Temporal changes in TBT pollution in water, sediment, and oyster from Jinhae Bay after the total ban in South Korea

2014 ◽  
Vol 86 (1-2) ◽  
pp. 547-554 ◽  
Author(s):  
Nam Sook Kim ◽  
Sang Hee Hong ◽  
Un Hyuk Yim ◽  
Kyung-Hoon Shin ◽  
Won Joon Shim
2018 ◽  
Vol 28 (2) ◽  
pp. 65-77 ◽  
Author(s):  
Jiyoung Lee ◽  
Jae-Hyun Lim ◽  
Junhyung Park ◽  
Il-Nam Kim

Microbial communities play an essential role in marine biogeochemical cycles. Physical and biogeochemical changes in Jinhae Bay, the most anthropogenically eutrophied bay on the coasts of South Korea, are well described, but less is known about the associated changes in microbial communities. Temporal and vertical variation in microbial communities at three depths (surface, middle, and bottom) at seven time points (June to December) at the J1 sampling site were investigated on the MiSeq platform based on the 16S rRNA gene. Overall, the microbial community was dominated by Proteobacteria, Cyanobacteria, and Bacteroidetes from June to November, whereas Firmicutes were dominant in December, especially in the middle and bottom layers. The results indicate that the microbial community composition strongly varied with temporal changes in the physicochemical water properties. Moreover, the community composition differed markedly between the surface and middle layers and the bottom layer in the summer, when the water column was strongly stratified and bottom water hypoxia developed. A redundancy analysis suggested a significant correlation between physicochemical variables (i.e., temperature, salinity, and oxygen concentration) and microbial community composition. This study indicates that temporal changes in water conditions and eutrophication-induced hypoxia effectively shape the structure of the microbial community.


Data ◽  
2021 ◽  
Vol 6 (5) ◽  
pp. 44
Author(s):  
Jae-Hyun Lim ◽  
Il-Nam Kim

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.


2018 ◽  
Vol 85 ◽  
pp. 1481-1485 ◽  
Author(s):  
Jae-Hyun Lim ◽  
Sang Heon Lee ◽  
Junhyung Park ◽  
Jiyoung Lee ◽  
Joo-Eun Yoon ◽  
...  

2006 ◽  
Vol 15 (9) ◽  
pp. 819-827 ◽  
Author(s):  
Hyun-Taik Oh ◽  
Won-Chan Lee ◽  
Jun-Ho Koo ◽  
Sung-Eun Park ◽  
Sok-Jin Hong ◽  
...  

2017 ◽  
Vol 73 (2) ◽  
pp. 301-309 ◽  
Author(s):  
Nam Sook Kim ◽  
Sang Hee Hong ◽  
Kyung-Hoon Shin ◽  
Won Joon Shim
Keyword(s):  

Author(s):  
Jun-Sik Lim ◽  
Eunbi Noh ◽  
Eunha Shim ◽  
Sukhyun Ryu

Abstract In order to identify the temporal change in the possible risk of superspreading events (SSE), we estimated the overdispersion parameter in two different periods of COVID-19 pandemic. We identified the possible risk of SSE was reduced 90% during the second epidemic period in South Korea.


2019 ◽  
Vol 128 ◽  
pp. 309-317 ◽  
Author(s):  
Jinmo Ahn ◽  
Won-Seok Kim ◽  
Jin-Beak Park ◽  
Arokiasamy J. Francis ◽  
Wooyong Um

2016 ◽  
Vol 52 (1) ◽  
pp. 24-35 ◽  
Author(s):  
Junseong PARK ◽  
Jeong-hoon LEE ◽  
Kangseok HWANG ◽  
Hyung Kee CHA ◽  
Junsu PARK ◽  
...  

PLoS ONE ◽  
2017 ◽  
Vol 12 (3) ◽  
pp. e0174390 ◽  
Author(s):  
Chang-Kyun Park ◽  
Chang-Hoi Ho ◽  
Su-Jong Jeong ◽  
Eun Ju Lee ◽  
Jinwon Kim

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