Open WL Archief (OWA)

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Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.

Dit archief wordt uitgebouwd en beheerd volgens de principes van de Open Access Movement, en het daaruit ontstane Open Archives Initiative.

Basisinformatie over ‘Open Access to scholarly information'.

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one publication added to basket [57346]

An RFLP database for authentication of commercial cyst samples of the brine shrimp Artemia spp. (International Study on Artemia LXX) Bossier, P.; Xiaomei, W.; Catania, F.; Dooms, S.; Van Stappen, G.; Naessens, E.; Sorgeloos, P. (2004). An RFLP database for authentication of commercial cyst samples of the brine shrimp Artemia spp. (International Study on Artemia LXX). Aquaculture 231(1-4): 93-112. http://dx.doi.org/10.1016/j.aquaculture.2003.11.001 In: Aquaculture. Elsevier: Amsterdam; London; New York; Oxford; Tokyo. ISSN 0044-8486; e-ISSN 1873-5622, meer

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Beschikbaar in	Auteurs
VLIZ: Open Marine Archive 55183 [ download pdf ]

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Trefwoorden

Acids > Organic compounds > Organic acids > Nucleic acids > DNA Authentication Cell constituents > Cell organelles > Mitochondria Cysts Rflp Artemia Leach, 1819 [WoRMS] Marien/Kust

Author keywords

Artemia; cyst; authentication; mitochondrial rDNA; RFLP

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Auteurs		Top
Bossier, P., meer Xiaomei, W. Catania, F., meer Dooms, S., meer	Van Stappen, G., meer Naessens, E. Sorgeloos, P., meer

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Abstract

Artemia cysts, originating from a variety of locations, are currently commercially exploited. The overall quality of the cysts depends on a lot of features including their intrinsic nutritional quality, harvesting and processing conditions, diapause characteristics and size, all influencing their commercial value. In order to mediate authentication of commercial Artemia cyst samples, a database containing eight RFLP patterns of a 1500 bp mitochondrial rDNA fragment was constructed. The database contains 53 samples, covering most of the geographical distribution of Artemia. On the basis of a band sharing index these 53 samples could be clustered into five groups. These groups coincide to a great extent with the currently accepted species or species complexes. Within each cluster diversity between samples is still considerable, reflecting the genetic diversity within each species. The developed method allows to assign samples to these clusters, facilitating their authentication at the species level.

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