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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.2025.1621216</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>Fatty acid profile of <italic>Gammarus locusta</italic> newly hatched offspring from the wild and from adults farmed on mono-specific macroalgal diets</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Sousa</surname>
<given-names>Jo&#xe3;o P.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Marques</surname>
<given-names>Lu&#xed;sa</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Rodrigues</surname>
<given-names>Daniela P.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Rey</surname>
<given-names>Felisa</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<contrib contrib-type="author">
<name>
<surname>Albuquerque</surname>
<given-names>Manuel</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Domingues</surname>
<given-names>Maria Ros&#xe1;rio M.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<contrib contrib-type="author">
<name>
<surname>Duarte</surname>
<given-names>Rafael C.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Calado</surname>
<given-names>Ricardo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
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<aff id="aff1">
<sup>1</sup>
<institution>ECOMARE &amp; CESAM, Centre for Environmental and Marine Studies and Department of Biology, University of Aveiro</institution>, <addr-line>Aveiro</addr-line>,&#xa0;<country>Portugal</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>CESAM, Centre for Environmental and Marine Studies and Department of Chemistry, University of Aveiro</institution>, <addr-line>Aveiro</addr-line>,&#xa0;<country>Portugal</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Mass Spectrometry Centre and LAQV-REQUIMTE, Department of Chemistry, University of Aveiro</institution>, <addr-line>Aveiro</addr-line>,&#xa0;<country>Portugal</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Kwaku Amoah, Guangdong Ocean University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Amit Ranjan, Tamil Nadu Fisheries University, India</p>
<p>Sahya Maulu, University of Plymouth, United Kingdom</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Ricardo Calado, <email xlink:href="mailto:rjcalado@ua.pt">rjcalado@ua.pt</email>; Jo&#xe3;o P. Sousa, <email xlink:href="mailto:jpsousa17@ua.pt">jpsousa17@ua.pt</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>18</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1621216</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Sousa, Marques, Rodrigues, Rey, Albuquerque, Domingues, Duarte and Calado</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Sousa, Marques, Rodrigues, Rey, Albuquerque, Domingues, Duarte and Calado</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 accelerated growth of marine aquaculture targeting species that require formulated aquafeeds creates a pressing need to find new sustainable ingredients and additives that can secure a premium farming performance, as well as the nutritional value of farmed species. Marine gammarid amphipods can be an excellent source of essential fatty acids (FA), namely, long-chain <italic>n</italic>-3 polyunsaturated FA (LC-PUFA). However, their potential contribution to aquaculture feeds remains largely unexplored. The present work evaluated the effect of five mono-specific macroalgal diets (<italic>Ulva</italic> sp., <italic>Fucus</italic> sp., <italic>Laminaria</italic> sp., <italic>Gracilaria</italic> sp., and <italic>Chondrus</italic> sp.) on the FA composition of the offspring of <italic>Gammarus locusta</italic> fed on these macroalgae and compared it with the offspring of wild conspecifics. Results revealed that offspring from wild <italic>G. locusta</italic> showed the highest amount of PUFA (4.95 &#xb1; 0.31 &#x3bc;g mg<sup>-1</sup> DW), as well as essential FA, namely eicosapentaenoic acid (EPA, 20:5<italic>n</italic>-3) (2.49 &#xb1; 0.21 &#x3bc;g mg<sup>-1</sup> DW) and docosahexaenoic acid (DHA, 22:6<italic>n</italic>-3) (0.87 &#xb1; 0.16 &#x3bc;g mg<sup>-1</sup> DW). The treatment with the highest amount of PUFA and EPA was the one using <italic>Fucus</italic> sp. as a mono-specific macroalgal diet (4.46 &#xb1; 0.31 &#x3bc;g mg<sup>-1</sup> DW and 2.42 &#xb1; 0.24 &#x3bc;g mg<sup>-1</sup> DW, respectively). The best levels of DHA in offspring were recorded for specimens feeding on <italic>Chondrus</italic> sp. (0.56 &#xb1; 0.10 &#x3bc;g mg<sup>-1</sup> DW). Significant differences in the abundance of stearic acid (18:0) and DHA were observed between the offspring of adults fed algal-based diets and those from the wild. These findings suggest that <italic>G. locusta</italic> selectively conserves and directly or indirectly biosynthesises essential FA for growth and reproduction, particularly LC-PUFA. Overall, <italic>G. locusta</italic> can perform a trophic upgrade of its diet, making this gammarid amphipod a promising additive for the formulation of high-quality aquafeeds supplying LC-PUFA.</p>
</abstract>
<kwd-group>
<kwd>aquafeeds</kwd>
<kwd>fatty acids</kwd>
<kwd>GC-MS</kwd>
<kwd>LC-PUFA</kwd>
<kwd>marine gammarids</kwd>
<kwd>trophic upgrading</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="51"/>
<page-count count="15"/>
<word-count count="9138"/>
</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>Over the past two decades, significant advancements in aquaculture nutrition have been driven by a deeper understanding of the nutrient requirements of farmed organisms, feed efficiency, and sustainable supply of aquafeeds (<xref ref-type="bibr" rid="B31">Naylor et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B16">Glencross et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B14">FAO, 2024</xref>). Due to a lack of sustainable sources, the pressure on high-quality aquafeed ingredients, particularly fish meal (FM) and fish oil (FO), grows proportionally to the demand for sustainable aquaculture products. These conventional aquafeed components contain essential amino acids and long-chain polyunsaturated fatty acids (LC-PUFA), which play key-roles in the development, reproduction, immune system and stress response of multiple marine species targeted for aquaculture (<xref ref-type="bibr" rid="B40">Ribes-Navarro et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B15">Glencross et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B14">FAO, 2024</xref>). Consequently, while FM and FO are some of the most balanced and nutritious ingredients for the formulation of aquafeeds, the increase in marine aquaculture is challenging the sustainability of their use, as these are derived from finite marine resources (<xref ref-type="bibr" rid="B31">Naylor et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B14">FAO, 2024</xref>). For this reason, the search for nutritionally rich and environmentally friendly alternatives to FM and FO is a priority in marine aquaculture systems (<xref ref-type="bibr" rid="B45">Sadegh Alavi-Yeganeh et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B5">Baeza-Rojano et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B20">Jim&#xe9;nez-Prada et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B43">Rodrigues et&#xa0;al., 2022</xref>).</p>
<p>Several alternatives have emerged to relieve pressure on traditional sources of marine ingredients, such as the introduction of plant and algal-based oils (e.g., soy meal, agricultural waste and microalgae) and animal-based and single-cell solutions (e.g., insect meal, yeast and bacteria-based feeds, respectively), which have been moderately successful in replacing FM and FO (<xref ref-type="bibr" rid="B12">Cottrell et&#xa0;al., 2020</xref>). It is worth highlighting, that replacing commonly used marine-based ingredients by land-based ones when formulating aquafeeds for marine organisms is often associated with a reduction in the nutritional value of the final product; this caveat is mostly due to a decrease, or even a lack, of essential amino acids and essential <italic>n</italic>-3 LC-PUFA, namely eicosapentaenoic acid (EPA, 20:5<italic>n</italic>-3) and docosahexaenoic acid (DHA, 22:6<italic>n</italic>-3) (<xref ref-type="bibr" rid="B2">&#xc1;lvarez et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B30">Napier and Betancor, 2023</xref>).</p>
<p>Marine gammarid amphipods have been highlighted as promising candidates to diversify the supply of FM and FO for the formulation of aquafeeds due to their high protein (40-45% in dried <italic>Gammarus</italic>), essential amino acids and LC-PUFA content, as well as their natural high abundance and larger body size (&gt; 1 mm) when compared to other aquatic micro-invertebrates (<xref ref-type="bibr" rid="B6">Baeza-Rojano et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B17">Harl&#x131;o&#x11f;lu and Farhadi, 2018</xref>; <xref ref-type="bibr" rid="B19">Jim&#xe9;nez-Prada et&#xa0;al., 2018</xref>). Besides being highly abundant in aquatic environments, these organisms are able to grow under a large range of environmental conditions, making them suitable for large-scale production (<xref ref-type="bibr" rid="B11">Costa and Costa, 2000</xref>; <xref ref-type="bibr" rid="B1">Alberts-Hubatsch et&#xa0;al., 2019</xref>). Additionally, gammarids can be farmed using agricultural by-products and aquaculture waste streams as feed, closing the nutrient cycle and reducing waste, thus enhancing sustainability and fostering a circular bioeconomy (<xref ref-type="bibr" rid="B1">Alberts-Hubatsch et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B20">Jim&#xe9;nez-Prada et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B40">Ribes-Navarro et&#xa0;al., 2022</xref>). It has already been documented that extracts of amphipods from genus <italic>Gammarus</italic> can enhance the immune response, growth, and resistance to stress in fish production, making them potentially valuable additives to improve farmed fish performance (<xref ref-type="bibr" rid="B17">Harl&#x131;o&#x11f;lu and Farhadi, 2018</xref>). Feed represents a significant expense in aquaculture, so low-cost and nutrient-rich alternatives, such as marine gammarid amphipods, can contribute to reducing the reliance on increasingly expensive FM and FO, while also improving aquaculture profitability (<xref ref-type="bibr" rid="B31">Naylor et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B14">FAO, 2024</xref>).</p>
<p>To unravel the full potential of marine gammarid amphipods as ingredients or additives for the formulation of aquafeeds, it is urgent to foster basic research studies to optimise their cultivation techniques and evaluate their potential applications (<xref ref-type="bibr" rid="B17">Harl&#x131;o&#x11f;lu and Farhadi, 2018</xref>). Recent works on several temperate gammarid species, such as <italic>Gammarus locusta</italic> and <italic>Echinogammarus marinus</italic>, more recently renamed as <italic>Marinogammarus marinus</italic> (<xref ref-type="bibr" rid="B18">Horton, 2023</xref>), have provided valuable insights into their nutritional profile and growth performance under specific diets, such as agricultural sidestreams, which lack essential LC-PUFA, and aquaculture waste. Nonetheless, those gammarids present high levels of PUFA and LC-PUFA and show no radical changes in growth and survival (<xref ref-type="bibr" rid="B1">Alberts-Hubatsch et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B20">Jim&#xe9;nez-Prada et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B40">Ribes-Navarro et&#xa0;al., 2022</xref>).</p>
<p>The objective of the present study was to evaluate the impact of mono-specific macroalgal diets supplied to <italic>G. locusta</italic> broodstock, (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> &#x2013; left) on the fatty acid (FA) composition of their offspring (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> &#x2013; right) and compare it to the offspring obtained from wild conspecifics. The macroalgae <italic>Ulva</italic> sp., <italic>Fucus</italic> sp. and <italic>Gracilaria</italic> sp. were chosen because they are a natural source of food and shelter for this gammarid species (<xref ref-type="bibr" rid="B11">Costa and Costa, 2000</xref>), while <italic>Laminaria</italic> sp. and <italic>Chondrus</italic> sp. were also tested as diets due to their high abundance in the sampling area of the amphipod species being addressed in the present study. By feeding <italic>G. locusta</italic> broodstock with mono-specific macroalgal diets that display very low absolute levels of EPA and lack DHA, we aimed to: 1) test the ability of this marine gammarid amphipod species to perform a trophic upgrade by producing offspring featuring these biomolecules in their biomass; and 2) contrast the FA profile of farmed offspring with that of offspring spawned by conspecifics collected from the wild.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Left: A breeding pair of <italic>Gammarus locusta</italic> (male is the larger specimen on top). Right: <italic>Gammarus locusta</italic> newborn.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1621216-g001.tif">
<alt-text content-type="machine-generated">Two images show close-up views of small crustaceans. The left image displays two intertwined crustaceans against a dark background, with a scale of one millimeter. The right image features a single crustacean with visible segmented details and purple markings against a light background, with a scale of two hundred micrometers.</alt-text>
</graphic>
</fig>
</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>Sampling and laboratory procedures</title>
<p>Adults of <italic>G. locusta</italic> were sampled from Mira channel in the coastal lagoon Ria de Aveiro (Portugal, 40&#xb0;37&#x2019;15.4&#x201d;N, 8&#xb0;44&#x2019;23.6&#x201d; W), at 2.5 km from the lagoon&#x2019;s inlet and with a salinity of 35 (<xref ref-type="bibr" rid="B35">Quintino et&#xa0;al., 2009</xref>). Specimens of <italic>G. locusta</italic> were collected from the wild in June 2023 at low tide from the macroalgae <italic>Ulva</italic> sp., <italic>Fucus</italic> sp., and <italic>Gracilaria</italic> sp. by gently shaking algal fronds inside a 20-L bucket filled with seawater from that same location to release attached amphipods. Subsequently, all specimens were sieved through a 1-mm net and transferred into another 20-L bucket also containing water from the sampling location and transported to the laboratory. At the laboratory, females of <italic>G. locusta</italic> in pre-copula were sorted and paired with a conspecific male, until forming a total of 25 breeding pairs. All breeding pairs were fed <italic>ad libitum</italic> on freshly collected <italic>Ulva</italic> sp. while being individually acclimated for seven days in custom-built floating PVC chambers (63 mm in diameter x 100 mm high, with their bottom being covered with a 1-mm mesh) randomly distributed through four 50-L tanks (350 mm long x 400 mm wide x 500 mm high) with recirculating natural seawater at a temperature of 20&#xb0;C and a photoperiod of 12 h light/12 h dark provided by a pair of 58 W white fluorescent lamps per each two tanks (see <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). The life support system of these four 50-L tanks was equipped with a sump, housing a Deltec 1000ix internal protein skimmer, a TMC UV-steriliser P1 of 55 W, a Hailea HC-500A chiller, which was connected to an EHEIM universal 1200 water pump placed inside the sump to maintain the temperature stable (20 &#xb1; 1 &#xb0;C), and an EHEIM universal 2400 pump returning the water to the tanks at a flow of 2400 L h<sup>-1</sup>. Salinity was kept stable at 35 through a Deltec Aquastat 1001 osmoregulator connected to an EHEIM 1000 pump placed inside a reservoir filled with freshwater purified by reverse osmosis to compensate for water evaporation (<xref ref-type="bibr" rid="B47">Silva et&#xa0;al., 2021</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>
