Microcystin–LR, –RR, –YR and –LA in water samples and fishes from a shallow lake in Argentina

Amé, María Valeria; Galanti, Lucas Nicolás; Menone, Mirta Luján; Gerpe, Marcela Silvia; Moreno, Víctor J.; Wunderlin, Daniel Alberto

doi:10.1016/j.hal.2009.08.001

Cited by 64 publications

(30 citation statements)

References 48 publications

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“…In the present study, MCs concentrations in silver carp muscle samples varied from 0.014 to 0.036 lg/g DW with an average of 0.028 lg/g DW (Table 2). These results were in the same range of MCs levels in different species of fish muscle from various eutrophic water bodies (Deblois et al, 2008;Magalhaes et al, 2003;Romo, Fernandez, Ouahid, & Sola, 2012;Zhang et al, 2009), but lower (Gkelis et al, 2006;Papadimitriou et al, 2012;Peng et al, 2010;Xie et al, 2005), or higher (Amé et al, 2010;Nyakairu et al, 2010;Semyalo et al, 2010) than MCs contents previously found in fish muscle from other water bodies across the world.…”

Section: Mcs In Fish Musclesupporting

confidence: 81%

Risk assessment of microcystins in silver carp (Hypophthalmichthys molitrix) from eight eutrophic lakes in China

et al. 2013

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Section: Mcs In Fish Musclesupporting

confidence: 81%

Risk assessment of microcystins in silver carp (Hypophthalmichthys molitrix) from eight eutrophic lakes in China

et al. 2013

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“…The MCs levels in our present study are similar to those reports in a Missouri Reservoir (Graham and Jones 2006), but generally lower to the MCs level in Taihu Lake (Wang et al 2012), Chaohu Lake (Yang et al 2006), Dianchi Lake (Peng et al 2010) in China, Lake Biwa in Japan (Ozawa et al 2005), Los Padres Lake in Argentina (Amé et al 2010), Kovada Lake in Turkey (Gurbuz et al 2009). …”

Section: Discussionsupporting

confidence: 87%

“…Among these MCs variants, MC-RR, MC-YR, MC-LR, MC-LA are the most commonly detected MCs in natural waters (Amé et al 2010;Gurbuz et al 2009). Meanwhile, the major MCs and their proportions in natural waters have varied between different studied cyanobacterial species and populations, and also between different geographic regions (Jurczak et al 2004).…”

Section: Discussionmentioning

confidence: 99%

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Occurrence and spatial distributions of microcystins in Poyang Lake, the largest freshwater lake in China

et al. 2014

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Occurrence and spatial distributions of microcystins (MCs; MC-RR, -YR, -LR, -LA, -LF, -LW) in Poyang Lake were studied during the period from July 6 to July 18, 2012, by using ultra-high-performance liquid chromatography-electrospray ionization tandem triple quadrupole/mass spectrometry (UPLC-MS/MS). MC-RR was the most dominant variant (94.70 and 84.73 % for intracellular (cellular MCs) and extracellular (dissolved MCs) MCs, respectively) in Poyang Lake, followed by MC-LR (4.65 and 13.17 %, respectively), MC-YR (0.8 and 2.63 %, respectively), and MC-LA (0.02 and 0.00 %), while MC-LW and MC-LF were not detected. Total MCs concentrations (intracellular +extracellular MCs) ranged between 0.0036 and 7.97 μg/L, with an average of 0.79 μg/L, and only two sampling stations with the total MCs concentrations exceeded the drinking water guideline level of 1 μg/L for MC-LR proposed by World Health Organization. The overall spatial pattern of intracellular and extracellular MCs in Poyang Lake demonstrates decreasing trends from east to west, and the south part higher than the north part. Intracellular MCs content was negatively correlated with total nitrogen (r = -0.34, p < 0.01) and NO3 (r = -0.35, p < 0.01), while no significant correlation was found between intracellular MCs concentration and total phosphorus, NH4, and NO2 (p > 0.05), suggesting that NO3 might be a regulating factor for MCs production in Poyang Lake. In addition, intracellular MCs concentrations were positively correlated with wind speed, Microcystis and Cyanobacteria biomass (r = 0.34-0.51, p < 0.05), indicating that wind speed plays an important role in the spatial distributions of MCs, and NO3, toxic cyanobacteria (mainly Microcystis), and wind speed seem to be the important forcing factors driving MCs spatial distributions in Poyang Lake.

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“…The genus Microcystis is one of the most important cyanobacteria due to its great ecological importance and public health implications (Sanchis et al, 2004). Its blooms are frequently found in eutrophic waters, affecting fish (Gaete et al, 1994), zooplankton communities (Amé et al, 2010), aquatic plants and vertebrates (MacKintosh et al, 1990). They are detrimental to water quality and negatively affect the development of nautical sports and other recreational activities (Turner et al, 1990;Giannuzzi et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Mathematical modeling of Microcystis aeruginosa growth and [D-Leu1] microcystin-LR production in culture media at different temperatures

et al. 2017

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A B S T R A C TThe effect of temperature (26 C, 28 C, 30 C and 35 C) on the growth of native CAAT-3-2005 Microcystis aeruginosa and the production of Chlorophyll-a (Chl-a) and Microcystin-LR (MC-LR) were examined through laboratory studies. Kinetic parameters such as specific growth rate (m), lag phase duration (LPD) and maximum population density (MPD) were determined by fitting the modified Gompertz equation to the M. aeruginosa strain cell count (cells mL À1 ). A 4.8-fold increase in m values and a 10.8-fold decrease in the LPD values were found for M. aeruginosa growth when the temperature changed from 15 C to 35 C. The activation energy of the specific growth rate (Em) and of the adaptation rate (E 1 /LPD) were significantly correlated (R 2 = 0.86). The cardinal temperatures estimated by the modified Ratkowsky model were minimum temperature = 8.58 AE 2.34 C, maximum temperature = 45.04 AE 1.35 C and optimum temperature = 33.39 AE 0.55 C.Maximum MC-LR production decreased 9.5-fold when the temperature was increased from 26 C to 35 C. The maximum production values were obtained at 26 C and the maximum depletion rate of intracellular MC-LR was observed at 30-35 C. The MC-LR cell quota was higher at 26 and 28 C (83 and 80 fg cell À1 , respectively) and the MC-LR Chl-a quota was similar at all the different temperatures (0.5-1.5 fg ng À1 ).The Gompertz equation and dynamic model were found to be the most appropriate approaches to calculate M. aeruginosa growth and production of MC-LR, respectively. Given that toxin production decreased with increasing temperatures but growth increased, this study demonstrates that growth and toxin production processes are uncoupled in M. aeruginosa. These data and models may be useful to predict M. aeruginosa bloom formation in the environment.

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Microcystin–LR, –RR, –YR and –LA in water samples and fishes from a shallow lake in Argentina

Cited by 64 publications

References 48 publications

Risk assessment of microcystins in silver carp (Hypophthalmichthys molitrix) from eight eutrophic lakes in China

Risk assessment of microcystins in silver carp (Hypophthalmichthys molitrix) from eight eutrophic lakes in China

Occurrence and spatial distributions of microcystins in Poyang Lake, the largest freshwater lake in China

Mathematical modeling of Microcystis aeruginosa growth and [D-Leu1] microcystin-LR production in culture media at different temperatures

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