Modelling the Stoichiometric Regulation of C-Rich Toxins in Marine Dinoflagellates.

Toxin production in marine microalgae was previously shown to be tightly coupled with cellular stoichiometry. The highest values of cellular toxin are in fact mainly associated with a high carbon to nutrient cellular ratio. In particular, the cellular accumulation of C-rich toxins (i.e., with C:N &g...

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Main Authors: Adriano Pinna, Laura Pezzolesi, Rossella Pistocchi, Silvana Vanucci, Stefano Ciavatta, Luca Polimene
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4580455?pdf=render
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author Adriano Pinna
Laura Pezzolesi
Rossella Pistocchi
Silvana Vanucci
Stefano Ciavatta
Luca Polimene
author_facet Adriano Pinna
Laura Pezzolesi
Rossella Pistocchi
Silvana Vanucci
Stefano Ciavatta
Luca Polimene
author_sort Adriano Pinna
collection DOAJ
description Toxin production in marine microalgae was previously shown to be tightly coupled with cellular stoichiometry. The highest values of cellular toxin are in fact mainly associated with a high carbon to nutrient cellular ratio. In particular, the cellular accumulation of C-rich toxins (i.e., with C:N > 6.6) can be stimulated by both N and P deficiency. Dinoflagellates are the main producers of C-rich toxins and may represent a serious threat for human health and the marine ecosystem. As such, the development of a numerical model able to predict how toxin production is stimulated by nutrient supply/deficiency is of primary utility for both scientific and management purposes. In this work we have developed a mechanistic model describing the stoichiometric regulation of C-rich toxins in marine dinoflagellates. To this purpose, a new formulation describing toxin production and fate was embedded in the European Regional Seas Ecosystem Model (ERSEM), here simplified to describe a monospecific batch culture. Toxin production was assumed to be composed by two distinct additive terms; the first is a constant fraction of algal production and is assumed to take place at any physiological conditions. The second term is assumed to be dependent on algal biomass and to be stimulated by internal nutrient deficiency. By using these assumptions, the model reproduced the concentrations and temporal evolution of toxins observed in cultures of Ostreopsis cf. ovata, a benthic/epiphytic dinoflagellate producing C-rich toxins named ovatoxins. The analysis of simulations and their comparison with experimental data provided a conceptual model linking toxin production and nutritional status in this species. The model was also qualitatively validated by using independent literature data, and the results indicate that our formulation can be also used to simulate toxin dynamics in other dinoflagellates. Our model represents an important step towards the simulation and prediction of marine algal toxicity.
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spelling doaj.art-9fc2292ee77a4c09b323c0b9065320ea2022-12-22T01:56:57ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01109e013904610.1371/journal.pone.0139046Modelling the Stoichiometric Regulation of C-Rich Toxins in Marine Dinoflagellates.Adriano PinnaLaura PezzolesiRossella PistocchiSilvana VanucciStefano CiavattaLuca PolimeneToxin production in marine microalgae was previously shown to be tightly coupled with cellular stoichiometry. The highest values of cellular toxin are in fact mainly associated with a high carbon to nutrient cellular ratio. In particular, the cellular accumulation of C-rich toxins (i.e., with C:N > 6.6) can be stimulated by both N and P deficiency. Dinoflagellates are the main producers of C-rich toxins and may represent a serious threat for human health and the marine ecosystem. As such, the development of a numerical model able to predict how toxin production is stimulated by nutrient supply/deficiency is of primary utility for both scientific and management purposes. In this work we have developed a mechanistic model describing the stoichiometric regulation of C-rich toxins in marine dinoflagellates. To this purpose, a new formulation describing toxin production and fate was embedded in the European Regional Seas Ecosystem Model (ERSEM), here simplified to describe a monospecific batch culture. Toxin production was assumed to be composed by two distinct additive terms; the first is a constant fraction of algal production and is assumed to take place at any physiological conditions. The second term is assumed to be dependent on algal biomass and to be stimulated by internal nutrient deficiency. By using these assumptions, the model reproduced the concentrations and temporal evolution of toxins observed in cultures of Ostreopsis cf. ovata, a benthic/epiphytic dinoflagellate producing C-rich toxins named ovatoxins. The analysis of simulations and their comparison with experimental data provided a conceptual model linking toxin production and nutritional status in this species. The model was also qualitatively validated by using independent literature data, and the results indicate that our formulation can be also used to simulate toxin dynamics in other dinoflagellates. Our model represents an important step towards the simulation and prediction of marine algal toxicity.http://europepmc.org/articles/PMC4580455?pdf=render
spellingShingle Adriano Pinna
Laura Pezzolesi
Rossella Pistocchi
Silvana Vanucci
Stefano Ciavatta
Luca Polimene
Modelling the Stoichiometric Regulation of C-Rich Toxins in Marine Dinoflagellates.
PLoS ONE
title Modelling the Stoichiometric Regulation of C-Rich Toxins in Marine Dinoflagellates.
title_full Modelling the Stoichiometric Regulation of C-Rich Toxins in Marine Dinoflagellates.
title_fullStr Modelling the Stoichiometric Regulation of C-Rich Toxins in Marine Dinoflagellates.
title_full_unstemmed Modelling the Stoichiometric Regulation of C-Rich Toxins in Marine Dinoflagellates.
title_short Modelling the Stoichiometric Regulation of C-Rich Toxins in Marine Dinoflagellates.
title_sort modelling the stoichiometric regulation of c rich toxins in marine dinoflagellates
url http://europepmc.org/articles/PMC4580455?pdf=render
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