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  <front>
    <journal-meta>
<journal-id journal-id-type="publisher">AAB</journal-id>
<journal-title-group>
<journal-title>Archives Animal Breeding</journal-title>
<abbrev-journal-title abbrev-type="publisher">AAB</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Arch. Anim. Breed.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2363-9822</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>

    <article-meta>
      <article-id pub-id-type="doi">10.5194/aab-59-259-2016</article-id><title-group><article-title>Differential expression of six genes in fat-type Hungarian Mangalica and
other pigs</article-title>
      </title-group><?xmltex \runningtitle{Gene expression in Mangalica and other pigs}?><?xmltex \runningauthor{K. Tempfli et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Tempfli</surname><given-names>Károly</given-names></name>
          <email>tempfli.karoly@sze.hu</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Kiss</surname><given-names>Barbara</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Szalai</surname><given-names>Klaudia</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Simon</surname><given-names>Zoltán</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Pongrácz</surname><given-names>László</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Bali Papp</surname><given-names>Ágnes</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Department of Animal Sciences, Széchenyi István University,
Mosonmagyaróvár, 9200, Hungary</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Olmos and Tóth Ltd., Debrecen, 4025, Hungary</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Károly Tempfli (tempfli.karoly@sze.hu)</corresp></author-notes><pub-date><day>14</day><month>June</month><year>2016</year></pub-date>
      
      <volume>59</volume>
      <issue>2</issue>
      <fpage>259</fpage><lpage>265</lpage>
      <history>
        <date date-type="received"><day>26</day><month>January</month><year>2016</year></date>
           <date date-type="rev-recd"><day>31</day><month>May</month><year>2016</year></date>
           <date date-type="accepted"><day>7</day><month>June</month><year>2016</year></date>
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/3.0/">http://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions><self-uri xlink:href="https://aab.copernicus.org/articles/59/259/2016/aab-59-259-2016.html">This article is available from https://aab.copernicus.org/articles/59/259/2016/aab-59-259-2016.html</self-uri>
<self-uri xlink:href="https://aab.copernicus.org/articles/59/259/2016/aab-59-259-2016.pdf">The full text article is available as a PDF file from https://aab.copernicus.org/articles/59/259/2016/aab-59-259-2016.pdf</self-uri>


      <abstract>
    <p>In order to identify potential variances in gene expression of phenotypically
different pig breeds, six fat-metabolism-related genes were analyzed in
backfat and muscle tissues of fat-type Mangalica (MAN), Mangalica <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> Duroc (MD),
and lean-type Hungarian Large White (HLW) and Pietrain <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> Duroc (PD)
pigs by means of quantitative reverse transcription PCR (qRT-PCR).
Higher (<inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> &lt; 0.05) adipocyte fatty-acid-binding protein
(<italic>A-FABP</italic>) expression was observed in backfat and muscle tissues of
purebred and crossbred MAN than in those of HLW and PD. In all breeds and
crosses, adiponectin (<italic>ADIPOQ</italic>) was predominantly expressed in backfat
at a similar level (<inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> &gt; 0.05), whereas muscle
<italic>ADIPOQ</italic> expression was highest (<inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> &lt; 0.05) in MAN and
MD. Levels of fatty acid synthase (<italic>FASN</italic>) mRNA were greatest in MAN,
moderate in MD, and lowest in HLW and PD backfat and muscle. The fat mass and
obesity-associated gene (<italic>FTO</italic>) was more abundant in MAN and MD
backfat, whereas muscle expressions did not differ (<inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> &gt; 0.05)
between breeds. Regarding leptin (<italic>LEP</italic>) expression, MAN
produced the greatest levels in backfat, while HLW produced the lowest. In muscle,
highest <italic>LEP</italic> was detected in MAN and MD. Between groups, perilipin 2
(<italic>PLIN2</italic>) was expressed similarly in backfat; however, <italic>PLIN2</italic>
was more abundant in muscle of MAN and MD than in that of HLW and PD.
Differences in gene expression can contribute to the development of the
characteristic fatty phenotype in MAN pigs. The identification of
differentially expressed genes facilitates targeted sequencing and genotyping
efforts for further studies.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>The hypothesis of the study was that the expression of the six selected fat-metabolism-related genes is different between the experimental breeds and
crosses that differ characteristically in fat content, growth rate, and body
composition. The indigenous Hungarian fat-type Mangalica (MAN) provides unique
possibilities to compare gene expression patterns with commercial modern pig
breeds selectively developed for lean pork production. By the possible
identification of genes with major expression differences, this study aimed
to generate valuable information for the explanation of the genetic
background behind the spectacularly unique fatty phenotype of MAN.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><caption><p>BFT, LD, LW, ADG, and age in the analyzed groups (<inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>),
presented as mean <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> SD</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="center"/>
     <oasis:colspec colnum="3" colname="col3" align="center"/>
     <oasis:colspec colnum="4" colname="col4" align="center"/>
     <oasis:colspec colnum="5" colname="col5" align="center"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Trait*</oasis:entry>  
         <oasis:entry colname="col2">MAN (12)</oasis:entry>  
         <oasis:entry colname="col3">MD (12)</oasis:entry>  
         <oasis:entry colname="col4">HLW (10)</oasis:entry>  
         <oasis:entry colname="col5">PD (4)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">BFT (mm)</oasis:entry>  
         <oasis:entry colname="col2">50.7 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5.5</oasis:entry>  
         <oasis:entry colname="col3">43.5 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5.1</oasis:entry>  
         <oasis:entry colname="col4">34.3 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5.1</oasis:entry>  
         <oasis:entry colname="col5">35.1 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5.8</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">LD (mm)</oasis:entry>  
         <oasis:entry colname="col2">46.3 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5.0</oasis:entry>  
         <oasis:entry colname="col3">53.8 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5.3</oasis:entry>  
         <oasis:entry colname="col4">55.4 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4.7</oasis:entry>  
         <oasis:entry colname="col5">63.3 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6.3</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">LW (kg)</oasis:entry>  
         <oasis:entry colname="col2">126 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 8.3</oasis:entry>  
         <oasis:entry colname="col3">131 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 8.1</oasis:entry>  
         <oasis:entry colname="col4">121 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 8.5</oasis:entry>  
         <oasis:entry colname="col5">124 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 9.0</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">ADG (g day<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col2">592 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 67</oasis:entry>  
         <oasis:entry colname="col3">707 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 63</oasis:entry>  
         <oasis:entry colname="col4">755 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 71</oasis:entry>  
