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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2017.00240</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Marine Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Consequences of Stinging Plankton Blooms on Finfish Mariculture in the Mediterranean Sea</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Bosch-Belmar</surname> <given-names>Mar</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/438560/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Milisenda</surname> <given-names>Giacomo</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/364098/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Girons</surname> <given-names>Albert</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Taurisano</surname> <given-names>Valentina</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Accoroni</surname> <given-names>Stefano</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/440662/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Totti</surname> <given-names>Cecilia</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/462432/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Piraino</surname> <given-names>Stefano</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x0002A;</sup></xref>
<xref ref-type="author-notes" rid="fn004"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/186858/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Fuentes</surname> <given-names>Ver&#x000F3;nica</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="author-notes" rid="fn004"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/439124/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Dipartimento di Scienze e Tecnologie Biologiche ed Ambientali, Universit&#x000E0; del Salento</institution> <country>Lecce, Italy</country></aff>
<aff id="aff2"><sup>2</sup><institution>Consorzio Nazionale Interuniversitario per le Scienze del Mare</institution> <country>Rome, Italy</country></aff>
<aff id="aff3"><sup>3</sup><institution>Dipartimento Terra e Ambiente, CNR&#x02014;IAMC</institution> <country>Mazara del Vallo, Italy</country></aff>
<aff id="aff4"><sup>4</sup><institution>ICTIOVET S.L.</institution> <country>Barcelona, Spain</country></aff>
<aff id="aff5"><sup>5</sup><institution>Dipartimento di Scienze della Vita e dell&#x00027;Ambiente, Universit&#x000E0; Politecnica delle Marche</institution> <country>Ancona, Italy</country></aff>
<aff id="aff6"><sup>6</sup><institution>Institut de Ci&#x000E8;ncies del Mar, ICM-CSIC</institution> <country>Barcelona, Spain</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Cosimo Solidoro, National Institute of Oceanography and Experimental Geophysics, Italy</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Jennifer Estelle Purcell, Western Washington University, United States; Jan Marcin Weslawski, Institute of Oceanology (PAN), Poland</p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x0002A;Correspondence: Mar Bosch-Belmar <email>bosch-belmar&#x00040;conisma.it</email></p></fn>
<fn fn-type="corresp" id="fn002"><p>Stefano Piraino <email>stefano.piraino&#x00040;unisalento.it</email></p></fn>
<fn fn-type="other" id="fn003"><p>This article was submitted to Marine Ecosystem Ecology, a section of the journal Frontiers in Marine Science</p></fn>
<fn fn-type="other" id="fn004"><p>&#x02020;Senior Authors.</p></fn></author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>08</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>4</volume>
<elocation-id>240</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>05</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>07</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017 Bosch-Belmar, Milisenda, Girons, Taurisano, Accoroni, Totti, Piraino and Fuentes.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Bosch-Belmar, Milisenda, Girons, Taurisano, Accoroni, Totti, Piraino and Fuentes</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>In recent years, caged finfish mariculture across European seas suffered production losses by severe fish mortality, following episodic outbreaks of invertebrate cnidarian stingers. Due to their stinging cells and injectable venoms, medusozoan jellyfish, or drifting propagules of polyp colonies at high density may impair caged fish health through toxic effects on vulnerable tissues of gills and skin, and related secondary bacterial infections. Gill disorders in European sea bass (<italic>Dicentrarchus labrax</italic>) fish farms along the Spanish Mediterranean coast are commonly reported, but regular monitoring of the frequency of cnidarian outbreaks and their potential impacts on caged fish is still poorly enforced. In this study, two sea bass mariculture farms in Southern Spain (M&#x000E1;laga; Almer&#x000ED;a) were monitored biweekly for zooplankton, phytoplankton and fish gills condition, over 13 or 30 months for the M&#x000E1;laga and Almer&#x000ED;a facilities, respectively, within the period 2012&#x02013;2014. Significant, direct correlations were found among low water temperature, recorded fish mortalities, and high abundances of planktonic cnidarians, particularly of the hydrozoan siphonophores <italic>Muggiaea atlantica and M. kochii</italic>, and the larval stage of <italic>Ectopleura larynx</italic>, a common member of cage biofouling communities. A significant relationship between cnidarian densities and the quantitative scoring of gill pathology was also observed. In addition, high densities of long-bristled planktonic diatoms (<italic>Chaetoceros</italic> spp.) coincided with a major fish mortality event (April 2012, Almer&#x000ED;a farm). Standardised monitoring of plankton dynamics and composition may help in promoting response capacities of Mediterranean mariculture managers to fish health challenges (such as stinging plankton blooms) by (a) improving diagnostic tools and preventative countermeasures and (b) supporting the development of science-based spatial planning and sustainable growth of coastal mariculture.</p>
</abstract>
<kwd-group>
<kwd>gelatinous zooplankton</kwd>
<kwd>marine aquaculture</kwd>
<kwd>European sea bass</kwd>
<kwd>gill disorders</kwd>
<kwd>southwestern Mediterranean</kwd>
</kwd-group>
<contract-num rid="cn001">266445</contract-num>
<contract-num rid="cn002">678193</contract-num>
<contract-sponsor id="cn001">Seventh Framework Programme<named-content content-type="fundref-id">10.13039/100011102</named-content></contract-sponsor>
<contract-sponsor id="cn002">Horizon 2020 Framework Programme<named-content content-type="fundref-id">10.13039/100010661</named-content></contract-sponsor>
<counts>
<fig-count count="8"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="50"/>
<page-count count="11"/>
