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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Physiol.</journal-id>
<journal-title>Frontiers in Physiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Physiol.</abbrev-journal-title>
<issn pub-type="epub">1664-042X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fphys.2016.00359</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Physiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Gene Expression Profiling Reveals Functional Specialization along the Intestinal Tract of a Carnivorous Teleostean Fish (<italic>Dicentrarchus labrax</italic>)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Calduch-Giner</surname> <given-names>Josep A.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib>
<contrib contrib-type="author">
<name><surname>Sitj&#x000E0;-Bobadilla</surname> <given-names>Ariadna</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>P&#x000E9;rez-S&#x000E1;nchez</surname> <given-names>Jaume</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/26260/overview"/></contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Nutrigenomics and Fish Growth Endocrinology Group, Biology, Culture and Pathology of Marine Species, Institute of Aquaculture Torre de la Sal (IATS-CSIC)</institution> <country>Castell&#x000F3;n, Spain</country></aff>
<aff id="aff2"><sup>2</sup><institution>Fish Pathology Group, Biology, Culture and Pathology of Marine Species, Institute of Aquaculture Torre de la Sal (IATS-CSIC)</institution> <country>Castell&#x000F3;n, Spain</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Rubina Sirri, University of Bologna, Italy</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Tiziano Verri, University of Salento, Italy; S. Hyodo, University of Tokyo, Japan</p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x0002A;Correspondence: Jaume P&#x000E9;rez-S&#x000E1;nchez <email>jaime.perez.sanchez&#x00040;csic.es</email></p></fn>
<fn fn-type="other" id="fn002"><p>This article was submitted to Aquatic Physiology, a section of the journal Frontiers in Physiology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>08</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="collection">
<year>2016</year>
</pub-date>
<volume>7</volume>
<elocation-id>359</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>06</month>
<year>2016</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>08</month>
<year>2016</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2016 Calduch-Giner, Sitj&#x000E0;-Bobadilla and P&#x000E9;rez-S&#x000E1;nchez.</copyright-statement>
<copyright-year>2016</copyright-year>
<copyright-holder>Calduch-Giner, Sitj&#x000E0;-Bobadilla and P&#x000E9;rez-S&#x000E1;nchez</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>High-quality sequencing reads from the intestine of European sea bass were assembled, annotated by similarity against protein reference databases and combined with nucleotide sequences from public and private databases. After redundancy filtering, 24,906 non-redundant annotated sequences encoding 15,367 different gene descriptions were obtained. These annotated sequences were used to design a custom, high-density oligo-microarray (8 &#x000D7; 15 K) for the transcriptomic profiling of anterior (AI), middle (MI), and posterior (PI) intestinal segments. Similar molecular signatures were found for AI and MI segments, which were combined in a single group (AI-MI) whereas the PI outstood separately, with more than 1900 differentially expressed genes with a fold-change cutoff of 2. Functional analysis revealed that molecular and cellular functions related to feed digestion and nutrient absorption and transport were over-represented in AI-MI segments. By contrast, the initiation and establishment of immune defense mechanisms became especially relevant in PI, although the microarray expression profiling validated by qPCR indicated that these functional changes are gradual from anterior to posterior intestinal segments. This functional divergence occurred in association with spatial transcriptional changes in nutrient transporters and the mucosal chemosensing system via G protein-coupled receptors. These findings contribute to identify key indicators of gut functions and to compare different fish feeding strategies and immune defense mechanisms acquired along the evolution of teleosts.</p>
</abstract>
<kwd-group>
<kwd>European sea bass</kwd>
<kwd>intestine</kwd>
<kwd>transcriptome</kwd>
<kwd>next-generation sequencing</kwd>
<kwd>microarray</kwd>
<kwd>immune response</kwd>
</kwd-group>
<contract-num rid="cn001">AGL2013-48560</contract-num>
<contract-num rid="cn002">PROMETEO FASE II-2014/085</contract-num>
<contract-num rid="cn003">KBBE-2011-288925</contract-num>
<contract-sponsor id="cn001">Ministerio de Econom&#x000ED;a y Competitividad<named-content content-type="fundref-id">10.13039/501100003329</named-content></contract-sponsor>
<contract-sponsor id="cn002">Generalitat Valenciana<named-content content-type="fundref-id">10.13039/501100003359</named-content></contract-sponsor>
<contract-sponsor id="cn003">Seventh Framework Programme<named-content content-type="fundref-id">10.13039/501100004963</named-content></contract-sponsor>
<counts>
<fig-count count="8"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="104"/>
<page-count count="17"/>
<word-count count="11001"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Teleost fish constitute the most abundant vertebrate group, exhibiting an amazing level of biodiversity affecting their morphology, ecology, and behavior as well as many other aspects of their biology. This huge variability makes fish extremely attractive for the study of many biological questions. They show a high assortment of morphology, anatomy and histology of their gastrointestinal (GI) tract in association with their numerous specialized functions (Wilson and Castro, <xref ref-type="bibr" rid="B98">2010</xref>), as it is involved not only in digestion and feed absorption but also in water and electrolyte balance, nutrient sensing, and immunity (Cain and Swan, <xref ref-type="bibr" rid="B12">2010</xref>). This diversity is now starting to be elucidated and molecular approaches are helping to understand the many vital functions conducted by the GI tract in the context of integrative and comparative physiology. Thus, fish GI tract is an important immunological site acting as a physical and chemical barrier against invading organisms, and the cells within the intestine produce a range of chemical substances to enhance barrier function, innate immunity, and humoral immune responses (Rombout et al., <xref ref-type="bibr" rid="B77">2011</xref>; Xia et al., <xref ref-type="bibr" rid="B100">2013</xref>). This is particularly important at the posterior intestine, where the uptake of macromolecules and foreign antigens mainly occurs (Fuglem et al., <xref ref-type="bibr" rid="B29">2010</xref>; L&#x000F8;kka et al., <xref ref-type="bibr" rid="B50">2014</xref>). Nutrient availability is also essential for the generation and maintenance of a protective effector immune system in humans and other model species (Fox et al., <xref ref-type="bibr" rid="B27">2005</xref>; Michalek and Rathmell, <xref ref-type="bibr" rid="B56">2010</xref>). For instance, a deficiency in glucose uptake negatively affects T cell function with impairment of both proliferation and cytokine expression. Similarly, deficiencies in amino acids, such as tryptophan, arginine, glutamine and cysteine, reduce immune cell activation. Furthermore, short-chain fatty acids provide one of the clearest examples of how host diet and nutrient processing by the gut microbiota shape immune responses (Kau et al., <xref ref-type="bibr" rid="B42">2011</xref>). This is extensive to fish, as dietary butyrate was able to revert most of the changes induced in the intestinal transcriptome of gilthead sea bream (<italic>Sparus aurata</italic>) by the replacement of fish meal and fish oil with plant ingredients (Estensoro et al., <xref ref-type="bibr" rid="B23">2014</xref>). However, experimental evidence in Atlantic halibut (<italic>Hippoglossus hippoglossus</italic>) (Murray et al., <xref ref-type="bibr" rid="B60">2010</xref>), Atlantic salmon (<italic>Salmo salar</italic>) (Skugor et al., <xref ref-type="bibr" rid="B88">2011</xref>), and Atlantic cod (<italic>Gadus morhua</italic>) (Morais et al., <xref ref-type="bibr" rid="B58">2012a</xref>; De Santis et al., <xref ref-type="bibr" rid="B19">2015</xref>) suggests that the nutritionally mediated changes in the intestinal transcriptome and function are highly fish species-specific.</p>
<p>Changes in the intestinal transcriptome also reflect the effect of nutritional background on the disease outcome of gilthead sea bream infected with the intestinal parasite <italic>Enteromyxum leei</italic> (Estensoro et al., <xref ref-type="bibr" rid="B24">2011</xref>; Calduch-Giner et al., <xref ref-type="bibr" rid="B15">2012</xref>). Furthermore, the high expression level of an intestinal mucin specific to the fish lineage has been proven a suitable marker of diagnostic and prognostic value of this parasitic enteritis (P&#x000E9;rez-S&#x000E1;nchez et al., <xref ref-type="bibr" rid="B68">2013</xref>). In this context, the functional outline of the intestinal transcriptome of Mediterranean, Perciform, carnivorous, and gastric fish, such as gilthead sea bream and European sea bass (<italic>Dicentrarchus labrax</italic>), will allow comparative studies with other earlier teleostean groups, such as Salmoniformes (salmon, trout) and Cypriniformes (zebrafish, carp), which have different feeding behaviors or are stomachless (agastric fish). It would also help to understand the impact of dietary restriction, intermittent feeding, or compensatory growth (Inness and Metcalfe, <xref ref-type="bibr" rid="B38">2008</xref>). In addition, this transcriptomic profiling can be a valuable tool to define the nutritional value of novel fish feeds and their effect on fish immune system.</p>