         <oasis:entry colname="col5">772 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 83</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Age (day)</oasis:entry>  
         <oasis:entry colname="col2">262 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 12</oasis:entry>  
         <oasis:entry colname="col3">229 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 10</oasis:entry>  
         <oasis:entry colname="col4">197 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 14</oasis:entry>  
         <oasis:entry colname="col5">188 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 16</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p>* BFT: backfat thickness; LD: loin diameter; LW: live weight; ADG: average
daily gain during fattening.</p></table-wrap-foot></table-wrap>

      <p>The MAN belongs to the very limited number of fat-type pig breeds that still
exist today, with extreme fat content in carcass that reaches up to
60–70 %. Lean meat, on the other hand, generally contains less than 40 %. The
curly-haired MAN breed came close to extinction in the 1970s due to changing
customer expectations (i.e., increased need for leaner pork) and the
emergence of meat-type breeds (Rátky et al., 2013). Currently, the MAN
population is being restored and is getting intense attention in quality
pork production due to its extended intramuscular fat (IMF) deposition. The
IMF content is one of the most important determining factors regarding meat
quality as it is positively associated with savoriness and tenderness
(Fernandez et al., 1999). To improve growth and lean meat percentage of
progenies, Duroc boars are occasionally mated with MAN sows for commercial
fattening pig production (Tempfli et al., 2015). In the cross breedings, Duroc
provides increased meat production while virtually maintaining meat quality
and marbled pork. The Hungarian Large White (HLW) breed was included in the study because it is one
of the most common maternal breeds used in Hungary. HLW is predominantly
known for good reproductive performance while producing sufficient lean
meat. The Pietrain and Duroc breeds, on the other hand, are outstanding in
lean meat production; however, they generally lag behind HLW regarding
reproductive traits.</p>
      <p>Just a few decades ago, adipose tissue was considered merely as an inert
depot to store lipids as an energy source; however, adipose tissue is presently
acknowledged as an endocrinologically active tissue that greatly contributes
to the regulation of several biological processes, including energy
expenditure or feed intake through releasing hormones such as leptin or
adiponectin (Matsubara et al., 2002). In order to compare the expression of
some physiologically important regulating factors at the mRNA level, six
genes were selected for analysis based on their candidate roles in
controlling feed intake, lipogenesis, fatty acid transportation, or
intramuscular fat accumulation (Cho al., 2011; Chen et al., 2013; Cirera
et al., 2014).</p>
</sec>
<sec id="Ch1.S2">
  <title>Materials and methods</title>
<sec id="Ch1.S2.SS1">
  <title>Experimental animals and sampling</title>
      <p>Four different breeds and crosses of various origin were chosen with
characteristically different body fat content and body composition: purebred
Blonde MAN (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 12), Mangalica <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> Duroc (MD) (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 12), HLW (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 10), and Pietrain <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> Duroc (PD) (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 4). Backfat
(subcutaneous fat from the fourth rib) and muscle (m. levator scapulae) samples were
collected from gilts at a local abattoir and then put into RNase-free
freezer vials within 45 min after slaughter. Filled vials were immediately
submerged in liquid N<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> to avoid extended RNase exposure and
degradation. Samples were transported and stored in liquid N<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
containers pending processing. Traits (BFT: backfat thickness; LD: loin
diameter; LW: live weight; ADG: average daily gain during fattening; and
age) of the experimental animals were also recorded (Table 1). When
experimenting with MAN and modern commercial breeds, an ever-emerging
question is when to compare the animals – at identical weight or age – because
it is practically not feasible to acquire both at the same time, even under
identical housing and feeding conditions. In this study, animals were
selected to be of similar live weight rather than of similar age; however,
age can also be an important factor affecting gene expression and protein
levels (Christoffersen et al., 2010; Ren et al., 2005). Further studies with
modified experimental design are needed to assess age-dependent changes in
MAN and other breeds.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>RNA isolation, qRT-PCR, and statistical analysis</title>
      <p>Total RNA was isolated using TRIzol Reagent (Thermo Fisher Scientific, USA)
and 1-bromo-3-chloropropane (VWR International, USA). Three isolations were
carried out for every experimental animal and for each tissue. Samples
(150–200 mg) were processed with TissueLyser LT (Qiagen, Germany) for each
isolation. Concentration of RNA was determined by means of a NanoDrop 2000
spectrophotometer (Thermo Fisher Scientific). Integrity of RNA diluted in
DEPC-treated nuclease-free water was verified by agarose gel electrophoresis
and ethidium bromide staining (Fig. S1 in the Supplement). The RNA yields greatly varied
between tissues; backfat RNA yields were typically below 200 ng <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>,
whereas muscle RNA yields were approximately 1.5 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>L<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. To avoid
potential DNA contamination, isolated RNA was treated with RQ1 RNase-free
DNase (Promega, USA) following the manufacturer's instructions. According to
the manufacturer's recommendations, 1 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g of each total RNA sample was
reverse-transcribed using an iScript cDNA synthesis kit (Bio-Rad, USA)
containing a blend of oligo (d<inline-formula><mml:math display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>) and random hexamer primers. Gene expression
was quantified by qPCR using SsoFast EvaGreen Supermix (Bio-Rad) and the
2<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>C</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msup></mml:math></inline-formula> method. Reactions were performed in triplicates
on a CFX96 real-time PCR detection system (Bio-Rad) using clear plates. In the
experiments, <inline-formula><mml:math display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula>-actin (<italic>ACTB</italic>) was used as a reference gene (Luo et al., 2009). The
sequences of the primers applied, product lengths, accession numbers,
relevant annealing temperatures, and efficiency of PCRs are shown in Table 2. For each gene, the efficiency was determined by 10-fold serial dilutions
(“standards”) of the PCR products. Every run contained no template controls
(NTCs) for the analyzed and the reference genes as well. The NTCs were
accepted as negative with threshold cycles over 35, as quantitation cycles were
always prior to this cycle. Thermal profile was as follows: one initial
denaturation cycle at 95 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C for 5 min, followed by 40 two-step
cycles of 95 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C for 30 s and gene-specific annealing temperature
(Table 2) for 30 s. After the last cycle, melting curve analysis was
performed (from 65 to 95 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, with 0.5 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C increments) to
verify specificity of the amplified products.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><caption><p>Primer sequences, length of PCR products, gene accession
numbers, annealing temperatures (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mtext>a</mml:mtext></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, and PCR efficiency (mean <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> SD)</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="6">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="156.490157pt"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="left"/>
