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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.2023.1197468</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>Changing nutritional seascapes of kelp forests</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Shalders</surname>
<given-names>Tanika C.</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>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1877552"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Champion</surname>
<given-names>Curtis</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1119480"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Benkendorff</surname>
<given-names>Kirsten</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/159193"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Davis</surname>
<given-names>Tom</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1051766"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wernberg</surname>
<given-names>Thomas</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/139805"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Morris</surname>
<given-names>Stephen</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2373662"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Coleman</surname>
<given-names>Melinda A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/801816"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Faculty of Science and Engineering, National Marine Science Centre, Southern Cross University</institution>, <addr-line>Coffs Harbour, NSW</addr-line>, <country>Australia</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Fisheries Research, New South Wales (NSW) Department of Primary Industries, National Marine Science Centre</institution>, <addr-line>Coffs Harbour, NSW</addr-line>, <country>Australia</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>The University of Western Australia (UWA) Oceans Institute &amp; School of Biological Sciences, University of Western Australia</institution>, <addr-line>Perth, WA</addr-line>, <country>Australia</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Fl&#xf8;devigen Research Station, Institute of Marine Research</institution>, <addr-line>His</addr-line>, <country>Norway</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>New South Wales Department of Primary Industries, Wollongbar Primary Industries Institute</institution>, <addr-line>Wollongbar, NSW</addr-line>, <country>Australia</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: George Jackson, Loma Linda University, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Lydia Ladah, Center for Scientific Research and Higher Education in Ensenada (CICESE), Mexico; Patti Virtue, University of Tasmania, Australia</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Tanika C. Shalders, <email xlink:href="mailto:tanika.shalders@gmail.com">tanika.shalders@gmail.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>21</day>
<month>11</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1197468</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>03</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>11</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Shalders, Champion, Benkendorff, Davis, Wernberg, Morris and Coleman</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Shalders, Champion, Benkendorff, Davis, Wernberg, Morris and Coleman</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>Ocean warming and short-term extreme events (e.g. marine heatwaves) are becoming more intense and frequent and have had major impacts on ecosystems. Seaweeds are foundational components of temperate reefs, providing nutrition for a diversity of species and underpinning temperate food webs. While the impacts of climate-driven environmental change on seaweed distribution, abundance and interactions are well studied, potential impacts on the provision of nutrients from seaweeds and their availability to consumers remain poorly understood. Here, we use metabolomic and lipidomic approaches to understand how the provision of nutrients from key seaweeds may be altered under climate change. We optimize a small-scale microextraction technique to test the effects of warming and marine heatwaves on the nutritional quality of two Australian habitat-forming seaweeds; <italic>Ecklonia</italic> and <italic>Sargassum</italic>. We then model changes in lipid availability in response to climate-driven ocean warming throughout <italic>Ecklonia</italic>&#x2019;s eastern Australian distribution. Contrary to expectations, ocean warming and marine heatwaves had limited effects on seaweed nutritional quality, indicating resilience in the nutritional value of these species to climate-driven warming. However, nutritional quality varied significantly between species, which presents new implications for predicted species redistributions from the base of the food chain. Modelling revealed a projected net loss of 3.5% of lipids across the east coast of Australia by 2100 under RCP 8.5 in response to shifts in the redistribution of <italic>Ecklonia</italic> biomass. The climate-driven redistribution of seaweeds is likely to alter the availability of seaweed-derived nutrients to consumers, which may have broad implications for the transfer of energy within temperate marine food webs.</p>
</abstract>
<kwd-group>
<kwd>
<italic>Ecklonia radiata</italic>
</kwd>
<kwd>marine heatwaves</kwd>
<kwd>nutritional quality</kwd>
<kwd>ocean warming</kwd>
<kwd>
<italic>Sargassum linearifolium</italic>
</kwd>
<kwd>species distributions</kwd>
<kwd>fatty acids</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="110"/>
<page-count count="17"/>
<word-count count="9470"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Marine Molecular Biology and Ecology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Primary producers, such as seaweeds, are foundational components of temperate coasts providing habitat and nutrition that underpins diverse ecosystems (<xref ref-type="bibr" rid="B14">Christie et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B6">Bennett et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B88">Teagle et&#xa0;al., 2017</xref>). Seaweeds are threatened globally by ocean warming and marine heatwaves, which cause shifts in distributions and restructure temperate ecosystems (<xref ref-type="bibr" rid="B97">Verg&#xe9;s et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B44">Krumhansl et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B83">Smale, 2020</xref>; <xref ref-type="bibr" rid="B62">Michaud et&#xa0;al., 2022</xref>). Many studies suggest that continuous and discrete warming could have substantial effects on seaweed morphology (<xref ref-type="bibr" rid="B31">Geppi and Riera, 2022</xref>), physiology (<xref ref-type="bibr" rid="B91">Van Den Hoek, 1982</xref>; <xref ref-type="bibr" rid="B108">Wernberg et&#xa0;al., 2013a</xref>; <xref ref-type="bibr" rid="B75">Rom&#xe1;n et&#xa0;al., 2020</xref>), phenology (<xref ref-type="bibr" rid="B15">Coleman and Brawley, 2005</xref>; <xref ref-type="bibr" rid="B21">de Bettignies et&#xa0;al., 2018</xref>), abundance (<xref ref-type="bibr" rid="B20">Davis et&#xa0;al., 2021</xref>), distribution (<xref ref-type="bibr" rid="B50">Lima et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B107">Wernberg et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B10">Casado-Amez&#xfa;a et&#xa0;al., 2019</xref>) and genetics (<xref ref-type="bibr" rid="B19">Coleman et&#xa0;al., 2020b</xref>; <xref ref-type="bibr" rid="B36">Gurgel et&#xa0;al., 2020</xref>). Such changes may have subsequent effects to seaweed consumers that perpetuate throughout the entire food chain (<xref ref-type="bibr" rid="B66">Parrish, 2009</xref>; <xref ref-type="bibr" rid="B55">Lozano-Montes et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B43">Jin et&#xa0;al., 2020</xref>). Despite their importance to temperate marine food webs, limited research has investigated the effects of climate change on the small bioactive compounds that contribute to seaweed nutritional quality (e.g. metabolites, but see <xref ref-type="bibr" rid="B65">Park et&#xa0;al., 2023</xref>).</p>
<p>Seaweeds contribute to the health of marine life through the provision of essential nutrients, such as essential fatty acids (<xref ref-type="bibr" rid="B60">McCauley et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B82">Skrzypczyk et&#xa0;al., 2019</xref>), antioxidants, vitamins and minerals (<xref ref-type="bibr" rid="B57">MacArtain et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B102">Wells et&#xa0;al., 2017</xref>). Whilst these essential nutrients form a minor component of a seaweeds composition, they have a disproportional importance in nutrition due to intrinsic bioactive properties (<xref ref-type="bibr" rid="B53">Lopes et&#xa0;al., 2020</xref>). It remains poorly understood, however, whether climate-driven environmental change will impact these nutrients in seaweeds and thus their availability to seaweed consumers. Reductions to the nutritional quality of seaweeds (e.g. lower levels of essential fatty acids) are likely to affect the trophic transfer of nutrients within marine ecosystems (<xref ref-type="bibr" rid="B66">Parrish, 2009</xref>; <xref ref-type="bibr" rid="B55">Lozano-Montes et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B43">Jin et&#xa0;al., 2020</xref>), potentially compromising reproduction in marine invertebrates and fish (<xref ref-type="bibr" rid="B52">Litzow et&#xa0;al., 2006</xref>), with potential flow on effects to higher tropic levels (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>; <xref ref-type="bibr" rid="B101">Wanless et&#xa0;al., 2005</xref>). Given the implications for consumers and the subsequent trophic transfer of energy within marine food webs, understanding the impacts of climate change on the nutritional quality of seaweeds is an important research frontier. The application of molecular techniques, such as metabolomics and lipidomics, presents a new pathway to assess such impacts but have not yet been widely employed to understand the change in nutritional composition of seaweeds.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>A representative temperate food web and biosynthetic pathway illustrating: <bold>(A)</bold> the potential trophic transfer of nutrients derived from <italic>Ecklonia</italic> (green) and <italic>Sargassum</italic> (orange) to higher trophic levels under current and future scenarios. <bold>(B)</bold> The biosynthetic pathway of omega-3 fatty acids EPA and DHA illustrating potential future changes to temperate food webs. The bars indicate the absolute difference in percent content in each fatty acid by species (shown by colour). Greater total levels of omega-3 fatty acids in <italic>Ecklonia</italic>, relative to <italic>Sargassum</italic>, indicate a likely decrease in availability at low latitude temperate marine ecosystems under future ocean conditions in east Australia.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1197468-g001.tif"/>
</fig>
<p>Lipid- and metabolomics methods can be applied to quantify nutritionally valuable compounds in seaweed (e.g. omega-3 fatty acids, sugars and amino acids; <xref ref-type="bibr" rid="B45">Kumar et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B9">Britton et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B13">Choudhary et&#xa0;al., 2021</xref>). These compounds function as building blocks and end products of cellular processes in seaweeds and have beneficial properties for both seaweeds and their consumers. Differences in the composition of these compounds among species and in response to environmental change can provide insights into the health, nutritional quality and physiology of seaweeds (<xref ref-type="bibr" rid="B8">Britton et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B32">Ghaderiardakani et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B65">Park et&#xa0;al., 2023</xref>). The new application of molecular techniques to seaweeds is improving our understanding of biological responses to ocean warming and marine heatwaves, including in the concentration of key nutritional compounds. For example, <xref ref-type="bibr" rid="B8">Britton et&#xa0;al. (2020)</xref> found that exposure to marine heatwaves and future ocean conditions led to the saturation of fatty acids in the macroalga <italic>Phyllospora comosa</italic>. However, considerable scope remains to expand our understanding of biological responses to environmental change using molecular techniques. For instance, combining nutritional responses derived through molecular methods to model the condition and quality of marine species in response to climate change (<xref ref-type="bibr" rid="B7">Bolin et&#xa0;al., 2021</xref>) presents a valuable opportunity to understand likely future implications across marine food webs.</p>
<p>Extreme events such as marine heatwaves have had major impacts on the cooccurring temperate seaweeds, <italic>Ecklonia radiata</italic> and <italic>Sargassum linearifolium</italic>, throughout their Australian distributions (<xref ref-type="bibr" rid="B95">Verg&#xe9;s et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B87">Straub et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B36">Gurgel et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B103">Wernberg, 2021</xref>). Combined with <italic>Phyllospora comosa</italic>, our study species, <italic>Ecklonia radiata</italic> and <italic>S. linearifolium</italic> are the dominant habitat forming species found on subtidal rocky reefs, throughout New South Wales, Australia (<xref ref-type="bibr" rid="B48">Layton et&#xa0;al., 2020</xref>). Within the region and throughout Australia&#x2019;s Great Southern Reef, these species provide essential ecosystem services (including food and habitat) supporting diverse marine communities (<xref ref-type="bibr" rid="B18">Coleman and Wernberg, 2017</xref>; <xref ref-type="bibr" rid="B105">Wernberg et&#xa0;al., 2019</xref>). As primary producers, these seaweeds are at the base of the food chain supporting species such as abalone, sea urchins and many species of fish, which in turn are a vital food source for larger marine species (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>; <xref ref-type="bibr" rid="B93">Vanderklift and Wernberg, 2010</xref>; <xref ref-type="bibr" rid="B71">Provost et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B63">Miranda et&#xa0;al., 2019</xref>). A better understanding of how the nutritional quality of these primary producers will be affected by climate change is vital to anticipate and manage changes throughout the temperate Australian marine environment, including the ecological and economic values it supports.</p>
