar]
- 5.Jackson SA, McKenzie RE, Fagerlund RD, Kieper SN, Fineran PC, Brouns SJ. 2017. CRISPR-Cas: adapting to change. Science 356, eaal5056 ( 10.1126/science.aal5056) [DOI] [PubMed] [Google Scholar]
- 6.Brouns SJ, et al. 2008. Small CRISPR RNAs guide antiviral defense in prokaryotes. Science 321, 960–964. ( 10.1126/science.1159689) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Barrangou R, Fremaux C, Deveau H, Richards M, Boyaval P, Moineau S, Romero DA, Horvath P. 2007. CRISPR provides acquired resistance against viruses in prokaryotes. Science 315, 1709–1712. ( 10.1126/science.1138140) [DOI] [PubMed] [Google Scholar]
- 8.Hille F, Charpentier E. 2016. CRISPR-Cas: biology, mechanisms and relevance. Phil. Trans. R Soc. B 371, 20150496 ( 10.1098/rstb.2015.0496) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Barrangou R, Horvath P. 2017. A decade of discovery: CRISPR functions and applications. Nat. Microbiol. 2, 17092 ( 10.1038/nmicrobiol.2017.92) [DOI] [PubMed] [Google Scholar]
- 10.Semenova EV, Jore MM, Westra ER, Oost VDJ, Brouns SJJ. 2011. Interference by clustered regularly interspaced short palindromic repeat (CRISPR) RNA is governed by a seed sequence. Proc. Natl Acad. Sci. USA 108, 10 098–18 424. ( 10.1073/pnas.1104144108) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Strotskaya A, Savitskaya E, Metlitskaya A, Morozova N, Datsenko KA, Semenova E, Severinov K. 2017. The action of Escherichia coli CRISPR-Cas system on lytic bacteriophages with different lifestyles and development strategies. Nucleic Acids Res. 45, 1946–1957. ( 10.1093/nar/gkx042) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Cady KC, Bondy-Denomy J, Heussler GE, Davidson AR, O'Toole GA. 2012. The CRISPR/Cas adaptive immune system of Pseudomonas aeruginosa mediates resistance to naturally occurring and engineered phages. J. Bacteriol. 194, 5728–5738. ( 10.1128/JB.01184-12) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Westra ER, et al. 2015. Parasite exposure drives selective evolution of constitutive versus inducible defense. Curr. Biol. 25, 1043–1049. ( 10.1016/j.cub.2015.01.065) [DOI] [PubMed] [Google Scholar]
- 14.Tao P, Wu X, Rao V. 2018. Unexpected evolutionary benefit to phages imparted by bacterial CRISPR-Cas9. Sci. Adv. 4, eaar4134 ( 10.1126/sciadv.aar4134) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Deveau H, Barrangou R, Garneau JE, Labonte J, Fremaux C, Boyaval P, Romero DA, Horvath P, Moineau S. 2008. Phage response to CRISPR-encoded resistance in Streptococcus thermophilus. J. Bacteriol. 190, 1390–1400. ( 10.1128/JB.01412-07) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Levin BR, Moineau S, Bushman M, Barrangou R. 2013. The population and evolutionary dynamics of phage and bacteria with CRISPR-mediated immunity. PLoS Genet. 9, e1003312 ( 10.1371/journal.pgen.1003312) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Sun CL, Barrangou R, Thomas BC, Horvath P, Fremaux C, Banfield JF. 2013. Phage mutations in response to CRISPR diversification in a bacterial population. Environ. Microbiol. 15, 463–470. ( 10.1111/j.1462-2920.2012.02879.x) [DOI] [PubMed] [Google Scholar]
