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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2017.00570</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Physiological and Biochemical Analyses Shed Light on the Response of <italic>Sargassum vulgare</italic> to Ocean Acidification at Different Time Scales</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Kumar</surname> <given-names>Amit</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/397730/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>AbdElgawad</surname> <given-names>Hamada</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/298023/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Castellano</surname> <given-names>Immacolata</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/429283/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Lorenti</surname> <given-names>Maurizio</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Delledonne</surname> <given-names>Massimo</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Beemster</surname> <given-names>Gerrit T. S.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/27583/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Asard</surname> <given-names>Han</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/227280/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Buia</surname> <given-names>Maria Cristina</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/397835/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Palumbo</surname> <given-names>Anna</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Center of Villa Dohrn&#x2013;Benthic Ecology, Department of Integrative Marine Ecology, Stazione Zoologica Anton Dohrn</institution> <country>Naples, Italy</country></aff>
<aff id="aff2"><sup>2</sup><institution>Integrated Molecular Plant Physiology Research Group, Department of Biology, University of Antwerp</institution> <country>Antwerp, Belgium</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Biology and Evolution of Marine Organisms, Stazione Zoologica Anton Dohrn</institution> <country>Naples, Italy</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Biotechnology, University of Verona</institution> <country>Verona, Italy</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: <italic>William Walter Adams III, University of Colorado Boulder, USA</italic></p></fn>
<fn fn-type="edited-by"><p>Reviewed by: <italic>Iris Eline Hendriks, University of the Balearic Islands, Spain; Min Zhu, Yangzhou University, China</italic></p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x002A;Correspondence: <italic>Anna Palumbo, <email>anna.palumbo@szn.it</email> Maria Cristina Buia, <email>mariacristina.buia@szn.it</email></italic></p></fn>
<fn fn-type="other" id="fn002"><p><sup>&#x2020;</sup>Present address: Amit Kumar, Centre for Climate Change Studies, Sathyabama University, Jeppiaar Nagar, Rajiv Gandhi Salai, Chennai, India Hamada AbdElgawad, Faculty of Science, Department of Botany, University of Beni-Suef, Beni-Suef, Egypt</p></fn>
<fn fn-type="other" id="fn003"><p>This article was submitted to Plant Abiotic Stress, a section of the journal Frontiers in Plant Science</p></fn></author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>04</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>8</volume>
<elocation-id>570</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>12</month>
<year>2016</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>03</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2017 Kumar, AbdElgawad, Castellano, Lorenti, Delledonne, Beemster, Asard, Buia and Palumbo.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Kumar, AbdElgawad, Castellano, Lorenti, Delledonne, Beemster, Asard, Buia and Palumbo</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>Studies regarding macroalgal responses to ocean acidification (OA) are mostly limited to short-term experiments in controlled conditions, which hamper the possibility to scale up the observations to long-term effects in the natural environment. To gain a broader perspective, we utilized volcanic CO<sub>2</sub> vents as a &#x201C;natural laboratory&#x201D; to study OA effects on <italic>Sargassum vulgare</italic> at different time scales. We measured photosynthetic rates, oxidative stress levels, antioxidant contents, antioxidant enzyme activities, and activities of oxidative metabolic enzymes in <italic>S. vulgare</italic> growing at a natural acidified site (pH 6.7) compared to samples from a site with current pH (pH 8.2), used as a control one. These variables were also tested in plants transplanted from the control to the acidified site and <italic>vice-versa</italic>. After short-term exposure, photosynthetic rates and energy metabolism were increased in <italic>S. vulgare</italic> together with oxidative damage. However, in natural populations under long-term conditions photosynthetic rates were similar, the activity of oxidative metabolic enzymes was maintained, and no sign of oxidative damages was observed. The differences in the response of the macroalga indicate that the natural population at the acidified site is adapted to live at the lowered pH. The results suggest that this macroalga can adopt biochemical and physiological strategies to grow in future acidified oceans.</p>
</abstract>
<kwd-group>
<kwd>macroalgae</kwd>
<kwd>ocean acidification</kwd>
<kwd><italic>Sargassum vulgare</italic></kwd>
<kwd>CO<sub>2</sub> vents</kwd>
<kwd>transplants</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="96"/>
<page-count count="14"/>
<word-count count="0"/>
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</article-meta>
</front>
<body>
<sec><title>Introduction</title>
<p>Marine macroalgae are a large and diverse group of photoautotrophs that contribute significantly to global primary production and to blue carbon sequestration (<xref ref-type="bibr" rid="B52">Krause-Jensen and Duarte, 2016</xref>). In addition, canopy-forming macroalgae play important roles in structuring and sustaining biodiversity and ecosystem functioning because they modify the physical environment, provide shelter, food, breeding grounds, and nurseries for a large number of associated species, such as invertebrates and fishes (<xref ref-type="bibr" rid="B3">Anderson, 1994</xref>; <xref ref-type="bibr" rid="B25">Edgar et al., 2004</xref>; <xref ref-type="bibr" rid="B4">Arkema et al., 2009</xref>; <xref ref-type="bibr" rid="B14">C&#x00E1;rdenas et al., 2016</xref>). Living in coastal marine environments, macroalgae often face harsh conditions, due to temperature and salinity variations, light exposure, UV radiation, desiccation and wave action. In the last decade, an additional stress arising from rapid global climate change, causing ocean acidification (OA), has been shown to affect algal physiology, life cycles, community structures and dynamics (<xref ref-type="bibr" rid="B38">Harley et al., 2012</xref>; <xref ref-type="bibr" rid="B12">Bradassi et al., 2013</xref>; <xref ref-type="bibr" rid="B53">Kroeker et al., 2013a</xref>; <xref ref-type="bibr" rid="B77">Porzio et al., 2013</xref>; <xref ref-type="bibr" rid="B47">Ji et al., 2016</xref>).</p>
<p>Ocean acidification is a shift in seawater pH due to the rising CO<sub>2</sub> concentrations in the atmosphere and in the oceans. Theoretically, elevated CO<sub>2</sub> stimulates photosynthesis, and therefore OA should benefit marine autotrophs (<xref ref-type="bibr" rid="B51">Koch et al., 2013</xref>). However, marine plants show variable responses, related to contrasting uptake mechanisms for dissolved inorganic carbon (DIC) they possess (<xref ref-type="bibr" rid="B65">Mackey et al., 2015</xref>). In seawater, three major forms of DIC exist: aqueous CO<sub>2</sub> at low percentage (1%), carbonate (CO<sub>3</sub><sup>2-</sup>), and the most abundant bicarbonate <inline-formula><mml:math id="M1"><mml:msubsup><mml:mi mathvariant='normal' mathcolor='black'>HCO</mml:mi><mml:mi mathvariant='normal' mathcolor='black'>3</mml:mi><mml:mn mathvariant='normal' mathcolor='black'>&#x2013;</mml:mn></mml:msubsup></mml:math></inline-formula> (92%) (<xref ref-type="bibr" rid="B7">Beer et al., 2014</xref>). All macroalgae can utilize aqueous CO<sub>2</sub> via diffusion; however, this mechanism is around 10,000 times slower in water than in air (<xref ref-type="bibr" rid="B47">Ji et al., 2016</xref>). Therefore, this rate limits the supply of CO<sub>2</sub> for photosynthesis (<xref ref-type="bibr" rid="B20">Cornwall et al., 2012</xref>). Hence, macroalgae