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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.2023.1255915</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>Nanoplanktonic diatom rapidly alters sinking velocity via regulating lipid content and composition in response to changing nutrient concentrations</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Wei</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>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Hao</surname>
<given-names>Qiang</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="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhu</surname>
<given-names>Jie</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="aff5">
<sup>5</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Deng</surname>
<given-names>Yangjie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Xi</surname>
<given-names>Maonian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Cai</surname>
<given-names>Yuming</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Chenggang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Zhai</surname>
<given-names>Hongchang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Le</surname>
<given-names>Fengfeng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Second Institute of Oceanography, Ministry of Natural Resources</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Key Laboratory of Marine Ecosystem Dynamics, Ministry of Natural Resources</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Key Laboratory of Nearshore Engineering Environment and Ecological Security of Zhejiang Province, Second Institute of Oceanography, Ministry of Natural Resources</institution>, <addr-line>Zhoushan</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Ocean College, Zhejiang University</institution>, <addr-line>Zhoushan</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Satya Panigrahi, Indira Gandhi Centre for Atomic Research (IGCAR), India</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Jelena Godrijan, Rudjer Boskovic Institute, Croatia; Hyungseok Kim, Massachusetts Institute of Technology, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Qiang Hao, <email xlink:href="mailto:haoq@sio.org.cn">haoq@sio.org.cn</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>06</day>
<month>12</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1255915</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>07</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>11</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Zhang, Hao, Zhu, Deng, Xi, Cai, Liu, Zhai and Le</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Zhang, Hao, Zhu, Deng, Xi, Cai, Liu, Zhai and Le</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>Diatom sinking plays a crucial role in the global carbon cycle, accounting for approximately 40% of marine particulate organic carbon export. While oceanic models typically represent diatoms as microphytoplankton (&gt; 20 &#x3bc;m), it is important to recognize that many diatoms fall into the categories of nanophytoplankton (2-20 &#x3bc;m) and picophytoplankton (&lt; 2 &#x3bc;m). These smaller diatoms have also been found to significantly contribute to carbon export. However, our understanding of their sinking behavior and buoyancy regulation mechanisms remains limited. In this study, we investigate the sinking behavior of a nanoplanktonic diatom, <italic>Phaeodactylum tricornutum</italic> (<italic>P. tricornutum</italic>), which exhibits rapid changes in sinking behavior in response to varying nutrient concentrations. Our results demonstrate that a higher sinking rate is observed under phosphate limitation and depletion. Notably, in phosphate depletion, the sinking rate of <italic>P. tricornutum</italic> was 0.79 &#xb1; 0.03&#xa0;m d<sup>-1</sup>, nearly three times that of the previously reported sinking rates for <italic>Skeletonema costatum</italic>, <italic>Ditylum brightwellii</italic>, and <italic>Chaetoceros gracile</italic>. Furthermore, during the first 6&#xa0;h of phosphate spike, the sinking rate of <italic>P. tricornutum</italic> remained consistently high. After 12&#xa0;h of phosphate spike, the sinking rate decreased to match that of the phosphate repletion phase, only to increase again over the next 12 hours due to phosphate depletion. This rapid sinking behavior contributes to carbon export and potentially allows diatoms to exploit nutrient-rich patches when encountering increased nutrient concentrations. We also observed a significant positive correlation (P&lt; 0.001) between sinking rate and lipid content (R = 0.91) during the phosphate depletion and spike experiment. It appears that <italic>P. tricornutum</italic> regulates its sinking rate by increasing intracellular lipid content, particularly digalactosyldiacylglycerol, hexosyl ceramide, monogalactosyldiacylglycerol, and triglycerides. Additionally, <italic>P. tricornutum</italic> replaces phospholipids with more dense membrane sulfolipids, such as sulfoquinovosyldiacylglycerol under phosphate shortage. These findings shed light on the intricate relationship between nutrient availability, sinking behavior, and lipid composition in diatoms, providing insights into their adaptive strategies for carbon export and nutrient utilization.</p>
</abstract>
<kwd-group>
<kwd>sinking rate</kwd>
<kwd>nutrient limitation</kwd>
<kwd>lipid accumulation and remodeling</kwd>
<kwd>nanoplanktonic diatom</kwd>
<kwd>phaeodactylum tricornutum</kwd>
<kwd>biological carbon pump</kwd>
</kwd-group>
<counts>
<fig-count count="10"/>
<table-count count="2"/>
<equation-count count="2"/>
<ref-count count="59"/>
<page-count count="14"/>
<word-count count="7427"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Marine Biology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Sinking is a crucial factor influencing the spatial distribution (<xref ref-type="bibr" rid="B48">Smayda, 1970</xref>) and vertical carbon flux of phytoplankton in the ocean, as well as their successional patterns and seasonal cycles across different size classes (<xref ref-type="bibr" rid="B7">Bienfang et&#xa0;al., 1982</xref>). Among these phytoplankton, diatoms are significant contributors to organic carbon production (<xref ref-type="bibr" rid="B49">Smetacek, 1999</xref>), accounting for approximately 20% of Earth&#x2019;s total primary productivity and up to 40% of primary productivity in the oceans (<xref ref-type="bibr" rid="B20">Field et&#xa0;al., 1998</xref>). Their sinking behavior plays a critical role in the global carbon cycle, contributing around 40% of the export of particulate organic carbon to the mesopelagic and bathypelagic layers (<xref ref-type="bibr" rid="B27">Jin et&#xa0;al., 2006</xref>). However, the specific contributions of different diatom taxa to carbon export remain poorly studied.</p>
<p>Numerous environmental parameters, including temperature, salinity (<xref ref-type="bibr" rid="B8">Bienfang and Szyper, 1982</xref>), irradiance (<xref ref-type="bibr" rid="B23">Granata, 1991</xref>), and nutrient availability (<xref ref-type="bibr" rid="B6">Bienfang, 1981</xref>; <xref ref-type="bibr" rid="B7">Bienfang et&#xa0;al., 1982</xref>; <xref ref-type="bibr" rid="B18">Du Clos et&#xa0;al., 2021</xref>), significantly impact the sinking rate of diatoms. Nutrients, in particular, are essential for diatom growth and are closely linked to their photosynthetic and physiological status. It is widely recognized that diatoms exhibit lower sinking rates under nutrient-replete conditions. For instance, <italic>Skeletonema costatum</italic>, <italic>Chaetoceros gracile Sch&#xfc;tt</italic>, and <italic>Ditylum brightwellii</italic> display significantly higher sinking rates under silicon-limited conditions, while nitrogen and phosphorus limitation reduce their sinking rates (<xref ref-type="bibr" rid="B7">Bienfang et&#xa0;al., 1982</xref>). Similarly, <italic>Coscinodiscus wailesii</italic> exhibits higher sinking rates under each of the three nutrient-limited conditions (<xref ref-type="bibr" rid="B18">Du Clos et&#xa0;al., 2021</xref>).</p>
<p>Various buoyancy regulation mechanisms have been proposed, primarily based on changes in cell density. These mechanisms include selective ion transport (<xref ref-type="bibr" rid="B4">Anderson and Sweeney, 1978</xref>), organic permeates generation (<xref ref-type="bibr" rid="B10">Boyd and Gradmann, 2002</xref>), carbohydrate ballast effect (<xref ref-type="bibr" rid="B31">Lavoie et&#xa0;al., 2016</xref>), opal accumulation (<xref ref-type="bibr" rid="B53">Turner, 2015</xref>; <xref ref-type="bibr" rid="B52">Tr&#xe9;guer et&#xa0;al., 2018</xref>), lipid accumulation (<xref ref-type="bibr" rid="B3">Anderson and Sweeney, 1977</xref>), active water molecule transport (<xref ref-type="bibr" rid="B46">Raven and Doblin, 2014</xref>), and periodic cell expansion (<xref ref-type="bibr" rid="B30">Lavoie and Raven, 2020</xref>).</p>
