Multicolor flow cytometry of monocultures and co-cultures of Bacteroides species

This experiment tracked the abundance of multiple bacterial species in monocultures and co-cultures on minimal media supplemented with single carbon sources. Conclusion: Our approach of multicolor flow cytometry with a machine learning classifier can successfully track the absolute abundances of distinct Bacteroides species over time in both monocultures and co-cultures. Notes: This dataset accompanies a journal artcle which was published in Frontiers in Microbiology (https://doi.org/10.3389/fmicb.2022.910390). The "Methods and Materials" section in this manuscript fully describes the biological nature of these samples and how the samples were processed for flow analysis and analyzed with flow cytometry. Code used for manipulating and analyzing these samples is publicly available (https://github.com/firasmidani/BacteroidesFlowCytometry). For each media condition, sterile media was processed and analyzed with flow cytometry in the same manner as other samples in the experiment, with at least two technical replicates per time point.