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. 2024 Oct 22;9(11):e00956-24. doi: 10.1128/msystems.00956-24

Functional analysis of cyclic diguanylate-modulating proteins in Vibrio fischeri

Ruth Y Isenberg 1,2,2, Chandler S Holschbach 1,2, Jing Gao 3, Mark J Mandel 1,2,
Editor: Ákos T Kovács4
PMCID: PMC11575326  PMID: 39436151

ABSTRACT

As bacterial symbionts transition from a motile free-living state to a sessile biofilm state, they must coordinate behavior changes suitable to each lifestyle. Cyclic diguanylate (c-di-GMP) is an intracellular signaling molecule that can regulate this transition, and it is synthesized by diguanylate cyclase (DGC) enzymes and degraded by phosphodiesterase (PDE) enzymes. Generally, c-di-GMP inhibits motility and promotes biofilm formation. While c-di-GMP and the enzymes that contribute to its metabolism have been well studied in pathogens, considerably less focus has been placed on c-di-GMP regulation in beneficial symbionts. Vibrio fischeri is the sole beneficial symbiont of the Hawaiian bobtail squid (Euprymna scolopes) light organ, and the bacterium requires both motility and biofilm formation to efficiently colonize. c-di-GMP regulates swimming motility and cellulose exopolysaccharide production in V. fischeri. The genome encodes 50 DGCs and PDEs, and while a few of these proteins have been characterized, the majority have not undergone comprehensive characterization. In this study, we use protein overexpression to systematically characterize the functional potential of all 50 V. fischeri proteins. All 28 predicted DGCs and 10 of the 14 predicted PDEs displayed at least one phenotype consistent with their predicted function, and a majority of each displayed multiple phenotypes. Finally, active site mutant analysis of proteins with the potential for both DGC and PDE activities revealed potential activities for these proteins. This work presents a systems-level functional analysis of a family of signaling proteins in a tractable animal symbiont and will inform future efforts to characterize the roles of individual proteins during lifestyle transitions.

IMPORTANCE

Cyclic diguanylate (c-di-GMP) is a critical second messenger that mediates bacterial behaviors, and Vibrio fischeri colonization of its Hawaiian bobtail squid host presents a tractable model in which to interrogate the role of c-di-GMP during animal colonization. This work provides systems-level characterization of the 50 proteins predicted to modulate c-di-GMP levels. By combining multiple assays, we generated a rich understanding of which proteins have the capacity to influence c-di-GMP levels and behaviors. Our functional approach yielded insights into how proteins with domains to both synthesize and degrade c-di-GMP may impact bacterial behaviors. Finally, we integrated published data to provide a broader picture of each of the 50 proteins analyzed. This study will inform future work to define specific pathways by which c-di-GMP regulates symbiotic behaviors and transitions.

KEYWORDS: Vibrio fischeri, c-di-GMP, flagellar motility, biofilm

INTRODUCTION

Many bacteria exist in the environment in a free-living state and upon encountering an animal host undergo a dramatic developmental transition. These adjustments enable symbiotic microbes—including mutualists, commensals, and pathogens—to acclimate to the physical, chemical, and nutritional milieu in the host; to resist immune responses; and to engage in behaviors required for survival and growth within the distinct host environment (15). To manage such transitions successfully, bacteria often inversely regulate motility and adhesion (611). In the motile state, it would be counterproductive to be adherent, and environmental bacteria use motility and chemotaxis to colonize novel niches, seek nutrition, and avoid predation (1214). In contrast, adherent bacteria, especially those that have formed a multicellular biofilm, do not have a need for swimming motility. As a result, there are multiple mechanisms that bacteria use to coordinately and inversely regulate these two broad behaviors (1518). Alteration of the levels of the intracellular second messenger cyclic diguanylate (c-di-GMP) is a common mechanism used by bacteria to accomplish this purpose (19). In general, c-di-GMP promotes biofilm formation and inhibits motility (20). Enzymes that regulate c-di-GMP levels are diguanylate cyclases (DGCs), which synthesize c-di-GMP, and phosphodiesterases (PDEs), which degrade the molecule. DGCs contain GGDEF domains with conserved GG(D/E)EF active site residues, while PDEs contain EAL domains with conserved ExLxR active site residues or HD-GYP domains with conserved HD and GYP active site residues (2126). Although many proteins have both GGDEF and EAL domains, only one domain is usually active, even when the amino acid motif for the other domain should function based on sequence conservation (2730). However, environmental conditions may influence whether some dual-function proteins exhibit primarily DGC or PDE activity (31).

Much of what is known about c-di-GMP regulation of biofilm, motility, and host colonization is from studies on pathogenic species (3234). Activation of cellulose production was the first role defined for c-di-GMP, in Acetobacter xylinum (now Komagataeibacter xylinus), and has remained one of most well-characterized c-di-GMP-regulated phenotypes across taxa (20, 21). c-di-GMP-mediated cellulose production has been implicated in host colonization defects by pathogens Escherichia coli and Salmonella enterica serovar Typhimurium (33). Although much focus has been placed on defining roles for c-di-GMP in pathogenic associations, recent studies have focused on the impacts of c-di-GMP in bacteria during beneficial host associations. Host-derived ligands inactivate Aeromonas veronii DGC SpeD, which promotes host colonization (35). Additionally, high levels of c-di-GMP negatively impact the establishment of the symbiosis between the bioluminescent marine bacterium Vibrio fischeri and its host the Hawaiian bobtail squid (Euprymna scolopes) (36). V. fischeri is the sole, beneficial light organ symbiont of the Hawaiian bobtail squid, and the bacterium requires both swimming motility and biofilm formation to successfully colonize the host light organ (3740). V. fischeri express polar flagella in seawater and form biofilm aggregates in the host mucus before migrating into the light organ (37, 38, 4144). V. fischeri produce cellulose via the bcs locus-encoded cellulose synthase enzyme, which is activated by c-di-GMP, and genetic manipulation of c-di-GMP levels through deletion or overexpression of DGCs and PDEs modulates cellulose production (39, 4548). Although cellulose is not required for symbiotic biofilm or squid colonization, an in vivo regulatory interaction exists between cellulose and the symbiosis polysaccharide (Syp) (36, 38, 39, 42, 49, 50).

We previously examined how global c-di-GMP levels impact bacterial behaviors in V. fischeri, including cellulose production, cellulose synthase and syp transcriptional reporter activities, and flagellar motility (36). For that work, we took advantage of a strain lacking seven DGCs and another strain lacking six PDEs to adjust the global c-di-GMP pool. That effort sparked our interest in the potential redundancy of the dozens of predicted c-di-GMP-modulating enzymes and the capacity of the encoded proteins to impact bacterial behavior. It is common for bacteria, especially those with diverse lifestyles, to encode many DGCs and PDEs: E. coli encodes 29 such enzymes and Vibrio cholerae encodes 62 (51, 52). V. fischeri strain ES114 encodes 50 genes predicted to modulate c-di-GMP levels (Fig. 1) (53, 54). Of these possible c-di-GMP-modulating proteins, only a few have been characterized in depth for their roles in biofilm formation and/or swimming motility. DGCs MifA and MifB regulate magnesium-dependent motility by contributing to flagellar biogenesis (45). CasA is a DGC that is activated by calcium to inhibit motility and promote cellulose biofilm formation (48). Reduction of c-di-GMP levels by PDE BinA reduces cellulose synthesis (46). LapD has degenerate GGDEF and EAL active sites, one or both of which may recognize c-di-GMP to prevent cleavage of the biofilm-promoting adhesin LapV (47). In this model, the PDE PdeV activates biofilm dispersal by decreasing the c-di-GMP pool that activates LapD (47). In V. fischeri strain KB2B1, the ortholog of DGC VF_1200 was shown to inhibit swimming motility (55). The other 44 V. fischeri-predicted c-di-GMP-modulating proteins have not undergone comprehensive phenotypic characterization, although a recent study was published where the motility of c-di-GMP-modulating gene mutants was assessed (54). Additionally, none of the 50 c-di-GMP-modulating proteins have been shown to impact host colonization individually, although putative PDE VF_A0879 was predicted to be required for host colonization in a transposon insertion sequencing study (56). In this report, we systematically dissected the capability of V. fischeri predicted c-di-GMP-modulating enzymes to impact various biofilm and motility phenotypes through an approach combining systems-level overexpression analysis and targeted active site mutations.

Fig 1.

Diagram displaying gene maps for chromosomes I and II, with genes in kilobase pairs and distances between genes in megabase pairs. Each chromosome is a horizontal bar, with vertical lines connecting to gene markers labeled with alphanumeric codes.

V. fischeri encodes 50 proteins across both chromosomes predicted to modulate c-di-GMP levels. The circular chromosomes are represented in a linear fashion for this representation. Numbers represent VF_ locus tags (e.g., VF_0087 and VF_A0056).

RESULTS

V. fischeri encodes 50 proteins predicted to modulate c-di-GMP levels

The V. fischeri genome (strain ES114) encodes 50 proteins containing DGC and/or PDE domains (49, 50, 53, 54). Twenty-eight are predicted DGCs with GGDEF domains, 14 are predicted PDEs (12 with EAL domains, 2 with HD-GYP domains), 5 are predicted dual-function proteins with both GGDEF and EAL domains, and 3 are predicted to be non-functional due to degenerate active sites. The genes encoding these proteins are spread across both V. fischeri chromosomes, with most (31 out of 50) of the genes located on the smaller second chromosome (Fig. 1). To further characterize the functions of all 50 proteins, we took an overexpression approach to examine the function of each protein when individually overexpressed in V. fischeri. We sought this approach to be resilient against the redundancy we expect to exist within the large gene families. A similar overexpression approach has been effective to evaluate phenotypes of DGCs and PDEs in V. cholerae (5761) and in other bacteria (28, 6264). We used an isopropyl β-D-1-thiogalactopyranoside (IPTG)-inducible vector to overexpress each protein in V. fischeri and performed assays to quantify cellulose production, swimming motility, and c-di-GMP levels. We also included control strains overexpressing VC1086 (a V. cholerae PDE) and QrgB (a Vibrio campbellii BB120 DGC), which have served as effective controls in multiple organisms (59, 61, 6469). We note that the vector backbone used is the same as in many of the V. cholerae studies. Assays were conducted in a 96-well format to facilitate simultaneous, reproducible assays of the complete set of 54 test and control strains.

Predicted V. fischeri DGCs and PDEs impact cellulose polysaccharide production

c-di-GMP promotes cellulose synthesis in many bacteria including V. fischeri (46, 48). To assess cellulose production across the set of proteins, we performed Congo red binding assays (46) of strains overexpressing each protein. Most DGCs (17/28 V. fischeri DGCs) increased cellulose production, consistent with their predicted function, including characterized DGCs MifA and CasA (Fig. 2A). Known V. campbellii DGC QrgB also increased cellulose production (Fig. 2A). The increase in cellulose production upon overexpression of known DGC MifA is consistent with published results (45), and the CasA overexpression result is consistent with data showing decreased cellulose production in a ΔcasA strain (48). While overexpression of the remaining predicted DGCs did not significantly alter Congo red binding levels, many had a trend in the positive direction as expected and consistent with an increase in c-di-GMP levels (Fig. 2A).

Fig 2.

Bar chart with ANOVA statistical analysis for Congo red binding and migration with color codes such as blue bars for DGC (GGDEF), pink for PDE (EAL), lighter pink for PDE (HD-GYP), and purple for DGC/PDE.

Many predicted V. fischeri DGCs and PDEs impact biofilm formation and swimming motility when overexpressed. (A) Quantification of Congo red binding for V. fischeri strains overexpressing the indicated proteins relative to the pRYI039 empty vector control. For each strain, n = 3–8 biological replicates (24 for controls). Congo red images are representative. (B) Quantification of migration through soft (0.3%) agar for V. fischeri strains overexpressing the indicated proteins relative to the pRYI039 empty vector control. For each strain, n = 4–11 biological replicates (33 for controls). For panels A and B, one-way analysis of variance was used for statistical analysis, each bar represents the means of biological replicates, error bars represent standard errors of the mean, asterisks represent significance relative to the pRYI039 empty vector control (*P < 0.05), and numbers represent VF_ locus tags (e.g., VF_0087 and VF_A0056); negative controls pRYI039 and pEVS143 as well as non-V. fischeri controls QrgB and VC1086 are also listed and indicated with a black dot.

Overexpression of 9/14 predicted PDEs significantly decreased cellulose production upon overexpression, consistent with their predicted function, including characterized PDE BinA. Known V. cholerae PDE VC1086 also decreased cellulose production (Fig. 2A). Our results are consistent with published results showing effects on cellulose production for PDE BinA (46, 47).

V. fischeri encodes five proteins with both GGDEF and EAL domains. Proteins that contain both GGDEF and EAL domains typically only have one domain exhibit activity, even if the amino acid motif for the other domain is conserved (2730), though there is evidence of a dual-function protein capable of exhibiting either DGC or PDE activity depending on conditions (31). We therefore expected these dual-function proteins to behave predominantly as DGCs or PDEs. Of the five predicted dual-function proteins, overexpression of VF_0985 increased cellulose production while VF_0094 and VF_0494 decreased cellulose production compared with the empty vector control (Fig. 2A).

Finally, we examined the three predicted “degenerate” c-di-GMP-modulating enzymes, i.e., proteins with intact GGDEF and/or EAL domains but with degenerate GG(D/E)EF and/or ExLxR active site motifs that are not predicted to function. None of these proteins significantly impacted cellulose production (Fig. 2A).

Predicted V. fischeri DGCs and PDEs influence flagellar motility

As a second behavioral output of c-di-GMP levels, we proceeded to assay swimming motility in the same set of strains. We conducted swimming motility assays of strains overexpressing each protein in tryptone broth salt (TBS) soft agar and in TBS soft agar with the addition of either magnesium or calcium, which are known to influence swimming behavior by V. fischeri (54, 70). We observed that most DGCs (21/28) and 6/14 PDEs showed the expected overexpression results of inhibiting or promoting motility, respectively, including known V. fischeri DGCs MifA, MifB, and CasA and known PDE BinA (Fig. 2B). V. campbellii DGC QrgB and V. cholerae PDE VC1086 also showed the expected results (Fig. 2B). Overexpression of either DGC MifA, MifB, or CasA diminished motility under all conditions tested despite having known cation-specific motility phenotypes (Fig. 2B; Fig. S1). MifA and MifB inhibit motility in the presence of magnesium (45), while CasA inhibits motility in the presence of calcium (48), and we suspect that overexpression of the proteins likely amplified their respective DGC activities and bypassed the requirement for the respective cations. One example where we observed a media-specific effect is for VF_0985, which strongly inhibited motility upon overexpression in TBS and TBS-Ca, relative to the empty vector control, but not in TBS-Mg (Fig. 2B; Fig. S1).

Overexpression of predicted degenerate proteins VF_0355 and VF_A0216 did not significantly impact motility (Fig. 2B; Fig. S1). Overexpression of LapD decreased motility in two of the three motility media types (Fig. 2B; Fig. S1), but this is likely independent of c-di-GMP modulation and is consistent with the function of LapD in inhibiting biofilm dispersal (47), which is associated with decreased motility.

Expression level of V. fischeri proteins does not correlate with the magnitude of phenotypes

Of the V. fischeri proteins assayed, 13 did not have significant phenotypes for either cellulose production or motility: DGCs CdgG, VF_1245, VF_1515, VF_A0056, VF_A0476, VF_A0796; PDEs VF_A0706, VF_A0879, VF_A1076, and PdeV; dual-function proteins VF_A0244 and VF_A0475; and predicted degenerate proteins VF_0355 and VF_A0216 (Fig. 2; Fig. S1). This result for these proteins could be due to the lack of enzymatic activity under the conditions tested or could be the result of posttranscriptional regulation that prevents these proteins from being expressed. To test whether the lack of significant phenotypes from these proteins was due to protein expression, we assessed expression of several FLAG-tagged proteins via western blot. We selected proteins with strong phenotypes in both the cellulose and motility assays (MifA, VF_A0057, and VF_A0155), one protein with a phenotype in just the motility assay (VF_A0342), proteins with no significant phenotypes in either assay (VF_1515, VF_A0056, and VF_A0476), and a predicted degenerate protein with no significant phenotypes (VF_A0216). All three proteins with strong phenotypes in both assays were expressed robustly (Fig. 3). Two of the proteins with no significant phenotypes (VF_A0056 and VF_A0476) were expressed, with the intensity of the band for VF_A0056 as strong as the bands for the proteins with significant phenotypes in both assays (Fig. 3). The predicted degenerate protein VF_A0216 was also expressed, as was VF_A0342, which only had a significant motility phenotype (Fig. 3). VF_1515, which had no significant phenotypes, was the only protein tested that had no observable expression via western blot, suggesting that VF_1515 protein is not produced at a substantial level under the conditions tested (Fig. 3). Therefore, while we expect that most proteins expressed from pEVS143 are found at appreciable levels in the cell, including those proteins that do not yield detectable phenotypes, in at least one case, we found that the protein assayed was not expressed stably in the cell. Furthermore, the magnitude of the cellulose and motility phenotypes does not correlate with the protein expression level for proteins that are expressed.

