Научная статья на тему 'SENSITIVITY OF DINOFLAGELLATES TO MECHANICAL STRESSORS AS A POTENTIAL TARGET TO CONTROL HARMFUL BLOOMS IN AQUACULTURE'

SENSITIVITY OF DINOFLAGELLATES TO MECHANICAL STRESSORS AS A POTENTIAL TARGET TO CONTROL HARMFUL BLOOMS IN AQUACULTURE Текст научной статьи по специальности «Биологические науки»

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Protistology
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AQUACULTURE / DINOFLAGELLATES / ECDYSIS / HARMFUL ALGAL BLOOMS / TURBULENCE / SHEAR STRESS

Аннотация научной статьи по биологическим наукам, автор научной работы — Matantseva Olga, Berdieva Mariia, Pozdnyakov Ilya

Dinoflagellates are diverse and widely spread single-celled eukaryotes causing harmful algal blooms (HABs) in the marine environment. Many dinoflagellate species produce potent toxins that can be accumulated in the tissues of marine organisms, thus posing a threat to the organisms at higher trophic levels, including humans. Harmful dinoflagellate blooms in aquaculture represent a serious problem requiring sustainable solutions. In the first part of this article, we provide a concise review of the existing techniques proposed to control dinoflagellate blooms. In the second part, we discuss sensitivity of dinoflagellates to turbulence/shear stress, as well as a potential approach to control HABs in aquaculture based on this physiological hallmark. We argue that sensitivity of dinoflagellates to turbulence is a prospective target for the effective HAB control and prevention with low ecosystem risks.

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Текст научной работы на тему «SENSITIVITY OF DINOFLAGELLATES TO MECHANICAL STRESSORS AS A POTENTIAL TARGET TO CONTROL HARMFUL BLOOMS IN AQUACULTURE»

Protistology 15 (4), 274-283 (2021)

Protistology

Sensitivity of dinoflagellates to mechanical stressors as a potential target to control harmful blooms in aquaculture

Olga Matantseva, Mariia Berdieva and Ilya Pozdnyakov

Institute of Cytology, Russian Academy of Sciences, St. Petersburg, 194064, Russia

\ Submitted March 13, 2021 | Accepted April 17, 2021 |

Summary

Dinoflagellates are diverse and widely spread single-celled eukaryotes causing harmful algal blooms (HABs) in the marine environment. Many dinoflagellate species produce potent toxins that can be accumulated in the tissues of marine organisms, thus posing a threat to the organisms at higher trophic levels, including humans. Harmful dinoflagellate blooms in aquaculture represent a serious problem requiring sustainable solutions. In the first part of this article, we provide a concise review of the existing techniques proposed to control dinoflagellate blooms. In the second part, we discuss sensitivity of dinoflagellates to turbulence/shear stress, as well as a potential approach to control HABs in aquaculture based on this physiological hallmark. We argue that sensitivity of dinoflagellates to turbulence is a prospective target for the effective HAB control and prevention with low ecosystem risks.

Key words: aquaculture, dinoflagellates, ecdysis, harmful algal blooms, turbulence, shear stress

Harmful algal blooms and aquaculture

Outbursts of algal proliferation referred to as harmful algal blooms (HABs) represent one of the major challenges for the aquatic resource management. They deteriorate water quality, affect ecosystem functioning and pose a threat of poisoning to various marine organisms and humans. Dinoflagellates are one of the main groups causing HABs worldwide (Heisler et al., 2008). Several physiological traits make these organisms prone to HAB formation in coastal regions. Many of them are mixotrophs able to obtain nutrients not only in the inorganic forms, but also from dissolved and

particulate organic matter (Burkholder et al., 2008), can tolerate a wide range of salinity and temperature and have resilient stages thought to play an important role in the bloom dynamics (Bravo and Figueroa, 2014).

