Marine Science Faculty Publications
Molecular Approaches for an Operational Marine Biodiversity Observation Network
Document Type
Book Chapter
Publication Date
2019
Keywords
eDNA, Marine biodiversity, MBON, Metagenomics, Molecular biology, ‘omics, Observing network
Digital Object Identifier (DOI)
https://doi.org/10.1016/B978-0-12-805052-1.00032-2
Abstract
Biological health underpins ecosystem services, including the production of food from the sea. Therefore, many policy frameworks rely on biological observations to guide the sustainable use of marine resources. For example, a marine biodiversity observation network can provide evidence of ecosystem degradation, remediation success, and progress toward goals of sustainable development. The utility of biodiversity observations is limited, however, if measurements are not standardized to allow comparisons across space and time or if they are too difficult or expensive to make routinely or at large scale. Molecular approaches (e.g., metagenomics, metabarcoding, eDNA, metatranscriptomics) offer efficiencies in sample collection and processing and provide analysis across trophic levels compared to traditional methods. Increased affordability and throughput of nucleic acid sequencing allow integration of molecular biological techniques into operational monitoring with the potential benefit of expanding the spatial and temporal scale of biological observations.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Molecular Approaches for an Operational Marine Biodiversity Observation Network, in C. Sheppard (Ed.), World Seas: An Environmental Evaluation, Second Edition, Volume Three: Ecological Issues and Environmental Impacts, Academic Press, p. 613-631
Scholar Commons Citation
Goodwin, Kelly D.; Muller-Karger, Frank E.; Djurhuus, Anni; Allen, Lisa Zeigler; Allen, Andrew E.; McCrow, John P.; and Hyde, Gabrielle Canonico, "Molecular Approaches for an Operational Marine Biodiversity Observation Network" (2019). Marine Science Faculty Publications. 630.
https://digitalcommons.usf.edu/msc_facpub/630
