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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2024.1340349</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 profiles reveal dietary variability of a large calanoid copepod <italic>Limnocalanus macrurus</italic> in the northern Baltic Sea</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>von Weissenberg</surname>
<given-names>Ella</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
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<contrib contrib-type="author">
<name>
<surname>Ruhanen</surname>
<given-names>Hanna</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<contrib contrib-type="author">
<name>
<surname>Holopainen</surname>
<given-names>Minna</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<contrib contrib-type="author">
<name>
<surname>K&#xe4;kel&#xe4;</surname>
<given-names>Reijo</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<contrib contrib-type="author">
<name>
<surname>Engstr&#xf6;m-&#xd6;st</surname>
<given-names>Jonna</given-names>
</name>
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<sup>2</sup>
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<aff id="aff1">
<sup>1</sup>
<institution>Faculty of Biological and Environmental Sciences. University of Helsinki</institution>, <addr-line>Helsinki</addr-line>, <country>Finland</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Faculty of Bioeconomy, Novia University of Applied Sciences</institution>, <addr-line>Eken&#xe4;s</addr-line>, <country>Finland</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Helsinki University Lipidomics Unit (HiLIPID), Helsinki Institute of Life Science (HiLIFE) and Biocenter Finland</institution>, <addr-line>Helsinki</addr-line>, <country>Finland</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Molecular and Integrative Biosciences Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki</institution>, <addr-line>Helsinki</addr-line>, <country>Finland</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Pedro Morais, Florida International University, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Per Meyer Jepsen, Roskilde University, Denmark</p>
<p>Yen-Ju Pan, National Taiwan Ocean University, Taiwan</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Ella von Weissenberg, <email xlink:href="mailto:ella.vonweissenberg@helsinki.fi">ella.vonweissenberg@helsinki.fi</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>02</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>11</volume>
<elocation-id>1340349</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>11</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>01</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 von Weissenberg, Ruhanen, Holopainen, K&#xe4;kel&#xe4; and Engstr&#xf6;m-&#xd6;st</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>von Weissenberg, Ruhanen, Holopainen, K&#xe4;kel&#xe4; and Engstr&#xf6;m-&#xd6;st</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>Eutrophication, climate-induced warming, and salinity fluctuations are altering the fatty acid profiles and the availability of essential polyunsaturated fatty acids (PUFAs) in marine zooplankton communities. <italic>Limnocalanus macrurus</italic> Sars G.O., 1863 is a large calanoid copepod inhabiting the low-salinity areas in the Baltic Sea, where it is a major source of docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA) to commercially important fish. <italic>L. macrurus</italic> is sensitive to warming, eutrophication and hypoxia. As an opportunistic feeder, it is capable of dietary shifts, which affects its fatty acid profiles. Although much studied in boreal lakes, there are only a few studies on the fatty acid profiles of the Baltic Sea populations. This study aimed to compare the fatty acid profiles of <italic>L. macrurus</italic> in three basins of the Baltic Sea, in relation to the community fatty acids and environmental variables. We collected samples of <italic>L. macrurus</italic> and filtered plankton community for gas chromatographic fatty acid analyses in August 2021 on R/V <italic>Aranda</italic>. The nutritional quality of <italic>L. macrurus</italic> to consumers was lower in the Gulf of Finland (GoF) compared to the Gulf of Bothnia, indicated by the low levels of DHA and EPA, as well as the low n-3/n-6 ratio of PUFAs. The lower ratio of 18:1n-7 to 18:1n-9 implied higher degree of omnivory in GoF. In contrast, a diatom marker 16:1n-7 had high proportion in the Bothnian Bay. High temperatures in GoF may have restricted feeding in the upper water column, possibly forcing a shift towards cyanobacteria or seston-based diet, as interpreted from a high proportion of 18:2n-6 and 18:3n-3. We conclude that the ability of <italic>L. macrurus</italic> to utilize multiple food sources increases its resilience to environmental change, while the consequences on the nutritional quality may have further cascading effects on the food webs.</p>
</abstract>
<kwd-group>
<kwd>fatty acid composition</kwd>
<kwd>PUFA</kwd>
<kwd>eutrophication</kwd>
<kwd>zooplankton</kwd>
<kwd>climate change</kwd>
<kwd>brackish water</kwd>
<kwd>fatty acid trophic marker</kwd>
<kwd>
<italic>Limnocalanus macrurus</italic>
</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="59"/>
<page-count count="12"/>
<word-count count="6189"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Marine Biology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Climate change-induced warming is challenging marine ecosystems globally by decreasing the availability of polyunsaturated fatty acids (PUFAs) from dietary lipids (<xref ref-type="bibr" rid="B53">Tan et&#xa0;al., 2022</xref>). The two physiologically most important PUFAs to all marine consumers are docosahexaenoic acid (22:6n-3, DHA) and eicosapentaenoic acid (20:5n-3, EPA). Both DHA and EPA are essential for lipid-protein interactions of cell membranes and therefore, all cellular functions (<xref ref-type="bibr" rid="B31">Lee et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B39">Parrish, 2013</xref>). Fatty acids synthesized by autotrophs often remain unchanged in food webs and thus, serve as dietary markers: 16:1n-7 and EPA are considered as markers for diatoms, and 18:4n-3 and DHA as markers for dinoflagellates (<xref ref-type="bibr" rid="B11">Dalsgaard et&#xa0;al., 2003</xref>). Fatty acids can also be used for indicating trophic level in the marine ecosystem. For instance, the ratio of 18:1n-7 to 18:1n-9 is considered as a marker for omnivory, while ratio of EPA to DHA typically decreases in higher trophic levels due to accumulation of DHA (<xref ref-type="bibr" rid="B11">Dalsgaard et&#xa0;al., 2003</xref>). Finally, nutritional quality of fatty acids profiles are interpreted from high ratios of n-3 to n-6 PUFAs and unsaturated (UFA) to saturated (SFA) fatty acids (<xref ref-type="bibr" rid="B53">Tan et&#xa0;al., 2022</xref>).</p>
<p>Temperature has direct effects on metabolic rates of aquatic organisms and fatty acid modifications in their membrane lipids to maintain fluidity and function (<xref ref-type="bibr" rid="B39">Parrish, 2013</xref>). Moreover, warming is shifting the plankton communities towards smaller size and thus, reduced individual lipid content (<xref ref-type="bibr" rid="B12">Daufresne et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B34">M&#xe4;kinen et&#xa0;al., 2017b</xref>; <xref ref-type="bibr" rid="B47">Renaud et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B21">Gorokhova, 2019</xref>), and towards increased heterotrophy, which decreases the availability of DHA and EPA (<xref ref-type="bibr" rid="B10">Dahlgren et&#xa0;al., 2011</xref>). The Baltic Sea is a large pool of brackish water, where salinity determines the species distribution and community structure (<xref ref-type="bibr" rid="B14">Diekmann et&#xa0;al., 2012</xref>). According to recent climate predictions, the increasing precipitation, river runoffs, and the salt water inflows through the Danish Straits induce salinity fluctuations (<xref ref-type="bibr" rid="B35">Meier et&#xa0;al., 2022</xref>). Moreover, shallow depth, low turnover rate and large catchment area relative to water volume make the Baltic Sea vulnerable to eutrophication, which decreases the availability of high-quality PUFAs to grazers through community shifts (<xref ref-type="bibr" rid="B51">Strandberg et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B52">Taipale et&#xa0;al., 2022</xref>). Along with eutrophication, some basins in the Baltic Sea suffer from hypoxia (<xref ref-type="bibr" rid="B8">Conley et&#xa0;al., 2011</xref>). The area of hypoxic sea floor has increased along with eutrophication (<xref ref-type="bibr" rid="B5">Carstensen et&#xa0;al., 2014</xref>). Low oxygen in deeper water layers forms a vertical migration barrier to species with high demand for oxygen (<xref ref-type="bibr" rid="B58">Webster et&#xa0;al., 2015</xref>).</p>