have developed active and efficient carbon concentrating mechanisms (CCMs) that utilize <inline-formula><mml:math id="M2"><mml:msubsup><mml:mi mathvariant='normal' mathcolor='black'>HCO</mml:mi><mml:mi mathvariant='normal' mathcolor='black'>3</mml:mi><mml:mn mathvariant='normal' mathcolor='black'>&#x2013;</mml:mn></mml:msubsup></mml:math></inline-formula> at the expense of high energy investments (<xref ref-type="bibr" rid="B51">Koch et al., 2013</xref>) to allow photosynthesis under a wide range of environmental conditions (<xref ref-type="bibr" rid="B80">Raven et al., 2014</xref>). When the concentration of CO<sub>2</sub> increases, species with CCM may benefit from increased acidity by shifting their carbon source from <inline-formula><mml:math id="M3"><mml:msubsup><mml:mi mathvariant='normal' mathcolor='black'>HCO</mml:mi><mml:mi mathvariant='normal' mathcolor='black'>3</mml:mi><mml:mn mathvariant='normal' mathcolor='black'>&#x2013;</mml:mn></mml:msubsup></mml:math></inline-formula> to CO<sub>2</sub>, and reduce the energy costs (<xref ref-type="bibr" rid="B91">Wu et al., 2008</xref>). However, macroalgae with active CCMs show contrasting responses: no enhanced production, growth or change in RuBisCO activity (e.g., the green algae <italic>Ulva</italic> sp., <italic>Enteromorpha linza</italic>; the red algae <italic>Gracilaria conferta, Porphyra</italic> sp., <italic>Hypnea musciformis, Hypnea cornuta, Pterocladia capillaceae, Gelidium crinale</italic>, and <italic>Soliieria</italic> sp.; the brown algae <italic>Cystoseira</italic> sp., <italic>Padina pavona</italic>, and <italic>Sptaglossum</italic> sp.; <xref ref-type="bibr" rid="B46">Israel and Hophy, 2002</xref>), or increased growth and photosynthesis (the red macroalgae <italic>Gracilaria</italic> sp. and <italic>G. chilensis</italic>; <xref ref-type="bibr" rid="B30">Gao et al., 1993</xref>; <xref ref-type="bibr" rid="B91">Wu et al., 2008</xref>). Macroalgae lacking CCMs are more likely to be carbon-limited and thus to benefit from additional CO<sub>2</sub> (e.g., red macroalgae <italic>Lomentaria articulata</italic>; <xref ref-type="bibr" rid="B56">K&#x00FC;bler et al., 1999</xref>). Therefore, non-calcifying algae, lacking CCMs, are expected to respond positively to increasing global CO<sub>2</sub> concentrations (<xref ref-type="bibr" rid="B55">Kroeker et al., 2010</xref>, <xref ref-type="bibr" rid="B54">2013b</xref>; <xref ref-type="bibr" rid="B38">Harley et al., 2012</xref>). Consistently, among autotrophs, calcifying macroalgae were the most vulnerable group to the reduction of calcium carbonate saturation under future ocean conditions (<xref ref-type="bibr" rid="B67">Martin et al., 2008</xref>; <xref ref-type="bibr" rid="B66">Martin and Gattuso, 2009</xref>; <xref ref-type="bibr" rid="B75">Porzio et al., 2011</xref>; <xref ref-type="bibr" rid="B38">Harley et al., 2012</xref>; <xref ref-type="bibr" rid="B54">Kroeker et al., 2013b</xref>; <xref ref-type="bibr" rid="B41">Hofmann and Bischof, 2014</xref>).</p>
<p>A higher CO<sub>2</sub> concentration could also affect other physiological processes, including reproduction, ion homeostasis, energy metabolism, and nutrient uptake (<xref ref-type="bibr" rid="B82">Roleda et al., 2012</xref>; <xref ref-type="bibr" rid="B42">Hofmann et al., 2013</xref>; <xref ref-type="bibr" rid="B35">Gutow et al., 2014</xref>; <xref ref-type="bibr" rid="B26">Fern&#x00E1;ndez et al., 2015</xref>; <xref ref-type="bibr" rid="B92">Xu et al., 2015</xref>; <xref ref-type="bibr" rid="B71">Nunes et al., 2016</xref>; <xref ref-type="bibr" rid="B60">Leal et al., 2017</xref>). Moreover, these effects could be further affected by synergistic interactions with changes in other environmental factors (i.e., light and temperature; <xref ref-type="bibr" rid="B93">Xu et al., 2010</xref>; <xref ref-type="bibr" rid="B96">Zou et al., 2011</xref>; <xref ref-type="bibr" rid="B16">Celis-Pl&#x00E1; et al., 2015</xref>).</p>
<p>Environmental changes often affect the production of reactive oxygen (ROS) and nitrogen (RNS) species in macroalgae (<xref ref-type="bibr" rid="B23">Dring, 2005</xref>; <xref ref-type="bibr" rid="B58">Kumar et al., 2015</xref>). The accumulation of ROS due to the imbalance between the production of oxidants and antioxidants leads to oxidative stress (<xref ref-type="bibr" rid="B69">M&#x00F8;ller et al., 2007</xref>). Under these conditions, ROS likely oxidize proteins, lipids, and nucleic acids, thus causing cellular dysfunctions (<xref ref-type="bibr" rid="B15">Carvalho et al., 2004</xref>). ROS also act as signaling molecules altering gene expression and modulating the activity of specific defense proteins (<xref ref-type="bibr" rid="B88">Tripathy and Oelm&#x00FC;ller, 2012</xref>). Elevated CO<sub>2</sub> can induce oxidative stress in marine organisms by increasing ROS production either directly by increased formation of free radicals, due to the interaction of CO<sub>2</sub> with other ROS, and/or indirectly by enhancing Fenton reaction at lower pH (<xref ref-type="bibr" rid="B87">Tomanek et al., 2011</xref>; <xref ref-type="bibr" rid="B44">Hu et al., 2015</xref>). The possible induction of oxidative stress in autotrophs by OA has been poorly investigated and mostly limited to phytoplankton, where CO<sub>2</sub>/lowered pH has been shown to induce oxidative stress (<xref ref-type="bibr" rid="B13">Brutemark et al., 2015</xref>; <xref ref-type="bibr" rid="B94">Yang&#x00FC;ez et al., 2015</xref>). Elevated CO<sub>2</sub> has been also shown to alleviate high PAR and UV stress in the unicellular chlorophyte <italic>Dunaliella tertiolecta</italic> (<xref ref-type="bibr" rid="B31">Garcia-Gomez et al., 2014</xref>). However, it has been demonstrated that the capacity of macroalgae to survive stress conditions is correlated with their ability to detoxify the ROS by antioxidant defense systems (<xref ref-type="bibr" rid="B21">Davison and Pearson, 1996</xref>). These systems include non-enzymatic (e.g., tocopherol, ascorbate, polyphenols, carotenoids) and enzymatic components [e.g., superoxide dismutase (SOD), catalase (CAT), ascorbate peroxidase (APX), glutathione peroxidase (GPX), glutathione <italic>S</italic>-transferase (GST); <xref ref-type="bibr" rid="B11">Bischof and Rautenberger, 2012</xref>].</p>
<p>Most of our understanding of the effect of OA on macroalgae is obtained in confined short-term studies. In contrast to natural environments, such studies mainly involve a single species and conditions of constant and stable carbonate chemistry parameters. Based on these studies, it is difficult to predict how macroalgae will respond to OA in natural ecosystems. Moreover, the relevance of short-term studies to understand longer-time scale adaptive responses is questionable. Consequently, there is an increasing interest to assess adaptive response and potential of marine organisms to face climate change stressors over longer-time scales (<xref ref-type="bibr" rid="B61">Lohbeck et al., 2012</xref>; <xref ref-type="bibr" rid="B85">Sunday et al., 2014</xref>; <xref ref-type="bibr" rid="B45">Hutchins et al., 2015</xref>; <xref ref-type="bibr" rid="B84">Stillman and Paganini, 2015</xref>). The most direct approach to address adaptive responses consists of multi-generational evolution experiments performed on microorganisms with short generation times (<xref ref-type="bibr" rid="B19">Collins and Bell, 2004</xref>; <xref ref-type="bibr" rid="B61">Lohbeck et al., 2012</xref>; <xref ref-type="bibr" rid="B8">Benner et al., 2013</xref>). Macroalgae are not suitable for such approach due to their longer life cycles and their strong interactions with other ecosystem components, which are difficult to simulate under controlled conditions used in laboratory experiments, microcosm and mesocosms studies.</p>
