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Metagenomic Analysis of Genes Encoding Nutrient Cycling Pathways in the Microbiota of Deep-Sea and Shallow-Water Sponges

Overview of attention for article published in Marine Biotechnology, November 2016
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Title
Metagenomic Analysis of Genes Encoding Nutrient Cycling Pathways in the Microbiota of Deep-Sea and Shallow-Water Sponges
Published in
Marine Biotechnology, November 2016
DOI 10.1007/s10126-016-9725-5
Pubmed ID
Authors

Zhiyong Li, Yuezhu Wang, Jinlong Li, Fang Liu, Liming He, Ying He, Shenyue Wang

Abstract

Sponges host complex symbiotic communities, but to date, the whole picture of the metabolic potential of sponge microbiota remains unclear, particularly the difference between the shallow-water and deep-sea sponge holobionts. In this study, two completely different sponges, shallow-water sponge Theonella swinhoei from the South China Sea and deep-sea sponge Neamphius huxleyi from the Indian Ocean, were selected to compare their whole symbiotic communities and metabolic potential, particularly in element transformation. Phylogenetically diverse bacteria, archaea, fungi, and algae were detected in both shallow-water sponge T. swinhoei and deep-sea sponge N. huxleyi, and different microbial community structures were indicated between these two sponges. Metagenome-based gene abundance analysis indicated that, though the two sponge microbiota have similar core functions, they showed different potential strategies in detailed metabolic processes, e.g., in the transformation and utilization of carbon, nitrogen, phosphorus, and sulfur by corresponding microbial symbionts. This study provides insight into the putative metabolic potentials of the microbiota associated with the shallow-water and deep-sea sponges at the whole community level, extending our knowledge of the sponge microbiota's functions, the association of sponge- microbes, as well as the adaption of sponge microbiota to the marine environment.

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The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
Unknown 83 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 20%
Student > Bachelor 12 14%
Student > Doctoral Student 9 11%
Researcher 9 11%
Student > Master 9 11%
Other 11 13%
Unknown 18 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 33%
Biochemistry, Genetics and Molecular Biology 14 16%
Environmental Science 9 11%
Immunology and Microbiology 7 8%
Engineering 2 2%
Other 5 6%
Unknown 20 24%