4.7 Article

Characteristics of long-term changes in microbial communities from contaminated sediments along the west coast of South Korea: Ecological assessment with eDNA and physicochemical analyses

Journal

MARINE POLLUTION BULLETIN
Volume 160, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.marpolbul.2020.111592

Keywords

Environmental DNA; In situ microbial community; Next-generation sequencing; Persistent toxic substance; In vitro bioassay; Sediment pollution

Funding

  1. National Research Foundation (NRF) - South Korean government [2017R1E1A1A01075067]
  2. project entitled Marine Ecosystem-Based Analysis and Decision-Making Support System Development for Marine Spatial Planning - Ministry of Oceans and Fisheries (MOF), South Korea [20170325]
  3. National Research Foundation of Korea [2017R1E1A1A01075067] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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The environmental DNA (eDNA) metabarcoding was applied to assess benthic ecological health in the west coast of South Korea by investigating a long-term microbial community change (2015-17). The ecological interaction among microorganisms, from phylum to family level, and their associations to environmental variables across the five regions were highlighted. As part of the study, the available chemistry and toxicological data in the regions during the monitoring periods were incorporated into an integrated sediment triad assessment. The bacterial communities were dominated by Proteobacteria (34.2%), Bacteroidetes (13.8%), and Firmicutes (10.8%). Proteobacteria and Bacteroidetes dominated consistently across regions and years, while Firmicutes and Cyanobacteria significantly varied by region and years (p < 0.05). The abundance of this phylum declined over time with the increasing abundance of Cyanobacteria, indicating their independent interactions to certain environmental changes. Planctomycetes and Gemmatimonadetes linked to some contaminants (Sigma PAHs and Cu), implying indicator taxa. Overall, eDNA-based microbial community analysis combined with exposures of con-taminants and responses of microorganisms is a promising strategy for the assessment of benthic ecological health in contaminated sediments from coastal waters.

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