<p>In this context, the shallow underwater volcanic vents with naturally acidified waters around the Castello Aragonese off the Ischia Island (Gulf of Naples; <xref ref-type="bibr" rid="B37">Hall-Spencer et al., 2008</xref>) offer a unique opportunity to investigate the effects of OA. Variation in the occurrence of these vents established three contrasting zones, characterized by pH values of 8.14 &#x00B1; 0.01, 7.83 &#x00B1; 0.06, and 6.72 &#x00B1; 0.06, respectively (<xref ref-type="bibr" rid="B75">Porzio et al., 2011</xref>). At the lowest pH site on rocky substrate, from 0.70 to 1.0 m below mean sea level, the algal cover is dominated by the fucoid alga <italic>Sargassum vulgare</italic>, whose settlement dates back at least three decades (<xref ref-type="bibr" rid="B76">Porzio et al., 2017</xref>). Fucoid algae release synchronously gametes in calm sea conditions, they mate in close vicinity and their propagules have a low dispersal rate (<xref ref-type="bibr" rid="B50">Kendrick and Walker, 1991</xref>; <xref ref-type="bibr" rid="B73">Pearson and Serr&#x00E3;o, 2006</xref>). Therefore, it can be assumed that the population settled at low pH at these volcanic vents is genetically relatively isolated. This provides an ideal set-up to study its long-term response to acidification in the natural habitat. Recently, through a <italic>de novo</italic> transcriptome analysis, we revealed that this <italic>S. vulgare</italic> population is adapted to live at lowered pH (<xref ref-type="bibr" rid="B57">Kumar et al., 2017</xref>).</p>
<p>In order to extend these measurements and to understand the physiological and biochemical mechanisms responsible for adaptive and stress responses of <italic>S. vulgare</italic> to OA, we analyzed photosynthesis, oxidative stress levels, antioxidant contents, antioxidant enzyme activities, and activities of oxidative metabolic enzymes in natural populations as well as in <italic>in situ</italic> reciprocal transplants from control to acidified site and <italic>vice-versa</italic>.</p>
</sec>
<sec id="s1" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec><title>Study Site and Sample Collection</title>
<p><italic>Sargassum vulgare</italic> plants were collected along the coast of the Ischia Island at two locations: Castello Aragonese (acidified site, 40&#x00B0;43.87N, 013&#x00B0;57.78E) and Lacco Ameno (control site, 40&#x00B0;45.35N, 013&#x00B0;53.13E) (<bold>Figure <xref ref-type="fig" rid="F1">1</xref></bold>). Castello Aragonese is the site where underwater CO<sub>2</sub> vents lower the local pH. These venting activities date back to nearly 2000 years (<xref ref-type="bibr" rid="B62">Lombardi et al., 2011</xref>), releasing gases mainly constituting CO<sub>2</sub> (90.1&#x2013;95.3%) in absence of harmful sulfur gas or effects on seawater temperature (<xref ref-type="bibr" rid="B37">Hall-Spencer et al., 2008</xref>). Variation in the occurrence of these vents established three contrasting zones characterized by pH values of 8.14 &#x00B1; 0.01, 7.83 &#x00B1; 0.06, and 6.72 &#x00B1; 0.06, respectively (<xref ref-type="bibr" rid="B75">Porzio et al., 2011</xref>). The venting activities are variable at the hour scale, but on average the pH values in the most acidified zone are constantly around 6.7. Only in this area <italic>S. vulgare</italic> is settled and characterizes the algal community with one of the highest cover. Lacco Ameno is the control site, located about 6 km far northwest from Castello Aragonese with an average pH value of around 8.2 close to normal seawater, but with similar hydrodynamic and physical conditions as the acidified site. At both sites, <italic>S. vulgare</italic> populations are growing at similar depth (&#x003C;1 m), wave exposition (sheltered bays), PAR transmission properties of the water, temperature and salinity (<xref ref-type="bibr" rid="B57">Kumar et al., 2017</xref>). pH (NBS scale) and temperature were measured in triplicate at the collection time, as reported in <xref ref-type="bibr" rid="B57">Kumar et al. (2017)</xref>.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p><bold>Study sites. (A)</bold> Map of Italy; <bold>(B)</bold> map of Ischia Island showing the location of Lacco Ameno and Castello Aragonese sites; <bold>(C)</bold> close up view of the control site Lacco Ameno; <bold>(D)</bold> close up view of the acidified site Castello Aragonese. In <bold>(C,D)</bold>, marked point showing locations of <italic>Sargassum vulgare</italic> (Image generated through qGIS v. 2.12.2).</p></caption>
<graphic xlink:href="fpls-08-00570-g001.tif"/>
</fig>
<p><italic>In situ</italic> reciprocal transplants were performed in July. Five individuals of <italic>S. vulgare</italic> originating from the control site (C) in Lacco Ameno were tied in a net and moved to the acidified site (A) in Castello Aragonese (C-A), and <italic>vice-versa</italic> (A-C). In order to evaluate the stress effect due to the transplant itself, other thalli were also transplanted in their respective natural site (C-C and A-A) and used as controls.</p>
<p>Photosynthetic parameters were measured <italic>in situ</italic> using a Diving-PAM (Pulse Amplitude Modulated) fluorometer (Walz, Effeltrich, Germany) on natural populations from both sites and on the reciprocal transplants (2 weeks after transplantation). To avoid differences due to variable environmental conditions, all analyses were performed on the same day between 11 am and 1 pm.</p>
<p>The samples for biochemical analyses on natural populations were collected in March and July on the same day at approximately the same time (between 11 am and 1 pm) in order to avoid effects of environmental fluctuations other than pH and CO<sub>2</sub>. In both locations, a total of nine thalli of similar size (8&#x2013;10 cm frond length) were handpicked in three different patches by snorkeling along a coastal stretch of 15 m to cover the natural variability of the two local populations. For the analyses on <italic>in situ</italic> reciprocal transplants, samples were collected in the same way at 2 weeks after transplantation.</p>
<p>The collected samples were maintained onboard in water of their respective sites and brought to the laboratory where the tissues were washed with filtered sea water, using a soft paint brush to remove visible epiphytes. The samples were either processed immediately or snap frozen in liquid nitrogen and stored at -80&#x00B0;C for further analysis.</p>
</sec>
<sec><title>pH Drift Experiment</title>
<p>A preliminary experiment was conducted in the lab in order to determine the ability of the two populations of <italic>S. vulgare</italic> (settled in the control and the acidified site) to use <inline-formula><mml:math id="M4"><mml:msubsup><mml:mi mathvariant='normal' mathcolor='black'>HCO</mml:mi><mml:mi mathvariant='normal' mathcolor='black'>3</mml:mi><mml:mn mathvariant='normal' mathcolor='black'>&#x2013;</mml:mn></mml:msubsup></mml:math></inline-formula> as a carbon source using the method developed by <xref ref-type="bibr" rid="B39">Hepburn et al. (2011)</xref>. If the algae are able to increase the pH above 9, it means they are able to utilize <inline-formula><mml:math id="M5"><mml:msubsup><mml:mi mathvariant='normal' mathcolor='black'>HCO</mml:mi><mml:mi mathvariant='normal' mathcolor='black'>3</mml:mi><mml:mn mathvariant='normal' mathcolor='black'>&#x2013;</mml:mn></mml:msubsup></mml:math></inline-formula>, because at higher pH the concentration of CO<sub>2</sub> is so low that it limits photosynthesis for obligate CO<sub>2</sub> using macroalgae (<xref ref-type="bibr" rid="B20">Cornwall et al., 2012</xref>). To test this, eight independent algal thalli (1 g fresh weight each; four from control site and four from acidified site) were cleaned and placed into a 50 ml sealed transparent container containing sterile seawater (passed through 0.22 &#x03BC;m filters, followed by UV treatment). The incubation was done in seawater at two different pH values (pH 8.1 representing normal seawater and pH 7.0, the value recorded in seawater taken directly from volcanic CO<sub>2</sub> vents at the time of harvest). Actinic light was supplied at a level of ca. 200 &#x03BC;mol photons m<sup>-2</sup>s<sup>-1</sup> at 25&#x00B0;C. After 24 h, the algae were removed from the containers and pH was recorded. The containers were left open for 24 h before the pH was measured again.</p>
</sec>
<sec><title>Photosynthetic Parameters and Pigment Analysis</title>
<p>The collection and processing of fluorescence data, obtained using a Diving-PAM fluorometer (Walz, Effeltrich, Germany), were performed fundamentally following the guidelines suggested by <xref ref-type="bibr" rid="B79">Ralph and Gademann (2005)</xref>. Rapid light curves (RLCs) of irradiance vs. electron transport rate (ETR, past PSII) were obtained by exposing algal thalli spots to a range of irradiances between &#x223C; 13 and 400 &#x03BC;mol photons m<sup>-2</sup> s<sup>-1</sup>, produced by the Diving-PAM lamp, and lasting 10 s after each 10 min dark adaptation period. Photosynthetic parameters, such as relative maximum electron transport rate (rETRmax), initial slope of the curve (&#x03B1;), and the saturating irradiance (Ek) were calculated by fitting empirical data to an exponential function of <xref ref-type="bibr" rid="B89">Webb et al. (1974)</xref>. We also estimated the maximum photosynthetic efficiency of PSII (<italic>F</italic><sub>v</sub>/<italic>F</italic><sub>m</sub>) of the two populations. Chlorophyll a and c content was determined in tissues extracted in 80% acetone according to <xref ref-type="bibr" rid="B68">Mitchell and Kiefer (1984)</xref>.</p>