Fig 3.

Western blot of anti-FLAG displays green fluorescent bands in seven lanes, indicating FLAG-tagged proteins, while the blot for anti-RpoA shows red fluorescent bands across all nine lanes

Most V. fischeri proteins tested are expressed from the overexpression vector. Western blot of whole-cell lysates of V. fischeri expressing indicated FLAG-tagged proteins from the pEVS143 vector. Predicted band sizes (kDa) for each protein are indicated in parentheses. Anti-FLAG rabbit IgG was used as the primary antibody, and LI-COR IRDye 800CW goat anti-rabbit IgG was used as the secondary antibody. Anti-RpoA mouse IgG was used as a loading control, binding the RNAP α subunit, and LI-COR IRDye 680RD goat anti-mouse IgG was used as the secondary antibody of the loading control. Western blot is representative of n = 3 biological replicates.

Predicted V. fischeri DGCs and PDEs modulate c-di-GMP reporter levels

Congo red and motility assays revealed that most of the V. fischeri DGCs and PDEs influence phenotypes associated with c-di-GMP. We next asked to what capacity these proteins are capable of modulating c-di-GMP levels using the pFY4535 fluorescent c-di-GMP reporter plasmid (71), which we used previously to quantify c-di-GMP levels in V. fischeri (36). We expected overexpression of DGCs to increase c-di-GMP levels and overexpression of PDEs to decrease c-di-GMP levels relative to the empty vector control. We also expected proteins with the strongest cellulose and/or motility phenotypes to have the strongest effects of c-di-GMP reporter activity. Consistent with their predicted function, overexpression of all 28 predicted DGCs increased c-di-GMP reporter activity, including characterized V. fischeri DGCs MifA and MifB (Fig. S2A). The results for overexpression of MifA and MifB are consistent with published results (45). In contrast to the results with DGCs, upon overexpression, only 4/14 predicted PDEs, VF_0087, VF_A0506, VF_A0526, and VF_A0706, had the expected effect of significantly decreasing c-di-GMP reporter activity (Fig. S2A). These results are also in contrast to the cellulose and motility results, where overexpression of the majority of PDEs elicited at least one of the expected phenotypes, and no PDEs had significant opposite cellulose or motility phenotypes (Fig. 2; Fig. S2D). BinA is a characterized PDE that negatively influences c-di-GMP levels (absence of BinA resulted in increased c-di-GMP compared with wild type) (46). Our results show that BinA overexpression diminished c-di-GMP reporter activity by 57%, but this result was not statistically significant (Fig. S2A). However, the cellulose and motility results for BinA are among the strongest of the PDEs (Fig. 2; Fig. S2D). Similarly, overexpression of known V. cholerae PDE VC1086 also did not significantly alter c-di-GMP reporter activity (Fig. S2A) but did significantly alter cellulose production and motility in the expected directions (Fig. 2; Fig. S2D). Surprisingly, five predicted PDEs, VF_0091, VF_1367, VF_A0344, and VF_A0879, and VF_A1076, significantly increased c-di-GMP reporter activity upon overexpression (Fig. S2A). The same results were observed when the strains were assayed individually rather than in the arrayed 96-well format, with the exception of VF_1367, which did not have significant results in the individual assay format (Fig. S2B). Of these five PDEs, VF_0091 significantly decreased cellulose production and none significantly increased motility, but these phenotypes do not correspond with increased c-di-GMP reporter activity (Fig. 2; Fig. S2D). One interpretation of these results is that the c-di-GMP reporter reports a local level of c-di-GMP while the Congo red and motility assays report global levels. Local c-di-GMP levels measured by the reporter may correspond with global levels for the majority of strains, but not for strains overexpressing some PDEs, where the dynamic range of c-di-GMP levels is much more limited and local pools may be subject to substantial variation from the global dynamics. We previously reported that in a high c-di-GMP strain of V. fischeri, overexpression of PDE VC1086 reduced c-di-GMP reporter activity 1.6-fold when measured with the same reporter (36). However, overexpression with the same vector in wild-type V. fischeri had no effect on the already-low c-di-GMP reporter activity. Therefore, while the c-di-GMP reporter levels were well correlated with c-di-GMP-responsive phenotypes for the DGCs, data from the reporter were not informative for predicting phenotypes from the low basal wild-type levels. To test whether the pFY4535 c-di-GMP biosensor could better report decreased c-di-GMP in a high c-di-GMP background, we overexpressed select PDEs in a strain of V. fischeri deleted for six PDEs (Δ6PDE) and has been demonstrated to have high basal c-di-GMP levels (36). Every PDE tested diminished c-di-GMP reporter activity in the high-c-di-GMP background, including VF_0091 and VF_A1076, which exhibited the highest reporter activity in the wild-type background (Fig. S2C). Dual-function protein VF_0094 diminished reporter activity comparable to the strongest PDE in the assay (Fig. S2C), consistent with the cellulose and motility results for this protein in the wild-type background (Fig. 2). To further probe the accuracy of the c-di-GMP reporter for functional characterization of DGC and PDE activities, we selected several PDE overexpression strains to measure c-di-GMP levels using a commercially available enzyme-linked immunosorbent assay (ELISA) kit. The results of the ELISA c-di-GMP quantification did not agree with the phenotypic characterization of the selected PDEs nor did they agree with the c-di-GMP reporter data (Fig. S3). We also quantified the phenotypic correlation of the reporter data with our Congo red (R2 = 0.69) and motility (R2 = 0.66) results, which was lower in both cases than the correlation of the Congo red and motility phenotypes to each other (R2 = 0.77). Given these questions about the utility of the reporter activity in the wild-type background when c-di-GMP levels are diminished, for our overall question of the catalytic potential of the proteins assayed, we argue that in this case, it is most prudent to infer global c-di-GMP-dependent processes from the phenotypic assays of cellulose production and swimming motility. In the next section, we test this hypothesis through mutation of relevant c-di-GMP active sites.

Select V. fischeri DGCs and PDEs impact motility and biofilm phenotypes through their c-di-GMP catalytic sites

Most of the DGCs and PDEs exhibited the expected cellulose and motility phenotypes upon overexpression (Fig. 2). If the results we observed were due to catalytic function, then mutation of the active sites should impact these phenotypes. Changing the second amino acid in the GGDEF motif to A (62, 72, 73) drastically reduced the effects of MifA, VF_A0057, VF_A0152, and VF_A0398 on cellulose production and motility (Fig. 4). These results confirm that intact GGDEF domains are required for the regulatory functions of these proteins.

Fig 4.

Bar graphs show Congo red binding and migration. They represent color bars indicating the controls, WT DGC, WT PDE (EAL), WT PDE (HD GYP), DGC active site mutant, and PDE active site mutant. Both graphs use the same color coding and significance markers.

Active site residues are required to modulate cellulose production and motility for selected DGCs and PDEs. (A) Quantification of Congo red binding for V. fischeri strains overexpressing the indicated proteins relative to the pRYI039 empty vector control. For each strain, n = 4–5 biological replicates (10 for controls). (B) Quantification of migration through soft (0.3%) agar for V. fischeri strains overexpressing the indicated proteins relative to the pRYI039 empty vector control. For each strain, n = 5 biological replicates (10 for controls). For panels A and B, unpaired t tests were used for statistical analysis, each bar represents the means of biological replicates, error bars represent standard errors of the mean, asterisks represent significance of a mutant relative to the corresponding wild-type protein (*P < 0.01), and numbers represent VF_ locus tags (e.g., VF_0087 and VF_A0056); negative controls pRYI039 and pEVS143 are indicated with a black dot.

VF_A0057 is one of the more interesting predicted DGCs because it has a non-consensus GGDEF domain with a serine instead of a glycine in the first position of the motif (i.e., SGDEF). The altered motif is not functional in V. cholerae CdgG, which led us to predict it to be similarly non-functional in V. fischeri VF_A0057 (72). Surprisingly, though, mutation of the second amino acid of the motif in VF_A0057, resulting in the amino acid sequence SADEF, substantially mitigated the effects of the protein on cellulose production and motility, suggesting that the non-canonical SDGEF motif in this protein is functional and that VF_A0057 likely has DGC activity (Fig. 4). CdgG, a homolog of the non-functional V. cholerae protein CdgG, is another predicted DGC with a non-consensus active site where the first amino acid is a serine: SGEEF. However, overexpression of CdgG or the variant (SAEEF) did not promote cellulose production or inhibit motility (Fig. 4).

To examine the catalytic site of the PDEs, we similarly replaced the first residue of the ExLxR motif with an alanine, a mutation that has been used previously to disrupt EAL domain activity (46, 59, 74, 75). AxLxR mutants of BinA and VF_0087 attenuated the effects of these proteins on cellulose production and motility (Fig. 4). These results confirm previous work (46, 54, 55) and are the first demonstration of the requirement for the active site residues for VF_0087 function.

VF_1367 is one of two predicted HD-GYP domain PDEs encoded by V. fischeri. The motif encoded is HD-GYL, but the presumed HD catalytic dyad for HD superfamily proteins is still intact (23). Here, we changed the second amino acid to an alanine, which has been used to disrupt HD-GYP domain activity (25, 60). Overexpression of an HA-GYL variant of VF_1367 obviated the impact on cellulose production, which was the major phenotype observed on overexpression of the wild-type protein (Fig. 4). Overexpression of active site mutants of predicted and characterized DGCs and PDEs thus supports the predicted biochemical activities of individual proteins and validates our overall approach of overexpressing predicted c-di-GMP-modulating proteins to understand the genome-wide functional landscape.

Challenges in assigning functions for dual-domain proteins

Three of the five V. fischeri dual-function proteins had clear phenotypes in both cellulose production and motility assays, suggesting they may primarily function as DGCs or PDEs (Fig. 2). However, overexpression of proteins with both GGDEF and EAL domains can only hint at whether a protein primarily has DGC or PDE activity and does not discern which domains are active/inactive. To assess whether one, both, or neither of the DGC and PDE domains contribute to the effects of these predicted dual-domain protein, we assayed strains overexpressing GGDEF mutants, EAL mutants, or GGDEF/EAL double mutants of each protein. As one example, phenotypic assays strongly suggested that VF_0985 behaved as a DGC given its impact on cellulose and motility (Fig. 2). A VF_0985 AAL mutant behaved like the wild-type protein in all assays when overexpressed, while a GADEF mutant drastically reduced the effects of VF_0985 on cellulose production and motility (Fig. 5). Interestingly, mutation of the GGDEF domain seemed to reverse the effects of VF_0985: the GGDEF mutant behaved similar to a PDE in both assays (Fig. 5), suggesting the EAL domain may be active. When the VF_0985 double GADEF/AAL mutant was overexpressed, cellulose production resembled the single GGDEF mutant, while little effect on motility was observed (Fig. 5). These results suggest that, under the conditions tested, VF_0985 likely functions predominantly as a DGC but that we may be detecting cryptic PDE activity in the variant in which DGC activity is absent. Active site mutant analysis of the remaining four dual-function proteins similarly suggest a more complicated picture than one dominant domain. Further in-depth studies of these proteins will be required to dissect their roles in cellulose production and motility and the mechanisms by which these proteins perform those roles.

Fig 5.

Bar graphs display Congo red binding and migration, with each bar representing controls, WT DGC/PDE, DGC active site mutant, PDE active site mutant, and double DGC/PDE active site mutant. Both graphs use the same color coding and significance markers.

VF_0985 is the only dual-function protein with strong active site-dependent phenotypes. (A) Quantification of Congo red binding for V. fischeri strains overexpressing the indicated proteins relative to the pRYI039 empty vector control. For each strain, n = 4–5 biological replicates (10 for controls). (B) Quantification of migration through soft (0.3%) agar for V. fischeri strains overexpressing the indicated proteins relative to the pRYI039 empty vector control. For each strain, n = 5 biological replicates (10 for controls). For panels A and B, unpaired t tests were used for statistical analysis, each bar represents the means of biological replicates, error bars represent standard errors of the mean, asterisks represent significance of a mutant relative to the corresponding wild-type protein (*P < 0.05), and numbers represent VF_ locus tags (e.g., VF_0087 and VF_A0056); negative controls pRYI039 and pEVS143 are indicated with a black dot.

DISCUSSION

V. fischeri is an emerging model for studies of c-di-GMP regulation and especially for how c-di-GMP impacts animal host colonization. We previously demonstrated that high global levels of c-di-GMP impair colonization, though it is unknown how levels remain low to facilitate a productive host-microbe symbiosis. An ongoing goal is to elucidate relevant signaling that enables proper c-di-GMP in the host and during transitions to and from the host-associated state. Therefore, the goal of the current study was to identify which of the predicted 50 c-di-GMP-modulating proteins—DGCs, PDEs, dual-function DGC/PDEs, and likely degenerate enzymes—are able to elicit c-di-GMP-responsive phenotypes in V. fischeri. In Fig. 6, we assembled the results from our analyses to demonstrate cellulose production and swimming motility results for all 50 V. fischeri proteins and the two control proteins. Furthermore, we integrated data from a recent study (54) that examined swimming motility of single-gene mutants in the same V. fischeri proteins. The resulting table (Fig. 6) presents a powerful visualization of the current knowledge of the catalytic potential of these gene families. Conducted in different labs, there is remarkable consistency among the results. There are more proteins with significant effects observed upon overexpression (32/50 in at least one motility assay) compared with gene deletion (20/50), which was expected and supports our approach to use the overexpression approach to reveal function in a family where redundancy is expected. The one case in which discrepancies were noted was for DGC VF_A0368, where we had consistent results across all conditions and the deletion approach yielded significant results only on TBS swim plates. The only cases in which a phenotype was observed solely in the deletion study were for DGCs CdgG and VF_A0476 as well as predicted degenerate protein VF_0355, where ΔcdgG, ΔVF_A0476, and ΔVF_0355 strains each yielded the unexpected phenotype of decreased motility and we did not observe any significant cellulose or motility phenotypes upon overexpression of these factors.

Fig 6.

Table categorizes proteins based on their responses to overexpression and gene deletion in Congo red and motility assays. Proteins are grouped into DGCs (GGDEF), PDEs (EAL), PDEs (HD-GYP), DGC/PDEs, and degenerate proteins using various color codes.

Integration of phenotypic data for the V. fischeri DGCs and PDEs. Numbers represent VF_ locus tags (e.g., VF_0087 and VF_A0056); non-V. fischeri controls QrgB and VC1086 are also listed. Overexpression data are from this study; deletion data are integrated from reference 54. Blue coloring indicates phenotypes expected from elevated c-di-GMP, whereas pink indicates phenotypes expected from reduced c-di-GMP. White indicates no significant change. aThis study. bReference 54.

The proteins we observed to exhibit the strongest phenotypes were DGCs VF_1200, VF_A0057, VF_A0152, VF_A0155, VF_A0276, VF_A0368, VF_A0567, and VF_A0692; PDEs VF_1603, VF_2480, VF_A0506, and VF_A0551; and dual-function protein VF_0985 (Fig. 2 and 6). We also identified interesting phenotypes in VF_0985, which inhibits motility only when magnesium is absent. For all of these proteins, little work has been conducted on a mechanistic basis, and our study presents candidates to pursue that may mediate relevant signaling in the host or during key lifestyle transitions. A benefit of the overexpression approach is that it can reveal phenotypes that are not apparent during single deletions. For example, a protein that is expressed during host colonization or in a specific environmental condition, but not during culture growth, may be assayed for function in this manner. Conversely, a limitation of our method is that the likely higher levels of each examined protein obscures natural regulation that will certainly be relevant to understand signaling in vivo. Therefore, this work pares down a complex family of 50 proteins to a narrower set for more focused individual studies.

While the data in Fig. 6 are remarkably consistent, it is clear that there are situations in which protein overexpression impacts motility and not cellulose or motility in some media and not others. In fact, on a fine scale, there are 11 different patterns to the overexpression data among V. fischeri proteins in Fig. 6. This result is even more remarkable given that there was no difference in transcriptional regulation in our experimental setup. Although we detected distinct protein levels that likely suggest posttranscriptional regulation (Fig. 3), steady-state protein levels did not correlate with the magnitude of the cellulose or motility phenotypes observed. Therefore, our results suggest that local signaling effects—e.g., localization and protein-protein interactions—may play a major role in how these factors mediate host interactions. The factors that impacted motility in the expected direction (but did not have a significant affect on cellulose production) were DGCs VF_1350, VF_A0342, VF_A0381, and MifB. Conversely, cellulose production (but not motility) was impacted on overexpression of PDEs VF_0087, VF_0091, VF_1367, and VF_A0526. In the case of the DGCs, all four are predicted to have transmembrane domain(s) (54), raising the possibility that membrane localization and perhaps localization at the flagellar pole may impact the motility-specific phenotype.