<p>Here, we test the effects of ocean warming and MHWs on the nutritional quality of two of the most dominant seaweed species on Australian temperate reefs, <italic>E. radiata</italic>, and <italic>S. linearifolium</italic>. Specifically, we (1) tested the effects of warming and different types of MHWs on seaweed nutritional quality and the ability of these parameters to recover from impacts, (2) compared the nutritional quality of the two species&#x2019;, and (3) estimated climate-driven shifts in <italic>Ecklonia</italic> lipid availability along Australia&#x2019;s east coast by integrating our results with projections of the redistribution of biomass for this species under multiple climate change scenarios.</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>Experimental setup and treatment conditions</title>
<p>Individual whole plants of <italic>Ecklonia radiata</italic> and <italic>Sargassum linearifolium</italic> (hereafter &#x2018;<italic>Ecklonia</italic>&#x2019; and &#x2018;<italic>Sargassum</italic>&#x2019;), were collected by SCUBA in Sydney, Australia (34&#xb0;03&#x2019;59.0&#x201d;S 151&#xb0;09&#x2019;44.3&#x201d;E) under NSW DPI permits (P01/0059(A)-3.0 and OUT17/7525). Carefully keeping the holdfasts intact, 150 whole juvenile plants (&lt; 30cm total length) were collected per species from a shallow subtidal rocky reef between 3 to 6m depth. Within 4h of collection, the plants were transported (by air) to the National Marine Science Centre in Coffs Harbour, Australia and placed in 1000 L mesocosms with flowing seawater, weighed down by the holdfast. Following the methods described by <xref ref-type="bibr" rid="B86">Straub et&#xa0;al. (2021)</xref> plants were acclimated for 6d before the application of experimental temperature treatments. Four ocean temperature treatments were applied over 48d. The four treatments were i) ambient (22&#xb0;C), ii) warming (24&#xb0;C), iii) heatwave non-variable (HWnon) &#x2013; remaining at 22&#xb0;C for 20d before moving to 27&#xb0;C for 20d and back to 22&#xb0;C for 8d, and iv) heatwave variable (HWvar) &#x2013; exposed to rapid fluctuations between 22 and 24&#xb0;C for 8d (temperature variability), remaining at 22&#xb0;C for 6d moving to a heatwave at 27&#xb0;C for 20d and back to 22&#xb0;C for 8d (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). The magnitude of cumulative intensity was similar among treatments throughout the experiment (warming = 96 degree-days, HWnon = 85 degree-days, and HWvar = 97 degree-days cumulative intensity above the ambient treatment; <xref ref-type="bibr" rid="B39">Hobday et&#xa0;al., 2016</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Experimental temperature treatment profiles: ambient (22&#xb0;C), warming (24&#xb0;C), HWnon (MHW from 22&#xb0;C to 27&#xb0;C and back to 22&#xb0;C), and HWvar (initial fluctuations between 22-24&#xb0;C, followed by a MHW to 27&#xb0;C and back to 22&#xb0;C). HWnon and HWvar treatments were offset by &#xb1; 0.2&#xb0;C to avoid stacking of lines. Vertical dashed lines indicate sampling events (days 20, 33 and 48; modified from <xref ref-type="bibr" rid="B86">Straub et&#xa0;al., 2021</xref>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1197468-g002.tif"/>
</fig>
<p>Twenty aerated mesocosms (80cm diameter &#xd7; 45cm high, 230L water volume) received a continuous inflow (flowrate &#x2248; 2L min<sup>-1</sup>) of filtered seawater (50&#x3bc;m) from Charlesworth Bay (30&#xb0;16&#x2019;3.78&#x201d;S, 153&#xb0; 8&#x2019;25.60&#x201d;E). Three header tanks with heater/chillers units (Aquahort Ltd.) controlled experimental temperatures at 22, 24, and 27&#xb0;C, respectively. At the start of the experimental period, five tanks were assigned per treatment, and seven individual <italic>Ecklonia</italic> and <italic>Sargassum</italic> plants were placed within each tank (see <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>). Seaweeds acclimated at 22&#xb0;C were randomly allocated to ambient, HWnon, and HWvar treatments (which start at 22&#xb0;C) and seaweeds acclimated at 24&#xb0;C were randomly allocated to a warming treatment tank (<italic>n</italic> = 14 plants/tank).</p>
<p>Tissue samples were collected on day 20 (after temperature variation, before marine heatwave), day 33 (12d into the marine heatwave), and day 48 (one-week recovery post-heatwave). At each sampling, a 9 mm hole punch was used to collect samples from the meristem of <italic>Ecklonia</italic> and tweezers were used to remove approximately 20 fronds of <italic>Sargassum</italic>. Each time, three independent plants, per species (<italic>n</italic> = 3) were sampled (see <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>). Samples were collected from three of the five independent tanks to generate experimental replicates and no plant was sampled twice, allowing the inclusion of &#x2018;exposure time&#x2019; as an independent experimental factor. Following best practice, tissue samples were immediately snap-frozen in liquid nitrogen and frozen at &#x2013; 80&#xb0;C until analysis (<xref ref-type="bibr" rid="B46">Kumari, 2017</xref>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Lipid and fatty acid extraction and analysis</title>
<p>Lipids were extracted from seaweed samples using a scaled-down approach modified from <xref ref-type="bibr" rid="B29">Folch et&#xa0;al. (1957)</xref> standard procedures, which accounted for the small sample weight obtained from the <italic>Ecklonia</italic> and <italic>Sargassum</italic> (0.07 &#xb1; 0.01 and 0.13 &#xb1; 0.07 g wet weight, respectively). Using analytical grade solvents (Sigma-Aldrich), samples were soaked in 2:1 chloroform:methanol, then polarized using 0.9% NaCl solution to obtain the lipophilic (chloroform) layer. The lipophilic layer was, transferred to a pre-weighed vial and dried using high-purity nitrogen gas to obtain the lipid extract weight. Lipid extracts were resuspended at 1mg mL<sup>-1</sup> in dichloromethane:methanol (50/50 v/v). Total lipid concentration was expressed as a percentage of wet tissue weight for each extracted sample.</p>
<p>Lipid extracts were analyzed using direct infusion mass spectrometry (DIMS) using a high-resolution SCIEX 5600 Triple-TOF (<xref ref-type="bibr" rid="B80">Simons et&#xa0;al., 2012</xref>). Samples were run in both positive and negative modes with a flow rate of 200&#xb5;L min<sup>-1</sup>. MS/MS reactions were obtained for peaks in the range of 500&#x2013;1250 Da. Obtained spectra were analyzed using Lipidview&#x2122; 1.3 software (SCIEX) for lipid class and fatty acid composition (<xref ref-type="bibr" rid="B25">Ejsing et&#xa0;al., 2006</xref>). Thirty-three lipid classes and 43 fatty acids were detected using both positive and negative detection modes. Because the negative mode detected more lipid classes and fatty acids, the subsequent analysis used negative mode data only to avoid overrepresenting lipids detected in both modes. Lipid classes and fatty acids less than 0.01% were excluded from statistical analyses, and the remaining relative proportion of 13 lipid classes and 19 fatty acids were analyzed separately. The relative compositions (total percent) summed for saturated, monounsaturated and polyunsaturated fatty acids, the &#x3c9;-3 index and &#x3c9;-6/&#x3c9;-3 ratio were also analyzed. The fatty acid double bond isomers cannot be identified using this method of mass spectrometry which limited our ability to distinguish between some fatty acid families (e.g. C20:3n-3/6/9 and C22:5n-3/6). Consequently, the &#x3c9;-3 index was calculated as the proportion of eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) expressed as a percent of total fatty acids. The &#x3c9;-6/&#x3c9;-3 PUFA ratio was calculated as arachidonic acid (ARA) divided by the sum of EPA and DHA.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Metabolomic extraction and analysis</title>
<p>Tissue subsamples were freeze-dried and derivatized for metabolite analysis using a modified, scaled-down approach based on methods described by <xref ref-type="bibr" rid="B56">Mabuchi et&#xa0;al. (2018</xref>; adapted from <xref ref-type="bibr" rid="B51">Lisec et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B69">Pongsuwan et&#xa0;al., 2007</xref>). A mixed solution of 2.5:1 methanol/ultrapure water/chloroform was used to extract hydrophilic primary metabolites in 15.73 (&#xb1; 2.00) and 13.19 (&#xb1; 1.30) mg of freeze-dried and macerated <italic>Ecklonia</italic> and <italic>Sargassum</italic>, respectively, with 0.2 &#xb5;g mg<sup>-1</sup> sample (dry weight) of ribitol (Sigma-Aldrich) added as an internal standard. The mixture was stirred for 5 min and centrifuged for a further 5 min (16,000xg, 4&#xb0;C) and freeze-dried (~16h). Oxime formation was carried out by adding methoxyamine hydrochloride solubilized with pyridine (20mg/mL, 50&#xb5;L) to the freeze-dried sample (35&#xb0;C for 80 min). A trimethylsilylation reaction at 40&#xb0;C for 40 min was induced using N-methyl-N-(trimethylsilyl) trifluoroacetamide (100&#xb5;L).</p>
<p>Derivatized metabolite samples were analyzed by gas chromatography-mass spectrometry (GC-MS) using an Agilent 6890A Gas Chromatograph fitted with an Agilent 5973N Mass Selective Detector. The samples were injected with a split ratio of 50:1 using helium carrier gas at 32cm sec<sup>&#x2013;1</sup> constant flow and an inlet temperature of 280&#xb0;C. Separating volatile compounds by using a Phenomenex ZB-5 column (60m x 0.25mm x 250&#xb5;m) starting at 60&#xb0;C with a 3 min hold, then ramped at 8&#xb0;C min<sup>&#x2013;1</sup> to 330&#xb0;C (44.75min) then held for 8min. The temperature of the mass spectrometer transfer line was 280&#xb0;C. The mass spectra were recorded at 70 eV ionisation voltage over the mass range of 45 to 600amu. Peaks were identified by comparison of spectra with MS databases (WILEY 275 and NIST14), along with retention times and elution order. In instances where the compounds could not be positively identified, the compounds were assigned to a metabolite class when possible, based on examination of similarities in the major fragment ions corresponding to functional groups (see <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>). The relative abundance of each metabolite was quantified by TIC peak area integration from the GC and expressed as a percentage of the total in each run.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Statistical analysis</title>
<sec id="s2_4_1">
<label>2.4.1</label>
<title>Nutritional quality</title>
<p>Linear mixed models were fitted to assess the effects of seaweed species, treatment, exposure time and their interactions on each nutritional quality response measured. Models used a gaussian distribution and included a random effect for tank ID to accommodate the nesting of tanks within treatments. Model residuals were inspected graphically to check for variance heterogeneity and non-normality. A natural log transformation of the data was required for several responses to meet the assumptions of normality and homogeneity of variance. An analysis of variance was derived from each model to test the effect of species, treatment, exposure time and their interaction. The models were then used to estimate the effects of species, treatment and time in various combinations as required. <italic>Post-hoc</italic> statistical comparisons of the estimates were made by Tukey&#x2019;s test. The data analysis was conducted in the R environment (<xref ref-type="bibr" rid="B72">R Core Team, 2022</xref>) using the lme4 (<xref ref-type="bibr" rid="B3">Bates et&#xa0;al., 2015</xref>) and emmeans (<xref ref-type="bibr" rid="B49">Lenth, 2021</xref>) packages for modelling and estimation. Multivariate analysis of overall nutritional change confirmed species-specific differences in the compositional data (see <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>).</p>
</sec>
<sec id="s2_4_2">
<label>2.4.2</label>
<title>Climate change projections</title>
<p>Projections of <italic>Ecklonia</italic> lipid availability off the eastern Australian coast (28.0 &#x2013; 37.5&#xb0;S) were created using models of future <italic>Ecklonia</italic> biomass developed by <xref ref-type="bibr" rid="B20">Davis et&#xa0;al. (2021)</xref>. Briefly, <italic>Ecklonia</italic> biomass projections were constructed using generalized additive mixed effect models (GAMMs) for the period 2090&#x2013;2100 under representative concentration pathway (RCP) scenarios 2.6, 6.0 and 8.5 (<xref ref-type="bibr" rid="B42">IPCC, 2014</xref>). These projections incorporate ecological interaction effects with the urchin <italic>Centrostephanus rodgersii</italic> and accounted for the effects of key environmental parameters (habitat availability, light and <italic>in situ</italic> temperatures) that drive <italic>Ecklonia</italic> occurrence and cover (see more detail in <xref ref-type="bibr" rid="B20">Davis et&#xa0;al., 2021</xref>). As the total extracted lipids per gram wet weight of <italic>Ecklonia</italic> did not differ between temperature treatments (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>), the mean percentage of total <italic>Ecklonia</italic> lipids (1.4%) was used as a conversion factor to translate projected <italic>Ecklonia</italic> biomass values into lipid availability. The projected lipid availability maps were created in the R environment using the tidyverse suite of packages (<xref ref-type="bibr" rid="B110">Wickham et&#xa0;al., 2019</xref>). We focus our future projections of lipid availability on <italic>Ecklonia</italic> only as this is the dominant seaweed species occurring throughout the study extent and because comparable biomass projections are still underway for <italic>Sargassum</italic>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Summary table of 3-factor ANOVA of relative percentage of lipid content (% wet weight) and lipid class composition from <italic>Ecklonia</italic> and <italic>Sargassum</italic> tissue exposed to four different temperature profiles (ambient, HWnon, HWvar, and warming), sampled before (20 days), during (33 days) and after (48 days) a simulated marine heatwave.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="bottom" rowspan="3" align="center">Lipid</th>
