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Related Experiment Video

Updated: May 25, 2026

Design and Use of a Low Cost, Automated Morbidostat for Adaptive Evolution of Bacteria Under Antibiotic Drug Selection

Design and Use of a Low Cost, Automated Morbidostat for Adaptive Evolution of Bacteria Under Antibiotic Drug Selection

Published on: September 27, 2016

Whack-an-E. coli with the morbidostat.

Ofer Fridman¹, Amir Goldberg, Nathalie Q Balaban

¹Racah Institute of Physics, The Hebrew University, Edmond J Safra Campus, Givat-Ram, Jerusalem 91904, Israel.

|January 31, 2012

Summary

A new study used the morbidostat device to reveal predictable genetic and phenotypic paths toward high antibiotic resistance. This research clarifies the deterministic factors driving the evolution of antimicrobial resistance.

Area of Science:

Microbiology
Evolutionary Biology
Genetics

Background:

Antibiotic resistance is a growing global health threat.
Understanding the evolutionary pathways to resistance is crucial for developing new treatments.

Purpose of the Study:

To investigate the deterministic nature of genetic and phenotypic changes leading to high antibiotic resistance.
To utilize the morbidostat for real-time monitoring of microbial evolution under antibiotic pressure.

Main Methods:

Employing a novel device, the morbidostat, to culture bacteria under continuous antibiotic selection.
Monitoring genetic mutations and phenotypic adaptations in real-time.
Analyzing the trajectories of bacterial evolution.

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Main Results:

The study identified consistent and predictable genetic and phenotypic trajectories towards high antibiotic resistance.
The morbidostat enabled detailed observation of the evolutionary process.

Conclusions:

The evolution of antibiotic resistance is not entirely random but shows deterministic patterns.
These findings provide insights into the predictability of antimicrobial resistance development.