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Functional Metagenomic Investigations of Microbial Communities in a Shallow-Sea Hydrothermal System

Overview of attention for article published in PLOS ONE, August 2013
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Title
Functional Metagenomic Investigations of Microbial Communities in a Shallow-Sea Hydrothermal System
Published in
PLOS ONE, August 2013
DOI 10.1371/journal.pone.0072958
Pubmed ID
Authors

Kai Tang, Keshao Liu, Nianzhi Jiao, Yao Zhang, Chen-Tung Arthur Chen

Abstract

Little is known about the functional capability of microbial communities in shallow-sea hydrothermal systems (water depth of <200 m). This study analyzed two high-throughput pyrosequencing metagenomic datasets from the vent and the surface water in the shallow-sea hydrothermal system offshore NE Taiwan. This system exhibited distinct geochemical parameters. Metagenomic data revealed that the vent and the surface water were predominated by Epsilonproteobacteria (Nautiliales-like organisms) and Gammaproteobacteria (Thiomicrospira-like organisms), respectively. A significant difference in microbial carbon fixation and sulfur metabolism was found between the vent and the surface water. The chemoautotrophic microorganisms in the vent and in the surface water might possess the reverse tricarboxylic acid cycle and the Calvin-Bassham-Benson cycle for carbon fixation in response to carbon dioxide highly enriched in the environment, which is possibly fueled by geochemical energy with sulfur and hydrogen. Comparative analyses of metagenomes showed that the shallow-sea metagenomes contained some genes similar to those present in other extreme environments. This study may serve as a basis for deeply understanding the genetic network and functional capability of the microbial members of shallow-sea hydrothermal systems.

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The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Italy 1 <1%
Australia 1 <1%
South Africa 1 <1%
India 1 <1%
China 1 <1%
United States 1 <1%
Unknown 99 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 24%
Researcher 18 17%
Student > Master 16 15%
Other 8 8%
Student > Bachelor 7 7%
Other 16 15%
Unknown 16 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 38%
Biochemistry, Genetics and Molecular Biology 15 14%
Environmental Science 13 12%
Computer Science 5 5%
Engineering 4 4%
Other 13 12%
Unknown 16 15%