<th valign="bottom" colspan="14" align="center">ANOVA</th>
</tr>
<tr>
<th valign="bottom" colspan="2" align="center">Species</th>
<th valign="bottom" colspan="2" align="center">Treatment</th>
<th valign="bottom" colspan="2" align="center">Time</th>
<th valign="bottom" colspan="2" align="center">Species:<break/>Treatment</th>
<th valign="bottom" colspan="2" align="center">Treatment:<break/>Time</th>
<th valign="bottom" colspan="2" align="center">Species:<break/>Time</th>
<th valign="bottom" colspan="2" align="center">Species:<break/>Treatment:<break/>Time</th>
</tr>
<tr>
<th valign="middle" align="center">
<italic>F</italic>
<sub>(df)</sub>
</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">
<italic>F</italic>
<sub>(df)</sub>
</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">
<italic>F</italic>
<sub>(df)</sub>
</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">
<italic>F</italic>
<sub>(df)</sub>
</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">
<italic>F</italic>
<sub>(df)</sub>
</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">
<italic>F</italic>
<sub>(df)</sub>
</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">
<italic>F</italic>
<sub>(df)</sub>
</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="right">
<bold>Content</bold>
</td>
<td valign="middle" align="left">3.2<sub>(1)</sub>
</td>
<td valign="middle" align="left">0.080</td>
<td valign="middle" align="left">1.0<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.933</td>
<td valign="middle" align="left">2.0<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.152</td>
<td valign="middle" align="left">0.6<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.635</td>
<td valign="middle" align="left">1.5<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.196</td>
<td valign="middle" align="left">0.4<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.680</td>
<td valign="middle" align="left">0.4<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.867</td>
</tr>
<tr>
<th valign="middle" colspan="15" align="left">Class</th>
</tr>
<tr>
<td valign="middle" align="right">Phosphatidic acid (PA)<sup>a</sup>
</td>
<td valign="middle" align="left">241.4<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">0.0<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.997</td>
<td valign="middle" align="left">1.0<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.393</td>
<td valign="middle" align="left">0.8<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.499</td>
<td valign="middle" align="left">1.8<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.115</td>
<td valign="middle" align="left">1.9<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.162</td>
<td valign="middle" align="left">3.0<sub>(6)</sub>
</td>
<td valign="middle" align="left">
<bold>0.016</bold>
</td>
</tr>
<tr>
<td valign="middle" align="right">Phosphatidylcholine (PC)</td>
<td valign="middle" align="left">180.6<sub>(1,32)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">0.4<sub>(3,12)</sub>
</td>
<td valign="middle" align="left">0.792</td>
<td valign="middle" align="left">0.4<sub>(2,41)</sub>
</td>
<td valign="middle" align="left">0.655</td>
<td valign="middle" align="left">1.1<sub>(3,32)</sub>
</td>
<td valign="middle" align="left">0.382</td>
<td valign="middle" align="left">1.0<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.433</td>
<td valign="middle" align="left">0.8<sub>(2,36)</sub>
</td>
<td valign="middle" align="left">0.441</td>
<td valign="middle" align="left">1.4<sub>(6,36)</sub>
</td>
<td valign="middle" align="left">0.261</td>
</tr>
<tr>
<td valign="middle" align="right">Phosphatidylethanolamine (PE)<sup>a</sup>
</td>
<td valign="middle" align="left">187.5<sub>(1,35)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">0.9<sub>(3,12)</sub>
</td>
<td valign="middle" align="left">0.482</td>
<td valign="middle" align="left">2.7<sub>(2,43)</sub>
</td>
<td valign="middle" align="left">0.079</td>
<td valign="middle" align="left">0.7<sub>(3,35)</sub>
</td>
<td valign="middle" align="left">0.539</td>
<td valign="middle" align="left">0.8<sub>(6,43)</sub>
</td>
<td valign="middle" align="left">0.583</td>
<td valign="middle" align="left">1.0<sub>(2,40)</sub>
</td>
<td valign="middle" align="left">0.370</td>
<td valign="middle" align="left">1.2<sub>(6,39)</sub>
</td>
<td valign="middle" align="left">0.347</td>
</tr>
<tr>
<td valign="middle" align="right">Phosphatidylglycerol (PG)</td>
<td valign="middle" align="left">23.2<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">1.4<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.257</td>
<td valign="middle" align="left">1.7<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.192</td>
<td valign="middle" align="left">0.4<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.762</td>
<td valign="middle" align="left">0.5<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.776</td>
<td valign="middle" align="left">0.7<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.493</td>
<td valign="middle" align="left">1.5<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.187</td>
</tr>
<tr>
<td valign="middle" align="right">Phosphatidylinositol (PI)<sup>a</sup>
</td>
<td valign="middle" align="left">37.7<sub>(1,39)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">1.1<sub>(3,17)</sub>
</td>
<td valign="middle" align="left">0.397</td>
<td valign="middle" align="left">7.6<sub>(2,44)</sub>
</td>
<td valign="middle" align="left">
<bold>0.001</bold>
</td>
<td valign="middle" align="left">0.5<sub>(3,39)</sub>
</td>
<td valign="middle" align="left">0.679</td>
<td valign="middle" align="left">1.6<sub>(6,44)</sub>
</td>
<td valign="middle" align="left">0.183</td>
<td valign="middle" align="left">1.0<sub>(2,42)</sub>
</td>
<td valign="middle" align="left">0.372</td>
<td valign="middle" align="left">2.2<sub>(6,42)</sub>
</td>
<td valign="middle" align="left">0.065</td>
</tr>
<tr>
<td valign="middle" align="right">Phosphatidylserine (PS)</td>
<td valign="middle" align="left">7.1<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>0.011</bold>
</td>
<td valign="middle" align="left">1.0<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.418</td>
<td valign="middle" align="left">0.3<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.717</td>
<td valign="middle" align="left">1.4<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.262</td>
<td valign="middle" align="left">1.7<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.139</td>
<td valign="middle" align="left">0.1<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.904</td>
<td valign="middle" align="left">2.0<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.080</td>
</tr>
<tr>
<td valign="middle" align="right">Cardiolipin (CL)</td>
<td valign="middle" align="left">92.2<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">1.5<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.233</td>
<td valign="middle" align="left">1.1<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.334</td>
<td valign="middle" align="left">2.9<sub>(3)</sub>
</td>
<td valign="middle" align="left">
<bold>0.046</bold>
</td>
<td valign="middle" align="left">0.8<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.565</td>
<td valign="middle" align="left">3.6<sub>(2)</sub>
</td>
<td valign="middle" align="left">
<bold>0.034</bold>
</td>
<td valign="middle" align="left">0.3<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.954</td>
</tr>
<tr>
<td valign="middle" align="right">Diacylglycerol pyrophosphate (DGPP)</td>
<td valign="middle" align="left">14.9<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">0.8<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.485</td>
<td valign="middle" align="left">0.5<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.632</td>
<td valign="middle" align="left">0.4<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.778</td>
<td valign="middle" align="left">1.0<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.456</td>
<td valign="middle" align="left">0.6<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.541</td>
<td valign="middle" align="left">1.6<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.172</td>
</tr>
<tr>
<td valign="middle" align="right">Monomethylphosphatidyl ethanolamine (MMPE)</td>
<td valign="middle" align="left">4.3<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>0.043</bold>
</td>
<td valign="middle" align="left">0.7<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.549</td>
<td valign="middle" align="left">1.6<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.224</td>
<td valign="middle" align="left">0.4<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.758</td>
<td valign="middle" align="left">0.7<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.645</td>
<td valign="middle" align="left">0.4<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.699</td>
<td valign="middle" align="left">1.2<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.345</td>
</tr>
<tr>
<td valign="middle" align="right">1,2-Dimyristoyl-sn-glycero-3-phosphorylethanolamine (DMPE)</td>
<td valign="middle" align="left">15.8<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">1.0<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.442</td>
<td valign="middle" align="left">3.8<sub>(2)</sub>
</td>
<td valign="middle" align="left">
<bold>0.033</bold>
</td>
<td valign="middle" align="left">7.0<sub>(3)</sub>
</td>
<td valign="middle" align="left">
<bold>0.001</bold>
</td>
<td valign="middle" align="left">2.8<sub>(6)</sub>
</td>
<td valign="middle" align="left">
<bold>0.024</bold>
</td>
<td valign="middle" align="left">9.4<sub>(2)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">1.8<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.122</td>
</tr>
<tr>
<td valign="middle" align="right">Phosphatidylinositol-4-phosphate (PIP)<sup>a</sup>
</td>
<td valign="middle" align="left">20.9<sub>(1,31)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">1.2<sub>(3,11)</sub>
</td>
<td valign="middle" align="left">0.346</td>
<td valign="middle" align="left">1.2<sub>(2,41)</sub>
</td>
<td valign="middle" align="left">0.320</td>
<td valign="middle" align="left">3.1<sub>(3,31)</sub>
</td>
<td valign="middle" align="left">
<bold>0.042</bold>
</td>
<td valign="middle" align="left">1.2<sub>(6,40)</sub>
</td>
<td valign="middle" align="left">0.343</td>
<td valign="middle" align="left">0.4<sub>(2,36)</sub>
</td>
<td valign="middle" align="left">0.658</td>
<td valign="middle" align="left">0.8<sub>(6,35)</sub>
</td>
<td valign="middle" align="left">0.591</td>
</tr>
<tr>
<td valign="middle" align="right">Cytidine diphosphate diacylglycerol (CDPDAG)<sup>a</sup>
</td>
<td valign="middle" align="left">267.0<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">1.4<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.244</td>
<td valign="middle" align="left">0.9<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.404</td>
<td valign="middle" align="left">1.9<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.149</td>
<td valign="middle" align="left">2.0<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.083</td>
<td valign="middle" align="left">5.2<sub>(2)</sub>
</td>
<td valign="middle" align="left">
<bold>0.009</bold>
</td>
<td valign="middle" align="left">1.9<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.101</td>
</tr>
<tr>
<td valign="middle" align="right">Sulfatide galactosylceramide (SGalCer)<sup>a</sup>
</td>
<td valign="middle" align="left">3.7<sub>(1,27)</sub>
</td>
<td valign="middle" align="left">0.066</td>
<td valign="middle" align="left">0.7<sub>(3,6)</sub>
</td>
<td valign="middle" align="left">0.600</td>
<td valign="middle" align="left">1.0<sub>(2,41)</sub>
</td>
<td valign="middle" align="left">0.365</td>
<td valign="middle" align="left">0.7<sub>(3,27)</sub>
</td>
<td valign="middle" align="left">0.586</td>
<td valign="middle" align="left">0.7<sub>(6,40)</sub>
</td>
<td valign="middle" align="left">0.640</td>
<td valign="middle" align="left">0.4<sub>(2,34)</sub>
</td>
<td valign="middle" align="left">0.652</td>
<td valign="middle" align="left">2.0<sub>(6,34)</sub>
</td>
<td valign="middle" align="left">0.093</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Significant values in bold. <sup>a</sup>Log-transformed. Degrees of freedom (df) differ depending on whether a linear model or mixed linear model was used to analyse the data.</p>
</fn>
<fn>
<p>Ambient and warming treatments were kept at a steady temperature throughout.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Effects of ocean warming and marine heatwaves</title>
