Dynamics and Eco‐Genomics of Baltic Sea Nitrifiers: Seasonality, Niches, Interactions and Genomic Uniqueness

Nitrification is widespread across marine systems, yet the ecological and evolutionary drivers shaping nitrifier populations remain largely unknown. The Baltic Sea, a brackish basin with pronounced gradients in salinity, oxygen, nutrients and strong seasonality, is a valuable model environment to investigate these questions. Here, we combined metagenomics and rRNA gene sequencing to characterise the spatiotemporal dynamics and genomic diversity of nitrifiers, alongside physicochemical measurements. Nitrifiers were persistently abundant throughout aphotic waters, with vertical niche partitioning and seasonal peaks in surface waters from late fall to early spring. The seasonal peaks were positively correlated with nitrite, nitrate and diverse other prokaryotes, and negatively correlated with solar radiation and chlorophyll. To probe the genomic basis of these ecological patterns of the numerically dominant nitrifier, we recovered five novel genomes of ammonia-oxidising archaea through metagenomics of bulk samples and selective enrichments, including the dominant taxon from aphotic depths. Comparative genomics showed high gene conservation, with variation largely in genes linked to interactions with the external environment and nitrogen and phosphorus metabolism between central surface and deep types. Together, our study provides insights into niches of Baltic Sea nitrifiers and begins the process of understanding the mechanisms and functional implications of these patterns.

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Publication Details

Journal
Environmental Microbiology
Published
2026-01-01
DOI
https://doi.org/10.1111/1462-2920.70215
Primary Topic
Marine and coastal ecosystems
Type
article
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article

Dynamics and Eco‐Genomics of Baltic Sea Nitrifiers: Seasonality, Niches, Interactions and Genomic Uniqueness

David M. Needham, Sukki Sookyoung Kim, Elisa D'Agostino
Environmental Microbiology
Marine and coastal ecosystems
article

Dynamics and Eco‐Genomics of Baltic Sea Nitrifiers: Seasonality, Niches, Interactions and Genomic Uniqueness

David M. Needham, Sukki Sookyoung Kim, Elisa D'Agostino
article en

Abstract

Nitrification is widespread across marine systems, yet the ecological and evolutionary drivers shaping nitrifier populations remain largely unknown. The Baltic Sea, a brackish basin with pronounced gradients in salinity, oxygen, nutrients and strong seasonality, is a valuable model environment to investigate these questions. Here, we combined metagenomics and rRNA gene sequencing to characterise the spatiotemporal dynamics and genomic diversity of nitrifiers, alongside physicochemical measurements. Nitrifiers were persistently abundant throughout aphotic waters, with vertical niche partitioning and seasonal peaks in surface waters from late fall to early spring. The seasonal peaks were positively correlated with nitrite, nitrate and diverse other prokaryotes, and negatively correlated with solar radiation and chlorophyll. To probe the genomic basis of these ecological patterns of the numerically dominant nitrifier, we recovered five novel genomes of ammonia-oxidising archaea through metagenomics of bulk samples and selective enrichments, including the dominant taxon from aphotic depths. Comparative genomics showed high gene conservation, with variation largely in genes linked to interactions with the external environment and nitrogen and phosphorus metabolism between central surface and deep types. Together, our study provides insights into niches of Baltic Sea nitrifiers and begins the process of understanding the mechanisms and functional implications of these patterns.

Environmental MicrobiologyVol. 28(1)
Christian-Albrechts-Universität zu Kiel (DE), GEOMAR Helmholtz Centre for Ocean Research Kiel (DE)
Life below water
Openalex Percentile: Top 94%
Marine and coastal ecosystems
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Dynamics and Eco‐Genomics of Baltic Sea Nitrifiers: Seasonality, Niches, Interactions and Genomic Uniqueness — David M. Needham, Sukki Sookyoung Kim, et al. · Environmental Microbiology (2026) | TGRS Research Map | TGRS