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Towards On-The-Spot Analysis: Population Proteomics of European Hake

Authors: Elena Gonzalez;

Towards On-The-Spot Analysis: Population Proteomics of European Hake

Abstract

Abstract Numerous leaders in fisheries science highlight the need for improved governance of our oceans, especially in relation to Unreported and Unregulated Fishing (IUU) activities. The global impact of the ongoing and relentless loss of fish biomass, biodiversity and fisheries income adds, not only considerable uncertainty to our forecasts of sustainability, but also there are concomitant threats to ecosystem function, food security and the economic and social viability of fishing communities. In this context, population proteomics is becoming a powerful tool enabling the study of the population structures and functional adaptations to environment from human settlement to animal natural populations. A proteome scan approach based on two-dimensional fluorescence difference gel electrophoresis (DIGE) technology has been applied to generated thousands of protein markers that allow the identification of different hake (Merluccius merluccius) population, a species of most important interest to fisheries and human consumption. Based on quantitative differential analysis of hake populations, several protein markers were selected that reliably assigned individuals to the populations of origin. These new methods have the potential to complement, and in some cases, even supplement more established approaches, as they rapidly respond to the environment where the fish was living just prior to capture, and therefore provide information on geographic origin, etc.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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