CRISPRi screening reveals <i>E. coli</i> ’s anaerobic-like respiratory adaptations to gentamicin: membrane depolarization by CpxR

Bacterial genes serve diverse cellular functions and many affect fitness in response to environmental challenges. We employed CRISPR interference screening to investigate the fitness effect of each gene in <i>Escherichia coli</i> exposed to gentamicin, aiming to understand the cellular defense mechanisms. Our findings revealed that ribosomal proteins, ribosome-associated proteins, toxin-antitoxin systems, and outer membrane proteins strongly influence the fitness of <i>E. coli</i> in gentamicin. Notably, gentamicin-induced fitness changes resembled those under anaerobic conditions, where resistance to gentamicin was observed. Specifically, genes related to the biosynthesis of cofactors and electron carriers, crucial for the respiratory system, showed reduced essentiality under both gentamicin and anaerobic conditions, suggesting a disruption in membrane potential leading to limited gentamicin uptake. Transcriptomic and genome-wide binding analyses identified the two-component system CpxR as a key regulator of respiratory systems in response to gentamicin. Our study provides insights into cellular defense mechanisms, offering potential strategies for combating antibiotic resistance.IMPORTANCEBacteria can adapt to a variety of stressful environments, including antibiotic exposure. The mechanisms underlying antibiotic resistance remain an active area of investigation. Clustered regularly interspaced short palindromic repeats (CRISPR) interference enables specific silencing of gene expression, allowing researchers to assess the fitness effects of gene knockdowns under given conditions. Using genome-wide CRISPR interference screening on <i>Escherichia coli</i> exposed to gentamicin, we identified anaerobic-like fitness effects of genes involved in respiration and the maintenance of membrane potential-key processes that facilitate gentamicin entrance into the cell. Transcriptomic analysis and immunoprecipitation assays further indicated that the two-component system CpxR modulates respiratory adaptations in response to gentamicin challenge. These findings shed light on the development of antibiotic resistance in bacteria and may offer new insight into strategies for treating gentamicin-resistant pathogens.

Authors

Institutions

Publication Details

Journal
mSystems
Published
2025-06-16
DOI
https://doi.org/10.1128/msystems.00353-25
Citations
3
Primary Topic
Bacterial Genetics and Biotechnology
Type
article
Field-Weighted Citation Impact
5.45

Funders

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

CRISPRi screening reveals E. coli ’s anaerobic-like respiratory adaptations to gentamicin: membrane depolarization by CpxR

Ki Jun Jeong, Yoseb Song, Suhyung Cho, Bernhard Ø. Palsson et al.
3 citations
mSystems
Bacterial Genetics and Biotechnology
5.45
article

CRISPRi screening reveals E. coli ’s anaerobic-like respiratory adaptations to gentamicin: membrane depolarization by CpxR

Ki Jun Jeong, Yoseb Song, Suhyung Cho, Bernhard Ø. Palsson, Donghui Choe, Byung‐Kwan Cho, Eun‐Ju Lee, Sun Chang Kim
article en
3 citations

Abstract

Bacterial genes serve diverse cellular functions and many affect fitness in response to environmental challenges. We employed CRISPR interference screening to investigate the fitness effect of each gene in <i>Escherichia coli</i> exposed to gentamicin, aiming to understand the cellular defense mechanisms. Our findings revealed that ribosomal proteins, ribosome-associated proteins, toxin-antitoxin systems, and outer membrane proteins strongly influence the fitness of <i>E. coli</i> in gentamicin. Notably, gentamicin-induced fitness changes resembled those under anaerobic conditions, where resistance to gentamicin was observed. Specifically, genes related to the biosynthesis of cofactors and electron carriers, crucial for the respiratory system, showed reduced essentiality under both gentamicin and anaerobic conditions, suggesting a disruption in membrane potential leading to limited gentamicin uptake. Transcriptomic and genome-wide binding analyses identified the two-component system CpxR as a key regulator of respiratory systems in response to gentamicin. Our study provides insights into cellular defense mechanisms, offering potential strategies for combating antibiotic resistance.IMPORTANCEBacteria can adapt to a variety of stressful environments, including antibiotic exposure. The mechanisms underlying antibiotic resistance remain an active area of investigation. Clustered regularly interspaced short palindromic repeats (CRISPR) interference enables specific silencing of gene expression, allowing researchers to assess the fitness effects of gene knockdowns under given conditions. Using genome-wide CRISPR interference screening on <i>Escherichia coli</i> exposed to gentamicin, we identified anaerobic-like fitness effects of genes involved in respiration and the maintenance of membrane potential-key processes that facilitate gentamicin entrance into the cell. Transcriptomic analysis and immunoprecipitation assays further indicated that the two-component system CpxR modulates respiratory adaptations in response to gentamicin challenge. These findings shed light on the development of antibiotic resistance in bacteria and may offer new insight into strategies for treating gentamicin-resistant pathogens.

mSystemsVol. 10(7)
Korea Advanced Institute of Science and Technology (KR), University of California San Diego (US)
National Research Foundation of Korea, Novo Nordisk Fonden
Life in Land
Openalex Percentile: Top 5%
Bacterial Genetics and Biotechnology
5.45
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.