<word-count count="7203"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>With 29% of wild fish stocks exploited at biologically unsustainable levels, and global capture fisheries almost at same yield in the last 30 years, marine aquaculture has undergone a rapid expansion worldwide, being now the major source of increasing fish food supply, with large potential for economic growth (FAO, <xref ref-type="bibr" rid="B19">2016</xref>). Stinging jellyfish proliferations can affect marine fish farming (Baxter et al., <xref ref-type="bibr" rid="B3">2011a</xref>; Rodger et al., <xref ref-type="bibr" rid="B41">2011a</xref>; Purcell et al., <xref ref-type="bibr" rid="B38">2013</xref>), with negative repercussions on highly productive coastal and offshore systems.</p>
<p>In recent years, facilities from Asia, Australia, North and South America reported sudden fish mortalities as consequences of episodic blooms of different jellyfish species (Palma et al., <xref ref-type="bibr" rid="B34">2007</xref>; Doyle et al., <xref ref-type="bibr" rid="B16">2008</xref>; Willcox et al., <xref ref-type="bibr" rid="B49">2008</xref>; Purcell et al., <xref ref-type="bibr" rid="B38">2013</xref>). Physical contact of sensitive fish tissues (skin and gills) with conspicuous semeostomeae scyphozoan jellyfish <italic>Pelagia noctiluca</italic> and <italic>Aurelia aurita</italic> has been identified as the primary agent of repeated mass fish deaths (in 2007, 2010, 2013, and 2014) at salmon facilities in northern Europe (Doyle et al., <xref ref-type="bibr" rid="B16">2008</xref>; FIS, <xref ref-type="bibr" rid="B20">2014</xref>; Marcos-L&#x000F3;pez et al., <xref ref-type="bibr" rid="B29">2016</xref>). Stinging jellies are washed up on fish cages by currents, and can be either broken in pieces or their early stages may be small enough to enter the net cages and get in touch with caged fishes. In parallel, a few studies reported the impact of less conspicuous planktonic stingers on mariculture, with best evidence on the hydrozoan siphonophore <italic>Muggiaea atlantica</italic> and the microscopic hydromedusae <italic>Solmaris corona</italic> and <italic>Phialella quadrata</italic> as determinants of fish mortalities in Irish and Scottish fish farms (Baxter et al., <xref ref-type="bibr" rid="B3">2011a</xref>; Fitridge and Keough, <xref ref-type="bibr" rid="B21">2013</xref>; Purcell et al., <xref ref-type="bibr" rid="B38">2013</xref>).</p>
<p>Additional issues arise for aquaculture from biofouling. Together with the restriction of water flow through net occlusions, the development of large hydrozoan polyp colonies on cage nets eventually lead to seasonal release of free-living propagules inside the cages, such small jellyfish (e.g., <italic>Obelia</italic> spp.), or the larvae of progenetic hydroids (e.g., the tubulariid <italic>Ectopleura larynx</italic>; Baxter et al., <xref ref-type="bibr" rid="B4">2012</xref>). Tiny and almost transparent medusae, siphonophores, and hydrozoan larvae may easily remain unnoticed to aquaculture operators, but they can develop high density blooms, be inhaled by fish, and inflict severe damage due to nematocyst discharge and consequent tissues envenomation (Foss&#x000E5; et al., <xref ref-type="bibr" rid="B22">2003</xref>). A range of morphological injuries caused by contacts with cnidarian stinging cells have been described on several cultured fish species (Baxter et al., <xref ref-type="bibr" rid="B5">2011b</xref>; Bosch-Belmar et al., <xref ref-type="bibr" rid="B10">2016b</xref>; Marcos-L&#x000F3;pez et al., <xref ref-type="bibr" rid="B29">2016</xref>). Available evidence shows that a few hours of exposure to stinging cells may lead to severe damage at cellular, tissue and systemic levels, including changes in fish metabolic performances (Bosch-Belmar et al., <xref ref-type="bibr" rid="B9">2016a</xref>).</p>
<p>Gill disorders are considered to be a major problem for fish aquaculture and are usually referred to any of different causes, including jellyfish, phytoplankton, parasites, bacteria, and viruses (Rodger, <xref ref-type="bibr" rid="B40">2007</xref>). To date, several marine fish farms in northern European seas have started plankton monitoring as standard preventative tool against potential impacts. On the contrary, little or no plankton monitoring activities have been launched in Mediterranean mariculture facilities.</p>
<p>Since 2009, two off-shore fish farms located in southern Spain (Almer&#x000ED;a and M&#x000E1;laga) suffered repeated mortality events of caged European sea bass (<italic>Dicentrarchus labrax</italic>), for which no causative agent was clearly identified. Specifically, bacterial and known viral diseases, parasites or hypoxic events in the fish cages were excluded by veterinary controls. Injured sea bass showed clinical signs similar to those described by Rodger et al. (<xref ref-type="bibr" rid="B41">2011a</xref>) in farmed salmons exposed to jellyfish blooms in the Irish Sea: lethargic behavior, atypical swimming close to the surface, visible respiratory distress, interrupted feeding, and dead or moribund individuals. For this reason, in 2012 a combined plankton vs. fish gill survey was launched at both aquaculture facilities to [I] disclose the spatial and seasonal variability of the plankton community accessing the fish cages; and [II] test the hypothesis of a direct relationship between the occurrence of potentially harmful plankton (i.e., stinging species) and fish health.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and methods</title>
<sec>
<title>Study sites</title>
<p>Aquaculture facilities were located 206 km apart in the M&#x000E1;laga Bay and the Almer&#x000ED;a Gulf in the Alboran Sea (Figure <xref ref-type="fig" rid="F1">1</xref>), a transitional area connecting the Atlantic Ocean to the Western Mediterranean. Characterized by high hydrodynamics, upwelling of cold, nutrient-rich subsurface waters (Sarhan et al., <xref ref-type="bibr" rid="B45">2000</xref>), the Alboran Sea basin is a highly productive region in the upper 200 m layer for zooplankton (Thibault et al., <xref ref-type="bibr" rid="B47">1994</xref>) and near-surface phytoplankton (Sanchez-Vidal et al., <xref ref-type="bibr" rid="B44">2004</xref>; Navarro et al., <xref ref-type="bibr" rid="B32">2011</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Fish farms locations in the Spanish coast of the Alboran Sea: (1) M&#x000E1;laga Bay and (2) Almer&#x000ED;a Gulf.</p></caption>
<graphic xlink:href="fmars-04-00240-g0001.tif"/>
</fig>
<p>Both fish farms are off-shore facilities for European sea bass (<italic>D. labrax</italic>) and Gilthead sea bream (<italic>Sparus aurata</italic>) production in floating cages, from 15 g fry to commercial size (300&#x02013;500 g). Floating cages of 25 m in diameter and 10 m in depth were placed at sites with water depth ranging 30&#x02013;50 m.</p>
</sec>
<sec>
<title>Sampling and sample processing</title>
<p>Monitoring was performed from January 2012 to June 2014 for the Almer&#x000ED;a facility and from June 2013 to June 2014 for the M&#x000E1;laga fish farm. Temperature and fish stocks mortality data were provided by the veterinary staff of the facilities. Temperature was recorded daily at 5 m depth by a sensor (Oxyguard) located in the cages and fish mortality was reported on a weekly basis. Only mortality events without a clearly identified causative agent and with fish pathologies as described by Rodger et al. (<xref ref-type="bibr" rid="B41">2011a</xref>) were considered for further analyses.</p>
