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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.2021.775575</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>Changes in Growth Performance, Nutrient Metabolism, Antioxidant Defense and Immune Response After Fishmeal Was Replaced by Low-Gossypol Cottonseed Meal in Golden Pompano (<italic>Trachinotus ovatus</italic>)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Qin</surname> <given-names>Yawen</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>He</surname> <given-names>Chaoqun</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Wenqiang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Yang</surname> <given-names>Peng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Jun</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1509305/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Qin</surname> <given-names>Qinbo</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Mai</surname> <given-names>Kangsen</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Song</surname> <given-names>Fei</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>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/850734/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Guangzhou Key Laboratory of Subtropical Biodiversity and Biomonitoring, Guangdong Provincial Key Laboratory for Healthy and Safe Aquaculture, College of Life Science, Institute of Modern Aquaculture Science and Engineering (IMASE), South China Normal University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Southern Marine Science and Engineering Guangdong Laboratory</institution>, <addr-line>Zhanjiang</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>State Key Laboratory of Developmental Biology of Freshwater Fish, College of Life Sciences, Hunan Normal University</institution>, <addr-line>Changsha</addr-line>, <country>China</country></aff>
<aff id="aff5"><sup>5</sup><institution>Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)</institution>, <addr-line>Zhuhai</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Kang-le Lu, Jimei University, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Cunxin Sun, Chinese Academy of Fishery Sciences, China; M. Virginia Mart&#x00ED;n, Instituto Espa&#x00F1;ol de Oceanograf&#x00ED;a (IEO), Spain; Shuyan Chi, Guangdong Ocean University, China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Fei Song, <email>songfei@m.scnu.edu.cn</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Marine Fisheries, Aquaculture and Living Resources, a section of the journal Frontiers in Marine Science</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>11</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>8</volume>
<elocation-id>775575</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>09</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>10</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2021 Qin, He, Wang, Yang, Wang, Qin, Mai and Song.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Qin, He, Wang, Yang, Wang, Qin, Mai and Song</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>The present study was designed to elucidate the changing pattern of growth performance, nutrient metabolism, antioxidant defense, and immune response after fishmeal (FM) was replaced by cottonseed meal (CSM). Four isonitrogenous and isolipidic experimental diets (42.5% crude protein, 14.0% crude lipid) were formulated to replace 0% (CSM0 diet), 20% (CSM20 diet), 40% (CSM40 diet), and 60% (CSM60 diet) of the FM protein with CSM. Juvenile golden pompano (<italic>Trachinotus ovatus</italic>) with an initial body weight of 24.8 &#x00B1; 0.02 g were fed each diet for 6 weeks. The results showed that compared with the control diet, significant differences were not found in the weight gain ratio, specific growth performance, and apparent digestibility of dry matter and protein after 20% FM was replaced by CSM. Higher CSM replacement markedly decreased the growth performance (<italic>P</italic> &#x003C; 0.05). Moreover, the CSM20 and CSM40 diets did not depress the feed efficiency ratio and protein efficiency ratio compared with the CSM0 diet. Further exploring the physio-biochemical and molecular responses, the present study also showed that dietary 20&#x2013;40% CSM replacement had no significant effect on altering the whole body, plasma nutrient contents, free amino acids, or whole-body fatty acid contents. Additionally, the CSM20 diet did not change the mRNA and protein phosphorylation levels of the key enzymes and regulators involved in target of rapamycin (TOR) and amino acid response (AAR) signaling, nutrient metabolism, immune response, and antioxidant defense. Higher CSM inclusion significantly varied the TOR and AAR signaling response, nutrient metabolism, immune response, and antioxidant defense. Based on the results, CSM could successfully replace 20% FM in the formulated diets for golden pompano. This study proposes the optimal inclusion level of CSM in the diet, which has an important significance in optimizing aquafeeds formulation.</p>
</abstract>
<kwd-group>
<kwd>fishmeal replacement</kwd>
<kwd>low-gossypol cottonseed meal</kwd>
<kwd>physio-biochemical changes</kwd>
<kwd>gene and protein expression</kwd>
<kwd>golden pompano (<italic>Trachinotus ovatus</italic>)</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="8"/>
<equation-count count="0"/>
<ref-count count="53"/>
<page-count count="15"/>
<word-count count="12309"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>Although researchers have been devoted to exploring fishmeal (FM) substitution for a few decades, seeking appropriate protein sources to replace FM is still an important mission to achieve sustainable development of aquaculture (<xref ref-type="bibr" rid="B36">Wacyk et al., 2012</xref>; <xref ref-type="bibr" rid="B31">Song et al., 2016</xref>). In recent decades, a large number of studies have been conducted to assess the efficiency of high-quality plant and animal protein sources in FM replacement (<xref ref-type="bibr" rid="B10">Gatlin et al., 2007</xref>; <xref ref-type="bibr" rid="B25">Lu et al., 2015</xref>). The results have proved that different protein sources showed diverse substitution efficiencies in different fish species (<xref ref-type="bibr" rid="B32">Song et al., 2014</xref>; <xref ref-type="bibr" rid="B38">Wang et al., 2015</xref>). In recent years, large quantities of alternative protein sources used in the aquafeeds industry resulted in a competition between humans and animals for food. This phenomenon will directly threaten the entire food security system of the world. Therefore, searching for new non-grain protein sources to replace FM represents a new research topic for aquaculture nutrition studies.</p>
<p>Previously, cottonseed meal (CSM) did not attract much attention as a potential FM substitution in the aquafeeds industry. Currently, an increasing number of researchers have realized that CSM is a special protein source for FM substitution because of its abundance throughout the world and also because it is considered as one of the most important non-grain protein sources for aquafeeds (<xref ref-type="bibr" rid="B24">Lim and Lee, 2009</xref>; <xref ref-type="bibr" rid="B51">Ye et al., 2020</xref>). The annual cottonseed production in China was more than 3.5 million tons (<xref ref-type="bibr" rid="B16">Hu et al., 2021</xref>). Moreover, compared with other alternative protein sources, CSM has relatively higher protein content, well-balanced amino acid (AA) profile and steady supply is a potential protein source in aquafeeds (<xref ref-type="bibr" rid="B21">Li and Robinson, 2006</xref>). However, CSM contains a high content of gossypol, and a large quantity of free gossypol in the diet is toxic to fish species, which restricts its utilization in aquafeeds (<xref ref-type="bibr" rid="B52">Zheng et al., 2012</xref>). Therefore, CSM in which gossypol was eliminated has become favored because of the improved efficiency of its application in diets.</p>
<p>Previous studies have demonstrated that low-gossypol CSM has different replacement proportions in different species. Research on southern flounder (<italic>Paralichthys lethostigma</italic>) suggested that low-gossypol CSM could substitute 75% FM without affecting the growth performance (<xref ref-type="bibr" rid="B33">Sullivan and Reigh, 1995</xref>). <xref ref-type="bibr" rid="B1">Anderson et al. (2016)</xref> also reported that CSM prepared by solvent extraction could successfully replace dietary 75% FM in black seabass (<xref ref-type="bibr" rid="B1">Anderson et al., 2016</xref>). In Pacific white shrimp (<italic>Litopenaeus vannamei</italic>), 130 g/kg of FM could be replaced by 150 g/kg of dephenolized cottonseed protein (<xref ref-type="bibr" rid="B37">Wan et al., 2018</xref>). However, a study conducted by <xref ref-type="bibr" rid="B4">Bu et al. (2017)</xref> demonstrated that CSM inclusion over 25.3% could significantly depress the growth performance, antioxidant capacity, and immune response in the Ussuri catfish <italic>Pseudobagrus ussuriensis</italic>. All of the literature has elucidated the varying toleration of CSM in different species.</p>
<p>Fishmeal substituted by other protein sources affects nutrient metabolism by regulating nutrient sensing signaling pathways. Our study showed the regulatory role of target of rapamycin (TOR) and amino acid response (AAR) signaling pathways on lipid and glucose metabolism (<xref ref-type="bibr" rid="B31">Song et al., 2016</xref>). Studies on the large yellow croaker (<italic>Larimichthys crocea</italic>) (<xref ref-type="bibr" rid="B43">Wei et al., 2019</xref>) and juvenile turbot (<italic>Scophthalmus maximus</italic> L.) (<xref ref-type="bibr" rid="B38">Wang et al., 2015</xref>) also showed that alternative protein meal replacement diets changed growth performance and nutrient metabolism by regulating the TOR signaling pathway. Moreover, FM replacement has also had a great effect on modifying the immune response in fish species (<xref ref-type="bibr" rid="B8">Dossou et al., 2018</xref>; <xref ref-type="bibr" rid="B46">Xie et al., 2019</xref>). In 2020, Yang et al. reported that largemouth bass fed a poultry by-product meal total substitution diet markedly altered their antioxidant defense and immune response compared with fish fed a FM diet (<xref ref-type="bibr" rid="B50">Yang et al., 2020</xref>). Moreover, researchers on red sea bream <italic>Pagrus major</italic> (<xref ref-type="bibr" rid="B8">Dossou et al., 2018</xref>) and hybrid grouper female <italic>Epinephelus fuscoguttatus</italic> &#x00D7; male <italic>E</italic>. <italic>lanceolatus</italic> (<xref ref-type="bibr" rid="B13">He et al., 2021</xref>) provided solid evidence that FM replacement impaired health status by damaging the immune system. Therefore, estimating the changes in nutrient metabolism, immune response, and antioxidant defense status after fish fed alternative protein sources was considered as another important evaluation indicator in assessing the optimal substitution ratio.</p>
<p>Golden pompano (<italic>Trachinotus ovatus</italic>) is a commercially important marine fish due to its advantage of growing fast, favorable taste, good nutrient profile, and suitability for culture (<xref ref-type="bibr" rid="B34">Tan et al., 2016</xref>). In China, it is widely distributed along the coastline of the South China Sea including Guangdong, Fujian, and Hainan provinces. Since it is a carnivorous fish species, golden pompano has a higher requirement for dietary protein (<xref ref-type="bibr" rid="B35">Tang et al., 2013</xref>; <xref ref-type="bibr" rid="B49">Xun et al., 2019</xref>). Therefore, searching new protein sources to optimize diet formulation has become the key way to achieve healthy and sustainable development of the golden pompano culture industry (<xref ref-type="bibr" rid="B26">Ma et al., 2014</xref>). The present study was designed to evaluate the optimal replacement ratio of CSM for FM in golden pompano based on the results of growth performance, physiological and biochemical indexes, metabolism changes, and molecular responses.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Ethics Statement</title>
