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Journal of Bacteriology logoLink to Journal of Bacteriology
. 2013 Oct;195(20):4553–4555. doi: 10.1128/JB.00891-13

Lability and Liability of Endogenous Copper Pools

F Wayne Outten a, George P Munson b,
PMCID: PMC3807436  PMID: 23913325

TEXT

Although the genome of Escherichia coli K-12 encodes just a few copper-containing enzymes, this transition metal is critical for the bacterium to derive energy from oxygen reduction and to protect itself from injury (1). For example, the CuB site within cytochrome bo oxidase facilitates the flow of electrons from ubiquinol to oxygen during aerobic respiration. A putative copper-binding site with cupric reductase activity has also been identified within NADH dehydrogenase II, but this site may involve an adventitious activity rather than a bona fide role for the enzyme in copper homeostasis (2). More certain is the role of copper within TynA, a periplasmic monoamine oxidase that allows the cell to use phenylethylamine as its sole carbon and energy source (3). The homodimeric enzyme contains two copper atoms that facilitate autocatalytic generation of the enzyme's cofactor (4, 5). Damaging reactive oxygen intermediates, such as those generated by the oxidative burst of professional phagocytes, are detoxified in the periplasm by Cu,Zn superoxide dismutase (6). Periplasmic Cu(I) is oxidized to the less toxic Cu(II) by CueO, a multicopper oxidase (7).

Despite the utility of copper in enzymatic reaction centers, at least two factors may have selected against its usage. The first involves the limited bioavailability of copper necessitating competition between commensal E. coli, other microflora residing within the intestinal lumen, and the mammalian host, for which copper is an essential micronutrient. Indeed, agricultural settings are likely to be among the few ecological niches where the bacterium may encounter an abundance of copper, because copper salts have been used as both a feed additive and fungicide (8). Even within the laboratory, the trace amounts of copper present in culture media are suboptimal for growth, and the concentration of copper within the bacterium exceeds that of its environment (9, 10). Under such copper starvation conditions, this cellular copper is thought to be tightly sequestered within enzymatic reaction centers (11). However, that view may require revision in light of the accompanying article by Fung et al., which suggests that the cell maintains a labile pool of copper ions that flux in response to nutritional status and environmental conditions (12).

As demonstrated by Fung et al., the maintenance of an endogenous pool of copper is not without costs; like most transition metals (essential and nonessential), copper can be toxic in vivo. Thus, toxicity is the second factor that may limit copper's biological use. Despite early hypotheses about copper toxicity that focused on the ability of Cu(I) to generate reactive oxygen species (ROS), it has become clear that much of the copper toxicity in E. coli is actually due to disruption of iron metabolism via non-ROS mechanisms (13, 14). In fact, the toxicity of copper increases under anaerobic conditions, when there is no oxygen available for ROS generation (13). The most sensitive target of copper toxicity appears to be iron-sulfur (Fe-S) cluster metabolism, both at the stage of Fe-S cluster biogenesis as well as via disruption of mature Fe-S cluster-containing metalloenzymes (13, 15). Furthermore, the most toxic oxidation state of copper appears to be Cu(I), which likely predominates in the reducing environment of the cell, especially under anaerobic conditions (16). Much of the Cu(I) toxicity likely stems from its thiolphilic nature, which allows it to directly displace other metal ions, such as iron, that are bound less tightly to thiolate or sulfide ligands, as predicted by the Irving-Williams series.

To combat copper toxicity, E. coli utilizes an efflux strategy to remove excess copper from the cytoplasm via CopA, a P-type ATPase efflux pump. Full functionality of the CopA system depends on a periplasmic multicopper oxidase, CueO, that may oxidize Cu(I) as a substrate in addition to using copper ions as cofactors (7). The expression of both CopA and CueO is regulated by the Cu(I)-dependent activator CueR (17).

