Abstract
The cyclic di-GMP (c-di-GMP) second messenger represents a signaling system that regulates many bacterial behaviors and is of key importance for driving the lifestyle switch between motile loner cells and biofilm formers. This review provides an up-to-date summary of c-di-GMP pathways connected to biofilm formation by the opportunistic pathogen P. aeruginosa. Emphasis will be on the timing of c-di-GMP production over the course of biofilm formation, to highlight non-uniform and hierarchical increases in c-di-GMP levels, as well as biofilm growth conditions that do not conform with our current model of c-di-GMP.
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1 Introduction
Pseudomonas aeruginosa is a Gram-negative bacterium that is found in a diverse array of environments such as soil and water, and are found in plant, animal, or human hosts. This ubiquitous bacterium causes chronic, persistent infections in individuals with compromised immune systems, epithelial damage, or cystic fibrosis (CF), is the second leading cause of hospital-acquired infections such as ventilator-associated pneumonia and various sepsis syndromes, and is routinely the most common cause of fatalities in patients with nosocomial infections (CDC 2019, 2020; Costerton et al. 1999). Matrix-enclosed aggregates known as biofilms are associated with many nosocomial and chronic, persistent infections. According to the National Institutes of Health, biofilms are responsible for >80% of microbial infections and >60% of all nosocomial infections, with the Center for Disease Control (CDC) estimating biofilms to be the etiologic agent in 60% of all chronic infections. P. aeruginosa is the second leading cause of these infections.
Bacteria display to modes of growth, planktonically or as biofilms. In the planktonic mode of growth, bacteria appear as single and independent free-floating cells, while in the biofilm mode of growth, bacteria are organized in surface-attached sessile aggregates that are encased in a biofilm matrix composed of exopolysaccharides, extracellular DNA (eDNA) and proteins during biofilm formation (Flemming 2016; Flemming et al. 2007). The mode of growth is consequential to bacterial behavior. The biofilm mode of growth is beneficial for bacteria in that it allows cells to maintain close proximity to nutrients, promotes exchange of genetic material, and confers cells protection from a variety of chemical and environmental stresses (e.g., nutrient limitation, desiccation, and shear forces), as well as engulfment by protozoa in the environment or by phagocytes in a host (Davey and O’Toole 2000). Additionally, biofilm bacteria are protected from killing by antibiotics, with bacteria living in biofilms being up to 1000 times less susceptible to antimicrobial compounds when compared to their planktonic counterparts (Davies 2003). The reduced antibiotic susceptibility of biofilm bacteria contributes to the persistence of biofilm infections.
Biofilm formation by P. aeruginosa has been described as a sequential, highly regulated process, involving at least five phenotypically distinct stages, with each biofilm developmental stage corresponding to unique patterns of protein production and gene expression (Stoodley et al. 2002; Petrova and Sauer 2009; Petrova et al. 2017; O’Toole and Kolter 1998; Davey and O’Toole 2000; Sauer et al. 2002). The stages are referred to as reversible and irreversible attachment, biofilm maturation I and II involving cluster and microcolony formation, respectively, and dispersion (Stoodley et al. 2002; Sauer et al. 2002). Key features relating to the sessile mode of growth include loss of flagella gene expression, production of biofilm matrix components, induction of antibiotic tolerance mechanisms (including efflux-pumps even when biofilms were grown in the absence of antibiotics) and increased levels of virulence determinants (Heacock-Kang et al. 2017; Williamson et al. 2012; Liao et al. 2013). Dispersion is generally characterized as the terminal stage of biofilm development, as cells escape from the biofilm structure to return to the single cell, planktonic mode of growth (reviewed in Rumbaugh and Sauer 2020). Dispersion is assumed to lead to the translocation of bacteria to new sites for colonization. The phenotypic changes noted upon transition to the sessile mode of growth as well as the return to the planktonic mode of growth are driven by multiple signaling systems such as HptB, Wsp, and Pil-Chp systems capable of modulating the intracellular level of the second messenger molecule, cyclic di-GMP (c-di-GMP).
c-di-GMP has emerged as a key regulator of biofilm formation (Valentini and Filloux 2016; Römling et al. 2013; Jenal et al. 2017). C-di-GMP is a ubiquitous bacterial second messenger capable of regulating a myriad of cellular functions in bacteria, including group behavior such as surface-associated motility, surface adaptation, biofilm formation, and cell cycle progression, as well as virulence (Valentini and Filloux 2016; Römling et al. 2013; Jenal et al. 2017). The level of c-di-GMP in the cell is contingent on the activity of two groups of enzymes: diguanylate cyclase (DGC) and phosphodiesterase (PDE) (Simm et al. 2004; Ryjenkov et al. 2005; Chan et al. 2004). DGCs, with a canonical GG(D/E)EF motif, synthesize c-di-GMP from two molecules of GTP, while PDEs, with a canonical E(A/E/V)L motif, degrade c-di-GMP to pGpG (Hengge 2009; Römling and Amikam 2006) which is hydrolyzed into two GMP molecules by the oligoribonuclease Orn (Cohen et al. 2015; Orr et al. 2015). More recently, proteins with an HD-GYP domain were also shown to demonstrate c-di-GMP phosphodiesterase activity (Dow et al. 2006). It is now widely recognized that high c-di-GMP levels favor the biofilm mode of growth, while low levels favor the motile, planktonic mode of growth (Römling et al. 2013). Estimates suggest that P. aeruginosa planktonic cells harbor less than 30 pmol/mg c-di-GMP, whereas biofilms harbored close to 100 pmol/mg c-di-GMP (Gupta et al. 2014).
In many bacterial species, including P. aeruginosa, elevated c-di-GMP results in repression of flagellar-driven motility, by repressing the transcription of flagellar genes or acting post-transcriptionally to regulate flagellar reversals and/or speed, either by interacting with specific flagellar motor proteins or by altering the chemotactic signal transduction system (Baraquet and Harwood 2013; Boehm et al. 2010; Orr and Lee 2016). In contrast, elevated c-di-GMP promotes the expression of genes involved in producing a biofilm matrix (Römling et al. 2013). In P. aeruginosa, the biofilm matrix is composed of polysaccharides (Pel, Psl, alginate), extracellular (e)DNA, and matrix stabilizing proteins such as CdrA and LecB (Flemming 2016; Flemming et al. 2007; Flemming and Wingender 2010; Ryder et al. 2007; Rybtke et al. 2015; Borlee et al. 2010; Reichhardt et al. 2018; Ma et al. 2009). The cdrA, pel, and psl genes are all transcriptionally induced under conditions of high c-di-GMP (Starkey et al. 2009). While P. aeruginosa PAO2 produces both Pel and Psl polysaccharides, P. aeruginosa PA14 is only capable of producing the Pel polysaccharide (Friedman and Kolter 2004a, b).
