Fast bacterial growth reduces antibiotic accumulation and efficacy

Elife. 2022 Jun 7:11:e74062. doi: 10.7554/eLife.74062.

Abstract

Phenotypic variations between individual microbial cells play a key role in the resistance of microbial pathogens to pharmacotherapies. Nevertheless, little is known about cell individuality in antibiotic accumulation. Here, we hypothesise that phenotypic diversification can be driven by fundamental cell-to-cell differences in drug transport rates. To test this hypothesis, we employed microfluidics-based single-cell microscopy, libraries of fluorescent antibiotic probes and mathematical modelling. This approach allowed us to rapidly identify phenotypic variants that avoid antibiotic accumulation within populations of Escherichia coli, Pseudomonas aeruginosa, Burkholderia cenocepacia, and Staphylococcus aureus. Crucially, we found that fast growing phenotypic variants avoid macrolide accumulation and survive treatment without genetic mutations. These findings are in contrast with the current consensus that cellular dormancy and slow metabolism underlie bacterial survival to antibiotics. Our results also show that fast growing variants display significantly higher expression of ribosomal promoters before drug treatment compared to slow growing variants. Drug-free active ribosomes facilitate essential cellular processes in these fast-growing variants, including efflux that can reduce macrolide accumulation. We used this new knowledge to eradicate variants that displayed low antibiotic accumulation through the chemical manipulation of their outer membrane inspiring new avenues to overcome current antibiotic treatment failures.

Keywords: antibiotic resistance; antibiotic uptake; antibiotics; burkholderia cenocepacia; efflux; escherichia coli; infectious disease; membrane transport; microbiology; microfluidics; phenotypic heterogeneity; physics of living systems; pseudomonas aeruginosa; single-cell analysis; staphylococcus aureus.

Plain language summary

Bacteria can cause an array of diseases ranging from mildly inconvenient to deadly. In fact, every year around the world, five million people succumb to a bacterial infection. Antibiotics can kill bacteria or stop their growth, but many bacterial species are now able to evade these drugs. To be efficient, most antibiotics first need to get inside a bacterium; there, they accumulate until they reach the concentration they need to act. Often, the drugs make their way through channel-like structures (‘pores’) studded through the external membranes of bacteria and which control the passage of molecules in and out of cells. Resistance usually emerges when genetic changes provide the microorganism with an advantage against antibiotics, or when the microorganism performs the biochemical reactions necessary for life at a slower pace. In contrast, Łapińska, Pagliara et al. decided to examine how genetically similar Escherichia coli bacteria which differed in their growth rate would fare against antibiotics. The drug targeted ribosomes, the machinery that produces proteins in a cell. A combination of techniques was used to follow individual cells, revealing that fast-growing variants better managed to survive. A closer look showed that bacteria which were growing quickly had a surplus of ribosomes, which then produced more pores that could pump the antibiotic out the cell. Next, Łapińska, Pagliara et al. exposed the bacteria to both the antibiotic and a compound that weakens bacterial membrane; this erased the advantage shown by the fast-growing variants. Overall, this work gives a finer understanding of the mechanisms that underlie antibiotic resistance, which could help pave the way to new strategies to combat harmful bacteria.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Anti-Bacterial Agents* / metabolism
  • Anti-Bacterial Agents* / pharmacology
  • Drug Resistance, Bacterial / genetics
  • Escherichia coli / genetics
  • Escherichia coli / metabolism
  • Escherichia coli Proteins* / metabolism
  • Macrolides
  • Microbial Sensitivity Tests
  • Pseudomonas aeruginosa / metabolism

Substances

  • Anti-Bacterial Agents
  • Escherichia coli Proteins
  • Macrolides