- 18.Martel B, Moineau S. 2014. CRISPR-Cas: an efficient tool for genome engineering of virulent bacteriophages. Nucleic Acids Res. 42, 9504–9513. ( 10.1093/nar/gku628) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Paez-Espino D, Sharon I, Morovic W, Stahl B, Thomas BC, Barrangou R, Banfield JF. 2015. CRISPR immunity drives rapid phage genome evolution in Streptococcus thermophilus. mBio 6, e00262–15 ( 10.1128/mBio.00262-15) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Datsenko KA, Pougach K, Tikhonov A, Wanner BL, Severinov K, Semenova E. 2012. Molecular memory of prior infections activates the CRISPR/Cas adaptive bacterial immunity system. Nat. Commun. 3, 945 ( 10.1038/ncomms1937) [DOI] [PubMed] [Google Scholar]
- 21.Swarts DC, Mosterd C, van Passel MW, Brouns SJ. 2012. CRISPR interference directs strand specific spacer acquisition. PLoS ONE 7, e35888 ( 10.1371/journal.pone.0035888) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Staals RH, Jackson SA, Biswas A, Brouns SJ, Brown CM, Fineran PC. 2016. Interference-driven spacer acquisition is dominant over naive and primed adaptation in a native CRISPR-Cas system. Nat. Commun. 7, 12853 ( 10.1038/ncomms12853) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Nicholson TJ, Jackson SA, Croft BI, Staals RHJ, Fineran PC, Brown CM. 2018. Bioinformatic evidence of widespread priming in Type I and II CRISPR-Cas systems. RNA Biol. 18, 1–11. ( 10.1080/15476286.2018.1509662) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Przybilski R, Richter C, Gristwood T, Clulow JS, Vercoe RB, Fineran PC. 2011. Csy4 is responsible for CRISPR RNA processing in Pectobacterium atrosepticum. RNA Biol. 8, 517–528. ( 10.4161/rna.8.3.15190) [DOI] [PubMed] [Google Scholar]
- 25.Richter C, Fineran PC. 2013. The subtype I-F CRISPR-Cas system influences pathogenicity island retention in Pectobacterium atrosepticum via crRNA generation and Csy complex formation. Biochem. Soc. Trans. 41, 1468–1474. ( 10.1042/BST20130151) [DOI] [PubMed] [Google Scholar]
- 26.Bell KS, et al. 2004. Genome sequence of the enterobacterial phytopathogen Erwinia carotovora subsp. atroseptica and characterization of virulence factors. Proc. Natl Acad. Sci. USA 101, 11 105–11 110. ( 10.1073/pnas.0402424101) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Pawluk A, Staals RHJ, Taylor C, Watson BNJ, Saha S, Fineran PC, Maxwell KL, Davidson AR. 2016. Inactivation of CRISPR-Cas systems by anti-CRISPR proteins in diverse bacterial species. Nat. Microbiol. 1, 16085 ( 10.1038/nmicrobiol.2016.85) [DOI] [PubMed] [Google Scholar]
- 28.Richter C, Dy RL, McKenzie RE, Watson BN, Taylor C, Chang JT, McNeil MB, Staals RH, Fineran PC. 2014. Priming in the Type I-F CRISPR-Cas system triggers strand-independent spacer acquisition, bi-directionally from the primed protospacer. Nucleic Acids Res. 42, 8516–8526. ( 10.1093/nar/gku527) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Smith MCM, Burns N, Sayers JR, Sorrell JA, Casjens SR, Hendrix RW, Engel J. 1998. Bacteriophage collagen. Science 279, 1831 ( 10.1126/science.279.5358.1831g) [DOI] [PubMed] [Google Scholar]
- 30.Ghosh N, McKillop TJ, Jowitt TA, Howard M, Davies H, Holmes DF, Roberts IS, Bella J.. 2012. Collagen-like proteins in pathogenic E. coli strains. PLoS ONE 7, e37872 ( 10.1371/journal.pone.0037872) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Mondal SI, Islam MR, Sawaguchi A, Asadulghani M, Ooka T, Gotoh Y, Kasahara Y, Ogura Y, Hayashi T. 2016. Genes essential for the morphogenesis of the Shiga toxin 2-transducing phage from Escherichia coli O157:H7. Sci. Rep. 6, 39036 ( 10.1038/srep39036) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Blower TR, et al. 2017. Evolution of Pectobacterium bacteriophage phiM1 to escape two bifunctional type III toxin-antitoxin and abortive infection systems through mutations in a single viral gene. Appl. Environ. Microbiol. 