The current thinking in the field is that once cells attach to a surface, they uniformly respond by producing c-di-GMP. This is supported by the finding that flooding the cell with c-di-GMP induces phenotypic changes associated with high c-di-GMP levels (e.g., aggregative behavior, matrix production, cessation of motility), and the transition to surface-associated lifestyle, while draining the cell induces transition to the motile mode of growth (Römling et al. 2013). However, given that biofilm formation progresses linearly through a number of distinct steps and coinciding with the formation of subpopulations in response to chemical gradients (reviewed in Serra and Hengge 2014), it is more likely that c-di-GMP levels are not produced in a uniform manner but increase in a hierarchical or stepwise manner. It is thus likely that our current model of c-di-GMP-dependent biofilm formation underestimates the complexity of the c-di-GMP signaling network. This review will focus on events linked to c-di-GMP production at different stages of biofilm development by the model organism P. aeruginosa. Emphasis will be on the timing of c-di-GMP production to highlight non-uniform and hierarchical increases in c-di-GMP levels, as well as biofilm growth conditions that do not conform with our current model of the role of c-di-GMP in biofilm development.
2 The First Contact with the Surface: Timing and Heterogeneity of Contact-Dependent Modulation of c-di-GMP Levels
The transition from a planktonic to the biofilm mode of growth is key to the survival of microbes in nature, and it is initiated by bacteria first sensing a surface. Surface sensing is contact dependent and involves transmitting the surface signal intracellularly, followed by responding to that signal to activate downstream pathways, ultimately leading to attachment and subsequent biofilm formation. A key regulator of this switch is the second messenger c-di-GMP (Römling et al. 2013; Jenal et al. 2017). In P. aeruginosa, at least two surface-sensing systems that produce c-di-GMP in response to surface contact have been reported. These are the Wsp and Pil-Chp systems (Fig. 3.1).
The Wsp system senses an unknown surface-related signal (recently proposed to be membrane perturbation (Chen et al. 2014)) through WspA, a membrane-bound protein homologous to methyl-accepting chemotaxis proteins (MCPs). Activation of this system stimulates phosphorylation of the diguanylate cyclase WspR, with phosphorylation of WspR increasing its activity, resulting in increased c-di-GMP levels that, in turn, induces the production of the biofilm matrix polysaccharide Pel and Psl (Hickman et al. 2005; Huangyutitham et al. 2013) (Fig. 3.1a). The Wsp system is localized laterally along the cell (O’Connor et al. 2012), suggesting that P. aeruginosa deploys a laterally localized systems to promote c-di-GMP synthesis in response to a surface.
The second surface-sensing mechanism involves the Pil-Chp system. This surface-sensing mechanism is more complex and involves a cascade of intracellular signaling molecules. The Pil-Chp system, comprised by the PilGHIJK-ChpABC complex functions as a chemotaxis-like system (Whitchurch et al. 2004; Darzins 1994; Sampedro et al. 2014) to detect surface contact on short timescales, using the mechanical activity of its type IV pili, a major surface adhesin (Persat et al. 2015) (Fig. 3.1b). Surface contact sensing requires attachment of type IV pili to a solid surface, followed by pilus retraction, which exerts tension on type IV pili. This modulates the interaction between the periplasmic domain of the methyl-accepting chemotaxis protein-like chemosensor PilJ with the major pilin subunit PilA (Persat et al. 2015), resulting in a signal transduction event to the cytoplasm, as follows: PilJ activates the CheA homolog ChpA complexed with the CheW homolog PilI, ultimately stimulating the adenylate cyclase CyaB to produce cyclic AMP (cAMP) (Persat et al. 2015; Luo et al. 2015) (Fig. 3.1b). cAMP then binds to the receptor protein Vfr, which in turn, together with the FimS-AlgR two-component system (TCS), upregulates not only the expression of numerous virulence factors, but also the fimU-pilVWXY1Y2E operon (Persat et al. 2015; Luo et al. 2015). Amongst the components being thus produced is the cell surface-associated protein PilY1 (Fig. 3.1b). Upon complete assembly of the type IV pili alignment complex (PilMNOP) at the cell surface, PilY1 is secreted. As the secretion of PilY1 is dependent on the type IV pili assembly system, PilY1 is not deployed until the pilus is assembled (Luo et al. 2015). Cell surface-associated PilY1, in turn, provides the signal to activate c-di-GMP production generated by the diguanylate cyclase SadC (Fig. 3.1b). Recent findings indicate that SadC’s diguanylate cyclase activity is dependent on the type IV pili alignment complex PilMNOP and more specifically, PilO (Webster et al. 2021). The findings suggested that the Pil-Chp and type IV pili alignment complexes work in concert to regulate cAMP and c-di-GMP production, thereby employing a hierarchical regulatory cascade of second messengers, cAMP and c-di-GMP, to coordinate its program of surface behaviors.
But why two surface contact systems? Initial attachment by P. aeruginosa has been reported to occur in two phases, reversible and irreversible attachment. The reversible attachment phase is characterized by cells first attaching to a surface by a single pole. Such cells either return to the bulk phase or commit to a more stable surface interaction by attaching via their longitudinal axis, referred to as irreversible attachment (Fig. 3.2). Once cells are irreversibly attached, P. aeruginosa will stop moving and ultimately multiply and form aggregates. The two points of attachment by P. aeruginosa are linked to the location of the contact sensory system. In P. aeruginosa, PilY1 is co-localized with type IV pili at the cell pole (Luo et al. 2015; Kuchma et al. 2010), while the Wsp system is localized laterally along the cell (O’Connor et al. 2012). Considering that P. aeruginosa first makes surface contact via its pole and then attaches longitudinal, the finding suggests that the Pil-Chp contact sensory system is the first of the two surface-sensing systems to be activated (Fig. 3.2). Recent findings also suggest that the Pil-Chp system likely contributes to a gradual buildup of c-di-GMP in surface-associated cells that are reversibly attached, likely through successive surface interactions and detachments (Armbruster and Parsek 2018; Lee et al. 2018). Repeated surface exposure thus enables cells to become surface adapted, with surface adaptation coinciding with a progressive increase in cellular cAMP levels and likely subsequent increase in c-di-GMP (Armbruster and Parsek 2018; Lee et al. 2018) (Fig. 3.2). The finding of progressive surface adaptation prior to cells becoming irreversibly attached may furthermore explain the time needed for cells to transition from the reversible to the irreversible attachment stage. Based on proteomic approaches and reporter gene studies, the transition to the irreversible attachment stage has been reported to occur within 6 h post initial attachment by P. aeruginosa when grown under flowing conditions (Chambers et al. 2014; Petrova and Sauer 2011). The timing is in agreement with findings by Lee et al. (2018) of the cAMP signal increase and its impact on type IV pili being offset by about 5 h. However, evidence suggests that attached cells may not uniformly elevate c-di-GMP levels upon attachment. Using a plasmid-based c-di-GMP reporter (pPcdrA::gfp) to monitor c-di-GMP levels in a clonal population of P. aeruginosa as they began to form biofilms, Armbruster et al. (2019) demonstrated heterogeneity in c-di-GMP levels by the attached population. In contrast to the general belief of attached cells uniformly producing c-di-GMP, the study revealed two physiologically distinct subpopulations of cells were noted, cells with high and low c-di-GMP levels. The two subpopulations were found to perform complementary and important tasks in the early stages of biofilm formation. The subpopulation with elevated c-di-GMP represented “biofilm founders” and produced biofilm matrix, whereas the low c-di-GMP cells represented “surface explorers” that engaged in surface motility, allowing for exploration of the surface (Armbruster et al. 2019). The heterogeneity was generated by the Wsp system (Armbruster et al. 2019).
