Distinct patterns of marine bacterial communities in the South and North Pacific Oceans

The study of oceanic microbial communities is crucial for our understanding of the role of microbes in terms of biomass, diversity and ecosystem function. In this study, 16S rRNA gene tag pyrosequencing was used to investigate change in bacterial community structure between summer and winter water m...

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Published inThe journal of microbiology Vol. 52; no. 10; pp. 834 - 841
Main Authors Suh, Sung-Suk, Park, Mirye, Hwang, Jinik, Lee, Sukchan, Chung, Youngjae, Lee, Taek-Kyun
Format Journal Article
LanguageEnglish
Published Heidelberg Springer-Verlag 01.10.2014
The Microbiological Society of Korea
Springer Nature B.V
한국미생물학회
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ISSN1225-8873
1976-3794
1976-3794
DOI10.1007/s12275-014-4287-6

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Summary:The study of oceanic microbial communities is crucial for our understanding of the role of microbes in terms of biomass, diversity and ecosystem function. In this study, 16S rRNA gene tag pyrosequencing was used to investigate change in bacterial community structure between summer and winter water masses from Gosung Bay in the South Sea of Korea and Chuuk in Micronesia, located in the North and South Pacific Oceans, respectively. Summer and winter sampling from each water mass revealed highly diverse bacterial communities, containing ~900 Operational Taxonomic Units (OTUs). The microbial distribution and highly heterogeneous composition observed at both sampling sites were different from those of most macroorganisms. The bacterial communities in the seawater at both sites were most abundant in Proteobacteria during the summer in Gosung and in Bacterioidetes during the winter. The proportion of Cyanobacteria was higher in summer than in winter in Chuuk and similar in Gosung. Additionally, the microbial community during summer in Gosung was significantly different from other communities observed based on the unweighted UniFrac distance. These data suggest that in both oceanic areas sampled, the bacterial communities had distinct distribution patterns with spatially- and temporally-heterogeneous distributions.
Bibliography:http://dx.doi.org/10.1007/s12275-014-4287-6
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G704-000121.2014.52.10.004
ISSN:1225-8873
1976-3794
1976-3794
DOI:10.1007/s12275-014-4287-6