Next Article in Journal
Homocysteine in Neurology: A Possible Contributing Factor to Small Vessel Disease
Next Article in Special Issue
Differential Cytotoxicity Mechanisms of Copper Complexed with Disulfiram in Oral Cancer Cells
Previous Article in Journal
Sirtuin 1 and Sirtuin 3 in Granulosa Cell Tumors
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Advances in Understanding of the Copper Homeostasis in Pseudomonas aeruginosa

Institute of Nanotechnology and Advanced Materials & Department of Chemistry, Faculty of Exact Sciences, Bar-Ilan University, Ramat-Gan 5290002, Israel
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2021, 22(4), 2050; https://doi.org/10.3390/ijms22042050
Submission received: 24 January 2021 / Revised: 10 February 2021 / Accepted: 15 February 2021 / Published: 19 February 2021

Abstract

:
Thirty-five thousand people die as a result of more than 2.8 million antibiotic-resistant infections in the United States of America per year. Pseudomonas aeruginosa (P. aeruginosa) is classified a serious threat, the second-highest threat category of the U.S. Department of Health and Human Services. Among others, the World Health Organization (WHO) encourages the discovery and development of novel antibiotic classes with new targets and mechanisms of action without cross-resistance to existing classes. To find potential new target sites in pathogenic bacteria, such as P. aeruginosa, it is inevitable to fully understand the molecular mechanism of homeostasis, metabolism, regulation, growth, and resistances thereof. P. aeruginosa maintains a sophisticated copper defense cascade comprising three stages, resembling those of public safety organizations. These stages include copper scavenging, first responder, and second responder. Similar mechanisms are found in numerous pathogens. Here we compare the copper-dependent transcription regulators cueR and copRS of Escherichia coli (E. coli) and P. aeruginosa. Further, phylogenetic analysis and structural modelling of mexPQ-opmE reveal that this efflux pump is unlikely to be involved in the copper export of P. aeruginosa. Altogether, we present current understandings of the copper homeostasis in P. aeruginosa and potential new target sites for antimicrobial agents or a combinatorial drug regimen in the fight against multidrug resistant pathogens.

1. Introduction

P. aeruginosa Origin, Occurrence, Risks, and Pathogenesis

Pseudomonas aeruginosa is a term created by the German botanist Walter Migula in 1894. Pseudomonas is a combination of the Greek words pseudo and monas, meaning “false” and “single unit,” respectively. This name was mistakenly derived from the resemblance to other bacteria discovered at this time. Aeruginosa from Latin means “copper rust or green,” given because of the greenish-blue color of the colonies [1]. P. aeruginosa colonizes plants, including vegetables or fruits, fungi, water, and soil. These strains are identical to the ones found in hospitals and patients [2,3]. Moreover, it has been shown that P. aeruginosa strains derived from hospitals are susceptible to competition by environmental pseudomonads [4]. This competition between hospital and environmental strains may indicate different defense mechanisms among pseudomonad strains. This difference is also observed in the relative sequence abundance of samples taken from different habitats that range from 0.1% in water or feces to 4.7% in animals [3]. This indicates a higher sequence abundance and diversity in animal than in environmental samples. In addition, the highest occurrence of P. aeruginosa has been found in sewage samples with 90% positive samples, followed by human feces with 11% positive samples [5].
A recent study revealed that the occurrence of P. aeruginosa is about seven times higher in a hydrocarbon- and pesticide-contaminated environment than in a noncontaminated environment [3]. In addition, samples derived from animals or humans or environmental samples associated with intense human activity showed increased P. aeruginosa contamination compared with environmental samples without human influence [3]. Close proximity between P. aeruginosa and human habitat may originate from the bacteria’s ability to metabolize oils, waste, and pesticide and their inherent resistance to heavy metals [6,7,8,9]. Such an environment is generally hostile to other bacteria and thus may provide a niche for P. aeruginosa. Overlapping of the two habitats provides an explanation for the increased infection risk and pathogenicity of P. aeruginosa. Further, the shared habitat of humans and P. aeruginosa imposes a constant selection and therefore contributes to the negative spiral of the multidrug resistance of this pathogen.
The risk of infection with P. aeruginosa is highest in patients with a compromised immune system or a chronic lung disease, patients on breathing machines or catheters, and those with infection of wounds from surgery and burns [10]. A risk factor assessment of P. aeruginosa bacteremia revealed the following conditions that facilitate an infection. Male intensive care patients who were previously or currently treated with antibiotics and had a urinary tract catheter or any postinstrumentation are at elevated risk of infection with P. aeruginosa [11]. In addition, a study investigating the risk factors for P. aeruginosa community-acquired pneumonia determined five risk factors associated with an infection [12]. These risk factors are previous infection with P. aeruginosa, tracheostomy, bronchiectasis, intensive respiratory or vasopressor support (IRVS), and very severe chronic obstructive pulmonary disease (COPD) [12]. A research performed in a hospital concluded that the risk factors for an infection depend on the contamination of sanitary facilities (including water), mechanical invasive ventilation, and inactive antibiotic prescription during the patient’s hospitalization [13,14]. Another study carried out in a hospital setting confirmed the previously mentioned risk factors (e.g., mechanical invasive ventilation, COPD, contamination of sanitary facilities (including water), and previous hospitalization) [15]. Moreover, it was revealed that older patients are at higher risk of infection [16]. In conclusion, the primary literature is in strong agreement regarding risk factors leading to infections with P. aeruginosa. These factors are IRVS, previous hospitalization, contamination of sanitary facilities (including water), and treatment with inactive antibiotics. Out of these four common risk factors, only two have the potential for improvement. The two factors that can be improved are prescription of inactive antibiotics and hygiene of sanitary facilities (including water). These two possibilities are also in agreement with the recommendations of the WHO [17].
“The virulence of a microorganism is defined by its ability to associate itself with a prospective host, to invade and multiply within that host, to produce local and/or systemic disease, and ultimately to overwhelm and even kill the host.” These dramatic words were used by Matthew Pollack to describe the virulence of P. aeruginosa in relation to the human host in 1984 [18]. According to this definition, the pathogenesis of P. aeruginosa is described with three steps. Step 1: bacterial attachment and colonization; step 2: local invasion; and step 3: disseminated systemic disease that may stop at any stage [18]. Tremendous efforts improved the understanding of host–pathogen interaction and slightly changed the second part or third step of the definition. The bacteria are multiplying within a host, but their “goal” is not to cause a disease or kill the host [19]. Therefore, the systemic disease is not a “goal” of the bacteria; rather, it is simply a result of numerous virulence factors maintained by P. aeruginosa combined with a compromised host immune system [20,21]. In general, virulence factors facilitate host invasion, evade host defenses, and thus cause a disease [19]. In P. aeruginosa, these virulence factors include adherence factors, invasion factors, endotoxins, exotoxins, and siderophores [22,23,24]. Out of these virulence factors, quorum sensing (QS), lipopolysaccharide (LPS), and type III secretion system (T3SS) have been determined as especially crucial in the pathogenicity of P. aeruginosa [21,25].
QS is described as cell–cell communication between bacteria to fulfill tasks as a colony by a coordinated response to environmental stimuli [25,26]. The underlying molecular mechanism of QS comprises three main pathways in P. aeruginosa [26]. These three pathways—las, rhl, and pqs—constitute a network that allows for cross-talk and thus results in fine-tuning of the response that is tailored to the environmental stimuli [22,27,28,29,30,31]. Apparently, the number of pathways constituting QS in P. aeruginosa have been heavily debated that peaked in a short comment clarifying that, indeed, QS is composed of three pathways in P. aeruginosa [30]. Understanding the detailed mechanisms and pathways of QS might provide potent target sites for antimicrobial agents against the pathogen. These targets are of tremendous interest because of their crucial role in cell–cell communication and the pathogenicity of P. aeruginosa [21,32,33]. A screening of 12 active antibiotics revealed that, indeed, three of them (azithromycin, ceftazidime, and ciprofloxacin) decrease the expression of QS-regulated virulence factors [34]. The reason for this decrease might be found in changes of the membrane permeability for certain QS factors [34]. Moreover, a structure-based virtual screening approach against the QS receptor lasR has resulted in five active compounds capable of inhibiting QS-regulated gene expression in P. aeruginosa [35]. Using such compounds in combination with classic antibiotics is a promising strategy to overcome the notoriously resistant pathogen P. aeruginosa [36]. Therefore, using signaling molecules of QS or a derivate thereof as Trojan horse to overcome multidrug resistant P. aeruginosa provides a powerful strategy in the fight against pathogenic bacteria.
LPSs are the most abundant surface-associated virulence factors composed of three domains: lipid A, core oligosaccharide, and distal O antigen [37,38,39]. These LPSs carry out a variety of functions in P. aeruginosa, ranging from a structural component of the outer membrane to a permeability barrier against small hydrophobic molecules and mediating bacterial–host interactions [38,40,41,42,43]. An immune response is triggered upon exposure of antigens to the host immune cells. In humans, LPSs are transported to immune cells via LPS-binding proteins. These LPSs are then transferred to CD14 located in the host immune cell membrane, where the LPSs are presented to toll-like receptor 4, eventually triggering an immune response [44]. In addition, exopolysaccharides, such as Psl, Pel, and extracellular DNA, are abundant components of the biofilm in P. aeruginosa [45,46]. These components adhere to each other and play an essential role in the highly complex biofilm formation, which is beneficial for growth and antibiotic tolerance [47,48,49]. P. aeruginosa expresses the soluble lectins lecA and lecB, both surface proteins capable of binding the exopolysaccharides [50]. These binding molecules have been both successfully targeted by glycopeptide dendrimers and monosaccharides, disrupting the biofilm formation [50,51,52,53,54]. Interestingly, it has been shown that the application of LPSs from P. aeruginosa stabilizes and increases the biofilm formation of other Enterobacteriaceae [55]. In conclusion, LPSs contribute to the defense and communication system, while exopolysaccharides contribute to the biofilm formation. Hence, both play a major role in the high virulence of P. aeruginosa.
T3SS is an injection apparatus used by P. aeruginosa to infuse effector proteins into host cells [56,57,58]. The large number of genes (about 36) involved in regulating and encoding for T3SS demonstrates the importance and effort carried out by P. aeruginosa to maintain this virulence factor [58]. Expression of these genes is regulated by various complex signaling pathways responding to extracellular and intracellular cues [59]. These signaling pathways are activated upon host cell contact, which ultimately leads to expression of T3SS and effectors [57,59]. The expressed macromolecular complex T3SS comprises four entities: a basal body residing in the cell membrane, an export apparatus providing energy and substrates, a needle filament, and a translocation pore formed within the host cell membrane [56]. Once this secretion system is activated by host cell interaction, only four effectors (ExoS, ExoT, ExoU, and ExoY) are transferred through the newly assembled pore. This is particularly interesting because T3SS of other pathogens transfer up to 25 effector proteins [58]. Thus, it is also true for the pathogenicity of bacteria that it is not always the quantity but the quality that makes the difference. Nevertheless, these four effectors potentially lead to collateral tissue damage, superinfection, bacteremia, and septic shock and reduce the oxygenation in infected lung tissue [58]. Given the severe effects of this virulence factor, recent advances in the discovery of new antimicrobials have targeted T3SS. These efforts have led to remarkable 12 new classes of small-molecule inhibitors and two types of antibodies against the T3SS of P. aeruginosa [60,61]. These promising results encourage us to further investigate the virulence factors and their mechanisms in P. aeruginosa to ultimately discover new and more potent antimicrobials for the fight against multidrug resistant pathogens.
Besides its harmful virulence factors, P. aeruginosa is a multidrug resistant pathogen capable of acquiring genes encoding resistance determinants in addition to its already highly developed intrinsic antibiotic resistance [62,63,64]. Detected resistances of antibiotic classes in P. aeruginosa include β-lactams, fluoroquinolones, and aminoglycosides [65]. These resistances are achieved by expression of different types of β-lactamases and aminoglycoside-modifying enzymes; loss of oprD, an outer membrane porin; mutations in gyrA, a topoisomerase; and overexpression of various multidrug efflux pumps [62,65]. The versatile resistance mechanisms of P. aeruginosa cause tremendous challenges to the therapy of infected patients. These include the intrinsic resistance and, in particular, the ability to acquire resistance during antimicrobial treatment [66]. Thus, serious infections are usually treated with a strain-specific combination of antibiotic classes (e.g., β-lactam and aminoglycoside) that results in a synergistic effect [66]. Unfortunately, emerging resistance even against last-resort antibiotics requires novel antimicrobials and targets to successfully combat multidrug resistant P. aeruginosa. Consequently, the development of β-lactamase inhibitors is one promising approach to overcome the widespread β-lactam resistance [67,68]. Structural studies of penicillin-binding protein 3 have revealed spatial rearrangements of secondary motifs upon inhibitor binding, thus providing novel insights to improve existing β-lactamase inhibitors [69]. Another approach takes advantage of P. aeruginosa’s own virulence factor. In that respect, a γ-lactam was conjugated to a siderophore moiety, taking advantage of the intrinsic siderophore uptake mechanism of P. aeruginosa [70]. These creative and effective strategies in combating emerging broad-spectrum resistance demonstrate that only continuing research and effort lead to novel antimicrobials eventually overcoming the multidrug resistance of P. aeruginosa.
In conclusion, P. aeruginosa is a skilled survivor in a moist environment that is adverse to many other bacteria, thus cultivating its own niche. Because this niche is tightly connected to and influenced by humans, chances of infections are exceptionally high. Factors that increase the risks of infection are purity of water and sanitary installations, a weakened immune system, previous hospitalization with IRVS, and misuse of antimicrobials. Once a host is infected, P. aeruginosa maintains several highly regulated virulence factors, such as QS, LPS, and T3SS, contributing to the severe pathogenesis, eventually leading to the outbreak of a disease or worse. During this pathogenesis, P. aeruginosa is protected by its intrinsic resistance, adaptive resistance, and ability to acquire additional resistance determinants. Given the high infectivity and strong protection, it is of utmost importance to understand the entire homeostasis and pathways found in P. aeruginosa. This understanding might reveal a weak spot to successfully target the multidrug resistant pathogen. The succeeding paragraphs focus on recent advances in the understanding of copper homeostasis in P. aeruginosa. Further, we emphasize the use of heavy metals as antimicrobial agents also in combination with other drugs and antibiotics to overcome the emerging broad-spectrum resistance of P. aeruginosa.