<p>Zooplankton samples were collected biweekly, using a net of 200-&#x003BC;m mesh with a filtering cod-end and a digital flow meter (Hydrobios, model 438110) to determine the volume of filtered water. To characterize the potentially harmful plankton community in the facility area, three replicate vertical net hauls were carried out at each sampling sites, located in the close proximity of cage nets (two cages in Almer&#x000ED;a, one cage in M&#x000E1;laga), and near the northern and southern perimetric buoys of the two facilities (at 350&#x02013;500 m distance from fish cages), from &#x02212;10 m depth to surface. In a preceding 8-month pilot study with the same sampling methodology at the Almer&#x000ED;a fish farm, no significant differences in monthly plankton densities inside and outside the fish cages (<italic>F</italic><sub>1</sub> &#x0003D; 1.90, <italic>p</italic> &#x0003D; 0.07) were recorded. Thus, the plankton survey in this study was carried out immediately outside the cages, to prevent any stress on the farmed fish by the sampling activities. A number of 12 or 9 samples for each sampling time were collected in the Almer&#x000ED;a and M&#x000E1;laga fish farms, respectively.</p>
<p>All zooplankton samples were preserved in a 4% neutral buffered formalin solution. In the laboratory, gelatinous zooplankton was quantified (individuals m<sup>&#x02212;3</sup>) and sorted in 5 different taxa (Cnidaria, Polychaeta, Larvacea, Thaliacea, Chaetognatha). Cnidarian zooplankton was identified to genus or species level in most cases. Crustacean taxa were not taken in consideration in this study because there is no available evidence of crustaceans, apart from easily detectable ectoparasites, affecting fish health through gill, and skin lesions.</p>
<p>Phytoplankton samples were collected at the same time and sites as zooplankton, by use of a Lund tube (a weighted polyethylene tube 2 cm in diameter) of 5 m length (Lund and Talling, <xref ref-type="bibr" rid="B28">1957</xref>). From the total sample, a subsample of 500 ml was taken after homogenization, and was preserved by adding 1 ml of neutral Lugol&#x00027;s Iodine solution. In laboratory, a variable subsample volume (25&#x02013;63 ml depending on the abundance observed) was settled in an Uterm&#x000F6;hl chamber (Edler and Elbr&#x000E4;chter, <xref ref-type="bibr" rid="B17">2010</xref>). Species identification and counting were performed using an inverted microscope (Zeiss Axiovert 135) equipped with phase contrast at 400x magnification, in 10&#x02013;30 random fields, in order to obtain a significant cell number. For each sample, abundances were expressed as number of cells per liter (cells l<sup>&#x02212;1</sup>). Results were screened for species potentially harmful for farmed fish.</p>
<p>Five to ten <italic>D. labrax</italic> specimens were randomly sampled for gill analysis from monitoring cages routinely once a month and every time that mortality in cages was recorded. During customary welfare analyses, qualified veterinary staff of the farms randomly caught fish specimens by hand net (avoiding moribund specimens to ensure best representation of the caged population), and immediately killed them by a combination of rapid clove oil anesthesia followed by chilling in ice/water slurry, in accordance with the best practices for welfare and stunning/killing procedures on cultured sea bass/sea bream in the Mediterranean (EFSA, <xref ref-type="bibr" rid="B18">2009</xref>; Panagiotis et al., <xref ref-type="bibr" rid="B35">2014</xref>). By working on dead animals provided by the fish farms, this study did not require approval by any ethics committee according to University of Salento guidelines and Italian national regulations.</p>
<p>Gill samples were taken from the second gill arch and were fixed in 10% neutral-buffered formalin. Samples were embedded in paraffin and 4-&#x003BC;m sections were stained with hematoxylin and eosin standard protocol. Slides were examined microscopically at 50x, 100x, and 400x magnifications. The gill score protocol created by Mitchell et al. (<xref ref-type="bibr" rid="B31">2012</xref>) was used to quantify gill damage. The index criteria for gill histopathology were lamellar hyperplasia, lamellar fusion, cellular anomalies (necrosis or sloughing), and lamellar oedema. A score from 0 to 3 was assigned for each parameter depending on injury extent (1: &#x0003C;10% affected surface, 2: 10&#x02013;50%, and 3: &#x0003E;50% of the gill epithelium injured). Ancillary criteria, such as hypertrophy, hemorrhage and the presence of specific pathogens, were assigned a score of 0 or 1. Pathogens affecting sea bass included the parasites <italic>Cryptocaryon</italic> sp., the monogenea <italic>Diplectanum</italic> sp., filamentous bacteria <italic>Tenacibaculum</italic> sp. and Epiteliocystis intracellular bacterial colonies. The injury scores were summed and total scores between 1 and 3 were considered to be typical of gills regularly observed in off-shore marine-farmed fish (A. Girons, pers. obs.).</p>
</sec>
<sec>
<title>Statistical analyses</title>
<p>Multiple analyses of variance&#x02014;(Anderson, <xref ref-type="bibr" rid="B1">2001</xref>) PRIMER software&#x02014;were performed in order to test for differences in the gelatinous zooplankton assemblage among covariates (date, farm, sampling site). The experimental design was composed by three factors: (1) &#x0201C;Date,&#x0201D; fixed with 12 levels; (2) &#x0201C;location,&#x0201D; fixed and orthogonal with 2 levels; and (3) &#x0201C;sampling site,&#x0201D; fixed and orthogonal with 2 levels. Moreover, the species that contributed most to the similarity in each location were characterized using the SIMPER routine (Clarke, <xref ref-type="bibr" rid="B15">1993</xref>).</p>
<p>An ordination of the zooplankton community based on the density of each group was obtained with a principal component analysis (PCA) in order to display graphically samples aggregation by taxa and to perform a preliminary assessment between biotic and abiotic variables. The PCA analysis was performed with the R-language function Princomp, which is available in the Vegan library (Oksanen et al., <xref ref-type="bibr" rid="B33">2005</xref>) of the R software platform. Generalized linear models (GLM) with a binomial distribution and a logit link were used to describe the relationship between different densities of the gelatinous zooplankton (independent variable) and the presence/absence of mortality events (response variable).</p>
