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eLife logoLink to eLife
. 2020 Apr 24;9:e53200. doi: 10.7554/eLife.53200

Dominant Vibrio cholerae phage exhibits lysis inhibition sensitive to disruption by a defensive phage satellite

Stephanie G Hays 1, Kimberley D Seed 1,2,
Editors: Wendy S Garrett3, Kim Orth4
PMCID: PMC7182436  PMID: 32329714

Abstract

Bacteria, bacteriophages that prey upon them, and mobile genetic elements (MGEs) compete in dynamic environments, evolving strategies to sense the milieu. The first discovered environmental sensing by phages, lysis inhibition, has only been characterized and studied in the limited context of T-even coliphages. Here, we discover lysis inhibition in the etiological agent of the diarrheal disease cholera, Vibrio cholerae, infected by ICP1, a phage ubiquitous in clinical samples. This work identifies the ICP1-encoded holin, teaA, and antiholin, arrA, that mediate lysis inhibition. Further, we show that an MGE, the defensive phage satellite PLE, collapses lysis inhibition. Through lysis inhibition disruption a conserved PLE protein, LidI, is sufficient to limit the phage produced from infection, bottlenecking ICP1. These studies link a novel incarnation of the classic lysis inhibition phenomenon with conserved defensive function of a phage satellite in a disease context, highlighting the importance of lysis timing during infection and parasitization.

eLife digest

Bacteriophages, or phages for short, are viruses that infect bacteria, take over the molecular machinery inside the bacterial cells and use it to make more copies of themselves. The bacteriophages then break open, or “lyse”, the bacterial cell, releasing the viral copies into the environment, ready to infect more bacteria nearby.

Hays and Seed set out to understand how the timing of lysis can impact the bacteriophage, using the bacterium Vibrio cholerae – which causes cholera – and its bacteriophage called ICP1. This analysis revealed that the ICP1 phage uses a gene called teaA as the first step in the lysis of bacterial cells. The ICP1 phage can also delay that lysis with a second gene called arrA. This “lysis inhibition” gives the bacteriophages more time to make copies of themselves inside the bacterium, so even more are released when the cell finally breaks open.

Hays and Seed also found that the Vibrio cholerae cells can defend themselves against lysis inhibition using a single gene called lidI. This gene is part of a system that defends against bacteriophage attack called the PLE, which consists of several genes of previously unknown function. Hays and Seed saw that the lidI gene disrupts lysis inhibition, speeding up the bursting of infected bacterial cells, which in turn decreases the number of bacteriophages produced from each infected cell.

Lysis inhibition had previously only been observed in the bacterium Escherichia coli. Now that researchers know that ICP1 bacteriophages also delay lysis in Vibrio cholerae, this might lead to more studies exploring this process in samples from cholera patients. Further studies could test to see if the phenomenon of lysis inhibition may also exist in yet more bacterial species.

Introduction

Following the discovery of bacteriophages (D’Herelle, 1917; Twort, 1915), Escherichia coli’s T1 through T7 phages were widely accepted as model systems (Keen, 2015) and T-even phages were used to determine mutation manifestation at the molecular level, gene topology, and that fact that nucleic acids are decoded in triplets (Benzer, 1961; Crick et al., 1961). Early geneticists observed an interesting phenotype in rapid lysing T-even mutants, called r mutants, which produce plaques with clear edges while plaques of wild type (WT; all acronyms are expanded in Table 1) T-even phages have fuzzy edges (Hershey, 1946; Paddison et al., 1998). Edge fuzziness is the consequence of inhibited cell lysis triggered by the adsorption of additional phage after initial infection. This ‘superinfection’ also stabilizes infected cells as measured by optical density (Doermann, 1948). The phenomenon, termed lysis inhibition (LIN), is significant for two reasons (Figure 1A and B): it allows for prolonged production of progeny phage resulting in larger phage bursts, and it protects progeny phage from adsorbing to infected cells, which are not productive hosts for secondarily adsorbed phages (Abedon, 1990; Abedon, 2019; Doermann, 1948). Consequently, LIN is considered an important adaptation in environments where host bacteria are scarce but free virions are plentiful (Abedon, 1990; Abedon, 2019). Despite being discovered over half a century ago, LIN has only been well characterized in T-even coliphages where it is mediated by holins and antiholins (Chen and Young, 2016; Paddison et al., 1998; Ramanculov and Young, 2001). Holins are the first step in canonical holin-endolysin-spanin lysis systems in Gram-negative bacteria (Cahill and Young, 2019; Young, 2014). Holins accumulate in the inner membrane until they trigger, making holes that enable endolysin digestion of the peptidoglycan after which spanins fuse the inner and outer membranes to complete cell lysis. During lysis inhibition, antiholins inhibit holin triggering thereby stopping the progression towards lysis (Chen and Young, 2016; Paddison et al., 1998; Ramanculov and Young, 2001).

Table 1. Acronyms.

All the acronyms used in this work are listed in alphabetical order.

Acronym Meaning
DiOC2(3) 3,3’-diethloxacarbocyanine iodide
DNP 2,4-dinitrophenol
EOP efficiency of plaquing
EV empty vector
gp gene product
IM inner membrane
LIN lysis inhibition
MGE mobile genetic element
MOI multiplicity of infection
MOSI multiplicity of superinfection
OD optical density
OM outer membrane
ORF open reading frame
PG peptidoglycan
PLE phage-inducible chromosomal island-like element
SaPI Staphylococcus aureus pathogenicity island
WT wild type

Figure 1. Characterizing lysis inhibition.

Figure 1.

Schematic of T4 infection of E. coli. (A) At low multiplicities of infection (MOI), available E. coli are readily infected by T4 (red). Under these conditions, an infected cell is hijacked to produce progeny phage and lyses releasing the phages into the environment where they go on to infect neighboring cells. (B) At high MOIs, phage outnumber the hosts resulting in initial infection by phage followed by secondary superinfection (second phage infecting the same cell). Superinfection delays lysis through LIN, enabling the production of more virions and protecting progeny phage from an environment devoid of uninfected hosts. (C) ICP1 exhibits LIN at intermediate multiplicities of infection and upon superinfection. PLE (-) V. cholerae infected with ICP1 at MOI = 1 demonstrate a lysis event 20 minutes post-infection (black arrow) before the optical density (OD600) stabilizes. Superinfection (orange arrow) of a culture four minutes post-infection with ICP1 at MOI = 1 with ICP1 at a multiplicity of superinfection (MOSI) of 5 triggers lysis inhibition and stabilizes the OD600 before a lysis event can occur. Data from three biological replicates are shown. (D) ICP1 LIN is sensitive to chemical collapse. PLE (-) V. cholerae infected with ICP1 at MOI = 5 maintain OD600 for an extended period but the OD600 collapses when 2,4-dinitrophenol (DNP) is added (black arrow). Data from four biological replicates are shown. For all graphs, points show the average of replicates; shading shows the standard deviation.

Figure 1—source data 1. This spreadsheet contains the data used to create Figure 1C and D.

Phages are abundant in natural environments including marine ecosystems (Middelboe and Brussaard, 2017) and gut microbiomes (Shkoporov and Hill, 2019), potentially making LIN a pertinent state for phages infecting many different bacteria, including Vibrio cholerae. V. cholerae poses a substantial global health burden as the causative agent of the diarrheal disease cholera (Ali et al., 2015). In both aquatic reservoirs and stool samples from cholera patients, V. cholerae co-occurs with predatory phages. Several studies have implicated V. cholerae phages in playing a role in modulating cholera outbreaks (D'Herelle and Malone, 1927; Faruque et al., 2005a; Faruque et al., 2005b; Jensen et al., 2006) leading to proposals of phage cocktails as prophylactics to curb cholera transmission (Yen et al., 2017). The predominant phage in cholera patient samples is ICP1, a lytic myovirus (Seed et al., 2011) that is locked in a dynamic arms race with no clear winner as both V. cholerae and ICP1 continue to be isolated from patients in the cholera endemic region of Bangladesh (Angermeyer et al., 2018; McKitterick et al., 2019a; McKitterick et al., 2019a; Seed et al., 2011). Added into the evolutionary fray is a parasitic phage satellite called PLE (phage-inducible chromosomal island-like element) found integrated in the chromosome of clinical V. cholerae isolates (McKitterick et al., 2019b; O'Hara et al., 2017; Seed et al., 2013). Previous analysis of isolates dating back to 1949 revealed a succession of five distinct PLEs (PLE 1 through PLE 5 of which PLE 1 is the most recently circulating PLE) in V. cholerae which possess shared genomic architecture. Each PLE provides V. cholerae with a clear fitness benefit in the defense against ICP1 as PLE abolishes phage production (O'Hara et al., 2017). Upon infection, PLE excises from the bacterial chromosome, harnessing an ICP1-encoded protein as the trigger (McKitterick and Seed, 2018), replicates using both PLE and ICP1-encoded products (Barth et al., 2020; McKitterick et al., 2019a), and accelerates cell lysis after forming particles hypothesized to be made by hijacking ICP1 structural components to transduce the PLE genome to naïve recipient cells (O'Hara et al., 2017). As no infectious ICP1 are produced, PLE defends populations of V. cholerae from ICP1 attack, functioning as an abortive infection system. In the face of this anti-phage element, ICP1 acquired a Type I-F CRISPR-Cas system to target PLE in a sequence-specific manner, restoring ICP1 progeny phage production and overcoming PLE (McKitterick et al., 2019b; Seed et al., 2013). While the full extent of ICP1, PLE, and V. cholerae interactions are unknown and continuing to evolve, efforts to understand how PLEs restrict ICP1 have yet to identify any single PLE open reading frame necessary for inhibition (via testing of PLE-encoded repA, which is necessary for PLE replication [Barth et al., 2020] and int, which is required for PLE excision [McKitterick and Seed, 2018]). From the only characterized processes, namely excision and replication, it is clear that PLE requires phage-encoded products, consequently depending on ICP1 for horizontal transmission; however, uncharacteristic of other phage satellites like the well characterized Staphylococcus aureus pathogenicity islands (SaPIs) which decrease but do not eliminate the production of progeny virions, PLE completely abolishes ICP1 production – a balancing act that likely requires the exploitation of select products at exact times during the 20 minutes before PLE-mediated accelerated cell lysis.

The accelerated cell lysis program in V. cholerae harboring PLE led us to investigate the prolonged infection of ICP1 in strains without PLE where we discovered that ICP1 exhibits lysis inhibition. In this work we report the first mechanistic characterization of archetypal LIN outside of E. coli and we reveal ICP1 LIN mechanisms in V. cholerae by identifying previously uncharacterized ICP1 genes with holin and antiholin activity, termed teaA and arrA respectively. Subsequently, we discovered a single PLE-encoded gene we call lidI for lysis inhibition disruption that is sufficient to collapse ICP1-mediated lysis inhibition. All PLEs encode LidI, highlighting a conserved strategy PLEs may use to antagonize an aspect of the phage lifecycle not previously known to be targeted by parasitic satellites. While we cannot be sure of LidI function in the context of the PLE, it alone is sufficient to decrease the yield of ICP1 from infected V. cholerae and impose an evolutionary bottleneck on phage populations.

Results

ICP1 exhibits lysis inhibition

After infection at low multiplicity of infection (MOI; MOI = 0.1), ICP1 completes virion production within 20–25 minutes in PLE (-) V. cholerae (O'Hara et al., 2017). This timeframe is markedly abbreviated with respect to the 90 minutes that pass before visible lysis of the same host infected at a high MOI (MOI = 5) (O'Hara et al., 2017). This incongruity prompted us to test ICP1 infections at intermediate multiplicities of infection. When infecting PLE (-) V. cholerae with ICP1 at MOI = 1, we observed an early lysis event 20 minutes post-infection after which the optical density of the culture stabilized (Figure 1C). Such lysis kinetics are consistent with canonical LIN by T-even coliphages wherein a portion of infected cells release progeny phages triggering LIN in the remaining population (Doermann, 1948). These similarities led us to hypothesize that ICP1 exhibits LIN in V. cholerae.