2. Copper Import

Copper is an essential nutrient; concurrently, high copper concentrations are deleterious to the bacteria [71]. Therefore, P. aeruginosa develops and maintains a complex copper homeostasis to preserve the thin line between essential copper concentrations and excess of copper (Figure 1). It is a topic of current research to verify and understand the detailed mechanisms responsible for copper uptake in bacteria [72]. To date, there is a common understanding that porins, such as oprC, are responsible for the majority of copper detected in bacteria [72,73,74]. Very recent advances suggest that the TonB-dependent transporter oprC can bind to Cu(I) and mediate the import and oxidation to Cu(II) (6). Still, the transfer from the periplasm to the cytoplasm remains enigmatic. Only sparse data are available about the inner membrane transport. It has been suggested that copABCD is responsible for elevated copper concentrations found in Pseudomonas syringae [75]. CcoA is another copper import protein and belongs to the major facilitator superfamily (MFS) transporter in Rhodobacter capsulatus [76]. These MFS transporters are known to transport various substrate classes across the membrane [77,78,79]. Unfortunately, we were not able to find a ccoA homolog protein sequence or a homolog nucleotide sequence with more than 50% identity in P. aeruginosa. Absence of a close homolog indicates a lack of a dedicated ccoA copper import protein in P. aeruginosa. Aside from porins, it is reported that the siderophores pyoverdine (PVD) and pyochelin (PCH) chelate copper [80,81]. However, experimental evidence has shown that solely iron is efficiently transported into the bacteria via the two siderophores [82]. Still, these findings do not exclude the import of copper by siderophores and indicate a dependence on copper concentration for the import facilitated by siderophores [83,84]. Altogether, oprC has been shown to facilitate copper import into P. aeruginosa [6,73]. Aside from these porins, copABCD and siderophores might contribute to the copper import, albeit in a concentration-dependent manner. Additional research is urgently required to fully understand the import mechanisms and the interplay between these proteins to maintain the essential copper concentration in P. aeruginosa.

3. Copper Defense Mechanisms in P. aeruginosa

Human pathogens develop numerous defense strategies and resistance mechanisms against the deleterious effects of high copper concentrations. Here, we focus on the proteins involved in the copper defense strategies of P. aeruginosa and compare these with the ones in E. coli. Known proteins involved in copper metal homeostasis in P. aeruginosa and E. coli are depicted in Figure 1 and listed in Table 1 [85]. Homologous proteins found in P. aeruginosa are listed in the first lane. Proteins are grouped according to transcription factor (TF), metallothionein (MT), cytoplasmic copper chaperone (CYTO-C), copper-sensing two-component systems (2CS), P-type copper ATPase (P-type), resistance-nodulation-division-type transmembrane efflux pump (RND), periplasmic copper chaperone (Peri C), multicopper oxidase (MCO), and siderophores (Sidero) (Table 1), according to Alex G. Dalecki et al. [85]. Major differences of proteins involved in copper homeostasis between the two species have been found in MT, CYTO-C, RND, and Sidero. E. coli lacks MT, and it does not express any cytoplasmic copper chaperones. However, it contains a dedicated cusCBA system for copper export. Moreover, the types of siderophores involved in copper homeostasis are reduced compared with P. aeruginosa (Table 1).
Table 1. Proteins involved in copper homeostasis in P. aeruginosa and E. coli. A reference indicates experimental evidence of copper homeostasis. * indicates a potential role in copper homeostasis based on the homology alignment or structural prediction of proteins found in other pseudomonad strains and bacteria. TF: transcription factor; MT: metallothionein; CYTO-C: cytoplasmic copper chaperone; 2CS: copper-sensing two-component systems; P-type: P-type copper ATPase; RND: resistance-nodulation-division-type transmembrane efflux pump; Peri C: periplasmic copper chaperone; MCO: multicopper oxidase; Sidero: siderophores; N/A: not applicable. Table adapted from [85].
Table 1. Proteins involved in copper homeostasis in P. aeruginosa and E. coli. A reference indicates experimental evidence of copper homeostasis. * indicates a potential role in copper homeostasis based on the homology alignment or structural prediction of proteins found in other pseudomonad strains and bacteria. TF: transcription factor; MT: metallothionein; CYTO-C: cytoplasmic copper chaperone; 2CS: copper-sensing two-component systems; P-type: P-type copper ATPase; RND: resistance-nodulation-division-type transmembrane efflux pump; Peri C: periplasmic copper chaperone; MCO: multicopper oxidase; Sidero: siderophores; N/A: not applicable. Table adapted from [85].
TFMTCYTO-C2CSP-TypeRNDPeri CMCOSideroOthers
P. aeruginosacueR [86]MT * [87]copZ1
copZ2 [86,88]
copRS [89]copA1
copA2 [90]
czcCBA *ptrA [91]
azurin [92]
pcoA [93]PVD
PCH
[82,83,84]
pcoB * [94]
E. colicueR [95]N/AN/ApcoRS [96]
cusRS [97]
copA [93]cusCFBA [98]pcoE [99]
pcoC [100]
cusF [98]
pcoA [101]
cueO [102]
Ybt [103]cut [95]
pcoB [104]
pcoD [104]
porins
Once copper ions reach the cytoplasm or periplasm of P. aeruginosa, the copper defense cascade is triggered (Figure 1 and Table 1). This defense strategy can be divided into three stages: (1) scavenging, (2) first responder, and (3) second responder.
First, copper is scavenged by copZ1 (PA3520) and copZ2 (PA3574.1), followed by the activation of the first responder copper efflux regulator (cueR, PA4778) in the cytoplasm [105]. Copper scavenging is carried out by the two copper chaperones copZ1 and copZ2 (Figure 1) [105]. The two copper-binding proteins show K D =   4   ·   10 15 and K D =   8   ·   10 17 , respectively. Supposedly, copZ1 transports Cu(I) to the first responder cueR, and copZ2 transfers Cu(I) to copA1 [105]. CopA1 (PA3920) and copA2 (PA1549) are both copper transport ATPases known to transfer copper from the cytoplasm to the periplasm [106]. Based on homology search, there is a third Zn transport ATPase with the locus tag PA3690 (see Figure 1) [88]. Whether this Zn P-type ATPase contributes to the copper export remains to be answered. Even though PA3690 knockout mutants show no sensitivity to copper exposure, the expression profiles during copper shock treatment indicate a regulation by the first responder cueR [88,107]. Whether the transcription of copA2 and the third Zn ATPase are also regulated by cueR or through other transcription factors is a topic of current research.
Second, cueR is the first responder and a cytoplasmic transcription factor that belongs to the family of mercury resistance operon regulatory protein (merR) transcription factors [108,109,110,111]. Both organisms P. aeruginosa and E. coli own a cueR transcription factor that is readily activated by miniscule copper concentrations [109]. It has been shown that cueR in E. coli has an exceptionally high Cu(I) affinity of K D   =   10 21   M   to   3.25   ·   10 19   M [112,113]. Interestingly, the KD of P. aeruginosa cueR is about five to three orders of magnitude higher, K D   =   2.5   ·   10 16   M , and thus displays lower copper affinity than cueR from E. coli [105]. It has been demonstrated that the interaction between holo-copZ1 and cueR facilitates its activation, whereas copZ2 accelerates copper sequestration to the periplasm through copA1 (PA3920) (Figure 1) [104]. The activation of cueR upon the binding of Cu(I) increases the transcription of the following proteins: copZ1/2, mexPQ-opmE (PA3521-3523), copA1 (PA3920), and PA3515-3519 (Table 2) [86,88,107]. These genes display a fast increase in transcription within an hour upon copper treatment (copper shock), thus the term first responder. Aside from the above-mentioned proteins, it has recently been reported that azurin (PA4922), oprC (PA3790), and the type VI secretion system (H2-T6SS) (PA1656–PA1659) might be regulated by cueR [114]. Unfortunately, these results have not been confirmed with either proteomic profiling or transcription analysis after copper treatment [107,115,116]. Interestingly, aside from the hypothetical proteins (Table 2), mexPQ-opmE is not directly involved in copper homeostasis. Overexpression experiments with mexPQ-opmE in P. aeruginosa have shown increased resistance to macrolides, fluoroquinolones, and other drugs [117]. MexPQ-opmE belongs to the family of resistance-nodulation-cell-division (RND)-type multidrug efflux pumps, and its transcription is regulated by cueR [86]. Thus providing a link between heavy metal homeostasis and multidrug resistance [117]. This link between heavy metal homeostasis and multidrug efflux pump is of great evolutionary advantage. Since Cu(I) is mainly found in an environment with human influence, it is very likely that antibiotics occur in conjunction with elevated environmental Cu(I) concentrations [3,118]. Therefore, the transcription regulation of mexPQ-opmE by cueR may provide an evolutionary advantage in habitats shared with humans.
Third, copRS (PA2809/PA2810) is the second responder, in case copper concentrations remain elevated within the periplasm (copper adapted). CopS exhibits a high affinity for Cu(I) and Cu(II) with a dissociation constant of K D   =   3   ·   10 14   M [119]. The two-component regulatory system is activated to increase the transcription of genes involved in copper sequestration and oxidation to ultimately reduce Cu(I) concentrations within the cell (Figure 1) [89]. Genes regulated by copRS are listed in Table 2. Transcription profiles of these genes after copper shock have displayed a delayed and prolonged increase even six hours after copper treatment [88,107]. Therefore, the term second responder indicates copper-induced transcription regulation over an extended period of time by copRS (copper adapted). There is controversial literature on how copR is regulated by copS. The prototypical mechanism indicates that upon copper binding, copS is autophosphorylated. This phosphorylation is subsequently transferred to copR, which allows binding and transcription of specific DNA regulons [120,121]. A recent activation mechanism proposed a persisting phosphorylated copR, which is dephosphorylated by apo-copS [119]. Quantitative levels of copRS phosphorylation, phosphorylation transfer, and whether there is a cross-talk between copRS and czcRS remain to be answered. A potential cross-talk between the two systems would explain why copR or czcR is active even in the absence of copS or czcS, respectively [122].
Table 2. Copper-dependent transcription regulators cueR and copRS, including regulated genes with locus tag and protein name where available. * indirect upregulation of czcCBA through overexpression of czcR [123].
Table 2. Copper-dependent transcription regulators cueR and copRS, including regulated genes with locus tag and protein name where available. * indirect upregulation of czcCBA through overexpression of czcR [123].
Transcription RegulatorLocus TagRegulated ProteinsReference
cueR
(first responder)
PA4778
PA3515–PA3519Five hypothetical proteins potentially involved in glycolysis and fatty acid metabolism[86,88]
PA3520copZ1[86,105]
PA3521–PA3523mexPQ-opmE[86,88,117]
PA3574.1copZ2[86,88,123]
PA3920copA1[86,105]
copRS
(second responder)
PA2809/PA2810
PA2065pcoA[88,107]
PA2064pcoB[88,107]
* PA2520–PA2522czcCBA (in conjunction with cadA activity)[88,122,124,125]
PA2523czcR[88,122,126]
PA2524czcS[88,122,126]
PA2806Hypothetical protein: potentially a NADPH-dependent reductase[107]
PA2807Hypothetical protein: azurin/plastocyanin family[88,107]
PA2808ptrA[88,91]
PA0958oprD (downregulation with cofactor: Hfq)[88,127]
PcoA (PA2065) and pcoB (PA2064) are both outer transmembrane-spanning proteins responsible for reducing copper concentrations in the periplasm by excretion and oxidation, respectively (Figure 1) [72,128]. It is thought that these two membrane proteins are in close interaction and might orchestrate the export and redox reaction of copper [128,129,130]. These findings are based on close homologs observed in E. coli; moreover, the overlapping start codon of pcoB downstream of pcoA indicates a simultaneous transcription of these genes as found in P. syringae [101,131]. Furthermore, homology search indicates that pcoA catalyzes the oxidation of Fe(II) to Fe(III), comparable to the oxidoreductase Fet3p found in Saccharomyces cerevisiae [93,101]. Additionally, knockout studies have demonstrated that pcoA is required for iron uptake in P. aeruginosa and is indeed a ferroxidase [132]. However, how the two proteins pcoA and pcoB interact with each other, including the detailed mechanisms of the copper redox reaction, remains elusive.
CzcCBA (PA2520–PA2522) belongs to the family of heavy metal efflux (HME) RND pumps and is known to facilitate the export of Co(II), Zn(II), and Cd(II) (czc) [125]. Figure 2A shows a schematic representation of an RND pump consisting of three components: outer membrane factor (OMF) (Figure 2C), membrane fusion protein (MFP) (Figure 2D), and cytoplasmic membrane transporter (CMT) (Figure 2B). Further, a phylogenetic analysis was performed on RND sequences for each of the RND components. The RND components were selected from known RND efflux pumps listed by Philip D. Lister et al. [65]. In addition, czcCBA was included to verify the distance to RND efflux pumps with known substrates. It becomes apparent that mexPQ-opmE (PA3521–PA3523) is unlikely to be responsible for copper efflux as proposed elsewhere [107]. A comparison of the distances between E. coli cusCFBA and RND components of P. aeruginosa does not indicate a close relation between mexPQ-opmE and cusCFBA (Figure 2). In other words, the phylogenetic analysis indicates a closer relationship between czcCBA of P. aeruginosa and cusCBA of E. coli than mexPQ-opmE, even though mexPQ-opmE is regulated by the copper-sensitive first responder cueR [117]. Based on the phylogenetic analysis, it is possible that czcCBA also participates in the export of copper (Figure 2). Given that czcCBA transcription is indirectly regulated by the copper-sensitive second responder copRS, including the activity of cadA, it is likely that czcCBA contributes marginally to copper export [122,124]. Moreover, the deletion of czcA in P. aeruginosa has shown an increase in zinc sensitivity but no change in copper sensitivity, thus confirming only a marginal role in the copper homeostasis of P. aeruginosa [88]. Whether P. aeruginosa maintains a dedicated RND efflux pump for copper export or whether czcCBA facilitates copper export in a negligible amount along with the other mechanisms described above is a topic of ongoing research.
CzcRS (PA2523 and PA2524) is a two-component system, and its transcription is upregulated mainly upon elevated zinc concentrations, but also by copRS and copper exposure [122,126]. Most importantly, czcRS downregulates the expression of the oprD porin (PA0958) in the presence of cofactor Hfq [127]. This downregulation results in carbapenem resistance because of reduced antibiotic import [126]. Thus, there is an indirect link between copper and carbapenem resistance through the activation of copRS and czcRS and the subsequent reduced expression of oprD [122,126]. Obviously, the cross-talk between the two heavy metal regulation systems czcRS and copRS increases the complexity of copper and zinc resistance mechanisms in bacteria. Thus, only a comprehensive view that includes both systems will provide sufficient understanding of how P. aeruginosa regulates the delicate levels of copper and other heavy metals. A recent proteomic analysis of copper stress in P. aeruginosa was not able to support this indirect link between copper stress and reduced oprD expression [115]. Hence, raising the fundamental question of reliability and coherence between transcriptome analyses and proteome profiling in general [116].
PtrA (PA2808) is a copper-binding protein located in the periplasm, therefore contributes to the copper scavenging and copper tolerance of P. aeruginosa, such as azurin [91,92]. However, it is claimed that ptrA also has an impact on the transcription regulation of T3SS [135]. This controversial finding provides the basis for the disputable name Pseudomonas type III repressor A (PtrA). For this reason, further research is urgently required to precisely clarify the protein’s function and adjust the nomenclature.
Altogether, the copper defensive strategy in P. aeruginosa can be divided into three stages: scavenging, first responder, and second responder. Scavenging of free copper within the cytoplasm is facilitated by the copper chaperones copZ1 and copZ2, which leads to subsequent activation of the first responder cueR [105,110]. Additionally, prolonged elevated copper concentrations within the periplasm lead to activation of the second responder, copRS [119,136]. Both copper-binding transcription regulators facilitate activation or repression of the gene transcription listed in Table 2. These proteins enable copper export, copper oxidation, contribute to antibiotic resistance, and therefore, lower the elevated and deleterious Cu(I) levels within the cell and grant survival in a toxic niche (Table 1, Figure 1).

