Fine Scale Phytoplankton Diversity of Galveston Bay: Imaging FlowCytobot Provides Insight into Microbial Community Dynamics

Hannah Preischel1, Heidi M Sosik2, Shiron Lawrence3, Allyson Lucchese1, Jennifer Genzer3, Jamie L Steichen3 and Antonietta Quigg3, (1)Texas A&M University, Oceanography, College Station, TX, United States, (2)Woods Hole Oceanographic Institution, Woods Hole, MA, United States, (3)Texas A&M University at Galveston, Marine Biology, Galveston, TX, United States
Abstract:
Galveston Bay, the largest watershed in Texas, is impacted by anthropogenic nutrient inputs from two growing major cities: Houston and Dallas-Fort Worth. Expansion of the Panama Canal in 2016 will lead to an increase in shipping into Galveston Bay, which in turn will lead to an increase in discharge of ballast water into the bay. These two inputs combined are likely to lead to an increase in invasive phytoplankton species and nutrient inputs and ultimately an increase in the frequency of algal blooms, some of which may be harmful. Because of this, it is important to understand the current phytoplankton diversity in order to know which harmful algal species are present, when they are abundant, and when they are most likely to produce blooms. Ultimately this information will provide early detection, avoid human illness from shellfish poisoning and possibly lead to regulation of nutrient inputs. Historically, diatoms have been found to be the most abundant phytoplankton in the winter and spring, when nutrient inputs into Galveston Bay are higher. Small flagellates and cyanobacteria have been found to be the most abundant phytoplankton during times of warmer weather and low nutrient inputs. Daily samples are being taken from Galveston Bay near the entrance to the Gulf of Mexico. These samples are being examined with an Imaging FlowCytobot to document community composition shifts down to lowest practical identification level. Relative diversity is being assessed with traditional indices including the Shannon-Weiner and Simpson’s diversity indices. Compared to previous studies, this approach will allow us to characterize much finer scale community composition changes concurrently with those in temperature and salinity. This information will also provide a library of phytoplankton types in Galveston Bay and, with concurrent water quality data, will be used to develop predictive tools or determine under which scenarios if any, harmful algal blooms are more likely to occur.