  <bold>(A)</bold> Lateral view of floating PVC chambers employed to house the breeding pairs of <italic>Gammarus locusta</italic> (left) and detachable chamber to collect their newly hatched offspring (right); <bold>(B)</bold> Lateral view of the assembled PVC chamber; <bold>(C)</bold> Bottom view of the PVC chamber with 1-mm net at the bottom; <bold>(D)</bold> Bottom view of the detachable chamber to collect newly hatched offspring with the 150-&#xb5;m net at the bottom; and <bold>(E)</bold> Experimental life support system employed featuring the four 50-L tanks used to house the floating PVC chambers stocked with the breeding pairs of <italic>G. locusta</italic>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1621216-g002.tif">
<alt-text content-type="machine-generated">(A) and (B) show two views of a cylindrical object with a green foam top. (C) shows the bottom with a metal mesh. (D) shows the mesh cover alone. (E) displays several similar objects submerged in a laboratory tank environment.</alt-text>
</graphic>
</fig>
<p>Fresh biomass of the following five different species of macroalgae was sampled from three different sites within the Mira channel: the green macroalga <italic>Ulva</italic> sp. (popularly known as sea lettuce), the brown macroalgae <italic>Fucus</italic> sp. (popularly known as bladderwrack) and <italic>Laminaria</italic> sp. (popularly known as kelp), and the red macroalgae <italic>Gracilaria</italic> sp. (popularly known as ogonori) and <italic>Chondrus</italic> sp. (popularly known as Irish moss) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Macroalgae sampled at Ria of Aveiro (Portugal) and used as monospecific diets to feed the breeding pairs of the marine amphipod <italic>Gammarus locusta</italic>: <bold>(A)</bold> <italic>Ulva</italic> sp. (green macroalga); <bold>(B)</bold> <italic>Fucus</italic> sp. (brown macroalga); <bold>(C)</bold> <italic>Laminaria</italic> sp. (brown macroalga)<italic>;</italic> <bold>(D)</bold> <italic>Gracilaria</italic> sp. (red macroalga); and <bold>(E)</bold> <italic>Chondrus</italic> sp. (red macroalga).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1621216-g003.tif">
<alt-text content-type="machine-generated">Five seaweed samples labeled A to E. A: bright green, wide leaves. B: dark green, bushy branches. C: long, dark brown strips. D: tangled, reddish-brown filaments. E: dark red, broad leaf clusters.</alt-text>
</graphic>
</fig>
<p>After sampling, all macroalgae were transported to the laboratory in buckets filled with local seawater to be used as mono-specific diets for <italic>G. locusta</italic>. In the laboratory, all macroalgae were rinsed and hand-washed with seawater to remove any potential source of contamination during the experiment, such as small invertebrates and epiphytes. All collected macroalgae were kept in tanks under the same conditions as the amphipods (see above). Five pieces of at least 5 g each (fresh weight) were collected from each macroalgal biomass, rinsed with freshwater purified by reverse osmosis and the remaining epiphytes were manually removed, being subsequently frozen at -20&#xb0;C and freeze-dried (Labogene CoolSafe 55-9L PRO) for further analyses, as recommended by <xref ref-type="bibr" rid="B20">Jim&#xe9;nez-Prada et&#xa0;al. (2020)</xref>.</p>
<p>Each of the twenty-five breeding pairs of <italic>G. locusta</italic> was fed with one of the five mono-specific macroalgal diets after 24 h of starvation to purge their digestive tract (which could be confirmed visually through the absence of faecal material in their translucent dorsal intestine tube) and ensure that the breeding pair would derive any of the nutrients used to mature their gonads from the mono-specific macroalgal diets being tested. Additionally, 20 ovigerous females from the wild brooding embryos about to hatch were isolated and starved in the chambers detailed above until their newly hatched offspring was released from the female&#x2019;s marsupium. Five (<italic>n</italic> = 5) of these newly hatched wild broods were collected and rinsed with water purified by reverse osmosis, gently dried with absorbent paper, counted, frozen at -20 &#xb0;C, freeze-dried and stored at -20 &#xb0;C until further analysis (<xref ref-type="bibr" rid="B44">Rollin et&#xa0;al., 2017</xref>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Experimental setup</title>
<p>The twenty-five breeding pairs of <italic>G. locusta</italic> were separately allocated to a floating chamber, with these being randomly distributed throughout the four 50-L tanks detailed above and a total of five breeding pairs being allocated to each of the five mono-specific macroalgal diets. After seven days of acclimation (see section 2.1), each breeding pair was supplied daily with approximately 0.2 g (determined after preliminary feeding trials performed in the laboratory) of one of the five fresh mono-specific macroalgal diets tested. All breeding pairs of <italic>G. locusta</italic> were fed <italic>ad libitum</italic> and exclusively on their specific macroalgal diet, with any uneaten food being removed daily to safeguard water quality. Breeding pairs were fed with one of the five mono-specific macroalgal diets described above to obtain five broods of newly hatched offspring per mono-specific macroalgal diet (<italic>n</italic> = 5 per each mono-specific macroalgal diet), with each brood being considered as an independent replicate for experimental purposes. The newly hatched offspring of <italic>G. locusta</italic> breeding pairs was collected every day from the detachable chambers. The broods considered for biochemical analyses either originated from the second or third brood produced in the laboratory under the mono-specific macroalgal diet being tested, depending on whether the female was either non- or ovigerous since the start of the experiment, respectively. This procedure aimed to safeguard that the FA profiles displayed by their newly hatched offspring mostly reflected the influence of the mono-specific macroalgal diets being tested and were less likely to be biased by maternal reserves derived from their natural diet in the wild. The five broods of newly hatched offspring per mono-specific macroalgal diet selected for biochemical analysis were first rinsed with water purified by reverse osmosis, gently dried with absorbent paper, counted, frozen at -20 &#xb0;C, freeze-dried and stored at -20 &#xb0;C until further analyses (<xref ref-type="bibr" rid="B44">Rollin et&#xa0;al., 2017</xref>).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Biochemical analyses</title>
<sec id="s2_3_1">
<label>2.3.1</label>
<title>Lipid extraction</title>
<sec id="s2_3_1_1">
<label>2.3.1.1</label>
<title>Macroalgae</title>
<p>Freeze-dried samples of all macroalgae tested in the present work, with a mean dry weight (DW) of 252 &#xb1; 2.8 mg (mean &#xb1; standard deviation), were macerated in a mortar using a glass rod. Lipid extraction was performed using a modified protocol from the <xref ref-type="bibr" rid="B7">Bligh and Dyer (1959)</xref> method (<xref ref-type="bibr" rid="B38">Rey et&#xa0;al., 2023</xref>). A volume of 2500 &#x3bc;L of methanol (MeOH), (HPLC grade, Fisher Scientific, UK) and 1250 &#x3bc;L of dichloromethane (CH<sub>2</sub>Cl<sub>2</sub>) (HPLC grade, Fisher Scientific, UK) was added to each sample and then homogenised (Multi Reax Vortex Shaker, Heidolph Instruments, Germany) for 2 min, sonicated for 1 min and incubated on ice in an orbital shaker at 150 rpm (Stuart SSL2 Reciprocating Shaker, Cole Parmer, USA) for 2 h. After the addition of 1250 &#x3bc;L of CH<sub>2</sub>Cl<sub>2</sub>, samples were homogenised for 2 min and then centrifuged at 3000 rpm for 10 min at 4 &#xb0;C (Centurion Scientific Pro Analytical C4000R with a BRK5324 rotor, Stoughton, UK). The organic phase was collected in a new tube, and the biomass residue was re-extracted by adding 2500 &#x3bc;L of MeOH and 2500 &#x3bc;L of CH<sub>2</sub>Cl<sub>2</sub>, followed by vortex and centrifugation. A volume of 2250 &#x3bc;L of Mili Q water (Synergysup<sup>&#xae;</sup>, Millipore Corporation, Billerica, MA, USA) was added to the organic phase, promoting phase separation. The organic phase was collected, following homogenisation and new centrifugation for 10 min at 3000 rpm at 4 &#xb0;C. The aqueous phase was re-extracted with 2000 &#x3bc;L of CH<sub>2</sub>Cl<sub>2</sub> and centrifuged. The combination of both organic phases was dried under a nitrogen stream, and total lipid content was determined by gravimetry.</p>
</sec>
<sec id="s2_3_1_2">
<label>2.3.1.2</label>
<title>Newly hatched offspring of <italic>Gammarus locusta</italic>
</title>
<p>Freeze-dried samples of newly hatched offspring of <italic>G. locusta</italic> with a mean DW of 0.92 &#xb1; 0.1 mg (mean &#xb1; standard deviation) were transferred to glass tubes and macerated with a glass rod before adding 500 &#x3bc;L of MeOH and 250 &#x3bc;L of CH<sub>2</sub>Cl<sub>2</sub>. The resulting mixture was homogenised for 2 min and incubated on ice for 30 min. Posteriorly, 250 &#x3bc;L of dichloromethane were added and homogenised for 2 min prior to centrifugation at 3000 rpm for 10 min at 4 &#xb0;C. The organic phase containing the lipid extract was transferred to a new tube and dried under a nitrogen stream before methylation (<xref ref-type="bibr" rid="B39">Rey et&#xa0;al., 2022</xref>).</p>
</sec>
</sec>
<sec id="s2_3_2">
<label>2.3.2</label>
<title>Fatty acid analysis</title>
<p>Fatty acid methyl esters (FAME) were obtained from alkaline transmethylation. A lipid extract fraction corresponding to 30 &#x3bc;g of lipids from macroalgae or total lipid from <italic>G. locusta</italic> newly hatched offspring was transferred to glass tubes previously washed with <italic>n</italic>-hexane (99%) (<xref ref-type="bibr" rid="B24">Maia et&#xa0;al., 2025</xref>). After drying under a nitrogen stream, 1 mL of internal standard C19:0 (1.01 &#x3bc;g mL<sup>-1</sup>, CAS number 1731-94-8, Merck) in <italic>n</italic>-hexane (99%) was added to the tubes containing the lipid extracts, followed by the addition of 200 &#x3bc;L of a methanolic potassium hydroxide (KOH) solution (2 M). After sample homogenisation, 2 mL of a saturated sodium chloride solution (NaCl, 10 mg mL<sup>-1</sup>) was added, and the samples were centrifuged for 5 min at 2000 rpm. Then, 600 &#x3bc;L of organic phase containing the FAME were collected. In offspring samples, cholesterol from the organic phase was removed before gas chromatography mass spectrometry (GC-MS) analysis, according to the <xref ref-type="bibr" rid="B9">Christie (2023)</xref> protocol (<xref ref-type="bibr" rid="B24">Maia et&#xa0;al., 2025</xref>). Glass tips were filled with 0.1 g of silica and cotton at the bottom. The columns were activated with 5 mL of <italic>n</italic>-hexane and the 600 &#x3bc;L of the organic phase containing FAME were added to the column, followed by 3 mL of a hexane:diethyl ether solution (95:5, v/v). FAMEs without cholesterol were collected in a glass tube and dried under a nitrogen flow. Subsequently, FAMEs from both macroalgae and <italic>G. locusta</italic> offspring were dissolved in 100 &#x3bc;L of <italic>n</italic>-hexane (99%), from which 2 &#x3bc;L of the solution were injected in the GC-MS equipment (Agilent Technologies 5977 B GC/MSD, Santa Clara, CA, USA) with a DB-FFAP column (123-3232, J and W Scientific, Folsom CA, USA), presenting the following specifications: 30 m in length, an internal diameter of 320 &#x3bc;m and a film thickness of 0.25 &#x3bc;m. The equipment was connected to a Mass Selective Detector operating with an electron impact mode at 70 eV and a scanning mass range of <italic>m/z</italic> 50-550 (1-second cycle in full scan mode). The oven temperature was programmed from an initial temperature of 58 &#xb0;C for 2 min, followed by a linear increase to 160 &#xb0;C at 25 &#xb0;C min<sup>-1</sup>, a linear increase of 2 &#xb0;C min<sup>-1</sup> to 210 &#xb0;C, then 20 &#xb0;C min<sup>-1</sup> until reaching 225 &#xb0;C which was maintained for 15 min. The injector was set at 220 &#xb0;C and the detector at 230 &#xb0;C. Helium was used as the carrier gas (constant flow 1.4 mL min<sup>-1</sup>). The data acquisition software employed was the GCMS 5977B/Enhanced MassHunter, with FA peaks being identified using Agilent MassHunter Qualitative Analysis 10.0 software through retention time values and comparison of MS spectra of each FAME with the 37-Component FAME Mix certified standard (Supelco 37 Component FAME Mix, ref. 47,885&#x2013;1, Sigma-Aldrich) and confirmed by comparison with NIST chemical database library and the spectral library &#x201c;The AOCS Lipid Library&#x201d; (<xref ref-type="bibr" rid="B9">Christie, 2023</xref>).</p>
</sec>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Statistical analyses</title>
<p>A Principal Coordinate Analysis (PCoA) was performed separately for the macroalgae and the newly hatched offspring of <italic>G. locusta</italic> datasets, using the abundance of the most abundant FAs (expressed as &#xb5;g of FA per mg of macroalgae or amphipod dry weight, DW), specifically those representing more than 1% of total FA abundance, while excluding branched and epoxy FAs. Prior to analysis, data were log (x+1)-transformed to reduce the impact of dominant FAs and prevent overemphasis on their contribution. The transformed data were then converted into a resemblance matrix using the Euclidean distance similarity coefficient. Using this resemblance matrix, we performed a one-way Permutational Multivariate Analysis of Variance (PERMANOVA; <xref ref-type="bibr" rid="B3">Anderson, 2001</xref>) with 9,999 permutations to compare FA composition across groups. We conducted separate comparisons for macroalgae (with five algal species as a fixed factor) and newly hatched offspring of <italic>G. locusta</italic> (from breeding pairs fed with the five mono-specific macroalgal diets and from ovigerous females collected from the wild as a fixed factor). Whenever significant effects were detected, pairwise comparisons were performed to identify differences between levels of significant factors. Additionally, the Similarity Percentage (SIMPER) method was also employed to determine which FAs contributed most to the observed differences between macroalgal species and broods of newly hatched offspring of <italic>G. locusta</italic>. All multivariate analyses were conducted using R v.4.4.3 (<xref ref-type="bibr" rid="B37">R Core Team, 2025</xref>). Specifically, PCoA was performed through the function &#x2018;pcoa&#x2019; of the &#x201c;ape&#x201d; package (<xref ref-type="bibr" rid="B33">Paradis and Schliep, 2019</xref>), PERMANOVA with pairwise comparisons using the functions &#x2018;adonis2&#x2019; and &#x2018;pairwise.adonis2&#x2019; of the packages &#x201c;vegan&#x201d; and &#x201c;pairwiseAdonis&#x201d;, respectively, and SIMPER using the function &#x2018;simper&#x2019; of the &#x201c;vegan&#x201d; package (<xref ref-type="bibr" rid="B4">Arbizu, 2017</xref>; <xref ref-type="bibr" rid="B32">Oksanen et&#xa0;al., 2025</xref>).</p>
