Toward a quantitative understanding of antibiotic resistance evolution Review Article

Author(s): Lukačišinová, Marta; Bollenbach, Tobias
Title: Toward a quantitative understanding of antibiotic resistance evolution
Title Series: Systems Biology
Affiliation IST Austria
Abstract: The rising prevalence of antibiotic resistant bacteria is an increasingly serious public health challenge. To address this problem, recent work ranging from clinical studies to theoretical modeling has provided valuable insights into the mechanisms of resistance, its emergence and spread, and ways to counteract it. A deeper understanding of the underlying dynamics of resistance evolution will require a combination of experimental and theoretical expertise from different disciplines and new technology for studying evolution in the laboratory. Here, we review recent advances in the quantitative understanding of the mechanisms and evolution of antibiotic resistance. We focus on key theoretical concepts and new technology that enables well-controlled experiments. We further highlight key challenges that can be met in the near future to ultimately develop effective strategies for combating resistance.
Publication Title: Current Opinion in Biotechnology
Volume: 46
ISBN: 0958-1669
Publisher: Elsevier  
Date Published: 2017-08-01
Start Page: 90
End Page: 97
Copyright Statement: CC BY-NC-ND
DOI: 10.1016/j.copbio.2017.02.013
Notes: We thank Michael Baym for sharing Figure 1b, Karin Mitosch, Tiago Paixão, and Marcin Zagorski for feedback on the manuscript, and all members of the Bollenbach lab for fruitful discussions. This work was supported in part by Austrian Science Fund (FWF) Grant No. P 27201-B22, HFSP program Grant No. RGP0042/2013, and Marie Curie Career Integration Grant No. 303507.
Open access: yes (OA journal)