The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Comparative Genomic Analyses of Copper Transporters and Cuproproteomes Reveal Evolutionary Dynamics of Copper Utilization and Its Link to Oxygen
Open accessAbstract
Copper is an essential trace element in many organisms and is utilized in all domains of life. It is often used as a cofactor of redox proteins, but is also a toxic metal ion. Intracellular copper must be carefully handled to prevent the formation of reactive oxygen species which pose a threat to DNA, lipids, and proteins. In this work, we examined patterns of copper utilization in prokaryotes by analyzing the occurrence of copper transporters and copper-containing proteins. Many organisms, including those that lack copper-dependent proteins, had copper exporters, likely to protect against copper ions that inadvertently enter the cell. We found that copper use is widespread among prokaryotes, but also identified several phyla that lack cuproproteins. This is in contrast to the use of other trace elements, such as selenium, which shows more scattered and reduced usage, yet larger selenoproteomes. Copper transporters had different patterns of occurrence than cuproproteins, suggesting that the pathways of copper utilization and copper detoxification are independent of each other. We present evidence that organisms living in oxygen-rich environments utilize copper, whereas the majority of anaerobic organisms do not. In addition, among copper users, cuproproteomes of aerobic organisms were larger than those of anaerobic organisms. Prokaryotic cuproproteomes were small and dominated by a single protein, cytochrome c oxidase. The data are consistent with the idea that proteins evolved to utilize copper following the oxygenation of the Earth.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Zelko, I. N., Mariani, T. J., & Folz, R. J. (2002) · Free Radical Biology and Medicine · doi:10.1016/s0891-5849(02)00905-x · Cited by 2,212
Toward Automatic Reconstruction of a Highly Resolved Tree of Life
Ciccarelli, F. D., Doerks, T., von Mering, C., Creevey, C. J., Snel, B., & Bork, P. (2006) · Science · doi:10.1126/science.1123061 · Cited by 1,663
Dating the rise of atmospheric oxygen
Bekker, A., Holland, H. D., Wang, P.-L., Rumble, D., Stein, H. J., Hannah, J. L., Coetzee, L. L., & Beukes, N. J. (2004) · Nature · doi:10.1038/nature02260 · Cited by 1,435 · cited 1×
“32 billion years ago had sharply risen [38].”
BackgroundSaito, M. A., Sigman, D. M., & Morel, F. M. M. (2003) · Inorganica Chimica Acta · doi:10.1016/s0020-1693(03)00442-0 · Cited by 440
Cited by
New Roles for Copper Metabolism in Cell Proliferation, Signaling, and Disease
Turski, M. L., & Thiele, D. J. (2009) · Journal of Biological Chemistry · doi:10.1074/jbc.r800055200 · Cited by 422
Coordination chemistry of copper proteins: How nature handles a toxic cargo for essential function
Rubino, J. T., & Franz, K. J. (2012) · Journal of Inorganic Biochemistry · doi:10.1016/j.jinorgbio.2011.11.024 · Cited by 371
Bernal, M., Casero, D., Singh, V., Wilson, G. T., Grande, A., Yang, H., Dodani, S. C., Pellegrini, M., Huijser, P., Connolly, E. L., et al. (2012) · The Plant Cell · doi:10.1105/tpc.111.090431 · Cited by 323
Copper in Microbial Pathogenesis: Meddling with the Metal
Samanovic, M. I., Ding, C., Thiele, D. J., & Darwin, K. H. (2012) · Cell Host & Microbe · doi:10.1016/j.chom.2012.01.009 · Cited by 278
Copper and Iron Homeostasis in Plants: The Challenges of Oxidative Stress
Ravet, K., & Pilon, M. (2013) · Antioxidants & Redox Signaling · doi:10.1089/ars.2012.5084 · Cited by 260
Metadata
- Authors
- Ridge, P. G., Zhang, Y., & Gladyshev, V. N.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2008-01-02
- Volume
- 3
- Issue
- 1
- Pages
- e1378
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W1977316589
- Cited by
- 199
- References
- 4
- FWCI
- 9.14
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Comparative Genomic Analyses of Copper Transporters and Cuproproteomes Reveal Evolutionary Dynamics of Copper Utilization and Its Link to Oxygen. https://app.cochat.ai/papers/10.1371/journal.pone.0001378
- The paper
- Ridge, P. G., Zhang, Y., & Gladyshev, V. N. (2008). Comparative Genomic Analyses of Copper Transporters and Cuproproteomes Reveal Evolutionary Dynamics of Copper Utilization and Its Link to Oxygen. PLoS ONE. https://doi.org/10.1371/journal.pone.0001378
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.