</sec>
<sec><title>Determination of Oxidative Stress Markers and Antioxidant Enzyme Activities</title>
<p>Intracellular ROS in the algal tissues were quantified by measuring the oxidation of 2&#x2032;,7&#x2032;-dichlorohydrofluorescein diacetate (DCFH-DA, Sigma) according to <xref ref-type="bibr" rid="B18">Collen and Davison (1997)</xref>. Hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) content was measured in the frozen algal tissues by the FOX1 assay, based on the peroxide mediated oxidation of Fe<sup>2+</sup>, followed by reaction of Fe<sup>3+</sup> with xylenol orange. Absorbance of the Fe<sup>3+</sup>-xylenol orange complex was measured at 560 nm (<xref ref-type="bibr" rid="B48">Jiang et al., 1990</xref>). Lipid peroxidation was assessed by monitoring the production of malondialdehyde (MDA), according to <xref ref-type="bibr" rid="B40">Hodges et al. (1999)</xref>. Total antioxidant capacity was measured using ferric reducing/antioxidant power (FRAP) assay, according to <xref ref-type="bibr" rid="B9">Benzie and Strain (1998)</xref>. Ascorbate (ASC) and glutathione (GSH) were quantified by extraction of frozen algal tissue in ice cold 6% metaphosphoric acid and analysed on a reversed phase HPLC column (100 mm &#x00D7; 4.6 mm Polaris C18-A, 3 &#x03BC;m particle size) at 40&#x00B0;C with an isocratic flow rate of 1 ml min<sup>-1</sup> of elution buffer (2 mM KCl, pH 2.5 adjusted with <italic>o</italic>-phosphoric acid). Total ASC (ASCt) and GSH (GSHt) concentrations (reduced + oxidized) were determined after reduction with 0.04 M DTT for 10 min at room temperature according to <xref ref-type="bibr" rid="B78">Potters et al. (2004)</xref>. The redox states (ASC redox state and GSH redox state) were calculated as the reduced form to the total concentration ratio. Total polyphenols and flavonoids were extracted in 80% ethanol. Phenolic content was measured by Folin Ciocalteu assay according to <xref ref-type="bibr" rid="B95">Zhang et al. (2006)</xref>, with gallic acid as standard. Flavonoid content was measured by modified aluminum chloride colorimetric method according to <xref ref-type="bibr" rid="B17">Chang et al. (2002)</xref>, with quercetin as standard. Tocopherols were extracted by homogenizing algal tissue in hexane, and quantified by HPLC analysis according to <xref ref-type="bibr" rid="B83">Siebert (1999)</xref>. Data were analyzed with Shimadzu Class VP 6.14 software provided by the HPLC system (Shimadzu, Tokyo, Japan).</p>
<p>For antioxidant enzymatic assays, protein extracts were prepared according to <xref ref-type="bibr" rid="B70">Murshed et al. (2008)</xref> and quantified according to <xref ref-type="bibr" rid="B63">Lowry et al. (1951)</xref>. All enzyme activities were determined in 200 &#x03BC;L volume kinetic reactions at 25&#x00B0;C, using a micro-plate reader. APX, dehydroascorbate reductase (DHAR), monodehydroascorbate reductase (MDHAR), glutathione reductase (GR) activities were determined according to <xref ref-type="bibr" rid="B70">Murshed et al. (2008)</xref>. Peroxidase (POX) activity was determined according to <xref ref-type="bibr" rid="B59">Kumar and Khan (1982)</xref>. SOD activity was determined according to <xref ref-type="bibr" rid="B22">Dhindsa et al. (1981)</xref>. CAT activity was determined according to <xref ref-type="bibr" rid="B2">Aebi (1984)</xref>. GPX activity was determined according to <xref ref-type="bibr" rid="B24">Drotar et al. (1985)</xref>. GST activity was determined according to <xref ref-type="bibr" rid="B36">Habig et al. (1974)</xref>. Peroxiredoxin (PRX) activity was determined according to <xref ref-type="bibr" rid="B43">Horling et al. (2003)</xref>. Glutaredoxin (GRX) activity was determined according to <xref ref-type="bibr" rid="B64">Lundberg et al. (2001)</xref>. Thioredoxin (TRX) activity was determined according to <xref ref-type="bibr" rid="B90">Wolosiuk et al. (1979)</xref>. Ferredoxin-NADP(H) Reductase (FNR) activity was determined according to <xref ref-type="bibr" rid="B81">Rodriguez et al. (2007)</xref>. All the oxidative stress markers and antioxidant enzymatic activities were determined on three or five (ROS measurements) independent specimens.</p>
</sec>
<sec><title>Determination of Enzymatic Activities Related to Energy Metabolism</title>
<p>The activities of NADH dehydrogenase (NADH-DH) and cytochrome c oxidase (COX) were measured in the algal tissues (<italic>n</italic> = 3) by spectrophotometric methods. NADH-DH activity was measured according to <xref ref-type="bibr" rid="B29">Galante and Hatefi (1978)</xref> by using a modified reaction mixture (1 ml) containing 50 mM phosphate buffer (pH 7.4), 0.1% Triton X-100 (v/v), 1.6 mM potassium ferricyanide, 0.17 mM NADH, and 30 &#x03BC;g mitochondrial protein in phosphate buffer. This reaction mixture had slightly lowered pH value and contained lower and higher concentrations of NADH and potassium ferricyanide, respectively, as compared to the original protocol. Samples treated with <sc>L</sc>-3,4-dihydroxyphenylalanine (L-DOPA) to suppress NADH-DH activity were used as negative controls. The absorbance was measured at 410 nm and NADH-DH activity was calculated using an extinction coefficient of 1 mM<sup>-1</sup> cm<sup>-1</sup>. COX activity was determined according to <xref ref-type="bibr" rid="B33">Goyal and Srivastava (1995)</xref>.</p>
</sec>
<sec><title>Determination of Nitric Oxide and Protein Nitrosothiols</title>
<p>Nitric oxide levels in the algal tissues (<italic>n</italic> = 5) were measured with the Griess reagent according to <xref ref-type="bibr" rid="B34">Green et al. (1982)</xref>. <italic>S</italic>-nitrosothiol content was determined according to <xref ref-type="bibr" rid="B72">Park and Kostka (1997)</xref>.</p>
</sec>
<sec><title>Statistical Analysis</title>
<p>Student&#x2019;s <italic>t</italic>-tests were performed in order to assess differences between two study sites. Condition of homogeneity of variance was examined by Levien&#x2019;s test. Independent sample <italic>t</italic>-test was performed on the data to determine the significant difference between the mean values. The analysis of differences between the control and the acidified site was independently performed for both seasons. For transplant experiments, significance was analyzed in samples transplanted from the control to the acidified site and <italic>vice-versa</italic>, compared to the respective controls transplanted to the same site. All statistical analyses were performed using SPSS v21 (SPSS Inc, Chicago, IL, USA).</p>
</sec>
</sec>
<sec><title>Results</title>
<sec><title><inline-formula><mml:math id="M6"><mml:msubsup><mml:mi mathvariant='normal' mathcolor='black'>HCO</mml:mi><mml:mi mathvariant='normal' mathcolor='black'>3</mml:mi><mml:mn mathvariant='normal' mathcolor='black'>&#x2013;</mml:mn></mml:msubsup></mml:math></inline-formula> as a Carbon Source</title>
<p>Samples collected from the acidified site and incubated for 24 h in sea water at pH 8.08 and 7.0 in closed containers raised the pH to 9.14 &#x00B1; 0.01 SE and 9.05 &#x00B1; 0.05 SE, respectively. Samples from the control site, treated following the same protocol, showed an increase of the pH values to 9.16 &#x00B1; 0.03 SE and 9.1 &#x00B1; 0.04 SE, respectively. The ability to raise pH above 9.0 demonstrates the capacity of <italic>S. vulgare</italic> to use <inline-formula><mml:math id="M7"><mml:msubsup><mml:mi mathvariant='normal' mathcolor='black'>HCO</mml:mi><mml:mi mathvariant='normal' mathcolor='black'>3</mml:mi><mml:mn mathvariant='normal' mathcolor='black'>&#x2013;</mml:mn></mml:msubsup></mml:math></inline-formula> as carbon source in both conditions. After 24 h of removing algae, we observed that the pH dropped to the values of ca. 8.1 in all containers, indicating that chemical conditions of the seawater had been re-equilibrated with air. These measurements also assured that pH change was not affected by algal exudates.</p>
</sec>
<sec><title>Photosynthetic Performance and Pigments</title>