<p>During the monitoring period four atypical mortality events&#x02014;i.e., not referable to known bacteria, viruses, parasites or hypoxia events&#x02014;were recorded in the Almer&#x000ED;a facility (April 2012, May 2012, January 2013, and March 2014) and only one in the M&#x000E1;laga fish farm (November&#x02013;December 2013). For this reason, analyses focused on the relation between stocks mortality and plankton densities over time were performed only for Almer&#x000ED;a.</p>
<p>GLM model with a Poisson error family and a logit link was applied to test for a relationship between the total fish gill score and cnidarian density in both facilities, after checking for the normality and homoscedastic condition. The same model and distribution was employed to describe the variation in density of harmful cnidarian species among different temperature values in the Almer&#x000ED;a facility. The relationship between cnidarian density and temperature in the M&#x000E1;laga fish farm was investigated through a generalized additive models (GAMs) with Poisson distribution, because of the non-linear relationship between variables (Wood, <xref ref-type="bibr" rid="B50">2006</xref>). These analyses were performed using the free statistical software R, version 3.2.3 (<ext-link ext-link-type="uri" xlink:href="http://cran.r-project.org">http://cran.r-project.org</ext-link>).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Harmful zooplankters</title>
<p>The overall abundance of gelatinous zooplankton was tested for differences over the sampling period, between fish farms, and between sampling sites (near-cages or perimetric sites) at each farm. A total number of 608 zooplankton samples were analyzed, with identification of 26 taxa of cnidarians (25 hydrozoans and 1 scyphozoan) (Supplementary Table <xref ref-type="supplementary-material" rid="SM1">I</xref>). Differences in total gelatinous zooplankton densities between near-cages and perimetric sampling sites were not significant (<italic>p</italic> &#x0003E; 0.05); however, the gelatinous zooplankton community changed significantly between facilities and over time (Table <xref ref-type="table" rid="T1">1</xref>, Supplementary Figures <xref ref-type="supplementary-material" rid="SM1">1</xref>, <xref ref-type="supplementary-material" rid="SM1">2</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Multiple analyses of variance (PERMANOVA) of the gelatinous zooplankton community comparing the Almer&#x000ED;a and M&#x000E1;laga aquaculture facilities (location), sampling sites (cage, external point), and sampling dates (date).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Source</bold></th>
<th valign="top" align="center"><bold>df</bold></th>
<th valign="top" align="center"><bold>SS</bold></th>
<th valign="top" align="center"><bold>MS</bold></th>
<th valign="top" align="center"><bold>Pseudo-F</bold></th>
<th valign="top" align="center"><bold>P(perm)</bold></th>
<th valign="top" align="center"><bold>perms</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Lo</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1,157.8</td>
<td valign="top" align="center">1157.8</td>
<td valign="top" align="center">4.9129</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">999</td>
</tr>
<tr>
<td valign="top" align="left">Da</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">49,927</td>
<td valign="top" align="center">3120.4</td>
<td valign="top" align="center">13.242</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">999</td>
</tr>
<tr>
<td valign="top" align="left">Si</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">202.6</td>
<td valign="top" align="center">202.6</td>
<td valign="top" align="center">0.8597</td>
<td valign="top" align="center">0.476</td>
<td valign="top" align="center">997</td>
</tr>
<tr>
<td valign="top" align="left">Lo &#x000D7; Da</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">8,186.4</td>
<td valign="top" align="center">629.73</td>
<td valign="top" align="center">2.6722</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">998</td>
</tr>
<tr>
<td valign="top" align="left">Lo &#x000D7; Si</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">138.96</td>
<td valign="top" align="center">138.96</td>
<td valign="top" align="center">0.5896</td>
<td valign="top" align="center">0.649</td>
<td valign="top" align="center">999</td>
</tr>
<tr>
<td valign="top" align="left">Da &#x000D7; Si</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">4,785.8</td>
<td valign="top" align="center">398.82</td>
<td valign="top" align="center">1.6924</td>
<td valign="top" align="center">0.017</td>
<td valign="top" align="center">998</td>
</tr>
<tr>
<td valign="top" align="left">Lo &#x000D7; Da x Si</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">1981.7</td>
<td valign="top" align="center">330.28</td>
<td valign="top" align="center">1.4015</td>
<td valign="top" align="center">0.148</td>
<td valign="top" align="center">997</td>
</tr>
<tr>
<td valign="top" align="left">Res</td>
<td valign="top" align="center">173</td>
<td valign="top" align="center">40,768</td>
<td valign="top" align="center">235.66</td>
<td/>
<td/>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left">Total</td>
<td valign="top" align="center">223</td>
<td valign="top" align="center" colspan="2">1.305&#x000B7;10<sup>5</sup></td>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x0201C;<italic>Lo&#x0201D; &#x0003D; location, 2 levels (Almer&#x000ED;a, M&#x000E1;laga); &#x0201C;Da&#x0201D; &#x0003D; date, 12 levels; &#x0201C;Si&#x0201D; &#x0003D; sampling site, 2 levels (cage, external point). P &#x0003C; 0.05 was considered significant</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>Four potentially harmful cnidarian species, previously known to be involved in mass mortalities of farmed salmons in northern Europe, were present in the Almer&#x000ED;a and M&#x000E1;laga fish farms: <italic>M. atlantica, P. quadrata, S. corona</italic>, and <italic>P. noctiluca</italic>. The hydrozoan siphonophore <italic>M. atlantica</italic> was present in both facilities, with peaks in spring 2012 (Almer&#x000ED;a), autumn 2013 (M&#x000E1;laga) and March 2014 (Almer&#x000ED;a and M&#x000E1;laga fish farms), with high abundances of both the polygastric colonial stages and the free living sexual stage (eudoxid) (up to 60 and 98 stages m<sup>&#x02212;3</sup>, respectively). The hydromedusae <italic>P. quadrata</italic> and <italic>S. corona</italic> occurred at low densities with autumn abundance peaks (between 3 and 8 ind m<sup>&#x02212;3</sup>) in 2013 in both facilities. The ephyra stages of the scyphozoan <italic>P. noctiluca</italic> were observed throughout the monitoring period at low-medium densities (from 1.50 to 15 ind m<sup>&#x02212;3</sup>) in both facilities.</p>