<p>Despite numerous studies investigating changes in diatom sinking rates in response to varying nutrient concentrations and buoyancy regulation mechanisms, most of these studies have focused exclusively on microphytoplanktonic diatoms (&gt; 20 &#x3bc;m). The effects of different nutrient limitations on sinking behavior have not been explored in nanophytoplanktonic diatoms (2-20 &#x3bc;m) and picophytoplanktonic diatoms (&lt; 2 &#x3bc;m). Notably, quasi-monotypic blooms of small diatoms (&lt; 20 &#xb5;m) have been observed in well-mixed environments at mid- and high-latitudes (<xref ref-type="bibr" rid="B22">Gould and Wiesenburg, 1990</xref>; <xref ref-type="bibr" rid="B14">Canovas et&#xa0;al., 1996</xref>; <xref ref-type="bibr" rid="B12">Buck et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B17">Daniels et&#xa0;al., 2015</xref>), with their frustules found in high abundances in sediment trap samples (<xref ref-type="bibr" rid="B32">Leblanc et&#xa0;al., 2018</xref>). These tiny diatoms play a crucial role in the microbial loop (<xref ref-type="bibr" rid="B33">Legendre and Le F&#xc3;&#x192;&#xc2;&#xa8;vre, 1995</xref>) and contribute significantly to global carbon export.</p>
<p>
<italic>Phaeodactylum tricornutum</italic> (<italic>P. tricornutum</italic>), a pennate marine diatom, is a valuable model organism that is widely distributed in the marine environment, particularly in the coastal regions of the China Sea (<xref ref-type="bibr" rid="B59">Xue et&#xa0;al., 2018</xref>). Under certain environmental conditions, excessive growth of <italic>P. tricornutum</italic> can occur in coastal waters (<xref ref-type="bibr" rid="B13">Cai et&#xa0;al., 2009</xref>), exerting a significant impact on the aquatic ecosystem (<xref ref-type="bibr" rid="B35">Liu et&#xa0;al., 2015</xref>). In summer, phosphorus limitations are observed in some Chinese estuaries, such as the Yangtze River and Pearl River estuaries, due to high nitrogen and low phosphorus runoff (<xref ref-type="bibr" rid="B56">Wong et&#xa0;al., 1998</xref>; <xref ref-type="bibr" rid="B58">Xu et&#xa0;al., 2008</xref>). Moreover, the nutrient concentrations in these estuaries and adjacent waters vary spatially and temporally due to the convergence of ocean currents or interactions with the shelf edge (<xref ref-type="bibr" rid="B16">Chen et&#xa0;al., 2012</xref>). The effects of nutrient limitations and rapid changes in nutrient concentrations on the sinking rate of <italic>P. tricornutum</italic>, as well as its buoyancy regulation mechanisms, remain unclear.</p>
<p>
<italic>P. tricornutum</italic> exhibits three morphotypes: fusiform, triradiate, and ovate (<xref ref-type="bibr" rid="B34">Lewin et&#xa0;al., 1958</xref>; <xref ref-type="bibr" rid="B39">Martino et&#xa0;al., 2007</xref>). Compared to typical diatoms, <italic>P. tricornutum</italic> has lower silica content, with only the ovate form possessing a frustule. <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> illustrates the co-dominance of the fusiform and triradiate forms in the experiments. In this study, we investigated changes in the sinking behavior of <italic>P. tricornutum</italic> under nutrient-replete, nutrient-limited, nutrient-depleted, and nutrient-restored conditions using a single culture. We also examined intracellular parameters closely associated with cell density, including lipid, carbohydrate, and protein content and composition. Correlation analysis was applied to investigate the mechanisms underlying the buoyancy regulation of <italic>P. tricornutum</italic>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The morphotypes of codominant <italic>P. tricornutum</italic> in the present experiments.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1255915-g001.tif"/>
</fig>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Diatom cultures</title>
<p>The diatom <italic>P. tricornutum</italic> was obtained from Shanghai Guangyu Biological Technology Co., Ltd. It was cultured in sterile natural seawater, supplemented with nutrients, trace metals, and vitamins following the f/2 recipe (<xref ref-type="bibr" rid="B24">Guillard &amp; Ryther, 1962</xref>; <xref ref-type="bibr" rid="B41">Orlowska et&#xa0;al., 2017</xref>). The culture conditions for <italic>P. tricornutum</italic> included a temperature of 25 &#xb0;C and a light-dark cycle of 12:12 hours.</p>
</sec>
<sec id="s2_2">
<title>Single nutrient depletion and spike experiments</title>
<p>The experiments aimed to analyze the effects of nutrient depletion (PO<sub>4</sub>
<sup>3-</sup> and NO<sub>3</sub>
<sup>-</sup>) and subsequent recovery on <italic>P. tricornutum</italic>. To acclimate the cells to the experimental conditions, daily dilutions were performed using sterile natural seawater with consistent nutrient concentrations. This adjustment process lasted 2-3 days before each experiment, ensuring the biomass matched that of the previous day. The cultures were then transferred to glass bottles and diluted to a volume of 15 L with sterile natural seawater, while maintaining an initial cell abundance of approximately 10<sup>5</sup> cells per mL. The initial concentrations of nitrate, phosphate, and silicate for the phosphate-depletion and nitrate-depletion experiments were set at 50 &#xb5;M, 2 &#xb5;M, 50 &#xb5;M, and 12 &#xb5;M, 10 &#xb5;M, 50 &#xb5;M, respectively. Trace metals and vitamins were added based on the f/2 culture media. Throughout the nutrient-depletion experiments, non-limiting nutrients, trace metals, and sufficient vitamins were maintained to ensure only one nutrient became limiting. The strain was cultured under a light intensity of approximately 250 &#xb5;mol photon m<sup>-2</sup> s<sup>-1</sup>, with a 12:12 h light-dark cycle, at room temperature. The culture had a salinity of 28.5&#x2030;, a pH of 8.0, and was continuously stirred at 160 rpm. The first light exposure begins at time point zero. In the single nutrient depletion experiment, nutrient samples are collected every 12 hours, and cell abundance and transparent exopolymer particles samples are collected every 24 hours. Nutrient status was determined based on the growth rate of the cells, classified as: (1) nutrient-repletion (NR), representing log-phase growth; (2) nutrient-limitation (NL), with a growth rate of 0.3~0.1 d<sup>-1</sup>; (3) nutrient-depletion (ND), where the growth rate approached zero. When the growth rate neared zero, the missing nutrient was added to the culture to restore replete conditions. This process is referred to as a nutrient spike. Sinking rate, protein, carbohydrate, total lipid, and absolute quantitative lipidomics analyses were conducted at three nutrient statuses and five time points: nutrient-repletion, nutrient-limitation, nutrient-depletion, and 2, 6, 12, 18, and 24 hours after adding the limiting nutrient.</p>
</sec>
<sec id="s2_3">
<title>Growth conditions</title>
<p>Cell abundance was monitored using an automated cell counter from Shanghai RuiYu Biotech Co. Ltd. The growth rate (&#x3bc;, d<sup>-1</sup>) was calculated daily using the following Equation 1:</p>
<disp-formula>
<label>(Eq. 1)</label>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mtext>&#x3bc;</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mtext>ln</mml:mtext>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mfrac bevelled="true">
<mml:mrow>
<mml:msub>
<mml:mi>C</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>C</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>t</mml:mi>
<mml:mn>1</mml:mn>
</mml:msub>
<mml:mo>&#x2212;</mml:mo>
<mml:msub>
<mml:mi>t</mml:mi>
<mml:mn>0</mml:mn>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where C&#x2080; and C<sub>1</sub> represent the cell concentrations at times t&#x2080; and t<sub>1</sub>, respectively.</p>
<p>The optimal photochemical efficiency of photosystem II (PSII) was measured daily using water pulse amplitude modulated (PAM) fluorometry from Heinz Walz GmbH (91090 Effeltrich, Germany). Prior to measurement, samples underwent a 20-minute dark treatment to obtain F<sub>m</sub> (maximum fluorescence) and F<sub>0</sub> (minimum fluorescence). The maximum photosynthetic quenching capacity (F<sub>v</sub>) was then calculated as the difference between F<sub>m</sub> and F<sub>0</sub>.</p>
</sec>
<sec id="s2_4">
<title>Nutrient analysis</title>
<p>To analyze the nutrient content, water samples were filtered using 0.45 &#x3bc;m polycarbonate membranes. Thymol spectrophotometry (<xref ref-type="bibr" rid="B42">Osibanjo &amp; Ajayi, 1980</xref>), Naphthylethylenediamine hydrochloride spectrophotometry (<xref ref-type="bibr" rid="B51">Tarafder &amp; Rathore, 1988</xref>), molybdenum blue method (<xref ref-type="bibr" rid="B25">Holman, 1943</xref>), and silicon molybdenum blue method (<xref ref-type="bibr" rid="B37">Luke, 1953</xref>) were employed to measure the concentrations of nitrate, nitrite, phosphate, and silicate, respectively. The total nitrogen concentration was determined by summing the concentrations of nitrite and nitrate.</p>
</sec>
<sec id="s2_5">
<title>Sinking rate analysis</title>