<p>Furthermore, a separate one-way Analysis of Variance (ANOVA) was employed to assess significant differences in the abundance of FA classes, namely saturated fatty acids (SFA), monounsaturated fatty acids (MUFA), and polyunsaturated fatty acids (PUFA), as well as FA ratios (<italic>n</italic>-3/<italic>n</italic>-6 and PUFA/SFA) among the five macroalgal species. Similarly, we used separate one-way ANOVAs to compare the individual abundances of the most abundant FAs, FA classes, and FA ratios (including the EPA/DHA ratio) in the newly hatched offspring of <italic>G. locusta</italic>, as well as the number of neonates produced per brood and their DW, in relation to parental diet (wild or fed with the five mono-specific macroalgal diets). For all models, we assessed the normality of residuals using q-q plots and tested the homogeneity of variances with Bartlett&#x2019;s test, using the &#x201c;performance&#x201d; package in R (<xref ref-type="bibr" rid="B23">L&#xfc;decke et&#xa0;al., 2021</xref>). Log transformation was applied where necessary, including for SFA, MUFA, and PUFA/SFA in macroalgae, as well as for DW, certain individual FAs (16:0, 18:0, and 20:4 <italic>n</italic>-6), and SFA in newly hatched offspring of <italic>G. locusta</italic>. In cases of significant effects, we performed Tukey&#x2019;s <italic>post-hoc</italic> tests to identify differences between factor levels using the &#x201c;emmeans&#x201d; package in R (<xref ref-type="bibr" rid="B21">Lenth, 2017</xref>). All univariate statistical analyses were conducted using R v.4.4.3 (<xref ref-type="bibr" rid="B37">R Core Team, 2025</xref>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>
<italic>Gammarus locusta</italic> offspring</title>
<p>The average number of newly hatched amphipods released per brood and the DW of the whole brood differed significantly between treatments (<italic>F</italic>
<sub>5,24</sub> = 14.89, <italic>p</italic> &lt; 0.001 and <italic>F</italic>
<sub>5,24</sub> = 3.91, <italic>p</italic> = 0.01) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>). In the wild, adult <italic>G. locusta</italic> (i.e., not exposed to the experimental diets) produced a significantly higher number of offspring per brood than conspecifics fed on mono-specific macroalgal diets, except for those supplied with <italic>Ulva</italic>, which featured a similar production of offspring per brood (mean &#xb1; SE: 87 &#xb1; 4 and 81 &#xb1; 3 for offspring per brood from wild and <italic>Ul</italic>va, respectively). In contrast, conspecifics fed with <italic>Chondrus</italic> produced fewer neonates per brood than those in the other mono-specific macroalgal diets, except for those fed with <italic>Gracilaria</italic>, which exhibited a comparable number (46 &#xb1; 2 offspring per brood from <italic>Chondrus</italic> and 59 &#xb1; 3 offspring per brood from <italic>Gracilaria</italic>). The DW of the whole brood did not vary considerably among treatments, except for amphipods fed with <italic>Chondrus</italic> (1.13 &#xb1; 0.04 mg), which displayed significantly lower values than those fed with <italic>Laminaria</italic> (2.01 &#xb1; 0.32 mg) and those from the wild (1.82 &#xb1; 0.17 mg).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Fatty acid analyses</title>
<sec id="s3_2_1">
<label>3.2.1</label>
<title>Macroalgae</title>
<p>A total of 19 FAs were identified in <italic>Ulva</italic>, 17 in <italic>Fucus</italic>, 15 in <italic>Laminaria</italic>, 12 in <italic>Gracilaria</italic>, and 16 in <italic>Chondrus</italic>, with the number of carbons ranging from 14 to 24 (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>). As expected, the overall FA profile of macroalgae significantly differed among species (PERMANOVA, <italic>F</italic>
<sub>4,20</sub> = 24.37, <italic>p</italic> = 0.001), with all species differing from each other in the pairwise comparisons and clearly segregating in the PCoA plot (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). The most abundant FA in <italic>Ulva</italic>, <italic>Laminaria</italic>, <italic>Gracilaria</italic>, and <italic>Chondrus</italic> was palmitic acid (16:0) (mean &#xb1; SD: 0.41 &#xb1; 0.03, 1.74 &#xb1; 1.56, 0.87 &#xb1; 0.19, 0.17 &#xb1; 0.06 &#xb5;g mg<sup>&#x2212;1</sup> DW, respectively), while oleic acid (18:1<italic>n</italic>-9) was the most abundant FA in <italic>Fucus</italic> (3.28 &#xb1; 0.15 &#xb5;g mg<sup>&#x2212;1</sup> DW) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Although SFA were the most representative FA class in <italic>Ulva</italic>, <italic>Laminaria</italic> and <italic>Gracilaria</italic>, they were significantly more abundant in the brown macroalgae <italic>Laminaria</italic> and <italic>Fucus</italic> (<italic>F</italic>
<sub>4,20</sub> = 38.05, <italic>p</italic> &lt; 0.001, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>). Similarly, MUFA and PUFA were significantly more abundant in <italic>Fucus</italic>, followed by <italic>Laminaria</italic>, with the first being the most common FA class found in <italic>Fucus</italic> and the second in <italic>Chondrus</italic> (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>). The ratio between <italic>n</italic>-3 and <italic>n</italic>-6 PUFAs significantly differed among macroalgae (<italic>F</italic>
<sub>4,20</sub> = 13.14, <italic>p</italic> &lt; 0.001), being lower for <italic>Fucus</italic> (0.53 &#xb1; 0.03) and <italic>Laminaria</italic> (1.27 &#xb1; 0.90) and higher for <italic>Ulva</italic> (2.87 &#xb1; 0.45) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). On the contrary, the ratio between PUFA and SFA did not vary significantly among the macroalgal species tested (<italic>F</italic>
<sub>4,20</sub> = 0.99, <italic>p</italic> = 0.434).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Principal Coordinate Analysis (PCoA) illustrating the variation in the fatty acid composition of the five macroalgal species (<italic>Ulva</italic> sp., <italic>Fucus</italic> sp., <italic>Laminaria</italic> sp., <italic>Gracilaria</italic> sp. and <italic>Chondrus</italic> sp.) used as mono-specific diets to <italic>Gammarus locusta</italic> broodstocks. Analysis was restricted to fatty acids in the samples accounting for more than 1% of total fatty acid abundance.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1621216-g004.tif">
<alt-text content-type="machine-generated">Scatter plot showing macroalgae types Ulva, Laminaria, Chondrus, Fucus, and Gracilaria distinguished by color. Axes are PCO1 at 85.5% variation and PCO2 at 5.8% variation. Vectors with labels like 18:3 n-3 indicate specific data variables.</alt-text>
</graphic>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Most abundant fatty acids (FAs) (i.e. those representing more than 1% of total FA abundance) identified in the five macroalgae species used as mono-specific diets in the feeding of the amphipod <italic>Gammarus locusta</italic> (<italic>Ulva</italic> sp., <italic>Fucus</italic> sp., <italic>Laminaria</italic> sp., <italic>Gracilaria</italic> sp., and <italic>Chondrus</italic> sp.).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">FAMEs</th>
<th valign="top" align="center">
<italic>Ulva</italic> sp.</th>
<th valign="top" align="center">
<italic>Fucus</italic> sp.</th>
<th valign="top" align="center">
<italic>Laminaria</italic> sp.</th>
<th valign="top" align="center">
<italic>Gracilaria</italic> sp.</th>
<th valign="top" align="center">
<italic>Chondrus</italic> sp.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">14:0</td>
<td valign="top" align="center">0.01 &#xb1; 0.0</td>
<td valign="top" align="center">0.97 &#xb1; 0.1</td>
<td valign="top" align="center">0.17 &#xb1; 0.1</td>
<td valign="top" align="center">0.10 &#xb1; 0.0</td>
<td valign="top" align="center">0.01 &#xb1; 0.0</td>
</tr>
<tr>
<td valign="top" align="left">16:0</td>
<td valign="top" align="center">0.41 &#xb1; 0.0<sup>a</sup>
</td>
<td valign="top" align="center">1.55 &#xb1; 0.1<sup>b</sup>
</td>
<td valign="top" align="center">1.74 &#xb1; 1.6<sup>b</sup>
</td>
<td valign="top" align="center">0.87 &#xb1; 0.2<sup>c</sup>
</td>
<td valign="top" align="center">0.17 &#xb1; 0.1<sup>d</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">18:0</td>
<td valign="top" align="center">0.05 &#xb1; 0.0<sup>a</sup>
</td>
<td valign="top" align="center">0.38 &#xb1; 0.2<sup>b</sup>
</td>
<td valign="top" align="center">0.33 &#xb1; 0.3<sup>b</sup>
</td>
<td valign="top" align="center">0.06 &#xb1; 0.0<sup>a</sup>
</td>
<td valign="top" align="center">0.04 &#xb1; 0.0<sup>a</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">SFA<sup>1</sup>
</td>
<td valign="top" align="center">0.47 &#xb1; 0.1 <sup>a</sup>
</td>
<td valign="top" align="center">3.01 &#xb1; 0.4 <sup>b</sup>
</td>
<td valign="top" align="center">2.32 &#xb1; 2.1 <sup>b,c</sup>
</td>
<td valign="top" align="center">1.04 &#xb1; 0.2 <sup>c</sup>
</td>
<td valign="top" align="center">0.22 &#xb1; 0.1 <sup>d</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">16:1<italic>n</italic>-7</td>
<td valign="top" align="center">0.01 &#xb1; 0.0</td>
<td valign="top" align="center">0.09 &#xb1; 0.0</td>
<td valign="top" align="center">0.16 &#xb1; 0.1</td>
<td valign="top" align="center">0.05 &#xb1; 0.0</td>
<td valign="top" align="center">0.01 &#xb1; 0.0</td>
</tr>
<tr>
<td valign="top" align="left">18:1<italic>n</italic>-9</td>
<td valign="top" align="center">0.02 &#xb1; 0.0<sup>a</sup>
</td>
<td valign="top" align="center">3.28 &#xb1; 0.1<sup>b</sup>
</td>
<td valign="top" align="center">1.08 &#xb1; 1.4<sup>c</sup>
</td>
<td valign="top" align="center">0.24 &#xb1; 0.1<sup>c</sup>
</td>
<td valign="top" align="center">0.09 &#xb1; 0.1<sup>d</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">18:1<italic>n</italic>-7</td>
<td valign="top" align="center">0.14 &#xb1; 0.0<sup>a</sup>
</td>
<td valign="top" align="center">n.d.</td>
<td valign="top" align="center">0.10 &#xb1; 0.1<sup>a</sup>
</td>
<td valign="top" align="center">0.02 &#xb1; 0.0<sup>c</sup>
</td>
<td valign="top" align="center">0.01 &#xb1; 0.0<sup>c</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">MUFA<sup>2</sup>
</td>
<td valign="top" align="center">0.20 &#xb1; 0.0 <sup>a,b</sup>
</td>
<td valign="top" align="center">3.37 &#xb1; 0.2 <sup>c</sup>
</td>
<td valign="top" align="center">1.34 &#xb1; 1.3 <sup>d</sup>
</td>
<td valign="top" align="center">0.32 &#xb1; 0.1 <sup>a</sup>
</td>
<td valign="top" align="center">0.11 &#xb1; 0.1 <sup>b</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">18:2<italic>n</italic>-6</td>
<td valign="top" align="center">0.12 &#xb1; 0.0<sup>a</sup>
</td>
<td valign="top" align="center">0.65 &#xb1; 0.1<sup>b</sup>
</td>
<td valign="top" align="center">0.35 &#xb1; 0.3<sup>a,b</sup>
</td>
<td valign="top" align="center">0.02 &#xb1; 0.0<sup>c</sup>
</td>
<td valign="top" align="center">0.01 &#xb1; 0.0<sup>c</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">18:3<italic>n</italic>-3</td>
<td valign="top" align="center">0.26 &#xb1; 0.1<sup>a</sup>
</td>
<td valign="top" align="center">0.34 &#xb1; 0.0<sup>a</sup>
</td>
<td valign="top" align="center">0.21 &#xb1; 0.1<sup>a</sup>
</td>
<td valign="top" align="center">n.d.</td>
<td valign="top" align="center">0.00 &#xb1; 0.0<sup>c</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">18:4<italic>n</italic>-3</td>
<td valign="top" align="center">0.08 &#xb1; 0.0</td>
<td valign="top" align="center">0.29 &#xb1; 0.0</td>
<td valign="top" align="center">0.34 &#xb1; 0.2</td>
<td valign="top" align="center">n.d.</td>
<td valign="top" align="center">0.01 &#xb1; 0.0</td>
</tr>
<tr>
<td valign="top" align="left">20:4<italic>n</italic>-6</td>
<td valign="top" align="center">0.01 &#xb1; 0.0<sup>a</sup>
</td>
<td valign="top" align="center">1.26 &#xb1; 0.1<sup>b</sup>
</td>
<td valign="top" align="center">0.52 &#xb1; 0.4<sup>c</sup>
</td>
<td valign="top" align="center">0.25 &#xb1; 0.0<sup>c</sup>
</td>
<td valign="top" align="center">0.10 &#xb1; 0.1<sup>d</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">20:5<italic>n</italic>-3</td>
<td valign="top" align="center">0.01 &#xb1; 0.0<sup>a</sup>
</td>
<td valign="top" align="center">0.43 &#xb1; 0.0<sup>b</sup>
</td>
<td valign="top" align="center">0.22 &#xb1; 0.1<sup>b</sup>
</td>
<td valign="top" align="center">0.54 &#xb1; 0.1<sup>b</sup>
</td>
<td valign="top" align="center">0.10 &#xb1; 0.1<sup>c</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">PUFA<sup>3</sup>
</td>
<td valign="top" align="center">0.59 &#xb1; 0.1 <sup>a</sup>
</td>
<td valign="top" align="center">3.07 &#xb1; 0.3 <sup>b</sup>
</td>
<td valign="top" align="center">1.71 &#xb1; 0.8 <sup>c</sup>
</td>
<td valign="top" align="center">0.84 &#xb1; 0.2 <sup>a</sup>
</td>
<td valign="top" align="center">0.23 &#xb1; 0.2 <sup>a</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>n</italic>-3</td>
<td valign="top" align="center">0.35 &#xb1; 0.1</td>
<td valign="top" align="center">1.06 &#xb1; 0.1</td>
<td valign="top" align="center">0.77 &#xb1; 0.3</td>
<td valign="top" align="center">0.54 &#xb1; 0.1</td>
<td valign="top" align="center">0.11 &#xb1; 0.1</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>n</italic>-6</td>
<td valign="top" align="center">0.13 &#xb1; 0.0</td>
<td valign="top" align="center">1.91 &#xb1; 0.2</td>
<td valign="top" align="center">0.87 &#xb1; 0.6</td>
<td valign="top" align="center">0.27 &#xb1; 0.1</td>
<td valign="top" align="center">0.11 &#xb1; 0.1</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>n</italic>-3/<italic>n</italic>-6</td>
<td valign="top" align="center">2.61 &#xb1; 0.4 <sup>a</sup>
</td>
<td valign="top" align="center">0.55 &#xb1; 0.0 <sup>b</sup>
</td>
<td valign="top" align="center">1.33 &#xb1; 0.9 <sup>b,c</sup>
</td>
<td valign="top" align="center">1.96 &#xb1; 0.2 <sup>c</sup>
</td>
<td valign="top" align="center">1.06 &#xb1; 0.7 <sup>b,c</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">PUFA/SFA</td>
<td valign="top" align="center">1.04 &#xb1; 0.2</td>
<td valign="top" align="center">1.03 &#xb1; 0.0</td>
<td valign="top" align="center">0.98 &#xb1; 0.5</td>
<td valign="top" align="center">0.79 &#xb1; 0.2</td>
