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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.2024.1325244</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>Immunomodulatory and antioxidant effects of functional aquafeeds biofortified with whole <italic>Laminaria digitata</italic> in juvenile gilthead seabream (<italic>Sparus aurata</italic>)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Marmelo</surname>
<given-names>Isa</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Dias</surname>
<given-names>Marta</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<contrib contrib-type="author">
<name>
<surname>Grade</surname>
<given-names>Ana</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Pous&#xe3;o-Ferreira</surname>
<given-names>Pedro</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Diniz</surname>
<given-names>M&#xe1;rio Sousa</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Marques</surname>
<given-names>Ant&#xf3;nio</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Maulvault</surname>
<given-names>Ana Lu&#xed;sa</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
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<aff id="aff1">
<sup>1</sup>
<institution>IPMA-DivAv - Portuguese Institute for the Sea and Atmosphere, Division of Aquaculture Upgrading and Bioprospection</institution>, <addr-line>Alg&#xe9;s</addr-line>, <country>Portugal</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>CIIMAR - Interdisciplinary Centre of Marine and Environmental Research, University of Porto</institution>, <addr-line>Matosinhos</addr-line>, <country>Portugal</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>UCIBIO - Applied Molecular Biosciences Unit, NOVA School of Science and Technology, Department of Chemistry, NOVA University of Lisbon</institution>, <addr-line>Caparica</addr-line>, <country>Portugal</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>MARE &#x2013; Marine and Environmental Sciences Center &amp; ARNET - Aquatic Research Network, Faculty of Sciences, University of Lisbon</institution>, <addr-line>Lisbon</addr-line>, <country>Portugal</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>IPMA-EPPO - Portuguese Institute for the Sea and Atmosphere, Aquaculture Research Station</institution>, <addr-line>Olh&#xe3;o</addr-line>, <country>Portugal</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Associate Laboratory i4HB - Institute for Health and Bioeconomy, NOVA School of Science and Technology, NOVA University of Lisbon</institution>, <addr-line>Caparica</addr-line>, <country>Portugal</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Amina Zuberi, Quaid-i-Azam University, Pakistan</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Leonel Pereira, University of Coimbra, Portugal</p>
<p>Sevdan Yilmaz, &#xc7;anakkale Onsekiz Mart University, T&#xfc;rkiye</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Isa Marmelo, <email xlink:href="mailto:isa.marmelo@ipma.pt">isa.marmelo@ipma.pt</email>; <email xlink:href="mailto:isammarmelo@gmail.com">isammarmelo@gmail.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>01</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>11</volume>
<elocation-id>1325244</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>10</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>01</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Marmelo, Dias, Grade, Pous&#xe3;o-Ferreira, Diniz, Marques and Maulvault</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Marmelo, Dias, Grade, Pous&#xe3;o-Ferreira, Diniz, Marques and Maulvault</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) and the copyright owner(s) 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>The increasing demand for healthy aquatic products has contributed to the rapid growth of aquaculture. Despite the many progresses, over the years, in aquaculture production, animal welfare and reduction of the stress induced by captivity remain a challenge in this sector, and overcoming it is fundamental to improve animal growth performance and resilience to environmental threats (e.g., disease outbreaks and/or climate change impacts). To address this challenge, aquafeeds biofortified with natural ingredients with functional properties, such as macroalgae, have emerged as a promising strategy to enhance fish immunity. The present study aimed at evaluating the potential of <italic>Laminaria digitata</italic> to improve juvenile gilthead seabream (<italic>Sparus aurata</italic>) physiological status and resilience, through the modulation of immunomodulatory and antioxidant responses. To explore this hypothesis, four independent treatments were carried out in which fish were fed with different experimental aquafeeds: control feed and biofortified feeds with 1.5%, 3% and 6% of whole <italic>L. digitata</italic> (incorporated as a dried and powdered ingredient). Fish (<italic>n</italic>=9) were collected from each treatment upon 30 and 60 days of biofortification in order to assess animal growth and condition indexes, haematological parameters, innate humoral parameters (antiprotease (AP) activity, peroxidase (POD) activity and immunoglobulin M (IgM)) and oxidative stress biomarkers (lipid peroxidation (LPO), catalase (CAT) activity, glutathione S-transferase (GST) activity, superoxide dismutase (SOD) activity and total antioxidant capacity (T-AOC)). Significant differences (&#x3b1; = 0.05) between treatments in biomarker responses were tested through a nested-design ANOVA, followed by Tukey HSD multiple comparisons. Pearson correlations between the different endpoints were also explored. Results indicate that a dietary inclusion of 1.5% <italic>L. digitata</italic> is the most effective biofortification dose, significantly improving antioxidant responses of <italic>S. aurata</italic>, by increasing levels of CAT, GST and T-AOC, along with the reduction in LPO levels. Additionally, the inclusion of 1.5% <italic>L. digitata</italic> enhances immunity by increasing the levels of IgM and POD, while maintaining the growth performance and condition indices of the fish. These findings underscore the potential utilization of <italic>L. digitata</italic> as a functional feed ingredient in aquaculture with relevant immune and antioxidant attributes.</p>
</abstract>
<kwd-group>
<kwd>aquaculture</kwd>
<kwd>functional feeds</kwd>
<kwd>seaweeds</kwd>
<kwd>animal welfare</kwd>
<kwd>immune responses</kwd>
<kwd>antioxidant responses</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="4"/>
<equation-count count="6"/>
<ref-count count="86"/>
<page-count count="16"/>
<word-count count="9916"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Marine Fisheries, Aquaculture and Living Resources</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Aquaculture is one of the fastest growing food sectors worldwide, driven by the increasing demand for healthy and nutritious aquatic products (<xref ref-type="bibr" rid="B21">FAO, 2022</xref>; <xref ref-type="bibr" rid="B81">Verdegem et&#xa0;al., 2023</xref>). Despite significant investments in technological advances aimed at optimizing the production and value of farmed seafood, nowadays, aquaculture expansion continues to be defied by several environmental threats that hamper farmed animals&#x2019; welfare, growth performance, quality, and survival. Among these threats, disease outbreaks are a primary concern for the sector, causing substantial animal and economical losses (<xref ref-type="bibr" rid="B7">Cain, 2022</xref>). In many instances, disease outbreaks in aquaculture facilities are not the result of an isolated factor (exposure to a specific pathogen), but rather a combination of multiple variables, such as the occurrence of co-infections (viral, bacterial, parasitic or fungal infections), exposure to abiotic conditions outside the species&#x2019; optimal range, and inappropriate nutrition, leading to a compromised immune system and increased formation of free radicals responsible for cell oxidation and damage (<xref ref-type="bibr" rid="B84">Yarahmadi et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B20">FAO, 2018</xref>; <xref ref-type="bibr" rid="B7">Cain, 2022</xref>). This complex interplay between the various stressors at stake and their effects emphasizes the urgent need to develop strategies to improve the welfare and resilience of aquaculture animals to environmental stressors.</p>
<p>Finding eco-friendly and cost-efficient ways of enhancing farmed animals&#x2019; immune system and antioxidant responses has now become more important than ever, as disease outbreaks are expected to become more frequent and severe in the future due to the foreseen changes of the climate, resulting in even greater losses for the aquaculture sector (<xref ref-type="bibr" rid="B21">FAO, 2022</xref>). It is widely acknowledged that the overall performance and disease resistance of fish are highly reliant on proper nutrition (<xref ref-type="bibr" rid="B53">Oliva-Teles, 2012</xref>). In this sense, an increasingly popular and promising strategy that is gaining attention in the aquaculture sector involves the use of functional feeds enriched with natural immunostimulant ingredients. The purpose of these feeds is not only covering the specific nutritional requirements of farmed fish species, but also to promote animal well-being and optimal functionality by enhancing their immune status (<xref ref-type="bibr" rid="B55">Passos et&#xa0;al., 2021</xref>). Seaweeds play a crucial role in this approach, as they are natural products with great potential as aquafeed ingredients, being rich in nutrients and biological active compounds, specifically polysaccharides (e.g., alginates, carrageenans, agar, fucoidan, &#x3b2;-glucan and mannitol), polyphenols (e.g., phenolic acids, phlorotannins, flavonoids, and halogenated derivatives) and carotenoids (e.g., fucoxanthin and &#x3b2;-carotene) (<xref ref-type="bibr" rid="B32">Holdt and Kraan, 2011</xref>; <xref ref-type="bibr" rid="B10">Costa et&#xa0;al., 2021</xref>). These bioactive compounds have demonstrated anti-inflammatory, immunomodulatory, antioxidant and antibacterial properties, making seaweeds valuable allies against fish pathogens and promoting overall fish health (<xref ref-type="bibr" rid="B50">Morais et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B74">Silva et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B6">Cai et&#xa0;al., 2021</xref>). Previous studies have reported that incorporating a wide range of seaweed species into aquafeeds yields promising health and immune outcomes for different aquatic species (<xref ref-type="bibr" rid="B56">Peixoto et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B73">Shi et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B55">Passos et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B78">Th&#xe9;pot et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B79">Th&#xe9;pot et&#xa0;al., 2022</xref>). However, while a fair amount of information on red and green macroalgae species&#x2019; nutritive and functional potential is already available, literature on brown macroalgae is still scarce. <italic>Laminaria digitata</italic>, a brown seaweed belonging to the <italic>Laminaria</italic> genus (Laminariaceae, Ochrophyta) is a native Irish species that is globally harvested and cultured (<xref ref-type="bibr" rid="B61">Purcell-Meyerink et&#xa0;al., 2021</xref>). The use of this species has had diverse applications in the food, pharmaceutical, bioenergy and animal sectors (<xref ref-type="bibr" rid="B61">Purcell-Meyerink et&#xa0;al., 2021</xref>), and recent studies have investigated its potential as a feed ingredient for several terrestrial farmed animal species, including chickens (<xref ref-type="bibr" rid="B11">Costa et&#xa0;al., 2022</xref>), pigs (<xref ref-type="bibr" rid="B65">Ribeiro et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B67">Ribeiro et&#xa0;al., 2023</xref>) and ruminants (<xref ref-type="bibr" rid="B3">Belanche et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B13">De La Moneda et&#xa0;al., 2019</xref>). Within the aquaculture context, only a very limited number of studies had demonstrated the positive impact of <italic>L. digitata</italic> in marine aquafeeds (<xref ref-type="bibr" rid="B66">Ribeiro et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B25">Ferreira et&#xa0;al., 2022b</xref>), specifically regarding its bioactive properties and their effects on immune parameters (<xref ref-type="bibr" rid="B9">Cipriano-Maack et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B54">Palstra et&#xa0;al., 2018</xref>). Hence, more research is needed to fully understand the potential of <italic>L. digitata</italic> as functional feed ingredient and validate its use as an efficient non-chemically based approach to mitigate disease outbreaks in aquaculture. To this purpose, defining the effective doses of seaweeds&#x2019; inclusion in aquafeeds (i.e., the dose that can trigger an immune and/or overall health improvement, while maintaining optimal feed digestibility and animal growth) is a crucial and rather challenging step, especially in the rearing of carnivorous marine species (e.g., gilthead seabream, <italic>Sparus aurata</italic>) that have particular nutritional requirements (<xref ref-type="bibr" rid="B22">FAO, 2023</xref>).</p>