The effects of local signaling and protein-protein interactions by c-di-GMP-modulating proteins are particularly exemplified by dual-function proteins as has been demonstrated across Gram-negative bacteria. Pseudomonas aeruginosa RmcA encodes GGDEF and EAL domains, both of which are functional, but subcellular localization of RmcA mediated by interaction with the response regulator CbrB activates RmcA PDE activity, subsequently reducing type III secretion system gene expression and increasing biofilm formation (30). V. cholerae dual-function protein MbaA interacts with the periplasmic binding protein NspS, which senses norspermidine and activates MbaA DGC activity to increase the local c-di-GMP pool (76, 77). c-di-GMP synthesized by MbaA binds to specific high-affinity biofilm effectors when norspermidine levels are low, sensitizing the cell to norspermidine (77). Pseudomonas fluorescens encodes 43 proteins that metabolize c-di-GMP, and when tested across a broad range of conditions, it was determined that ligand signaling, protein-protein interactions, and/or transcriptional regulation are all central to c-di-GMP signaling, thus highlighting the importance of local c-di-GMP signaling (78). This backdrop of growing evidence for local signaling and regulated activity of distinct DGCs and PDEs provide hints as to where such regulation could occur in V. fischeri given the unique patterns in our data. Recent publication of a more sensitive reporter that is amenable to single-cell imaging may be a valuable tool to investigate both the levels and subcellular dynamics of c-di-GMP in V. fischeri (79).

We previously demonstrated that global V. fischeri c-di-GMP levels need to be kept sufficiently low to successfully colonize squid (36), but the specific signals and pathways involved are yet to be determined. During colonization initiation, V. fischeri responds to squid-derived signals to help guide them to the light organ (37, 8083). Therefore, it is likely that one or more squid-specific signals may be sensed by c-di-GMP-modulating proteins to elicit effects on certain biofilm and/or motility pathways. Our study presents a set of DGCs and PDEs that are demonstrably functional in multiple assays in V. fischeri and provide strong candidates as proteins to regulate c-di-GMP levels to facilitate functional and reproducible squid host colonization.

MATERIALS AND METHODS

Bacterial strains, plasmids, and media

V. fischeri and E. coli strains used in this study are listed in Table 1. Plasmids used in this study are listed in Table 2. V. fischeri strains were grown at 25°C in Luria-Bertani salt (LBS) medium (per liter: 25 g Difco LB broth [BD], 10 g NaCl, and 50 mM Tris buffer [pH 7.5]) or TBS medium (per liter: 10 g Bacto Tryptone [Gibco], 20 g NaCl, 35 mM MgSO4 [where noted], 10 mM CaCl2 [where noted], and 50 mM Tris buffer [pH 7.5]) where noted. E. coli strains used for cloning and conjugation were grown at 37°C in Luria-Bertani (LB) medium (per liter: 25 g Difco LB broth [BD]). When needed, antibiotics were added to the media at the following concentrations: kanamycin, 100 µg/mL for V. fischeri and 50 µg/mL for E. coli, and gentamicin, 2.5 µg/mL for V. fischeri and 5 µg/mL for E. coli. When needed, 100 µM IPTG was added to the media. For Congo red media, 40 µg/mL Congo red and 15 µg/mL Coomassie blue were added to LBS. When needed, growth media were solidified using 1.5% agar. Plasmids were introduced from E. coli strains into V. fischeri strains using standard techniques (84, 85).

TABLE 1.

Strains

Strain Genotype Source or reference(s)
V. fischeri
 MJM1100 = ES114 Natural isolate, squid light organ (Mandel Lab Stock) (50, 86)
 MJM2775 MJM1100/pEVS143 (65)
 MJM4094 MJM1100/pRYI039 This study
 MJM3822 MJM1100/pEVS143-QrgB This study (plasmid from Chris Waters)
 MJM3823 MJM1100/pEVS143-VC1086 This study (plasmid from Chris Waters)
 MJM3091 MJM1100/pEVS143-VF_0087 This study
 MJM3092 MJM1100/pEVS143-VF_0091 This study
 MJM3093 MJM1100/pEVS143-VF_0094 This study
 MJM3094 MJM1100/pEVS143-VF_0355 This study
 MJM2766 MJM1100/pEVS143-VF_0494 This study
 MJM2772 MJM1100/pEVS143-VF_0596 This study
 MJM3815 MJM1100/pEVS143-VF_0985 This study
 MJM2773 MJM1100/pEVS143-VF_0989 This study
 MJM3095 MJM1100/pEVS143-VF_1200 This study
 MJM3096 MJM1100/pEVS143-VF_1245 This study
 MJM3097 MJM1100/pEVS143-VF_1350 This study
 MJM3098 MJM1100/pEVS143-VF_1367 This study
 MJM3099 MJM1100/pEVS143-VF_1515 This study
 MJM6214 MJM1100/pEVS143-VF_1561 This study
 MJM3820 MJM1100/pEVS143-VF_1603 This study
 MJM3100 MJM1100/pEVS143-VF_1639 This study
 MJM3932 MJM1100/pEVS143-VF_2261 This study
 MJM3101 MJM1100/pEVS143-VF_2362 This study
 MJM3821 MJM1100/pEVS143-VF_2480 This study
 MJM2767 MJM1100/pEVS143-VF_A0056 This study
 MJM3102 MJM1100/pEVS143-VF_A0057 This study
 MJM2769 MJM1100/pEVS143-VF_A0152 This study
 MJM3103 MJM1100/pEVS143-VF_A0155 This study
 MJM3816 MJM1100/pEVS143-VF_A0216 This study
 MJM3818 MJM1100/pEVS143-VF_A0244 This study
 MJM2770 MJM1100/pEVS143-VF_A0276 This study
 MJM3104 MJM1100/pEVS143-VF_A0323 This study
 MJM6213 MJM1100/pEVS143-VF_A0342 This study
 MJM3106 MJM1100/pEVS143-VF_A0343 This study
 MJM3814 MJM1100/pEVS143-VF_A0344 This study
 MJM3824 MJM1100/pEVS143-VF_A0344 This study
 MJM3933 MJM1100/pEVS143-VF_A0368 This study
 MJM2768 MJM1100/pEVS143-VF_A0368 This study
 MJM3107 MJM1100/pEVS143-VF_A0381 This study
 MJM3108 MJM1100/pEVS143-VF_A0398 This study
 MJM3109 MJM1100/pEVS143-VF_A0475 This study
 MJM3817 MJM1100/pEVS143-VF_A0476 This study
 MJM3110 MJM1100/pEVS143-VF_A0526 This study
 MJM6215 MJM1100/pEVS143-VF_A0551 This study
 MJM3112 MJM1100/pEVS143-VF_A0567 This study
 MJM3113 MJM1100/pEVS143-VF_A0692 This study
 MJM3114 MJM1100/pEVS143-VF_A0706 This study
 MJM3115 MJM1100/pEVS143-VF_A0796 This study
 MJM3116 MJM1100/pEVS143-VF_A0879 This study
 MJM3117 MJM1100/pEVS143-VF_A0959 This study
 MJM3819 MJM1100/pEVS143-VF_A0976 This study
 MJM2771 MJM1100/pEVS143-VF_A1012 This study
 MJM2765 MJM1100/pEVS143-VF_A1038 This study
 MJM3118 MJM1100/pEVS143-VF_A1076 This study
 MJM3119 MJM1100/pEVS143-VF_A1166 This study
 MJM4289 MJM1100/pEVS143-VF_0989-FLAG This study
 MJM4291 MJM1100/pEVS143-VF_A0155-FLAG This study
 MJM4293 MJM1100/pEVS143-VF_A0057-FLAG This study
 MJM6170 MJM1100/pEVS143-VF_A0056-FLAG This study
 MJM6171 MJM1100/pEVS143-VF_1515-FLAG This study
 MJM6193 MJM1100/pEVS143-VF_A0476-FLAG This study
 MJM6216 MJM1100/pEVS143-VF_A0342-FLAG This study
 MJM6220 MJM1100/pEVS143-VF_A0216-FLAG This study
 MJM5574 MJM1100/pEVS143-VF_0091(GAAEF, AAL) This study
 MJM5573 MJM1100/pEVS143-VF_0091(GAAEF) This study
 MJM5263 MJM1100/pEVS143-VF_0094(AAL, GADEF) This study
 MJM5095 MJM1100/pEVS143-VF_0094(AAL) This study
 MJM5096 MJM1100/pEVS143-VF_0094(GADEF) This study
 MJM5099 MJM1100/pEVS143-VF_0596(SAEEF) This study
 MJM4092 MJM1100/pEVS143-VF_0989(GAEEF) This study
 MJM4084 MJM1100/pEVS143-VF_A0057(SADEF) This study
 MJM5572 MJM1100/pEVS143-VF_A0152(GADEF) This study
 MJM5256 MJM1100/pEVS143-VF_A0244(AAL, GADEF) This study
 MJM5097 MJM1100/pEVS143-VF_A0244(AAL) This study
 MJM5254 MJM1100/pEVS143-VF_A0244(GADEF) This study
 MJM5255 MJM1100/pEVS143-VF_A0475(AAL) This study
 MJM5098 MJM1100/pEVS143-VF_A0475(GADEF) This study
 MJM5100 MJM1100/pEVS143-VF_A0796(GAEEF) This study
 MJM5354 MJM1100/pEVS143-VF_A0976(GADEF) This study
 MJM4296 MJM1100/pEVS143-VF_A1038(AAL) This study
 MJM4106 MJM1100/pRYI039;pFY4535 This study
 MJM4821 MJM1100/pEVS143-QrgB;pFY4535 This study
 MJM4971 MJM1100/pEVS143-VC1086;pFY4535 This study
 MJM4767 MJM1100/pEVS143-VF_0087;pFY4535 This study
 MJM4793 MJM1100/pEVS143-VF_0091;pFY4535 This study
 MJM4794 MJM1100/pEVS143-VF_0094;pFY4535 This study
 MJM4795 MJM1100/pEVS143-VF_0355;pFY4536 This study
 MJM4686 MJM1100/pEVS143-VF_0494; pFY4535 This study
 MJM4791 MJM1100/pEVS143-VF_0596;pFY4535 This study
 MJM4689 MJM1100/pEVS143-VF_0985; pFY4535 This study
 MJM4024 MJM1100/pEVS143-VF_0989;pFY4535 This study
 MJM4796 MJM1100/pEVS143-VF_1200;pFY4535 This study
 MJM4797 MJM1100/pEVS143-VF_1245;pFY4535 This study
 MJM4798 MJM1100/pEVS143-VF_1350;pFY4535 This study
 MJM4687 MJM1100/pEVS143-VF_1367; pFY4535 This study
 MJM4799 MJM1100/pEVS143-VF_1515;pFY4535 This study
 MJM6218 MJM1100/pEVS143-VF_1561;pFY4535 This study
 MJM4769 MJM1100/pEVS143-VF_1603;pFY4535 This study
 MJM4768 MJM1100/pEVS143-VF_1639;pFY4535 This study
 MJM4770 MJM1100/pEVS143-VF_2261;pFY4535 This study
 MJM4800 MJM1100/pEVS143-VF_2362;pFY4535 This study
 MJM4820 MJM1100/pEVS143-VF_2480;pFY4535 This study
 MJM4787 MJM1100/pEVS143-VF_A0056;pFY4535 This study
 MJM4108 MJM1100/pEVS143-VF_A0057;pFY4535 This study
 MJM4788 MJM1100/pEVS143-VF_A0152;pFY4535 This study
 MJM4110 MJM1100/pEVS143-VF_A0155;pFY4535 This study
 MJM4816 MJM1100/pEVS143-VF_A0216;pFY4535 This study
 MJM4818 MJM1100/pEVS143-VF_A0244;pFY4535 This study
 MJM4789 MJM1100/pEVS143-VF_A0276;pFY4535 This study
 MJM4801 MJM1100/pEVS143-VF_A0323;pFY4535 This study
 MJM6217 MJM1100/pEVS143-VF_A0342;pFY4535 This study
 MJM4803 MJM1100/pEVS143-VF_A0343;pFY4536 This study
 MJM4815 MJM1100/pEVS143-VF_A0344;pFY4535 This study
 MJM4822 MJM1100/pEVS143-VF_A0368;pFY4535 This study
 MJM4804 MJM1100/pEVS143-VF_A0381;pFY4535 This study
 MJM4688 MJM1100/pEVS143-VF_A0398; pFY4535 This study
 MJM4805 MJM1100/pEVS143-VF_A0475;pFY4535 This study
 MJM4817 MJM1100/pEVS143-VF_A0476;pFY4535 This study
 MJM4823 MJM1100/pEVS143-VF_A0506;pFY4535 This study
 MJM4806 MJM1100/pEVS143-VF_A0526;pFY4535 This study
 MJM6219 MJM1100/pEVS143-VF_A0551;pFY4535 This study
 MJM4808 MJM1100/pEVS143-VF_A0567;pFY4535 This study
 MJM4809 MJM1100/pEVS143-VF_A0692;pFY4535 This study
 MJM4203 MJM1100/pEVS143-VF_A0706; pFY4535 This study
 MJM4810 MJM1100/pEVS143-VF_A0796;pFY4535 This study
 MJM4811 MJM1100/pEVS143-VF_A0879;pFY4535 This study
 MJM4812 MJM1100/pEVS143-VF_A0959;pFY4535 This study
 MJM4819 MJM1100/pEVS143-VF_A0976;pFY4535 This study
 MJM4790 MJM1100/pEVS143-VF_A1012;pFY4535 This study
 MJM4023 MJM1100/pEVS143-VF_A1038;pFY4535 This study
 MJM4813 MJM1100/pEVS143-VF_A1076;pFY4535 This study
 MJM4814 MJM1100/pEVS143-VF_A1166;pFY4535 This study
 MJM5576 MJM1100/pFY4535;pEVS143-VF_0091(GAAEF) This study
 MJM5659 MJM1100/pFY4535;pEVS143-VF_0091(AAL) This study
 MJM5637 MJM1100/pFY4535;pEVS143-VF_0091(GAAEF,AAL) This study
 MJM5638 MJM1100/pFY4535;pEVS143-VF_0094(GADEF) This study
 MJM5639 MJM1100/pFY4535;pEVS143-VF_0094(AAL) This study
 MJM5640 MJM1100/pFY4535;pEVS143-VF_0094(GADEF,AAL) This study
 MJM5226 MJM1100/pEVS143-VF_0094(AAL);pFY4535 This study
 MJM5227 MJM1100/pEVS143-VF_0094(GADEF);pFY4535 This study
 MJM4969 MJM1100/pEVS143-0494(AAL);pFY4535 This study
 MJM4970 MJM1100/pEVS143-0494(GADEF);pFY4535 This study
 MJM5645 MJM1100/pFY4535;pEVS143-VF_0494(AAL,GADEF) This study
 MJM5641 MJM1100/pFY4535;pEVS143-VF_0596(SAEEF) This study
 MJM5642 MJM1100/pFY4535;pEVS143-VF_0985(GADEF) This study
 MJM5643 MJM1100/pFY4535;pEVS143-VF_0985(AVL) This study
 MJM5644 MJM1100/pFY4535;pEVS143-VF_0985(GADEF,AVL) This study
 MJM4107 MJM1100/pEVS143-VF_0989(GAEEF);pFY4535 This study
 MJM5648 MJM1100/pFY4535;pEVS143-VF_1639(GAEEF) This study
 MJM4109 MJM1100/pEVS143-VF_A0057(SADEF);pFY4535 This study
 MJM5575 MJM1100/pFY4535;pEVS143-VF_A0152(GADEF) This study
 MJM5655 MJM1100/pFY4535;pEVS143-VF_A0244(AAL) This study
 MJM5646 MJM1100/pFY4535;pEVS143-VF_A0244(GADEF) This study
 MJM5656 MJM1100/pFY4535;pEVS143-VF_A0244(AAL, GADEF) This study
 MJM5647 MJM1100/pFY4535;pEVS143-VF_A0344(AVL) This study
 MJM5650 MJM1100/pFY4535;pEVS143-VF_A0475(AAL) This study
 MJM5649 MJM1100/pFY4535;pEVS143-VF_A0475(GADEF) This study
 MJM5651 MJM1100/pFY4535;pEVS143-VF_A0475(AAL,GADEF) This study
 MJM5654 MJM1100/pFY4535;pEVS143-VF_A0796(GAEEF) This study
 MJM5652 MJM1100/pFY4535;pEVS143-VF_A0976(GADEF) This study
 MJM5653 MJM1100/pFY4535;pEVS143-VF_A1038(AAL) This study
 MJM4106 Δ6PDE/pRYI039;pFY4535 This study
 MJM5861 Δ6PDE/pVF_0087;pFY4535 This study
 MJM5884 Δ6PDE/pVF_0091;pFY4535 This study
 MJM5862 Δ6PDE/pVF_0494;pFY4535 This study
 MJM4399 Δ6PDE/pVF_1367;pFY4535 This study
 MJM4400 Δ6PDE/pVF_1603;pFY4535 This study
 MJM4401 Δ6PDE/pVF_2480;pFY4535 This study
 MJM5863 Δ6PDE/pVF_A0216;pFY4535 This study
 MJM5864 Δ6PDE/pVF_A0244;pFY4535 This study
 MJM4202 Δ6PDE/pVF_A0506;pFY4535 This study
 MJM4204 Δ6PDE/pVF_A0706;pFY4535 This study
 MJM5885 Δ6PDE/pVF_A1014;pFY4535 This study
 MJM4205 Δ6PDE/pVF_A1038;pFY4535 This study
 MJM5866 Δ6PDE/pVF_A1076;pFY4535 This study
 MJM5867 Δ6PDE/pVF_A1166;pFY4535 This study
 MJM4403 Δ6PDE/pVC1086;pFY4535 This study
E. coli
 MJM534 CC118 λpir/pEVS104 (84)
 MJM2466 DH5α λpir/pEVS143 (65)
 MJM3999 NEB5α/pFY4535 (71)
 MJM4064 NEB5α/pEVS143-ΔGFP-CmR This study
 MJM2470 DH5α λpir/pEVS143-VC1086 This study (plasmid from Chris Waters)
 MJM2468 DH5α λpir/pEVS143-QrgB This study (plasmid from Chris Waters)
 MJM2524 NEB5α/pEVS143-VF_0087 This study
 MJM2521 NEB5α/pEVS143-VF_0091 This study
 MJM2811 NEB5α/pEVS143-VF_0094 This study
 MJM2516 NEB5α/pEVS143-VF_0355 This study
 MJM2500 NEB5α/pEVS143-VF_0494 This study
 MJM2506 NEB5α/pEVS143-VF_0596 This study
 MJM2525 NEB5α/pEVS143-VF_0985 This study
 MJM2507 NEB5α/pEVS143-VF_0989 This study
 MJM2526 NEB5α/pEVS143-VF_1200 This study
 MJM2807 NEB5α/pEVS143-VF_1245 This study
 MJM2522 NEB5α/pEVS143-VF_1350 This study
 MJM2518 NEB5α/pEVS143-VF_1367 This study
 MJM2527 NEB5α/pEVS143-VF_1515 This study
 MJM6201 NEB5α/pEVS143-VF_1561 This study
 MJM3089 NEB5α/pEVS143-VF_1603 This study
 MJM2509 NEB5α/pEVS143-VF_1639 This study
 MJM2528 NEB5α/pEVS143-VF_2261 This study
 MJM2515 NEB5α/pEVS143-VF_2362 This study
 MJM2815 NEB5α/pEVS143-VF_2432 This study
 MJM3090 NEB5α/pEVS143-VF_2480 This study
 MJM2501 NEB5α/pEVS143-VF_A0056 This study
 MJM2519 NEB5α/pEVS143-VF_A0057 This study
 MJM2503 NEB5α/pEVS143-VF_A0152 This study
 MJM2802 NEB5α/pEVS143-VF_A0155 This study
 MJM2803 NEB5α/pEVS143-VF_A0216 This study
 MJM2806 NEB5α/pEVS143-VF_A0244 This study
 MJM2504 NEB5α/pEVS143-VF_A0276 This study
 MJM2809 NEB5α/pEVS143-VF_A0323 This study
 MJM6200 NEB5α/pEVS143-VF_A0342 This study
 MJM2512 NEB5α/pEVS143-VF_A0343 This study
 MJM2520 NEB5α/pEVS143-VF_A0344 This study
 MJM2502 NEB5α/pEVS143-VF_A0368 This study
 MJM2513 NEB5α/pEVS143-VF_A0381 This study
 MJM2805 NEB5α/pEVS143-VF_A0398 This study
 MJM2523 NEB5α/pEVS143-VF_A0475 This study
 MJM2804 NEB5α/pEVS143-VF_A0476 This study
 MJM3982 DH5α λpir/pEVS143-VF_A0506 This study
 MJM2810 NEB5α/pEVS143-VF_A0526 This study
 MJM6202 NEB5α/pEVS143-VF_A0551 This study
 MJM2510 NEB5α/pEVS143-VF_A0567 This study
 MJM2517 NEB5α/pEVS143-VF_A0692 This study
 MJM2529 NEB5α/pEVS143-VF_A0706 This study
 MJM2511 NEB5α/pEVS143-VF_A0796 This study
 MJM2813 NEB5α/pEVS143-VF_A0879 This study
 MJM2808 NEB5α/pEVS143-VF_A0959 This study
 MJM2812 NEB5α/pEVS143-VF_A0976 This study
 MJM2505 NEB5α/pEVS143-VF_A1012 This study
 MJM4907 DH5α λpir/pEVS143-VF_A1014 This study
 MJM2499 NEB5α/pEVS143-VF_A1038 This study
 MJM2814 NEB5α/pEVS143-VF_A1076 This study
 MJM2801 NEB5α/pEVS143-VF_A1166 This study
 MJM4280 DH5α λpir/pEVS143-VF_0989-FLAG This study
 MJM4282 DH5α λpir/pEVS143-VF_A0155-FLAG This Study
 MJM4284 DH5α λpir/pEVS143-VF_A0057-FLAG This study
 MJM6158 DH5α λpir/pEVS143-VF_A0056-FLAG This study
 MJM6159 DH5α λpir/pEVS143-VF_1515-FLAG This study
 MJM6191 DH5α λpir/pEVS143-VF_A0216-FLAG This study
 MJM6192 DH5α λpir/pEVS143-VF_A0476-FLAG This study
 MJM6204 DH5α λpir/pEVS143-VF_A0342-FLAG This study
 MJM4921 DH5α λpir/pEVS143-VF_0087(ACL) This study
 MJM5307 NEB5α/pEVS143-VF_0091(AAL) This study
 MJM5551 NEB5α/pEVS143-VF_0091(GAAEF, AAL) This study
 MJM5550 NEB5α/pEVS143-VF_0091(GAAEF) This study
 MJM5248 DH5α λpir/pEVS143-VF_0094(AAL, GADEF) This study
 MJM5038 DH5α λpir/pEVS143-VF_0094(AAL) This study
 MJM5039 DH5α λpir/pEVS143-VF_0094(GADEF) This study
 MJM4922 DH5α λpir/pEVS143-VF_0494(AAL) This study
 MJM4923 DH5α λpir/pEVS143-VF_0494(GADEF) This study
 MJM5042 DH5α λpir/pEVS143-VF_0596(SAEEF) This study
 MJM4935 DH5α λpir/pEVS143-VF_0985(AVL) This study
 MJM5499 NEB5α/pEVS143-VF_0985(GADEF, AVL) This study
 MJM4974 DH5α λpir/pEVS143-VF_0985(GADEF) This study
 MJM4065 NEB5α/pEVS143-VF_0989(GAEEF) This study
 MJM4287 NEB5α/pEVS143-VF_1038(AAL) This study
 MJM4936 DH5α λpir/pEVS143-VF_1367(HAIGK) This study
 MJM3179 NEB5α/pEVS143-VF_1639(GAEEF) This study
 MJM4070 NEB5α/pEVS143-VF_A0057(SADEF) This study
 MJM3180 NEB5α/pEVS143-VF_A0152(GADEF) This study
 MJM5249 DH5α λpir/pEVS143-VF_A0244(AAL, GADEF) This study
 MJM5040 DH5α λpir/pEVS143-VF_A0244(AAL) This study
 MJM5093 DH5α λpir/pEVS143-VF_A0244(GADEF) This study
 MJM5301 NEB5α/pEVS143-VF_A0344(AVL) This study
 MJM4924 DH5α λpir/pEVS143-VF_A0398(GADEF) This study
 MJM5232 DH5α λpir/pEVS143-VF_A0475(AAL, GADEF) This study
 MJM5094 DH5α λpir/pEVS143-VF_A0475(AAL) This study
 MJM5041 DH5α λpir/pEVS143-VF_A0475(GADEF) This study
 MJM5043 DH5α λpir/pEVS143-VF_A0796(GAEEF) This study

