| Literature DB >> 29681680 |
John A Darling1, Bella S Galil2, Gary R Carvalho3, Marc Rius4,5, Frédérique Viard6, Stefano Piraino7,8.
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.Entities:
Keywords: Early detection; Environmental DNA; Good environmental status; High throughput sequencing; Marine Strategy Framework Directive; Marine invasive species; Metabarcoding; Monitoring; Surveillance
Year: 2017 PMID: 29681680 PMCID: PMC5909192 DOI: 10.1016/j.marpol.2017.08.014
Source DB: PubMed Journal: Mar Policy ISSN: 0308-597X
Applications of genetic technologies to NIS surveillance objectives within the context of the MSFD. Accessibility to non-specialist is assessed based on currently available technology.
| NIS survey objective | Most relevant MSFD-related objective | Applicable technology | Specific strength (s) | Accessibility to non-specialist | Upstream research needed to increase relevance and accessibility |
|---|---|---|---|---|---|
| Validate a specific NIS identification first based on morphology | early detection of NIS | Single specimen collection | Standard and widely available laboratory method | High | Improve DNA reference data for many European NIS |
| Targeted (species-specific) surveys | early detection of NIS; Trends in NIS distribution | Bulk DNA or eDNA combined with species-specific probes (e.g. qPCR or other targeted approach) | Increasingly standardized and available molecular methods; Cost effective for surveying a large number of localities/samples | Medium | Improve reference data when lacking; standardized sampling protocols; design of sensitive and specific probes; improve models to infer population distribution from survey results |
| Targeted (taxon- or group- specific inventories (e.g. fish, protists)) | Trends in NIS distribution; Impacts to native biodiversity | Bulk DNA or eDNA combined with HTS using dedicated (taxa-specific) primers and/or dedicated reference database | Cost-effective for processing a large number of samples; potential for broad taxonomic coverage | Low | Improve reference data; standardization of bioinformatic workflows; improve inferences of relative abundance from HTS data; develop user-friendly tools |
| Non-targeted global inventories | Trends in NIS distribution; Impacts to native biodiversity; broad shifts in ecosystem structure and function | Bulk DNA or eDNA combined with HTS using “universal” primers and databases | Cost-effective for processing a large number of samples; potential for broad taxonomic coverage; surveillance of non-traditional taxa (e.g. meiofauna or microbial communities) | Low | Improve reference data; standardization of bioinformatic workflows; improve inferences of relative abundance from HTS data; develop user-friendly tools |