Although some HABs do not seem to be linked to human activity (Anderson, 2009), the increasing anthropogenic nutrient pollution along with climate change and spread of nonindigenous species to new habitats probably favor further distribution of dinoflagellates and more frequent occurrence of HABs in future (Glibert, 2020). Many data has been acquired over the last decades to understand the reasons and conditions causing HABs and

doi:10.21685/1680-0826-2021-15-4-4 © 2021 The Author(s)

Protistology © 2021 Protozoological Society Affiliated with RAS

determining their duration (Anderson, 2009; Glibert and Burford, 2017; Pal et al., 2020; Telesh et al., 2021). Moreover, these data were used to create mathematical models of various complexity aimed at HAB prediction (Glibert et al., 2014; Aleynik et al., 2016; Davidson et al., 2016; Gillibrand et al., 2016; Ralston and Moore, 2020). Nevertheless, the prognostic power of the simpler models can be not sufficient, whereas more elaborate models taking into account complex biological and biogeochemical processes may require significant time and financial investments for their use in practice. Furthermore, model-based predictions can help to avoid some serious consequences of HABs, but do not solve the overall HAB problem.

The most beneficial approach to reduce the number and frequency ofblooms is the maintenance of a healthy ecosystem state implying the persistence of a diverse multispecies community and the reduction in pollution of water with anthropogenic nutrients, such as plant fertilizers and sewage (Wells et al., 2019). Unfortunately, in many regions the opposite trend is still observed (Glibert and Burford, 2017; Wurtsbaugh et al., 2019). This is a serious problem, especially for the areas of aquaculture where cultivated marine organisms are destined for human consumption, because, on the one hand, it lifts up risks of human poisoning with dinoflagellate toxins via food supplies, and on the other hand, leads to an economically unfavorable situation when sometimes unjustified precautions limit the mariculture efficiency.

Over the last years, aquaculture-associated dino-flagellate blooms have been registered all over the globe and caused devastating economical losses (DHaz et al., 2019; Davidson et al., 2021; Kimambo et al., 2021; Trottet et al., 2021). Considering the troubling HABs statistics and expected increase in the aquaculture-sector food production to meet demands ofthe growing world population (Trottet et al., 2021), elaboration of effective methods involving direct interventions into the ecosystem processes to prevent and combat HABs are highly desirable.

HAB control technologies

Measures that can be taken to manage HABs include mitigation (actions to reduce negative impacts of HABs, e. g. monitoring and detection of dangerous levels of toxins), prevention (measures to preclude HAB occurrence), and control (actions intended to suppress or destroy ongoing HABs)

(Anderson, 2009). Here we focus on the latter group, but provide only a brief description ofthe approaches constituting it, necessary as an introduction to the following sections. For a comprehensive information on the existing HAB management strategies, see Anderson (2009), Brown et al. (2019) and references therein.

There are several classes of HAB control methods based on physical, chemical, and biological approaches. Physical methods involve direct removal of HAB organisms, for example, by filtration, sedimentation and burial (Sellner and Rensel,

2018). Sedimentation can be achieved by dispersing clay or modified clay particles that initiate trapping and aggregation (flocculation) of HAB cells. Clay dispersal has been actively used in areas with a significant economic impact of aquaculture, e. g. in South Korea and China (Na et al., 1996; Sengco et al., 2001; Sengco and Anderson, 2004; Yu et al., 2017; Song et al., 2021). Alternatively, HAB cells can be destructed by sonication (Park et al., 2017). However, both removal and lysis approaches are nonspecific and potentially affect not only harmful algae, but also other planktonic organisms. In addition, lysis of HAB cells can lead to the release of dissolved organic matter including toxins, which is another undesired side effect of this method.