<p>Overall, the ocean warming and marine heatwave treatments showed minimal impacts on the nutrient content of <italic>Ecklonia</italic> and <italic>Sargassum</italic>. However, univariate analysis of the lipid classes showed that the interaction between species and treatment were statistically significant for 1,2-Dimyristoyl-sn-glycero-3-phosphorylethanolamine (DMPE), cardiolipin (CL) and phosphatidic acid (PA; <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). <italic>Post hoc</italic> pairwise comparisons showed that the interactive effect of species and treatment on DMPE was driven by significantly lower levels of DMPE in <italic>Sargassum</italic> from the ambient treatment relative to the HWnon treatment (<italic>p</italic> &lt; 0.05). This difference was not observed for <italic>Ecklonia</italic>. Pair-wise tests did not detect any significant differences in CL composition among treatments for either species (<italic>p</italic> &gt; 0.05). A significant interaction was observed for PA between species, treatment and exposure time. The <italic>post-hoc</italic> pairwise comparisons showed that after 33 days (12 days into the heatwaves) phosphatidic acid was significantly lower in <italic>Ecklonia</italic> from the HWnon temperature treatment compared to the ambient treatment (1.8%, <italic>p</italic> &lt; 0.05); this trend was not observed for <italic>Sargassum</italic> or after a period of recovery (at 48 days). The trends in HWnon phosphatidic acid concentration throughout the experiment aligned with the HWnon maximum quantum yield of the <italic>Ecklonia</italic> meristem (as reported in <xref ref-type="bibr" rid="B86">Straub et&#xa0;al., 2021</xref>, <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). The concentration of phosphatidic acid was higher under ambient conditions at this sampling time relative to both heatwave treatments.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>
<italic>Ecklonia</italic> <bold>(A)</bold> phosphatidic acid concentration, and <bold>(B)</bold> maximum quantum yield [FV/FM; data derived from <xref ref-type="bibr" rid="B86">Straub et&#xa0;al. (2021)</xref>]; compared for samples exposed to the non-variable heatwave &#x2018;HWnon&#x2019; treatment over time (means &#xb1; SE). Horizontal dotted lines mark the start and end of HWnon, letters indicate significant differences of the Tukey&#x2019;s <italic>post-hoc</italic> test.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1197468-g003.tif"/>
</fig>
<p>
<italic>Ecklonia</italic> and <italic>Sargassum</italic> each showed minimal differences in fatty acids among treatments or among treatments over time (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). However, there was a significant interaction between species and treatment for the saturated fatty acids C15:0 (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). The <italic>post-hoc</italic> pairwise comparisons showed that the interaction between species and treatment for C15:0 was largely associated with a statistically significant (<italic>p</italic> &lt; 0.05) increase under the warming treatment compared to the HWnon and HWvar treatments for <italic>Ecklonia</italic> which was not observed for <italic>Sargassum</italic>. Although statistically significant, the changes in C15:0 were less than 1% of the total fatty acid composition. A significant interaction between species, treatment and exposure time was detected for total saturated fatty acid (SFA) and the polyunsaturated fatty acids C20:3 and C20:4 (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). However, these three-way interactions were not supported by the detection of any two-way interactions or main effects and no meaningful pairwise differences were detected by the <italic>post-hoc</italic> tests.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Summary table of 3-factor ANOVA of relative percentage composition of selected fatty acids from <italic>Ecklonia</italic> and <italic>Sargassum</italic> tissue exposed to four different temperature profiles (ambient, HWnon, HWvar, and warming), sampled before (20 days), during (33 days) and after (48 days) a simulated marine heatwave.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="bottom" rowspan="3" align="center">Fatty acids</th>
<th valign="top" colspan="14" align="center">ANOVA</th>
</tr>
<tr>
<th valign="bottom" colspan="2" align="center">Species</th>
<th valign="bottom" colspan="2" align="center">Treatment</th>
<th valign="bottom" colspan="2" align="center">Time</th>
<th valign="bottom" colspan="2" align="center">Treatment:<break/>Species</th>
<th valign="bottom" colspan="2" align="center">Treatment:<break/>Time</th>
<th valign="bottom" colspan="2" align="center">Species:<break/>Time</th>
<th valign="bottom" colspan="2" align="center">Species:<break/>Treatment : Time</th>
</tr>
<tr>
<th valign="middle" align="center">
<italic>F</italic>
<sub>(df)</sub>
</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">
<italic>F</italic>
<sub>(df)</sub>
</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">
<italic>F</italic>
<sub>(df)</sub>
</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">
<italic>F</italic>
<sub>(df)</sub>
</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">
<italic>F</italic>
<sub>(df)</sub>
</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">
<italic>F</italic>
<sub>(df)</sub>
</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">
<italic>F</italic>
<sub>(df)</sub>
</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="right">C12:0<sup>a</sup>
</td>
<td valign="middle" align="left">9.5<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>0.004</bold>
</td>
<td valign="middle" align="left">1.3<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.273</td>
<td valign="middle" align="left">0.5<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.632</td>
<td valign="middle" align="left">0.8<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.524</td>
<td valign="middle" align="left">1.0<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.468</td>
<td valign="middle" align="left">0.5<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.621</td>
<td valign="middle" align="left">1.4<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.236</td>
</tr>
<tr>
<td valign="middle" align="right">C14:0<sup>a</sup>
</td>
<td valign="middle" align="left">96.3<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">1.7<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.207</td>
<td valign="middle" align="left">3.4<sub>(2)</sub>
</td>
<td valign="middle" align="left">
<bold>0.042</bold>
</td>
<td valign="middle" align="left">0.8<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.511</td>
<td valign="middle" align="left">1.1<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.369</td>
<td valign="middle" align="left">0.2<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.828</td>
<td valign="middle" align="left">0.7<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.667</td>
</tr>
<tr>
<td valign="middle" align="right">C15:0<sup>a</sup>
</td>
<td valign="middle" align="left">0.0<sub>(1)</sub>
</td>
<td valign="middle" align="left">0.944</td>
<td valign="middle" align="left">1.7<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.177</td>
<td valign="middle" align="left">1.7<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.192</td>
<td valign="middle" align="left">7.6<sub>(3)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">1.6<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.160</td>
<td valign="middle" align="left">3.7<sub>(2)</sub>
</td>
<td valign="middle" align="left">
<bold>0.033</bold>
</td>
<td valign="middle" align="left">1.2<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.310</td>
</tr>
<tr>
<td valign="middle" align="right">C16:0</td>
<td valign="middle" align="left">151.4<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">0.9<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.472</td>
<td valign="middle" align="left">3.1<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.054</td>
<td valign="middle" align="left">0.3<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.844</td>
<td valign="middle" align="left">2.2<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.061</td>
<td valign="middle" align="left">0.4<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.655</td>
<td valign="middle" align="left">2.0<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.083</td>
</tr>
<tr>
<td valign="middle" align="right">C18:0<sup>a</sup>
</td>
<td valign="middle" align="left">0.4<sub>(1)</sub>
</td>
<td valign="middle" align="left">0.549</td>
<td valign="middle" align="left">0.6<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.604</td>
<td valign="middle" align="left">0.9<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.436</td>
<td valign="middle" align="left">1.5<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.227</td>
<td valign="middle" align="left">1.2<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.344</td>
<td valign="middle" align="left">1.2<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.302</td>
<td valign="middle" align="left">0.3<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.948</td>
</tr>
<tr>
<td valign="middle" align="right">C20:0<sup>a</sup>
</td>
<td valign="middle" align="left">59.4<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">4.9<sub>(3)</sub>
</td>
<td valign="middle" align="left">
<bold>0.005</bold>
</td>
<td valign="middle" align="left">1.0<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.364</td>
<td valign="middle" align="left">2.4<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.076</td>
<td valign="middle" align="left">1.3<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.274</td>
<td valign="middle" align="left">0.3<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.715</td>
<td valign="middle" align="left">1.3<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.294</td>
</tr>
<tr>
<td valign="middle" align="right">SFA</td>
<td valign="middle" align="left">76.2<sub>(1,32)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">1.4<sub>(3,13)</sub>
</td>
<td valign="middle" align="left">0.283</td>
<td valign="middle" align="left">0.9<sub>(2,40)</sub>
</td>
<td valign="middle" align="left">0.426</td>
<td valign="middle" align="left">2.0<sub>(3,32)</sub>
</td>
<td valign="middle" align="left">0.140</td>
<td valign="middle" align="left">1.7<sub>(6,40)</sub>
</td>
<td valign="middle" align="left">0.156</td>
<td valign="middle" align="left">1.1<sub>(2,35)</sub>
</td>
<td valign="middle" align="left">0.333</td>
<td valign="middle" align="left">3.0<sub>(6,35)</sub>
</td>
<td valign="middle" align="left">
<bold>0.019</bold>
</td>
</tr>
<tr>
<td valign="middle" align="right">C16:1</td>
<td valign="middle" align="left">37.5<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">2.0<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.122</td>
<td valign="middle" align="left">5.5<sub>(2)</sub>
</td>
<td valign="middle" align="left">
<bold>0.007</bold>
</td>
<td valign="middle" align="left">2.1<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.112</td>
<td valign="middle" align="left">2.6<sub>(6)</sub>
</td>
<td valign="middle" align="left">
<bold>0.028</bold>
</td>
<td valign="middle" align="left">1.1<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.344</td>
<td valign="middle" align="left">0.5<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.835</td>
</tr>
<tr>
<td valign="middle" align="right">C18:1</td>
<td valign="middle" align="left">0.8<sub>(1)</sub>
</td>
<td valign="middle" align="left">0.372</td>
<td valign="middle" align="left">1.9<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.145</td>
<td valign="middle" align="left">1.2<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.327</td>
<td valign="middle" align="left">0.8<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.510</td>
<td valign="middle" align="left">0.9<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.480</td>
<td valign="middle" align="left">1.0<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.376</td>
<td valign="middle" align="left">1.3<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.288</td>
</tr>
<tr>
<td valign="middle" align="right">C20:1<sup>a</sup>
</td>
<td valign="middle" align="left">2.5<sub>(1)</sub>
</td>
<td valign="middle" align="left">0.123</td>
<td valign="middle" align="left">0.9<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.451</td>
<td valign="middle" align="left">1.6<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.216</td>
<td valign="middle" align="left">0.0<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.992</td>
<td valign="middle" align="left">1.9<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.103</td>
<td valign="middle" align="left">0.3<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.748</td>
<td valign="middle" align="left">1.9<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.101</td>
</tr>
<tr>
<td valign="middle" align="right">C22:1<sup>a</sup>
</td>
<td valign="middle" align="left">362.4<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">4.4<sub>(3)</sub>
</td>
<td valign="middle" align="left">
<bold>0.008</bold>
</td>
<td valign="middle" align="left">2.7<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.076</td>
<td valign="middle" align="left">0.7<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.587</td>
<td valign="middle" align="left">1.2<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.326</td>
<td valign="middle" align="left">1.6<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.222</td>
<td valign="middle" align="left">2.3<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.051</td>
</tr>
<tr>
<td valign="middle" align="right">MUFA</td>
<td valign="middle" align="left">14.9<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">1.5<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.218</td>
<td valign="middle" align="left">5.6<sub>(2)</sub>
</td>
<td valign="middle" align="left">
<bold>0.006</bold>
</td>
<td valign="middle" align="left">0.7<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.580</td>
<td valign="middle" align="left">0.3<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.927</td>
<td valign="middle" align="left">0.1<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.893</td>
<td valign="middle" align="left">0.9<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.512</td>
