Prochlorococcus and Synechococcus, both unicellular marine cyanobacteria, are the most abundant photosynthetic organisms on the planet. They typically range from 0.4-0.8 µm and 0.8-1.5 µm respectively in size. Prochlorococcus is limited to the subtropical and tropical oligotrophic oceans, particularly between 40ºN and 40ºS, while Synechococcus has more of a cosmopolitan distribution. However, in regions where these two bacteria co-exist, Prochlorococcus outnumbers Synechococcus. Both bacteria are found in the euphotic zone, but Synechococcus prefers to be in well lit waters while Prochlorococcus can extend as deep as 200 meters in the water column. Furthermore, Prochlorococcus can be broken down into two distinct light physiologies, high and low light adapted. From these physiologies, Prochlorococcus is subdivided into six ecotypes and Synechococcus into 14 different clades based on their genetic difference. The distribution of both of these organisms in the ocean is not yet completely understood, however Prochlorococcus has a more uniform, semi-predictable distribution than Synechococcus. On three different cruises, two in the North Pacific and one in the South Atlantic, samples were collected to determine the spatial extent of these organisms. Quantitative polymerase chain reaction (qPCR), which allows for the quantification of these submicroscopic ecotypes by using the internal transcribed spacer (ITS) of rDNA, was performed on these samples. Preliminary data shows that in the South Atlantic and south of Hawaii, Prochlorococcus MIT9312 was the dominant high light ecotype and its distribution tightly followed temperature trends within the water column. In the North Pacific, Prochlorococcus MED4 was found in high abundance as far north as 42ºN while MIT9312 only extended to 41ºN in very low concentrations. The distribution of Synechococcus is much more complex than Prochlorococcus. Analyzing these organisms’ distribution under different nutrient and temperature settings will provide crucial insight to their global distribution and patterns.