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Cited by 182

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Metaproteomics reveals differential modes of metabolic coupling among ubiquitous oxygen minimum zone microbes

Open access
Hawley, Alyse K., Brewer, Heather M., Norbeck, Angela D., Paša-Tolić, Ljiljana, Hallam, Steven J.·2014·Proceedings of the National Academy of Sciences

Abstract

Significance: Oxygen is an important organizing principle in marine ecosystems. As oxygen levels decline, energy is increasingly diverted away from higher trophic levels into microbial community metabolism causing changes in carbon and nutrient cycling. Here we use metagenomic and metaproteomic methods to chart in situ metabolic networks linking key microbial players driving carbon and nutrient cycling in a seasonally stratified fjord, Saanich Inlet, a model ecosystem for studying microbial responses to changing levels of water column oxygen deficiency. Based on this evidence, we develop a conceptual model that describes coupling of chemotrophic energy production with dark carbon fixation along defined redox gradients with implications for primary production and possibly carbon sedimentation in expanding marine oxygen minimum zones.

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Metadata

Authors
Hawley, A. K., Brewer, H. M., Norbeck, A. D., Paša-Tolić, L., & Hallam, S. J.
Venue
Proceedings of the National Academy of Sciences
Published
2014-07-22
Volume
111
Issue
31
Pages
11395-11400
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2081781950
Cited by
182
References
2
FWCI
15.10
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Metaproteomics reveals differential modes of metabolic coupling among ubiquitous oxygen minimum zone microbes. https://app.cochat.ai/papers/10.1073/pnas.1322132111
The paper
Hawley, A. K., Brewer, H. M., Norbeck, A. D., Paša-Tolić, L., & Hallam, S. J. (2014). Metaproteomics reveals differential modes of metabolic coupling among ubiquitous oxygen minimum zone microbes. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1322132111

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.