4. Structural Insights into Proteins Involved in Copper Homeostasis

CueR belongs to the merR transcription regulator family and is the first responder in case of excess copper. Phylogenetic analysis of merR in pathogenic bacteria highlights versatility, importance, and prominence of this merR transcription regulator throughout pathogen species (Figure 3B). Strikingly, cueR of P. aeruginosa is capable of binding five different DNA sequences, whereas in E. coli, cueR is limited to only two DNA binding sequences [86]. Lately, substantial progress in understanding the dynamics of E. coli cueR was achieved by EPR and cryo-EM [109,110,111,137]. These techniques allow measurement of the transcription activation mechanism induced upon Cu(I) binding of cueR. It has been demonstrated that cueR in E. coli induces a kink within the DNA at the −35 element, allowing the transcription factors σ2, σ4, and RNA polymerase to bind at the opposite site of the DNA [109,111]. These findings confirm the observations that the transition and dynamics of cueR from a repressed to an active state are independent of the presence of transcription factors or RNA polymerase [110]. Only with protein crystallography and EPR it was possible to describe the apo or repressed state of E. coli cueR [109,138]. Structural comparisons of different bound metal ions have revealed that there are only minor differences between the structures (e.g., RMSD = 0.2 Å) [112]. Further, it was shown with EPR that binding DNA reduces the distance between the binding sites for about 1 Å (Figure 3A) [109]. However, the largest change between the two DNA-binding domains in cueR occurs upon binding of the metal ion. EPR data indicate a reduction of about 17 Å upon Cu(I) binding, whereas X-ray crystallography only shows a change of about 11 Å between the two DNA binding sites (Figure 3A) [109,138]. The latest cryo-EM structure reveals a change of 14 Å between repressed and active state [111]. The difference of the distances is calculated between the amino acid residue glycine 11 of the repressed apo-cueR (PDB-ID: 4wls) and the corresponding active state (PDB-ID: 4wlw, 6ldi). A difference of 3 Å between EPR measurement and the structural data derived from X-ray crystallography and cryo-EM indicates a further change upon RNA polymerase or transcription factor binding. The interaction between the RNA polymerase sigma factor (rpoD) and the DNA on the opposite site of cueR might provide an explanation for the difference between the active states of cueR. Hence, the binding of rpoD to the DNA might provide a slight relaxation of the DNA kink induced by cueR. Despite remarkable progress in the past years, more questions were raised to fully understand the transcription activation induced by cueR and RNA polymerase, particularly the role of the different DNA binding sequences found in P. aeruginosa, remain unanswered.
CusCFBA belongs to the RND superfamily. It is widely accepted that this protein family comprises the most potent efflux machineries found in bacteria [129,130]. Consequently, this superfamily contributes immensely to antibiotic resistance found in Gram-negative bacteria [139,140]. In E. coli, cusCFBA is responsible for the heavy metal efflux of Cu(I) and Ag(I) ions [88,131]. So far, no experimental evidence was provided that the same system is found in P. aeruginosa. Phylogenetic analysis carried out in the section above indicates that there is no close homolog of cusCFBA in P. aeruginosa except czcCBA. However, the deletion of czcA in P. aeruginosa displays no change in copper sensitivity, indicating that czcCBA has no or only a marginal role in the copper homeostasis of P. aeruginosa [97]. Because transcription of mexPQ-opmE (PA3521–PA3523) is tightly regulated by cueR, it has been proposed that this RND pump is a cusCBA homolog responsible for the copper efflux in P. aeruginosa [98]. Here, we predicted two models of the CMT mexQ and performed structural analysis to verify the presence of crucial methionine residues in cusA required for heavy metal transport of this type of RND efflux pump (Figure 4) [88]. Further, other RND heavy metal pumps facilitate the ion efflux by charged residues instead of methionine residues. Therefore, these charged residues were considered while assessing the role of mexPQ-opmE in heavy metal export. Unfortunately, we were not able to locate either the methionine residues or the charged residues required for Cu(I) binding in the binding site of the mexQ models (Figure 4A). Hence, it is very unlikely that mexPQ-opmE acts as a copper efflux pump in P. aeruginosa, based on the model prediction of mexQ (Figure 4B,C). Recently, it was published that the cusCFBA system is lost and replaced by cueP and scsABCD genes containing thiol oxidoreductases and putative cuproproteins in the pathogen Salmonella [141], indicating that the cusCBA system is the outdated copper efflux system that is exchanged by cueP and scsABCD through evolution. Taken together, phylogenetic analysis has indicated that there is no close relationship between mexPQ-opmE and cusCBA (Figure 2). Further, models of mexQ based on cusA or multidrug efflux pumps did not provide a methionine-rich copper binding site, nor were charged residues present to complex Cu(I) (Figure 4A–C). Finally, there is literature demonstrating that mexPQ-opmE is indeed a multidrug efflux pump [117]. Therefore, it is highly unlikely that mexPQ-opmE is involved in copper or any other heavy metal export.

5. Copper as Antimicrobial

The effect of antimicrobial metals has been used for millennia, dating back as far as 2400 BC, where Egyptian surgical tools were made out of copper [144]. During the same time, copper was also used to sterilize water and wounds in ancient Egypt [145]. Later on, in the 18th century, copper found intensive application in agriculture and clinical use due to its antifungal and antimicrobial properties [145,146]. The pinnacle of copper as antimicrobial alloy was the approval by the U.S. Environmental Protection Agency (EPA). That acknowledged that copper, brass, and bronze are capable of killing 99.9% of Gram-negative and Gram-positive bacteria. Therefore, copper is the first solid surface material receiving an EPA registration back in 2008 [145]. Another remarkable effect of copper is its antiviral property. This discovery dates back to 1964, where Cu(II) was shown to inactivate bacteriophages [147]. Since then, many more types of viruses have revealed their susceptibility to copper (e.g., single- or double-stranded DNA or RNA enveloped or nonenveloped viruses), one of which being HIV [145,148]. Additionally, copper used in hospital settings has shown that bed rails made out of copper reduce the bacterial burden and healthcare-acquired infections because of its continuous antimicrobial activity [149,150]. Moreover, linen with copper fabrics or impregnated with copper oxide has shown efficient reduction of healthcare-associated infections [151,152]. The antimicrobial, antifungal, and antiviral activity or, in short, the biocidal activity of copper is based on two mechanisms [153]. These two mechanisms are membrane damage and oxidative stress, which eventually results in the destruction of genetic material [153,154,155]. The ability of copper to damage both DNA and RNA through the formation of reactive oxygen species also explains its antiviral activity [146,156]. The history of copper throughout the ages emphasizes the paramount advantages of the long-lasting use of copper and its alloys as antimicrobial agents. The nearly endless biomedical potential of copper renders this metal a superior material for use in heavily frequented public places, such as hospitals, schools, airports, train stations, and public transportation.

6. Copper and Antibiotics—The Power Couple

Copper has been used as antimicrobial by mankind for millennia. Surprisingly, the use of copper as part of the defense strategy against an invading species dates even further back in time. Recently, it was revealed that cells of the innate immune system take advantage of the antimicrobial effects of copper [157,158]. It is possible to show that macrophages and other cells increase the ATP7A-mediated copper trafficking into phagolysosomes with engulfed bacteria by the overexpression of the ATP7A P-type ATPase [159,160]. Lasting and specific use of copper by immune cells demonstrates that copper provides a persistent evolutionary advantage in the fight against multidrug resistant pathogens. Thus, using copper or other heavy metals in a combinatorial drug treatment might enhance the efficacy and potency of current and future antibiotic treatments. In the following, we list known drugs that were used in conjunction with copper to combat bacteria based on R. Poole et al. [85]. Table 3 lists drug names or antibiotic types, including the mode of action of the cooperative effect between copper and drug (copperaction).
In general, it was noted that all compounds listed in Table 3 form a complex with copper. Hence, the listed drugs in Table 3 are capable of delivering copper into the pathogen cell as copper ionophore. The delivery of both the drug and copper will stress bacteria in two ways. First, it will increase the amount of reactive oxygen species within the cell. Second, the antibiotic or drug will challenge the bacteria through the antibiotic’s specific mode of action. The copperaction of ditiocarb has been heavily debated and assigned to the copper toxicity derived from macrophages [85]. Here we disagree with this explanation and propose that ditiocarb might interact with csoR or ricR and bind to the cysteine residues found at the metal binding site. Thus, ditiocarb might increase the efficacy of copper by delivering copper and act as a suicide inhibitor by potentially linking the two cysteine residues at the metal binding site of csoR or ricR. 8-Hydroxyquinoline (8HQ) is a bidentate metal chelator capable of forming a Cu(II) complex with a different stoichiometry (e.g., Cu(II)–8HQ; 1:1 and 1:2 complex) [172]. The Cu(II) complex acts as an ionophore and increases the cell-associated labile copper ions, ultimately facilitating the destruction of Mycobacterium tuberculosis in primary macrophages. Additionally, it was shown that only the 1:1 stoichiometry exhibits antibacterial activity in M. tuberculosis [162]. Thiosemicarbazones are tetradentate chelators capable of complexing Cu(II) and act as an ionophore similar to 8HQ but contain rotatable bonds, increasing the flexibility of the scaffold [161,173]. Thiosemicarbazones themselves are thought to impair respiratory enzymes, such as dehydrogenases [163,174]. In addition, it has been demonstrated that this class of molecules also has activity independent of the redox cycle. Thus, it might be possible that thiosemicarbazones also impair copper-binding proteins via cysteine residues and their two sulfur groups as described above. Phenanthrolines are bidental chelators known for their membrane permeability. In addition to the copper transport, phenanthrolines are capable of DNA strand scission and inhibition of RNA polymerase, resulting in their enhanced antimicrobial activity [166]. Pyrithione is a bidental chelator similar to 8HQ but with a four-times-higher potency than 8HQ [175]. Its activity is solely based on its activity as a copper ionophore without any biocidal activity itself [167]. The classic antibiotics tetracycline, fluoroquinolone, and aminoglycosides are bidental chelators showing copper ionophore activity in a 1:1 or 1:2 (metal–ligand) complex, in addition to their antimicrobial mechanism of action [85]. In summary, combination of the above-mentioned antibiotics with copper displays a prototypical use of combinatorial drug treatment against human pathogens, such as P. aeruginosa. A more detailed explanation of the synergistic mode of action can be found in the book of R. Poole et al. [85].
The circumstance that copper has been selected by evolution over millennia and is still employed by the innate immune system indicates its superiority in antimicrobial efficiency and potency. Thus, future development of effective antibiotics has to consider the impact of copper during the innate immune response and take advantage of the unique copper homeostasis found in bacteria. Combinatorial drug treatment is a common strategy in the fight against fast-evolving cancer [176]. Because bacteria are also fast evolving, it seems evident that a combinatorial drug treatment that additionally targets the copper homeostasis provides a promising strategy in the fight against multidrug resistant pathogens [177].