Toxic chemicals that can be used to control HABs include natural and synthetic biocidal and biostatic compounds (Gallardo-Rodriguez et al.,

2019). Among chemicals suggested to inhibit the activity ofmarine dinoflagellates and prevent germination of their cysts are copper sulfide (Rounsefell and Evans, 1958), sodium hypochlorite, potassium permanganate (Lam et al., 1995), and hydroxyl radicals (Xiyao et al., 2003). However, they obviously affect not only HAB species, but other ecosystem components too and thus these chemicals have not been applied widely. The examples ofmore selective and therefore more promising substances to control HABs include free-amine water-soluble chitosan and synthetic peptides tested against Cochlodinium polykrikoides (syn. Margalefidinium polykrikoides) and Prorocentrum minimum (syn. P. cordatum) (Park et al., 2016a, 2016b) and N-[(3,4-dichlorophenyl)methyl]cyclohexanamine (DP92) (Cho et al., 2016). At the concentration ranges tested in the lab assays, these compounds were found to be nontoxic to nontarget organisms. Nevertheless, application ofchemicals to multispecies mariculture ecosystems still raises environmental concerns.

Biological control methods rely on the activity of viruses, parasites and predators of harmful algae

species. Viruses infecting dinoflagellates are widely spread in nature, they were found to participate in bloom termination and have a high potential to be isolated and used to combat HABs (Tarutani et al., 2001; Nagasaki et al., 2006; Nakayama et al., 2020; Nakayama and Hamaguchi, 2022). Predators able to feed on harmful dinoflagellates and tolerate their toxins can be found among copepods and rotifers (Lacerot et al., 2013), ciliates and dinoflagellates (Jeong et al., 2005; Kamiyama et al., 2005), and parasites are even more diverse and include representatives ofbacteria, fungi and protists. Recent years have brought numerous research works on algicidal organisms with bacteria being the main research objects (Zhang et al., 2018, 2020; Shi et al., 2018; Yu et al., 2018). Nevertheless, all biological measures are still risky to use, because they share a common drawback: they can lead to some longterm complications for nonharmful species that are difficult to predict (Gallardo-Rodriguez et al., 2019).

Genetic manipulation aimed at alteration of the physiology of a target organism, e. g. creation of a HAB species unable to produce toxins, is also being investigated. However, concerns associated with it align and in public eyes even exceed those described in the paragraph above, which makes application of the genetic approach a distant goal.

Overall, most HAB control technologies have serious limitations for the use in practice, especially in the open systems. Therefore, alternative approaches are still needed to address the issue of HABs in aquaculture.

Dinoflagellate sensitivity to mechanical stressors

Dinoflagellates are well known to be extremely sensitive to mechanical stressors of various nature, such as turbulence, mixing, pumping, aeration etc. This peculiar physiological trait hampers the effective culturing of dinoflagellates in laboratory bioreactors (Camacho et al., 2007a; van de Waal et al., 2013; Wang and Lan, 2018). The direct effect of mechanical stressors on microorganisms is attributed to shear forces created by various kinds of agitation. At the spatial scales of microbes, they are described by such flow parameters as the viscous dissipation rate per unit mass s (cm2s-1 or ergs g-1s-1), the rate of strain у = (s/v)1/2 (rads-1), and the stress т = ^y (dyne cm-2), where v is the kinetic viscosity and ^ is the dynamic viscosity (Thomas and Gibson, 1990a,

1990b). Significant amount of information about the impacts of turbulence on the physiology of dinoflagellates has been published to date, although these parameters have been quantified not in all research works (Table 1).

It was demonstrated in situ and under laboratory conditions, that turbulence suppresses growth of dinoflagellates and leads to their mortality when shear stress exceeds certain threshold values. In many cases, suspension in the dinoflagellate growth was linked to the inhibition of the cell division processes (Pollingher and Zemel, 1981; Berdalet, 1992; Wyatt and Jenkinson, 1997; Wong and Kwok, 2005; Llaveria et al., 2009; Martinez et al., 2018; Garcia-Portela et al., 2019). Remarkably, in the study by Pollingher and Zemel (1981) only intermittent turbulence inhibited cell division in Peridinium cin-cutum and only if it was applied in the dark phase of the diurnal cycle. Continuous shaking resulted in high mortality rates for this species.