<p>The experimental procedures strictly complied with the regulations of the University Animal Care and Use Committee of the South China Normal University (an approval reference number 1002019-02-0016).</p>
</sec>
<sec id="S2.SS2">
<title>Experimental Diet</title>
<p>Four isonitrogenous (approximately 42.5% crude protein) and isolipidic (approximately 14.0% crude lipid) diets were formulated mainly using FM, CSM, corn-gluten meal, poultry byproduct meal, soybean meal, and peanut meal as the main protein sources, and fish oil, soybean oil, and soybean lecithin as the lipid sources. The FM-based diet was regarded as the control diet (CSM0 diet), and the CSM gradient-substituted FM diet was named the CSM20 diet, CSM40 diet, and CSM60, respectively. Dietary lysine, methionine, and threonine were supplemented to meet the requirements of the golden pompano. The dry ingredients were finely ground into powder through a 320-&#x03BC;m screen. Afterward, all compositions used in the diets were individually blended in a mixer and further homogenized after oil and water were added. The pellets were then forced through a pelletizer (F-26, South China University of Technology, Guangzhou, China) and air-dried at 45&#x00B0;C to obtain moisture of approximately 10%. All the experimental diets were stored at &#x2212;20&#x00B0;C until use. The experimental diet formulation is presented in <xref ref-type="table" rid="T1">Table 1</xref>, and the AA composition of the experimental diets is shown in <xref ref-type="table" rid="T2">Table 2</xref>.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Experimental diets formulations.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Ingredients</td>
<td valign="top" align="center" colspan="4">Diets (% dry weight)<hr/></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">CSM0</td>
<td valign="top" align="center">CSM20</td>
<td valign="top" align="center">CSM40</td>
<td valign="top" align="center">CSM60</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Fishmeal</td>
<td valign="top" align="center">25.00</td>
<td valign="top" align="center">20.00</td>
<td valign="top" align="center">15.00</td>
<td valign="top" align="center">10.00</td>
</tr>
<tr>
<td valign="top" align="left">Cottonseed meal (CSM)</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">5.00</td>
<td valign="top" align="center">10.00</td>
<td valign="top" align="center">15.00</td>
</tr>
<tr>
<td valign="top" align="left">Corn gluten meal</td>
<td valign="top" align="center">13.00</td>
<td valign="top" align="center">13.00</td>
<td valign="top" align="center">13.00</td>
<td valign="top" align="center">13.00</td>
</tr>
<tr>
<td valign="top" align="left">Poultry by-product meal</td>
<td valign="top" align="center">11.00</td>
<td valign="top" align="center">11.00</td>
<td valign="top" align="center">11.00</td>
<td valign="top" align="center">11.00</td>
</tr>
<tr>
<td valign="top" align="left">Soybean meal</td>
<td valign="top" align="center">8.50</td>
<td valign="top" align="center">8.50</td>
<td valign="top" align="center">8.50</td>
<td valign="top" align="center">8.50</td>
</tr>
<tr>
<td valign="top" align="left">Peanut meal</td>
<td valign="top" align="center">6.50</td>
<td valign="top" align="center">6.50</td>
<td valign="top" align="center">6.50</td>
<td valign="top" align="center">6.50</td>
</tr>
<tr>
<td valign="top" align="left">Wheat meal</td>
<td valign="top" align="center">17.50</td>
<td valign="top" align="center">17.50</td>
<td valign="top" align="center">17.50</td>
<td valign="top" align="center">17.50</td>
</tr>
<tr>
<td valign="top" align="left">Fish oil</td>
<td valign="top" align="center">1.50</td>
<td valign="top" align="center">2.00</td>
<td valign="top" align="center">2.40</td>
<td valign="top" align="center">2.80</td>
</tr>
<tr>
<td valign="top" align="left">Soybean oil</td>
<td valign="top" align="center">5.00</td>
<td valign="top" align="center">5.00</td>
<td valign="top" align="center">5.00</td>
<td valign="top" align="center">5.00</td>
</tr>
<tr>
<td valign="top" align="left">Soybean lecithin</td>
<td valign="top" align="center">2.50</td>
<td valign="top" align="center">2.50</td>
<td valign="top" align="center">2.50</td>
<td valign="top" align="center">2.50</td>
</tr>
<tr>
<td valign="top" align="left">Monocalcium phosphate</td>
<td valign="top" align="center">1.50</td>
<td valign="top" align="center">1.70</td>
<td valign="top" align="center">1.90</td>
<td valign="top" align="center">2.10</td>
</tr>
<tr>
<td valign="top" align="left">Lysine</td>
<td valign="top" align="center">0.28</td>
<td valign="top" align="center">0.45</td>
<td valign="top" align="center">0.60</td>
<td valign="top" align="center">0.75</td>
</tr>
<tr>
<td valign="top" align="left">Methionine</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.20</td>
<td valign="top" align="center">0.25</td>
</tr>
<tr>
<td valign="top" align="left">Threonine</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.07</td>
</tr>
<tr>
<td valign="top" align="left">Squid paste</td>
<td valign="top" align="center">1.50</td>
<td valign="top" align="center">1.50</td>
<td valign="top" align="center">1.50</td>
<td valign="top" align="center">1.50</td>
</tr>
<tr>
<td valign="top" align="left">Mineral premix<italic><xref ref-type="table-fn" rid="t1fna"><sup>a</sup></xref></italic></td>
<td valign="top" align="center">1.50</td>
<td valign="top" align="center">1.50</td>
<td valign="top" align="center">1.50</td>
<td valign="top" align="center">1.50</td>
</tr>
<tr>
<td valign="top" align="left">Vitamin premix<italic><xref ref-type="table-fn" rid="t1fnb"><sup>b</sup></xref></italic></td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center">0.50</td>
</tr>
<tr>
<td valign="top" align="left">Chromium trioxide</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.10</td>
</tr>
<tr>
<td valign="top" align="left">Lutein</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.10</td>
</tr>
<tr>
<td valign="top" align="left">Antioxidant</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">0.05</td>
</tr>
<tr>
<td valign="top" align="left">Mold inhibitor</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.10</td>
</tr>
<tr>
<td valign="top" align="left">Cellulose</td>
<td valign="top" align="center">3.76</td>
<td valign="top" align="center">2.82</td>
<td valign="top" align="center">2.00</td>
<td valign="top" align="center">1.18</td>
</tr>
<tr>
<td valign="top" colspan="5"><hr/></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Proximate composition</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" colspan="5"><hr/></td>
</tr>
<tr>
<td valign="top" align="left">DM (%)</td>
<td valign="top" align="center">90.24</td>
<td valign="top" align="center">89.98</td>
<td valign="top" align="center">89.91</td>
<td valign="top" align="center">90.12</td>
</tr>
<tr>
<td valign="top" align="left">Crude protein (%)</td>
<td valign="top" align="center">42.42</td>
<td valign="top" align="center">42.51</td>
<td valign="top" align="center">42.58</td>
<td valign="top" align="center">42.66</td>
</tr>
<tr>
<td valign="top" align="left">Crude lipid (%)</td>
<td valign="top" align="center">14.00</td>
<td valign="top" align="center">14.09</td>
<td valign="top" align="center">14.07</td>
<td valign="top" align="center">14.05</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t1fna"><p><italic><sup>a</sup>Mineral premix (mg/kg diet): NaF, 2 mg; KI, 0.8 mg; CoCl<sub>2</sub>&#x22C5;6H<sub>2</sub>O (10 g/kg), 50 mg; CuSO<sub>4</sub>&#x22C5;5H<sub>2</sub>O, 10 mg; FeSO<sub>4</sub>&#x22C5;H<sub>2</sub>O, 80 mg; ZnSO<sub>4</sub>&#x22C5;H<sub>2</sub>O, 50 mg; MnSO<sub>4</sub>&#x22C5;H<sub>2</sub>O, 60 mg; MgSO<sub>4</sub>.7H<sub>2</sub>O, 1,200 mg; Ca(H<sub>2</sub>PO<sub>4</sub>)<sub>2</sub>&#x22C5;H<sub>2</sub>O, 3,000 mg; NaCl, 100 mg; zeolite, 15,447 mg.</italic></p></fn>
<fn id="t1fnb"><p><italic><sup>b</sup>Vitamin premix (mg/kg diet): thiamin, 25 mg; riboflavin, 45 mg; pyridoxine HCl, 20 mg; vitamin B12, 0.1 mg; vitamin K3, 10 mg; inositol, 800 mg; pantothenic acid, 60 mg; niacin acid, 200 mg; folic acid, 20 mg; biotin, 1.20 mg; retinal acetate, 32 mg; cholecalciferol, 5 mg; &#x03B1;-to-copherol, 120 mg; ascorbic acid, 2,000 mg; choline chloride, 2,500 mg; ethoxyquin 150 mg; wheat middling, 14,012 mg.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>The essential amino acids composition of the experimental diets.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Amino acids</td>
<td valign="top" align="left" colspan="4">Diets (% dry weight)<hr/></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">CSM0</td>
<td valign="top" align="center">CSM20</td>
<td valign="top" align="center">CSM40</td>
<td valign="top" align="center">CSM60</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Lys</td>
<td valign="top" align="center">1.90</td>
<td valign="top" align="center">1.92</td>
<td valign="top" align="center">1.92</td>
<td valign="top" align="center">1.91</td>
</tr>
<tr>
<td valign="top" align="left">Met</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center">0.70</td>
</tr>
<tr>
<td valign="top" align="left">Thr</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center">0.88</td>
</tr>
<tr>
<td valign="top" align="left">Arg</td>
<td valign="top" align="center">1.29</td>
<td valign="top" align="center">1.51</td>
<td valign="top" align="center">1.73</td>
<td valign="top" align="center">1.95</td>
</tr>
<tr>
<td valign="top" align="left">His</td>
<td valign="top" align="center">0.47</td>
<td valign="top" align="center">0.49</td>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center">0.53</td>
</tr>
<tr>
<td valign="top" align="left">Ile</td>
<td valign="top" align="center">0.84</td>
<td valign="top" align="center">0.81</td>
<td valign="top" align="center">0.79</td>
<td valign="top" align="center">0.77</td>
</tr>
<tr>
<td valign="top" align="left">Leu</td>
<td valign="top" align="center">1.51</td>
<td valign="top" align="center">1.48</td>
<td valign="top" align="center">1.45</td>
<td valign="top" align="center">1.42</td>
</tr>
<tr>
<td valign="top" align="left">Phe</td>
<td valign="top" align="center">0.89</td>
<td valign="top" align="center">0.94</td>
<td valign="top" align="center">0.99</td>
<td valign="top" align="center">1.04</td>
</tr>
<tr>
<td valign="top" align="left">Val</td>
<td valign="top" align="center">1.02</td>
<td valign="top" align="center">1.01</td>
<td valign="top" align="center">0.99</td>
<td valign="top" align="center">0.97</td>
</tr>
<tr>
<td valign="top" align="left">Cys</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">0.20</td>
<td valign="top" align="center">0.23</td>
</tr>
<tr>
<td valign="top" align="left">Tyr</td>
<td valign="top" align="center">0.66</td>
<td valign="top" align="center">0.65</td>
<td valign="top" align="center">0.65</td>
<td valign="top" align="center">0.64</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="S2.SS3">
<title>Fish and Experimental Conditions</title>
<p>Three hundred and sixty golden pompano were purchased from the Dayawan Fish Farm (Guangdong, China). All fish were fed the CSM0 diet two times per day for 2 weeks to apply experimental conditions before the start of the experiment. Afterward, golden pompano were weighed after 24 h of fasting. Thirst fish with an initial weight of 28.42 &#x00B1; 0.02 g were randomly assigned to sea cages (1.5 m &#x00D7; 1.5 m &#x00D7; 1.5 m), and each diet was allocated in three replicates. Fish were fed two times (07:00 and 17:00) daily by hand to apparent satiation for 6 weeks. During the trial, the feed consumption, water temperature, and dissolved oxygen were recorded daily. Water temperature ranged from 28 to 30&#x00B0;C, and dissolved oxygen ranged from 5.0 to 6.0 mg/L.</p>
</sec>
<sec id="S2.SS4">
<title>Sample Collection</title>
<p>At the end of the feeding trial, the experimental fish were weighed and counted 24 h after the last feeding, and three fish from each cage were randomly selected for whole body biochemical and fatty acids content measurement. In addition, 12 fish (four per tank) from each treatment were anesthetized with 100 mg/L eugenol (Shanghai Medical Co., Ltd., Shanghai, China). Blood samples were obtained by using the caudal venipuncture method. All samples were put into the anticoagulant tubes and immediately centrifuged at 3,000 &#x00D7; <italic>g</italic> for 5 min at 4&#x00B0;C. The supernatant plasma was placed into liquid nitrogen and then kept at &#x2212;80&#x00B0;C for analysis. At the same time, the liver, intestine, and kidney were dissected and pooled into RNAase-free tubes (Axygen), frozen in liquid N<sub>2</sub>, and then stored at &#x2212;80&#x00B0;C until gene expression analysis.</p>