<p>The main objective of the present study was to assess the functional potential of <italic>L. digitata</italic> (at different inclusion levels) as an effective approach to improve the immune (antiprotease activity, peroxidase activity and immunoglobulin M), antioxidant responses (lipid peroxidation, catalase activity, glutathione S-transferase activity, superoxide dismutase activity and total antioxidant capacity) and overall physiological well-being of farmed marine fish (<italic>Sparus aurata</italic>). The results herein presented are expected to highlight the potential of <italic>L. digitata</italic> as a promising functional feed ingredient whose use may contribute to the implementation of smarter, tailor-made and more environmentally-friendly aquaculture practices.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Ethical statement</title>
<p>The trial was performed by researchers certified in animal experimentation (EU functions A and B), and the animal handling and sampling procedures were conducted in compliance with the ARRIVE guidelines (Animal research: reporting of <italic>in vivo</italic> experiments) and ethics for the care and use of animals, following the recommendations of the Federation of European Laboratory Animal Science Associations (FELASA) and Portuguese legislation for Laboratory Animal Science (EU Directive 2010/63; Decreto-Lei n&#xb0; 113/2013). The study was approved by IPMA&#x2019;s Animal Welfare and Ethics Body (ORBEA), overseen by the National Authority for the use of live animals, also known as the Directorate-General for Food and Veterinary (DGAV).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Seaweed collection and experimental diets</title>
<p>Brown macroalga, <italic>Laminaria digitata</italic>, were harvested by boat from the Parc Marin d&#x2019;Iroise, a special area of conservation off the West coast of Brittany, France. The harvesters use the &#x201c;Scoubidou&#x201d; technology (<xref ref-type="bibr" rid="B58">P&#xe9;rez and Barbaroux, 1997</xref>) to gather the biomass between 5-10 m deep which is landed in Lannildut and transported by truck 15 km away to Algaia&#x2019;s factory in Lannilis. At the industrial facility, the biomass was selected, milled, and dried using a bench-top fluid-bed technology (TG200, Retsch, Germany). Dried samples were stored, packed, and sent to a company specialised in fish feed production (SPAROS Lda, Olh&#xe3;o, Portugal), which manufactured four diets with similar nutritional composition, considering the nutritional needs of juvenile gilthead seabream (<italic>Sparus aurata</italic>) (detailed feed composition can be consulted in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). All diets were formulated with the same feed ingredients, differing only in the percentage of powdered dry macroalga inclusion in detriment of wheat meal: i) one commercial control diet without seaweed supplementation (0%, CTR); ii) supplemented with 1.5% <italic>L. digitata</italic> (1.5-LD; low; corresponding the most economically viable alternative); iii) supplemented with 3% <italic>L. digitata</italic> (3-LD; average); and iv) supplemented with 6% <italic>L. digitata</italic> (6-LD; high; though, less economically viable alternative).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Ingredient composition (%) and proximate analysis (%DM) of the experimental diets (CTR, 1.5-LD, 3-LD, and 6-LD) used to feed <italic>Sparus aurata</italic> juveniles.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Ingredients (%)</th>
<th valign="middle" align="center">CTR</th>
<th valign="middle" align="center">1.5-LD</th>
<th valign="middle" align="center">3-LD</th>
<th valign="middle" align="center">6-LD</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Fishmeal Super Prime<sup>1</sup>
</td>
<td valign="middle" align="center">22.0</td>
<td valign="middle" align="center">22.0</td>
<td valign="middle" align="center">22.0</td>
<td valign="middle" align="center">22.0</td>
</tr>
<tr>
<td valign="middle" align="left">Fish protein concentrate<sup>2</sup>
</td>
<td valign="middle" align="center">2.0</td>
<td valign="middle" align="center">2.0</td>
<td valign="middle" align="center">2.0</td>
<td valign="middle" align="center">2.0</td>
</tr>
<tr>
<td valign="middle" align="left">Poultry meal<sup>3</sup>
</td>
<td valign="middle" align="center">5.0</td>
<td valign="middle" align="center">5.0</td>
<td valign="middle" align="center">5.0</td>
<td valign="middle" align="center">5.0</td>
</tr>
<tr>
<td valign="middle" align="left">Soy protein concentrate<sup>4</sup>
</td>
<td valign="middle" align="center">6.0</td>
<td valign="middle" align="center">6.0</td>
<td valign="middle" align="center">6.0</td>
<td valign="middle" align="center">6.0</td>
</tr>
<tr>
<td valign="middle" align="left">Pea protein concentrate<sup>5</sup>
</td>
<td valign="middle" align="center">2.0</td>
<td valign="middle" align="center">2.0</td>
<td valign="middle" align="center">2.0</td>
<td valign="middle" align="center">2.0</td>
</tr>
<tr>
<td valign="middle" align="left">Wheat gluten<sup>6</sup>
</td>
<td valign="middle" align="center">6.2</td>
<td valign="middle" align="center">6.2</td>
<td valign="middle" align="center">6.2</td>
<td valign="middle" align="center">6.2</td>
</tr>
<tr>
<td valign="middle" align="left">Corn gluten meal<sup>7</sup>
</td>
<td valign="middle" align="center">11.0</td>
<td valign="middle" align="center">11.0</td>
<td valign="middle" align="center">11.0</td>
<td valign="middle" align="center">11.0</td>
</tr>
<tr>
<td valign="middle" align="left">Soybean meal 44<sup>8</sup>
</td>
<td valign="middle" align="center">12.0</td>
<td valign="middle" align="center">12.0</td>
<td valign="middle" align="center">12.0</td>
<td valign="middle" align="center">12.0</td>
</tr>
<tr>
<td valign="middle" align="left">Sunflower meal<sup>9</sup>
</td>
<td valign="middle" align="center">4.0</td>
<td valign="middle" align="center">4.0</td>
<td valign="middle" align="center">4.0</td>
<td valign="middle" align="center">4.0</td>
</tr>
<tr>
<td valign="middle" align="left">Wheat meal<sup>10</sup>
</td>
<td valign="middle" align="center">9.2</td>
<td valign="middle" align="center">7.7</td>
<td valign="middle" align="center">6.2</td>
<td valign="middle" align="center">3.2</td>
</tr>
<tr>
<td valign="middle" align="left">Faba beans (low tannins)<sup>11</sup>
</td>
<td valign="middle" align="center">6.0</td>
<td valign="middle" align="center">6.0</td>
<td valign="middle" align="center">6.0</td>
<td valign="middle" align="center">6.0</td>
</tr>
<tr>
<td valign="middle" align="left">Vitamin and mineral premix<sup>12</sup>
</td>
<td valign="middle" align="center">1.0</td>
<td valign="middle" align="center">1.0</td>
<td valign="middle" align="center">1.0</td>
<td valign="middle" align="center">1.0</td>
</tr>
<tr>
<td valign="middle" align="left">Choline chloride 50%<sup>13</sup>
</td>
<td valign="middle" align="center">0.2</td>
<td valign="middle" align="center">0.2</td>
<td valign="middle" align="center">0.2</td>
<td valign="middle" align="center">0.2</td>
</tr>
<tr>
<td valign="middle" align="left">Monoammonium phosphate<sup>14</sup>
</td>
<td valign="middle" align="center">1.0</td>
<td valign="middle" align="center">1.0</td>
<td valign="middle" align="center">1.0</td>
<td valign="middle" align="center">1.0</td>
</tr>
<tr>
<td valign="middle" align="left">Fish oil<sup>15</sup>
</td>
<td valign="middle" align="center">5.0</td>
<td valign="middle" align="center">5.0</td>
<td valign="middle" align="center">5.0</td>
<td valign="middle" align="center">5.0</td>
</tr>
<tr>
<td valign="middle" align="left">Soybean oil<sup>16</sup>
</td>
<td valign="middle" align="center">7.4</td>
<td valign="middle" align="center">7.4</td>
<td valign="middle" align="center">7.4</td>
<td valign="middle" align="center">7.4</td>
</tr>
<tr>
<td valign="middle" align="left">Macroalga <italic>Laminaria digitata</italic>
<sup>17</sup>
</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1.5</td>
<td valign="middle" align="center">3.0</td>
<td valign="middle" align="center">6.0</td>
</tr>
<tr>
<td valign="middle" align="left">Dry matter, DM (%)</td>
<td valign="middle" align="center">94.3</td>
<td valign="middle" align="center">94.1</td>
<td valign="middle" align="center">93.9</td>
<td valign="middle" align="center">94.0</td>
</tr>
<tr>
<td valign="middle" align="left">Crude protein, %DM</td>
<td valign="middle" align="center">46.2</td>
<td valign="middle" align="center">46.1</td>
<td valign="middle" align="center">46.1</td>
<td valign="middle" align="center">45.9</td>
</tr>
<tr>
<td valign="middle" align="left">Crude fat, %DM</td>
<td valign="middle" align="center">16.1</td>
<td valign="middle" align="center">16.2</td>
<td valign="middle" align="center">16.2</td>
<td valign="middle" align="center">16.3</td>
</tr>
<tr>
<td valign="middle" align="left">Fiber, %DM</td>
<td valign="middle" align="center">2.5</td>
<td valign="middle" align="center">2.6</td>
<td valign="middle" align="center">2.6</td>
<td valign="middle" align="center">2.8</td>
</tr>
<tr>
<td valign="middle" align="left">Starch, %DM</td>
<td valign="middle" align="center">11.5</td>
<td valign="middle" align="center">10.6</td>
<td valign="middle" align="center">9.6</td>
<td valign="middle" align="center">7.7</td>
</tr>
<tr>
<td valign="middle" align="left">Ash, %DM</td>
<td valign="middle" align="center">7.6</td>
<td valign="middle" align="center">7.2</td>
<td valign="middle" align="center">6.9</td>
<td valign="middle" align="center">6.3</td>
</tr>
<tr>
<td valign="middle" align="left">Gross energy, MJ kg<sup>-1</sup>
</td>
<td valign="middle" align="center">21.1</td>
<td valign="middle" align="center">21.0</td>
<td valign="middle" align="center">21.0</td>
<td valign="middle" align="center">20.9</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>1</sup>Diamante: 66.3% crude protein (CP), 11.5% crude fat (CF), South America, Pesquera Diamante, Peru.</p>
</fn>
<fn>
<p>
<sup>2</sup>CPSP90: 82.6% CP, 9.6% CF, Soprop&#xea;che, France.</p>
</fn>
<fn>
<p>
<sup>3</sup>Poultry meal: 62.4% CP, 12.5% CF, SAVINOR UTS, Portugal.</p>
</fn>
<fn>
<p>
<sup>4</sup>Soycomil P: 62.2% CP, 0.7% CF, ADM, The Netherlands.</p>
</fn>
<fn>
<p>
<sup>5</sup>Lysamine GPS: 78.1% CP, 8.3% CF, Roquette, France.</p>
</fn>
<fn>
<p>
<sup>6</sup>VITAL: 80.4% CP, 5.8% CF, Roquette, France.</p>
</fn>
<fn>
<p>
<sup>7</sup>Corn gluten meal: 61.2% CP, 5.2% CF, COPAM, Portugal.</p>
</fn>
<fn>
<p>
<sup>8</sup>Soybean meal 44: 43.8% CP, 3.5% CF, solvent extracted, Ribeiro &amp; Sousa Lda., Portugal.</p>
</fn>
<fn>
<p>
<sup>9</sup>Sunflower meal (HiPro): 42.9% CP, 3.8% CF, dehulled solvent extracted, AGP Slovakia, s.r.o., Slovakia.</p>
</fn>
<fn>
<p>
<sup>10</sup>Wheat meal: 11.7% CP, 1.6% CF, Molisur, Spain.</p>
</fn>
<fn>
<p>
<sup>11</sup>Faba beans (low tannins): 24.5% CP, 1.7% CF, Ribeiro &amp; Sousa Lda., Portugal.</p>
</fn>
<fn>
<p>
<sup>12</sup>Vitamins (IU or mg kg<sup>-1</sup> diet): DL-alphatocopherol acetate, 100 mg; sodium menadione bisulphate, 25 mg; retinyl acetate, 20000 IU; DL-cholecalciferol, 2000 IU; thiamine, 30 mg; riboflavin, 30 mg; pyridoxine, 20 mg; cyanocobalamin, 0.1 mg; nicotidin acid, 200 mg; folic acid, 15 mg; ascorbic acid, 1000 mg; inositol, 500 mg; biotin, 3 mg; calcium panthotenate, 100 mg; choline chloride, 1000 mg, betaine, 500 mg. Minerals (g or mg kg<sup>-1</sup> diet): cobalt carbonate, 0.65 mg; copper sulphate, 9 mg; ferric sulphate, 6 mg; potassium iodide, 0.5 mg; manganese oxide, 9.6 mg; sodium selenite, 0.01 mg; zinc sulphate. 7.5 mg; sodium chloride, 400 mg; calcium carbonate, 1.86 g; excipient wheat middlings. Premix Lda., Portugal.</p>
</fn>
<fn>
<p>
<sup>13</sup>Choline chloride 50%: ORFFA, The Netherlands.</p>
</fn>
<fn>
<p>
<sup>14</sup>Windmill AQUAPHOS: 26% phosphorus, ALIPHOS, The Netherlands.</p>
</fn>
<fn>
<p>
<sup>15</sup>Fish oil: 98.1% CF, 16% EPA, 12% DHA, Soprop&#xea;che, France.</p>
</fn>
<fn>
<p>
<sup>16</sup>Soybean oil: 98.6% CF, JC Coimbra, Portugal.</p>
</fn>
<fn>
<p>
<sup>17</sup>
<italic>Laminaria digitata</italic>: Parc Marin d&#x2019;Iroise, Brittany, France.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Experimental trial and fish sampling</title>
<p>