TABLE 2.

Plasmids

Plasmid Description Source or reference(s)
pEVS104 Conjugal helper plasmid (KanR) (84)
pEVS143 IPTG-inducible overexpression vector (KanR) (65)
pRYI039 Empty vector control for pEVS143 constructs; pEVS143-Δgfp-cmR (KanR) This study
pEVS143-VC1086 pEVS143 carrying VC1086 (KanR) (59)
pEVS143-QrgB pEVS143 carrying qrgB (KanR) (59)
pEVS143-VF_0087 pEVS143 carrying VF_0087 (KanR) This study
pEVS143-VF_0091 pEVS143 carrying VF_0091 (KanR) This study
pEVS143-VF_0094 pEVS143 carrying VF_0094 (KanR) This study
pEVS143-VF_0355 pEVS143 carrying VF_0355 (KanR) This study
pEVS143-VF_0494 pEVS143 carrying VF_0494 (KanR) This study
pEVS143-VF_0596 pEVS143 carrying VF_0596 (KanR) This study
pEVS143-VF_0985 pEVS143 carrying VF_0985 (KanR) This study
pEVS143-VF_0989 pEVS143 carrying VF_0989 (mifA) (KanR) This study
pEVS143-VF_1200 pEVS143 carrying VF_1200 (KanR) This study
pEVS143-VF_1245 pEVS143 carrying VF_1245 (KanR) This study
pEVS143-VF_1350 pEVS143 carrying VF_1350 (KanR) This study
pEVS143-VF_1367 pEVS143 carrying VF_1367 (KanR) This study
pEVS143-VF_1515 pEVS143 carrying VF_1515 (KanR) This study
pEVS143-VF_1561 pEVS143 carrying VF_1561 (KanR) This study
pEVS143-VF_1603 pEVS143 carrying VF_1603 (KanR) This study
pEVS143-VF_1639 pEVS143 carrying VF_1639 (casA) (KanR) This study
pEVS143-VF_2261 pEVS143 carrying VF_2261 (KanR) This study
pEVS143-VF_2362 pEVS143 carrying VF_2362 (KanR) This study
pEVS143-VF_2432 pEVS143 carrying VF_2432 (KanR) This study
pEVS143-VF_2480 pEVS143 carrying VF_2480 (KanR) This study
pEVS143-VF_A0056 pEVS143 carrying VF_A0056 (KanR) This study
pEVS143-VF_A0057 pEVS143 carrying VF_A0057 (KanR) This study
pEVS143-VF_A0152 pEVS143 carrying VF_A0152 (KanR) This study
pEVS143-VF_A0155 pEVS143 carrying VF_A0155 (KanR) This study
pEVS143-VF_A0216 pEVS143 carrying VF_A0216 (KanR) This study
pEVS143-VF_A0244 pEVS143 carrying VF_A0244 (KanR) This study
pEVS143-VF_A0276 pEVS143 carrying VF_A0276 (KanR) This study
pEVS143-VF_A0323 pEVS143 carrying VF_A0323 (KanR) This study
pEVS143-VF_A0342 pEVS143 carrying VF_A0342 (KanR) This study
pEVS143-VF_A0343 pEVS143 carrying VF_A0343 (KanR) This study
pEVS143-VF_A0344 pEVS143 carrying VF_A0344 (KanR) This study
pEVS143-VF_A0368 pEVS143 carrying VF_A0368 (KanR) This study
pEVS143-VF_A0381 pEVS143 carrying VF_A0381 (KanR) This study
pEVS143-VF_A0398 pEVS143 carrying VF_A0398 (KanR) This study
pEVS143-VF_A0475 pEVS143 carrying VF_A0475 (KanR) This study
pEVS143-VF_A0476 pEVS143 carrying VF_A0476 (KanR) This study
pEVS143-VF_A0506 pEVS143 carrying VF_A0506 (KanR) This study
pEVS143-VF_A0526 pEVS143 carrying VF_A0526 (KanR) This study
pEVS143-VF_A0551 pEVS143 carrying VF_A0551 (KanR) This study
pEVS143-VF_A0567 pEVS143 carrying VF_A0567 (KanR) This study
pEVS143-VF_A0692 pEVS143 carrying VF_A0692 (KanR) This study
pEVS143-VF_A0706 pEVS143 carrying VF_A0706 (KanR) This study
pEVS143-VF_A0796 pEVS143 carrying VF_0796 (KanR) This study
pEVS143-VF_A0879 pEVS143 carrying VF_A0879 (KanR) This study
pEVS143-VF_A0959 pEVS143 carrying VF_A0959 (mifB) (KanR) This study
pEVS143-VF_A0976 pEVS143 carrying VF_A0976 (KanR) This study
pEVS143-VF_A1012 pEVS143 carrying VF_A1012 (KanR) This study
pEVS143-A1014 pEVS143 carrying VF_A1014 (pdeV) (KanR) This study
pEVS143-VF_A1038 pEVS143 carrying VF_A1038 (binA)
(KanR)
This study
pEVS143-VF_A1076 pEVS143 carrying VF_A1076 (KanR) This study
pEVS143-VF_A1166 pEVS143 carrying VF_A1166 (lapD) (KanR) This study
pEVS143-VF_0989-FLAG pEVS143 carrying VF_0989-FLAG (mifA) (KanR) This study
pEVS143-VF_A0155-FLAG pEVS143 carrying VF_A0155-FLAG (KanR) This study
pEVS143-VF_A0057-FLAG pEVS143 carrying VF_A0057-FLAG (KanR) This study
pEVS143-VF_1515-FLAG pEVS143 carrying VF_1515-FLAG (KanR) This study
pEVS143-VF_A0056-FLAG pEVS143 carrying VF_A0056-FLAG (KanR) This study
pEVS143-VF_A0216-FLAG pEVS143 carrying VF_A0216-FLAG (KanR) This study
pEVS143-VF_A0342-FLAG pEVS143 carrying VF_A0342-FLAG (KanR) This study
pEVS143-VF_A0476-FLAG pEVS143 carrying VF_A0476-FLAG (KanR) This study
pEVS143-VF_0087(ACL) pEVS143 carrying VF_0087 with ACL active site mutation (KanR) This study
pEVS143-VF_0091(AAL) pEVS143 carrying VF_0091 with AAL active site mutation (KanR) This study
pEVS143-VF_0091(GAAEF, AAL) pEVS143 carrying VF_0091 with GAAEF and AAL active site mutations (KanR) This study
pEVS143-VF_0091(GAAEF) pEVS143 carrying VF_0091 with GAAEF active site mutation (KanR) This study
pEVS143-VF_0094(AAL, GADEF) pEVS143 carrying VF_0094 with AAL and GADEF active site mutations (KanR) This study
pEVS143-VF_0094(AAL) pEVS143 carrying VF_0094 with AAL active site mutation (KanR) This study
pEVS143-VF_0094(GADEF) pEVS143 carrying VF_0094 with GADEF active site mutation (KanR) This study
pEVS143-VF_0494(AAL) pEVS143 carrying VF_0494 with AAL active site mutation (KanR) This study
pEVS143-VF_0494(GADEF) pEVS143 carrying VF_0494 with GADEF active site mutation (KanR) This study
pEVS143-VF_0596(SAEEF) pEVS143 carrying VF_0596 with SAEEF active site mutation (KanR) This study
pEVS143-VF_0985(AVL) pEVS143 carrying VF_0985 with AVL active site mutation (KanR) This study
pEVS143-VF_0985(GADEF, AVL) pEVS143 carrying VF_0985 with GADEF and AVL active site mutations (KanR) This study
pEVS143-VF_0985(GADEF) pEVS143 carrying VF_0985 with GADEF active site mutation (KanR) This study
pEVS143-MifA(GAEEF) pEVS143 carrying VF_0989 (mifA) with GAEEF active site mutation (KanR) This study
pEVS143-VF_1367(HAIGK) pEVS143 carrying VF_1367 with HAIGK active site mutation (KanR) This study
pEVS143-VF_CasA(GAEEF) pEVS143 carrying VF_1639 (casA) with GAEEF active site mutation (KanR) This study
pEVS143-VF_A0057(SADEF) pEVS143 carrying VF_A0057 with SADEF active site mutation (KanR) This study
pEVS143-VF_A0152(GADEF) pEVS143 carrying VF_A0152 with GADEF active site mutation (KanR) This study
pEVS143-VF_A0244(AAL, GADEF) pEVS143 carrying VF_A0244 with AAL and GADEF active site mutations (KanR) This study
pEVS143-VF_A0244(AAL) pEVS143 carrying VF_A0244 with AAL active site mutation (KanR) This study
pEVS143-VF_A0244(GADEF) pEVS143 carrying VF_A0244 with GADEF active site mutation (KanR) This study
pEVS143-VF_A0344(AVL) pEVS143 carrying VF_A0344 with AVL active site mutation (KanR) This study
pEVS143-VF_A0398(GADEF) pEVS143 carrying VF_A0398 with GADEF active site mutation (KanR) This study
pEVS143-VF_A0475(AAL, GADEF) pEVS143 carrying VF_A0475 with AAL and GADEF active site mutations (KanR) This study
pEVS143-VF_A0475(AAL) pEVS143 carrying VF_A0475 with AAL active site mutation (KanR) This study
pEVS143-VF_A0475(GADEF) pEVS143 carrying VF_A0475 with GADEF active site mutation (KanR) This study
pEVS143-VF_A0796(GAEEF) pEVS143 carrying VF_A0796 with GAEEF active site mutation (KanR) This study
pEVS143-BinA(AAL) pEVS143 carrying VF_A1038 (binA) with AAL active site mutation (KanR) This study
pFY4535 c-di-GMP reporter plasmid (GentR) (71)

DNA synthesis and sequencing

Primers used in this study are listed in Table 3 and were synthesized by Integrated DNA Technologies (Coralville, IA). Gibson primers for all plasmids except pRYI039 and pEVS143-VF_A0506 were designed using the NEBuilder online tool. Site-directed mutagenesis primers were designed using the NEBaseChanger online tool. Full inserts for cloned constructs and active site mutant constructs were confirmed by Sanger Sequencing at Northwestern University Center for Genetic Medicine, ACGT Inc. (Wheeling, IL), Functional Biosciences (Madison, WI), and/or whole plasmid sequencing by Plasmidsaurus (Eugene, OR). Sequence data were analyzed using DNASTAR or Benchling. PCR to amplify constructs for cloning and sequencing was performed using Pfx50 DNA polymerase (Invitrogen) or Q5 High-Fidelity DNA polymerase (NEB). Diagnostic PCR was performed using GoTaq polymerase (Promega).