<td valign="top" align="center">0.98 &#xb1; 0.5</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Only fatty acids accounting for at least 1% of the total pool of fatty acids in at least three of the replicas of each biochemical matrix surveyed are presented. <sup>1</sup>SFA &#x2013; saturated fatty acids: 14:0, 15:0, 16:0, 17:0, 18:0, 20:0, 22:0 and 24:0; <sup>2</sup>MUFA &#x2013; monounsaturated fatty acids: 16:1, 16:1<italic>n</italic>-7, 17:1, 18:1<italic>n</italic>-9 and 18:1<italic>n</italic>-7; <sup>3</sup>PUFA &#x2013; polyunsaturated fatty acids: 7,10-16:2, 16:4<italic>n</italic>-3, 18:2, 18:2<italic>n</italic>-6, 18:3<italic>n</italic>-6, 18:3<italic>n</italic>-3, 18:4<italic>n</italic>-3, 20:3<italic>n</italic>-6, 20:4<italic>n</italic>-6, 20:5<italic>n</italic>-3, 22:5<italic>n</italic>-3. Statistical differences (Tukey&#x2019;s pair-wise comparisons, <italic>p</italic> &#x2264; 0.05) are indicated by different lower-case letters (a-d). n.d. &#x2013; not detected. Data are expressed as &#x3bc;g FA mg<sup>-1</sup> of sample dry weight and represent mean &#xb1; SD of five replicates (<italic>n</italic> = 5).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2_2">
<label>3.2.2</label>
<title>
<italic>Gammarus locusta</italic> offspring</title>
<p>A total of 22 FAs were identified in <italic>G. locusta&#x2019;s</italic> newly hatched offspring, with the number of carbons ranging from 14 to 22 (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;2</bold>
</xref>). The overall FA profile of <italic>G. locusta</italic> offspring significantly differed among the feeding treatments supplied to breeding pairs (PERMANOVA, <italic>F</italic>
<sub>5,24</sub> = 5.26, <italic>p</italic> = 0.001), with a clear segregation between the wild-derived offspring and that originated from macroalgal-fed adults (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). Such segregation was supported by pairwise comparisons, which indicated significant differences between all mono-specific algal diet treatments and wild-derived offspring (all <italic>p</italic> values &lt; 0.01), as well as between offspring of <italic>G. locusta</italic> breeding pairs supplied with <italic>Ulva</italic> and <italic>Fucus</italic> (<italic>p</italic> = 0.019). Regardless of the feeding treatments supplied, the most abundant FA in the offspring of adults fed with a mono-specific macroalgal diet were, in decreasing order: palmitic acid (16:0; mean &#xb1; SD: from 2.11 &#xb1; 0.51 to 2.59 &#xb1; 0.08 &#x3bc;g FA mg<sup>-1</sup> DW), EPA (20:5<italic>n</italic>-3; from 1.93 &#xb1; 0.72 to 2.42 &#xb1; 0.24 &#x3bc;g FA.mg<sup>-1</sup> DW) and the oleic acid (18:1<italic>n</italic>-9; from 1.09 &#xb1; 0.38 to 1.66 &#xb1; 0.15 &#x3bc;g FA mg<sup>-1</sup> DW) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). On the contrary, <italic>G. locusta</italic> offspring from the wild featured, in decreasing order of abundance, the following FAs: stearic acid (18:0; 2.88 &#xb1; 0.71 &#x3bc;g FA mg<sup>-1</sup> DW), palmitic acid (16:0; 2.75 &#xb1; 0.76 &#x3bc;g FA mg<sup>-1</sup> DW) and EPA (20:5<italic>n</italic>-3; 2.49 &#xb1; 0.21 &#x3bc;g FA mg<sup>-1</sup> DW) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). According to the SIMPER analysis, stearic acid (18:0) was the fatty acid that most contributed to the dissimilarities recorded between the offspring of <italic>G. locusta</italic> from the wild and those amphipods fed with a mono-specific macroalgal diet and those exposed to the mono-specific algal diet treatments, accounting for more than 60% of the dissimilarities for all comparisons. It is also worth referring that oleic acid (18:1<italic>n</italic>-9) was the FA that contributed the most (30.75%) for the dissimilarities recorded on the FA profile of offspring from breeding pairs fed <italic>Ulva</italic> or <italic>Fucus</italic> (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;3</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Principal Coordinate Analysis (PCoA) illustrating the variation in the fatty acid composition of <italic>Gammarus locusta</italic> offspring from breeding pairs fed with a mono-specific macroalgal diet (<italic>Ulva</italic> sp., <italic>Fucus</italic> sp., <italic>Laminaria</italic> sp., <italic>Gracilaria</italic> sp. and <italic>Chondrus</italic> sp.) or from specimens sourced from the wild. Analysis was restricted to fatty acids in the samples accounting for more than 1% of total fatty acid abundance.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1621216-g005.tif">
<alt-text content-type="machine-generated">Scatter plot showing PCO1 and PCO2 axes accounting for 56.5% and 27.5% of total variation, respectively. Points represent different diets: Ulva (green), Fucus (yellow), Laminaria (brown), Gracilaria (pink), Chondrus (red), and Wild (blue). Lines connect to labels such as 18:0, 20:4 n-6, indicating specific data points.</alt-text>
</graphic>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Most abundant fatty acids (FAs) (i.e. those representing more than 1% of total FA abundance) identified in <italic>Gammarus locusta</italic> offspring originated from adult broodstock fed with five different macroalgal diets (<italic>Ulva</italic> sp., <italic>Fucus</italic> sp., <italic>Laminaria</italic> sp., <italic>Gracilaria</italic> sp., and <italic>Chondrus</italic> sp.), and <italic>Gammarus locusta</italic> originated from broodstock retrieved from the wild.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">FAMEs</th>
<th valign="middle" align="center">
<italic>Ulva</italic>
</th>
<th valign="middle" align="center">
<italic>Fucus</italic>
</th>
<th valign="middle" align="center">
<italic>Laminaria</italic>
</th>
<th valign="middle" align="center">
<italic>Gracilaria</italic>
</th>
<th valign="middle" align="center">
<italic>Chondrus</italic>
</th>
<th valign="middle" align="center">
<italic>Wild</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">16:0</td>
<td valign="middle" align="center">2.31 &#xb1; 0.6</td>
<td valign="middle" align="center">2.59 &#xb1; 0.1</td>
<td valign="middle" align="center">2.19 &#xb1; 0.3</td>
<td valign="middle" align="center">2.11 &#xb1; 0.5</td>
<td valign="middle" align="center">2.45 &#xb1; 0.5</td>
<td valign="middle" align="center">2.75 &#xb1; 0.8</td>
</tr>
<tr>
<td valign="middle" align="left">18:0</td>
<td valign="middle" align="center">0.53 &#xb1; 0.2 <sup>a</sup>
</td>
<td valign="middle" align="center">0.71 &#xb1; 0.2 <sup>a</sup>
</td>
<td valign="middle" align="center">0.58 &#xb1; 0.1 <sup>a</sup>
</td>
<td valign="middle" align="center">0.63 &#xb1; 0.2 <sup>a</sup>
</td>
<td valign="middle" align="center">0.98 &#xb1; 0.6 <sup>a</sup>
</td>
<td valign="middle" align="center">2.88 &#xb1; 0.7 <sup>b</sup>
</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">SFA<sup>1</sup>
</td>
<td valign="middle" rowspan="2" align="center">2.93 &#xb1; 0.6 <sup>a</sup>
</td>
<td valign="middle" rowspan="2" align="center">3.41 &#xb1; 0.2 <sup>a</sup>
</td>
<td valign="middle" rowspan="2" align="center">2.86 &#xb1; 0.4 <sup>a</sup>
</td>
<td valign="middle" rowspan="2" align="center">2.85 &#xb1; 0.6 <sup>a</sup>
</td>
<td valign="middle" rowspan="2" align="center">3.58 &#xb1; 1.1 <sup>a</sup>
</td>
<td valign="middle" rowspan="2" align="center">5.81 &#xb1; 1.4 <sup>b</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">18:1<italic>n</italic>-9</td>
<td valign="middle" align="center">1.09 &#xb1; 0.4</td>
<td valign="middle" align="center">1.66 &#xb1; 0.1</td>
<td valign="middle" align="center">1.22 &#xb1; 0.4</td>
<td valign="middle" align="center">1.18 &#xb1; 0.6</td>
<td valign="middle" align="center">1.39 &#xb1; 0.5</td>
<td valign="middle" align="center">1.59 &#xb1; 0.3</td>
</tr>
<tr>
<td valign="middle" align="left">18:1<italic>n</italic>-7</td>
<td valign="middle" align="center">0.33 &#xb1; 0.1</td>
<td valign="middle" align="center">0.53 &#xb1; 0.0</td>
<td valign="middle" align="center">0.34 &#xb1; 0.2</td>
<td valign="middle" align="center">0.34 &#xb1; 0.2</td>
<td valign="middle" align="center">0.44 &#xb1; 0.2</td>
<td valign="middle" align="center">0.36 &#xb1; 0.1</td>
</tr>
<tr>
<td valign="middle" align="left">MUFA<sup>2</sup>
</td>
<td valign="middle" align="center">1.51 &#xb1; 0.4</td>
<td valign="middle" align="center">2.37 &#xb1; 0.2</td>
<td valign="middle" align="center">1.69 &#xb1; 0.6</td>
<td valign="middle" align="center">1.64 &#xb1; 0.9</td>
<td valign="middle" align="center">1.95 &#xb1; 0.7</td>
<td valign="middle" align="center">2.16 &#xb1; 0.3</td>
</tr>
<tr>
<td valign="middle" align="left">18:2<italic>n</italic>-6</td>
<td valign="middle" align="center">0.26 &#xb1; 0.1</td>
<td valign="middle" align="center">0.33 &#xb1; 0.1</td>
<td valign="middle" align="center">0.20 &#xb1; 0.1</td>
<td valign="middle" align="center">0.22 &#xb1; 0.1</td>
<td valign="middle" align="center">0.26 &#xb1; 0.1</td>
<td valign="middle" align="center">0.34 &#xb1; 0.1</td>
</tr>
<tr>
<td valign="middle" align="left">18:3<italic>n</italic>-</td>
<td valign="middle" align="center">0.24 &#xb1; 0.1</td>
<td valign="middle" align="center">0.21 &#xb1; 0.1</td>
<td valign="middle" align="center">0.13 &#xb1; 0.1</td>
<td valign="middle" align="center">0.12 &#xb1; 0.1</td>
<td valign="middle" align="center">0.17 &#xb1; 0.1</td>
<td valign="middle" align="center">0.17 &#xb1; 0.04</td>
</tr>
<tr>
<td valign="middle" align="left">20:4<italic>n</italic>-6</td>
<td valign="middle" align="center">0.52 &#xb1; 0.1</td>
<td valign="middle" align="center">0.44 &#xb1; 0.1</td>
<td valign="middle" align="center">0.87 &#xb1; 0.5</td>
<td valign="middle" align="center">0.54 &#xb1; 0.2</td>
<td valign="middle" align="center">0.48 &#xb1; 0.3</td>
<td valign="middle" align="center">0.66 &#xb1; 0.3</td>
</tr>
<tr>
<td valign="middle" align="left">20:5<italic>n</italic>-3</td>
<td valign="middle" align="center">1.93 &#xb1; 0.3</td>
<td valign="middle" align="center">2.42 &#xb1; 0.2</td>
<td valign="middle" align="center">1.93 &#xb1; 0.7</td>
<td valign="middle" align="center">2.00 &#xb1; 0.7</td>
<td valign="middle" align="center">2.11 &#xb1; 0.5</td>
<td valign="middle" align="center">2.49 &#xb1; 0.2</td>
</tr>
<tr>
<td valign="middle" align="left">22:5<italic>n</italic>-3</td>
<td valign="middle" align="center">0.55 &#xb1; 0.1</td>
<td valign="middle" align="center">0.47 &#xb1; 0.1</td>
<td valign="middle" align="center">0.33 &#xb1; 0.2</td>
<td valign="middle" align="center">0.38 &#xb1; 0.2</td>
<td valign="middle" align="center">0.45 &#xb1; 0.2</td>
<td valign="middle" align="center">0.28 &#xb1; 0.1</td>
</tr>
<tr>
<td valign="middle" align="left">22:6<italic>n</italic>-3</td>
<td valign="middle" align="center">0.26 &#xb1; 0.1 <sup>a</sup>
</td>
<td valign="middle" align="center">0.45 &#xb1; 0.1 <sup>a,b</sup>
</td>
<td valign="middle" align="center">0.39 &#xb1; 0.1 <sup>a,b</sup>
</td>
<td valign="middle" align="center">0.48 &#xb1; 0.1 <sup>a,b</sup>
</td>
<td valign="middle" align="center">0.56 &#xb1; 0.1 <sup>b</sup>
</td>
<td valign="middle" align="center">0.87 &#xb1; 0.2 <sup>c</sup>
</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">PUFA<sup>3</sup>
</td>
<td valign="middle" rowspan="2" align="center">3.90 &#xb1; 0.5</td>
<td valign="middle" rowspan="2" align="center">4.46 &#xb1; 0.3</td>
<td valign="middle" rowspan="2" align="center">3.88 &#xb1; 1.0</td>
<td valign="middle" rowspan="2" align="center">3.74 &#xb1; 1.0</td>
<td valign="middle" rowspan="2" align="center">4.03 &#xb1; 0.6</td>
<td valign="middle" rowspan="2" align="center">4.95 &#xb1; 0.3</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>n</italic>-3</td>
<td valign="middle" align="center">3.08 &#xb1; 0.4</td>
<td valign="middle" align="center">3.69 &#xb1; 0.3</td>
<td valign="middle" align="center">2.81 &#xb1; 1.1</td>
<td valign="middle" align="center">2.98 &#xb1; 1.0</td>
<td valign="middle" align="center">3.29 &#xb1; 0.7</td>
<td valign="middle" align="center">3.88 &#xb1; 0.3</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>n</italic>-6</td>
<td valign="middle" align="center">0.81 &#xb1; 0.2</td>
<td valign="middle" align="center">0.77 &#xb1; 0.1</td>
<td valign="middle" align="center">1.07 &#xb1; 0.4</td>
<td valign="middle" align="center">0.76 &#xb1; 0.2</td>
<td valign="middle" align="center">0.73 &#xb1; 0.2</td>
<td valign="middle" align="center">1.07 &#xb1; 0.2</td>
</tr>
<tr>
<td valign="middle" align="left">
<italic>n</italic>-3/<italic>n</italic>-6</td>
<td valign="middle" align="center">3.96 &#xb1; 1.1</td>
<td valign="middle" align="center">4.83 &#xb1; 0.7</td>
<td valign="middle" align="center">3.20 &#xb1; 2.3</td>
<td valign="middle" align="center">4.02 &#xb1; 1.2</td>
<td valign="middle" align="center">4.85 &#xb1; 1.7</td>
<td valign="middle" align="center">3.76 &#xb1; 0.7</td>
</tr>
<tr>
<td valign="middle" align="left">EPA/DHA</td>
<td valign="middle" align="center">6.42 &#xb1; 1.4 <sup>a</sup>
</td>
<td valign="middle" align="center">5.68 &#xb1; 1.5 <sup>a</sup>
</td>
<td valign="middle" align="center">4.93 &#xb1; 0.9 <sup>a,b</sup>
</td>
<td valign="middle" align="center">4.51 &#xb1; 2.0 <sup>a,b</sup>
</td>
<td valign="middle" align="center">3.90 &#xb1; 1.1 <sup>a,b</sup>
</td>
<td valign="middle" align="center">2.94 &#xb1; 0.5 <sup>b</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">PUFA/SFA</td>
<td valign="middle" align="center">1.35 &#xb1; 0.1 <sup>a</sup>
</td>
<td valign="middle" align="center">1.31 &#xb1; 0.1 <sup>a</sup>
</td>
<td valign="middle" align="center">1.37 &#xb1; 0.3 <sup>a</sup>
</td>
<td valign="middle" align="center">1.30 &#xb1; 0.1 <sup>a</sup>
</td>
<td valign="middle" align="center">1.17 &#xb1; 0.2 a<sup>,b</sup>
</td>
<td valign="middle" align="center">0.89 &#xb1; 0.2 <sup>b</sup>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Only fatty acids accounting for at least 1% of the total pool of fatty acids in the offspring of all treatments surveyed are presented. <sup>1</sup>SFA &#x2013; saturated fatty acids: 14:0, 15:0, 16:0, 17:0, 18:0, and 20:0; <sup>2</sup>MUFA &#x2013; monounsaturated fatty acids: 16:1, 16:1<italic>n</italic>-7, 18:1<italic>n</italic>-9 18:1<italic>n</italic>-7, 20:1, and 20:1<italic>n</italic>-9; <sup>3</sup>PUFA &#x2013; polyunsaturated fatty acids: 18:2<italic>n</italic>-6, 18:3<italic>n</italic>-3, 20:2<italic>n</italic>-6, 20:3<italic>n</italic>-6, 20:4<italic>n</italic>-6, 20:3<italic>n</italic>-3, 20:4<italic>n</italic>-3, 20:5<italic>n</italic>-3, 22:5<italic>n</italic>-3 and 22:6<italic>n</italic>-3. Statistical differences (Tukey&#x2019;s pairwise comparisons, <italic>p</italic> &#x2264; 0.05) are indicated by different lower-case letters (a-c). Data are expressed as &#x3bc;g FA mg<sup>-1</sup> of sample dry weight and represent mean &#xb1; SD of five replicates (<italic>n</italic> = 5).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Concerning the univariate comparisons, there were significant differences in the abundance of stearic acid (18:0; <italic>F</italic>
<sub>5,24</sub> = 15.69, <italic>p</italic> &lt; 0.001) between the different treatments, with offspring from the wild showing an abundance four times greater on average of this FA than those originated from breeding pairs fed with a mono-specific macroalgal diet (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Moreover, the FA profile of wild offspring displayed a notable contribution of both EPA and DHA, although only DHA levels (0.87 &#xb1; 0.16 &#x3bc;g mg<sup>-1</sup> DW) were significantly higher (<italic>F</italic>
