Resumen
Nitrification is a central process of the aquatic nitrogen cycle that controls the supply of nitrate used in other key processes, such as phytoplankton growth and denitrification. Through time series observation and modeling of a seasonally stratified, eutrophic coastal basin, we demonstrate that physical dilution of nitrifying microorganisms by water column mixing can delay and decouple nitrification. The findings are based on a 4-y, weekly time series in the subsurface water of Bedford Basin, Nova Scotia, Canada, that included measurement of functional (amoA) and phylogenetic (16S rRNA) marker genes. In years with colder winters, more intense winter mixing resulted in strong dilution of resident nitrifiers in subsurface water, delaying nitrification for weeks to months despite availability of ammonium and oxygen. Delayed regrowth of nitrifiers also led to transient accumulation of nitrite (3 to 8 μmol · kgsw−1) due to decoupling of ammonia and nitrite oxidation. Nitrite accumulation was enhanced by ammonia-oxidizing bacteria (Nitrosomonadaceae) with fast enzyme kinetics, which temporarily outcompeted the ammonia-oxidizing archaea (Nitrosopumilus) that dominated under more stable conditions. The study reveals how physical mixing can drive seasonal and interannual variations in nitrification through control of microbial biomass and diversity. Variable, mixing-induced effects on functionally specialized microbial communities are likely relevant to biogeochemical transformation rates in other seasonally stratified water columns. The detailed study reveals a complex mechanism through which weather and climate variability impacts nitrogen speciation, with implications for coastal ecosystem productivity. It also emphasizes the value of high-frequency, multiparameter time series for identifying complex controls of biogeochemical processes in aquatic systems.
Idioma original | English |
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Número de artículo | 2004877118 |
Publicación | Proceedings of the National Academy of Sciences of the United States of America |
Volumen | 118 |
N.º | 18 |
DOI | |
Estado | Published - may. 4 2021 |
Nota bibliográfica
Funding Information:ACKNOWLEDGMENTS. This work was funded by the Canada Excellence Research Chair for Ocean Science and Technology. Additionally, S.H. was supported by a Nova Scotia Graduate Scholarship (NSGS) and a Killam Predoctoral Scholarship, B.M.R. by a Natural Sciences and Engineering Research Council of Canada (NSERC), Canada Graduate Scholarship – Doctoral award, S.R. by an NSGS and by the Transatlantic Graduate Research School, J.L. and J.T. by the Ocean Frontier Institute and an NSERC Grant to J.L., and C.K.A. by an NSERC Discovery Grant. We thank Anna Haverstock, Elizabeth Kerrigan, Claire Normandeau, and their coworkers for laboratory and field work. Bill Li, Andrew Cogswell, and the Bedford Institute of Oceanography deserve credit for starting and maintaining the time series. Ciara Willis, Jackie Zorz, Jenni-Marie Ratten, and Ian Luddington helped with the collection of the DNA samples. The Coastal Environmental Observation Technology and Research team led by Richard Davis and supported by the Marine Environmental Observation, Prediction and Response Network (MEOPAR) provided valuable data, and Dariia Atamanchuk and Kate Patterson helped to make them available. Finally, we thank Daniel Kelley, Michael Dowd, and Carolyn Buchwald for helpful discussions as well as four anonymous reviewers for valuable ideas to improve the manuscript.
Publisher Copyright:
© 2021 National Academy of Sciences. All rights reserved.
ASJC Scopus Subject Areas
- General
PubMed: MeSH publication types
- Journal Article
- Research Support, Non-U.S. Gov't