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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-60-137-2017</article-id><title-group><article-title>Diversity and effective population size of four horse breeds from
microsatellite DNA markers <?xmltex \hack{\break}?> in South-Central Mexico</article-title>
      </title-group><?xmltex \runningtitle{Diversity and effective population size of four horse breeds}?><?xmltex \runningauthor{J.~F.~V\'{a}zquez-Armijo et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Vázquez-Armijo</surname><given-names>José Fernando</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff2">
          <name><surname>Parra-Bracamonte</surname><given-names>Gaspar Manuel</given-names></name>
          <email>pabraman@hotmail.com</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Velazquez</surname><given-names>Miguel Abraham</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Sifuentes-Rincón</surname><given-names>Ana María</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Tinoco-Jaramillo</surname><given-names>José Luis</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Ambriz-Morales</surname><given-names>Pascuala</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Arellano-Vera</surname><given-names>Williams</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Moreno-Medina</surname><given-names>Victor Ricardo</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Centro Universitario UAEM Temascaltepec, Universidad Autónoma del
Estado de México (UAEM). Km. 67.5 Carretera Federal Toluca-Tejupilco,
Código Postal 51300, Temascaltepec, Estado de México, Mexico</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Centro de Biotecnología Genómica, Instituto Politécnico
Nacional, Boulevard del Maestro, esquina Elías Piña, Colonia
Narciso Mendoza, Código Postal 88710, Reynosa, Tamaulipas, Mexico</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>School of Agriculture, Food &amp; Rural Development, Newcastle
University,  <?xmltex \hack{\break}?> Newcastle upon Tyne NE1 7RU, UK</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Facultad de Medicina Veterinaria y Zootecnia, Universidad Nacional
Autónoma de México. Avenida Unidad 3000, Circuito Exterior, Ciudad
Universitaria, Delegación Coyoacán, Código Postal 04510,  <?xmltex \hack{\break}?>
Distrito Federal, Mexico</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Gaspar Manuel Parra-Bracamonte (pabraman@hotmail.com)</corresp></author-notes><pub-date><day>8</day><month>June</month><year>2017</year></pub-date>
      
      <volume>60</volume>
      <issue>2</issue>
      <fpage>137</fpage><lpage>143</lpage>
      <history>
        <date date-type="received"><day>18</day><month>October</month><year>2016</year></date>
           <date date-type="rev-recd"><day>19</day><month>April</month><year>2017</year></date>
           <date date-type="accepted"><day>4</day><month>May</month><year>2017</year></date>
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions><self-uri xlink:href="https://aab.copernicus.org/articles/60/137/2017/aab-60-137-2017.html">This article is available from https://aab.copernicus.org/articles/60/137/2017/aab-60-137-2017.html</self-uri>
<self-uri xlink:href="https://aab.copernicus.org/articles/60/137/2017/aab-60-137-2017.pdf">The full text article is available as a PDF file from https://aab.copernicus.org/articles/60/137/2017/aab-60-137-2017.pdf</self-uri>


      <abstract>
    <p>The
South-Central region of Mexico has experienced a sizeable introduction of
purebred horses for recreational aims. A study was designed to assess
effective population sizes and genetic diversity and to verify the genetic
integrity of four horse breeds. Using a 12-microsatellite panel, Quarter Horse, Azteca,
Thoroughbred and Creole (CRL) horses were sampled and analysed for diversity
and genetic structure. Genetic diversity parameters showed high numbers of
heterozygous horses but small effective population sizes in all breeds.
