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Gymnodinium catenatum paralytic Shellfish toxin production and photobiological responses under marine heat waves
Publication . Lopes, Vanessa M.; Court, Mélanie; Seco, Martim Costa; Borges, Francisco O.; Vicente, Bernardo; Lage, Sandra; Braga, Ana Catarina; Duarte, Bernardo; Santos, Catarina Frazão; Amorim, Ana; Reis Costa, Pedro; Rosa, Rui
Marine heatwaves (MHWs) have doubled in frequency since the 1980s and are projected
to be exacerbated during this century. MHWs have been shown to trigger harmful algal blooms
(HABs), with severe consequences to marine life and human populations. Within this context, this
study aims to understand, for the first time, how MHWs impact key biological and toxicological
parameters of the paralytic shellfish toxin (PST) producer Gymnodinium catenatum, a dinoflagellate
inhabiting temperate and tropical coastal waters. Two MHW were simulated—category I (i.e., peak:
19.9 ◦C) and category IV (i.e., peak: 24.1 ◦C)—relative to the estimated baseline in the western
coast of Portugal (18.5 ◦C). No significant changes in abundance, size, and photosynthetic efficiency
were observed among treatments. On the other hand, chain-formation was significantly reduced
under category IV MHW, as was PSP toxicity and production of some PST compounds. Overall, this
suggests that G. catenatum may have a high tolerance to MHWs. Nevertheless, some sublethal effects
may have occurred since chain-formation was affected, suggesting that these growth conditions may
be sub-optimal for this population. Our study suggests that the increase in frequency, intensity, and
duration of MHWs may lead to reduced severity of G. catenatum blooms.
Impacts of climate change on the biogeography of three amnesic shellfish toxin producing diatom species
Publication . Borges, Francisco O.; Lopes, Vanessa M.; Santos, Catarina Frazão; Reis Costa, Pedro; Rosa, Rui
Harmful algal blooms (HABs) are considered one of the main risks for marine ecosystems and human health worldwide. Climate change is projected to induce significant changes in species geographic distribution, and, in this sense, it is paramount to accurately predict how it will affect toxin-producing microalgae. In this context, the present study was intended to project the potential biogeographical changes in habitat suitability and occurrence distribution of three key amnesic shellfish toxin (AST)-producing diatom species (i.e., Pseudo-nitzschia australis, P. seriata, and P. fraudulenta) under four different climate change scenarios (i.e., RCP-2.6, 4.5, 6.0, and 8.5) up to 2050 and 2100. For this purpose, we applied species distribution models (SDMs) using four abiotic predictors (i.e., sea surface temperature, salinity, current velocity, and bathymetry) in a MaxEnt framework. Overall, considerable contraction and potential extirpation were projected for all species at lower latitudes together with projected poleward expansions into higher latitudes, mainly in the northern hemisphere. The present study aims to contribute to the knowledge on the impacts of climate change on the biogeography of toxin-producing mi
Does Ocean Sunfish Mola spp. (Tetraodontiformes: Molidae) represent a risk for Tetrodotoxin Poisoning in the Portuguese Coast?
Publication . Baptista, Miguel; Braga, Ana Catarina; Rosa, Rui; Reis Costa, Pedro
Tetrodotoxin (TTX) is a potent neurotoxin naturally occurring in terrestrial and marine
organisms such as pufferfish. Due to the risk of TTX poisoning, fish of Tetraodontidae family and
other puffer-related species must not be placed in the EU markets. This restriction applies to fish of
the family Molidae even though no data on toxins’ occurrence is available. In this study, the presence
of TTX and its analogues was investigated in the main edible tissue (the white muscle) and the main
xenobiotics storage organ (the liver) of ocean sunfish Mola spp. (n = 13) from the South Portuguese
coast. HILIC-MS/MS analyses did not reveal TTX in the analyzed samples, suggesting an inexistent
or very limited risk of TTX poisoning
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Funding agency
Fundação para a Ciência e a Tecnologia
Funding programme
3599-PPCDT
Funding Award Number
PTDC/BIA-BMA/28317/2017