<p>The sinking rate of the cells was determined using the SETCOL method outlined by <xref ref-type="bibr" rid="B6">Bienfang (1981)</xref>. The SETCOL apparatus, as depicted in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>, consisted of three opaque plastic columns measuring 1.0&#xa0;m in length and with a volume of 1111 mL. Each column was filled with a homogeneous water sample efficiently. Following this, the columns were left undisturbed at room temperature for 3 hours. Precipitated samples were collected from the bottom, middle, and upper compartments of the columns by sequential drainage. The phytoplankton biomass in each compartment was determined by measuring chlorophyll-<italic>a</italic> concentration (Chl-<italic>a</italic>), and the sinking rate was calculated using the following Equation 2:</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The SETCOL apparatuses. The red arrows indicate the direction of liquid flow. Initially, the algal suspension was introduced into three opaque plastic columns using a vacuum pump. Once all three columns were filled, the vacuum pump and the bottom valve of each column were closed. Subsequently, the columns were left undisturbed at room temperature for a period of 3 hours. Following this, the two valves located in the middle and upper sections of each column were closed, and sequential samples were collected from the bottom, middle, and top sections of each column. Chl-<italic>a</italic> concentrations in these samples, as well as the initial algal suspension, were measured to calculate the sinking rate of microalgae. After completing the experiment, the three columns were rinsed with distilled water five times and prepared for future use.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1255915-g002.tif"/>
</fig>
<disp-formula>
<label>(Eq. 2)</label>
<mml:math display="block" id="M2">
<mml:mrow>
<mml:mtext>&#x3b8;</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mfrac bevelled="true">
<mml:mrow>
<mml:msub>
<mml:mi>B</mml:mi>
<mml:mi>s</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>B</mml:mi>
<mml:mi>t</mml:mi>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo>&#xd7;</mml:mo>
<mml:mfrac bevelled="true">
<mml:mi>L</mml:mi>
<mml:mi>t</mml:mi>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where <inline-formula>
<mml:math display="inline" id="im1">
<mml:mtext>&#x3b8;</mml:mtext>
</mml:math>
</inline-formula> represents the sinking rate in meters per day (m d<sup>-1</sup>), <inline-formula>
<mml:math display="inline" id="im2">
<mml:mrow>
<mml:msub>
<mml:mi>B</mml:mi>
<mml:mi>s</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> denotes the biomass settled into the bottom compartment, <inline-formula>
<mml:math display="inline" id="im3">
<mml:mrow>
<mml:msub>
<mml:mi>B</mml:mi>
<mml:mi>t</mml:mi>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula> indicates the total biomass in the column, L signifies the column length in meters, and t represents the settling time in days.</p>
<p>For Chl-<italic>a</italic> analysis, the samples were filtered using 25&#xa0;mm GF/F filters with a pore size of 0.65 &#x3bc;m under low vacuum pressure (&lt; 0.04 MPa). Subsequently, the filtered samples were stored in the dark at -20 &#xb0;C. After 24 hours of extraction with 90% acetone at -20&#xb0;C, the Chl-<italic>a</italic> concentration was measured using a Turner-Designs Trilogy&#x2122; fluorometer (<xref ref-type="bibr" rid="B15">Caspers, 1970</xref>).</p>
</sec>
<sec id="s2_6">
<title>Transparent exopolymer particles (TEPs) analysis</title>
<p>Concentrations of TEPs were measured using a modified version of a previously established method (<xref ref-type="bibr" rid="B44">Passow and Alldredge, 1995</xref>). Triplicate 10 mL samples were filtered through 0.4 &#x3bc;m pore size polycarbonate filters under a low constant vacuum (&lt; 0.02 MPa). The filters were then stained with 0.5 mL of a 0.02% Alcian Blue solution for 2 seconds. To eliminate excess dye, the filters were rinsed twice with 2 mL of distilled water. Next, the filters were subjected to an extraction process using 6 mL of 80% sulfuric acid for 2 hours. The absorbance of TEPs was determined at 787 nm using a spectrophotometer, with Xanthan gum serving as the standard.</p>
</sec>
<sec id="s2_7">
<title>Cell physiological and biochemical analysis</title>
<p>The cell morphology was analyzed using a scanning electron microscope (Model: TM-1000 Tabletop Microscope, company: Hitachi High-Technologies Corporation). To prepare the samples, 10 mL aliquots were filtered through 3.0 &#x3bc;m pore size isopore membrane filters and dried overnight. Subsequently, the filters were placed in a gold injector (Model: MSP-1S, company: Vacuum Device Inc) and coated with a thin layer of gold. Finally, the filters were subjected to scanning electron microscopy for photography.</p>
<p>Prior to protein, carbohydrate, and total lipid analysis, a pre-treatment process was applied to the algal sample. In brief, approximately 3 L of <italic>P. tricornutum</italic> cultures were passed through 0.4 &#x3bc;m pore size polycarbonate filters and washed thrice with distilled water. The filtered <italic>P. tricornutum</italic> cells were then dried at -70 &#xb0;C under vacuum for 24 hours. Cell disruption was achieved through repeated freeze-thaw cycles. The cells were frozen below -20&#xb0;C and subsequently thawed at approximately 4&#xb0;C, repeating this process 3-4 times. This method utilized the formation of intracellular ice particles and the increased concentration of cytosolic salts to induce cell lysis and fragmentation.</p>
<p>Total lipids were extracted and quantified following the protocol described by Johnson and Wen (<xref ref-type="bibr" rid="B28">Johnson and Wen, 2009</xref>). Carbohydrate content was determined using the anthrone colorimetric technique as outlined in Laurentin and Edwards (<xref ref-type="bibr" rid="B29">Laurentin and Edwards, 2003</xref>). Protein quantitation was performed using the Lowry method (<xref ref-type="bibr" rid="B55">Waterborg, 2009</xref>).</p>
</sec>
<sec id="s2_8">
<title>Absolute quantitative lipidomics measurement</title>
<p>Triplicate samples were obtained from the cultures during the phosphate depletion and spike experiment. <italic>P. tricornutum</italic> cultures (~50 mL) were filtered through 25&#xa0;mm diameter 0.2 &#x3bc;m hydrophilic Durapore filters, rinsed thrice with distilled water, and immediately flash-frozen and stored at -80 &#xb0;C. Lipids were extracted from the filters using the methyl tert-butyl ether (MTBE) method (<xref ref-type="bibr" rid="B40">Matyash et&#xa0;al., 2008</xref>). Briefly, the filters were thawed at 4&#xb0;C and mixed with 200 &#x3bc;L water, 240 &#x3bc;L methanol, and 800 &#x3bc;L MTBE. The mixture was sonicated at low temperature (30 min/once, twice). After centrifugation at 14000&#xa0;g for 15&#xa0;min at 10&#xb0;C, the upper layer was collected and dried under nitrogen.</p>
<p>To analyze the lipids, ultra-high performance liquid chromatography (UHPLC) mass spectrometry (MS) was performed using an UHPLC Nexera LC-30A (SHIMADZU, Japan) coupled to a Q-Exactive Plus high-resolution mass spectrometer (ThermoFisher Scientific, Waltham, MA, USA), following a previously reported method (<xref ref-type="bibr" rid="B36">Liu et&#xa0;al., 2022</xref>). Reverse-phase chromatography was employed for LC separation with a CSH C18 column (1.7 &#x3bc;m, 2.1 &#xd7; 100&#xa0;mm; Waters). The lipid extracts were re-dissolved in 200 &#x3bc;L of 90% isopropanol/acetonitrile, centrifuged at 14000&#xa0;g for 15&#xa0;min, and finally, 3 &#x3bc;L of the sample was injected.</p>
<p>The mobile phase consisted of acetonitrile&#x2013;water (6:4, vol/vol) with 0.1% formic acid and 0.1 mM ammonium formate as solvent A, and acetonitrile&#x2013;isopropanol (1:9, vol/vol) with 0.1% formic acid and 0.1 mM ammonium formate as solvent B. The initial mobile phase composition was 30% solvent B at a flow rate of 300 &#x3bc;L/min. It was maintained for 2&#xa0;min, followed by a linear increase to 100% solvent B over 23&#xa0;min, and then equilibrated at 5% solvent B for 10&#xa0;min. Mass spectra were acquired using the Q-Exactive Plus in both positive and negative modes. The Electron Spray Ionization (ESI) parameters were optimized and preset for all measurements: source temperature at 300&#xb0;C, the capillary temperature at 350&#xb0;C, ion spray voltage at 3000&#xa0;V, S-Lens RF Level at 50%, and the scan range set at 200&#x2013;1800 m/z. For each full scan, 10 fragments (MS2scan, HCD) were collected. The resolution of MS1 was set at 70000 at m/z 200, and that of MS2 was set at 17500 at m/z 200.</p>
<p>To extract and identify the peaks of lipid molecules and internal standard lipid molecules, Lipidsearch (ThermoFisher Scientific, USA) was utilized. The main parameters were as follows: precursor tolerance: 5 ppm, product tolerance: 5 ppm, and product ion threshold: 5%. The raw data and the lipid category naming explanation for the absolute quantification lipidomics in the phosphate depletion and spike experiment are provided in <xref ref-type="supplementary-material" rid="SM2">
<bold>Table S1</bold>
</xref> and  <xref ref-type="supplementary-material" rid="SM1">
<bold>Data Sheet 1</bold>
</xref> in the Supplementary Material, respectively.</p>
</sec>
<sec id="s2_9">
<title>Data analysis</title>
<p>A Pearson correlation and one-way ANOVA were conducted using IBM SPSS Statistics 22.0 to examine the correlation between sinking rate and detecting parameters (F<sub>v</sub>/F<sub>m</sub>, growth rate, protein, lipids, carbohydrate, and TEPs) in the nutrient depletion and spike experiments, as well as to determine the differences in each parameter under different nutrient regimes. Significance was determined by ANOVA probabilities&lt; 0.05. The normal distribution of the data was checked first, and log10 transformation was applied if necessary. For data that could not be transformed into a normal distribution, the Spearman correlation and the nonparametric Kruskal-Wallis ANOVA were employed. Data visualization was performed using the R programming language.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>