<italic>Sparus aurata</italic> specimens were reared until the juvenile stage (8.05 &#xb1; 0.60 g total weight; 8.2 &#xb1; 0.1 cm total length; mean &#xb1; standard deviation, <italic>n</italic>=120) at the Aquaculture Research Station of the Portuguese Institute for the Sea and Atmosphere (EPPO-IPMA, Olh&#xe3;o, Portugal) using routine hatchery conditions, and transported to IPMA&#x2019;s Live Marine Organisms Bioterium (LABVIVOS) in Alg&#xe9;s (Portugal). After a 3-week quarantine period, fish were transplanted to the experimental systems, being randomly distributed in 12 rectangular shaped glass tanks (50 L each, total volume), within independent recirculating aquaculture systems (RAS). The experimental setup used is schematized in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> and comprised four treatments: i) Control treatment (commercial diet without seaweed supplementation); ii) 1.5% <italic>Laminaria digitata</italic> (feed with 1.5% inclusion of <italic>L. digitata</italic>); iii) 3% <italic>Laminaria digitata</italic> (feed with 3% inclusion of <italic>L. digitata</italic>); and iv) 6% <italic>Laminaria digitata</italic> (feed with 6% inclusion of <italic>L. digitata</italic>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Experimental setup.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1325244-g001.tif"/>
</fig>
<p>To maintain seawater quality and abiotic parameters at the adequate levels, each system was equipped with: i) protein skimmers (V<sup>2</sup>Skim Pro Protein Skimmer 450, TMC Iberia, Portugal) to remove excessive organic compounds in the water; ii) ultra-violet (UV) disinfection (VE<sup>2</sup>cton 200, TMC Iberia, Portugal); iii) physical filtration composed of a filter bag (400 micron; TMC Iberia, Portugal), filter sponge and glass wool; iv) biological filtration (V<sup>2</sup>Bio 1000 Fluidised Sand Bed Filter and Bio Balls 1.5&#x201d; Aquarium Pond Filter); v) automatic seawater refrigeration systems (Foshan WEINUO Refrigeration Equipment Co., Ltd, China) and submerged digital thermostats (300W, V<sup>2</sup>Therm Digital Heaters, TMC Iberia, Portugal) to control seawater temperature; and vi) submerged air stones displayed in each tank to control dissolved oxygen. Furthermore, fish faeces were removed daily in each incubation tank, and a 25% seawater renewal was performed. The system temperature was maintained at 20.0 &#xb1; 0.5&#xb0;C and dissolved oxygen was kept at 7.2 &#xb1; 0.2 mg L<sup>-1</sup>, whereas salinity and pH were 35.0 &#xb1; 0.5&#x2030; and 8.0 &#xb1; 0.1 units, respectively. Throughout the experiment we adhered to a 12h light/12h dark photoperiod regime. Water quality parameters such as ammonia (NH<sub>3</sub>/NH<sub>4</sub>), nitrite (NO<sub>2</sub>
<sup>-</sup>) and nitrate (NO<sub>3</sub>
<sup>-</sup>) levels were measured on a weekly basis using colorimetric tests (Tropic Marin, USA) and were kept below detectable levels, except for nitrates which were kept &lt; 50 mg L<sup>-1</sup>. Temperature was measured daily with a portable precision thermometer (TFX 430, Ebro Electronic, Germany), while the remaining seawater abiotic parameters (salinity, dissolved oxygen and pH) were monitored using a multi-parameter measuring instrument (Multi 3420 SET G, WTW, Germany), connected to an IDS (intelligent, digital sensor) digital conductivity cell (TetraCon<sup>&#xae;</sup> 925, WTW, Germany), an optical IDS DO sensor (FDO<sup>&#xae;</sup> 925, WTW, Germany) and an IDS pH-electrode (SenTix<sup>&#xae;</sup> 940, WTW, Germany). The seawater abiotic parameters were adjusted whenever necessary and remained stable throughout the experiment. Prior to initiating the trial, fish were allowed to acclimate to the experimental tanks for a week. During this period (and the quarantine), all animals were hand-fed twice a day with the commercial control diet (2% average body weight, bw). Once acclimated to experimental conditions, the feeding trial was initiated by hand-feeding fish with different experimental feeds (CTR, 1.5%, 3% or 6%) according to the treatment. No mortality occurred during the 60 days of trial. After 30 days (T30) and 60 days (T60) of feeding trial, nine fish per treatment (i.e. three fish from each replicate tank) were randomly collected and anaesthetized by immersion for 10 minutes in an overdosed tricaine methanesulfonate solution (2 g L<sup>-1</sup> of MS-222, Acros Organics, Belgium), buffered with sodium bicarbonate (NaHCO<sub>3</sub>, Sigma-Aldrich, USA), using a ratio of 1:2 of MS-222:Sodium bicarbonate to reduce fish stress. Once the anaesthetic took effect, fish were weighted (g, total weight, TW) on an analytical scale (EMS 300-3, Kern &amp; Sohn, Germany), measured (cm; total length, TL) and peripheral blood was collected from the caudal vein using heparinized syringes. A fraction of fish blood was used to perform haematological analyses, while the remaining blood was transferred into a microtube (1.5 mL) with 20 &#x3bc;L of heparin (3000 U mL<sup>-1</sup> in saline solution 0.9% NaCl, Sigma-Aldrich, USA), centrifuged at 10,000 &#xd7;g and 4&#xb0;C for 10 minutes (Fisher Scientific AccuSpin Micro 17R Centrifuge, Germany) to isolate plasma, and then stored at -80&#xb0;C until assayed for innate humoral parameters. The fish was subsequently dissected, and the spleen was collected, weighed and homogenized in ice-cold conditions with 1.0 mL of phosphate buffered saline pH 7.4 (PBS; 137 mM NaCl, 2.7 mM KCl, 10 mM Na<sub>2</sub>HPO<sub>4</sub>, 1.8 mM KH<sub>2</sub>PO<sub>4</sub>; reagents from Sigma-Aldrich, USA), using an Ultra-Turrax<sup>&#xae;</sup> device (T25 digital, Ika, Germany). Homogenates were centrifuged in 1.5 mL microtubes at 10,000 &#xd7;g and 4&#xb0;C for 10 min, and the supernatants were transferred to new microtubes, immediately frozen and kept at -80&#xb0;C until further analyses.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Fish growth and body condition indexes</title>
<p>According to <xref ref-type="bibr" rid="B68">Ricker (1975)</xref>, Fulton&#x2019;s condition index (K) was calculated directly from the biometric data to determine the condition of the fish:</p>
<disp-formula>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>K</mml:mi>
</mml:mstyle>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>T</mml:mi>
<mml:mi>W</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>g</mml:mi>
</mml:mstyle>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mrow>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>T</mml:mi>
</mml:mstyle>
<mml:msup>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>L</mml:mi>
</mml:mstyle>
<mml:mn>3</mml:mn>
</mml:msup>
<mml:mo>&#xa0;</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>c</mml:mi>
<mml:mi>m</mml:mi>
</mml:mstyle>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#xd7;</mml:mo>
<mml:mn mathvariant="bold">100</mml:mn>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where TW is the fish total weight (g), and TL is the total length (cm).</p>
<p>To determine the condition of the spleen and assess its relative size compared to the total body weight of the fish, the splenosomatic index (SSI) was calculated using the following equation:</p>
<disp-formula>
<mml:math display="block" id="M2">
<mml:mrow>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>S</mml:mi>
<mml:mi>S</mml:mi>
<mml:mi>I</mml:mi>
</mml:mstyle>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>S</mml:mi>
<mml:mi>p</mml:mi>
<mml:mi>l</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>n</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>w</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>g</mml:mi>
<mml:mi>h</mml:mi>
<mml:mi>t</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>g</mml:mi>
</mml:mstyle>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mrow>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>T</mml:mi>
<mml:mi>W</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>g</mml:mi>
</mml:mstyle>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#xd7;</mml:mo>
<mml:mn mathvariant="bold">100</mml:mn>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where TW is the fish total weight (g).</p>
<p>The weight gain rate (WGR) was calculated using the following formula:</p>
<disp-formula>
<mml:math display="block" id="M3">
<mml:mrow>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>W</mml:mi>
<mml:mi>G</mml:mi>
<mml:mi>R</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mo>%</mml:mo>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>F</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>n</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>l</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>b</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>d</mml:mi>
<mml:mi>y</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>w</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>g</mml:mi>
<mml:mi>h</mml:mi>
<mml:mi>t</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>g</mml:mi>
</mml:mstyle>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>I</mml:mi>
<mml:mi>n</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>t</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>l</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>b</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>d</mml:mi>
<mml:mi>y</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>w</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>g</mml:mi>
<mml:mi>h</mml:mi>
<mml:mi>t</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>g</mml:mi>
</mml:mstyle>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mrow>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>I</mml:mi>
<mml:mi>n</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>t</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>l</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>b</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>d</mml:mi>
<mml:mi>y</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>w</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>g</mml:mi>
<mml:mi>h</mml:mi>
<mml:mi>t</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>g</mml:mi>
</mml:mstyle>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#xd7;</mml:mo>
<mml:mn mathvariant="bold">100</mml:mn>
</mml:mrow>
</mml:math>
</disp-formula>
<p>The specific growth rate (SGR) was determined to describe the growth rate of fish, based on the natural logarithm of body weight, using the final body weight and the initial mean body weight and the number of days in the experiment:</p>
<disp-formula>
<mml:math display="block" id="M4">
<mml:mrow>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>S</mml:mi>
<mml:mi>G</mml:mi>
<mml:mi>R</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mo>%</mml:mo>
<mml:mo>&#xa0;</mml:mo>
<mml:mtext mathvariant="bold">da</mml:mtext>
<mml:msup>
<mml:mtext mathvariant="bold">y</mml:mtext>
<mml:mrow>
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</mml:mrow>
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</mml:mrow>
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<mml:mfrac>
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<mml:mi>b</mml:mi>
<mml:mi>o</mml:mi>
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<mml:mi>y</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>w</mml:mi>
<mml:mi>e</mml:mi>
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</mml:mstyle>
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</mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>l</mml:mi>
<mml:mi>n</mml:mi>
</mml:mstyle>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>I</mml:mi>
<mml:mi>n</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>t</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>a</mml:mi>
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</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>b</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>d</mml:mi>
<mml:mi>y</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>w</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>g</mml:mi>
<mml:mi>h</mml:mi>
<mml:mi>t</mml:mi>
</mml:mstyle>
</mml:mrow>
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</mml:mrow>
</mml:mrow>
<mml:mo stretchy="false">]</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mrow>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>D</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>y</mml:mi>
<mml:mi>s</mml:mi>
</mml:mstyle>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#xd7;</mml:mo>
<mml:mn mathvariant="bold">100</mml:mn>
</mml:mrow>
</mml:math>
</disp-formula>
<p>The survival ratio (SR) was calculated using the formula:</p>
<disp-formula>
<mml:math display="block" id="M5">
<mml:mrow>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>S</mml:mi>
<mml:mi>R</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mo>%</mml:mo>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>F</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>n</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>l</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>n</mml:mi>
<mml:mi>u</mml:mi>