     <oasis:colspec colnum="5" colname="col5" align="left"/>
     <oasis:colspec colnum="6" colname="col6" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Gene</oasis:entry>  
         <oasis:entry colname="col2">Primer sequence (5'-3')</oasis:entry>  
         <oasis:entry colname="col3">Length (bp)</oasis:entry>  
         <oasis:entry colname="col4">Accession number</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mtext>a</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C)</oasis:entry>  
         <oasis:entry colname="col6">Efficiency (%)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"><italic>A-FABP</italic><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>d</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">F: CAG GAA AGT CAA GAG CAC CA <?xmltex \hack{\hfill\break}?>R: TCG GGA CAA TAC ATC CAA CA</oasis:entry>  
         <oasis:entry colname="col3">227</oasis:entry>  
         <oasis:entry colname="col4">AJ416020</oasis:entry>  
         <oasis:entry colname="col5">58</oasis:entry>  
         <oasis:entry colname="col6">92.2 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3.1</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"><italic>ADIPOQ</italic><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">F: CGA GAA GGG TGA GAA AGG AG <?xmltex \hack{\hfill\break}?>R: TAG GCG CTT TCT CCA GGT TC</oasis:entry>  
         <oasis:entry colname="col3">123</oasis:entry>  
         <oasis:entry colname="col4">AY135647</oasis:entry>  
         <oasis:entry colname="col5">55</oasis:entry>  
         <oasis:entry colname="col6">84.7 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4.3</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"><italic>FASN</italic><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>d</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">F: AGC CTA ACT CCT CGC TGC AAT <?xmltex \hack{\hfill\break}?>R: TCC TTG GAA CCG TCT GTG TTC</oasis:entry>  
         <oasis:entry colname="col3">196</oasis:entry>  
         <oasis:entry colname="col4">AY183428</oasis:entry>  
         <oasis:entry colname="col5">58</oasis:entry>  
         <oasis:entry colname="col6">95.7 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5.7</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"><italic>FTO</italic><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">F: CAG CAG TGG CAG CTG AAA TA <?xmltex \hack{\hfill\break}?>R: TGA CAA GGT CCC GAA ATA AG</oasis:entry>  
         <oasis:entry colname="col3">133</oasis:entry>  
         <oasis:entry colname="col4">AM905422</oasis:entry>  
         <oasis:entry colname="col5">54</oasis:entry>  
         <oasis:entry colname="col6">89.4 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4.0</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"><italic>LEP</italic><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">F: TGA CAC CAA AAC CCT CAT CA <?xmltex \hack{\hfill\break}?>R: ATG AAG TCC AAA CCG GTG AC</oasis:entry>  
         <oasis:entry colname="col3">102</oasis:entry>  
         <oasis:entry colname="col4">NM_213840</oasis:entry>  
         <oasis:entry colname="col5">55</oasis:entry>  
         <oasis:entry colname="col6">98.8 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5.3</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"><italic>PLIN2</italic><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">F: ATC ACT GAG GTG GTG GAC AAG <?xmltex \hack{\hfill\break}?>R: GCT GCA TCA TCC GAC TTC C</oasis:entry>  
         <oasis:entry colname="col3">112</oasis:entry>  
         <oasis:entry colname="col4">NM_214200</oasis:entry>  
         <oasis:entry colname="col5">59</oasis:entry>  
         <oasis:entry colname="col6">92.6 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6.5</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>ACTB</italic><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>c</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">F: CCA GGT CAT CAC CAT CGG <?xmltex \hack{\hfill\break}?>R: CCG TGT TGG CGT AGA GGT</oasis:entry>  
         <oasis:entry colname="col3">158</oasis:entry>  
         <oasis:entry colname="col4">AY550069</oasis:entry>  
         <oasis:entry colname="col5">–</oasis:entry>  
         <oasis:entry colname="col6">91.3 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 7.2</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula> As in Cirera et al. (2014); <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula> as in Davoli et al. (2011); <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>c</mml:mtext></mml:msup></mml:math></inline-formula> as in Luo et al. (2009); <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>d</mml:mtext></mml:msup></mml:math></inline-formula> as in Zhao et al. (2009).</p></table-wrap-foot></table-wrap>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T3" specific-use="star"><caption><p>Normalized fold expression (mean <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> SEM) of <italic>A-FABP</italic>,
<italic>ADIPOQ</italic>, <italic>FASN</italic>, <italic>FTO</italic>, <italic>LEP</italic>, and <italic>PLIN2</italic> genes in backfat and muscle tissues of MAN, MD, HLW, and PD
pigs.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="6">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="center"/>
     <oasis:colspec colnum="4" colname="col4" align="center"/>
     <oasis:colspec colnum="5" colname="col5" align="center"/>
     <oasis:colspec colnum="6" colname="col6" align="center"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Gene</oasis:entry>  
         <oasis:entry colname="col2">Tissue</oasis:entry>  
         <oasis:entry colname="col3">MAN</oasis:entry>  
         <oasis:entry colname="col4">MD</oasis:entry>  
         <oasis:entry colname="col5">HLW</oasis:entry>  
         <oasis:entry colname="col6">PD</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>A-FABP</italic></oasis:entry>  
         <oasis:entry colname="col2">Backfat</oasis:entry>  
         <oasis:entry colname="col3">6.63 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.41<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">6.08 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.35<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">4.45 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.25<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">4.53 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.37<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Muscle</oasis:entry>  
         <oasis:entry colname="col3">1.00 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.08<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">0.87 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.08<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">0.54 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">0.55 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.12<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>ADIPOQ</italic></oasis:entry>  
         <oasis:entry colname="col2">Backfat</oasis:entry>  
         <oasis:entry colname="col3">36.02 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.27</oasis:entry>  
         <oasis:entry colname="col4">33.40 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.43</oasis:entry>  
         <oasis:entry colname="col5">35.83 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.50</oasis:entry>  
         <oasis:entry colname="col6">34.12 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3.26</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Muscle</oasis:entry>  
         <oasis:entry colname="col3">0.54 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.03<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">0.51 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.04<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">0.23 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.02<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">0.25 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.04<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>FASN</italic></oasis:entry>  
         <oasis:entry colname="col2">Backfat</oasis:entry>  