During canonical LIN, superinfection, the secondary adsorption of phages after initial phage infection, stabilizes the optical density of infected E. coli cultures because cells stay intact instead of lysing (Figure 1B). To determine whether superinfection by ICP1 of PLE (-) V. cholerae shares this characteristic, we infected cultures with ICP1 (MOI = 1), let phage adsorb for four minutes, then superinfected the culture with ICP1 (multiplicity of superinfection; MOSI = 5). As expected of a phage exhibiting LIN, the culture optical density was stabilized, eliminating the early lysis event (Figure 1C).

Previously characterized lysis inhibition in E. coli is sensitive to the membrane proton motive force and is disrupted by the addition of energy poisons. One such poison, the ionophore 2,4-dinitrophenol (DNP), collapses the proton motive force and subsequently disrupts LIN by T-even phages, causing rapid lysis of infected E. coli (Abedon, 1992; Heagy, 1950). To test if ICP1 LIN is similarly linked to proton motive force, we exposed PLE (-) V. cholerae infected at a high MOI (MOI = 5) to 2,4-dinitrophenol (Figure 1D) and observed the expected crash in optical density, further supporting the conclusion that ICP1 exhibits LIN in V. cholerae.

ICP1 lysis inhibition is mediated by the putative holin, teaA, and the putative antiholin, arrA

Although genomes of ICP1 isolates from cholera patient stool are abundant, the genes involved in ICP1-mediated lysis have not been identified. To characterize the mechanism underlying ICP1 lysis inhibition, we endeavored to find ICP1’s holin and antiholin (Figure 2A). Holins are diverse proteins, however, they all include at least one transmembrane domain (Wang et al., 2000). Further, we hypothesized that the holin would be conserved in isolates over time because lysis timing is key to phage fitness. As a result we narrowed our search to gene products containing a predicted transmembrane domain that were conserved in previously analyzed ICP1 isolates (Angermeyer et al., 2018) leaving us with three candidate gene products: Gp137-Gp139 (Figure 2B; further described in Supplementary file 1). Analysis of these proteins using remote homology and synteny via Phagonaute identified the DUF3154 Pfam (reclassified as GTA_holin_3TM (PF11351); Delattre et al., 2016; El-Gebali et al., 2019; Sonnhammer et al., 1997) in ICP1 Gp137, which we have since named TeaA.

Figure 2. Identification and characterization of ICP1’s holin TeaA.

Figure 2.

(A) Schematic of canonical T4 lysis in E. coli. Lysis occurs in four steps with a potential delay caused by lysis inhibition. Step one: Phage encoded proteins including holins, endolysins, and spanins accumulate in the cell. In the event of superinfection, antiholins halt the lysis program causing lysis inhibition (LIN). Step two: Holins are triggered collapsing the proton motive force and forming holes in the inner membrane (IM) releasing endolysins to the periplasm. Step three: The peptidoglycan (PG) is degraded by endolysins. Step four: Spanins fuse the inner and outer membrane (OM). (B) Transmembrane domains (grey bars) were predicted in three gene products (gp) in a conserved locus of ICP1. (C) Relative state of the proton motive force as measured by the ratio of red to green arbitrary fluorescence units (AFU) from DiOC2(3) after ectopic gene expression. Points represent individual replicates; bar height is the average; error bars display the standard deviation of samples. Significance was calculated via one-way ANOVA followed by Dunnett’s test. ****p≤0.0001; **p≤0.01. (D) Chemical triggering with 2,4-dinitrophenol (arrow) after ectopic gene expression as measured by optical density (OD600). Points show the average of four replicates; shading shows the standard deviation.

Figure 2—source data 1. Fluorescence Source Data.
This spreadsheet contains the data used to create Figures 2C and 4C.
Figure 2—source data 2. DNP Source Data.
This spreadsheet contains the data used to create Figures 2D and 4D.

In E. coli, canonical holins including T4’s T-holin, accumulate in the membrane until they collapse the proton motive force and form pores or are triggered by an energy poison. Premature holin triggering results in loss of viability and commits the cell to eventual lysis, decreasing the optical density (Garrett and Young, 1982; Josslin, 1971). To experimentally test TeaA for holin activity, we exogenously expressed teaA in PLE (-) V. cholerae in the absence of phage and probed its ability to collapse the proton motive force and be triggered by an energy poison. We measured proton motive force using 3,3’-diethloxacarbocyanine iodide (DiOC2(3)), a fluorescent green membrane stain that forms red fluorescent aggregates in the presence of intact proton motive force (Kirchhoff and Cypionka, 2017; Novo et al., 1999). Upon induction, T-holinT4 and TeaA decreased the red fluorescence, consistent with holin activity, while the empty vector (EV) did not (Figure 2C). Holin activity by TeaA was further demonstrated by the rapid decrease in optical density after 2,4-dinitrophenol addition which was comparable to the decrease in optical density observed with T-holinT4 expressing V. cholerae after 2,4-dinitrophenol treatment (Figure 2D). Interestingly, though endolysin activity is described as necessary in holin-endolysin-spanin systems (Young, 2014), the holin TT4 or TeaA alone is enough to lyse V. cholerae under laboratory conditions. The similarities between TeaA activity and T4’s T-holin motivated the naming of teaA for the gene’s T-holin-esque activity.

Next, we sought to identify an antiholin in ICP1. Antiholins can interact with holins within the inner membrane (Moussa et al., 2012; Young, 2013), periplasm (Tran et al., 2005), or cytoplasm (Chen and Young, 2016). Because antiholins interacting directly with holins within the membrane contain transmembrane domains and previously characterized periplasmic antiholins contain transmembrane domains for tethering to the membrane and subsequent release into the periplasm (Tran et al., 2007), we continued to focus on the transmembrane domain-containing proteins in ICP1. Given that TeaA is conserved in ICP1 isolates, and lysis timing, which is fine-tuned by antiholins, is critical, we expected antiholins would also be conserved. Antiholins are often found near holin genes, in many cases utilizing an alternative start site within the holin sequence or occupying an overlapping open reading frame (Bläsi and Young, 1996; Graschopf and Bläsi, 1999). With these data in mind, we began to investigate Gp138, which we subsequently named ArrA, as a potential antiholin (Figure 2B).

The T4 antiholins, RIT4 and RIIIT4 were initially identified when mutations in these genes demonstrated a rapid lysis plaque morphology. Phages lacking functional antiholins form plaques with sharply defined edges because lysis inhibition no longer occurs. In an effort to find similar rapid-lysing ICP1 mutants with antiholin modifications, we challenged ICP1 with CRISPR-Cas (+) V. cholerae containing a spacer targeting arrA. We observed a mixture of edge phenotypes including clear-edged plaques (Figure 3A) and recovered the fuzzy-edged phenotype by expressing ArrA in trans (Figure 3B). We engineered a clean ΔarrA ICP1 strain to further confirm ArrA function. Of note, and consistent with arrA acting as an antiholin, we successfully constructed an arrA knockout demonstrating that, despite its conservation, arrA is not an essential gene. In support of ArrA acting as an antiholin whose absence results in rapid lysis, ΔarrA ICP1 forms plaques that have clear edges (Figure 3C).

Figure 3. Antiholin ArrA identification and characterization.

(A) Initial plaquing of wild type ICP1 on CRISPR-Cas (+) V. cholerae targeting arrA yielded a mixture of plaque phenotypes. (B) Plaques with clear edges can be found in populations of phage that overcame targeting with various mutations in arrA when plaqued on V. cholerae harboring an empty vector (EV) control (Top). Providing ArrA in trans restores the fuzzy edge phenotypes within the mutant population. (C) Using a repair template we created a clean arrA deletion and found that ΔarrA ICP1 yield plaques with clear edges. (D) During infection, once lysis begins as observed through changes in optical density (OD600), ΔarrA ICP1 causes rapid lysis consistent with abolishment of lysis inhibition. When ArrA is expressed in trans the lysis inhibition phenotype is rescued: a small lysis event is visible 40 minutes post-infection after which the optical density is stabilized for about 30 minutes. Consistent with ArrA restoring lysis inhibition, the stabilization of optical density is sensitive to chemical disruption of the proton motive force by 2,4-dinitrophenol (DNP) (arrow). Points show the average of four or greater replicates; shading shows the standard deviation. (E) BLASTP was used to find proteins with 20% identity to ArrA over 75% of the query; these homologs are displayed in an unrooted tree displaying the name of the phage the protein is found in. Colored blocks show the identity of the host that each phage infects, and yellow circles denote that a protein with homology to TeaA is present in the phage. A table with extended information for each homolog is available in Supplementary file 3.

Figure 3—source data 1. This spreadsheet contains the data used to create Figure 3D.

Figure 3.

Figure 3—figure supplement 1. Proteins with similarity to TeaA.

Figure 3—figure supplement 1.

This unrooted tree shows proteins identified with BLASTP that share 30% identity with TeaA over 85% of the query. The source of the sequence is shown in the label on the tree while colored blocks denote the host the phage infects or whether the sequence was found in a microbe or multispecies sequence entry and yellow circles denote that a protein with homology to ArrA is present in the phage.

T4 antiholin mutants demonstrate accelerated lysis kinetics in liquid culture (Chen and Young, 2016; Paddison et al., 1998), motivating us to test ICP1 ΔarrA in liquid cultures. Attempts to obtain high titer stocks of ΔarrA ICP1 were unsuccessful (consistent with decreased phage yields) hindering tests of infection at high multiplicities of infection. Instead, we infected PLE (-) V. cholerae with ΔarrA ICP1, waited for approximately two cycles of infection to complete, and then, once lysis began, we observed a rapid crash in optical density (Figure 3D). Such kinetics are in stark contrast to the more prolonged decline seen in wild type infections exhibiting LIN (Figure 1C). To be sure this was due to ArrA, we supplied ArrA in trans and recovered lysis kinetics characteristic of LIN in which the optical density was stabilized for 30 additional minutes before the culture cleared (Figure 3D). To further test that this stabilization of optical density by ArrA when supplied in trans was accomplished through LIN, we exposed cultures to 2,4-dinitrophenol disrupting the proton motive force and collapsing the culture (Figure 3D). These data support the conclusion that ArrA is an ICP1-encoded antiholin that helps regulate lysis timing.

BLASTP analysis of TeaA revealed homologs present throughout marine phage and bacterial genomes (Figure 3—figure supplement 1 and Supplementary file 2). ArrA yielded fewer homologs than TeaA (Supplementary file 3), however, using less stringent search parameters, we found that some organisms containing TeaA homologs also contain ArrA homologs, though these were limited to vibriophages (Figure 3E and Supplementary file 2 and 3). This suggests that there are potential homologous LIN systems - complete with both holin and antiholin - present in phages other than ICP1. In contrast, the presence of ArrA homologs without TeaA homologs raises the question: what are antiholins doing on their own? Perhaps they have evolved functionality with holins divergent enough to no longer be considered homologous to TeaA under our search parameters, or they have been coopted for divergent functions much like holins (Mehner-Breitfeld et al., 2018; Saier and Reddy, 2015).

PLE accelerates ICP1-mediated lysis

Thus far, characterization of all ICP1 LIN was done in the absence of PLE, a parasitic phage satellite of ICP1. Although the mechanisms that PLE deploys to inhibit and hijack ICP1 are not completely understood, V. cholerae lysis kinetics during high multiplicity infections vary depending on the presence of PLE. Consistent with previous experiments at high MOI (MOI = 5) (O'Hara et al., 2017), ICP1 infection of PLE (-) V. cholerae gradually lyses cultures reaching the lowest optical density ~90 minutes after infection. In contrast, upon infection of PLE 1 V. cholerae, rapid lysis starts 20 minutes post-infection (Figure 4A). This accelerated timescale could result from any combination of processes such as PLE deploying its own lysis machinery, PLE modulating the expression or stability of ICP1’s lysis machinery, or PLE inhibiting or collapsing LIN.

Figure 4. Accelerated lysis by PLE and LidI.