</sec>
<sec id="S2.SS5">
<title>Digestibility Trial</title>
<p>A digestibility trial was conducted during the feeding trial period. Chromium trioxide (0.1%) (99.9%, Sigma Co., Ltd., MO, United States) was used as the indicator in the diets. The collected feces were dried for 6 h at 65&#x00B0;C and stored at &#x2212;20&#x00B0;C until analysis. The content of chromium trioxide in the diet and feces was measured by perchloric acid digestion and determined by inductively coupled plasma-atomic emission spectrophotometry (ICP-OES, VISTA- MPX) (<xref ref-type="bibr" rid="B3">Bian et al., 2017</xref>).</p>
</sec>
<sec id="S2.SS6">
<title>Proximate Composition Analysis</title>
<p>A proximate composition analysis was conducted following previous studies (<xref ref-type="bibr" rid="B5">Cai et al., 2020</xref>). Moisture was measured by drying samples to a constant weight in an oven at 105&#x00B0;C. Crude protein was detected using the Dumas nitrogen determination apparatus (DT autosampler, Europe Gerhardt Company, Germany). The Soxtec&#x2122; 2055 extraction by using petroleum ether (B.P. 30&#x2013;60&#x00B0;C for 3 h) was used for crude lipid determination. Ash was determined by combustion in a muffle furnace (FO610C, Yamato Scientific Co., Ltd., Tokyo, Japan) to a constant weight at 550&#x00B0;C. The ingredients and diets were dried by a freezer dryer (ALPHA1-2 LD plus, Christ Co., Ltd., Germany) to determine the AA concentrations. After digestion with 6 M HCl for 22 h, all the AA compositions in the ingredients and diets were measured by an L-8900 AA analyzer (Hitachi, Japan).</p>
</sec>
<sec id="S2.SS7">
<title>Analysis of Free Amino Acid and Fatty Acids</title>
<p>The free AA composition in plasma was analyzed using an auto AA analyzer (LA8080; Hitachi, Tokyo, Japan). The details were described by <xref ref-type="bibr" rid="B39">Wang et al. (2020)</xref>. Briefly, 1.2 ml of 10% sulfosalicylic acid solution and 400 &#x03BC;l of each plasma sample were mixed well. After incubation for 5 min at 4&#x00B0;C, all the samples were centrifuged at 13,000 rpm for 15 min at 4&#x00B0;C. Supernatants were filtered through 0.22-&#x03BC;m filters for free AA concentration analysis. The fatty acid composition of the whole body was measured following the methodology of <xref ref-type="bibr" rid="B27">Mourente et al. (1999)</xref> with some modifications (<xref ref-type="bibr" rid="B48">Xu et al., 2010</xref>).</p>
</sec>
<sec id="S2.SS8">
<title>Determination of Plasma and Liver Biochemical Parameters</title>
<p>The measurement of plasma and liver biochemical parameters was followed by <xref ref-type="bibr" rid="B50">Yang et al. (2020)</xref>. Around 200 &#x03BC;l of each plasma sample was used for this detection. The concentrations of total glucose (GLU), total protein (TP), triglycerides (TG), total cholesterol (CHOL), high-density lipoprotein (HDL), low-density lipoprotein (LDL), aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase (ALP), lactate dehydrogenase (LDH), and creatine kinase (CK) in plasma were measured by using an Automatic Biochemical Analyzer (Sysmex Corporation, CHEMIX- 800, Kobe, Japan).</p>
</sec>
<sec id="S2.SS9">
<title>RNA Extraction and Quantitative Real-Time PCR</title>
<p>Total RNA was extracted by using the TRIzol method (Vazyme Biotech Co., Ltd., China) following the manufacturer&#x2019;s instructions. After RNA eluted in diethyl pyrocarbonate (DEPC)-treated water, the quantity and quality of isolated RNA were measured using NanoDrop 2000 spectrophotometer (Thermo, NanoDrop Technologies, United States) and electrophoresis in a 1.2% agarose gel, respectively. One microgram of RNA was transcribed into cDNA by using the Prime Script RT reagent Kit (Vazyme Biotech Co., Ltd., China). The cDNA templates were diluted to 100 ng/&#x03BC;L with DEPC water before use for quantitative real-time PCR analysis.</p>
<p>Primers used in this study are shown in <xref ref-type="table" rid="T3">Table 3</xref>. Targeted gene expression levels were determined by quantitative RT-PCR carried out on a CFX96 real-time PCR machine (CFX96, BIO-RAD, United States) using Hiff<sup>&#x00AE;</sup> qPCR SYBR Green Master Mix (Yeasen, Shanghai, China). The thermal cycle program of qRT-PCR was as follows: 95&#x00B0;C for 2 min, then 40 cycles at 95&#x00B0;C for 15 s, 58&#x00B0;C&#x2013;60&#x00B0;C for 30 s, and 72&#x00B0;C for 20 s. Melting curve analysis after the end of each PCR was executed to confirm that only one single product was present in these reactions. Relative expression levels of target genes were calculated using the comparative CT method (2<sup>&#x2013;&#x0394;&#x0394;<italic>Ct</italic></sup> method). Relatively gene expression is represented as the fold change relative to the control group (<xref ref-type="bibr" rid="B53">Zhou et al., 2019</xref>).</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>The sequences of the primers used in the RT-PCR.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Target gene</td>
<td valign="top" align="left">Forward sequence(5&#x2032;&#x2013;3&#x2032;)</td>
<td valign="top" align="left">Reverse sequence (5&#x2032;&#x2013;3&#x2032;)</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">TOR</td>
<td valign="top" align="left">GGGTCTTATGAGCCAGTGC CAGG</td>
<td valign="top" align="left">CTTCAGGGTTGTCAGCGGA TTGT</td>
</tr>
<tr>
<td valign="top" align="left">S6</td>
<td valign="top" align="left">GCACTGTCCCTCGCCGTCTT</td>
<td valign="top" align="left">CTGGGCTTCTTGCCTTCTTT</td>
</tr>
<tr>
<td valign="top" align="left">4EBP1</td>
<td valign="top" align="left">ACACCCCAGCAGGAACTTT</td>
<td valign="top" align="left">GTGACCATCAACGACGCAG</td>
</tr>
<tr>
<td valign="top" align="left">eIF2&#x03B1;</td>
<td valign="top" align="left">TGTATTCCAGCACCTC AGCC</td>
<td valign="top" align="left">CGTGGTCGTCATCCGA GTAGA</td>
</tr>
<tr>
<td valign="top" align="left">ATF4</td>
<td valign="top" align="left">CTGCGTCACCCCTCAACTCC</td>
<td valign="top" align="left">CATTCGCTCCATCCACAACC</td>
</tr>
<tr>
<td valign="top" align="left">CHOP</td>
<td valign="top" align="left">CGGAGTTTCTGGATGTT TTGGA</td>
<td valign="top" align="left">AGGAGGAGGAAGAGGAG GATGA</td>
</tr>
<tr>
<td valign="top" align="left">REDD1</td>
<td valign="top" align="left">AGCCAAAGACTCAGAAT GCG</td>
<td valign="top" align="left">TGAAAGGTGGGGACAA GGTA</td>
</tr>
<tr>
<td valign="top" align="left">FAS</td>
<td valign="top" align="left">GATGGATACAAAGAGCAAGG</td>
<td valign="top" align="left">GTGGAGCCGATAAGAAGA</td>
</tr>
<tr>
<td valign="top" align="left">ACC</td>
<td valign="top" align="left">GTTGTCAATCCCAGCCGATC</td>
<td valign="top" align="left">ATCCACAATGTAGGCCCCAA</td>
</tr>
<tr>
<td valign="top" align="left">AGPAT3</td>
<td valign="top" align="left">CTTCCTGTTTTGGGCCACTC</td>
<td valign="top" align="left">GTCGCCATAACTTGAGCCTG</td>
</tr>
<tr>
<td valign="top" align="left">FAD2a</td>
<td valign="top" align="left">GAACAATCCCACTTCAACG</td>
<td valign="top" align="left">AGGAATCCCATACTTCTCACA</td>
</tr>
<tr>
<td valign="top" align="left">elovl5</td>
<td valign="top" align="left">TACATGGTCACGCTCATTA TCC</td>
<td valign="top" align="left">CCGTTCTGATGCTCCTTC TTTA</td>
</tr>
<tr>
<td valign="top" align="left">SREBP1</td>
<td valign="top" align="left">GAGCCAAGACAGAGGAGTGT</td>
<td valign="top" align="left">GTCCTCTTGTCTCCCAGCTT</td>
</tr>
<tr>
<td valign="top" align="left">LPL</td>
<td valign="top" align="left">TTTGTCCTTCCTCGTCACCA</td>
<td valign="top" align="left">AAGACAGCATCCTCTCCACC</td>
</tr>
<tr>
<td valign="top" align="left">HSL</td>
<td valign="top" align="left">TCATACCTCCACACCAACCC</td>
<td valign="top" align="left">GTCTCGCAGTTTCTTGGCAA</td>
</tr>
<tr>
<td valign="top" align="left">CPT1</td>
<td valign="top" align="left">CTTTAGCCAAGCCCTTCATC</td>
<td valign="top" align="left">CACGGTTACCTGTTCCCTCT</td>
</tr>
<tr>
<td valign="top" align="left">PPAR&#x03B3;</td>
<td valign="top" align="left">TCAGGGTTTCACTATGGCGT</td>
<td valign="top" align="left">CTGGAAGCGACAGTATTGGC</td>
</tr>
<tr>
<td valign="top" align="left">PPAR&#x03B1;</td>
<td valign="top" align="left">AATCTCAGCGTGTCGTCTT</td>
<td valign="top" align="left">GGAAATGCTTCGGATACTTG</td>
</tr>
<tr>
<td valign="top" align="left">FABP1</td>
<td valign="top" align="left">CCAAGGACATCAAGCCAATTAC</td>
<td valign="top" align="left">TGGTGATTTCAGCCTCCTTAC</td>
</tr>
<tr>
<td valign="top" align="left">APRO B100</td>
<td valign="top" align="left">AAAAGCCACAAGACGAA AGCA</td>
<td valign="top" align="left">GAAGCAGCAAAAGGCA GAGC</td>
</tr>
<tr>
<td valign="top" align="left">g6pdh</td>
<td valign="top" align="left">CTGTGGCAAAAGTTGGTGTG</td>
<td valign="top" align="left">CCTGATGATGTGAGGGATGA</td>
</tr>
<tr>
<td valign="top" align="left">HK</td>
<td valign="top" align="left">CCTTCCTCGTCTTTGTCATTT</td>
<td valign="top" align="left">TGTCCGTCTCATCCTGGTG</td>
</tr>
<tr>
<td valign="top" align="left">PK</td>
<td valign="top" align="left">TTTGCCAGTTTCATCCGCT</td>
<td valign="top" align="left">CCATCACGCCATCGCTCT</td>
</tr>
<tr>
<td valign="top" align="left">pfk-1</td>
<td valign="top" align="left">TGGGTGGGACCGTGATT</td>
<td valign="top" align="left">AGGTTGGTGATGCCTTTCTT</td>
</tr>
<tr>
<td valign="top" align="left">pepck</td>
<td valign="top" align="left">TGGAGTGTTTGTTGGAG CAG</td>
<td valign="top" align="left">CGAAGTTGTAGCCGAA GAAG</td>
</tr>
<tr>
<td valign="top" align="left">glut2</td>
<td valign="top" align="left">TCCTGTTTGCTGTGCTGCTT</td>
<td valign="top" align="left">GTTTTCCGTCCCTTGCG</td>
</tr>
<tr>
<td valign="top" align="left">glut4</td>
<td valign="top" align="left">AATGGCTGTGGCTGGCTT</td>
<td valign="top" align="left">AGGTTTTTCCCCGTGTTTCT</td>
</tr>
<tr>
<td valign="top" align="left">IL-10</td>
<td valign="top" align="left">CTCCAGACAGAAGACTCC AGCA</td>
<td valign="top" align="left">GGAATCCCTCCACAAAA CGAC</td>
</tr>
<tr>
<td valign="top" align="left">IL-8</td>
<td valign="top" align="left">TGCATCACCACGGTG AAAAA</td>
<td valign="top" align="left">GCATCAGGGTCCAGACA AATC</td>
</tr>
<tr>
<td valign="top" align="left">TGF-&#x03B2;1</td>
<td valign="top" align="left">GAGATACGGAAAAGAGTGGGG</td>
<td valign="top" align="left">TGACAAAGCGGGAAGCAAG</td>
</tr>
<tr>
<td valign="top" align="left">C4</td>
<td valign="top" align="left">TGGAGAAAAAGTTAAAG GGGC</td>
<td valign="top" align="left">CAGGAAGGAAGTATGAGC GAGT</td>
</tr>
<tr>
<td valign="top" align="left">C-lyz</td>
<td valign="top" align="left">GGAGTCTGGTGTTTCTGCTC TTTG</td>
<td valign="top" align="left">GGTGGCTCTAGTGTTGTAG TTCG</td>
</tr>
<tr>
<td valign="top" align="left">HSP70</td>
<td valign="top" align="left">TTGAGGAGGCTGCGCACAGCT TGTG</td>
<td valign="top" align="left">ACGTCCAGCAGCAGCAGG TCCT</td>
</tr>
<tr>
<td valign="top" align="left">HSP90</td>
<td valign="top" align="left">GATGAAAAGGCGTTTGAGAAAA TGAT</td>
<td valign="top" align="left">TGTTGCAGGCTTGATGTT GAGTACAC</td>
</tr>
<tr>
<td valign="top" align="left">I&#x03BA;B-&#x03B1;</td>
<td valign="top" align="left">GCTGGTGAACGGGT TTGAG</td>
<td valign="top" align="left">GAGGAAGGGGTGATTG TGTGA</td>
</tr>
<tr>
<td valign="top" align="left">MnSOD</td>
<td valign="top" align="left">AGCCAGCCTCAGCCAAACT</td>
<td valign="top" align="left">GGCGGTGACATCTCCCTTT</td>
</tr>
<tr>
<td valign="top" align="left">CAT</td>
<td valign="top" align="left">AGTTTTACACCGAGGAGGGC</td>
<td valign="top" align="left">TGTGGGTTTGGGGATTGC</td>
</tr>
<tr>
<td valign="top" align="left">Nrf2</td>
<td valign="top" align="left">TTGCCTGGACACAACTGCTG TTAC</td>
<td valign="top" align="left">TCTGTGACGGTGGCAGT GGAC</td>
</tr>
<tr>
<td valign="top" align="left">Keap1</td>
<td valign="top" align="left">CAGATAGACAGCGTGGTGA AGGC</td>
<td valign="top" align="left">GACAGTGAGACAGGTTGAA GAACTCC</td>
</tr>
<tr>
<td valign="top" align="left">HO-1</td>
<td valign="top" align="left">AGAAGATTCAGACAGCAGCAG AACAG</td>
<td valign="top" align="left">TCATACAGCGAGCACAGGA GGAG</td>
</tr>
<tr>
<td valign="top" align="left">&#x03B2;-actin</td>
<td valign="top" align="left">TACGAGCTGCCTGACGGACA</td>
<td valign="top" align="left">GCTGTGATCTCCTTCTGC</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="S2.SS10">
<title>Western Blotting</title>