<p>We did not observe any significant differences in the photosynthetic performance between algae naturally growing at the acidified and the control site, respectively. However, in the transplants there was a significant increase in rETRmax and Ek and a decrease in &#x03B1; in plants transplanted from the control to the acidified site in comparison to those transplanted in the same site. We also noticed a decrease in <italic>F</italic><sub>v</sub>/<italic>F</italic><sub>m</sub> in samples transplanted from the acidified to the control site (<bold>Table <xref ref-type="table" rid="T1">1</xref></bold>). The concentration of chlorophyll <italic>c</italic> was higher in algae from the acidified site and in samples transplanted from the acidified to the control site (<bold>Table <xref ref-type="table" rid="T1">1</xref></bold>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Photosynthetic parameters and pigment contents in <italic>S. vulgare</italic> collected at the acidified <bold>(A)</bold> and the control <bold>(C)</bold> site (natural populations) and after reciprocal transplants: C to C, control to control; C to A, control to acidified; A to A, acidified to acidified; A to C, acidified to control.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<th valign="top" align="center" colspan="2">Natural populations<hr/></th>
<th valign="top" align="center" colspan="4">Transplants<hr/></th>
</tr>
<tr>
<td valign="top" align="left"></td>
<th valign="top" align="center">C</th>
<th valign="top" align="center">A</th>
<th valign="top" align="center">C to C</th>
<th valign="top" align="center">C to A</th>
<th valign="top" align="center">A to A</th>
<th valign="top" align="center">A to C</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">rETRmax (&#x03BC;mol electrons m<sup>-2</sup> s<sup>-1</sup>)</td>
<td valign="top" align="center">29.65 @ 0.45</td>
<td valign="top" align="center">34.61 @ 3.56</td>
<td valign="top" align="center">27.96 @ 3.39</td>
<td valign="top" align="center">39.16 @ 3.31&#x02C6;&#x002A;</td>
<td valign="top" align="center">34.27 @ 3.17</td>
<td valign="top" align="center">32.76 @ 1.42</td>
</tr>
<tr>
<td valign="top" align="left">&#x03B1; (&#x03BC;mol electrons m<sup>-2</sup> s<sup>-1</sup>/&#x03BC;mol photons m<sup>-2</sup> sec<sup>-1</sup>)</td>
<td valign="top" align="center">0.33 @ 0.02</td>
<td valign="top" align="center">0.33 @ 0.02</td>
<td valign="top" align="center">0.34 @ 0.02</td>
<td valign="top" align="center">0.26 @ 0.01&#x02C6;&#x002A;</td>
<td valign="top" align="center">0.26 @ 0.00</td>
<td valign="top" align="center">0.25 @ 0.01</td>
</tr>
<tr>
<td valign="top" align="left">Ek (&#x03BC;mol photons m<sup>-2</sup> s<sup>-1</sup>)</td>
<td valign="top" align="center">91.81 @ 7.94</td>
<td valign="top" align="center">96.04 @ 5.23</td>
<td valign="top" align="center">84.96 @ 14.96</td>
<td valign="top" align="center">146.89 @ 8.47&#x02C6;&#x002A;</td>
<td valign="top" align="center">133.02 @ 13.56</td>
<td valign="top" align="center">138.85 @ 14.20</td>
</tr>
<tr>
<td valign="top" align="left"><italic>F</italic><sub>v</sub>/<italic>F</italic><sub>m</sub></td>
<td valign="top" align="center">0.72 @ 0.014</td>
<td valign="top" align="center">0.74 @ 0.002</td>
<td valign="top" align="center">0.71 @ 0.013</td>
<td valign="top" align="center">0.71 @ 0.002</td>
<td valign="top" align="center">0.71 @ 0.006</td>
<td valign="top" align="center">0.60 @ 0.040&#x02C6;&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">Chlorophyll a (mg/g FW)</td>
<td valign="top" align="center">32.38 @ 2.62</td>
<td valign="top" align="center">36.29 @ 1.25</td>
<td valign="top" align="center">24.72 @ 2.00</td>
<td valign="top" align="center">23.32 @ 1.89</td>
<td valign="top" align="center">27.71 @ 0.95</td>
<td valign="top" align="center">29.65 @ 1.02</td>
</tr>
<tr>
<td valign="top" align="left">Chlorophyll c (c<sub>1</sub>+c<sub>2</sub>) (mg/g FW)</td>
<td valign="top" align="center">13.23 @ 0.42</td>
<td valign="top" align="center">19.04 @ 0.22&#x02C6;&#x002A;&#x002A;&#x002A;</td>
<td valign="top" align="center">10.10 @ 0.32</td>
<td valign="top" align="center">9.53 @ 0.30</td>
<td valign="top" align="center">14.54 @ 0.17</td>
<td valign="top" align="center">15.56 @ 0.18&#x02C6;&#x002A;</td></tr>
</tbody></table>
<table-wrap-foot>
<attrib><italic>Values are mean &#x00B1; SE, <italic>n</italic> = 5, <sup>&#x2217;</sup> <italic>p</italic> &#x003C; 0.05, <sup>&#x2217;&#x2217;&#x2217;</sup> <italic>p</italic> &#x003C; 0.001.</italic></attrib>
</table-wrap-foot>
</table-wrap>
</sec>
<sec><title>Redox State</title>
<p>In order to understand if OA induces oxidative and nitrosative stress in <italic>S. vulgare</italic>, we examined the cellular redox state by measuring ROS, H<sub>2</sub>O<sub>2</sub>, lipid peroxidation, total antioxidant capacity, nitric oxide, and protein nitrosothiol levels. Total ROS was lower in the algae grown at the acidified site compared to those from the control site (<bold>Figure <xref ref-type="fig" rid="F2">2A</xref></bold>), but no differences in H<sub>2</sub>O<sub>2</sub>, MDA, and total antioxidant capacity were observed between the two sites (<bold>Figures <xref ref-type="fig" rid="F2">2C,E,G</xref></bold>). In samples transplanted from control to acidified site, there was a significant increase in total ROS, H<sub>2</sub>O<sub>2</sub>, MDA, and total antioxidant capacity (<bold>Figures <xref ref-type="fig" rid="F2">2B,D,F,H</xref></bold>). Inversely, H<sub>2</sub>O<sub>2</sub> and total antioxidant capacity decreased in algae transplanted from acidified to control site (<bold>Figures <xref ref-type="fig" rid="F2">2D,H</xref></bold>). No significant variation was observed in nitric oxide levels (<bold>Figures <xref ref-type="fig" rid="F2">2I,J</xref></bold>), whereas lower levels of <italic>S</italic>-nitrosylated proteins were detected in algae living at the acidified site compared to those of the control site (<bold>Figure <xref ref-type="fig" rid="F2">2K</xref></bold>). No changes in nitrosylation were found in transplants (<bold>Figure <xref ref-type="fig" rid="F2">2L</xref></bold>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p><bold>Reactive oxygen species (ROS), hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>), lipid peroxidation [malondialdehyde (MDA)], total antioxidant capacity [ferric reducing/antioxidant power (FRAP) assay], nitric oxide (nitrite), and protein nitrosothiol (RSNO) levels in <italic>S. vulgare</italic> samples collected at the control and the acidified site in March and July (natural populations) (A,C,E,G,I,K)</bold> and in transplants <bold>(B,D,F,H,J,L)</bold>. C-C = control to control, C-A = control to acidified, A-A = acidified to acidified, A-C = acidified to control. Values are mean &#x00B1; SE, <italic>n</italic> = 3 (<italic>n</italic> = 5 for ROS, nitric oxide, and RSNO), <sup>&#x2217;</sup> <italic>p</italic> &#x003C; 0.05, <sup>&#x2217;&#x2217;</sup> <italic>p</italic> &#x003C; 0.01, <sup>&#x2217;&#x2217;&#x2217;</sup> <italic>p</italic> &#x003C; 0.001.</p></caption>
<graphic xlink:href="fpls-08-00570-g002.tif"/>
</fig>
<p>As the total antioxidant capacity reflects overall changes in small molecular antioxidants, we separately quantified the levels of the major antioxidant molecules, including ASC, GSH, tocopherols, polyphenols, and flavonoids (<bold>Table <xref ref-type="table" rid="T2">2</xref></bold>). ASCt and ASC redox states were generally lower in the acidified site; however, the difference was significant only in samples collected in March. ASCt was increased in samples transplanted from the acidified to the control site. GSHt and GSH redox states were affected only in natural samples collected in March only. The level of &#x03B1;-tocopherol was higher in the algae at the acidified site in both seasons. &#x03B1;-tocopherol levels consistently increased in transplants from the control to the acidified site and decreased in samples transplanted from the acidified site to the control conditions. &#x03B2;- and &#x03B3;-tocopherols were increased only in samples transplanted from the acidified to the control site. Polyphenol and flavonoid levels were lower in the algae living for a long time at the CO<sub>2</sub> vents site. Moreover, polyphenol levels decreased when algae were transferred from the acidified to the control site.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Concentrations of ASCt, GSHt, ascorbate (ASC) redox state, and glutathione (GSH), tocopherols (alfa toc, beta toc, gamma toc), polyphenols and flavonoids in <italic>Sargassum vulgare</italic> collected at the acidified (A) and the control (C) site in March and July (natural populations) and after reciprocal transplants: C to C = control to control, C to A = control to acidified, A to A = acidified to acidified, A to C = acidified to control.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<th valign="top" align="center" colspan="4">Natural populations<hr/></th>