<p>In European sea bass, massive gene expression analysis have undertaken for gills, liver, brain, eggs, and larvae (Geay et al., <xref ref-type="bibr" rid="B32">2011</xref>; Magnanou et al., <xref ref-type="bibr" rid="B54">2014</xref>; Nu&#x000F1;ez Ortiz et al., <xref ref-type="bibr" rid="B64">2014</xref>; Kaitetzidou et al., <xref ref-type="bibr" rid="B40">2015</xref>). A high-quality chromosome-scale genome assembly is also available (Tine et al., <xref ref-type="bibr" rid="B93">2014</xref>) for this species, but in-depth analysis of the intestinal transcriptome remains to be fully addressed. Thus, the main goal of this work was to compare three different intestinal segments of European sea bass in order to generate a precise functional map of the intestine of this valuable fish species. For such purpose, transcriptomic data were generated through the construction of next-generation sequencing libraries. These sequences, combined with others from public and private repositories, were used to construct a reliable assembly nucleotide database (<ext-link ext-link-type="uri" xlink:href="http://www.nutrigroup-iats.org/seabassdb">http://www.nutrigroup-iats.org/seabassdb</ext-link>) enriched on intestinal sequences, being used the annotated assembled sequences to design a custom oligo-microarray.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and methods</title>
<sec>
<title>Animals and tissue sampling</title>
<p>European sea bass of Mediterranean origin were reared under standard conditions at densities lower than 15 kg/m<sup>3</sup> at indoor experimental facilities of the Institute of Aquaculture Torre de la Sal (IATS-CSIC). Photoperiod and temperature followed the natural changes at our latitude (40&#x000B0;5&#x02032;N, 0&#x000B0;10&#x02032;E), and fish were fed to visual satiety on 5 days per week with a commercial diet (Biomar, Palencia, Spain). At midsummer (fast growing fish), overnight fasted fish of 200 g average weight were anesthetized with 100 mg/L of 3-aminobenzoic acid ethyl ester (MS-222, Sigma-Aldrich, Madrid, Spain), bled, and samples of anterior (AI), middle (MI), and posterior (PI) intestinal segments were rapidly excised, frozen in liquid nitrogen and stored at &#x02212;80&#x000B0;C until RNA extraction. AI was taken as a segment immediately after the pyloric caeca. MI was taken as a representative portion at the middle of the intestine. PI was taken as a segment including the rectum. All procedures were approved by the Ethics and Animal Welfare Committee of the Institute of Aquaculture Torre de la Sal according to national (Royal Decree RD53/2013) and EU legislation (2010/63/EU) on the handling of experimental animals.</p>
</sec>
<sec>
<title>RNA extraction</title>
<p>Total RNA was isolated by means of the Ambion MagMax-96 for Microarray kit (Applied Biosystems, Foster City, CA, USA) after tissue homogenization in TRI reagent at a concentration of 100 mg/ml following the manufacturers&#x00027; instructions. RNA quantity and purity was determined by Nanodrop (Thermo Scientific, Wilgminton, DE, USA) and Agilent 2100 bioanalyzer (Agilent Technologies, Palo Alto, CA, USA) measurements with absorbance ratios at 260 nm/280 nm above 1.9 and RNA integrity numbers between 9.2 and 10, which are indicative of clean and intact RNA.</p>
</sec>
<sec>
<title>Transcriptome libraries sequencing and asssembly</title>
<p>Tissue samples from four fish were used for the construction of next-generation sequencing libraries of AI and PI segments. cDNA synthesis was performed with 700 ng total RNA by means of the MINT kit (Evrogen, Heidelberg, Germany). To increase the recovery rate of rare and unique transcripts, amplified cDNAs were normalized by duplex-specific nuclease with the Trimmer kit (Evrogen) following the manufacturer&#x00027;s instructions (Zhulidov et al., <xref ref-type="bibr" rid="B104">2004</xref>). Normalized cDNA samples were quantified with the Quant-iT PicoGreen dsDNA quantification Kit (Life Technologies, Carlsbad, CA, USA) using a VersaFluorTM Fluorometer system (Bio-Rad, Hercules, CA, USA). Normalized cDNA (500 ng) was sheared into small fragments (250&#x02013;600 nt) by nebulization with compressed nitrogen. Then, sequencing adapters were ligated to the blunt ends of the fragments, and an emulsion PCR (emPCR) was performed. After emPCR, the enriched beads were loaded onto the 454 microtiter plate and the amplicons were sequenced with a Titanium GS FLX 454 platform (Roche, Mannheim, Germany). The sff files containing all reads for each library have been deposited to NCBI Short Read Archive under accession <ext-link ext-link-type="NCBI:sra" xlink:href="SRR1560808">SRR1560808</ext-link>.</p>
<p>The quality of the reads was assessed with PERL scripts developed at Lifesequencing S.L. (Valencia, Spain) for trimming of adaptors and validation of high-quality sequences. All sequences were edited to remove vector and adaptor sequences, and cleaned and filtered before assembly. Cleaning involved masking of poor-quality bases and low-complexity sequences, such as polyA tails. Filtering removed contaminating sequences (bacteria, yeast) and only high-quality sequences (<italic>q</italic> &#x0003E; 25) of more than 100 bases in length were retained. Assembly of high-quality reads was performed by means of Newbler version 2.8 program (454 Life Science-Roche) using the default parameters and the cDNA option.</p>
</sec>
<sec>
<title>European sea bass transcriptome database construction</title>
<p>According to the scheme pipeline shown in Figure <xref ref-type="fig" rid="F1">1</xref>, assembled contigs and singletons from the <italic>de novo</italic> assembly (85,350 sequences) were combined with European sea bass annotated nucleotide sequences extracted from public (European sea bass complete mRNAs from Genbank, 492 sequences) and private (AQUAFIRST EU project at <ext-link ext-link-type="uri" xlink:href="http://www.sigenae.org/aquafirst">http://www.sigenae.org/aquafirst</ext-link>, 6953 sequences) databases. Redundant sequences were removed retaining the longest ones, and filtered sequences were annotated by similarity searches using protein reference databases, such as UniProt/Swissprot, RefSeq protein, TrEMBL, and Pfam. The <italic>e</italic>-value threshold to determine similarities was set to 1E-5, and the Uniprot/Swissprot entry to which they received the highest similarity was usually assigned as the gene identity. After annotation, the frameshift edition algorithm previously developed for sequencing corrections at homopolymer regions in gilthead sea bream transcriptome assemblies was applied (Calduch-Giner et al., <xref ref-type="bibr" rid="B13">2013</xref>). Functional characterization by means of gene ontology analysis was made from the most representative contigs/singletons for each gene identity using the Blast2GO software (Conesa et al., <xref ref-type="bibr" rid="B17">2005</xref>) with a threshold cutoff set at 1E-3. Multilevel GO term analysis was performed under default settings (minimum cutoff 1E-04 BlastX) and results were filtered by annotation score.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p><bold>Schematic representation of the data processing pipeline for the <italic><bold>de novo</bold></italic> assembly and annotation of European sea bass intestine transcriptome</bold>. Distribution of biological process multilevel GO annotation terms in European sea bass sequences. The number of sequences for each GO term is represented between parentheses.</p></caption>
<graphic xlink:href="fphys-07-00359-g0001.tif"/>
</fig>
</sec>
<sec>
<title>Microarray construction, hybridization, and data analysis</title>
<p>A custom high-density oligo-microarray (8 &#x000D7; 15 K) from the assembled nucleotide European sea bass sequences was designed and printed using the eArray web tool (Agilent). The array comprised 60-oligomer probes for 14,147 different European sea bass annotated sequences. Total RNA (150 ng) from individuals (<italic>n</italic> &#x0003D; 8 for each intestine segment: AI, MI, and PI) were labeled with cyanine 3-CTP (Low Input Quick Amp Labeling Kit, Agilent), and 600 ng of each labeled cRNA were hybridized to microarray slides that were analyzed with an Agilent G2565C Microarray Scanner according to the manufacturer&#x00027;s protocol. Data were extracted using the Agilent Feature Extraction Software 11.5.1.1. Data analysis of differentially expressed (DE) genes was carried out with the Genespring GX 13.0 software (Agilent). Functional pathway analysis of DE genes was performed with the Ingenuity Pathway Analysis (IPA) software (<ext-link ext-link-type="uri" xlink:href="http://www.ingenuity.com">http://www.ingenuity.com</ext-link>). For each gene, the Uniprot accession of the annotation equivalent for one of the three higher vertebrates model species in IPA (human, rat, or mouse) was assigned.</p>
</sec>
<sec>
<title>Real-time qPCR validation</title>
<p>Up to 29 genes that were considered representative of DE genes were validated on individual AI and PI samples (<italic>n</italic> &#x0003D; 6 for each intestinal segment) by real-time qPCR, using an iCycler IQ Real-time Detection System (Bio-Rad). cDNA synthesis was performed using the High-Capacity cDNA Archive Kit (Applied Biosystems) with random decamers. For this purpose, 500 ng total RNA were reverse transcribed in a final volume of 100 &#x003BC;l. RT reactions were incubated for 10 min at 25&#x000B0;C and 2 h at 37&#x000B0;C. Negative control reactions were incubated in the absence of reverse transcriptase. Diluted RT reactions were conveniently used for PCR reactions in a 25 &#x003BC;l volume. Each PCR well contained a SYBR Green Master Mix (Bio-Rad) and specific primers (Table <xref ref-type="supplementary-material" rid="SM1">S1</xref>) were used at a final concentration of 0.9 &#x003BC;M. DNA Polymerase was activated and cDNA denatured by preincubation for 3 min at 95&#x000B0;C; the template was amplified for 40 cycles of denaturation at 95&#x000B0;C for 15 s, and annealing/extension at 60&#x000B0;C for 60 s. &#x003B2;-Actin was used as the housekeeping gene and the efficiency of PCR reactions for target and reference genes varied between 90 and 98%. The amount of product in a particular sample was determined by interpolation of the cycle threshold (Ct) value. The specificity of the reaction was verified by analysis of melting curves and by electrophoresis and sequencing of PCR-amplified products. Fluorescence data acquired during the extension phase were ultimately normalized to &#x003B2;-actin by the &#x00394;&#x00394;Ct method (Livak and Schmittgen, <xref ref-type="bibr" rid="B49">2001</xref>). For each selected gene, fold-change variations were calculated between posterior and anterior regions.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Microarray results for the different intestinal segments were compared in pairs by means of a <italic>t</italic>-test (corrected <italic>P</italic> &#x0003C; 0.05, Benjamini-Hochberg multiple testing correction).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Transcriptome assembly and annotation</title>