3 Consequences of Surface Contact and Downstream Factors
Following the first contact with a surface and in response to elevated c-di-GMP, the phenotype of surface-associated P. aeruginosa cells switches. Several c-di-GMP effectors are responsible for the regulatory function of c-di-GMP through transcriptional, posttranscriptional, translational, and protein–protein interaction mechanisms. So far, five types of c-di-GMP receptors have been found: (1) effector proteins, such as PilZ domain proteins that bind to c-di-GMP to regulate other proteins or enzymes via domain–domain or protein–protein interactions; (2) degenerate GGDEF proteins that are no longer catalytically proficient; (3) proteins with enzymatic activity that demonstrated enhanced activity upon c-di-GMP binding; (4) c-di-GMP-responsive transcription factors or repressors, and (5) c-di-GMP riboswitches. c-di-GMP riboswitches are structured RNAs located in the 5′-untranslated regions (5′-UTRs) of mRNAs that regulate expression of downstream genes in response to changing concentrations of the second messenger c-di-GMP. While riboswitches have been identified in pathogens, such as Clostridium difficile, Vibrio cholerae, and Bacillus anthracis, P. aeruginosa lacks c-di-GMP riboswitches. The remaining c-di-GMP receptors, however, are present in P. aeruginosa. An overview of these receptors and their contribution to the phenotypic switch by P. aeruginosa upon transition to the surface-associated mode of growth is given below.
High c-di-GMP levels negatively affect swarming motility. In P. aeruginosa, the rotation of the polar flagellum is controlled by two distinct stator complexes, MotAB, which cannot support swarming motility, and MotCD, which promotes swarming motility (Toutain et al. 2007). At elevated c-di-GMP levels, swarming motility is repressed by the PilZ domain-containing protein FlgZ (PA3353), with the c-di-GMP-bound FlgZ impeding motility via its increased interaction with the MotCD stator at the cell pole (Baker et al. 2016).
Additional regulatory systems contribute to the inverse regulation of motility and matrix production. These include the HptB pathway, AmrZ(Jones et al. 2014) and FleQ. The HptB pathway regulates behaviors such as chemotaxis, twitching, swimming, swarming motility and biofilm formation by partially interfering with flagellar gene expression and by partially intersecting with the Gac/Rsm cascade (Hsu et al. 2008; Bordi et al. 2010; Bhuwan et al. 2012; Valentini et al. 2016) (Fig. 3.3). The pathway is composed of the histidine phosphotransfer protein HptB (PA3345), the response regulator HsbR (PA3346), the anti-anti sigma factor HsbA, and the diguanylate cyclase HsbD. Briefly, when HptB is phosphorylated, it activates the phosphatase domain of HsbR, which in turn dephosphorylates HsbA. Dephosphorylated form of HsbA sequesters the anti-sigma factor FlgM from the FliA sigma factor (σ28), with free FliA activating flagellar gene expression and hence swimming and swarming motility (Hsu et al. 2008; Bhuwan et al. 2012) (Fig. 3.3). In contrast, when HptB is inactive, HsbR is dephosphorylated and its Ser/Thr kinase domain is promoted. Under these conditions, phosphorylated HsbA interacts via the kinase activity of HsbR with the diguanylate cyclase HsbD (Valentini et al. 2016). The switch in HsbA interaction partners from FlgM to HsbD coincides with enhanced HsbD diguanylate cylcase activity, and thus, increased c-di-GMP levels (Fig. 3.3). Additionally, increased levels of the small regulatory RNA (sRNA) RsmY have been reported. The HptB pathway thus contributes to the repression of swimming motility while enhancing twitching motility and biofilm formation.
An additional c-di-GMP receptor affecting motility is FleQ. More specifically, FleQ is a c-di-GMP-responsive transcription factor that inversely regulates flagellar-driven motility and matrix production. At low c-di-GMP levels, FleQ positively regulates flagellar-driven motility the flhA gene to start the cascade of flagellar gene expression (Dasgupta et al. 2003). At high c-di-GMP levels, FleQ upregulates genes encoding the biofilm matrix components, Pel and Psl, and the adhesion CdrA. The activity of FleQ is modulated by at least two factors: the putative ATP/GTP binding protein, FleN, and c-di-GMP (Baraquet and Harwood 2013; Dasgupta and Ramphal 2001; Hickman and Harwood 2008; Baraquet et al. 2012). The binding constant (Kd) for c-di-GMP binding by FleQ has been reported to be 15–20 μM (Hickman and Harwood 2008; Baraquet et al. 2012). FleN inhibits FleQ ATPase activity by directly interaction. Moreover, binding by c-di-GMP to FleQ induces a conformational change of FleQ, which is furthermore linked to the inhibition of the FleQ ATPase activity, apparent by FleQ ATPase activity being more inhibited by c-di-GMP in the presence of FleN than in its absence. Therefore, FleN and c-di-GMP cooperate to inhibit FleQ activity, resulting in the repression of flagellar genes but the relieve of transcriptional repression of cdrA, pel, and psl genes necessary for biofilm formation (Borlee et al. 2010; Baraquet et al. 2012). The latter are components of the P. aeruginosa biofilm matrix (P. aeruginosa PA14 does not produce the Psl polysaccharide (Friedman and Kolter 2004a, b)). Given the high level of c-di-GMP required for FleQ to repress flagellar gene expression (or enable expression of genes linked to the biofilm matrix), it is likely that FleQ activity represents a second level of control, post-regulation by c-di-GMP binding proteins capable of domain–domain or protein–protein interactions such as FlgZ. In addition to FleQ, the Wsp system contribute to Pel and Psl polysaccharide production (Hickman et al. 2005; Huangyutitham et al. 2013). The Pel and Psl polysaccharide promote irreversible attachment, apparent by P. aeruginosa PA14 Δpel and P. aeruginosa PAO1 Δpsl mutants being both arrested at the monolayer stage of biofilm development, with concurrent reduction in accumulated biofilm biomass compared to their respective parental strains (Colvin et al. 2012). Moreover, the Psl polysaccharide itself enhances attachment. P. aeruginosa PAO1 migrating across a surface has been demonstrated to leave a trail of the Psl polysaccharide (Zhao et al. 2013) which acts as a signal to stimulate two diguanylate cyclases, SiaD and SadC, that in turn produce the intracellular secondary messenger molecule c-di-GMP (Irie et al. 2012) (Fig. 3.2). Elevated intracellular concentrations of c-di-GMP then lead to the increased production of Psl and other components required for attachment and biofilm formation. The positive feedback regulatory circuit of an extracellular polysaccharide promotes biofilm growth has been reported to be analogous to autocrine signaling in eukaryotes (Irie et al. 2012).
