Toxic and non-toxic Nodularia strains can be distinguished from each other and from eukaryotic algae with chlorophyll fluorescence fingerprinting

Keränen, Mika; Aro, Eva‐Mari; Nevalainen, Olli; Tyystjärvi, Esa

doi:10.1016/j.hal.2007.12.023

Cited by 8 publications

(4 citation statements)

References 37 publications

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“…The significance of intraspecific variability in harmful algae has been discussed recently by several authors (Burkholder and Glibert, 2006;Lartigue et al, 2009;Sinclair et al, 2009;Thessen et al, 2009;Tillman et al, 2009;Kerä nen et al, 2010). For example, genotypic and phenotypic variability in noxious phytoplankton has been detected among isolates separated either geographically (Ichimi et al, 2002;Penna et al, 2005;Lilly et al, 2007;Touzet et al, 2007Touzet et al, , 2008 or temporally (Rynearson and Armbrust, 2005) and has even been found among clones obtained from a single geographical population (Cho et al, 2008;Tillman et al, 2009;Alpermann et al, 2010).…”

Section: Discussionmentioning

confidence: 99%

The growth, toxicity and genetic characterization of seven strains of Alexandrium catenella (Whedon and Kofoid) Balech 1985 (Dinophyceae) isolated during the 2009 summer outbreak in southern Chile

et al. 2011

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Section: Discussionmentioning

confidence: 99%

The growth, toxicity and genetic characterization of seven strains of Alexandrium catenella (Whedon and Kofoid) Balech 1985 (Dinophyceae) isolated during the 2009 summer outbreak in southern Chile

et al. 2011

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“…Species with long phylogenetic distances can easily be distinguished from each other using fluorescence fingerprinting (Tyystjärvi et al 1999, Keränen et al 2009). In our data, crop/weed classification was slightly more successful if the crop species was the C 4 plant maize rather than the C 3 plant barley (Table 4).…”

Section: Discussionmentioning

confidence: 99%

Automatic identification of crop and weed species with chlorophyll fluorescence induction curves

et al. 2010

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Automatic identification of crop and weed species is required for many precision farming practices. The use of chlorophyll fluorescence fingerprinting for identification of maize and barley among six weed species was tested. The plants were grown in outdoor pots and the fluorescence measurements were done in variable natural conditions. The measurement protocol consisted of 1 s of shading followed by two short pulses of strong light (photosynthetic photon flux density 1700 lmol m -2 s -1 ) with 0.2 s of darkness in between. Both illumination pulses caused the fluorescence yield to increase by 30-60% and to display a rapid fluorescence transient resembling transients obtained after long dark incubation. A neural network classifier, working on 17 features extracted from each fluorescence induction curve, correctly classified 86.7-96.1% of the curves as crop (maize or barley) or weed. Classification of individual species yielded a 50.2-80.8% rate of correct classifications. The best results were obtained if the training and test sets were measured on the same day, but good results were also obtained when the training and test sets were measured on different dates, and even if fluorescence induction curves measured from both leaf sides were mixed. The results indicate that fluorescence fingerprinting has potential for rapid field separation of crop and weed species.

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“…Due to the fact that algae of the same division contain a similar quantity and quality of photosynthetic pigments, their fl uorescence excitation spectrum (with a fi xed emission wavelength at 680 nm) is signifi cant. Thus, it is possible to differentiate divisions of algae by their fl uorescence excitation spectrum [25]. The bbe AlgaeTorch uses seven LEDs for fl uorescence excitation.…”

Section: Field Measurements Of Chlorophyll-amentioning

confidence: 99%

Risk Assessment of Urban Lake Water Quality Based on in-situ Cyanobacterial and Total Chlorophyll-a Monitoring

Kalaji¹,

Sytar²,

Brestič³

et al. 2016

Pol. J. Environ. Stud.

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The aim of this study was to establish a simple and cost-effective method to monitor the effects of harmful algal blooms as exemplifi ed in Lake Powsinkowskie, and to link the monitoring results to potential health risks on the basis of established Alert Level Frameworks.An assessment of the severity of cyanobacterial development in Lake Powsinkowskie (52°9'27"N, 21°5'55"E), located in the Wilanów region, Warsaw, Poland, was performed to illustrate this. An Alert Level Framework based on cyanobacterial chlorophyll-a measurements was applied. Measurements of cyanobacterial chlorophyll-a in Lake Powsinkowskie were performed once per week at 10 locations on each side of the lake from May to July 2012. The highest algal densities were expected at the eastern side of the lake due to the use of fertilizers on the fi elds along the eastern shore, however, the opposite was observed. It seems that the conditions on the west side of the lake were more favourable for cyanobacterial growth.This study shows that an indication of the overall effects of eutrophication on algal growth and the potential risk of the presence of toxic cyanobacteria can easily be obtained using relatively simple, simultaneous measurements of total and cyanobacterial chlorophyll-a. The Alert Level Framework based on cyanobacterial chlorophyll-a levels is a rapid and easily applicable method for determining the severity of cyanobacterial developments.The fi ndings of this study indicate that a reduction in nutrient loading to protect Lake Powsinkowskie's unique species richness can be achieved by informing the local residents about the effects of draining cesspools directly into the lake. Studies such as this one can thus help to support awareness-raising among lake-side residents.

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Toxic and non-toxic Nodularia strains can be distinguished from each other and from eukaryotic algae with chlorophyll fluorescence fingerprinting

Cited by 8 publications

References 37 publications

The growth, toxicity and genetic characterization of seven strains of Alexandrium catenella (Whedon and Kofoid) Balech 1985 (Dinophyceae) isolated during the 2009 summer outbreak in southern Chile

The growth, toxicity and genetic characterization of seven strains of Alexandrium catenella (Whedon and Kofoid) Balech 1985 (Dinophyceae) isolated during the 2009 summer outbreak in southern Chile

Automatic identification of crop and weed species with chlorophyll fluorescence induction curves

Risk Assessment of Urban Lake Water Quality Based on in-situ Cyanobacterial and Total Chlorophyll-a Monitoring

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