<p>As stated in Table <xref ref-type="table" rid="T1">1</xref>, sequencing of AI and PI segments yielded similar results in terms of the number of high-quality reads and average read length. The combined <italic>de novo</italic> assembly of all high-quality reads resulted in a total of 85,350 unique sequences (20,554 contigs and 64,796 singletons) with an average length of 788 nucleotides. After combination with annotated assembled reads from Aquafirst and GenBank complete mRNAs, filtering resulted in 24,906 non-redundant annotated sequences with an average length of 1050 nucleotides (N50 &#x0003D; 1323 nucleotides) that were uploaded to our nucleotide database (<ext-link ext-link-type="uri" xlink:href="http://www.nutrigroup-iats.org/seabassdb">http://www.nutrigroup-iats.org/seabassdb</ext-link>). The assembled transcriptome yielded a total of 15,367 different gene descriptions for annotated sequences. Blast2GO analysis showed a high abundance among others of GO terms related to organ development (GO:0048513, 1921 different genes), cell communication, cell surface receptor signaling and signal transduction (GOs:0010646, 0007166, 0009966; 1683, 1663, and 1534 genes, respectively), cellular assembly (GO:0022607, 1464 genes), protein transport (GO:0015031, 1349 genes), immune system (GO:0002376, 1285 genes), cell development (GO:0048468, 1215 genes), and lipid metabolism (GO:0006629, 1195 genes) (Figure <xref ref-type="fig" rid="F1">1</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p><bold>Statistics for 454 pyrosequencing libraries</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th valign="top" align="center"><bold>Anterior intestine</bold></th>
<th valign="top" align="center"><bold>Posterior intestine</bold></th>
<th valign="top" align="center"><bold><italic>De novo</italic> assembly</bold></th>
</tr>
</thead>
<tbody>
<tr style="background-color:#bbbdc0">
<td valign="top" align="left" colspan="4"><bold>PYROSEQUENCING READS</bold></td>
</tr>
<tr>
<td valign="top" align="left">High-quality reads</td>
<td valign="top" align="center">492,924</td>
<td valign="top" align="center">494,474</td>
<td valign="top" align="center">987,398</td>
</tr>
<tr>
<td valign="top" align="left">Average read length (bp)</td>
<td valign="top" align="center">462</td>
<td valign="top" align="center">518</td>
<td valign="top" align="center">490</td>
</tr>
<tr>
<td valign="top" align="left">Total Megabases</td>
<td valign="top" align="center">227.9</td>
<td valign="top" align="center">256.3</td>
<td valign="top" align="center">484.3</td>
</tr>
<tr style="background-color:#bbbdc0">
<td valign="top" align="left" colspan="4"><bold>ASSEMBLY STATISTICS</bold></td>
</tr>
<tr>
<td valign="top" align="left">Number of contigs</td>
<td valign="top" align="center">12,782</td>
<td valign="top" align="center">13,798</td>
<td valign="top" align="center">20,554</td>
</tr>
<tr>
<td valign="top" align="left">Reads assembled</td>
<td valign="top" align="center">388,694</td>
<td valign="top" align="center">369,029</td>
<td valign="top" align="center">789,688</td>
</tr>
<tr>
<td valign="top" align="left">Average contig length (bp)</td>
<td valign="top" align="center">1376</td>
<td valign="top" align="center">1426</td>
<td valign="top" align="center">1513</td>
</tr>
<tr>
<td valign="top" align="left">Assembled contigs N50 (bp)</td>
<td valign="top" align="center">1540</td>
<td valign="top" align="center">1539</td>
<td valign="top" align="center">1681</td>
</tr>
<tr>
<td valign="top" align="left">Number of singletons</td>
<td valign="top" align="center">48,234</td>
<td valign="top" align="center">48,527</td>
<td valign="top" align="center">64,796</td>
</tr>
<tr>
<td valign="top" align="left">Average singleton length (nt)</td>
<td valign="top" align="center">536</td>
<td valign="top" align="center">596</td>
<td valign="top" align="center">558</td>
</tr>
<tr>
<td valign="top" align="left">Total consensus Megabases</td>
<td valign="top" align="center">43.4</td>
<td valign="top" align="center">48.6</td>
<td valign="top" align="center">67.3</td>
</tr>
<tr>
<td valign="top" align="left">Average sequences coverage</td>
<td valign="top" align="center">7.2</td>
<td valign="top" align="center">6.7</td>
<td valign="top" align="center">10.0</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Most of the non-redundant assembled sequences had a reliable annotation against the UniProt/Swissprot database (17,181 sequences, 69%). Sequences with no significant equivalent in this database were annotated by similarity to RefSeq-Prot (4004 sequences), Trembl (3160 sequences), or Pfam (561 sequences) (Figure <xref ref-type="fig" rid="F2">2A</xref>). In all cases, reliable annotations were obtained with <italic>e</italic>-values lower than 1E-30 for more than 60% of sequences (Figure <xref ref-type="fig" rid="F2">2B</xref>).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p><bold>Annotation statistics for the European sea bass transcriptome. (A)</bold> Top annotation hits by reference databases. <bold>(B)</bold> Annotation best hit <italic>e</italic>-value distribution.</p></caption>
<graphic xlink:href="fphys-07-00359-g0002.tif"/>
</fig>
</sec>
<sec>
<title>Functional analysis of differentially expressed (DE) genes</title>
<p>Microarray gene expression profiling of individual fish showed a gradient expression pattern along the intestinal tract with a close association of AI and MI by principal component analysis, with the first two components accounting for 41% of the total variance (Figure <xref ref-type="fig" rid="F3">3</xref>). Hence, <italic>t</italic>-tests (Benjamini-Hochberg, <italic>P</italic> &#x0003C; 0.05) were not able to detect DE genes between AI and MI samples, and these two intestinal segments were combined into one category (AI-MI) for further analysis comparing AI-MI vs. PI. This strategy yielded 5770 DE genes (Benjamini-Hochberg <italic>t</italic>-test, <italic>P</italic> &#x0003C; 0.05), reduced to 1906 (960 upregulated in AI-MI; 946 upregulated in PI) after filtering with a fold-change cutoff of 2.0. The complete list of DE genes with data on fold-changes is shown as Table <xref ref-type="supplementary-material" rid="SM2">S2</xref>.</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p><bold>Principal component analysis of the gene expression profile of intestine sections of European sea bass</bold>. Anterior intestine samples are marked as AI (red), middle intestine as MI (blue) and posterior intestine as PI (green).</p></caption>
<graphic xlink:href="fphys-07-00359-g0003.tif"/>
</fig>
<p>Functional pathway analysis of DE genes revealed a different pattern of molecular and cellular functions throughout the intestine. In AI-MI, there was an overrepresentation of genes related to digestion and transport of nutrients (lipids, vitamins, minerals, carbohydrates, amino acids) (Figure <xref ref-type="fig" rid="F4">4</xref>). This was consistent with the observation that highly expressed genes in the AI-MI segments in comparison with PI included a vast array of proteins (<italic>pepsin A, chymotrypsin-like elastase family member 2A, elastase-1</italic>), lipid (<italic>phosphodiesterase family member 7, neutral ceramidase, bile salt-activated lipase</italic>), and carbohydrate (<italic>lactase-phlorizin hydrolase</italic>) digestion-related genes, as well as genes involved in lipoprotein metabolism (<italic>14 kDa apolipoprotein, apolipoprotein C-II</italic>) and intestinal motility (<italic>neuromedin-B-like</italic>) (Table <xref ref-type="table" rid="T2">2</xref>). In PI, the most relevant molecular and cellular functions (17 out of 20) were coincident with those of AI-MI, but they were differently ranked, and the most significant ones were related to the preservation of tissue integrity and cell-to-cell communication (cellular movement, cellular function and maintenance, cell-to-cell signaling and interaction, cell morphology, cellular development, cellular growth and proliferation, cell death and survival) (Figure <xref ref-type="fig" rid="F5">5</xref>). At the same time, the list of the highest expressed genes in PI in comparison with AI-MI (Table <xref ref-type="table" rid="T3">3</xref>) included markers of cell positional identity and epithelial barrier function (<italic>sorting nexin-6-like, homeobox protein Hox-D4b, sorting nexin 10</italic>). Other genes with higher expression in the PI were those related to absorption of vitamin B12 (<italic>protein amnionless, cubilin, gastric intrinsic factor-like, transcobalamin-2</italic>) and bile acids (<italic>ileal sodium/bile acid cotransporter, gastrotropin</italic>). Genes related to immune or antimicrobial response were also represented in the top list of genes with a specific or upregulated expression in the PI (<italic>immunoglobulin-like and fibronectin type III domain-containing protein 1, transmembrane and immunoglobulin domain-containing protein 1, histidine ammonia-lyase, B-L beta chain class II histocompatibility antigen</italic>, and <italic>beta defensin</italic>) (Table <xref ref-type="table" rid="T3">3</xref>). Other immune-related DE genes in the PI, not included in the top list, were lysozymes, mieloperoxidases, and some TLRs and cytokines (Table <xref ref-type="supplementary-material" rid="SM2">S2</xref>). This was supported by the effector network analysis conducted by means of IPA software, which identified the immune-related effector network (24 genes connecting chemotaxis, inflammatory responses and leukocyte activation and proliferation) as one of the most distinctive gene signatures of the distal intestine (Figure <xref ref-type="fig" rid="F6">6</xref>). Likewise, cell signaling comprising a vast array of G-protein coupled receptors (GPCRs) was identified as a highly significant network (Figure <xref ref-type="fig" rid="F7">7</xref>). Interestingly, many of the receptors that were mainly expressed in AI-MI segments were related to intestinal secretion and motility (<italic>GPR39</italic>; <italic>GPR112</italic>; <italic>alpha-2C adrenergic receptor, ADRA2C</italic>; <italic>neuropeptide B/W receptor types 1 and 2, NPBWR1, NPBWR2</italic>), whereas those GPCRs with intestinal cell proliferation and inflammatory function (<italic>GPR18</italic>; <italic>GPR63</italic>; <italic>GPR84</italic>; <italic>hydroxycarboxylic acid receptor 2-like, HCAR2</italic>; <italic>frizzled class receptor 10, FZD10</italic>) usually had a higher expression level in the PI segment.</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p><bold>Molecular and cellular functions of differentially expressed genes in the anterior-middle intestine segment (AI-MI)</bold>. For a given molecular function, blue bars indicate the &#x02212;log of the <italic>P</italic>-value, and the number of differentially expressed genes is represented.</p></caption>