<p>SIMPER analysis (Table <xref ref-type="table" rid="T2">2</xref>) showed the cnidarian assemblage differed between facilities, with an average dissimilarity of 88%. The most representative species at the Almer&#x000ED;a fish farm were <italic>Podocorynoides minuta, Aglaura hemistoma</italic>, and <italic>Obelia dichotoma</italic>, while the most abundant species were <italic>O. dichotoma, M. atlantica</italic>, and <italic>M. kochii</italic>. In the M&#x000E1;laga fish farm, the most representative species were <italic>M. atlantica, P. minuta</italic>, and <italic>Eucheilota paradoxica</italic>. These species were also the most abundant, together with <italic>Stauridiosarsia gemmifera</italic>. Additional species typical of offshore waters were also recorded at low densities in both facilities (i.e., the trachymedusa <italic>Solmundella bitentaculata</italic> and the siphonophores <italic>Chelophyes appendiculata</italic> and <italic>Abylopsis tetragona</italic>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>SIMPER analysis on cnidarian species at both facilities.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="center" colspan="6"><bold>Almer&#x000ED;a fish farm</bold></th>
</tr>
<tr style="border-bottom: thin solid #000000;">
<th valign="top" align="center" colspan="6"><bold>Average Similarity: 14.32</bold></th>
</tr>
<tr>
<th valign="top" align="left"><bold>Species</bold></th>
<th valign="top" align="center"><bold>Av.Abund</bold></th>
<th valign="top" align="center"><bold>Av.Sim</bold></th>
<th valign="top" align="center"><bold>Sim/SD</bold></th>
<th valign="top" align="center"><bold>Contrib%</bold></th>
<th valign="top" align="center"><bold>Cum.%</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>Podocorynoides minuta</italic></td>
<td valign="top" align="center">0.44</td>
<td valign="top" align="center">1.74</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">12.13</td>
<td valign="top" align="center">12.13</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Aglaura hemistoma</italic></td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">1.69</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">11.83</td>
<td valign="top" align="center">23.96</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Obelia dichotoma</italic></td>
<td valign="top" align="center">0.42</td>
<td valign="top" align="center">1.56</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">10.92</td>
<td valign="top" align="center">34.89</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Abylopsis eschscholtzi</italic></td>
<td valign="top" align="center">0.31</td>
<td valign="top" align="center">1.13</td>
<td valign="top" align="center">0.21</td>
<td valign="top" align="center">7.86</td>
<td valign="top" align="center">42.75</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Muggiaea kochii</italic></td>
<td valign="top" align="center">0.3</td>
<td valign="top" align="center">1.07</td>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center">7.45</td>
<td valign="top" align="center">50.2</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Muggiaea atlantica</italic></td>
<td valign="top" align="center">0.4</td>
<td valign="top" align="center">1.05</td>
<td valign="top" align="center">0.21</td>
<td valign="top" align="center">7.35</td>
<td valign="top" align="center">57.55</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Rhopalonema velatum</italic></td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">0.52</td>
<td valign="top" align="center">0.21</td>
<td valign="top" align="center">3.64</td>
<td valign="top" align="center">61.19</td>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="center" colspan="6"><bold>M&#x000E1;laga fish farm</bold></td>
</tr>
<tr style="border-bottom: thin solid #000000;">
<td valign="top" align="center" colspan="6"><bold>Average similarity: 14.23</bold></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Species</bold></td>
<td valign="top" align="center"><bold>Av.Abund</bold></td>
<td valign="top" align="center"><bold>Av.Sim</bold></td>
<td valign="top" align="center"><bold>Sim/SD</bold></td>
<td valign="top" align="center"><bold>Contrib%</bold></td>
<td valign="top" align="center"><bold>Cum.%</bold></td>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="left"><italic>Muggiaea atlantica</italic></td>
<td valign="top" align="center">0.64</td>
<td valign="top" align="center">2.33</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center">16.39</td>
<td valign="top" align="center">16.39</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Podocorynoides minuta</italic></td>
<td valign="top" align="center">0.56</td>
<td valign="top" align="center">2.05</td>
<td valign="top" align="center">0.32</td>
<td valign="top" align="center">14.43</td>
<td valign="top" align="center">30.82</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Eucheilota paradoxica</italic></td>
<td valign="top" align="center">0.48</td>
<td valign="top" align="center">1.87</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">13.11</td>
<td valign="top" align="center">43.93</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Abylopsis eschscholtzi</italic></td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">1.59</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">11.17</td>
<td valign="top" align="center">55.1</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Stauridiosarsia gemmifera</italic></td>
<td valign="top" align="center">0.69</td>
<td valign="top" align="center">1.42</td>
<td valign="top" align="center">0.21</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">65.1</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Relationships with fish mortalities</title>
<p>To display potential taxon-specific relationships among fish mortalities recorded in the Almer&#x000ED;a fish farm, different gelatinous zooplankton groups and temperature, a PCA model was carried out (Figure <xref ref-type="fig" rid="F2">2</xref>), which displayed similar spatial trends in the PCA environment between fish mortalities and cnidarians.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Principal component analysis (PCA) of gelatinous zooplankton (cnidarians, polychaete larvae, larvaceans, chaetognaths, and thaliaceans), fish mortality and temperature in the Almer&#x000ED;a aquaculture facility.</p></caption>
<graphic xlink:href="fmars-04-00240-g0002.tif"/>
</fig>
<p>GLM analyses showed that the only significant and positive relationship with fish mortality in the Almer&#x000ED;a facility were due to coincidence with cnidarian abundances (<italic>Z</italic><sub>1</sub> &#x0003D; 4.04, <italic>p</italic> &#x0003D; 5&#x000B7;10<sup>&#x02212;5</sup>; Figure <xref ref-type="fig" rid="F3">3</xref>) when the average temperature was 15.75 &#x000B1; 0.52&#x000B0;C (mean &#x000B1; SE). Among the identified cnidarians, each of three species were significantly related with fish mortalities: the calycophoran siphonophores <italic>M. kochii</italic> (<italic>Z</italic><sub>1</sub> &#x0003D; 3.35, <italic>p</italic> &#x0003D; 0.02) and <italic>M. atlantica</italic> (<italic>Z</italic><sub>1</sub> &#x0003D; 2.55, <italic>p</italic> &#x0003D; 0.01), and the free-living actinula larvae of the hydroid <italic>E. larynx</italic> (Z<sub>1</sub> &#x0003D; 2.46, <italic>p</italic> &#x0003D; 0.01; Figure <xref ref-type="fig" rid="F4">4</xref>). Furthermore, fish mortalities occurred during coincident, multispecific blooms of cnidarians (Supplementary Figure <xref ref-type="supplementary-material" rid="SM1">1</xref>). Temperature was significantly and negatively related with mortality (Z<sub>1</sub> &#x0003D; &#x02212;5.69, <italic>p</italic> &#x0003D; 1.24&#x000B7;10<sup>&#x02212;8</sup>) and equally significantly and negatively related with the above cnidarian species (Z<sub>1</sub> &#x0003D; &#x02212;20.33, <italic>p</italic> &#x0003D; 2&#x000B7;10<sup>&#x02212;16</sup>; Figure <xref ref-type="fig" rid="F5">5</xref>).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Probability of a fish mortality event at different densities of cnidarians in the Almer&#x000ED;a facility. The dots at the top and bottom axes represent the mortality presence/absence over the monitoring.</p></caption>