<p>The protein expression level of total TOR, phospho-TOR, total ribosomal protein S6 (S6), phospho-S6, totalith phosphatase inhibitor and protease cocktails (Bimake, TX, United States) for 1 h. The protein concentrations of all the samples were measured by using the BCA protein assay kit (Beyotime, Biotechnology, China). Samples were separated by sodium dodecyl sulfate-polyacrylamide gels (SDS-PAGE) and transferred to 0.45-&#x03BC;m PVDF membranes (Millipore). After blocking with 5% non-fat milk in TBST buffer (20 mM Tris-HCl, 500 mM NaCl, 0.1% Tween-20) for 1 h, the membranes were incubated with primary antibody (Cell Signaling Technology, MA, United States and Santa Cruz Biotechnology Inc., TX, United States) overnight at 4&#x00B0;C. All of the primary antibodies have been shown to be conserved in fish species and could be used successfully (<xref ref-type="bibr" rid="B31">Song et al., 2016</xref>; <xref ref-type="bibr" rid="B39">Wang et al., 2020</xref>). Then, the membranes were incubated in horseradish peroxidase-labeled secondary antibodies for 1 h and visualized using ECL reagents (Beyotime Biotechnology, China). The Western blot result bands were quantified with NIH Image 1.63 software. All the antibodies in the present study were confirmed to be conserved and successfully used in fish species.</p>
</sec>
<sec id="S2.SS11">
<title>Calculations and Data Analysis</title>
<p>Weight gain rate (WGR,%) = 100 &#x00D7; (W<sub><italic>t</italic></sub> &#x2212; W<sub>0</sub>)/W<sub>0</sub>;</p>
<p>Specific growth rate (SGR,%/day) = 100 &#x00D7; (Ln W<sub><italic>t</italic></sub> &#x2212; Ln W<sub>0</sub>)/t; Feed efficiency ratio (FER) = (W<sub><italic>t</italic></sub> &#x2212; W<sub>0</sub>)/(dry feed intake);</p>
<p>Protein efficiency ratio (PER) = (W<sub><italic>t</italic></sub> &#x2212; W<sub>0</sub>)/(dry feed intake &#x00D7; protein percent in dry diet);</p>
<p>Feed intake (FI,% body weight/d) = 100 &#x00D7; feed fed/[days &#x00D7; (initial weight + final weight)/2]</p>
<p>Protein productive value (PPV,%) = (W<sub><italic>t</italic></sub> &#x00D7; P<sub><italic>t</italic></sub> &#x2212; W<sub>0</sub> &#x00D7; P<sub>0</sub>)/(W<sub><italic>d</italic></sub> &#x00D7; P<sub><italic>d</italic></sub>) &#x00D7; 100;</p>
<p>Survival rate (SR,%) = 100 &#x00D7; final amount of fish/initial amount of fish;</p>
<p>Protein retention (PR,%) = 100 &#x00D7; (final body weight &#x00D7; final carcass protein content &#x2212; initial body weight &#x00D7; initial carcass protein content)/protein intake;</p>
<p>Dry matter apparent digestibility (AD dry matter,%) = [1&#x2212;chromium trioxide in feed/chromium trioxide in feces] &#x00D7; 100%;</p>
<p>Apparent digestibility of protein in feed (AD for protein,%) = [1&#x2212;(chromium trioxide in diet/chromium trioxide in feces) (nutrient in feces/nutrient in diet)] &#x00D7; 100%.</p>
<p>W<sub>0</sub>, W<sub><italic>t</italic></sub>, and W<sub><italic>d</italic></sub> represent the body weight (g) of initial fish, final fish, and diet dry weight, respectively, P<sub>0</sub>, P<sub><italic>t</italic></sub>, and P<sub><italic>d</italic></sub> represent the body protein content (%) of initial fish, final fish, and diet dry matter, respectively, while t represents the rearing days of this experiment.</p>
<p>Data were expressed as means &#x00B1; SEM. All statistical evaluations were analyzed using one-way analysis of variance (ANOVA) followed by Tukey&#x2019;s multiple range test with SPSS 19.0 software. Prior to the statistical tests, data in the present study were examined for homogeneity of variances. In cases in which data were non-parametric or not homoscedastic, data transformations (such as logarithms, square roots, and reciprocals) were used to meet ANOVA criteria. Differences were considered significant when <italic>P</italic> &#x003C; 0.05.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Growth Performance, Apparent Digestibility, and Whole Body Proximate Composition</title>
<p>Growth performances were shown in <xref ref-type="table" rid="T4">Table 4</xref>. Compared with the CSM0 diet, the CSM20 diet did not significantly decrease the FBW, WGR, SGR, FER, PER, PR, AD (dry matter), or AD (protein) (<italic>P</italic> &#x003E; 0.05). However, the CSM40 and CSM60 diet groups had markedly lower levels of FBW, WGR, SGR, PPV, PR, AD (dry matter), and AD (protein) compared with the control diet group (<italic>P</italic> &#x003C; 0.05). Moreover, compared with the control diet, the CSM20 and CSM40 diets did not depress the FER, PER, or whole-body proximate crude fat composition (<italic>P</italic> &#x003E; 0.05). The CSM60 diet significantly reduced the FER, PER, and crude fat composition compared with the CSM0 diet (<italic>P</italic> &#x003C; 0.05). No significant differences in FI, SR, whole-body moisture, crude protein, or ash were found among the different treatments (<italic>P</italic> &#x003E; 0.05).</p>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>Growth performance, feed utilization, apparent digestibility, and proximate composition of whole body of golden pompano fed the different experimental diets.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td/>
<td valign="top" align="center" colspan="4">Diet groups<hr/></td>
<td valign="top" align="center"><italic>P</italic>-value</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">CSM0</td>
<td valign="top" align="center">CSM20</td>
<td valign="top" align="center">CSM40</td>
<td valign="top" align="center">CSM60</td>
<td/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">IBW (g)</td>
<td valign="top" align="center">28.38 &#x00B1; 0.04</td>
<td valign="top" align="center">28.40 &#x00B1; 0.05</td>
<td valign="top" align="center">28.45 &#x00B1; 0.02</td>
<td valign="top" align="center">28.44 &#x00B1; 0.06</td>
<td valign="top" align="center">0.70</td>
</tr>
<tr>
<td valign="top" align="left">FBW (g)</td>
<td valign="top" align="center">92.67 &#x00B1; 1.74<sup>a</sup></td>
<td valign="top" align="center">86.70 &#x00B1; 1.79<sup>ab</sup></td>
<td valign="top" align="center">85.41 &#x00B1; 0.79<sup>bc</sup></td>
<td valign="top" align="center">79.46 &#x00B1; 1.20<sup>c</sup></td>
<td valign="top" align="center">0.00</td>
</tr>
<tr>
<td valign="top" align="left">WGR (%)</td>
<td valign="top" align="center">226.56 &#x00B1; 6.61<sup>a</sup></td>
<td valign="top" align="center">205.32 &#x00B1; 6.82<sup>ab</sup></td>
<td valign="top" align="center">195.70 &#x00B1; 6.40<sup>b</sup></td>
<td valign="top" align="center">179.44 &#x00B1; 4.40<sup>b</sup></td>
<td valign="top" align="center">0.04</td>
</tr>
<tr>
<td valign="top" align="left">SGR (%/d)</td>
<td valign="top" align="center">2.82 &#x00B1; 0.05<sup>a</sup></td>
<td valign="top" align="center">2.66 &#x00B1; 0.06<sup>ab</sup></td>
<td valign="top" align="center">2.58 &#x00B1; 0.05<sup>b</sup></td>
<td valign="top" align="center">2.45 &#x00B1; 0.04<sup>b</sup></td>
<td valign="top" align="center">0.04</td>
</tr>
<tr>
<td valign="top" align="left">FER</td>
<td valign="top" align="center">0.95 &#x00B1; 0.02<sup>a</sup></td>
<td valign="top" align="center">0.90 &#x00B1; 0.02<sup>ab</sup></td>
<td valign="top" align="center">0.87 &#x00B1; 0.04<sup>ab</sup></td>
<td valign="top" align="center">0.82 &#x00B1; 0.02<sup>b</sup></td>
<td valign="top" align="center">0.03</td>
</tr>
<tr>
<td valign="top" align="left">PER</td>
<td valign="top" align="center">2.24 &#x00B1; 0.043<sup>a</sup></td>
<td valign="top" align="center">2.11 &#x00B1; 0.033<sup>ab</sup></td>
<td valign="top" align="center">2.09 &#x00B1; 0.047<sup>ab</sup></td>
<td valign="top" align="center">1.93 &#x00B1; 0.050<sup>b</sup></td>
<td valign="top" align="center">0.007</td>
</tr>
<tr>
<td valign="top" align="left">FI (% body weight/d)</td>
<td valign="top" align="center">2.96 &#x00B1; 0.025</td>
<td valign="top" align="center">2.98 &#x00B1; 0.03</td>
<td valign="top" align="center">3.02 &#x00B1; 0.08</td>
<td valign="top" align="center">3.06 &#x00B1; 0.04</td>
<td valign="top" align="center">0.08</td>
</tr>
<tr>
<td valign="top" align="left">PPV (%)</td>
<td valign="top" align="center">43.41 &#x00B1; 0.10<sup>a</sup></td>
<td valign="top" align="center">41.45 &#x00B1; 0.01<sup>b</sup></td>
<td valign="top" align="center">40.33 &#x00B1; 0.03<sup>c</sup></td>
<td valign="top" align="center">38.19 &#x00B1; 0.23<italic><sup>d</sup></italic></td>
<td valign="top" align="center">0.00</td>
</tr>
<tr>
<td valign="top" align="left">SR (%)</td>
<td valign="top" align="center">99.0 &#x00B1; 1.00</td>
<td valign="top" align="center">99.0 &#x00B1; 1.00</td>
<td valign="top" align="center">100.0 &#x00B1; 0.00</td>
<td valign="top" align="center">99.0 &#x00B1; 1.00</td>
<td valign="top" align="center">0.36</td>
</tr>
<tr>
<td valign="top" align="left">PR (%)</td>
<td valign="top" align="center">39.68 &#x00B1; 0.74<sup>a</sup></td>
<td valign="top" align="center">37.80 &#x00B1; 0.49<sup>ab</sup></td>
<td valign="top" align="center">36.06 &#x00B1; 0.33<sup>bc</sup></td>
<td valign="top" align="center">35.23 &#x00B1; 0.28<sup>c</sup></td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">AD (Dry mater)</td>
<td valign="top" align="center">84.47 &#x00B1; 2.78<sup>a</sup></td>
<td valign="top" align="center">78.09 &#x00B1; 3.87<sup>ab</sup></td>
<td valign="top" align="center">55.07 &#x00B1; 8.78<sup>bc</sup></td>
<td valign="top" align="center">47.80 &#x00B1; 6.24<sup>c</sup></td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td valign="top" align="left">AD (Protein)</td>
<td valign="top" align="center">92.35 &#x00B1; 1.48<sup>a</sup></td>
<td valign="top" align="center">88.94 &#x00B1; 1.98<sup>ab</sup></td>
<td valign="top" align="center">79.53 &#x00B1; 4.17<sup>b</sup></td>
<td valign="top" align="center">76.80 &#x00B1; 2.59<sup>b</sup></td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" colspan="6"><hr/></td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Proximate composition of whole body (wet weight%)</bold></td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" colspan="6"><hr/></td>
</tr>
<tr>
<td valign="top" align="left">Moisture</td>
<td valign="top" align="center">62.3 &#x00B1; 0.54</td>
<td valign="top" align="center">62.7 &#x00B1; 0.85</td>
<td valign="top" align="center">63.2 &#x00B1; 0.24</td>
<td valign="top" align="center">63.5 &#x00B1; 0.12</td>
<td valign="top" align="center">0.44</td>
</tr>
<tr>
<td valign="top" align="left">CP</td>
<td valign="top" align="center">18.2 &#x00B1; 0.076</td>
<td valign="top" align="center">18.2 &#x00B1; 0.21</td>
<td valign="top" align="center">17.6 &#x00B1; 0.11</td>
<td valign="top" align="center">18.0 &#x00B1; 0.19</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td valign="top" align="left">CF</td>
<td valign="top" align="center">15.1 &#x00B1; 0.37<sup>a</sup></td>
<td valign="top" align="center">14.5 &#x00B1; 0.17<sup>ab</sup></td>
<td valign="top" align="center">14.3 &#x00B1; 0.05<sup>ab</sup></td>
<td valign="top" align="center">13.6 &#x00B1; 0.17<sup>b</sup></td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">Ash</td>
<td valign="top" align="center">3.99 &#x00B1; 0.086</td>
<td valign="top" align="center">3.93 &#x00B1; 0.10</td>
<td valign="top" align="center">4.08 &#x00B1; 0.10</td>
<td valign="top" align="center">3.98 &#x00B1; 0.17</td>
<td valign="top" align="center">0.84</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>Data were expressed as means &#x00B1; SEM (n = 3). Means &#x00B1; SEM within the same row with the different superscript letters have significant difference among groups (P &#x003C; 0.05).</italic></p></fn>
<fn><p><italic>IBW, initial body weight; FBW, final body weight; WGR, weight gain rate; SGR, specific growth rate; FER, feed efficiency ratio; PER, protein efficiency ratio; FI, feed intake; PPV, protein productive value; SR, survival rate; PR, protein retention; AD (Dry matter), dry matter apparent digestibility; AD (Protein), apparent digestibility of protein in feed; CP, crude protein; CF, crude fat.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS2">
<title>Plasma Biochemical Index</title>