         <oasis:entry colname="col3">8.91 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.39<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">7.04 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.44<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">5.43 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.31<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>c</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">5.57 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.39<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>c</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Muscle</oasis:entry>  
         <oasis:entry colname="col3">0.79 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.05<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">0.73 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.05<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">0.44 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.03<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">0.39 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.04<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>FTO</italic></oasis:entry>  
         <oasis:entry colname="col2">Backfat</oasis:entry>  
         <oasis:entry colname="col3">3.41 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.25<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">3.67 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.23<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">2.35 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.15<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">2.43 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.28<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Muscle</oasis:entry>  
         <oasis:entry colname="col3">0.64 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.05</oasis:entry>  
         <oasis:entry colname="col4">0.58 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.07</oasis:entry>  
         <oasis:entry colname="col5">0.53 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.06</oasis:entry>  
         <oasis:entry colname="col6">0.48 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.10</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>LEP</italic></oasis:entry>  
         <oasis:entry colname="col2">Backfat</oasis:entry>  
         <oasis:entry colname="col3">12.40 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.85<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">8.11 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.61<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">5.53 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.47<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>c</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">6.83 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.58<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>bc</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Muscle</oasis:entry>  
         <oasis:entry colname="col3">4.48 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.37<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">3.99 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.42<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">2.10 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.18<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">2.41 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.33<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>PLIN2</italic></oasis:entry>  
         <oasis:entry colname="col2">Backfat</oasis:entry>  
         <oasis:entry colname="col3">1.23 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.08</oasis:entry>  
         <oasis:entry colname="col4">1.29 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.15</oasis:entry>  
         <oasis:entry colname="col5">1.13 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.12</oasis:entry>  
         <oasis:entry colname="col6">1.21 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.18</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Muscle</oasis:entry>  
         <oasis:entry colname="col3">2.44 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.15<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">2.30 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.17<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">1.43 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.14<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">1.52 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.21<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a, b, c</mml:mtext></mml:msup></mml:math></inline-formula> Within rows, different letters indicate significant (<inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> &lt; 0.05) difference.</p></table-wrap-foot></table-wrap>

      <p>Expression data were analyzed by one-way ANOVA (Tukey's) test in SPSS v.16
for Windows (SPSS Inc.) and means were considered significantly different at
<inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> &lt; 0.05. Pearson's correlation between gene expression and production traits
was also determined. Throughout the study, animal handling and sampling were
conducted in accordance with the standards recommended by Directive
2010/63/EU.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Results and discussion</title>
      <p>The expression of six fat-metabolism-related genes was analyzed by means of
quantitative reverse transcription PCR (qRT-PCR), and <inline-formula><mml:math display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula>-actin-normalized expressions were compared between different
groups of pigs. The length of qPCR products was checked by agarose gel
electrophoresis to identify DNA contamination or possible alternative
splicing events; however, no unexpected products or splicing variants were
detected.</p>
<sec id="Ch1.S3.SS1">
  <?xmltex \opttitle{\textit{A-FABP} expression}?><title><italic>A-FABP</italic> expression</title>
      <p>In every breed and cross, adipocyte fatty-acid-binding protein (<italic>A-FABP</italic>) (or <italic>FABP4</italic>) was predominantly active in backfat and
less abundant in muscle (<inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> &lt; 0.05). Similar distribution between muscle
and adipose tissue has formerly been described in MD crossbred pigs (Tempfli
et al., 2015). The four analyzed groups appeared to be clearly separated
based on the <italic>A-FABP</italic> transcript level: higher (<inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> &lt; 0.05) expression was
detected in adipose as well as in muscle tissues of MAN and MD than in those
of HLW and PD (Table 3). <italic>A-FABP</italic> plays a central role in intracellular desorption
and transport of fatty acids from the plasma membrane to the cytoplasm (the
site of triacylglycerol and phospholipid synthesis) and to the mitochondria
(the site of beta oxidation) and is considered a candidate gene for fat
deposition in swine (Chmurzynska, 2006). Consistent with the present
results, Zhao et al. (2009) detected higher <italic>A-FABP</italic> transcript levels in muscle of
the local Chinese Wujin, a fatty pig breed compared to the leaner Landrace,
indicating that leaner breeds can transport fewer fatty acids through
intracellular trafficking, resulting in less extended IMF. Expression of
<italic>A-FABP</italic> was positively correlated with IMF content in purebred and Large White
crossbred Chinese Laiwu Black pigs, where <italic>A-FABP</italic> transcript levels increased
rapidly with the body weight until 60–70 kg and then remained at high
levels in both breeds analyzed (Chen et al., 2013). In the present study, no
measurements were taken to determine IMF content; however, the MAN is well
known for marbled pork production and is generally characterized by
largely elevated IMF compared to other breeds (Holló et al., 2009; Koncz
et al., 2014). Furthermore, BFT is positively correlated with IMF content in
pigs (Jacyno et al., 2015), and greatest BFT was measured in the MAN group
(Table 1).</p>
      <p><italic>A-FABP</italic> was found to be upregulated in a selected high-fat line of Duroc pigs when compared to the low-fat Duroc group (Canovas et al., 2010). Differential
<italic>A-FABP</italic> expression was also detected between Berkshire and Yorkshire pigs, where
highest levels were measured in Berkshire, a breed well known for marbled
pork production and IMF deposition (Cho et al., 2011). No such correlations
were identified in Large White <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> Landrace animals (Gerbens et al.,