Population structure results suggested some degree of admixture of CRL with
the other reference breeds. The highly informative microsatellite panel
allowed the verification of diversity in introduced horse populations and the
confirmation of small effective population sizes, which suggests a risk for
future breed integrity.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>Since its reintroduction to the Americas during the time of Spanish
colonization (Luís et al., 2006; Jimenez et al., 2012), the horse has
played a significant role in the history and culture of Mexico (LeCompte,
1985; Griffith and Fernández, 1988; Nájera-Ramírez, 1994;
Palomar, 2004; Pineda and Díaz, 2012). Mexico has one of the largest
horse populations in the world (da Mota and Regitano, 2012) with a
substantial number of mixed-breed horses used for agricultural, farming,
transportation, tourism and patrolling (i.e. mounted police) purposes
(Loroño-Pino et al., 2003; Velázquez-Beltrán et al., 2011;
Cantú-Martínez et al., 2012; Sánchez-Casanova et al., 2014).
However, a significant number of horses in Mexico are purebred, mainly
promoted by four official horse breeding associations that manage the
studbooks for breeds such as the Pura Raza Española,
Lusitano, Azteca, Westphalian, Holsteiner, Dutch and Belgian warmbloods,
Selle Français, Hanoverian, Thoroughbred, Quarter Horse and Arabian
(CONARGEN, 2017; Domínguez-Viveros et al., 2014). Purebred horses in
Mexico are used for several equestrian events, including horse racing,
Olympic disciplines and traditional equestrian competitions known as
<italic>charreadas</italic> (Palomar, 2004; Cantú-Martínez et al., 2012;
Pineda and Díaz, 2012; Rodríguez-Sánchez et al., 2015).
Additionally, a barely documented, but broadly extended use for these
purebred animals is the training for horse dancing competitions during
traditional regional festivities. Another relevant horse breed in Mexico is
the Creole (Criollo) horse, which also plays a significant role in farming
and Mexican equestrian traditions (Domínguez-Sánchez et al., 2015).
The Creole breed is derived from feral horse populations introduced during
the first Spanish expeditions to the Americas (Domínguez-Sánchez et
al., 2015), similar to other Creole breeds in South America (Kelly et al.,
2002; Mirol et al., 2002; Jimenez et al., 2012).</p>
      <p>The central region of Mexico has experienced a sizeable introduction of
purebred horses. However, a potential problem with these introductions is
the maintenance of breed integrity. Conservation of breed identity and
adequate effective population size is pivotal for sound breeding management
in any species, and genetic markers such as short tandem repeat (STR) loci
(i.e. microsatellites) have been extensively used to examine genetic
diversity and breed characterization in horse populations worldwide (Aberle
et al., 2004; Marletta et al., 2006; Druml et al., 2007; Zuccaro et al.,
2008; Felicetti et al., 2010; Chauhan et al., 2011; Ling et al., 2011;
Takasu et al., 2012; Fornal et al., 2013; Berber et al., 2014). In this
study, we used 17 microsatellite DNA markers to provide genetic diversity
and effective population size of four horse breeds of economic and cultural
importance in Mexico.</p>
</sec>
<sec id="Ch1.S2">
  <title>Material and methods</title>
<sec id="Ch1.S2.SS1">
  <title>Animals and sample collection</title>
      <p>Samples of approximately 50 hair follicles were collected from male Quarter
Horse (QHR, <inline-formula><mml:math id="M1" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 19), Azteca (AZT, <inline-formula><mml:math id="M2" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 24), Thoroughbred (THB, <inline-formula><mml:math id="M3" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 15) and
Creole (CRL, <inline-formula><mml:math id="M4" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 32) horses in 30 different ranches from the southern
region of the State of México, in South-Central Mexico. The samples were
preserved in marked paper envelopes under dry conditions until their
processing. The sampled animals were generally maintained in closed groups
and often used as stallions in different regional ranches. Although some of
