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Cited by 264

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

Gene-associated markers provide tools for tackling illegal fishing and false eco-certification

Open access
Nielsen, Einar E., Cariani, Alessia, Aoidh, Eoin Mac, Maes, Gregory E., Milano, Ilaria, Ogden, Rob, Taylor, Martin, Hemmer-Hansen, Jakob, Babbucci, Massimiliano, Bargelloni, Luca, Bekkevold, Dorte, Diopere, Eveline, Grenfell, Leonie, Helyar, Sarah, Limborg, Morten T., Martinsohn, Jann T., McEwing, Ross, Panitz, Frank, Patarnello, Tomaso, Tinti, Fausto, Van Houdt, Jeroen K. J., Volckaert, Filip A. M., Waples, Robin S., FishPopTrace consortium, Albin, Jan E. J., Vieites Baptista, Juan M., Barmintsev, Vladimir, Bautista, José M., Bendixen, Christian, Bergé, Jean-Pascal, Blohm, Dietmar, Cardazzo, Barbara, Diez, Amalia, Espiñeira, Montserrat, Geffen, Audrey J., Gonzalez, Elena, González-Lavín, Nerea, Guarniero, Ilaria, Jeráme, Marc, Kochzius, Marc, Krey, Grigorius, Mouchel, Olivier, Negrisolo, Enrico, Piccinetti, Corrado, Puyet, Antonio, Rastorguev, Sergey, Smith, Jane P., Trentini, Massimo, Verrez-Bagnis, Véronique, Volkov, Alexander, Zanzi, Antonella, Carvalho, Gary R.·2012·Nature Communications
DOI 10.1038/ncomms1845
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Abstract

Illegal, Unreported and Unregulated fishing has had a major role in the overexploitation of global fish populations. In response, international regulations have been imposed and many fisheries have been 'eco-certified' by consumer organizations, but methods for independent control of catch certificates and eco-labels are urgently needed. Here we show that, by using gene-associated single nucleotide polymorphisms, individual marine fish can be assigned back to population of origin with unprecedented high levels of precision. By applying high differentiation single nucleotide polymorphism assays, in four commercial marine fish, on a pan-European scale, we find 93-100% of individuals could be correctly assigned to origin in policy-driven case studies. We show how case-targeted single nucleotide polymorphism assays can be created and forensically validated, using a centrally maintained and publicly available database. Our results demonstrate how application of gene-associated markers will likely revolutionize origin assignment and become highly valuable tools for fighting illegal fishing and mislabelling worldwide.

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Metadata

Authors
Nielsen, E. E., Cariani, A., Aoidh, E. M., Maes, G. E., Milano, I., Ogden, R., Taylor, M., Hemmer-Hansen, J., Babbucci, M., Bargelloni, L., Bekkevold, D., Diopere, E., Grenfell, L., Helyar, S., Limborg, M. T., Martinsohn, J. T., McEwing, R., Panitz, F., Patarnello, T., Tinti, F., Van Houdt, J. K. J., Volckaert, F. A. M., Waples, R. S., FishPopTrace consortium, Albin, J. E. J., Vieites Baptista, J. M., Barmintsev, V., Bautista, J. M., Bendixen, C., Bergé, J.-P., Blohm, D., Cardazzo, B., Diez, A., Espiñeira, M., Geffen, A. J., Gonzalez, E., González-Lavín, N., Guarniero, I., Jeráme, M., Kochzius, M., Krey, G., Mouchel, O., Negrisolo, E., Piccinetti, C., Puyet, A., Rastorguev, S., Smith, J. P., Trentini, M., Verrez-Bagnis, V., Volkov, A., Zanzi, A., & Carvalho, G. R.
Venue
Nature Communications
Publisher
Springer Science and Business Media LLC
Published
2012-05-22
Volume
3
Issue
1
Pages
851-851
ISSN
2041-1723 (ISSN-L)
DOI
10.1038/ncomms1845
OpenAlex
W2129853163
Cited by
264
References
29
FWCI
8.25
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Gene-associated markers provide tools for tackling illegal fishing and false eco-certification. https://app.cochat.ai/papers/10.1038/ncomms1845
The paper
Nielsen, E. E., Cariani, A., Aoidh, E. M., Maes, G. E., Milano, I., Ogden, R., Taylor, M., Hemmer-Hansen, J., Babbucci, M., Bargelloni, L., Bekkevold, D., Diopere, E., Grenfell, L., Helyar, S., Limborg, M. T., Martinsohn, J. T., McEwing, R., Panitz, F., Patarnello, T., . . . Carvalho, G. R. (2012). Gene-associated markers provide tools for tackling illegal fishing and false eco-certification. Nature Communications. https://doi.org/10.1038/ncomms1845

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.