<graphic xlink:href="fmars-04-00240-g0003.tif"/>
</fig>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Probability of fish mortality event at different densities of identified harmful cnidarian species (<italic>Muggiaea atlantica, Muggiaea kochii</italic>, and <italic>Ectopleura larynx</italic> actinula larvae). The dots at the top and bottom axes represent the mortality presence/absence over the monitoring.</p></caption>
<graphic xlink:href="fmars-04-00240-g0004.tif"/>
</fig>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Probability of fish mortality event at different water temperatures (above) and relationship between harmful cnidarian densities and water temperature (below).</p></caption>
<graphic xlink:href="fmars-04-00240-g0005.tif"/>
</fig>
<p>In the M&#x000E1;laga facility, significant inverse relation between cnidarian density and temperature was detected (&#x003C7;<sup>2</sup> &#x0003D; 780.50, <italic>p</italic> &#x0003D; 2&#x000B7;10<sup>&#x02212;16</sup>). The highest cnidarian densities were recorded at temperatures ranging from 15 to 19&#x000B0;C, but drastically decreased above 20&#x000B0;C. Temperature was 16.30 &#x000B1; 0.45&#x000B0;C when fish mortality was recorded (Nov-Dec 2013), paralleled by high abundance of <italic>M. atlantica</italic> (polygastric and eudoxid stages) and <italic>O. dichotoma</italic> medusae.</p>
</sec>
<sec>
<title>Harmful phytoplankters</title>
<p>More than 70 taxa of phytoplankton were identified in collected samples from both facilities. Several microalgae genera known to be potentially harmful for fish health were recorded at high densities in both fish farms. Among diatoms, a number of <italic>Chaetoceros</italic> species (i.e., <italic>C. lorenzianus, C. laciniosus</italic>, and <italic>C. didymus</italic>) occurred several times throughout the monitoring period in both facilities, with a density peak of 8.43&#x000B7;10<sup>5</sup> cells l<sup>&#x02212;1</sup> in April 2012 in the Almer&#x000ED;a fish farm, when fish mortality was recorded. The silicoflagellate <italic>Dictyocha speculum</italic> was also found at high densities in the M&#x000E1;laga installation (2.60&#x000B7;10<sup>3</sup> cells l<sup>&#x02212;1</sup>) and <italic>Pseudo-nitzschia</italic> spp. occurred during 2012, with an abundance peak in August (3.1&#x000B7;10<sup>5</sup> cells l<sup>&#x02212;1</sup>), but the presence of both species did not coincide with fish mortality events.</p>
</sec>
<sec>
<title>Gill damage</title>
<p>Histological analyses from both facilities revealed moderate to severe damage in the fish gills, including generalized inflammation of gill epithelium, lamellar hyperplasia and fusion, oedema and in many cases necrotic patches with advanced bacterial infection (Figure <xref ref-type="fig" rid="F6">6</xref>). Gill scoring analysis showed different peaks of severe gill damage in the sampled fish. Regression between histological scores and total cnidarian densities was significant and positive (Z<sub>1</sub> &#x0003D; 4.34, <italic>p</italic> &#x0003D; 1.44&#x000B7;10<sup>&#x02212;5</sup>) for the Almer&#x000ED;a fish farm (Figure <xref ref-type="fig" rid="F7">7</xref>). High farmed fish mortalities were recorded four time over the monitoring (April&#x02013;May 2012, January 2013, and March 2014), but elevated scores were also observed in November 2012 and April 2014 (Figure <xref ref-type="fig" rid="F8">8</xref>).</p>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption><p><bold>(A)</bold> Healthy gills with undamaged primary lamellae and presence of mucous cells (400x); <bold>(B&#x02013;D)</bold>. Pathological features in gills from sampled <italic>Dicentrarchus labrax</italic> at aquaculture facilities in Spain; <bold>(B)</bold> Lamellar oedema (black arrows); <bold>(C)</bold> Hyperplasia of primary lamellae (black arrows), lymphocytes accumulation (black circle), and 1, lacunae formation; 2, circulatory disturbances (telangectasia); 3, lamellar fusion; <bold>(D)</bold> cellular degeneration.</p></caption>
<graphic xlink:href="fmars-04-00240-g0006.tif"/>
</fig>
<fig id="F7" position="float">
<label>Figure 7</label>
<caption><p>Generalized linear model between total gill score and cnidarian density for the Almer&#x000ED;a facility (above) and the M&#x000E1;laga fish farm (below).</p></caption>
<graphic xlink:href="fmars-04-00240-g0007.tif"/>
</fig>
<fig id="F8" position="float">
<label>Figure 8</label>
<caption><p>Cnidarian densities and gill scores over time for the Almer&#x000ED;a and M&#x000E1;laga fish farms.</p></caption>
<graphic xlink:href="fmars-04-00240-g0008.tif"/>
</fig>
<p>Significant and positive regression between gill scores and cnidarian densities was also observed for the M&#x000E1;laga fish farm (Z<sub>1</sub> &#x0003D; 5.03, <italic>p</italic> &#x0003D; 4.83&#x000B7;10<sup>&#x02212;7</sup>; Figure <xref ref-type="fig" rid="F7">7</xref>). The only fish mortality event recorded in this facility was at the end of November and continued in December 2013, but cnidarian density peaks associated with high gill damage scores were also observed in March and May 2014 (Figure <xref ref-type="fig" rid="F8">8</xref>).</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>To our knowledge, this is the first survey on potentially harmful plankton species carried out to investigate their role as hidden causative agents of farmed fish mortalities in Mediterranean aquaculture facilities. Farmed sea bass mortalities in the two facilities were more clearly related to spring and autumn water temperature and the peaks of abundance of three hydrozoan species, the siphonophores <italic>M. atlantica</italic> and <italic>M. kochii</italic> and the actinula larvae of the fouling hydroid colonies of <italic>E. larynx</italic>.</p>