<italic>P. tricornutum</italic> was acclimatized to the initial nutrients for 2 days before the nutrient-limitation experiments. The initial cell abundances were 2.34&#xd7;10<sup>5</sup> and 1.05&#xd7;10<sup>5</sup> cell ml<sup>-1</sup> for phosphate and nitrate limitation, respectively. <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref> presents the cell abundance and growth rate data for these two experiments, while <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref> displays the limiting-nutrient concentrations and sinking rate data. The optimal photochemical efficiency of photosystem II (F<sub>v</sub>/F<sub>m</sub>), cellular contents (protein, carbohydrate, and lipid), and TEPs data are shown in <xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5</bold>
</xref>&#x2013;<xref ref-type="fig" rid="f7">
<bold>7</bold>
</xref>, respectively. The sinking rate, as well as the cell physiological and biochemical responses to nutrient depletion and spike, will be addressed separately below.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Cell abundance and growth rate data for phosphate depletion-spike experiment <bold>(A)</bold> and nitrate depletion-spike experiment <bold>(B)</bold>. PR, PL, PD, and PS represent phosphate repletion, phosphate limitation, phosphate depletion, and phosphate spike, respectively. NR, NL, ND, and NS represent nitrate repletion, nitrate limitation, nitrate depletion, and nitrate spike, respectively. These abbreviations apply to all figures.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1255915-g003.tif"/>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Limiting-nutrient concentrations and sinking rate data for phosphate depletion-spike experiment <bold>(A)</bold> and nitrate depletion-spike experiment <bold>(B)</bold>. The total nitrogen concentration is the sum of nitrite and nitrate concentrations.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1255915-g004.tif"/>
</fig>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>The changes in optimal photochemical efficiency of photosystem II (F<sub>v</sub>/F<sub>m</sub>) throughout the phosphate depletion-spike experiment (black square) and nitrate depletion-spike experiment (red circle).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1255915-g005.tif"/>
</fig>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>The intracellular contents (protein, carbohydrate, and lipid) data for phosphate depletion and spike experiment <bold>(A)</bold> and nitrate depletion and spike experiment <bold>(B)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1255915-g006.tif"/>
</fig>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>The TEPs concentrations in the phosphate depletion-spike experiment (orange pillar) and nitrate depletion-spike experiment (green pillar).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1255915-g007.tif"/>
</fig>
<sec id="s3_1">
<title>Phosphate depletion and spike experiment</title>
<p>During the initial 72 hours of the experiment, <italic>P. tricornutum</italic> exhibited log-phase growth as a result of phosphate repletion (PR). The growth rate (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>) and F<sub>v</sub>/F<sub>m</sub> (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>) initially increased but subsequently decreased. The mean values for the growth rate and F<sub>v</sub>/F<sub>m</sub> were 0.75 &#xb1; 0.34 d<sup>-1</sup> and 0.52 &#xb1; 0.04, respectively. <italic>P. tricornutum</italic> rarely settled during the PR phase, with a mean sinking rate of -0.06 &#xb1; 0.13&#xa0;m d<sup>-1</sup> (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). While the intracellular total lipid content remained stable, the protein and carbohydrate contents fluctuated (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). The mean total lipid content was 0.16 &#xb1; 0.01 mg mg<sup>-1</sup>. Throughout the PR phase, the concentration of TEPs consistently increased (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>).</p>
<p>After 72 hours of PR, the extracellular phosphate was depleted (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>), resulting in a significant decline in the growth rate and F<sub>v</sub>/F<sub>m</sub> to values of -0.08 &#xb1; 0.06 d<sup>-1</sup> and 0.37 &#xb1; 0.01, respectively. This indicated that <italic>P. tricornutum</italic> faced constraints due to limited phosphate availability and reduced photosynthetic efficiency. Additionally, the sinking speed significantly increased from -0.21 &#xb1; 0.08 to 0.58 &#xb1; 0.10&#xa0;m d<sup>-1</sup> (P&lt; 0.05). Under phosphate limitation (PL) conditions, there was minimal variation observed in carbohydrate and TEPs, while the protein concentration slightly decreased. Notably, the total lipid content significantly (P&lt; 0.05) increased from 0.15 &#xb1; 0.01 to 0.25 &#xb1; 0.01 mg mg<sup>-1</sup>.</p>
<p>In the phosphate depletion phase (PD), following 72 hours of PL, the growth rate exhibited fluctuating increases, rising from -0.08 &#xb1; 0.06 to -0.03 &#xb1; 0.01 d<sup>-1</sup> (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). This fluctuation in growth rate could potentially be attributed to the re-release of restricted nutrients through cell fragmentation. Moreover, the sinking rate, total lipid content, and TEPs consistently increased, while the concentrations of protein and carbohydrate decreased.</p>
<p>Subsequent to the PD phase, a phosphate spike (PS) experiment was conducted. After the first 2 hours following the phosphate spike (R2h), both the growth rate and F<sub>v</sub>/F<sub>m</sub> significantly increased (P&lt; 0.05). The growth rate rose from -0.03 &#xb1; 0.01 to 0.48 &#xb1; 0.08 d<sup>-1</sup>, while the F<sub>v</sub>/F<sub>m</sub> increased from 0.34 &#xb1; 0.01 to 0.47 &#xb1; 0.01. However, after 6 hours following the PS (R6h), both the growth rate and F<sub>v</sub>/F<sub>m</sub> began to continuously decline. Furthermore, after 18 hours of phosphate recovery treatment (R18h), the growth rate decreased to -0.06 &#xb1; 0.04 d<sup>-1</sup>, indicating a re-imposition of phosphate limitation on <italic>P. tricornutum</italic>. The sinking rate and total lipid content initially decreased, then increased during the PS phase. In contrast, the concentration of TEPs showed an initial increase followed by a subsequent decrease. After 12 hours of phosphate recovery (R12h), the sinking rate and total lipid content reached their lowest values of 0.01 &#xb1; 0.05&#xa0;m d<sup>-1</sup> and 0.16 &#xb1; 0.02 mg mg<sup>-1</sup>, respectively. However, with the re-imposition of phosphate limitation, the sinking rate and total lipid content increased again. The concentrations of protein and carbohydrates exhibited fluctuating changes during the phosphate recovery period.</p>
</sec>
<sec id="s3_2">
<title>Nitrate depletion and spike experiment</title>
<p>Compared to the phosphate depletion experiment, the nitrate depletion experiment showed similar trends in cell abundance, growth rate, F<sub>v</sub>/F<sub>m</sub>, and TEPs variations. During the initial stage of the experiment (nitrate repletion, NR) from 0 to 72 hours, there was a rapid increase in cell abundance and TEPs, while the growth rate, settling rate, and F<sub>v</sub>/F<sub>m</sub> remained high. After 72 hours of nitrate sufficiency, the growth rate of <italic>P. tricornutum</italic> significantly decreased (P&lt; 0.05) from 0.70 &#xb1; 0.07 to 0.12 &#xb1; 0.02 d<sup>-1</sup> (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). Simultaneously, the F<sub>v</sub>/F<sub>m</sub> value declined from 0.46 &#xb1; 0.01 to 0.36 &#xb1; 0.02 (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>), indicating nitrate limitation (NL) in <italic>P. tricornutum</italic>. The sinking rate decreased to 0.16 &#xb1; 0.10&#xa0;m d<sup>-1</sup>, one-third of the rate under nitrate-replete conditions (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>). Under NL conditions, protein concentration (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>) and TEPs (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>) remained almost unchanged, while total lipid concentration slightly decreased. However, carbohydrate content significantly (P&lt; 0.05) increased from 2.00 &#xb1; 0.14 to 7.04 &#xb1; 0.46 mg mg<sup>-1</sup>.</p>
<p>After 72 hours of NL, the total nitrogen concentration and growth rate approached zero, marking the beginning of nitrogen depletion (ND). The sinking rate and intracellular content concentrations were within the range of measured values during NL. The TEPs concentration increased from 21.31 &#xb1; 0.05 &#xd7; 10<sup>3</sup> to 26.01 &#xb1; 10.99 &#xd7; 10<sup>3</sup> &#x3bc;g Xeq. L<sup>-1</sup>.</p>
<p>In the first 6 hours after the nitrate spike (NS), from 216 to 222 hours, the growth rate and F<sub>v</sub>/F<sub>m</sub> had regained values typical of the nitrate-replete state. The sinking rate of <italic>P. tricornutum</italic> exhibited a slight fluctuating increase, and the TEPs concentration slightly increased during this time. Between 6 and 24 hours after the NS, <italic>P. tricornutum</italic> continued to show log-phase growth while maintaining relatively high values of F<sub>v</sub>/F<sub>m</sub>. However, the sinking rate decreased from 0.24 &#xb1; 0.05 to -0.05 &#xb1; 0.06&#xa0;m d<sup>-1</sup>. The intracellular contents and TEPs concentrations showed fluctuating changes during the NS period.</p>