CdrA is an adhesin that reinforces the biofilm matrix by binding to and cross-linking Psl and Pel (Rybtke et al. 2015; Borlee et al. 2010; Reichhardt et al. 2020). At high c-di-GMP levels, CdrA is located at the outer membrane in a cell-associated form. However, at low intracellular c-di-GMP levels, the periplasmic cysteine protease LapG targets the membrane-anchor of CdrA, resulting in the release of CdrA from the outer membrane (Chatterjee et al. 2014). The c-di-GMP sensing component of the Lap system is LapD, a c-di-GMP receptor protein located in the inner membrane that senses c-di-GMP via its degenerate EAL domain (Rybtke et al. 2015; Cooley et al. 2016). Under condition of high c-di-GMP, c-di-GMP interacts with the EAL domain of LapD, which in turn sequesters LapG. When c-di-GMP levels are low, the protease LapG is released into periplasm, where it cleaves CdrA at a C-terminal TAAG site, resulting in CdrA being secreted. Secretion of CdrA promotes dispersion and the planktonic mode of growth, while tethered CdrA promotes biofilm stability and aggregative behavior (Reichhardt et al. 2020; Cherny and Sauer 2020). A homologous system regulating the transition from reversible to irreversible attachment is present in P. fluorescens and P. putida in which CdrA is substituted by LapA (Hinsa et al. 2003; Monds et al. 2007; Newell et al. 2009; Gjermansen et al. 2010; Newell et al. 2011).
Other regulatory systems that are activated during the attachment phase and either directly or indirectly contribute to the phenotypic switch, include the SadBC/BifA system (Figs. 3.1b and 3.2), GcbA, and SagS (Figs. 3.2 and 3.3). The SadBC/BifA system is composed of the DGCs SadB and SadC and PDE BifA, and contributes to the transition from the reversible to the irreversible attachment by regulating several surface-associated behaviors, including swarming, polysaccharide production, and modulation of flagellar reversal rates via the chemotaxis cluster IV in a c-di-GMP-dependent manner (Kuchma et al. 2007; Merritt et al. 2007). DGCs SadB and SadC and PDE BifA inversely modulate c-di-GMP levels (Kuchma et al. 2007; Merritt et al. 2007). The DGC GcbA likewise affects flagellum-driven motility by suppressing flagellar reversal rates in a manner independent of viscosity, surface hardness, and polysaccharide production (Petrova et al. 2014). SagS is a membrane-bound sensor that under planktonic conditions functions within the HptB pathway to inversely regulate motility and c-di-GMP levels produced by the DGC HsbD (Hsu et al. 2008; Bhuwan et al. 2012; Valentini et al. 2016) (Fig. 3.3). Upon P. aeruginosa transition to the surface, however, SagS has been reported to interact with and phosphorylate the two-component system BfiSR (Petrova and Sauer 2011; Petrova and Sauer 2010). The switch in interactions partners coincides with differential phosphorylation of SagS (Petrova and Sauer 2009; Petrova and Sauer 2011). Moreover, in the sessile mode, SagS (in)directly interacting with two DGCs, NicD and PA3177 (Park et al. 2021; Poudyal and Sauer 2018a) (Fig. 3.3). Inactivation of sagS correlated with biofilms being arrested at the irreversible attachment state, with biofilms formed by ΔsagS exhibited significantly reduced c-di-GMP levels relative to wild-type biofilms (Petrova et al. 2017; Gupta et al. 2014; Park et al. 2021). While wild-type P. aeruginosa biofilms harbored approximately 75–78 pmol/mg c-di-GMP, ΔsagS biofilms only displayed 33 ± 2 pmol/mg c-di-GMP. Nevertheless, ΔsagS biofilms harbor 2–3 times higher c-di-GMP levels compared to planktonic cells, suggesting the notion of stepwise increase of c-di-GMP.
Several c-di-GMP modulating systems are activated upon attachment by P. aeruginosa to the surface (Figs. 3.2 and 3.4). While little is known about the timing of activation relative to each other, it is furthermore apparent that each system adds to the increasing c-di-GMP pool present in attached cells as they progress through the initial attachment stages of biofilm formation (Fig. 3.2). Given the multitude of systems, it is unclear why so many seemingly redundant systems are required to generate c-di-GMP, considering that inactivation of either system arrests biofilms at an early attachment stage. As findings by Armbruster et al. (2019) indicated that attached cells do not uniformly produce c-di-GMP at the same level, it is likely that the systems are activated in a sequential manner to ensure the progressive increase in c-di-GMP levels. If this is the case, c-di-GMP levels likely increase in a hierarchical manner, starting with planktonic cells contacting the surface, followed by the transition to the irreversible attachment stage, and beyond (Figs. 3.2 and 3.4). Support for a stepwise increase in c-di-GMP levels stems from mutants arrested at the transition to the irreversible attachment stage, demonstrating intermediate c-di-GMP levels relative to planktonic and mature biofilm cells.