7. Conclusions

Bacteria are an integral and essential part of nature’s microbiome. Consequently, there is a constant threat to humanity originating from pathogenic bacteria. More specifically, the human habitat and humans themselves provide and nurture the niche for P. aeruginosa, resulting in a never-ending competition. During this competition, which has lasted already for millennia, evolution has selected the antimicrobial effects of copper as the primary defense system against bacteria. It was shown that the innate immune system takes advantage of the well-established antimicrobial effects of copper. Thus, understanding the detailed mechanisms of copper homeostasis in P. aeruginosa will provide an advantage in the never-ending competition between humanity and multidrug resistant pathogens.
Here we divide P. aeruginosa’s reaction to elevated copper levels into three stages, resembling those of public safety organizations. Stage 1 is copper scavenging by copper-binding proteins, followed by the second stage, activation of the first responder and transcription regulator cueR. The third stage is carried out by the transcription regulator and second responder copRS, which regulates prolonged elevated copper levels. Each of these three stages provides itself numerous target sites to sabotage the defense strategy and increase the effects of antimicrobial copper derived from the innate immune system. Redundancy of some of these proteins within the copper homeostasis indicates the importance of regulation and fine-tuning of copper concentrations within the bacteria. Because of functional redundancy, only a combinatorial drug regimen targeting several proteins in parallel will provide the desired antimicrobial efficacy. Moreover, trivial solutions, such as fabrics or surfaces made out of copper or copper alloy in public areas, will provide a highly efficient and simple protection from bacteria, viruses, and fungi.
Altogether, we highlighted controversies in the nomenclature and function assigned to proteins regulated by cueR. The genome nomenclature provided by Winsor et al. would reduce such misunderstandings in the future [178]. We showed with phylogenetic analysis and structural modeling that mexPQ-opmE is unlikely to be involved in copper homeostasis but more likely to act as a multidrug efflux pump [117]. Moreover, cueR induces conformational changes in the DNA to facilitate binding of the RNA polymerase and transcription factors [109,111]. Despite tremendous advances in the field of structural biology, there are still open questions regarding detailed mechanisms and interactions between transcription factors, cueR, and DNA, leaving us with more research ahead until we fully understand the organization, mechanisms, and regulation of copper homeostasis in the human pathogen P. aeruginosa.

Author Contributions

L.H. conceptualized, wrote, and illustrated the manuscript. M.H. wrote and illustrated the manuscript. S.R. conceptualized, wrote, revised, and consulted on the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by NSF/BSF MCB 2019723.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Publicly available datasets were analyzed in this study. This data can be found here: https://www.rcsb.org/; https://www.uniprot.org/; https://www.ncbi.nlm.nih.gov/.

Acknowledgments

We thank Shirin Kahremany for her valuable comments on the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

ATPAdenosine triphosphate
CMTCytoplasmic membrane transporter
COPDSevere chronic obstructive pulmonary disease
Cryo-EMCryogenic electron microscopy
CYTO-CCytoplasmic copper chaperone
CZCCo(II), Zn(II), and Cd(II)
DNADeoxyribonucleic acid
EPAEnvironmental Protection Agency
EPRElectron paramagnetic resonance
ExoSExoenzyme S
ExoTExoenzyme T
ExoUExoenzyme U
ExoYExoenzyme Y
GluGlutamic acid
HIVHuman immunodeficiency viruses
HMEHeavy metal efflux
IRVSIntensive respiratory or vasopressor support
iTOLInteractive Tree of Life
KDDissociation constant
LPSLipopolysaccharide
MCOMulticopper oxidase
merRMercuric resistance operon regulatory protein
MetMethionine
MFPMembrane fusion protein
MFSMajor facilitator superfamily
MTMetallothionein
OMFOuter membrane factor
PCHPyochelin
Peri CPeriplasmic copper chaperone
PtrAPseudomonas type III repressor A
P-typeP-type copper ATPase
PVDPyoverdine
QSQuorum sensing
RNARibonucleic acid
RNDResistance nodulation division
rpoDRNA polymerase sigma factor
SideroSiderophores
TFTranscription factor
T3SSType III secretion system
T6SSThe type VI secretion system
WHOWorld Health Organization
2CSCopper-sensing two-component