Supplementing CopA is CusCBA, a tripartite RND transport system that spans the cell envelope and clears Cu(I) from the cytoplasm or, with the assistance of CusF, from the periplasmic compartment (18). In contrast to CopA, the CusCFBA system relies on the proton motive force to drive copper efflux, and transcription of cusCFBA is dependent upon a two-component regulatory system consisting of CusR and CusS (19). The signal cascade is initiated by Cu(I), which is presumably detected by a periplasmic sensor domain of CusS (20). The signal is then transmitted across the cytoplasmic membrane via CusS-dependent phosphorylation of the response regulator CusR, followed by activation of the cusC promoter, PcusC. Although the addition of exogenous copper ions is known to activate the CusRS system, Fung et al. observed activation of PcusC in anaerobic cultures deprived of amino acids that was independent of exogenous copper. They attributed this effect to an endogenous pool of Cu(I), because it was suppressed by the membrane-permeable Cu(I) chelator neocuproine but not by bathocuproine, a membrane-impermeable derivative. In addition, the sulfur-containing amino acids methionine and cysteine were shown to suppress the anaerobic activation of PcusC, suggesting a potential role for these amino acids in the maintenance of endogenous pools of copper ions.

Intriguingly, Fung et al. also found that anaerobic, amino acid-deprived conditions compromised the growth of copA and/or cusC mutants on fumarate. Through a series of logical experiments, the authors were able to demonstrate that the growth defect was due to inactivation of fumarate reductase (Frd), a critical enzyme for anaerobic fumarate respiration that contains three Fe-S clusters. Fung et al. also demonstrated copper-specific auxotrophies for amino acids that require Fe-S cluster dehydratase enzymes under anaerobic amino acid-limited conditions. These startling phenotypes indicate that fluxes in endogenous copper pools are sufficient to poison Fe-S cluster metabolism under anaerobic conditions when amino acids are limiting. Such an effect was further supported by the observed induction of the sufABCDSE stress response Fe-S cluster biogenesis pathway under these conditions. The Suf Fe-S cluster biogenesis pathway is only utilized under conditions that perturb the normal housekeeping Fe-S cluster pathway, which is encoded by iscRSUA-hscBA-fdx-iscX (21).

These results further illustrated a complication stemming from the ecological niche of E. coli and its ability to grow as a facultative anaerobe in the absence of oxygen as a terminal electron acceptor. The majority of the copper-containing enzymes characterized in E. coli are utilized under aerobic conditions (cytochrome bo, Cu,Zn superoxide dismutase, and CueO) and are not expressed under anaerobic conditions (1). However, E. coli can grow quite productively in the absence of oxygen by fermenting or by utilizing alternate electron acceptors, such as fumarate, that contain their own specific terminal oxidases, none of which appear to utilize copper as a cofactor. Thus, one might expect that the cell's anaerobic copper quota would be diminished relative to that under aerobic conditions. Remarkably, Fung et al. found that anaerobically cultured bacteria accumulated the same amount of copper as those cultured aerobically. However, anaerobic copper accumulation was dependent on the presence of Casamino Acids. In the absence of Casamino Acids, anaerobically cultured cells accumulated significantly less copper than those cultured with Casamino Acids.

What explains the decreased cellular copper content of cells from media lacking amino acids and how do amino acids affect copper homeostasis? Several observations by Fung et al. provided answers, beginning with their observation that the cusC promoter is activated under anaerobic conditions. This suggests that CusS senses a flux in endogenous copper pools that occurs under amino acid limitation in the absence of oxygen. In response, CusS stimulates CusR and increases transcription from PcusC. An increase in CusCFBA-dependent efflux of Cu(I) could account for the lower level of intracellular copper observed under this growth condition compared to growth in Casamino Acids. To test this hypothesis, Fung et al. measured copper accumulation of cusC and cusCFBA deletion mutants. As expected, they found that the deletion mutants grown without Casamino Acids retained as much copper as wild-type cells grown in medium supplemented with Casamino Acids. Taken together, these observations suggest that the cell maintains a reservoir of copper ions that is dependent on free amino acids, specifically, the sulfur-containing amino acids methionine and cysteine.

The possibility of a labile pool of copper ions challenges the conventional wisdom that nearly all cellular copper is tightly sequestered within enzymatic reaction centers. However, the conclusions drawn by Fung et al. are bolstered by the transcriptomic study of Tagkopoulos et al., which revealed that an oxygen downshift induces cusC expression within 12 min (NCBI GEO Datasets accession number GSE10855) (22). An inverse trend, that of decreased expression of cusC, is observed within minutes of an oxygen upshift. Since it is highly improbable that copper is alternately released and sequestered by copper-containing enzymes on this time scale, these studies provided additional evidence for a labile pool of cellular copper.

