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12th International Conference on Harmful Algae

12th International Conference on Harmful Algae

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INTERNATIONAL SOCIETY FOR THE STUDY OF HARMFUL ALGAE12 th <str<strong>on</strong>g>Internati<strong>on</strong>al</str<strong>on</strong>g> <str<strong>on</strong>g>C<strong>on</strong>ference</str<strong>on</strong>g> <strong>on</strong> <strong>Harmful</strong> <strong>Algae</strong>, Copenhagen, Denmark, 4-8 September 2006management of bloom situati<strong>on</strong>sare important issues to managers ofbathing waters and drinking waterreservoirs worldwide. Anoperati<strong>on</strong>al approach formanagement would be to model theblooms; thus being able to predictmass occurrences and evaluatevarious measures to reduce thebloom intensity and frequency. Inthe present study, a dynamic modelhas been established for a smallDanish lake using the model toolECO Lab. The objective was toidentify the most importantparameters that must be taken intoaccount when setting up suchmodels. The model describes thedynamics of the most importantalgal groups includingcyanobacteria, using a dynamicdescripti<strong>on</strong> of the hydrodynamics ofthe lakes, weather c<strong>on</strong>diti<strong>on</strong>s andnutrient loading. The model iscalibrated against m<strong>on</strong>itoring data.A first attempt was made to includepredicti<strong>on</strong>s of the toxicity in variouscompartments: intracellular, inwater, in sediment.PO.15-12Development of a comprehensivemethod for m<strong>on</strong>itoring harmfulalgae using real-time PCR assaySessi<strong>on</strong>: PO.15 - M<strong>on</strong>itoringRyoma Kamikawa 1 , J Asai 1 , TMiyahara 2 , K Murata 3 , K Ohyama 4 , SYoshimatsu 4 , T Yoshida 5 , Y Sako 11 Kyoto University, KYOTO, Japan2 Fisheries Research Center of Oita Pref.,OITA, Japan3 Kagoshima Fisheries Technology Center,KAGOSHIMA, Japan4 Akashiwo Research Institute of Kagawa,KAGAWA, Japan5 Fukui Prefectural University, FUKUI,JapanIn Japan, several harmful algaeform red tides and often causemass mortality of cultured fish andshellfish. In order to minimize thedamage to the fisheries industry, itis necessary to m<strong>on</strong>itor thecausative harmful algae rapidly,sensitively, and comprehensively. Inthis study, we developed a sensitivem<strong>on</strong>itoring method by using realtimePCR (qPCR) assay againstthree dinoflagellates, namelyCochlodinium polykrikoides,Heterocapsa circularisquama, andKarenia mikimotoi, and tworaphidophycean flagellates, namelyChatt<strong>on</strong>ella spp. and Heterosigmaakashiwo. The assay c<strong>on</strong>tains anefficient DNA extracti<strong>on</strong> protocolfrom these harmful algae, andtherefore DNA extracti<strong>on</strong> for qPCRis necessary <strong>on</strong>ly <strong>on</strong>ce form<strong>on</strong>itoring of the algae. Detecti<strong>on</strong>and quantificati<strong>on</strong> with qPCR,where the detecti<strong>on</strong> sensitivity was<strong>on</strong>ly 1 cell for all targeted species,were not affected by growth stagesand the presence of n<strong>on</strong>-targetedspecies. QPCR assay also labelledthe harmful algae in envir<strong>on</strong>mentalsamples, where no targeted specieswas found by direct counting.Therefore, this comprehensiveassay will be a powerful tool forprecise predicti<strong>on</strong> of the occurrenceof harmful algae.PO.08-08Effects of cyanobacteria <strong>on</strong>copepod egg producti<strong>on</strong> in theGulf of Finland, Baltic SeaSessi<strong>on</strong>: PO.08 - ToxicologyMR Karjalainen, E Lindén, S Viitasalo,M ViitasaloFinnish Institute of Marine Research,HELSINKI, FinlandCyanobacterial blooms occur in theBaltic Sea every summer. Copepodpeak abundance overlaps with thecyanobacteria mass occurrences.Copepods, in turn, are the main202

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