2023 Early Hearing Detection & Intervention Conference

March 5-7, 2023 • Cincinnati, OH

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5/21/2019  |   11:30 AM - 11:45 AM   |  A NOVEL POINT INPUT TO A LARGE RIVER AFFECTS WATER AND SEDIMENT MICROBIAL COMPOSITION AND N-CYCLING FUNCTIONAL POTENTIAL   |  150 G

A NOVEL POINT INPUT TO A LARGE RIVER AFFECTS WATER AND SEDIMENT MICROBIAL COMPOSITION AND N-CYCLING FUNCTIONAL POTENTIAL

The microbial community composition (MCC) of flowing waters is affected by cell inputs from upstream sources, and by environmental filtering within the aquatic habitat. It is not clear how these shifts in MCC are associated with differences in biogeochemical function. To evaluate links between microbial community source, composition and function, we tracked the water chemistry and microbial compositional change resulting from a unique release of high-N water from a decommissioned fertilizer manufacturing plant to a large river. We also used lab experiments to measure the N-cycling kinetics of river bacterioplankton and point source microbiota, expecting the high-N source community to support higher N-cycling rates. We detected river water and sediment MCC responses to the point input, but these attenuated downstream, and seasonal shifts in MCC were greater than the input effect. Lab experiments supported the hypothesis that MCC source affected N-cycling functional potential, in that fertilizer waste MCC had a greater denitrification potential at higher nitrate concentrations. However, the denitrification potential of the river water MCC was greater at nitrate concentrations typical of in situ river conditions. Environmental filtering of a distinct source community can affect both MCC and function.

  • Microbial
  • Pollution
  • Biogeochemistry

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Presenters/Authors

Lydia Zeglin (), Kansas State University, lzeglin@ksu.edu;


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Amy J. Burgin (), University of Kansas, burginam@ku.edu;


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Janaye Hanschu (), Kansas State University, jhanschu@ksu.edu;


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Michelle Catherine Kelly (), University of Kansas, michellekelly@ku.edu;


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Emma Overstreet (), Kansas Biological Survey, University of Kansas, Lawrence, KS, evover@live.com;


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