Furthermore, turbulence caused other physiological responses in dinoflagellates, including the 20% increase in the cellular content of dime-thylsulfoniopropionate in Alexandrium minutim (Berdalet et al., 2011), termination of phagotrophy in Peridiniella danica (Martinez et al., 2018), loss of flagella in Gonyaulax polyedra (Thomas and Gibson, 1990a, 1990b), and reduction in the cell size accompanied by other changes in cell morphology in Ceratocorys horrida (Zirbel et al., 2000).

In addition, many investigations demonstrated that fluid shear stress induced by agitation or centrifugation triggers ecdysis in dinoflagellates (Bricheux et al., 1992; Haberkorn et al., 2011; Berdieva et al., 2016, 2019, 2020; Matantseva et al., 2020). Ecdysis is a complex process of cell covering rearrangement, which involves shedding of several cell covering elements, including the plasma membrane, outer amphiesmal vesicle membrane and cellulosic thecal plates (if present) with a subsequent re-building of the full amphiesma (Pozdnyakov and Skarlato, 2012). Moreover, it is accompanied by a loss of flagella and thus — by temporal immobility of ecdysing cells (Matantseva et al., 2020). Another pronounced physiological effect associated with turbulence is the induction of bioluminescence in dinoflagellates capable of it (Latz et al., 1994, 1999, 2004; von Dassow et al., 2005; Maldono and Latz, 2007; Heimann et al., 2009; Stires and Latz, 2018; Jalaal et al., 2020).

Fine mechanisms of the initiation and development ofthe fluid shear stress responses in a dinoflag-

Table 1. Dinoflagellate species that respond to turbulence by the growth suspension and/or ecdysis.

Dinoflagellate species Type of exposure Reference

Akashiwo sanguínea natural turbulence generated by wind, upwelling systems Smayda and Trainer, 2010

natural turbulence generated by wind, upwelling systems Smayda, 2010

Alexandríum fundyense (=A. catenella) turbulence in chamber induced by rods, e= 10-4 m2 s-3; 10-8 m2 s-3 Sullivan and Swift, 2003

Alexandrium minutum natural turbulence generated by wind Wyatt and Jenkinson 1997

continuous turbulence generated by orbital shaker, s*=27 cm2 s-3 Llaveria et al., 2009

continuous turbulence generated by orbital shaker, s*=27 cm2 s-3 Berdalet et al., 2011

centrifugation, 2000 rpm (800 g) Haberkorn et al., 2011

Amphidinium carterae Centrifugation, 2000 g Berdieva et al., 2019

Ceratium sp. natural turbulence generated by wind, upwelling systems Smayda, 2010

Ceratium fusus ( = Tripos fusus) turbulence in chamber induced by rods, e= 10-4 m2 s-3; 10-8 m2 s-3 Sullivan and Swift, 2003

Ceratium tripos turbulence in chamber induced by rods, e= 10-4 m2 s-3; 10-8 m2 s-3 Sullivan and Swift, 2003

Ceratocorys horrida continuous turbulence generated by orbital shaker, share stress from 0,012 ± 0,028 x 10-3 Nm-2 to 3,196 ± 1,413 x 10-3 Nm-2 Zirbel et al., 2000

natural turbulence generated by wind, upwelling systems Smayda, 2010

Crypthecodinium cohnii continuous orbital shaking, 150 rpm or 200 rpm (shear stress= from 0,002 to 0,004 N m-2 Yeung and Wong, 2003

Dinophysis acuminata turbulence induced by oscillating grids, e=0,5-8*10-6 m2 s-3; 0.3-4x10-5 m2 s-3; 0.5-4x10-4 m2 s-3 García-Portela et al., 2019

Dinophysis acuta turbulence induced by oscillating grids, e=0,5-8x10-6 m2 s-3; 0.3-4x10-5 m2 s-3; 0.5-4x10-4 m2 s-3 García-Portela et al., 2019

