Chemical genomics informs antibiotic and essential gene function in Acinetobacter baumannii

The Gram-negative pathogen, Acinetobacter baumannii, poses a serious threat to human health due to its role in nosocomial infections that are resistant to treatment with current antibiotics. Despite this, our understanding of fundamental A. baumannii biology remains limited, as many essential genes have not been experimentally characterized. These essential genes are critical for bacterial survival and, thus, represent promising targets for drug discovery. Here, we systematically probe the function of essential genes by screening a CRISPR interference knockdown library against a diverse panel of chemical inhibitors, including antibiotics. We find that most essential genes show chemical-gene interactions, allowing insights into both inhibitor and gene function. For instance, knockdown of lipooligosaccharide (LOS) transport genes increased sensitivity to a broad range of chemicals. Cells with defective LOS transport showed cell envelope hyper-permeability that was dependent on continued LOS synthesis. Using phenotypes across our chemical-gene interaction dataset, we constructed an essential gene network linking poorly understood genes to well-characterized genes in cell division and other processes. Finally, our phenotype-structure analysis identified structurally related antibiotics with distinct cellular impacts and suggested potential targets for underexplored inhibitors. This study advances our understanding of essential gene and inhibitor function, providing a valuable resource for mechanistic studies, therapeutic strategies, and future key targets for antibiotic development.

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Publication Details

Journal
PLoS Genetics
Published
2025-03-28
DOI
https://doi.org/10.1371/journal.pgen.1011642
Citations
3
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.81

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article

Chemical genomics informs antibiotic and essential gene function in Acinetobacter baumannii

Jennifer Tran, Ryan D. Ward, Jason M. Peters, Ingo Ebersberger et al.
3 citations
PLoS Genetics
CRISPR and Genetic Engineering
0.81
article

Chemical genomics informs antibiotic and essential gene function in Acinetobacter baumannii

Jennifer Tran, Ryan D. Ward, Jason M. Peters, Ingo Ebersberger, Ruben Iruegas
article en
3 citations

Abstract

The Gram-negative pathogen, Acinetobacter baumannii, poses a serious threat to human health due to its role in nosocomial infections that are resistant to treatment with current antibiotics. Despite this, our understanding of fundamental A. baumannii biology remains limited, as many essential genes have not been experimentally characterized. These essential genes are critical for bacterial survival and, thus, represent promising targets for drug discovery. Here, we systematically probe the function of essential genes by screening a CRISPR interference knockdown library against a diverse panel of chemical inhibitors, including antibiotics. We find that most essential genes show chemical-gene interactions, allowing insights into both inhibitor and gene function. For instance, knockdown of lipooligosaccharide (LOS) transport genes increased sensitivity to a broad range of chemicals. Cells with defective LOS transport showed cell envelope hyper-permeability that was dependent on continued LOS synthesis. Using phenotypes across our chemical-gene interaction dataset, we constructed an essential gene network linking poorly understood genes to well-characterized genes in cell division and other processes. Finally, our phenotype-structure analysis identified structurally related antibiotics with distinct cellular impacts and suggested potential targets for underexplored inhibitors. This study advances our understanding of essential gene and inhibitor function, providing a valuable resource for mechanistic studies, therapeutic strategies, and future key targets for antibiotic development.

PLoS GeneticsVol. 21(3)
Goethe University Frankfurt (DE), University of Wisconsin–Madison (US), Great Lakes Bioenergy Research Center (US), Senckenberg Biodiversity and Climate Research Centre (DE), LOEWE Centre for Translational Biodiversity Genomics (DE)
National Science Foundation, University of Wisconsin-Madison, Deutsche Forschungsgemeinschaft, National Institutes of Health, National Institute of General Medical Sciences
Openalex Percentile: Top 30%
CRISPR and Genetic Engineering
0.81
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