<p>Large, lipid-rich copepods are an important food source for fish in terms of food quality and quantity; they are rich in PUFAs, and they store energy densely in oil sacs or droplets in the form of wax esters and triacylglycerols (<xref ref-type="bibr" rid="B31">Lee et&#xa0;al., 2006</xref>). Planktivorous fish are size selective and thus, a large calanoid copepod <italic>Limnocalanus macrurus</italic> is a major food source for Baltic herring (<xref ref-type="bibr" rid="B19">Flinkman et&#xa0;al., 1992</xref>; <xref ref-type="bibr" rid="B44">Rajasilta et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B43">Rajasilta et&#xa0;al., 2019</xref>). <italic>L. macrurus</italic> is a cold-stenothermic copepod that dwells in deep water layers and is widely distributed in lake ecosystems, but also in the Baltic Sea, where it is considered as a glacial relict (<xref ref-type="bibr" rid="B28">Kane et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B24">Hiltunen et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B17">Einberg et&#xa0;al., 2019</xref>). It is an opportunistic omnivorous feeder: it preys on other copepods (<xref ref-type="bibr" rid="B57">Warren, 1985</xref>; <xref ref-type="bibr" rid="B9">Dahlgren et&#xa0;al., 2012</xref>) and utilizes phytoplankton blooms (<xref ref-type="bibr" rid="B25">Hirche et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B33">M&#xe4;kinen et&#xa0;al., 2017a</xref>). Weak tolerance to high temperatures makes <italic>L. macrurus</italic> vulnerable to climate change; high water temperatures in the upper water column may restrict its access to food (<xref ref-type="bibr" rid="B33">M&#xe4;kinen et&#xa0;al., 2017a</xref>), while hypoxia and eutrophication may further reduce its abundance (<xref ref-type="bibr" rid="B28">Kane et&#xa0;al., 2004</xref>). Although the low-oxygen layers in the water column may serve as refuges against predation (<xref ref-type="bibr" rid="B58">Webster et&#xa0;al., 2015</xref>), <italic>L. macrurus</italic> benefits physiologically from high oxygen and low temperature via increased antioxidant activity (<xref ref-type="bibr" rid="B56">Vuori et&#xa0;al., 2015</xref>). Previous studies have described the seasonality of the fatty acid profiles of <italic>L. macrurus</italic> in lakes (<xref ref-type="bibr" rid="B24">Hiltunen et&#xa0;al., 2014</xref>) and in the Gulf of Bothnia (<xref ref-type="bibr" rid="B9">Dahlgren et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B33">M&#xe4;kinen et&#xa0;al., 2017a</xref>), but large-scale spatial comparisons in the Baltic Sea are not conducted.</p>
<p>The main objectives of this work were to 1) investigate the nutritional quality of <italic>L. macrurus</italic> for consumers as assessed by fatty acids based on the essential PUFAs and their n-3/n-6 ratio, and 2) study the trophic status of the species by comparing the dietary fatty acid markers to the fatty acid profiles available in the plankton community. Hydrographical features of the sampling regions were considered as possible explanatory variables to the variation in the fatty acid profiles of <italic>L. macrurus</italic> between three basins in the Baltic Sea. We hypothesized that <italic>L. macrurus</italic> from areas with lower temperature and chl <italic>a</italic> (i.e., lower eutrophication) have higher nutritional quality to consumers, and that the dietary fatty acid markers of <italic>L. macrurus</italic> reflect those abundant in the fatty acid profiles of the plankton community. The vulnerability to environmental changes, importance to the community, and highly variable feeding behaviour make studies on <italic>L. macrurus</italic> relevant for understanding how lipids are affected by climate change in large scale.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Field sampling</title>
<p>Zooplankton sampling took place in 7&#x2013;13 August 2021 as part of the annual HELCOM COMBINE III expedition performed by the Finnish Environment Institute (SYKE) aboard of R/V <italic>Aranda</italic> (<xref ref-type="bibr" rid="B22">HELCOM, 2013</xref>). Zooplankton samples were obtained from five HELCOM monitoring stations: stations F2 and BO3 were located in Bothnian Bay (BB), US5B in the Bothnian Sea (BS), and LL3A and XV1 in the eastern Gulf of Finland (GoF) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). WP2 plankton net (mesh size: 100 &#xb5;m, diameter 57 cm) with a cod-end was hauled from 60 m; the net was closed 20 m below the surface during the light hours to avoid algae bloom in the sample. During dark hours, sampling continued to the surface, except for station XV1, where the sampling terminated at 10 m due to abundant cyanobacteria bloom at surface. We expected the target species <italic>L. macrurus</italic> to dwell in deeper waters during the day (<xref ref-type="bibr" rid="B58">Webster et&#xa0;al., 2015</xref>) and possibly ascend closer to surface at night, as copepods are known to perform diel vertical migration behavior (<xref ref-type="bibr" rid="B30">Lampert, 1989</xref>). The samples were immediately transferred to a cooling box with 10-&#xb5;m-filtered sea water. A community sample was concentrated on an acidified and 450&#xb0;C-combusted GF/F filter (Whatman). The community samples included all plankon in a size fraction of &gt;100 &#xb5;m; low amounts of phytoplankton were possibly included. The rest of the sample was stored in &lt;10&#xb0;C with continuous oxygenation using an aquarium pump. The storage time never exceeded 6 hours. For each replicate of a fatty acid sample (n=3&#x2013;5), 15 mixed-gender individuals of <italic>L. macrurus</italic> were carefully picked with forceps into a 1.5-mL Eppendorf tube under a stereo microscope (Nikon SMZ800). The samples were kept on ice during the collection, which took approximately 10&#x2013;15 minutes for each replicate; the ready samples were immediately snap-frozen in liquid nitrogen and stored in -80&#xb0;C.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>HELCOM monitoring stations used for sampling in 7&#x2013;13 August 2021 during COMBINE III expedition aboard R/V <italic>Aranda</italic> in Bothnian Bay, Bothnian Sea and Gulf of Finland.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1340349-g001.tif"/>
</fig>
<p>A zooplankton subsample was preserved in acid Lugol&#x2019;s solution and later determined to species or genus level under the stereo microscope, using the identification key by <xref ref-type="bibr" rid="B45">Rajasilta and Vuorinen (2008)</xref>. The relative abundance of zooplankton taxa were estimated as (+++) = highly abundant, (++) = abundant and (+) = present in low numbers, and used only for descriptive purposes. Environmental data were collected by SYKE and the Finnish Meteorological Institute from the entire expedition period as part of the annual HELCOM monitoring. Practical salinity (unitless), temperature and oxygen were measured by a SeaBird CTD sonde, and chlorophyll <italic>a</italic> (chl <italic>a</italic>) concentration and dissolved oxygen were measured from water collected from different depths using a Rosette serial bottle sampler.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Fatty acid analyses</title>