<graphic xlink:href="fphys-07-00359-g0004.tif"/>
</fig>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p><bold>Filtering by fold-change of differentially expressed genes through the intestine segments</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Gene name</bold></th>
<th valign="top" align="center"><bold><italic>E</italic>-value</bold></th>
<th valign="top" align="left"><bold>Description</bold></th>
<th valign="top" align="center"><bold>Fold-change</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Natterin-3-like</td>
<td valign="top" align="center">4.33E-71</td>
<td valign="top" align="left">Antimicrobial function</td>
<td valign="top" align="center">34,873.18</td>
</tr>
<tr>
<td valign="top" align="left">Acidic mammalian chitinase</td>
<td valign="top" align="center">1.74E-136</td>
<td valign="top" align="left">Antimicrobial function</td>
<td valign="top" align="center">24,297.52</td>
</tr>
<tr>
<td valign="top" align="left">14 kDa apolipoprotein</td>
<td valign="top" align="center">5.61E-64</td>
<td valign="top" align="left">Lipoprotein metabolism</td>
<td valign="top" align="center">10,790.68</td>
</tr>
<tr>
<td valign="top" align="left">Peptide Y</td>
<td valign="top" align="center">3.06E-39</td>
<td valign="top" align="left">Feed intake regulation</td>
<td valign="top" align="center">3983.42</td>
</tr>
<tr>
<td valign="top" align="left">Pepsin A</td>
<td valign="top" align="center">2.00E-109</td>
<td valign="top" align="left">Protein digestion</td>
<td valign="top" align="center">2556.36</td>
</tr>
<tr>
<td valign="top" align="left">Apolipoprotein C-II</td>
<td valign="top" align="center">1.37E-29</td>
<td valign="top" align="left">Lipoprotein metabolism</td>
<td valign="top" align="center">908.45</td>
</tr>
<tr>
<td valign="top" align="left">Uncharacterized protein LOC100002243</td>
<td valign="top" align="center">3.17E-36</td>
<td valign="top" align="left">No functional information</td>
<td valign="top" align="center">692.44</td>
</tr>
<tr>
<td valign="top" align="left">Meprin A subunit beta</td>
<td valign="top" align="center">0</td>
<td valign="top" align="left">Inflammatory response</td>
<td valign="top" align="center">594.20</td>
</tr>
<tr>
<td valign="top" align="left">Aquaporin-8</td>
<td valign="top" align="center">1.41E-62</td>
<td valign="top" align="left">Water channel protein</td>
<td valign="top" align="center">572.00</td>
</tr>
<tr>
<td valign="top" align="left">Hypothetical protein LOC100699670</td>
<td valign="top" align="center">3.64E-38</td>
<td valign="top" align="left">No functional information</td>
<td valign="top" align="center">556.59</td>
</tr>
<tr>
<td valign="top" align="left">Phosphoethanolamine N-methyltransferase 3</td>
<td valign="top" align="center">2.06E-147</td>
<td valign="top" align="left">Phosphatidylcholine synthesis</td>
<td valign="top" align="center">535.96</td>
</tr>
<tr>
<td valign="top" align="left">Lactase-phlorizin hydrolase</td>
<td valign="top" align="center">0</td>
<td valign="top" align="left">Carbohydrate digestion</td>
<td valign="top" align="center">462.75</td>
</tr>
<tr>
<td valign="top" align="left">Platelet glycoprotein 4</td>
<td valign="top" align="center">2.28E-129</td>
<td valign="top" align="left">Inflammatory response</td>
<td valign="top" align="center">451.42</td>
</tr>
<tr>
<td valign="top" align="left">Chymotrypsin-like elastase family member 2A</td>
<td valign="top" align="center">4.43E-60</td>
<td valign="top" align="left">Protein digestion</td>
<td valign="top" align="center">427.20</td>
</tr>
<tr>
<td valign="top" align="left">Alkaline phosphatase, tissue-non-specific isozyme</td>
<td valign="top" align="center">1.08E-126</td>
<td valign="top" align="left">Hydrolase enzyme</td>
<td valign="top" align="center">407.53</td>
</tr>
<tr>
<td valign="top" align="left">Ammonium transporter Rh type B</td>
<td valign="top" align="center">4.80E-113</td>
<td valign="top" align="left">Ammonium transporter</td>
<td valign="top" align="center">359.73</td>
</tr>
<tr>
<td valign="top" align="left">Protein FAM151A</td>
<td valign="top" align="center">1.79E-117</td>
<td valign="top" align="left">No functional information</td>
<td valign="top" align="center">356.85</td>
</tr>
<tr>
<td valign="top" align="left">Elastase-1</td>
<td valign="top" align="center">7.77E-106</td>
<td valign="top" align="left">Protein digestion</td>
<td valign="top" align="center">343.84</td>
</tr>
<tr>
<td valign="top" align="left">Phosphodiesterase family member 7</td>
<td valign="top" align="center">1.12E-143</td>
<td valign="top" align="left">Lipid digestion</td>
<td valign="top" align="center">328.98</td>
</tr>
<tr>
<td valign="top" align="left">Neuromedin-B-like</td>
<td valign="top" align="center">2.00E-80</td>
<td valign="top" align="left">Intestine motility. Inflammatory response</td>
<td valign="top" align="center">311.30</td>
</tr>
<tr>
<td valign="top" align="left">Ecto-NOX disulfide-thiol exchanger 1-like</td>
<td valign="top" align="center">3.83E-18</td>
<td valign="top" align="left">Cell surface oxidase</td>
<td valign="top" align="center">297.03</td>
</tr>
<tr>
<td valign="top" align="left">Type-4 ice-structuring protein LS-12</td>
<td valign="top" align="center">9.69E-31</td>
<td valign="top" align="left">Lipid transport</td>
<td valign="top" align="center">280.91</td>
</tr>
<tr>
<td valign="top" align="left">Gastrin</td>
<td valign="top" align="center">2.11E-25</td>
<td valign="top" align="left">Feed digestion</td>
<td valign="top" align="center">280.86</td>
</tr>
<tr>
<td valign="top" align="left">Transmembrane 4 L6 family member 1</td>
<td valign="top" align="center">2.64E-12</td>
<td valign="top" align="left">Epithelial cell adhesion and proliferation</td>
<td valign="top" align="center">245.05</td>
</tr>
<tr>
<td valign="top" align="left">Carbonic anhydrase 4</td>
<td valign="top" align="center">1.58E-45</td>
<td valign="top" align="left">pH buffering</td>
<td valign="top" align="center">218.15</td>
</tr>
<tr>
<td valign="top" align="left">Laminin N</td>
<td valign="top" align="center">1.03E-13</td>
<td valign="top" align="left">Cell adhesion and migration</td>
<td valign="top" align="center">206.65</td>
</tr>
<tr>
<td valign="top" align="left">Lysozyme C</td>
<td valign="top" align="center">1.26E-57</td>
<td valign="top" align="left">Immune response</td>
<td valign="top" align="center">206.34</td>
</tr>
<tr>
<td valign="top" align="left">Neutral ceramidase</td>
<td valign="top" align="center">0</td>
<td valign="top" align="left">Sphingolipid digestion</td>
<td valign="top" align="center">201.39</td>
</tr>
<tr>
<td valign="top" align="left">Bile salt-activated lipase</td>
<td valign="top" align="center">0</td>
<td valign="top" align="left">Lipid digestion</td>
<td valign="top" align="center">194.54</td>
</tr>
<tr>
<td valign="top" align="left">Differentially regulated trout protein</td>
<td valign="top" align="center">6.75E-33</td>
<td valign="top" align="left">Inflammatory response</td>
<td valign="top" align="center">182.46</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>The listed genes are the most up-regulated (top 30) in the AI-MI intestine segments in comparison to PI segment</italic>.</p>
</table-wrap-foot>
</table-wrap>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p><bold>Molecular and cellular functions of differentially expressed genes in the posterior intestine segment (PI)</bold>. For a given molecular function, blue bars indicate the &#x02212;log of the <italic>P</italic>-value, and the number of differentially expressed genes is represented.</p></caption>
<graphic xlink:href="fphys-07-00359-g0005.tif"/>
</fig>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p><bold>Filtering by fold-change of differentially expressed genes through the intestine segment</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Gene name</bold></th>
<th valign="top" align="center"><bold><italic>E</italic>-value</bold></th>
<th valign="top" align="left"><bold>Description</bold></th>
<th valign="top" align="center"><bold>Fold-change</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Transmembrane protein 236</td>
<td valign="top" align="center">1.61E-101</td>
<td valign="top" align="left">No functional information</td>
<td valign="top" align="center">3825.29</td>
</tr>
<tr>
<td valign="top" align="left">Protein amnionless</td>
<td valign="top" align="center">2.11E-47</td>
<td valign="top" align="left">Vitamin B12 metabolism</td>
<td valign="top" align="center">1781.91</td>
</tr>
<tr>
<td valign="top" align="left">Immunoglobulin-like and fibronectin type III domain-containing protein 1</td>
<td valign="top" align="center">7.12E-81</td>
<td valign="top" align="left">Immune response</td>
<td valign="top" align="center">757.80</td>
</tr>
<tr>
<td valign="top" align="left">Transmembrane and immunoglobulin domain-containing protein 1</td>
<td valign="top" align="center">2.40E-24</td>
<td valign="top" align="left">Immune response</td>
<td valign="top" align="center">556.28</td>
</tr>
<tr>
<td valign="top" align="left">Cubilin</td>
<td valign="top" align="center">0</td>
<td valign="top" align="left">Vitamin B12 metabolism</td>
<td valign="top" align="center">513.32</td>
</tr>
<tr>
<td valign="top" align="left">Histidine ammonia-lyase</td>
<td valign="top" align="center">0</td>
<td valign="top" align="left">Immunosuppression</td>
<td valign="top" align="center">395.29</td>
</tr>
<tr>
<td valign="top" align="left">Cathepsin L-like</td>
<td valign="top" align="center">1.52E-45</td>
<td valign="top" align="left">Cysteine proteinase</td>
<td valign="top" align="center">367.05</td>
</tr>
<tr>
<td valign="top" align="left">B(0,&#x0002B;)-type amino acid transporter 1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="left">Cysteine transporter</td>
<td valign="top" align="center">314.06</td>
</tr>
<tr>
<td valign="top" align="left">Unconventional myosin-Vb</td>
