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Environmental DNA Metabarcoding: A Novel Method for Biodiversity Monitoring of Marine Fish Communities

期刊

ANNUAL REVIEW OF MARINE SCIENCE
卷 14, 期 -, 页码 161-185

出版社

ANNUAL REVIEWS
DOI: 10.1146/annurev-marine-041421-082251

关键词

eDNA; marine conservation; fisheries management; fish ecology; Sustainable Development Goals; biodiversity

资金

  1. Core Research for Evolutional Science and Technology (CREST) program of the Japan Science and Technology Agency [JPMJCR13A2]
  2. Canon Foundation
  3. Environment Research and Technology Development Fund of the Japanese Ministry of the Environment [4-1602, JPMEERF20S20720]
  4. Japan Society for the Promotion of Science [JP19H03291]
  5. Ocean Resource Use Promotion Technology Development Program of the Japanese Ministry of Education, Culture, Sports, Science, and Technology [JPMXD0618068274]

向作者/读者索取更多资源

This article reviews the application of eDNA metabarcoding in monitoring marine fish communities and discusses its prospects in biodiversity monitoring. eDNA metabarcoding can predict species richness, detect habitat segregation and biogeographic patterns, and monitor the dynamics of fish communities. It can also assess the impact of human activities on fish communities.
Environmental DNA (eDNA) is genetic material that has been shed from macroorganisms. It has received increased attention as an indirect marker for biodiversity monitoring. This article reviews the current status of eDNA metabarcoding (simultaneous detection of multiple species) as a noninvasive and cost-effective approach for monitoring marine fish communities and discusses the prospects for this growing field. eDNA metabarcoding coamplifies short fragments of fish eDNA across a wide variety of taxa and, coupled with high-throughput sequencing technologies, allows massively parallel sequencing to be performed simultaneously for dozens to hundreds of samples. It can predict species richness in a given area, detect habitat segregation and biogeographic patterns from small to large spatial scales, and monitor the spatiotemporal dynamics of fish communities. In addition, it can detect an anthropogenic impact on fish communities through evaluation of their functional diversity. Recognizing the strengths and limitations of eDNAmetabarcoding will help ensure that continuous biodiversity monitoring at multiple sites will be useful for ecosystem conservation and sustainable use of fishery resources, possibly contributing to achieving the targets of the United Nations' Sustainable Development Goal 14 for 2030.

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