</tr>
<tr>
<td valign="middle" align="right">C18:2</td>
<td valign="middle" align="left">6.3<sub>(1,35)</sub>
</td>
<td valign="middle" align="left">
<bold>0.017</bold>
</td>
<td valign="middle" align="left">4.0<sub>(3,11)</sub>
</td>
<td valign="middle" align="left">
<bold>0.039</bold>
</td>
<td valign="middle" align="left">0.2<sub>(2,44)</sub>
</td>
<td valign="middle" align="left">0.825</td>
<td valign="middle" align="left">0.4<sub>(3,35)</sub>
</td>
<td valign="middle" align="left">0.727</td>
<td valign="middle" align="left">2.0<sub>(6,43)</sub>
</td>
<td valign="middle" align="left">0.085</td>
<td valign="middle" align="left">3.9<sub>(2,40)</sub>
</td>
<td valign="middle" align="left">
<bold>0.030</bold>
</td>
<td valign="middle" align="left">0.6<sub>(6,40)</sub>
</td>
<td valign="middle" align="left">0.743</td>
</tr>
<tr>
<td valign="middle" align="right">C18:3<sup>a</sup>
</td>
<td valign="middle" align="left">91.3<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">1.0<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.415</td>
<td valign="middle" align="left">10.7<sub>(2)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">0.6<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.614</td>
<td valign="middle" align="left">0.4<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.882</td>
<td valign="middle" align="left">5.3<sub>(2)</sub>
</td>
<td valign="middle" align="left">
<bold>0.009</bold>
</td>
<td valign="middle" align="left">1.5<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.204</td>
</tr>
<tr>
<td valign="middle" align="right">C20:2<sup>a</sup>
</td>
<td valign="middle" align="left">30.2<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">0.5<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.713</td>
<td valign="middle" align="left">0.7<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.499</td>
<td valign="middle" align="left">1.2<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.321</td>
<td valign="middle" align="left">0.7<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.665</td>
<td valign="middle" align="left">0.4<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.675</td>
<td valign="middle" align="left">1.7<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.140</td>
</tr>
<tr>
<td valign="middle" align="right">C20:3<sup>a</sup>
</td>
<td valign="middle" align="left">126.0<sub>(1,31)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">8.7<sub>(3,9)</sub>
</td>
<td valign="middle" align="left">0.802</td>
<td valign="middle" align="left">3.0<sub>(2,42)</sub>
</td>
<td valign="middle" align="left">0.063</td>
<td valign="middle" align="left">0.6<sub>(3,31)</sub>
</td>
<td valign="middle" align="left">0.626</td>
<td valign="middle" align="left">2.1<sub>(6,41)</sub>
</td>
<td valign="middle" align="left">0.077</td>
<td valign="middle" align="left">0.0<sub>(2,36)</sub>
</td>
<td valign="middle" align="left">0.983</td>
<td valign="middle" align="left">3.2<sub>(6,36)</sub>
</td>
<td valign="middle" align="left">
<bold>0.012</bold>
</td>
</tr>
<tr>
<td valign="middle" align="right">C20:4 (ARA)</td>
<td valign="middle" align="left">85.8<sub>(1,33)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">1.6<sub>(3,12)</sub>
</td>
<td valign="middle" align="left">0.242</td>
<td valign="middle" align="left">0.8<sub>(2,41)</sub>
</td>
<td valign="middle" align="left">0.455</td>
<td valign="middle" align="left">0.4<sub>(3,33)</sub>
</td>
<td valign="middle" align="left">0.743</td>
<td valign="middle" align="left">0.6<sub>(6,41)</sub>
</td>
<td valign="middle" align="left">0.711</td>
<td valign="middle" align="left">0.1<sub>(2,37)</sub>
</td>
<td valign="middle" align="left">0.893</td>
<td valign="middle" align="left">2.6<sub>(6,37)</sub>
</td>
<td valign="middle" align="left">
<bold>0.031</bold>
</td>
</tr>
<tr>
<td valign="middle" align="right">C20:5 (EPA)</td>
<td valign="middle" align="left">25.4<sub>(3,12)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">0.7<sub>(3,12)</sub>
</td>
<td valign="middle" align="left">0.554</td>
<td valign="middle" align="left">7.4<sub>(2,43)</sub>
</td>
<td valign="middle" align="left">
<bold>0.002</bold>
</td>
<td valign="middle" align="left">0.8<sub>(3,34)</sub>
</td>
<td valign="middle" align="left">0.520</td>
<td valign="middle" align="left">1.0<sub>(6,42)</sub>
</td>
<td valign="middle" align="left">0.459</td>
<td valign="middle" align="left">7.3<sub>(2,38)</sub>
</td>
<td valign="middle" align="left">
<bold>0.002</bold>
</td>
<td valign="middle" align="left">1.7<sub>(6,38)</sub>
</td>
<td valign="middle" align="left">0.160</td>
</tr>
<tr>
<td valign="middle" align="right">C22:4<sup>a</sup>
</td>
<td valign="middle" align="left">87.1<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">0.8<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.508</td>
<td valign="middle" align="left">1.3<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.281</td>
<td valign="middle" align="left">0.6<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.594</td>
<td valign="middle" align="left">1.2<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.313</td>
<td valign="middle" align="left">3.7<sub>(2)</sub>
</td>
<td valign="middle" align="left">
<bold>0.033</bold>
</td>
<td valign="middle" align="left">1.1<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.358</td>
</tr>
<tr>
<td valign="middle" align="right">C22:5</td>
<td valign="middle" align="left">15.1<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">0.3<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.857</td>
<td valign="middle" align="left">0.6<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.577</td>
<td valign="middle" align="left">0.4<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.752</td>
<td valign="middle" align="left">1.0<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.460</td>
<td valign="middle" align="left">2.0<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.155</td>
<td valign="middle" align="left">0.7<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.628</td>
</tr>
<tr>
<td valign="middle" align="right">C22:6 (DHA)</td>
<td valign="middle" align="left">34.1<sub>(1,33)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">1.5<sub>(3,9)</sub>
</td>
<td valign="middle" align="left">0.276</td>
<td valign="middle" align="left">0.9<sub>(2,43)</sub>
</td>
<td valign="middle" align="left">0.420</td>
<td valign="middle" align="left">0.8<sub>(3,33)</sub>
</td>
<td valign="middle" align="left">0.531</td>
<td valign="middle" align="left">1.8<sub>(6,42)</sub>
</td>
<td valign="middle" align="left">0.132</td>
<td valign="middle" align="left">0.1<sub>(2,39)</sub>
</td>
<td valign="middle" align="left">0.877</td>
<td valign="middle" align="left">1.3<sub>(6,38)</sub>
</td>
<td valign="middle" align="left">0.302</td>
</tr>
<tr>
<td valign="middle" align="right">PUFA</td>
<td valign="middle" align="left">66.5<sub>(1,34)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">0.0<sub>(3,13)</sub>
</td>
<td valign="middle" align="left">0.997</td>
<td valign="middle" align="left">1.4<sub>(2,43)</sub>
</td>
<td valign="middle" align="left">0.257</td>
<td valign="middle" align="left">0.4<sub>(3,35)</sub>
</td>
<td valign="middle" align="left">0.793</td>
<td valign="middle" align="left">0.9<sub>(6,42)</sub>
</td>
<td valign="middle" align="left">0.530</td>
<td valign="middle" align="left">0.7<sub>(2,39)</sub>
</td>
<td valign="middle" align="left">0.515</td>
<td valign="middle" align="left">1.9<sub>(6,38)</sub>
</td>
<td valign="middle" align="left">0.104</td>
</tr>
<tr>
<td valign="middle" align="right">&#x3c9;-3 index<sup>&#x2020;</sup>
</td>
<td valign="middle" align="left">18.2<sub>(1,34)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">0.5<sub>(3,12)</sub>
</td>
<td valign="middle" align="left">0.663</td>
<td valign="middle" align="left">5.3<sub>(2,42)</sub>
</td>
<td valign="middle" align="left">
<bold>0.008</bold>
</td>
<td valign="middle" align="left">0.8<sub>(3,34)</sub>
</td>
<td valign="middle" align="left">0.530</td>
<td valign="middle" align="left">1.2<sub>(6,42)</sub>
</td>
<td valign="middle" align="left">0.324</td>
<td valign="middle" align="left">6.0<sub>(2,38)</sub>
</td>
<td valign="middle" align="left">
<bold>0.005</bold>
</td>
<td valign="middle" align="left">1.8<sub>(6,38)</sub>
</td>
<td valign="middle" align="left">0.123</td>
</tr>
<tr>
<td valign="middle" align="right">&#x3c9;-6/&#x3c9; -3<sup>&#xa4;a</sup>
</td>
<td valign="middle" align="left">7.5<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>0.009</bold>
</td>
<td valign="middle" align="left">0.2<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.909</td>
<td valign="middle" align="left">5.3<sub>(2)</sub>
</td>
<td valign="middle" align="left">
<bold>0.009</bold>
</td>
<td valign="middle" align="left">0.3<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.829</td>
<td valign="middle" align="left">0.4<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.892</td>
<td valign="middle" align="left">3.8<sub>(2)</sub>
</td>
<td valign="middle" align="left">
<bold>0.030</bold>
</td>
<td valign="middle" align="left">0.4<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.874</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Significant values in bold. <sup>a</sup>Log-transformed. Degrees of freedom (df) differ depending on whether a linear model or mixed linear model was used to analyse the data.</p>
</fn>
<fn>
<p>Ambient and warming treatments were kept at a steady temperature throughout. <sup>&#x2020;</sup>The &#x3c9;-3 index is calculated as the amount of EPA and DHA expressed as the percent of total fatty acids. <sup>&#xa4;</sup>The &#x3c9;-6/3 ratio is calculated at C20:4/(C20:5 + C22:6).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>When grouped into broad metabolite classifications, alkaloids showed a significant interaction between species and treatments. The <italic>post-hoc</italic> pairwise comparisons showed that the interaction between species and treatment was largely associated with a statistically significant (<italic>p</italic> &lt; 0.05) decrease in alkaloids under the HWvar (<italic>p &lt;</italic> 0.05) compared to the ambient tanks for <italic>Ecklonia</italic> which was not observed for <italic>Sargassum</italic>. No other significant interactions in broad metabolite groups, including amino acids and sugars, were found within the seaweed species in response to treatments or with treatments and exposure time (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Summary table of 3-factor ANOVA of relative percentage composition (&#xb1; SE) of selected metabolites from <italic>Ecklonia</italic> and <italic>Sargassum</italic> tissue exposed to four different temperature profiles (ambient, HWnon, HWvar, and warming), sampled before (20 days), during (33 days) and after (48 days) a simulated marine heatwave.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="bottom" rowspan="3" align="center">Metabolite group</th>
<th valign="bottom" colspan="14" align="center">ANOVA</th>
</tr>
<tr>
<th valign="bottom" colspan="2" align="center">Species</th>
<th valign="bottom" colspan="2" align="center">Treatment</th>
<th valign="bottom" colspan="2" align="center">Time</th>
<th valign="bottom" colspan="2" align="center">Species:<break/>Treatment</th>
<th valign="bottom" colspan="2" align="center">Treatment:<break/>Time</th>
<th valign="bottom" colspan="2" align="center">Species:<break/>Time</th>
<th valign="bottom" colspan="2" align="center">Species:<break/>Treatment : Time</th>
</tr>
<tr>
<th valign="middle" align="center">
<italic>F</italic>
<sub>(df)</sub>
</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">
<italic>F</italic>
<sub>(df)</sub>
</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">
<italic>F</italic>
<sub>(df)</sub>
</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">
<italic>F</italic>
<sub>(df)</sub>
</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">
<italic>F</italic>
<sub>(df)</sub>
</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">
<italic>F</italic>
<sub>(df)</sub>
</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">
<italic>F</italic>
<sub>(df)</sub>
</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="right">Alcohol<sup>a</sup>
</td>
<td valign="middle" align="left">59.1<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">8.8<sub>(3)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">25.8<sub>(2)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">0.9<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.460</td>
<td valign="middle" align="left">1.3<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.279</td>
<td valign="middle" align="left">2.2<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.126</td>
<td valign="middle" align="left">2.1<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.066</td>
</tr>
<tr>
<td valign="middle" align="right">Alkaloid<sup>a</sup>
</td>
<td valign="middle" align="left">84.8<sub>(1,32)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">3.4<sub>(3,10)</sub>
</td>
<td valign="middle" align="left">0.060</td>
<td valign="middle" align="left">6.9<sub>(2,42)</sub>
</td>
<td valign="middle" align="left">
<bold>0.003</bold>
</td>
<td valign="middle" align="left">3.1<sub>(3,32)</sub>
</td>
<td valign="middle" align="left">
<bold>0.042</bold>
</td>
<td valign="middle" align="left">0.7<sub>(6,42)</sub>
</td>
<td valign="middle" align="left">0.661</td>
<td valign="middle" align="left">5.9<sub>(2,40)</sub>
</td>
<td valign="middle" align="left">
<bold>0.006</bold>
</td>
<td valign="middle" align="left">0.6<sub>(6,39)</sub>
</td>
<td valign="middle" align="left">0.761</td>
</tr>
<tr>
<td valign="middle" align="right">Amino acids<sup>a</sup>
</td>
<td valign="middle" align="left">74.5<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">1.8<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.164</td>
<td valign="middle" align="left">9.5<sub>(2)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">0.8<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.519</td>