<p>At the end of the feeding trial, the effects of replacing FM with CSM on the plasma nutrient content were shown in <xref ref-type="table" rid="T5">Table 5</xref>. The CSM20 diet had no effect on decreasing the content of plasma TP, CHOL, and HDL compared with the CSM0 diet (<italic>P</italic> &#x003E; 0.05). In contrast, the CSM20 diet elevated plasma GLU compared with the control diet (<italic>P</italic> &#x003C; 0.05). However, the CSM40 diet group had lower plasma level of GLU, TP, TG, CHOL, and HLD, and the CSM60 diet group had lower plasma level of TP, TG, and HLD compared with the CSM0 diet group (<italic>P</italic> &#x003C; 0.05).</p>
<table-wrap position="float" id="T5">
<label>TABLE 5</label>
<caption><p>Plasma biochemical index of golden pompano fed different experimental diets for 6 weeks.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td/>
<td valign="top" align="center" colspan="4">Diet groups<hr/></td>
<td valign="top" align="center"><italic>P</italic>-value</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">CSM0</td>
<td valign="top" align="center">CSM20</td>
<td valign="top" align="center">CSM40</td>
<td valign="top" align="center">CSM60</td>
<td/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">GLU(mmol/L)</td>
<td valign="top" align="center">12.31 &#x00B1; 0.040<sup>b</sup></td>
<td valign="top" align="center">13.75 &#x00B1; 0.13<sup>a</sup></td>
<td valign="top" align="center">10.15 &#x00B1; 0.69<sup>c</sup></td>
<td valign="top" align="center">12.11 &#x00B1; 0.23<sup>b</sup></td>
<td valign="top" align="center">0.000</td>
</tr>
<tr>
<td valign="top" align="left">TP (g/L)</td>
<td valign="top" align="center">42.30 &#x00B1; 0.17<sup>a</sup></td>
<td valign="top" align="center">40.57 &#x00B1; 0.60<sup>ab</sup></td>
<td valign="top" align="center">37.87 &#x00B1; 0.080<sup>c</sup></td>
<td valign="top" align="center">39.40 &#x00B1; 0.85<sup>bc</sup></td>
<td valign="top" align="center">0.000</td>
</tr>
<tr>
<td valign="top" align="left">TG (mmol/L)</td>
<td valign="top" align="center">9.66 &#x00B1; 0.23<sup>a</sup></td>
<td valign="top" align="center">8.27 &#x00B1; 0.19<sup>b</sup></td>
<td valign="top" align="center">6.90 &#x00B1; 0.040<sup>c</sup></td>
<td valign="top" align="center">7.46 &#x00B1; 0.16<sup>c</sup></td>
<td valign="top" align="center">0.000</td>
</tr>
<tr>
<td valign="top" align="left">CHOL (mmol/L)</td>
<td valign="top" align="center">6.50 &#x00B1; 0.16<sup>a</sup></td>
<td valign="top" align="center">6.33 &#x00B1; 0.13<sup>a</sup></td>
<td valign="top" align="center">5.57 &#x00B1; 0.010<sup>b</sup></td>
<td valign="top" align="center">5.96 &#x00B1; 0.13<sup>ab</sup></td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">HDL (mmol/L)</td>
<td valign="top" align="center">2.94 &#x00B1; 0.060<sup>a</sup></td>
<td valign="top" align="center">2.98 &#x00B1; 0.040<sup>a</sup></td>
<td valign="top" align="center">2.75 &#x00B1; 0.020<sup>b</sup></td>
<td valign="top" align="center">2.67 &#x00B1; 0.040<sup>b</sup></td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">LDL (mmol/L)</td>
<td valign="top" align="center">0.87 &#x00B1; 0.00<sup>c</sup></td>
<td valign="top" align="center">1.02 &#x00B1; 0.010<sup>b</sup></td>
<td valign="top" align="center">1.06 &#x00B1; 0.00<sup>a</sup></td>
<td valign="top" align="center">1.02 &#x00B1; 0.010<sup>b</sup></td>
<td valign="top" align="center">0.000</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>Data were expressed as means &#x00B1; SEM (n = 6). Means &#x00B1; SEM within the same row with the different superscript letters have significant difference among groups (P &#x003C; 0.05).</italic></p></fn>
<fn><p><italic>GLU, total glucose; TP, total protein; TG, triglycerides; CHOL, total cholesterol; HDL, high-density lipoprotein; LDL, low density lipoprotein.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS3">
<title>The Plasma and Liver Enzyme Activities</title>
<p>The activities of markers indicating liver damage in plasma and liver were shown in <xref ref-type="table" rid="T6">Table 6</xref>. The activities of AST, ALT, ALP, and LDH were markedly increased in the liver with increasing CSM replacement in diets among groups (<italic>P</italic> &#x003C; 0.05). Only 20% CSM replacing FM could markedly improve the activity of these four enzymes (<italic>P</italic> &#x003C; 0.05). In plasma, the CSM20 diet group had no significant difference in the enzyme activities of ALT and ALP in the plasma compared with the CSM0 diet group (<italic>P</italic> &#x003E; 0.05). Moreover, compared with the CSM0 diet, the CSM40 and CSM60 diets significantly elevated the activity of AST and inhibited the activity of ALP (<italic>P</italic> &#x003C; 0.05). There was no significant difference in LDH activity among the different groups (<italic>P</italic> &#x003E; 0.05).</p>
<table-wrap position="float" id="T6">
<label>TABLE 6</label>
<caption><p>The enzymes activities of golden pompano feed different experimental diets in the plasma and liver.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td/>
<td valign="top" align="center" colspan="4">Diet groups<hr/></td>
<td valign="top" align="center"><italic>P</italic>-value</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">CSM0</td>
<td valign="top" align="center">CSM20</td>
<td valign="top" align="center">CSM40</td>
<td valign="top" align="center">CSM60</td>
<td/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="3"><bold>Liver</bold></td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" colspan="6"><hr/></td>
</tr>
<tr>
<td valign="top" align="left">AST(U/g)</td>
<td valign="top" align="center">2039.95 &#x00B1; 6.55<italic><sup>d</sup></italic></td>
<td valign="top" align="center">2420.81 &#x00B1; 0.89<sup>c</sup></td>
<td valign="top" align="center">2587.73 &#x00B1; 3.51<sup>b</sup></td>
<td valign="top" align="center">2728.93 &#x00B1; 3.24<sup>a</sup></td>
<td valign="top" align="center">0.00</td>
</tr>
<tr>
<td valign="top" align="left">ALT(U/g)</td>
<td valign="top" align="center">297.87 &#x00B1; 1.55<italic><sup>d</sup></italic></td>
<td valign="top" align="center">362.26 &#x00B1; 1.48<sup>c</sup></td>
<td valign="top" align="center">423.39 &#x00B1; 1.53<sup>a</sup></td>
<td valign="top" align="center">394.50 &#x00B1; 0.87<sup>b</sup></td>
<td valign="top" align="center">0.00</td>
</tr>
<tr>
<td valign="top" align="left">ALP(U/g)</td>
<td valign="top" align="center">58.87 &#x00B1; 0.22<sup>c</sup></td>
<td valign="top" align="center">65.22 &#x00B1; 0.30<sup>b</sup></td>
<td valign="top" align="center">72.49 &#x00B1; 0.30<sup>a</sup></td>
<td valign="top" align="center">72.44 &#x00B1; 0.50<sup>a</sup></td>
<td valign="top" align="center">0.00</td>
</tr>
<tr>
<td valign="top" align="left">LDH(U/g)</td>
<td valign="top" align="center">75.46 &#x00B1; 0.44<sup>b</sup></td>
<td valign="top" align="center">96.94 &#x00B1; 0.51<sup>a</sup></td>
<td valign="top" align="center">104.84 &#x00B1; 4.3<sup>a</sup></td>
<td valign="top" align="center">97.461 &#x00B1; 0.29<sup>a</sup></td>
<td valign="top" align="center">0.00</td>
</tr>
<tr>
<td valign="top" colspan="6"><hr/></td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Plasma</bold></td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" colspan="6"><hr/></td>
</tr>
<tr>
<td valign="top" align="left">AST (U/L)</td>
<td valign="top" align="center">46.00 &#x00B1; 0.00<sup>c</sup></td>
<td valign="top" align="center">40.67 &#x00B1; 0.33<italic><sup>d</sup></italic></td>
<td valign="top" align="center">54.67 &#x00B1; 0.33<sup>a</sup></td>
<td valign="top" align="center">50.00 &#x00B1; 0.00<sup>b</sup></td>
<td valign="top" align="center">0.00</td>
</tr>
<tr>
<td valign="top" align="left">ALT (U/L)</td>
<td valign="top" align="center">4.67 &#x00B1; 0.33<sup>b</sup></td>
<td valign="top" align="center">5.00 &#x00B1; 0.00<sup>b</sup></td>
<td valign="top" align="center">5.00 &#x00B1; 0.00<sup>b</sup></td>
<td valign="top" align="center">7.00 &#x00B1; 0.00<sup>a</sup></td>
<td valign="top" align="center">0.00</td>
</tr>
<tr>
<td valign="top" align="left">ALP (U/L)</td>
<td valign="top" align="center">51.67 &#x00B1; 0.33<sup>a</sup></td>
<td valign="top" align="center">51.33 &#x00B1; 0.33<sup>a</sup></td>
<td valign="top" align="center">46.00 &#x00B1; 0.00<sup>c</sup></td>
<td valign="top" align="center">49.33 &#x00B1; 0.67<sup>b</sup></td>
<td valign="top" align="center">0.00</td>
</tr>
<tr>
<td valign="top" align="left">LDH (U/L)</td>
<td valign="top" align="center">187.67 &#x00B1; 17.23</td>
<td valign="top" align="center">164.00 &#x00B1; 1.15</td>
<td valign="top" align="center">234.33 &#x00B1; 30.67</td>
<td valign="top" align="center">189.33 &#x00B1; 6.84</td>
<td valign="top" align="center">0.12</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>Data were expressed as means &#x00B1; SEM (n = 6).</italic></p></fn>
<fn><p><italic>Means &#x00B1; SEM within the same row with the different superscript letters have significant difference among groups (P &#x003C; 0.05).</italic></p></fn>
<fn><p><italic>AST, aspartate aminotransferase; ALT, alanine aminotransferase; ALP, alkaline phosphatase; LDH, lactate dehydrogenase.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS4">
<title>Plasma Free Amino Acid Profile</title>
<p>The free AA profiles in plasma after fish were fed with different diets were shown in <xref ref-type="table" rid="T7">Table 7</xref>. Both the CSM20 and CSM40 diets had no effect on altering all the individual EAAs and total EAA in plasma (<italic>P</italic> &#x003E; 0.05). However, compared with the control diet, the CSM60 diet significantly decreased the concentrations of valine, isoleucine, leucine, arginine, and EAA in plasma (<italic>P</italic> &#x003C; 0.05). Furthermore, the CSM40 and CSM60 diets also had no significant difference in changing the concentrations of alanine and tyrosine compared with the control diet (<italic>P</italic> &#x003E; 0.05). No significant difference was detected in other AAs among the four different treatments (<italic>P</italic> &#x003E; 0.05).</p>
<table-wrap position="float" id="T7">
<label>TABLE 7</label>
<caption><p>The free amino acids concentration after golden pompano feed with different diets in the plasma (&#x03BC;g/ml).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td/>
<td valign="top" align="center" colspan="4">Diet groups<hr/></td>
<td valign="top" align="center"><italic>P</italic>-value</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">CSM0</td>
<td valign="top" align="center">CSM20</td>
<td valign="top" align="center">CSM40</td>
<td valign="top" align="center">CSM60</td>
<td/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Met</td>
<td valign="top" align="center">24.71 &#x00B1; 0.82</td>
<td valign="top" align="center">27.18 &#x00B1; 1.02</td>
<td valign="top" align="center">24.85 &#x00B1; 0.76</td>
<td valign="top" align="center">25.44 &#x00B1; 0.41</td>
<td valign="top" align="center">0.18</td>
</tr>
<tr>
<td valign="top" align="left">Phe</td>
<td valign="top" align="center">22.61 &#x00B1; 1.06</td>
<td valign="top" align="center">19.05 &#x00B1; 0.86</td>
<td valign="top" align="center">21.52 &#x00B1; 0.97</td>
<td valign="top" align="center">20.84 &#x00B1; 0.76</td>
<td valign="top" align="center">0.12</td>
</tr>
<tr>
<td valign="top" align="left">Val</td>
<td valign="top" align="center">136.59 &#x00B1; 4.51<sup>a</sup></td>
<td valign="top" align="center">116.59 &#x00B1; 6.06<sup>ab</sup></td>
<td valign="top" align="center">120.04 &#x00B1; 8.84<sup>ab</sup></td>
<td valign="top" align="center">99.4 &#x00B1; 3.32<sup>b</sup></td>
<td valign="top" align="center">0.02</td>
</tr>
<tr>
<td valign="top" align="left">Ile</td>
<td valign="top" align="center">90.87 &#x00B1; 3.94<sup>a</sup></td>
<td valign="top" align="center">75.55 &#x00B1; 4.28<sup>ab</sup></td>
<td valign="top" align="center">77.40 &#x00B1; 7.23<sup>ab</sup></td>
<td valign="top" align="center">64.10 &#x00B1; 3.07<sup>b</sup></td>
<td valign="top" align="center">0.03</td>
</tr>
<tr>
<td valign="top" align="left">Leu</td>
<td valign="top" align="center">155.50 &#x00B1; 7.26<sup>a</sup></td>
<td valign="top" align="center">127.01 &#x00B1; 6.96<sup>ab</sup></td>
<td valign="top" align="center">132.74 &#x00B1; 13.41<sup>ab</sup></td>
<td valign="top" align="center">113.02 &#x00B1; 4.23<sup>b</sup></td>
<td valign="top" align="center">0.05</td>
</tr>
<tr>
<td valign="top" align="left">Thr</td>
<td valign="top" align="center">44.63 &#x00B1; 2.01</td>
<td valign="top" align="center">50.09 &#x00B1; 4.07</td>
<td valign="top" align="center">54.56 &#x00B1; 2.47</td>