the individual animals were recently introduced, their origin is unknown.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><caption><p>Microsatellite panel recommended by ISAG and used for genetic analysis of four horse breeds in South-Central Mexico.</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="left"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">Loci</oasis:entry>  
         <oasis:entry colname="col2">Sequence and repeated motif</oasis:entry>  
         <oasis:entry colname="col3">GenBank</oasis:entry>  
         <oasis:entry colname="col4">Allelic</oasis:entry>  
         <oasis:entry colname="col5">PIC<inline-formula><mml:math id="M10" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">1-EP<inline-formula><mml:math id="M11" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3">accession</oasis:entry>  
         <oasis:entry colname="col4">range</oasis:entry>  
         <oasis:entry colname="col5"/>  
         <oasis:entry colname="col6"/>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">AHT4</oasis:entry>  
         <oasis:entry colname="col2">(AC)<inline-formula><mml:math id="M12" display="inline"><mml:msub><mml:mi/><mml:mi>n</mml:mi></mml:msub></mml:math></inline-formula>AT(AC)<inline-formula><mml:math id="M13" display="inline"><mml:msub><mml:mi/><mml:mi>n</mml:mi></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">Y07733</oasis:entry>  
         <oasis:entry colname="col4">144–162</oasis:entry>  
         <oasis:entry colname="col5">0.820</oasis:entry>  
         <oasis:entry colname="col6">0.045</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">AHT5</oasis:entry>  
         <oasis:entry colname="col2">(GT)<inline-formula><mml:math id="M14" display="inline"><mml:msub><mml:mi/><mml:mi>n</mml:mi></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">Y07732</oasis:entry>  
         <oasis:entry colname="col4">130–148</oasis:entry>  
         <oasis:entry colname="col5">0.817</oasis:entry>  
         <oasis:entry colname="col6">0.046</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">ASB2</oasis:entry>  
         <oasis:entry colname="col2">(GT)<inline-formula><mml:math id="M15" display="inline"><mml:msub><mml:mi/><mml:mi>n</mml:mi></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">X93516</oasis:entry>  
         <oasis:entry colname="col4">238–260</oasis:entry>  
         <oasis:entry colname="col5">0.849</oasis:entry>  
         <oasis:entry colname="col6">0.033</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">ASB17</oasis:entry>  
         <oasis:entry colname="col2">(AC)<inline-formula><mml:math id="M16" display="inline"><mml:msub><mml:mi/><mml:mi>n</mml:mi></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">X93531</oasis:entry>  
         <oasis:entry colname="col4">104–116</oasis:entry>  
         <oasis:entry colname="col5">0.750</oasis:entry>  
         <oasis:entry colname="col6">0.079</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">ASB23</oasis:entry>  
         <oasis:entry colname="col2">(TG)<inline-formula><mml:math id="M17" display="inline"><mml:msub><mml:mi/><mml:mi>n</mml:mi></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">Y93537<inline-formula><mml:math id="M18" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">118–208</oasis:entry>  
         <oasis:entry colname="col5">0.860</oasis:entry>  
         <oasis:entry colname="col6">0.029</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">CA425<inline-formula><mml:math id="M19" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">(GT)<inline-formula><mml:math id="M20" display="inline"><mml:msub><mml:mi/><mml:mi>n</mml:mi></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">U67406</oasis:entry>  
         <oasis:entry colname="col4">224–246</oasis:entry>  
         <oasis:entry colname="col5">0.745</oasis:entry>  
         <oasis:entry colname="col6">0.078</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">HMS1</oasis:entry>  
         <oasis:entry colname="col2">(TG)<inline-formula><mml:math id="M21" display="inline"><mml:msub><mml:mi/><mml:mi>n</mml:mi></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">X74630</oasis:entry>  
         <oasis:entry colname="col4">168–178</oasis:entry>  
         <oasis:entry colname="col5">0.518</oasis:entry>  
         <oasis:entry colname="col6">0.234</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">HMS2</oasis:entry>  
