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Toxic and non-toxic Nodularia strains can be distinguished from each other and from eukaryotic algae with chlorophyll fluorescence fingerprinting
Authors:Mika Kernen  Eva-Mari Aro  Olli Nevalainen  Esa Tyystjrvi
Institution:aLaboratory of Plant Physiology and Molecular Biology, University of Turku, FI-20014 Turku, Finland;bDepartment of Information Technology and TUCS (Turku Centre for Computer Science), University of Turku, FI-20014 Turku, Finland
Abstract:Chlorophyll fluorescence induction curves of toxic and non-toxic strains of the cyanobacterium Nodularia were measured and compared with fluorescence curves measured from four species of eukaryotic algae. Both cyanobacteria and algae were isolated from the Baltic Sea. The results show that Nodularia strains can be distinguished from the eukaryotes by applying a pattern recognition procedure to the fluorescence induction curves, suggesting that the fluorescence fingerprinting technique might be useful in environmental monitoring of marine algae. The six studied Nodularia strains could not be distinguished from each other from their fluorescence induction kinetics. However, their fluorescence curves fell into two clear categories, the toxic and the non-toxic Nodularia. Emission spectroscopy and differences in the fluorescence induction curves showed that the ratio of the intensity of the Photosystem I emission peak to the Photosystem II peak is higher in non-toxic Nodularia than in the toxic strains, suggesting that the toxicity affects the structure of the photosynthesis machinery. The effect on photosynthesis may be related to the ability of the microcystins to chelate iron.
Keywords:Automatic species identification  Chlorophyll fluorescence  Cyanobacteria  Neural network  Nodularia
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