TABLE 3.

Primers

Primer name Sequence (5′−3′) Notes
RYI354 GGAAGCTAAAGATCCGGTGAttgattgagcaa Forward primer to amplify pEVS143 without gfp and cmR cassettes for Gibson assembly of pRYI039
RYI355 TCACCGGATCTTTAGCTTCCttagctcctgaattc Reverse primer to amplify pEVS143 without gfp and cmR cassettes for Gibson assembly of pRYI039
pEVS143_expF GATCCGGTGATTGATTGAGCAA Forward primer to amplify pEVS143 excluding gfp and cmR for Gibson assembly to insert ORF of gene of interest
pEVS143_expR TTTAGCTTCCTTAGCTCCTGAATTC Reverse primer to amplify pEVS143 excluding gfp and cmR for Gibson assembly to insert ORF of gene of interest
0087_F gagctaaggaagctaaaATGCAAACTCTCTCATTTAGTG Forward primer to amplify VF_0087 for Gibson assembly into pEVS143
0087_R caatcaatcaccggatcTTACGTCTTAATGTGTAACGATTTAG Reverse primer to amplify VF_0087 for Gibson assembly into pEVS143
0091_F gagctaaggaagctaaaATGACAGTGGTACTTAACAGCC Forward primer to amplify VF_0091 for Gibson assembly into pEVS143
0091_R caatcaatcaccggatcTCACGCCTGAGAACGATGAATC Reverse primer to amplify VF_0091 for Gibson assembly into pEVS143
0094_F gagctaaggaagctaaaATGACAGAACCAACACATAAAAAAC Forward primer to amplify VF_0094 for Gibson assembly into pEVS143
0094_R caatcaatcaccggatcTTATTCTGTTGGCCAATCTTCTAAAG Reverse primer to amplify VF_0094 for Gibson assembly into pEVS143
0355_F gagctaaggaagctaaaATGAGAAAAACGCCTAGTTTAC Forward primer to amplify VF_0355 for Gibson assembly into pEVS143
0355_R caatcaatcaccggatcTTATTTACCCCAACGGCTTCTTC Reverse primer to amplify VF_0355 for Gibson assembly into pEVS143
0494_F gagctaaggaagctaaaATGTCTCTTTCTCAAATACAACATTG Forward primer to amplify VF_0494 for Gibson assembly into pEVS143
0494_R caatcaatcaccggatcTTATCTAGCGCGTTTGTTTTGTAC Reverse primer to amplify VF_0494 for Gibson assembly into pEVS143
0596_F gagctaaggaagctaaaATGATTGAAGTATCCATTGTTGCC Forward primer to amplify VF_0596 for Gibson assembly into pEVS143
0596_R caatcaatcaccggatcCTACGCACTAATGAGTTGCTCAATG Reverse primer to amplify VF_0596 for Gibson assembly into pEVS143
0985_F gagctaaggaagctaaaATGCTGCATAAGTCTGATAAAAG Forward primer to amplify VF_0985 for Gibson assembly into pEVS143
0985_R caatcaatcaccggatcTTATGCATATTTTGCTTTTAATTCAC Reverse primer to amplify VF_0985 for Gibson assembly into pEVS143
0989_F gagctaaggaagctaaaATGAATCTCAAGCAAATAAAATATTTTATC Forward primer to amplify VF_0989 (mifA) for Gibson assembly into pEVS143
0989_R caatcaatcaccggatcTCATGCGATTTGATCCATTTCAC Reverse primer to amplify VF_0989 (mifA) for Gibson assembly into pEVS143
1200_F gagctaaggaagctaaaATGGCTAAGAATCAATGGAATG Forward primer to amplify VF_1200 for Gibson assembly into pEVS143
1200_R caatcaatcaccggatcTTAATACATGGTTTCTTTGATATGC Reverse primer to amplify VF_1200 for Gibson assembly into pEVS143
1245_F gagctaaggaagctaaaATGCCTCAATCTCGTCTTCAGC Forward primer to amplify VF_1245 for Gibson assembly into pEVS143
1245_R caatcaatcaccggatcTTATATATCTTGATAGTGAGTGATTTTATTACGC Reverse primer to amplify VF_1245 for Gibson assembly into pEVS143
1350_F gagctaaggaagctaaaATGAACCTTAGGCTTTTAACAG Forward primer to amplify VF_1350 for Gibson assembly into pEVS143
1350_R caatcaatcaccggatcTTAAATATCATAAAAGTGATTGCTCTG Reverse primer to amplify VF_1350 for Gibson assembly into pEVS143
1367_F gagctaaggaagctaaaATGTGTGTTTTTTCTTCATTTGTTTC Forward primer to amplify VF_1367 for Gibson assembly into pEVS143
1367_R caatcaatcaccggatcTTACTGATTATTCTCAAAAATAGCTC Reverse primer to amplify VF_1367 for Gibson assembly into pEVS143
1515_F gagctaaggaagctaaaATGAGGTTCGTTTATCTATCCG Forward primer to amplify VF_1515 for Gibson assembly into pEVS143
1515_R caatcaatcaccggatcTCAGCCTCGAATGGTAACTTGA Reverse primer to amplify VF_1515 for Gibson assembly into pEVS143
1561_F gagctaaggaagctaaaATGAGCATTTTTCAAAAAATTGC Forward primer to amplify VF_1561 for Gibson assembly into pEVS143
1561_R caatcaatcaccggatcTTAATTCATATAATGTATATTTGAACTTGAG Reverse primer to amplify VF_1561 for Gibson assembly into pEVS143
1603_F gagctaaggaagctaaaATGTACACATATGTTGCTCGTC Forward primer to amplify VF_1603 for Gibson assembly into pEVS143
1603_R aatcaatcaccggatcCTATTTTGCTATCTCATCTACCC Reverse primer to amplify VF_1603 for Gibson assembly into pEVS143
1639_F gagctaaggaagctaaaATGCCGAAATTTAATTTAAAACATATC Forward primer to amplify VF_1639 (casA) for Gibson assembly into pEVS143
1639_R caatcaatcaccggatcTTATGAAAAGTAAACTCGGTTTTTAC Reverse primer to amplify VF_1639 (casA) for Gibson assembly into pEVS143
2261_F gagctaaggaagctaaaATGCATTATAAAAAAACGAAAGC Forward primer to amplify VF_2261 for Gibson assembly into pEVS143
2261_R caatcaatcaccggatcCTATGCTAAGTCCTCTAAACTAG Reverse primer to amplify VF_2261 for Gibson assembly into pEVS143
2326_F gagctaaggaagctaaaATGATCTACATGGATGTTTATATG Forward primer to amplify VF_2326 for Gibson assembly into pEVS143
2326_R caatcaatcaccggatcTTATGATTTATCAATTTTCTCTTGGTAC Reverse primer to amplify VF_2326 for Gibson assembly into pEVS143
2480_F gagctaaggaagctaaaATGTATGCATACGTTGCCAGAC Forward primer to amplify VF_2480 for Gibson assembly into pEVS143
2480_R aatcaatcaccggatcCTATTTAGACAAAATACTCTGATACCAC Reverse primer to amplify VF_2480 for Gibson assembly into pEVS143
A0056_F gagctaaggaagctaaaATGTTTCGGTGTTGTATGAGTG Forward primer to amplify VF_A0056 for Gibson assembly into pEVS143
A0056_R caatcaatcaccggatcTCAATCCGTTTCTCGTTTAAGC Reverse primer to amplify VF_A0056 for Gibson assembly into pEVS143
A0057_F gagctaaggaagctaaaATGATACTTCAATGGTTCAGTG Forward primer to amplify VF_A0057 for Gibson assembly into pEVS143
A0057_R caatcaatcaccggatcTTAAACGAGAAACGGATTGATTTC Reverse primer to amplify VF_A0057 for Gibson assembly into pEVS143
A0152_F gagctaaggaagctaaaATGAGGGTAAAAAATATCGTTG Forward primer to amplify VF_A0152 for Gibson assembly into pEVS143
A0152_R caatcaatcaccggatcTTACTCAGATATAAAAACTTGGTTTC Reverse primer to amplify VF_A0152 for Gibson assembly into pEVS143
A0155_F gagctaaggaagctaaaATGAAAAATCGAAGTGCTTTTTTTTATAG Forward primer to amplify VF_A0155 for Gibson assembly into pEVS143
A0155_R caatcaatcaccggatcTTACAATTCAAACCTAACACAG Reverse primer to amplify VF_A0155 for Gibson assembly into pEVS143
A0216_F gagctaaggaagctaaaATGAAAAGTAAAATAAATATAATATTAGTAGATGATATTG Forward primer to amplify VF_A0216 for Gibson assembly into pEVS143
A0216_R caatcaataccggatcTTAACATTGAAGGTTTTCAGTTTC Reverse primer to amplify VF_A0216 for Gibson assembly into pEVS143
A0244_F gagctaaggaagctaaaATGATTATGAATAAATACTTCATTTATCAGCC Forward primer to amplify VF_A0244 for Gibson assembly into pEVS143
A0244_R caatcaatcaccggatcTCATGCTGGGTGAAGCTTATTTTTC Reverse primer to amplify VF_A0244 for Gibson assembly into pEVS143
A0276_F gagctaaggaagctaaaATGAAACCAATCCATATAGACTC Forward primer to amplify VF_A0276 for Gibson assembly into pEVS143
A0276_R caatcaatcaccggatcTTAATCCTCAGGTGAAACAATTTG Reverse primer to amplify VF_A0276 for Gibson assembly into pEVS143
A0323_F gagctaaggaagctaaaATGATCATGACAAATAAGAAAATGC Forward primer to amplify VF_A0323 for Gibson assembly into pEVS143
A0323_R caatcaatcaccggatcTTATATAGAATCAGAGCACTTTTTTG Reverse primer to amplify VF_A0323 for Gibson assembly into pEVS143
CSH043 caggagctaaggaagctaaaATGTTTAATGTTAAATTATTTGGATTAGATAAGCTTTTCTT Forward primer to amplify VF_A0342 for Gibson assembly into pEVS143
CSH044 gctcaatcaatcaccggatcCTAAAAATCATAATTGTTCTTATCTAATGTAACTATGTTACGG Reverse primer to amplify VF_A0342 for Gibson assembly into pEVS143
A0343_F gagctaaggaagctaaaATGATTTTTAGCAATGTTGATAATAATAATATG Forward primer to amplify VF_A0343 for Gibson assembly into pEVS143
A0343_R caatcaatcaccggatcTTATCCTTCAAATACCGTTACTTTG Reverse primer to amplify VF_A0343 for Gibson assembly into pEVS143
A0344_F gagctaaggaagctaaaATGAAATTTATTACTAATAAATATATTGTTTATTTGTTG Forward primer to amplify VF_A0344 for Gibson assembly into pEVS143
A0344_R caatcaatcaccggatcTTAATCACGCATTATGGAATGAAAATTATC Reverse primer to amplify VF_A0344 for Gibson assembly into pEVS143
A0368_F gagctaaggaagctaaaATGAAAAAATTAATCTTGCTGCTTG Forward primer to amplify VF_A0368 for Gibson assembly into pEVS143
A0368_R caatcaatcaccggatcTTAATAGATACTGTCGTTCAAAATAAC Reverse primer to amplify VF_A0368 for Gibson assembly into pEVS143
A0381_F gagctaaggaagctaaaATGGATGGCATAATCCAACTCTC Forward primer to amplify VF_A0381 for Gibson assembly into pEVS143
A0381_R caatcaatcaccggatcTTATTCGCTGACGCAGTTACGT Reverse primer to amplify VF_A0381 for Gibson assembly into pEVS143
A0398_F gagctaaggaagctaaaATGGACAGTCTTTTAAATCGAATAG Forward primer to amplify VF_A0398 for Gibson assembly into pEVS143
A0398_R caatcaatcaccggatcTTAATAAGAACATACTTTATTCTTTCCG Reverse primer to amplify VF_A0398 for Gibson assembly into pEVS143
A0475_F gagctaaggaagctaaaTTGAATTCAACAATTTCTTTCTTATATC Forward primer to amplify VF_A0475 for Gibson assembly into pEVS143
A0475_R caatcaatcaccggatcTCACTGTAATTTTCTGCTTTTG Reverse primer to amplify VF_A0475 for Gibson assembly into pEVS143
A0476_F gagctaaggaagctaaaATGCTATCGTTTATTTATATGAGTG Forward primer to amplify VF_A0476 for Gibson assembly into pEVS143
A0476_R caatcaatcaccggatcTTATACTTTATTTCTATTTTTATATTGAAACTTTG Reverse primer to amplify VF_A0476 for Gibson assembly into pEVS143
A0506_F caggagctaaggaagctaaaATGCGTCATTACCTATCTCTAG Forward primer to amplify VF_A0506 for Gibson assembly into pEVS143
A0506_R gctcaatcaatcaccggatcTTAATCGGGATATTCAAGTCGAATATC Reverse primer to amplify VF_A0506 for Gibson assembly into pEVS143
A0526_F gagctaaggaagctaaaATGAGATTAATTGAAGCAAAACTG Forward primer to amplify VF_A0526 for Gibson assembly into pEVS143
A0526_R caatcaatcaccggatcTCAATAATAATTCTTTTTAAAATTTGAAATTGTATTTTTATAATTAAC Reverse primer to amplify VF_A0526 for Gibson assembly into pEVS143
A0551_F gagctaaggaagctaaaATGCTATTGGCAACACAGGACG Forward primer to amplify VF_A0551 for Gibson assembly into pEVS143
A0551_R caatcaatcaccggatcTTAAGCCGCTTGATGATTTTGTTC Reverse primer to amplify VF_A0551 for Gibson assembly into pEVS143
A0567_F gagctaaggaagctaaaATGAAGTGGATAGAAAATGCATC Forward primer to amplify VF_A0567 for Gibson assembly into pEVS143
A0567_R caatcaatcaccggatcTCAAATTTTGTGAAACATATACTTTC Reverse primer to amplify VF_A0567 for Gibson assembly into pEVS143
A0692_F gagctaaggaagctaaaATGACGATGCTAAGACGATTAATG Forward primer to amplify VF_A0692 for Gibson assembly into pEVS143
A0692R caatcaatcaccggatcTCAATTTGCCATAGTGACACGG Reverse primer to amplify VF_A0692 for Gibson assembly into pEVS143
A0706_F gagctaaggaagctaaaGTGTTTAAACGTAAGAATTCGC Forward primer to amplify VF_A0706 for Gibson assembly into pEVS143
A0706_R caatcaatcaccggatcTTATTTATTACGATTGGTATCAATCTG Reverse primer to amplify VF_A0706 for Gibson assembly into pEVS143
A0796_F gagctaaggaagctaaaATGAATTCTGATATGAGTGATTTTCATTG Forward primer to amplify VF_A0796 for Gibson assembly into pEVS143
A0796_R caatcaatcaccggatcTTATGGCATTAAGGTGGTGCAA Reverse primer to amplify VF_A0796 for Gibson assembly into pEVS143
A0879_F gagctaaggaagctaaaATGCCTACTTATACGTTCAAAAAC Forward primer to amplify VF_A0879 for Gibson assembly into pEVS143
A0879_R caatcaatcaccggatcTCAGAACGCTGATAATGCATCAC Reverse primer to amplify VF_A0879 for Gibson assembly into pEVS143
A0959_F gagctaaggaagctaaaATGATTTCTCGCCCATATGTGAG Forward primer to amplify VF_A0959 (mifB) for Gibson assembly into pEVS143
A0959_R caatcaatcaccggatcTTACTGCTGATAATAAGCTTTTTTCTC Reverse primer to amplify VF_A0959 (mifB) for Gibson assembly into pEVS143
A0976_F gagctaaggaagctaaaGTGATTACATTTGGTAAGTCCAATAAATTATTTTTTTG Forward primer to amplify VF_A0976 for Gibson assembly into pEVS143
A0976_R caatcaatcaccggatcTCATAGCTTTTCAAATACTTTAAATCC Reverse primer to amplify VF_A0976 for Gibson assembly into pEVS143
A1012_F gagctaaggaagctaaaATGTTAACTGACCAAAAAATTTTAATTG Forward primer to amplify VF_A1012 for Gibson assembly into pEVS143
A1012_R caatcaatcaccggatcTCAAATGGTTATTGTTGATACAC Reverse primer to amplify VF_A1012 for Gibson assembly into pEVS143
A1038_F gagctaaggaagctaaaATGCAAAAAACGTTAACGTCTG Forward primer to amplify VF_A1038 (binA) for Gibson assembly into pEVS143
A1038_R caatcaatcaccggatcTTACACAAAGTGAAAGTAGGGG Reverse primer to amplify VF_A1038 (binA) for Gibson assembly into pEVS143
A1076_F gagctaaggaagctaaaATGTTCTCAATTAAGAAATTGGTTAATTTTATG Forward primer to amplify VF_A1076 for Gibson assembly into pEVS143
A1076_R caatcaatcaccggatcTTAAGGAATAAGTAGCGGTCTTC Reverse primer to amplify VF_A1076 for Gibson assembly into pEVS143
A1166_F gagctaaggaagctaaaATGACATTATATAAACAACTAGTAGC Forward primer to amplify VF_A1166 (lapD) for Gibson assembly into pEVS143
A1166_R caatcaatcaccggatcTTAAATGCCTTCCACTTTTTCATTAATAAAG Reverse primer to amplify VF_A1166 (lapD) for Gibson assembly into pEVS143
CSH025 gatgatgataaaTAAGATCCGGTGATT Forward primer to amplify pEVS143-A0216 for site-directed mutagenesis to introduce C-terminal FLAG tag
CSH026 atctttataatcACATTGAAGGTTTTCAG Reverse primer to amplify pEVS143-A0216 for site-directed mutagenesis to introduce C-terminal FLAG tag
CSH027 gatgatgataaaTAGGATCCGGTGATTG Forward primer to amplify pEVS143-A0342 for site-directed mutagenesis to introduce C-terminal FLAG tag
CSH028 atctttataatcAAAATCATAATTGTTCTTATC Reverse primer to amplify pEVS143-A0342 for site-directed mutagenesis to introduce C-terminal FLAG tag
CSH029 gatgatgataaaTAAGATCCGGTGAT Forward primer to amplify pEVS143-A0476 for site-directed mutagenesis to introduce C-terminal FLAG tag
CSH030 atctttataatcTACTTTATTTCTATTTTTATATTGAAACT Reverse primer to amplify pEVS143-A0476 for site-directed mutagenesis to introduce C-terminal FLAG tag
CSH033 gatgatgataaaTGAGATCCGGTGATTG Forward primer to amplify pEVS143-1515 for site-directed mutagenesis to introduce C-terminal FLAG tag
CSH034 atctttataatcGCCTCGAATGGTAAC Reverse primer to amplify pEVS143-1515 for site-directed mutagenesis to introduce C-terminal FLAG tag
CSH035 gatgatgataaaTGAGATCCGGTGATTG Forward primer to amplify pEVS143-A0056 for site-directed mutagenesis to introduce C-terminal FLAG tag
CSH036 atctttataatcATCCGTTTCTCGTTTAAG Reverse primer to amplify pEVS143-A0056 for site-directed mutagenesis to introduce C-terminal FLAG tag
RYI497 gatgatgataaaTGAGATCCGGTGATTGATTG Forward primer to amplify pEVS143-0989 for site-directed mutagenesis to introduce C-terminal FLAG tag
RYI498 atctttataatcTGCGATTTGATCCATTTC Reverse primer to amplify pEVS143-0989 for site-directed mutagenesis to introduce C-terminal FLAG tag
RYI499 gatgatgataaaTAAGATCCGGTGATTGATTG Forward primer to amplify pEVS143-A0155 for site-directed mutagenesis to introduce C-terminal FLAG tag
RYI500 atctttataatcCAATTCAAACCTAACACAG Reverse primer to amplify pEVS143-A0155 for site-directed mutagenesis to introduce C-terminal FLAG tag
RYI501 gatgatgataaaTAAGATCCGGTGATTGATTG Forward primer to amplify pEVS143-A0057 for site-directed mutagenesis to introduce C-terminal FLAG tag
RYI502 atctttataatcAACGAGAAACGGATTGATTTC Reverse primer to amplify pEVS143-A0057 for site-directed mutagenesis to introduce C-terminal FLAG tag
A0152_mutF TCGCTTGGGCGcTGACGAGTTTG Forward primer to amplify pEVS143-A0152 for site-directed mutagenesis to introduce GADEF active site change
A0152_mutR GCGAAATGATCAGATTCACAG Reverse primer to amplify pEVS143-A0152 for site-directed mutagenesis to introduce GADEF active site change
0087(ACL)_F_V2 AGCATCAACAgcaTGTCTAATGCG Forward primer to amplify pEVS143-0087 for site-directed mutagenesis to introduce ACL active site change
0087(ACL)_R_V2 AGCTCATGAGTATGCGCTTTATAAATAGGT Reverse primer to amplify pEVS143-0087 for site-directed mutagenesis to introduce ACL active site change
0091(GAAEF)_F CGCATTGGTGcaGCTGAGTTTG Forward primer to amplify pEVS143-0091 for site-directed mutagenesis to introduce GAAEF active site change
0091(GAAEF)_R GGCCATTTCTATATTTTGATC Reverse primer to amplify pEVS143-0091 for site-directed mutagenesis to introduce GAAEF active site change
0091(AAL)_F CATGGTGCAGcAGCGTTAATTC Forward primer to amplify pEVS143-0091 for site-directed mutagenesis to introduce AAL active site change
0091(AAL)_R AATTTTACCGTCTTCAAAATTC Reverse primer to amplify pEVS143-0091 for site-directed mutagenesis to introduce AAL active site change
0094(AAL)_F ATCGGTGCGGcAGCATTAATTC Forward primer to amplify pEVS143-0094 for site-directed mutagenesis to introduce AAL active site change
0094(AAL)_R GGTTTTTCCACTCTTTATATCAATTATTG Reverse primer to amplify pEVS143-0094 for site-directed mutagenesis to introduce AAL active site change
0094(GADEF)_F CGAGTTGGTGcaGATGAATTCGC Forward primer to amplify pEVS143-0094 for site-directed mutagenesis to introduce GADEF active site change
0094(GADEF)_R AGCAATGGCAATGTTGTC Reverse primer to amplify pEVS143-0094 for site-directed mutagenesis to introduce GADEF active site change
0494(AAL)_F TAATGGCGCAgcaGCCCTTGTTC Forward primer to amplify pEVS143-0494 for site-directed mutagenesis to introduce AAL active site change
0494(AAL)_R_V2 ATTCTAAAATCACGAGCACTTACTTTTGGTTGGTAC Reverse primer to amplify pEVS143-0494 for site-directed mutagenesis to introduce AAL active site change
0494(GADEF)_F CCATTTAGGTgcaGATGAATTTGGAATACTATTTC Forward primer to amplify pEVS143-0494 for site-directed mutagenesis to introduce GADEF active site change
0494(GADEF)_R CCAACAACAGCGTGTTTTG Reverse primer to amplify pEVS143-0494 for site-directed mutagenesis to introduce GADEF active site change
0596(SAEEF)_F CGTTTTAGTGcaGAAGAATTTTTAATTTTATTTAC Forward primer to amplify pEVS143-0596 for site-directed mutagenesis to introduce SAEEF active site change
0596(SAEEF)_R AGCAACAAAATTAGTATCTG Reverse primer to amplify pEVS143-0596 for site-directed mutagenesis to introduce SAEEF active site change
0985(AVL)_F_V2 TTATGGTGTAgcaGTGCTTTCTCG Forward primer to amplify pEVS143-0985 for site-directed mutagenesis to introduce AVL active site change
0985(AVL)_R_V2 ATCTCACCTGTTTTAGTATC Reverse primer to amplify pEVS143-0985 for site-directed mutagenesis to introduce AVL active site change
0985(GADEF)_F ACGTTTTGGCgcaGATGAATTTG Forward primer to amplify pEVS143-0985 for site-directed mutagenesis to introduce GADEF active site change
0985(GADEF)_R GCAACTATTTCATCTTTTTCAATAAAG Reverse primer to amplify pEVS143-0985 for site-directed mutagenesis to introduce GADEF active site change
1367(HAIGK)_F TTCGCTGCATgcaATTGGAAAGATTG Forward primer to amplify pEVS143-1367 for site-directed mutagenesis to introduce HAIGK active site change
1367(HAIGK)_R GCAATCATACGAATTTCTTC Reverse primer to amplify pEVS143-1367 for site-directed mutagenesis to introduce HAIGK active site change
A0057(SADEF)_F TCGTCTATCTgcaGATGAGTTTTTACTTGG Forward primer to amplify pEVS143-A0057 for site-directed mutagenesis to introduce SADEF active site change
A0057(SADEF)_R GCGACAAGATCGTTTTCAAAAAC Reverse primer to amplify pEVS143-A0057 for site-directed mutagenesis to introduce SADEF active site change
A0244(GADEF)_F CGTTTTGGTGcAGATGAGTTTATTTTATG Forward primer to amplify pEVS143-A0244 for site-directed mutagenesis to introduce GADEF active site change
A0244(GADEF)_R AATTAATAAATCTTCTTTTCTTAAGTATTTATTAATTAAAC Reverse primer to amplify pEVS143-A0244 for site-directed mutagenesis to introduce GADEF active site change
A0244(AAL)_F GTTTCTTACGcAGCATTAATTAGATTTAAAG Forward primer to amplify pEVS143-A0244 for site-directed mutagenesis to introduce AAL active site change
A0244(AAL)_R AATAGAACCTTCAAAGAAGTTAG Reverse primer to amplify pEVS143-A0244 for site-directed mutagenesis to introduce AAL active site change
A0344(AVL)_F ATTGGAGGGGcaGTATTAGCTC Forward primer to amplify pEVS143-A0344 for site-directed mutagenesis to introduce AVL active site change
A0344(AVL)_R GATATTTTCATTAGCATCAACAATAG Reverse primer to amplify pEVS143-A0344 for site-directed mutagenesis to introduce AVL active site change
A0398(GAEEF)_F ACGTTATGGAgcaGAAGAGTTTC Forward primer to amplify pEVS143-A0398 for site-directed mutagenesis to introduce GAEEF active site change
A0398(GAEEF)_R AGTGTATAGTGAGAAGGTG Reverse primer to amplify pEVS143-A0398 for site-directed mutagenesis to introduce GAEEF active site change
A0475(AAL)_F ATCAGTGTTGcAGCTTTACTAAG Forward primer to amplify pEVS143-A0475 for site-directed mutagenesis to introduce AAL active site change
A0475(AAL)_R AATACTTCCATTCTGTACTTTTG Reverse primer to amplify pEVS143-A0475 for site-directed mutagenesis to introduce AAL active site change
A0475(GADEF)_F AGATACGGTGcaGATGAATTTTTGATTTTTAC Forward primer to amplify pEVS143-A0475 for site-directed mutagenesis to introduce GADEF active site change
A0475(GADEF)_R TATGATAAGGTCTTCCTTTC Reverse primer to amplify pEVS143-A0475 for site-directed mutagenesis to introduce GADEF active site change
A0796(GAEEF)_F CGATATGGTGcaGAAGAGTTTACC Forward primer to amplify pEVS143-A0796 for site-directed mutagenesis to introduce GAEEF active site change
A0796(GAEEF)_R CCCACAAATATCTGTGTTAC Reverse primer to amplify pEVS143-A0796 for site-directed mutagenesis to introduce GAEEF active site change
A0976(GADEF)_F CGATTAGGTGcaGATGAATTTGCC Forward primer to amplify pEVS143-A0976 for site-directed mutagenesis to introduce GADEF active site change
A0976(GADEF)_R AGCGACGTAACTATTTTC Reverse primer to amplify pEVS143-A0976 for site-directed mutagenesis to introduce GADEF active site change
BinA(AAL)_F ATTGGTTGTgcaGCGCTATTAC Forward primer to amplify pEVS143-BinA for site-directed mutagenesis to introduce AAL active site change
BinA(AAL)_R CCATTTTTTATTTACTGGGC Reverse primer to amplify pEVS143-BinA for site-directed mutagenesis to introduce AAL active site change
MifA(GAEEF)_F AAGAATTGGCgcaGAAGAGTTTG Forward primer to amplify pEVS143-MifA for site-directed mutagenesis to introduce GAEEF active site change
MifA(GAEEF)_R GCTACAAAATCAATACTTCG Reverse primer to amplify pEVS143-MifA for site-directed mutagenesis to introduce GAEEF active site change
pEVS143_seqF GCACTCCCGTTCTGGATA Forward primer to amplify gene inserts in pEVS143
pEVS143_seqR GTATGAGTCAGCAACACC Reverse primer to amplify gene inserts in pEVS143
MJM-738_F ACAATTTCACACAGGAAACAGCTC Forward primer to amplify gene inserts in pEVS143
MJM-739_R AGCCAGTAATCGAATTGGCTAGTA Reverse primer to amplify gene inserts in pEVS143
M13 -48 rev AGCGGATAACAATTTCACACAGG Forward primer to amplify gene inserts in pEVS143
MRH049 AGGAAAGTCTACACGAACCCT Reverse primer to amplify gene inserts in pEVS143
RYI231 ATGCGTCATTACCTATCTCTAGTTTGTG Sequencing primer for VF_A0506
RYI232 TGATACCTACAGCAACGATAGGTAGC Sequencing primer for VF_A0506
RYI233 GCTACCTATCGTTGCTGTAGGTATCA Sequencing primer for VF_A0506
RYI234 CGATAGCTTCAGTGTTATCCAAGGAAAG Sequencing primer for VF_A0506
RYI235 GGGATCATCGTTACTCAGTACATTGC Sequencing primer for VF_A0506
RYI236 GGCAAGTTAACACCAGAAGAAAGAACT Sequencing primer for VF_A0506
RYI365 GATGGGTTAACACAATTAGCTAACCGT Sequencing primer for VF_A0057
RYI366 TTAAACGAGAAACGGATTGATTTCTTTTGC Sequencing primer for VF_A0057
RYI370 CAGAGTTGGGAAGGTGAAGTTGTT Sequencing primer for mifA
RYI372 TCATGCGATTTGATCCATTTCACTGG Sequencing primer for mifA
RYI520 TGATCGCCTATTGTGGGTTACCTC Sequencing primer for binA
RYI521 ACTTTTGCATATACATTTTGCTAATAGCCGT Sequencing primer for binA
RYI522 AGTCGTCATTATCTGAACACAAAATTGAACG Sequencing primer for binA
RYI523 GTGGCTTAATTTCTGATGAACCGCT Sequencing primer for binA