<td valign="top" align="center">6.06E-82</td>
<td valign="top" align="left">Cell organelle movement</td>
<td valign="top" align="center">229.39</td>
</tr>
<tr>
<td valign="top" align="left">Beta-defensin</td>
<td valign="top" align="center">5.11E-20</td>
<td valign="top" align="left">Antimicrobial peptide</td>
<td valign="top" align="center">157.27</td>
</tr>
<tr>
<td valign="top" align="left">Ileal sodium/bile acid cotransporter</td>
<td valign="top" align="center">9.66E-107</td>
<td valign="top" align="left">Bile acid metabolism</td>
<td valign="top" align="center">125.59</td>
</tr>
<tr>
<td valign="top" align="left">Gastric intrinsic factor-like</td>
<td valign="top" align="center">5.44E-38</td>
<td valign="top" align="left">Vitamin B12 metabolism</td>
<td valign="top" align="center">124.94</td>
</tr>
<tr>
<td valign="top" align="left">Homeobox protein Hox-C13a</td>
<td valign="top" align="center">1.10E-158</td>
<td valign="top" align="left">Vasoactive intestinal peptide</td>
<td valign="top" align="center">118.63</td>
</tr>
<tr>
<td valign="top" align="left">Excitatory amino acid transporter 3</td>
<td valign="top" align="center">0</td>
<td valign="top" align="left">Amino acid transporter</td>
<td valign="top" align="center">116.11</td>
</tr>
<tr>
<td valign="top" align="left">Homeobox protein Hox-A13a</td>
<td valign="top" align="center">6.05E-113</td>
<td valign="top" align="left">Vasoactive intestinal peptide</td>
<td valign="top" align="center">113.58</td>
</tr>
<tr>
<td valign="top" align="left">Patched domain-containing protein 3</td>
<td valign="top" align="center">1.96E-159</td>
<td valign="top" align="left">Proteosomal degradation</td>
<td valign="top" align="center">105.85</td>
</tr>
<tr>
<td valign="top" align="left">Forkhead box protein D2</td>
<td valign="top" align="center">2.31E-87</td>
<td valign="top" align="left">Probable transcription factor</td>
<td valign="top" align="center">95.66</td>
</tr>
<tr>
<td valign="top" align="left">Sorting nexin 6-like</td>
<td valign="top" align="center">1.07E-159</td>
<td valign="top" align="left">Epithelial barrier function</td>
<td valign="top" align="center">55.27</td>
</tr>
<tr>
<td valign="top" align="left">Gastrotropin/ileal fatty acid binding protein/FABP6</td>
<td valign="top" align="center">6.49E-35</td>
<td valign="top" align="left">Bile acid metabolism</td>
<td valign="top" align="center">52.48</td>
</tr>
<tr>
<td valign="top" align="left">Solute carrier family 15 member 2</td>
<td valign="top" align="center">0</td>
<td valign="top" align="left">Oligopeptide transporter</td>
<td valign="top" align="center">52.26</td>
</tr>
<tr>
<td valign="top" align="left">Zinc transporter 8</td>
<td valign="top" align="center">5.22E-96</td>
<td valign="top" align="left">Zn metabolism</td>
<td valign="top" align="center">51.39</td>
</tr>
<tr>
<td valign="top" align="left">Homeobox protein Hox-D4b</td>
<td valign="top" align="center">6.20E-27</td>
<td valign="top" align="left">Positional identity</td>
<td valign="top" align="center">50.83</td>
</tr>
<tr>
<td valign="top" align="left">Phosphatidylinositol 3,4,5-trisphosphate 3-phosphatase TPTE2</td>
<td valign="top" align="center">2.87E-128</td>
<td valign="top" align="left">Regulation of AKT/PKB pathway</td>
<td valign="top" align="center">50.50</td>
</tr>
<tr>
<td valign="top" align="left">Granulins-like</td>
<td valign="top" align="center">3.87E-26</td>
<td valign="top" align="left">Cell growth regulation</td>
<td valign="top" align="center">48.21</td>
</tr>
<tr>
<td valign="top" align="left">Sorting nexin 10</td>
<td valign="top" align="center">8.17E-17</td>
<td valign="top" align="left">Epithelial barrier function</td>
<td valign="top" align="center">45.71</td>
</tr>
<tr>
<td valign="top" align="left">Major facilitator superfamily domain-containing protein 4-A</td>
<td valign="top" align="center">2.82E-157</td>
<td valign="top" align="left">Small molecules transport</td>
<td valign="top" align="center">42.50</td>
</tr>
<tr>
<td valign="top" align="left">Hydroxylysine kinase</td>
<td valign="top" align="center">3.23E-129</td>
<td valign="top" align="left">Amino acid catabolism</td>
<td valign="top" align="center">42.33</td>
</tr>
<tr>
<td valign="top" align="left">Transcobalamin-2</td>
<td valign="top" align="center">1.43E-37</td>
<td valign="top" align="left">Vitamin B12 metabolism</td>
<td valign="top" align="center">42.14</td>
</tr>
<tr>
<td valign="top" align="left">Homeobox protein Hox-A11a</td>
<td valign="top" align="center">1.23E-15</td>
<td valign="top" align="left">Positional identity</td>
<td valign="top" align="center">41.07</td>
</tr>
<tr>
<td valign="top" align="left">Class II histocompatibility antigen, B-L beta chain</td>
<td valign="top" align="center">7.74E-17</td>
<td valign="top" align="left">Immune response</td>
<td valign="top" align="center">38.13</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>The listed genes are the most up-regulated (top 30) in the PI intestine segment in comparison to AI-MI intestine segments</italic>.</p>
</table-wrap-foot>
</table-wrap>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption><p><bold>Regulator effector network of genes differentially expressed in the posterior intestine of European sea bass</bold>. It integrates the upstream regulators (upper line), differentially expressed genes (middle line), and downstream effects results (lower line).</p></caption>
<graphic xlink:href="fphys-07-00359-g0006.tif"/>
</fig>
<fig id="F7" position="float">
<label>Figure 7</label>
<caption><p><bold>Gene network generated by IPA analysis</bold>. Red boxes indicate GPCRs differentially and highly expressed at posterior intestine (fold-change, expression ratio between posterior intestine and anterior-middle intestine, &#x0003E;1). Green boxes indicate GPCRs differentially and highly expressed at anterior-middle intestine (fold-change &#x0003C; 1).</p></caption>
<graphic xlink:href="fphys-07-00359-g0007.tif"/>
</fig>
</sec>
<sec>
<title>Real-time qPCR validation</title>
<p>Selected genes for qPCR validation of microarray results were representative of the main processes along the intestinal tract: (i) amino acid transport and proteolysis [<italic>B(0</italic>,&#x0002B;<italic>)-type amino acid transporter 1, excitatory amino acid transporter 3, cathepsin L</italic>], (ii) lipid metabolism and digestion (<italic>apolipoprotein C-II, bile salt-activated lipase, phosphoethanolamine-N-methyltransferase 3</italic>), (iii) integrity of the epithelial barrier (<italic>sorting nexin 6</italic>), (iv) antimicrobial action (<italic>acidic mammalian chitinase, beta-defensin, liver-expressed antimicrobial peptide 2, unconventional myosin-Vb</italic>), (v) inflammatory and immune responses (<italic>histidine ammonia-lyase, immunoglobulin-like and fibronectin type III domain-containing protein 1, lysozyme C, neuromedin-B, platelet glycoprotein 4, transmembrane</italic>, and <italic>immunoglobulin domain-containing protein 1</italic>), (vi) intestinal chemosensation (<italic>GPR18, GPR39, GPR63, GPR84, GPR112, NPBWR1</italic>), and (vii) metabolism of bile acids (<italic>gastrotropin, ileal sodium/bile acid cotransporter</italic>) and vitamin B12 (<italic>cubilin, protein amnionless, transcobalamin-2</italic>). A scatter plot of microarray and qPCR fold-change values for all the above-mentioned genes highlighted a strong linear correlation (<italic>r</italic> &#x0003D; 0.97) near to equality (Figure <xref ref-type="fig" rid="F8">8</xref>).</p>
<fig id="F8" position="float">
<label>Figure 8</label>
<caption><p><bold>qPCR validation of microarray results</bold>. Correlation plot of fold-change (posterior/anterior) values for the selected genes analyzed by qPCR (X-axis) and microarray (Y-axis).</p></caption>
<graphic xlink:href="fphys-07-00359-g0008.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>In the present work, the assembly and annotation of 454 normalized libraries resulted in a transcriptome that, in terms of non-redundant contigs (85,350) or different annotated sequences (15,367), is similar to those previously reported for other tissues in this fish species. The resulting information is accessible through an easy-to-use web interface hosted at <ext-link ext-link-type="uri" xlink:href="http://www.nutrigroup-iats.org/seabassdb">http://www.nutrigroup-iats.org/seabassdb</ext-link> that contains data from assembled, annotated and semi-automatically curated singletons/contigs. This database has been built as previously reported for gilthead sea bream (<ext-link ext-link-type="uri" xlink:href="http://www.nutrigroup-iats.org/seabreamdb">http://www.nutrigroup-iats.org/seabreamdb</ext-link>) (Calduch-Giner et al., <xref ref-type="bibr" rid="B13">2013</xref>), and offers the possibility for data requisition by several Blast options or direct word searches for annotated names or gene ontology terms. These genomic resources are useful tools for functional phenotyping of Mediterranean farmed fish and have been used to develop several pathway-focused PCR arrays for the simultaneous and semi-automated profiling of selected markers of mitochondria function and biogenesis (Bermejo-Nogales et al., <xref ref-type="bibr" rid="B9">2014</xref>, <xref ref-type="bibr" rid="B8">2015</xref>), lipid metabolism (Benedito-Palos et al., <xref ref-type="bibr" rid="B7">2013</xref>, <xref ref-type="bibr" rid="B5">2014</xref>), immune response (P&#x000E9;rez-Cord&#x000F3;n et al., <xref ref-type="bibr" rid="B66">2014</xref>; P&#x000E9;rez-S&#x000E1;nchez et al., <xref ref-type="bibr" rid="B67">2015</xref>), and muscle growth (Benedito-Palos et al., <xref ref-type="bibr" rid="B6">2016</xref>) in gilthead sea bream, and lipid metabolism in European sea bass (Rimoldi et al., <xref ref-type="bibr" rid="B75">2016</xref>). In the current study, this knowledge has been used to design and validate a high density oligo-microarray, enriched in actively transcribed genes of the intestinal tract.</p>