(A) The optical density (OD600) of ICP1 MOI = 5 infections was followed in PLE (-), PLE 1, and PLE 1 ΔlidI V. cholerae strains as well as V. cholerae strains containing induced empty vector (EV) and lidIPLE 1 constructs. Data points represent the average reading of n ≥ 3 replicates and shaded regions display the standard deviation of experiments. The LidI sequence is available in a PRALINE alignment shown in Figure 4—figure supplement 1. (B) Tagged LidIPLE 1 expressed in trans is readily observable by Western blot. Tagged LidIPLE 1 in the native PLE context is visible 18 to 20 minutes post infection with ICP1 at MOI = 2. Complete blot available in Figure 4—figure supplement 2. (C) Proton motive force as measured by the ratio of red to green arbitrary fluorescence units (AFU) from DiOC2(3) after ectopic gene expression. Points represent individual replicates; bar height is the average; error bars display the standard deviation of samples. NS signifies ‘no significance’ by two-tailed t-test. (D) Chemical holin triggering with 2,4-dinitrophenol (arrow) after ectopic gene expression as measured by OD600. Points show the average of four replicates; shading shows the standard deviation. (E) The OD600 of ICP1 at MOI = 5 infections was followed in PLE 4, and PLE 4 ΔlidI V. cholerae strains as well as V. cholerae containing the induced lidIPLE 4 construct. Data points represent the average reading of n ≥ 5 replicates and shaded regions display the standard deviation of experiments.

Figure 4—source data 1. This spreadsheet contains the data used to create Figure 4A and E.

Figure 4.

Figure 4—figure supplement 1. PRALINE alignment of LidI homologs.

Figure 4—figure supplement 1.

LidI homologs cluster neatly in two groups: (A) LidIPLE 1 and LidIPLE 2 are short 66 amino acid predicted proteins with four synonymous SNPs between them, while (B) lidIPLE 3, lidIPLE 4, and lidIPLE 5 encode larger proteins at 121 amino acids in length with three SNPs that result in two amino acid substitutions.
Figure 4—figure supplement 2. Complete Western Blot.

Figure 4—figure supplement 2.

Tagged LidIPLE 1 was visualized via western blot. EV and FLAG-LidIPLE 1 expressed in trans served as controls showing FLAG-LidIPLE 1 specificity as well as the presence of background bands. In PLE 1 V. cholerae, there is no detectable band similar in size to tagged LidIPLE 1 (as indicated by the arrow). When LidIPLE 1 is tagged in the native locus and strains are infected with ICP1, FLAG-LidIPLE 1 is visible late in infection (18 and 20 minutes post-infection).
Figure 4—figure supplement 3. Redundancy in the PLE.

Figure 4—figure supplement 3.

(A) PLE one and PLE 1 ΔlidI were infected with ICP1 (MOI = 1) followed by superinfection (MOSI = 5; arrow) showing lysis inhibition is collapsed by PLE in the face of exogenously added phage. Every predicted PLE ORF was knocked out and each resulting strain was tested for accelerated lysis after ICP1 infection (MOI = 5) (B) and ability to inhibit plaque formation (C).

To investigate the underpinnings of accelerated lysis in the presence of PLE, we scrutinized the PLE for potential lysis machinery. Initial analysis revealed no transmembrane domains in any of the ~25 predicted open reading frames in each of PLEs 1, 2, and 3. However, the earliest known PLEs, (PLEs 4 and 5) contain two ORFs with predicted transmembrane domains: ORF2 and ORF26. ORF2PLE 4/5 does not have homologs in PLEs 1 or 2, suggesting it is not a conserved player mediating accelerated lysis. Consequently, we focused on ORF26PLE 4/5. Although no homologs were immediately obvious, the synteny between PLEs suggested the presence of previously unannotated open reading frames in PLEs 1, 2, and 3 (namely ORF20.1PLE 1, ORF24.1PLE 2 and ORF24.1PLE 3), which are homologous to ORF26PLE 4/5 and contain transmembrane domains. We subsequently named these genes lidI and the homologs cluster into two groups: lidIPLE 1 and lidIPLE 2 encode for a 66 amino acid long protein, while lidIPLE 3, lidIPLE 4 and lidIPLE 5 encode larger proteins at 121 amino acids (Figure 4—figure supplement 1). These ORFs have no significant homology to other genes or predicted functional domains beyond their shared transmembrane domains.

Next, to confirm the expression of the newly discovered lidI genes, we endogenously tagged LidIPLE 1 and evaluated expression during ICP1 infection (Figure 4B and Figure 4—figure supplement 2). We could not visualize FLAG-LidIPLE 1 in the absence of phage infection; however, when infected by ICP1 at MOI = 2, FLAG-LidIPLE 1 was detectable by Western blot late in infection – 18 to 20 minutes post phage addition and immediately prior to the sudden decrease in OD characteristic of PLE-mediated accelerated lysis (Figure 4B and Figure 4—figure supplement 2).

After confirming lidIPLE 1 expression during ICP1 infection, we next sought to characterize LidIPLE 1 function in PLE (-) V. cholerae. During infection with ICP1, LidIPLE 1 was sufficient to recapitulate the PLE-mediated accelerated lysis phenotype (Figure 4A). This phenotype is consistent with lidIPLE 1 encoding a holin; however, expression of LidIPLE 1 at the same level of induction in the absence of phage did not alter cellular proton motive force or make cells susceptible to 2,4-dinitrophenol induced lysis (Figure 4C and D). These data suggest that LidIPLE 1 does not act as a canonical holin when expressed alone and that its ability to mediate cell lysis is dependent on the presence of ICP1.

Having demonstrated that LidIPLE 1 recapitulates PLE-mediated accelerated lysis, we wanted to determine if it was also necessary for this phenotype. Interestingly, however, when we deleted lidIPLE 1 from PLE 1 V. cholerae the lysis kinetics were unchanged (Figure 4A). To be sure the accelerated lysis is not the consequence of PLE inhibiting the production of phage that are necessary to superinfect cells, exogenous phage was added to PLE 1 and PLE 1 ΔlidI strains both of which still demonstrated accelerated lysis (Figure 4—figure supplement 3A). As these findings were at odds with the conservation of lidI homologs in all the known PLEs, we tested a representative of the other cluster of homologs, LidIPLE 4, for conserved function. Indeed, LidIPLE 4 is sufficient to cause accelerated lysis in the absence of PLE, however again we found that it is not necessary – PLE 4 ΔlidI V. cholerae strains still exhibit accelerated lysis (Figure 4E). To further investigate the role of individual genes in lysis timing, PLE 1 mutants containing a single knockout of each individual open reading frame were exposed to phage and each demonstrated accelerated lysis (Figure 4—figure supplement 3B). To identify other PLE-encoded factors sufficient to recapitulate PLE-mediated accelerated lysis, we expressed each PLE 1 ORF individually and challenged those strains with phage. This screen did not identify any other single genes sufficient to accelerate lysis, however, it is important to note that cryptic genes could be responsible, other accelerated lysis systems could require multiple ORFs to function, or the timing and expression level of genes expressed outside the context of PLE could obscure gene function. Collectively, these results suggest that PLE mediated accelerated cell lysis is the consequence of the activity of two or more functionally redundant gene products, of which LidI is the only product sufficient to phenocopy the PLE-encoded phenotype. Although redundancy is perhaps not expected for mobile genetic elements (MGEs) with restricted genome size, we have additionally observed that no single PLE open reading frame is necessary for inhibition of ICP1 plaque formation (Figure 4—figure supplement 3C), suggesting that multiple strategies act synergistically to eliminate phage production in addition to accelerating lysis.

LidIPLE 1 can function through lysis inhibition disruption

As LidIPLE 1 is sufficient to accelerate lysis but does not phenocopy what we expect of a holin, we wanted to determine the mechanism of LidIPLE 1-mediated accelerated lysis in the absence of PLE. Since ICP1 exhibits LIN during high MOI infections, we hypothesized that LidIPLE 1 causes accelerated lysis by disrupting LIN. LIN occurs when phages outnumber hosts, so changing the multiplicity of infection changes the onset of LIN: at low multiplicities of infection, a small fraction of cells produce a burst of phage which are adsorbed by neighbors and this process can repeat a number of times until the majority of cells are infected and LIN is triggered (Figure 1A). This is evidenced by the stabilization of culture optical density until complete lysis ~90 minutes in PLE (-) V. cholerae infected at various multiplicities of infection (Figure 5A). The differential onset of LIN means that accelerated lysis mediated by LidIPLE 1 would also be expected to change in accordance with MOI if it functions by disrupting LIN. Indeed, we observed differential lysis timing dependent on the MOI in cultures expressing LidIPLE 1 with up to a 40 minutes delay at the lowest MOI (Figure 5A), suggesting that LidIPLE 1 functions through lysis inhibition disruption.

Figure 5. LidI functions through lysis inhibition disruption.

Figure 5.

(A) Optical density (D600) of empty vector (EV) or LidIPLE 1 expressing cultures after infection with different initial multiplicities of infection (highest MOI top to lowest MOI bottom). Data points represent the average reading of n = 3 biological replicates and shaded regions display the standard deviation of experiments. (B) Efficiency of plaquing (EOP) for V. cholerae harboring induced lidIPLE 1 in comparison to an empty vector control (EV). Points represent individual replicates; bar height is the average; error bars display the standard deviation of samples. (C) Plaque edge phenotypes were determined for ICP1 plaques on EV (top) and lidIPLE 1 (bottom) PLE (-) V. cholerae.

Figure 5—source data 1. This spreadsheet contains the data used to create Figure 5.

Congruent with LidIPLE 1 disrupting LIN, lidIPLE 1 expression in PLE (-) V. cholerae does not change the efficiency of plaquing (EOP) by ICP1, an experiment that probes the number of successful initial infections at a low multiplicity of infection (Figure 5B). Consistent with this, the phenotypic change in plaque morphology expected of disrupted LIN is the loss of fuzzy plaque edges, which we see in PLE (-) V. cholerae expressing lidIPLE 1 in trans (Figure 5C). It is important to note that these data showing that LidI disrupts LIN when expressed alone do not reveal the molecular mechanism underlying this activity or ensure that the gene serves the same function in the context of PLE, even though it successfully phenocopies PLE-induced accelerated lysis.

LidI lowers phage yield

Because LIN in T-even coliphages functions to increase phage burst size (Doermann, 1948), we hypothesized that LidIPLE 1 collapsing LIN could inhibit ICP1 by decreasing progeny phage yield from infection. To determine if LidIPLE 1 alone can impact the number of phage produced from an infection, expression was induced prior to, at the time of, and at various intervals after infection with ICP1 at a high MOI (MOI = 5). Induction of lidIPLE 1 at the time of infection or 20 minutes before infection resulted in decreased phage yield by one or two orders of magnitude, respectively, in comparison to strains with the empty vector control (Figure 6A). Not only did we find this to be true of LidIPLE 1, but we also tested the LidIPLE 4 homolog for conserved inhibition of ICP1 and observed the same decreased phage yield (Figure 6B). Subsequent testing revealed that when infections start out with a low number of phage per cell (MOI ≤0.001), there is still accelerated lysis and decreased progeny phage production when LidIPLE 1 expression is induced (Figure 6—figure supplement 1). These data reveal LidI as the first PLE-encoded ORF that can singlehandedly negatively impact ICP1 phage yield.

Figure 6. LidI puts a bottleneck on phage populations.

(A and B) Phage infection yields measured in plaque forming units per mL (PFU/mL) were determined from V. cholerae with empty vector (EV), lidIPLE 1, and lidIPLE 4 constructs induced at the specified time with respect to phage infection at multiplicity of infection of 5 or left uninduced (-). All samples were mechanically lysed 100 minutes after infection and titers were compared via one-way ANOVA followed by Dunnett’s multiple comparison test comparing all values to titers from the EV cultures. Only significant differences are noted. (C) Schematic of evolution as probed by overcoming V. cholerae-encoded CRISPR targeting. Top: cultures with induced EV and lidIPLE 1 constructs are infected with ICP1 (MOI = 0.1) and allowed to produce progeny phage before mechanical lysis. The majority of phages will be wild type (yellow) while some phages will harbor mutations (orange). Bottom: The phage populations were then plaqued on V. cholerae strains with a CRISPR-Cas system (black rectangle) and different spacers. Wild type phage infections do not result in plaques because the injected phage DNA is degraded (dotted line) while mutants that can overcome the targeting, produce progeny, lyse the cells and form plaques. Expanded schematic in Figure 6—figure supplement 2. (D) Quantification of the number of phages that could overcome targeting by CRISPR-Cas from populations of progeny phages with and without LidIPLE 1. Significance was determined by unpaired one-tailed t-tests between EV and lidI-expressing hosts. (E) Schematic of evolution by successful homologous recombination between coinfecting phages. Top: cultures with induced EV and lidIPLE 1constructs are coinfected with ICP1 harboring mutated, non-functional CRISPR-Cas systems: CRISPR*-Cas ICP1 (orange) and CRISPR-Cas* ICP1 (yellow) at MOI 0.01. Bottom: The progeny phage from these infections were then plated on PLE 1 V. cholerae. PLE (blue circles) inhibit phage production by all phages that did not successfully recombine to restore a functional CRISPR-Cas system (two-colored phage). Expanded schematic in Figure 6—figure supplement 3. (F) Progeny phage from hosts with and without LidIPLE 1 co-infected with CRISPR*-Cas ICP1 and CRISPR-Cas* ICP1 were harvested via mechanical lysis. These were then plaqued on permissive (PLE (-) V. cholerae) and restrictive (PLE 1 V. cholerae) hosts. Significance was determined via one-tailed t-tests between EV and lidI-expressing hosts. For all graphs, data points represent individual values, bar height represents the average value, and error bars represent the standard deviation. Additional efficiency of plaquing analysis of 6D and 6F can be found in Figure 6—figure supplement 4. *p≤0.05, **p≤0.01, ***p≤0.001, ****p≤0.0001.