4 Key Players Contributing to Biofilm Maturation
The genome of P. aeruginosa PA14 harbors 40 genes with predicted GGDEF, EAL, and HD-GYP domains either singly or in combination (Kulesekara et al. 2006). These c-di-GMP modulating proteins can be divided into four subclasses: 16 GGDEF-only, 5 EAL-only, 16 dual-domain GGDEF/EAL, and 3 HD-GYP-only proteins. The genome of P. aeruginosa PAO1 encodes a similar number of predicted genes, 41, including 17 GGDEF-only, 5 EAL-only, and 16 dual-domain GGDEF/EAL (Jacobs et al. 2003; Ryan et al. 2009). The two strains differ in that strain PA14 lacks one DGC- (PA2771) and one PDE-encoding gene (PA2818, arr) but harbors one additional gene, pvrR, encoding a PDE domain, relative to strain PAO1. Two studies explored the contribution of c-di-GMP metabolism (biosynthesis or degradation) on biofilm formation (Kulesekara et al. 2006; Ha et al. 2014). The studies overall indicated that inactivation of genes encoding diguanylate cyclases (DGC, harboring GGDEF-only) coincided with reduced biofilm formation, while inactivation of enzymes and factors contributing to the degradation of c-di-GMP enhanced biofilm formation. An overview is given in Table 3.1 and Fig. 3.4. These studies supported the notion that high intracellular c-di-GMP levels correlate with a sessile lifestyle, or a biofilm state, while low levels of this signal promote motility and/or planktonic growth. Interestingly, the studies also demonstrated that not every c-di-GMP-producing enzyme contributes to biofilm formation, as some DGCs had no effect on P. aeruginosa PA14 biofilm formation (Table 3.1). These included DGCs (GGDEF-only) encoded by PA14_20820, PA14_40570, PA14_53310, PA14_57140, and PA14_65090 formed wild-type like biofilms (Ha et al. 2014). The studies differed with respect to the role of genes encoding dual-domain GGDEF/EAL in biofilm formation. While Kulesakara et al. (2006) found insertions in genes encoding dual-domain GGDEF/EAL to negatively affect biofilm formation, Ha et al. (2014) found strains inactivated in the respective genes to be less predictable with respect to biofilm formation, with the effect being dependent on whether the GGDEF or EAL domain was functional or degenerate. For instance, dual-domain GGDEF/EAL genes PA14_21190, PA14_56790 (bifA), and PA14_66320 (dipA) have been reported to encode proteins with PDE activity (Kuchma et al. 2007; Kulesekara et al. 2006; Basu Roy et al. 2012), with inactivation of the respective genes coinciding with enhanced or hyperbiofilm formation (Ha et al. 2014). Several studies furthermore revealed strain differences with respect to dual-domain GGDEF/EAL proteins. While inactivation of PA14_53140 (rbdA, RbdA has PDE activity) in P. aeruginosa PA14 had no effect on biofilm formation (Kulesekara et al. 2006; Ha et al. 2014), inactivation of rbdA in P. aeruginosa PAO1 caused hyperbiofilm formation (An et al. 2010). Similar strain differences have been reported for MucR, a bifunctional enzyme capable of both c-di-GMP biosynthesis and degradation (Li et al. 2013). While P. aeruginosa PAO1 carrying a mucR mutation formed wild-type-like biofilms (Li et al. 2013; Hay et al. 2009), the PA14_42220 (mucR) mutant formed biofilms at 60% of wild-type levels (Ha et al. 2014).
The two screens also revealed differences in the contribution of no role of PDEs (EAL-only, HDGYP-only) and dual-domain GGDEF/EAL demonstrating PDE activity. For instance, while mutants in genes encoding dual-domain GGDEF/EAL proteins capable of degrading c-di-GMP appear to form hyperbiofilms, PDE mutants belonging to the EAL-only subclass showed no significant difference from the wild-type strain (Kulesekara et al. 2006; Ha et al. 2014). This is in contrast to PDE mutants belonging to the HD-GYP-only subclass. Of the three 3 HD-GYP-only proteins, only PA14_30830 and PA14_ 63210 contributed to biofilm formation, apparent by mutants forming significantly reduced biofilms relative to wild type (Ha et al. 2014). It is of interest to note that the respective mutants also demonstrated reduced swarming and twitching motility as well as reduced congo red binding indicative of reduced biofilm matrix production, compared to the wild type (Ha et al. 2014). The finding of c-di-GMP-degrading phosphodiesterases thus affecting biofilm formation is surprising and not in line with the currently accepted model wherein elevated c-di-GMP levels promote biofilm formation. The findings suggest that our current model is too simple or oversimplified while also raising several questions:
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Does c-di-GMP turnover occur in mature biofilms to prevent the continued increase in c-di-GMP levels, and if so, is the turnover essential for the maintenance of the biofilm structure?
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Is c-di-GMP production and turnover spatially controlled within the biofilm? And if so, where in the biofilm does the degradation of c-di-GMP-degrading occur?
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Is this spatial control restricted to typically c-di-GMP-controlled biofilm functions such as matrix production?
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And what is the role of PDEs in biofilm formation?
5 c-di-GMP Levels and Maintenance of the Mature Biofilm Structure
Although high c-di-GMP levels are a key to enable the formation of biofilms, evidence suggests that c-di-GMP levels in mature biofilms are not uniformly high. Using a plasmid-based c-di-GMP reporter (pPcdrA::gfp) to monitor c-di-GMP levels for which the fluorescence intensity is directly proportional to the concentration of intracellular c-di-GMP (Rybtke et al. 2012), a striking difference in c-di-GMP concentrations was seen across the P. aeruginosa biofilm structure (Nair et al. 2017). Relatively high amounts of c-di-GMP were detected at the outer boundary of large, mature biofilms and hence, lower levels at the center of microcolonies (Nair et al. 2017). In contrast, smaller and less developed biofilms showed a more uniform distribution of c-di-GMP (Nair et al. 2017), likely suggesting that gradients (oxygen, nutrients, waste) contribute to the spatial distribution of c-di-GMP in biofilms (Rumbaugh and Sauer 2020; Serra and Hengge 2014). Moreover, the finding suggested c-di-GMP levels to fluctuate or decrease as the biofilm matures. Similar observations were made for Escherichia coli macrocolony biofilms gown on agar using fluorescent-based detection of the expression of pdeH (formerly yhjH) encoding the master phosphodiesterase PdeH in E. coli (Klauck et al. 2018). PdeH maintains low cellular c-di-GMP level in E. coli and thus, can serve as a reporter for low c-di-GMP zones within the biofilm (Sarenko et al. 2017). The study revealed differences in c-di-GMP levels in vertically cryo-sectioned macrocolony biofilms, with differences coinciding with stratified matrix production along nutrient gradients (Klauck et al. 2018).
