Fluorescent Protein Expression as a Proxy for Bacterial Fitness in a High-Throughput Assay

Bacterial growth is classically assessed by measuring the increases in optical density of pure cultures in shaken liquid media. Measuring growth using optical density has severe limitations when studying multistrain interactions, as it is not possible to measure the growth of individual strains within mixed cultures. Here, we demonstrated that constitutively expressed fluorescent proteins can be used to track the growth of individual strains in different liquid media. Fluorescence measurements were highly correlated with optical density measurements and cell counts. This allowed us to assess bacterial growth not only in pure cultures but also in mixed bacterial cultures and determine the impact of a competitor on a focal strain, thereby assessing relative fitness. Furthermore, we were able to track the growth of two different strains simultaneously by using fluorescent proteins with differential excitation and emission wavelengths. Bacterial densities measured by fluorescence yielded more consistent data between technical replicates than optical density measurements. Our setup employs fluorescence microplate readers that allow high throughput and replication. IMPORTANCE We expand on an important limitation of the concept of measuring bacterial growth, which is classically limited to one strain at a time. By adopting our approach, it is possible to measure the growth of several bacterial strains simultaneously with high temporal resolution and in a high-throughput manner. This is important to investigate bacterial interactions, such as competition and facilitation.

Automated summary

This study demonstrates the use of constitutively expressed fluorescent proteins to track the growth of individual strains in different liquid media. Fluorescence measurements were found to be highly correlated with optical density measurements and cell counts, providing a more consistent way to assess bacterial growth in pure and mixed cultures. The method allows for high throughput and replication, enabling simultaneous measurement of multiple bacterial strains with high temporal resolution, which is crucial for investigating bacterial interactions such as competition and facilitation.