Construction of pRYI039

pEVS143 was amplified using primers RYI354 and RYI355. pRYI039 was assembled by Gibson assembly using the NEBuilder HiFi DNA Assembly Master Mix (NEB). The assembly reaction was transformed into chemically competent NEB5α cells, and candidate transformants were selected using kanamycin. The plasmid was screened by PCR using primers M13 -48 rev and MRH049. The plasmid was confirmed by Sanger sequencing using primers M13 -48 rev and MRH049.

Construction of the overexpression plasmids

pEVS143 was amplified using pEVS143_expF and pEVS143_expR primers. Gene open reading frames (ORFs) were amplified from MJM1100 genomic DNA using gene-specific forward and reverse primers. Amplified gene inserts were assembled with amplified pEVS143 by Gibson assembly using the NEB Gibson Assembly Cloning Kit (NEB) or NEBuilder HiFi DNA Assembly Master Mix (NEB). The assembly reactions were transformed into chemically competent NEB5α or DH5α λpir cells, and candidate transformants were selected using kanamycin. Each plasmid was screened by PCR using primers MJM-738F and MJM739R; M13 -48 rev and MJM-739R; or MJM-738F and the respective assembly reverse primer, MJM-739R, and the assembly forward primer, and/or MJM-738F and MJM739R. To construct pEVS143-VF_A1014, VF_A1014 was synthesized with flanking AvrII and BamHI restriction sites and cloned into pEVS143 by GenScript (Piscataway, NJ), and plasmid was confirmed by whole plasmid sequencing. pEVS143-VF_A0506 was confirmed by Sanger sequencing using primers M13 -48 rev, RYI225, RYI226, RYI227, RYI228, RYI229, RYI230, and MRH049. Remaining plasmids were confirmed by Sanger sequencing using primers MJM-738F and MJM-739R, MJM-738F and the respective assembly reverse primer and/or MJM-739R and the assembly forward primer, or pEVS143_seqF and pEVS143_seqR.