It is likely that the spatial distribution of c-di-GMP within the biofilm structure is not only influenced by microenvironmental conditions but also linked to the maintenance of the mature biofilm structure. Maintaining a steady state of mature biofilms may involve localized matrix production/degradation or dispersion events to enable restructuring and/or continued growth of the biofilm. In support of biofilm maintenance coinciding with lower c-di-GMP levels is the finding that cell lysis-dependent production of extracellular DNA (eDNA), which is necessary for the formation of biofilms by many species, including P. aeruginosa, is stimulated by low c-di-GMP levels (Ueda and Wood 2010). Likewise, the architecture of mature biofilms is affected by motile cells on the biofilm surface, with lower c-di-GMP levels contributing to the sessility-to-motility transition of biofilm cells (Römling et al. 2013). Additionally, biofilm dispersion, an integral part of long-term biofilm maintenance, requires the presence of specific PDEs in P. aeruginosa (Rumbaugh and Sauer 2020; Petrova and Sauer 2016). However, lowering c-di-GMP levels does not appear to be solely a function of localized matrix remodeling to maintain mature biofilms in a steady state. Instead, P. aeruginosa biofilms make use of specific PDEs to ensure survival in times under conditions of nutrient limitations. The PDEs required for the maintenance of the biofilm architecture were identified as RmcA (PA0575, PA14_07500) and MorA (PA4601, PA14_60870) (Katharios-Lanwermeyer et al. 2021) (Fig. 3.4). Strains inactivated in rmcA and morA were unable to maintain the biofilm structure when exposed to carbon-limited conditions, resulting in subsequent loss of P. aeruginosa PA14 biofilm viability. Moreover, RmcA and MorA were found to interact with the Pel biosynthesis machinery (Katharios-Lanwermeyer et al. 2021), allowing the PDEs to interfere or modulate matrix production. The biofilm maintenance deficiency phenotype observed for the PDE mutants was also found for the stringent response mutant ΔrelAΔspoT, suggesting that a regulatory intersection between c-di-GMP signaling, extracellular polysaccharide biosynthesis, and the nutrient limitation response is important for biofilm persistence. Taken together, the findings suggested that unregulated Pel biosynthesis contributes to cell death of established biofilms under nutrient-limiting conditions, suggesting that too high c-di-GMP levels can be deleterious to biofilm cells (Katharios-Lanwermeyer et al. 2021). It is of interest to note that the PDEs RmcA and MorA are unrelated to those required for establishing or dispersing a biofilm, suggesting that a wide variety of c-di-GMP metabolizing enzymes in organisms such as P. aeruginosa allows for discrete control over the formation, maintenance, or dispersion of biofilms.
6 Biofilm Dispersion: The Return to Low c-di-GMP Levels
Biofilm dispersion is an integral part of the biofilm developmental life cycle as well as a mechanism to maintain biofilms in a steady-state (Rumbaugh and Sauer 2020; Petrova and Sauer 2016; Kim and Lee 2016; Sauer 2020) (Fig. 3.4). As a biofilm grows in size, some cells will become increasingly separated from the bulk liquid interface and essential sources of energy or nutrients. Accumulation of waste products and toxins in the interior of biofilms poses additional challenges. Being trapped deep within a biofilm can, therefore, threaten cell survival. Thus, biofilm cells have evolved mechanisms which enables escaping the sessile mode of growth as a means of self-preservation, by liberating themselves from matrix-encased biofilms, and reverting back to the planktonic mode of growth. The transition to the planktonic mode of growth is referred to as dispersion (Davies 1999), and is characterized by single cells actively escaping from the biofilm, leaving behind eroded biofilms and microcolonies having central voids (Stoodley et al. 2002; Sauer et al. 2002; Basu Roy et al. 2012; Petrova and Sauer 2016; Davies and Marques 2009; Basu Roy and Sauer 2014; Morgan et al. 2006; Petrova and Sauer 2012a; Petrova et al. 2015; Davies 2011). Dispersion rarely involves the entire biofilm, with no more than 80% of the biofilm biomass being removed upon induction of dispersion (Davies and Marques 2009; Morgan et al. 2006; Sauer et al. 2004; Barraud et al. 2009a, b). Instead, selected microcolonies or areas within a biofilm will undergo a dispersion event at any particular time, in a manner often dependent on microcolony diameter (Purevdorj-Gage et al. 2005). In P. aeruginosa, native dispersion occurs in response to the fatty acid messenger molecule cis-2-decenoic acid (Davies and Marques 2009) as well as in response to a variety of environmental stimuli, including nutrient cues (glucose, succinate, glutamate), nitric oxide (NO), and others (iron, heavy metals, nutrient and oxygen limitation, etc.) (Gjermansen et al. 2010; Morgan et al. 2006; Barraud et al. 2009a).
Contrary to the formation of biofilms, dispersion is generally linked to low c-di-GMP levels. Intracellular c-di-GMP levels decreased up to 50% in biofilms in response to sensing of the dispersion cue nitric oxide (Barraud et al. 2009b), and >50% in response to glutamate (Basu Roy et al. 2012). Considering that dispersal is primarily initiated in the center of biofilm microcolonies and coincides without completely removing the entire biomass (Sauer et al. 2004), it is likely that dispersion contributes to the non-uniform distribution of c-di-GMP throughout the biofilm, especially the low c-di-GMP levels in the center of biofilms (Nair et al. 2017). Moreover, dispersed cells demonstrate significantly increased PDE activity relative to biofilms, and c-di-GMP concentrations that closely resemble those of planktonic cells (Basu Roy et al. 2012).
Dispersion in response to environmental cues, such as glutamate or NO, requires the presence of c-di-GMP-degrading enzymes. These have been identified as DipA, RbdA, NbdA, and MucR (Basu Roy et al. 2012; An et al. 2010; Li et al. 2013) (Fig. 3.5). Phosphodiesterase NbdA contributes to dispersion in a cue-specific manner (Li et al. 2013; Basu Roy and Sauer 2014), with NbdA also perceiving the dispersion cue nitric oxide (Li et al. 2013). In contrast, phosphodiesterases DipA and RbdA are central to the dispersion response regardless of the dispersion cue (Basu Roy et al. 2012; Morgan et al. 2006; Petrova and Sauer 2012a, b; Petrova et al. 2015; Barraud et al. 2009b; Li et al. 2014). In support of PDEs and low c-di-GMP levels being required for dispersion, draining the cell of c-di-GMP—by overexpression of native PDEs, BifA, and PA2133, or the E. coli PDE PdeH (YhjH)—lead to the dispersal of P. aeruginosa biofilms (Andersen et al. 2021a; Christensen et al. 2013). However, PDEs do not appear to be the only c-di-GMP modulating enzymes required for dispersion to occur. Additional factors include two diguanylate cyclases, GcbA and NicD, and the chemotaxis-like MCP homolog BdlA (Basu Roy and Sauer 2014; Morgan et al. 2006; Petrova et al. 2015; Petrova and Sauer 2012a, b) (Fig. 3.5). BdlA is central to the dispersion response. Sensing of dispersion cues results in the activation of BdlA via c-di-GMP-dependent phosphorylation, apparent by a sudden rise or burst in c-di-GMP (Basu Roy and Sauer 2014), followed by non-processive proteolysis of BdlA (Petrova and Sauer 2012a, b). The source of this burst in c-di-GMP has been reported to be generated by the DGCs GcbA (PA4843) and NicD (PA4929) (Fig. 3.5) (Basu Roy and Sauer 2014; Petrova and Sauer 2012b). The two DGCs have been linked to the c-di-GMP-dependent phosphorylation and activation of BdlA (Basu Roy and Sauer 2014; Petrova and Sauer 2012b). Once activated, BdlA then recruits PDE RbdA and activates PDE DipA, ultimately resulting in an overall reduction of c-di-GMP levels and subsequent dispersion events (Li et al. 2013; Basu Roy and Sauer 2014; Cutruzzolà and Frankenberg-Dinkel 2016) (Fig. 3.5).
