Molecular-based approach for revealing community struc ture and diversity of marine zooplankton

DOI Web Site Web Site 30 References
  • Hirai Junya
    Atmosphere and Ocean Research Institute, The University of Tokyo

Bibliographic Information

Other Title
  • 分子生物学的手法を用いた動物プランクトンの群集構造解析と
  • 分子生物学的手法を用いた動物プランクトンの群集構造解析と多様性に関する研究 : 2020年度日本海洋学会岡田賞受賞記念論文
  • ブンシ セイブツガクテキ シュホウ オ モチイタ ドウブツ プランクトン ノ グンシュウ コウゾウ カイセキ ト タヨウセイ ニ カンスル ケンキュウ : 2020ネンド ニホン カイヨウ ガッカイ オカダショウ ジュショウ キネン ロンブン

Search this article

Abstract

<p>Zooplankton plays an essential role in marine pelagic ecosystems. They are generally classified into species based on their morphology. The morphological classification requires expertise, resulting in issues with the identification of cryptic species and immature stages of zooplankton, which are difficult to identify morphologically. In this study, we propose a metabarcoding method using high-throughput sequencing to show the diversity and community structure of zooplankton, independent of morphological classification. First, we select an appropriate molecular marker for metabarcoding analysis of copepods, which are highly diverse and abundant. A bioinformatics protocol was also developed to understand copepod communities using large amounts of sequence data. The proposed method was then applied to zooplankton communities in the Pacific area to show large-scale patterns of copepod community structure and species diversity. The metabarcoding approach was applied to a dietary analysis of fish larvae and biomonitoring of zooplankton, contributing to the understanding of food web structures and changes in marine ecosystems.</p>

Journal

  • Oceanography in Japan

    Oceanography in Japan 30 (1), 1-13, 2021-01-15

    The Oceanographic Society of Japan

References(30)*help

See more

Keywords

Details 詳細情報について

Report a problem

Back to top