<p>The total lipids of <italic>L. macrurus</italic> and the community samples were converted to fatty acid methyl esters (FAME) using a direct transmethylation reaction according to the recommendations of <xref ref-type="bibr" rid="B6">Christie (1993)</xref>: the samples were transferred into a solution of 1 mL hexane and 2 mL 1% H<sub>2</sub>SO<sub>4</sub> in methanol and incubated in 95&#xb0;C in a nitrogen atmosphere for 120 minutes. The produced FAMEs were then extracted into hexane, and the residual water was removed on sodium sulphate. Prior to gas chromatography, the FAMEs were concentrated to the volume of 200 &#xb5;L hexane by evaporation under N<sub>2</sub> flow. The FAMEs were identified based on their mass spectra recorded by GCMS-QP2010 Ultra (Shimadzu Scientific Instruments, Kyoto, Japan) which were compared with the spectra we have recorded for several authentic standard mixtures of FAME (including Supelco CRM47885, 47033, 47085-U, 47015-U and 47080-U that contain 37 components, marine source, menhaden oil, animal and bacterial FAMEs, respectively), and published reference mass spectra (<xref ref-type="bibr" rid="B7">Christie, 2023</xref>). FAMEs where then quantified with GC-FID (Shimadzu GC-2010 Plus with flame-ionization detector) using Zebron ZB-wax capillary columns (30 m, 0.25 mm ID and film thickness 0.25 &#xb5;m; Phenomenex, Torrence CA, USA), and otherwise as detailed in <xref ref-type="bibr" rid="B27">K&#xe4;kel&#xe4; et&#xa0;al. (2005)</xref>. Fatty acid compositions are expressed as molar percentages per total fatty acids (mol%) to give all fatty acids the same importance, irrespective of their structure and weight. Fatty acids were abbreviated: (carbon number):(number of double bonds) n-(position of the first double bond calculated from the methyl end) (e.g., 22:6n-3 for docosahexaenoic acid).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Statistical analyses</title>
<p>All statistical analyses were carried out using R version 4.2.1 (<xref ref-type="bibr" rid="B46">R Core Team, 2022</xref>), and package <italic>ggplot2</italic> was used for graphics (<xref ref-type="bibr" rid="B59">Wickham, 2016</xref>). A Kruskal-Wallis test was used for analyzing differences of mol% of fatty acid trophic markers between sea basins, and further analysed with a Dunn&#x2019;s test by using package <italic>dunn.test</italic> (<xref ref-type="bibr" rid="B16">Dunn, 1961</xref>; <xref ref-type="bibr" rid="B15">Dinno, 2017</xref>).</p>
<p>Principal component analysis (PCA) was run using the <italic>prcomp</italic> function in R, where the variables were scaled to unit variance and centered to zero. These variables included environmental variables (temperature, salinity and dissolved oxygen at 40 m, and chl <italic>a</italic> at 5 m) and selected fatty acid variables: &#x3a3;PUFA, DHA, EPA, 18:3n-3, 18:4n-3, 16:1n-7,18:1n-9, 18:2n-6, 20:4n-6, and &#x3a3;branched. <italic>L. macrurus</italic> was expected to dwell in deeper water columns; in order to compare stations, 40 m depth was chosen for comparing temperature, salinity, and dissolved oxygen between stations. However, the chl <italic>a</italic> concentration was selected from the depth with maximum chl <italic>a</italic> (5 m) to represent the eutrophication level of the sampling site; it is worth noting that <italic>L. macrurus</italic> usually dwell below the productive layer. The plot was created using <italic>ggbiplot</italic> package (<xref ref-type="bibr" rid="B55">Vu, 2011</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>Hydrographical conditions</title>
<p>All sampling sites had a strong thermocline, reached in approximately 10&#x2013;15 m at station F2, but in 15&#x2013;20 m in all other locations (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The average temperature of the upper 10 m was &gt;18&#xb0;C in GoF, which was higher than in BB (<italic>&gt;</italic>16&#xb0;C) and BS (17&#xb0;C). Temperatures in GoF were also higher below the thermocline, 4.6&#xb0;C in 40 m, while the temperature at the same depth was 2.5&#xb0;C in BB and 3.9&#xb0;C in BS. All sampling areas were characterized by low salinity: the surface salinity in GoF was 3.5 in XV1 and 5.0 in LL3A, while salinity ranged from 4.5 at the surface to 6.3 at the lowest measuring point in deeper water layers at station US5B. The lowest salinity was in BB, where the highest measured salinity was 3.6. The average concentration of chl <italic>a</italic> in 1&#x2013;7.5 m was 1.9 &#xb5;g L<sup>&#x2212;1</sup> in BB and BS, whereas it was 6.7 &#xb5;g L<sup>&#x2212;1</sup> in the GoF. Hypoxia (dissolved O<sub>2</sub> <italic>&lt;</italic> 2 mL L<sup>&#x2212;1</sup>) occurred at both stations in GoF (LL3A, and XV1).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Hydrographical variables in the study area.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Station</th>
<th valign="top" align="right" rowspan="2">Date</th>
<th valign="top" align="right">Depth</th>
<th valign="top" align="right">Dissolved O<sub>2</sub>
</th>
<th valign="top" align="right">Salinity</th>
<th valign="top" align="right">Temperature</th>
<th valign="top" align="right">Chlorophyll <italic>a</italic>
</th>
</tr>
<tr>
<th valign="top" align="right">(m)</th>
<th valign="top" align="right">(ml L<sup>&#x2212;1</sup>)</th>
<th valign="top" align="right"/>
<th valign="top" align="right">(&#xb0;C)</th>
<th valign="top" align="right">(&#xb5;g L<sup>&#x2212;1</sup>)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="7">BO3</td>
<td valign="top" align="right" rowspan="7">7.8.2021</td>
<td valign="top" align="right">5</td>
<td valign="top" align="right">6.6</td>
<td valign="top" align="right">2.8</td>
<td valign="top" align="right">16.7</td>
<td valign="top" align="right">2.3</td>
</tr>
<tr>
<td valign="top" align="right">10</td>
<td valign="top" align="right">6.5</td>
<td valign="top" align="right">2.8</td>
<td valign="top" align="right">16.2</td>
<td valign="top" align="right">1.8</td>
</tr>
<tr>
<td valign="top" align="right">20</td>
<td valign="top" align="right">8.8</td>
<td valign="top" align="right">2.9</td>
<td valign="top" align="right">3.5</td>
<td valign="top" align="right">1.0</td>
</tr>
<tr>
<td valign="top" align="right">40</td>
<td valign="top" align="right">9.0</td>
<td valign="top" align="right">3.2</td>
<td valign="top" align="right">2.9</td>
<td valign="top" align="right"/>
</tr>
<tr>
<td valign="top" align="right">60</td>
<td valign="top" align="right">8.5</td>
<td valign="top" align="right">3.3</td>
<td valign="top" align="right">3.3</td>
<td valign="top" align="right"/>
</tr>
<tr>
<td valign="top" align="right">80</td>
<td valign="top" align="right">8.5</td>
<td valign="top" align="right">3.5</td>
<td valign="top" align="right">2.4</td>
<td valign="top" align="right"/>
</tr>
<tr>
<td valign="top" align="right">100</td>
<td valign="top" align="right">8.4</td>
<td valign="top" align="right">3.6</td>
<td valign="top" align="right">2.3</td>
<td valign="top" align="right"/>
</tr>
<tr>
<td valign="top" align="left" rowspan="5">F2</td>
<td valign="top" align="right" rowspan="5">7.8.2021</td>
<td valign="top" align="right">5</td>
<td valign="top" align="right">6.7</td>
<td valign="top" align="right">2.3</td>
<td valign="top" align="right">15.4</td>
<td valign="top" align="right">1.4</td>
</tr>
<tr>
<td valign="top" align="right">10</td>
<td valign="top" align="right">7.1</td>
<td valign="top" align="right">2.5</td>
<td valign="top" align="right">11.8</td>
<td valign="top" align="right">0.9</td>
</tr>
<tr>
<td valign="top" align="right">20</td>
<td valign="top" align="right">8.9</td>
<td valign="top" align="right">3.0</td>
<td valign="top" align="right">3.5</td>
<td valign="top" align="right">0.0</td>
</tr>
<tr>
<td valign="top" align="right">40</td>
<td valign="top" align="right">8.7</td>
<td valign="top" align="right">3.1</td>
<td valign="top" align="right">2.2</td>
<td valign="top" align="right"/>
</tr>
<tr>
<td valign="top" align="right">60</td>