         <oasis:entry colname="col2">(CA)<inline-formula><mml:math id="M22" display="inline"><mml:msub><mml:mi/><mml:mi>n</mml:mi></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">X74631</oasis:entry>  
         <oasis:entry colname="col4">220–236</oasis:entry>  
         <oasis:entry colname="col5">0.721</oasis:entry>  
         <oasis:entry colname="col6">0.093</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">HMS3</oasis:entry>  
         <oasis:entry colname="col2">(TG)<inline-formula><mml:math id="M23" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>(CA)<inline-formula><mml:math id="M24" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>TC(CA)<inline-formula><mml:math id="M25" display="inline"><mml:msub><mml:mi/><mml:mi>n</mml:mi></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">X74632</oasis:entry>  
         <oasis:entry colname="col4">146–170</oasis:entry>  
         <oasis:entry colname="col5">0.834</oasis:entry>  
         <oasis:entry colname="col6">0.039</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">HMS6</oasis:entry>  
         <oasis:entry colname="col2">(GT)<inline-formula><mml:math id="M26" display="inline"><mml:msub><mml:mi/><mml:mi>n</mml:mi></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">X74635</oasis:entry>  
         <oasis:entry colname="col4">154–170</oasis:entry>  
         <oasis:entry colname="col5">0.769</oasis:entry>  
         <oasis:entry colname="col6">0.067</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">HMS7</oasis:entry>  
         <oasis:entry colname="col2">(AC)<inline-formula><mml:math id="M27" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>(CA)<inline-formula><mml:math id="M28" display="inline"><mml:msub><mml:mi/><mml:mi>n</mml:mi></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">X74636</oasis:entry>  
         <oasis:entry colname="col4">118–186</oasis:entry>  
         <oasis:entry colname="col5">0.829</oasis:entry>  
         <oasis:entry colname="col6">0.041</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">HTG4</oasis:entry>  
         <oasis:entry colname="col2">(TG)<inline-formula><mml:math id="M29" display="inline"><mml:msub><mml:mi/><mml:mi>n</mml:mi></mml:msub></mml:math></inline-formula>AT(AG)<inline-formula><mml:math id="M30" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msub></mml:math></inline-formula>AAG(GA)<inline-formula><mml:math id="M31" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msub></mml:math></inline-formula>ACAG(AGGG)<inline-formula><mml:math id="M32" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">AF169165</oasis:entry>  
         <oasis:entry colname="col4">118–162</oasis:entry>  
         <oasis:entry colname="col5">0.629</oasis:entry>  
         <oasis:entry colname="col6">0.150</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">HTG6</oasis:entry>  
         <oasis:entry colname="col2">(TG)<inline-formula><mml:math id="M33" display="inline"><mml:msub><mml:mi/><mml:mi>n</mml:mi></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">AF169167</oasis:entry>  
         <oasis:entry colname="col4">74–102</oasis:entry>  
         <oasis:entry colname="col5">0.823</oasis:entry>  
         <oasis:entry colname="col6">0.044</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">HTG7</oasis:entry>  
         <oasis:entry colname="col2">(GT)<inline-formula><mml:math id="M34" display="inline"><mml:msub><mml:mi/><mml:mi>n</mml:mi></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">AF169291</oasis:entry>  
         <oasis:entry colname="col4">118–128</oasis:entry>  
         <oasis:entry colname="col5">0.728</oasis:entry>  
         <oasis:entry colname="col6">0.093</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">HTG10</oasis:entry>  
         <oasis:entry colname="col2">(TG)<inline-formula><mml:math id="M35" display="inline"><mml:msub><mml:mi/><mml:mi>n</mml:mi></mml:msub></mml:math></inline-formula>[C/T]</oasis:entry>  
         <oasis:entry colname="col3">AF169294</oasis:entry>  
         <oasis:entry colname="col4">86–106</oasis:entry>  
         <oasis:entry colname="col5">0.826</oasis:entry>  
         <oasis:entry colname="col6">0.041</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">VHL20</oasis:entry>  
         <oasis:entry colname="col2">(TG)<inline-formula><mml:math id="M36" display="inline"><mml:msub><mml:mi/><mml:mi>n</mml:mi></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">X75970</oasis:entry>  