Construction of FLAG-tagged protein overexpression plasmids

Plasmids were amplified using site-directed mutagenesis primers to introduce active site mutations. Active site mutant plasmids were assembled using the Q5 Site-Directed Mutagenesis Kit (NEB). Site-directed mutagenesis reactions were transformed into chemically competent DH5α λpir cells, and candidate transformants were selected using kanamycin. Each plasmid was screened by PCR using primers M13 -48 rev and MJM-739R and confirmed by whole plasmid sequencing.

Construction of the DGC and PDE active site mutant overexpression plasmids

Plasmids were amplified using site-directed mutagenesis primers to introduce active site mutations. Active site mutant plasmids were assembled using the Q5 Site-Directed Mutagenesis Kit (NEB). Site-directed mutagenesis reactions were transformed into chemically competent NEB5α or DH5α λpir cells, and candidate transformants were selected using kanamycin. Each plasmid was screened by PCR using primers M13 -48 rev and MJM739R or MJM-738F and the respective assembly reverse primer, MJM-739R, and the assembly forward primer, and MJM-738F and MJM739R. pEVS143-VF_0989(GAEEF) was confirmed by Sanger sequencing using primers RYI370 and RYI372. pEVS143-VF_A0057(SADEF) was confirmed by Sanger sequencing using primers RYI365 and RYI366. pEVS143-VF_A1038 was confirmed by Sanger sequencing using primers RYI520, RYI521, RYI522, RYI523, MJM-738F, and MJM-739R. Remaining active site mutant plasmids were confirmed by whole plasmid sequencing or Sanger sequencing using primers MJM-738F and MJM-739R, MJM-738F and the respective template plasmid Gibson assembly reverse primer and/or MJM-739R and the template plasmid Gibson assembly forward primer, or pEVS143_seqF and pEVS143_seqR.

Assembly of arrayed strain collections

Strains were streaked on LBS agar and incubated overnight at 25°C. Liquid LBS was inoculated with single colonies of each strain in a deep-well 96-well plate and grown overnight at 23°C–25°C on a shaker. Overnight cultures were saved in glycerol stocks in 96-well plates in triplicate. For VF_1561, VF_A0152, VF_A0342, and VF_A0551, errors were found in the strains in the wild-type background in the original assays, and the corrected strains were reanalyzed in the same 96-well format in a new arrayed strain collection alongside select additional strains (pRYI039, pEVS143, VF_0087, VF_0091, VF_0985, and MifA) as controls.

Congo red biofilm assay

Liquid LBS was inoculated with 2 µL of glycerol stock of each strain from an arrayed strain collection and grown at room temperature (23°C–25°C) overnight on a shaker. Two-microliter spots of liquid culture were spotted on LBS Congo red agar and incubated 24 h at 25°C. Spots were transferred onto white printer paper (87), and images were scanned as TIFF or JPEG files. Congo red binding was quantified using ImageJ software (version 2.0.0-rc-69/1.52p) as described in the “Data analysis” section below.

Motility assay

Liquid LBS was inoculated with 2 µL of glycerol stock of each strain from an arrayed strain collection and grown at room temperature (23°C–25°C) overnight on a shaker. Two-microliter spots of liquid culture were spotted on TBS, TBS-Mg2+ (35 mM MgSO4), and TBS-Ca2+ (10 mM CaCl2) agar and incubated overnight at 25°C. The spotted strains were inoculated into TBS, TBS-Mg2+, and TBS-Ca2+ soft (0.3%) agar, using a 96-pin replicator, and incubated at 25°C for 3 h for TBS plates and 2.5 h for TBS-Mg2+ and TBS-Ca2+ plates. Images of plates were taken using a Nikon D810 digital camera, and the diameter of migration was measured using ImageJ software (version 2.0.0-rc-69/1.52p).

Western blot analysis

One milliliter of overnight culture was pelleted and then washed and lysed in 1% SDS solution. To standardize the total protein concentration, the volume of SDS was adjusted based on the optical density at 600 nm (OD600). Lysed cells were pelleted to remove cell debris, and the solution was mixed at a 1:1 ratio with 2× Laemmli sample buffer from Bio-Rad (Hercules, CA) to which β-mercaptoethanol had been added. Solution was heated at 95°C for 15 min and loaded onto a 4%–20% Mini-Protean TGX Precast Stain Free Gel from Bio-Rad (Hercules, CA). Gel was transferred to a Immun-Blot Low Fluorescence polyvinylidene difluoride membrane and blocked overnight in 5% non-fat milk resuspended in 1× Tris-buffered saline Tween-20 (1× TBS-T). Two microliters of anti-FLAG rabbit IgG (800 µG/mL, Sigma-Aldrich) was used as the primary antibody in 0.5% non-fat milk suspended in 1× TBS-T. Two microliters of anti-RpoA mouse IgG (500 µG/mL, BioLegend) was used as a loading control, binding the RNAP α subunit. Two microliters of LI-COR IRDye 800CW goat anti-rabbit IgG (1,000 µg/mL) was used as the secondary antibody and resuspended in 0.5% non-fat milk in 1× TBS-T. Two microliters of LI-COR IRDye 680RD goat anti-mouse IgG (1,000 µg/mL) was used as the secondary antibody of the loading control. Washes were done with 1× TBS-T, with the final wash being 1× TBS. Blots were analyzed at 700- and 800-nm wavelengths using the LI-COR Odyssey Fc Imager.

c-di-GMP reporter activity quantification

Liquid LBS was inoculated with 5 µL of glycerol stock of each strain from an arrayed strain collection and grown at room temperature (23°C–25°C) overnight on a shaker. Two microliters or 4 µL of liquid culture was spotted onto LBS agar and incubated at 25°C for 24 h. For assay of strains not in a 96-well format (Fig. S2B and C), strains were streaked on LBS agar and single colonies were inoculated into liquid LBS and grown at room temperature (23°C–25°C) overnight on a shaker. Four microliters or 8 µL of liquid culture was spotted onto LBS agar and incubated at 25°C for 24 h. For both versions of the assay, spots were resuspended in 500 µL 70% Instant Ocean; then, OD600, TurboRFP (555 nm excitation/585 nm emission), and AmCyan (453 nm excitation/486 nm emission) for each resuspended spot were measured in triplicate using the BioTek Synergy Neo2 plate reader. To calculate c-di-GMP reporter activity, TurboRFP values (reports on c-di-GMP) were normalized to AmCyan values (constitutively expressed).

ELISA c-di-GMP quantification

Overnight cultures were spotted onto LBS agar and incubated at 25°C overnight. Spots were resuspended in UltraPure water (Cayman Chemical), pelleted in a table top microcentrifuge, and frozen at −80°C. To standardize cell density, Bacteria Protein Extraction Reagent (Thermo Fisher Scientific) was added to cell pellets at a ratio of 1:4 wt/vol and then incubated for 10 min at room temperature (23°C–25°C). Cell debris was pelleted, and the supernatants were diluted for c-di-GMP quantification. Samples were processed and quantified using the Cyclic di-GMP ELISA kit by Cayman Chemical (Item #501780). Absorbance of the samples was measured at 450 nm using a BioTek Synergy Neo2 plate reader to determine c-di-GMP concentration. A standard curve was generated using the provided Cayman Chemical ELISA Analysis Tool, followed by sample quantification using the standard curve.

Data analysis

Congo red binding was quantified using ImageJ (version 2.0.0-rc-69/1.52p) by subtracting the WT gray value from the mutant gray value and multiplying the value by −1 (36). Fluorescence of reporter strains in liquid culture and ELISA samples were measured using a BioTek Synergy Neo2 plate reader. Western blots were imaged using the LI-COR Odyssey Fc Imager. GraphPad Prism was used to generate graphs and conduct statistical analyses. Graphs were further refined in Adobe Illustrator.

ACKNOWLEDGMENTS

We are grateful to Ella Rotman and John Brooks for early contributions to the project, Ketan Kotla for active site mutant construction, Chris Waters for the pEVS143-QrgB and pEVS143-VC1086 plasmids, and Karen Visick for valuable discussions on the work.

This study was funded by NIGMS grant R35 GM148385 to M.J.M., and R.Y.I. was supported by NIGMS training grant T32 GM007215.

Contributor Information

Mark J. Mandel, Email: mmandel@wisc.edu.

Ákos T. Kovács, Universiteit Leiden, Leiden, the Netherlands

SUPPLEMENTAL MATERIAL

The following material is available online at https://doi.org/10.1128/msystems.00956-24.

Supplemental Figures. msystems.00956-24-s0001.pdf.

Figures S1-S3.

DOI: 10.1128/msystems.00956-24.SuF1

ASM does not own the copyrights to Supplemental Material that may be linked to, or accessed through, an article. The authors have granted ASM a non-exclusive, world-wide license to publish the Supplemental Material files. Please contact the corresponding author directly for reuse.

