Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/108189
Title: DNA Sequencing as a Tool to Monitor Marine Ecological Status
Authors: Goodwin, Kelly D.
Thompson, Luke R.
Duarte, Bernardo 
Kahlke, Tim
Thompson, Andrew R.
Marques, João C. 
Caçador, Isabel 
Keywords: metagenetics; metagenomics; metabarcoding; eDNA; marine biological quality element (BQE); good ecological status (GES); biodiversity and ecosystem function (BEF)
Issue Date: 2017
Publisher: Frontiers Media S.A.
Project: UID/MAR/04292/2013 
SFRH/BPD/115162/2016 
NOAA’s Atlantic Oceanographic and Meteorological Laboratory (AOML) and the Mississippi State University/NOAA Northern Gulf Institute. 
Serial title, monograph or event: Frontiers in Marine Science
Volume: 4
Issue: MAY
Abstract: Many ocean policies mandate integrated, ecosystem-based approaches to marine monitoring, driving a global need for efficient, low-cost bioindicators of marine ecological quality. Most traditional methods to assess biological quality rely on specialized expertise to provide visual identification of a limited set of specific taxonomic groups, a time-consuming process that can provide a narrow view of ecological status. In addition, microbial assemblages drive food webs but are not amenable to visual inspection and thus are largely excluded from detailed inventory. Molecular-based assessments of biodiversity and ecosystem function offer advantages over traditional methods and are increasingly being generated for a suite of taxa using a “microbes to mammals” or “barcodes to biomes” approach. Progress in these efforts coupled with continued improvements in high-throughput sequencing and bioinformatics pave the way for sequence data to be employed in formal integrated ecosystem evaluation, including food web assessments, as called for in the European Union Marine Strategy Framework Directive. DNA sequencing of bioindicators, both traditional (e.g., benthic macroinvertebrates, ichthyoplankton) and emerging (e.g., microbial assemblages, fish via eDNA), promises to improve assessment of marine biological quality by increasing the breadth, depth, and throughput of information and by reducing costs and reliance on specialized taxonomic expertise.
URI: https://hdl.handle.net/10316/108189
ISSN: 2296-7745
DOI: 10.3389/fmars.2017.00107
Rights: openAccess
Appears in Collections:I&D MARE - Artigos em Revistas Internacionais

Files in This Item:
Show full item record

Google ScholarTM

Check

Altmetric

Altmetric


This item is licensed under a Creative Commons License Creative Commons