Figure 6—source data 1. This spreadsheet contains the data used to create Figure 6.

Figure 6.

Figure 6—figure supplement 1. Accelerated lysis and phage yield after low MOI infections.

Figure 6—figure supplement 1.

(A, B and C) Optical density (OD600) of empty vector (EV) or LidIPLE 1-expressing cultures after infection at MOI = 0.001 (A), MOI = 0.0001 (B), and MOI 0.00001 (C). Data points represent the average reading of n = 4 biological replicates and shaded regions display the standard deviation of experiments. (D) Quantification of progeny phage produced from the low MOI infections in panels A-C. Points represent individual replicates; bar height is the average; error bars display the standard deviation of samples. Significance was determined via two-tail t-test. **p≤0.01, ***p≤0.001.
Figure 6—figure supplement 1—source data 1. This spreadsheet contains the data used to create Figure 6—figure supplement 1.
Figure 6—figure supplement 2. Diversity of progeny phage from infections as measured by phage escape from CRISPR-Cas – expanded schematic.

Figure 6—figure supplement 2.

1. V. cholerae strains with and without LidIPLE 1 (top/purple and bottom/grey, respectively) were exposed to ICP1 (yellow). 2. 90 minutes post-infection, infected cultures were mechanically lysed to release progeny phage (yellow and orange phage). 3. These progeny phage were plated on V. cholerae encoding a Type I-E CRISPR-Cas system (black rectangle) with a spacer against ICP1 (white and yellow line). 4. Only progeny phage that had mutated (orange) to escape targeting by the spacer could successfully infect, avoid degradation, replicate, and lyse cells to form plaques. Quantifying these plaques gives insight into how many mutant phage resulted from the initial infection.
Figure 6—figure supplement 3. Successful recombination of progeny phage from infections as measured by phage-encoded CRISPR-Cas overcoming PLE – expanded schematic.

Figure 6—figure supplement 3.

A We engineered strains of ICP1 encoding a Type I-F CRISPR-Cas system to lack nuclease activity by deleting Cas2-3 in the CRISPR-Cas* phage (yellow) and disrupt targeting by deleting the spacers and mutating Cas1 so new spacers could not be incorporated in the CRISPR*-Cas phage (red). When these phage infect PLE (-) V. cholerae (A1), the resulting progeny phage (A2) consist of phages with the parental genotypes of the phages (yellow and red) or homologous recombination upon coinfection can produce recombinant progeny phage (orange). Some recombinant progeny phage will have reconstituted a functional CRISPR-Cas system. We can test this by exposing the progeny phage to PLE (+) V. cholerae (A3) where only phages that can defend against PLE with CRISPR-Cas will be able to form plaques (middle). B To test if LidIPLE 1 expression can impact evolution through homologous recombination, we coinfected V. cholerae with (purple) and without (grey) LidIPLE 1 with the CRISPR-Cas deficient phages (B1). After lysing the infected cultures (B2) we quantified how many progeny phage recombined to reconstitute a functional CRISPR-Cas system by exposing them to PLE (B3).
Figure 6—figure supplement 4. EOP of evolution experiments in the presence of LidIPLE 1.

Figure 6—figure supplement 4.

(A) Efficiency of plaquing (EOP) was determined between plaque forming units (PFUs) from LidIPLE 1V. cholerae infections and PFUs from EV V. cholerae infections plaqued on CRISPR-Cas (+) V. cholerae harboring each of the specified spacers. No significant differences were detected via one-way ANOVA. (B) EOP was determined between PFUs of a population plaqued on PLE 1 V. cholerae in comparison to the PFUs of the same population on PLE (-) V. cholerae. Points represent individual replicates; bar height is the average; error bars display the standard deviation of samples. No significant difference was detected by two-tailed t-test.
Figure 6—figure supplement 4—source data 1. This spreadsheet contains the data used to create Figure 6—figure supplement 4.

From an evolutionary perspective, producing fewer virions equates to fewer diverse phages and would limit the phage’s ability to evolve counterattacks to anti-phage mechanisms or escape through mutation. Hence, we hypothesize that PLE-mediated accelerated lysis decreases the ability of ICP1 to evolve in the face of PLE. However, because our data support a model in which accelerated lysis is redundantly encoded, it is not currently possible to test the impact of delayed lysis on ICP1 evolution in the context of the PLE. We can, however, interrogate how the lidI-mediated collapse of LIN and concomitant decrease in phage production in PLE (-) V. cholerae constrains ICP1 evolution. To test if LidIPLE 1-mediated accelerated lysis is enough to impact diversity through the acquisition of random mutations in the progeny phage population, we exposed PLE (-) V. cholerae with and without lidIPLE 1 to ICP1 (MOI = 0.1), collected the population of progeny phage, and looked for plaque formation on PLE (-) V. cholerae encoding a Type I-E CRISPR-Cas system (Box et al., 2016); an expanded schematic of this experiment is available in Figure 6—figure supplement 2. These host strains of CRISPR-Cas (+) V. cholerae were engineered to harbor various anti-ICP1 spacers that allowed for varying rates of ICP1 escape (Figure 6C). For each spacer, fewer phage progeny from lidIPLE 1 V. cholerae were able to overcome targeting than progeny from infections of strains without lidIPLE 1 (Figure 6D). This defect is due to the LidI-mediated decrease in the population of phages as the frequency of phage escaping stays the same (e.g. ~2 out of every thousand phages can overcome spacer C, Figure 6D). Consequently, because less phage are produced from lidIPLE 1-expressing V. cholerae, an order of magnitude fewer phages can overcome the spacer in the population (Figure 6—figure supplement 4).

While exposure to V. cholerae’s CRISPR-Cas system was meant to probe evolution at the level of individual random mutations and proclivity to overcome targeting, phages also readily use homologous recombination to evolve during co-infection. To test the impact of LidIPLE 1 on this aspect of evolvability, we took advantage of the Type I-F CRISPR-Cas system found in ICP1 by engineering two ICP1 variants with nonfunctional CRISPR-Cas systems: one devoid of spacers against PLE with an inactive Cas1 preventing spacer acquisition (CRISPR*-Cas ICP1) (McKitterick et al., 2019b) and the other lacking Cas2-3 (CRISPR-Cas* ICP1). We then used these phages to coinfect V. cholerae strains (MOI = 0.01) with and without LidIPLE 1. After lysis, progeny phage were tested for their ability to plaque on PLE 1 V. cholerae, which is only possible if homologous recombination between the two variants restored a functional CRISPR-Cas system able to target PLE 1 (Figure 6E); an expanded schematic of this experiment is available in Figure 6—figure supplement 3. Predictably, the presence of LidIPLE 1 decreased the number of progeny phages per infection that recombined to reconstitute the CRISPR-Cas system and overcome PLE (Figure 6F and Figure 6—figure supplement 4). Although LidI expression does not directly impact ICP1 evolvability within infected cells, these data demonstrate that LidI imposes a bottleneck on ICP1’s population size resulting in fewer diverse phages and limiting ICP1’s potential to escape anti-phage activity.

Discussion

Here, we observe a previously unknown lysis inhibition (LIN) state in the globally relevant pathogen, V. cholerae, in response to ICP1, the predominant phage isolated from clinical samples, and identify the relevant ICP1-encoded lysis machinery: the holin, TeaA, and the antiholin, ArrA. Consistent with T-even induced LIN, ICP1 LIN results in fuzzy-edged plaques and delayed lysis sensitive to cellular proton motive force. This work subsequently reveals that the disruption of LIN is part of PLE’s anti-phage repertoire. A single open reading frame, lidI, which is conserved through all five PLEs spanning the last 70 years, is sufficient to disrupt LIN and limit progeny phage populations when expressed outside its native context in PLE (-) V. cholerae. These two opposing forces, ICP1 LIN and accelerated lysis by PLE through LIN disruption (which our data shows LidI is capable of doing in isolation and yet other undiscovered PLE-encoded mechanisms redundantly accomplish), act in the midst of the ongoing evolutionary arms race between V. cholerae and its parasites.

In phage-host interactions, research continues to unveil evolutionary strategies used to sense populations in the environment. Phage-encoded anti-CRISPRs (the counter adaption to combat CRISPR-Cas systems) can function in a phage-concentration dependent manner (Borges et al., 2018; Landsberger et al., 2018), small arbitrium peptides can influence lysogeny decisions based on other infections throughout the population (Erez et al., 2017), and phages can ‘listen in’ on host quorum sensing as a measure of host availability (Silpe and Bassler, 2019). All of these environmental signals parallel LIN, one of the first discovered forms of communication during phage infection (Doermann, 1948; Abedon, 2019; Hershey, 1946). The anti-CRISPR system uses multiple subsequent phage infections, each benefiting from anti-CRISPRs expended during previous infections, to overcome host defenses similar to the subsequent superinfections that trigger LIN to make the most of the infected host. Arbitrium peptide signals formed upon infection give phages a proxy for when the majority of neighboring cells are infected, protecting potential progeny phage from adsorbing to previously infected cells by employing lysogeny – this shielding of progeny phages from infected cells is also accomplished during LIN. Phages eaves dropping on the host quorum sensing system provides a measure of available hosts – a lack of which is communicated by secondarily adsorbed virions during LIN. Consequently, our discovery of ICP1’s LIN in V. cholerae reinforces lysis inhibition as a relevant form of environmental sensing and highlights the importance of phages tuning their infection parameters depending on host availability in the environment. Following ingestion, V. cholerae colonizes and blooms in the small intestine before being shed in stool, further contaminating aquatic reservoirs and promoting subsequent ingestion and infection cycles. If large numbers of ICP1 are co-ingested with small numbers of V. cholerae, it would be theoretically beneficial for ICP1 to demonstrate LIN in infected cells, bide time inside the cell while making more virions, and lyse in the small intestine after uninfected V. cholerae have had time to replicate, providing ample hosts for subsequent rounds of phage predation. This is consistent with outbreak models in which phage become more abundant in the environment towards the end of an epidemic and there is phage amplification within cholera patients (Faruque et al., 2005a; Faruque et al., 2005b; Jensen et al., 2006). Similarly, if V. cholerae bloomed in the gut followed by a subsequent expansion of the phage population to the extent that phages now outnumber hosts, it would be beneficial for ICP1 progeny phage to stay inside a cell, protected from adsorbing to cells that are already making progeny phage, and instead wait for release into the aquatic environment or ingestion by an uninfected patient via person-to-person transmission where ICP1 progeny may have better chances of finding an uninfected bacterial host to carry out its parasitic lifecycle. Interestingly, this begins to touch on variability of the phage life cycle in different aquatic environments (Nelson et al., 2008; Silva-Valenzuela and Camilli, 2019), and the potential benefit for a phage population if a lysis inhibited cell is ingested along with V. cholerae from a patient – after which V. cholerae has been shown to be hyperinfectious (Merrell et al., 2002).

