Temporal profiling resolves the drivers of microbial nitrogen cycling variability in coastal sediments
Alexis J Marshall1, Lori Phillips2, Andrew Longmore3
1La Trobe University, AgriBio Centre for AgriBiosciences, 5 Ring Road Bundoora, Australia; Department of Jobs, Precincts and Regions, AgriBio, Centre for AgriBiosciences, 5 Ring Road Bundoora, Australia.
Microbial nitrogen-cycling gene activity in coastal sediments can map nutrient pollution. Specific gene transcripts, like bacterial beta-amoA, can serve as indicators for monitoring anthropogenic nitrogen inputs and informing management strategies.
Area of Science:
- Environmental microbiology
- Coastal ecology
- Biogeochemical cycling
Background:
- Coastal ecosystems face challenges from variable nutrient inputs.
- Understanding microbial nitrogen cycling is crucial for assessing ecosystem health.
- Sediment microbial communities play a key role in nutrient transformations.
Purpose of the Study:
- To assess the potential of sediment microbial nitrogen-cycling gene abundances (DNA and RNA) to spatially resolve coastal areas impacted by nutrient inputs.
- To investigate the relationship between specific nitrogen-cycling genes and different nutrient sources (organic nitrogen, nitrate).
- To evaluate microbial activity metrics for coastal management.
Main Methods:
- Quantification of key nitrogen-cycling genes (amoA, nirS, nirK, nifH) and their transcripts across three sediment depths over two years.
- Site selection in Port Phillip Bay, Australia, representing varied nutrient inputs and forms.
- Analysis of gene and transcript abundances in relation to sediment depth and nutrient conditions.
Main Results:
- Sediments with organic nitrogen inputs showed high archaeal amoA and nirK-a transcript abundances.
- Proximity to nitrate inputs correlated with high nirS transcript abundances, varying seasonally with nitrate levels.
- Isolated sediments exhibited a depth-specific decrease in transcripts, with bacterial β-amoA linked to ammonium levels.
Conclusions:
- Variability in bacterial β-amoA, archaeal amoA, archaeal nirK-a, and nirS transcripts can enhance monitoring of coastal zones affected by anthropogenic nitrogen.
- Bacterial β-amoA transcripts show potential as a metric for spatiotemporal impact assessment of large nutrient loading events.
- Microbial activity metrics offer improved spatial resolution for coastal management strategies.
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