REFERENCES

  • 1. Hooper LV. 2009. Do symbiotic bacteria subvert host immunity? Nat Rev Microbiol 7:367–374. doi: 10.1038/nrmicro2114 [DOI] [PubMed] [Google Scholar]
  • 2. McFall-Ngai M, Nyholm SV, Castillo MG. 2010. The role of the immune system in the initiation and persistence of the Euprymna scolopes-Vibrio fischeri symbiosis. Semin Immunol 22:48–53. doi: 10.1016/j.smim.2009.11.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Alteri CJ, Mobley HLT. 2012. Escherichia coli physiology and metabolism dictates adaptation to diverse host microenvironments. Curr Opin Microbiol 15:3–9. doi: 10.1016/j.mib.2011.12.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Bliven KA, Maurelli AT. 2016. Evolution of bacterial pathogens within the human host. Microbiol Spectr 4. doi: 10.1128/microbiolspec.VMBF-0017-2015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Flint A, Butcher J, Stintzi A. 2016. Stress responses, adaptation, and virulence of bacterial pathogens during host gastrointestinal colonization. Microbiol Spectr 4. doi: 10.1128/microbiolspec.VMBF-0007-2015 [DOI] [PubMed] [Google Scholar]
  • 6. Petrova OE, Sauer K. 2012. Sticky situations: key components that control bacterial surface attachment. J Bacteriol 194:2413–2425. doi: 10.1128/JB.00003-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Heindl JE, Wang Y, Heckel BC, Mohari B, Feirer N, Fuqua C. 2014. Mechanisms and regulation of surface interactions and biofilm formation in Agrobacterium. Front Plant Sci 5:176. doi: 10.3389/fpls.2014.00176 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Petrova OE, Sauer K. 2016. Escaping the biofilm in more than one way: desorption, detachment or dispersion. Curr Opin Microbiol 30:67–78. doi: 10.1016/j.mib.2016.01.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Sadiq FA, Flint S, Li Y, Liu T, Lei Y, Sakandar HA, He G. 2017. New mechanistic insights into the motile-to-sessile switch in various bacteria with particular emphasis on Bacillus subtilis and Pseudomonas aeruginosa: a review. Biofouling 33:306–326. doi: 10.1080/08927014.2017.1304541 [DOI] [PubMed] [Google Scholar]
  • 10. Berne C, Ellison CK, Ducret A, Brun YV. 2018. Bacterial adhesion at the single-cell level. Nat Rev Microbiol 16:616–627. doi: 10.1038/s41579-018-0057-5 [DOI] [PubMed] [Google Scholar]
  • 11. Valentini M, Gonzalez D, Mavridou DA, Filloux A. 2018. Lifestyle transitions and adaptive pathogenesis of Pseudomonas aeruginosa . Curr Opin Microbiol 41:15–20. doi: 10.1016/j.mib.2017.11.006 [DOI] [PubMed] [Google Scholar]
  • 12. Raina J-B, Fernandez V, Lambert B, Stocker R, Seymour JR. 2019. The role of microbial motility and chemotaxis in symbiosis. Nat Rev Microbiol 17:284–294. doi: 10.1038/s41579-019-0182-9 [DOI] [PubMed] [Google Scholar]
  • 13. Colin R, Ni B, Laganenka L, Sourjik V. 2021. Multiple functions of flagellar motility and chemotaxis in bacterial physiology. FEMS Microbiol Rev 45:fuab038. doi: 10.1093/femsre/fuab038 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Zhou B, Szymanski CM, Baylink A. 2023. Bacterial chemotaxis in human diseases. Trends Microbiol 31:453–467. doi: 10.1016/j.tim.2022.10.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Chambers JR, Sauer K. 2013. Small RNAs and their role in biofilm formation. Trends Microbiol 21:39–49. doi: 10.1016/j.tim.2012.10.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Esquivel RN, Pohlschroder M. 2014. A conserved type IV pilin signal peptide H-domain is critical for the post-translational regulation of flagella-dependent motility. Mol Microbiol 93:494–504. doi: 10.1111/mmi.12673 [DOI] [PubMed] [Google Scholar]
  • 17. Kim EA, Blair DF. 2015. Function of the histone-like protein H-NS in motility of Escherichia coli: multiple regulatory roles rather than direct action at the flagellar motor. J Bacteriol 197:3110–3120. doi: 10.1128/JB.00309-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Yoon SH, Waters CM. 2021. The ever-expanding world of bacterial cyclic oligonucleotide second messengers. Curr Opin Microbiol 60:96–103. doi: 10.1016/j.mib.2021.01.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Hengge R, Gründling A, Jenal U, Ryan R, Yildiz F. 2016. Bacterial signal transduction by cyclic Di-GMP and other nucleotide second messengers. J Bacteriol 198:15–26. doi: 10.1128/JB.00331-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Römling U, Galperin MY, Gomelsky M. 2013. Cyclic di-GMP: the first 25 years of a universal bacterial second messenger. Microbiol Mol Biol Rev 77:1–52. doi: 10.1128/MMBR.00043-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Ross P, Weinhouse H, Aloni Y, Michaeli D, Weinberger-Ohana P, Mayer R, Braun S, de Vroom E, van der Marel GA, van Boom JH, Benziman M. 1987. Regulation of cellulose synthesis in Acetobacter xylinum by cyclic diguanylic acid. Nature New Biol 325:279–281. doi: 10.1038/325279a0 [DOI] [PubMed] [Google Scholar]
  • 22. Aravind L, Koonin EV. 1998. The HD domain defines a new superfamily of metal-dependent phosphohydrolases. Trends Biochem Sci 23:469–472. doi: 10.1016/s0968-0004(98)01293-6 [DOI] [PubMed] [Google Scholar]
  • 23. Galperin MY, Natale DA, Aravind L, Koonin EV. 1999. A specialized version of the HD hydrolase domain implicated in signal transduction. J Mol Microbiol Biotechnol 1:303–305. [PMC free article] [PubMed] [Google Scholar]
  • 24. Simm R, Morr M, Kader A, Nimtz M, Römling U. 2004. GGDEF and EAL domains inversely regulate cyclic di-GMP levels and transition from sessility to motility. Mol Microbiol 53:1123–1134. doi: 10.1111/j.1365-2958.2004.04206.x [DOI] [PubMed] [Google Scholar]
  • 25. Ryan RP, Fouhy Y, Lucey JF, Crossman LC, Spiro S, He Y-W, Zhang L-H, Heeb S, Cámara M, Williams P, Dow JM. 2006. Cell-cell signaling in Xanthomonas campestris involves an HD-GYP domain protein that functions in cyclic di-GMP turnover. Proc Natl Acad Sci U S A 103:6712–6717. doi: 10.1073/pnas.0600345103 [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • 26. Sultan SZ, Pitzer JE, Boquoi T, Hobbs G, Miller MR, Motaleb MA. 2011. Analysis of the HD-GYP domain cyclic dimeric GMP phosphodiesterase reveals a role in motility and the enzootic life cycle of Borrelia burgdorferi . Infect Immun 79:3273–3283. doi: 10.1128/IAI.05153-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Christen M, Christen B, Folcher M, Schauerte A, Jenal U. 2005. Identification and characterization of a cyclic di-GMP-specific phosphodiesterase and its allosteric control by GTP. J Biol Chem 280:30829–30837. doi: 10.1074/jbc.M504429200 [DOI] [PubMed] [Google Scholar]
  • 28. Feirer N, Xu J, Allen KD, Koestler BJ, Bruger EL, Waters CM, White RH, Fuqua C. 2015. A pterin-dependent signaling pathway regulates a dual-function diguanylate cyclase-phosphodiesterase controlling surface attachment in Agrobacterium tumefaciens. MBio 6:e00156. doi: 10.1128/mBio.00156-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Cruz-Pérez JF, Lara-Oueilhe R, Marcos-Jiménez C, Cuatlayotl-Olarte R, Xiqui-Vázquez ML, Reyes-Carmona SR, Baca BE, Ramírez-Mata A. 2021. Expression and function of the cdgD gene, encoding a CHASE–PAS-DGC-EAL domain protein, in Azospirillum brasilense. Sci Rep 11:520. doi: 10.1038/s41598-020-80125-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Kong W, Luo W, Wang Y, Liu Y, Tian Q, Zhao C, Liang H. 2022. Dual GGDEF/EAL-domain protein RmcA controls the type III secretion system of Pseudomonas aeruginosa by Interaction with CbrB. ACS Infect Dis 8:2441–2450. doi: 10.1021/acsinfecdis.2c00212 [DOI] [PubMed] [Google Scholar]
  • 31. Viruega-Góngora VI, Acatitla-Jácome IS, Zamorano-Sánchez D, Reyes-Carmona SR, Xiqui-Vázquez ML, Baca BE, Ramírez-Mata A. 2022. The GGDEF-EAL protein CdgB from Azospirillum baldaniorum Sp245, is a dual function enzyme with potential polar localization. PLoS One 17:e0278036. doi: 10.1371/journal.pone.0278036 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Galperin MY, Nikolskaya AN, Koonin EV. 2001. Novel domains of the prokaryotic two-component signal transduction systems. FEMS Microbiol Lett 203:11–21. doi: 10.1111/j.1574-6968.2001.tb10814.x [DOI] [PubMed] [Google Scholar]
  • 33. Hall CL, Lee VT. 2018. Cyclic-di-GMP regulation of virulence in bacterial pathogens. Wiley Interdiscip Rev RNA 9:e1454. doi: 10.1002/wrna.1454 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Valentini M, Filloux A. 2019. Multiple roles of c-di-GMP signaling in bacterial pathogenesis. Annu Rev Microbiol 73:387–406. doi: 10.1146/annurev-micro-020518-115555 [DOI] [PubMed] [Google Scholar]
  • 35. Robinson CD, Sweeney EG, Ngo J, Ma E, Perkins A, Smith TJ, Fernandez NL, Waters CM, Remington SJ, Bohannan BJM, Guillemin K. 2021. Host-emitted amino acid cues regulate bacterial chemokinesis to enhance colonization. Cell Host Microbe 29:1221–1234. doi: 10.1016/j.chom.2021.06.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Isenberg RY, Christensen DG, Visick KL, Mandel MJ. 2022. High levels of cyclic diguanylate interfere with beneficial bacterial colonization. MBio 13:e0167122. doi: 10.1128/mbio.01671-22 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Nyholm SV, Stabb EV, Ruby EG, McFall-Ngai MJ. 2000. Establishment of an animal-bacterial association: recruiting symbiotic vibrios from the environment. Proc Natl Acad Sci U S A 97:10231–10235. doi: 10.1073/pnas.97.18.10231 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Yip ES, Geszvain K, DeLoney-Marino CR, Visick KL. 2006. The symbiosis regulator rscS controls the syp gene locus, biofilm formation and symbiotic aggregation by Vibrio fischeri. Mol Microbiol 62:1586–1600. doi: 10.1111/j.1365-2958.2006.05475.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Visick KL. 2009. An intricate network of regulators controls biofilm formation and colonization by Vibrio fischeri. Mol Microbiol 74:782–789. doi: 10.1111/j.1365-2958.2009.06899.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Ludvik DA, Bultman KM, Mandel MJ. 2021. Hybrid histidine kinase BinK represses Vibrio fischeri biofilm signaling at multiple developmental stages. J Bacteriol 203:e0015521. doi: 10.1128/JB.00155-21 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Ruby EG, Asato LM. 1993. Growth and flagellation of Vibrio fischeri during initiation of the sepiolid squid light organ symbiosis. Arch Microbiol 159:160–167. doi: 10.1007/BF00250277 [DOI] [PubMed] [Google Scholar]
  • 42. Yip ES, Grublesky BT, Hussa EA, Visick KL. 2005. A novel, conserved cluster of genes promotes symbiotic colonization and sigma-dependent biofilm formation by Vibrio fischeri. Mol Microbiol 57:1485–1498. doi: 10.1111/j.1365-2958.2005.04784.x [DOI] [PubMed] [Google Scholar]
  • 43. Koehler S, Gaedeke R, Thompson C, Bongrand C, Visick KL, Ruby E, McFall‐Ngai M. 2019. The model squid–vibrio symbiosis provides a window into the impact of strain‐ and species‐level differences during the initial stages of symbiont engagement. Environ Microbiol 21:3269–3283. doi: 10.1111/1462-2920.14392 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Rotman ER, Bultman KM, Brooks JF II, Gyllborg MC, Burgos HL, Wollenberg MS, Mandel MJ. 2019. Natural strain variation reveals diverse biofilm regulation in squid-colonizing Vibrio fischeri. J Bacteriol 201:e00033-19. doi: 10.1128/JB.00033-19 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. O’Shea TM, Klein AH, Geszvain K, Wolfe AJ, Visick KL. 2006. Diguanylate cyclases control magnesium-dependent motility of Vibrio fischeri . J Bacteriol 188:8196–8205. doi: 10.1128/JB.00728-06 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Bassis CM, Visick KL. 2010. The cyclic-di-GMP phosphodiesterase BinA negatively regulates cellulose-containing biofilms in Vibrio fischeri. J Bacteriol 192:1269–1278. doi: 10.1128/JB.01048-09 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Christensen DG, Marsden AE, Hodge-Hanson K, Essock-Burns T, Visick KL. 2020. LapG mediates biofilm dispersal in Vibrio fischeri by controlling maintenance of the VCBS-containing adhesin LapV. Mol Microbiol 114:742–761. doi: 10.1111/mmi.14573 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Tischler AH, Vanek ME, Peterson N, Visick KL. 2021. Calcium-responsive diguanylate cyclase CasA drives cellulose-dependent biofilm formation and inhibits motility in Vibrio fischeri. MBio 12:e0257321. doi: 10.1128/mBio.02573-21 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Ruby EG, Urbanowski M, Campbell J, Dunn A, Faini M, Gunsalus R, Lostroh P, Lupp C, McCann J, Millikan D, Schaefer A, Stabb E, Stevens A, Visick K, Whistler C, Greenberg EP. 2005. Complete genome sequence of Vibrio fischeri: a symbiotic bacterium with pathogenic congeners. Proc Natl Acad Sci U S A 102:3004–3009. doi: 10.1073/pnas.0409900102 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Mandel MJ, Stabb EV, Ruby EG. 2008. Comparative genomics-based investigation of resequencing targets in Vibrio fischeri: focus on point miscalls and artefactual expansions. BMC Genomics 9:138. doi: 10.1186/1471-2164-9-138 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Povolotsky TL, Hengge R. 2016. Genome-based comparison of cyclic di-GMP signaling in pathogenic and commensal Escherichia coli strains. J Bacteriol 198:111–126. doi: 10.1128/JB.00520-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52. Conner JG, Zamorano-Sánchez D, Park JH, Sondermann H, Yildiz FH. 2017. The ins and outs of cyclic di-GMP signaling in Vibrio cholerae. Curr Opin Microbiol 36:20–29. doi: 10.1016/j.mib.2017.01.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Wolfe AJ, Visick KL. 2010. The second messenger Cyclic Di-GMP. American Society for Microbiology Press. [Google Scholar]
  • 54. Shrestha P, Razvi A, Fung BL, Eichinger SJ, Visick KL. 2022. Mutational analysis of Vibrio fischeri c-di-GMP-modulating genes reveals complex regulation of motility. J Bacteriol 204:e0010922. doi: 10.1128/jb.00109-22 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Dial CN, Eichinger SJ, Foxall R, Corcoran CJ, Tischler AH, Bolz RM, Whistler CA, Visick KL. 2021. Quorum sensing and cyclic di-GMP exert control over motility of Vibrio fischeri KB2B1. Front Microbiol 12:690459. doi: 10.3389/fmicb.2021.690459 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56. Brooks JF II, Gyllborg MC, Cronin DC, Quillin SJ, Mallama CA, Foxall R, Whistler C, Goodman AL, Mandel MJ. 2014. Global discovery of colonization determinants in the squid symbiont Vibrio fischeri. Proc Natl Acad Sci U S A 111:17284–17289. doi: 10.1073/pnas.1415957111 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57. Beyhan S, Yildiz FH. 2007. Smooth to rugose phase variation in Vibrio cholerae can be mediated by a single nucleotide change that targets c-di-GMP signalling pathway. Mol Microbiol 63:995–1007. doi: 10.1111/j.1365-2958.2006.05568.x [DOI] [PubMed] [Google Scholar]
  • 58. Lim B, Beyhan S, Yildiz FH. 2007. Regulation of Vibrio polysaccharide synthesis and virulence factor production by CdgC, a GGDEF-EAL domain protein, in Vibrio cholerae. J Bacteriol 189:717–729. doi: 10.1128/JB.00834-06 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59. Waters CM, Lu W, Rabinowitz JD, Bassler BL. 2008. Quorum sensing controls biofilm formation in Vibrio cholerae through modulation of cyclic di-GMP levels and repression of vpsT. J Bacteriol 190:2527–2536. doi: 10.1128/JB.01756-07 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Hammer BK, Bassler BL. 2009. Distinct sensory pathways in Vibrio cholerae El Tor and classical biotypes modulate cyclic dimeric GMP levels to control biofilm formation. J Bacteriol 191:169–177. doi: 10.1128/JB.01307-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61. Hunter JL, Severin GB, Koestler BJ, Waters CM. 2014. The Vibrio cholerae diguanylate cyclase VCA0965 has an AGDEF active site and synthesizes cyclic di-GMP. BMC Microbiol 14:22. doi: 10.1186/1471-2180-14-22 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62. Kirillina O, Fetherston JD, Bobrov AG, Abney J, Perry RD. 2004. HmsP, a putative phosphodiesterase, and HmsT, a putative diguanylate cyclase, control Hms-dependent biofilm formation in Yersinia pestis . Mol Microbiol 54:75–88. doi: 10.1111/j.1365-2958.2004.04253.x [DOI] [PubMed] [Google Scholar]
  • 63. Purcell EB, McKee RW, McBride SM, Waters CM, Tamayo R. 2012. Cyclic diguanylate inversely regulates motility and aggregation in Clostridium difficile . J Bacteriol 194:3307–3316. doi: 10.1128/JB.00100-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64. Edmunds AC, Castiblanco LF, Sundin GW, Waters CM. 2013. Cyclic Di-GMP modulates the disease progression of Erwinia amylovora. J Bacteriol 195:2155–2165. doi: 10.1128/JB.02068-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. Dunn AK, Millikan DS, Adin DM, Bose JL, Stabb EV. 2006. New rfp- and pES213-derived tools for analyzing symbiotic Vibrio fischeri reveal patterns of infection and lux expression in situ . Appl Environ Microbiol 72:802–810. doi: 10.1128/AEM.72.1.802-810.2006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66. Spurbeck RR, Tarrien RJ, Mobley HLT. 2012. Enzymatically active and inactive phosphodiesterases and diguanylate cyclases are involved in regulation of motility or sessility in Escherichia coli CFT073. MBio 3:e00307-12. doi: 10.1128/mBio.00307-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67. Sloup RE, Konal AE, Severin GB, Korir ML, Bagdasarian MM, Bagdasarian M, Waters CM. 2017. Cyclic Di-GMP and VpsR induce the expression of type II secretion in Vibrio cholerae. J Bacteriol 199:e00106-17. doi: 10.1128/JB.00106-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68. Pursley BR, Maiden MM, Hsieh M-L, Fernandez NL, Severin GB, Waters CM. 2018. Cyclic di-GMP regulates TfoY in Vibrio cholerae to control motility by both transcriptional and posttranscriptional mechanisms. J Bacteriol 200:e00578-17. doi: 10.1128/JB.00578-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69. Fernandez NL, Hsueh BY, Nhu NTQ, Franklin JL, Dufour YS, Waters CM. 2020. Vibrio cholerae adapts to sessile and motile lifestyles by cyclic di-GMP regulation of cell shape. Proc Natl Acad Sci U S A 117:29046–29054. doi: 10.1073/pnas.2010199117 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70. O’Shea TM, Deloney-Marino CR, Shibata S, Aizawa S-I, Wolfe AJ, Visick KL. 2005. Magnesium promotes flagellation of Vibrio fischeri . J Bacteriol 187:2058–2065. doi: 10.1128/JB.187.6.2058-2065.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71. Zamorano-Sánchez D, Xian W, Lee CK, Salinas M, Thongsomboon W, Cegelski L, Wong GCL, Yildiz FH. 2019. Functional specialization in Vibrio cholerae diguanylate cyclases: distinct modes of motility suppression and c-di-GMP production. MBio 10:e00670-19. doi: 10.1128/mBio.00670-19 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72. Beyhan S, Odell LS, Yildiz FH. 2008. Identification and characterization of cyclic diguanylate signaling systems controlling rugosity in Vibrio cholerae . J Bacteriol 190:7392–7405. doi: 10.1128/JB.00564-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73. Yang C-Y, Chin K-H, Chuah M-C, Liang Z-X, Wang A-J, Chou S-H. 2011. The structure and inhibition of a GGDEF diguanylate cyclase complexed with (c-di-GMP)(2) at the active site. Acta Crystallogr D Biol Crystallogr 67:997–1008. doi: 10.1107/S090744491104039X [DOI] [PubMed] [Google Scholar]
  • 74. Rao F, Yang Y, Qi Y, Liang Z-X. 2008. Catalytic mechanism of cyclic di-GMP-specific phosphodiesterase: a study of the EAL domain-containing RocR from Pseudomonas aeruginosa . J Bacteriol 190:3622–3631. doi: 10.1128/JB.00165-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75. El Mouali Y, Kim H, Ahmad I, Brauner A, Liu Y, Skurnik M, Galperin MY, Römling U. 2017. Stand-alone EAL domain proteins form a distinct subclass of EAL proteins involved in regulation of cell motility and biofilm formation in enterobacteria. J Bacteriol 199:e00179-17. doi: 10.1128/JB.00179-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76. Cockerell SR, Rutkovsky AC, Zayner JP, Cooper RE, Porter LR, Pendergraft SS, Parker ZM, McGinnis MW, Karatan E. 2014. Vibrio cholerae NspS, a homologue of ABC-type periplasmic solute binding proteins, facilitates transduction of polyamine signals independent of their transport. Microbiology (Reading, Engl) 160:832–843. doi: 10.1099/mic.0.075903-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77. Bridges AA, Prentice JA, Fei C, Wingreen NS, Bassler BL. 2022. Quantitative input-output dynamics of a c-di-GMP signal transduction cascade in Vibrio cholerae . PLoS Biol 20:e3001585. doi: 10.1371/journal.pbio.3001585 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78. Dahlstrom KM, Collins AJ, Doing G, Taroni JN, Gauvin TJ, Greene CS, Hogan DA, O’Toole GA. 2018. A multimodal strategy used by a large c-di-GMP network. J Bacteriol 200:e00703-17. doi: 10.1128/JB.00703-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79. Kaczmarczyk A, van Vliet S, Jakob RP, Teixeira RD, Scheidat I, Reinders A, Klotz A, Maier T, Jenal U. 2024. A genetically encoded biosensor to monitor dynamic changes of c-di-GMP with high temporal resolution. Nat Commun 15:3920. doi: 10.1038/s41467-024-48295-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80. Graf J, Dunlap PV, Ruby EG. 1994. Effect of transposon-induced motility mutations on colonization of the host light organ by Vibrio fischeri . J Bacteriol 176:6986–6991. doi: 10.1128/jb.176.22.6986-6991.1994 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81. Visick KL, Ruby EG. 2006. Vibrio fischeri and its host: it takes two to tango. Curr Opin Microbiol 9:632–638. doi: 10.1016/j.mib.2006.10.001 [DOI] [PubMed] [Google Scholar]
  • 82. Mandel MJ, Schaefer AL, Brennan CA, Heath-Heckman EAC, Deloney-Marino CR, McFall-Ngai MJ, Ruby EG. 2012. Squid-derived chitin oligosaccharides are a chemotactic signal during colonization by Vibrio fischeri. Appl Environ Microbiol 78:4620–4626. doi: 10.1128/AEM.00377-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83. Brennan CA, DeLoney-Marino CR, Mandel MJ. 2013. Chemoreceptor VfcA mediates amino acid chemotaxis in Vibrio fischeri. Appl Environ Microbiol 79:1889–1896. doi: 10.1128/AEM.03794-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84. Stabb EV, Ruby EG. 2002. RP4-based plasmids for conjugation between Escherichia coli and members of the vibrionaceae. Methods Enzymol 358:413–426. doi: 10.1016/s0076-6879(02)58106-4 [DOI] [PubMed] [Google Scholar]
  • 85. Christensen DG, Visick KL. 2020. Vibrio fischeri: laboratory cultivation, storage, and common phenotypic assays. Curr Protoc Microbiol 57:e103. doi: 10.1002/cpmc.103 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86. Boettcher KJ, Ruby EG. 1990. Depressed light emission by symbiotic Vibrio fischeri of the sepiolid squid Euprymna scolopes . J Bacteriol 172:3701–3706. doi: 10.1128/jb.172.7.3701-3706.1990 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87. Visick KL, Hodge-Hanson KM, Tischler AH, Bennett AK, Mastrodomenico V. 2018. Tools for rapid genetic engineering of Vibrio fischeri . Appl Environ Microbiol 84:e00850-18. doi: 10.1128/AEM.00850-18 [DOI] [PMC free article] [PubMed] [Google Scholar]

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DOI: 10.1128/msystems.00956-24.SuF1

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