2001); however, <italic>A-FABP</italic> content in muscle was remarkably greater in pigs with
increased IMF than in those with low IMF content; furthermore, positive
correlation was identified between <italic>A-FABP</italic> level and adipocyte number and lipid
content (Damon et al., 2006). Similarly, a moderately strong positive
correlation was observed between BFT and <italic>A-FABP</italic> levels in the present study (Table 4),
whereas LD and ADG were negatively correlated to <italic>A-FABP</italic> expression.</p>
      <p>In cases where a lack of correlation was detected between <italic>A-FABP</italic> mRNA and protein
levels, an occurrence of post-transcriptional protein–protein interaction
mechanisms was hypothesized (Damon et al., 2006). In the present study,
A-FABP mRNA levels of purebred and Duroc crossbred MAN were highest (<inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> &lt; 0.05) in both backfat and muscle; however, protein abundance was not
investigated. Further experiments are needed to analyze the relationship
between gene expression and actual protein levels in MAN and MD.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T4"><caption><p>Correlations between gene expression and production traits
of the experimental animals.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="center"/>
     <oasis:colspec colnum="4" colname="col4" align="center"/>
     <oasis:colspec colnum="5" colname="col5" align="center"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">Gene</oasis:entry>  
         <oasis:entry colname="col2">Tissue</oasis:entry>  
         <oasis:entry rowsep="1" namest="col3" nameend="col5">Traits* </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3">BFT</oasis:entry>  
         <oasis:entry colname="col4">LD</oasis:entry>  
         <oasis:entry colname="col5">ADG</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>A-FABP</italic></oasis:entry>  
         <oasis:entry colname="col2">Backfat</oasis:entry>  
         <oasis:entry colname="col3">0.60</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.31</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.24</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Muscle</oasis:entry>  
         <oasis:entry colname="col3">0.47</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.35</oasis:entry>  
         <oasis:entry colname="col5">ns</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>ADIPOQ</italic></oasis:entry>  
         <oasis:entry colname="col2">Backfat</oasis:entry>  
         <oasis:entry colname="col3">ns</oasis:entry>  
         <oasis:entry colname="col4">ns</oasis:entry>  
         <oasis:entry colname="col5">ns</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Muscle</oasis:entry>  
         <oasis:entry colname="col3">0.44</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.24</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.31</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>FASN</italic></oasis:entry>  
         <oasis:entry colname="col2">Backfat</oasis:entry>  
         <oasis:entry colname="col3">0.42</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.20</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.26</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Muscle</oasis:entry>  
         <oasis:entry colname="col3">0.31</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.22</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.29</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>FTO</italic></oasis:entry>  
         <oasis:entry colname="col2">Backfat</oasis:entry>  
         <oasis:entry colname="col3">0.53</oasis:entry>  
         <oasis:entry colname="col4">ns</oasis:entry>  
         <oasis:entry colname="col5">ns</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Muscle</oasis:entry>  
         <oasis:entry colname="col3">ns</oasis:entry>  
         <oasis:entry colname="col4">ns</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.23</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>LEP</italic></oasis:entry>  
         <oasis:entry colname="col2">Backfat</oasis:entry>  
         <oasis:entry colname="col3">0.56</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.48</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.33</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Muscle</oasis:entry>  
         <oasis:entry colname="col3">0.45</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.18</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.27</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>PLIN2</italic></oasis:entry>  
         <oasis:entry colname="col2">Backfat</oasis:entry>  
         <oasis:entry colname="col3">ns</oasis:entry>  
         <oasis:entry colname="col4">ns</oasis:entry>  
         <oasis:entry colname="col5">ns</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Muscle</oasis:entry>  
         <oasis:entry colname="col3">0.35</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.15</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.21</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p>* BFT: backfat thickness; LD: loin diameter; ADG: average daily gain during
fattening; ns: correlation is not significant (<inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> &gt; 0.05).</p></table-wrap-foot></table-wrap>

</sec>
<sec id="Ch1.S3.SS2">
  <?xmltex \opttitle{\textit{ADIPOQ} expression}?><title><italic>ADIPOQ</italic> expression</title>
      <p>Of all six genes analyzed, adiponectin (<italic>ADIPOQ</italic>) was most abundant in backfat,
while its expression in muscle was found to be the lowest (Table 3); this is
not surprising since <italic>ADIPOQ</italic> is secreted almost exclusively by adipocytes.
<italic>ADIPOQ</italic> was previously shown to have elevated expression in MD fat compared to
muscle (Tempfli et al., 2015). No significant differences were detected
between groups in <italic>ADIPOQ</italic> backfat level; however, muscle expression was remarkably
higher (<inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> &lt; 0.05) in MAN and MD than in the other groups (Table 3).
Regarding the distinctive muscle <italic>ADIPOQ</italic> expression, the role of intramuscular fat
cells is to be emphasized. According to Ding et al. (2004) <italic>ADIPOQ</italic> can be hardly
detectable in muscle samples of breeds that do not deposit excessive IMF, as
it can be an exclusive source of <italic>ADIPOQ</italic> transcripts in muscle. Daniele et al. (2008) detected significant differences in subcutaneous adipose tissue
<italic>ADIPOQ</italic> expression of Large White and fat-type Casertana pigs, with higher levels
in lean-type Large White. This is consistent with human studies, where
ADIPOQ hormone levels have been inversely related to body fat content
(Matsubara et al., 2002). Lord et al. (2005) observed similar patterns in
adipose tissue <italic>ADIPOQ</italic> expression of Upton-Meishan (excessive fat content) and
Large White pigs. Interestingly, in the present study this difference was
not observed between backfat <italic>ADIPOQ</italic> mRNA levels of MAN and MD and leaner HLW or PD
pigs. However, muscle <italic>ADIPOQ</italic> expression was in positive correlation with
BFT, and in negative correlation with LD and ADG; no significant correlation
was detected between backfat <italic>ADIPOQ</italic> expression and BFT, LD, or ADG (Table 4).</p>
      <p>A potential explanation for this is that fatter pigs express higher levels
of <italic>ADIPOQ</italic> in visceral fat than in subcutaneous fat (Lord et al., 2005). By means
of muscle transcriptome profiling, Canovas et al. (2010) detected elevated
<italic>ADIPOQ</italic> expression in high-fat Duroc compared to low-fat Duroc animals, which is
consistent with the findings reported in this study. As Canovas et al. (2010) also indicated, these results are not in agreement with the
observations in humans that fatty acid oxidation is reduced in obese
individuals. Paradoxically, <italic>ADIPOQ</italic> seems to be more expressed in muscle tissue of
obese pigs without decreasing lipid accumulation via beta oxidation, which
can be partly explained by the lower expression of <italic>ADIPOQ</italic> receptors (Lord et al.,
2005; De Rosa et al., 2013).</p>
</sec>
<sec id="Ch1.S3.SS3">
  <?xmltex \opttitle{\textit{FASN} expression}?><title><italic>FASN</italic> expression</title>
      <p>The fatty acid synthase gene (<italic>FASN</italic>) was most active in adipose tissue in all groups.