<p>The advent of transcriptome analysis by RNA-seq has revolutionized the field of fish transcriptomics with the discovery of new transcripts, interrogation of post-transcriptional modifications and analysis of single nucleotide polymorphism (Louro et al., <xref ref-type="bibr" rid="B51">2014</xref>; Qian et al., <xref ref-type="bibr" rid="B71">2014</xref>). However, DNA microarray technology still constitutes a solid and widely used approach because of its competitiveness in terms of cost, sample preparation, and interpretation of data, despite of their methodological limitations including the dependence on the existing knowledge on expressed sequence tags or genomic sequences (Sedighi and Li, <xref ref-type="bibr" rid="B85">2014</xref>; Martin et al., <xref ref-type="bibr" rid="B55">2016</xref>). Indeed, the current custom European sea bass microarray was able to evidence a pronounced transcriptional divergence of PI in relation to AI-MI segments, which was validated by qPCR of 29 selected genes representative of the main biological process and functions across the intestine. The magnitude of the transcriptional difference (5770 genes, <italic>P</italic> &#x0003C; 0.05; 1906 with a fold-change cutoff &#x0003D; 2) between the intestinal segments found in the current study is higher than that reported in most of the studies dealing with changes induced in fish intestine by different experimental approaches. Table <xref ref-type="table" rid="T4">4</xref> shows the number of DE intestinal genes in fish with different feeding habits, exposed to environmental stress, pathogens, or diet interventions. Although comparisons across studies in different species is always difficult, transcriptome differences found between the two intestinal segments are of the same order than those found when comparing different organs and tissues, either in fish or other animal models. To put it in a proper perspective, the intestinal segment differences found in European sea bass are comparable to those found among heart and red and white skeletal muscle in gilthead sea bream, with more than 3000 DE genes (Calduch-Giner et al., <xref ref-type="bibr" rid="B14">2014</xref>). Also, the level of DE probes among two different tissues in gene expression atlas of human and other model organisms is in the range of 50&#x02013;90% (Son et al., <xref ref-type="bibr" rid="B89">2005</xref>; Briggs et al., <xref ref-type="bibr" rid="B11">2011</xref>; Freeman et al., <xref ref-type="bibr" rid="B28">2012</xref>; Kapushesky et al., <xref ref-type="bibr" rid="B41">2012</xref>).</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p><bold>Fish transcriptomic profiling studies for the characterization of gut responses to environmental stress, pathogens, or diet interventions</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Feeding habit</bold></th>
<th valign="top" align="left"><bold>Fish species (Order)</bold></th>
<th valign="top" align="left"><bold>Intestinal segment<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></bold></th>
<th valign="top" align="left"><bold>Transcriptomic technique</bold></th>
<th valign="top" align="center"><bold>Experimental approach</bold></th>
<th valign="top" align="center"><bold>Experimental period</bold></th>
<th valign="top" align="left"><bold>DE genes</bold></th>
<th valign="top" align="left"><bold>References</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Carnivorous</td>
<td valign="top" align="left"><italic>Sparus aurata</italic> (Perciformes)</td>
<td valign="top" align="left">Posterior</td>
<td valign="top" align="left">Microarray</td>
<td valign="top" align="center">Parasite infection &#x000D7; diet intervention</td>
<td valign="top" align="center">102 days</td>
<td valign="top" align="left">359&#x02013;1392</td>
<td valign="top" align="left">Calduch-Giner et al., <xref ref-type="bibr" rid="B15">2012</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Posterior</td>
<td valign="top" align="left">Microarray</td>
<td valign="top" align="center">Parasite infection</td>
<td valign="top" align="center">113 days</td>
<td valign="top" align="left">371</td>
<td valign="top" align="left">Davey et al., <xref ref-type="bibr" rid="B18">2011</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left"><italic>Dicentrarchus labrax</italic> (Perciformes)</td>
<td valign="top" align="left">Hind gut</td>
<td valign="top" align="left">RNA-seq</td>
<td valign="top" align="center">Bacterial oral vaccination</td>
<td valign="top" align="center">135 days</td>
<td valign="top" align="left">366</td>
<td valign="top" align="left">Sarropoulou et al., <xref ref-type="bibr" rid="B83">2012</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left"><italic>Lates calcarifer</italic> (Perciformes)</td>
<td valign="top" align="left">n.a.</td>
<td valign="top" align="left">RNA-seq</td>
<td valign="top" align="center">Salinity exposure</td>
<td valign="top" align="center">3 days</td>
<td valign="top" align="left">1228</td>
<td valign="top" align="left">Xia et al., <xref ref-type="bibr" rid="B100">2013</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">n.a.</td>
<td valign="top" align="left">RNA-seq</td>
<td valign="top" align="center">LPS injection</td>
<td valign="top" align="center">8 days</td>
<td valign="top" align="left">1739</td>
<td valign="top" align="left">Xia et al., <xref ref-type="bibr" rid="B100">2013</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">n.a.</td>
<td valign="top" align="left">RNA-seq</td>
<td valign="top" align="center">Bacterial injection</td>
<td valign="top" align="center">8 days</td>
<td valign="top" align="left">1477</td>
<td valign="top" align="left">Xia et al., <xref ref-type="bibr" rid="B100">2013</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">n.a.</td>
<td valign="top" align="left">RNA-seq</td>
<td valign="top" align="center">Fasting</td>
<td valign="top" align="center">8 days</td>
<td valign="top" align="left">1080</td>
<td valign="top" align="left">Xia et al., <xref ref-type="bibr" rid="B100">2013</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left"><italic>Scophthalmus maximus</italic> (Pleuronectiformes)</td>
<td valign="top" align="left">Pyloric caeca</td>
<td valign="top" align="left">RNA-seq</td>
<td valign="top" align="center">Parasite infection</td>
<td valign="top" align="center">42 days</td>
<td valign="top" align="left">1413</td>
<td valign="top" align="left">Robledo et al., <xref ref-type="bibr" rid="B76">2014</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left"><italic>Salmo salar</italic> (Salmoniformes)</td>
<td valign="top" align="left">n.a.</td>
<td valign="top" align="left">Microarray</td>
<td valign="top" align="center">Diet intervention</td>
<td valign="top" align="center">55 weeks</td>
<td valign="top" align="left">1409</td>
<td valign="top" align="left">Morais et al., <xref ref-type="bibr" rid="B59">2012b</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">n.a.</td>
<td valign="top" align="left">Microarray</td>
<td valign="top" align="center">Genotype</td>
<td valign="top" align="center">55 weeks</td>
<td valign="top" align="left">1626</td>
<td valign="top" align="left">Morais et al., <xref ref-type="bibr" rid="B59">2012b</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Distal</td>
<td valign="top" align="left">Microarray</td>
<td valign="top" align="center">Diet intervention</td>
<td valign="top" align="center">8 weeks</td>
<td valign="top" align="left">33&#x02013;254</td>
<td valign="top" align="left">Kr&#x000F3;l et al., <xref ref-type="bibr" rid="B44">2016</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Distal</td>
<td valign="top" align="left">Microarray</td>
<td valign="top" align="center">Diet intervention</td>
<td valign="top" align="center">1, 2, 3, 5, 7 days</td>
<td valign="top" align="left">7&#x02013;48</td>
<td valign="top" align="left">Sahlmann et al., <xref ref-type="bibr" rid="B81">2013</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Distal</td>
<td valign="top" align="left">Microarray</td>
<td valign="top" align="center">Diet intervention</td>
<td valign="top" align="center">12 weeks</td>
<td valign="top" align="left">2664</td>
<td valign="top" align="left">De Santis et al., <xref ref-type="bibr" rid="B19">2015</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left"><italic>Oncorhynchus mykiss</italic> (Salmoniformes)</td>
<td valign="top" align="left">n.a.</td>
<td valign="top" align="left">Microarray</td>
<td valign="top" align="center">Viral oral vaccination</td>
<td valign="top" align="center">4 weeks</td>
<td valign="top" align="left">305</td>
<td valign="top" align="left">Do&#x000F1;ate et al., <xref ref-type="bibr" rid="B22">2010</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left"><italic>Oryzias latipes</italic> (Beloniformes)</td>
<td valign="top" align="left">n.a.</td>
<td valign="top" align="left">RNA-seq</td>
<td valign="top" align="center">Salinity exposure</td>
<td valign="top" align="center">1 h, 3 h, 1 day, 7 days</td>
<td/>
<td valign="top" align="left">Wong et al., <xref ref-type="bibr" rid="B99">2014</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left"><italic>Danio rerio</italic> (Cypriniformes)</td>
<td valign="top" align="left">Entire</td>
<td valign="top" align="left">RNA-seq</td>
<td valign="top" align="center">Diet intervention</td>
<td valign="top" align="center">21 days</td>
<td valign="top" align="left">328</td>
<td valign="top" align="left">Rurangwa et al., <xref ref-type="bibr" rid="B79">2015</xref></td>
</tr>
<tr style="border-bottom: thin solid #000000;">
<td/>
<td valign="top" align="left"><italic>Ictalurus punctatus</italic> (Siluriformes)</td>
<td valign="top" align="left">Entire</td>
<td valign="top" align="left">RNA-seq</td>
<td valign="top" align="center">Bacterial infection</td>
<td valign="top" align="center">3 h, 24 h, 3 days</td>
<td valign="top" align="left">693&#x02013;1035</td>
<td valign="top" align="left">Li et al., <xref ref-type="bibr" rid="B46">2012</xref></td>
</tr>
<tr>
<td valign="top" align="left">Herviborous</td>
<td valign="top" align="left"><italic>Oreochromis niloticus</italic> (Perciformes)</td>
<td valign="top" align="left">Anterior</td>
<td valign="top" align="left">RNA-seq</td>
<td valign="top" align="center">Salinity exposure</td>
<td valign="top" align="center">4 weeks</td>
<td valign="top" align="left">AI: 726</td>
<td valign="top" align="left">Ronkin et al., <xref ref-type="bibr" rid="B78">2015</xref></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">Posterior</td>
<td/>
<td/>
<td/>
<td valign="top" align="left">PI: 636</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left"><italic>Oreochromis mossambicus</italic> (Perciformes)</td>
<td valign="top" align="left">Anterior Posterior</td>
<td valign="top" align="left">RNA-seq</td>
<td valign="top" align="center">Salinity exposure</td>
<td valign="top" align="center">4 weeks</td>
<td valign="top" align="left">AI: 474 PI: 600</td>
