The DOI matches its Crossref record; 94 of the 94 references it cites were found in a registry or an index.
Copper resistance mechanisms in bacteria and fungi
Open accessAbstract
Copper is both an essential micronutrient and a toxic heavy metal for most living cells. The presence of high concentrations of cupric ions in the environment promotes the selection of microorganisms possessing genetic determinants for copper resistance. Several examples of chromosomal and plasmid copper-resistance systems in bacteria have been reported, and the mechanisms of resistance have started to be understood at the molecular level. Bacterial mechanisms of copper resistance are related to reduced copper transport, enhanced efflux of cupric ions, or copper complexation by cell components. Copper tolerance in fungi has also been ascribed to diverse mechanisms involving trapping of the metal by cell-wall components, altered uptake of copper, extracellular chelation or precipitation by secreted metabolites, and intracellular complexing by metallothioneins and phytochelatins; only the metallothionein chelation mechanism has been approached with molecular detail.
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Cited by
Pathogenic adaptations to host-derived antibacterial copper
Chaturvedi, K. S., & Henderson, J. P. (2014) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2014.00003 · Cited by 134
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Kartal, S. N., Terzi, E., Yılmaz, H., & Goodell, B. (2015) · International Biodeterioration & Biodegradation · doi:10.1016/j.ibiod.2015.01.004 · Cited by 74
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Metadata
- Authors
- Cervantes, C.
- Venue
- FEMS Microbiology Reviews
- Publisher
- Wiley
- Published
- 1994-06
- Volume
- 14
- Issue
- 2
- Pages
- 121-137
- ISSN
- 0168-6445 (ISSN-L)
- OpenAlex
- W2096586338
- Cited by
- 391
- References
- 94
- FWCI
- 5.51
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.