Dynamic genetic features of eukaryotic plankton diversity in the Nakdong River estuary of Korea -- Journal of Oceanology and Limnology,2017,35(4):844-857

	Cite this paper:
	LEE Jee Eun, CHUNG Ik Kyo, LEE Sang-Rae. Dynamic genetic features of eukaryotic plankton diversity in the Nakdong River estuary of Korea[J]. Journal of Oceanology and Limnology, 2017, 35(4): 844-857

Dynamic genetic features of eukaryotic plankton diversity in the Nakdong River estuary of Korea

LEE Jee Eun¹, CHUNG Ik Kyo¹, LEE Sang-Rae²

1 Division of Earth Environmental System Oceanography Major, Pusan National University, Busan 46241, Korea;
2 Marine Research Institute, Pusan National University, Busan 46241, Korea

Abstract:

Estuaries are environments where freshwater and seawater mix and they display various salinity profiles. The construction of river barrages and dams has rapidly changed these environments and has had a wide range of impacts on plankton communities. To understand the dynamics of such communities, researchers need accurate and rapid techniques for detecting plankton species. We evaluated the diversity of eukaryotic plankton over a salinity gradient by applying a metagenomics tool at the Nakdong River estuary in Korea. Environmental samples were collected on three dates during summer and autumn of 2011 at the Eulsukdo Bridge at the mouth of that river. Amplifying the 18S rDNA allowed us to analyze 456 clones and 122 phylotypes. Metagenomic sequences revealed various taxonomic groups and cryptic genetic variations at the intra-and inter-specific levels. By analyzing the same station at each sampling date, we observed that the phylotypes presented a salinity-related pattern of diversity in assemblages. The variety of species within freshwater samples reflected the rapid environmental changes caused by freshwater inputs. Dinophyceae phylotypes accounted for the highest proportion of overall diversity in the seawater samples. Euryhaline diatoms and dinoflagellates were observed in the freshwater, brackish and seawater samples. The biological data for species composition demonstrate the transitional state between freshwater and seawater. Therefore, this metagenomics information can serve as a biological indicator for tracking changes in aquatic environments.

Key words: 18S rDNA|clone library|metagenome|estuary|salinity gradient

Received: 2016-03-14 Revised: 2016-04-20

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Articles by CHUNG Ik Kyo

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