<td valign="top" align="left">Ronkin et al., <xref ref-type="bibr" rid="B78">2015</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left"><italic>Ctenopharyngodon idella</italic> (Cypriniformes)</td>
<td valign="top" align="left">n.a.</td>
<td valign="top" align="left">RNA-seq</td>
<td valign="top" align="center">Diet intervention</td>
<td valign="top" align="center">70 days</td>
<td valign="top" align="left">2119</td>
<td valign="top" align="left">Li et al., <xref ref-type="bibr" rid="B47">2015</xref></td>
</tr>
<tr style="border-bottom: thin solid #000000;">
<td/>
<td/>
<td valign="top" align="left">n.a.</td>
<td valign="top" align="left">RNA-seq</td>
<td valign="top" align="center">Viral infection</td>
<td valign="top" align="center">2&#x02013;120 h</td>
<td valign="top" align="left">500 to &#x0003E; 1500</td>
<td valign="top" align="left">Shi et al., <xref ref-type="bibr" rid="B86">2014</xref></td>
</tr>
<tr>
<td valign="top" align="left">Omnivorous</td>
<td valign="top" align="left"><italic>Pangasianodon hypophthalmus</italic> (Siluriformes)</td>
<td valign="top" align="left">n.a.</td>
<td valign="top" align="left">RNA-seq</td>
<td valign="top" align="center">Salinity exposure</td>
<td valign="top" align="center">8 weeks</td>
<td valign="top" align="left">1013</td>
<td valign="top" align="left">Nguyen et al., <xref ref-type="bibr" rid="B63">2016</xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left"><italic>Gadus morhua</italic> (Gadiformes)</td>
<td valign="top" align="left">Mid gut</td>
<td valign="top" align="left">Microarray</td>
<td valign="top" align="center">Diet intervention</td>
<td valign="top" align="center">12 weeks</td>
<td valign="top" align="left">289</td>
<td valign="top" align="left">Morais et al., <xref ref-type="bibr" rid="B58">2012a</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1">
<label>&#x0002A;</label>
<p><italic>The nomenclature used in each reference has been kept; n.a., not available</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>At the morphological level, differences across the intestinal length have been described in teleosts, with a progressive decrease in the diameter, the density of mucosal foldings and goblet cells (main cell producers of mucus), whereas rodlet cells closely linked to osmoregulation and the immune system become more abundant in the posterior segment (Reite, <xref ref-type="bibr" rid="B74">2005</xref>; Ballester-Lozano et al., <xref ref-type="bibr" rid="B4">2015</xref>). In European sea bass, a different profile of digestive enzyme activities between the anterior and the posterior segments has been shown, being the activity of amylase, alkaline phosphatase, total alkaline proteases, and trypsin higher at the AI segment (Castro et al., <xref ref-type="bibr" rid="B16">2016</xref>). Functional and transcriptional compartmentalization of the digestive tract has also been described in zebrafish (<italic>Danio rerio</italic>), a stomachless teleost, with 2558 DE genes across the seven segments considered in that study (Wang et al., <xref ref-type="bibr" rid="B97">2010</xref>). Thus, the fish intestine has evolved as a complex tissue with a gradual change in nutrient absorptive capacity from AI to PI segments, whereas the posterior segment appears as part of the first line of defense against pathogens (L&#x000F8;kka et al., <xref ref-type="bibr" rid="B50">2014</xref>). The results reported herein indicate that this change is more gradual than initially envisaged, as some immune-relevant genes are much more expressed in the AI-MI segments than in PI, such as <italic>natterin-3-like</italic> and <italic>acidic mammalian chitinase</italic>. Natterin-like proteins contain a mannose-binding lectin-like domain that might act as a pathogen recognition protein with an important role in the acute-phase response of fish (Magnad&#x000F3;ttir, <xref ref-type="bibr" rid="B53">2006</xref>). Chitinases are primarily associated with the stomach, but they have also been found in the intestine with a role in food digestion and immune defense in several vertebrate species, including fish (Gutowska et al., <xref ref-type="bibr" rid="B34">2004</xref>; Tran et al., <xref ref-type="bibr" rid="B94">2011</xref>). Moreover, administration of recombinant chitinases boosts several serum immune parameters in orange-spotted grouper (<italic>Epinephelus coioides</italic>) (Zhang et al., <xref ref-type="bibr" rid="B101">2012</xref>). All these results point out the importance of antimicrobial function also in this intestinal portion. On the other hand, the PI also plays a key role in the reabsorption of bile salts and some micronutrients. This dualism is, thereby, of relevance when considering the regulation of the intestine as whole, as further discussed below for some particular genes or biological processes.</p>
<p>Fish intestine has been reported to progressively tighten from the anterior to the posterior part, and intestinal integrity and intercellular permeability is maintained by proteins, such as integrins, claudins, cadherins, and gap junction proteins (Tsukita et al., <xref ref-type="bibr" rid="B95">2001</xref>; Lu et al., <xref ref-type="bibr" rid="B52">2013</xref>). Genes encoding these proteins were largely represented in our microarray, although no clear distinctive differential expression pattern was detected with the established cutoff value. However, the expression profile of these intestinal markers was quite similar to that reported in gilthead sea bream (P&#x000E9;rez-S&#x000E1;nchez et al., <xref ref-type="bibr" rid="B67">2015</xref>). This finding suggests that the structure and function of tight junctions is maintained through the evolution of modern fish species, although some species differences can occur even when comparing close-related fish.</p>
<p>Functional network effector analysis clearly evidenced that active immune surveillance is a key role of the distal intestine of European sea bass, in comparison with the role of mammalian large intestine. This is probably due to fact that fish are continuously and directly exposed to a microbial-rich environment; e.g., 1 liter of marine water contains 10,000 million virus and 9000 million of bacteria (Fenical, <xref ref-type="bibr" rid="B26">1993</xref>; Fuhrman, <xref ref-type="bibr" rid="B30">1999</xref>). Thus, compared to terrestrial animals, they have to cope with high microbial loads. The immune cell repertoire of teleost intestine is governed by the gut-associated lymphoid tissue, and regional differences have already been reported (reviewed in Rombout et al., <xref ref-type="bibr" rid="B77">2011</xref>; Salinas and Parra, <xref ref-type="bibr" rid="B82">2015</xref>). In European sea bass, the predominance of T cells in the PI has been long established (Abelli et al., <xref ref-type="bibr" rid="B1">1997</xref>), and the intestinal regionalization of the expression of T cell-markers was suggested for the first time in a teleost in this marine fish (Picchietti et al., <xref ref-type="bibr" rid="B69">2011</xref>). Our present results confirm and expand these data with over-representation of several genes related to cell-mediated intestinal immunity in the PI segment. Similarly, a marked increase in neutrophil density was observed in intestinal segment 6 of zebrafish, in coincidence with an increase of the neutrophil-expressed genes and several cytokines implicated in intestinal immunity (Wang et al., <xref ref-type="bibr" rid="B97">2010</xref>). <italic>Cathepsin L-1</italic> also had the highest expression in segment 6, as <italic>cathepsin L-like</italic> in the PI of European sea bass. Cathepsin L family has multifunctional roles in many biochemical pathways of vertebrates, including intracellular protein degradation, antigen presentation, and cellular development (Zhou et al., <xref ref-type="bibr" rid="B103">2015</xref>). Nevertheless, their function in fish is just starting to be elucidated and further studies are needed to reveal if they have an immunological role in the intestine of fish. In addition, infection models in a wide-range of fish species have shown the importance of the local intestinal immune response (Estensoro et al., <xref ref-type="bibr" rid="B25">2012</xref>; Li et al., <xref ref-type="bibr" rid="B46">2012</xref>; P&#x000E9;rez-Cord&#x000F3;n et al., <xref ref-type="bibr" rid="B66">2014</xref>; Dezfuli et al., <xref ref-type="bibr" rid="B21">2015</xref>). In our study, the transcriptome of MI did not differ from that of AI, however, in a quantitative PCR analysis of 27 antimicrobial genes (Oehlers et al., <xref ref-type="bibr" rid="B65">2011</xref>), the MI exhibited elevated expression of <italic>dual oxidase</italic>, the <italic>defensin beta-like</italic>, and peptidoglycan recognition protein families, and also presented the highest numbers of leukocytes and endocytic cells, supporting a specialized immunological role. In agreement with this, <italic>beta-defensin</italic> was among the top DE genes in the PI of European sea bass.</p>