<td valign="top" align="right">8.4</td>
<td valign="top" align="right">3.3</td>
<td valign="top" align="right">1.5</td>
<td valign="top" align="right"/>
</tr>
<tr>
<td valign="top" align="left" rowspan="9">US5B</td>
<td valign="top" align="right" rowspan="9">8.8.2021</td>
<td valign="top" align="right">5</td>
<td valign="top" align="right">6.4</td>
<td valign="top" align="right">4.6</td>
<td valign="top" align="right">17.2</td>
<td valign="top" align="right">1.9</td>
</tr>
<tr>
<td valign="top" align="right">10</td>
<td valign="top" align="right">6.4</td>
<td valign="top" align="right">4.6</td>
<td valign="top" align="right">17.2</td>
<td valign="top" align="right">1.9</td>
</tr>
<tr>
<td valign="top" align="right">20</td>
<td valign="top" align="right">7.5</td>
<td valign="top" align="right">5.0</td>
<td valign="top" align="right">7.5</td>
<td valign="top" align="right">0.8</td>
</tr>
<tr>
<td valign="top" align="right">40</td>
<td valign="top" align="right">8.5</td>
<td valign="top" align="right">5.5</td>
<td valign="top" align="right">3.9</td>
<td valign="top" align="right"/>
</tr>
<tr>
<td valign="top" align="right">60</td>
<td valign="top" align="right">8.6</td>
<td valign="top" align="right">5.7</td>
<td valign="top" align="right">2.7</td>
<td valign="top" align="right"/>
</tr>
<tr>
<td valign="top" align="right">80</td>
<td valign="top" align="right">6.6</td>
<td valign="top" align="right">6.0</td>
<td valign="top" align="right">3.2</td>
<td valign="top" align="right"/>
</tr>
<tr>
<td valign="top" align="right">100</td>
<td valign="top" align="right">5.1</td>
<td valign="top" align="right">6.3</td>
<td valign="top" align="right">4.2</td>
<td valign="top" align="right"/>
</tr>
<tr>
<td valign="top" align="right">140</td>
<td valign="top" align="right">4.7</td>
<td valign="top" align="right">6.3</td>
<td valign="top" align="right">4.3</td>
<td valign="top" align="right"/>
</tr>
<tr>
<td valign="top" align="right">180</td>
<td valign="top" align="right">4.7</td>
<td valign="top" align="right">6.3</td>
<td valign="top" align="right">4.3</td>
<td valign="top" align="right"/>
</tr>
<tr>
<td valign="top" align="left" rowspan="5">LL3A</td>
<td valign="top" align="right" rowspan="5">12.8.2021</td>
<td valign="top" align="right">5</td>
<td valign="top" align="right">6.5</td>
<td valign="top" align="right">5.0</td>
<td valign="top" align="right">18.6</td>
<td valign="top" align="right">6.3</td>
</tr>
<tr>
<td valign="top" align="right">10</td>
<td valign="top" align="right">6.0</td>
<td valign="top" align="right">5.0</td>
<td valign="top" align="right">17.7</td>
<td valign="top" align="right">3.9</td>
</tr>
<tr>
<td valign="top" align="right">20</td>
<td valign="top" align="right">5.9</td>
<td valign="top" align="right">5.1</td>
<td valign="top" align="right">7.4</td>
<td valign="top" align="right">1.0</td>
</tr>
<tr>
<td valign="top" align="right">40</td>
<td valign="top" align="right">4.1</td>
<td valign="top" align="right">7.2</td>
<td valign="top" align="right">4.5</td>
<td valign="top" align="right"/>
</tr>
<tr>
<td valign="top" align="right">60</td>
<td valign="top" align="right">1.0</td>
<td valign="top" align="right">8.6</td>
<td valign="top" align="right">5.3</td>
<td valign="top" align="right"/>
</tr>
<tr>
<td valign="top" align="left" rowspan="4">XV1</td>
<td valign="top" align="right" rowspan="4">13.8.2021</td>
<td valign="top" align="right">5</td>
<td valign="top" align="right">6.2</td>
<td valign="top" align="right">3.7</td>
<td valign="top" align="right">18.8</td>
<td valign="top" align="right">7.1</td>
</tr>
<tr>
<td valign="top" align="right">10</td>
<td valign="top" align="right">6.0</td>
<td valign="top" align="right">4.4</td>
<td valign="top" align="right">18.1</td>
<td valign="top" align="right">5.9</td>
</tr>
<tr>
<td valign="top" align="right">20</td>
<td valign="top" align="right">5.2</td>
<td valign="top" align="right">4.6</td>
<td valign="top" align="right">10.0</td>
<td valign="top" align="right">1.4</td>
</tr>
<tr>
<td valign="top" align="right">40</td>
<td valign="top" align="right">2.8</td>
<td valign="top" align="right">6.9</td>
<td valign="top" align="right">4.7</td>
<td valign="top" align="right"/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Zooplankton community composition</title>
<p>The zooplankton communities in the Gulf of Bothnia were characterized by the dominance of <italic>Eurytemora affinis</italic> and <italic>L. macrurus</italic>, accompanied by equally high abundances of cladocerans, especially <italic>Bosmina coregoni</italic> (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Station BO3 had high abundance of rotifers <italic>Keratella</italic> spp. Calanoid copepod <italic>Acartia</italic> sp. was highly abundant at US5B, but absent in the BB. The GoF zooplankton was dominated by <italic>E. affinis</italic>, and also other copepods, such as <italic>L. macrurus</italic>, <italic>Pseudocalanus</italic> spp. and <italic>Acartia</italic> sp. were abundant. Rotifers <italic>Synchaeta</italic> spp. were abundant in GoF, while cladocerans were only present in low numbers.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Zooplankton community presented as relative abundances: (+++) = highly abundant, (++) = abundant and (+) = present in low numbers.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Group</th>
<th valign="top" align="left">Species</th>
<th valign="top" align="left">BO3</th>
<th valign="top" align="left">F2</th>
<th valign="top" align="left">US5B</th>
<th valign="top" align="left">LL3A</th>
<th valign="top" align="left">XV1</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="3">Rotatoria</td>
<td valign="top" align="left">
<italic>Keratella cochlearis</italic>
</td>
<td valign="top" align="left">+++</td>
<td valign="top" align="left">+</td>
<td valign="top" align="left">+</td>
<td valign="top" align="left">+</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">
<italic>Keratella quadrata</italic>
</td>
<td valign="top" align="left">+++</td>
<td valign="top" align="left">+</td>
<td valign="top" align="left">+</td>
<td valign="top" align="left">+</td>
<td valign="top" align="left">+</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Synchaeta</italic> spp.</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">+</td>
<td valign="top" align="left">++</td>
<td valign="top" align="left">++</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="5">Cladocera</td>
<td valign="bottom" align="left">
<italic>Bosmina coregoni</italic>
</td>
<td valign="bottom" align="left">+++</td>
<td valign="bottom" align="left">+++</td>
<td valign="bottom" align="left">+++</td>
<td valign="top" align="left"/>
<td valign="bottom" align="left">+</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Evadne nordmanni</italic>
</td>
<td valign="top" align="left">++</td>
<td valign="top" align="left">+</td>
<td valign="top" align="left">+</td>
<td valign="top" align="left"/>
<td valign="top" align="left">+</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Pleopis polyphemoides</italic>
</td>
<td valign="top" align="left">++</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">
<italic>Daphnia magna</italic>
</td>
<td valign="top" align="left">+</td>
<td valign="top" align="left">+++</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">+</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Cercopagis pengoi</italic>
</td>
<td valign="top" align="left">+</td>
<td valign="top" align="left">+</td>
<td valign="top" align="left">+</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left" rowspan="7">Copepoda</td>
<td valign="bottom" align="left">
<italic>Limnocalanus macrurus</italic>
</td>
<td valign="bottom" align="left">+++</td>
<td valign="bottom" align="left">+++</td>
<td valign="bottom" align="left">++</td>
<td valign="bottom" align="left">+</td>
<td valign="bottom" align="left">++</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Eurytemora affinis</italic>
</td>
<td valign="top" align="left">+++</td>
<td valign="top" align="left">+++</td>