The phenotype of dispersed cells is distinct to biofilm cells, with dispersed cells demonstrating increased susceptibility to antimicrobial agents (Cherny and Sauer 2020; Cherny and Sauer 2019; Chambers et al. 2017) and flagellar-driven motility (Sauer et al. 2004). Recent findings suggest dispersion to coincide with the induction of several matrix-degrading enzymes, including the hydrolases PelA and PslG (Cherny and Sauer 2020) and the DNAses EndA and EddA (Cherny and Sauer 2019). Dispersion was furthermore enhanced by the release of the c-di-GMP responsive adhesin CdrA from the surface, with CdrA release likely contributing to the untethering of the matrix as a first step to enable Psl polysaccharide degradation (Cherny and Sauer 2020). The findings underscore that dispersion is likely a multi-step process to enable cells to revert back to a planktonic phenotype, a process that requires both high and low levels of c-di-GMP. Additionally, dispersion events are likely contributors to subpopulations within mature biofilms having low c-di-GMP levels.
7 Turnover and Modulation of the c-di-GMP Pool in Biofilms
Several small molecules have been reported to affect c-di-GMP pool. For instance, the intracellular pool of c-di-GMP is affected by 5′-phosphoguanylyl-(3′,5′)-guanosine (pGpG). pGpG is produced during the degradation of c-di-GMP, a two-step process involving EAL-dependent phosphodiesterases to linearize the c-di-GMP into pGpG, followed by hydrolysis by an oligoribonuclease into two GMPs. In P. aeruginosa, oligoribonuclease Orn (PA4951) has been identified as an oligoribonuclease required for c-di-GMP turnover and maintaining c-di-GMP homeostasis (Cohen et al. 2015; Orr et al. 2015). This was supported by loss of orn, resulting in increased intracellular levels of c-di-GMP and pGpG (Cohen et al. 2015). Moreover, loss of orn coincided with increased P. aeruginosa surface attachment and biofilm development, aggregation in liquid, and increased biofilm matrix production (Cohen et al. 2015). Moreover, high levels of pGpG have been shown to reduce the rate of c-di-GMP degradation in cell lysates, by inhibiting the activity of EAL-dependent PDEs (e.g., PA2133, PvrR, RocR) from P. aeruginosa. The findings suggested Orn to positively affect c-di-GMP turnover as well as PDE activity in general.
Another modulator of c-di-GMP levels is cAMP. While cAMP is a positive regulator of initial attachment by P. aeruginosa, leading to elevated levels of c-di-GMP (Luo et al. 2015; Lee et al. 2018) (Figs. 3.1 and 3.2), several reports indicate that in mature biofilms, high c-di-GMP levels coincide with low levels of cAMP (Almblad et al. 2019; Almblad et al. 2015). In turn, increased levels of cAMP, caused by either a lack of degradation or increased production, inhibit P. aeruginosa biofilm formation in a manner dependent on the virulence factor regulator Vfr and coinciding with reduced c-di-GMP levels and matrix Psl production (Lee et al. 2018). A subset of c-di-GMP-degrading phosphodiesterases involved in cAMP-Vfr-mediated biofilm inhibition in P. aeruginosa has been identified as DipA, RbdA, and BifA. It is of interest to note that the PDEs have previously been linked to the transitional episodes, namely dispersion and repression of attachment (Kuchma et al. 2007; Basu Roy et al. 2012; An et al. 2010).
Exposure to terrein, a fungal metabolite isolated from Aspergillus terreus with strong cytotoxic activity against cells with colorectal carcinoma, has been reported to have a negative impact on biofilm formation. The inhibitory effect has been linked to a decrease in c-di-GMP levels, with terrain inhibiting DGC activity (rather than increasing PDE activity) to affect the c-di-GMP pool (Kim et al. 2018). In contrast to terrein, other environmental cues have been linked to elevated c-di-GMP levels. Exposure of P. aeruginosa PAO1 to hypochlorite, a phagocyte-derived host defense compound that is also frequently used as a disinfectant, has been reported to induce significantly enhanced initial cell attachment, Pel and Psl matrix production, and c-di-GMP levels (Strempel et al. 2017). The hypochlorite-induced DGC contributing to the increased c-di-GMP pool in response to hypochlorite was identified as PA3177 (Strempel et al. 2017). Interestingly, the DGC PA3177 has also been linked to the tolerance of P. aeruginosa PAO1 biofilms to tobramycin and hydrogen peroxide (Poudyal and Sauer 2018a). Lack of drug tolerance by biofilms formed by ΔPA3177 coincided with reduced abundance of the BrlR (biofilm resistance locus regulator, PA4878), a c-di-GMP responsive transcriptional regulator. BrlR contributes to the high-level antimicrobial tolerance of P. aeruginosa biofilms by activating the expression of the multidrug efflux pump operons, mexAB-oprM and mexEF-oprN, and several ABC transport systems, including PA1874-77, as well as by repressing the expression of the oprH-phoPQ operon (Liao et al. 2013; Chambers et al. 2014; Chambers and Sauer 2013; Liao and Sauer 2012; Poudyal and Sauer 2018b).
Using the inverse relationship between biofilm formation (attaching to a surface) and swarming motility, Bernier et al. (2011) assessed the impact of amino acids, at concentrations relevant to those measured in CF sputum, on c-di-GMP levels by P. aeruginosa PA14. Most of the tested amino acids promoted both in vitro biofilm formation and swarming motility. The exception was arginine, which boosted biofilm formation but completely repressed swarming motility. Further analysis indicated that growth on arginine increased the intracellular levels of c-di-GMP, and this increase was dependent on the DGCs SadC and RoeA (Bernier et al. 2011). Arginine has been reported to likewise increase c-di-GMP levels in a DGC-dependent manner in biofilms formed P. putida (Barrientos-Moreno et al. 2020).