</sec>
<sec id="s3_3">
<title>Relationship between sinking rate and physiological-biochemical parameters in the nutrient depletion and spike experiments</title>
<p>
<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8A</bold>
</xref> shows the correlations between sinking rate and physiological-biochemical parameters in phosphate depletion and spike experiments. The correlation plots reveal a significant positive relationship (P&lt; 0.001) between sinking rate and lipid content (R = 0.91). Conversely, lipid content demonstrates a significant negative correlation (P&lt; 0.05) with F<sub>v</sub>/F<sub>m</sub> (R = -0.77). Additionally, TEPs concentration exhibits a significant (P&lt; 0.01) negative linear relationship (R = -0.89) with protein content.</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Correlation plots of sinking rate with physiological-biochemical parameters in phosphate depletion-spike experiment <bold>(A)</bold>, and nitrate depletion-spike experiment <bold>(B)</bold>. *: P&lt; 0.05; **: P&lt; 0.01; ***: P&lt; 0.001. .</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1255915-g008.tif"/>
</fig>
<p>In <xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8B</bold>
</xref>, the correlations among parameters in nitrate depletion and spike experiments are presented. The results demonstrate significant positive associations (P&lt; 0.01) between F<sub>v</sub>/F<sub>m</sub> and growth rate (R = 0.85). Furthermore, TEPs show significant negative correlations (P&lt; 0.05) with protein content (R&#xa0;= -0.60) and sinking rate (R = -0.71). The carbohydrate concentration exhibits significant negative correspondences (P&lt;&#xa0;0.05) with F<sub>v</sub>/F<sub>m</sub> (R = -0.81).</p>
</sec>
<sec id="s3_4">
<title>Cell aggregation in the phosphate depletion and spike experiments</title>
<p>
<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9</bold>
</xref> illustrates the overall cell population morphology in the four phosphate phases. In instances where phosphate was restricted and depleted, there was an enhancement in cell aggregation, resulting in a significant increase in the number of aggregates. However, within 24 hours after the phosphate spike, the number of cell aggregates decreased.</p>
<fig id="f9" position="float">
<label>Figure&#xa0;9</label>
<caption>
<p>The overall cell population morphology of <italic>P. tricornutum</italic> in the four time points: <bold>(A)</bold> phosphate repletion; <bold>(B)</bold> phosphate limitation; <bold>(C)</bold> phosphate depletion; <bold>(D)</bold> 24h after phosphate spike.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1255915-g009.tif"/>
</fig>
</sec>
<sec id="s3_5">
<title>Lipid remodeling in the phosphate depletion and spike experiments</title>
<p>In the experiments involving phosphate depletion and spike, a significant correlation was observed between the settling rate and total lipid content. To further understand the buoyancy regulation mechanism of <italic>P. tricornutum</italic>, lipidomics analysis was conducted on the seven phases (PR, PL, PD, R2h, R6h, R12h, and R24h) of the phosphate depletion and spike experiment, and the findings are presented in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The lipid composition of <italic>P. tricornutum</italic> mainly consists of glycerophospholipids, glycerolipids, serol lipids, sphingolipids, saccharolipids, prenol lipids, and fatty acyls. Among these, glycerophospholipids, glycerolipids, sphingolipids, and saccharolipids exhibited higher abundances. During the transition from PR to PL and PD, the content of glycerolipids and saccharolipids gradually increased, particularly in subclasses such as triglyceride (TG), digalactosyldiacylglycerol (DGDG), monogalactosyldiacylglycerol (MGDG), and sulfoquinovosyldiacylglycerol (SQDG). However, during the phosphate spike (PS) phase, the content of these lipids gradually decreased until 24 hours after PS, when their content began to rise again. Furthermore, subclasses such as phosphatidylinositol (PI) in glycerophospholipids and hexosylceramide (Hex1Cer) in sphingolipids exhibited similar trends of variation as these lipids.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>The lipid composition and content (mg g<sup>-1</sup>) in the seven phases of the phosphate depletion and spike experiment: A) phosphate repletion (PR); B) phosphate limitation (PL); C) phosphate depletion (PD); D) 2h after phosphate spike (R2h); E) 6h after phosphate spike (R6h); F) 12h after phosphate spike (R12h); G) 24h after phosphate spike (R24h).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Lipid Group</th>
<th valign="top" align="center">Class</th>
<th valign="top" align="center">PR</th>
<th valign="top" align="center">PL</th>
<th valign="top" align="center">PD</th>
<th valign="top" align="center">R2h</th>
<th valign="top" align="center">R6h</th>
<th valign="top" align="center">R12h</th>
<th valign="top" align="center">R24h</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="13" align="center">Glycerophospholipids</td>
<td valign="middle" align="center">CL</td>
<td valign="middle" align="center">11.1 &#xb1; 0.9</td>
<td valign="middle" align="center">5.4 &#xb1; 1.4</td>
<td valign="middle" align="center">12.0 &#xb1; 1.1</td>
<td valign="middle" align="center">7.8 &#xb1; 2.0</td>
<td valign="middle" align="center">11.2 &#xb1; 1.4</td>
<td valign="middle" align="center">6.0 &#xb1; 1.6</td>
<td valign="middle" align="center">6.6 &#xb1; 0.9</td>
</tr>
<tr>
<td valign="middle" align="center">LPC</td>
<td valign="middle" align="center">3.3 &#xb1; 0.7</td>
<td valign="middle" align="center">6.9 &#xb1; 1.5</td>
<td valign="middle" align="center">1.7 &#xb1; 0.4</td>
<td valign="middle" align="center">1.9 &#xb1; 0.4</td>
<td valign="middle" align="center">5.2 &#xb1; 1.1</td>
<td valign="middle" align="center">2.6 &#xb1; 0.6</td>
<td valign="middle" align="center">2.3 &#xb1; 0.5</td>
</tr>
<tr>
<td valign="middle" align="center">LPE</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.0 &#xb1; 0.0</td>
<td valign="middle" align="center">0.0 &#xb1; 0.0</td>
<td valign="middle" align="center">0.0 &#xb1; 0.0</td>
<td valign="middle" align="center">0.0 &#xb1; 0.0</td>
<td valign="middle" align="center">0.0 &#xb1; 0.0</td>
</tr>
<tr>
<td valign="middle" align="center">LPG</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.0 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.0 &#xb1; 0.0</td>
</tr>
<tr>
<td valign="middle" align="center">PA</td>
<td valign="middle" align="center">1.4 &#xb1; 0.3</td>
<td valign="middle" align="center">1.1 &#xb1; 0.2</td>
<td valign="middle" align="center">1.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.8 &#xb1; 0.2</td>
<td valign="middle" align="center">0.8 &#xb1; 0.2</td>
<td valign="middle" align="center">0.4 &#xb1; 0.1</td>
<td valign="middle" align="center">0.7 &#xb1; 0.2</td>
</tr>
<tr>
<td valign="middle" align="center">PC</td>
<td valign="middle" align="center">2.6 &#xb1; 0.6</td>
<td valign="middle" align="center">2.6 &#xb1; 0.5</td>
<td valign="middle" align="center">3.2 &#xb1; 0.7</td>
<td valign="middle" align="center">2.7 &#xb1; 0.6</td>
<td valign="middle" align="center">3.6 &#xb1; 0.8</td>
<td valign="middle" align="center">1.6 &#xb1; 0.3</td>
<td valign="middle" align="center">1.8 &#xb1; 0.4</td>
</tr>
<tr>
<td valign="middle" align="center">PE</td>
<td valign="middle" align="center">2.0 &#xb1; 0.4</td>
<td valign="middle" align="center">1.3 &#xb1; 0.3</td>
<td valign="middle" align="center">1.2 &#xb1; 0.3</td>
<td valign="middle" align="center">1.0 &#xb1; 0.2</td>
<td valign="middle" align="center">1.2 &#xb1; 0.3</td>
<td valign="middle" align="center">0.7 &#xb1; 0.1</td>
<td valign="middle" align="center">0.8 &#xb1; 0.2</td>
</tr>
<tr>
<td valign="middle" align="center">PG</td>
<td valign="middle" align="center">16.2 &#xb1; 0.7</td>
<td valign="middle" align="center">8.3 &#xb1; 0.8</td>
<td valign="middle" align="center">8.3 &#xb1; 1.3</td>
<td valign="middle" align="center">20.4 &#xb1; 2.4</td>
<td valign="middle" align="center">16.5 &#xb1; 1.0</td>
<td valign="middle" align="center">11.3 &#xb1; 1.5</td>
<td valign="middle" align="center">7.8 &#xb1; 1.2</td>
</tr>
<tr>
<td valign="middle" align="center">PI</td>
<td valign="middle" align="center">19.4 &#xb1; 2.1</td>
<td valign="middle" align="center">29.7 &#xb1; 2.8</td>
<td valign="middle" align="center">35.2 &#xb1; 0.5</td>
<td valign="middle" align="center">23.8 &#xb1; 2.0</td>
<td valign="middle" align="center">17.4 &#xb1; 1.8</td>
<td valign="middle" align="center">13.9 &#xb1; 1.6</td>
<td valign="middle" align="center">18.4 &#xb1; 1.9</td>
</tr>
<tr>
<td valign="middle" align="center">PIP</td>
<td valign="middle" align="center">0.2 &#xb1; 0.0</td>
<td valign="middle" align="center">1.1 &#xb1; 0.2</td>
<td valign="middle" align="center">0.8 &#xb1; 0.2</td>
<td valign="middle" align="center">0.6 &#xb1; 0.1</td>
<td valign="middle" align="center">0.5 &#xb1; 0.1</td>
<td valign="middle" align="center">0.3 &#xb1; 0.1</td>
<td valign="middle" align="center">0.3 &#xb1; 0.1</td>
</tr>
<tr>