However, a number of questions remain to be answered about this endogenous copper pool. First, where is it localized? Activation of PcusC suggests the periplasmic compartment, because CusS is thought to detect Cu(I) via a periplasmic sensor domain. As proposed by Fung et al., it is also possible that CusS detects Cu(I) after CopA-dependent efflux from a cytoplasmic pool. Indeed, damage of Fe-S clusters would not be possible in the absence of cytoplasmic Cu(I), since cytoplasmic Fe-S-dependent dehydratase enzymes are the most sensitive targets of copper toxicity. Unfortunately, this does not exclude the possibility that Cu(I) enters the cytoplasm after reduction of a periplasmic pool of Cu(II). Second, how does copper speciation change under anaerobic, amino acid-limited conditions? One would predict that Cu(II) pools would rapidly shift to Cu(I) in the absence of oxygen, and this was supported by the transcriptomic study described above. The lack of copper-chelating amino acids could further exacerbate the change in copper speciation or the bioavailability of copper under these conditions. The specific disruption of Fe-S cluster metabolism under anaerobic and amino acid-limited conditions also supports a change in copper speciation, since Cu(I) is more potent than Cu(II) with regard to toxic effects. Third, what is the ligand(s) for the endogenous pool of copper? The work by Fung and colleagues clearly implicated methionine and cysteine as candidate low-molecular-weight ligands for copper under anaerobic conditions, because either of these amino acids could inhibit Cu(I)-dependent activation of PcusC. This may involve Met and/or Cys sequestration of Cu(I), thus denying CusS its metal ligand. Alternatively, an indirect mechanism may be responsible for the effect. Despite these and other questions, the work of Fung et al. provides a new perspective for copper homeostasis that will no doubt generate considerable conversation within the field of metal ion metabolism.

Footnotes

Published ahead of print 2 August 2013

The views expressed in this Commentary do not necessarily reflect the views of the journal or of ASM.