It is important to consider that within this tripartite system there are two parasites at odds with one another and both encode mechanisms to alter lysis timing. While the benefits of LIN to ICP1 have been explored in the parallel T-even phage/E. coli systems (Abedon, 1990; Abedon, 2019) and discussed above, the impact of a MGE, specifically a parasitic phage satellite like PLE, on lysis inhibition could not have been predicted. One could argue that LIN might provide PLE with more resources for horizontal transmission, or counter that LIN provides time enough for ICP1 to evade PLE-encoded anti-phage mechanisms. Here, we show that the PLE accelerates lysis with LidI as a conserved part of its program – presumably collapsing LIN as a hinderance to ICP1. Known examples showcase the deleterious effects of accelerated lysis on phage fitness, with holin mutations like the λ phage S-holin mutants which accelerate lysis by 20–25 minutes and lower progeny phage yield by orders of magnitude (Johnson-Boaz et al., 1994; Wang, 2006). Similarly, a part of an abortive infection system in Lactococcus lactis, the AbiZ protein, causes cells infected by φ31 to lyse 15 minutes early, decreasing phage titers 100-fold (Durmaz and Klaenhammer, 2007). Indeed, we find even without other PLE-encoded products, accelerated cell lysis by LidI is sufficient to decrease phage population size and this bottlenecks the phage population, likely reducing ICP1’s ability to overcome PLE. The absolute abolishment of progeny phage accomplished by PLE’s complete anti-phage repertoire (of which LidI is only a part) is particularly interesting considering functionally similar SaPIs, which lay dormant in the chromosome much like PLE, until phage infection when SaPIs are induced to parasitize phage components (Novick et al., 2010). One of many ways that PLEs and SaPIs differ is that SaPIs allow for some propagation of their helper phage, whereas PLE completely ablates ICP1 production of progeny phage. It is easy to think of SaPIs as selfish elements: they integrate and take advantage of vertical transmission. Once the cells are challenged by a helper phage, they excise, inhibit phage for their own ends, and escape the cell while allowing some progeny phage to escape with them all the while promoting diversity and horizontal gene transfer (Frígols et al., 2015; Novick et al., 2010). This lifecycle ensures horizontal transmission of the SaPI as well as continued activation of SaPIs down the line by available helper phages. In contrast, PLE completely blocks ICP1 production by acting as an abortive infection mechanism. Our evidence that PLE functions through collapsing lysis inhibition supports this angle as lysis inhibition could theoretically, as previously mentioned, allow for more time to produce PLE particles, enabling horizontal transmission of PLE to larger numbers of naïve cells. Surprisingly, this is so important that the means to disrupt LIN and execute lysis for PLE’s own selfish benefit are apparently redundantly encoded within the PLE – LidI can collapse LIN in the absence of PLE, though ΔlidI PLE still shows accelerated lysis. There is also limited evidence that PLE uses the hijacked ICP1 machinery to transduce in nature – in the laboratory, conditions allow four of the five PLEs to integrate in many sites across the superintegron; however, natural isolates only ever have one of those four PLEs integrated in one specific site (O'Hara et al., 2017). This pattern is indicative of vertical transmission and infrequent horizontal transduction in the strains sampled from epidemics, which makes it easier to reconcile PLE’s abortive infection activity. With these evolutionary hypotheses in mind, ICP1 acquiring the CRISPR-Cas system changed the game: some single spacers encoded in ICP1 targeting PLE allow ICP1 to form progeny while simultaneously allowing for transduction of PLE (McKitterick et al., 2019b). If all spacers were singular and created equal, selection could drive PLE to act more like a typical satellite phage, embracing horizontal transfer and allowing ICP1 to slide by producing limited progeny phage. We know, however, that this is not the case; CRISPR systems function by dynamically acquiring spacers (Barrangou et al., 2007) and multiple spacers can abolish PLE’s ability to transduce while also killing the cell harboring PLE, destroying any chance at horizontal or vertical transmission (McKitterick et al., 2019b). Considering this complication, it is no surprise PLE would employ products like LidI to collapse LIN, perhaps to limit the ability of ICP1 to pick up new spacers against PLE.

The dynamic arms race between ICP1, PLE, and V. cholerae is ongoing as is research on other coevolving parasite/host systems. Focusing future work on LIN and MGEs is particularly promising given that this work represents a novel incarnation of LIN outside of the T-even coliphages, and we found homologs of LIN machinery outside of the limited contexts that LIN has been previously alluded to (Gromkova, 1968; Latino et al., 2019; Schito, 1974). This prevalence suggests that LIN exists outside of characterized systems though the impacts of LIN and its disruption are unknown and largely unexplored. In contrast, the importance of MGEs is widely accepted and anti-phage mechanisms are increasingly found on MGEs, making questions about the interplay between MGEs and the complicating factors outlined here particularly attractive. One recently discovered example of how prevalent these confounding factors are is that of the cyclic-oligonucleotide-based anti-phage signaling system, which is found on MGEs in bacteria including V. cholerae, and that, in E. coli, serves as an abortive infection system upon phage infection and can cause lysis on an accelerated timescale (Cohen et al., 2019). As a final note on these intriguing areas of future inquiry, there is increased interest in utilizing phages to combat bacterial infections as a part of phage therapy - the successful application of such approaches will likely depend on understanding all the interactions between phages and bacteria including responses that depend on the environment like lysis inhibition and interplay mediated by MGEs like PLE.

Materials and methods

Key resources table.

Reagent type
(species) or resource
Designation Source or
reference
Identifiers Additional
information
Gene (Vibrio cholerae) lidIPLE 1
(PLE 1 ORF20.1)
*
Gene (Vibrio cholerae) lidIPLE 2
(PLE 2 ORF24.1)
*
Gene (Vibrio cholerae) lidIPLE 3
(PLE 3 ORF24.1)
*
Gene (Vibrio cholerae) lidIPLE 4
(PLE 4 ORF26)
(O'Hara et al., 2017)
Gene (Vibrio cholerae) lidIPLE 5
(PLE 5 ORF26)
(O'Hara et al., 2017)
Gene
(bacteriophage ICP1)
teaAICP1
(gp137)
(Angermeyer et al., 2018),*
Gene
(bacteriophage ICP1)
arrAICP1
(gp138)
(Angermeyer et al., 2018),*
Strain (Vibrio cholerae) PLE (-) V. cholerae
(E7946)
(Levine et al., 1982) KDS 6
Strain (Vibrio cholerae) PLE 1 V. cholerae
(PLE 1 E7946)
(O'Hara et al., 2017) KDS 36
Strain (Vibrio cholerae) ΔlacZ::Ptac-EV (E7946) (McKitterick and Seed, 2018) KDS 116
Strain (Vibrio cholerae) ΔlacZ::Ptac-lidIPLE 1
(E7946)
* KDS 139
Strain (Vibrio cholerae) ΔlacZ::Ptac-lidIPLE 4
(E7946)
* KDS 267
Strain (Vibrio cholerae) PLE 1 FLAG-LidIPLE 1
(E7946)
* KDS 268
Strain (Vibrio cholerae) PLE 1 ΔlidI (E7946) * KDS 170
Strain (Vibrio cholerae) PLE 4 ΔlidI (E7946) * KDS 269
Strain (Vibrio cholerae) CRISPR-Cas (+) (E7946) (Box et al., 2016) KDS 112 Inducible Cas Proteins
Recombinant DNA reagent (plasmid) Ptac-Empty Vector
(pKL06 in E7946)
(McKitterick and Seed, 2018) KDS 196 Empty Vector Control
Recombinant DNA reagent (plasmid) Ptac-lidIPLE 1
(plasmid in E7946)
* KDS 219 Inducible lidIPLE 1
Recombinant DNA reagent (plasmid) Ptac-lidIPLE 4
(plasmid in E7946)
* KDS 270 Inducible lidIPLE 4
Recombinant DNA reagent (plasmid) Ptac-teaAICP1
(plasmid in E7946)
* KDS 271 Inducible teaAICP1
Recombinant DNA reagent (plasmid) Ptac-arrAICP1
(plasmid in E7946)
* KDS 272 Inducible arrAICP1
Recombinant DNA reagent (plasmid) Ptac-tT4
(plasmid in E7946)
* KDS 273 Inducible tT4
Recombinant DNA reagent (plasmid) Ptac-anti-gp138 spacer
(plasmid in E7946)
* KDS 274 CRISPR array containing anti-gp138 spacer
Recombinant DNA reagent (plasmid) Ptac-anti-gp138 spacer and repair template * KDS 275 CRISPR array containing anti-gp138 spacer and repair template
Recombinant DNA reagent (plasmid) Ptac-FLAG-lidIPLE 1 * KDS 276 Inducible FLAG-tagged blot control
Recombinant DNA reagent (plasmid) Ptac-none
(CRISPR array with no spacers against WT ICP1)
(McKitterick et al., 2019b) KDS 277 Spacer control
Recombinant DNA reagent (plasmid) Ptac-spacer A * KDS 278 Spacer A against ICP1
Recombinant DNA reagent (plasmid) Ptac-spacer B * KDS 279 Spacer B against ICP1
Recombinant DNA reagent (plasmid) Ptac-spacer C * KDS 280 Spacer C against ICP1
Strain (bacteriophage ICP1) ICP1 (ICP1 2006E ΔCRISPR ΔCas) (McKitterick and Seed, 2018)
Strain (bacteriophage ICP1) ΔarrA ICP1 (ICP1 2006E
ΔarrA/gp137)
* SGH Φ 61
Strain (bacteriophage ICP1) CRISPR*-Cas ICP1 (ICP1 2011A Δspacer2-9 Cas1D244A) (McKitterick et al., 2019b) ACM Φ 232
Strain (bacteriophage ICP1) CRISPR-Cas* ICP1
(ICP1 2011A Δcas2-3)
* SGH Φ 62
Chemical compound Isopropyl-beta-D-thiogalactoside
(IPTG)
GoldBio 12481C5
Chemical compound Theophylline Sigma-Aldrich T1633-100G
Chemical compound 2,4-Dinitrophenol
(DNP)
Sigma-Aldrich D198501-100G
Chemical compound 3,3-Diethyloxacarbocyanine iodide
(DiOC2(3))
Sigma-Aldrich 320684–1G
Antibody Rabbit anti-FLAG polyclonal antibody Sigma-Aldrich RRID:SAB4301135
Antibody Goat anti-Rabbit IgG antibody, peroxidase conjugated Sigma-Aldrich RRID:AP132P

*Identified or created in this work.

Bacteria and phage propagation

Bacteria were propagated at 37°C via streaking from frozen glycerol stocks on solid LB agar plates and growth in Miller LB (Fisher Bioreagents) with aeration. Media was supplemented with chloramphenicol (2.5 μg/mL for V. cholerae and 25 μg/mL chloramphenicol for E. coli), kanamycin (75 μg/mL), ampicillin (100 μg/mL), and streptomycin (100 μg/mL) when appropriate. Cell densities were measured at OD600 in tubes (Biochrom Ultrospec 10; 10 mm pathlength referred to as OD600-tube) and in 96-well plates (all reported OD600 measurements in figures have a pathlength equivalent to 150 μL in Costar Clear 96-well plates (Corning)). To induce chromosomal constructs in both liquid and top agar, plasmid constructs in top agar, and the plasmid Ptac-arrA construct for complementation, 1 mM isopropyl β-D-1-thiogalactopyranoside (IPTG) and 1.5 mM theophylline were added to cultures while the remaining plasmid constructs were induced with 125 μM IPTG and 187.5 μM theophylline in liquid cultures. Plasmid constructs were used for all experiments other than phage infection yield experiments which utilized chromosomal constructs to decrease leaky expression in uninduced strains.

Bacteriophages were propagated on PLE (-) V. cholerae hosts and prepped via polyethylene glycerol precipitation or concentration and media exchange on Amicon Ultra – 15 (Millipore) centrifugal filters (Bonilla et al., 2016; Clokie and Kropinski, 2009). Stocks were stored in sodium chloride-tris-ethylenediaminetetraacetic acid buffer (STE), and quantified via the soft agar overlay method (Clokie and Kropinski, 2009). Briefly, titering was completed by growing V. cholerae to mid-log, infecting with cultures with diluted phage, and allowing adsorption to occur for 7 to 10 minutes before plating on 0.5% LB top agar. Subsequently, multiplicity of infection (MOI) was determined by calculating the number of plaque forming units and varying that with the number of colony forming units of V. cholerae at a given optical density. This does not take into account virions that adsorb but do not successfully form plaques. Consequently, all reported MOIs do not address multiplicity of adsorption which could vary and impact initial changes in optical densities during experiments. Mechanical lysis of cultures infected with phage was accomplished by mixing chloroform into cultures then letting cultures stand at room temperature for ten minutes before spinning at 5000 x g for 15 minutes at 4°C and removing the supernatant for further analysis.