<td valign="top" align="center">46.91 &#x00B1; 1.59</td>
<td valign="top" align="center">0.12</td>
</tr>
<tr>
<td valign="top" align="left">Lys</td>
<td valign="top" align="center">263.15 &#x00B1; 25.28</td>
<td valign="top" align="center">222.67 &#x00B1; 14.77</td>
<td valign="top" align="center">226.58 &#x00B1; 16.14</td>
<td valign="top" align="center">210.76 &#x00B1; 12.62</td>
<td valign="top" align="center">0.25</td>
</tr>
<tr>
<td valign="top" align="left">His</td>
<td valign="top" align="center">10.46 &#x00B1; 0.22</td>
<td valign="top" align="center">10.78 &#x00B1; 0.13</td>
<td valign="top" align="center">10.26 &#x00B1; 0.25</td>
<td valign="top" align="center">10.62 &#x00B1; 0.083</td>
<td valign="top" align="center">0.31</td>
</tr>
<tr>
<td valign="top" align="left">Arg</td>
<td valign="top" align="center">82.88 &#x00B1; 6.50<sup>a</sup></td>
<td valign="top" align="center">72.62 &#x00B1; 2.39<sup>ab</sup></td>
<td valign="top" align="center">71.18 &#x00B1; 1.77<sup>ab</sup></td>
<td valign="top" align="center">62.06 &#x00B1; 2.34<sup>b</sup></td>
<td valign="top" align="center">0.03</td>
</tr>
<tr>
<td valign="top" align="left">EAA</td>
<td valign="top" align="center">831.40 &#x00B1; 12.88<sup>a</sup></td>
<td valign="top" align="center">721.53 &#x00B1; 37.34<sup>ab</sup></td>
<td valign="top" align="center">755.09 &#x00B1; 19.84<sup>ab</sup></td>
<td valign="top" align="center">644.21 &#x00B1; 26.79<sup>b</sup></td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">Glu</td>
<td valign="top" align="center">44.70 &#x00B1; 5.24</td>
<td valign="top" align="center">38.93 &#x00B1; 5.19</td>
<td valign="top" align="center">37.47 &#x00B1; 4.53</td>
<td valign="top" align="center">43.65 &#x00B1; 4.13</td>
<td valign="top" align="center">0.67</td>
</tr>
<tr>
<td valign="top" align="left">Gly</td>
<td valign="top" align="center">72.47 &#x00B1; 2.14</td>
<td valign="top" align="center">69.60 &#x00B1; 1.95</td>
<td valign="top" align="center">70.26 &#x00B1; 0.96</td>
<td valign="top" align="center">75.77 &#x00B1; 0.45</td>
<td valign="top" align="center">0.13</td>
</tr>
<tr>
<td valign="top" align="left">Ala</td>
<td valign="top" align="center">88.71 &#x00B1; 3.68<sup>a</sup></td>
<td valign="top" align="center">78.91 &#x00B1; 0.46<sup>b</sup></td>
<td valign="top" align="center">88.19 &#x00B1; 0.54<sup>ab</sup></td>
<td valign="top" align="center">95.37 &#x00B1; 2.02<sup>a</sup></td>
<td valign="top" align="center">0.00</td>
</tr>
<tr>
<td valign="top" align="left">Cys</td>
<td valign="top" align="center">1.83 &#x00B1; 0.56</td>
<td valign="top" align="center">1.43 &#x00B1; 0.23</td>
<td valign="top" align="center">1.54 &#x00B1; 0.45</td>
<td valign="top" align="center">1.33 &#x00B1; 0.43</td>
<td valign="top" align="center">0.87</td>
</tr>
<tr>
<td valign="top" align="left">Tyr</td>
<td valign="top" align="center">18.66 &#x00B1; 0.39<sup>a</sup></td>
<td valign="top" align="center">15.99 &#x00B1; 0.39<sup>b</sup></td>
<td valign="top" align="center">19.36 &#x00B1; 0.59<sup>a</sup></td>
<td valign="top" align="center">18.84 &#x00B1; 0.23<sup>a</sup></td>
<td valign="top" align="center">0.00</td>
</tr>
<tr>
<td valign="top" align="left">Ser</td>
<td valign="top" align="center">28.36 &#x00B1; 0.30</td>
<td valign="top" align="center">27.85 &#x00B1; 0.75</td>
<td valign="top" align="center">28.21 &#x00B1; 0.94</td>
<td valign="top" align="center">31.16 &#x00B1; 1.29</td>
<td valign="top" align="center">0.10</td>
</tr>
<tr>
<td valign="top" align="left">Tau</td>
<td valign="top" align="center">75.98 &#x00B1; 2.17</td>
<td valign="top" align="center">81.29 &#x00B1; 7.12</td>
<td valign="top" align="center">75.53 &#x00B1; 0.62</td>
<td valign="top" align="center">83.52 &#x00B1; 1.44</td>
<td valign="top" align="center">0.41</td>
</tr>
<tr>
<td valign="top" align="left">NEAA</td>
<td valign="top" align="center">318.46 &#x00B1; 9.97</td>
<td valign="top" align="center">313.56 &#x00B1; 5.60</td>
<td valign="top" align="center">320.56 &#x00B1; 5.08</td>
<td valign="top" align="center">349.65 &#x00B1; 8.64</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td valign="top" align="left">TAA</td>
<td valign="top" align="center">1136.02 &#x00B1; 51.75</td>
<td valign="top" align="center">1035.00 &#x00B1; 31.76</td>
<td valign="top" align="center">1075.00 &#x00B1; 18.25</td>
<td valign="top" align="center">993.86 &#x00B1; 35.42</td>
<td valign="top" align="center">0.13</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>Data were expressed as means &#x00B1; SEM (n = 6). Means &#x00B1; SEM within the same row with the different superscript letters have significant difference among groups (P &#x003C; 0.05).</italic></p></fn>
<fn><p><italic>EAA, total essential AA; NEAA, total non-essential AA; TAA, total AA.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS5">
<title>Whole Body Fatty Acid Profile</title>
<p>The changes in the whole body fatty acid profile after fish were fed with different diets were presented in <xref ref-type="table" rid="T8">Table 8</xref>. Compared with the control diet, the CSM20 diet had no significant difference in any of body fatty acid contents detected in the present study (<italic>P</italic> &#x003E; 0.05). Compared with the fish fed with the CSM0 diets, fish fed with the 60% CSM replacement diets exhibited notably reduced whole body C18:2 and &#x03A3;n-6 PUFA contents (<italic>P</italic> &#x003C; 0.05). The CSM40 and CSM60 diets also significantly decreased the whole body content of C18:3n-3, DHA (C22:6n-3), &#x03A3;n-3 PUFA, &#x03A3;n-3 HUFA, and &#x03A3;n-3/&#x03A3;n-6 compared with the control diet (<italic>P</italic> &#x003C; 0.05). No significant effect was observed in the whole body C20:4n-6, C20:3n-6, EPA, and DHA/EPA among the different CSM gradient replacement diets (<italic>P</italic> &#x003E; 0.05). Furthermore, CSM gradient replacements also had no significant effect on altering the whole body contents of individual and total saturated fatty acids (SFA) and monounsaturated fatty acids (MUFA) (<italic>P</italic> &#x003E; 0.05).</p>
<table-wrap position="float" id="T8">
<label>TABLE 8</label>
<caption><p>Whole body fatty acids content (% total fatty acids).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td/>
<td valign="top" align="center" colspan="4">Diet groups<hr/></td>
<td valign="top" align="center"><italic>P</italic>-value</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">CSM0</td>
<td valign="top" align="center">CSM20</td>
<td valign="top" align="center">CSM40</td>
<td valign="top" align="center">CSM60</td>
<td/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">C14:0</td>
<td valign="top" align="center">1.61 &#x00B1; 0.04</td>
<td valign="top" align="center">1.48 &#x00B1; 0.04</td>
<td valign="top" align="center">1.59 &#x00B1; 0.04</td>
<td valign="top" align="center">1.53 &#x00B1; 0.06</td>
<td valign="top" align="center">0.26</td>
</tr>
<tr>
<td valign="top" align="left">C16:0</td>
<td valign="top" align="center">24.40 &#x00B1; 0.20</td>
<td valign="top" align="center">24.80 &#x00B1; 0.35</td>
<td valign="top" align="center">25.27 &#x00B1; 0.44</td>
<td valign="top" align="center">24.23 &#x00B1; 0.32</td>
<td valign="top" align="center">0.21</td>
</tr>
<tr>
<td valign="top" align="left">C18:0</td>
<td valign="top" align="center">6.73 &#x00B1; 0.16</td>
<td valign="top" align="center">7.01 &#x00B1; 0.18</td>
<td valign="top" align="center">6.75 &#x00B1; 0.32</td>
<td valign="top" align="center">6.25 &#x00B1; 0.17</td>
<td valign="top" align="center">0.18</td>
</tr>
<tr>
<td valign="top" align="left">C20:0</td>
<td valign="top" align="center">0.40 &#x00B1; 0.02</td>
<td valign="top" align="center">0.39 &#x00B1; 0.01</td>
<td valign="top" align="center">0.39 &#x00B1; 0.02</td>
<td valign="top" align="center">0.38 &#x00B1; 0.03</td>
<td valign="top" align="center">0.92</td>
</tr>
<tr>
<td valign="top" align="left">&#x03A3;SFA</td>
<td valign="top" align="center">33.14 &#x00B1; 0.36</td>
<td valign="top" align="center">33.68 &#x00B1; 0.57</td>
<td valign="top" align="center">34.00 &#x00B1; 0.39</td>
<td valign="top" align="center">32.40 &#x00B1; 0.55</td>
<td valign="top" align="center">0.17</td>
</tr>
<tr>
<td valign="top" align="left">C16:1</td>
<td valign="top" align="center">1.83 &#x00B1; 0.04</td>
<td valign="top" align="center">1.67 &#x00B1; 0.03</td>
<td valign="top" align="center">1.75 &#x00B1; 0.02</td>
<td valign="top" align="center">1.76 &#x00B1; 0.05</td>
<td valign="top" align="center">0.08</td>
</tr>
<tr>
<td valign="top" align="left">C18:1</td>
<td valign="top" align="center">27.30 &#x00B1; 0.32</td>
<td valign="top" align="center">26.87 &#x00B1; 0.43</td>
<td valign="top" align="center">27.23 &#x00B1; 0.50</td>
<td valign="top" align="center">27.07 &#x00B1; 0.44</td>
<td valign="top" align="center">0.89</td>
</tr>
<tr>
<td valign="top" align="left">C20:1</td>
<td valign="top" align="center">1.69 &#x00B1; 0.05</td>
<td valign="top" align="center">1.66 &#x00B1; 0.04</td>
<td valign="top" align="center">1.60 &#x00B1; 0.03</td>
<td valign="top" align="center">1.56 &#x00B1; 0.06</td>
<td valign="top" align="center">0.24</td>
</tr>
<tr>
<td valign="top" align="left">&#x03A3;MUFA</td>
<td valign="top" align="center">30.82 &#x00B1; 0.34</td>
<td valign="top" align="center">30.20 &#x00B1; 0.44</td>
<td valign="top" align="center">30.58 &#x00B1; 0.55</td>
<td valign="top" align="center">30.39 &#x00B1; 0.50</td>
<td valign="top" align="center">0.80</td>
</tr>
<tr>
<td valign="top" align="left">C18:2</td>
<td valign="top" align="center">23.17 &#x00B1; 0.22<sup>a</sup></td>
<td valign="top" align="center">22.40 &#x00B1; 0.17<sup>a</sup></td>
<td valign="top" align="center">21.63 &#x00B1; 0.61<sup>ab</sup></td>
<td valign="top" align="center">20.33 &#x00B1; 0.47<sup>b</sup></td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">C20:4n-6</td>
<td valign="top" align="center">0.16 &#x00B1; 0.002</td>
<td valign="top" align="center">0.13 &#x00B1; 0.004</td>
<td valign="top" align="center">0.14 &#x00B1; 0.007</td>
<td valign="top" align="center">0.13 &#x00B1; 0.02</td>
<td valign="top" align="center">0.23</td>
</tr>
<tr>
<td valign="top" align="left">C20:3n-6</td>
<td valign="top" align="center">0.15 &#x00B1; 0.004</td>
<td valign="top" align="center">0.16 &#x00B1; 0.003</td>
<td valign="top" align="center">0.14 &#x00B1; 0.01</td>
<td valign="top" align="center">0.13 &#x00B1; 0.02</td>
<td valign="top" align="center">0.36</td>
</tr>
<tr>
<td valign="top" align="left">&#x03A3;n-6 PUFA</td>
<td valign="top" align="center">23.47 &#x00B1; 0.22<sup>a</sup></td>
<td valign="top" align="center">22.69 &#x00B1; 0.17<sup>a</sup></td>
<td valign="top" align="center">21.91 &#x00B1; 0.63<sup>ab</sup></td>
<td valign="top" align="center">20.60 &#x00B1; 0.48<sup>b</sup></td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">C18:3n-3</td>
<td valign="top" align="center">1.97 &#x00B1; 0.03<sup>a</sup></td>
<td valign="top" align="center">1.81 &#x00B1; 0.07<sup>a</sup></td>
<td valign="top" align="center">1.60 &#x00B1; 0.03<sup>b</sup></td>
<td valign="top" align="center">1.35 &#x00B1; 0.04<sup>c</sup></td>
<td valign="top" align="center">0.00</td>
</tr>
<tr>
<td valign="top" align="left">EPA (C20:5n-3)</td>
<td valign="top" align="center">0.20 &#x00B1; 0.02</td>
<td valign="top" align="center">0.18 &#x00B1; 0.004</td>
<td valign="top" align="center">0.16 &#x00B1; 0.02</td>
<td valign="top" align="center">0.13 &#x00B1; 0.02</td>
<td valign="top" align="center">0.09</td>
</tr>
<tr>
<td valign="top" align="left">DHA (C22:6n-3)</td>
<td valign="top" align="center">1.50 &#x00B1; 0.08<sup>a</sup></td>
<td valign="top" align="center">1.59 &#x00B1; 0.03<sup>a</sup></td>
<td valign="top" align="center">1.10 &#x00B1; 0.04<sup>b</sup></td>
<td valign="top" align="center">0.77 &#x00B1; 0.07<sup>c</sup></td>
<td valign="top" align="center">0.00</td>
</tr>
<tr>
<td valign="top" align="left">&#x03A3;n-3 PUFA</td>
<td valign="top" align="center">3.66 &#x00B1; 0.10<sup>a</sup></td>
<td valign="top" align="center">3.58 &#x00B1; 0.05<sup>a</sup></td>
<td valign="top" align="center">2.85 &#x00B1; 0.05<sup>b</sup></td>
<td valign="top" align="center">2.24 &#x00B1; 0.09<sup>c</sup></td>
<td valign="top" align="center">0.00</td>
</tr>
<tr>
<td valign="top" align="left">&#x03A3;n-3 HUFA</td>
<td valign="top" align="center">1.70 &#x00B1; 0.09<sup>a</sup></td>