<mml:mi>m</mml:mi>
<mml:mi>b</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>r</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>o</mml:mi>
<mml:mi>f</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>f</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>s</mml:mi>
<mml:mi>h</mml:mi>
</mml:mstyle>
</mml:mrow>
<mml:mrow>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>I</mml:mi>
<mml:mi>n</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>t</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>l</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>n</mml:mi>
<mml:mi>u</mml:mi>
<mml:mi>m</mml:mi>
<mml:mi>b</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>r</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>o</mml:mi>
<mml:mi>f</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>f</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>s</mml:mi>
<mml:mi>h</mml:mi>
</mml:mstyle>
</mml:mrow>
</mml:mfrac>
<mml:mo>&#xd7;</mml:mo>
<mml:mn mathvariant="bold">100</mml:mn>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Feed conversion ratio (FCR) was measured based on the amount of feed fed and the fish weight gain during a period, with lower FCR values indicating higher efficiency:</p>
<disp-formula>
<mml:math display="block" id="M6">
<mml:mrow>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>F</mml:mi>
<mml:mi>C</mml:mi>
<mml:mi>R</mml:mi>
</mml:mstyle>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>A</mml:mi>
<mml:mi>m</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>u</mml:mi>
<mml:mi>n</mml:mi>
<mml:mi>t</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>o</mml:mi>
<mml:mi>f</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>f</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>d</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>g</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>v</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>n</mml:mi>
</mml:mstyle>
</mml:mrow>
<mml:mrow>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>F</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>s</mml:mi>
<mml:mi>h</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>w</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>g</mml:mi>
<mml:mi>h</mml:mi>
<mml:mi>t</mml:mi>
</mml:mstyle>
<mml:mo>&#xa0;</mml:mo>
<mml:mstyle mathvariant="bold" mathsize="normal">
<mml:mi>g</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>n</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>d</mml:mi>
</mml:mstyle>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Haematological parameters</title>
<p>A fraction of the peripheral blood was used immediately after collection to perform the trypan blue exclusion test for cell viability (<xref ref-type="bibr" rid="B76">Strober, 2001</xref>).</p>
<p>Briefly, a 0.4% solution of trypan blue (Sigma-Aldrich, USA) was prepared in PBS pH 7.2 (137 mM NaCl, 2.7 mM KCl, 10 mM Na<sub>2</sub>HPO<sub>4</sub>, 1.8 mM KH<sub>2</sub>PO<sub>4</sub>; reagents from Sigma-Aldrich, USA) and then 500 &#xb5;L of diluted blood samples (1:50 in PBS) were added to 100 &#x3bc;L trypan blue in 1.5 mL microtubes. The mixed sample was incubated (&#x2248; 3 minutes), loaded on a Neubauer chamber (Improved Neubauer Hausser Bright-Line, USA) and analysed using an optical microscope (LEICA DM2500, Germany) (three observations per treatment; the average of the three measurements was used in statistical analysis).</p>
<p>Fish blood smears were also performed on precleaned glass microscopy slides (<italic>n</italic>= 3 individuals per treatment, i.e., one smear per individual; VWR, USA) by placing a drop of blood that was spread by capillarity. The smears were allowed to air-dry overnight at room temperature, and then fixed with methanol (95%) (Sigma-Aldrich, USA) for 15 s (<xref ref-type="bibr" rid="B37">Kaplow and Ladd, 1965</xref>). After 24 h, the fixed blood smears were stained with the ready-to-use Hemacolor staining reagent (Hemacolor&#xae; Rapid staining of blood smear, Sigma-Aldrich), according to manufacturer instructions and mounted with Entellan&#xae; (Sigma-Aldrich, USA) medium. Then, slides were examined using an optical microscope (LEICA DM2500, Germany) and a minimum of 500 cells per slide were examined. Normal blood cells (erythrocytes and leukocytes) and erythrocytes nuclear abnormalities (ENAs) were counted based on criteria outlined by <xref ref-type="bibr" rid="B8">Carrasco et&#xa0;al. (1990)</xref>.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Biochemical analyses</title>
<p>For biochemical biomarkers, all samples were analysed, at least, in triplicate, using 96-well microplates (Greiner Bio-one, Austria) and a Multiskan GO 1510 microplate reader (ThermoFisher Scientific, USA). All reagents and standards were of pro analysis (or superior) grade. The procedures are extensively described in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Materials</bold>
</xref> (see <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>).</p>
<sec id="s2_6_1">
<label>2.6.1</label>
<title>Innate humoral parameters</title>
<p>Plasma samples were used to assess the following humoral immunological parameters: antiprotease (AP) activity, peroxidase (POD) activity and immunoglobulin M (IgM).</p>
<sec id="s2_6_1_1">
<label>2.6.1.1</label>
<title>Antiprotease activity</title>
<p>Total antiprotease activity was determined following a method developed by <xref ref-type="bibr" rid="B16">Ellis (1990)</xref>, modified by <xref ref-type="bibr" rid="B31">Hanif et&#xa0;al. (2004)</xref>, with minor adaptations described in detail by <xref ref-type="bibr" rid="B18">Espinosa-Ruiz et&#xa0;al. (2021)</xref>. This approach is based on the ability of plasma antiproteases to inhibit trypsin activity. The absorbance was measured at 450 nm and the inhibitory capacity of antiprotease was expressed as percentage trypsin inhibition, using the positive control as described by <xref ref-type="bibr" rid="B86">Zuo and Woo (1997)</xref>.</p>
</sec>
<sec id="s2_6_1_2">
<label>2.6.1.2</label>
<title>Peroxidase activity</title>
<p>Peroxidase activity was assessed according to <xref ref-type="bibr" rid="B62">Quade and Roth (1997)</xref>, with minor modifications described in detail by <xref ref-type="bibr" rid="B18">Espinosa-Ruiz et&#xa0;al. (2021)</xref>. Peroxidase activity was determined by oxidation of 3,3&#x2032;,5,5&#x2032; -Tetramethylbenzidine (TMB), with the absorbance measured at 450 nm. Peroxidase activity (units mL<sup>-1</sup> plasma) was calculated by defining one unit of peroxidase as the amount required to produce an absorbance change of 1 OD (optical density).</p>
</sec>
<sec id="s2_6_1_3">
<label>2.6.1.3</label>
<title>Immunoglobulin M</title>
<p>Plasma immunoglobulin M was measured by an indirect Enzyme-Linked Immunosorbent Assay (ELISA) based on the protocol of <xref ref-type="bibr" rid="B12">Cuesta and Meseguer (2004)</xref>, with some modifications described in detail by <xref ref-type="bibr" rid="B18">Espinosa-Ruiz et&#xa0;al. (2021)</xref>. The absorbance was read at 450 nm and IgM concentrations (mg mL<sup>-1</sup>) were quantified based on a calibration curve ranging from 0 to 200 &#xb5;g mL<sup>-1</sup>, performed with a positive control standard (IgM from human serum, Sigma-Aldrich, USA). Negative controls consisted of samples with no plasma or without primary antibody, whose absorbance values were subtracted for each sample value.</p>
</sec>
</sec>
<sec id="s2_6_2">
<label>2.6.2</label>
<title>Oxidative stress</title>
<p>Spleen samples were used to determine oxidative stress biomarkers: lipid peroxidation (LPO), catalase (CAT) activity, glutathione S-transferase (GST) activity, superoxide dismutase (SOD) activity and total antioxidant capacity (T-AOC). Results (except for SOD, % inhibition) were normalized according to samples protein content (i.e., expressed in mg of total protein) determined through the <xref ref-type="bibr" rid="B5">Bradford (1976)</xref> method.</p>
<sec id="s2_6_2_1">
<label>2.6.2.1</label>
<title>Lipid peroxidation</title>
<p>Lipid peroxidation was determined using a 96-well microplates protocol adapted from the thiobarbituric acid reactive substances (TBARS) method of <xref ref-type="bibr" rid="B80">Uchiyama and Mihara (1978)</xref>. LPO was determined through the quantification of specific end-product of the lipid oxidative degradation process, i.e., malondialdehyde (MDA). MDA concentrations were quantified based on an eight-point calibration curve ranging from 0 to 0.3 mM TBARS, performed with malondialdehyde bis-(dimethyl acetal) standards (MDA; Merck, Germany). The absorbance was measured at 532 nm and the results were expressed in relation to total protein content, in nmol mg<sup>-1</sup> protein.</p>
</sec>
<sec id="s2_6_2_2">
<label>2.6.2.2</label>
<title>Catalase activity</title>
<p>Catalase activity (EC 1.11.1.6) was determined following the method of <xref ref-type="bibr" rid="B34">Johansson and Borg (1988)</xref>, adapted to 96-well microplates, as described by <xref ref-type="bibr" rid="B46">Maulvault et&#xa0;al. (2017)</xref>. A calibration curve was built using formaldehyde standards, with concentrations ranging from 0 to 75 &#x3bc;M of formaldehyde (Sigma-Aldrich, USA). Absorbance was measured at 540 nm and results were expressed in terms of total protein content (nmol min<sup>-1</sup> mg<sup>-1</sup> protein). The formaldehyde concentration of the samples was first calculated using the equation derived from the linear regression of the standard curve. Catalase activity was then calculated, considering that one unit of catalase is defined as the amount of enzyme that produces 1.0 nmol of formaldehyde per minute at 25&#xb0;C.</p>
</sec>
<sec id="s2_6_2_3">
<label>2.6.2.3</label>
<title>Glutathione S-transferase activity</title>
<p>Glutathione S-transferase activity (EC 2.5.1.18) was determined according to the method of <xref ref-type="bibr" rid="B30">Habig et&#xa0;al. (1974)</xref>, and adapted to 96-well microplates, described by <xref ref-type="bibr" rid="B46">Maulvault et&#xa0;al. (2017)</xref>. This method uses 1-Chloro-2,4-dinitrobenzene (CDNB; Sigma-Aldrich, Germany) as substrate and is based on the enzyme&#x2019;s ability to conjugate xenobiotics into less toxic conjugates, that is the conjugation of glutathione (GSH) thiol group with CDNB (1-chloro-2,4-dinitrobenzene) substrate. The formation of this conjugate is proportional to the increase of GST activity and is followed spectrophotometrically every minute. Absorbance was read at 340 nm every minute for 6 minutes and the results were expressed relative to the total protein content of the samples as nmol min<sup>-1</sup> mg<sup>-1</sup> protein.</p>
</sec>
<sec id="s2_6_2_4">
<label>2.6.2.4</label>
<title>Superoxide dismutase activity</title>
<p>Superoxide dismutase activity (EC 1.15.1.1) was determined following the methodology described by <xref ref-type="bibr" rid="B77">Sun et&#xa0;al. (1988)</xref>, adapted to 96-well microplates, and used by <xref ref-type="bibr" rid="B46">Maulvault et&#xa0;al. (2017)</xref>. This method uses Nitro Blue Tetrazolium (NBT) and Xanthine Oxidase (XOD) as substrate. The absorbance was recorded at 560 nm every minute for 5 min, and then read at 10 and 15 min. The results were presented as the percentage of enzyme inhibition.</p>
</sec>
<sec id="s2_6_2_5">
<label>2.6.2.5</label>
<title>Total antioxidant capacity</title>
<p>Total antioxidant capacity was determined according to the method described by <xref ref-type="bibr" rid="B35">Kambayashi et&#xa0;al. (2009)</xref>. T-AOC was calculated from a seven-point calibration curve, based on a series of Trolox standards, ranging from 0 to 0.33 mM, performed with (&#xb1;)-6-Hydroxy-2,5,7,8-tetramethylchromane-2-carboxylic acid (Trolox, Sigma-Aldrich, USA). The absorbance was measured at 410 nm and the results were expressed in relation to total protein content, in nmol mg<sup>-1</sup> protein.</p>
</sec>
</sec>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Data analysis</title>
<p>Significant differences between treatments in growth parameters, body condition indexes , haematology results and biomarker levels were assessed using a one-way nested-ANOVA analysis (with time, T30 and T60, nested in treatment). Data were Log transformed, whenever necessary, to comply with the assumptions of normality (Kolmogorov&#x2013;Smirnov&#x2019;s test) and homogeneity of variances (Levene&#x2019;s test) required for this analysis. Subsequently, the <italic>post-hoc</italic> Tukey HSD test was carried out to identify significant differences. Significant correlations between biomarker levels and animal condition indexes (K and SSI), as well as T-AOC and LPO between the other oxidative stress biomarkers (CAT, SOD and GST), were determined by means of Pearson&#x2019;s correlation analysis. Statistical analyses were performed at a significance level of 0.05, using STATISTICA&#x2122; software (Version 7.0, StatSoft Inc., USA).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Fish growth and body condition indexes</title>
