2022 Early Hearing Detection & Intervention Virtual Conference
March 13 - 15, 2022
5/24/2021 | 8:30 AM - 10:30 AM | WATERSHED ROW-CROP AGRICULTURE DOES NOT CORRELATE WITH MICROBIAL NITROGEN-CYCLING GENETIC POTENTIAL ACROSS A GRADIENT OF EASTERN KANSAS STREAMS | Virtual Platform
WATERSHED ROW-CROP AGRICULTURE DOES NOT CORRELATE WITH MICROBIAL NITROGEN-CYCLING GENETIC POTENTIAL ACROSS A GRADIENT OF EASTERN KANSAS STREAMS
Widespread conversion of grassland to row-crop agriculture has caused increased fertilizer-derived nitrate runoff to many streams, and higher nitrous oxide production. Bacteria and archaea mediate nitrogen (N) cycling; yet, little is known about their distribution in streams. This study assesses relationships between agricultural density, microbial N-cycling functional group abundance, and microbial diversity in water and benthic sediment at 69 sites across a land-use gradient.
We hypothesized that microbiota from sites with more row-crop agriculture upstream would have greater N-cycling potential, indicated by higher 16S bacterial rRNA, bacterial amoA (ammonia monooxygenase), and nosZ (nitrous oxide reductase) clade I gene copies, and distinct microbial community composition. We ran quantitative PCR of target genes, and sequenced 16S rRNA gene libraries, on DNA extracted from triplicate samples collected in 2018.
Unexpectedly, land-use and N-cycling functional potential were not correlated. However, there was a positive correlation between nosZ and bacterial amoA gene copies, suggesting that products of nitrifier metabolism support denitrifier populations, and that a gradient of slow to fast N-cycling microbiomes exists independent of watershed land-use. Next, we will assess correlations between N-cycling potential and other factors, to learn what may drive this variability.
- Land use
- Biogeochemistry
- Stream
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Presenters/Authors
Joshua Dimapilis
(), Kansas State University, joshuard@ksu.edu;
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Janaye Hanschu
(), Kansas State University, jhanschu@ksu.edu;
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Abagael Pruitt
(), University of Notre Dame, apruitt2@nd.edu;
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Samantha Thomas
(), Kansas Biological Survey, University of Kansas, Lawrence, KS, sgthomas@ku.edu;
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Matthew VanderPutten
(), Kansas State University, matthe76@ksu.edu;
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Amy Burgin
(), University of Kansas, burginam@ku.edu;
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Matthew Kirk
(), Kansas State University, mfkirk@ksu.edu;
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Lydia Zeglin
(), Kansas State University, lzeglin@ksu.edu;
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