8 Blocking c-di-GMP for Biofilm Control
Numerous efforts are underway to develop innovative and effective strategies to control biofilms, ranging from (1) changing the properties of susceptible surfaces to prevent biofilm formation; (2) regulating signaling pathways to inhibit biofilm formation; (3) applying external forces to eradicate the biofilm, to (4) degrading the biofilm matrix to induce dispersion (Yin et al. 2021; Fleming and Rumbaugh 2017; Limqueco et al. 2020; Lu and Collins 2007; Han et al. 2019; Pestrak et al. 2019). Efforts have also focused on identifying strategies or compounds capable of reducing the intracellular level of c-di-GMP. This approach, if successful, is anticipated to disable several biofilm-related phenotypes at once, by suppressing biofilm formation and/or inducing dispersion, thus maintaining cells in the planktonic, antibiotic-susceptible mode of growth.
A reduction in the c-di-GMP content in bacteria can be achieved by inhibiting precursors (e.g., via the immunosuppressive drug azathioprine (Antoniani et al. 2013)), targeting the messenger (Hee et al. 2020), inhibiting DGCs, or activating PDEs. Several studies have focused on identifying compounds that inhibit DGC activity using c-di-GMP analogs (Zhou et al. 2013; Ching et al. 2010; Fernicola et al. 2015), identifying DGC inhibitors through in silico (Fernicola et al. 2015) or in vitro screening of compound libraries (Lieberman et al. 2014; Christen et al. 2019; Zheng et al. 2016), as well as in vivo screening of compound libraries in a number of different bacterial species (Sambanthamoorthy et al. 2012; Groizeleau et al. 2016; Bernardes et al. 2017). For instance, a screen targeting DGC activity by Sambanthamoorthy et al. (2012) resulted in the identification of seven small molecules that antagonize DGCs and inhibit biofilm formation by Vibrio cholerae. Two of these compounds significantly reduced the total concentration of c-di-GMP in V. cholerae, one of which also inhibited biofilm formation by P. aeruginosa in a continuous-flow system. The latter compound was identified as DI-3. Interestingly, although DI-3 was able to significantly reduce biofilm formation in flow cell assays, DI-3 did not induce dispersion nor inhibited biofilm formation under static growth conditions. Using a high-throughput screen, Andersen et al. (2021b) identified a small molecule that stimulated the activity of a specific PDE, BifA, in P. aeruginosa, resulting in efficient depletion of c-di-GMP, inhibition of biofilm formation, and dispersion. The small molecule was identified as 4-[(2-fluorophenyl) hydrazinylidene]pyrazole-3,5-diamine (H6-335-P1). In contrast, Hee et al. (2020) made use of a rationally designed peptide to sequester c-di-GMP. The c-di-GMP-sequestering peptide (CSP) was derived from a CheY-like c-di-GMP effector protein, based on the finding that a short arginine-rich region located at the C-termini of a novel family of CheY-like (Cle) proteins in Caulobacter crescentus binds c-di-GMP with nanomolar affinity (Nesper et al. 2017). The resulting CSP peptide, when endogenously expressed, was found to sequester c-di-GMP with sub-micromolar affinity, and inhibited P. aeruginosa biofilm formation (Hee et al. 2020).
None of these compounds appear to be in clinical use as of yet. However, another compound affecting c-di-GMP levels to induce biofilm dispersion, is currently undergoing clinical trials. This compound is nitric oxide (NO) and its derivatives, so-called NO donor prodrugs, that are designed to release NO at specific sites. These include sulfathiazole, cephalosporin-3′-diazeniumdiolates, with nitric oxide being released following cleavage of its β-lactam moiety by bacterial β-lactamases (Soren et al. 2020; Barraud et al. 2012), and spermine NONOate (N-[4-[1-(3-aminopropyl)-2-hydroxy-2-nitrosohydrazino]butyl]-1,3-propanediamine, S150) that spontaneously dissociates in a pH-dependent manner (Cai and Webb 2020; Marvasi et al. 2014). Nitric oxide and NO donor prodrugs were shown to significantly reduce c-di-GMP levels by targeting PDEs, and inducing significant dispersal in vitro of biofilms formed by P. aeruginosa, E. coli and Salmonella enterica (Cai and Webb 2020; Marvasi et al. 2014). Moreover, when co-administered with tobramycin, NO and NO prodrugs improved dispersal, and nearly completely eradicated biofilms when combined with colistin (Soren et al. 2020).
9 Conclusion
The goal of this review was to provide an up-to-date account of our current understanding of pathways and mechanisms leading to the modulation of c-di-GMP over the course of biofilm formation by P. aeruginosa. While these findings added to our understanding of the complexity of the c-di-GMP signaling network, they also raised several questions. For example, recent findings indicate that surface-attached cells do not uniformly produce c-di-GMP (Armbruster et al. 2019). And why would they? After all, other than the Psl-based positive feedback response (Irie et al. 2012), attached cells have no mechanism to gauge each other's intracellular c-di-GMP levels. Homogenous c-di-GMP levels would require attached cells to activate the relevant c-di-GMP signaling pathways in a synchronized manner which in turn would require attached cells to experience identical microenvironments. Additionally, why are there so many systems that become activated upon attachment that all contribute to the pool of c-di-GMP? Why the redundancy? It is possible that each system is part of a hierarchical regulatory cascade to gradually (or hierarchically) increase the c-di-GMP levels in the cell. However, it is also likely that each system provides a set of unique factors, enabling P. aeruginosa biofilm formation to progress. Given the requirement of each system for P. aeruginosa biofilms to mature, it is likely a combination, although there is little evidence as of yet to support this notion. Recent findings also suggest that c-di-GMP levels are not uniform. For one, mature biofilms do not uniformly produce c-di-GMP but instead demonstrate areas of low c-di-GMP in response to nutrient (or oxygen) availability. Likewise, low c-di-GMP levels in mature biofilms may also be the result of continued biofilm growth which requires modulation of the biofilm matrix, or to maintain the biofilm structure by preventing excess matrix production. Low c-di-GMP levels in mature biofilms have been demonstrated to be linked to increased PDE activity, conditions that have been previously linked only with dispersion. And while dispersion has been associated with an overall reduction in c-di-GMP, it is now apparent that nutrient-induced dispersion requires DGCs to produce a sudden rise or burst of c-di-GMP to subsequently activate PDEs and reduce c-di-GMP levels. It will be interesting to know whether other dispersion cues likewise require such a burst. It is exciting to think what else is yet to be uncovered.
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This work was supported by grants from the National Institutes of Health (2R01AI080710, R01AI150761).
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Park, S., Sauer, K. (2022). Controlling Biofilm Development Through Cyclic di-GMP Signaling. In: Filloux, A., Ramos, JL. (eds) Pseudomonas aeruginosa. Advances in Experimental Medicine and Biology, vol 1386. Springer, Cham. https://doi.org/10.1007/978-3-031-08491-1_3
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