<p>Growth performance and body condition indexes are presented in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>. Upon 30 and 60 days of feeding trial (T30 and T60), no significant differences were observed among treatments (<italic>p</italic> &gt; 0.05). As for the effect of feeding duration (i.e., T30 <italic>versus</italic> T60, for the same treatment), a significant increase in total weight (TW), total length (TL) and weight gain rate (WGR) parameters was observed in the control treatment (&#x2191;26.9% TW; &#x2191;7.6% TL; &#x2191;34.6% WGR) and in the treatments with 3% <italic>L. digitata</italic> (&#x2191;23.3% TW; &#x2191;8.0% TL; &#x2191;43.0% WGR) and 6% <italic>L. digitata</italic> (&#x2191;21.9% TW; &#x2191;6.8% TL; &#x2191;45.1% WGR).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Total length (TL; cm) and weight (TW; g), Fulton&#x2019;s condition index (K), splenosomatic index (SSI), weight gain rate (WGR), specific growth rate (SGR), survival ratio (SR) and feed conversion ratio (FCR) in <italic>Sparus aurata</italic> after 30 days (T30) and 60 days (T60) of feeding trial (mean &#xb1; SD; <italic>n</italic>=9).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center"/>
<th valign="middle" align="center">TL (cm)</th>
<th valign="middle" align="center">TW (g)</th>
<th valign="middle" align="center">K<sub>index</sub>
</th>
<th valign="middle" align="center">SSI<sub>index</sub>
</th>
<th valign="middle" align="center">WGR (%)</th>
<th valign="middle" align="center">SGR (% day<sup>-1</sup>)</th>
<th valign="middle" align="center">SR (%)</th>
<th valign="middle" align="center">FCR</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">
<bold>Control &#x2013; T30</bold>
</td>
<td valign="middle" align="center">9.52 &#xb1; 0.53<sup>d</sup>
</td>
<td valign="middle" align="center">12.67 &#xb1; 2.01<sup>c</sup>
</td>
<td valign="middle" align="center">1.46 &#xb1; 0.09</td>
<td valign="middle" align="center">0.19 &#xb1; 0.08</td>
<td valign="middle" align="center">65.49 &#xb1; 12.47<sup>bc</sup>
</td>
<td valign="middle" align="center">1.67 &#xb1; 0.25<sup>a</sup>
</td>
<td valign="middle" align="center">100</td>
<td valign="middle" align="center">0.95 &#xb1; 0.18<sup>b</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>Control &#x2013; T60</bold>
</td>
<td valign="middle" align="center">10.24 &#xb1; 0.33<sup>abc</sup>
</td>
<td valign="middle" align="center">16.08 &#xb1; 1.66<sup>ab</sup>
</td>
<td valign="middle" align="center">1.49 &#xb1; 0.09</td>
<td valign="middle" align="center">0.18 &#xb1; 0.06</td>
<td valign="middle" align="center">88.13 &#xb1; 13.36<sup>ab</sup>
</td>
<td valign="middle" align="center">1.05 &#xb1; 0.12<sup>b</sup>
</td>
<td valign="middle" align="center">100</td>
<td valign="middle" align="center">1.39 &#xb1; 0.19<sup>a</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>1.5% <italic>Laminaria digitata</italic> &#x2013; T30</bold>
</td>
<td valign="middle" align="center">9.79 &#xb1; 0.65<sup>bcd</sup>
</td>
<td valign="middle" align="center">13.82 &#xb1; 2.52<sup>abc</sup>
</td>
<td valign="middle" align="center">1.46 &#xb1; 0.11</td>
<td valign="middle" align="center">0.18 &#xb1; 0.09</td>
<td valign="middle" align="center">63.94 &#xb1; 14.87<sup>bc</sup>
</td>
<td valign="middle" align="center">1.64 &#xb1; 0.30<sup>a</sup>
</td>
<td valign="middle" align="center">100</td>
<td valign="middle" align="center">0.99 &#xb1; 0.24<sup>b</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>1.5% <italic>Laminaria digitata</italic> &#x2013; T60</bold>
</td>
<td valign="middle" align="center">9.87 &#xb1; 0.65<sup>bcd</sup>
</td>
<td valign="middle" align="center">14.28 &#xb1; 2.99<sup>abc</sup>
</td>
<td valign="middle" align="center">1.47 &#xb1; 0.10</td>
<td valign="middle" align="center">0.13 &#xb1; 0.06</td>
<td valign="middle" align="center">75.98 &#xb1; 15.85<sup>abc</sup>
</td>
<td valign="middle" align="center">0.94 &#xb1; 0.15<sup>b</sup>
</td>
<td valign="middle" align="center">100</td>
<td valign="middle" align="center">1.65 &#xb1; 0.40<sup>a</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>3% <italic>Laminaria digitata</italic> &#x2013; T30</bold>
</td>
<td valign="middle" align="center">9.56 &#xb1; 0.55<sup>cd</sup>
</td>
<td valign="middle" align="center">13.01 &#xb1; 2.24<sup>c</sup>
</td>
<td valign="middle" align="center">1.48 &#xb1; 0.06</td>
<td valign="middle" align="center">0.15 &#xb1; 0.10</td>
<td valign="middle" align="center">61.79 &#xb1; 18.99<sup>c</sup>
</td>
<td valign="middle" align="center">1.58 &#xb1; 0.39<sup>a</sup>
</td>
<td valign="middle" align="center">100</td>
<td valign="middle" align="center">1.06 &#xb1; 0.34<sup>b</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>3% <italic>Laminaria digitata</italic> &#x2013; T60</bold>
</td>
<td valign="middle" align="center">10.33 &#xb1; 0.51<sup>ab</sup>
</td>
<td valign="middle" align="center">16.04 &#xb1; 1.84<sup>ab</sup>
</td>
<td valign="middle" align="center">1.46 &#xb1; 0.12</td>
<td valign="middle" align="center">0.13 &#xb1; 0.05</td>
<td valign="middle" align="center">88.36 &#xb1; 16.26<sup>ab</sup>
</td>
<td valign="middle" align="center">1.05 &#xb1; 0.15<sup>b</sup>
</td>
<td valign="middle" align="center">100</td>
<td valign="middle" align="center">1.40 &#xb1; 0.28<sup>a</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>6% <italic>Laminaria digitata</italic> &#x2013; T30</bold>
</td>
<td valign="middle" align="center">9.88 &#xb1; 0.55<sup>bcd</sup>
</td>
<td valign="middle" align="center">13.66 &#xb1; 2.26<sup>bc</sup>
</td>
<td valign="middle" align="center">1.40 &#xb1; 0.07</td>
<td valign="middle" align="center">0.15 &#xb1; 0.06</td>
<td valign="middle" align="center">63.78 &#xb1; 14.05<sup>bc</sup>
</td>
<td valign="middle" align="center">1.63 &#xb1; 0.28<sup>a</sup>
</td>
<td valign="middle" align="center">100</td>
<td valign="middle" align="center">0.98 &#xb1; 0.21<sup>b</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>6% <italic>Laminaria digitata</italic> &#x2013; T60</bold>
</td>
<td valign="middle" align="center">10.56 &#xb1; 0.59<sup>a</sup>
</td>
<td valign="middle" align="center">16.65 &#xb1; 2.30<sup>a</sup>
</td>
<td valign="middle" align="center">1.41 &#xb1; 0.07</td>
<td valign="middle" align="center">0.13 &#xb1; 0.05</td>
<td valign="middle" align="center">92.55 &#xb1; 23.99<sup>a</sup>
</td>
<td valign="middle" align="center">1.08 &#xb1; 0.21<sup>b</sup>
</td>
<td valign="middle" align="center">100</td>
<td valign="middle" align="center">1.39 &#xb1; 0.45<sup>a</sup>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>In each column, different letters indicate significant differences (<italic>p</italic> &lt; 0.05) between treatments.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The specific growth rate (SGR) was significantly higher during the first 30 days of the feeding trial (<italic>p</italic> &lt; 0.05) in all treatments, while the feed conversion rate (FCR) was significantly lower (<italic>p </italic>&lt; 0.05; <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<p>Fulton&#x2019;s condition index (K), splenosomatic index (SSI) and survival ratio (SR) were not significantly affected by treatment or time (<italic>p</italic> &gt; 0.05; <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<p>A strong positive correlation was found between fish total weight and length (<italic>r</italic> = 0.941; <italic>p </italic>&lt; 0.001), yet no significant correlations were found between K and the splenosomatic index (SSI, <italic>r</italic> = 0.096; <italic>p</italic> &gt; 0.05; <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Pearson correlation coefficients (<italic>r</italic>) between animal growth, condition indexes and biomarker responses.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Treatments used in the analysis</th>
<th valign="middle" align="center">Variables</th>
<th valign="middle" align="center">
<italic>r</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="2" align="left">
<bold>All (T30+T60)</bold>
</td>
<td valign="middle" align="center">
<bold>TW x TL</bold>
</td>
<td valign="middle" align="center">0.941***</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>K x SSI</bold>
</td>
<td valign="middle" align="center">0.096</td>
</tr>
<tr>
<td valign="middle" rowspan="8" align="left">
<bold>All (T30+T60)</bold>
</td>
<td valign="middle" align="center">
<bold>K x CAT</bold>
</td>
<td valign="middle" align="center">-0.033</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>K x SOD</bold>
</td>
<td valign="middle" align="center">0.056</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>K x GST</bold>
</td>
<td valign="middle" align="center">-0.042</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>K x LPO</bold>
</td>
<td valign="middle" align="center">-0.158</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>K x T-AOC</bold>
</td>
<td valign="middle" align="center">-0.163</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>K x IgM</bold>
</td>
<td valign="middle" align="center">-0.030</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>K x AP</bold>
</td>
<td valign="middle" align="center">0.080</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>K x POD</bold>
</td>
<td valign="middle" align="center">-0.062</td>
</tr>
<tr>
<td valign="middle" rowspan="8" align="left">
<bold>All (T30+T60)</bold>
</td>
<td valign="middle" align="center">
<bold>SSI x CAT</bold>
</td>
<td valign="middle" align="center">-0.549**</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>SSI x SOD</bold>
</td>
<td valign="middle" align="center">0.393</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>SSI x GST</bold>
</td>
<td valign="middle" align="center">-0.498*</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>SSI x LPO</bold>
</td>
<td valign="middle" align="center">-0.275</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>SSI x T-AOC</bold>
</td>
<td valign="middle" align="center">-0.279</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>SSI x IgM</bold>
</td>
<td valign="middle" align="center">0.510*</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>SSI x AP</bold>
</td>
<td valign="middle" align="center">-0.184</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>SSI x POD</bold>
</td>
<td valign="middle" align="center">0.088</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">
<bold>All (T30+T60)</bold>
</td>
<td valign="middle" align="center">
<bold>T-AOC x CAT</bold>
</td>
<td valign="middle" align="center">0.934***</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>T-AOC x SOD</bold>
</td>
<td valign="middle" align="center">-0.079</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>T-AOC x GST</bold>
</td>
<td valign="middle" align="center">0.878***</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">
<bold>All (T30+T60)</bold>
</td>
<td valign="middle" align="center">
<bold>LPO x CAT</bold>
</td>
<td valign="middle" align="center">-0.638***</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>LPO x SOD</bold>
</td>
<td valign="middle" align="center">0.280</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>LPO x GST</bold>
</td>
<td valign="middle" align="center">-0.728***</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>In each column, asterisks indicate significant correlations between variables (* <italic>p</italic> &lt; 0.05; ** <italic>p</italic> &lt; 0.01; *** <italic>p </italic>&lt; 0.001). TW, total weight; TL, total length; K, Fulton&#x2019;s condition index; SSI, splenosomatic index; CAT, catalase activity; SOD, superoxide dismutase activity; GST, glutathione S-transferase activity; LPO, lipid peroxidation; T-AOC, total antioxidant capacity; IgM, Immunoglobulin M; AP, antiprotease activity; POD, peroxidase activity.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Haematological profile</title>
<p>The haematological profile was evaluated in juvenile <italic>Sparus aurata</italic> fed for 30 and 60 days with aquafeeds supplemented with different levels of <italic>L. digitata</italic>. The results indicated that the experimental diets did not significantly affect the percentages of erythrocytes, leucocytes, viable erythrocytes, and ENAs at both T30 and T60 sampling dates (see <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>; <italic>p</italic> &gt; 0.05).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Percentage of erythrocytes and leukocytes in relation to total cell counts, as well as percentage of viable erythrocytes and erythrocytes nuclear abnormalities (ENAs) in relation to total erythrocyte counts (mean &#xb1; SD; <italic>n</italic>=3). .</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left"/>
