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Published on: May 13, 2019
Methods to determine fitness in bacteria
Cassie F Pope1, Timothy D McHugh, Stephen H Gillespie
1Medical Microbiology, St George's NHS Trust, London, UK.
Measuring bacterial fitness costs associated with antibiotic resistance is crucial. This study presents improved methods for estimating bacterial generation time and environmental survival, aiding in the quantification of antibiotic resistance costs.
Area of Science:
- Microbiology
- Bacterial Physiology
- Antimicrobial Resistance
Background:
- Antibiotic resistance acquisition can impose a physiological cost on bacteria, impacting their fitness.
- Quantifying these fitness costs is essential for understanding resistance dynamics but can be challenging.
- Traditional methods for measuring bacterial generation time are often laborious and prone to error.
Purpose of the Study:
- To describe and evaluate improved methods for measuring bacterial fitness costs.
- To present techniques for estimating generation time and environmental survival in bacteria.
- To facilitate the accurate quantification of fitness costs associated with antibiotic resistance.
Main Methods:
- Utilized a semi-automated liquid culture system to estimate generation time in Burkholderia cepacia complex.
- Employed the BacT/ALERT system for determining generation time and bacterial enumeration in Mycobacterium tuberculosis.
- Developed and described methods for quantifying biofilm growth and environmental survival in Burkholderia cepacia complex.
Main Results:
- The semi-automated system provided an efficient estimation of generation time.
- The BacT/ALERT system proved effective for Mycobacterium tuberculosis growth assessment.
- Methods for biofilm quantification and environmental survival were successfully applied to Burkholderia cepacia complex.
Conclusions:
- Improved methods offer more efficient and accurate ways to measure bacterial fitness costs.
- These techniques can be adapted for various bacterial species, including important pathogens.
- Accurate fitness cost assessment is vital for a comprehensive understanding of antibiotic resistance.
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