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Evolution, Medicine and Public Health
Article . 2014 . Peer-reviewed
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Evolution, Medicine and Public Health
Article
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PubMed Central
Other literature type . 2014
License: CC BY
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https://dx.doi.org/10.5167/uzh...
Other literature type . 2014
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'Evolution-Proofing' Antibacterials

Authors: Ross-Gillespie Adin; Kümmerli Rolf;

'Evolution-Proofing' Antibacterials

Abstract

When antibiotics first came into use, they were so effective at curbing bacterial infections that it seemed the age-old battle of man vs. microbe would soon be at an end [1]. Eighty years and dozens of drugs later, we now know better. Following each new antibiotic’s launch, reports soon accumulated that once-treatable infections were becoming refractory to the drug [2]. Nowadays, many infectious strains are already resistant to multiple antibiotics [3]. Treating such cases is becoming more and more difficult, expensive and risky. Meanwhile, the supply of new antibiotics hasstalled.All thisaddsuptoamajorglobal crisis. It is already underway, and it is worsening every day [3]. The rise of resistance is simply adaptation—evolution in action. Bacteria’s large populations and their proclivity for swapping genes mean that mutants arise regularly, and thereafter, the fittest mutants spread through natural selection. So is resistance wholly inevitable? Not necessarily! Evolutionary theory not only explains why resistance occurs but it also offers clues as to how we might be able to prevent it—or at least slow it. Evolutionary perspectives

Country
Switzerland
Keywords

1105 Ecology, Evolution, Behavior and Systematics, 10126 Department of Plant and Microbial Biology, 2307 Health, Toxicology and Mutagenesis, 2701 Medicine (miscellaneous), 580 Plants (Botany), Clinical Briefs

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Average
Green
gold