Cloning and strain generation

Chromosomal integrations in V. cholerae were accomplished through natural transformation of linear DNA created via splicing by overlap extension PCR (Dalia et al., 2014). In the case of deletions, antibiotic resistance cassettes were integrated into the locus of the deleted gene and subsequently flipped out as previously described (Baba et al., 2006). Plasmids were constructed with Gibson Assembly and Golden Gate reactions. Phage mutants were selected as previously described (Box et al., 2016). Briefly, complementary spacer oligos were annealed and inserted into a plasmid-borne CRISPR array. This plasmid was mated into a strain of V. cholerae engineered to include an inducible Type 1-E CRISPR-Cas system (CRISPR-Cas (+) V. cholerae). This system in the host strain was induced for 20 minutes before ICP1 infection for plaque assays on 0.5% LB top agar containing antibiotics to maintain the CRISPR array plasmid. Plaques were picked into STE (100 mM NaCl, 10 mM Tris-HCl 1 mM EDTA), purified on the same host twice, and genomic DNA was prepped for PCRs with the DNeasy Blood and Tissue Kit (Qiagen). Phages were subjected to PCR of the targeted gene and subsequent Sanger sequencing. Clean knockouts were accomplished by adding a repair template of homologous sequence containing the desired deletion and flanking DNA to the plasmid containing the CRISPR array as previously described (Box et al., 2016).

Lysis kinetics

V. cholerae strains were grown in 2 mL cultures to an OD600-tube=0.3 and 150 μL of cultures were added to 96-well plates. This transition often results in a slight decrease in optical density at the beginning of experiments where OD600 is tracked. The underlying cause for this decrease is unknown, but is consistent between controls and experimental conditions. Inducers and phage were pre-aliquoted in plates unless otherwise specified. OD600 within the plate was read for each sample on the SpectraMax i3x (Molecular Devices) plate reader every two minutes with one minute of shaking between each read while the machine incubated cultures at 37°C. Assays were interrupted for the addition of phage, inducers, 2,4-dinitrophenol (DNP; 2 μL of 8.4 mM DNP dissolved in 80% ethanol for a final concentration of 110 μM DNP), or ethanol (2 μL of 80% ethanol) during which samples were removed from the plate reader briefly before measurement was resumed. This enabled superinfection of cultures (initial cultures were infected with ICP1 MOI = 1, returned to the plate reader for four minutes, and subsequently superinfected with ICP1 MOSI = 5), addition of DNP in ethanol or ethanol alone to ICP1 MOI = 5 infected cultures 25 minutes post-infection, and DNP addition to induced cultures after 20 minuntes of growth with the inducers.

Determination of phage yield from high MOI infection

For each strain, three 2 mL cultures of V. cholerae were grown. The first was grown to an OD600-tube=0.15, inducer was added, and the culture was returned to the incubator; this culture served as the pre-induced culture. All cultures were grown for an additional 20 minutes to OD600-tube=0.3 at which point ICP1 MOI = 5 was added. Inducer was added to one tube at this time; this culture served as the culture induced at time zero. Tubes were returned to the incubator for 5 minutes for phage adsorption. Cultures were spun at 5000 x g for 3 minutes to pellet cells. Unadsorbed phage was aspirated off and cells were washed once with 1 mL of prewarmed LB with or without inducer. Cells were spun again and resuspended in media with and without inducer at which point OD600-tube was determined. Cultures (150 μL) were moved to 96-well plates with one well designated to the pre-induced culture, one well devoted to the culture induced at time zero, and three wells filled with uninduced culture. The plate was returned to the 37°C incubator to shake at 230 RPM. Inducer was added to two wells of the uninduced cultures 20 and 40 minutes post-infection respectively, leaving one uninduced control. The experiment was ended with mechanical lysis of cultures and subsequent quantification of phage titers.

Determination of proton motive force

V. cholerae containing the specified plasmids were grown to OD600-tube=0.2. Inducers (125 μM IPTG and 187.5 μM theophylline) were added and cells were grown at 37°C with aeration for 30 minutes before 0.5 mL were pelleted at 5000 x g for 3 minutes and resuspended in 0.1 mL of phosphate buffered saline (pH 7.2; Gibco Life Technologies) containing 20 μM 3,3’-diethloxacarbocyanine iodide (DiOC2(3); Sigma-Aldrich). Fluorescence measurements were completed in black 96-well half-volume plates (Corning) in the SpectraMax i3x (Molecular Devices) with 480(508) and 488(650) excitation(emission) wavelength settings.

Plaque analysis

V. cholerae strains were grown to mid-log before plaquing assays. For EOP experiments, plasmid constructs were induced for 20 minutes prior to infecting and plating with antibiotic and inducer in the 0.5% LB top agar. For plaque edge analysis, plasmids were maintained with antibiotics but not induced prior to plating on 0.5% top agar containing antibiotics and inducer. Plates solidified at room temperature prior to incubation at 37°C. For spot plates, V. cholerae was mixed with 0.5% top agar prior to infection, vortexed, and poured onto an LB agar plate to solidify before 3 μL spots of phage dilutions were overlaid on the agar. Plates were allowed to dry prior to incubation at 37°C. To visualize plaques, plates were scanned on the EPSON Perfection V800 Dual Lens scanner.

Western blots

Plasmid empty vector (EV) and FLAG-LidIPLE 1 were grown to OD600-tube=0.2 then induced with 1 mM IPTG and 1.5 mM for 40 minutes before 0.5 mL samples were taken. To observe expression during infection, strains were grown to OD600-tube=0.3, infected with ICP1 MOI = 2 with 4 mL samples taken at the labeled timepoints. Samples were prepared and visualized as previously described (McKitterick and Seed, 2018). Briefly, samples were mixed with one volume of cold methanol, pelleted at 15,000 x g at 4°C for 15 minutes, washed with 1 mL cold PBS, and pelleted. Pellets were resuspended in PBS with XT sample buffer and reducing agent (Bio-Rad), vortexed, and boiled for 10 minutes before being run on 4–12% Bis-Tris SDS gels (Bio-Rad Criterion XT). Gels were transferred via the Trans-Blot Turbo (Bio-Rad) and visualized with rabbit-α-FLAG (1:3,000) primary and goat-α-rabbit-HRP conjugated secondary antibodies on the ChemiDoc MP Imaging System (Bio-Rad).

CRISPR-Cas targeting of phage populations

V. cholerae harboring an empty vector control or LidIPLE 1 plasmid were grown to OD600-tube=0.15 before being induced and returned to the incubator to grow with aeration until OD600-tube=0.3. At this point 150 μL of culture were added to 96-well plates and infected with ICP1 MOI = 0.1. After lysis 90 minutes post-infection, any remaining cells were mechanically lysed and the resulting phage population was plaqued on CRISPR-Cas (+) V. cholerae as previously described (Box et al., 2016). Briefly, Cas (+) V. cholerae harboring CRISPR array plasmids were induced 20 minutes before phage populations were titered on each specified V. cholerae strain. EOPs were determined by dividing the number of PFU/mL on V. cholerae containing spacers by the PFU/mL on the CRISPR-Cas (+) V. cholerae that did not contain a spacer against the phage (denoted as spacer ‘none’).

Coinfection for homologous recombination

Coinfection experiments were completed in the same manner as the CRISPR-Cas targeting of phage populations described above with minor alterations: instead of infection with wild type ICP1, cultures were coinfected in the plate with CRISPR*-Cas ICP1 and CRISPR-Cas* ICP1 each at an MOI = 0.01, observed for 200 minutes in the plate reader, and, after mechanical lysis, phage populations were plaqued on PLE (-) V. cholerae and PLE 1 V. cholerae. Control infections with only one phage never formed plaques on PLE 1 V. cholerae. The proportion of phages that successfully recombined was determined by the dividing the PFU/mL of each phage population on PLE 1 V. cholerae divided by the PFU/mL on PLE (-) V. cholerae.

Bioinformatics

Transmembrane domains were predicted by conversion of all predicted open reading frames to amino acid sequence by CLC (CLC, 2020) before analysis with TMHMM Server v. 2.0 (Sonnhammer et al., 1998). PRALINE was used to create amino acid alignments of LidI (Simossis and Heringa, 2005). Homologs of TeaA (30% identity over 85% of the query) and ArrA (20% identity over 75% of the query) were identified with BLASTP (NCBI NIH, 2019) and arranged into phylogenetic trees as previously described (McKitterick et al., 2019a). Briefly, alignments were completed with MUSCLE v3.8.31 (Madeira et al., 2019) and a bootstrapped (n = 100) maximum-likelihood phylogenic tree was solved with PhyML 3.0 (Guindon et al., 2010). Default settings were used for amino acid sequences: automatic model selection with Akaike Information Criterion; SPR tree improvement with n = 10 random starting trees. Trees were visualized with FigTree (Rambaut et al., 2019).

Acknowledgements

This work was supported by the National Institute of Allergy and Infectious Diseases [R01AI127652 to KDS]. KDS is a Chan Zuckerberg Biohub Investigator and holds an Investigators in the Pathogenesis of Infectious Disease Award from the Burroughs Wellcome Fund. Thanks to the Seed Lab for thoughtful discussions and help with special thanks to Zoe Netter, Caroline Boyd, Zach Barth, and Amelia McKitterick for reviewing drafts.

Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Contributor Information

Kimberley D Seed, Email: kseed@berkeley.edu.

Wendy S Garrett, Harvard TH Chan School of Public Health, United States.

Kim Orth, HHMI/University of Texas Southwestern Medical Center, United States.

Funding Information

This paper was supported by the following grants:

  • National Institute of Allergy and Infectious Diseases R01AI127652 to Kimberley D Seed.

  • Burroughs Wellcome Fund Investigators in the Pathogenesis of Infectious Disease Award to Kimberley D Seed.

  • Chan Zuckerberg Biohub to Kimberley D Seed.

Additional information

Competing interests

No competing interests declared.

is a scientific advisor for Nextbiotics, Inc.

Author contributions

Conceptualization, Data curation, Formal analysis, Investigation, Methodology.

Conceptualization, Funding acquisition, Project administration.

Additional files

Source data 1. This spreadsheet contains the data used to create Supplementary files 2 and 3.
elife-53200-data1.xlsx (19.4KB, xlsx)
Supplementary file 1. ICP1_2006_E gene product (gp) GenBank References.

The gene products referred to in this work relate to open reading frames (ORFs) as noted in the ‘Locus Tag Note’.

elife-53200-supp1.docx (13.2KB, docx)
Supplementary file 2. TeaA homologs.

BLASTP was used to find homologs that share 30% identity with TeaA over 85% of the query. The GenBank ID, description, number of transmembrane domains (TMD) as predicted by TMHMM Server 2.0, and organism is listed for each homolog. Whether or not an ArrA homolog was found in the same organism is noted in the ‘ArrA’ column. Additionally, the adjacent upstream and downstream genes were analyzed for TMDs. GenBank descriptions are color coded. Due to the number of homologs analyzed, this table is only available as a spreadsheet as Source data 1.

elife-53200-supp2.docx (12.2KB, docx)
Supplementary file 3. ArrA homologs.

BLASTP was used to find proteins with 20% identity to ArrA over 75% of the query. The GenBank ID, description, number of transmembrane domains (TMD) as predicted by TMHMM Server 2.0, and organism is listed for each homolog. Whether or not a TeaA homolog was found in the same organism is noted in the ‘TeaA’ column. Additionally, the adjacent upstream and downstream genes of each homolog were analyzed for TMDs. GenBank descriptions are color coded. The source data for this table is available in Source data 1.

elife-53200-supp3.docx (15.5KB, docx)
Supplementary file 4. Primer Table.

Primers used in this work are provided with a description, identifier, and sequence.

elife-53200-supp4.xlsx (10.6KB, xlsx)
Transparent reporting form

Data availability

All data generated or analysed during this study are included in the manuscript and supporting files.