83, e03229–16 ( 10.1128/AEM.03229-16) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Marchler-Bauer A, et al. 2005. CDD: a Conserved Domain Database for protein classification. Nucleic Acids Res. 33(Database issue), D192–D196. ( 10.1093/nar/gki069) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Blower TR, Evans TJ, Przybilski R, Fineran PC, Salmond GPC. 2012. Viral evasion of a bacterial suicide system by RNA-based molecular mimicry enables infectious altruism. PLoS Genet. 8, e1003023 ( 10.1371/journal.pgen.1003023) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Toth IK, Mulholland V, Cooper V, Bentley S, Shih YL, Perombelon MCM, Salmond GPC. 1997. Generalized transduction in the potato blackleg pathogen Erwinia carotovora subsp. atroseptica by bacteriophage phiM1. Microbiology 143, 2433 ( 10.1099/00221287-143-7-2433) [DOI] [PubMed] [Google Scholar]
- 36.Vercoe RB, et al. 2013. Cytotoxic chromosomal targeting by CRISPR/Cas systems can reshape bacterial genomes and expel or remodel pathogenicity islands. PLoS Genet. 9, e1003454 ( 10.1371/journal.pgen.1003454) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Kremer JR, Mastronarde DN, McIntosh JR. 1996. Computer visualization of three-dimensional image data using IMOD. J. Struct. Biol. 116, 71–76. ( 10.1006/jsbi.1996.0013) [DOI] [PubMed] [Google Scholar]
- 38.Carragher B, Kisseberth N, Kriegman D, Milligan RA, Potter CS, Pulokas J, Reilein A. 2000. Leginon: an automated system for acquisition of images from vitreous ice specimens. J. Struct. Biol. 132, 33–45. ( 10.1006/jsbi.2000.4314) [DOI] [PubMed] [Google Scholar]
- 39.Zheng SQ, Palovcak E, Armache J-P, Verba KA, Cheng Y, Agard DA. 2017. MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy. Nat. Methods 14, 331–332. ( 10.1038/nmeth.4193) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Mindell JA, Grigorieff N. 2003. Accurate determination of local defocus and specimen tilt in electron microscopy. J. Struct. Biol. 142, 334–347. ( 10.1016/S1047-8477(03)00069-8) [DOI] [PubMed] [Google Scholar]
- 41.Grant T, Rohou A, Grigorieff N. 2018. cisTEM, user-friendly software for single-particle image processing. eLife 7, e35383 ( 10.7554/eLife.35383) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Pettersen EF, Goddard TD, Huang CC, Couch GS, Greenblatt DM, Meng EC, Ferrin TE. 2004. UCSF Chimera—a visualization system for exploratory research and analysis. J. Comput. Chem. 25, 1605–1612. ( 10.1002/jcc.20084) [DOI] [PubMed] [Google Scholar]
- 43.Landsberger M, Gandon S, Meaden S, Rollie C, Chevallereau A, Chabas H, Buckling A, Westra ER, van Houte S. 2018. Anti-CRISPR phages cooperate to overcome CRISPR-Cas immunity. Cell 174, 908–916. ( 10.1016/j.cell.2018.05.058) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Borges AL, Zhang JY, Rollins MF, Osuna BA, Wiedenheft B, Bondy-Denomy J. 2018. Bacteriophage cooperation suppresses CRISPR-Cas3 and Cas9 immunity. Cell 174, 917–925. ( 10.1016/j.cell.2018.06.013) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Hynes AP, Rousseau GM, Lemay ML, Horvath P, Romero DA, Fremaux C, Moineau S. 2017. An anti-CRISPR from a virulent streptococcal phage inhibits Streptococcus pyogenes Cas9. Nat. Microbiol. 2, 1374–1380. ( 10.1038/s41564-017-0004-7) [DOI] [PubMed] [Google Scholar]
