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      The Characteristics and Distribution of Eukaryotic Phytoplankton Community in Liaodong Bay, China

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      https://www.riss.kr/link?id=A106257876

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      다국어 초록 (Multilingual Abstract)

      Brown tides have occurred in the Bohai Sea of China since 2009 and caused serious losses in aquaculture. In recent years, phytoplankton identification has been greatly promoted by the development of high-throughput sequencing technologies. In this study, V4 region of 18S rDNA was used as the target gene to design the primer V4 (F/R), and high-throughput sequencing technology was adopted to evaluate the diversity of composition and characteristics of the eukaryotic phytoplankton community. A total of 93 alga species were identified, and about 60% (56 out of 93) of them were undetected or unreported in Chinese waters. There were 59% of the total algal species identified as autotrophy in trophic mode while heterotrophy and mixotrophy accounted for 12% and 29% of the total algal species, respectively. 8 species of picophytoplankton that were mainly distributed in the south and a partial area of the east and west formed the scientific basis for the quality and safety early-warning in aquatic products and brown rides study. Diversity index analysis also revealed a trend of fluctuations of marine phytoplankton diversity in different sample sites in Liaodong Bay. In conclusion, our work provides a detailed evaluation of eukaryotic phytoplankton diversity in Liaodong Bay, suggesting the need for long-term monitoring to further study and guard against the potential risk of harmful algal blooms.
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      Brown tides have occurred in the Bohai Sea of China since 2009 and caused serious losses in aquaculture. In recent years, phytoplankton identification has been greatly promoted by the development of high-throughput sequencing technologies. In this stu...

      Brown tides have occurred in the Bohai Sea of China since 2009 and caused serious losses in aquaculture. In recent years, phytoplankton identification has been greatly promoted by the development of high-throughput sequencing technologies. In this study, V4 region of 18S rDNA was used as the target gene to design the primer V4 (F/R), and high-throughput sequencing technology was adopted to evaluate the diversity of composition and characteristics of the eukaryotic phytoplankton community. A total of 93 alga species were identified, and about 60% (56 out of 93) of them were undetected or unreported in Chinese waters. There were 59% of the total algal species identified as autotrophy in trophic mode while heterotrophy and mixotrophy accounted for 12% and 29% of the total algal species, respectively. 8 species of picophytoplankton that were mainly distributed in the south and a partial area of the east and west formed the scientific basis for the quality and safety early-warning in aquatic products and brown rides study. Diversity index analysis also revealed a trend of fluctuations of marine phytoplankton diversity in different sample sites in Liaodong Bay. In conclusion, our work provides a detailed evaluation of eukaryotic phytoplankton diversity in Liaodong Bay, suggesting the need for long-term monitoring to further study and guard against the potential risk of harmful algal blooms.

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      참고문헌 (Reference)

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      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
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      2014-03-31 학회명변경 한글명 : 한국해양연구원 -> 한국해양과학기술원
      영문명 : Korea Ocean Research and Development Institute -> Korea Institute of Ocean Science & Technology
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      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.7 0.11 0.59
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.48 0.46 0.326 0.12
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