<td valign="middle" align="left">2.5<sub>(6)</sub>
</td>
<td valign="middle" align="left">
<bold>0.037</bold>
</td>
<td valign="middle" align="left">6.1<sub>(2)</sub>
</td>
<td valign="middle" align="left">
<bold>0.005</bold>
</td>
<td valign="middle" align="left">2.1<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.067</td>
</tr>
<tr>
<td valign="middle" align="right">Aromatic alcohol<sup>a</sup>
</td>
<td valign="middle" align="left">24.6<sub>(1,32)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">0.6<sub>(3,9)</sub>
</td>
<td valign="middle" align="left">0.602</td>
<td valign="middle" align="left">4.2<sub>(2,43)</sub>
</td>
<td valign="middle" align="left">
<bold>0.021</bold>
</td>
<td valign="middle" align="left">0.1<sub>(3,32)</sub>
</td>
<td valign="middle" align="left">0.963</td>
<td valign="middle" align="left">0.6<sub>(6,42)</sub>
</td>
<td valign="middle" align="left">0.727</td>
<td valign="middle" align="left">1.7<sub>(2,41)</sub>
</td>
<td valign="middle" align="left">0.192</td>
<td valign="middle" align="left">0.6<sub>(6,41)</sub>
</td>
<td valign="middle" align="left">0.733</td>
</tr>
<tr>
<td valign="middle" align="right">Aromatic alkaloid<sup>a</sup>
</td>
<td valign="middle" align="left">4.8<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>0.037</bold>
</td>
<td valign="middle" align="left">1.1<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.400</td>
<td valign="middle" align="left">9.1<sub>(2)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">0.8<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.501</td>
<td valign="middle" align="left">0.4<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.893</td>
<td valign="middle" align="left">7.8<sub>(2)</sub>
</td>
<td valign="middle" align="left">
<bold>0.001</bold>
</td>
<td valign="middle" align="left">0.8<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.592</td>
</tr>
<tr>
<td valign="middle" align="right">Aromatic compound<sup>a</sup>
</td>
<td valign="middle" align="left">24.6<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">0.6<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.602</td>
<td valign="middle" align="left">4.2<sub>(2)</sub>
</td>
<td valign="middle" align="left">
<bold>0.021</bold>
</td>
<td valign="middle" align="left">0.1<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.963</td>
<td valign="middle" align="left">0.6<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.727</td>
<td valign="middle" align="left">1.7<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.192</td>
<td valign="middle" align="left">0.6<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.733</td>
</tr>
<tr>
<td valign="middle" align="right">Complex sugar<sup>a</sup>
</td>
<td valign="middle" align="left">0.5<sub>(1)</sub>
</td>
<td valign="middle" align="left">0.470</td>
<td valign="middle" align="left">2.1<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.121</td>
<td valign="middle" align="left">2.2<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.118</td>
<td valign="middle" align="left">0.8<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.508</td>
<td valign="middle" align="left">0.8<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.612</td>
<td valign="middle" align="left">4.5<sub>(2)</sub>
</td>
<td valign="middle" align="left">
<bold>0.016</bold>
</td>
<td valign="middle" align="left">0.6<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.734</td>
</tr>
<tr>
<td valign="middle" align="right">Heterocycle<sup>a</sup>
</td>
<td valign="middle" align="left">58.9<sub>(1,30)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">1.5<sub>(3,9)</sub>
</td>
<td valign="middle" align="left">0.291</td>
<td valign="middle" align="left">1.7<sub>(2,41)</sub>
</td>
<td valign="middle" align="left">0.202</td>
<td valign="middle" align="left">2.0<sub>(3,30)</sub>
</td>
<td valign="middle" align="left">0.132</td>
<td valign="middle" align="left">0.9<sub>(6,41)</sub>
</td>
<td valign="middle" align="left">0.505</td>
<td valign="middle" align="left">1.1<sub>(2,39)</sub>
</td>
<td valign="middle" align="left">0.339</td>
<td valign="middle" align="left">0.9<sub>(6,38)</sub>
</td>
<td valign="middle" align="left">0.491</td>
</tr>
<tr>
<td valign="middle" align="right">Organic acid<sup>a</sup>
</td>
<td valign="middle" align="left">9.9<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>0.003</bold>
</td>
<td valign="middle" align="left">2.6<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.064</td>
<td valign="middle" align="left">3.0<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.064</td>
<td valign="middle" align="left">1.6<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.212</td>
<td valign="middle" align="left">3.3<sub>(6)</sub>
</td>
<td valign="middle" align="left">
<bold>0.008</bold>
</td>
<td valign="middle" align="left">2.0<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.144</td>
<td valign="middle" align="left">1.2<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.323</td>
</tr>
<tr>
<td valign="middle" align="right">Simple sugars</td>
<td valign="middle" align="left">16.9<sub>(1,32)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">1.3<sub>(3,11)</sub>
</td>
<td valign="middle" align="left">0.320</td>
<td valign="middle" align="left">1.0<sub>(2,41)</sub>
</td>
<td valign="middle" align="left">0.384</td>
<td valign="middle" align="left">1.3<sub>(3,32)</sub>
</td>
<td valign="middle" align="left">0.293</td>
<td valign="middle" align="left">1.2<sub>(6,41)</sub>
</td>
<td valign="middle" align="left">0.344</td>
<td valign="middle" align="left">2.0<sub>(2,39)</sub>
</td>
<td valign="middle" align="left">0.144</td>
<td valign="middle" align="left">1.0<sub>(6,39)</sub>
</td>
<td valign="middle" align="left">0.438</td>
</tr>
<tr>
<td valign="middle" align="right">Sterol<sup>a</sup>
</td>
<td valign="middle" align="left">62.9<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>0.000</bold>
</td>
<td valign="middle" align="left">2.3<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.087</td>
<td valign="middle" align="left">2.0<sub>(2)</sub>
</td>
<td valign="middle" align="left">0.154</td>
<td valign="middle" align="left">0.7<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.583</td>
<td valign="middle" align="left">0.6<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.750</td>
<td valign="middle" align="left">8.8<sub>(2)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">0.9<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.540</td>
</tr>
<tr>
<td valign="middle" align="right">Unidentified<sup>a</sup>
</td>
<td valign="middle" align="left">4.5<sub>(1)</sub>
</td>
<td valign="middle" align="left">
<bold>0.039</bold>
</td>
<td valign="middle" align="left">3.4<sub>(3)</sub>
</td>
<td valign="middle" align="left">
<bold>0.026</bold>
</td>
<td valign="middle" align="left">8.7<sub>(2)</sub>
</td>
<td valign="middle" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="middle" align="left">0.2<sub>(3)</sub>
</td>
<td valign="middle" align="left">0.920</td>
<td valign="middle" align="left">0.8<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.556</td>
<td valign="middle" align="left">3.8<sub>(2)</sub>
</td>
<td valign="middle" align="left">
<bold>0.030</bold>
</td>
<td valign="middle" align="left">0.7<sub>(6)</sub>
</td>
<td valign="middle" align="left">0.668</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Significant values in bold. <sup>a</sup>Log-transformed. Degrees of freedom (df) differ depending on whether a linear model or mixed linear model was used to analyse the data.</p>
</fn>
<fn>
<p>Ambient and warming treatments were kept at a steady temperature throughout.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Variation between species</title>
<p>The total extracted lipids of <italic>Ecklonia</italic> and <italic>Sargassum</italic> comprised on average 1.400 &#xb1; 0.113 and 1.100 &#xb1; 0.114% g<sup>-1</sup> of the seaweeds&#x2019; total wet weight respectively, with no significant differences detected between species, experimental treatments or sampling period (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The percent composition of lipid classes showed that 92.3% (12 of 13) were significantly different between <italic>Ecklonia</italic> and <italic>Sargassum</italic> (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>; <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The relative concentration of phosphatidylcholine (PC), phosphatidylethanolamine (PE), phosphatidylglycerol (PG), phosphatidylinositol (PI) and monomethylphosphatidyl ethanolamine (MMPE) were significantly higher in <italic>Ecklonia</italic> compared to <italic>Sargassum</italic> (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). While PA, phosphatidylserine (PS), CL, diacylglycerol pyrophosphate (DGPP), DMPE, phosphatidylinositol-4-phosphate (PIP) and cytidine diphosphate diacylglycerol (CDPDAG) were significantly higher in <italic>Sargassum</italic> in comparison to <italic>Ecklonia</italic> (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The percent of sulfatide galactosylceramide (SGalCer) was not significantly different between the two seaweed species (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Absolute difference (%, +SE of the difference) in <bold>(A)</bold> lipid class; and <bold>(B)</bold> fatty acid composition between <italic>Ecklonia</italic> (green) and <italic>Sargassum</italic> (orange), for the main factor of species. The bar color indicates the species with greater percent composition of each variable. Asterisks (*) indicate a significant difference between species.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1197468-g004.tif"/>
</fig>
<p>Univariate analysis of the fatty acids showed that 83% (20 of 24) were significantly different between <italic>Ecklonia</italic> and <italic>Sargassum</italic> (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). <italic>Sargassum</italic> was 7.4% higher in total saturated fatty acids than <italic>Ecklonia</italic> (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>; <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>), driven by significantly higher levels of C12:0, C16:0 and C20:0 when compared to <italic>Ecklonia</italic> (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Monounsaturated fatty acids were also 3.4% higher in <italic>Sargassum</italic> compared to <italic>Ecklonia</italic> (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>; <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>), with C16:1 and C22:1 significantly higher in <italic>Sargassum</italic> than <italic>Ecklonia</italic> (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Polyunsaturated fatty acids were found to be 10.8% higher in <italic>Ecklonia</italic> when compared to <italic>Sargassum</italic> (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>; <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Omega-3 (C18:3, C20:5), omega-6 (C20:4, C22:4) and C20:3 fatty acids were significantly higher in <italic>Ecklonia</italic> when compared to <italic>Sargassum</italic> (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Compared to <italic>Ecklonia, Sargassum</italic> was significantly higher in C18:2 (omega-6), C20:2, C22:5 and C22:6 (omega-3; <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Importantly, arachidonic acid (ARA, 20:4), a crucial long-chain polyunsaturated fatty acid in the omega-6 pathway, was 6.2% higher in <italic>Ecklonia</italic> than <italic>Sargassum</italic> (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). &#x3b1;&#x2013;Linolenic (ALA, 18:3), important to the omega-3 pathway (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>), was also 3.9% higher in <italic>Ecklonia</italic> (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Omega-3 docosahexaenoic acid and omega-6 docosapentaenoic acid showed statistically significant changes however, with only &#x2264; 0.05% difference between the two species (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Omega-3 eicosapentaenoic acid (EPA, 20:5) was, however, 1.6% higher in <italic>Ecklonia</italic> when compared to <italic>Sargassum</italic> (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). The &#x3c9;-3 index was 1.5% higher in <italic>Ecklonia</italic> which shows the seaweed species has a higher omega-3 content than <italic>Sargassum</italic> (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). <italic>Sargassum</italic> had a 10.8% higher &#x3c9;-6:&#x3c9;-3 ratio of 16.8 compared to 6.0 in <italic>Ecklonia</italic> (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
<p>Metabolites were grouped into broad classes to further assess functional differences between species (see <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>). We found 91.7% (11 of 12) of metabolite classes significantly differed in content between species (see <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>). <italic>Ecklonia</italic> and <italic>Sargassum</italic> metabolites consist largely of simple sugars (93.3 and 96.5%, respectively; <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>), of which <italic>Sargassum</italic> had significantly higher levels. The remaining metabolite composition of <italic>Sargassum</italic> comprised mostly of complex sugars (2.5%) and alcohols (0.5%; <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>). <italic>Ecklonia</italic> metabolite composition was more diverse containing complex sugar (2.4%), and significantly higher levels of heterocycles (1.3%), aromatic alcohols (1.2%), alcohols (0.9%) and alkaloids (0.5%) than <italic>Sargassum</italic> (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>; <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>Comparisons of metabolite concentration between <italic>Ecklonia</italic> (<italic>n</italic> = 36) and <italic>Sargassum</italic> (<italic>n</italic> = 34) grouped based on their chemical class; <bold>(A)</bold> simple sugars (mono-, di- and tri- saccharides) compared to other metabolites, and <bold>(B)</bold> the compounds included in &#x2018;other metabolites&#x2019;, for the main factor of species. All compounds are significantly different between species except for complex sugars. The different colours within the bars represent different compounds, as detailed in the keys within each panel.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1197468-g005.tif"/>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Redistribution of <italic>Ecklonia</italic> lipids under climate change</title>
