ArticleMicrobial ecology2022
Exploration of the Types of Rarity in the Arctic Ocean from the Perspective of Multiple Methodologies.
Article in Microbial ecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Definition of the microbial rare biosphere through unsupervised machine learning.Communications biology · 2025Article
- Inter-comparison of marine microbiome sampling protocols.ISME communications · 2023Article
- Sole microbiome progression in a hatchery life cycle, from egg to juvenile.Frontiers in microbiology · 2023Article
- Seasonal microbial dynamics in the ocean inferred from assembled and unassembled data: a view on the unknown biosphere.ISME communications · 2022Article
- Contamination analysis of Arctic ice samples as planetary field analogs and implications for future life-detection missions to Europa and Enceladus.Scientific reports · 2022Article
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Authors and funding
5 authors.
Funding
Abstract
The Arctic Ocean is facing rapid environmental changes with cascading effects on the entire Arctic marine ecosystem. However, we have a limited understanding of the consequences such changes have on bacteria and archaea (prokaryotes) at the base of the marine food web. In this study, we show how the prokaryotic rare biosphere behaves over a range of highly heterogeneous environmental conditions using 16S rRNA gene reads from amplicon and metagenome sequencing data from seawater samples collected during the Norwegian young sea ICE expedition between late winter and early summer. The prokaryotic rare biosphere was analyzed using different approaches: amplicon sequence variants and operational taxonomic units from the 16S rRNA gene amplicons and operational taxonomic units from the 16S rRNA genes of the metagenomes. We found that prokaryotic rare biosphere communities are specific to certain water masses, and that the majority of the rare taxa identified were always rare and disappeared in at least one sample under changing conditions, suggesting their high sensitivity to environmental heterogeneity. In addition, our methodological comparison revealed a good performance of 16S rRNA gene amplicon sequencing in describing rare biosphere patterns, while the metagenome-derived data were better to capture a significant diversity of so-far uncultivated rare taxa. Our analysis on the dynamics of the rare prokaryotic biosphere, by combining different methodological approaches, improves the description of the types of rarity predicted from Community Assembly theory in the Arctic Ocean.
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Registered trials
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