<th valign="middle" align="center">Erythrocytes<break/>(%)</th>
<th valign="middle" align="center">Leucocytes<break/>(%)</th>
<th valign="middle" align="center">Viable<break/>Erythrocytes<break/>(%)</th>
<th valign="middle" align="center">ENAs<break/>(%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">
<bold>Control &#x2013; T30</bold>
</td>
<td valign="middle" align="center">97.9 &#xb1; 1.2</td>
<td valign="middle" align="center">2.1 &#xb1; 1.2</td>
<td valign="middle" align="center">97.6 &#xb1; 0.8</td>
<td valign="middle" align="center">2.6 &#xb1; 1.0</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>Control &#x2013; T60</bold>
</td>
<td valign="middle" align="center">97.6 &#xb1; 0.8</td>
<td valign="middle" align="center">2.4 &#xb1; 0.8</td>
<td valign="middle" align="center">96.8 &#xb1; 0.1</td>
<td valign="middle" align="center">3.0 &#xb1; 0.8</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>1.5% <italic>Laminaria digitata</italic> &#x2013; T30</bold>
</td>
<td valign="middle" align="center">96.8 &#xb1; 1.1</td>
<td valign="middle" align="center">3.2 &#xb1; 1.1</td>
<td valign="middle" align="center">96.4 &#xb1; 0.8</td>
<td valign="middle" align="center">3.2 &#xb1; 0.5</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>1.5% <italic>Laminaria digitata</italic> &#x2013; T60</bold>
</td>
<td valign="middle" align="center">98.7 &#xb1; 0.7</td>
<td valign="middle" align="center">1.3 &#xb1; 0.7</td>
<td valign="middle" align="center">97.0 &#xb1; 0.7</td>
<td valign="middle" align="center">3.0 &#xb1; 0.8</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>3% <italic>Laminaria digitata</italic> &#x2013; T30</bold>
</td>
<td valign="middle" align="center">96.3 &#xb1; 0.3</td>
<td valign="middle" align="center">3.7 &#xb1; 0.3</td>
<td valign="middle" align="center">96.9 &#xb1; 0.9</td>
<td valign="middle" align="center">3.4 &#xb1; 1.2</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>3% <italic>Laminaria digitata</italic> &#x2013; T60</bold>
</td>
<td valign="middle" align="center">97.1 &#xb1; 2.5</td>
<td valign="middle" align="center">2.9 &#xb1; 2.5</td>
<td valign="middle" align="center">96.1 &#xb1; 1.7</td>
<td valign="middle" align="center">2.5 &#xb1; 0.5</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>6% <italic>Laminaria digitata</italic> &#x2013; T30</bold>
</td>
<td valign="middle" align="center">96.0 &#xb1; 3.2</td>
<td valign="middle" align="center">4.0 &#xb1; 3.2</td>
<td valign="middle" align="center">96.6 &#xb1; 0.8</td>
<td valign="middle" align="center">3.2 &#xb1; 0.8</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>6% <italic>Laminaria digitata</italic> &#x2013; T60</bold>
</td>
<td valign="middle" align="center">98.7 &#xb1; 0.2</td>
<td valign="middle" align="center">1.3 &#xb1; 0.2</td>
<td valign="middle" align="center">97.6 &#xb1; 1.8</td>
<td valign="middle" align="center">4.3 &#xb1; 0.5</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>No significant differences (<italic>p</italic> &gt; 0.05) were found between treatments.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Leucocyte percentages across the different treatments consistently remained below 4.0% of the total cell counts, whereas the erythrocyte percentages were consistently high, accounting for over 96.0% of total cells (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Moreover, out of these erythrocytes, more than 96.1% were considered viable, and the occurrence of nuclear abnormalities was minimal, with percentages ranging between 2.5 and 4.3% (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>).</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Immune humoral parameters</title>
<p>Fish immune humoral responses upon 30 and 60 days of feeding trial are presented in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>. The duration of feeding (30 or 60 days) had no significant impact on the immune parameters of fish fed with the control feed (<italic>p</italic> &gt; 0.05), indicating that the immune response of the control treatment remained consistent regardless of the feeding duration. The same trend was observed in fish fed with the experimental feeds containing 3% (3-LD) and 6% (6-LD) of <italic>L. digitata</italic>. However, fish fed with the feed containing 1.5% of macroalga (1.5-LD) exhibited a different pattern, i.e., a reduction in IgM content (&#x2193;35%; <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>) and POD activity (&#x2193;41%; <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>) between 30 and 60 days. Nevertheless, the IgM content and POD activity were significantly higher in fish fed with 1.5% of <italic>L. digitata</italic> (1.5-LD) compared to the remaining treatments. In terms of IgM, the 3-LD and 6-LD feeds did not differ significantly from the CTR, while for POD, the 3-LD feed was significantly higher than the CTR, but lower than the 1.5-LD treatment. Notably, antiprotease activity did not show significant differences between the experimental feeds with <italic>L. digitata</italic> inclusion and the respective commercial feed, with only a slight difference observed between 6-LD-T30 and 1.5-LD-T60 (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Plasma immune parameters of gilthead seabream juveniles after 30 and 60 days of feeding trial: immunoglobulin M (<bold>A</bold>, mg mL<sup>-1</sup>), antiprotease activity (<bold>B</bold>, expressed in terms of % trypsin inhibition) and peroxidase activity (<bold>C</bold>, U mL<sup>-1</sup>) (mean &#xb1; SD; <italic>n</italic>=6). Different lowercase letters indicate significant differences between dietary treatments in both sampling dates (<italic>p </italic>&lt; 0.05). CTR, control treatment; 1.5-LD, feed with 1.5% inclusion of <italic>L. digitata</italic>; 3-LD, feed with 3% inclusion of <italic>L. digitata</italic>; 6-LD, feed with 6% inclusion of <italic>L. digitata</italic>; IgM, immunoglobulin M; POD, peroxidase.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1325244-g002.tif"/>
</fig>
<p>No significant correlations were found between K and the immune humoral parameters (IgM, AP, and POD; <italic>p</italic> &gt; 0.05; <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). However, there was a positive and significant correlation between SSI and IgM (<italic>r</italic> = 0.510 and <italic>p </italic>&lt; 0.05; <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Oxidative stress biomarkers</title>
<p>Fish antioxidant responses upon 30 and 60 days of feeding trial are presented in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>. The analysed biomarkers (LPO, CAT, GST, SOD, and T-AOC) showed no significant differences between CTR-T30 and CTR-T60, indicating that the duration of the experiment (30 or 60 days) had no impact on the oxidative stress response of animals from the control treatment. An identical trend was observed in the remain treatments, except in fish supplemented with 1.5% of <italic>L. digitata</italic> (1.5-LD), where a slight reduction in the activity of CAT (&#x2193;24%; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>) and T-AOC (&#x2193;24%; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3E</bold>
</xref>) was observed between 30 and 60 days. Regarding the effects of treatments, all feeds with <italic>L. digitata</italic> inclusion showed higher CAT activity than the CTR treatment, i.e., a 6.8-fold, 2.1-fold and 2.5-fold increase at T30, and 9.3-fold, 3.5-fold and 5.5-fold increase at T60, in 1.5-LD, 3-LD and 6-LD treatments, respectively (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). In the case of T-AOC, only fish fed with 1.5% and 6% of <italic>L. digitata</italic> showed a significant increase in relation to the CTR treatment (~3.0-fold in 1.5-LD and 1.8-fold in 6-LD treatments) regardless of trial duration (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3E</bold>
</xref>). Regarding LPO, only fish fed with 1.5% macroalga revealed significant differences from the CTR treatment (~0.7-fold decrease at T30 and T60; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). GST had the highest activity in treatment 1.5-LD, with a 4.8-fold increase over the CTR treatment at T30 and 11.6-fold increase at T60 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>). Fish fed with 6% of <italic>L. digitata</italic> also differed from those of the CTR treatment, but to a lower extent, revealing a 2.1-fold increase at T30 and 6.0-fold increase at T60 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>). GST levels in fish from treatment 3-LD also significantly differed from those of CTR fish at T60, evidencing a 3.2-fold increase (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>). SOD activity did not differ significantly between treatments or feeding durations (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3D</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Oxidative stress biomarkers in the spleen of gilthead seabream juveniles after 30 and 60 days of feeding trial: lipid peroxidation (<bold>A</bold>, expressed as MDA concentration, nmol mg<sup>-1</sup> protein), catalase activity (<bold>B</bold>, nmol min<sup>-1</sup> mg<sup>-1</sup> protein), glutathione S-transferase activity (<bold>C</bold>, nmol min<sup>-1</sup> mg<sup>-1</sup> protein), superoxide dismutase activity (<bold>D</bold>, % inhibition) and total antioxidant capacity (<bold>E</bold>, nmol mg<sup>-1</sup> protein) (mean &#xb1; SD; <italic>n</italic>=6). Different lowercase letters indicate significant differences between dietary treatments in both sampling dates (<italic>p</italic> &lt; 0.05). CTR, control treatment; 1.5-LD, feed with 1.5% inclusion of <italic>L. digitata</italic>; 3-LD, feed with 3% inclusion of <italic>L. digitata</italic>; 6-LD, feed with 6% inclusion of <italic>L. digitata</italic>; MDA, malondialdehyde; CAT, catalase; GST, glutathione S-transferase; SOD, superoxide dismutase; T-AOC, total antioxidant capacity.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1325244-g003.tif"/>
</fig>
<p>No significant correlations were found between K and oxidative stress biomarkers (CAT, SOD, GST, LPO and T-AOC) (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). However, SSI was significantly and negatively correlated with CAT (<italic>r</italic> = -0.549 and <italic>p</italic> &lt; 0.01) and GST (<italic>r</italic> = -0.498 and <italic>p</italic>&lt; 0.05) (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). CAT and GST activities showed a very strong positive correlation with T-AOC (<italic>r</italic> = 0.934 and <italic>p</italic> &lt; 0.001, and <italic>r</italic> = 0.878 and <italic>p &lt;</italic> 0.001, respectively), as well as a significant negative correlation with LPO levels (<italic>r</italic> = -0.638 and <italic>p</italic> &lt; 0.001, and <italic>r</italic> = -0.728 and <italic>p </italic>&lt; 0.001, respectively; <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>The incorporation of novel and sustainably produced ingredients in aquafeed formulations has become one of the focal points in modern aquaculture research (<xref ref-type="bibr" rid="B21">FAO, 2022</xref>). Among these promising alternatives, macroalgae have emerged as noteworthy candidates, acquiring significant attention as potential feed ingredients to improve fish health due to their anti-inflammatory, antioxidant, and antimicrobial properties (<xref ref-type="bibr" rid="B50">Morais et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B74">Silva et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B6">Cai et&#xa0;al., 2021</xref>).</p>
<p>In the present study, we explored the effects of incorporating a brown macroalga, <italic>Laminaria digitata</italic>, as a functional ingredient in aquafeeds to bolster immunity and antioxidant responses in juvenile <italic>Sparus aurata</italic>. The results herein presented suggest that, overall, the inclusion of this seaweed in aquafeeds yields a positive effect on fish health.</p>
