High potency of sequential therapy with only beta-lactam antibiotics
- Kiel University, Germany
- University of Kiel, Germany
- Borstel Research Centre, Germany
Abstract
Evolutionary adaptation is a major source of antibiotic resistance in bacterial pathogens. Evolution-informed therapy aims to constrain resistance by accounting for bacterial evolvability. Sequential treatments with antibiotics that target different bacterial processes were previously shown to limit adaptation through genetic resistance trade-offs and negative hysteresis. Treatment with homogeneous sets of antibiotics is generally viewed to be disadvantageous, as it should rapidly lead to cross-resistance. We here challenged this assumption by determining the evolutionary response of Pseudomonas aeruginosa to experimental sequential treatments involving both heterogenous and homogeneous antibiotic sets. To our surprise, we found that fast switching between only β-lactam antibiotics resulted in increased extinction of bacterial populations. We demonstrate that extinction is favored by low rates of spontaneous resistance emergence and low levels of spontaneous cross-resistance among the antibiotics in sequence. The uncovered principles may help to guide the optimized use of available antibiotics in highly potent, evolution-informed treatment designs.
Data availability
Sequencing data have been deposited at NCBI under the BioProject number: PRJNA704789. All other data is provided in the supplementary source data files.
-
Cellular hysteresis as a principle to maximize the efficacy of antibiotic therapy - Results on extinction frequencieshttps://doi.org/10.1073/pnas.1810004115.
Article and author information
Author details
Hinrich Schulenburg
Funding
Deutsche Forschungsgemeinschaft (SCHU 1415/12)
- Hinrich Schulenburg
Deutsche Forschungsgemeinschaft (EXC 2167-390884018)
- Stefan Niemann
- Hinrich Schulenburg
Deutsche Forschungsgemeinschaft (GRK 2501)
- Stefan Niemann
- Hinrich Schulenburg
Max-Planck-Gesellschaft (IMPRS Stipend)
- Aditi Batra
Max-Planck-Gesellschaft (Fellowship)
- Hinrich Schulenburg
Leibniz-Gemeinschaft (EvoLUNG)
- Stefan Niemann
- Hinrich Schulenburg
Deutsche Forschungsgemeinschaft (project 407495230)
- Sören Franzenburg
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Copyright
© 2021, Batra et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
Metrics
-
- 3,648
- views
-
- 410
- downloads
-
- 35
- citations
Views, downloads and citations are aggregated across all versions of this paper published by eLife.
Download links
A two-part list of links to download the article, or parts of the article, in various formats.
Downloads (link to download the article as PDF)
Open citations (links to open the citations from this article in various online reference manager services)
Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)
High potency of sequential therapy with only beta-lactam antibiotics
eLife 10:e68876.
https://doi.org/10.7554/eLife.68876
Further reading
-
- Evolutionary Biology
- Epidemiology and Global Health
- Microbiology and Infectious Disease
- Genetics and Genomics
eLife is pleased to present a Special Issue to highlight recent advances in the growing and increasingly interdisciplinary field of evolutionary medicine.
-
- Evolutionary Biology
- Medicine
Male germ cells share a common origin across animal species, therefore they likely retain a conserved genetic program that defines their cellular identity. However, the unique evolutionary dynamics of male germ cells coupled with their widespread leaky transcription pose significant obstacles to the identification of the core spermatogenic program. Through network analysis of the spermatocyte transcriptome of vertebrate and invertebrate species, we describe the conserved evolutionary origin of metazoan male germ cells at the molecular level. We estimate the average functional requirement of a metazoan male germ cell to correspond to the expression of approximately 10,000 protein-coding genes, a third of which defines a genetic scaffold of deeply conserved genes that has been retained throughout evolution. Such scaffold contains a set of 79 functional associations between 104 gene expression regulators that represent a core component of the conserved genetic program of metazoan spermatogenesis. By genetically interfering with the acquisition and maintenance of male germ cell identity, we uncover 161 previously unknown spermatogenesis genes and three new potential genetic causes of human infertility. These findings emphasize the importance of evolutionary history on human reproductive disease and establish a cross-species analytical pipeline that can be repurposed to other cell types and pathologies.