         <oasis:entry colname="col4">86–102</oasis:entry>  
         <oasis:entry colname="col5">0.801</oasis:entry>  
         <oasis:entry colname="col6">0.054</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">LEX3<inline-formula><mml:math id="M37" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">(TG)<inline-formula><mml:math id="M38" display="inline"><mml:msub><mml:mi/><mml:mi>n</mml:mi></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">AF075607</oasis:entry>  
         <oasis:entry colname="col4">138–162</oasis:entry>  
         <oasis:entry colname="col5">0.816</oasis:entry>  
         <oasis:entry colname="col6">0.045</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p><inline-formula><mml:math id="M5" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msup></mml:math></inline-formula> UCDEQ425. <inline-formula><mml:math id="M6" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> NW_001799714, sequence currently
obsolete in GenBank (Raudsepp et al., 2008). <inline-formula><mml:math id="M7" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> Polymorphic information
content. <inline-formula><mml:math id="M8" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msup></mml:math></inline-formula> PE: individual exclusion probability. <inline-formula><mml:math id="M9" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msup></mml:math></inline-formula> X-linked locus
excluded from the analysis.</p></table-wrap-foot></table-wrap>

</sec>
<sec id="Ch1.S2.SS2">
  <title>DNA extraction and PCR conditions</title>
      <p>Genomic DNA was extracted with the GenElute Mammalian Genomic DNA Kit (Cat.
G1N350, Sigma-Aldrich Co. LLC, St. Louis, Missouri, USA) following
manufacturer's instructions. Agarose gels (1.5 %) and Lambda DNA Gibco
Brl <inline-formula><mml:math id="M39" display="inline"><mml:mi mathvariant="italic">λ</mml:mi></mml:math></inline-formula> weight standards were used for verification of DNA integrity.
DNA concentration was measured with a NanoDrop 2000c spectrophotometer
(Thermo Fisher Scientific v1.1.). Genotyping of samples was performed using the 17-microsatellite panel recommended by the International Society for Animal
Genetics (ISAG) for identity and parentage testing (Table 1) (van de Goor et
al., 2010). Polymerase chain reaction (PCR) conditions were optimized from the recommended
StockMarks<sup>®</sup> for Horses kit protocol (Applied Biosystems,
Foster City, CA, USA). Genotyping was carried out in an ABI3130 genetic
analyser with a 50 cm capillary (Applied Biosystems, Foster City, CA, USA).
Based on the molecular weight marker, allele sizes were assigned to each
individual. The X-linked locus LEX3 was excluded from the analysis.</p>
</sec>
<sec id="Ch1.S2.SS3">
  <title>Statistical analysis</title>
      <p>Polymorphic information content (PIC) and combined exclusion probabilities (EPs)
were computed with CERVUS 3.0.3. (Kalinowski et al., 2007). Further analysis
considered null allele frequency (&lt; 0.02) and Hardy–Weinberg
equilibrium to maintain loci; then, HMS1, ASB17, HMS3 and VHL20 were
excluded from the analysis. Expected (HE) and observed (HO) heterozygosity,
allelic richness (AR) and inbreeding coefficients (FIS) were computed with
FSTAT v2.9.3 (Goudet, 1995).</p>
      <p>The effective population sizes (Ne) and their confidence intervals (95 %)
were estimated by linkage disequilibrium (LD) and the molecular co-ancestry
method (CM), with the NeEstimator v2.01 software (Do et al., 2014). An
individual assignment analysis was performed on the reference population
(QHR, AZT, THB and CRL) using a Bayesian method proposed by Baudouin and Lebrun (2001), considering an assignment threshold of 0.01 for assignment scores;
this procedure was computed in the GeneClass 2.0 software (Piry et al.,
2004). Additionally, a population inference analysis was performed using
STRUCTURE 2.3.4 (Pritchard et al., 2000) using a burning period
of 50 000 iterations and a run length of 200 000 Markov chain Monte Carlo replications. STRUCTURE HARVESTER
software (Earl and vonHoldt, 2012) was subsequently used to infer Delta <inline-formula><mml:math id="M40" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula>.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Results</title>