<sub>5,24</sub> = 13.64, <italic>p</italic> &lt; 0.001) when compared to offspring from breeding pairs fed with a mono-specific macroalgal diet (from 0.26 &#xb1; 0.09 to 0.56 &#xb1; 0.10 &#x3bc;g mg<sup>-1</sup> DW) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). As such, the EPA/DHA ratio significantly differed between treatments (<italic>F</italic>
<sub>5,24</sub> = 5.24, <italic>p</italic> = 0.006), being lower for offspring from the wild (2.94 &#xb1; 0.54) when compared to offspring from breeding pairs fed <italic>Ulva</italic> (6.42 &#xb1; 1.44) or <italic>Fucus</italic> (5.68 &#xb1; 1.48) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<p>PUFA was the most abundant FA class in offspring from breeding pairs fed with a mono-specific macroalgal diet (ranging from 3.74 &#xb1; 1.02 to 4.46 &#xb1; 0.31 &#x3bc;g mg<sup>-1</sup> DW). On the contrary, SFA was the most abundant FA class in the offspring of <italic>G. locusta</italic> from the wild (5.81 &#xb1; 1.4 &#x3bc;g mg<sup>-1</sup> DW) and ranged between 2.85 &#xb1; 0.58 and 3.58 &#xb1; 1.12 &#x3bc;g mg<sup>-1</sup> DW in offspring from breeding pairs fed the mono-specific macroalgal diets (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). Regardless of the treatment, MUFA was the least abundant FA class (ranging from 1.51 &#xb1; 0.44 to 2.37 &#xb1; 0.19 &#x3bc;g mg<sup>-1</sup> DW), with offspring from breeding pairs fed on <italic>Fucus</italic> exhibiting the highest levels of MUFA, mostly due to the high abundance of oleic acid (18:1<italic>n</italic>-9) in their FA profile (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). However, although the overall abundance of MUFA (<italic>F</italic>
<sub>5,24</sub> = 1.73, <italic>p</italic> = 0.165) and PUFA (<italic>F</italic>
<sub>5,24</sub> = 2.26, <italic>p</italic> = 0.081) were similar among treatments, the levels of SFA were significantly higher in wild offspring compared to conspecifics hatched from breeding pairs fed the mono-specific macroalgal diets (<italic>F</italic>
<sub>5,24</sub> = 8.61, <italic>p</italic> &lt; 0.001) (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). Consequently, the PUFA/SFA ratio for wild offspring was significantly lower than that of the other experimental groups (<italic>F</italic>
<sub>5,24</sub> = 4.48, <italic>p</italic> = 0.005), which exhibited ratios above 1 (due to a higher abundance of PUFA over SFA) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Finally, regardless of the treatment, <italic>G. locusta</italic> offspring always featured a greater abundance of <italic>n</italic>-3 rather than <italic>n</italic>-6 FAs, with the <italic>n</italic>-3/<italic>n</italic>-6 ratio being similar among the offspring of all experimental groups (<italic>F</italic>
<sub>5,24</sub> = 1.03, <italic>p</italic> = 0.421) and all of them exhibiting values above 1 (from 3.20 &#xb1; 2.26 to 4.85 &#xb1; 1.75) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Abundance of fatty acid classes in the offspring of <italic>Gammarus locusta</italic> from the wild and breeding pairs fed with five different macroalgal diets (<italic>Ulva</italic> sp., <italic>Fucus</italic> sp., <italic>Laminaria</italic> sp., <italic>Gracilaria</italic> sp., and <italic>Chondrus</italic> sp.) or in <italic>G. locusta</italic> offspring originated from broodstock retrieved from the wild. Data are expressed as &#x3bc;g mg<sup>-1</sup> DW and represent the mean &#xb1; SE of 5 replicates (<italic>n</italic> = 5). SFA &#x2013; saturated fatty acids; MUFA &#x2013; monounsaturated fatty acids; PUFA &#x2013; polyunsaturated fatty acids.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1621216-g006.tif">
<alt-text content-type="machine-generated">Bar charts comparing SFA, MUFA, and PUFA content across six diets: Ulva, Fucus, Laminaria, Gracilaria, Chondrus, and Wild. SFA shows the highest for Wild, while MUFA and PUFA levels are similar across diets, with slight variations.</alt-text>
</graphic>
</fig>
<p>The absolute differences recorded between the mean values of the most abundant FA identified in <italic>G. locusta</italic> offspring from breeding pairs fed mono-specific macroalgal diets, when contrasted with those of offspring from conspecifics from the wild, are displayed in <xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>. In general, offspring derived from breeding pairs fed mono-specific macroalgal diets displayed lower average abundances for most of the FAs when compared to offspring from the wild, as indicated by the negative values in the plot (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>). However, a few exceptions occurred for MUFA (18:1<italic>n</italic>-7 and 18:1<italic>n</italic>-9), with some levels being higher for <italic>Fucus</italic> and <italic>Chondrus</italic> treatments, and PUFA, with the levels of 18:3<italic>n</italic>-3 being slightly higher for <italic>Ulva</italic> and <italic>Laminaria</italic>, and the level of 20:4<italic>n</italic>-6 for offspring from breeding pairs fed with <italic>Fucus</italic>. Furthermore, 22:5<italic>n-</italic>3 was the single PUFA whose levels were consistently higher for offspring originating from breeding pairs fed a mono-specific macroalgal diet when compared with offspring from the wild (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>).</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Absolute differences in the most abundant fatty acids (i.e. those accounting for more than 1% of their relative abundance calculated for total fatty acid abundance in the samples) between <italic>Gammarus locusta</italic> offspring from breeding pairs fed with mono-specific macroalgal diets (<italic>Ulva</italic> sp., <italic>Fucus</italic> sp., <italic>Laminaria</italic> sp., <italic>Gracilaria</italic> sp. and <italic>Chondrus</italic> sp.) and offspring from conspecifics from the wild. Bars represent the variation in the mean absolute abundance of the fatty acid (expressed as &#xb5;g mg<sup>&#x2212;1</sup> DW) relative to offspring of conspecifics from the wild. Negative values indicate lower levels in macroalgae-fed treatments when compared to offspring of conspecifics from the wild, while positive values indicate higher levels. The dashed blue line set at 0 represents the baseline level of fatty acids for the offspring of <italic>G. locusta</italic> from the wild.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1621216-g007.tif">
<alt-text content-type="machine-generated">Bar chart showing the difference in fatty acid abundance (micrograms per milligram of dry weight) across various diets, including Ulva, Fucus, Laminaria, Gracilaria, and Chondrus. Each colored bar represents a different diet, with fatty acids listed on the x-axis and differences in abundance on the y-axis.</alt-text>
</graphic>
</fig>
</sec>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Recently, gammarids have gained attention for their promising nutritional profile as a new ingredient/supplement for aquafeeds (<xref ref-type="bibr" rid="B5">Baeza-Rojano et&#xa0;al., 2013</xref>, <xref ref-type="bibr" rid="B6">2014</xref>; <xref ref-type="bibr" rid="B19">Jim&#xe9;nez-Prada et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B40">Ribes-Navarro et&#xa0;al., 2022</xref>). Their ease of cultivation under different feeding substrates, including agricultural and aquaculture side-streams, further highlights their potential for the sustainable production of formulated feeds (<xref ref-type="bibr" rid="B1">Alberts-Hubatsch et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B20">Jim&#xe9;nez-Prada et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B40">Ribes-Navarro et&#xa0;al., 2022</xref>). However, few studies have examined the influence of gammarid diets on their FA composition, therefore limiting our understanding of how it can shape their nutritional profile (<xref ref-type="bibr" rid="B1">Alberts-Hubatsch et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B40">Ribes-Navarro et&#xa0;al., 2022</xref>). Additionally, to the author&#x2019;s knowledge, no study has ever addressed the potential effects of diets on subsequent generations of these crustaceans. To address this gap, the present study determined the FA composition of <italic>G. locusta</italic> offspring from breeding pairs supplied mono-specific macroalgal diets and compared it to wild conspecifics, aiming to assess the impact of parental diets on the nutritional FA profile of their offspring.</p>
<p>Breeding pairs from the wild exhibited larger and heavier broods than conspecifics supplied with mono-specific macroalgal diets. Our findings align with those from previous studies that suggest that natural diets provide greater nutritional value to marine amphipods than mono-specific diets (<xref ref-type="bibr" rid="B40">Ribes-Navarro et&#xa0;al., 2022</xref>). Potential causes for varying brood sizes may include the limitation and/or exhaustion of some essential nutrients (<xref ref-type="bibr" rid="B26">Mccabe and Dunn, 1994</xref>), reinforcing previous research indicating that amphipods benefit from enhanced reproductive metabolism when provided with nutritionally rich and diverse feeding substrates (<xref ref-type="bibr" rid="B10">Clarke et&#xa0;al., 1985</xref>).</p>
<p>Concerning the macroalgae provided as diets, their FA relative content in the total FA composition was, in general, well-aligned with previous studies. Nevertheless, some apparent differences may be pointed out, as the values of EPA found in the red macroalgae employed in the present study (<italic>G. gracilis</italic> and <italic>C. crispus</italic>) were higher than those previously reported in the literature (<xref ref-type="bibr" rid="B27">Melo et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B13">Da Costa et&#xa0;al., 2017</xref>). <italic>Ulva</italic> sp. and the two brown macroalgae (<italic>Fucus</italic> sp. and <italic>Laminaria</italic> sp.) also displayed a similar composition when compared to other research (<xref ref-type="bibr" rid="B46">Schmid et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B22">Lorenzo et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B25">Marques et&#xa0;al., 2021</xref>), except for the higher values recorded in the present study for linolenic acid (18:3<italic>n</italic>-3) and oleic acid (18:1<italic>n</italic>-9), respectively.</p>
<p>Conversely to what has been described for <italic>G. locusta</italic> cultured with macroalgae and analysed at sexual maturity (<xref ref-type="bibr" rid="B1">Alberts-Hubatsch et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B40">Ribes-Navarro et&#xa0;al., 2022</xref>), offspring from breeding pairs fed the mono-specific macroalgal diets showed a similar FA composition between them, regardless of broodstock diet, with the sole exception being for <italic>Ulva</italic> and <italic>Fucus</italic>. The sole comparison that can be performed with our study in terms of newly hatched offspring is that with <italic>Gammarus oceanicus</italic>, with offspring hatching in the spring or in the winter (<xref ref-type="bibr" rid="B10">Clarke et&#xa0;al., 1985</xref>). In our study, newly hatched <italic>G. locusta</italic> from breeding pairs fed a mono-specific macroalgal diet displayed higher values of linolenic acid (18:3<italic>n</italic>-3), arachidonic acid (20:4<italic>n</italic>-6) and EPA, but not for DHA, which was found in higher concentration only in newly hatched conspecifics from the wild when compared to winter-born <italic>G. oceanicus</italic>. These results suggest that, despite diet being an important driver in the modulation of the FA composition of <italic>G. locusta</italic> (<xref ref-type="bibr" rid="B40">Ribes-Navarro et&#xa0;al., 2022</xref>), this species appears to display a selective retention and utilisation of some dietary FA, particularly LC-PUFA, which are known to be essential for their growth and reproduction (<xref ref-type="bibr" rid="B10">Clarke et&#xa0;al., 1985</xref>). This is most relevant for DHA, as this FA is paramount for nervous system function and plays a key role in the development of marine organisms (<xref ref-type="bibr" rid="B50">Tocher et&#xa0;al., 2019</xref>), with its incorporation influencing the cell membrane&#x2019;s fluidity and permeability (<xref ref-type="bibr" rid="B48">Stillwell and Wassall, 2003</xref>). Indeed, as DHA and EPA play an important role in crustacean development and moulting, their requirements are most likely higher during early life stages, as these are known to moult more frequently to allow somatic growth (<xref ref-type="bibr" rid="B51">Wang et&#xa0;al., 2021</xref>). In a study with a freshwater gammarid species, <italic>Pallaseopsis quadrispinosa</italic>, <xref ref-type="bibr" rid="B49">Taipale et&#xa0;al. (2021)</xref> showed that, when starved for 12 days, EPA and DHA appeared to be preferentially retained, most likely to maintain cell membrane functions. Therefore, <italic>P. quadrispinosa</italic> do seem to be able to preserve physiologically essential FAs when nutritionally limited by their diet (<xref ref-type="bibr" rid="B49">Taipale et&#xa0;al., 2021</xref>). As such, it would not be surprising if <italic>G. locusta</italic> displayed a similar adaptation to safeguard survival. Under nutrient limitation, breeding pairs likely conserved or biosynthesised a baseline level of essential LC-PUFAs (<xref ref-type="bibr" rid="B1">Alberts-Hubatsch et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B49">Taipale et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B40">Ribes-Navarro et&#xa0;al., 2022</xref>), such as DHA, which was transmitted to the offspring, despite its absence from the parental diets (<xref ref-type="bibr" rid="B27">Melo et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B46">Schmid et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B13">Da Costa et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B22">Lorenzo et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B25">Marques et&#xa0;al., 2021</xref>). This may explain the lack of significant differences in the FA profiles of <italic>G. locusta</italic> offspring across macroalgal treatments. Parental nutrition is known to be a potential driver for the occurrence of carry-over (or latent) effects, which can shape offspring performance post-hatching (<xref ref-type="bibr" rid="B8">Calado and Leal, 2015</xref>). Briefly, carry-over effects can be defined as traits that have their origin during the development history of an organism (e.g., during embryonic development in <italic>G. locusta</italic>, as it displays no larval stages) that commonly stay latent for a given period and subsequently re-emerge at juvenile and/or adult stages (<xref ref-type="bibr" rid="B34">Pechenik, 2006</xref>). Maternal investment is particularly important in species featuring direct development (as displayed by <italic>G. locusta</italic>), as the energetic burden of this reproductive strategy is commonly higher than when species hatch as a less developed larval stage. Moreover, when breeding pairs of a species that exhibits direct development are exposed to nutritional constraints (such as the mono-specific macroalgal diets tested in our study), it may not be possible for them to successfully allocate all the nutrients required to ensure an optimal growth performance and survival of their offspring. As such, future studies should document the post-hatching performance of <italic>G. locusta</italic> offspring hatching from breeding pairs fed on mono-specific macroalgal diets, as it would not be surprising to detect the occurrence of carry-over effects. Moreover, given the short time required to produce sexually mature <italic>G. locusta</italic> in the laboratory from newly hatched specimens (two to three months), the potential existence of transgenerational effects should also be investigated, as such traits remain poorly elucidated (<xref ref-type="bibr" rid="B8">Calado and Leal, 2015</xref>).</p>