<td valign="top" align="left">+++</td>
<td valign="top" align="left">+++</td>
<td valign="top" align="left">+++</td>
</tr>
<tr>
<td valign="top" align="left">Calanoida nauplii</td>
<td valign="top" align="left">++</td>
<td valign="top" align="left">++</td>
<td valign="top" align="left">++</td>
<td valign="top" align="left">+</td>
<td valign="top" align="left">+</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Acartia</italic> spp.</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">+++</td>
<td valign="top" align="left"/>
<td valign="top" align="left">++</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Limnocalanus</italic> nauplii</td>
<td valign="top" align="left"/>
<td valign="top" align="left">+</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Cyclopoida</td>
<td valign="top" align="left"/>
<td valign="top" align="left">++</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">+</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Pseudocalanus</italic> spp.</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">++</td>
<td valign="top" align="left">++</td>
</tr>
<tr>
<td valign="bottom" align="left">Other</td>
<td valign="bottom" align="left">Polychaeta larvae</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="bottom" align="left">+</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Fatty acid profiles of <italic>Limnocalanus macrurus</italic>
</title>
<p>Fatty acid profiles of <italic>L. macrurus</italic> were dominated by DHA, EPA, 18:2n-6, 18:1n-9, and 16:0 (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). The total PUFA-content of <italic>L. macrurus</italic> varied between 59 and 76 mol% in the whole study area, including 45&#x2013;61 mol% n-3 family members. C<sub>18</sub> PUFAs comprised 20 mol% of the total fatty acids. The proportion of C<sub>24</sub> PUFAs varied between 0.5 and 15 mol% and comprised mostly of 24:4n-3 and 24:5n-3. Long-chain monounsaturated fatty acids were abundant: the highest proportions were found in 18:1n-9, 18:1n-7, and 24:1n-9. Additionally, 20:1n-9 and 22:1n-11 were found in low proportions, less than 1 mol%. The major saturated fatty acids were 16:0, 14:0, and 18:0. Branched fatty acids were rare, but their sum varied between 0.6 and 1.6 mol%. The main branched fatty acids were 4,8,12-trimethyl-tridecanoate, 15:0, 15:0<italic>iso</italic>, phytanate, and 14:0<italic>iso</italic>.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>
<bold>(A)</bold> Mean mol% of the major fatty acids (<italic>&gt;</italic> 1 mol%) in <bold>(A)</bold> <italic>Limnocalanus macrurus</italic> and <bold>(B)</bold> plankton community. All samples of the sample type were combined. Community fatty acids not present in <italic>Limnocalanus</italic> samples are not shown. NMIT, non-methylene interrupted trienoic fatty acid.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1340349-g002.tif"/>
</fig>
<p>The fatty acid profiles of <italic>L. macrurus</italic> population of BB and BS differed from the profile of the population in GoF. The proportions of EPA and DHA were significantly lower, but the ratio of unsaturated to saturated fatty acids was significantly higher in GoF compared to the other sea basins (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A&#x2013;C</bold>
</xref>). The high UFA/SFA ratio in GoF was mainly due to high proportion of <italic>&#x3b1;</italic>-linolenic acid 18:3n-3 (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). The ratio of n-3 to n-6 fatty acids was significantly higher in both BB and BS compared to GoF (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3D</bold>
</xref>). <italic>L. macrurus</italic> was significantly richer in C<sub>24</sub> PUFAs in GoF compared to BB (<xref ref-type="fig" rid="f3">
<bold>Figure 3E</bold>
</xref>). The ratio of 18:1n-7 to 18:1n-9 was significantly lower in GoF compared to BB and BS (<xref ref-type="fig" rid="f3">
<bold>Figure 3F</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Fatty acid trophic markers <bold>(A)</bold> 22:6n-3 (DHA), <bold>(B)</bold> 20:5n-3 (EPA), <bold>(C)</bold> ratio of unsaturated to saturated fatty acids (UFA/SFA), <bold>(D)</bold> ratio of n-3 to n-6 polyunsaturated fatty acids (PUFAs), <bold>(E)</bold> C24 PUFAs and <bold>(F)</bold> ratio of 18:1n-7 to 18:1n-9 in <italic>Limnocalanus</italic> samples. <italic>Post-hoc</italic> test for Kruskal-Wallis, Dunn test, was used. The z-value shows the difference between the mean rank of a group and the mean rank of all observations. UFA/SFA, ratio of unsaturated to saturated fatty acids. P-values: 0.05 = *, <italic>&lt;</italic>0.01 = **, <italic>&lt;</italic>0.001 = ***.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1340349-g003.tif"/>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Mean mol% of fatty acid trophic markers in the plankton community and <italic>Limnocalanus macrurus</italic>: <bold>(A)</bold> sum of polyunsaturated fatty acids (PUFA), <bold>(B)</bold> 22:6n-3 (DHA), <bold>(C)</bold> 20:5n-3 (EPA), <bold>(D)</bold> 18:3n-3, <bold>(E)</bold> 18:4n-3, <bold>(F)</bold> 16:1n-7, <bold>(G)</bold> 18:1n-9, <bold>(H)</bold> 18:2n-6, and <bold>(I)</bold> 20:4n-6.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1340349-g004.tif"/>
</fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Comparing the fatty acid profiles of the community and <italic>Limnocalanus macrurus</italic>
</title>
<p>The main fatty acids in the plankton community were DHA, 16:0, and EPA (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). Altogether, they comprised 44.5% of the total lipids. The sum of PUFAs was 57% in average, which included 48% n-3 PUFAs. Although the mean of total PUFA was higher in <italic>L. macrurus</italic> compared to the plankton community at all stations, the comparisons of the mol% values of individual PUFAs between the community and <italic>L. macrurus</italic> showed varying relationships across the study area (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). In GoF, plankton community was on mol% basis three times richer in DHA and two times richer in EPA compared to <italic>L. macrurus</italic>, whereas <italic>L. macrurus</italic> had higher proportion of 18:3n-3 than the community (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4B&#x2013;D</bold>
</xref>). The proportion of dinoflagellate marker 18:4n-3 is in the same magnitude in both sample types, although higher mean values were recorded at stations BO3, F2 and XVI (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4E</bold>
</xref>). The smallest mean of 18:4n-3 in <italic>L. macrurus</italic> and plankton community coincided at station US5B. <italic>L. macrurus</italic> was three times richer in the diatom marker 16:1n-7 than the plankton community at station BO3, and two times at F2 (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4F</bold>
</xref>). In both sample types, the mean mol% of 16:1n-7 was relatively low in GoF and BS. <italic>L. macrurus</italic> had 2&#x2013;4 times higher proportion of the omnivory marker 18:1n-9 than the plankton community in GoF and at station BO3 (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4G</bold>
</xref>). At other stations, the mol% of 18:1n-9 was at the same level between the sample types. The PUFAs in n-6 family, 18:2n-6 and arachidonic acid 20:4n-6 showed varying relative values between the samples from different sea basins: the 18:2n-6 had the highest proportions in GoF, where the <italic>L. macrurus</italic> samples contained 2&#x2013;3-fold levels compared to the plankton community (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4H</bold>
</xref>). The 20:4n-6 was particularly rich in the community samples from BB (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4I</bold>
</xref>).</p>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Environmental effects</title>