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Decision letter

Editor: Kim Orth1
Reviewed by: John Mekalanos2

In the interests of transparency, eLife publishes the most substantive revision requests and the accompanying author responses.

Acceptance summary:

In this work, Hays and Seed characterize a new phage lysis inhibition phenotype encoded by the ICP1 phage in the important human pathogen V. cholerae. Lysis inhibition, first discovered about 70 years ago, serves to increase phage burst size and protect phage progeny from adsorbing to cells that are already infected. Prior to this work, lysis inhibition had only been well-characterized in E. coli T-even phages, although it was also reported in coliphage N4. In these T4 phages, lysis inhibition is mediated by antiholins that inhibit the activity of phage holin proteins and slow progression towards cell lysis in the presence of high phage concentrations.

Decision letter after peer review:

Thank you for sending your article entitled "Dominant Vibrio cholerae phage exhibits lysis inhibition sensitive to disruption by a defensive phage satellite" for peer review at eLife. Your article has been evaluated by three peer reviewers, and the evaluation has been overseen by a Reviewing Editor and Wendy Garrett as the Senior Editor.

In this work Hays and Seed characterize a new phage lysis inhibition phenotype encoded by the ICP1 element in the important human pathogen V. cholerae. Lysis inhibition, first discovered about 70 years ago, serves to increase phage burst size and protect phage progeny from adsorbing to cells that are already infected. Prior to this work, lysis inhibition had only been well-characterized in E. coli T-even phages, although it was also reported in coliphage N4. In these T4 phages it is mediated by antiholins that inhibit the activity of phage holin proteins and slow progression towards cell lysis in the presence of high phage concentrations.

This work provides the first study of lysis inhibition outside of E. coli. Phage ICP1, a lytic phage that infects V. cholerae, is the predominant phage in cholera patient samples. The parasitic phage satellite PLE is integrated into the clinical V. cholerae isolates and it abolishes ICP1 phage production. When ICP1 infects, PLE is excised from the chromosome, replicates, and accelerates cell lysis; this results in release of PLE, and no infectious ICP1. One open question was how PLEs restrict ICP1, as no single PLE gene had been shown to be necessary for inhibition. Hays and Seed show that ICP1 inhibits lysis inhibition – they discover previously uncharacterized ICP1 genes with holin and antiholin activity (teaA and arrA), and they characterize a single PLE-encoded gene, lidI, which collapses ICP-mediated lysis inhibition. LidI is the first PLE-encoded ORF shown to negatively impact ICP1 phage yield. They show that all PLEs encode LidI, thereby revealing a conserved strategy to antagonize the phage lifecycle and inhibit progeny production.

There are a number of technical questions that need to be clarified, after which the reviewers feel confident that the authors have shown that a genuine LIN state is induced in ICP1 infections and aborted by PLE.

Major concerns

1) The bioinformatic analyses could be improved with a more systematic investigation of the TeaA and ArrA homologues. For example, the BLASTp hits for TeaA and ArrA are noted to be present "throughout marine phage and bacterial genomes". However, the figures appear to show that they are only found in Vibrio spp. The statement made in the paper makes it sound as though they are not restricted to Vibrio, and it should be made clear with respect to where these homologues are found. Also, an indication of how many homologues were found for each of the proteins and a table listing the hits (if this is a manageable number) with the associated ArrA homologues would be useful. It seems that not all teaA genes are associated with arrA genes. In cases where no ArrA homologue is identified, is there some other transmembrane-containing protein encoded next to teaA where arrA is expected to be?

– "the presence of ArrA homologues without TeaA homologues" – where is this data presented?

2) There are some confusing issues that should be resolved in the CRISPR-targeting experiments presented in the last section of the Results. In the absence of a spacer, there is approximately 10-fold difference in pfu/mL produced by LidIPLE 1 – and + samples. This is approximately the same difference that is noted between the LidIPLE 1 – and + samples in each of the three CRISPR targeting samples (Figure 6D). It's not clear to me how the conclusion that fewer phage progeny from LidIPLE 1 V. cholerae were able to overcome targeting than progeny from strains without LidIPLE 1 (subsection “LidI lowers phage yield”). It seems that the difference between phages produced in +/- LidIPLE 1 strains remains constant in the absence of CRISPR targeting or in the presence of the three spacers. Why is the targeting so poor for the spacers, particularly in the case of spacer A, which shows less than 10-fold decrease in phage plaquing? How were the three spacers chosen? Do the authors always find such poor targeting with CRISPR spacers and ICP1? I also had difficulty following the line of reasoning presented at the very end of the Results, centered on the reconstitution of the CRISPR system and the impact on evolution in infected cells.

3) There is some concern about the importance of both Figures 5 and 6. The authors have no real evidence that LidI is the LIN collapsing protein. It is an integral membrane protein with 2 TMDs and its overexpression will likely cause depolarization of the membrane and that would collapse LIN, just like DNP. Unfortunately, the lidI knockout has no phenotype. Regarding Figure 5, if one starts with low MOI, it takes longer to see LIN just because most cells are not infected. Recommend deleting these figures.

eLife. 2020 Apr 24;9:e53200. doi: 10.7554/eLife.53200.sa2

Author response


Major concerns

1) The bioinformatic analyses could be improved with a more systematic investigation of the TeaA and ArrA homologues. For example, the BLASTp hits for TeaA and ArrA are noted to be present "throughout marine phage and bacterial genomes". However, the figures appear to show that they are only found in Vibrio spp. The statement made in the paper makes it sound as though they are not restricted to Vibrio, and it should be made clear with respect to where these homologues are found. Also, an indication of how many homologues were found for each of the proteins and a table listing the hits (if this is a manageable number) with the associated ArrA homologues would be useful. It seems that not all teaA genes are associated with arrA genes. In cases where no ArrA homologue is identified, is there some other transmembrane-containing protein encoded next to teaA where arrA is expected to be?

"the presence of ArrA homologues without TeaA homologues" – where is this data presented?

The trees for ArrA and TeaA are in Figures 3E and Figure 3—figure supplement 1, respectively. Figure 3E shows the presence of ArrA homologs without TeaA homologs (squares without yellow dot). We have expanded the bioinformatics analyses on these homologs in the revised manuscript (available in Supplementary files 2 and 3). These newly added supplementary files include the GenBank Description and number of predicted transmembrane domains for each homolog as well as for the adjacent genes as per reviewer request.

We note that the homologs for TeaA are found throughout marine phage and bacterial genomes as shown in Figure 3—figure supplement 1. This figure shows that TeaA homologs are found in phages that infect Vibrionaceae (indicated by filled colored boxes) as well as in a number of bacteria (Pseudoalteromonas being the most common; signified by black box outlines) and multi-species metagenomic samples (signified in grey box outlines). We have clarified the statement to specify this is true for TeaA (and not for TeaA and ArrA as originally written). ArrA homologs are indeed limited to phages, specifically phages that infect the Vibrionaceae family (limited to members of the Vibrio and Entrovibrio genera) as we note in the text:

“ArrA yielded fewer homologs than TeaA (Supplementary file 3), however, using less stringent search parameters, we found that some organisms containing TeaA homologs also contain ArrA homologs though these were limited to vibriophages (Figure 3E and Supplementary file 2 and 3)”.

We do not expect all TeaA homologs to be associated with ArrA homologs because holins are fully functional without antiholins present. We think what is more interesting is that we find antiholins (i.e. ArrA homologs) in organisms without a holin (TeaA) homolog because antiholins function to regulate holins. As such, we displayed this information as yellow circles on both trees and clarified this in the text:

“This suggests that there are potential homologous lysis inhibition systems – complete with both holin and antiholin – present in phages other than ICP1. In contrast, the presence of ArrA homologs without TeaA homologs raises the question: what are antiholins doing on their own? Perhaps they have evolved functionality with holins divergent enough to no longer be considered homologous to TeaA under our search parameters, or they have been coopted for divergent functions much like holins (Mehner-Breitfeld et al., 2018; Saier and Reddy, 2015).”

2) There are some confusing issues that should be resolved in the CRISPR-targeting experiments presented in the last section of the Results. In the absence of a spacer, there is approximately 10-fold difference in pfu/mL produced by LidIPLE 1 – and + samples. This is approximately the same difference that is noted between the LidIPLE 1 – and + samples in each of the three CRISPR targeting samples (Figure 6D). It's not clear to me how the conclusion that fewer phage progeny from LidIPLE 1V. cholerae were able to overcome targeting than progeny from strains without LidIPLE 1 (subsection “LidI lowers phage yield”).

Reviewers are correct that LidI decreases the PFU/mL produced and this finding is the major result of figure panels 6A and B and Figure 6—figure supplement 1D. These panels demonstrate that LidI expression decreases the yield of phage from infected cultures. This is confirmed again in the samples with and without spacers targeting the phage in Figure 6D.

This effect is further quantified in Figure 6—figure supplement 4A where the efficiency of plaquing of LidI + strains in respect to LidI – strains is ~0.1 for all spacers and the control meaning that, though the absolute number of phages has been impacted, the frequency of escapes has not.

While the proportion of progeny phage that can overcome the spacer remains the same (Figure 6—figure supplement 4A), the total number of phage that can overcome a spacer from a LidI + infection is less than the total number of phage that can overcome a spacer from a LidI– infection (Figure 6D). For example, an average of ~6.13x107 more phages per mL can plaque on spacer A from a LidI– infection in comparison to a LidI+ infection.

We have worked to make this clear in the text:

“For each spacer, fewer phage progeny from lidIPLE 1V. cholerae were able to overcome targeting than progeny from infections of strains without lidIPLE 1 (Figure 6D). This defect is due to the LidI-mediated decrease in the population of phages as the frequency of phage escaping stays the same (e.g. ~2 out of every thousand phages can overcome spacer C, Figure 6D). Consequently, because less phage are produced from lidIPLE 1-expressing V. cholerae, an order of magnitude fewer phages can overcome the spacer in the population (Figure 6—figure supplement 1).”

It seems that the difference between phages produced in +/- LidIPLE 1 strains remains constant in the absence of CRISPR targeting or in the presence of the three spacers.

This is exactly the case and is shown conclusively Figure 6—figure supplement 4A. Our interpretation of these data is in agreement with these comments and we have expanded the text as stated above that indeed the frequency of escapes remains the same +/-LidI.

Why is the targeting so poor for the spacers, particularly in the case of spacer A, which shows less than 10-fold decrease in phage plaquing? How were the three spacers chosen? Do the authors always find such poor targeting with CRISPR spacers and ICP1?

Spacer A shows ~10-fold drop in phage while spacers B and C show ~1000-fold drop. These decreases are within the range of previously published values and are linked to the frequency of escapes (Box et al., 2016). The additive effect that LidI has on the total number of phage that can overcome targeting is consistent across spacers. We chose these spacers from the lab’s collection and could add more if reviewers think it would be helpful hoewever we do not expect the results to change – spacers will work to varying degrees while LidI expression will decrease the population of phages that overcome the spacer by ~10-fold.

I also had difficulty following the line of reasoning presented at the very end of the Results, centered on the reconstitution of the CRISPR system and the impact on evolution in infected cells.

We have provided additional supplementary schematics to clarify the experimental set up and better contextualize these experiments for the reviewers. For Figures 6C and D and further explained in Figure 6—figure supplement 2, the CRISPR system discussed is encoded by Vibrio cholerae and targets the phage (“we exposed PLE (-) V. cholerae with and without lidIPLE 1 to ICP1 (MOI=0.1), collected the population of progeny phage, and looked for plaque formation on PLE (- V. cholerae encoding a Type I-E CRISPR-Cas system (Box et al., 2016); an expanded schematic of this experiment is available in Figure 6—figure supplement 2.”).

In contrast, for Figures 6E and F inactive CRISPR systems are encoded by two phage strains and target the PLE within the V. cholerae chromosome (“To test the impact of LidIPLE 1 on this aspect of evolvability, we took advantage of the Type I-F CRISPR-Cas system found in ICP1 by engineering two ICP1 variants with nonfunctional CRISPR-Cas systems: one devoid of spacers against PLE with an inactive Cas1 preventing spacer acquisition (CRISPR*-Cas ICP1) (McKitterick et al., 2019) and the other lacking Cas2-3 (CRISPR-Cas* ICP1).”). These phage with inactivate CRISPR systems can only plaque on PLE+ strains if homologous recombination occurred reconstituting an active CRISPR system in the phage (“progeny phage were tested for their ability to plaque on PLE 1 V. cholerae, which is only possible if homologous recombination between the two variants restored a functional CRISPR-Cas system able to target PLE 1”).