<p><italic>Muggiaea atlantica</italic> was previously identified as a potentially harmful species for marine aquaculture in northern Europe, together with <italic>S. corona</italic> and <italic>P. quadrata</italic> (Baxter et al., <xref ref-type="bibr" rid="B3">2011a</xref>). Those species were also identified in samples from the two Mediterranean facilities but statistical analyses showed non-significant correlation of both hydromedusae densities and fish mortalities (Z<sub>1</sub> &#x0003D; &#x02212;0.01, <italic>p</italic> &#x0003D; 0.99 and Z<sub>1</sub> &#x0003D; &#x02212;0.002, <italic>p</italic> &#x0003D; 0.10 for <italic>S. corona</italic> and <italic>P. quadrata</italic>, respectively). High abundances of <italic>Muggiaea</italic> spp. eudoxid stages were recorded several times in both fish farms. Each calycophoran siphonophore polygastric stage asexually produces several eudoxids, a sexually-reproductive stage that feeds with stinging tentacles, as is the polygastric stage. High abundances of eudoxids could be detrimental for farmed fish health because hundreds of cnidocytes are present in each tentacle and may severely damage sensitive fish tissues. Mortality recorded in November-December 2013 in the M&#x000E1;laga facility coincided with a <italic>Muggiaea</italic> spp. reproductive event, reaching high abundances of polygastric colonies and tens of eudoxids in the water column.</p>
<p>The appearance of the microscopic actinula larvae of <italic>E. larynx</italic> were also correlated with fish kill events in the Almer&#x000ED;a facility. The actinulae were present when temperatures were low, from January to May and from November to December in both facilities. Over the course of the monitoring, several reproductive periods were observed, with the released actinula larvae reaching very high densities in the water during January 2013 (&#x0003E;200 ind m<sup>&#x02212;3</sup>) when thousands of fish died (Supplementary Figure <xref ref-type="supplementary-material" rid="SM1">1B</xref>). This hydroid usually forms part of cage fouling community in the North Sea where is a severe problem for fish farms (Guenther et al., <xref ref-type="bibr" rid="B26">2010</xref>; Carl et al., <xref ref-type="bibr" rid="B13">2011</xref>; Baxter et al., <xref ref-type="bibr" rid="B4">2012</xref>) and also in the Mediterranean Sea aquaculture facilities (facilities staff, pers. obs.). Guenther et al. (<xref ref-type="bibr" rid="B26">2010</xref>) demonstrated that after washing to clean the nets, this species regrows and occludes the net apertures rapidly. Underwater cleaning of the net cages resulted in higher numbers of <italic>E. larynx</italic> actinulae and polyps in the water column that could significantly affect caged fish health by injuring gill tissue after contact (Carl et al., <xref ref-type="bibr" rid="B13">2011</xref>; Baxter et al., <xref ref-type="bibr" rid="B4">2012</xref>).</p>
<p>The scyphozoan mauve stinger <italic>P. noctiluca</italic> is the most abundant and one of the most venemous jellyfish both in the Mediterranean Sea and in eastern Atlantic waters (Russell, <xref ref-type="bibr" rid="B43">1970</xref>), with the potential to reproduce all year long in some areas, such as the Strait of Messina, Italy (Milisenda et al., <xref ref-type="bibr" rid="B30">in press</xref>). Due to its envenomation potential and large population outbreaks, it is renowned as one of the most dangerous species for the European mariculture fish farms (Marcos-L&#x000F3;pez et al., <xref ref-type="bibr" rid="B29">2016</xref>). In zooplankton samples, <italic>P. noctiluca</italic> ephyra stages, deriving from recent metamorphosis of planula larvae, were observed at densities up to 15 ind m<sup>&#x02212;3</sup> several times in both facilities (mainly in February, June, and October). Adult <italic>P. noctiluca</italic> medusa were not collected by the vertical hauls during the monitoring period, however their occurrence at low density (&#x02264;1 ind m<sup>&#x02212;3</sup>) were visually recorded by the facility operators (unpublished data). In preceding years, the monitored facilities endured large aggregations of <italic>P. noctiluca</italic> adult medusae, leading in 2011 to severe fish mortalities (10 tons) with associated economic consequences (Bosch-Belmar et al., <xref ref-type="bibr" rid="B8">2017</xref>).</p>
<p><italic>Obelia dichotoma</italic> is another common hydrozoan species in Mediterranean coastal areas (Bouillon et al., <xref ref-type="bibr" rid="B11">2004</xref>; Gonz&#x000E1;lez-Duarte et al., <xref ref-type="bibr" rid="B23">2016</xref>). This species was observed in the Almer&#x000ED;a and M&#x000E1;laga facilities throughout the year, both as hydroids and medusae forming part of biofouling and zooplankton communities. The small hydromedusae were found at high densities in the Almer&#x000ED;a facility (maximum of 197.35 ind m<sup>&#x02212;3</sup>) when fish stock mortality was recorded in April 2012. However, despite its high concentrations, a significant relationship of this species with the recorded fish kill events was not found.</p>
<p>Harmful algal blooms produced by dinoflagellates, diatoms, silicoflagellates, raphidophytes, and prymnesiophytes (Gran&#x000E9;li and Turner, <xref ref-type="bibr" rid="B25">2006</xref>), are often associated to fish mortality episodes worldwide (Treasurer et al., <xref ref-type="bibr" rid="B48">2003</xref>; Burridge et al., <xref ref-type="bibr" rid="B12">2010</xref>). In our study, some phytoplankton taxa previously related with farmed fish kill events were recorded at high densities in both fish farms (Cembella et al., <xref ref-type="bibr" rid="B14">2002</xref>; Treasurer et al., <xref ref-type="bibr" rid="B48">2003</xref>). <italic>Chaetoceros</italic> is a colonial diatom genus characterized by long setae, which either can clogging gills causing asphyxia or can penetrate the gill tissues causing histological damages (Smayda, <xref ref-type="bibr" rid="B46">2006</xref>). Fish kills attributed to <italic>Chaetoceros</italic> occurred in Canada, USA and Scotland where abundances of 10<sup>5</sup> cells l<sup>&#x02212;1</sup> were recorded (Rensel, <xref ref-type="bibr" rid="B39">1992</xref>; Treasurer et al., <xref ref-type="bibr" rid="B48">2003</xref>). In analyzed samples, we recorded abundances of the same order of magnitude only during one farmed fish mortality event recorded in April 2012 in the Almer&#x000ED;a fish farm, therefore <italic>Chaetoceros</italic> should be taken into account as plankton species that may had contributed to fish mortality events.</p>