<p>The biplot of the principal component analysis (showing the scores and loadings) clustered the <italic>L. macrurus</italic> samples according to the stations and sea basins. The environmental variables were used as loadings together with the main fatty acid markers (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). Principal components 1 and 2 (later PC1 and PC2) had eigenvalues &gt;1 and together they explained 90% of the total data variance. The PC1 separated the BB and BS samples from the GoF samples, and the PC2 separated the BB samples from BS samples (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). The characteristic fatty acid markers enriched in BB samples were 16:1n-7, 20:4n-6, branched and EPA. The BS samples were separated from all other samples by their higher DHA content and n-3/n-6 PUFA ratio, and low proportion of 18:4n-3. The characteristic markers of GoF samples were 18:1n-9, 18:2n-6, 18:3n-3 and &#x3a3;PUFA. The biplot also indicated that these fatty acid markers high in GoF correlated positively with the environmental factors chl <italic>a</italic>, temperature and salinity, and negatively with dissolved O<sub>2</sub>, which, in turn, correlated positively with the fatty acid markers high in BB. On PC1 the drivers with the largest separation power were 18:2n-6, EPA and dissolved O<sub>2</sub>, and on PC2 the 18:4n-3 and n-3/n-6 ratio (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Biplot of principal component analysis (PCA) showing both the scores (samples) and loadings (variables) on the two most important principal components PC1 and PC2, which explained 72.9 and 17.5% of the total data variance, respectively. The variables used include both environmental factors and several fatty acids measured from <italic>Limnocalanus macrurus</italic> in Bothnian Bay (BB), Bothnian Sea (BS), and in the Gulf of Finland (GoF). T, temperature at 40 m; S, practical salinity at 40 m; chl <italic>a</italic>, chlorophyll <italic>a</italic> concentration at 5 m; O<sub>2</sub>, dissolved oxygen (mg/L) at 40 m; DHA, docosahexaenoic acid (22:6n-3); EPA, eicosapentaenoic acid (20:5n-3); UFA, unsaturated fatty acids; SFA, saturated fatty acids; PUFA, polyunsaturated fatty acids.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-11-1340349-g005.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Component matrix of the first two principal components (PC1 and PC2) of a principal component analysis (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left">PC1</th>
<th valign="top" align="left">PC2</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">16:1n-7</td>
<td valign="top" align="left">-0.18</td>
<td valign="top" align="left">0.37</td>
</tr>
<tr>
<td valign="top" align="left">18:1n-9</td>
<td valign="top" align="left">0.26</td>
<td valign="top" align="left">0.22</td>
</tr>
<tr>
<td valign="top" align="left">18:2n-6</td>
<td valign="top" align="left">
<bold>0.29</bold>
</td>
<td valign="top" align="left">0.12</td>
</tr>
<tr>
<td valign="top" align="left">18:3n-3</td>
<td valign="top" align="left">0.28</td>
<td valign="top" align="left">0.12</td>
</tr>
<tr>
<td valign="top" align="left">18:4n-3</td>
<td valign="top" align="left">0.17</td>
<td valign="top" align="left">
<bold>0.45</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">20:4n-6</td>
<td valign="top" align="left">-0.25</td>
<td valign="top" align="left">0.24</td>
</tr>
<tr>
<td valign="top" align="left">EPA</td>
<td valign="top" align="left">
<bold>-0.29</bold>
</td>
<td valign="top" align="left">0.09</td>
</tr>
<tr>
<td valign="top" align="left">DHA</td>
<td valign="top" align="left">-0.22</td>
<td valign="top" align="left">-0.35</td>
</tr>
<tr>
<td valign="top" align="left">&#x3a3;PUFA</td>
<td valign="top" align="left">0.28</td>
<td valign="top" align="left">-0.07</td>
</tr>
<tr>
<td valign="top" align="left">UFA/SFA</td>
<td valign="top" align="left">0.19</td>
<td valign="top" align="left">0.10</td>
</tr>
<tr>
<td valign="top" align="left">n-3/n-6</td>
<td valign="top" align="left">-0.18</td>
<td valign="top" align="left">
<bold>-0.43</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x3a3;Branched</td>
<td valign="top" align="left">-0.26</td>
<td valign="top" align="left">0.18</td>
</tr>
<tr>
<td valign="top" align="left">Chl <italic>a</italic> at 5 m</td>
<td valign="top" align="left">0.29</td>
<td valign="top" align="left">-0.01</td>
</tr>
<tr>
<td valign="top" align="left">Temperature at 40 m</td>
<td valign="top" align="left">0.25</td>
<td valign="top" align="left">-0.28</td>
</tr>
<tr>
<td valign="top" align="left">Practical salinity at 40 m</td>
<td valign="top" align="left">0.26</td>
<td valign="top" align="left">-0.28</td>
</tr>
<tr>
<td valign="top" align="left">Dissolved oxygen at 40 m</td>
<td valign="top" align="left">
<bold>-0.29</bold>
</td>
<td valign="top" align="left">0.04</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Two to three main drivers for each principal component are bolded. UFA/SFA, ratio of unsaturated and saturated fatty acids.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>
<italic>Limnocalanus macrurus</italic> of the northern Baltic Sea was rich in PUFAs, but the PUFA composition differed between the Gulf of Finland and the Bothnian Bay and the Bothnian Sea, suggesting differences in the plankton diet of this filter feeder. We found wide variability in the diet of <italic>L. macrurus</italic> across the study area: varying degree of herbivory, detritus-feeding and carnivory on other copepods was interpreted from the fatty acid markers for diatoms (16:1n-7), dinoflagellates (18:4n-3), cyanobacteria or seston (18:2n-6 and 18:3n-3), herbivory&#x2013;omnivory (18:1n-7/18:n-9), and carnivory of herbivorous copepods (20:1n-9 and 22:1n-11)(<xref ref-type="bibr" rid="B11">Dalsgaard et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B18">Falk-Petersen et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B41">Peters et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B50">Strandberg et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B23">Helenius et&#xa0;al., 2020</xref>). Nutritional quality of <italic>L. macrurus</italic> to consumers differed significantly between sea basins, interpreted from the n-3 to n-6 ratio of PUFAs, and differences in the proportion of essential fatty acids EPA and DHA (<xref ref-type="bibr" rid="B53">Tan et&#xa0;al., 2022</xref>).</p>
<sec id="s4_1">
<label>4.1</label>
<title>Fatty acid profiles of <italic>Limnocalanus macrurus</italic>
</title>
<p>
<italic>L. macrurus</italic> is described as a PUFA-rich copepod, which was confirmed in the present study. The average proportions of the major fatty acids (DHA, EPA, 18:2n-6, 18:1n-9 and 16:0) were similar to the values reported by <xref ref-type="bibr" rid="B33">M&#xe4;kinen et&#xa0;al. (2017a)</xref>. However, variation occurred between sea basins: the proportion of total PUFA was higher in GoF than in BB and BS. The levels of essential fatty acids DHA and EPA were significantly lower in GoF, approximately one half of the average of all samples. <xref ref-type="bibr" rid="B24">Hiltunen et&#xa0;al. (2014)</xref> have previously reported that Baltic <italic>L. macrurus</italic> (BB, BS, and GoF sampled in August) had lower proportions of DHA and EPA compared to lakes, but the mean DHA proportion in GoF was even lower in the present study. The result is alarming, since DHA and EPA are essential fatty acids needed for the cell membrane functioning, growth and development of all consumers from zooplankton to fish, and humans (<xref ref-type="bibr" rid="B31">Lee et&#xa0;al., 2006</xref>). The health effects of DHA and EPA are widely reported for vertebrates, but they are also important for copepod reproduction (<xref ref-type="bibr" rid="B38">Parrish, 2009</xref>). <italic>L. macrurus</italic> in GoF was particularly rich in 18:3n-3. There are differences in the ability of copepod species to biosynthesize EPA and DHA through elongation and desaturation from 18:3n-3 and 18:4n-3. In starving conditions, the Sprecher pathway via C<sub>24</sub> PUFAs to DHA proceeds in some species inefficiently and may not meet the physiological requirements, but in others, endogenous synthesis maintains high DHA contents even for two generations (<xref ref-type="bibr" rid="B3">Bell et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B37">Nielsen et&#xa0;al., 2019</xref>). <italic>L. macrurus</italic> is regarded as a PUFA-rich species but its different lake populations have still shown varying DHA levels (<xref ref-type="bibr" rid="B24">Hiltunen et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B49">Strandberg et&#xa0;al., 2023</xref>), and therefore its DHA levels may reflect environmental and dietary conditions. Our data suggest that this is true also for the Baltic Sea populations: despite abundant 18:3n-3, the low proportion of physiologically essential DHA and EPA indicate poor dietary lipid quality in GoF.</p>
