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Darling JA, Galil BS, Carvalho GR, et al. Recommendations for developing and applying genetic tools to assess and manage biological invasions in marine ecosystems. Mar Policy. 2017;85:56-64doi: 10.1016/j.marpol.2017.08.014.
Darling, J. A., Galil, B. S., Carvalho, G. R., Rius, M., Viard, F., & Piraino, S. (2017). Recommendations for developing and applying genetic tools to assess and manage biological invasions in marine ecosystems. Marine policy, 8556-64. https://doi.org/10.1016/j.marpol.2017.08.014
Darling, John A, et al. "Recommendations for developing and applying genetic tools to assess and manage biological invasions in marine ecosystems." Marine policy vol. 85 (2017): 56-64. doi: https://doi.org/10.1016/j.marpol.2017.08.014
Darling JA, Galil BS, Carvalho GR, Rius M, Viard F, Piraino S. Recommendations for developing and applying genetic tools to assess and manage biological invasions in marine ecosystems. Mar Policy. 2017;85:56-64. doi: 10.1016/j.marpol.2017.08.014. PMID: 29681680; PMCID: PMC5909192.
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Mar Policy. 2017;85:56-64. doi: 10.1016/j.marpol.2017.08.014.

Recommendations for developing and applying genetic tools to assess and manage biological invasions in marine ecosystems.

Marine policy

John A Darling, Bella S Galil, Gary R Carvalho, Marc Rius, Frédérique Viard, Stefano Piraino

Affiliations

  1. National Exposure Research Laboratory, United States Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711, USA.
  2. The Steinhardt Museum of Natural History, Israel National Center for Biodiversity Studies, Tel Aviv University, Tel Aviv 6997801, Israel.
  3. School of Biological Sciences, University of Bangor, UK.
  4. Ocean and Earth Science, National Oceanography Centre, University of Southampton, UK.
  5. Centre for Ecological Genomics and Wildlife Conservation, University of Johannesburg, South Africa.
  6. Sorbonne Université, Université Paris 06, CNRS, UMR 7144 AD2M, Station Biologique de Roscoff, Place Georges Teissier, 29680 Roscoff, France.
  7. Dipartimento di Scienze e Tecnologie Biologiche ed Ambientali, Università del Salento, Lecce, Italy.
  8. Consorzio Nazionale Interuniversitario per le Scienze del Mare (CoNISMa), Roma, Italy.

PMID: 29681680 PMCID: PMC5909192 DOI: 10.1016/j.marpol.2017.08.014

Abstract

The European Union's Marine Strategy Framework Directive (MSFD) aims to adopt integrated ecosystem management approaches to achieve or maintain "Good Environmental Status" for marine waters, habitats and resources, including mitigation of the negative effects of non-indigenous species (NIS). The Directive further seeks to promote broadly standardized monitoring efforts and assessment of temporal trends in marine ecosystem condition, incorporating metrics describing the distribution and impacts of NIS. Accomplishing these goals will require application of advanced tools for NIS surveillance and risk assessment, particularly given known challenges associated with surveying and monitoring with traditional methods. In the past decade, a host of methods based on nucleic acids (DNA and RNA) analysis have been developed or advanced that promise to dramatically enhance capacity in assessing and managing NIS. However, ensuring that these rapidly evolving approaches remain accessible and responsive to the needs of resource managers remains a challenge. This paper provides recommendations for future development of these genetic tools for assessment and management of NIS in marine systems, within the context of the explicit requirements of the MSFD. Issues considered include technological innovation, methodological standardization, data sharing and collaboration, and the critical importance of shared foundational resources, particularly integrated taxonomic expertise. Though the recommendations offered here are not exhaustive, they provide a basis for future intentional (and international) collaborative development of a genetic toolkit for NIS research, capable of fulfilling the immediate and long term goals of marine ecosystem and resource conservation.

Keywords: Early detection; Environmental DNA; Good environmental status; High throughput sequencing; Marine Strategy Framework Directive; Marine invasive species; Metabarcoding; Monitoring; Surveillance

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