Glenodinium foliaceum ( = Kryptoperidinium foliaceum) centrifugation, 810 rpm Bricheux et al., 1992

Gymnodinium catenatum turbulence in chamber induced by rods, e= 10-4 m2 s-3; 10-8 m2 s-3 Sullivan and Swift, 2003

Gymnodinium nelsonii (=Akashiwo sanguinea) turbulence induced by circular polyethylene grid oscillating up and down, 20 rpm Berdalet, 1992

Gyrodinium dominans turbulence induced by oscillating inox grids, e=1,2x10-2 cm2 s-3 Martínez et al., 2018

Heteroscapsa triquetra (=Kryptoperidinium triquetrum) continuous orbital shaking, 150 rpm or 200 rpm (shear stress= from 0,002 to 0,004 N m-2) Yeung and Wong, 2003

Karlodinium veneficum flow in chamber, fluid density= 1030 kg m-3 fluid viscosity= 1,3 x 10-3 Pa s Gallardo-Rodríguez et al., 2016

Lingulodinium polyedra ( = Gonyaulax polyedra) Couette flow, cylinder rotation= 8 rpm (17 rad s-1); 20 rpm (44 rad s-1) Gibson and Thomas, 1995

Couette flow, shear stress= from 0,3 to 16,6 dyn cm-2 Latz et al., 1994

flow in chamber, flow rates/shear stress=1 ml min-1/ 0,63 Pa; 2 ml min-1/ 1,25 Pa; 3 ml min-1/ 1,88 Pa; 4 ml min-1/ 2,5 Pa Mallipattu et al., 2002

turbulence in chamber induced by rods, e= 10-4 m2 s-3; 10-8 m2 s-3 Sullivan and Swift, 2003

stirring by rod, 2000 rpm Stires and Latz, 2018

Oxyrrhis marina turbulence induced by oscillating inox grids, e=1,2x10-2 cm2 s-3 Martínez et al., 2018

Peridiniella danica turbulence induced by oscillating inox grids, e=1,2x10-2 cm2 s-3 Martínez et al., 2018

Peridinium cinctum forma westii continuous rotary shaking or intermittent shaking, 100 r min-1 Pollingher and Zemel, 1981

Table 1. Continuation.

Prorocentrum cordatum Centrifugation, >500 g Matantseva et al., 2020

Protoceratium reticulatum flow in chamber, fluid density= 1030 kg m-3 fluid viscosity= 1,3 x 10-3 Pa s Gallardo-Rodriguez et al., 2016

Pyrocystis fusiformis Couette flow, shear stress= from 0,3 to 16,6 dyn cm-2 Latz et al., 1994

Pyrocystis lunula stirring on a magnetic stirrer Heimann et al., 2009

P. noctiluca (=P. pseudonoctiluca) Couette flow, shear stress= from 0,3 to 16,6 dyn cm-2 Latz et al., 1994

turbulence in chamber induced by rods, e= 10-4 m2 s-3; 10-8 m2 s-3 Sullivan and Swift, 2003

S. hexapraecingula high-pressure treatment in piston-cylinder-type pressure chamber, 69-196 MPa Sekida et al., 2012

ellate cell are still to be elucidated, but some data have already been obtained. It was shown that shear stress increased the plasma membrane fluidity in Lingulodinium polyedrum (syn. Gonyaulax polyedra) (Mallipattu et al., 2002) and Protoceratium reticula-tum (Gallardo-Rodriguez et al., 2012, 2016). Abrupt changes in the membrane fluidity can be sensed by mechanoreceptors and further transduced to the respective cellular targets by means ofone or another signaling pathway, as it was shown to occur in animal cells (Ingber, 2006; White and Frangos, 2007).