<p>Poor quality in GoF is also indicated from lower n-3/n-6 ratio compared to other basins. Further, the major n-6 PUFA was 18:2n-6 in GoF, whereas the long-chain 20:4n-6 had higher proportion in BB and BS. Like DHA and EPA, 20:4n-6 is an essential fatty acid in aquatic ecosystems, and its availability is important for the development of fish larvae (<xref ref-type="bibr" rid="B2">Bell et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B38">Parrish, 2009</xref>; <xref ref-type="bibr" rid="B39">Parrish, 2013</xref>). Freshwater fish have higher proportion of 18:2n-6 and 20:4n-6 than marine fish, and relatively high proportion of n-6 fatty acids is typical for freshwater algae and terrestrial matter (<xref ref-type="bibr" rid="B40">Parzanini et&#xa0;al., 2020</xref>). Relatively high proportions of 20:4n-6 (2.3&#x2013;2.9%) have also been reported for freshwater <italic>L. macrurus</italic> (<xref ref-type="bibr" rid="B49">Strandberg et&#xa0;al., 2023</xref>), and comparisons between Baltic and lake <italic>L. macrurus</italic> have shown significantly higher proportions of this fatty acid in lakes (<xref ref-type="bibr" rid="B24">Hiltunen et&#xa0;al., 2014</xref>). However, higher proportions of 18:2n-6 have been reported in Baltic populations compared to lakes (<xref ref-type="bibr" rid="B24">Hiltunen et&#xa0;al., 2014</xref>). The water salinity in BB is close to freshwater level and thus, it is possible that the influence of freshwater phytoplankton and terrestrial organic matter are responsible for the high proportion of 20:4n-6 in both <italic>L. macrurus</italic> and the plankton community from BB.</p>
<p>Interestingly, very long-chain C<sub>24</sub> PUFAs had high proportions in GoF and BS, but low at station F2 in BB. <xref ref-type="bibr" rid="B24">Hiltunen et&#xa0;al. (2014)</xref> have proposed that <italic>L. macrurus</italic> synthesizes 24:5n-3 and 24:6n-3 from 18:3n-3 and 18:4n-3, possibly for energy storages or cell signaling purposes. In the present study, 18:3n-3 and 18:4n-3 had high proportion in <italic>L. macrurus</italic>, especially in GoF, and may have served as building material for the observed C<sub>24</sub> PUFAs. <xref ref-type="bibr" rid="B24">Hiltunen et&#xa0;al. (2014)</xref> hypothesized that accumulation of C<sub>24</sub> PUFAs are related to maximizing lipid reserves for winter because they were stored in wax esters. In the present study, sampling occurred in August, which is an ideal time for <italic>L. macrurus</italic> to accumulate its lipid reserves &#x2013; <xref ref-type="bibr" rid="B24">Hiltunen et&#xa0;al. (2014)</xref> reported that the percentage of C<sub>24</sub> PUFAs in <italic>L. macrurus</italic> peaked in the late summer, when winter lipid reserves were being accumulated.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Fatty acids reveal dietary variability</title>
<p>
<italic>L. macrurus</italic> was feeding omnivorously in the whole study area, interpreted from the high PUFA content, and the high share of a fatty acid 18:1n-9 characteristic to omnivores (<xref ref-type="bibr" rid="B11">Dalsgaard et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B31">Lee et&#xa0;al., 2006</xref>). High proportions of 18:1n-9 in Baltic <italic>L. macrurus</italic> were also reported by <xref ref-type="bibr" rid="B33">M&#xe4;kinen et&#xa0;al. (2017a)</xref>, and a comparison between Baltic and lake populations of <italic>L. macrurus</italic> have shown three times higher 18:1n-9 proportions in the Baltic populations (<xref ref-type="bibr" rid="B24">Hiltunen et&#xa0;al., 2014</xref>). In the present study, fatty acids profiles indicate that the <italic>L. macrurus</italic> populations in GoF, BB and BS were using different food sources. Interestingly, <italic>L. macrurus</italic> are located at significantly higher trophic level in the GoF compared to BS or BB, interpreted from their low ratios of EPA/DHA, 18:1n-7/18:1n-9, and high UFA/SFA ratio, which are markers of higher trophic level (<xref ref-type="bibr" rid="B11">Dalsgaard et&#xa0;al., 2003</xref>). The relatively high mol% of a diatom marker 16:1n-7 in BB, together with a dinoflagellate marker 18:4n-3, indicate partly herbivorous feeding in BB and confirms that diatoms were consumed (<xref ref-type="bibr" rid="B11">Dalsgaard et&#xa0;al., 2003</xref>), as reported also by <xref ref-type="bibr" rid="B25">Hirche et&#xa0;al. (2003)</xref>.</p>
<p>DHA was three times and EPA two times more abundant in the plankton community compared to <italic>L. macrurus</italic> in GoF. This is surprising because copepods assimilate DHA efficiently from their diet (<xref ref-type="bibr" rid="B36">M&#xfc;ller-Navarra, 2006</xref>; <xref ref-type="bibr" rid="B4">Burns et&#xa0;al., 2011</xref>). The result implies that <italic>L. macrurus</italic> had a restricted access to DHA and EPA, possibly due to high temperature in the upper water column, which have previously been suggested to have caused starvation in BS <xref ref-type="bibr" rid="B33">M&#xe4;kinen et&#xa0;al. (2017a)</xref>. At the same time, the ability of <italic>L. macrurus</italic> to elongate and desaturate their large stores of the precursors 18:3n-3 and 18:4n-3 to EPA and DHA seems poor, as reported for other copepod species (<xref ref-type="bibr" rid="B3">Bell et&#xa0;al., 2007</xref>). Open-water season is important to the energy accumulation of <italic>L. macrurus</italic> to provide energy reserves for reproduction that occurs during the ice cover (<xref ref-type="bibr" rid="B9">Dahlgren et&#xa0;al., 2012</xref>). This further highlights the importance of the availability of essential fatty acids.</p>
<p>Despite the low levels of C<sub>20</sub> and C<sub>22</sub> PUFAs, the very-long chain C<sub>24</sub> PUFAs were accumulated in <italic>L. macrurus</italic> in GoF. The biological functions of C<sub>24</sub> PUFAs are poorly known. They are the immediate precursors of DHA, and high supply of 18:3n-3, as in GoF <italic>L. macrurus</italic>, may compete with 24:5n-3 for delta-6 desaturation, which would reduce the synthesis of DHA and keep the precursor level high (<xref ref-type="bibr" rid="B42">Portolesi et&#xa0;al., 2007</xref>). The C<sub>24</sub> PUFAs influence on membrane physical properties and numerous biological functions (<xref ref-type="bibr" rid="B13">De&#xe1;k et&#xa0;al., 2019</xref>), and may balance membrane properties if the shorter C<sub>18</sub> PUFAs are incorporated in excess into membranes. The C<sub>24</sub> PUFAs were not detected from the community samples in this study. In previous studies, C<sub>24</sub> PUFAs have been found in <italic>L. macrurus</italic>, but not in other zooplankton taxa or seston (<xref ref-type="bibr" rid="B24">Hiltunen et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B49">Strandberg et&#xa0;al., 2023</xref>). Thus, it is unlikely that C<sub>24</sub> PUFAs were acquired from diet. In the future, the role of C<sub>24</sub> PUFAs could be clarified by studying their distribution between membrane and storage lipids by using mass spectrometry-based lipidomics. In addition, the ability for endogenous synthesis of C<sub>24</sub> PUFAs can be studied in experiments where the copepods are given labeled PUFA precursors and their conversion to the longer and more unsaturated labeled PUFAs is monitored.</p>