<td valign="top" align="center">1.77 &#x00B1; 0.02<sup>a</sup></td>
<td valign="top" align="center">1.26 &#x00B1; 0.05<sup>b</sup></td>
<td valign="top" align="center">0.90 &#x00B1; 0.08<sup>c</sup></td>
<td valign="top" align="center">0.00</td>
</tr>
<tr>
<td valign="top" align="left">&#x03A3;n-3/&#x03A3;n-6</td>
<td valign="top" align="center">0.16 &#x00B1; 0.005<sup>a</sup></td>
<td valign="top" align="center">0.16 &#x00B1; 0.003<sup>a</sup></td>
<td valign="top" align="center">0.13 &#x00B1; 0.002<sup>b</sup></td>
<td valign="top" align="center">0.11 &#x00B1; 0.002<sup>c</sup></td>
<td valign="top" align="center">0.00</td>
</tr>
<tr>
<td valign="top" align="left">DHA/EPA</td>
<td valign="top" align="center">7.50 &#x00B1; 0.27</td>
<td valign="top" align="center">8.68 &#x00B1; 0.32</td>
<td valign="top" align="center">7.05 &#x00B1; 0.66</td>
<td valign="top" align="center">6.31 &#x00B1; 1.03</td>
<td valign="top" align="center">0.15</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>Data were expressed as means &#x00B1; SEM (n = 3). Means &#x00B1; SEM within the same row with the different superscript letters have significant difference among groups (P &#x003C; 0.05).</italic></p></fn>
<fn><p><italic>&#x03A3;SFA: sum of C14:0, C16:0 and C18:0; &#x03A3;MUFA: sum of C16:1, C18:1 and C20:1; &#x03A3;n-6 PUFA: sum of C18:2n-6 and C18:4n-6; &#x03A3;n-3 PUFA: sum of C18:3n-3, C20:5 and C22:6. &#x03A3;n-3/&#x03A3;n-6:&#x03A3;n-3 PUFA/&#x03A3; n-6 PUFA.</italic></p></fn>
<fn><p><italic>SFA, saturated fatty acids; MUFA, mono-unsaturated fatty acids; n-6 PUFA, n-6 poly-unsaturated fatty acids; n-3 PUFA, n-3 poly-unsaturated fatty acid.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS6">
<title>Regulations of the Nutrient Sensing Signaling Pathways</title>
<p>Gene and protein phosphorylation levels of the key regulators involved in nutrient sensing signaling pathways in the liver after fish were fed different diets are presented in <xref ref-type="fig" rid="F1">Figure 1</xref>. Compared with golden pompano fed with CSM0 diet, golden pompano fed with the CSM20 diet did not change the mRNA expression levels of TOR, S6, and 4EBP1 (<italic>P</italic> &#x003E; 0.05). The CSM60 diet significantly reduced the gene expression level of TOR and S6 compared with the control diet (<italic>P</italic> &#x003C; 0.05). On the other hand, CSM substitution markedly promoted the gene expression of eIF2&#x03B1; and REDD1 in the liver (<italic>P</italic> &#x003C; 0.05). The CSM20 diet had no effect on altering the mRNA expression levels of ATF4 and CHOP compared with the control diet (<italic>P</italic> &#x003E; 0.05). However, both the CSM40 and CSM60 diets increased the mRNA expression of ATF4 and CHOP in the liver (<italic>P</italic> &#x003C; 0.05). Moreover, the CSM20 and CSM40 diets also had no effect in changing the protein phosphorylation levels of TOR and S6 compared with the CSM0 diet (<italic>P</italic> &#x003E; 0.05). Conversely, the CSM60 diet decreased the protein phosphorylation level of S6 and increased the protein phosphorylation level of eIF2&#x03B1; than the control diet (<italic>P</italic> &#x003C; 0.05).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>The mRNA and protein phosphorylation level of key regulators in nutrient sensing signaling pathways <bold>(A)</bold> mRNA expression level of TOR signaling pathways. <bold>(B)</bold> mRNA expression level of AAR signaling pathway. <bold>(C)</bold> Protein phosphorylation level of TOR and AAR signaling pathways. In liver after juvenile golden pompano (<italic>Trachinotus ovatus</italic>) fed with CSM0, CSM20, CSM40, and CSM60 diets, respectively. Values with different superscripted small letters mean significant difference (<italic>P</italic> &#x003C; 0.05). TOR, target of rapamycin; S6, S6 Ribosomal Protein; 4EBP1, 4 E-binding protein 1; eIF2&#x03B1;, initiation elongation factor alpha; ATF4, activating transcription factor 4; CHOP, channelopsin 2; REDD1, regulated in development and DNA damage responses 1.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-08-775575-g001.tif"/>
</fig>
</sec>
<sec id="S3.SS7">
<title>Gene Expression Pattern of the Lipid Metabolism</title>
<p>The gene expression patterns of the key enzymes and regulators involved in lipid anabolism, catabolism, and transportation in the liver are shown in <xref ref-type="fig" rid="F2">Figures 2A&#x2013;C</xref>. Compared with the fish fed with CSM0 diets, the fish fed with CSM20 and CSM40 diets did not markedly decrease the gene expression of FAS, AGPAT3, SREBP1, and PPAR-&#x03B3; (<italic>P</italic> &#x003E; 0.05). In addition, the CSM20 diet also had no effect on reducing the mRNA expression of FAD, elovl5, and PPAR-&#x03B1; compared with the CSM0 diet (<italic>P</italic> &#x003E; 0.05). In contrast, the CSM60 diets markedly lowered the gene expression levels of FAS, ACC, AGPAT3, FAD, elovl5, SREBP1, PPAR-&#x03B1;, and PPAR-&#x03B3; (<italic>P</italic> &#x003C; 0.05). For lipid catabolism, no changes were detected between the CSM0 and CSM20 diets for the gene expression of the key enzymes involved in lipid catabolism (<italic>P</italic> &#x003E; 0.05). The CSM60 diet significantly increased the mRNA expression levels of LPL and CPT1 compared with the other three diets (<italic>P</italic> &#x003C; 0.05). The gene expression patterns of FABP1 and APROB100 showed a decreasing trend with an increasing CSM replacement ratio. The fish fed with 60% dietary CSM replacement diet showed significantly lower levels of FABP1 and APROB100 than the fish fed with the control diet (<italic>P</italic> &#x003C; 0.05). However, the CSM20 diet did not change the gene expression of FABP1 and APROB100 compared with the control diet (<italic>P</italic> &#x003E; 0.05).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Diagrammatic representation of the gene expression pattern of the key transcripts involved in lipid metabolism after juvenile golden pompano (<italic>Trachinotus ovatus</italic>) fed with CSM0, CSM20, CSM40, and CSM60 diets, respectively. <bold>(A)</bold> Lipid anabolism. <bold>(B)</bold> Lipid catamolism. <bold>(C)</bold> Lipid transporters. Values with different superscripted small letters mean significant difference (<italic>P</italic> &#x003C; 0.05). FAS, fatty acid synthetase; ACC, acetyl-CoA carboxylase; AGPAT3, 1-acylglycerol-3-phosphate acyltransferase 3; FAD, fatty acyl desaturase; elovl5, elongase of very long-chain fatty acids 5; SREBP1, sterol regulatory element binding protein-1; PPAR&#x03B1;, peroxisome proliferator activated receptors-alpha; PPAR&#x03B3;, peroxisome proliferator-activated receptors gamma; LPL, lipoprotein lipase; HSL, hormone-sensitive lipase; CPT1, carnitine palmitoyl transferase 1; FABP1, fatty acid binding protein 1; APROB100, apolipoprotein b 100.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-08-775575-g002.tif"/>
</fig>
</sec>
<sec id="S3.SS8">
<title>mRNA Expression Level of the Key Enzymes and Transporters in Glucose Metabolism</title>
<p>As presented in <xref ref-type="fig" rid="F3">Figure 3</xref>, the mRNA expression levels of the key enzymes and transporters in glucose metabolism showed a decreasing trend with increasing FM replacement. The CSM20 diet had no effect on inhibiting the mRNA expression levels of the g6pdh, pk, pepck, and glut4 compared with the control diet (<italic>P</italic> &#x003E; 0.05). However, the CSM40 and CSM60 diets significantly decreased the mRNA expression levels of g6pdh, hk, pk, pfk-1, pepck, and glut2 (<italic>P</italic> &#x003C; 0.05). Moreover, a marked decrease was observed in the gene expression of hk, pfk-1, and glut2 when only 20% FM was replaced by CSM (<italic>P</italic> &#x003C; 0.05).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>RT-qPCR analysis of the key enzymes and transporters in glucose metabolism after juvenile golden pompano (<italic>Trachinotus ovatus</italic>) fed with CSM0, CSM20, CSM40, and CSM60 diets, respectively. Values with different superscripted small letters mean significant difference (<italic>P</italic> &#x003C; 0.05). g6pdh, glucose-6-phosphate; hk, hexokinase; pk, pyruvate kinase; pfk-1, phospho fructokinase-1; pepck, phosphoenolpyruvate carboxykinase; glut2, glucose transport protein 2; glut4, glucose transport protein 4.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-08-775575-g003.tif"/>
</fig>
</sec>
<sec id="S3.SS9">
<title>Cottonseed Meal Gradient Replacements Modulated the mRNA Expression Level of the Key Enzymes in Antioxidant Defense</title>
<p><xref ref-type="fig" rid="F4">Figure 4</xref> described the mRNA expression level changes of the key enzymes in antioxidant defense after golden pompano were fed CSM gradient replacement diets. Compared with the fish fed with the CSM0 diets, the fish fed with the CSM20 diet did not show marked effects in the mRNA expression levels of MnSOD, Nrf2, and Keap1 in the intestine or CAT in the kidney (<italic>P</italic> &#x003E; 0.05). Nevertheless, the CSM40 and CSM60 diets showed higher gene expression levels of the MnSOD, CAT, and Nrf2 in the intestine, and MnSOD, CAT, and HO-1 in the kidney (<italic>P</italic> &#x003C; 0.05). Moreover, the CSM60 diet presented lower Keap1 expression than the control diet in both the intestine and kidney (<italic>P</italic> &#x003C; 0.05). CSM replacements also had no significant effect on changing the mRNA expression of HO-1 in the intestine and Nrf2 in the kidney (<italic>P</italic> &#x003E; 0.05).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>The intestine and kidney gene expression pattern of the key regulators in antioxidant defense after juvenile golden pompano (<italic>Trachinotus ovatus</italic>) fed with CSM0, CSM20, CSM40 and CSM60 diets, respectively. <bold>(A)</bold> Intestine. <bold>(B)</bold> Kidney. Values with different superscripted small letters mean significant difference (<italic>P</italic> &#x003C; 0.05). MnSOD, Manganese superoxide dismutase; CAT, catalase; Nrf2, NF-E2-related nuclear factor 2; Keap1, Kelch-like-ECH-associated protein 1; HO-1, heme oxygenase-1.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-08-775575-g004.tif"/>
</fig>
</sec>
<sec id="S3.SS10">
<title>Cottonseed Meal Gradient Replacements Modified the Immune Response</title>
<p>Immune-response-related gene mRNA expression in the intestine and kidney is displayed in <xref ref-type="fig" rid="F5">Figure 5</xref>. Compared with the CSM0 diet, the CSM20 diet had no effect on changing the gene expression of IL-10, TGF&#x03B2;-1, C4, and Hsp90 in the intestine (<italic>P</italic> &#x003E; 0.05). In addition, the CSM20 diet also did not alter the mRNA expression of IL-10, IL-8, TGF&#x03B2;-1, C4, C-lyz, and Hsp90 in the kidney compared with the CSM0 diet (<italic>P</italic> &#x003E; 0.05). However, compared with the control diet, the CSM40 and CSM60 diets had a marked effect on increasing the gene expression of IL-10, IL-8, C4,Hsp70, and I&#x03BA;-&#x03B1; in the intestine and IL-10, IL-8, C-lyz, and Hsp90 in the kidney (<italic>P</italic> &#x003C; 0.05). On the other hand, CSM60 diets significantly inhibited the mRNA expression of TGF&#x03B2;-1 in both the intestine and the kidney compared with the control diet (<italic>P</italic> &#x003C; 0.05). There was no significant difference in the expression of C-lyz in the intestine or Hsp70 and I&#x03BA;B-&#x03B1; in the kidney among the different groups (<italic>P</italic> &#x003E; 0.05).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p>mRNA expression levels of the key regulators in immune response after juvenile golden pompano (<italic>Trachinotus ovatus</italic>) fed with CSM0, CSM20, CSM40 and CSM60 diets, respectively. <bold>(A)</bold> Intestine. <bold>(B)</bold> Kidney. Values with different superscripted small letters mean significant difference (<italic>P</italic> &#x003C; 0.05). IL-10, interleukin 10; IL-8, interleukin 8; TGF&#x03B2;-1, transforming growth factor &#x03B2;1; C4, complement 4; C-lyz, c-type lysozyme; Hsp70, heat shock protein 70; Hsp90, heat shock protein 90; I&#x03BA;B-&#x03B1;, NF-kappa-B inhibitor alpha.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-08-775575-g005.tif"/>
