Title |
Genomics in marine monitoring: New opportunities for assessing marine health status
|
---|---|
Published in |
Marine Pollution Bulletin, September 2013
|
DOI | 10.1016/j.marpolbul.2013.05.042 |
Pubmed ID | |
Authors |
Sarah J. Bourlat, Angel Borja, Jack Gilbert, Martin I. Taylor, Neil Davies, Stephen B. Weisberg, John F. Griffith, Teresa Lettieri, Dawn Field, John Benzie, Frank Oliver Glöckner, Naiara Rodríguez-Ezpeleta, Daniel P. Faith, Tim P. Bean, Matthias Obst |
Abstract |
This viewpoint paper explores the potential of genomics technology to provide accurate, rapid, and cost efficient observations of the marine environment. The use of such approaches in next generation marine monitoring programs will help achieve the goals of marine legislation implemented world-wide. Genomic methods can yield faster results from monitoring, easier and more reliable taxonomic identification, as well as quicker and better assessment of the environmental status of marine waters. A summary of genomic methods that are ready or show high potential for integration into existing monitoring programs is provided (e.g. qPCR, SNP based methods, DNA barcoding, microarrays, metagenetics, metagenomics, transcriptomics). These approaches are mapped to existing indicators and descriptors and a series of case studies is presented to assess the cost and added value of these molecular techniques in comparison with traditional monitoring systems. Finally, guidelines and recommendations are suggested for how such methods can enter marine monitoring programs in a standardized manner. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 40% |
Unknown | 6 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 80% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
Scientists | 1 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | <1% |
Germany | 3 | <1% |
Spain | 3 | <1% |
France | 2 | <1% |
Portugal | 2 | <1% |
Italy | 2 | <1% |
Brazil | 2 | <1% |
Malaysia | 1 | <1% |
Australia | 1 | <1% |
Other | 6 | 1% |
Unknown | 455 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 120 | 25% |
Student > Ph. D. Student | 93 | 19% |
Student > Master | 86 | 18% |
Student > Bachelor | 34 | 7% |
Other | 23 | 5% |
Other | 66 | 14% |
Unknown | 59 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 193 | 40% |
Environmental Science | 97 | 20% |
Biochemistry, Genetics and Molecular Biology | 48 | 10% |
Earth and Planetary Sciences | 17 | 4% |
Computer Science | 8 | 2% |
Other | 38 | 8% |
Unknown | 80 | 17% |