References

  1. Talon, D.; Pseudomonas, B.X.M. Etymologia: Pseudomonas. Emerg. Infect. Dis. 2012, 18, 1241. [Google Scholar]
  2. Shooter, R.A.; Gaya, H.; Cooke, E.M.; Kumar, P.; Patel, N.; Parker, M.T.; Thom, B.T.; France, D.R. Food and medicaments as possible sources of hospital strains of Pseudomonas aeruginosa. Lancet 1969, 1, 1227–1229. [Google Scholar] [CrossRef]
  3. Crone, S.; Vives-Flórez, M.; Kvich, L.; Saunders, A.M.; Malone, M.; Nicolaisen, M.H.; Martínez-García, E.; Rojas-Acosta, C.; Catalina Gomez-Puerto, M.; Calum, H.; et al. The environmental occurrence of Pseudomonas aeruginosa. Apmis 2020, 128, 220–231. [Google Scholar] [CrossRef]
  4. Chatterjee, P.; Davis, E.; Yu, F.; James, S.; Wildschutte, J.H.; Wiegmann, D.D.; Sherman, D.H.; McKay, R.M.; LiPuma, J.J.; Wildschutte, H. Environmental pseudomonads inhibit cystic fibrosis patient-derived Pseudomonas aeruginosa. Appl. Environ. Microbiol. 2017, 83, 1–13. [Google Scholar] [CrossRef] [Green Version]
  5. Ringen, L.M.; Drake, C.H. A study of the incidence of Pseudomonas aeruginosa from various natural sources. J. Bacteriol. 1952, 64, 841–845. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Hamidimarri, S.; Young, T.; Shanmugam, M.; Soderholm, S.; Basle, A.; Belzunces, B.; Skylaris, C.; Bumann, D.; Khalid, S.; van den Berg, B. Acquisition of ionic copper by a bacterial outer membrane protein. bioRxiv 2020. [Google Scholar] [CrossRef]
  7. Teitzel, G.M.; Parsek, M.R. Heavy Metal Resistance of Biofilm and Planktonic Pseudomonas aeruginosa. Appl. Environ. Microbiol. 2003, 69, 2313–2320. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Pitondo-Silva, A.; Gonçalves, G.B.; Stehling, E.G. Heavy metal resistance and virulence profile in Pseudomonas aeruginosa isolated from Brazilian soils. Apmis 2016, 124, 681–688. [Google Scholar] [CrossRef]
  9. Hobman, J.L.; Crossman, L.C. Bacterial antimicrobial metal ion resistance. J. Med. Microbiol. 2015, 64, 471–497. [Google Scholar] [CrossRef]
  10. Redfield, R.R. Antibiotic resistance threats in the United States. Cent. Dis. Control Prev. 2019. [Google Scholar] [CrossRef] [Green Version]
  11. Gransden, W.R.; Leibovici, L.; Eykyn, S.J.; Pitlik, S.D.; Samra, Z.; Konisberger, H.; Drucker, M.; Phillips, I. Risk factors and a clinical index for diagnosis of Pseudomonas aeruginosa bacteremia. Clin. Microbiol. Infect. 1995, 1, 119–123. [Google Scholar] [CrossRef] [Green Version]
  12. Restrepo, M.I.; Babu, B.L.; Reyes, L.F.; Chalmers, J.D.; Soni, N.J.; Sibila, O.; Faverio, P.; Cilloniz, C.; Rodriguez-Cintron, W.; Aliberti, S.; et al. Burden and risk factors for Pseudomonas aeruginosa community-acquired pneumonia: A multinational point prevalence study of hospitalised patients. Eur. Respir. J. 2018. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Hoang, S.; Georget, A.; Asselineau, J.; Venier, A.G.; Leroyer, C.; Rogues, A.M.; Thiébaut, R. Risk factors for colonization and infection by Pseudomonas aeruginosa in patients hospitalized in intensive care units in France. PLoS ONE 2018, 13, e0193300. [Google Scholar] [CrossRef]
  14. Merchant, S.; Proudfoot, E.M.; Quadri, H.N.; McElroy, H.J.; Wright, W.R.; Gupta, A.; Sarpong, E.M. Risk factors for Pseudomonas aeruginosa infections in Asia-Pacific and consequences of inappropriate initial antimicrobial therapy: A systematic literature review and meta-analysis. J. Glob. Antimicrob. Resist. 2018, 14, 33–44. [Google Scholar] [CrossRef]
  15. Ghibu, L.; Miftode, E.; Teodor, A.; Bejan, C.; Dorobăţ, C.M. Risk factors for Pseudomonas aeruginosa infections, resistant to carbapenem. Rev. Med. Chir. Soc. Med. Nat. Iasi. 2010, 114, 1012–1016. [Google Scholar]
  16. Jones, J.L.; Dargelas, V.; Roberts, J.; Press, C.; Remington, J.S.; Montoya, J.G. Risk Factors for Toxoplasma gondii Infection in the United States. Clin. Infect. Dis. 2009, 49, 878–884. [Google Scholar] [CrossRef] [Green Version]
  17. Hill, S.; Raviglione, M.; Weyer, K.; Tacconelli, E.; Magrini, N. Prioritization of Pathogens to Guide Discovery, Research and Development of New Antibiotics for Drug-Resistant Bacterial Infections, Including Tuberculosis; WHO: Geneva, Switzerland, 2017. [Google Scholar]
  18. Pollack, M. The virulence of Pseudomonas aeruginosa. Rev. Infect. Diseases 1984, 6, S617–S626. [Google Scholar] [CrossRef]
  19. Peterson, J.W. Chapter 7 Bacterial Pathogenesis. Med. Microbiol. 2013, 1, 1–20. [Google Scholar]
  20. Hauser, A.R. So Many Virulence Factors, So Little Time. Crit. Care Med. 2012, 39, 2193–2194. [Google Scholar] [CrossRef] [Green Version]
  21. Le Berre, R.; Nguyen, S.; Nowak, E.; Kipnis, E.; Pierre, M.; Quenee, L.; Ader, F.; Lancel, S.; Courcol, R.; Guery, B.P.; et al. Relative contribution of three main virulence factors in Pseudomonas aeruginosa pneumonia. Crit. Care Med. 2011, 39, 2113–2120. [Google Scholar] [CrossRef] [PubMed]
  22. Moradali, M.F.; Ghods, S.; Rehm, B.H.A. Pseudomonas aeruginosa lifestyle: A paradigm for adaptation, survival, and persistence. Front. Cell Infect. Microbiol. 2017. [Google Scholar] [CrossRef] [Green Version]
  23. Newman, J.W.; Floyd, R.V.; Fothergill, J.L. The contribution of Pseudomonas aeruginosa virulence factors and host factors in the establishment of urinary tract infections. Fems. Microbiol. Lett. 2017, 364, 1–11. [Google Scholar] [CrossRef]
  24. Azam, M.W.; Khan, A.U. Updates on the pathogenicity status of Pseudomonas aeruginosa. Drug Discov. Today 2019, 24, 350–359. [Google Scholar] [CrossRef]
  25. Juhas, M.; Eberl, L.; Tümmler, B. Quorum sensing: The power of cooperation in the world of Pseudomonas. Environ. Microbiol. 2005, 7, 459–471. [Google Scholar] [CrossRef] [PubMed]
  26. Williams, P.; Cámara, M. Quorum sensing and environmental adaptation in Pseudomonas aeruginosa: A tale of regulatory networks and multifunctional signal molecules. Curr. Opin. Microbiol. 2009, 12, 182–191. [Google Scholar] [CrossRef]
  27. Häussler, S.; Becker, T. The pseudomonas quinolone signal (PQS) balances life and death in Pseudomonas aeruginosa populations. PLoS Pathog. 2008, 4, e1000166. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Mukherjee, S.; Moustafa, D.; Smith, C.D.; Goldberg, J.B.; Bassler, B.L. The RhlR quorum-sensing receptor controls Pseudomonas aeruginosa pathogenesis and biofilm development independently of its canonical homoserine lactone autoinducer. PLoS Pathog. 2017, 13, 1–25. [Google Scholar] [CrossRef] [PubMed]
  29. Kiratisin, P.; Tucker, K.D.; Passador, L. LasR, a transcriptional activator of Pseudomonas aeruginosa virulence genes, functions as a multimer. J. Bacteriol. 2002, 184, 4912–4919. [Google Scholar] [CrossRef] [Green Version]
  30. Cornelis, P. Putting an end to the Pseudomonas aeruginosa IQS controversy. Microbiologyopen 2020, 9, 2019–2020. [Google Scholar] [CrossRef] [Green Version]
  31. Kostylev, M.; Kim, D.Y.; Smalley, N.E.; Salukhe, I.; Peter Greenberg, E.; Dandekar, A.A. Evolution of the Pseudomonas aeruginosa quorum-sensing hierarchy. Proc. Natl. Acad. Sci. USA 2019, 116, 7027–7032. [Google Scholar] [CrossRef] [Green Version]
  32. Whiteley, M.; Diggle, S.P.; Greenberg, E.P. Progress in and promise of bacterial quorum sensing research. Nature 2017, 551, 313–320. [Google Scholar] [CrossRef] [PubMed]
  33. Huang, Y.; Chen, Y.; Zhang, L.H. The roles of microbial cell-cell chemical communication systems in the modulation of antimicrobial resistance. Antibiotics 2020, 9, 779. [Google Scholar] [CrossRef] [PubMed]
  34. Skindersoe, M.E.; Alhede, M.; Phipps, R.; Yang, L.; Jensen, P.O.; Rasmussen, T.B.; Bjarnsholt, T.; Tolker-Nielsen, T.; Høiby, N.; Givskov, M. Effects of antibiotics on quorum sensing in Pseudomonas aeruginosa. Antimicrob. Agents Chemother. 2008, 52, 3648–3663. [Google Scholar] [CrossRef] [Green Version]
  35. Tan, S.Y.Y.; Chua, S.L.; Chen, Y.; Rice, S.A.; Kjelleberg, S.; Nielsen, T.E.; Yang, L.; Givskov, M. Identification of five structurally unrelated quorum-sensing inhibitors of Pseudomonas aeruginosa from a natural-derivative database. Antimicrob. Agents Chemother. 2013, 57, 5629–5641. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Shaw, E.; Wuest, W.M.; Wuest, W.M. Virulence attenuating combination therapy: A potential multi-target synergy approach to treat: Pseudomonas aeruginosa infections in cystic fibrosis patients. RSC Med. Chem. 2020, 11, 358–369. [Google Scholar] [CrossRef]
  37. Rietschel, E.T.; Kirikae, T.; Schade, F.U.; Mamat, U.; Schmidt, G.; Loppnow, H.; Ulmer, A.J.; Zähringer, U.; Seydel, U.; Di Padova, F.; et al. Bacterial endotoxin: Molecular relationships of structure to activity and function. Faseb J. 1994, 8, 217–225. [Google Scholar] [CrossRef]
  38. Bystrova, O.V.; Lindner, B.; Moll, H.; Kocharova, N.A.; Knirel, Y.A.; Zahringer, U.; Pier, G.B. Full structure of the lipopolysaccharide of Pseudomonas aeruginosa immunotype 5. Biochemistry 2004, 69, 170–175. [Google Scholar] [CrossRef] [Green Version]
  39. Raetz, C.R.H.; Whitfield, C. Lipopolysaccharide Endotoxins Endotoxins as Activators of Innate Immunity. Annu. Rev. Biochem. 2008, 71, 635–700. [Google Scholar] [CrossRef] [Green Version]
  40. Huszczynski, S.M.; Lam, J.S.; Khursigara, C.M. The role of Pseudomonas aeruginosa lipopolysaccharide in bacterial pathogenesis and physiology. Pathogens. 2019, 9, 6. [Google Scholar] [CrossRef] [Green Version]
  41. Bertani, B.; Ruiz, N. Function and Biogenesis of Lipopolysaccharides. EcoSal. Plus 2018, 8, 139–148. [Google Scholar] [CrossRef]
  42. Lam, J.S.; Taylor, V.L.; Islam, S.T.; Hao, Y.; Kocíncová, D. Genetic and functional diversity of Pseudomonas aeruginosa lipopolysaccharide. Front. Microbiol. 2011, 2, 1–25. [Google Scholar] [CrossRef] [Green Version]
  43. Pier, G.B. Pseudomonas aeruginosa lipopolysaccharide: A major virulence factor, initiator of inflammation and target for effective immunity. Int. J. Med. Microbiol. 2007, 297, 277–295. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Mazgaeen, L.; Gurung, P. Recent advances in lipopolysaccharide recognition systems. Int. J. Mol. Sci. 2020, 21, 379. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Jones, C.J.; Wozniaka, D.J. Psl Produced by mucoid Pseudomonas aeruginosa contributes to the establishment of biofilms and immune evasion. MBio 2017, 8, 1–14. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Esteban, J.; Pérez-Tanoira, R.; Pérez-Jorge-Peremarch, C.; Gómez-Barrena, E. Bacterial Adherence to Biomaterials Used in Surgical Procedures. Microbiol. Surg. Infect. Diagn. Progn. Treat. 2014, 41–57. [Google Scholar]
  47. Jennings, L.K.; Storek, K.M.; Ledvina, H.E.; Coulon, C.; Marmont, L.S.; Sadovskaya, I.; Secor, P.R.; Tseng, B.S.; Scian, M.; Filloux, A.; et al. Pel is a cationic exopolysaccharide that cross-links extracellular DNA in the Pseudomonas aeruginosa biofilm matrix. Proc. Natl. Acad. Sci. USA 2015, 112, 11353–11358. [Google Scholar] [CrossRef] [Green Version]
  48. Irie, Y.; Roberts, A.E.L.; Kragh, K.N.; Gordon, V.D.; Hutchison, J.; Allen, R.J.; Melaugh, G.; Bjarnsholt, T.; West, S.A.; Diggle, S.P. The Pseudomonas aeruginosa PSL polysaccharide is a social but noncheatable trait in biofilms. MBio 2017, 8, 1–13. [Google Scholar] [CrossRef] [Green Version]
  49. Thi, M.T.T.; Wibowo, D.; Rehm, B.H.A. Pseudomonas aeruginosa biofilms. Int. J. Mol. Sci. 2020, 21, 8671. [Google Scholar] [CrossRef]
  50. Passos da Silva, D.; Matwichuk, M.L.; Townsend, D.O.; Reichhardt, C.; Lamba, D.; Wozniak, D.J.; Parsek, M.R. The Pseudomonas aeruginosa lectin LecB binds to the exopolysaccharide Psl and stabilizes the biofilm matrix. Nat. Commun. 2019, 10, 1–11. [Google Scholar] [CrossRef]
  51. Grishin, A.V.; Krivozubov, M.S.; Karyagina, A.S.; Gintsburg, A.L. Pseudomonas Aeruginosa lectins as targets for novel antibacterials. Acta Naturae 2015, 7, 29–41. [Google Scholar] [CrossRef] [Green Version]
  52. Kolomiets, E.; Johansson, E.M.V.; Renaudet, O.; Darbre, T.; Reymond, J.L. Neoglycopeptide dendrimer libraries as a source of lectin binding ligands. Org. Lett. 2007, 9, 1465–1468. [Google Scholar] [CrossRef]
  53. Reymond, J.L.; Bergmann, M.; Darbrea, T. Glycopeptide dendrimers as pseudomonas aeruginosa biofilm inhibitors. Chem. Soc. Rev. 2013, 42, 4814–4822. [Google Scholar] [CrossRef] [Green Version]
  54. Chemani, C.; Imberty, A.; De Bentzmann, S.; Pierre, M.; Wimmerová, M.; Guery, B.P.; Faure, K. Role of LecA and LecB lectins in Pseudomonas aeruginosa-induced lung injury and effect of carbohydrate ligands. Infect. Immun. 2009, 77, 2065–2075. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Abdel-Rhman, S.H. Role of Pseudomonas aeruginosa lipopolysaccharides in modulation of biofilm and virulence factors of Enterobacteriaceae. Ann. Microbiol. 2019, 69, 299–305. [Google Scholar] [CrossRef]
