Metatranscriptomic analysis uncovers divergent responses of Baltic Sea bacteria to forest and agriculture river loadings

Climate change is predicted to induce substantial changes in precipitation patterns across the globe. In Northern Europe, precipitation is expected to increase more than the global average (particularly in northern Scandinavia), causing increased river runoff. The Baltic Sea is one of the largest brackish environments on earth with a catchment area that spans 14 countries, encompassing primarily forested areas and agricultural landscapes. Despite the acknowledged role of marine bacteria in nutrient cycling, there is a lack of knowledge in their metabolic responses to inorganic and organic nutrient loading from riverine runoff. We investigated the bacterial growth and gene expression responses in a mesocosm experiment in which river water from boreal forest- (enriched in humic substances) or agriculture- influenced catchment areas were added to Baltic Sea Proper water. The riverine nutrient input triggered extensive phytoplankton blooms and bacterial growth, most notably in the agriculture river treatment. Interestingly, bacterial gene expression analysis (metatranscriptomics) showed similar responses to agriculture and humic river inputs at the start of the experiment (before the phytoplankton bloom), but expression patterns diverged significantly upon bloom senescence.Notably, transcripts associated with phosphate metabolism were significantly enriched , whereas transcripts related to nitrogen metabolism were significantly lower in the agriculture river treatment compared to the boreal forest river treatment. The opposite pattern was observed in the boreal forest river water treatment. Overall, our results showed that interactions between river nutrient loading and phytoplankton organic matter are important in regulating bacterial activities and responses at the molecular level. This suggests that bacterial transformations of organic matter and nutrient cycling in coastal waters and estuarine environments are sensitive to changes in precipitation patterns in a catc