<p>Animal condition indexes serve as key indicators of the overall welfare, which is shaped by a complex interaction of factors such as feeding conditions, parasitic infections, physiological aspects, as well as physical and biological environment (<xref ref-type="bibr" rid="B40">Le Cren, 1951</xref>). Animals that remain in good condition are more likely to possess a robust and effective immune system, capable of defending themselves against pathogens and maintaining overall well-being (<xref ref-type="bibr" rid="B85">Zaccone, 2009</xref>). In our study, as the factor under analysis was the type of diet, we can state that the inclusion of <italic>L. digitata</italic> in the aquafeed formulation at the tested levels (1.5%, 3%, and 6%) did not compromise fish welfare. In other words, despite the differences observed throughout time, which are most likely related with the expected fish growth, animal condition (assessed through K and SSI indexes) remained consistently stable across all treatments. The maintenance of a consistent and appropriate (i.e., high K, WGR and SGR values) growth across all treatments suggests that the dietary inclusion of <italic>L. digitata</italic> did not hinder nutrient utilization or led to any adverse effects on the <italic>S. aurata</italic>&#x2019;s metabolism, indicating that the seaweed was efficiently digested and its nutrients available to the fish. The fact that the FCR was consistently lower during the first 30 days of feeding trial shows that the fish were able to grow with a relatively lower amount of feed during this period, indicating a higher efficiency in converting feed into growth. Furthermore, this was also reflected in higher SGR values. The results of this study align with previous research that has demonstrated the potential of several species of brown macroalgae as a valuable eco-innovative aquafeed ingredient to enhance fish health and growth (<xref ref-type="bibr" rid="B59">Pham et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B66">Ribeiro et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B36">Kamunde et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B73">Shi et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B51">Negm et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B43">Maghawri et&#xa0;al., 2023</xref>).</p>
<p>The haematological profile evaluation of <italic>S. aurata</italic> indicated that the experimental feeds supplemented with <italic>L. digitata</italic> did not affect the type and number of blood cells produced by juvenile fish. In addition, the absence of significant alterations in the number of viable erythrocytes and/or erythrocyte nuclear abnormalities (ENAs) indicates that aquafeeds biofortified with <italic>L. digitata</italic> up to 6% did not have cytotoxic and/or genotoxic potential, a result also aligned with the high K values observed in all treatments. The consistent leucocyte percentages below 4.0% of the total cell counts across all treatments indicate that there were no signs of inflammation or acute immune responses in the fish. Leucocytes play a crucial role in the fish&#x2019;s immune response. They are responsible for identifying and fighting off pathogens, such as bacteria and viruses, and play a role in inflammatory responses (<xref ref-type="bibr" rid="B15">Ellis, 1977</xref>; <xref ref-type="bibr" rid="B19">F&#xe1;nge, 1992</xref>). An increase in leucocyte percentages could be an indication of an active immune response, usually in response to an infection, inflammation, or a stressful condition (<xref ref-type="bibr" rid="B72">Seibel et&#xa0;al., 2021</xref>). In the context of the present study, the low leucocyte percentages suggest that the fish&#x2019;s immune system remained stable and indicate the absence of exposure to infectious agents or other stressors that could trigger an immune response. Furthermore, the high erythrocyte percentages observed in all treatments, accounting for over 96.0% of total cells, strongly suggest that the fish had a stable and efficient oxygen-carrying capacity, which is essential for overall metabolic activities (<xref ref-type="bibr" rid="B52">Nikinmaa et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B17">Esmaeili, 2021</xref>). Additionally, the finding that more than 96.1% of erythrocytes were viable, with a minimal percentage of nuclear abnormalities, indicates that the fish were in good haematological health and well-adapted to the experimental conditions (<xref ref-type="bibr" rid="B83">Witeska et&#xa0;al., 2022</xref>). The findings from our study are consistent with those of <xref ref-type="bibr" rid="B55">Passos et&#xa0;al. (2021)</xref>, who explored the effects of diets supplemented with <italic>Gracilaria gracilis</italic> in <italic>Sparus aurata</italic> and found no significant differences in erythrocyte and leukocyte counts between the supplemented feeds and the control treatment. However, other studies have shown contrasting results, highlighting the significant impact of seaweed supplementation in aquafeeds on the haematological profile of fish. For example, <xref ref-type="bibr" rid="B43">Maghawri et&#xa0;al. (2023)</xref> incorporated brown algae <italic>Padina pavonica</italic> as a dietary supplement in <italic>Oreochromis niloticus</italic>, while <xref ref-type="bibr" rid="B63">Quezada-Rodr&#xed;guez and Fajer-&#xc1;vila (2016)</xref> utilized extracts from the green alga <italic>Ulva clathrata</italic> for the same fish species. Additionally, <xref ref-type="bibr" rid="B70">Sattanathan et&#xa0;al. (2020)</xref> investigated the effects of dietary inclusion of <italic>Chaetomorpha aerea</italic> (Chlorophyta) in <italic>Labeo rohita</italic> against post-challenges of <italic>Aeromon</italic>as <italic>hydrophila</italic>, and all these three studies observed an increase in the percentage of erythrocytes and leucocytes compared to the control. Their findings suggest a protective response during times of stress, as dietary changes may trigger physiological responses, activating the immune system as a precautionary measure to maintain homeostasis and defend against potential stressors or pathogenic challenges associated with the new feeds. However, given the complexity of dietary interactions and the variability in outcomes observed across different fish species, types of seaweed, and experimental conditions, further research is needed to fully elucidate the underlying mechanisms responsible for these effects.</p>
<p>The analysis of immune humoral parameters (IgM, AP, and POD) among the different dietary treatments provided valuable insights into the potential immunomodulatory effects of <italic>L. digitata</italic> in <italic>S. aurata</italic> juveniles. Immunoglobulin M (IgM) is an essential antibody involved in both adaptive and innate immune responses, which recognises and neutralises invading pathogens, thereby enhancing fish ability to combat infections (<xref ref-type="bibr" rid="B45">Mashoof and Criscitiello, 2016</xref>). Additionally, POD are enzymes with an important microbicidal role, effectively utilizing hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) as a co-substrate to generate highly reactive species. These reactive species play a vital role in phagocytic activities, as they are responsible for damaging and killing pathogens and microbial invaders (<xref ref-type="bibr" rid="B38">Koeth et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B28">Guardiola et&#xa0;al., 2014</xref>). Meanwhile, AP plays a crucial role in neutralizing pathogen proteases by utilizing various protease inhibitors such as &#x3b1;1-antitrypsin (AAT) and &#x3b1;2-macroglobulin (&#x3b1;2M), which possess anti-enzyme activity. By controlling the activity of proteases, AP helps to maintain tissue integrity, preventing excessive tissue damage, and ensuring effective immune processes without harming surrounding tissues (<xref ref-type="bibr" rid="B60">Priyadarshini et&#xa0;al., 2017</xref>). Together, these three immune components contribute significantly to the fish&#x2019;s defence against infections, promoting overall health and well-being.</p>
<p>In our study, a remarkable increase in IgM content and POD activity was observed in the fish that consumed the feed containing 1.5% <italic>L. digitata</italic> (1.5-LD). These results suggest that the inclusion of 1.5% <italic>L. digitata</italic> in the feed positively influenced the fish&#x2019;s immune responses, enhancing their ability to combat pathogens and strengthening their immune defence mechanisms. Our findings are in line with previous studies that have established immunomodulatory roles of various macroalgae components, their impact on immunity parameters, and their contribution to maintaining overall health in different species (<xref ref-type="bibr" rid="B57">Peixoto et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B33">Hoseinifar et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B73">Shi et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B51">Negm et&#xa0;al., 2021</xref>). The inclusion of 3% <italic>L. digitata</italic> in aquafeeds only showed a significant increase in POD activity compared to the control, although with lower values than the 1.5-LD treatment. This suggests that a 3% inclusion of <italic>L. digitata</italic> also potentially contributed to an improved defence against pathogens, but never exceeding the effect observed with the 1.5-LD treatment. Conversely, the absence of significant differences in immune parameters (IgM, AP and POD) between the fish fed with 6% of <italic>L. digitata</italic> and those fed with a non-biofortified aquafeed (CTR treatment) indicates that macroalga inclusion levels above 3% do not lead to immunomodulatory improvements in juvenile <italic>S. aurata</italic>. These specific results contrast with those of <xref ref-type="bibr" rid="B24">Ferreira et&#xa0;al. (2022a)</xref>, who observed a more pronounced immune response, in a dose-dependent manner, when using a blend of microalgae (<italic>Nannochloropsis oceanica</italic> - Eustigmatophyceae and <italic>Chlorella vulgaris</italic> - Chlorophyta) and macroalgae (<italic>Gracilaria gracilis</italic> - Rhodophyta and <italic>Ulva rigida</italic> - Chlorophyta) in European seabass (<italic>Dicentrarchus labrax</italic>). Some potential explanations for our observation include:</p>
<list list-type="simple">
<list-item>
<p>i) Dose-response relationship: The immune response may follow a dose-response relationship, where the effects are proportional to the dose or concentration of <italic>L. digitata</italic>. Fish immune response may reach a saturation point or threshold beyond which further immunomodulatory benefits are not achieved. This means that the immunomodulatory effects were already maximized at the 1.5% inclusion of <italic>L. digitata</italic>, and increasing the percentage of algae inclusion will not result in additional significant improvements in the immune responses;</p>
</list-item>
<list-item>
<p>ii) Antagonistic effect: It is possible that higher levels of <italic>L. digitata</italic> may negatively interfere with the immune response, possibly due to the presence of other compounds in the seaweed that can negatively affect fish immune function or result in other adverse physiological effects. For instance, brown seaweeds in general, and <italic>L. digitata</italic> in particular, are known to bioaccumulate high levels of metals (e.g., cadmium (Cd) and copper (Cu)) and other chemical contaminants (e.g., iodine (I) and inorganic arsenic (iAs) (<xref ref-type="bibr" rid="B47">Maulvault et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B64">Ratcliff et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B1">Anacleto et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B69">Ronan et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B2">Barbosa et&#xa0;al., 2020</xref>), with toxicological attributes to both humans and animals when exposure occurs beyond tolerable levels (<xref ref-type="bibr" rid="B39">Laverock et&#xa0;al., 1995</xref>; <xref ref-type="bibr" rid="B27">Garai et&#xa0;al., 2021</xref>). Hence, the less beneficial outcomes observed at higher inclusion percentages of <italic>L. digitata</italic> may be related to an increased presence of compounds with potentially negative effects (e.g., toxic metals) that, when present above certain concentrations, may play an antagonistic role upon those with positive immunostimulant and antioxidant properties (e.g., phenolic compounds, polysaccharides, and carotenoids). Considering that the present data, by itself, only allows for speculations (i.e., there is no information on the levels of potentially bioactive or toxic compounds in the experimental aquafeeds used in the trial), future studies should undertake a broad biochemical characterization and identification of relevant compounds in raw materials (i.e., dried macroalgae) that may be used as alternative ingredients in aquafeeds.</p>
</list-item>
</list>
<p>Regarding AP activity, overall, the inclusion of <italic>L. digitata</italic> in the feeds did not have a significant impact on the regulation of proteases activity in juvenile fish. Hence, the results obtained in this specific biomarker contrast somewhat the trends observed in the other studied immunity parameters and, thus, do not clearly point out to a lower or higher susceptibility to disease in fish biofortified with <italic>L. digitata</italic>. Yet, considering that the main role of these enzymes is to neutralize proteases produced by bacteria, viruses, fungi and protozoans, future studies focused on exploring the immunostimulatory potential of <italic>L. digitata</italic> should, perhaps, include pathogen challenge tests in the experimental design, as such an approach would likely yield more evident responses.</p>
