ArticlemBio2022
Antibiotic Resistance via Bacterial Cell Shape-Shifting.
Article in mBio, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
44 citing papers in PubMed, 82 citations in OpenAlex.
- Fast-growing intracellular Mycobacterium tuberculosis populations evade antibiotic treatment.Nature communications · 2026Article
- A microfluidic hollow-fiber infection model (µHFIM): monitoring bacterial response to dynamic drug treatment with single-cell resolution.Microsystems & nanoengineering · 2026Article
- Article
- A coma pattern-based autofocusing method resolves bacterial cold shock response at single-cell level.eLife · 2026Article
- Deep-learning deconvolution and segmentation of fluorescent membranes for high-precision bacterial cell-size profiling.Communications biology · 2026Article
- A nutrient bottleneck controls antibiotic efficacy in structured bacterial populations.Nature communications · 2026Article
- Inferring bacterial cell size dynamics across media conditions.Scientific reports · 2026Article
- Shape-morphing active particles with invertible effective polarizability for configurable locomotion and steering.Nature communications · 2026Article
- Emerging strategies of bacterial adaptation mechanisms to silver and metal oxide nanomaterials.FEMS microbiology reviews · 2026Review
- High-throughput LacZ/CPRG assay for identifying Gram-negative envelope-targeting antibiotics.Frontiers in microbiology · 2026Article
- Adaptive metabolic strategies of intracellular bacterial pathogens.Frontiers in microbiology · 2026Review
- Molecular insights into silver nanoparticle resistance in Acinetobacter baumannii and unique adaptations to ionic silver.npj antimicrobials and resistance · 2025Article
- Reinforcement learning for adaptive control of phenotypically heterogeneous bacterial populations.bioRxiv : the preprint server for biology · 2025Article
- Harnessing droplet microfluidics and morphology-based deep learning for the label-free study of polymicrobial-phage interactions.Communications biology · 2025Article
- Unveiling the Mechanisms of Bacterial Resistance and Countermeasures.Pathogens (Basel, Switzerland) · 2025Review
- The antimicrobial activity of ETD151 defensin is dictated by the presence of glycosphingolipids in the targeted organisms.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Antibacterial Potential of Crude Extracts fromMicroorganisms · 2025Article
- Advancing antibiotic discovery with bacterial cytological profiling: a high-throughput solution to antimicrobial resistance.Frontiers in microbiology · 2025Review
- Resistance trend in bacteria isolated from corneal ulcers: A retrospective analysis from Pakistan.PloS one · 2025Article
- Chia Derived Peptides Affecting Bacterial Membrane and DNA: Insights from Staphylococcus aureus and Escherichia coli Studies.Plant foods for human nutrition (Dordrecht, Netherlands) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
Abstract
Bacteria have evolved to develop multiple strategies for antibiotic resistance by effectively reducing intracellular antibiotic concentrations or antibiotic binding affinities, but the role of cell morphology in antibiotic resistance remains poorly understood. By analyzing cell morphological data for different bacterial species under antibiotic stress, we find that bacteria increase or decrease the cell surface-to-volume ratio depending on the antibiotic target. Using quantitative modeling, we show that by reducing the surface-to-volume ratio, bacteria can effectively reduce the intracellular antibiotic concentration by decreasing antibiotic influx. The model further predicts that bacteria can increase the surface-to-volume ratio to induce the dilution of membrane-targeting antibiotics, in agreement with experimental data. Using a whole-cell model for the regulation of cell shape and growth by antibiotics, we predict shape transformations that bacteria can utilize to increase their fitness in the presence of antibiotics. We conclude by discussing additional pathways for antibiotic resistance that may act in synergy with shape-induced resistance.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.