      <p>The microsatellite panel was highly informative, with PIC ranging from 0.518 to 0.860 (Table 1), very
high individual combined exclusion probabilities in the four evaluated
populations (EP &gt; 0.999) and individual EP ranging from 0.766 to
0.971 for HMS1 and ASB23 loci, respectively. The mean number of alleles per
locus was 9.41.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><caption><p>Genetic diversity parameters and effective population size of four horse breeds in South-Central Mexico.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="7">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Breed</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math id="M51" display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">E</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M52" display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">O</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">AR</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M53" display="inline"><mml:mrow><mml:msub><mml:mi>F</mml:mi><mml:mi mathvariant="normal">IS</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">LDN<inline-formula><mml:math id="M54" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7">MCN<inline-formula><mml:math id="M55" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">QHR</oasis:entry>  
         <oasis:entry colname="col2">0.762</oasis:entry>  
         <oasis:entry colname="col3">0.847</oasis:entry>  
         <oasis:entry colname="col4">5.94</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M56" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.078</oasis:entry>  
         <oasis:entry colname="col6">2.5 (2.2–2.9)</oasis:entry>  
         <oasis:entry colname="col7">13.9 (2.9–33.4)</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">AZT</oasis:entry>  
         <oasis:entry colname="col2">0.765</oasis:entry>  
         <oasis:entry colname="col3">0.826</oasis:entry>  
         <oasis:entry colname="col4">6.35</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M57" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.058</oasis:entry>  
         <oasis:entry colname="col6">8.5 (6.9–10.5)</oasis:entry>  
         <oasis:entry colname="col7">5.6 (4.0–7.5)</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">THB</oasis:entry>  
         <oasis:entry colname="col2">0.733</oasis:entry>  
         <oasis:entry colname="col3">0.877</oasis:entry>  
         <oasis:entry colname="col4">5.16</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M58" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.163</oasis:entry>  
         <oasis:entry colname="col6">1.0 (0.8–1.1)</oasis:entry>  
         <oasis:entry colname="col7">6.9 (4.1–10.5)</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">CRL</oasis:entry>  
         <oasis:entry colname="col2">0.806</oasis:entry>  
         <oasis:entry colname="col3">0.820</oasis:entry>  
         <oasis:entry colname="col4">7.86</oasis:entry>  
         <oasis:entry colname="col5">0.024</oasis:entry>  
         <oasis:entry colname="col6">14.4 (12.4–16.7)</oasis:entry>  
         <oasis:entry colname="col7">7.9 (5.5–10.7)</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p>QHR <inline-formula><mml:math id="M41" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> Quarter Horse; AZT <inline-formula><mml:math id="M42" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> Azteca; THB <inline-formula><mml:math id="M43" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> Thoroughbred; CRL <inline-formula><mml:math id="M44" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> Creole,
<inline-formula><mml:math id="M45" display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">E</mml:mi></mml:msub><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> expected heterozygosity; <inline-formula><mml:math id="M46" display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">O</mml:mi></mml:msub><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> observed heterozygosity;
AR <inline-formula><mml:math id="M47" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> allelic richness; <inline-formula><mml:math id="M48" display="inline"><mml:mrow><mml:msub><mml:mi>F</mml:mi><mml:mi mathvariant="normal">IS</mml:mi></mml:msub><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> population inbreeding coefficient.