<p>Another notable finding is that, between T30 and T60, immune parameters were stable in CTR, 3-LD, and 6-LD treatments, but a decrease in IgM content and POD activity was observed in the 1.5-LD treatment. This significant decrease is an intriguing finding that warrants further investigation, since several possible explanations exist for this pattern. An adaptive response of the <italic>S. aurata</italic> immune system to continuous feeding of diets containing <italic>L. digitata</italic> is one possibility. Initially, the inclusion of macroalga may have stimulated a more robust immune response; however, over time, the immune system may have adapted to the constant presence of the dietary component, leading to a reduction in IgM content and POD activity. Another potential influencing factor could have been changes in diet composition during the experimental period, as it is well-established that some ingredients, including bioactive compounds and nutrients, can undergo degradation or loss over time (<xref ref-type="bibr" rid="B26">Filipe et&#xa0;al., 2023</xref>). Therefore, it is premature to conclude that 30 days is inherently better than 60 days based only on this finding. To draw robust conclusions, further investigations are needed to explore the underlying mechanisms and the long-term effects of <italic>L. digitata</italic> inclusion on the immune response of juvenile <italic>S. aurata</italic>.</p>
<p>The interaction between the immune response and its antioxidant defence mechanisms is crucial for maintaining a healthy and functional immune system in fish. Spleen is the major secondary lymphoid organ in fish, thus, hosting a wide range of immunological (including the filtration of blood-borne pathogens and antigens), hematopoietic and red blood cell clearance mechanisms (<xref ref-type="bibr" rid="B42">Lewis et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B49">Mokhtar et&#xa0;al., 2023</xref>). Additionally, oxidative stress biomarkers are important indicators of physiological status and overall condition at the organ and whole-body levels.</p>
<p>In the present study, the activity of three antioxidant enzymes, namely superoxide dismutase (SOD), catalase (CAT), and glutathione S-transferase (GST), along with two essential antioxidant parameters, total antioxidant capacity (T-AOC) and lipid peroxidation (LPO), were assessed in fish spleen. These antioxidant enzymes play a major role in antioxidant mechanisms, protecting the cells from oxidative damage: SOD is the first line of defence against reactive oxygen species (ROS), catalysing the conversion of superoxide radicals (O<sub>2</sub>
<sup>-</sup>) into hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) and oxygen (O<sub>2</sub>) (<xref ref-type="bibr" rid="B41">Lesser, 2006</xref>); then, CAT is responsible to neutralize hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) into less harmful compounds, namely water (H<sub>2</sub>O) and oxygen (O<sub>2</sub>) (<xref ref-type="bibr" rid="B41">Lesser, 2006</xref>); and GST catalyse the conjugation of glutathione (GSH) with several toxic compounds, including ROS that escape from the first line of defence (<xref ref-type="bibr" rid="B14">Domingues et&#xa0;al., 2010</xref>). This mechanism makes the conjugation products less toxic and more water-soluble, facilitating their excretion. LPO and T-AOC are also essential indicators of antioxidant responses, since LPO represents a complex chain reaction causing cellular damage through oxidative degradation of lipids (<xref ref-type="bibr" rid="B29">Gutteridge and Halliwell, 1990</xref>), while T-AOC reflects the organism&#x2019;s overall ability to combat oxidative stress and neutralize ROS (<xref ref-type="bibr" rid="B75">Silvestrini et&#xa0;al., 2023</xref>).</p>
<p>In our study, the feed with 1.5% inclusion of <italic>L. digitata</italic> (1.5-LD) also emerged as the most effective in promoting antioxidant responses in juvenile <italic>S. aurata</italic>. The increase in CAT and GST activities, as well as T-AOC, alongside the corresponding decrease in LPO levels observed in 1.5-LD treatment indicates that <italic>L. digitata</italic> had a considerable impact on fish antioxidant defence mechanisms. Our results are consistent with previous studies reporting that seaweed supplementation modulates antioxidant status and oxidative stress in fish (<xref ref-type="bibr" rid="B36">Kamunde et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B73">Shi et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B51">Negm et&#xa0;al., 2021</xref>). The abundant presence of bioactive compounds in <italic>L. digitata</italic> provides a plausible explanation for the increased activity of antioxidant enzymes, since it is already known that this macroalga is rich in polyphenols (phenolic acids, phlorotannins, flavonoids, and halogenated derivatives), carotenoids (e.g., fucoxanthin and &#x3b2;-carotene) and polysaccharides (e.g., alginates, fucoidan, laminarin and mannitol) (<xref ref-type="bibr" rid="B32">Holdt and Kraan, 2011</xref>; <xref ref-type="bibr" rid="B71">Schiener et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B4">Bonfim-Mendonca et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B82">Vissers et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B23">Fernando et&#xa0;al., 2021</xref>). These compounds have demonstrated their remarkable ability to neutralize free radicals and reduce oxidative stress within cells, thus displaying antioxidant and anti-inflammatory properties. When incorporated into the fish diet, these antioxidants may have increased the activity of CAT and GST enzymes and raised the organism&#x2019;s total antioxidant capacity (T-AOC). Consequently, this increased cellular protection against oxidative damage led to a decrease in LPO levels.</p>
<p>The inclusion of 3% and 6% of <italic>L. digitata</italic> also increased CAT activity (both percentages of inclusion), GST activity and T-AOC (only 6%). However, the magnitude of the increase in these biomarker activities was consistently lower for the higher inclusion levels of <italic>L. digitata</italic>. This pattern aligns with the findings observed in the immune responses (IgM and POD), indicating that increasing the macroalga concentration in the feeds does not add any benefit from the immune, antioxidant and overall animal condition points of view.</p>
<p>SOD activity showed no significant differences between the experimental feeds and the CTR treatment, meaning that the inclusion of <italic>L. digitata</italic> in the feeds did not have a substantial impact on this enzyme. This observation highlights the complexity of the fish&#x2019;s antioxidant response, which involves multiple enzymes and pathways working in harmony to maintain redox balance and protect against oxidative stress.</p>
<p>In line with the pattern observed in IgM content and POD activity (immune responses), CAT activity and T-AOC showed a decrease between 30 and 60 days with the 1.5-LD feed. This decrease can be explained, once again, by the adaptation of the organism to the functional feed, as the fish adjusted to the new diet, leading to reduced antioxidant response needs. Alternatively, the effects of <italic>L. digitata</italic> bioactive compounds on CAT activity and T-AOC might be more pronounced at fish early life stages, decreasing over time due to metabolism or other regulatory mechanisms. This decrease may indicate that the fish&#x2019;s redox balance has been achieved and maintained at a healthy level after the initial adaptation phase, suggesting that the antioxidants provided by the 1.5% <italic>L. digitata</italic> feed are sufficient to preserve redox homeostasis and protect cells against oxidative damage. Additionally, genetic regulation can also play a role in stabilizing antioxidant enzyme activity over time, ensuring overall antioxidant response homeostasis and adaptability to dietary changes for maintaining cellular health (<xref ref-type="bibr" rid="B44">Martin and Kr&#xf3;l, 2017</xref>; <xref ref-type="bibr" rid="B48">Mierziak et&#xa0;al., 2021</xref>).</p>
<p>The immune and antioxidant responses in organisms are highly complex and influenced by a wide array of factors. These factors include various aspects, such as diet composition, prevailing environmental conditions, exposure to pathogens, physiological changes, among others. Although this study focused specifically on <italic>S. aurata</italic> under optimal experimental conditions, it is essential to recognize that different fish species or varying environmental factors could yield different responses to the inclusion of <italic>L. digitata</italic> in aquafeeds.</p>
<p>The valuable findings from this study constitute a substantial contribution to the scientific understanding of fish health and underscore the potential utilization of <italic>L. digitata</italic> as a functional alternative feed ingredient in aquaculture. Further research on the interactions between dietary components, fish physiology, and immune-antioxidant responses will undoubtedly open new windows of opportunity in fish nutrition, contributing to improve animal welfare, quality and resilience to environmental stressors (e.g. pathogens, pollutants, climate change) that may challenge the survival of farmed animals and the economic viability of the sector.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>This study highlights the promising potential of <italic>Laminaria digitata</italic> as a functional and eco-innovative aquafeed ingredient to improve immunity and antioxidant responses in juvenile <italic>Sparus aurata</italic>.</p>
<p>The results indicate that a dietary inclusion of 1.5% <italic>L. digitata</italic> is the most cost-effective inclusion percentage, significantly improving the antioxidant responses of <italic>S. aurata</italic>, through increased levels of CAT, GST and T-AOC, as well as reduced LPO levels. Additionally, the inclusion of 1.5% <italic>L. digitata</italic> showed to enhance immunity by inducing IgM synthesis and POD activity, while maintaining the growth performance and condition indexes of the fish.</p>
<p>Although aquafeeds biofortified with higher incorporation percentages of <italic>L. digitata</italic> (3% and 6%) showed no cytotoxic and/or genotoxic potential, the lack of consistent and clear beneficial effects in fish fed with these doses of macroalga suggests that future studies should prioritise inclusion percentages below 3%. Indeed, in this study it seemed evident that &#x201c;less is more&#x201d; when it comes to incorporating <italic>L. digitata</italic> in aquafeeds, as this approach appears to be more advantageous in terms of achieving optimal animal health status and considering cost-effectiveness.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The animal study was approved by IPMA&#x2019;s Animal Welfare and Ethics Body (ORBEA). The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>IM: Data curation, Formal analysis, Investigation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. MD: Investigation, Writing &#x2013; review &amp; editing. AG: Investigation, Writing &#x2013; review &amp; editing. PP-F: Resources, Writing &#x2013; review &amp; editing. MD: Supervision, Writing &#x2013; review &amp; editing. AM: Resources, Supervision, Writing &#x2013; review &amp; editing. ALM: Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by Funda&#xe7;&#xe3;o Portuguesa para a Ci&#xea;ncia e Tecnologia (FCT I.P.), under the framework of the project Aqua-CLIMADAPT (PTDC/CTA-AMB/0592/2021, <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.54499/PTDC/CTA-AMB/0592/2021">https://doi.org/10.54499/PTDC/CTA-AMB/0592/2021</ext-link>) and the &#x201c;Applied Molecular Biosciences Unit&#x201d; (UCIBIO) which is financed by national funds from FCT/MCTES (UIDB/04378/2020), the project LA/P/0140/2020 of the Associate Laboratory Institute for Health and Bioeconomy&#x2014;i4HB. IM also acknowledges FCT I.P. for the PhD grant (2020.04413.BD).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors acknowledge the team from the Aquaculture Research Station of Olh&#xe3;o (EPPO &#x2013; IPMA I.P.) for the technical support provided during animal rearing and transplantation, as well as Leonardo Mata from GOPSIS Lda. for supplying the macroalga <italic>Laminaria digitata</italic> and Jorge Dias from SPAROS Lda. for supplying the experimental feeds.</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</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>
<p>The author(s) declared that they were an editorial board member of Frontiers, at the time of submission.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmars.2024.1325244/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2024.1325244/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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