Dinoflagellate sensitivity to turbulence as a potential target to control their blooms

Until now, there is no widely accepted and applied method to prevent and control HABs. Clay dispersal, which is considered the most promising currently used technique, is not selective and affects different planktonic organisms; moreover, each flocculant requires thorough investigations to test it for toxicity and accumulation in tissues of marine organisms (Gallardo-Rodriguez et al., 2019). We assume that sensitivity of dinoflagellates to turbulence can be used as a target to combat their blooms. Natural turbulence generated by wind and wave activity or in the regions of upwelling can trigger ecdysis and inhibit growth of dinoflagellates in the sea (Wyatt and Jenkinson, 1997; Smayda, 2010; Smayda and Trainer, 2010). It is recognized as one of the significant factors influencing the bloom dynamics with increased turbulence resulting in fast bloom termination (Shutler et al., 2015) and reduced turbulence associated with the initiation of HABs (Brown et al., 2020).

Turbulence generated artificially by means of pumping or another engineering approach could become an environmentally friendly and effective

solution for the HAB problem at aquaculture sites. This approach would be selective to dinoflagellates, since they are the most turbulence-sensitive marine protists (Thomas and Gibson, 1990a; Wang and Lan, 2018; Arnott et al., 2021) and therefore, even low levels of artificially-induced turbulence comparable to those found in natural ecosystems have a potential to suspend their growth with no negative effect on other groups of organisms. Generation ofturbulence at large scales may seem difficult to achieve, but water- and air-pumping systems have been applied to aquaculture before to mix the water column and thus impair algae buoyancy or remove them from a photic zone (Brown et al., 2020). Moreover, airlift upwelling is used in salmon farms to bring deep water free of algae to the cages (Gallardo-Rodriguez et al., 2019).

Pumping systems operating at large scales require a lot of energy, but solar power solutions are already available (Vo et al., 2021). Moreover, laboratory studies demonstrate that intermittent turbulence would be sufficient to suppress the dinoflagellate growth (Pollingher and Zemel, 1981; Gibson and Thomas, 1995). If intermittent turbulence is applied in the dark time of a day, as it was the case in the work by Pollingher and Zemel (1981), diurnal vertical migration typical to dinoflagellates (Cullen, 1985; Olsson and Granéli, 1991) has to be taken into account to choose the optimal depth for water agitation.

One ofthe advantages ofthe suggested approach would be an ability to regulate the intensity of turbulence/shear stress depending on the aims. With the support ofthe model-based HAB forecasts, generation of artificial turbulence of lower intensity could prevent initiation of a blooming event, whereas turbulence of high intensity could be applied to disrupt an ongoing dinoflagellate bloom. A possibility to suspend growth of dinoflagellates

and not to destruct their cells at the same time is also beneficial, since such action would not be associated with nutrients and toxins release from cells.

Potential shortcomings of the turbulence-based HAB control approach may be linked to still incomplete understanding of the extremely complex, direct and indirect, phytoplankton-tur-bulence interactions that are reviewed by Arnott with co-authors (Arnott et al., 2021). Some unexpected negative ecosystem consequences of the artificial water agitation cannot be excluded, although their probability does not seem high, given the low turbulence intensity sufficient to affect dino-flagellates, its plausible intermittent use and possible horizontal application that would not involve vertical mixing disrupting the water column gradients.

In order to translate the idea of using dinoflagellate sensitivity to turbulence/shear stress into practice, more research on different bloom-forming dinoflagellate species is needed. Additionally, the transfer of the existing approaches to generate artificial turbulence from the lab and mesocosm studies (see Arnott et al., 2021 for a review of such methods and key phytoplankton-turbulence laboratory experiments) to larger aquaculture systems is required. Such studies should involve a tight collaboration of ecologists with the experts in fluid dynamics and engineers.

Acknowledgements

This work was supported by the Russian Science Foundation, project No 18-74-10093.

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Address for correspondence: Olga Matantseva. Institute of Cytology RAS, Tikhoretsky Ave. 4, 194064 St. Petersburg, Russia; e-mail: matantseva@incras.ru

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