<th valign="top" align="center" colspan="4">Transplants<hr/></th>
</tr>
<tr>
<td valign="top" align="left"></td>
<th valign="top" align="center" colspan="2">March<hr/></th>
<th valign="top" align="center" colspan="2">July<hr/></th>
<td valign="top" align="left" colspan="4"></td></tr>
<tr>
<td valign="top" align="left"></td>
<th valign="top" align="center">C</th>
<th valign="top" align="center">A</th>
<th valign="top" align="center">C</th>
<th valign="top" align="center">A</th>
<th valign="top" align="center">C to C</th>
<th valign="top" align="center">C to A</th>
<th valign="top" align="center">A to A</th>
<th valign="top" align="center">A to C</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">ASCt (&#x03BC;mol/gFW)</td>
<td valign="top" align="center">0.22 @ 0.01</td>
<td valign="top" align="center">0.14 @ 0.01&#x02C6;&#x002A;</td>
<td valign="top" align="center">0.48 @ 0.12</td>
<td valign="top" align="center">0.33 @ 0.02</td>
<td valign="top" align="center">0.64 @ 0.21</td>
<td valign="top" align="center">0.40 @ 0.08</td>
<td valign="top" align="center">0.37 @ 0.01</td>
<td valign="top" align="center">0.713 @ 0.086&#x02C6;&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">ASC redox state (%)</td>
<td valign="top" align="center">93.83 @ 1.77</td>
<td valign="top" align="center">72.78 @ 7.54&#x02C6;&#x002A;</td>
<td valign="top" align="center">81.03 @ 6.94</td>
<td valign="top" align="center">62.74 @ 8.42</td>
<td valign="top" align="center">86.13 @ 6.64</td>
<td valign="top" align="center">73.46 @ 3.08</td>
<td valign="top" align="center">55.05 @ 11.24</td>
<td valign="top" align="center">55.05 @ 11.24</td>
</tr>
<tr>
<td valign="top" align="left">GSHt (&#x03BC;mol/gFW)</td>
<td valign="top" align="center">0.03 @ 0.002</td>
<td valign="top" align="center">0.04 @ 0.00&#x02C6;&#x002A;</td>
<td valign="top" align="center">0.12 @ 0.03</td>
<td valign="top" align="center">0.08 @ 0.01</td>
<td valign="top" align="center">0.15 @ 0.05</td>
<td valign="top" align="center">0.100 @ 0.01</td>
<td valign="top" align="center">0.08 @ 0.01</td>
<td valign="top" align="center">0.110 @ 0.023</td>
</tr>
<tr>
<td valign="top" align="left">GSH redox state (%)</td>
<td valign="top" align="center">72.90 @ 2.70</td>
<td valign="top" align="center">49.50 @ 0.17&#x02C6;&#x002A;</td>
<td valign="top" align="center">55.43 @ 9.58</td>
<td valign="top" align="center">61.93 @ 3.98</td>
<td valign="top" align="center">57.14 @ 7.96</td>
<td valign="top" align="center">61.93 @ 3.97</td>
<td valign="top" align="center">47.90 @ 7.30</td>
<td valign="top" align="center">62.03 @ 0.74</td>
</tr>
<tr>
<td valign="top" align="left">Alfa toc (ug/gFW)</td>
<td valign="top" align="center">8.82 @ 0.86</td>
<td valign="top" align="center">13.44 @ 0.80&#x02C6;&#x002A;&#x002A;</td>
<td valign="top" align="center">30.10 @ 3.55</td>
<td valign="top" align="center">41.32 @ 2.49&#x02C6;&#x002A;</td>
<td valign="top" align="center">19.26 @ 2.27</td>
<td valign="top" align="center">28.86 @ 1.95&#x02C6;&#x002A;</td>
<td valign="top" align="center">26.34 @ 1.67</td>
<td valign="top" align="center">14.98 @ 1.09&#x02C6;&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">Beta toc (ug/gFW)</td>
<td valign="top" align="center">0.88 @ 0.07</td>
<td valign="top" align="center">1.11 @ 0.09</td>
<td valign="top" align="center">2.37 @ 0.18</td>
<td valign="top" align="center">2.99 @ 0.26</td>
<td valign="top" align="center">1.65 @ 0.11</td>
<td valign="top" align="center">2.32 @ 0.40</td>
<td valign="top" align="center">2.14 @ 0.35</td>
<td valign="top" align="center">4.20 @ 0.24&#x02C6;&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">Gamma toc (ug/gFW)</td>
<td valign="top" align="center">0.74 @ 0.18</td>
<td valign="top" align="center">0.56 @ 0.08</td>
<td valign="top" align="center">1.54 @ 0.26</td>
<td valign="top" align="center">0.21 @ 0.04</td>
<td valign="top" align="center">1.10 @ 0.19</td>
<td valign="top" align="center">1.87 @ 0.22</td>
<td valign="top" align="center">1.69 @ 0.25</td>
<td valign="top" align="center">4.62 @ 0.20&#x02C6;&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">Polyphenol (&#x03BC;mol GA/gFW)</td>
<td valign="top" align="center">2.37 @ 0.28</td>
<td valign="top" align="center">1.41 @ 0.22&#x02C6;&#x002A;</td>
<td valign="top" align="center">3.53 @ 0.41</td>
<td valign="top" align="center">2.24 @ 0.12&#x02C6;&#x002A;</td>
<td valign="top" align="center">6.25 @ 0.16</td>
<td valign="top" align="center">6.01 @ 0.13</td>
<td valign="top" align="center">4.13 @ 0.10</td>
<td valign="top" align="center">3.09 @ 0.06&#x02C6;&#x002A;</td>
</tr>
<tr>
<td valign="top" align="left">Flavonoids (mmol quercetin/gFW)</td>
<td valign="top" align="center">2.32 @ 0.45</td>
<td valign="top" align="center">1.45 @ 0.13</td>
<td valign="top" align="center">5.07 @ 0.90</td>
<td valign="top" align="center">2.55 @ 0.13&#x02C6;&#x002A;</td>
<td valign="top" align="center">2.50 @ 0.08</td>
<td valign="top" align="center">3.49 @ 0.28</td>
<td valign="top" align="center">2.03 @ 0.29</td>
<td valign="top" align="center">1.99 @ 0.20</td></tr>
</tbody></table>
<table-wrap-foot>
<attrib><italic>Values are mean &#x00B1; SE, <italic>n</italic> = 3, <sup>&#x2217;</sup> <italic>p</italic> &#x003C; 0.05, <sup>&#x2217;&#x2217;</sup> <italic>p</italic> &#x003C; 0.01.</italic></attrib>
</table-wrap-foot>
</table-wrap>
</sec>
<sec><title>Antioxidant Enzyme Activities</title>
<p>To understand the mechanisms responsible for the maintenance of the cellular redox state in the algae living under contrasting conditions, we investigated the enzymatic components of the antioxidant machinery. SOD activity was higher in samples at the acidified site (<bold>Figure <xref ref-type="fig" rid="F3">3A</xref></bold>) and in samples transplanted from the control to the acidified site, while the activity decreased in transplants from the acidified site to the control one (<bold>Figure <xref ref-type="fig" rid="F3">3B</xref></bold>). The activities of H<sub>2</sub>O<sub>2</sub> scavenging enzymes showed variable responses (<bold>Figures <xref ref-type="fig" rid="F3">3C</xref>&#x2013;<xref ref-type="fig" rid="F3">Z</xref></bold>). In algae living at the acidified site, the activities of APX, GPX, and TRX were higher in both seasons compared to control samples, while in the case of PRX higher values were observed only in March samples. Inversely, levels of CAT, MDHAR, POX, GST, PRX, and GRX activities in samples collected at the acidified site were lower than the control samples. This trend was observed in both seasons for MDHAR, only in March for CAT, and only in July for the other enzymatic activities (POX, GST, PRX, and GRX). Upon short-term transplants of algae from the control to the acidified site, an increase in the activities of CAT, APX, DHAR, GPX, PRX, and TRX was observed. Inversely, APX, DHAR, POX, PRX, and TRX activities decreased when samples were moved from the acidified to the control site.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p><bold>Activities of antioxidant enzymes [superoxide dismutase (SOD), catalase (CAT), ascorbate peroxidase (APX), dehydroascorbate reductase (DHAR), monodehydroascorbate reductase (MDHAR), glutathione reductase (GR), Peroxidase (POX), glutathione peroxidase (GPX), glutathione <italic>S</italic>-transferase (GST), Peroxiredoxin (PRX), Glutaredoxin (GRX), Thioredoxin (TRX), and Ferredoxin-NADP(H) Reductase (FNR)] in <italic>S. vulgare</italic> samples collected at the control and the acidified site in March and July (natural populations) (A,C,E,G,I,K,M,O,Q,S,U,W,Y)</bold> and after reciprocal transplants <bold>(B,D,F,H,J,L,N,P,R,T,V,X,Z)</bold>. C-C = control to control, C-A = control to acidified, A-A = acidified to acidified, A-C = acidified to control. Values are mean &#x00B1; SE, <italic>n</italic> = 3, <sup>&#x2217;</sup> <italic>p</italic> &#x003C; 0.05, <sup>&#x2217;&#x2217;</sup> <italic>p</italic> &#x003C; 0.01, <sup>&#x2217;&#x2217;&#x2217;</sup> <italic>p</italic> &#x003C; 0.001.</p></caption>
<graphic xlink:href="fpls-08-00570-g003.tif"/>
</fig>
</sec>
<sec><title>Oxidative Metabolism</title>