These assays probe the evolution of the phage by measuring how many successful recombinants are formed in the presence and absence of LidI as shown in Figure 6—figure supplement 3. The key finding is that by limiting the population size as a whole, the number of phage that can evolve to overcome some selection pressure (either by mutations to escape CRISPR targeting or homologous recombination to restore a functional CRISPR-Cas system) is also limited.

3) There is some concern about the importance of both Figures 5 and 6. The authors have no real evidence that LidI is the LIN collapsing protein. It is an integral membrane protein with 2 TMDs and its overexpression will likely cause depolarization of the membrane and that would collapse LIN, just like DNP. Unfortunately, the lidI knockout has no phenotype. Regarding Figure 5, if one starts with low MOI, it takes longer to see LIN just because most cells are not infected. Recommend deleting these figures.

Figure 6 shows the decreased yield that results from LidI expression and the consequent collapse of lysis inhibition. This is an important finding in line with literature about T4 lysis inhibition and we observe the decreased phage production consistently across all tested conditions:

yield after phage infection in with LidI from both PLE 1 and PLE 4 induced at various times in respect to infection at high MOI (MOI=5) in Figure 6A and B

phage capable of overcoming V. cholerae encoded-CRISPR targeting after low MOI infection conditions (MOI=0.1) in Figure 6D

phage capable of recombining to reconstitute a functional phage encoded-CRISPR-system after low MOI infection conditions (MOI=0.01)) in Figure 6F

and we have now included three very low MOI infections of LidI expressing strains in Figure 6—figure supplement 1 (MOI=0.001, 0.0001, 0.00001) at the reviewer’s request

This finding was identified by the reviewers as important in the summary statement where, “LidI is the first PLE-encoded ORF shown to negatively impact ICP1 phage yield” and in the minor concern number 5 where a reviewer stated, “the authors designed a nice experiment to measure phage yield presented in Figure 6A where a specific high MOI was used. The two log decrease in yield is impressive under these conditions.” We believe this series of experiments marks the finding as consistent, reproducible, and significant, as such we do not agree to the recommendation to delete these figures.

In Figure 5, we do not claim that LidI is the protein that collapses lysis inhibition but instead that it is a protein sufficient to collapse lysis inhibition, which the data shows conclusively in Figures 4A, 5A, and Figure 6—figure supplement 1A-C. We further show that the PLE 4 LidI homolog is also sufficient to disrupt lysis inhibition in Figure 4E. We are careful to state that lysis inhibition collapse still happens in the absence of LidI (Figure 4A and E; subsection “PLE accelerates ICP1-mediated lysis”).

At this time, we can propose many molecular mechanisms for LidI activity: it likely could depolarize the membrane directly upon expression, which we show occurs after phage infection (Figure 4C) as the reviewer suggests, alternatively it could stabilize holin pore formation, destabilize the antiholin, inhibit holin-antiholin binding, or work through some other unforeseen mechanism. At this time we cannot distinguish between these hypotheses beyond stating that LidI expression alone does not depolarize membrane in the absence of phage infection (Figure 4C; subsection “PLE accelerates ICP1-mediated lysis”) yet still is sufficient to collapse lysis inhibition under the same induction conditions (Figure 4A and E).

Additionally, the reviewers communicated the following via email: The authors still leave the impression that LidI is the protein that collapses LIN. "LidI is the first PLE-encoded ORF shown to negatively impact ICP1 phage yield". This sounds like LidI actually does this but there is no evidence to this effect. Indeed, by earlier standards of phage genetics, we would conclude that it does not have this function, since there is no phenotype. The language still needs to be softened to avoid this false impression.

As stated above, we are careful not to say that LidI is the protein that collapses lysis inhibition in the context of PLE in the revised manuscript, but that it is sufficient to collapse lysis inhibition outside of the context of PLE. We conclusively show that LidI is the first PLE-encoded ORF demonstrated to negatively impact ICP1 phage yield (by orders of magnitude) in Figure 6 and Figure 6—figure supplement 1D. It is true that LidI could function differently in the context PLE, however, even if the function of LidI is a “fluke” in that LidI normally completes a different function in the cell, this “fluke” conveniently phenocopies the accelerated lysis we see in PLE+ cells. Although redundancy is perhaps not expected for mobile genetic elements with restricted genome size (like PLE), the most parsimonious explanation is that accelerated lysis is mediated by product(s) with redundant function, LidI being one of them (now stated in subsection “PLE accelerates ICP1-mediated lysis”). The earlier standards noted by the reviewer apparently do not allow for redundancy, nonetheless our investigation of this system is consistent with such redundancy and we believe this is even more of an interesting biological system because of it. The data demonstrating this redundancy has been added and can be found in Figure 4—figure supplement 3.

We have clarified language throughout the manuscript to impress upon the reader that the LidI characterization we have done is outside the context of PLE.

“Through lysis inhibition disruption a conserved PLE protein, LidI, can limit the phage produced from an infection, bottlenecking ICP1.”

“Subsequently, we discovered a single PLE-encoded gene we call lidI for lysis inhibition disruption that is sufficient to collapse ICP1- mediated lysis inhibition.”

“After confirming lidIPLE 1 expression during ICP1 infection, we next sought to characterize LidIPLE 1 function in PLE (-) V. cholerae. During infection with ICP1, LidIPLE1 was sufficient to recapitulate the PLE-mediated accelerated lysis phenotype.”

“Having demonstrated that LidIPLE 1 recapitulates PLE-mediated accelerated lysis, we wanted to determine if it was also necessary for this phenotype. Interestingly, however, when we deleted lidIPLE 1 from PLE 1 V. cholerae the lysis kinetics were unchanged (Figure 4A).”

“LidIPLE 1 can function through lysis inhibition disruption.”

“As LidIPLE1 is sufficient to accelerate lysis but does not phenocopy what we expect of a holin, we wanted to determine the mechanism of LidIPLE 1-mediated accelerated lysis in the absence of PLE.”

“Congruent with LidIPLE 1 disrupting lysis inhibition, lidIPLE 1 expression in PLE (-) V. cholerae does not change the efficiency of plaquing (EOP) by ICP1, an experiment that probes the number of successful initial infections at a low multiplicity of infection (Figure 5B). Consistent with this, the phenotypic change in plaque morphology expected of disrupted lysis inhibition is the loss of fuzzy plaque edges, which we see in PLE (-) V. cholerae expressing lidIPLE 1in trans (Figure 5C). It is important to note that these data showing that LidI disrupts lysis inhibition when expressed alone do not reveal the molecular mechanism underlying this activity or ensure that the gene serves the same function in the context of PLE, even though it successfully phenocopies PLE-induced accelerated lysis.”

“These data reveal LidI as the first PLE-encoded ORF that can singlehandedly negatively impact ICP1 phage yield.”

“Hence, we hypothesize that PLE-mediated accelerated lysis decreases the ability of ICP1 to evolve in the face of PLE. However, because our data support a model in which accelerated lysis is redundantly encoded, it is not currently possible to test the impact of delayed lysis on ICP1 evolution in the context of the PLE. We can, however, interrogate how the lidI-mediated collapse of lysis inhibition and concomitant decrease in phage production in PLE (-) V. cholerae constrains ICP1 evolution.”

“A single open reading frame, lidI, which is conserved through all five PLEs spanning the last 70 years, is sufficient to disrupt lysis inhibition and limit progeny phage populations when expressed outside its native context in PLE (-) V. cholerae.”

“These two opposing forces, ICP1 lysis inhibition and accelerated lysis by PLE through lysis inhibition disruption (which our data shows LidI is capable of doing in isolation and yet other undiscovered PLE-encoded mechanisms redundantly accomplish), act in the midst of the ongoing evolutionary arms race between V. cholerae and its parasites.”

Surprisingly, this is so important that the means to disrupt lysis inhibition and execute lysis for PLE’s own selfish benefit are apparently redundantly encoded within the PLE – LidI can collapse lysis inhibition in the absence of PLE, though DlidI PLE still shows accelerated lysis.

We also further state that PLE may encode redundant ways to accelerate lysis subsection “PLE accelerates ICP1-mediated lysis”: “This accelerated timescale could result from any combination of processes such as PLE deploying its own lysis machinery, PLE modulating the expression or stability of ICP1’s lysis machinery, or PLE inhibiting or collapsing lysis inhibition.” and show that inhibition of plaque formation and accelerated lysis phenotypes are robust to knocking out each individual ORF in Figure 4—figure supplement 3.

In respect to the importance of Figure 5, Figure 4 shows the reader that LidI is a conserved protein sufficient to cause accelerated cell lysis, that LidI is expressed during infection, and is not functioning as a holin in the absence of phage infection. The question that logically follows is how can LidI achieve acceleration of lysis? We do not specify molecular mechanism for the reasons explained above and instead check the obvious characteristics of lysis inhibition probing MOI (during low MOI infections the LIN state will be achieved later in time as described by the reviewer and in the final paragraph of subsection “PLE accelerates ICP1-mediated lysis”), checking the plaque edge phenotype, and efficiency of plaquing. The resulting data are consistent with disruption of lysis inhibition so much so that the reviewer raising this concern has already hypothesized the mechanism by which lysis inhibition is collapsed: depolarization of the membrane.

Associated Data

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

    Supplementary Materials

    Figure 1—source data 1. This spreadsheet contains the data used to create Figure 1C and D.
    Figure 2—source data 1. Fluorescence Source Data.

    This spreadsheet contains the data used to create Figures 2C and 4C.

    Figure 2—source data 2. DNP Source Data.

    This spreadsheet contains the data used to create Figures 2D and 4D.

    Figure 3—source data 1. This spreadsheet contains the data used to create Figure 3D.
    Figure 4—source data 1. This spreadsheet contains the data used to create Figure 4A and E.
    Figure 5—source data 1. This spreadsheet contains the data used to create Figure 5.
    Figure 6—source data 1. This spreadsheet contains the data used to create Figure 6.
    Figure 6—figure supplement 1—source data 1. This spreadsheet contains the data used to create Figure 6—figure supplement 1.
    Figure 6—figure supplement 4—source data 1. This spreadsheet contains the data used to create Figure 6—figure supplement 4.
    Source data 1. This spreadsheet contains the data used to create Supplementary files 2 and 3.
    elife-53200-data1.xlsx (19.4KB, xlsx)
    Supplementary file 1. ICP1_2006_E gene product (gp) GenBank References.

    The gene products referred to in this work relate to open reading frames (ORFs) as noted in the ‘Locus Tag Note’.

    elife-53200-supp1.docx (13.2KB, docx)
    Supplementary file 2. TeaA homologs.

    BLASTP was used to find homologs that share 30% identity with TeaA over 85% of the query. The GenBank ID, description, number of transmembrane domains (TMD) as predicted by TMHMM Server 2.0, and organism is listed for each homolog. Whether or not an ArrA homolog was found in the same organism is noted in the ‘ArrA’ column. Additionally, the adjacent upstream and downstream genes were analyzed for TMDs. GenBank descriptions are color coded. Due to the number of homologs analyzed, this table is only available as a spreadsheet as Source data 1.

    elife-53200-supp2.docx (12.2KB, docx)
    Supplementary file 3. ArrA homologs.

    BLASTP was used to find proteins with 20% identity to ArrA over 75% of the query. The GenBank ID, description, number of transmembrane domains (TMD) as predicted by TMHMM Server 2.0, and organism is listed for each homolog. Whether or not a TeaA homolog was found in the same organism is noted in the ‘TeaA’ column. Additionally, the adjacent upstream and downstream genes of each homolog were analyzed for TMDs. GenBank descriptions are color coded. The source data for this table is available in Source data 1.

    elife-53200-supp3.docx (15.5KB, docx)
    Supplementary file 4. Primer Table.

    Primers used in this work are provided with a description, identifier, and sequence.

    elife-53200-supp4.xlsx (10.6KB, xlsx)
    Transparent reporting form

    Data Availability Statement

    All data generated or analysed during this study are included in the manuscript and supporting files.


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