<td valign="middle" align="center">PIP2</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.0 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.0 &#xb1; 0.0</td>
<td valign="middle" align="center">0.0 &#xb1; 0.0</td>
<td valign="middle" align="center">0.0 &#xb1; 0.0</td>
</tr>
<tr>
<td valign="middle" align="center">PS</td>
<td valign="middle" align="center">0.5 &#xb1; 0.1</td>
<td valign="middle" align="center">1.3 &#xb1; 0.3</td>
<td valign="middle" align="center">0.9 &#xb1; 0.2</td>
<td valign="middle" align="center">0.6 &#xb1; 0.1</td>
<td valign="middle" align="center">0.6 &#xb1; 0.1</td>
<td valign="middle" align="center">0.3 &#xb1; 0.1</td>
<td valign="middle" align="center">0.4 &#xb1; 0.1</td>
</tr>
<tr>
<td valign="middle" align="center">Total</td>
<td valign="middle" align="center">56.9 &#xb1; 5.6</td>
<td valign="middle" align="center">57.8 &#xb1; 7.9</td>
<td valign="middle" align="center">64.6 &#xb1; 4.3</td>
<td valign="middle" align="center">59.7 &#xb1; 4.7</td>
<td valign="middle" align="center">57.0 &#xb1; 6.7</td>
<td valign="middle" align="center">37.1 &#xb1; 5.8</td>
<td valign="middle" align="center">39.4 &#xb1; 5.4</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="center">Glycerolipids</td>
<td valign="middle" align="center">DG</td>
<td valign="middle" align="center">5.3 &#xb1; 1.1</td>
<td valign="middle" align="center">2.7 &#xb1; 0.7</td>
<td valign="middle" align="center">4.1 &#xb1; 0.9</td>
<td valign="middle" align="center">2.5 &#xb1; 0.6</td>
<td valign="middle" align="center">2.9 &#xb1; 0.6</td>
<td valign="middle" align="center">1.6 &#xb1; 0.4</td>
<td valign="middle" align="center">2.7 &#xb1; 0.6</td>
</tr>
<tr>
<td valign="middle" align="center">MG</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
</tr>
<tr>
<td valign="middle" align="center">TG</td>
<td valign="middle" align="center">30.5 &#xb1; 1.7</td>
<td valign="middle" align="center">107.8 &#xb1; 3.2</td>
<td valign="middle" align="center">160.1 &#xb1; 7.4</td>
<td valign="middle" align="center">104.4 &#xb1; 7.3</td>
<td valign="middle" align="center">80.2 &#xb1; 6.7</td>
<td valign="middle" align="center">69.3 &#xb1; 10.2</td>
<td valign="middle" align="center">102.9 &#xb1; 14.9</td>
</tr>
<tr>
<td valign="middle" align="center">Total</td>
<td valign="middle" align="center">35.9 &#xb1; 2.7</td>
<td valign="middle" align="center">110.6 &#xb1; 3.8</td>
<td valign="middle" align="center">164.3 &#xb1; 7.8</td>
<td valign="middle" align="center">107.0 &#xb1; 7.8</td>
<td valign="middle" align="center">83.2 &#xb1; 7.2</td>
<td valign="middle" align="center">71.0 &#xb1; 10.7</td>
<td valign="middle" align="center">105.7 &#xb1; 15.3</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="center">Serol lipids</td>
<td valign="middle" align="center">ChE</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
</tr>
<tr>
<td valign="middle" align="center">StE</td>
<td valign="middle" align="center">0.2 &#xb1; 0.0</td>
<td valign="middle" align="center">0.5 &#xb1; 0.1</td>
<td valign="middle" align="center">0.5 &#xb1; 0.1</td>
<td valign="middle" align="center">0.5 &#xb1; 0.1</td>
<td valign="middle" align="center">0.3 &#xb1; 0.1</td>
<td valign="middle" align="center">0.3 &#xb1; 0.1</td>
<td valign="middle" align="center">0.3 &#xb1; 0.1</td>
</tr>
<tr>
<td valign="middle" align="center">Total</td>
<td valign="middle" align="center">0.2 &#xb1; 0.1</td>
<td valign="middle" align="center">0.5 &#xb1; 0.1</td>
<td valign="middle" align="center">0.6 &#xb1; 0.2</td>
<td valign="middle" align="center">0.5 &#xb1; 0.1</td>
<td valign="middle" align="center">0.4 &#xb1; 0.1</td>
<td valign="middle" align="center">0.3 &#xb1; 0.1</td>
<td valign="middle" align="center">0.4 &#xb1; 0.1</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="center">Sphingolipids</td>
<td valign="middle" align="center">Cer</td>
<td valign="middle" align="center">1.0 &#xb1; 0.2</td>
<td valign="middle" align="center">0.5 &#xb1; 0.1</td>
<td valign="middle" align="center">1.0 &#xb1; 0.2</td>
<td valign="middle" align="center">0.5 &#xb1; 0.1</td>
<td valign="middle" align="center">0.9 &#xb1; 0.2</td>
<td valign="middle" align="center">0.3 &#xb1; 0.1</td>
<td valign="middle" align="center">0.6 &#xb1; 0.1</td>
</tr>
<tr>
<td valign="middle" align="center">CerG2GNAc1</td>
<td valign="middle" align="center">0.4 &#xb1; 0.1</td>
<td valign="middle" align="center">0.3 &#xb1; 0.1</td>
<td valign="middle" align="center">0.5 &#xb1; 0.1</td>
<td valign="middle" align="center">0.2 &#xb1; 0.1</td>
<td valign="middle" align="center">0.3 &#xb1; 0.1</td>
<td valign="middle" align="center">0.2 &#xb1; 0.0</td>
<td valign="middle" align="center">0.3 &#xb1; 0.1</td>
</tr>
<tr>
<td valign="middle" align="center">CerP</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.2 &#xb1; 0.0</td>
<td valign="middle" align="center">0.0 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
</tr>
<tr>
<td valign="middle" rowspan="9" align="center">Sphingolipids</td>
<td valign="middle" align="center">GM3</td>
<td valign="middle" align="center">0.2 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
</tr>
<tr>
<td valign="middle" align="center">Hex1Cer</td>
<td valign="middle" align="center">11.3 &#xb1; 1.1</td>
<td valign="middle" align="center">21.4 &#xb1; 1.1</td>
<td valign="middle" align="center">24.6 &#xb1; 1.0</td>
<td valign="middle" align="center">19.4 &#xb1; 1.3</td>
<td valign="middle" align="center">15.5 &#xb1; 0.8</td>
<td valign="middle" align="center">11.4 &#xb1; 2.0</td>
<td valign="middle" align="center">17.4 &#xb1; 1.7</td>
</tr>
<tr>
<td valign="middle" align="center">Hex2Cer</td>
<td valign="middle" align="center">0.7 &#xb1; 0.2</td>
<td valign="middle" align="center">0.5 &#xb1; 0.1</td>
<td valign="middle" align="center">0.6 &#xb1; 0.1</td>
<td valign="middle" align="center">0.4 &#xb1; 0.1</td>
<td valign="middle" align="center">0.8 &#xb1; 0.2</td>
<td valign="middle" align="center">0.3 &#xb1; 0.1</td>
<td valign="middle" align="center">0.5 &#xb1; 0.1</td>
</tr>
<tr>
<td valign="middle" align="center">Hex3Cer</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.0 &#xb1; 0.0</td>
<td valign="middle" align="center">0.0 &#xb1; 0.0</td>
<td valign="middle" align="center">0.0 &#xb1; 0.0</td>
<td valign="middle" align="center">0.0 &#xb1; 0.0</td>
</tr>
<tr>
<td valign="middle" align="center">phSM</td>
<td valign="middle" align="center">0.0 &#xb1; 0.0</td>
<td valign="middle" align="center">0.3 &#xb1; 0.1</td>
<td valign="middle" align="center">0.4 &#xb1; 0.1</td>
<td valign="middle" align="center">0.3 &#xb1; 0.1</td>
<td valign="middle" align="center">0.3 &#xb1; 0.1</td>
<td valign="middle" align="center">0.2 &#xb1; 0.0</td>
<td valign="middle" align="center">0.2 &#xb1; 0.1</td>
</tr>
<tr>
<td valign="middle" align="center">SM</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
</tr>
<tr>
<td valign="middle" align="center">SPH</td>
<td valign="middle" align="center">16.3 &#xb1; 1.0</td>
<td valign="middle" align="center">3.0 &#xb1; 0.6</td>
<td valign="middle" align="center">2.4 &#xb1; 0.6</td>
<td valign="middle" align="center">6.7 &#xb1; 0.5</td>
<td valign="middle" align="center">7.6 &#xb1; 2.1</td>
<td valign="middle" align="center">1.5 &#xb1; 0.3</td>
<td valign="middle" align="center">4.2 &#xb1; 0.4</td>
</tr>
<tr>
<td valign="middle" align="center">ST</td>
<td valign="middle" align="center">1.6 &#xb1; 0.4</td>
<td valign="middle" align="center">0.3 &#xb1; 0.1</td>
<td valign="middle" align="center">0.2 &#xb1; 0.1</td>
<td valign="middle" align="center">0.2 &#xb1; 0.0</td>
<td valign="middle" align="center">0.2 &#xb1; 0.1</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
</tr>
<tr>
<td valign="middle" align="center">Total</td>
<td valign="middle" align="center">30.6 &#xb1; 2.8</td>
<td valign="middle" align="center">26.1 &#xb1; 2.0</td>
<td valign="middle" align="center">29.0 &#xb1; 1.5</td>
<td valign="middle" align="center">27.4 &#xb1; 2.1</td>
<td valign="middle" align="center">25.1 &#xb1; 3.1</td>
<td valign="middle" align="center">14.0 &#xb1; 2.5</td>
<td valign="middle" align="center">23.0 &#xb1; 2.4</td>
</tr>
<tr>
<td valign="middle" rowspan="7" align="center">Saccharolipids</td>
<td valign="middle" align="center">DGDG</td>
<td valign="middle" align="center">10.6 &#xb1; 0.8</td>
<td valign="middle" align="center">16.3 &#xb1; 2.7</td>
<td valign="middle" align="center">23.1 &#xb1; 4.3</td>
<td valign="middle" align="center">17.0 &#xb1; 1.9</td>
<td valign="middle" align="center">12.6 &#xb1; 1.2</td>
<td valign="middle" align="center">9.6 &#xb1; 2.4</td>
<td valign="middle" align="center">14.0 &#xb1; 1.1</td>
</tr>
<tr>
<td valign="middle" align="center">DGMG</td>
<td valign="middle" align="center">0.4 &#xb1; 0.1</td>
<td valign="middle" align="center">0.6 &#xb1; 0.1</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.3 &#xb1; 0.1</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
</tr>
<tr>
<td valign="middle" align="center">MGDG</td>
<td valign="middle" align="center">14.5 &#xb1; 1.6</td>
<td valign="middle" align="center">19.1 &#xb1; 1.0</td>
<td valign="middle" align="center">28.1 &#xb1; 2.0</td>
<td valign="middle" align="center">20.5 &#xb1; 0.7</td>
<td valign="middle" align="center">16.2 &#xb1; 1.0</td>
<td valign="middle" align="center">14.6 &#xb1; 0.6</td>
<td valign="middle" align="center">18.7 &#xb1; 1.5</td>
</tr>
<tr>
<td valign="middle" align="center">MGMG</td>