<p>To examine whether OA affects the energy metabolism in this species, we measured the activities of oxidative metabolic enzymes. Higher activities of NADH-DH and COX were detected in algae living at the acidified site (<bold>Figures <xref ref-type="fig" rid="F4">4A,C</xref></bold>). Transplantation from the control to the acidified site also caused increase of these enzymatic activities (<bold>Figures <xref ref-type="fig" rid="F4">4B,D</xref></bold>), whereas the inverse transplantation caused a decrease in COX activity (<bold>Figure <xref ref-type="fig" rid="F4">4D</xref></bold>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p><bold>Activities of oxidative metabolic enzymes, NADH-DH, and cytochrome c oxidase (COX), in <italic>S. vulgare</italic> samples collected at the control and the acidified site in March and July (natural populations) (A,C)</bold> and after reciprocal transplants <bold>(B,D)</bold>. C-C = control to control, C-A = control to acidified, A-A = acidified to acidified, A-C = acidified to control. Values are mean &#x00B1; SE, <italic>n</italic> = 3, <sup>&#x2217;</sup> <italic>p</italic> &#x003C; 0.05, <sup>&#x2217;&#x2217;</sup> <italic>p</italic> &#x003C; 0.01, <sup>&#x2217;&#x2217;&#x2217;</sup> <italic>p</italic> &#x003C; 0.001.</p></caption>
<graphic xlink:href="fpls-08-00570-g004.tif"/>
</fig>
</sec>
</sec>
<sec><title>Discussion</title>
<p>The aim of this study was to understand the molecular mechanisms responsible for the survival of the brown alga <italic>S. vulgare</italic> under increased CO<sub>2</sub> levels that lead to acidification. Both effects are linked, also when induced by global climate change, and are likely to affect the growth and survival of key algal species. Therefore, it is important to understand how these environmental changes affect dominant macroalgae under natural conditions in long- and short-term. Therefore, following a genome-wide transcriptome analysis (<xref ref-type="bibr" rid="B57">Kumar et al., 2017</xref>), we addressed physiological and biochemical parameters to understand the long- and short-term adaptation of <italic>S. vulgare</italic> populations naturally growing in acidified conditions.</p>
<sec><title>Photo-Physiological Responses</title>
<p>The lack of significant changes in the photosynthetic parameters of the <italic>S. vulgare</italic> population living at the vents site of the Castello Aragonese (Ischia Island) could be related to the presence of carbon concentration mechanisms which rely on <inline-formula><mml:math id="M8"><mml:msubsup><mml:mi mathvariant='normal' mathcolor='black'>HCO</mml:mi><mml:mi mathvariant='normal' mathcolor='black'>3</mml:mi><mml:mn mathvariant='normal' mathcolor='black'>&#x2013;</mml:mn></mml:msubsup></mml:math></inline-formula> utilization (<xref ref-type="bibr" rid="B51">Koch et al., 2013</xref>). The results of the pH drift experiments indicated that the main exogenous inorganic carbon source for <italic>S. vulgare</italic> was indeed <inline-formula><mml:math id="M9"><mml:msubsup><mml:mi mathvariant='normal' mathcolor='black'>HCO</mml:mi><mml:mi mathvariant='normal' mathcolor='black'>3</mml:mi><mml:mn mathvariant='normal' mathcolor='black'>&#x2013;</mml:mn></mml:msubsup></mml:math></inline-formula>. Moreover, even though there would be more diffusive entry of CO<sub>2</sub> into the cells under acidified conditions, the capacity for <inline-formula><mml:math id="M10"><mml:msubsup><mml:mi mathvariant='normal' mathcolor='black'>HCO</mml:mi><mml:mi mathvariant='normal' mathcolor='black'>3</mml:mi><mml:mn mathvariant='normal' mathcolor='black'>&#x2013;</mml:mn></mml:msubsup></mml:math></inline-formula> utilization was not affected. Similar effects on photosynthesis were obtained in other long-term studies conducted <italic>in situ</italic> on the brown alga <italic>Lobophora variegata</italic> (<xref ref-type="bibr" rid="B10">Betancor et al., 2014</xref>) and the seagrass <italic>Posidonia oceanica (L.) Delile</italic> (<xref ref-type="bibr" rid="B37">Hall-Spencer et al., 2008</xref>). In contrast, an increase in rETRmax was detected in <italic>Cystoseira corniculata</italic> (<xref ref-type="bibr" rid="B5">Baggini, 2015</xref>) and in the calcifying species <italic>Padina pavonica and P. australis</italic> at volcanic seeps in Papua New Guinea (<xref ref-type="bibr" rid="B49">Johnson et al., 2012</xref>). Our short-term data from <italic>S. vulgare</italic> transplant experiments (from the control to the acidified site) revealed an increase in rETRmax, in line with the positive photophysiological response observed in <italic>Cystoseira compressa</italic> after short-term transplant at CO<sub>2</sub> vents off the island of Vulcano (<xref ref-type="bibr" rid="B16">Celis-Pl&#x00E1; et al., 2015</xref>). The finding that short-term exposure to acidification induced photosynthetic responses suggests a physiological acclimatization in <italic>S. vulgare</italic>. On the other hand, the absence of changes in photosynthesis under conditions of chronic acidification indicates that the local population is adapted. Initially, increased levels of CO<sub>2</sub> might be beneficial for <italic>S. vulgare</italic>, allowing them to grow faster. Under acute increased CO<sub>2</sub> levels, photosynthesis may no longer be CO<sub>2</sub>-limited, and CCMs unnecessary, allowing the algae to saved energy that can be allocated to growth, explaining their dominance around volcanic CO<sub>2</sub> vents in the Mediterranean Sea (<xref ref-type="bibr" rid="B74">Porzio, 2010</xref>; <xref ref-type="bibr" rid="B6">Baggini et al., 2014</xref>). Furthermore, our reciprocal transplants from the acidified to the control pH showed signs of physiological stress (decreased <italic>F</italic><sub>v</sub>/<italic>F</italic><sub>m</sub>), suggesting again that the algal population at the vents is adapted to grow under the acidified conditions.</p>
</sec>
<sec><title>Energy Metabolism</title>
<p>It should be kept in mind that, apart from constituting a benefit for autotrophs, the increase in aqueous CO<sub>2</sub> causes seawater acidification which has the potential to affect metabolism and cellular homeostasis, thereby impairing cellular function or increasing energy demand, as it has been found in cyanobacteria and phytoplankton (<xref ref-type="bibr" rid="B86">Taylor et al., 2012</xref>; <xref ref-type="bibr" rid="B13">Brutemark et al., 2015</xref>). Indeed, we found higher activities of oxidative metabolizing enzymes in response to short-term transplants from the control to the acidified site; these higher values were maintained in natural populations under long-term conditions of acidification. This finding is in line with our recent RNA Seq data showing up-regulation of the transcripts encoding proteins involved in energy metabolism, such as NADH dehydrogenase subunits I, II, IV, and cytochrome oxidase subunits I, II, III, in <italic>S. vulgare</italic> growing for long-term at Ischia CO<sub>2</sub> vents (<xref ref-type="bibr" rid="B57">Kumar et al., 2017</xref>). A general decrease in activities of oxidative enzymes upon transplantation of <italic>S. vulgare</italic> from acidified to control conditions further supported our finding that acidification increases energy demand.</p>
</sec>
<sec><title>Cellular Redox Status</title>
<p>Notwithstanding elevated CO<sub>2</sub> can induce oxidative stress in marine animal organisms (<xref ref-type="bibr" rid="B87">Tomanek et al., 2011</xref>; <xref ref-type="bibr" rid="B44">Hu et al., 2015</xref>), no data are available for macroalgae. To our knowledge, this is the first study monitoring redox state and antioxidant activities in macroalgae in response to <italic>in situ</italic> acidification. We observed that thalli of <italic>S. vulgare</italic> growing for a long time at pH conditions lower than current ones have developed mechanisms to maintain cellular redox homeostasis. In contrast, the imbalance of the redox state in thalli transplanted from the control to the acidified site, suggests that acidification induces stress in short-time scale. In autotrophs, respiration, and photosynthesis are sources of radical formation (<xref ref-type="bibr" rid="B32">Gill and Tuteja, 2010</xref>) and both processes were observed to be increased in <italic>S. vulgare</italic> thalli transplanted to the acidified site. Even though there was an increase in antioxidant capacity in plants transplanted from control to acidified conditions, it was most likely insufficient to balance the increased formation of oxidant species, leading to oxidative damage as indicated by increased levels of MDA (<bold>Figure <xref ref-type="fig" rid="F2">2F</xref></bold>). However, in natural populations under long-term conditions ROS values were lower in the acidified site than those in the control one, whilst H<sub>2</sub>O<sub>2</sub> and lipid peroxidation were comparable. These results could be explained with a higher efficiency of energy transfer reactions, suggesting the capability of the acidified population to overcome the negative effects of lowered pH and to sustain itself in the future acidified ocean, if acclimatized for longer periods. This is also supported by the finding that the levels of nitric oxide, which has been reported to be involved in different physiological responses in marine photosynthetic organisms (<xref ref-type="bibr" rid="B58">Kumar et al., 2015</xref>), do not change in natural populations from the acidified and the control sites as well as in transplants. On the other hand, OA induced reduction of protein <italic>S</italic>-nitrosylation, thus suggesting the modulation of nitric oxide signaling in adaptation of <italic>S. vulgare</italic>.</p>