</fig>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>The present study showed that CSM replaced with 40% FM protein did not decrease the FER and PER; however, based on the WGR and SGR, CSM could only substitute 20% of FM protein in the golden pompano diet. Moreover, compared with the CSM0 diet, only the CSM20 diet did not decrease the dry matter and protein apparent digestibility compared with the control diet. However, higher CSM inclusion significantly decreased growth performance and feed utilization. All the results were consistent with previous studies on juvenile black sea bass <italic>Centropristis striata</italic> (<xref ref-type="bibr" rid="B1">Anderson et al., 2016</xref>), juvenile hybrid grouper (<xref ref-type="bibr" rid="B51">Ye et al., 2020</xref>), and crucian carp (<italic>Carassius auratus gibelio</italic>) (<xref ref-type="bibr" rid="B11">Gui et al., 2010</xref>). Golden pompano, a carnivorous fish species, has a limited ability to utilize dietary plant protein sources. <xref ref-type="bibr" rid="B45">Wu et al. (2014)</xref> reported that soy protein concentrate alone could substitute 20% FM without supplemental dietary taurine in golden pompano. Similarly, in a carnivorous fish, dietary replacement of over 25.3% FM with CSM could markedly inhibit the growth performance of Ussuri catfish (<xref ref-type="bibr" rid="B4">Bu et al., 2017</xref>). The formulation of the present diet was designed based on the commercial diet of golden pompano. A variety of plant protein sources including corn gluten meal, soybean meal, and peanut meal were used as the main protein sources in the diet, and the supplemental amount of FM in the control group was only 25%. Therefore, the replacement of &#x003E; 20% FM with CSM inhibited growth performance.</p>
<p>Understanding the changes in physio-biochemical and molecular responses after fish were fed a CSM substitution diet is also an important way to improve the substitution efficiency (<xref ref-type="bibr" rid="B6">Dai et al., 2015</xref>; <xref ref-type="bibr" rid="B47">Xu et al., 2016</xref>). Plasma nutrient and free AA contents were intuitive indexes reflecting the situation of feed ingestion (<xref ref-type="bibr" rid="B40">Wang W.Q. et al., 2021</xref>; <xref ref-type="bibr" rid="B41">Wang Z. et al., 2021</xref>). In the present study, CSM replacement had a profound effect on altering the plasma biochemical index. CSM substitution at 40% and 60% markedly decreased the total TP, TG, and HLD, which was consistent with a study on largemouth bass and turbot (<xref ref-type="bibr" rid="B39">Wang et al., 2020</xref>). The plasma-free AA concentration was considered the main driving force determining the metabolic rate (<xref ref-type="bibr" rid="B23">Liao et al., 2015</xref>; <xref ref-type="bibr" rid="B42">Wei et al., 2020</xref>). Higher plasma-free AA concentrations provided abundant substrates that could improve protein anabolism. Previous studies using Antarctic krill as a FM substitution in large yellow croaker and poultry by-product meal as a FM substitution in largemouth bass showed lower levels of individual AAs after FM was substituted by other protein sources (<xref ref-type="bibr" rid="B43">Wei et al., 2019</xref>; <xref ref-type="bibr" rid="B39">Wang et al., 2020</xref>). This study also presented a declining trend of plasma individuals and total EAA after CSM replaced 60% of FM in the diet. Compared with NEAA, the concentrations of some EAAs were more sensitive to dietary composition. Lower plasma nutrient and free AA concentrations decreased the metabolic rate of nutrients and further limited the deposition of body nutrients.</p>
<p>The fatty acid content profile of the whole body is another important indicator to reflecting the optimal substitution ratio of alternative protein sources (<xref ref-type="bibr" rid="B15">Hill et al., 2019</xref>). From a human nutritive perspective, fish with a high n-3 PUFA conent are regarded as more valuable than those with a high n-6 PUFA content (<xref ref-type="bibr" rid="B30">Simopoulos, 2002</xref>). The present study demonstrated that the inclusion of CSM in the diet had no significant effect on regulating the content of SFA and MUFA. In contrast, the CSM 40 and CSM60 replacement diets decreased the contents of DHA, &#x03A3;n-3 PUFA, &#x03A3;n-3 HUFA, and &#x03A3;n-3/&#x03A3;n-6 compared with the control diet. Moreover, decreased profiles of whole body C18:2,&#x03A3;n-6 PUFA, and C18:3n-3 were observed only when CSM was replaced at a higher ratio (CSM60 diet). A similar suppression of whole body &#x03A3;n-3 PUFA and &#x03A3;n-3 HUFA was observed in a study using a poultry by-product meal ingredient replacement diet in the hybrid grouper (<xref ref-type="bibr" rid="B41">Wang Z. et al., 2021</xref>). The results of whole body fatty acid contents indicated that CSM could substitute 20&#x2013;40% FM without affecting the fatty acid compositions of golden pompano.</p>
<p>To illustrate the underlying mechanisms of the changing growth performance and nutrient metabolism after CSM replaced FM, the present study also focused on the molecular response of nutrient deposition and metabolism. TOR and AAR are two complementary signaling pathways that respond to dietary nutrient levels (<xref ref-type="bibr" rid="B19">Kimball, 2007</xref>; <xref ref-type="bibr" rid="B14">Hietakangas and Cohen, 2009</xref>). The two signaling pathways were more sensitive to the dietary AA profile (<xref ref-type="bibr" rid="B9">Gallinetti et al., 2013</xref>). An unbalanced AA profile was the first limiting factor restricting the utilization of alternative protein sources in aquafeeds (<xref ref-type="bibr" rid="B22">Li et al., 2009</xref>). Our previous study on turbot and largemouth bass demonstrated that FM replaced by other protein sources with or without AA supplementation significantly varied the mRNA and protein expression levels of the key regulators in the TOR and AAR signaling pathways (<xref ref-type="bibr" rid="B31">Song et al., 2016</xref>; <xref ref-type="bibr" rid="B40">Wang W.Q. et al., 2021</xref>). Consistent with our previous studies, the present study on golden pompano also revealed a lower expression level of the key regulators involved in TOR signaling and a higher expression level of the key regulators involved in AAR signaling at both the mRNA and protein phosphorylation levels after FM was replaced by CSM at 40&#x2013;60%. The liver is the main organ that regulates metabolism overall. The TOR signaling pathway is the regulating center for nutrient metabolism (<xref ref-type="bibr" rid="B12">Hayashi and Proud, 2007</xref>; <xref ref-type="bibr" rid="B18">Irm et al., 2020</xref>). Therefore, on further exploring the mRNA regulation of glucose and lipid metabolism, we found that higher CSM replacement significantly inhibited the gene expression level of the key enzymes and regulators in lipid anabolism and lipid transporters, and elevated the gene expression level of the key enzymes in lipid catabolism. Similarly, CSM substitution also suppressed the mRNA expression level of the key enzymes and transporters involved in glucose metabolism. Inhibited nutrient anabolism and activated nutrient catabolism may provide a reasonable explanation for the reduced growth performance and nutrient metabolism after FM was replaced by CSM.</p>
<p>In addition to affecting nutrient metabolism, alternative protein source-substituted FM also has a profound effect on health status by regulating antioxidant defense and immune response (<xref ref-type="bibr" rid="B13">He et al., 2021</xref>). AST, ALT, ALP, and LDH are important indicators that reflect liver function (<xref ref-type="bibr" rid="B17">Hyder et al., 2013</xref>). The increasing activities of these enzymes in plasma and liver imply liver damage (<xref ref-type="bibr" rid="B28">Regmi et al., 2017</xref>). <xref ref-type="bibr" rid="B4">Bu et al. (2017)</xref> reported that the activities of plasma ALT and LDH significantly increased when the CSM substitution level was &#x003E;40% in Ussuri catfish. The present study also found that the activities of AST, ALT, ALP, LDH, and CK in the plasma and liver of juvenile golden pompano that was fed a large proportion of CSM inclusion diets (CSM40 and CSM60 diets) were higher than those in fish fed the CSM0 diet. These results confirmed liver damage when a higher ratio of CSM was supplemented in the diet of golden pompano. Moreover, the intestine and kidney are considered to be the key organ responses for the body&#x2019;s immune status (<xref ref-type="bibr" rid="B2">Awad et al., 2015</xref>; <xref ref-type="bibr" rid="B20">Lauriano et al., 2016</xref>; <xref ref-type="bibr" rid="B44">Wu et al., 2017</xref>). The intestine is not only considered the main site of the response to nutrient digestion and absorption but also the largest part of the immune system, which contains many lymphoid cells, macrophages, eosinophils, and neutrophilic granulocytes (<xref ref-type="bibr" rid="B29">Rombout et al., 2011</xref>). The present study was conducted to understand the overall immune response that focused on both the intestine and the kidney. The immune status was closely associated with inflammation which was mainly regulated by inflammatory cytokines. TNF, IL, and TGF are cytokines that play a vital role in body immunity (<xref ref-type="bibr" rid="B7">Delcenserie et al., 2008</xref>). In this study, a high level of CSM (CSM60 diet) in the diet markedly elevated the mRNA expression of IL-10, IL-8, C4, Hsp70, and I&#x03BA;B-&#x03B1; in the intestine and kidney. Moreover, data on the gene expression level in the intestine and kidney also demonstrated that CSM replacement activated the antioxidant defense. These results suggested that proportionate CSM substitution (20&#x2013;40%) had no effects on activating the immune response and antioxidant defense. However, higher CSM substitution induced the immune response and antioxidant defense and further damaged the health status. Overall, based on the immune response, CSM could substitute 20&#x2013;40% FM in the present diet formulation.</p>
</sec>
<sec id="S5" sec-type="conclusion">
<title>Conclusion</title>
<p>Based on the results, the present study demonstrated that CSM could successfully substitute 20% dietary FM in the diet of the golden pompano with an initial body weight of approximately 28.4 g. Using CSM as a substitute for FM has promising prospects in golden pompano diets. However, higher CSM inclusion could affect growth performance by regulating TOR and AAR signaling and further modifying the nutrient metabolism. Additionally, higher CSM replacement could also alter the fish health status by regulating the immune response and antioxidant defense. This study proposes the optimal inclusion level of CSM in the diet and also contribute to understanding the mechanisms of dietary CSM in growth performance, nutrient metabolism, and immune response in golden pompano.</p>
</sec>
<sec id="S6" 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="TS1">Supplementary Material</xref>, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="S7">
<title>Ethics Statement</title>
<p>The animal study was reviewed and approved by the University Animal Care and Use Committee of the South China Normal University (an approval reference number 1002019-02-0016).</p>
</sec>
<sec id="S8">
<title>Author Contributions</title>
<p>FS and KM designed the study. YQ and CH performed the study. PY and WW analyzed the data. FS, JW, and QQ revised the manuscript. All authors read and approved the final manuscript.</p>
</sec>
<sec id="conf1" 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="pudiscl1" 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>
</body>
<back>
<sec id="S9" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the Fund of Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang) (ZJW-2019-06), the Foundation and Applied Basic Research Fund Project of Guangdong Province (2019A1515110606), the State Key Laboratory of Developmental Biology of Freshwater Fish and Research (201KF007), and the Research and Development Fund for Young Teachers of South China Normal University (19KJ03).</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.2021.775575/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2021.775575/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.docx" id="TS1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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