<p>Projections of <italic>Ecklonia</italic> lipid availability off eastern Australia (28.0 &#x2013; 37.5&#xb0;S) revealed lipid reductions in warmer, lower latitudes where <italic>Ecklonia</italic> will range contract and increases within cooler, poleward and deeper regions of the study extent by 2100 where <italic>Ecklonia</italic> biomass will increase under all climate scenarios (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). Overall, total net lipid gains of 18.5% (4.9 g.m<sup>-2</sup>; <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>) and 29.4% (7.7 g.m<sup>-2</sup>; <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>) are projected under RCPs 2.6 and 6.0, respectively. In contrast, a 3.5% total net loss in <italic>Ecklonia</italic> derived lipids are projected under RCP 8.5 (-0.9 g.m<sup>-2</sup>; <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>). As the majority of current <italic>Ecklonia</italic> biomass and subsequent lipid availability occurs at shallow to intermediate reef depths (i.e. &lt;20 m), projected losses are associated with these depths and areas of the coast (primarily lower latitudes) where seabed temperatures are above ~26&#xb0;C (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). Projected increases in lipid availability at high latitudes occur across the entire depth range under RCP 2.6, but are mostly restricted to deeper reefs under RCP 8.5 (&gt;20 m; <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Projected changes to <italic>Ecklonia</italic> lipid availability (t) under climate change scenarios <bold>(A)</bold> RCP 2.6, <bold>(B)</bold> RCP 6.0 and <bold>(C)</bold> RCP 8.5 by 2100. Increases in lipid availability is represented by green and decreases by orange.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1197468-g006.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Climate-driven environmental change is having profound impacts on the structure and function of temperate marine ecosystems (<xref ref-type="bibr" rid="B104">Wernberg et&#xa0;al., 2016a</xref>; <xref ref-type="bibr" rid="B96">Verg&#xe9;s et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B40">Holland et&#xa0;al., 2020</xref>). Although ocean temperature is one of the most crucial factors influencing seaweed distribution and physiological performance (<xref ref-type="bibr" rid="B91">Van Den Hoek, 1982</xref>; <xref ref-type="bibr" rid="B92">Van den Hoek et&#xa0;al., 1990</xref>; <xref ref-type="bibr" rid="B44">Krumhansl et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B106">Wernberg et&#xa0;al., 2016b</xref>; <xref ref-type="bibr" rid="B94">Veenhof et&#xa0;al., 2022</xref>), the impacts of temperature on seaweed nutrient composition and the implications for ecosystems have received limited attention (<xref ref-type="bibr" rid="B84">Stengel et&#xa0;al., 2011</xref>). In this study, we used molecular techniques to investigate the effects of warming and MHWs on the nutritional quality of two foundational Australian seaweeds, <italic>Ecklonia</italic> and <italic>Sargassum</italic>, through the optimization of a small-scale microextraction technique. We found that simulated ocean warming and MHWs had minimal impact on the nutritional properties of <italic>Ecklonia</italic> and <italic>Sargassum</italic>. However, nutritional quality differed considerably between the two species, suggesting that the climate-driven redistribution of these species could have implications for the provision of nutrients to marine food webs.</p>
<sec id="s4_1">
<label>4.1</label>
<title>Ocean warming and marine heatwaves</title>
<p>Despite both ocean warming and MHWs having caused range contractions, local losses and genetic and physiological changes in <italic>Ecklonia</italic> and <italic>Sargassum</italic> in Australia (<xref ref-type="bibr" rid="B95">Verg&#xe9;s et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B104">Wernberg et&#xa0;al., 2016a</xref>; <xref ref-type="bibr" rid="B87">Straub et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B17">Coleman et&#xa0;al., 2020a</xref>; <xref ref-type="bibr" rid="B36">Gurgel et&#xa0;al., 2020</xref>), we observed minimal changes in the lipid and metabolite composition of these species in response to these ocean stressors. Our results were unexpected and contrary to other studies that observed changes in the fatty acid and metabolite composition of seaweeds in response to temperature changes in both field (<xref ref-type="bibr" rid="B79">Schmid et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B30">Gaubert et&#xa0;al., 2019</xref>) and laboratory settings (<xref ref-type="bibr" rid="B74">Renaud et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B34">Gosch et&#xa0;al., 2015</xref>). No biologically significant changes were detected in the fatty acids of <italic>Ecklonia</italic> or <italic>Sargassum</italic> in response to the warming and marine heatwave profiles. Increases in fatty acid saturation with increasing temperatures have been widely observed in marine algae (<xref ref-type="bibr" rid="B74">Renaud et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B2">Barbosa et&#xa0;al., 2020</xref>) and other marine plant species (<xref ref-type="bibr" rid="B5">Beca-Carretero et&#xa0;al., 2018</xref>). The unsaturation of fatty acids at low temperatures and saturation at high temperatures is an adaptative strategy algae use to maintain cell membrane fluidity and photosynthetic capacity with changing temperatures (<xref ref-type="bibr" rid="B54">Los and Murata, 2004</xref>; <xref ref-type="bibr" rid="B77">Schmid et&#xa0;al., 2021</xref>). Although this mechanism has commonly been observed in response to seasonal changes in temperature (<xref ref-type="bibr" rid="B78">Schmid et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B79">Schmid et&#xa0;al., 2017</xref>), this thermal adaptation may also assist seaweeds in coping with predicted ocean warming and MHWs (<xref ref-type="bibr" rid="B8">Britton et&#xa0;al., 2020</xref>). This response was not observed in our experiment for either <italic>Ecklonia</italic> or <italic>Sargassum</italic>, which could indicate that these species cannot adjust their fatty acid biosynthesis rapidly in response to unpredictable extreme temperature events. However, <xref ref-type="bibr" rid="B9">Britton et&#xa0;al. (2021)</xref> suggest that species that can also occupy intertidal or shallower areas such as <italic>Ecklonia</italic> and <italic>Sargassum</italic> may be better adapted to temperature fluctuations and potentially do not need to adjust fatty acid composition to maintain optimum membrane fluidity, or that the adjustments are small and hard to identify. Alternatively, our results could indicate a level of resilience, as the individuals sampled at each time point were survivors, which may have been better able to cope with warmer temperatures (e.g. thermally tolerant genotypes, <xref ref-type="bibr" rid="B99">Vranken et&#xa0;al., 2021</xref>; see <xref ref-type="bibr" rid="B86">Straub et&#xa0;al., 2021</xref> for mortality throughout the experiment).</p>
<p>The time frame over which seaweeds might display a temperature-driven change in fatty acid composition is poorly understood. Changes in seaweed lipids in response to elevated temperature have been observed after as little as three days in the giant kelp <italic>Macrocystis pyrifera</italic> (<xref ref-type="bibr" rid="B76">Schmid et&#xa0;al., 2020</xref>), and differences in seaweed fatty acids have been observed during and after a period of recovery from MHWs (<xref ref-type="bibr" rid="B8">Britton et&#xa0;al., 2020</xref>). However, we do not yet understand whether these temperature-driven changes in physiological performance and nutritional properties are species-specific, adaptations of distinct genetic populations or correlate to natural processes (e.g. growth and reproduction). Twelve days into the simulated non-variable heatwave we observed substantially lower levels of phosphatidic acid in <italic>Ecklonia</italic> when compared to the ambient temperature treatment. However, following a period of recovery from the heatwave, this difference was no longer detected, suggesting recovery. Levels of phosphatidic acid were initially also relatively low in the warming and variable heatwave treatments but increased over time. Phosphatidic acid is an important component of seaweed chloroplast membranes (<xref ref-type="bibr" rid="B61">Melo et&#xa0;al., 2015</xref>), which are important for photosynthesis (<xref ref-type="bibr" rid="B100">Wang and Benning, 2012</xref>). During the marine heatwave treatments, <italic>Ecklonia</italic> photosynthetic quantum yield was significantly lower than the warming and ambient treatments but these differences were no longer observed after the recovery period (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>; <xref ref-type="bibr" rid="B86">Straub et&#xa0;al., 2021</xref>). As only surviving plants were sampled at each time point, the performance improvement could be reflective of the responses of the better adapted survivors at 56 days compared to individuals sampled at 33 days. However, similar reductions in photosynthesis have been observed in other brown seaweeds (e.g. <italic>Phyllospora comosa</italic>) in response to MHWs, and following a period of recovery no lasting negative effects were detected (<xref ref-type="bibr" rid="B8">Britton et&#xa0;al., 2020</xref>). Therefore, the reduction in phosphatidic acid during the marine heatwave may be indicative of a stress response and connected to photosynthetic performance, however, further research is required to establish phosphatidic acid as a biomarker for photosynthetic stress responses in seaweeds.</p>
<p>Simulated ocean warming and marine heatwave treatments showed minimal effects on the metabolite content of both seaweed species. In particular, there was no evidence for impacts of temperature on complex and simple sugars which indicates there were no major effects on the potential beneficial properties (e.g. anti-inflammatory), energy content or calorific value of these species (<xref ref-type="bibr" rid="B4">Bayu et&#xa0;al., 2021</xref>). For example, fucoidan sugars like fructose have several biological activities including anti-inflammatory and anti-tumour properties which were unaffected by the temperature changes (<xref ref-type="bibr" rid="B22">Deniaud-Bou&#xeb;t et&#xa0;al., 2017</xref>). Amino acids function as important building blocks for protein (<xref ref-type="bibr" rid="B59">Maschek and Baker, 2008</xref>) and were unaffected by simulated ocean warming and marine heatwave scenarios. This suggests that temperature treatments did not trigger stress-induced protein degradation (<xref ref-type="bibr" rid="B45">Kumar et&#xa0;al., 2016</xref>), which would be expected to increase the levels of some amino acids in the tissues (<xref ref-type="bibr" rid="B1">Ara&#xfa;jo et&#xa0;al., 2011</xref>). Additional studies are required to determine if the stability in metabolite content is a sign of resilience in the species&#x2019; or attributed to the sampling of survivors at each time point. While the application of metabolomics to marine system biology is increasing globally, the main obstacle that remains is the accurate annotation and identification of metabolites (<xref ref-type="bibr" rid="B45">Kumar et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B47">Lawson et&#xa0;al., 2022</xref>). A change was detected in an unidentified metabolite in response to the simulated temperatures, however, without sufficient context on the function of these compounds, the potential impacts on <italic>Ecklonia</italic> metabolism and nutritional quality could not be interpreted. For the future application of metabolomics techniques to marine seaweeds, access to advanced technology and the establishment of large mass spectral libraries centred on model organisms are needed (<xref ref-type="bibr" rid="B45">Kumar et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B47">Lawson et&#xa0;al., 2022</xref>).</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Variation in nutritional quality between species</title>
<p>The nutritional composition between <italic>Ecklonia</italic> and <italic>Sargassum</italic> varied considerably. All 68 nutritional properties detected were present in both species, however, 82% differed substantially in content between species. The magnitude of difference between species was larger among lipid classes and fatty acids than metabolites. The lipid content of both <italic>Ecklonia</italic> and <italic>Sargassum</italic> was low (1.4 and 1.1%, respectively), with no difference detected between species and were similar to levels previously measured (<xref ref-type="bibr" rid="B98">Verma et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B82">Skrzypczyk et&#xa0;al., 2019</xref>). <italic>Ecklonia</italic> and <italic>Sargassum</italic> had lower total lipid levels than other Australian seaweed species such as <italic>Cystophora torulosa</italic> and <italic>C. polycystidea</italic> (8.4 and 5.7%, respectively), but were higher than the commercial species <italic>Sargassum fusiforme</italic> (0.7%, <xref ref-type="bibr" rid="B82">Skrzypczyk et&#xa0;al., 2019</xref>). Macroalgae are typically low in total fatty acids (in comparison to other algae e.g. microalgae) but have a high proportion of valuable polyunsaturated fatty acids (<xref ref-type="bibr" rid="B78">Schmid et&#xa0;al., 2014</xref>). This was supported by our results, as <italic>Ecklonia</italic> and <italic>Sargassum</italic> fatty acid composition was comprised of 39.3 and 28.6% polyunsaturated fatty acids, respectively. Although both species contained relatively high proportions of polyunsaturated fatty acids, higher levels were found in <italic>Ecklonia</italic>, while <italic>Sargassum</italic> contained substantially higher levels of saturated and monounsaturated fatty acids. Concentrations of polyunsaturated fatty acids tend to be higher in species from cold water and saturated fatty acids higher in species from warmer water, which could explain why temperate-tropical adapted species <italic>Sargassum</italic> displays higher levels of saturation (<xref ref-type="bibr" rid="B13">Choudhary et&#xa0;al., 2021</xref>).</p>
