Diatoms are a group of phytoplankton that account for around 20% of global photosynthesis and play an important role as the base of many marine food webs. A model organism used to show diatom diversity and distribution is a genus called Pseudo-nitzschia. Many diatoms, including Pseudo-nitzschia, share a close relationship with bacteria and can even be found with diverse bacterial communities attached to their cells. Depending on bacterial species, the interaction between bacteria and diatom can range from mutualistic to parasitic. Viruses also participate in significant associations with diatoms, as the viral lysis of phytoplankton is an important factor in nutrient cycling. To better understand the relationship between viruses and Pseudo-nitzschia, a previous experiment measured how viral susceptibility varied between Pseudo-nitzschia isolated at different times and locations. The relationship between virus and Pseudo-nitzschia was found to be quite complex as even the viral susceptibilities of isolates with identical sequences for a certain genetic marker, the internal transcribed spacer (ITS) region, varied significantly. To determine why this variability exists, I explored the role bacterial presence plays in viral susceptibility. First, Automated Ribosomal Intergenic Spacer Analysis (ARISA), a community fingerprinting method, was conducted on the bacterial communities of the isolates with identical ITS sequences, identifying present bacteria by the length of 16S rDNA gene. If bacteria do play a role in susceptibility, similarities found between each isolate’s community will be found to correlate with similar susceptibilities of Pseudo-nitzschia isolates. The next step in this experiment will be to make the Pseudo-nitzschia cultures axenic, without bacteria, and expose them to various viral communities. By comparing the susceptibilities of axenic cultures to their non-axenic counterparts, we can gain more insight into the role that bacteria play in viral susceptibility.