<td valign="middle" align="center">1.0 &#xb1; 0.2</td>
<td valign="middle" align="center">0.9 &#xb1; 0.2</td>
<td valign="middle" align="center">0.3&#xb1; 0.1</td>
<td valign="middle" align="center">0.2 &#xb1; 0.0</td>
<td valign="middle" align="center">0.4 &#xb1; 0.1</td>
<td valign="middle" align="center">0.3 &#xb1; 0.1</td>
<td valign="middle" align="center">0.3 &#xb1; 0.1</td>
</tr>
<tr>
<td valign="middle" align="center">SQDG</td>
<td valign="middle" align="center">17.1 &#xb1; 0.7</td>
<td valign="middle" align="center">20.2 &#xb1; 1.0</td>
<td valign="middle" align="center">23.3 &#xb1; 4.8</td>
<td valign="middle" align="center">15.3 &#xb1; 0.8</td>
<td valign="middle" align="center">13.8 &#xb1; 1.0</td>
<td valign="middle" align="center">11.3 &#xb1; 1.4</td>
<td valign="middle" align="center">14.7 &#xb1; 0.6</td>
</tr>
<tr>
<td valign="middle" align="center">SQMG</td>
<td valign="middle" align="center">0.5 &#xb1; 0.1</td>
<td valign="middle" align="center">0.9 &#xb1; 0.2</td>
<td valign="middle" align="center">0.5 &#xb1; 0.1</td>
<td valign="middle" align="center">0.7 &#xb1; 0.1</td>
<td valign="middle" align="center">1.1 &#xb1; 0.3</td>
<td valign="middle" align="center">0.8 &#xb1; 0.2</td>
<td valign="middle" align="center">0.6 &#xb1; 0.2</td>
</tr>
<tr>
<td valign="middle" align="center">Total</td>
<td valign="middle" align="center">44.0 &#xb1; 2.9</td>
<td valign="middle" align="center">57.9 &#xb1; 4.0</td>
<td valign="middle" align="center">75.4 &#xb1; 7.2</td>
<td valign="middle" align="center">53.8 &#xb1; 2.0</td>
<td valign="middle" align="center">44.4 &#xb1; 3.5</td>
<td valign="middle" align="center">36.8 &#xb1; 4.5</td>
<td valign="middle" align="center">48.4 &#xb1; 2.8</td>
</tr>
<tr>
<td valign="middle" align="center">Prenol lipids</td>
<td valign="middle" align="center">Co</td>
<td valign="middle" align="center">0.2 &#xb1; 0.0</td>
<td valign="middle" align="center">0.8 &#xb1; 0.2</td>
<td valign="middle" align="center">1.4 &#xb1; 0.3</td>
<td valign="middle" align="center">1.0 &#xb1; 0.2</td>
<td valign="middle" align="center">1.0 &#xb1; 0.2</td>
<td valign="middle" align="center">0.5 &#xb1; 0.1</td>
<td valign="middle" align="center">1.1 &#xb1; 0.2</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="center">Fatty Acyls</td>
<td valign="middle" align="center">FA</td>
<td valign="middle" align="center">0.2 &#xb1; 0.0</td>
<td valign="middle" align="center">1.0 &#xb1; 0.2</td>
<td valign="middle" align="center">0.9 &#xb1; 0.2</td>
<td valign="middle" align="center">0.8 &#xb1; 0.2</td>
<td valign="middle" align="center">0.7 &#xb1; 0.1</td>
<td valign="middle" align="center">0.5 &#xb1; 0.1</td>
<td valign="middle" align="center">0.7 &#xb1; 0.2</td>
</tr>
<tr>
<td valign="middle" align="center">WE</td>
<td valign="middle" align="center">0.0 &#xb1; 0.0</td>
<td valign="middle" align="center">0.0 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
<td valign="middle" align="center">0.0&#xb1; 0.0</td>
<td valign="middle" align="center">0.1 &#xb1; 0.0</td>
</tr>
<tr>
<td valign="middle" align="center">Total</td>
<td valign="middle" align="center">0.2 &#xb1; 0.0</td>
<td valign="middle" align="center">1.0 &#xb1; 0.2</td>
<td valign="middle" align="center">1.0 &#xb1; 0.2</td>
<td valign="middle" align="center">0.9 &#xb1; 0.2</td>
<td valign="middle" align="center">0.8 &#xb1; 0.2</td>
<td valign="middle" align="center">0.5 &#xb1; 0.1</td>
<td valign="middle" align="center">0.8 &#xb1; 0.2</td>
</tr>
<tr>
<td valign="middle" align="center">Total</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">169.1 &#xb1; 14.1</td>
<td valign="middle" align="center">255.4 &#xb1; 14.0</td>
<td valign="middle" align="center">337.5 &#xb1; 19.7</td>
<td valign="middle" align="center">250.8 &#xb1; 15.5</td>
<td valign="middle" align="center">212.9 &#xb1; 20.9</td>
<td valign="middle" align="center">160.7 &#xb1; 23.9</td>
<td valign="middle" align="center">219.4 &#xb1; 25.6</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>
<xref ref-type="fig" rid="f10">
<bold>Figure&#xa0;10</bold>
</xref> illustrates the correlations between the sinking rate and lipid subclasses during the phosphate depletion and spike experiments. The sinking rate demonstrated significant positive correlations with TG (R = 0.89, P&lt; 0.01), cholesterol ester (ChE, R = 0.88, P&lt; 0.01), stigmasterol ester (StE, R = 0.89, P&lt; 0.01), Hex1Cer (R = 0.93, P&lt; 0.01), phytosphingosine (phSM, R = 0.82, P&lt; 0.05), DGDG (R = 0.86, P&lt; 0.05), MGDG (R = 0.81, P&lt; 0.05), coenzyme Q (Co, R = 0.94, P&lt; 0.01), and fatty acid (FA, R = 0.91, P&lt; 0.01).</p>
<fig id="f10" position="float">
<label>Figure&#xa0;10</label>
<caption>
<p>The correlations between sinking rate and subclasses of lipids during the phosphate depletion and spike experiments. *: P&lt; 0.05; **: P&lt; 0.01; ***: P&lt; 0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-10-1255915-g010.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>It is widely acknowledged that nutrient concentration affects the sinking rate of phytoplankton. However, most studies have focused on investigating the response of large diatoms (&gt; 20 &#x3bc;m) (<xref ref-type="bibr" rid="B7">Bienfang et&#xa0;al., 1982</xref>; <xref ref-type="bibr" rid="B21">Gemmell et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B19">Du Clos et&#xa0;al., 2019</xref>) to variations in nutrient concentration, neglecting the impact on nanophytoplankton (2-20 &#x3bc;m) sinking behavior, which plays a crucial role in nearshore carbon export (<xref ref-type="bibr" rid="B22">Gould and Wiesenburg, 1990</xref>; <xref ref-type="bibr" rid="B11">Boyd and Newton, 1995</xref>; <xref ref-type="bibr" rid="B12">Buck et&#xa0;al., 2008</xref>). Consequently, the buoyancy regulation mechanisms of nanophytoplankton remain poorly understood.</p>
<p>Our experiments on <italic>P. tricornutum</italic> revealed that a higher phytoplankton sinking rate was consistently associated with phosphate limitation or depletion. During the first 6 hours of phosphate spike, the sinking rate remained consistently high. However, after 12 hours of phosphate spike treatment, the sinking rate decreased to that observed during the phosphate repletion phase. Similar experimental results were also found in <italic>Coscinodiscus wailesii</italic> (<xref ref-type="bibr" rid="B18">Du Clos et&#xa0;al., 2021</xref>). When the ambient nutrient concentration increases suddenly, <italic>P. tricornutum</italic> may maintain a high sinking rate, thereby increasing nutrient flux. Once the internal nutrient reserves of <italic>P. tricornutum</italic> have replenished, it may decelerate its sinking rate, maximizing exposure to light and avoiding additional energy expenditure associated with sinking.</p>
<p>Under phosphate-limited conditions, <italic>P. tricornutum</italic> may control its sinking rate by regulating intracellular lipid content and composition. The sinking rate and lipid content exhibited a simultaneous increase and decrease, respectively, during the phosphate depletion and spike experiment. There was a significant (P&lt; 0.001) positive correlation (R = 0.91) between the sinking rate of <italic>P. tricornutum</italic> and lipid content, consistent with the findings of <xref ref-type="bibr" rid="B1">Alipanah et&#xa0;al. (2018)</xref>.</p>
<p>The limitation and depletion of phosphate not only increased the content of lipids but also altered their composition. Glycerophospholipids and saccharolipids were found to be essential components of the photosynthetic membranes (thylakoid lipidome) in phytoplankton (<xref ref-type="bibr" rid="B9">Boudi&#xe8;re et&#xa0;al., 2014</xref>). The envelopes and thylakoid membranes of <italic>P. tricornutum</italic> chloroplasts primarily consisted of the following lipids (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>): 1) glycerophospholipids - phosphatidylcholine (PC), phosphatidylethanolamine (PE), phosphatidylglycerol (PG), and phosphatidylinositol (PI); 2) saccharolipids - MGDG, DGDG, and SQDG. When phosphate was scarce in the environment, a shortage of phosphate triggered an increase in the content of saccharolipids within the chloroplast, potentially contributing to phosphate storage. Additionally, the limitation or depletion of phosphate resulted in elevated levels of TG and Hex1Cer in <italic>P. tricornutum</italic>. A significant (P&lt; 0.05) positive correlation was observed between the sinking rate of <italic>P. tricornutum</italic> and the concentration of MGDG, DGDG, TG, and Hex1Cer, which exhibited relatively higher levels. Therefore, under conditions of phosphate limitation, <italic>P. tricornutum</italic> may regulate its sinking rate by altering the levels of MGDG, DGDG, TG, and Hex1Cer.</p>
