Collection of a Bacterial Community Reconstructed from Marine Metagenomes Derived from Jinhae Bay, South Korea

被引:0
|
作者
Lim, Jae-Hyun [1 ]
Kim, Il-Nam [2 ]
机构
[1] Natl Inst Fisheries Sci, East Sea Fisheries Res Inst, Kangnung 25435, South Korea
[2] Incheon Natl Univ, Dept Marine Sci, Incheon 22012, South Korea
关键词
marine metagenomes; microbial community; Jinhae Bay; hypoxia; COASTAL WATERS; HYPOXIA; QUALITY;
D O I
10.3390/data6050044
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Marine bacteria are known to play significant roles in marine biogeochemical cycles regarding the decomposition of organic matter. Despite the increasing attention paid to the study of marine bacteria, research has been too limited to fully elucidate the complex interaction between marine bacterial communities and environmental variables. Jinhae Bay, the study area in this work, is the most anthropogenically eutrophied coastal bay in South Korea, and while its physical and biogeochemical characteristics are well described, less is known about the associated changes in microbial communities. In the present study, we reconstructed a metagenomics data based on the 16S rRNA gene to investigate temporal and vertical changes in microbial communities at three depths (surface, middle, and bottom) during a seven-month period from June to December 2016 at one sampling site (J1) in Jinhae Bay. Of all the bacterial data, Proteobacteria, Bacteroidetes, and Cyanobacteria were predominant from June to November, whereas Firmicutes were predominant in December, especially at the middle and bottom depths. These results show that the composition of the microbial community is strongly associated with temporal changes. Furthermore, the community compositions were markedly different between the surface, middle, and bottom depths in summer, when water column stratification and bottom water hypoxia (low dissolved oxygen level) were strongly developed. Metagenomics data contribute to improving our understanding of important relationships between environmental characteristics and microbial community change in eutrophication-induced and deoxygenated coastal areas. Dataset: http://doi.org/10.5281/zenodo.4718873 Dataset License: CC-BY.
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页数:4
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