How Far Are We from Predicting the Evolution of Antibiotic Resistance?
A special issue of Antibiotics (ISSN 2079-6382). This special issue belongs to the section "Mechanism and Evolution of Antibiotic Resistance".
Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 13284
Special Issue Editor
Interests: experimental evolution; microbial genomics; microbial genetics; regulation of gene expression; microbiology
Special Issue Information
Dear Colleagues,
Far from being a science of the past, microbial evolution is continuously impacting human health through the emergence of microbial drug resistance, new viral strains, and invasive species, as well as affecting biotechnological and industrial processes.
Currently, we are only able to monitor evolutionary changes after their occurrence. Improving the prediction of microbial evolution is essential for fighting diseases and pests, anticipating environmental changes, and avoiding the emergence of antibiotic resistance. Predictability is a long-standing dream of evolutionary biologists, and has now become an essential topic in medicine, including in the context of antibiotic resistance emergence.
The prediction of evolution is difficult, firstly, because it relies on random events and secondly, because of the high dimensionality of genomes and the multitude of interactions between genes, proteins, metabolites, and environmental factors, including resources. However, recent progress, based for instance on experimental evolution, genomics and modelling approaches, has been achieved in the potential prediction of the emergence of antibiotic resistance and the discovery of new molecules.
The Special Issue of Antibiotics aims to collect research or review papers which are relevant to the topic we mentioned above.Dr. Dominique Schneider
Guest Editor
Manuscript Submission Information
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Keywords
- antibiotic resistance
- experimental evolution
- prediction of evolution
- modelling
- fitness cost
- genomics
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