Alex Alexiev edited Abstract1.tex  about 8 years ago

Commit id: 67aa84a58af2c23d84b8fad79448d6f434fae896

deletions | additions      

       

\subsection{Background}  Submerged aquatic vegetation (SAV) are plants that are rooted in sediment and fully submerged most of the time. Their evolutionary history includes a transition from aquatic to terrestrial and back to aquatic, resulting in many adaptations for coping with varied salinity and osmotic conditions. The Potomac River provides the opportunity to sample the microbial leaf and root communities of multiple SAV species across a salinity gradient as the river empties into the Chesapeake Bay. The goal was to find a link between the microbial communities on different SAV species and the changing salinity across the river.  \subsection{Results}  One of the four successfully sampled sites was very different from the rest in terms of microbial community and water/sediment chemistry, clustering away separately  from the other sites on PCoA plots. Within this one site, samples were differentiated by host species and sample type. Alpha diversity graphs revealed that Methylotenera, Planctomyces, Rhodobacter, and Providencia are commonly found amongst most SAV species across all sites, and that sulfur oxidizers have a large were present in high  relative abundance in the roots of Redhead Grass at one particular site. \subsection{Conclusions}  Water/sediment chemistry, which was unique at each site, was a main driver of the microbial community differentiation. The data also showed that the species of SAV and whether samples came from leaves or roots also drove differences between samples within a specific site. Since this dataset is small and was limited by travel plans, it is worth going back to the Potomac River to take samples of more species and along the full length of the river. It is also worthwhile to sample the length of the James River, which provides a replicate salinity gradient. This would provide a more complete dataset to further delve into the finer points of what microbes in the community are driving the differences we observed.