<p>The findings of our present study appear to support the hypothesis that females may rely on endogenous biosynthetic pathways to maintain a stable FA provisioning to their offspring (<xref ref-type="bibr" rid="B1">Alberts-Hubatsch et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B40">Ribes-Navarro et&#xa0;al., 2022</xref>), thus ensuring that the energetic demands of reproduction are met either through food intake or the catabolism of energy reserves (<xref ref-type="bibr" rid="B10">Clarke et&#xa0;al., 1985</xref>). The potential capacity of gammarids for trophic upgrading has already been put forward by several authors (<xref ref-type="bibr" rid="B19">Jim&#xe9;nez-Prada et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B1">Alberts-Hubatsch et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B20">Jim&#xe9;nez-Prada et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B40">Ribes-Navarro et&#xa0;al., 2022</xref>), suggesting that these crustaceans do feature the ability to bioconvert shorter-chain and more saturated FA present in macroalgae into LC-PUFA (<xref ref-type="bibr" rid="B40">Ribes-Navarro et&#xa0;al., 2022</xref>). The gene expression and the closely linked function of two different types of enzymes, such as desaturases and elongases, are particularly important for the biosynthesis of LC-PUFA (<xref ref-type="bibr" rid="B29">Monroig et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B28">Monroig and Kabeya, 2018</xref>; <xref ref-type="bibr" rid="B40">Ribes-Navarro et&#xa0;al., 2022</xref>). Nevertheless, the presence and activity of front-end desaturases in marine gammarid amphipods remains unclear (<xref ref-type="bibr" rid="B42">Ribes-Navarro et&#xa0;al., 2021</xref>, <xref ref-type="bibr" rid="B41">2023</xref>), with the metabolic pathway(s) that allow the biosynthesis of LC-PUFA yet to be clarified. A recent investigation on the brine shrimp <italic>Artemia franciscana</italic> addressed the presence of desaturases that operate only on C<sub>18</sub> FAs, with limited ability to target LC-PUFA (<xref ref-type="bibr" rid="B36">Ramos-Llorens et&#xa0;al., 2023</xref>). Another study on three distinct elongases in the marine gammarid species <italic>Marinogammarus marinus</italic> suggests that these may be able to produce LC-PUFA endogenously, although they also lack the front-end desaturases that produce key LC-PUFAs such as DHA (<xref ref-type="bibr" rid="B42">Ribes-Navarro et&#xa0;al., 2021</xref>). On the other hand, gammarids can also be associated with other organisms which feature essential enzymes that play a role in the biosynthesis of LC-PUFA, such as epibiont rotifers associating with freshwater <italic>Gammarus</italic> sp (<xref ref-type="bibr" rid="B41">Ribes-Navarro et&#xa0;al., 2023</xref>). Overall, the pathway that allows marine gammarids, such as <italic>M. marinus</italic> and <italic>G. locusta</italic> to perform a trophic upgrade of their diet by biosynthesising LC-PUFA remains elusive, as the presence of genes encoding front-end desaturases that allow the biosynthesis of certain LC-PUFA is yet to be recorded in their genome (<xref ref-type="bibr" rid="B42">Ribes-Navarro et&#xa0;al., 2021</xref>, <xref ref-type="bibr" rid="B41">2023</xref>).</p>
<p>From a production point of view, the findings of the present study underscore the need to refine broodstock diets to optimise the reproductive yield of gammarid amphipods, as indicated by the low number of specimens per brood and low DW obtained from breeding pairs supplied mono-specific macroalgal diets. Nonetheless, it is worth highlighting that the FA composition of gammarid amphipods is nutritionally adequate for several aquaculture applications (<xref ref-type="bibr" rid="B5">Baeza-Rojano et&#xa0;al., 2013</xref>, <xref ref-type="bibr" rid="B6">2014</xref>; <xref ref-type="bibr" rid="B19">Jim&#xe9;nez-Prada et&#xa0;al., 2018</xref>, <xref ref-type="bibr" rid="B20">2020</xref>; <xref ref-type="bibr" rid="B1">Alberts-Hubatsch et&#xa0;al., 2019</xref>), even under nutritionally limited conditions such as the use of mono-specific macroalgal diets or when fed with non-marine side streams (<xref ref-type="bibr" rid="B1">Alberts-Hubatsch et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B40">Ribes-Navarro et&#xa0;al., 2022</xref>). Future research should explore the potential effects of mono-specific diets over consecutive generations of <italic>G. locusta</italic>, investigating the potential existence of nutritional programming, as well as evaluating the use of non-marine diets, such as agricultural co-products/side streams, to further enhance the circularity of their large-scale production.</p>
<p>In conclusion, our study revealed that the offspring of <italic>G. locusta</italic> hatching from parental organisms fed on mono-specific macroalgal diets always displayed DHA on their fatty acid profiles, regardless of the absence of this <italic>n</italic>-3 LC-PUFA on parental diets. Moreover, the offspring from wild <italic>G. locusta</italic> always showed higher levels of PUFA, as well as DHA, opening a window of opportunity to improve parental diets based on macroalgae that can be used in the farming of marine gammarid amphipods. Further research is needed to fully elucidate the mechanisms underlying the trophic upgrade performed by marine gammarid amphipods when supplied with diets that feature little or even no LC-PUFA, namely EPA and DHA. Testing different mono-specific and multi-specific diets, from both marine and non-marine origins, while also investigating the potential existence of nutritional programming, will allow advancing the state of the art of marine gammarid amphipods&#x2019; large-scale production. Moreover, by complementing these actions with the selective breeding of specimens that allow to establish lineages that can either match or even over-perform conspecifics in the wild in terms of reproductive output and FA content, one can truly unleash the potential of marine gammarid amphipods for the formulation of high-quality aquaculture feeds.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The manuscript presents research on animals that do not require ethical approval for their study.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>JS: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. LM: Data curation, Formal Analysis, Supervision, Validation, Visualization, Writing &#x2013; review &amp; editing. DPR: Data curation, Formal Analysis, Supervision, Validation, Visualization, Writing &#x2013; review &amp; editing. FR: Software, Writing &#x2013; review &amp; editing, Data curation, Formal Analysis, Funding acquisition, Methodology, Supervision, Validation, Visualization. MA: Conceptualization, Investigation, Methodology, Writing &#x2013; review &amp; editing. RCD: Resources, Supervision, Validation, Visualization, Writing &#x2013; review &amp; editing. MRMD: Data curation, Formal Analysis, Software, Validation, Visualization, Writing &#x2013; review &amp; editing. RC: Conceptualization, Funding acquisition, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This study was performed under the scope of the project &#x201c;PUFAPODS: Merging blue and green food systems - Using marine gammarid amphipods supplied with plant food processing side streams to produce n-3 LC-PUFA&#x201d;, which is supported by FCT/MEC (<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.54499/2022.01620.PTDC">https://doi.org/10.54499/2022.01620.PTDC</ext-link>) and project &#x201c;BLUE BIOECONOMY PACT&#x201d; (Project N&#xb0;. C644915664-00000026), co-funded by the Next Generation EU European Fund, under the incentive line &#x201c;Agendas for Business Innovation&#x201d; within Component 5&#x2014;Capitalization and Business Innovation of the Portuguese Recovery and Resilience Plan (RRP), specifically under the vertical WP7 &#x2013; Fish (LowTrophAqua). We thank the University of Aveiro, Funda&#xe7;&#xe3;o para a Ci&#xea;ncia e Tecnologia (FCT), and Minist&#xe9;rio da Ci&#xea;ncia Tecnologia e Ensino Superior (MCTES) for financial support to the research units UID Centro de Estudos do Ambiente e Mar (CESAM) + LA/P/0094/2020 and UID/50006 -Laborat&#xf3;rio Associado para a Qu&#xed;mica Verde - Tecnologias e Processos Limpos. The authors acknowledge FCT/MCTES for individual funding in the scope of the Individual Call to Scientific Employment Stimulus (CEECIND/00580/2017 to Felisa Rey (<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.54499/CEECIND/00580/2017/CP1459/CT0005">https://doi.org/10.54499/CEECIND/00580/2017/CP1459/CT0005</ext-link>).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We acknowledge Maria Adelaide Salvador for the help with the lipid extractions and fatty acid analysis methodology. We thank Sim&#xe3;o Maia for helping with the fatty acid analysis software and for his expertise on laboratory techniques, data organisation and presentation. The authors would like to thank two reviewers for their constructive criticism of the original version of our manuscript.</p>
</ack>
<sec id="s9" 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>
</sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</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.2025.1621216/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2025.1621216/full#supplementary-material</ext-link>.</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Alberts-Hubatsch</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Slater</surname> <given-names>M. J.</given-names>
</name>
<name>
<surname>Beermann</surname> <given-names>J.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Effect of diet on growth, survival and fatty acid profile of marine amphipods: implications for utilisation as a feed ingredient for sustainable aquaculture</article-title>. <source>Aquaculture Environ. Interact.</source> <volume>11</volume>, <fpage>481</fpage>&#x2013;<lpage>491</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3354/AEI00329</pub-id>
</citation></ref>
<ref id="B2">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>&#xc1;lvarez</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Fontanillas</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Hern&#xe1;ndez-Contreras</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Hern&#xe1;ndez</surname> <given-names>M. D.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Partial replacement of fish oil with vegetal oils in commercial diets: The effect on the quality of gilthead seabream (Sparus aurata)</article-title>. <source>Anim. Feed Sci. Technol.</source> <volume>265</volume>, <elocation-id>114504</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.anifeedsci.2020.114504</pub-id>
</citation></ref>
<ref id="B3">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Anderson</surname> <given-names>M. J.</given-names>
</name>
</person-group> (<year>2001</year>). <article-title>A new method for non-parametric multivariate analysis of variance</article-title>. <source>Austral Ecol.</source> <volume>26</volume>, <fpage>32</fpage>&#x2013;<lpage>46</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/J.1442-9993.2001.01070.PP.X</pub-id>
</citation></ref>
<ref id="B4">
<citation citation-type="web">
<person-group person-group-type="author">
<name>
<surname>Arbizu</surname> <given-names>P. M.</given-names>
</name>
</person-group> (<year>2017</year>). <source>Pairwise Multilevel Comparison using Adonis</source>. Available online at: <uri xlink:href="https://Github.Com/Pmartinezarbizu/PairwiseAdonis">https://Github.Com/Pmartinezarbizu/PairwiseAdonis</uri> (Accessed <access-date>April 15, 2017</access-date>).</citation></ref>
<ref id="B5">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Baeza-Rojano</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Domingues</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Guerra-Garc&#xed;a</surname> <given-names>J. M.</given-names>
</name>
<name>
<surname>Capella</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Nore&#xf1;a-Barroso</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Caamal-Monsreal</surname> <given-names>C.</given-names>
</name>
<etal/>
</person-group>. (<year>2013</year>). <article-title>Marine gammarids (crustacea: Amphipoda): A new live prey to culture <italic>Octopus maya</italic> hatchlings</article-title>. <source>Aquaculture Res.</source> <volume>44</volume>, <fpage>1602</fpage>&#x2013;<lpage>1612</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/j.1365-2109.2012.03169.x</pub-id>
</citation></ref>
<ref id="B6">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Baeza-Rojano</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Hachero-Cruzado</surname> <given-names>I.</given-names>
</name>
<name>
<surname>Guerra-Garc&#xed;a</surname> <given-names>J. M.</given-names>
</name>
</person-group> (<year>2014</year>). <article-title>Nutritional analysis of freshwater and marine amphipods from the Strait of Gibraltar and potential aquaculture applications</article-title>. <source>J. Sea Res.</source> <volume>85</volume>, <fpage>29</fpage>&#x2013;<lpage>36</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.seares.2013.09.007</pub-id>
</citation></ref>
<ref id="B7">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bligh</surname> <given-names>E. G.</given-names>
</name>
<name>
<surname>Dyer</surname> <given-names>W. J.</given-names>
</name>
</person-group> (<year>1959</year>). <article-title>A rapid method of total lipid extraction and purification</article-title>. <source>Can. J. Biochem. Physiol.</source> <volume>37</volume>, <fpage>911</fpage>&#x2013;<lpage>917</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1139/o59-099</pub-id>, PMID: <pub-id pub-id-type="pmid">13671378</pub-id></citation></ref>
<ref id="B8">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Calado</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Leal</surname> <given-names>M. C.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>Trophic ecology of benthic marine invertebrates with bi-phasic life cycles: what are we still missing</article-title>? <source>Adv. Mar. Biol.</source> <volume>71</volume>, <fpage>1</fpage>&#x2013;<lpage>70</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/bs.amb.2015.07.001</pub-id>, PMID: <pub-id pub-id-type="pmid">26320615</pub-id></citation></ref>
<ref id="B9">
