Physiological cost of antibiotic resistance: Insights from a ribosome variant in bacteria

Antibiotic-resistant ribosome variants arise spontaneously in bacterial populations; however, their impact on the overall bacterial physiology remains unclear. We studied the naturally arising antibiotic-resistant L22* ribosome variant of <i>Bacillus subtilis</i> and identified a Mg<sup>2+</sup>-dependent physiological cost. Coculture competition experiments show that Mg<sup>2+</sup> limitation hinders the growth of the L22* variant more than the wild type (WT), even under antibiotic pressure. This growth disadvantage of L22* cells is not due to lower ribosome abundance but rather due to reduced intracellular Mg<sup>2+</sup> levels. Coarse-grained elastic-network modeling of ribosome conformational dynamics suggests that L22* ribosomes associate more tightly with Mg<sup>2+</sup> when compared to WT. We combined the structural modeling and experimental measurements in a steady-state model to predict cellular adenosine 5'-triphosphate (ATP) levels, which also depend on Mg<sup>2+</sup>. Experiments confirmed a predicted ATP drop in L22* cells under Mg<sup>2+</sup> limitation, while WT cells were less affected. Intracellular competition for a finite Mg<sup>2+</sup> pool can thus suppress the establishment of an antibiotic-resistant ribosome variant.

Authors

Institutions

Publication Details

Journal
Science Advances
Published
2024-11-15
DOI
https://doi.org/10.1126/sciadv.adq5249
Citations
8
Primary Topic
RNA and protein synthesis mechanisms
Type
article
Field-Weighted Citation Impact
1.87

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Physiological cost of antibiotic resistance: Insights from a ribosome variant in bacteria

Eun Chae Moon, Dong-yeon D. Lee, Gürol M. Süel, S. Banu Ozkan et al.
8 citations
Science Advances
RNA and protein synthesis mechanisms
1.87
article

Physiological cost of antibiotic resistance: Insights from a ribosome variant in bacteria

Eun Chae Moon, Dong-yeon D. Lee, Gürol M. Süel, S. Banu Ozkan, Jordi García‐Ojalvo, Tushar Modi, Danis Yangaliev
article en
8 citations

Abstract

Antibiotic-resistant ribosome variants arise spontaneously in bacterial populations; however, their impact on the overall bacterial physiology remains unclear. We studied the naturally arising antibiotic-resistant L22* ribosome variant of <i>Bacillus subtilis</i> and identified a Mg<sup>2+</sup>-dependent physiological cost. Coculture competition experiments show that Mg<sup>2+</sup> limitation hinders the growth of the L22* variant more than the wild type (WT), even under antibiotic pressure. This growth disadvantage of L22* cells is not due to lower ribosome abundance but rather due to reduced intracellular Mg<sup>2+</sup> levels. Coarse-grained elastic-network modeling of ribosome conformational dynamics suggests that L22* ribosomes associate more tightly with Mg<sup>2+</sup> when compared to WT. We combined the structural modeling and experimental measurements in a steady-state model to predict cellular adenosine 5'-triphosphate (ATP) levels, which also depend on Mg<sup>2+</sup>. Experiments confirmed a predicted ATP drop in L22* cells under Mg<sup>2+</sup> limitation, while WT cells were less affected. Intracellular competition for a finite Mg<sup>2+</sup> pool can thus suppress the establishment of an antibiotic-resistant ribosome variant.

Science AdvancesVol. 10(46)
University of San Diego (US), Universitat Pompeu Fabra (ES), Barcelona Biomedical Research Park (ES), University of California San Diego (US), San Diego Biomedical Research Institute (US), Arizona State University (US), Stanford University (US)
National Science Foundation, Bill and Melinda Gates Foundation, Gordon and Betty Moore Foundation, Ministerio de Ciencia, Innovación y Universidades, Generalitat de Catalunya, National Institute of General Medical Sciences, Division of Molecular and Cellular Biosciences, Army Research Office
Responsible consumption and production
Openalex Percentile: Top 14%
RNA and protein synthesis mechanisms
1.87
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.