Its expression in backfat was highest in MAN, moderate in MD, and lowest in
HLW and PD (Table 3). Muscle expression of MAN and MD did not differ
significantly; however, both were higher (<inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> &lt; 0.05) compared to HLW
and PD. Correlation analysis showed similar patterns to expression
differences, as fat and muscle <italic>FASN</italic> levels were correlated positively to BFT
and negatively to LD and ADG (Table 4).</p>
      <p><italic>FASN</italic> encodes for a crucial enzyme complex of lipogenesis that catalyzes the
synthesis of palmitate (a long-chain saturated fatty acid) from acetyl-CoA
and malonyl-CoA. Based on the differences in <italic>FASN</italic> expression, it was concluded
that lipid synthesis is more active in MAN and MD than in HLW or PD. Higher
muscle lipid synthesis can largely contribute to IMF deposition. Similar
patterns of <italic>FASN</italic> expression were observed when Wujin pigs were compared to the
leaner Landrace (Zhao et al., 2009), and when Italian Duroc was compared to
Italian Large White (Braglia et al., 2014), underlining the greater
potential of some breeds for accumulation of fat in muscle.</p>
</sec>
<sec id="Ch1.S3.SS4">
  <?xmltex \opttitle{\textit{FTO} expression}?><title><italic>FTO</italic> expression</title>
      <p>Differential fat mass and obesity-associated gene (<italic>FTO</italic>) expression was observed in backfat of MAN and MD as well as HLW
and PD (Table 3). Muscle <italic>FTO</italic> levels did not differ significantly
(<inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> &gt; 0.05). The level of <italic>FTO</italic> in fat was significantly correlated to BFT
but not to LD or ADG, whereas muscle levels were in negative correlation
with ADG but not with BFT or LD (Table 4).</p>
      <p><italic>FTO</italic> is known to be involved in the regulation of body weight and adiposity, and
was found differentially expressed between Göttingen minipigs and lean
production pigs (Cirera et al., 2014); however, expression was not as
largely differentiated between subcutaneous backfat and muscle tissues
compared to present breeds and crosses. Similar to the results presented
here, more definite differences were observed in the expression of <italic>FTO</italic> in
muscle and backfat tissues of the Taihu-based Chinese pig breed Suzhong (Fu
et al., 2013). Higher <italic>FTO</italic> expression in MAN and MD adipose tissue confirmed
that elevated <italic>FTO</italic> level contributes to the development of the fattier
phenotype. Targeted sequencing of the MAN <italic>FTO</italic> gene is needed to identify the causes
and the genetic background (e.g., potential specific alleles modifying
transcription factor binding sites) of elevated expression.</p>
</sec>
<sec id="Ch1.S3.SS5">
  <?xmltex \opttitle{\textit{LEP} expression}?><title><italic>LEP</italic> expression</title>
      <p>Regarding backfat tissue, highest (<inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> &lt; 0.05) leptin (<italic>LEP</italic>) expression was detected
in MAN, followed by MD and PD, whereas HLW was characterized by the lowest
expression levels (Table 3). In muscle, MAN and MD produced more
(<inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> &lt; 0.05) <italic>LEP</italic> compared to HLW and PD. Correlation analysis revealed
positive correlation between BFT and <italic>LEP</italic> levels in fat and muscle and negative
correlation with LD and ADG (Table 4).</p>
      <p>Georgescu et al. (2014) observed similarly increased <italic>LEP</italic> expression in MAN
compared to purebred Duroc and other commercial lean production pigs. <italic>LEP</italic> (a
hormone mainly secreted by adipocytes) plays pivotal roles in controlling
feed intake and energy homeostasis of pigs through hypothalamic areas
associated with the regulation of appetite (Barb et al., 2001). A continuous
increase in <italic>LEP</italic> levels can lead to <italic>LEP</italic> resistance and consequently to
impaired appetite suppression and unmitigated food intake, which is a
potential mechanism responsible for developing the obese phenotype in MAN.
Furthermore, elevated <italic>LEP</italic> levels can lead to disturbances in luteinizing hormone (LH) secretion,
ovulatory failure, and deterioration in reproductive functions (Brüssow
et al., 2008; Mitchell et al., 2005). High <italic>LEP</italic> expression and subsequent
resistance are potential factors behind the poor reproductive performance of
MAN, with average litter sizes of 5–7 piglets (Tempfli et al., 2011).</p>
</sec>
<sec id="Ch1.S3.SS6">
  <?xmltex \opttitle{\textit{PLIN2} expression}?><title><italic>PLIN2</italic> expression</title>
      <p>Of the analyzed genes, only the <italic>PLIN2</italic> (perilipin 2 or adipocyte
differentiation-related protein) gene was detected with higher normalized
expression in muscle compared to backfat. Muscle PLIN2 levels were in
positive correlation with BFT but in negative correlation with LD and ADG
(Table 4). There was no significant (<inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> &gt; 0.05) difference between <italic>PLIN2</italic> expressions
in backfat of any of the analyzed groups. Nevertheless, muscle levels were
different (<inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> &lt; 0.05) for MAN and MD as well as for HLW and PD
(Table 3). Elevated <italic>PLIN2</italic> expression in muscle was therefore concluded to
associate with IMF accumulation. Similar patterns of <italic>PLIN2</italic> activity were
presented by Davoli et al. (2011); however, in their study a slightly higher
<italic>PLIN2</italic> level was observed in backfat compared to that in muscle, which can be
attributed to the different selection of experimental muscle tissues.</p>
</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <title>Conclusion</title>
      <p>In conclusion, the expression of the analyzed fat-metabolism-related genes
showed very similar patterns: the fatty MAN generally produced highest
levels, and was followed by MD, while lowest levels were detected in
lean-type groups, HLW and PD. Due to these similar patterns of gene
expression, similar results were also derived from the correlation analysis for
most of the genes. It needs to be indicated that the correlation
coefficients generated from the analysis of expression levels and production
traits of the experimental animals are most certainly and largely affected
by characteristic breed differences and not only by expression differences.
Based on the present results and available literature data, it seems that
particular pig breeds, although of very distinct origin, develop the obese
phenotype via similar mechanisms and pathways, in which the genes analyzed
in the current study apparently play central roles and undergo analogous
transcriptional regulations. It is also worth mentioning that, due to
substantial anatomical similarities between humans and pigs, obese swine
breeds can provide new models for obesity studies, where porcine gene
expression results can also be relevant from a human medicinal point of
view.</p>
</sec>

      
      </body>
    <back><app-group>
        <supplementary-material position="anchor"><p><bold>The Supplement related to this article is available online at <inline-supplementary-material xlink:href="http://dx.doi.org/10.5194/aab-2-259-2016-supplement" xlink:title="pdf">doi:10.5194/aab-2-259-2016-supplement</inline-supplementary-material>.</bold></p></supplementary-material>
        </app-group><notes notes-type="authorcontribution">

      <p>K. Tempfli, K. Szalai, and Z. Simon
participated in sampling and data collection. K. Tempfli, B. Kiss, K. Szalai,
and L. Pongrácz carried out the laboratory analyses. K. Tempfli
and L. Pongrácz were responsible for the statistical analyses. Á. Bali Papp
designed and coordinated the experiments and provided
supervision. K. Tempfli and Á. Bali Papp prepared the manuscript with
contributions from all co-authors.</p>
  </notes><ack><title>Acknowledgements</title><p>This research was supported by the European Union
and the government of Hungary, co-financed by the European Social Fund in the
framework of the TÁMOP 4.2.4.A/2-11-1-2012-0001 “National Excellence
Program”.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: S. Maak<?xmltex \hack{\newline}?>
Reviewed by: three anonymous referees</p></ack><ref-list>
    <title>References</title>

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native pigs in occidental and oriental countries – practical examples of the
characterization and utilization of native pigs in Hungary and Laos, J.
