Differenzierung von Kammmuscheln durch DNA-Analyse

Abstract In the last years scallops have reached a considerable popularity and the import of scallops into the EU has increased about 20 % over the last fi ve years from some 50.000 t to nearly 63.000 t in the year 2010. Scallops are fi shed or farmed, and traded as fresh or deep frozen product. Recently investigation of scallop products of various origins by determining the species using molecular biological techniques showed that the species had been mislabelled in a considerable proportion of samples. Determination of the species was performed by PCR-based DNA-analysis of mitochondrial DNA followed by (i) sequencing the PCR product and (ii) comparison of the DNA sequence with entries in GenBank using BLAST. The deduced sequences of the analysed samples were considerably different from each other allowing the unambiguous assignment of samples to a certain species. Kurzfassung Die Nachfrage von Kammmuscheln in der EU hat in den letzten fünf Jahren erheblich zugenommen. Der Import stieg von knapp 53.000 t im Jahr 2005 um 20% auf annähernd 63.000 t im Jahr 2010. Gehandelt werden Kammmuscheln sowohl als frische als auch als Tiefkühlware aus Wildfängen und Aquakultur. Untersuchungen von Kammmuschel-Proben aus verschiedenen Ursprungsländern und Bestimmung der Spezies auf molekularbiologischer Basis zeigten, dass ein erheblicher Anteil der Proben falsch deklariert war. Die Bestimmung der Spezies erfolgte durch Vervielfältigung eines Abschnitts des 16S rRNA Gens durch Polymerase- Kettenreaktion (PCR), anschließender Sequenzanalyse der PCR-Produkte und Vergleich der DNA Sequenzen untereinander und mit Dateneintragungen in GenBank. Die DNA-Sequenzen der ermittelten Abschnitte der 16S rRNA der Proben unterschieden sich erheblich voneinander und erlaubten eine eindeutige Zuordnung zu jeweils einer Spezies.

Multiple stable reference points in oyster populations: implications for reference point-based management

In the second of two companion articles, a 54-year time series for the oyster population in the New Jersey waters of Delaware Bay is analyzed to examine how the presence of multiple stable states affects reference-point–based management. Multiple stable states are described by four types of reference points. Type I is the carrying capacity for the stable state: each has associated with it a type-II reference point wherein surplus production reaches a local maximum. Type-II reference points are separated by an intermediate surplus production low (type III). Two stable states establish a type-IV reference point, a point-of-no-return that impedes recovery to the higher stable state. The type-II to type-III differential in surplus production is a measure of the difficulty of rebuilding the population and the sensitivity of the population to collapse at high abundance. Surplus production projections show that the abundances defining the four types of reference points are relatively stable over a wide range of uncertainties in recruitment and mortality rates. The surplus production values associated with type-II and type-III reference points are much more uncertain. Thus, biomass goals are more easily established than fishing mortality rates for oyster population