| Literature DB >> 34342987 |
Davide Vione1, Fernando L Rosario-Ortiz2,3.
Abstract
Cyanobacteria populate most water environments, and their ability to effectively exploit light and nutrients provide them with a competitive advantage over other life forms. In particular conditions, cyanobacteria may experience considerable growth and give rise to the so-called harmful algal blooms (HABs). HABs are often characterized by the production of cyanotoxins, which cause adverse effects to both aquatic organisms and humans and even threaten drinking water supplies. The concentration of cyanotoxins in surface waters results from the budget between production by cyanobacteria and transformation, including photodegradation under sunlight exposure. Climate change will likely provide favorable conditions for HABs, which are expected to increase in frequency over both space and time. Moreover, climate change could modify the ability of some surface waters to induce phototransformation reactions. Photochemical modeling is here carried out for two cyanotoxins of known photoreaction kinetics (microcystin-LR and cylindrospermopsin), which follow different phototransformation pathways and for particular freshwater scenarios (summertime stratification in lakes, water browning, and evaporative water concentration). On this basis, it is possible to quantitatively predict that the expected changes in water-column conditions under a changing climate would enhance photodegradation of those cyanotoxins that are significantly transformed by reaction with the triplet states of chromophoric dissolved organic matter (3CDOM*). This is known to be the case for microcystin-LR, for which faster photodegradation in some environments would at least partially offset enhanced occurrence. Unfortunately, very few data are currently available for the role of 3CDOM* in the degradation of other cyanotoxins, which is a major knowledge gap in understanding the link between cyanotoxin photodegradation and changing climate.Entities:
Keywords: Cylindrospermopsin; Evaporative concentration; Extended drought periods; Microcystin-LR; Sensitized phototransformation; Summer stratification; Water browning
Mesh:
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Year: 2021 PMID: 34342987 PMCID: PMC8384231 DOI: 10.1021/acs.est.1c03440
Source DB: PubMed Journal: Environ Sci Technol ISSN: 0013-936X Impact factor: 9.028
Summary of Main Families of Cyanobateria and of the Most Relevant Cyanotoxins That Can Be Produced in Surface Waters during HABs*
The symbol “×” means that the given toxin is produced by the cyanobacteria under consideration. The main target organs in the human body and the main photodegradation pathways (when known) of each family of toxins are also provided.[20,22,23]•OH, hydroxyl radical; 3CDOM*, excited triplet states of chromophoric dissolved organic matter; d.p., direct photolysis.
MIC, microcystins; NOD, modularins; CYN, cylindrospermopsin; ANA, anatoxins; STX, saxitoxins. The reported structures refer to microcystin-LR, nodularin, cylindropermopsin, anatoxin-a, and saxitoxin, respectively.
MIC are produced by Oscillatoriales in small amounts compared to ANA and STX.
Figure 1Simplified time trends of the concentration of a cyanobacterial toxin in the epilimnion of a stratified lake, due to photodegradation with a half-life time (t1/2) of 10 days (first-order degradation rate constant kd = 0.069 day–1), as per microcystin-LR under reasonably favorable conditions (midlatitude summertime, taking the day–night cycle into account, vide infra). The dashed curves were obtained under the assumption that the lake underwent overturn at day 10 or at day 30. As a consequence of overturn, it was further assumed that the epilimnion was diluted with an equal volume of toxin-free water and that the subsequent photodegradation kinetics in the whole lake volume was halved (kd = 0.035 day−1, t1/2 = 20 days) compared to that observed in the epilimnion before overturn.
Figure 2Modeled photodegradation kinetics (left Y-axis, first-order rate constants; right Y-axis, half-life times) of MC-LR and CYN, as a function of the DOC value of water, assuming constant DOC × depi = 30 m mgC L–1. Other water conditions: 10–4 mol L–1 NO3–, 10–6 mol L–1 NO2–, 10–3 mol L–1 HCO3–, and 10–5 mol L–1 CO32–. Photochemical modeling was carried out with the APEX software (Aqueous Photochemistry of Environmentally occurring Xenobiotics).[31] Note that t1/2 = 0.693 k–1.
Figure 3Modeled photodegradation kinetics (rate constants and half-life times, with t1/2 = 0.693 k–1) of MC-LR (a) and CYN (b) in lake water undergoing the phenomenon of evaporative concentration. The color code highlights the different photochemical reaction pathways. Initial water conditions (d = 5 m): 4 mgC L–1 DOC, 2 × 10–4 mol L–1 NO3–, 2 × 10–6 mol L–1 NO2–, 2 × 10–3 mol L–1 HCO3–, and 2 × 10–5 mol L–1 CO32–. Simulations were carried out with the APEX software.[31] By comparison, note that during the Millennium drought the average water depth in the Australian Lower Lakes decreased from 2.4 to 1.2 m (Lake Alexandrina) and from 1.5 to 0.5 m (Lake Albert).[48]