A Real-Time Multiplexed Microbial Growth Intervalometer for Capturing High-Resolution Growth Curves.
David C Vuono1, Bruce Lipp1, Carl Staub2
1Division of Earth and Ecosystem Sciences, Desert Research Institute, Reno, NV, United States.
Frontiers in Microbiology
|June 25, 2019
Summary
A new automated instrument, the MicrobiAl Growth Intervalometer (MAGI), measures microbial growth using photo-conduction. This cost-effective device offers sensitive, low-noise measurements for various organisms and conditions, advancing microbiological research tools.
Area of Science:
- Microbiology
- Biotechnology
- Instrumentation
Background:
- Traditional batch cultures are routine but lack automated growth curve measurement tools.
- Existing optical density (OD) methods use photo-attenuation, which can be less sensitive.
- Need for advanced, automated instruments for microbial growth monitoring.
Purpose of the Study:
- To introduce the MicrobiAl Growth Intervalometer (MAGI), a novel automated instrument for measuring microbial growth.
- To demonstrate MAGI's ability to measure microbial growth using photo-conduction.
- To showcase MAGI's versatility across different organisms, media, and conditions.
Main Methods:
- Developed the MicrobiAl Growth Intervalometer (MAGI) utilizing photo-conduction.
- Employed software-driven automation for sensitive, low-background noise measurements.
- Tested MAGI with *Escherichia coli* K-12, *Bacillus subtilis*, and *Intrasporangium calvum* C5 under various conditions.
Main Results:
- MAGI accurately measured growth curves for *E. coli* K-12, with reproducible growth rates and generation times.
- Detected morphological changes in *B. subtilis* via alterations in the growth curve slope.
- Successfully captured growth curves for *I. calvum* across diverse media, redox conditions, and low resource concentrations, including diauxic growth.
Conclusions:
- MAGI is a versatile, cost-effective, and robust platform for microbial growth monitoring.
- The photo-conduction method provides sensitive measurements, capable of detecting subtle biological changes.
- MAGI advances tools for environmental, clinical, and food science microbiology by enabling precise growth curve analysis.
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