Effective population size (95 % confidence interval) estimated
with the linkage disequilibrium (LDN<inline-formula><mml:math id="M49" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:math></inline-formula>) and molecular co-ancestry (MCN<inline-formula><mml:math id="M50" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mi mathvariant="normal">e</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>
method.</p></table-wrap-foot></table-wrap>

      <p>The four breeds showed heterozygosity values around 0.800 and lower,
with the highest HE values observed in the CRL and AZT populations (Table 2). All
HO values were higher than their corresponding HE values and the higher values were
estimated in THB. Although values for AR were similar between the four
breeds, the highest and the lowest values were found in the CRL and THB
groups, respectively (Table 2). Values of FIS were negative and near zero,
directly related to heterozygosity estimates. The estimated Ne values were low and
varied from 1.0 to 14.4 for the THB and CRL breeds, respectively, by LD method.
Whereas, the higher Ne values from the CM method was estimated for QHR. Both
methods
provided low but different estimations of Ne for analysed breed groups;
however,
in general, lower effective population estimates were observed in THB (Table 2).</p>
      <p>Genetic assignment analysis showed no possible pattern of genetic flow
between assessed breeds since all individuals were assigned to their
reference-compared populations. However, a resemblance between breeds was
suggested by the population structure analysis; the Evanno's test indicated
that the most informative number of subpopulations were <inline-formula><mml:math id="M59" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M60" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 2 (Fig. 1).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><caption><p>Population structure graphics showing  <inline-formula><mml:math id="M61" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula>2 to <inline-formula><mml:math id="M62" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula>4 clustering of four
horse breeds in South-Central Mexico.</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://aab.copernicus.org/articles/60/137/2017/aab-60-137-2017-f01.png"/>

      </fig>

</sec>
<sec id="Ch1.S4">
  <title>Discussion</title>
      <p>Documentation in the specialized literature on the genetic diversity and
structure of current horse breeds in Mexico is scarce. However, it is well
known that some breeds were introduced for different recreational
purposes. It is important to highlight that the population analysed in the
present study has a significant relevance for breeding practices as it is
composed of stallions and young male breeding candidates that will be used
for breed dissemination locally and regionally by natural breeding and/or
with the use of assisted reproduction (e.g. artificial insemination).</p>
      <p>In some genetic diversity studies with microsatellites the number of horses
analysed per breed ranged from 17 to 24 (Aberle et al., 2004; Solis et al.,
2005; Marletta et al., 2006; Burócziová and Říha, 2009;
Leroy et al., 2009; Chauhan et al., 2011; Ling et al., 2011; van de Goor et
al., 2011; Prystupa et al., 2012; Khanshour et al., 2013; Berber et al.,
2014), which is similar to the number of animals used per breed in the
present study.</p>
      <p>Consistent with the total average number of alleles observed, the allelic
richness estimations by breed were low, promoted perhaps by the reduced
sample size or possible founder events (Greenbaum et al., 2014). Since AR is
considered a useful indicator of population size reduction and past
bottleneck events (Nei et al., 1975), the implication for our sampled
breeds could be more important as no information on the initial allelic
composition available could suggest a deep reduction in original diversity.