Reprod. Develop., 59, 437–441, 2013.</mixed-citation></ref>
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Ren, Z. Q., Xiong, Z. Y., Deng, C. Y., Zuo, B., Liu, Y. G., and Lei, M.
G.: Age-dependent changes of differential gene expression profile in backfat
tissue between hybrids and parents in pigs, Asian Australas. J. Anim. Sci.,
18, 682–685, 2005.</mixed-citation></ref>
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Tempfli, K., Farkas, G., Simon, Z., and Bali Papp, Á.: Effects of
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Hung., 59, 269–277, 2011.</mixed-citation></ref>
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<italic>PRLR</italic>, <italic>MC4R</italic> and LEP polymorphisms, and ADIPOQ, <inline-formula><mml:math display="inline"><mml:mi>A</mml:mi></mml:math></inline-formula>-<italic>FABP</italic> and LEP expression in crossbred Mangalica pigs,
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Zhang, Y. Y., and Gao, S. Z.: Differential expression of lipid metabolism
related genes in porcine muscle tissue leading to different intramuscular
fat deposition, Lipids, 44, 1029–1037, 2009.</mixed-citation></ref>

  </ref-list><app-group content-type="float"><app><title/>

    </app></app-group></back>
    <!--<article-title-html>Differential expression of six genes in fat-type Hungarian Mangalica and
other pigs</article-title-html>
<abstract-html><p class="p">In order to identify potential variances in gene expression of phenotypically
different pig breeds, six fat-metabolism-related genes were analyzed in
backfat and muscle tissues of fat-type Mangalica (MAN), Mangalica  ×  Duroc (MD),
and lean-type Hungarian Large White (HLW) and Pietrain  ×  Duroc (PD)
pigs by means of quantitative reverse transcription PCR (qRT-PCR).
Higher (<i>P</i> &lt; 0.05) adipocyte fatty-acid-binding protein
(<i>A-FABP</i>) expression was observed in backfat and muscle tissues of
purebred and crossbred MAN than in those of HLW and PD. In all breeds and
crosses, adiponectin (<i>ADIPOQ</i>) was predominantly expressed in backfat
at a similar level (<i>P</i> &gt; 0.05), whereas muscle
<i>ADIPOQ</i> expression was highest (<i>P</i> &lt; 0.05) in MAN and
MD. Levels of fatty acid synthase (<i>FASN</i>) mRNA were greatest in MAN,
moderate in MD, and lowest in HLW and PD backfat and muscle. The fat mass and
obesity-associated gene (<i>FTO</i>) was more abundant in MAN and MD
backfat, whereas muscle expressions did not differ (<i>P</i> &gt; 0.05)
between breeds. Regarding leptin (<i>LEP</i>) expression, MAN
produced the greatest levels in backfat, while HLW produced the lowest. In muscle,
highest <i>LEP</i> was detected in MAN and MD. Between groups, perilipin 2
(<i>PLIN2</i>) was expressed similarly in backfat; however, <i>PLIN2</i>
was more abundant in muscle of MAN and MD than in that of HLW and PD.
Differences in gene expression can contribute to the development of the
characteristic fatty phenotype in MAN pigs. The identification of
differentially expressed genes facilitates targeted sequencing and genotyping
efforts for further studies.</p></abstract-html>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation>
Barb, C. R., Hausman, G. J., and Houseknecht, K. L.: Biology of leptin in
the pig, Domest. Anim. Endocrin., 21, 297–317, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>2</label><mixed-citation>
Braglia, S., Zappaterra, M., Zambonelli, P., Comella, M., Dall'Olio, S., and
Davoli, R.: Analysis of g.265T &gt; C SNP of fatty acid synthase gene
and expression study in skeletal muscle and backfat tissues of Italian Large
White and Italian Duroc pigs, Livest. Sci., 162, 15–22, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>3</label><mixed-citation>
Brüssow, K. P., Schneider, F., Tuchscherer, A., Egerszegi, I., and
Rátky, J.: Comparison of luteinizing hormone, leptin and progesterone
levels in the systemic circulation (<i>Vena jugularis</i>) and near the ovarian circulation
(<i>Vena cava caudalis</i>) during the oestrous cycle in Mangalica and Landrace gilts, J. Reprod.
Develop., 54, 431–438, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>4</label><mixed-citation>
Canovas, A., Quintanilla, R., Amills, M., and Pena, R. N.: Muscle
transcriptomic profiles in pigs with divergent phenotypes for fatness
traits, BMC Genomics, 11, 372, <a href="http://dx.doi.org/10.1186/1471-2164-11-372" target="_blank">doi:10.1186/1471-2164-11-372</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>5</label><mixed-citation>
Chen, Q. M., Wang, H., Zeng, Y. Q., and Chen, W.: Developmental changes and
effect on intramuscular fat content of H-FABP and A-FABP mRNA expression in
pigs, J. Appl. Genet., 54, 119–123. 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>6</label><mixed-citation>
Chmurzynska, A.: The multigene family of fatty acid-binding proteins
(FABPs): Function, structure and polymorphism, J. Appl. Genet., 47, 39–48,
2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>7</label><mixed-citation>
Cho, E. S., Kwon, S. G., Kim, J. H., Park, D. H., Kim, T. W., Nam, J., Jang,
I. S., Choi, J. S., Bang, W. Y., and Kim, C. W.: Study for the expression of
adiponectin, fatty acid binding protein (<i>FABP</i>)<i>4</i>, stearoyl-CoA desaturase (<i>SCD</i>) genes
and the methylation of <i>SCD</i> promoter in porcine muscle and fat tissues, Afr. J.
Agric. Res., 6, 6425–6431, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>8</label><mixed-citation>
Christoffersen, B. O., Gade, L. P., Golozoubova, V., Svendsen, O., and Raun,
K.: Influence of castration-induced testosterone and estradiol deficiency on
obesity and glucose metabolism in male Göttingen minipigs, Steroids, 75,
676–684, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>9</label><mixed-citation>
Cirera, S., Jensen, M. S., Elbrond, V. S., Moesgaard, S. G., Christoffersen,
B. O., Kadarmideen, H. N., Skovgaard, K., Bruun, C. V., Karlskov-Mortensen,
P., Jorgensen, C. B., and Fredholm, M.: Expression studies of six human
obesity-related genes in seven tissues from divergent pig breeds, Anim.