<p>Temperature and the influence of terrestrial organic matter may increase heterotrophy in the plankton community, which decreases the availability of DHA and EPA (<xref ref-type="bibr" rid="B10">Dahlgren et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B1">Andersson et&#xa0;al., 2023</xref>). For the past decades, GoF has been influenced by high amounts of dissolved organic matter, which has driven strong microbial loops in the ecosystem, despite the improved water quality (<xref ref-type="bibr" rid="B20">Golubkov et&#xa0;al., 2010</xref>). Furthermore, GoF is characterized by very high cyanobacteria biomass, whereas BB is typically low in cyanobacteria (<xref ref-type="bibr" rid="B29">Kownacka et&#xa0;al., 2022</xref>). The high proportion of fatty acids 18:3n-3 and 18:2n-6 in GoF indicates feeding on cyanobacteria or seston (<xref ref-type="bibr" rid="B11">Dalsgaard et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B41">Peters et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B50">Strandberg et&#xa0;al., 2015</xref>). Interestingly, the high mol% of 18:3n-3 in <italic>L. macrurus</italic> and the plankton community rarely coincided. The plankton community in BS was rich in 18:3n-3, while <italic>L. macrurus</italic> was not; in contrast, the <italic>L. macrurus</italic> of GoF had higher mean mol% of 18:3n-3 than the GoF plankton community had.</p>
<p>Long-chain monounsaturated fatty acids 20:1n-9 and 22:1n-11 were present in <italic>L. macrurus</italic> samples, although in low percentages. Both are important components of wax esters, and synthesized <italic>de novo</italic> by herbivorous copepods (<xref ref-type="bibr" rid="B18">Falk-Petersen et&#xa0;al., 2009</xref>). It is possible that they originate from herbivorous copepod prey, such as <italic>Acartia</italic> sp. or <italic>Eurytemora</italic> sp. (<xref ref-type="bibr" rid="B31">Lee et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B23">Helenius et&#xa0;al., 2020</xref>). Carnivorous feeding on other copepods in <italic>L. macrurus</italic> occurs in the Northern Baltic Sea, as reported by <xref ref-type="bibr" rid="B9">Dahlgren et&#xa0;al. (2012)</xref>.</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Future implications</title>
<p>The differences in fatty acid profiles between sea areas were explained by environmental factors, most importantly dissolved O<sub>2</sub>, chl <italic>a</italic>, salinity, and temperature. GoF was characterized by high temperature, salinity and chl <italic>a</italic>, but low levels of dissolved O<sub>2</sub>; the opposite was true to BB, which was low in temperature, salinity and chl <italic>a</italic>, but had relatively high dissolved O<sub>2</sub>. It is difficult to point direct effects of any of these environmental variables alone. Salinity may affect the fatty acid profiles of the plankton community by shaping the species composition (<xref ref-type="bibr" rid="B48">Schwenk et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B32">Lichti et&#xa0;al., 2017</xref>). Although temperature has direct effects on the metabolism and may at worst accelerate lipid peroxidation that is especially harmful to PUFAs (<xref ref-type="bibr" rid="B26">Hulbert et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B54">von Weissenberg et&#xa0;al., 2022</xref>), it is more likely that low EPA and DHA resulted from poor nutrition, instead of direct metabolic effects.</p>
<p>The spatial variability in the fatty acid composition of <italic>L. macrurus</italic> confirms that it is an opportunistic omnivore capable of utilizing multiple food sources. The diet shaped the fatty acid profiles and revealed that the supply of essential PUFAs was reduced in GoF possibly due to high temperature restricting the access to high-quality food in the upper water column. <xref ref-type="bibr" rid="B33">M&#xe4;kinen et&#xa0;al. (2017a)</xref> reported starvation of <italic>L. macrurus</italic> in BS due to high temperatures in the surface water layer and increased competition in the vertically narrowed habitat, which also decreased the survival of the adult population. The consequences of low-quality food or even starvation of <italic>L. macrurus</italic> can cascade further in the food web. <italic>L. macrurus</italic> is an important food source for a commercially important Baltic herring (<xref ref-type="bibr" rid="B19">Flinkman et&#xa0;al., 1992</xref>; <xref ref-type="bibr" rid="B44">Rajasilta et&#xa0;al., 2014</xref>). <xref ref-type="bibr" rid="B43">Rajasilta et&#xa0;al. (2019)</xref> reported a large decline in the lipid content of Baltic herring during 1987&#x2013;2014, and concluded that <italic>L. macrurus</italic> was the most important source of DHA and EPA to herring. Therefore, poor levels of these essential fatty acids in <italic>L. macrurus</italic> may affect fisheries in the Gulf of Finland.</p>
<p>The present study shows wide dietary variability of <italic>L. macrurus</italic> in the northern Baltic Sea. While the ability to utilize multiple food sources may increase the resilience of <italic>L. macrurus</italic> to environmental change, the further consequences of decreasing fatty acid quality may have cascading effects in planktivorous fish populations. Eutrophication and warming are suggested to decrease the availability of EPA and DHA, also in global scale (<xref ref-type="bibr" rid="B51">Strandberg et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B52">Taipale et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B53">Tan et&#xa0;al., 2022</xref>). Moreover, terrestrial organic matter together with increasing temperatures may lead to an increase of heterotrophic bacteria in the ecosystem (<xref ref-type="bibr" rid="B1">Andersson et&#xa0;al., 2023</xref>). The results in the present study show poor reserves of DHA and EPA in <italic>L. macrurus</italic> from the eutrophicated, hypoxic and warm GoF, which raises concerns about future trends in the pelagic communities of the Baltic Sea when temperature rises due to climate change.</p>
</sec>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="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>EW: Visualization, Writing &#x2013; original draft, Conceptualization, Formal analysis, Investigation, Writing &#x2013; review &amp; editing, Funding acquisition. HR: Writing &#x2013; review &amp; editing, Formal analysis, Methodology. MH: Writing &#x2013; review &amp; editing, Methodology. RK: Writing &#x2013; review &amp; editing, Formal analysis, Methodology. JE-&#xd6;: Writing &#x2013; review &amp; editing, Supervision, Conceptualization, Funding acquisition, Methodology.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. Funding for this research has been received from Onni Talaan s&#xe4;&#xe4;ti&#xf6; and Svenska Kulturfonden, and the publication of the research article is covered by the University of Helsinki.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We want to thank the Finnish Environment Institute and the Finnish Meteorological Institute for hydrographical data and sampling operation, and R/V <italic>Aranda</italic> as part of the Finnish Marine Infrastructure (FINMARI) for excellent research facilities. Thanks to the cruise leaders Pekka Kotilainen and Maiju Lehtiniemi, and the crew of COMBINE III for your hospitality and guidance on board of R/V <italic>Aranda</italic>. Special thanks to Lisa Naeve for the invaluable assistance in sampling during the cruise. We are grateful for the laboratory facilities provided by the Helsinki University Lipidomics Unit. Thanks to Sanna Sihvo for gas chromatography and guidance in the laboratory.</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="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="s11" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmars.2024.1340349/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2024.1340349/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table_1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
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