<citation citation-type="web">
<person-group person-group-type="author">
<name>
<surname>Christie</surname> <given-names>W. W.</given-names>
</name>
</person-group> (<year>2023</year>). <source>The lipidweb</source>. Available online at: <uri xlink:href="https://www.lipidmaps.org/resources/lipidweb/index.php?page=ms/methesters/me-arch/index.htm">https://www.lipidmaps.org/resources/lipidweb/index.php?page=ms/methesters/me-arch/index.htm</uri> (Accessed <access-date>November 15, 2023</access-date>).</citation></ref>
<ref id="B10">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Clarke</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Skadsheim</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Holmes</surname> <given-names>L. J.</given-names>
</name>
</person-group> (<year>1985</year>). <article-title>Lipid biochemistry and reproductive biology in two species of Gammaridae (Crustacea: Amphipoda)</article-title>. <source>Mar. Biol.</source> <volume>88</volume>, <fpage>247</fpage>&#x2013;<lpage>263</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/BF00392587</pub-id>
</citation></ref>
<ref id="B11">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Costa</surname> <given-names>F. O.</given-names>
</name>
<name>
<surname>Costa</surname> <given-names>M. H.</given-names>
</name>
</person-group> (<year>2000</year>). <article-title>Review of the ecology of <italic>Gammarus locusta</italic> (L.)</article-title>. <source>Polskie Archiwum Hydrobiologii</source> <volume>47</volume>, <fpage>541</fpage>&#x2013;<lpage>559</lpage>.</citation></ref>
<ref id="B12">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cottrell</surname> <given-names>R. S.</given-names>
</name>
<name>
<surname>Blanchard</surname> <given-names>J. L.</given-names>
</name>
<name>
<surname>Halpern</surname> <given-names>B. S.</given-names>
</name>
<name>
<surname>Metian</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Froehlich</surname> <given-names>H. E.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Global adoption of novel aquaculture feeds could substantially reduce forage fish demand by 2030</article-title>. <source>Nat. Food</source> <volume>1</volume>, <fpage>301</fpage>&#x2013;<lpage>308</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s43016-020-0078-x</pub-id>
</citation></ref>
<ref id="B13">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Da Costa</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Melo</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Moreira</surname> <given-names>A. S. P.</given-names>
</name>
<name>
<surname>Bernardo</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Helguero</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Ferreira</surname> <given-names>I.</given-names>
</name>
<etal/>
</person-group>. (<year>2017</year>). <article-title>Valorization of lipids from Gracilaria sp. through lipidomics and decoding of antiproliferative and anti-inflammatory activity</article-title>. <source>Mar. Drugs</source> <volume>15</volume>, <fpage>62</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/md15030062</pub-id>, PMID: <pub-id pub-id-type="pmid">28257116</pub-id></citation></ref>
<ref id="B14">
<citation citation-type="book">
<person-group person-group-type="author">
<collab>FAO</collab>
</person-group> (<year>2024</year>). &#x201c;<article-title>The state of world fisheries and aquaculture 2024</article-title>,&#x201d; in <source>The state of world fisheries and aquaculture</source> (<publisher-loc>Rome</publisher-loc>: <publisher-name>FAO</publisher-name>). doi:&#xa0;<pub-id pub-id-type="doi">10.4060/cd0683en</pub-id>
</citation></ref>
<ref id="B15">
<citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Glencross</surname> <given-names>B. D.</given-names>
</name>
<name>
<surname>Bachis</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Betancor</surname> <given-names>M. B.</given-names>
</name>
<name>
<surname>Calder</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Liland</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Newton</surname> <given-names>R.</given-names>
</name>
<etal/>
</person-group>. (<year>2024</year>). <article-title>Omega-3 futures in aquaculture: exploring the supply and demands for long-chain omega-3 essential fatty acids by aquaculture species</article-title>. <source>Review Fisheries Sci. Aquaculture.</source> <volume>33</volume> (<issue>2</issue>), <fpage>167</fpage>&#x2013;<lpage>216</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/23308249.2024.2388563</pub-id>
</citation></ref>
<ref id="B16">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Glencross</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Fracalossi</surname> <given-names>D. M.</given-names>
</name>
<name>
<surname>Hua</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Izquierdo</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Mai</surname> <given-names>K.</given-names>
</name>
<name>
<surname>&#xd8;verland</surname> <given-names>M.</given-names>
</name>
<etal/>
</person-group>. (<year>2023</year>). <article-title>Harvesting the benefits of nutritional research to address global challenges in the 21st century</article-title>. <source>J. World Aquaculture Soc.</source> <volume>54</volume>, <fpage>343</fpage>&#x2013;<lpage>363</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/jwas.12948</pub-id>
</citation></ref>
<ref id="B17">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Harl&#x131;o&#x11f;lu</surname> <given-names>M. M.</given-names>
</name>
<name>
<surname>Farhadi</surname> <given-names>A.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Importance of <italic>gammarus</italic> in aquaculture</article-title>. <source>Aquaculture Int.</source> <volume>26</volume>, <fpage>1327</fpage>&#x2013;<lpage>1338</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s10499-018-0287-6</pub-id>
</citation></ref>
<ref id="B18">
<citation citation-type="web">
<person-group person-group-type="author">
<name>
<surname>Horton</surname> <given-names>T.</given-names>
</name>
</person-group> (<year>2023</year>). <source>WoRMS - world register of marine species</source>. Available online at: <uri xlink:href="https://www.marinespecies.org/aphia.php?p=taxdetails&amp;id=102303">https://www.marinespecies.org/aphia.php?p=taxdetails&amp;id=102303</uri> (Accessed <access-date>March 30, 2023</access-date>).</citation></ref>
<ref id="B19">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jim&#xe9;nez-Prada</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Hachero-Cruzado</surname> <given-names>I.</given-names>
</name>
<name>
<surname>Gir&#xe1;ldez</surname> <given-names>I.</given-names>
</name>
<name>
<surname>Fern&#xe1;ndez-Diaz</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Vilas</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Ca&#xf1;avate</surname> <given-names>J. P.</given-names>
</name>
<etal/>
</person-group>. (<year>2018</year>). <article-title>Crustacean amphipods from marsh ponds: A nutritious feed resource with potential for application in Integrated Multi-Trophic Aquaculture</article-title>. <source>PeerJ</source> <volume>2018</volume>, <fpage>4194</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.7717/peerj.4194</pub-id>, PMID: <pub-id pub-id-type="pmid">29340233</pub-id></citation></ref>
<ref id="B20">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jim&#xe9;nez-Prada</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Hachero-Cruzado</surname> <given-names>I.</given-names>
</name>
<name>
<surname>Guerra-Garc&#xed;a</surname> <given-names>J. M.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Aquaculture waste as food for amphipods: the case of <italic>Gammarus insensibilis</italic> in marsh ponds from southern Spain</article-title>. <source>Aquaculture Int.</source> <volume>29</volume>, <fpage>139</fpage>&#x2013;<lpage>153</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s10499-020-00615-z</pub-id>
</citation></ref>
<ref id="B21">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lenth</surname> <given-names>R. V.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>emmeans: estimated marginal means, aka least-squares means</article-title>. <source>CRAN: Contributed Packages</source>. doi:&#xa0;<pub-id pub-id-type="doi">10.32614/CRAN.PACKAGE.EMMEANS</pub-id>
</citation></ref>
<ref id="B22">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lorenzo</surname> <given-names>J. M.</given-names>
</name>
<name>
<surname>Agreg&#xe1;n</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Munekata</surname> <given-names>P. E. S.</given-names>
</name>
<name>
<surname>Franco</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Carballo</surname> <given-names>J.</given-names>
</name>
<name>
<surname>&#x15e;ahin</surname> <given-names>S.</given-names>
</name>
<etal/>
</person-group>. (<year>2017</year>). <article-title>Proximate composition and nutritional value of three macroalgae: <italic>Ascophyllum nodosum</italic>, <italic>Fucus vesiculosus</italic> and <italic>Bifurcaria bifurcata</italic>
</article-title>. <source>Mar. Drugs</source> <volume>15</volume>, <elocation-id>360</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/md15110360</pub-id>, PMID: <pub-id pub-id-type="pmid">29140261</pub-id></citation></ref>
<ref id="B23">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>L&#xfc;decke</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Ben-Shachar</surname> <given-names>M. S.</given-names>
</name>
<name>
<surname>Patil</surname> <given-names>I.</given-names>
</name>
<name>
<surname>Waggoner</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Makowski</surname> <given-names>D.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>performance: an R package for assessment, comparison and testing of statistical models</article-title>. <source>J. Open Source Software</source> <volume>6</volume>, <elocation-id>3139</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.21105/JOSS.03139</pub-id>
</citation></ref>
<ref id="B24">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Maia</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Rey</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Domingues</surname> <given-names>M. R.</given-names>
</name>
<name>
<surname>Figueira</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Dupont</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Leandro</surname> <given-names>S. M.</given-names>
</name>
<etal/>
</person-group>. (<year>2025</year>). <article-title>Fatty acid profile of newly extruded embryos of brown crab (Cancer pagurus) and potential value of their lipids for human consumption</article-title>. <source>Appl. Food Res.</source> <volume>5</volume>, <elocation-id>100773</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/J.AFRES.2025.100773</pub-id>
</citation></ref>
<ref id="B25">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Marques</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Domingues</surname> <given-names>M. R.</given-names>
</name>
<name>
<surname>da Costa</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Abreu</surname> <given-names>M. H.</given-names>
</name>
<name>
<surname>Lilleb&#xf8;</surname> <given-names>A. I.</given-names>
</name>
<name>
<surname>Calado</surname> <given-names>R.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Screening for health-promoting fatty acids in ascidians and seaweeds grown under the influence of fish farming activities</article-title>. <source>Mar. Drugs</source> <volume>19</volume>, <elocation-id>469</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/md19080469</pub-id>, PMID: <pub-id pub-id-type="pmid">34436308</pub-id></citation></ref>
<ref id="B26">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mccabe</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Dunn</surname> <given-names>A. M.</given-names>
</name>
</person-group> (<year>1994</year>). <article-title>Is resource partitioning among offspring a response to brood sex ratio in an amphipod with environmental sex determination</article-title>? <source>Oikos</source> <volume>69</volume>, <fpage>203</fpage>&#x2013;<lpage>206</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2307/3546139</pub-id>
</citation></ref>
<ref id="B27">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Melo</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Alves</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Azevedo</surname> <given-names>V.</given-names>
</name>
<name>
<surname>Martins</surname> <given-names>A. S.</given-names>
</name>
<name>
<surname>Neves</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Domingues</surname> <given-names>P.</given-names>
</name>
<etal/>
</person-group>. (<year>2015</year>). <article-title>Lipidomics as a new approach for the bioprospecting of marine macroalgae - unraveling the polar lipid and fatty acid composition of <italic>Chondrus crispus</italic>
</article-title>. <source>Algal Res.</source> <volume>8</volume>, <fpage>181</fpage>&#x2013;<lpage>191</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.algal.2015.02.016</pub-id>
</citation></ref>
<ref id="B28">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Monroig</surname> <given-names>&#xd3;.</given-names>
</name>
<name>
<surname>Kabeya</surname> <given-names>N.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Desaturases and elongases involved in polyunsaturated fatty acid biosynthesis in aquatic invertebrates: a comprehensive review</article-title>. <source>Fisheries Sci.</source> <volume>84</volume>, <fpage>911</fpage>&#x2013;<lpage>928</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s12562-018-1254-x</pub-id>
</citation></ref>
<ref id="B29">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Monroig</surname>
</name>
<name>
<surname>Shu-Chien</surname> <given-names>A. C.</given-names>
</name>
<name>
<surname>Kabeya</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Tocher</surname> <given-names>D. R.</given-names>
</name>
<name>
<surname>Castro</surname> <given-names>L. F. C.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Desaturases and elongases involved in long-chain polyunsaturated fatty acid biosynthesis in aquatic animals: From genes to functions</article-title>. <source>Prog. Lipid Res.</source> <volume>86</volume>, <elocation-id>101157</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.plipres.2022.101157</pub-id>, PMID: <pub-id pub-id-type="pmid">35104467</pub-id></citation></ref>
<ref id="B30">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Napier</surname> <given-names>J. A.</given-names>
</name>
<name>
<surname>Betancor</surname> <given-names>M. B.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Engineering plant-based feedstocks for sustainable aquaculture</article-title>. <source>Curr. Opin. Plant Biol.</source> <volume>1</volume>, <elocation-id>102323</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.pbi.2022.102323</pub-id>, PMID: <pub-id pub-id-type="pmid">36508933</pub-id></citation></ref>
<ref id="B31">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Naylor</surname> <given-names>R. L.</given-names>
</name>
<name>
<surname>Hardy</surname> <given-names>R. W.</given-names>
</name>
<name>