<p>The total antioxidant capacity, which determines the additive antioxidant properties of plants, was comparable in specimens from the two sites, but it increased in short-term transplants from control to acidified conditions and decreased in the opposite transplants. The total antioxidant activities have been reported to increase in short-term acidified conditions in the macroalga <italic>C. compressa</italic> (<xref ref-type="bibr" rid="B16">Celis-Pl&#x00E1; et al., 2015</xref>) and in the microalga <italic>Nannochloropsis salina</italic> (<xref ref-type="bibr" rid="B94">Yang&#x00FC;ez et al., 2015</xref>), while, in long-term conditions, a significant decrease has been reported for the brown alga <italic>L. variegata</italic> (<xref ref-type="bibr" rid="B10">Betancor et al., 2014</xref>). Data obtained in the present study also indicate that thalli of <italic>S. vulgare</italic> growing under acidified conditions for short-term will have a general increase in antioxidative enzyme activities. In natural populations under long-term conditions, some antioxidant activities retain high values to increase algal surviving capabilities, while others appeared unchanged or lower compared to controls, thus suggesting an adaptation process (<bold>Figure <xref ref-type="fig" rid="F5">5</xref></bold>). SOD represents the first line of antioxidant defense in marine algae (<xref ref-type="bibr" rid="B15">Carvalho et al., 2004</xref>), and the induction of this enzyme indicates its key role in inhibiting superoxide radical overproduction upon an increase of oxidative metabolism under acidified conditions. The increase of SOD activity in transplant experiments from the control to the acidified site and its decrease in the reverse experiments are in line with a higher energy metabolism found after lower pH exposure. The accumulated H<sub>2</sub>O<sub>2</sub> in <italic>S. vulgare</italic> in short-term acidification may be removed by increased CAT activity. The ascorbate-glutathione (ASC/GSH) cycle, a major mechanism of H<sub>2</sub>O<sub>2</sub> control in autotrophs (<xref ref-type="bibr" rid="B27">Foyer and Noctor, 2011</xref>), which in higher plants alleviates stress impact by CO<sub>2</sub> enrichment (<xref ref-type="bibr" rid="B1">AbdElgawad et al., 2015</xref>), showed also some changes in <italic>S. vulgare</italic> under acidified conditions. The increase in APX activity in both natural and transplanted samples was paralleled by slight decrease in ASC levels and the ASC redox state. In short-term transplants, acidification induced DHAR activity in <italic>S. vulgare</italic>, which is involved in generation of ASC. In natural populations under long-term conditions, MDHAR activity was decreased, while SOD and APX activities increased. These results are in line with our recent RNA Seq data showing increased transcription of SOD and APX, and down-regulation of MDHAR expression in populations living at the acidified site (<xref ref-type="bibr" rid="B57">Kumar et al., 2017</xref>). The finding under acidified conditions of the increased activities of the enzymes involved in H<sub>2</sub>O<sub>2</sub> detoxification, PRX, TRX, and GPX (<xref ref-type="bibr" rid="B28">Foyer and Shigeoka, 2011</xref>), indicate an active participation of the thioredoxin dependent pathway of H<sub>2</sub>O<sub>2</sub> removal in <italic>S. vulgare.</italic></p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p><bold>Summary of antioxidant enzymes activity in natural populations and in transplants.</bold> Transplants: control to acidified (red arrow), acidified to control (green arrow); natural populations: March (blue arrow), July (brown arrow). Arrow head up: increased activity; arrow head down: decreased activity; arrow without head: no changes in the activity.</p></caption>
<graphic xlink:href="fpls-08-00570-g005.tif"/>
</fig>
</sec>
</sec>
<sec><title>Conclusion</title>
<p>The different response of <italic>S. vulgare</italic> to OA to long- and short-term exposures confirms that the population facing chronic acidification is adapted to live under acidified conditions. In reciprocal transplant experiments, <italic>S. vulgare</italic> acclimatized to acidification showed physiological stress (decreased <italic>F</italic><sub>v</sub>/<italic>F</italic><sub>m</sub>) when transferred to the control site, further supporting the idea that populations living for some decades at the vents site are adapted to grow under acidified conditions. The occurrence of oxidative stress in short-term conditions suggests that macroalgae need longer time to overcome the effects of acidification. However, utilizing molecular and enzymatic antioxidants, <italic>S. vulgare</italic> is capable to mitigate stress effects and adapt to acidified conditions.</p>
<p>Based on these results, a series of events have likely happened in <italic>S. vulgare</italic> at the acidified site (<bold>Figure <xref ref-type="fig" rid="F6">6</xref></bold>). The increase in the photosynthetic performance, and a higher energy production would be useful in maintaining ion-homeostasis and for enhancing growth. ROS, nitric oxide, and other redox molecules would be contributing toward maintaining cellular signaling and genetic regulation under acidified conditions. The short-term acclimation responses seem to allow <italic>S. vulgare</italic> to adapt to the acidified conditions, resulting in a population with a more active energy metabolism, without signs of oxidative stress and changes in photosynthetic efficiency. Overall, the results obtained in this study suggest that <italic>S. vulgare</italic> could be expected to be among the species benefitting from future acidified ocean.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption><p><bold>Summary of possible series of events happened to <italic>S. vulgare</italic> at the acidified site.</bold> Red boxes: examined processes; black boxes: hypothesized processes.</p></caption>
<graphic xlink:href="fpls-08-00570-g006.tif"/>
</fig>
</sec>
<sec><title>Author Contributions</title>
<p>AK, AP, MCB, IC, and MD designed the study, AK and MCB performed sample collection and <italic>in situ</italic> transplant experiments, AK and ML performed <italic>in situ</italic> photosynthetic measurements, AK and HAE performed biochemical and physiological experiments and collected data, AK, HAE, IC, MCB, and AP analyzed output data and results, GB and HA provided Materials and Methods for biochemical tests, AK wrote the first draft of the manuscript, and all the authors contributed substantially to the interpretation and final version of the paper.</p>
</sec>
<sec><title>Conflict of Interest Statement</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="financial-disclosure">
<p><bold>Funding.</bold> This work has been co-funded by SZN and the Flagship RITMARE &#x2013; The Italian Research for the Sea &#x2013; coordinated by the Italian National Research Council and by the Italian Ministry of Education, University and Research within the National Research Program 2012&#x2013;2015. AK has been supported by a SZN-OU Ph.D. fellowship and IC by a SZN postdoc fellowship. HAE was supported by a research project (The regulation of cell division in the growth zone of the maize leaf) awarded to GB by the Flemish Science Foundation (FWO).</p>
</fn>
</fn-group>
<ack>
<p>We thank Captain V. Rando for his assistance in sample collection.</p>
</ack>
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