<p>The higher levels of polyunsaturated fatty acids in <italic>Ecklonia</italic> were driven by higher levels of omega-3 fatty acids (alpha-linolenic and docosapentaenoic) and arachidonic acid (an omega-6 fatty acid) when compared to <italic>Sargassum</italic>. Despite omega-3 fatty acids being primarily known for their benefits to human nutrition, these valuable fatty acids are also important to marine systems as an essential component of the cells of marine plants, animals and bacteria (<xref ref-type="bibr" rid="B90">Valentine and Valentine, 2004</xref>; <xref ref-type="bibr" rid="B33">Gladyshev et&#xa0;al., 2018</xref>). For example, numerous fish species have high eicosapentaenoic and docosahexaenoic acid content that is believed to support fast continuous swimming through its role in muscle cell metabolism (<xref ref-type="bibr" rid="B33">Gladyshev et&#xa0;al., 2018</xref>). <italic>Ecklonia</italic> displayed a higher omega-3 index than <italic>Sargassum</italic> and could be a better source of these fatty acids in temperate ecosystems in comparison. By contrast, <italic>Sargassum</italic> had a higher omega-6 to omega-3 ratio. Due to the opposing effects of omega-6 and omega-3 fatty acids (i.e. pro- and anti-inflammatory), a balanced consumption is recommended in human diets (<xref ref-type="bibr" rid="B81">Simopoulos, 2002</xref>). However, research into the importance of omega fatty acids for marine food chains is limited and the importance of this ratio for marine consumers is unclear. The species differences in nutritional composition are important in the context of nutritional seascapes because these two species are projected to change significantly and contrastingly under climate change.</p>
<p>Seaweed-herbivore interactions are complex (<xref ref-type="bibr" rid="B38">Hay and Fenical, 1988</xref>; <xref ref-type="bibr" rid="B70">Poore et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B109">Wernberg et&#xa0;al., 2013b</xref>). Consequently, structural shifts in seaweed availability may not equate to a suitable dietary replacement for consumers. Palatability is a key factor influencing herbivory and is influenced by macronutrient composition, for example, high protein and fat content often lead to higher palatability. Several other palatability factors including secondary metabolites, morphology and physical stress can also influence the herbivory of seaweeds (<xref ref-type="bibr" rid="B12">Cheng et&#xa0;al., 2022</xref>). Research has shown abalone species prefer a diet of brown algae over red or green algae which may be driven by high levels of polyunsaturated acids, in particular, eicosapentaenoic and arachidonic fatty acids (<xref ref-type="bibr" rid="B64">Nelson et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B35">Guest et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B41">Holland et&#xa0;al., 2021</xref>). Secondary metabolites are typically active in low concentrations and can impact the palatability for herbivores (<xref ref-type="bibr" rid="B37">Hay, 1996</xref>). These compounds were found in higher content in <italic>Ecklonia</italic>, including aromatic alcohols, heterocycles and alkaloids and could be used in defence against predators and pathogens (<xref ref-type="bibr" rid="B37">Hay, 1996</xref>; <xref ref-type="bibr" rid="B26">Engel et&#xa0;al., 2002</xref>). Some seaweeds also actively deter herbivory through chemical defences, for example, brown seaweeds contain phlorotannins which can discourage consumption by herbivores (<xref ref-type="bibr" rid="B89">Toth and Pavia, 2007</xref>). Simple sugars can affect the sweetness of seaweeds (<xref ref-type="bibr" rid="B67">Patrick et&#xa0;al., 2013</xref>), which may influence the consumption preferences of herbivores. These sugars were higher in <italic>Sargassum</italic> than <italic>Ecklonia</italic>, however, both species contained high quantities. These palatability factors may impact the uptake of nutrients from seaweeds despite their nutritional quality, providing a novel insight into potential nutrient transfer in marine food webs through metabolomics.</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Redistribution of nutrients under climate change</title>
<p>Seaweeds supply coastal ecosystems with nutrients directly through macroalgal detritus (<xref ref-type="bibr" rid="B23">Duggins et&#xa0;al., 1989</xref>) and herbivory (<xref ref-type="bibr" rid="B24">Dunton and Schell, 1987</xref>) that are transferred to higher trophic levels (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>; <xref ref-type="bibr" rid="B93">Vanderklift and Wernberg, 2010</xref>; <xref ref-type="bibr" rid="B43">Jin et&#xa0;al., 2020</xref>). Global changes in seaweed distribution and biomass have been driven by ocean warming (<xref ref-type="bibr" rid="B44">Krumhansl et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B58">Mart&#xed;nez et&#xa0;al., 2018</xref>), localized marine heatwave events (<xref ref-type="bibr" rid="B104">Wernberg et&#xa0;al., 2016a</xref>; <xref ref-type="bibr" rid="B87">Straub et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B27">F&#xe9;lix-Loaiza et&#xa0;al., 2022</xref>), and local anthropogenic stressors (<xref ref-type="bibr" rid="B73">Reed et&#xa0;al., 1994</xref>; <xref ref-type="bibr" rid="B16">Coleman et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B85">Strain et&#xa0;al., 2014</xref>), altering the nutritional seascapes of temperate environments. By 2100, the Australian distribution of <italic>Ecklonia</italic> is projected to contract by 49-71% under RCPs 2.6 and 6.0, respectively. Similarly, a 41-57% contraction in the distribution of <italic>Sargassum</italic> is projected under RCPs 2.6 and 6.0, respectively (<xref ref-type="bibr" rid="B58">Mart&#xed;nez et&#xa0;al., 2018</xref>). These estimates are based on correlative responses between each species and environmental variables (primarily SST) only and recent work incorporating key ecological interactions into future projections (e.g. urchin herbivory) of kelp biomass loss are more optimistic (<xref ref-type="bibr" rid="B11">Castro et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B20">Davis et&#xa0;al., 2021</xref>). For example, incorporating ecological interactions with urchins moderated projected net changes in <italic>Ecklonia</italic> biomass on the south-east coast of Australia to +18.5, +29.4% and -3.5% under RCPs 2.6, 6.0 and 8.5, respectively (<xref ref-type="bibr" rid="B20">Davis et&#xa0;al., 2021</xref>).</p>
<p>Projections of change in <italic>Ecklonia</italic> lipid availability across Australia&#x2019;s east coast were made by combining our quantified lipid content with predicted alterations in distribution and biomass (<xref ref-type="bibr" rid="B20">Davis et&#xa0;al., 2021</xref>). While we found total net gains in <italic>Ecklonia</italic> lipid availability across south-east Australia under RCPs 2.6 and 6.0 and a small magnitude of total loss under RCP 8.5, the changes in lipid availability are associated with considerable spatial variation due to the shifting distribution of <italic>Ecklonia</italic> biomass off eastern Australia. For example, in northern areas of the study extent where it is projected that <italic>Ecklonia</italic> will undergo a 55-276 km range contraction (<xref ref-type="bibr" rid="B20">Davis et&#xa0;al., 2021</xref>), a complete loss of <italic>Ecklonia</italic> derived lipid availability is likely while increases are expected in more poleward regions as biomass is projected to increase due to weakening urchin herbivory. Increasing water temperatures are also projected to drive <italic>Ecklonia</italic> redistributions from shallow reefs to cooler, deeper reefs in mid-latitude areas (<xref ref-type="bibr" rid="B20">Davis et&#xa0;al., 2021</xref>). These changes may have major implications for marine consumers as the availability of nutrients shifts across not only a latitudinal but also a vertical dimension, particularly if consumers do not experience similar shifts in distribution. However, local drivers such as eutrophication may buffer the negative physiological effects of ocean warming in some areas (<xref ref-type="bibr" rid="B28">Fern&#xe1;ndez et&#xa0;al., 2020</xref>). The results also suggest that the redistribution of <italic>Ecklonia</italic> and <italic>Sargassum</italic> will considerably alter the availability of nutrients to marine ecosystems in areas where patterns of species co-occurrence are affected and there is a transition from one species to the other. For example, the predicted shift from <italic>Ecklonia</italic> to <italic>Sargassum</italic> dominated reefs at lower latitudes (<xref ref-type="bibr" rid="B97">Verg&#xe9;s et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B96">Verg&#xe9;s et&#xa0;al., 2019</xref>) would signify increasing saturation in available fatty acids and loss of metabolite diversity, while the loss of canopy cover, in general, would lead to an overall loss of valuable essential fatty acids for secondary consumers (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Changes at the primary level could scale up through multiple trophic levels (e.g. primary, secondary, tertiary and finally humans) altering the trophic transfer of nutrients throughout entire marine systems (<xref ref-type="bibr" rid="B43">Jin et&#xa0;al., 2020</xref>). Combining lipidomic and metabolomic techniques with traditionally measured carbon, nitrogen and phosphate ratios will provide a greater depth to quantifying the nutritional changes in seaweeds (<xref ref-type="bibr" rid="B68">Peters et&#xa0;al., 2005</xref>). Moreover, to fully understand potential change in nutritional seascapes under climate change, we still require better understanding of food web dynamics as they relate to consumer and producer climate-redistributions and their interactions.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>Lipidomic and metabolomic approaches harbor considerable value for quantifying ecosystem production and could be a powerful way to understand how nutritional seascapes may be altered under projected climate change. However, several knowledge gaps remain that must be addressed before such approaches can be widely adopted. First, future application of metabolomics techniques to marine seaweeds will rely on access to advanced technology and the establishment of large mass spectral libraries that allow the characterization of compounds and products that are currently uncharacterised (<xref ref-type="bibr" rid="B45">Kumar et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B47">Lawson et&#xa0;al., 2022</xref>). In addition, further research is required to establish links between seaweed compounds and biological responses (e.g. phosphatidic acid and photosynthetic stress). Nevertheless, through the optimization of a small-scale microextraction technique, we were able to demonstrate little influence of marine heatwaves and warming on the nutritional quality of two dominant habitat-forming seaweeds, but major differences between the species. These results could have major implications for climate-mediated shifts in species distributions and replacements which will fundamentally alter the nutritional seascapes of marine ecosystems under climate change.</p>
</sec>
<sec id="s6" 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="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>This project was conceptualized by TCS, MAC, TW, CC and KB. The experiment was run by MAC. Lipidomic and metabolomic analysis was undertaken by TCS and KB. Statistical analysis was carried out by TCS, SM, TD and MAC. Writing the manuscript was led by TCS with assistance from all authors. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This work is part of the NSW Primary Industries Climate Change Research Strategy, funded by the NSW Climate Change Fund. This work was undertaken with funding from the Australian Research Council (DP190100058 awarded to MC and TW) and the Research Training Program Scholarship awarded to TS. The SCIEX equipment used for lipid analyses was funded by the Australian Research Council Linkage Infrastructure, Equipment and Facilities grant LE170100192.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We extend our thanks to Sandra Straub, Ziggy Marzinelli, Adriana Verges, Reina Veenhof, Peter Butcherine and Endurance Ewere for their assistance and Bryan Mead and Ashley Dowell from the Southern Cross Analytical Research Facility for technical support. The vectors used in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> are courtesy of the Integration and Application Network, the University of Maryland Center for Environmental Science (ian.umces.edu/symbols/) and PhyloPic (phylopic.org/). We thank the reviewers for their invaluable feedback, which improved 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="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.2023.1197468/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2023.1197468/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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