  56. Lombardi, C.; Tolchard, J.; Bouillot, S.; Signor, L.; Gebus, C.; Liebl, D.; Fenel, D.; Teulon, J.M.; Brock, J.; Habenstein, B.; et al. Structural and functional characterization of the type three secretion system (T3SS) needle of pseudomonas aeruginosa. Front. Microbiol. 2019, 10, 573. [Google Scholar] [CrossRef] [Green Version]
  57. Galle, M.; Carpentier, I.; Beyaert, R. Structure and Function of the Type III Secretion System of Pseudomonas aeruginosa. Curr. Protein Pept. Sci. 2013, 13, 831–842. [Google Scholar] [CrossRef] [Green Version]
  58. Hauser, A.R. The type III secretion system of Pseudomonas aeruginosa: Infection by injection. Nat. Rev. Microbiol. 2009, 7, 654–665. [Google Scholar] [CrossRef] [Green Version]
  59. Yahr, T.L.; Wolfgang, M.C. Transcriptional regulation of the Pseudomonas aeruginosa type III secretion system. Mol. Microbiol. 2006, 62, 631–640. [Google Scholar] [CrossRef]
  60. McShan, A.C.; De Guzman, R.N. The Bacterial Type III Secretion System as a Target for Developing New Antibiotics. Chem. Biol. Drug Des. 2015, 85, 30–42. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  61. Anantharajah, A.; Mingeot-Leclercq, M.P.; Van Bambeke, F. Targeting the Type Three Secretion System in Pseudomonas aeruginosa. Trends Pharm. Sci. 2016, 37, 734–749. [Google Scholar] [CrossRef] [PubMed]
  62. Bonomo, R.A.; Szabo, D. Mechanisms of Multidrug Resistance in Acinetobacter Species and Pseudomonas aeruginosa. Clin. Infect. Dis. 2006, 43, S49–S56. [Google Scholar] [CrossRef] [Green Version]
  63. Botelho, J.; Grosso, F.; Peixe, L. Antibiotic resistance in Pseudomonas aeruginosa—Mechanisms, epidemiology and evolution. Drug Resist. Updat. 2019, 44, 100640. [Google Scholar] [CrossRef]
  64. Hwang, W.; Yoon, S.S. Virulence Characteristics and an Action Mode of Antibiotic Resistance in Multidrug-Resistant Pseudomonas aeruginosa. Sci. Rep. 2019, 9, 1–15. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Lister, P.D.; Wolter, D.J.; Hanson, N.D. Antibacterial-resistant Pseudomonas aeruginosa: Clinical impact and complex regulation of chromosomally encoded resistance mechanisms. Clin. Microbiol. Rev. 2009, 22, 582–610. [Google Scholar] [CrossRef] [Green Version]
  66. Hancock, R.E.W.; Speert, D.P. Antibiotic resistance in Pseudomonas aeruginosa: Mechanisms and impact on treatment. Drug Resist. Updat. 2000, 3, 247–255. [Google Scholar] [CrossRef] [Green Version]
  67. van den Akker, F.; Bonomo, R.A. Exploring additional dimensions of complexity in inhibitor design for serine β-lactamases: Mechanistic and intra- and inter-molecular chemistry approaches. Front. Microbiol. 2018, 9, 1–10. [Google Scholar] [CrossRef] [Green Version]
  68. Papp-Wallace, K.M.; Nguyen, N.Q.; Jacobs, M.R.; Bethel, C.R.; Barnes, M.D.; Kumar, V.; Bajaksouzian, S.; Rudin, S.D.; Rather, P.N.; Bhavsar, S.; et al. Strategic Approaches to Overcome Resistance against Gram-Negative Pathogens Using β-Lactamase Inhibitors and β-Lactam Enhancers: Activity of Three Novel Diazabicyclooctanes WCK 5153, Zidebactam (WCK 5107), and WCK 4234. J. Med. Chem. 2018, 61, 4067–4086. [Google Scholar] [CrossRef] [PubMed]
  69. Kumar, V.; Tang, C.; Bethel, C.R.; Papp-Wallace, K.M.; Wyatt, J.; Desarbre, E.; Bonomo, R.A.; van den Akker, F. Structural Insights into Ceftobiprole Inhibition of Pseudomonas aeruginosa Penicillin-Binding Protein 3. Antimicrob. Agents Chemother. 2020, 64, 1–12. [Google Scholar] [CrossRef]
  70. Goldberg, J.A.; Nguyen, H.; Kumar, V.; Spencer, E.J.; Hoyer, D.; Marshall, E.K.; Cmolik, A.; O’Shea, M.; Marshall, S.H.; Hujer, A.M.; et al. A γ-Lactam Siderophore Antibiotic Effective against Multidrug-Resistant Gram-Negative Bacilli. J. Med. Chem. 2020, 63, 5990–6002. [Google Scholar] [CrossRef]
  71. Solioz, M. Copper Homeostasis in Gram-Negative Bacteria. In Copper and Bacteria. Springer Briefs in Molecular Science; Springer: Cham, Switzerland, 2018; pp. 49–80. [Google Scholar]
  72. Andrei, A.; Öztürk, Y.; Khalfaoui-Hassani, B.; Rauch, J.; Marckmann, D.; Trasnea, P.I.; Daldal, F.; Koch, H.G. Cu homeostasis in bacteria: The ins and outs. Membranes 2020, 10, 242. [Google Scholar] [CrossRef] [PubMed]
  73. Yoneyama, H.; Nakae, T. Protein C (OprC) of the outer membrane of Pseudomonas aeruginosa is a copper-regulated channel protein. Microbiology 1996, 142, 2137–2144. [Google Scholar] [CrossRef] [Green Version]
  74. Porcheron, G.; Garénaux, A.; Proulx, J.; Sabri, M.; Dozois, C.M. Iron, copper, zinc, and manganese transport and regulation in pathogenic Enterobacteria: Correlations between strains, site of infection and the relative importance of the different metal transport systems for virulence. Front. Cell Infect. Microbiol. 2013, 3, 1–24. [Google Scholar] [CrossRef] [Green Version]
  75. Cha, J.S.; Cooksey, D.A. Copper hypersensitivity and uptake in Pseudomonas syringae containing cloned components of the copper resistance operon. Appl. Environ. Microbiol. 1993, 59, 1671–1674. [Google Scholar] [CrossRef] [Green Version]
  76. Ekici, S.; Yang, H.; Koch, H.G.; Daldal, F. Novel transporter required for biogenesis of cbb3-type Cytochrome C oxidase in Rhodobacter capsulatus. MBio 2012, 3, 1–11. [Google Scholar] [CrossRef] [Green Version]
  77. Parmar, J.H.; Quintana, J.; Ramírez, D.; Laubenbacher, R.; Argüello, J.M.; Mendes, P. An important role for periplasmic storage in Pseudomonas aeruginosa copper homeostasis revealed by a combined experimental and computational modeling study. Mol. Microbiol. 2018, 110, 357–369. [Google Scholar] [CrossRef] [PubMed]
  78. Yan, N. Structural Biology of the Major Facilitator Superfamily Transporters. Annu. Rev. Biophys. 2015, 44, 257–283. [Google Scholar] [CrossRef]
  79. Ekici, S.; Turkarslan, S.; Pawlik, G.; Dancis, A.; Baliga, N.S.; Koch, H.G.; Daldal, F. Intracytoplasmic copper homeostasis controls cytochrome c oxidase production. MBio 2014, 5, 1–9. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  80. Brandel, J.; Humbert, N.; Elhabiri, M.; Schalk, I.J.; Mislin, G.L.A.; Albrecht-Gary, A.M. Pyochelin, a siderophore of Pseudomonas aeruginosa: Physicochemical characterization of the iron(iii), copper(ii) and zinc(ii) complexes. Dalt. Trans. 2012, 41, 2820–2834. [Google Scholar] [CrossRef]
  81. Xiao, R.; Kisaalita, W.S. Purification of pyoverdines of Pseudomonas fluorescens 2-79 by copper- chelate chromatography. Appl. Environ. Microbiol. 1995, 61, 3769–3774. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  82. Braud, A.; Geoffroy, V.; Hoegy, F.; Mislin, G.L.A.; Schalk, I.J. Presence of the siderophores pyoverdine and pyochelin in the extracellular medium reduces toxic metal accumulation in Pseudomonas aeruginosa and increases bacterial metal toleranceemi. Environ. Microbiol. Rep. 2010, 2, 419–425. [Google Scholar] [CrossRef]
  83. Hannauer, M.; Braud, A.; Hoegy, F.; Ronot, P.; Boos, A.; Schalk, I.J. The PvdRT-OpmQ efflux pump controls the metal selectivity of the iron uptake pathway mediated by the siderophore pyoverdine in Pseudomonas aeruginosa. Environ. Microbiol. 2012, 14, 1696–1708. [Google Scholar] [CrossRef]
  84. Braud, A.; Hoegy, F.; Jezequel, K.; Lebeau, T.; Schalk, I.J. New insights into the metal specificity of the Pseudomonas aeruginosa pyoverdine-iron uptake pathway. Environ. Microbiol. 2009, 11, 1079–1091. [Google Scholar] [CrossRef]
  85. Poole, R.K. Microbiology of Metal Ions; Academic Press: Cambridge, MA, USA, 2017; p. 379. [Google Scholar]
  86. Thaden, J.T.; Lory, S.; Gardner, T.S. Quorum-sensing regulation of a copper toxicity system in Pseudomonas aeruginosa. J. Bacteriol. 2010, 192, 2557–2568. [Google Scholar] [CrossRef] [Green Version]
  87. Habjanič, J.; Mathew, A.; Eberl, L.; Freisinger, E. Deciphering the Enigmatic Function of Pseudomonas Metallothioneins. Front. Microbiol. 2020, 11, 1–10. [Google Scholar] [CrossRef]
  88. Teitzel, G.M.; Geddie, A.; De Long, S.K.; Kirisits, M.J.; Whiteley, M.; Parsek, M.R. Survival and growth in the presence of elevated copper: Transcriptional profiling of copper-stressed Pseudomonas aeruginosa. J. Bacteriol. 2006, 188, 7242–7256. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  89. Mills, S.D.; Jasalavich, C.A.; Cooksey, D.A. A Two-Component Regulatory System Required for Copper- Inducible Expression of the Copper Resistance Operon of Pseudomonas syringae. J. Bacteriol. 1993, 175, 1656–1664. [Google Scholar] [CrossRef] [Green Version]
  90. Alquethamy, S.F.; Khorvash, M.; Pederick, V.G.; Whittall, J.J.; Paton, J.C.; Paulsen, I.T.; Hassan, K.A.; McDevitt, C.A.; Eijkelkamp, B.A. The role of the copA copper efflux system in acinetobacter baumannii virulence. Int. J. Mol. Sci. 2019, 20, 575. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  91. Elsen, S.; Ragno, M.; Attree, I. PtrA is a periplasmic protein involved in Cu tolerance in Pseudomonas aeruginosa. J. Bacteriology 2011, 193, 3376–3378. [Google Scholar] [CrossRef] [Green Version]
  92. Palm-Espling, M.E.; Niemiec, M.S.; Wittung-Stafshede, P. Role of metal in folding and stability of copper proteins in vitro. Biochim. Biophys. Acta 2012, 1823, 1594–1603. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  93. Taylor, A.B.; Stoj, C.S.; Ziegler, L.; Kosman, D.J.; Hart, P.J. The copper-iron connection in biology: Structure of the metallo-oxidase Fet3p. Proc. Natl. Acad. Sci. USA 2005, 102, 15459–15464. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  94. Wang, Y.; Pannuri, A.A.; Ni, D.; Zhou, H.; Cao, X.; Lu, X.; Romeo, T.; Huang, Y. Structural basis for translocation of a biofilm-supporting exopolysaccharide across the bacterial outer membrane. J. Biol. Chem. 2016, 291, 10046–10057. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  95. Outten, F.W.; Outten, C.E.; Hale, J.; O’Halloran, T.V. Transcriptional activation of an Escherichia coli copper efflux regulon by the chromosomal MerR homologue, CueR. J. Biol. Chem. 2000, 275, 31024–31029. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  96. Rouch, D.A.; Brown, N.L. Copper-induci ble transcriptional regulation at two promoters in the Escherichia coli copper resistance determinant pco. Microbiology 1997, 143, 1191–1202. [Google Scholar] [CrossRef] [Green Version]
  97. Munson, G.P.; Lam, D.L.; Outten, F.W. Identification of a Copper-Responsive Two-Component System on the Chromosome of Escherichia coli K-12. J. Bacteriol. 2000, 182, 5864–5871. [Google Scholar] [CrossRef] [Green Version]
  98. Franke, S.; Grass, G.; Rensing, C.; Nies, D.H. Molecular analysis of the copper-transporting efflux system CusCFBA of Escherichia coli. J. Bacteriol. 2003, 185, 3804–3812. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  99. Zimmermann, M.; Udagedara, S.R.; Sze, C.M.; Ryan, T.M.; Howlett, G.J.; Xiao, Z.; Wedd, A.G. PcoE—A metal sponge expressed to the periplasm of copper resistance Escherichia coli. Implication of its function role in copper resistance. J. Inorg. Biochem. 2012, 115, 186–197. [Google Scholar] [CrossRef]
  100. Wernimont, A.K.; Huffman, D.L.; Finney, L.A.; Demeler, B.; O’Halloran, T.V.; Rosenzweig, A.C. Crystal structure and dimerization equilibria of PcoC, a methionine-rich copper resistance protein from Escherichia coli. J. Biol. Inorg. Chem. 2003, 8, 185–194. [Google Scholar] [CrossRef]
  101. Djoko, K.Y.; Xiao, Z.; Wedd, A.G. Copper resistance in E. coli: The multicopper oxidase PcoA catalyzes oxidation of copper (I) in CuICuII-PcoC. ChemBioChem 2008, 9, 1579–1582. [Google Scholar] [CrossRef]
  102. Grass, G.; Rensing, C. CueO is a multi-copper oxidase that confers copper tolerance in Escherichia coli. Biochem Biophys. Res. Commun. 2001, 286, 902–908. [Google Scholar] [CrossRef]
  103. Koh, E.-I.; Robinson, A.E.; Bandara, N.; Rogers, B.E.; Henderson, J.P. Copper import in Escherichia coli by the yersiniabactin metallophore system. Nat. Chem. Biol. 2017, 13, 1016–1021. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  104. Brown, N.L.; Barrett, S.R.; Camakaris, J.; Lee, B.T.O.O.; Rouch, D.A. Molecular genetics and transport analysis of the copper-resistance determinant (pco) from Escherichia coli plasmid pRJ1004. Mol. Microbiol. 1995, 17, 1153–1166. [Google Scholar] [CrossRef]
  105. Novoa-Aponte, L.; Ramírez, D.; Argüello, J.M. The interplay of the metallosensor CueR with two distinct CopZ chaperones defines copper homeostasis in Pseudomonas aeruginosa. J. Biol. Chem. 2019, 294, 4934–4945. [Google Scholar] [CrossRef] [Green Version]
  106. Raimunda, D.; Padilla-Benavides, T.; Vogt, S.; Boutigny, S.; Tomkinson, K.N.; Finney, L.A.; Argüello, J.M. Periplasmic response upon disruption of transmembrane Cu transport in Pseudomonas aeruginosa. Metallomics 2013, 5, 144–151. [Google Scholar] [CrossRef]