Is important to observe that a decrease in the allelic richness could lead
to a reduction in the population's potential to adapt to future
environmental changes, hence the importance for conservation management
(Greenbaum et al., 2014).</p>
      <p>Heterozygosity was slightly higher than that reported for Thoroughbred
horses (Cunningham, et al., 2001; Glowatzki-Mullis, et al., 2006; van de
Goor et al., 2011) and Quarter Horses (Luis et al., 2007) in previous
studies with the same or similar loci and could be due in part to the random
origin of the samples (different ranches). Similarly, lower heterozygosity
values were reported in Argentine, Brazilian, Chilean and Venezuelan CRL
horses (Cothran et al., 2011).</p>
      <p>The negative FIS values found in the four breeds indicate high intra-breed
variability and lower heterozygosity. Petersen et al. (2013), using
whole-genome single-nucleotide polymorphism data, suggested that horse breeds
with low within-breed diversity, such as Thoroughbred and Quarter Horse, may
be related to population bottlenecks, intense selective pressure or closed
conditions due to their long breed histories. For the Thoroughbred breed,
they reported a high mean individual inbreeding coefficient (larger than
10 %) (Petersen et al., 2013). In the present study, high heterozygosis
showed no current inbreeding risk. Nevertheless, the two methods used for Ne
estimation consistently indicated very low effective populations. However,
the LD method was suggested to have estimation bias when used on small
samples (England et al., 2006). Recently, improvement in contemporary
effective population size estimation methods (e.g. NeEstimator v.2.0)
suggests highly reliable estimates of Ne under migration (LD method) and no
migration (MC method) assumptions, even with small samples (Gilbert and
Whitlock, 2015). Perhaps further and wider sampling would confirm the present
results.</p>
      <p>In general, the present results confirmed the usefulness of microsatellites
in the assessment of genetic diversity and integrity of different horse
breeds around the world (Aberle et al., 2004; Solis et al., 2005; Marletta
et al., 2006; Luis et al., 2007; Burócziová and Říha, 2009;
Leroy et al., 2009; Chauhan et al., 2011; Ling et al., 2011; van de Goor et
al., 2011; Conant et al., 2012; Prystupa et al., 2012; Khanshour et al.,
2013; Berber et al., 2014). Genetic characterization helps to assure breed
integrity and to assign individuals to defined populations
(Glowatzki-Mullis  et al., 2006). In the present assessment, considering the
population structure results showing the two most likely conforming populations,
and the partially mixed CRL population could suggest some degree of genetic
flow and resemblance that could be explained by the crossbred strategies used
in the creation of the CRL breed, leading to a breed that is not well defined.</p>
      <p>Therefore, both records on breeding management and genetic monitoring by
genetic markers may be necessary to avoid undesirable consequences of
effective population size reduction and breed dilution. Together with
genetic information in classical horse breeding and recent achievements in
population and conservation genetics (Achmann, et al., 2004; Hasler et al.,
2011; Janova et al., 2013), the results of the present study have
implications for better development of management strategies for local
populations such as the breeds assessed here. As such, a comprehensive approach
would include a periodical assessment of known local populations to ensure the
acceptable effective population size and breed integrity documentation of genetic
flow and reproductive management, as most of the introduced animals in the
studied area are used as breeders, being relatively expensive and highly
valued animals.</p>
      <p>In conclusion, using an informative microsatellite panel, we verified
diversity indicators of four introduced horse populations and confirmed
small effective population sizes as a risk for future breed integrity if not
considered during breeding management. Attention to these indicators will
avoid undesirable consequences in the breed integrity of these popular animals.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability">

      <p>Data are available by a mailed request to the corresponding author.</p>
  </notes><notes notes-type="competinginterests">

      <p>The authors declare that they have no conflict of
interest.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?> Edited by: S. Maak<?xmltex \hack{\newline}?>
Reviewed by: two anonymous referees</p>
  </notes><ref-list>
    <title>References</title>

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

    </app></app-group></back>
    <!--<article-title-html>Diversity and effective population size of four horse breeds from microsatellite DNA markers  in South-Central Mexico</article-title-html>
<abstract-html><p class="p">The
South-Central region of Mexico has experienced a sizeable introduction of
purebred horses for recreational aims. A study was designed to assess
effective population sizes and genetic diversity and to verify the genetic
integrity of four horse breeds. Using a 12-microsatellite panel, Quarter Horse, Azteca,
Thoroughbred and Creole (CRL) horses were sampled and analysed for diversity
and genetic structure. Genetic diversity parameters showed high numbers of
heterozygous horses but small effective population sizes in all breeds.
Population structure results suggested some degree of admixture of CRL with
the other reference breeds. The highly informative microsatellite panel
allowed the verification of diversity in introduced horse populations and the
confirmation of small effective population sizes, which suggests a risk for
future breed integrity.</p></abstract-html>
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