Genet., 45, 59–66, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>10</label><mixed-citation>
Damon, M., Louveau, I., Lefaucheur, L., Lebret, B., Vincent, A., Leroy, P.,
Sanchez, M. P., Herpin, P., and Gondret, F.: Number of intramuscular
adipocytes and fatty acid binding protein-4 content are significant
indicators of intramuscular fat level in crossbred Large White  ×  Duroc pigs, J. Anim. Sci., 84, 1083–1092, 2006.
</mixed-citation></ref-html>
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Daniele, A., Cammarata, R., Masullo, M., Nerone, G., Finamore, F, D'Andrea,
M., Pilla, F., and Oriani, G.: Analysis of adiponectin gene and comparison
of its expression in two different pig breeds, Obesity, 16, 1869–1874,
2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>12</label><mixed-citation>
Davoli, R., Gandolfi, G., Braglia, S., Comella, M., Zambonelli, P.,
Buttazzoni, L., and Russo, V.: New SNP of the porcine perilipin 2 (PLIN2) gene,
association with carcass traits and expression analysis in skeletal muscle,
Mol. Biol. Rep., 38, 1575–1583, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>13</label><mixed-citation>
De Rosa, A., Monaco, M. L., Nigro, E., Scudiero, O., D'Andrea, M., Pilla,
F., Oriani, G., and Daniele, A.: Tissue-specific downregulation of the
adiponectin “system”: possible implications for fat accumulation tendency
in the pig, Domest. Anim. Endocrin., 44, 131–138, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>14</label><mixed-citation>
Ding, S. T., Liu, B. H., and Ko, Y. H.: Cloning and expression of porcine
adiponectin and adiponectin receptor 1 and 2 genes in pigs, J. Anim. Sci.,
82, 3162–3174, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>15</label><mixed-citation>
Fernandez, X., Monin, G., Talmant, A., Mourot, J., and Lebret, B.: Influence
of intramuscular fat content on the quality of pig meat: 1. Composition of
the lipid fraction and sensory characteristics of <i>m. longissimus lumborum</i>, Meat Sci., 53, 59–65,
1999.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>16</label><mixed-citation>
Fu, Y. F., Li, L., and Ren, S.: Effect of FTO expression and polymorphism on
fat deposition in Suzhong pigs, Asian Australas. J. Anim. Sci., 26,
1365–1373, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>17</label><mixed-citation>
Georgescu, S. E., Manea, M. A., Dinescu, S., and Costache, M.: Comparative
study of leptin and leptin receptor gene expression in different swine
breeds, Genet. Mol. Res., 13, 7140–7148, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>18</label><mixed-citation>
Gerbens, F., Verburg, F. J., Van Moerkerk, H. T., Engel, B., Buist, W.,
Veerkamp, J. H., and te Pas, M. F.: Associations of heart and adipocyte
fatty acid-binding protein gene expression with intramuscular fat content in
pigs, J. Anim. Sci., 79, 347–354, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>19</label><mixed-citation>
Holló, G., Seregi, J., Holló, I., Ender, K., and Nürnberg, K.:
Meat and fat quality of Hungarian Mangalica breed Effect of different diets
on carcass composition and fat quality of Mangalica pigs, Fleischwirtschaft,
89, 108–112, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>20</label><mixed-citation>
Jacyno, E., Pietruszka, A., Kawecka, M., Biel, W., and Kolodziej-Skalska,
A.: Phenotypic correlations of backfat thickness with meatiness traits,
intramuscular fat, longissimus muscle cholesterol and fatty acid composition
in pigs, S. Afr. J. Anim. Sci., 122–128, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>21</label><mixed-citation>
Koncz, A., Petrási, Zs., Romvári, R., Donkó, T.,
Garamvölgyi, R., and Repa, I.: Comparative analysis of meat and fat
tissue of Mangalica and meat-type hybrid pigs by means of Computerised
Tomography, Acta Agr. Kaposváriensis, 18/S1, 180–187, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>22</label><mixed-citation>
Lord, E., Ledoux, S., Murphy, B. D., Beaudry, D., and Palin, M. F.:
Expression of adiponectin and its receptors in swine, J. Anim. Sci., 83,
565–578, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>23</label><mixed-citation>
Luo, H. F., Wei, H. K., Huang, F. R., Zhou, Z., Jiang, S. W., and Peng, J.:
The effect of linseed on intramuscular fat content and adipogenesis related
genes in skeletal muscle of pigs, Lipids, 44, 999–1010, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>24</label><mixed-citation>
Matsubara, M., Maruoka, S., and Katayose, S.: Inverse relationship between
plasma adiponectin and leptin concentrations in normal-weight and obese
women, Eur. J. Endocrinol., 147, 173–180, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>25</label><mixed-citation>
Mitchell, M., Armstrong, D. T., Robker, R. L., and Norman, R. J.:
Adipokines: implications for female fertility and obesity, Reproduction,
130, 583–597, 2005.
</mixed-citation></ref-html>
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Rátky, J, Egerszegi, I., Tóth, P., Keonuchan, S., Nagai, T.,
Kikuchi, K., Manabe, N., and Brüssow, K. P.: Saving genetic resources of
native pigs in occidental and oriental countries – practical examples of the
characterization and utilization of native pigs in Hungary and Laos, J.
Reprod. Develop., 59, 437–441, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib27"><label>27</label><mixed-citation>
Ren, Z. Q., Xiong, Z. Y., Deng, C. Y., Zuo, B., Liu, Y. G., and Lei, M.
G.: Age-dependent changes of differential gene expression profile in backfat
tissue between hybrids and parents in pigs, Asian Australas. J. Anim. Sci.,
18, 682–685, 2005.
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<ref-html id="bib1.bib28"><label>28</label><mixed-citation>
Tempfli, K., Farkas, G., Simon, Z., and Bali Papp, Á.: Effects of
prolactin receptor genotype on the litter size of Mangalica, Acta Vet.
Hung., 59, 269–277, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib29"><label>29</label><mixed-citation>
Tempfli, K., Simon, Z., Kovács, B., Posgay, M., and Bali Papp, Á.:
<i>PRLR</i>, <i>MC4R</i> and LEP polymorphisms, and ADIPOQ, <i>A</i>-<i>FABP</i> and LEP expression in crossbred Mangalica pigs,
J. Anim. Plant Sci., 25, 1746–1752, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib30"><label>30</label><mixed-citation>
Zhao, S. M., Ren, L. J., Chen, L., Zhang, X., Cheng, M. L., Li, W. Z.,
Zhang, Y. Y., and Gao, S. Z.: Differential expression of lipid metabolism
related genes in porcine muscle tissue leading to different intramuscular
fat deposition, Lipids, 44, 1029–1037, 2009.
</mixed-citation></ref-html>--></article>