<surname>Buschmann</surname> <given-names>A. H.</given-names>
</name>
<name>
<surname>Bush</surname> <given-names>S. R.</given-names>
</name>
<name>
<surname>Cao</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Klinger</surname> <given-names>D. H.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>A 20-year retrospective review of global aquaculture</article-title>. <source>Nature</source> <volume>591</volume>, <fpage>551</fpage>&#x2013;<lpage>563</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41586-021-03308-6</pub-id>, PMID: <pub-id pub-id-type="pmid">33762770</pub-id></citation></ref>
<ref id="B32">
<citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Oksanen</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Simpson</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Blanchet</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Kindt</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Legendre</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Minchin</surname> <given-names>P.</given-names>
</name>
<etal/>
</person-group>. (<year>2025</year>). &#x201c;<article-title>&#x2026;</article-title>,&#x201d; in <source>Package &#x201c;vegan&#x201d; Title community ecology package</source>. Available online at: <uri xlink:href="https://github.com/vegandevs/vegan">https://github.com/vegandevs/vegan</uri> (Accessed <access-date>April 15, 2025</access-date>).</citation></ref>
<ref id="B33">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Paradis</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Schliep</surname> <given-names>K.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R</article-title>. <source>Bioinformatics</source> <volume>35</volume>, <fpage>526</fpage>&#x2013;<lpage>528</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/bioinformatics/bty633</pub-id>, PMID: <pub-id pub-id-type="pmid">30016406</pub-id></citation></ref>
<ref id="B34">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pechenik</surname> <given-names>J. A.</given-names>
</name>
</person-group> (<year>2006</year>). <article-title>Larval experience and latent effects - Metamorphosis is not a new beginning</article-title>. <source>Integr. Comp. Biol.</source> <volume>46</volume>, <fpage>323</fpage>&#x2013;<lpage>333</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/icb/icj028</pub-id>, PMID: <pub-id pub-id-type="pmid">21672745</pub-id></citation></ref>
<ref id="B35">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Quintino</surname> <given-names>V.</given-names>
</name>
<name>
<surname>Sangiorgio</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Ricardo</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Mamede</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Pires</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Freitas</surname> <given-names>R.</given-names>
</name>
<etal/>
</person-group>. (<year>2009</year>). <article-title>
<italic>In situ</italic> experimental study of reed leaf decomposition along a full salinity gradient</article-title>. <source>Estuarine Coast. Shelf Sci.</source> <volume>85</volume>, <fpage>497</fpage>&#x2013;<lpage>506</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ecss.2009.09.016</pub-id>
</citation></ref>
<ref id="B36">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ramos-Llorens</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Ribes-Navarro</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Navarro</surname> <given-names>J. C.</given-names>
</name>
<name>
<surname>Hontoria</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Kabeya</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Monroig</surname> <given-names>&#xd3;.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Can <italic>Artemia franciscana</italic> produce essential fatty acids? Unveiling the capacity of brine shrimp to biosynthesise long-chain polyunsaturated fatty acids</article-title>. <source>Aquaculture</source> <volume>563</volume>, <elocation-id>738869</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.aquaculture.2022.738869</pub-id>
</citation></ref>
<ref id="B37">
<citation citation-type="book">
<person-group person-group-type="author">
<collab>R Core Team</collab>
</person-group> (<year>2025</year>). <source>A language and environment for statistical computing</source> (<publisher-loc>Vienna, Austria</publisher-loc>: <publisher-name>R Foundation for Statistical Computing</publisher-name>). Available online at: <uri xlink:href="https://www.r-project.org/">https://www.r-project.org/</uri>.</citation></ref>
<ref id="B38">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rey</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Cartaxana</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Cruz</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Melo</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Domingues</surname> <given-names>M. R.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Revealing the polar lipidome, pigment profiles, and antioxidant activity of the giant unicellular green alga, Acetabularia acetabulum</article-title>. <source>J. Phycology</source> <volume>59</volume>, <fpage>1025</fpage>&#x2013;<lpage>1040</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/JPY.13367</pub-id>, PMID: <pub-id pub-id-type="pmid">37485699</pub-id></citation></ref>
<ref id="B39">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rey</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Greenacre</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Silva Neto</surname> <given-names>G. M.</given-names>
</name>
<name>
<surname>Bueno-Pardo</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Domingues</surname> <given-names>M. R.</given-names>
</name>
<name>
<surname>Calado</surname> <given-names>R.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Fatty acid ratio analysis identifies changes in competent meroplanktonic larvae sampled over different supply events</article-title>. <source>Mar. Environ. Res.</source> <volume>173</volume>, <elocation-id>105517</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.marenvres.2021.105517</pub-id>, PMID: <pub-id pub-id-type="pmid">34798492</pub-id></citation></ref>
<ref id="B40">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ribes-Navarro</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Alberts-Hubatsch</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Monroig</surname> <given-names>&#xd3;.</given-names>
</name>
<name>
<surname>Hontoria</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Navarro</surname> <given-names>J. C.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Effects of diet and temperature on the fatty acid composition of the gammarid <italic>Gammarus locusta</italic> fed alternative terrestrial feeds</article-title>. <source>Front. Mar. Sci.</source> <volume>9</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/FMARS.2022.931991/BIBTEX</pub-id>
</citation></ref>
<ref id="B41">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ribes-Navarro</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Kabeya</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Castro</surname> <given-names>F. L. C.</given-names>
</name>
<name>
<surname>Gomes-Dos-Santos</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Fonseca</surname> <given-names>M. M.</given-names>
</name>
<name>
<surname>Alberts-Hubatsch</surname> <given-names>H.</given-names>
</name>
<etal/>
</person-group>. (<year>2023</year>). <article-title>Examination of gammarid transcriptomes reveals a widespread occurrence of key metabolic genes from epibiont bdelloid rotifers in freshwater species</article-title>. <source>Open Biol.</source> <volume>13</volume>, <elocation-id>230196</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1098/rsob.230196</pub-id>, PMID: <pub-id pub-id-type="pmid">37875161</pub-id></citation></ref>
<ref id="B42">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ribes-Navarro</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Navarro</surname> <given-names>J. C.</given-names>
</name>
<name>
<surname>Hontoria</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Kabeya</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Standal</surname> <given-names>I. B.</given-names>
</name>
<name>
<surname>Evjemo</surname> <given-names>J. O.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>Biosynthesis of long-chain polyunsaturated fatty acids in marine gammarids: Molecular cloning and functional characterisation of three fatty acyl elongases</article-title>. <source>Mar. Drugs</source> <volume>19</volume>, <fpage>226</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/MD19040226</pub-id>, PMID: <pub-id pub-id-type="pmid">33923820</pub-id></citation></ref>
<ref id="B43">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rodrigues</surname> <given-names>D. P.</given-names>
</name>
<name>
<surname>Ameixa</surname> <given-names>O. M. C. C.</given-names>
</name>
<name>
<surname>V&#xe1;zquez</surname> <given-names>J. A.</given-names>
</name>
<name>
<surname>Calado</surname> <given-names>R.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Improving the lipid profile of Black Soldier Fly (<italic>Hermetia illucens</italic>) larvae for marine aquafeeds: Current state of knowledge</article-title>. <source>Sustainability (Switzerland)</source> <volume>14</volume>, <elocation-id>6472</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/su14116472</pub-id>
</citation></ref>
<ref id="B44">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rollin</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Coulaud</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Danger</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Sohm</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Flayac</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Bec</surname> <given-names>A.</given-names>
</name>
<etal/>
</person-group>. (<year>2017</year>). <article-title>Additive effect of calcium depletion and low resource quality on <italic>Gammarus fossarum</italic> (Crustacea, Amphipoda) life history traits</article-title>. <source>Environ. Sci. pollut. Res.</source> <volume>25</volume>, <fpage>11264</fpage>&#x2013;<lpage>11280</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s11356-017-9390-x</pub-id>, PMID: <pub-id pub-id-type="pmid">28624939</pub-id></citation></ref>
<ref id="B45">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sadegh Alavi-Yeganeh</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Abedian Kenari</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Rezaei</surname> <given-names>M.</given-names>
</name>
</person-group> (<year>2008</year>). <article-title>Effect of <italic>Gammarus</italic> powder as a supplementary diet on growth and survival of rainbow trout larvae (<italic>Oncorhynchus mykiss</italic>)</article-title>. <source>Pajouhesh Sazandegi</source> <volume>77</volume>, <fpage>113</fpage>&#x2013;<lpage>123</lpage>.</citation></ref>
<ref id="B46">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Schmid</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Guih&#xe9;neuf</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Stengel</surname> <given-names>D. B.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Evaluation of food grade solvents for lipid extraction and impact of storage temperature on fatty acid composition of edible seaweeds <italic>Laminaria digitata</italic> (Phaeophyceae) and <italic>Palmaria palmata</italic> (Rhodophyta)</article-title>. <source>Food Chem.</source> <volume>208</volume>, <fpage>161</fpage>&#x2013;<lpage>168</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.foodchem.2016.03.123</pub-id>, PMID: <pub-id pub-id-type="pmid">27132836</pub-id></citation></ref>
<ref id="B47">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Silva</surname> <given-names>R. X. G.</given-names>
</name>
<name>
<surname>Cartaxana</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Calado</surname> <given-names>R.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Prevalence and photobiology of photosynthetic dinoflagellate endosymbionts in the nudibranch <italic>Berghia stephanieae</italic>
</article-title>. <source>Animals</source> <volume>11</volume>, <elocation-id>2200</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/ani11082200</pub-id>, PMID: <pub-id pub-id-type="pmid">34438657</pub-id></citation></ref>
<ref id="B48">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Stillwell</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Wassall</surname> <given-names>S. R.</given-names>
</name>
</person-group> (<year>2003</year>). <article-title>Docosahexaenoic acid: Membrane properties of a unique fatty acid</article-title>. <source>Chem. Phys. Lipids</source> <volume>126</volume>, <fpage>1</fpage>&#x2013;<lpage>27</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S0009-3084(03)00101-4</pub-id>, PMID: <pub-id pub-id-type="pmid">14580707</pub-id></citation></ref>
<ref id="B49">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Taipale</surname> <given-names>S. J.</given-names>
</name>
<name>
<surname>Kers</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Peltomaa</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Loehr</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Kainz</surname> <given-names>M. J.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Selective fatty acid retention and turnover in the freshwater amphipod <italic>Pallaseopsis quadrispinosa</italic>
</article-title>. <source>Biomolecules</source> <volume>11</volume>, <elocation-id>478</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/biom11030478</pub-id>, PMID: <pub-id pub-id-type="pmid">33806910</pub-id></citation></ref>
<ref id="B50">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tocher</surname> <given-names>D. R.</given-names>
</name>
<name>
<surname>Betancor</surname> <given-names>M. B.</given-names>
</name>
<name>
<surname>Sprague</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Olsen</surname> <given-names>R. E.</given-names>
</name>
<name>
<surname>Napier</surname> <given-names>J. A.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Omega-3 long-chain polyunsaturated fatty acids, EPA and DHA: Bridging the gap between supply and demand</article-title>. <source>Nutrients</source> <volume>11</volume>, <fpage>89</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/nu11010089</pub-id>, PMID: <pub-id pub-id-type="pmid">30621155</pub-id></citation></ref>
<ref id="B51">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Jin</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Cheng</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Hu</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Yuan</surname> <given-names>Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>Dietary DHA/EPA ratio affects growth, tissue fatty acid profiles and expression of genes involved in lipid metabolism in mud crab <italic>Scylla paramamosain</italic> supplied with appropriate n-3 LC-PUFA at two lipid levels</article-title>. <source>Aquaculture</source> <volume>532</volume>, <elocation-id>736028</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.aquaculture.2020.736028</pub-id>
</citation></ref>
</ref-list>
</back>
</article>