<p>Furthermore, <italic>P. tricornutum</italic> may modulate its sinking rate by substituting denser sulfolipids for phospholipids. In response to phosphate scarcity, <italic>P. tricornutum</italic> reduced its cellular demand for phosphate by substituting PG with SQDG. PG is an essential phospholipid in photosynthetic membranes due to its role as a cofactor in the photosystems (<xref ref-type="bibr" rid="B1">Alipanah et&#xa0;al., 2018</xref>). The sulfolipid SQDG partially fulfills the functions of PG during phosphate limitation (<xref ref-type="bibr" rid="B54">Van Mooy et&#xa0;al., 2009</xref>). From phosphate repletion to phosphate depletion, there was a significant increase in the ratio of SQDG to PG in <italic>P. tricornutum</italic>, rising from 1.1 &#xb1; 0.2 to 2.8 &#xb1; 0.4 (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). This phenomenon has been commonly observed in cyanobacteria and eukaryotic phytoplankton such as <italic>Synechococcus</italic>, <italic>Prochlorococcus</italic>, <italic>Crocosphaera watsonii</italic>, <italic>Trichodesmium erythreum</italic>, <italic>Thalassiosira pseudonana</italic>, and <italic>Chaetoceros affinis</italic> (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Ratios of sulfolipid to phospholipids (SQDG/PG) in phytoplankton cultures.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left">SQDG/PG, P-replete</th>
<th valign="top" align="left">SQDG/PG, P-deplete</th>
<th valign="top" align="left"/>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="4" align="left">Cyanobacteria</th>
</tr>
<tr>
<td valign="top" align="center">
<italic>Synechococcus</italic> WH8102</td>
<td valign="top" align="center">9.9 &#xb1; 2.0</td>
<td valign="top" align="center">120.5 &#xb1; 7.1</td>
<td valign="top" align="center">Mooy et&#xa0;al.</td>
</tr>
<tr>
<td valign="top" align="center">
<italic>Synechococcus</italic> WH7803</td>
<td valign="top" align="center">10.3 &#xb1; 0.3</td>
<td valign="top" align="center">61.6 &#xb1; 15.4</td>
<td valign="top" align="center">Mooy et&#xa0;al.</td>
</tr>
<tr>
<td valign="top" align="center">
<italic>Synechococcus</italic> WH5701</td>
<td valign="top" align="center">6.2 &#xb1; 0.5</td>
<td valign="top" align="center">132.0 &#xb1; 31.0</td>
<td valign="top" align="center">Mooy et&#xa0;al.</td>
</tr>
<tr>
<td valign="top" align="center">
<italic>Prochlorococcus</italic> MED4</td>
<td valign="top" align="center">20.0 &#xb1; 1.3</td>
<td valign="top" align="center">34.1 &#xb1; 1.6</td>
<td valign="top" align="center">Mooy et&#xa0;al.</td>
</tr>
<tr>
<td valign="top" align="center">
<italic>Crocosphaera watsonii</italic>
</td>
<td valign="top" align="center">4.0</td>
<td valign="top" align="center">5.8</td>
<td valign="top" align="center">Mooy et&#xa0;al.</td>
</tr>
<tr>
<td valign="top" align="center">
<italic>Trichodesmium erythreum</italic>
</td>
<td valign="top" align="center">7.8 &#xb1; 1.0</td>
<td valign="top" align="center">18.5 &#xb1; 4.9</td>
<td valign="top" align="center">Mooy et&#xa0;al.</td>
</tr>
<tr>
<th valign="top" colspan="4" align="left">Eukaryotic phytoplankton</th>
</tr>
<tr>
<td valign="top" align="center">
<italic>Thalassiosira pseudonana</italic>
</td>
<td valign="top" align="center">3.0 &#xb1; 0.9</td>
<td valign="top" align="center">394.8 &#xb1; 48.2</td>
<td valign="top" align="center">Mooy et&#xa0;al.</td>
</tr>
<tr>
<td valign="top" align="center">
<italic>Chaetoceros affinis</italic>
</td>
<td valign="top" align="center">10.5 &#xb1; 3.6</td>
<td valign="top" align="center">26.3 &#xb1; 9.0</td>
<td valign="top" align="center">Mooy et&#xa0;al.</td>
</tr>
<tr>
<td valign="top" align="center">
<italic>Phaeodactylum tricornutum</italic>
</td>
<td valign="top" align="center">1.1 &#xb1; 0.2</td>
<td valign="top" align="center">2.8 &#xb1; 0.4</td>
<td valign="top" align="center">This work</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Comparing the physiological and biochemical analysis of the nitrate and phosphate depletion and spike experiments, similar and unique regulations were identified. In both experiments, the photosynthetic capacity initially decreased during nutrient depletion and then increased after nutrient spike. However, a renewed and sustained reduction in photosynthetic capacity occurred only after 6 hours of phosphate spike treatment. Moreover, after 24 hours of phosphate spike treatment, the photosynthetic capacity, growth rate, and sinking rate returned to levels observed during the phosphate-limited phase, indicating depleted extracellular phosphorus and re-entry into the phosphorus-limited phase.</p>
<p>During the P or N limitation and depletion phases of a batch culture of the diatom <italic>P. tricornutum</italic>, the accumulation of TEPs was observed. A similar collection in response to N or P deficiency was found in a study on <italic>Cylindrotheca closterium</italic> (<xref ref-type="bibr" rid="B50">Staats et&#xa0;al., 2000</xref>). TEPs, originating from microorganisms, particularly phytoplankton (<xref ref-type="bibr" rid="B2">Alldredge et&#xa0;al., 1993</xref>), exhibit high viscosity and can adhere to phytoplankton cells, forming aggregates (<xref ref-type="bibr" rid="B43">Passow, 2002</xref>; <xref ref-type="bibr" rid="B47">Simon et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B5">Bar-Zeev et&#xa0;al., 2011</xref>). This phenomenon is supported by changes in overall cell morphology observed in this study. Large aggregates significantly contribute to vertical carbon flux and are considered a key factor driving the downward flux of particulate organic carbon. However, due to their lower density compared to seawater, TEPs tend to remain in surface waters in the absence of ballasting by other particles and can even move upward (<xref ref-type="bibr" rid="B38">Mari et&#xa0;al., 2017</xref>). In the nitrate depletion and spike experiments, as the concentration of TEPs increased, the settling rate of <italic>P. tricornutum</italic> decreased, indicating a significant negative correlation between TEPs concentration and sinking rate (R = -0.71, P&lt; 0.05).</p>
<p>Distinct cellular contents were also observed under P-depleted and N-depleted conditions. In P-depleted cells, protein biosynthesis was suppressed, possibly related to the inhibition of nitrogen uptake (<xref ref-type="bibr" rid="B1">Alipanah et&#xa0;al., 2018</xref>). These results align with a previous study on P deficiency in <italic>Aureococcus anophagefferens</italic> (<xref ref-type="bibr" rid="B57">Wurch et&#xa0;al., 2011</xref>). In N-depleted cells, intracellular carbohydrates were accumulated. Huang et&#xa0;al. also reported the accumulation of carbohydrates within <italic>Microcystis</italic> under nitrogen limitation (<xref ref-type="bibr" rid="B26">Huang et&#xa0;al., 2019</xref>).</p>
<p>Despite their small particle size (&lt; 20 &#x3bc;m) and the absence of frustules in the fusiform and triradiate forms, <italic>P. tricornutum</italic> exhibited a faster sinking rate under phosphorus-depleted conditions compared to <italic>Skeletonema costatum</italic>, <italic>Ditylum brightwellii</italic>, and <italic>Chaetoceros gracile</italic> (<xref ref-type="bibr" rid="B7">Bienfang et&#xa0;al., 1982</xref>). Rapid sinking is highly efficient in transporting particulate organic carbon to greater depths (<xref ref-type="bibr" rid="B45">Passow and Carlson, 2012</xref>). <italic>P. tricornutum</italic> is predominantly found in near-coastal areas, including estuaries (<xref ref-type="bibr" rid="B39">Martino et&#xa0;al., 2007</xref>), where currents converge or impinge on shelf margins, resulting in highly spatially and temporally variable nutrient concentrations and P-limited dominance in summer, such as in the Yangtze and Pearl River estuaries (<xref ref-type="bibr" rid="B56">Wong et&#xa0;al., 1998</xref>; <xref ref-type="bibr" rid="B58">Xu et&#xa0;al., 2008</xref>). The ability to rapidly respond to changes in nutrient concentrations may be particularly advantageous for <italic>P. tricornutum</italic> to exploit patchy nutrient distributions, contributing significantly to carbon export under P-limited conditions.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>WZ: Conceptualization, Supervision, Data curation, Formal Analysis, Investigation, Methodology, Software, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. QH: Conceptualization, Funding acquisition, Methodology, Resources, Supervision, Writing &#x2013; review &amp; editing. JZ: Data curation, Software, Formal Analysis, Validation, Writing &#x2013; review &amp; editing. YD: Data curation, Methodology, Software, Writing &#x2013; review &amp; editing. MX: Data curation, Software, Writing &#x2013; review &amp; editing. YC: Funding acquisition, Project administration, Supervision, Writing &#x2013; review &amp; editing. CL: Methodology, Project administration, Supervision, Validation, Writing &#x2013; review &amp; editing. HZ: Methodology, Project administration, Software, Validation, Writing &#x2013; review &amp; editing. FL: Funding acquisition, Project administration, Resources, Validation, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was funded by the Open Foundation of Donghai Laboratory (Grant No. DH-2022KF0215), the Impact and Response of Antarctic Seas to Climate Change Project (IRASCC 01-02-01A), the Zhejiang Provincial Ten Thousand Talents Plan (Grant No. 2020R52038), and the United Nations Ocean Decade Project of &#x201c;The Exchange Between Kuroshio and Marginal Sea and Its Ecological Effect&#x201d;.</p>
</sec>
<sec id="s8" 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="s9" 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="s10" 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.2023.1255915/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2023.1255915/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
<supplementary-material xlink:href="Table_1.xlsx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
</sec>
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