  107. Quintana, J.; Novoa-Aponte, L.; Argüello, J.M. Copper homeostasis networks in the bacterium Pseudomonas aeruginosa. J. Biol. Chem. 2017, 292, 15691–15704. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  108. Brown, N.L.; Stoyanov, J.V.; Kidd, S.P.; Hobman, J.L. The MerR family of transcriptional regulators. FEMS Microbiol. Rev. 2003, 27, 145–163. [Google Scholar] [CrossRef] [Green Version]
  109. Sameach, H.; Narunsky, A.; Azoulay-Ginsburg, S.; Gevorkyan-Aiapetov, L.; Zehavi, Y.; Moskovitz, Y.; Juven-Gershon, T.; Ben-Tal, N.; Ruthstein, S. Structural and Dynamics Characterization of the MerR Family Metalloregulator CueR in its Repression and Activation States. Structure 2017, 25, 988–996.e3. [Google Scholar] [CrossRef] [Green Version]
  110. Sameach, H.; Ghosh, S.; Gevorkyan-Airapetov, L.; Saxena, S.; Ruthstein, S. EPR Spectroscopy Detects Various Active State Conformations of the Transcriptional Regulator CueR. Angew. Chem. 2019, 58, 3053–3056. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  111. Fang, C.; Philips, S.J.; Wu, X.; Chen, K.; Shi, J.; Shen, L.; Xu, J.; Feng, Y.; O’Halloran, T.V.; Zhang, Y. CueR activates transcription through a DNA distortion mechanism. Nat. Chem. Biol. 2021. [Google Scholar] [CrossRef] [PubMed]
  112. Changela, A.; Chen, K.; Xue, Y.; Holschen, J.; Outten, C.E.; O’Halloran, T.V.; Mondragón, A. Molecular basis of metal-ion selectivity and zeptomolar sensitivity by CueR. Science 2003, 301, 1383–1387. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  113. Osman, D.; Piergentili, C.; Chen, J.; Chakrabarti, B.; Foster, A.W.; Lurie-Luke, E.; Huggins, T.G.; Robinson, N.J. Generating a metal-responsive transcriptional regulator to test what confers metal sensing in cells. J. Biol. Chem. 2015, 290, 19806–19822. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  114. Han, Y.; Wang, T.; Chen, G.; Pu, Q.; Liu, Q.; Zhang, Y.; Xu, L.; Wu, M.; Liang, H. A Pseudomonas aeruginosa type VI secretion system regulated by CueR facilitates copper acquisition. PLoS Pathog. 2019, 15, 1–25. [Google Scholar] [CrossRef] [Green Version]
  115. Wright, B.W.; Kamath, K.S.; Krisp, C.; Molloy, M.P. Proteome profiling of Pseudomonas aeruginosa PAO1 identifies novel responders to copper stress. BMC Microbiol. 2019, 19, 1–13. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  116. Haider, S.; Pal, R. Integrated Analysis of Transcriptomic and Proteomic Data. Curr. Genomics 2013, 14, 91–110. [Google Scholar] [CrossRef]
  117. Mima, T.; Sekiya, H.; Mizushima, T.; Kuroda, T.; Tsuchiya, T. Gene cloning and properties of the RND-type multidrug efflux pumps MexPQ-OpmE and MexMN-OprM from Pseudomonas aeruginosa. Microbiol. Immunol. 2005, 49, 999–1002. [Google Scholar] [CrossRef] [PubMed]
  118. Conry, R.R. Copper: Inorganic & Coordination Chemistry Based in part on the article Copper: Inorganic & Coordination Chemistry by Rebecca, R. Conry & Kenneth, D. Karlin which appeared in the Encyclopedia of Inorganic Chemistry. In Encyclopedia of Inorganic and Bioinorganic Chemistry, 1st ed.; John Wiley & Sons, Ltd.: Chichester, UK, 2011. [Google Scholar]
  119. Novoa-Aponte, L.; Soncini, F.; Argüello, J. The two-component system CopRS maintains femtomolar levels of free copper in the periplasm of Pseudomonas aeruginosa using a phosphatase-based mechanism. mSphere 2020, 5, 1–15. [Google Scholar] [CrossRef]
  120. Grünberger, F.; Reichelt, R.; Waege, I.; Ned, V.; Bronner, K.; Kaljanac, M.; Weber, N.; El Ahmad, Z.; Knauss, L.; Madej, M.G.; et al. CopR, a Global Regulator of Transcription to Maintain Copper Homeostasis in Pyrococcus furiosus. Front. Microbiol. 2021, 11, 1–18. [Google Scholar] [CrossRef] [PubMed]
  121. Oc, S.; Eraslan, S.; Kirdar, B. Dynamic transcriptional response of Saccharomyces cerevisiae cells to copper. Sci. Rep. 2020, 10, 1–14. [Google Scholar] [CrossRef] [PubMed]
  122. Caille, O.; Rossier, C.; Perron, K. A copper-activated two-component system interacts with zinc and imipenem resistance in Pseudomonas aeruginosa. J. Bacteriol. 2007, 189, 4561–4568. [Google Scholar] [CrossRef] [Green Version]
  123. González-Guerrero, M.; Raimunda, D.; Cheng, X.; Argüello, J.M. Distinct functional roles of homologous Cu+ efflux ATPases in Pseudomonas aeruginosa. Mol. Microbiol. 2010, 78, 1246–1258. [Google Scholar] [CrossRef]
  124. Ducret, V.; Gonzalez, M.R.; Leoni, S.; Valentini, M.; Perron, K. The CzcCBA Efflux System Requires the CadA P-Type ATPase for Timely Expression Upon Zinc Excess in Pseudomonas aeruginosa. Front. Microbiol. 2020, 11, 1–13. [Google Scholar] [CrossRef]
  125. Nies, D.H. The cobalt, zinc, and cadmium efflux system CzcABC from Alcaligenes eutrophus functions as a cation-proton antiporter in Escherichia coli. J. Bacteriol. 1995, 177, 2707–2712. [Google Scholar] [CrossRef] [Green Version]
  126. Perron, K.; Caille, O.; Rossier, C.; Van Delden, C.; Dumas, J.L.; Köhler, T. CzcR-CzcS, a Two-component System Involved in Heavy Metal and Carbapenem Resistance in Pseudomonas aeruginosa. J. Biol. Chem. 2004, 279, 8761–8768. [Google Scholar] [CrossRef] [Green Version]
  127. Ducret, V.; Gonzalez, M.; Scrignari, T.; Perron, K. OprD Repression upon Metal Treatment Requires the RNA Chaperone Hfq in Pseudomonas aeruginosa. Genes 2016, 7, 82. [Google Scholar] [CrossRef]
  128. Rensing, C.; Grass, G. Escherichia coli mechanisms of copper homeostasis in a changing environment. FEMS Microbiol. Rev. 2003, 27, 197–213. [Google Scholar] [CrossRef] [Green Version]
  129. Bondarczuk, K.; Piotrowska-Seget, Z. Molecular basis of active copper resistance mechanisms in Gram-negative bacteria. Cell Biol. Toxicol. 2013, 29, 397–405. [Google Scholar] [CrossRef] [Green Version]
  130. Lee, S.M.; Grass, G.; Rensing, C.; Barrett, S.R.; Yates, C.J.D.; Stoyanov, J.V.; Brown, N.L. The Pco proteins are involved in periplasmic copper handling in Escherichia coli. Biochem. Biophys. Res. Commun. 2002, 295, 616–620. [Google Scholar] [CrossRef]
  131. Cha, J.S.; Cooksey, D.A. Copper resistance in Pseudomonas syringae mediated by periplasmic and outer membrane proteins. Proc. Natl. Acad. Sci. USA 1991, 88, 8915–8919. [Google Scholar] [CrossRef] [Green Version]
  132. Huston, W.M.; Jennings, M.P.; McEwan, A.G. The multicopper oxidase of Pseudomonas aeruginosa is a ferroxidase with a central role in iron acquisition. Mol. Microbiol. 2002, 45, 1741–1750. [Google Scholar] [CrossRef] [Green Version]
  133. Madeira, F.; Park, Y.M.; Lee, J.; Buso, N.; Gur, T.; Madhusoodanan, N.; Basutkar, P.; Tivey, A.R.N.; Potter, S.C.; Finn, R.D.; et al. The EMBL-EBI search and sequence analysis tools APIs in 2019. Nucleic Acids Res. 2019, 47, W636–W641. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  134. Letunic, I.; Bork, P. Interactive Tree of Life (iTOL) v4: Recent updates and new developments. Nucleic Acids Res. 2019, 47, 256–259. [Google Scholar] [CrossRef] [Green Version]
  135. Ha, U.H.; Kim, J.; Badrane, H.; Jia, J.; Baker, H.V.; Wu, D.; Jin, S. An in vivo inducible gene of Pseudomonas aeruginosa encodes an anti-ExsA to suppress the type III secretion system. Mol. Microbiol. 2004, 54, 307–320. [Google Scholar] [CrossRef]
  136. Steinmetzer, K. CopR binds and bends its target DNA: A footprinting and fluorescence resonance energy transfer study. Nucleic Acids Res. 2002, 30, 2052–2060. [Google Scholar] [CrossRef]
  137. Fang, C.; Li, L.; Zhao, Y.; Wu, X.; Philips, S.J.; You, L.; Zhong, M.; Shi, X.; O’Halloran, T.V.; Li, Q.; et al. The bacterial multidrug resistance regulator BmrR distorts promoter DNA to activate transcription. Nat. Commun. 2020, 11, 1–9. [Google Scholar] [CrossRef] [PubMed]
  138. Philips, S.J.; Canalizo-Hernandez, M.; Yildirim, I.; Schatz, G.C.; Mondragón, A.; O’Halloran, T.V. Allosteric transcriptional regulation via changes in the overall topology of the core promoter. Science 2015, 349, 877–881. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  139. Puzari, M.; Chetia, P. RND efflux pump mediated antibiotic resistance in Gram-negative bacteria Escherichia coli and Pseudomonas aeruginosa: A major issue worldwide. World J. Microbiol. Biotechnol. 2017, 33, 1–8. [Google Scholar] [CrossRef] [PubMed]
  140. Colclough, A.L.; Alav, I.; Whittle, E.E.; Pugh, H.L.; Darby, E.M.; Legood, S.W.; McNeil, H.E.; Blair, J.M.A. RND efflux pumps in Gram-negative bacteria; regulation, structure and role in antibiotic resistance. Future Microbiol. 2020, 15, 143–157. [Google Scholar] [CrossRef] [PubMed]
  141. Checa, S.K.; Giri, G.F.; Espariz, M.; Argüello, J.M.; Soncini, F.C. Copper Handling in the Salmonella Cell Envelope and Its Impact on Virulence. Trends Microbiol. 2021. [Google Scholar] [CrossRef]
  142. Gabler, F.; Nam, S.Z.; Till, S.; Mirdita, M.; Steinegger, M.; Söding, J.; Lupas, A.N.; Alva, V. Protein Sequence Analysis Using the MPI Bioinformatics Toolkit. Curr. Protoc. Bioinforma. 2020, 72, 1–30. [Google Scholar] [CrossRef]
  143. Zimmermann, L.; Stephens, A.; Nam, S.Z.; Rau, D.; Kübler, J.; Lozajic, M.; Gabler, F.; Söding, J.; Lupas, A.N.; Alva, V.A. A Completely Reimplemented MPI Bioinformatics Toolkit with a New HHpred Server at its Core. J. Mol. Biol. 2018, 430, 2237–2243. [Google Scholar] [CrossRef]
  144. Hawass, Z. Hidden Treasures of the Egyptian Museum; Amercain University in Cairo Press: Cairo, Egypt, 2002. [Google Scholar]
  145. Borkow, G.; Gabbay, J. Copper, An Ancient Remedy Returning to Fight Microbial, Fungal and Viral Infections. Curr. Chem. Biol. 2009, 3, 272–278. [Google Scholar]
  146. Borkow, G.; Gabbay, J. Copper as a Biocidal Tool. Curr. Med. Chem. 2005, 12, 2163–2175. [Google Scholar] [CrossRef] [Green Version]
  147. Yamamoto, N.; Hiatt, C.W.; Haller, W. Mechanism of inactivation of bacteriophages by metals. BBA Spec. Sect. Nucleic Acids Relat. Subj. 1964, 91, 257–261. [Google Scholar] [CrossRef]
  148. Soliman, M.Y.M.; Medema, G.; Bonilla, B.E.; Brouns, S.J.J.; van Halem, D. Inactivation of RNA and DNA viruses in water by copper and silver ions and their synergistic effect. Water Res. X 2020, 9, 100077. [Google Scholar] [CrossRef] [PubMed]
  149. Schmidt, M.G.; Attaway, H.H.; Fairey, S.E.; Steed, L.L.; Michels, H.T.; Salgado, C.D. Copper Continuously Limits the Concentration of Bacteria Resident on Bed Rails within the Intensive Care Unit. Infect. Control. Hosp. Epidemiol. 2013, 34, 530–533. [Google Scholar] [CrossRef] [Green Version]
  150. Salgado, C.D.; Sepkowitz, K.A.; John, J.F.; Cantey, J.R.; Attaway, H.H.; Freeman, K.D.; Sharpe, P.A.; Michels, H.T.; Schmidt, M.G. Copper Surfaces Reduce the Rate of Healthcare-Acquired Infections in the Intensive Care Unit. Infect. Control. Hosp. Epidemiol. 2013, 34, 479–486. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  151. Marcus, E.L.; Yosef, H.; Borkow, G.; Caine, Y.; Sasson, A.; Moses, A.E. Reduction of health care–associated infection indicators by copper oxide–impregnated textiles: Crossover, double-blind controlled study in chronic ventilator-dependent patients. Am. J. Infect. Control. 2017, 45, 401–403. [Google Scholar] [CrossRef] [Green Version]
  152. Lazary, A.; Weinberg, I.; Vatine, J.J.; Jefidoff, A.; Bardenstein, R.; Borkow, G.; Ohana, N. Reduction of healthcare-associated infections in a long-term care brain injury ward by replacing regular linens with biocidal copper oxide impregnated linens. Int. J. Infect. Dis. 2014, 24, 23–29. [Google Scholar] [CrossRef] [Green Version]
  153. Vincent, M.; Duval, R.E.; Hartemann, P.; Engels-Deutsch, M. Contact killing and antimicrobial properties of copper. J. Appl. Microbiol. 2018, 124, 1032–1046. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  154. Karlsson, H.L.; Cronholm, P.; Hedberg, Y.; Tornberg, M.; De Battice, L.; Svedhem, S.; Wallinder, I. Cell membrane damage and protein interaction induced by copper containing nanoparticles-Importance of the metal release process. Toxicology 2013, 313, 59–69. [Google Scholar] [CrossRef]
  155. Pramanik, A.; Laha, D.; Bhattacharya, D.; Pramanik, P.; Karmakar, P. A novel study of antibacterial activity of copper iodide nanoparticle mediated by DNA and membrane damage. Colloids Surf. B Biointerfaces 2012, 96, 50–55. [Google Scholar] [CrossRef]
  156. Sagripanti, J.L.; Kraemer, K.H. Site-specific oxidative DNA damage at polyguanosines produced by copper plus hydrogen peroxide. J. Biol. Chem. 1989, 264, 1729–1734. [Google Scholar] [CrossRef]
  157. White, C.; Lee, J.; Kambe, T.; Fritsche, K.; Petris, M.J. A role for the ATP7A copper-transporting ATPase in macrophage bactericidal activity. J. Biol. Chem. 2009, 284, 33949–33956. [Google Scholar] [CrossRef] [Green Version]