REFERENCES

  • 1.Keseler IM, Mackie A, Peralta-Gil M, Santos-Zavaleta A, Gama-Castro S, Bonavides-Martinez C, Fulcher C, Huerta AM, Kothari A, Krummenacker M, Latendresse M, Muniz-Rascado L, Ong Q, Paley S, Schroder I, Shearer AG, Subhraveti P, Travers M, Weerasinghe D, Weiss V, Collado-Vides J, Gunsalus RP, Paulsen I, Karp PD. 2013. EcoCyc: fusing model organism databases with systems biology. Nucleic Acids Res. 41:D605–D612 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Rapisarda VA, Chehin RN, De Las Rivas J, Rodriguez-Montelongo L, Farias RN, Massa EM. 2002. Evidence for Cu(I)-thiolate ligation and prediction of a putative copper-binding site in the Escherichia coli NADH dehydrogenase-2. Arch. Biochem. Biophys. 405:87–94 [DOI] [PubMed] [Google Scholar]
  • 3.Parrott S, Jones S, Cooper RA. 1987. 2-Phenylethylamine catabolism by Escherichia coli K12. J. Gen. Microbiol. 133:347–351 [DOI] [PubMed] [Google Scholar]
  • 4.Matsuzaki R, Fukui T, Sato H, Ozaki Y, Tanizawa K. 1994. Generation of the topa quinone cofactor in bacterial monoamine oxidase by cupric ion-dependent autooxidation of a specific tyrosyl residue. FEBS Lett. 351:360–364 [DOI] [PubMed] [Google Scholar]
  • 5.Parsons MR, Convery MA, Wilmot CM, Yadav KD, Blakeley V, Corner AS, Phillips SE, McPherson MJ, Knowles PF. 1995. Crystal structure of a quinoenzyme: copper amine oxidase of Escherichia coli at 2 Å resolution. Structure 3:1171–1184 [DOI] [PubMed] [Google Scholar]
  • 6.Battistoni A, Donnarumma G, Greco R, Valenti P, Rotilio G. 1998. Overexpression of a hydrogen peroxide-resistant periplasmic Cu,Zn superoxide dismutase protects Escherichia coli from macrophage killing. Biochem. Biophys. Res. Commun. 243:804–807 [DOI] [PubMed] [Google Scholar]
  • 7.Singh SK, Roberts SA, McDevitt SF, Weichsel A, Wildner GF, Grass GB, Rensing C, Montfort WR. 2011. Crystal structures of multicopper oxidase CueO bound to copper(I) and silver(I): functional role of a methionine-rich sequence. J. Biol. Chem. 286:37849–37857 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.U.S. Department of Agriculture 2006. Agricultural chemical usage 2005 field crops summary. USDA National Agricultural Statistics Service, Washington, DC [Google Scholar]
  • 9.Nies DH, Herzberg M. 2013. A fresh view of the cell biology of copper in enterobacteria. Mol. Microbiol. 87:447–454 [DOI] [PubMed] [Google Scholar]
  • 10.Outten CE, O'Halloran TV. 2001. Femtomolar sensitivity of metalloregulatory proteins controlling zinc homeostasis. Science 292:2488–2492 [DOI] [PubMed] [Google Scholar]
  • 11.Nies DH. 2007. Bacterial transition metal homeostasis, p 117–142 In Nies DH, Silver S. (ed), Molecular microbiology of heavy metals. Springer, New York, NY [Google Scholar]
  • 12.Fung DKC, Lau WY, Chan WT, Yan A. 2013. Copper efflux is induced during anaerobic amino acid limitation in Escherichia coli to protect iron-sulfur cluster enzymes and biogenesis. J. Bacteriol. 195:4556–4568 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Macomber L, Imlay JA. 2009. The iron-sulfur clusters of dehydratases are primary intracellular targets of copper toxicity. Proc. Natl. Acad. Sci. U. S. A. 106:8344–8349 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Macomber L, Rensing C, Imlay JA. 2007. Intracellular copper does not catalyze the formation of oxidative DNA damage in Escherichia coli. J. Bacteriol. 189:1616–1626 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Chillappagari S, Seubert A, Trip H, Kuipers OP, Marahiel MA, Miethke M. 2010. Copper stress affects iron homeostasis by destabilizing iron-sulfur cluster formation in Bacillus subtilis. J. Bacteriol. 192:2512–2524 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Outten FW, Huffman DL, Hale JA, O'Halloran TV. 2001. The independent cue and cus systems confer copper tolerance during aerobic and anaerobic growth in Escherichia coli. J. Biol. Chem. 276:30670–30677 [DOI] [PubMed] [Google Scholar]
  • 17.Outten FW, Outten CE, Hale J, O'Halloran TV. 2000. Transcriptional activation of an Escherichia coli copper efflux regulon by the chromosomal MerR homologue, cueR. J. Biol. Chem. 275:31024–31029 [DOI] [PubMed] [Google Scholar]
  • 18.Su CC, Long F, Yu EW. 2011. The Cus efflux system removes toxic ions via a methionine shuttle. Protein Sci. 20:6–18 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Munson GP, Lam DL, Outten FW, O'Halloran TV. 2000. Identification of a copper-responsive two-component system on the chromosome of Escherichia coli K-12. J. Bacteriol. 182:5864–5871 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Gudipaty SA, Larsen AS, Rensing C, McEvoy MM. 2012. Regulation of Cu(I)/Ag(I) efflux genes in Escherichia coli by the sensor kinase CusS. FEMS Microbiol. Lett. 330:30–37 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Roche B, Aussel L, Ezraty B, Mandin P, Py B, Barras F. 2013. Iron/sulfur proteins biogenesis in prokaryotes: formation, regulation and diversity. Biochim. Biophys. Acta 1827:455–469 [DOI] [PubMed] [Google Scholar]
  • 22.Tagkopoulos I, Liu YC, Tavazoie S. 2008. Predictive behavior within microbial genetic networks. Science 320:1313–1317 [DOI] [PMC free article] [PubMed] [Google Scholar]

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