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Analysis of the Global Ocean Sampling (GOS) Project for Trends in Iron Uptake by Surface Ocean Microbes

Overview of attention for article published in PLOS ONE, February 2012
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Title
Analysis of the Global Ocean Sampling (GOS) Project for Trends in Iron Uptake by Surface Ocean Microbes
Published in
PLOS ONE, February 2012
DOI 10.1371/journal.pone.0030931
Pubmed ID
Authors

Eve Toulza, Alessandro Tagliabue, Stéphane Blain, Gwenael Piganeau

Abstract

Microbial metagenomes are DNA samples of the most abundant, and therefore most successful organisms at the sampling time and location for a given cell size range. The study of microbial communities via their DNA content has revolutionized our understanding of microbial ecology and evolution. Iron availability is a critical resource that limits microbial communities' growth in many oceanic areas. Here, we built a database of 2319 sequences, corresponding to 140 gene families of iron metabolism with a large phylogenetic spread, to explore the microbial strategies of iron acquisition in the ocean's bacterial community. We estimate iron metabolism strategies from metagenome gene content and investigate whether their prevalence varies with dissolved iron concentrations obtained from a biogeochemical model. We show significant quantitative and qualitative variations in iron metabolism pathways, with a higher proportion of iron metabolism genes in low iron environments. We found a striking difference between coastal and open ocean sites regarding Fe(2+) versus Fe(3+) uptake gene prevalence. We also show that non-specific siderophore uptake increases in low iron open ocean environments, suggesting bacteria may acquire iron from natural siderophore-like organic complexes. Despite the lack of knowledge of iron uptake mechanisms in most marine microorganisms, our approach provides insights into how the iron metabolic pathways of microbial communities may vary with seawater iron concentrations.

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The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
Indonesia 1 <1%
Chile 1 <1%
France 1 <1%
Hong Kong 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Taiwan 1 <1%
Other 2 1%
Unknown 127 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 29%
Researcher 28 20%
Student > Master 15 11%
Student > Bachelor 11 8%
Professor > Associate Professor 7 5%
Other 18 13%
Unknown 19 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 33%
Earth and Planetary Sciences 28 20%
Environmental Science 19 14%
Biochemistry, Genetics and Molecular Biology 16 12%
Chemistry 3 2%
Other 4 3%
Unknown 23 17%