- 46.Singer BS, Westlye J. 1988. Deletion formation in bacteriophage T4. J. Mol. Biol. 202, 233–243. ( 10.1016/0022-2836(88)90454-8) [DOI] [PubMed] [Google Scholar]
- 47.Katsura I, Hendrix RW. 1984. Length determination in bacteriophage lambda tails. Cell 39, 691–698. ( 10.1016/0092-8674(84)90476-8) [DOI] [PubMed] [Google Scholar]
- 48.Abuladze NK, Gingery M, Tsai J, Eiserling FA. 1994. Tail length determination in bacteriophage T4. Virology 199, 301–310. ( 10.1006/viro.1994.1128) [DOI] [PubMed] [Google Scholar]
- 49.Katsura I. 1987. Determination of bacteriophage lambda tail length by a protein ruler. Nature 327, 73–75. ( 10.1038/327073a0) [DOI] [PubMed] [Google Scholar]
- 50.Mahony J, Alqarni M, Stockdale S, Spinelli S, Feyereisen M, Cambillau C, Sinderen DV. 2016. Functional and structural dissection of the tape measure protein of lactococcal phage TP901-1. Sci. Rep. 6, 36667 ( 10.1038/srep36667) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Haggard-Ljungquist E, Halling C, Calendar R. 1992. DNA sequences of the tail fiber genes of bacteriophage P2: evidence for horizontal transfer of tail fiber genes among unrelated bacteriophages. J. Bacteriol. 174, 1462–1477. ( 10.1128/jb.174.5.1462-1477.1992) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Desiere F, Lucchini S, Brüssow H. 1998. Evolution of Streptococcus thermophilus bacteriophage genomes by modular exchanges followed by point mutations and small deletions and insertions. Virology 241, 345–356. ( 10.1006/viro.1997.8959) [DOI] [PubMed] [Google Scholar]
- 53.Bull JJ, Badgett MR, Rokyta D, Molineux IJ. 2003. Experimental evolution yields hundreds of mutations in a functional viral genome. J. Mol. Evol. 57, 241–248. ( 10.1007/s00239-003-2470-1) [DOI] [PubMed] [Google Scholar]
- 54.Duplessis M, Moineau S. 2001. Identification of a genetic determinant responsible for host specificity in Streptococcus thermophilus bacteriophages. Mol. Microbiol. 41, 325–336. ( 10.1046/j.1365-2958.2001.02521.x) [DOI] [PubMed] [Google Scholar]
- 55.Boyce JD, Davidson BE, Hillier AJ. 1995. Spontaneous deletion mutants of the Lactococcus lactis temperate bacteriophage BK5-T and localization of the BK5-T attP site. Appl. Environ. Microbiol. 61, 4105–4109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Tetart F, Desplats C, Krisch HM. 1998. Genome plasticity in the distal tail fiber locus of the T-even bacteriophage: recombination between conserved motifs swaps adhesin specificity. J. Mol. Biol. 282, 543–556. ( 10.1006/jmbi.1998.2047) [DOI] [PubMed] [Google Scholar]
- 57.Hendrix RW. 2002. Bacteriophages: evolution of the majority. Theor. Popul. Biol. 61, 471–480. ( 10.1006/tpbi.2002.1590) [DOI] [PubMed] [Google Scholar]
- 58.Clement JM, Lepouce E, Marchal C, Hofnung M. 1983. Genetic study of a membrane protein: DNA sequence alterations due to 17 lamB point mutations affecting adsorption of phage lambda. EMBO J. 2, 77–80. ( 10.1002/j.1460-2075.1983.tb01384.x) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Fineran PC, Gerritzen MJH, Suárez-Diez M, Künne T, Boekhorst J, van Hijum SAFT, Staals RHJ, Brouns SJJ. 2014. Degenerate target sites mediate rapid primed CRISPR adaptation. Proc. Natl Acad. Sci. USA 111, E1629 ( 10.1073/pnas.1400071111) [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The Cryo-EM map of the phage icosahedral capsid has been deposited in the Electron Microscopy Data Bank, accession number EMD-0558.