<p>On this respect, it is worth noting fish mortalities in the two Spanish facilities were detected in months characterized by either large peaks of abundance of renowned harmful species (<italic>Muggiaea</italic> spp., <italic>E. larynx</italic>) or by the coincident abundance of different plankters not always recognized as harmful taxa (including phytoplankters, <italic>P. noctiluca</italic> ephyrae, small hydromedusae) (Supplementary Figures <xref ref-type="supplementary-material" rid="SM1">1</xref>, <xref ref-type="supplementary-material" rid="SM1">2</xref>). This evidence may lead to the hypothesis that concurrent planktonic cnidarians (and even organisms with long stiff bristles, such as diatom phytoplankton cells) may also play a potential impact as guild (Piraino et al., <xref ref-type="bibr" rid="B36">2002</xref>; Boero et al., <xref ref-type="bibr" rid="B7">2008</xref>) because of their cumulative stinging potential, rather than as single species. Overall, low-medium densities of high number of mild stingers might produce similar effects as high concentrations of a single powerful stinger, both in open water and in fish farms. What makes the difference between low, medium, or highly harmful plankters? For cnidarians, it has been suggested that jellyfish stings of some species maybe more harmful than others not only because of chemical differences among venom types but also due to differential cnidocyst structure, with particular reference to the length of different stinging filaments, which may penetrate prey tissues at different depths (Purcell, <xref ref-type="bibr" rid="B37">1997</xref>; Kitatani et al., <xref ref-type="bibr" rid="B27">2015</xref>). If this would be confirmed as a general rule, it might be possible to predict the potential toxicity and harm for fish farms of cnidarian plankters (jellyfish, larvae, hydroid propagules) by investigating their cnidome composition, abundance, and cnidocyst morphology.</p>
<p>Total cnidarian densities were related with temperatures, with reduced densities during summer period, especially for species with a pelago-benthic life cycle. Previous observations revealed a typical summer impoverishment of the Mediterranean Sea filter feeders, including the disappearance of small hydrozoan colonies, entering in a resting phase as dormant creeping stolons (Boero and Fresi, <xref ref-type="bibr" rid="B6">1986</xref>; Bavestrello et al., <xref ref-type="bibr" rid="B2">2006</xref>; Gonz&#x000E1;lez-Duarte et al., <xref ref-type="bibr" rid="B24">2013</xref>). In the Almer&#x000ED;a farm, the fish mortalities were significantly related to cold months (Figure <xref ref-type="fig" rid="F5">5</xref>). In the M&#x000E1;laga facility, even though it was not possible to perform regression analyses, the unique recorded mortality event occurred at December 2013, coincident with high cnidarian densities (up to 30 ind m<sup>&#x02212;3</sup>).</p>
<p>Gill scoring presented a significant positive relationship with cnidarian abundances, and demonstrated the existence of severe gill disorders related with high cnidarian densities even when fish mortalities were not recorded. For example, in April 2014 in Almer&#x000ED;a and May 2014 in the M&#x000E1;laga fish farm, gill scores were 6 &#x000B1; 1.10 and 9.20 &#x000B1; 0.60, respectively, and jellyfish occurred in medium-high densities (19.71 &#x000B1; 3.07 ind m<sup>&#x02212;3</sup> in the Almer&#x000ED;a pen and 48.80 &#x000B1; 10.79 ind m<sup>&#x02212;3</sup> in the M&#x000E1;laga facility) but no fish mortalities were reported in these periods. Experimental studies with the scyphozoan <italic>A. aurita</italic> showed gill epithelium recovery required 2 weeks after even brief (10 h) contact between jellyfish and salmonids (Baxter et al., <xref ref-type="bibr" rid="B5">2011b</xref>). Equally, laboratory experiments carried out by Bosch-Belmar et al. (<xref ref-type="bibr" rid="B10">2016b</xref>), demonstrated partial recovery of sea bream gill tissue after 3 weeks from fish exposure to medium densities of <italic>P. noctiluca</italic>. These gill disorders used to pass unnoticed, but the consequences of this stressful situation (repeated contact with jellyfish) could be severe, and even if fish gill epithelium could recovered, fish metabolic performances may be affected and in the long term also fish growth could be compromised (Rodger et al., <xref ref-type="bibr" rid="B41">2011a</xref>,<xref ref-type="bibr" rid="B42">b</xref>; Bosch-Belmar et al., <xref ref-type="bibr" rid="B9">2016a</xref>).</p>
<p>This study allowed to identify some blooming and potentially injuring hydrozoan jellyfish species occurring in the monitored mariculture facilities, and to determine the range of temperatures boosting jellyfish proliferations. The optimal thermal values are typical of spring-autumn months, when small sea bass juveniles (15 g in weight) are usually transferred in cages at sea. As a consequence, most mortalities were recorded in different stocks with fish weights between 20 and 70 g. The interaction of biotic and abiotic factors together with the changing fish metabolism adapting to new conditions could create severe stressful situation for fingerling fish. Reduction of fish stock numbers or variation in juveniles&#x00027; cages introduction times could represent some of the preventive actions to minimize the impact of jellyfish blooms on farmed fish health. Due to the growth of the aquaculture sector and the increased frequency of jellyfish blooms in some coastal waters, the negative interactions of stinging jellyfish on caged finfish is expected to become a substantial issue producing highly relevant economic losses (Purcell et al., <xref ref-type="bibr" rid="B38">2013</xref>). Regular plankton monitoring will be crucial to gather site-specific information on potential harmful species, including their seasonal occurrence and densities, and predict potential impacts of harmful plankters in fish gill disorders and mortalities.</p>
</sec>
<sec id="s5">
<title>Author contributions</title>
<p>MB, VF, and SP conceived the study. Plankton and fish samplings were performed by MB and fish farms staff. Histological analysis of gill samples was carried out by AG. Zooplankton quantification and identification was performed by MB and VT, while phytoplankton screening and identification by CT and SA. MB and GM performed all statistical analysis and figures. MB, VF, and SP wrote the manuscript and all co-authors commented on and provided edits to the original manuscript.</p>
<sec>
<title>Conflict of interest statement</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</sec>
</body>
<back>
<ack><p>We wish to thank Maril&#x000F3; L&#x000F3;pez, M. Carmen Mar&#x000ED;n and all aquaculture facilities staff for their availability and excellent assistance during samplings. Furthermore, we are especially grateful to Dr. Jennifer E. Purcell and Dr. Jan Marcin Weslawski for critical revisions on the manuscript; Dr. Antonio Canepa and Dr. Emily Baxter for their help in monitoring design and cnidarians identification. This work has received funding from the European Union&#x00027;s projects MED-JELLYRISK (grant n. I-A/1.3/098 - ENPI CBCMED programme), VECTORS (Vectors of Change in Oceans and Seas Marine Life, Impact on Economic Sectors, grant n. 266445, FP7th programme) and CERES (Climate Change and European Aquatic Resources, grant n. 678193, Horizon 2020 programme).</p>
</ack>
<sec sec-type="supplementary-material" id="s6">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="http://journal.frontiersin.org/article/10.3389/fmars.2017.00240/full#supplementary-material">http://journal.frontiersin.org/article/10.3389/fmars.2017.00240/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Presentation1.PDF" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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