In nature, microorganisms rarely exist in isolation; consequently, they are constantly interacting with other organisms. Therefore, studying how microorganisms interact with each other is essential to understanding a multitude of microbial behaviors1. Microbial interactions can be mutualistic, commensal, or antagonistic. These in teractions can affect not only the microorganisms themselves but also the environments and hosts that the microorganisms colonize1,2.
Many scientists study microbial interactions to identify new antimicrobial molecules. One of the first clinically important antimicrobial molecules was found through the study of microbial interactions. Sir Alexander Fleming observed a contaminating Penicillium spp. isolate that inhibited the growth of a Staphylococcus strain, which led to the discovery of the commonly used antibiotic penicillin3. Characterization of the mechanisms that microorganisms use to antagonize their competitors remains a fruitful resource for the discovery of antimicrobial molecules. For example, it was recently shown that Streptomyces sp. strain Mg1 produces antibiotic linearmycins, which have a lytic and degradative activity against Bacillus subtilis4.
Further, a non-ribosomally synthesized peptide named lugdunin was recently discovered after the observation that nasal commensal Staphylococcus lugdunensis inhibits Staphylococcus aureus5. Studies have also shown that mutualistic interactions between microorganisms are equally as powerful as antagonistic interactions for the discovery of antimicrobial molecules. For example, many fungus-farming ants in the tribe Attini harbor symbiotic bacteria called Pseudonocardia on their exoskeleton that produces antifungal molecules to inhibit an obligate pathogen of their fungal crop6. As the study of microbial interactions has been beneficial for discovering antimicrobial molecules, the use of high throughput screens may result in the discovery of new antimicrobial molecules.
With respect to the cost and ease of performance, the methodologies used to study microbial interactions range from simple to complex. For instance, an agar plug assay is an inexpensive and simple method that can be used to investigate antagonism between multiple microorganisms7. However, an agar plug assay is not an efficient procedure and can be labor-intensive for many pairwise combinations.To assess the effects of microbially produced products on target isolates of interest in a high throughput manner, many laboratories use disk diffusion assays8. These assays are easy and inexpensive and can be scalable to higher numbers of samples7. However, this assay requires the generation of microbial extracts and may produce misleading results for certain combinations of target organisms and antibiotics, such as Salmonella and cephalosporins9.
The preceding approaches rely on isolated components to elicit a response in a target organism, instead of allowing microorganisms to interact with each other. This is of note because interactions between microbes may elicit the production of "cryptic" antimicrobial molecules that are not produced in monoculture. For instance, it was recently shown that the antimicrobial keyicin is only produced by a Micromonospora sp. when co-cultured with a Rhodococcus sp. that is isolated from the same sponge microbiome10. More complex interaction methodologies circumvent this potential monoculture hindrance. For instance, the iChip is useful for isolating rare and difficult to cultivate bacteria from environmental samples and allows for the observation of microbial interactions through growth in situ11. To investigate interactions in detail, matrix assisted laser desorption/ionization time-of-flight imaging mass spectrometry (MALDI-TOF-IMS) can be used. This approach provides detailed information on the composition and distribution of small molecules and peptides produced by interacting microbial colonies with high spatial resolution. MALDI-TOF-IMS has also been used in multiple studies of bacterial interactions to characterize the mechanisms of competition12,13,14,15. However, MALDI-TOF-IMS often requires laborious sample preparation, specialized expertise to operate the equipment, and expensive and specialized mass spectrometers. For these reasons, it is a difficult technique to use for high throughput studies. Thus, a simple, scalable, and high throughput co-culture assay for microbial interactions that overcomes many limitations of the above approaches would be beneficial.
Here, a protocol for high throughput microbial co-culture is presented. This assay is simple and easily incorporated into preexisting studies of microbial interactions. In contrast to many commonly used methods for the study of microbial interactions, our method is simple, inexpensive, and is amenable to investigating large numbers of interactions. These assays are not only easy to perform, but the materials are widely available from most laboratory suppliers or public resources (e.g., libraries and makerspaces). Consequently, this assay is advantageous as a first line of investigation to identify and parse interesting patterns among many pairwise combinations of microorganisms, which may be especially useful for the investigation of microbial ecology.