<p>As expected, the highest expression level of genes related to digestion was observed in the AI-MI segments, since an absorption gradient is present along the length of the intestine of all fish. Water-soluble nutrients are mostly absorbed in the pyloric caeca and the midgut (Sundell and R&#x000F8;nnestad, <xref ref-type="bibr" rid="B90">2011</xref>) and the majority of lipids are absorbed in these first segments with the concurrence of secreted bile salts to hydrolyse triglycerides to free fatty acids and glycerol. In coincidence with data from zebrafish (Wang et al., <xref ref-type="bibr" rid="B97">2010</xref>), several well-known molecular markers of mammalian small intestine, <italic>fabp2, apoa1</italic>, and <italic>vil1l</italic>, had a higher expression at the AI-MI segments than at PI in European sea bass (Table <xref ref-type="supplementary-material" rid="SM2">S2</xref>). Furthermore, we also found that the gene markers (<italic>fabp2</italic> and <italic>transcription factor gata5</italic>) found to be stable across the five most proximal segments of adult zebrafish (Oehlers et al., <xref ref-type="bibr" rid="B65">2011</xref>), were higher in AI-MI segments than in the PI one. Typically, bile acids continue along the whole intestine and are absorbed by enterocytes of the PI segment and are transported to the liver as a part of the enterohepatic circulation. This process ensures the rapid turnover of bile acids by the participation of gastrotropin (also termed <italic>ileal lipid-binding protein or fatty acid-binding protein 6, fabp6</italic>), which is exclusively expressed in the intestine of mammals (Gong et al., <xref ref-type="bibr" rid="B33">1994</xref>; Fujita et al., <xref ref-type="bibr" rid="B31">1995</xref>; Besnard et al., <xref ref-type="bibr" rid="B10">2002</xref>). The higher expression of <italic>gastrotropin</italic> in the PI segment of European sea bass is consistent with previous results in zebrafish (Alves-Costa et al., <xref ref-type="bibr" rid="B2">2008</xref>; Oehlers et al., <xref ref-type="bibr" rid="B65">2011</xref>) and gilthead sea bream (P&#x000E9;rez-S&#x000E1;nchez et al., <xref ref-type="bibr" rid="B67">2015</xref>), in which the detection of <italic>gastrotropin</italic> transcripts was exclusive to the distal portions of intestine. The enterohepatic circulation also serves to efficiently use the water-soluble vitamin, vitamin B12. This vitamin plays a key role in the normal functioning of the brain and nervous system, and it is synthesized exclusively by bacteria in the gut (Raux et al., <xref ref-type="bibr" rid="B72">2000</xref>). Deficiency of this vitamin results in decreased growth, anemia and abnormal fish behavior (NRC, <xref ref-type="bibr" rid="B61">2011</xref>), and the dietary replacement of fish meal by plant proteins is accompanied by an increased risk of vitamin B12 deficiency in Atlantic cod (Hansen et al., <xref ref-type="bibr" rid="B35">2007</xref>). The underlying regulatory mechanisms remain to be established in fish, but the observed high expression of vitamin B12 binders (<italic>gastric intrinsic factor-like protein, transcobalamin-2</italic>) and binder-vitamin complex receptors (<italic>protein amnionless, cubilin</italic>) in the PI of European sea bass ensures an efficient intestinal uptake and absorption of this essential micronutrient.</p>
<p>Our results also indicate a different expression pattern of GPCRs throughout the AI-MI and PI. GPCRs are the largest family of signaling receptors in vertebrates and most of them are ubiquitously expressed in the enteroendocrine cells of the GI tract. The presence of these receptors along the gut constitutes a key gastrointestinal chemosensory system for the regulation of appetite, nutrient digestion, intestinal motility, and mucosal defense mechanisms, contributing to the integration of a vast array of pathways linking the gut with the brain and metabolically active tissues (Reimann et al., <xref ref-type="bibr" rid="B73">2012</xref>). In this study, the GPCR with the highest intestine spatial regulation (upregulated in the AI-MI) was <italic>GPR39</italic>. This is an orphan receptor that belongs to the ghrelin/motilin receptor subfamily, and it is emerging as an important regulator of gastrointestinal motility and secretion (Depoortere, <xref ref-type="bibr" rid="B20">2012</xref>). Two forms of <italic>GPR39</italic> have been characterized in black sea bream (<italic>Acanthopagrus schlegeli</italic>), and intestinal expression of <italic>sbGPR39-1a</italic> was found to decrease significantly during food deprivation (Zhang et al., <xref ref-type="bibr" rid="B102">2008</xref>). Another orphan receptor, <italic>GPR112</italic>, was highly DE in the AI-MI of European sea bass. This GPCR was also highly expressed in the intestinal mucosal layer of zebrafish (Harty et al., <xref ref-type="bibr" rid="B36">2015</xref>) and rodents (Ito et al., <xref ref-type="bibr" rid="B39">2009</xref>; Badiali et al., <xref ref-type="bibr" rid="B3">2012</xref>). <italic>NPBWR1</italic> and <italic>NPBWR2</italic> were also differentially upregulated in the AI-MI of European sea bass. Neuropeptide B and neuropeptide W are both endogenous peptide ligands for NPBWR1 and NPBWR2, which are key players in the regulation of feeding and energy metabolism (Mondal et al., <xref ref-type="bibr" rid="B57">2003</xref>; Tanaka et al., <xref ref-type="bibr" rid="B92">2003</xref>). These neuropeptides are mostly expressed in the brain, although a high expression of <italic>neuropeptide B</italic> has also been found in the intestine of medaka (<italic>Oryzias latipes</italic>) (Hiraki et al., <xref ref-type="bibr" rid="B37">2014</xref>). Another GPCR with a high level of expression in the AI-MI of European sea bass was <italic>ADRA2C</italic>, a known ligand for norepinephrine and epinephrine (Lefkowitz and Caron, <xref ref-type="bibr" rid="B45">1988</xref>). The regulatory role of alpha adrenergic receptors in the proliferation of intestinal epithelial crypt cells is well known in mammals (Schaak et al., <xref ref-type="bibr" rid="B84">2000</xref>) and their tissue expression patterns parallel those of their mammalian orthologs in zebrafish (Ruuskanen et al., <xref ref-type="bibr" rid="B80">2005</xref>) and perhaps, European sea bass.</p>
<p>Regarding the upregulated GPCRs in the PI segment, many of them were involved in cell proliferation and immune response. The exception was the orphan receptor <italic>GPR97</italic>, with a lowered expression in the PI of European sea bass despite its proven role in the remodeling of lymphatic cells of the mouse intestine (Valtcheva et al., <xref ref-type="bibr" rid="B96">2013</xref>). This contrasted with the observation that <italic>FZD10</italic>, a receptor for molecules in the Wnt pathway that is a good marker of colorectal tumors in humans (Nagayama et al., <xref ref-type="bibr" rid="B62">2009</xref>), was the most upregulated GPCR in the PI of European sea bass. Another highly and differentially expressed GPCR at PI was the <italic>hydrocarboxylic acid receptor 2</italic>, also termed <italic>GPR109</italic>. This receptor has anti-inflammatory properties acting as the metabolite sensor of butyrate, the end product of the microbial fermentation of dietary fiber (Singh et al., <xref ref-type="bibr" rid="B87">2014</xref>). This short-chain fatty acid has been considered a promising feed additive in aquaculture, improving the immunological status and intestinal condition in carp (<italic>Cyprinus carpio</italic>) (Liu et al., <xref ref-type="bibr" rid="B48">2014</xref>). Recent data also support the promising effects of butyrate supplementation in European sea bass, and Rimoldi and co-workers have found reported improved growth and increased gene expression of the <italic>oligopeptide transporter 1</italic> (<italic>PEPT1</italic>) in the hindgut of fish fed low-fish meal diets (unpublished). Other GPCRs that showed increased expression levels in the PI of European sea bass were <italic>GPR84, GPR63</italic>, and <italic>GPR18</italic>. GPR84 is a putative receptor of medium-chain fatty acids that mediates proinflammatory responses in human myeloid cells (Suzuki et al., <xref ref-type="bibr" rid="B91">2013</xref>), whereas GPR63 binds phosphatidic acid and is also involved in the inflammatory response (Kostenis, <xref ref-type="bibr" rid="B43">2004</xref>). Lastly, <italic>GPR18</italic>, also known as N-arachidonyl glycine receptor, is ubiquitously expressed in channel catfish (<italic>Ictalurus punctatus</italic>) tissues, and its immunostimulatory action in response to infection with <italic>Aeromonas hydrophila</italic> has been proven (Pridgeon and Klesius, <xref ref-type="bibr" rid="B70">2013</xref>).</p>
<p>In summary, the functional phenotyping at the molecular level of the intestinal tract of European sea bass has been assessed with a specific oligo-microarray. Similar molecular signatures were found for AI and MI segments, that were clearly different to PI one. The consistency of this finding was highly supported by qPCR results for the genes selected as representative markers of several functions or processes, including intestinal permeability, macronutrient and micronutrient digestion and absorption, immune response and intestinal chemosensing. With the available transcriptomic data, we can match the AI-MI segments of European sea bass to the small intestine of mammals and the first segments of zebrafish (segments 1&#x02013;5 as defined in Wang et al., <xref ref-type="bibr" rid="B97">2010</xref>, 1&#x02013;4 as defined in Oehlers et al., <xref ref-type="bibr" rid="B65">2011</xref>), whereas the PI of European sea bass would correspond to the large intestine of mammals and last segments of zebrafish (segments 6&#x02013;7 as in Wang et al., <xref ref-type="bibr" rid="B97">2010</xref>, or segment 6 as in Oehlers et al., <xref ref-type="bibr" rid="B65">2011</xref>). In any case, fish gut transcriptome should not be considered a static feature, and significant changes and evolution could be envisaged not only in a spatial basis, but also related to changes in season and feeding regimes. In this sense, further work is necessary, not only in European sea bass, but in other fish species of interest, to establish the precise tuning of intestine plasticity from a transcriptional and functional perspective.</p>
</sec>
<sec id="s5">
<title>Author contributions</title>
<p>AS and JP conceived and designed the experiment. JC sampled animals and performed RNA extractions. JC and JP analyzed microarray data. JC, AS, and JP wrote the manuscript.</p>
</sec>
<sec>
<title>Funding</title>
<p>This work was funded by the EU seventh Framework Programme by the ARRAINA (Advanced Research Initiatives for Nutrition and Aquaculture; KBBE-2011-288925) project. It does not necessarily reflect the views of the EU and in no way anticipates the Commission&#x00027;s future policy in this area. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. Additional funding was obtained from the Spanish Ministerio de Econom&#x000ED;a y Competitividad through the MI2-FISH project (Unraveling Metabolic, Intestinal and Immunopathological Fish Status; AGL2013-48560) and Generalitat Valenciana (PROMETEO FASE II-2014/085).</p>
<sec>
<title>Conflict of interest statement</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</sec>
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<sec sec-type="supplementary-material" id="s6">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="http://journal.frontiersin.org/article/10.3389/fphys.2016.00359">http://journal.frontiersin.org/article/10.3389/fphys.2016.00359</ext-link></p>
<supplementary-material xlink:href="Table1.PDF" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table2.PDF" id="SM2" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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