  158. Achard, M.E.S.; Stafford, S.L.; Bokil, N.J.; Chartres, J.; Bernhardt, P.V.; Schembri, M.A.; Sweet, M.J.; McEwan, A.G. Copper redistribution in murine macrophages in response to Salmonella infection. Biochem. J. 2012, 444, 51–57. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  159. Chaturvedi, K.S.; Henderson, J.P. Pathogenic adaptations to host-derived antibacterial copper. Front. Cell Infect. Microbiol. 2014, 5, 1–12. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  160. Wang, Y.; Hodgkinson, V.; Zhu, S.; Weisman, G.A.; Petris, M.J. Advances in the Understanding of Mammalian Copper Transporters. Adv. Nutr. 2011, 2, 129–137. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  161. Dalecki, A.G.; Haeili, M.; Shah, S.; Speer, A.; Niederweis, M.; Kutsch, O.; Wolschendorf, F. Disulfiram and copper ions kill Mycobacterium tuberculosis in a synergistic manner. Antimicrob. Agents Chemother. 2015, 59, 4835–4844. [Google Scholar] [CrossRef] [Green Version]
  162. Shah, S.; Dalecki, A.G.; Malalasekera, A.P.; Crawford, C.L.; Michalek, S.M.; Kutsch, O.; Sun, J.; Bossmann, S.H.; Wolschendorf, F. 8-Hydroxyquinolines are boosting agents of copper-related toxicity in Mycobacterium tuberculosis. Antimicrob. Agents Chemother. 2016, 60, 5765–5776. [Google Scholar] [CrossRef] [Green Version]
  163. Djoko, K.Y.; Paterson, B.M.; Donnelly, P.S.; McEwan, A.G. Antimicrobial effects of copper(ii) bis(thiosemicarbazonato) complexes provide new insight into their biochemical mode of action. Metallomics 2014, 6, 854–863. [Google Scholar] [CrossRef] [Green Version]
  164. Skalka, M.; Čejková, M. DNA cleavage in chromatin spacer segments by a non-enzymic probe, 1,10-phenanthroline-copper complex. Mol. Biol. Rep. 1985, 10, 163–168. [Google Scholar] [CrossRef]
  165. Smit, H.; van Der Goot, H.; Nauta, W.T.; Timmerman, H.; de Bolster, M.W.; Jochemsen, A.G.; Stouthamer, A.H.; Vis, R.D. Mode of action of the copper(I) complex of 2,9-dimethyl-1,10-phenanthroline on Mycoplasma gallisepticum. Antimicrob. Agents Chemother. 1981, 20, 455–462. [Google Scholar] [CrossRef] [Green Version]
  166. Perrin, D.M.; Hoang, V.M.; Xu, Y.; Mazumder, A.; Sigman, D.S. Inhibitors of Escherichia coli RNA polymerase specific for the single-stranded DNA of transcription intermediates. Tetrahedral cuprous chelates of 1,10-phenanthrolines. Biochemistry 1996, 35, 5318–5326. [Google Scholar] [CrossRef]
  167. Reeder, N.L.; Kaplan, J.; Xu, J.; Youngquist, R.S.; Wallace, J.; Hu, P.; Juhlin, K.D.; Schwartz, J.R.; Grant, R.A.; Fieno, A.; et al. Zinc pyrithione inhibits yeast growth through copper influx and inactivation of iron-sulfur proteins. Antimicrob. Agents Chemother. 2011, 55, 5753–5760. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  168. Tong, F.; Zhao, Y.; Gu, X.; Gu, C.; Lee, C.C.C. Joint toxicity of tetracycline with copper(II) and cadmium(II) to Vibrio fischeri: Effect of complexation reaction. Ecotoxicology 2015, 24, 346–355. [Google Scholar] [CrossRef] [PubMed]
  169. Sousa, C.F.; Ferreira, M.; Abreu, B.; Medforth, C.J.; Gameiro, P. Interactions of a non-fluorescent fluoroquinolone with biological membrane models: A multi-technique approach. Int. J. Pharm. 2015, 495, 761–770. [Google Scholar] [CrossRef]
  170. Rafiee, F.; Haghi, F.; Bikas, R.; Heidari, A.; Gholami, M.; Kozakiewicz, A.; Zeighami, H. Synthesis, characterization and assessment of anti-quorum sensing activity of copper(II)-ciprofloxacin complex against Pseudomonas aeruginosa PAO1. AMB Express 2020, 10, 82. [Google Scholar] [CrossRef] [Green Version]
  171. Szczepanik, W.; Kaczmarek, P.; Sobczak, J.; Bal, W.; Gatner, K.; Jezowska-Bojczuk, M. Copper(II) binding by kanamycin A and hydrogen peroxide activation by resulting complexes. New J. Chem. 2002, 26, 1507–1514. [Google Scholar] [CrossRef]
  172. Albert, A. Avidity of terramycin and aureomycin for metallic cations. Nature 1953. [Google Scholar] [CrossRef]
  173. Rogolino, D.; Gatti, A.; Carcelli, M.; Pelosi, G.; Bisceglie, F.; Restivo, F.M.; Degola, F.; Buschini, A.; Montalbano, S.; Feretti, D.; et al. Thiosemicarbazone scaffold for the design of antifungal and antiaflatoxigenic agents: Evaluation of ligands and related copper complexes. Sci. Rep. 2017, 7, 1–12. [Google Scholar] [CrossRef]
  174. Hofmann, L.; Tsybovsky, Y.; Alexander, N.S.; Babino, D.; Leung, N.Y.; Montell, C.; Banerjee, S.; Von Lintig, J.; Palczewski, K. Structural Insights into the Drosophila melanogaster Retinol Dehydrogenase, a Member of the Short-Chain Dehydrogenase/Reductase Family. Biochemistry 2016, 55, 6545–6557. [Google Scholar] [CrossRef] [Green Version]
  175. Albert, A.; Rees, C.W.; Tomlinson, A.J. The influence of chemical constitution on antibacterial activity. V.I.I.I. 2-Mercaptopyridine-N-oxide, and some general observations on metalbinding agents. Br. J. Exp. Pathol. 1956, 37, 500–511. [Google Scholar]
  176. Yori, J.L.; Lozada, K.L.; Seachrist, D.D.; Mosley, J.D.; Abdul-Karim, F.W.; Booth, C.N.; Flask, C.A.; Keri, R.A. Combined SFK/mTOR Inhibition Prevents Rapamycin-Induced Feedback Activation of AKT and Elicits Efficient Tumor Regression. Cancer Res. 2014, 74, 4762–4771. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  177. Meir, A.; Lepechkin-Zilbermintz, V.; Kahremany, S.; Schwerdtfeger, F.; Gevorkyan-Airapetov, L.; Munder, A.; Viskind, O.; Gruzman, A.; Ruthstein, S. Inhibiting the copper efflux system in microbes as a novel approach for developing antibiotics. PLoS ONE 2019, 14, e0227070. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  178. Winsor, G.L.; Griffiths, E.J.; Lo, R.; Dhillon, B.K.; Shay, J.A.; Brinkman, F.S.L. Enhanced annotations and features for comparing thousands of Pseudomonasgenomes in the Pseudomonas genome database. Nucleic Acids Res. 2016, 44, D646–D653. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Proteins involved in the copper homeostasis of P. aeruginosa (Table 1). The proteins are depicted in a schematic representation. Copper is colored yellow, zinc grey, and iron red. The proteins are labeled with their name and locus tag. Where no name was available, only the locus tag is used. Genes regulated by the two transcription factors cueR and copRS are listed above the DNA. An extensive list of these proteins is found in Table 2. * indicates a potential role in copper homeostasis based on the homology alignment or structural prediction of proteins found in other pseudomonads and bacteria.
Figure 1. Proteins involved in the copper homeostasis of P. aeruginosa (Table 1). The proteins are depicted in a schematic representation. Copper is colored yellow, zinc grey, and iron red. The proteins are labeled with their name and locus tag. Where no name was available, only the locus tag is used. Genes regulated by the two transcription factors cueR and copRS are listed above the DNA. An extensive list of these proteins is found in Table 2. * indicates a potential role in copper homeostasis based on the homology alignment or structural prediction of proteins found in other pseudomonads and bacteria.
Ijms 22 02050 g001
Figure 2. (A) Schematic representation of an RND efflux pump as a tripartite system consisting of cytoplasmic membrane transporter (CMT), outer membrane factor (OMF), and membrane fusion protein (MFP). (B) Phylogenetic tree of P. aeruginosa CMT listed in [65] and E. coli cusA/czcA depicted with dashed line. (C) Phylogenetic tree of P. aeruginosa OMF listed in [65] and E. coli cusC depicted with dashed lines; no close homolog was found for czcC in E. coli. (D) Phylogenetic tree of P. aeruginosa MFP listed in [65] and E. coli cusB depicted with dashed line; no close homolog was found for czcB in E. coli. Calculated with Clustal Omega and illustrated with iTOL [133,134].
Figure 2. (A) Schematic representation of an RND efflux pump as a tripartite system consisting of cytoplasmic membrane transporter (CMT), outer membrane factor (OMF), and membrane fusion protein (MFP). (B) Phylogenetic tree of P. aeruginosa CMT listed in [65] and E. coli cusA/czcA depicted with dashed line. (C) Phylogenetic tree of P. aeruginosa OMF listed in [65] and E. coli cusC depicted with dashed lines; no close homolog was found for czcC in E. coli. (D) Phylogenetic tree of P. aeruginosa MFP listed in [65] and E. coli cusB depicted with dashed line; no close homolog was found for czcB in E. coli. Calculated with Clustal Omega and illustrated with iTOL [133,134].
Ijms 22 02050 g002
Figure 3. (A) CueR dimer with complexed Cu(I). The two metal binding sites are on top composed of two cysteine residues. The DNA binding sites are at the bottom acting as a hinge. Upon copper binding, the distance between the two hinges is reduced, resembling a clamp, which closes upon copper binding. The difference of the distance between active and repressed state was calculated between the two G11 residues. (B) Phylogenetic tree of P. aeruginosa cueR homologs and merR family members found in pathogenic bacteria. Calculated with Clustal Omega and illustrated with iTOL [133,134].
Figure 3. (A) CueR dimer with complexed Cu(I). The two metal binding sites are on top composed of two cysteine residues. The DNA binding sites are at the bottom acting as a hinge. Upon copper binding, the distance between the two hinges is reduced, resembling a clamp, which closes upon copper binding. The difference of the distance between active and repressed state was calculated between the two G11 residues. (B) Phylogenetic tree of P. aeruginosa cueR homologs and merR family members found in pathogenic bacteria. Calculated with Clustal Omega and illustrated with iTOL [133,134].
Ijms 22 02050 g003
Figure 4. Copper binding site of cusA (PDB-ID: 3T53) (A). Two models of mexQ were predicted based on the structure of cusA (PDB-ID: 3T53) in green (B) and based on the structures of the top four multidrug efflux pumps (PDB-ID: 5T0O, 4DX5, 6VKT, and 6OWS) in blue (C) [142,143]. Cu(I) is complexed by three methionine residues (Met573, Met623, and Met672), including Glu625 in E. coli cusA, illustrated in the stick representation and colored according to the elements. Corresponding residues of the mexQ models were depicted in the stick representation and colored according to the parent protein model.
Figure 4. Copper binding site of cusA (PDB-ID: 3T53) (A). Two models of mexQ were predicted based on the structure of cusA (PDB-ID: 3T53) in green (B) and based on the structures of the top four multidrug efflux pumps (PDB-ID: 5T0O, 4DX5, 6VKT, and 6OWS) in blue (C) [142,143]. Cu(I) is complexed by three methionine residues (Met573, Met623, and Met672), including Glu625 in E. coli cusA, illustrated in the stick representation and colored according to the elements. Corresponding residues of the mexQ models were depicted in the stick representation and colored according to the parent protein model.
Ijms 22 02050 g004
Table 3. Drugs that demonstrated a synergistic antimicrobial action in cooperation with copper (copperaction).
Table 3. Drugs that demonstrated a synergistic antimicrobial action in cooperation with copper (copperaction).
AntibioticMode of CopperactionReference
Ditiocarb (Disulfiram)Copper complex, bypasses the copper homeostatic machinery in Mycobacterium tuberculosis[161]
8-HydroxyquinolineCopper complex and ionophore, thus facilitates the transfer of copper across hydrophobic membranes.[162]
ThiosemicarbazonesCopper complex and ionophore, target NADPH dehydrogenases[163]
PhenanthrolineCopper complex with nuclease activity of mainly double-stranded DNA, some interference with respiration and inhibition of RNA polymerase[164,165,166]
PyrithioneCopper complex and ionophore, facilitates copper influx[167]
TetracyclineCopper complex formation shows an antagonistic effect while complex formation with Cd(II) exhibits a synergistic effect[168]
FluoroquinoloneCopper complex formation but with only minor antimicrobial effect, facilitates the transfer of copper across hydrophobic membranes[169,170]
AminoglycosideA weak copper complex formation that is not physiologically relevant, maybe a potential role in DNA damage and formation of reactive oxygen species[171]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Hofmann, L.; Hirsch, M.; Ruthstein, S. Advances in Understanding of the Copper Homeostasis in Pseudomonas aeruginosa. Int. J. Mol. Sci. 2021, 22, 2050. https://doi.org/10.3390/ijms22042050

AMA Style

Hofmann L, Hirsch M, Ruthstein S. Advances in Understanding of the Copper Homeostasis in Pseudomonas aeruginosa. International Journal of Molecular Sciences. 2021; 22(4):2050. https://doi.org/10.3390/ijms22042050

Chicago/Turabian Style

Hofmann, Lukas, Melanie Hirsch, and Sharon Ruthstein. 2021. "Advances in Understanding of the Copper Homeostasis in Pseudomonas aeruginosa" International Journal of Molecular Sciences 22, no. 4: 2050. https://doi.org/10.3390/ijms22042050

APA Style

Hofmann, L., Hirsch, M., & Ruthstein, S. (2021). Advances in Understanding of the Copper Homeostasis in Pseudomonas aeruginosa. International Journal of Molecular Sciences, 22(4), 2050. https://doi.org/10.3390/ijms22042050

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop