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 <!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "http://jats.nlm.nih.gov/publishing/1.0/JATS-journalpublishing1.dtd"> <article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="1.0" xml:lang="en">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JFB</journal-id>
      <journal-title-group>
        <journal-title>Journal of Fertility Biomarkers</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2576-2818</issn>
      <publisher>
        <publisher-name>Open Access Pub</publisher-name>
        <publisher-loc>United States</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">JFB-16-1035</article-id>
      <article-id pub-id-type="doi">10.14302/issn.2576-2818.jfb-16-1035</article-id>
      <article-categories>
        <subj-group>
          <subject>research-article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Family with Sequence Similarity 213, Member A is Associated with the Fertility Selection Index in Holsteins</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Mayumi</surname>
            <given-names>Sugimoto</given-names>
          </name>
          <xref ref-type="aff" rid="idm1808724996">1</xref>
          <xref ref-type="aff" rid="idm1808743548">*</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Yusaku</surname>
            <given-names>Gotoh</given-names>
          </name>
          <xref ref-type="aff" rid="idm1808742324">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Takayoshi</surname>
            <given-names>Kawahara</given-names>
          </name>
          <xref ref-type="aff" rid="idm1808742324">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Yoshikazu</surname>
            <given-names>Sugimoto</given-names>
          </name>
          <xref ref-type="aff" rid="idm1808743836">3</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1808724996">
        <label>1</label>
        <addr-line>National Livestock Breeding Center, Nishigo, Fukushima, Japan, </addr-line>
      </aff>
      <aff id="idm1808742324">
        <label>2</label>
        <addr-line>Holstein Cattle Association of Japan, Hokkaido Branch, Sapporo, Hokkaido, Japan,</addr-line>
      </aff>
      <aff id="idm1808743836">
        <label>3</label>
        <addr-line>Shirakawa Institute of Animal Genetics, Nishigo, Fukushima, Japan</addr-line>
      </aff>
      <aff id="idm1808743548">
        <label>*</label>
        <addr-line>Corresponding author</addr-line>
      </aff>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Sekhar</surname>
            <given-names>Kambakam</given-names>
          </name>
          <xref ref-type="aff" rid="idm1808578500">1</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1808578500">
        <label>1</label>
        <addr-line>Iowa State University</addr-line>
      </aff>
      <author-notes>
        <corresp>
    
    Mayumi Sugimoto, <addr-line>National Livestock Breeding Center, </addr-line><addr-line>Nishigo</addr-line><addr-line>, Fukushima, Japan</addr-line>, 
 E-mail: <email>m0komats@nlbc.go.jp</email>, Phone:<phone>+</phone><phone>81-248-25-5641</phone>, Fax:<fax>+81-248-25-5725</fax>.
  </corresp>
        <fn fn-type="conflict" id="idm1809646228">
          <p>The authors have declared that no competing interests exist.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub" iso-8601-date="2016-07-20">
        <day>20</day>
        <month>07</month>
        <year>2016</year>
      </pub-date>
      <volume>1</volume>
      <issue>1</issue>
      <fpage>20</fpage>
      <lpage>33</lpage>
      <history>
        <date date-type="received">
          <day>19</day>
          <month>04</month>
          <year>2016</year>
        </date>
        <date date-type="accepted">
          <day>12</day>
          <month>07</month>
          <year>2016</year>
        </date>
        <date date-type="online">
          <day>20</day>
          <month>07</month>
          <year>2016</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© </copyright-statement>
        <copyright-year>2016</copyright-year>
        <copyright-holder>Mayumi Sugimoto, et al</copyright-holder>
        <license xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="http://openaccesspub.org/jfb/article/314">This article is available from http://openaccesspub.org/jfb/article/314</self-uri>
      <abstract>
        <p>Female fertility is an economically important trait in the dairy industry, and the fertility selection index has been developed as a method of including female fertility in the breeding goals of this industry. This index considers a combination of factors, including days open, number of inseminations per lactation, success after first insemination, and pregnancy within 70 d, 90 d, and 110 d after parity. Based on a genome-wide association study of the fertility selection index using 442 Holsteins, we found that the index is influenced by a variation in the thioredoxin fold region of the family with the sequence similarity 213, member A (FAM213A) protein. FAM213A is a CXXC motif-containing peroxiredoxin 2-like protein that regulates cellular redox status. A replacement of isoleucine with valine in FAM213A was associated with poor fertility in cows. The overexpression of FAM213A<sup>Val</sup> in bovine endometrial epithelial cells reduced reactive oxygen species to a lesser extent relative to the overexpression of FAM213A<sup>Ile</sup> and caused a decrease in cyclooxygenase-2 expression. Downregulation of cyclooxygenase-2 led to a decline in prostaglandin E2, which is critical for implantation because it protects the conceptus from the maternal immune system. Cows with FAM213A<sup>Val</sup> showed lower levels of prostaglandin E2 than did cows with FAM213A<sup>Ile</sup>, suggesting that cows with FAM213A<sup>Val</sup> are less fertile than cows with FAM213A<sup>Ile</sup> because of their reduced uterine environment. Thus, the present study found that FAM213A unexpectedly modulates female fertility in cattle. </p>
      </abstract>
      <kwd-group>
        <kwd>GWAS</kwd>
        <kwd>Holsteins</kwd>
        <kwd>Fertility Selection Index</kwd>
        <kwd>FAM213A.</kwd>
      </kwd-group>
      <counts>
        <fig-count count="5"/>
        <table-count count="0"/>
        <page-count count="14"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec id="idm1808576772" sec-type="intro">
      <title>Introduction</title>
      <p>Dairy production depends on the frequency at which cows conceive; thus, female fertility is essential for this industry. To improve overall female fertility, the dairy industries in certain countries have combined several reproductive components into one overall index: the fertility selection index (SI) <xref ref-type="bibr" rid="ridm1817146628">1</xref><xref ref-type="bibr" rid="ridm1817214612">2</xref><xref ref-type="bibr" rid="ridm1817228220">3</xref><xref ref-type="bibr" rid="ridm1817009052">4</xref>. In Japan, the SI consists of the estimated breeding values (EBVs) for days open (DO), the number of inseminations per lactation (NI), success after first insemination (SFI), and pregnancy within 70 d (P70), 90 d (P90), and 110 d (P110) after parity <xref ref-type="bibr" rid="ridm1817005020">5</xref>. The first two traits are continuous traits, whereas the other four traits are binary traits that show either success or failure after insemination. The genetic correlations among these reproductive traits are not necessarily ± 1.0 <xref ref-type="bibr" rid="ridm1817146628">1</xref><xref ref-type="bibr" rid="ridm1817228220">3</xref>. Therefore, a principal components analysis is used to estimate weights for each trait and combine them into the SI to allow for the selection of these six fertility traits simultaneously. </p>
      <p>Several groups have already conducted genome-wide association studies (GWASs) for SI using Danish Jersey <xref ref-type="bibr" rid="ridm1817009052">4</xref>, Nordic Red <xref ref-type="bibr" rid="ridm1816993428">6</xref>, and Italian Holstein <xref ref-type="bibr" rid="ridm1816999116">7</xref>. These studies revealed some single nucleotide polymorphisms (SNPs) associated with both SI and individual traits included SI, suggesting that important fertility traits for selection in the population would generate the signal. Thus, studying the genetics of the SI using a GWAS may be helpful for understanding the underlying biological mechanisms and improving the general fertility level of the population.</p>
    </sec>
    <sec id="idm1808576628" sec-type="materials">
      <title>Materials and Methods</title>
      <sec id="idm1808576052">
        <title>Samples</title>
        <p>We collected blood from 7,034 Holstein cows and evaluated their SI <xref ref-type="bibr" rid="ridm1817005020">5</xref>. The mean SI was 0, and cows with a SI lower than -1.35 were in the 5<sup>th</sup> percentile, whereas cows with a SI higher than 1.46 were in the 95<sup>th</sup> percentile of the study population (<xref ref-type="fig" rid="idm1808665420">Figure 1</xref>A). We selected samples from 212 cows with an SI lower than -1.35 as well as samples from 230 cows with an SI higher than 1.46.</p>
        <fig id="idm1808665420">
          <label>Figure 1.</label>
          <caption>
            <title> Fertility selection index (SI) is associated with SNP BovineHD2800009796. A. The distribution of SI values among 7,034 cows. B. A quantile-quantile plot of the GWAS for the SI. The equiangular line (black line) is included in the plot for reference purposes. The dashed horizontal line indicates the threshold for genome-wide significance (assuming a Bonferroni correction) for the 782,696 single nucleotide polymorphisms (SNPs) tested. BovineHD2800009796 is the SNP most significantly associated with the SI on a genome-wide level. </title>
          </caption>
          <graphic xlink:href="images/image1.jpg" mime-subtype="jpg"/>
        </fig>
      </sec>
      <sec id="idm1808574828">
        <title>Whole-Genome Scan</title>
        <p>We genotyped 176 low SI samples and 174 high SI samples using the BovineHD BeadChip (Illumina, San Diego, CA, USA) for a total of 782,696 SNPs. SNPs were excluded if they deviated significantly from Hardy-Weinberg equilibrium (<italic>p </italic>&lt; 0.001), if they had low minor allele frequency (&lt; 0.01), or if they had a call rate &lt; 95 %. We have previously genotyped 36 low and 56 high SI samples using the BovineSNP50 BeadChip (Illumina) <xref ref-type="bibr" rid="ridm1816970644">8</xref> and combined these genotypes into the BovineHD data by treating these 92 samples missed genotype for HD-specific SNPs. We conducted an association analysis using EMMAX software <xref ref-type="bibr" rid="ridm1816974100">9</xref>.</p>
      </sec>
      <sec id="idm1808573172">
        <title>Identification of Novel SNPs</title>
        <p>Based on the Oct. 2011 <italic>Bos </italic><italic>taurus</italic> draft assembly <xref ref-type="bibr" rid="ridm1816951044">10</xref> (Baylor Btau_4.6.1), each of the exons, 2 kb of the 5’ untranslated regions (UTRs) and 2 kb of the 3’ UTRs of the genes located in the associated regions were amplified by polymerase chain reaction (PCR) and sequenced. We defined the genome-wide regions that included significant SNPs as well as their neighboring SNPs with r<sup>2</sup>valuesgreater than 0.2 as the associated region because a linkage disequilibrium decayed rapidly until r<sup>2</sup> reached 0.2 in cattle <xref ref-type="bibr" rid="ridm1816947300">11</xref>. The r<sup>2</sup>values were calculated by a linkage disequilibrium analysis using PLINK software <xref ref-type="bibr" rid="ridm1816944852">12</xref>. The primers for each gene and the samples used to compare the sequences are shown in Tables A and B in the Supplemental data, respectively. </p>
      </sec>
      <sec id="idm1808556996">
        <title>Allelic Substitution Effects</title>
        <p>We genotyped 2,682 cows and 4,165 bulls for <italic>the family with sequence similarity 213, member A (FAM213A)</italic>, <italic>plakophilin 2</italic> (<italic>PKP2</italic>), <italic>cortactin-binding protein 2 N-terminal like</italic> (<italic>CTTNBP2NL</italic>), <italic>SET domain containing 6 </italic>(<italic>SETD6</italic>), <italic>calcium channel, voltage-dependent, beta 2 subunit </italic>(<italic>CACNB2</italic>), and<italic>unc-5 homolog C (UNC5C)</italic>. <italic>FAM213A</italic>was identified as a gene that was associated with the SI in the present study, whereas <italic>PKP2</italic>, <italic>CTTNBP2NL</italic>, <italic>SETD6</italic>, <italic>CACNB2</italic> and <italic>UNC5C</italic> have previously been identified as genes associated with the conception rate (CR) <xref ref-type="bibr" rid="ridm1816970644">8</xref><xref ref-type="bibr" rid="ridm1816944852">12</xref>. The EBVs of cows and bulls with these six traits included in the SI were estimated by a multiple-trait animal model using 1,881,898 records. The EBVs of cows and bulls in relation to the CR were estimated by a threshold repeatability animal model using 3,428,666 values after first parturition. The data were collected between January 1990 and September 2015 by the dairy herd improvement program of Hokkaido, Japan. The allelic substitution effects of these genes were determined using the following equation:</p>
        <fig id="idm1808643572">
          <graphic xlink:href="images/image2.png" mime-subtype="png"/>
        </fig>
        <p>where <inline-graphic xlink:href="images/image3.png" mime-subtype="png"/> = the deregressed estimated breeding value (dEBV) <xref ref-type="bibr" rid="ridm1816954716">13</xref> of animal <italic>i</italic> (= 1, 2, …, <italic>n</italic>) for the SI, DO, NI, SFI, P70, P90, P110, or CR; <inline-graphic xlink:href="images/image4.png" mime-subtype="png"/> = the general average value of the population; <inline-graphic xlink:href="images/image5.png" mime-subtype="png"/> = the genotype covariate (coded as 0 or 2 for the two homozygotes and 1 for heterozygotes) of gene <italic>j</italic> in animal <italic>i</italic>; <inline-graphic xlink:href="images/image6.png" mime-subtype="png"/> = the random regression coefficient representing the allelic substitution effect for gene <italic>j</italic>; and <inline-graphic xlink:href="images/image7.png" mime-subtype="png"/> = the random residual effect for the value of animal<italic>i</italic>. We performed the analyses with the SAS MIXED procedure.</p>
      </sec>
      <sec id="idm1808550196">
        <title>Real-Time PCR</title>
        <p>RNA was extracted from individual samples of bovine brain, kidney, liver, lung, mammary gland, muscle, ovaries, pancreas, stomach, and uterine tissue or from transfected cells using TRIzol reagent (Life Technologies, Carlsbad, CA, USA). Real-time PCR was conducted with an ABI 7900HT Sequence Detection System using the comparative Ct method and glyceraldehyde-3-phosphate dehydrogenase (GAPD) as an internal control (Life Technologies). The primers used in these assays are shown in Table C in the Supplemental data.</p>
      </sec>
      <sec id="idm1808549764">
        <title>Generation of Overexpression Constructs</title>
        <p>We generated bovine <italic>FAM213A</italic> by PCR with the gene’s respective forward and reverse primers (Table D in Supplemental data. These PCR products were further amplified via PCR with the forward-2 and reverse-2 primers (Table D in the Supplemental data) for cloning into a pCAGGS (R-N) vector <xref ref-type="bibr" rid="ridm1816952484">14</xref> using an In-Fusion Advantage PCR Cloning Kit (Takara Bio Inc., Shiga, Japan).</p>
      </sec>
      <sec id="idm1808549188">
        <title>Cell-Viability Assay</title>
        <p>To check the redox activity in cells transfected with bovine <italic>FAM213A</italic>, we performed cell-viability assays. Bovine endometrial epithelial cells (BEnEpCs; Cell Applications, San Diego, CA, USA) were plated and transfected. H<sub>2</sub>O<sub>2</sub> was diluted in PBS and further diluted in culture medium to the indicated concentrations. Cells were incubated in medium containing H<sub>2</sub>O<sub>2</sub> for 24 h, and cell viability was evaluated with the MTT-based Cell Growth Determination Kit (Sigma-Aldrich, Saint Louis, MO, USA) according to the manufacturer’s instructions. The amount of MTT formazan produced was determined by measuring absorbance with a microplate reader (Bio-Rad, Hercules, CA, USA) at a test wavelength of 570 nm and a reference wavelength of 655 nm. The <italic>p</italic>-value was calculated using Student’s t-test.</p>
      </sec>
      <sec id="idm1808547028">
        <title>Measurement of the GSH/GSSG Ratio</title>
        <p>We also measured the GSH/GSSG ratio to compare the cellular redox status in cells transfected with bovine <italic>FAM213A</italic> using the glutathione detection kit (ENZO Life Sciences, Farmingdale, NY, USA) according to the manufacturer’s instructions. In brief, total glutathione (GSHt) and GSSG concentrations were derived from GSH and GSSG standard curves and converted into nanomoles per milligram of protein. The concentrations of reduced GSH were found by subtracting GSSG from GSHt. Finally, the GSH/GSSG ratio was calculated by dividing the difference between GSHt and GSSG concentrations by the GSSG concentration <sup>ratio = GSHt – 2 (GSSG)/GSSG</sup>. The <italic>p</italic>-value was calculated using Student’s t-test.</p>
      </sec>
      <sec id="idm1808547100">
        <title>Immunoblotting Analysis </title>
        <p>To investigate cyclooxygenase-2 (COX-2) expression in cells transfected with bovine <italic>FAM213A</italic>, we analyzed immunoblotting. Protein was extracted from transfected cells using NucleoSpin RNA/Protein (Machrey-Nagel, Düren, Germany). The extracted proteins were separated, transferred to a membrane, and blocked. The blots were incubated with an anti-COX-2 (ab15191, Abcam, Cambridge, UK) or anti-actin (A2066, Sigma-Aldrich) antibody and detected with ECL Prime (GE Healthcare, Buckinghamshire, UK). To estimate the ratio of COX-2 to actin, the obtained images were quantified using ImageQuant LAS 4000 (GE Healthcare).</p>
      </sec>
      <sec id="idm1808546452">
        <title>Enzyme Immunoassays </title>
        <p>To assess prostaglandin E2 (PGE2) secreted by cells transfected with bovine <italic>FAM213A</italic>, we conducted immunoblotting analysis. Pyrrolidine dithiocarbamate (PDTC) and N-(2-cyclohexyloxy-4-nitrophenyl)-methane sulfonamide (NS-398) were purchased from Sigma-Aldrich. Before transfection, BEnEpCs were pretreated with 10 µM PDTC or 10 µM NS-398 for 30 min. The concentration of PGE2 released from the transfected BEnEpCs or the bovine serum were assayed using a PGE2 ELISA kit (ENZO Life Sciences) according to the manufacturer’s instructions. The <italic>p</italic>-value was calculated using Student’s t-test.</p>
      </sec>
    </sec>
    <sec id="idm1808528660" sec-type="results">
      <title>Results</title>
      <p>Our GWAS identified BovineHD2800009796 as the most significantly associated SNP on chromosome 28 (<xref ref-type="fig" rid="idm1808665420">Figure 1</xref>B), and there were no more SNP that may be impacting SI as shown in Graph A in the Supplemental data. The region associated with this SNP included 13 genes (<xref ref-type="fig" rid="idm1808570404">Figure 2</xref>A). To detect possible causative polymorphisms in this region, we sequenced all exons and the 5’ and 3’ UTRs of these 13 genes and found 42 novel SNPs (<xref ref-type="fig" rid="idm1808570404">Figure 2</xref>A). The positions, the minor allele frequencies, and the genotype counts in the GWAS sample for the novel 42 SNPs in Table E in the Supplemental data. A reanalysis of the newly sequenced SNPs demonstrated that FAM213A (A31G: I11V) was the most significant (<xref ref-type="fig" rid="idm1808570404">Figure 2</xref>A). Moreover, we genotyped FAM213A (A31G: I11V) in 2,682 cows and 4,165 bulls and found that the allele substitution effect of <italic>FAM213A</italic> on the dEBV for the SI was 0.18 (<xref ref-type="fig" rid="idm1808570404">Figure 2</xref>B). Cows with the A/A genotype, which codes for Ile/Ile, exhibited a 0.18 higher SI than those with the A/G genotype, which codes for Ile/Val, whereas cows with the G/G genotype, which codes for Val/Val, exhibited a 0.18 lower SI than those with the A/G genotype. <italic>FAM213A</italic> also had favorable effects on the dEBV for the traits that compose the SI (DO, NI, SFI, P90, and P110). The effects of FAM213A were similar to those of <italic>PKP2</italic> (chromosome 5: 82,452,366 bp), <italic>CTTNBP2NL</italic> (chromosome 3: 33,171,753 bp), <italic>SETD6</italic> (chromosome 18: 26,204,767 bp), <italic>CACNB2</italic> (chromosome 13: 32,851,153 bp), and <italic>UNC5C</italic> (chromosome 6: 31,142,900 bp), which have previously been identified to be associated with the CR in the Japanese dairy cow population <xref ref-type="bibr" rid="ridm1816970644">8</xref><xref ref-type="bibr" rid="ridm1816944852">12</xref> (<xref ref-type="fig" rid="idm1808570404">Figure 2</xref>B). Therefore, FAM213A (A31G: I11V) was the most promising causative SNP on chromosome 28 and had a similar impact on the SI as the five genes previously identified to be associated with CR.</p>
      <fig id="idm1808570404">
        <label>Figure 2.</label>
        <caption>
          <title> FAM213A SNP is associated with the SI. A. Association signals on chromosome 28 with the SI using plots of the P values from the EMMAX analysis. The black line represents the threshold for genome-wide significance after applying the Bonferroni correction for multiple comparisons. BovineHD2800009796 was the first significantly associated SNP that was detected, whereas FAM213A (A31G: I11V) was the only significant novel SNP. Blue circles represent the positions of the 42 newly sequenced SNPs. Blue lines represent 13 genes located in the associated region. The triangle diagram represents a pairwise linkage disequilibrium (LD) in the associated region, which was visualized using Haploview 35. Red shades indicate strong LD. B. The allelic substitution effects of FAM213A, PKP2, CTTNBP2NL, SETD6, CACNB2, and UNC5C on the deregressed estimated breeding value (dEBV) 14 for the SI traits days open (DO), number of inseminations per lactation (NI), success after first insemination (SFI), pregnancy within 70 d (P70), 90 d (P90), and 110 d (P110) after parity or for the conception rate (CR). n. s.: non-significant. * and **: p &lt; 0.05 and p &lt; 0.01, respectively.</title>
        </caption>
        <graphic xlink:href="images/image8.jpg" mime-subtype="jpg"/>
      </fig>
      <p>FAM213A protein is a CXXC motif-containing peroxiredoxin (PRX) 2-like protein <xref ref-type="bibr" rid="ridm1816923460">16</xref>. PRXs and thioredoxins (TRXs) are redox regulatory proteins. PRXs play a protective antioxidant role in cells through their peroxidase activity, whereas TRXs alter the redox state of target proteins by catalyzing the reduction of their disulfide bonds through a CXXC motif. FAM213A has a similar sequence to PRXs and contains a CXXC motif that is shared by many enzymes with redox regulatory functions. Thus our identified two types of FAM213A might modulate reactive oxygen species (ROS) differently. To assess its redox activity, we used BEnEpCs derived from bovine uterine tissue because FAM213A is expressed in several bovine tissues including the uterus (<xref ref-type="fig" rid="idm1808577244">Figure 3</xref>A). Cell-viability assays using BEnEpCs transfected with FAM213A revealed that oxidative stress induced by H<sub>2</sub>O<sub>2</sub> treatment decreased cell viability in a dose-dependent manner and indicated that cells with FAM213A<sup>Val</sup> had increased viability relative to that of FAM213A<sup>Ile</sup> in the presence of 0.2 mM H<sub>2</sub>O<sub>2</sub> (<xref ref-type="fig" rid="idm1808577244">Figure 3</xref>B). Consistent with the results of the cell-viability assay, the GSH/GSSG ratio, a proxy for the cellular redox status, was increased in BEnEpCs transfected with FAM213A<sup>Val</sup> to a greater extent than in BEnEpCs transfected with FAM213A<sup>Ile</sup> (<xref ref-type="fig" rid="idm1808577244">Figure 3</xref>C). Furthermore, the GOR prediction for a protein’s secondary structure <xref ref-type="bibr" rid="ridm1816935988">17</xref> revealed that FAM213A<sup>Val</sup> would likely have a shorter b-sheet than FAM213A<sup>Ile</sup> (<xref ref-type="fig" rid="idm1808577244">Figure 3</xref>D). These results suggest that the activity of FAM213A<sup>Val</sup> shifts conditions towards a more reduced environment than does FAM213A<sup>Ile</sup> and indicate that this single amino acid substitution has an impact on the function of this protein.</p>
      <fig id="idm1808577244">
        <label>Figure 3.</label>
        <caption>
          <title> Overexpression of FAM213AVal reduced reactive oxygen species (ROS) to a lesser extent relative to the overexpression of FAM213AIle in bovine endometrial epithelial cells (BEnEpCs). A. FAM213A expression levels in bovine tissues as determined via real-time PCR. B. Relative cell viability of FAM213AIle or FAM213AVal transfected in BEnEpCs in the presence of H2O2. The data are presented as the mean ± SEM (n = 3). The p-value was calculated using Student’s t-test. *: p &lt; 0.05. C. The relative GSH/GSSG ratio in BEnEpCs transfected with FAM213AIle or FAM213AVal in the presence of 0.2 mM H2O2. D. Schematic illustration of the GOR-predicted protein secondary structure for the partial amino acid sequences of FAM213A. Purple lines represent the b-sheet and green curves represent a-helices.</title>
        </caption>
        <graphic xlink:href="images/image9.jpg" mime-subtype="jpg"/>
      </fig>
      <p>ROS are important factors for fertility. In the uterus, the establishment of a maternal-fetal connection is associated with an increase in ROS <xref ref-type="bibr" rid="ridm1816931020">18</xref>. Although ruminants have different types of placentation relative to humans or mice, ROS fluxes occur before implantation in all of these mammals <xref ref-type="bibr" rid="ridm1816900132">19</xref>. Increases of ROS production by peripheral bovine lymphocytes have been reported as pregnancy progresses <xref ref-type="bibr" rid="ridm1816895380">20</xref>. ROS triggers the NF-κB pathway, which enhances COX-2 expression <xref ref-type="bibr" rid="ridm1816892356">21</xref><xref ref-type="bibr" rid="ridm1816890412">22</xref>, suggesting that the more reduced environment created by FAM213A<sup>Val</sup> might decrease COX-2 expression. To explore this possibility, we conducted real-time PCR using RNA extracted from BEnEpCs transfected with FAM213A. As expected, BEnEpCs transfected with FAM213A<sup>Val</sup> expressed less <italic>COX-2</italic> than cells transfected with FAM213A<sup>Ile</sup> (<xref ref-type="fig" rid="idm1808556172">Figure 4</xref>A). Moreover, pretreatment of BEnEpCs with a selective inhibitor of NF-κB, 10 µM PDTC, significantly repressed <italic>COX-2</italic> expression (<xref ref-type="fig" rid="idm1808556172">Figure 4</xref>A). We found the same result in the level of protein expression (<xref ref-type="fig" rid="idm1808556172">Figure 4</xref>B). Thus, the more reduced environment created by FAM213A<sup>Val</sup> appears to decrease COX-2 expression through effects on the NF-κB pathway.   </p>
      <fig id="idm1808556172">
        <label>Figure 4.</label>
        <caption>
          <title> Overexpression of FAM213AVal in BEnEpCs resulted in less cyclooxygenase-2 (COX-2) expression compared with cells overexpressing FAM213AIle. A. The relative COX-2 expression of BEnEpCs transfected with FAM213AIle or FAM213AVal in the absence or presence of pretreatment with 10 µM pyrrolidine dithiocarbamate (PDTC) before treatment with 0.2 mM H2O2. The data are presented as the means of 3 experiments ± SEM. The p-value was calculated using Student’s t-test. B. Representative immunoblots with an anti-COX-2 or anti-actin antibody from BEnEpCs transfected with FAM213AIle or FAM213AVal in the absence or presence of pretreatment with 10 µM PDTC before treatment with 0.2 mM H2O2. Relative ratios of COX-2 to actin (FAM213AIle = 1) are shown.</title>
        </caption>
        <graphic xlink:href="images/image10.jpg" mime-subtype="jpg"/>
      </fig>
      <p>A COX-2 deficiency in mice results in implantation defects <xref ref-type="bibr" rid="ridm1816901716">23</xref>, and one of the products of COX-2, PGE2, can correct these implantation defects in COX-2-deficient mice <xref ref-type="bibr" rid="ridm1816873244">24</xref>. Therefore, decreased COX-2 expression might reduce the production of PGE2 to levels that are inadequate for implantation. Our enzyme immunoassays revealed that BEnEpCs transfected with FAM213A<sup>Val</sup> released less PGE2 compared with cells transfected with FAM213A<sup>Ile</sup> (<xref ref-type="fig" rid="idm1808564740">Figure 5</xref>A). Furthermore, pretreatment of BEnEpCs with a selective inhibitor of COX-2, 10 µM NS-398, or a selective inhibitor of NF-κB, 10 µM PDTC, significantly repressed PGE2production (<xref ref-type="fig" rid="idm1808564740">Figure 5</xref>A). Additionally, the serum concentrations of PGE2 of cows carrying FAM213A<sup>Ile/Ile</sup> were higher than those of cows carrying FAM213A<sup>Val/Ile</sup> or FAM213A<sup>Val/Val</sup> (<xref ref-type="fig" rid="idm1808564740">Figure 5</xref>B). Therefore, the reduced uterine environment created by FAM213A<sup>Val </sup>decreased PGE2production through effects on the NF-κB/COX-2 pathway, which might decrease the SI of cows carrying FAM213A<sup>Val</sup><sup>.</sup></p>
      <fig id="idm1808564740">
        <label>Figure 5.</label>
        <caption>
          <title> Cows with FAM213AVal showed lower levels of prostaglandin E2 (PGE2) compared with cows with FAM213AIle. A. The concentration of PGE2 released from BEnEpCs transfected with FAM213AIle or FAM213AVal in the absence or presence of pretreatment with 10 µM N-(2-cyclohexyloxy-4-nitrophenyl)-methane sulfonamide (NS-398) or 10 µM PDTC before treatment with 0.2 mM H2O2. The data are presented as the means of 3 experiments ± SEM. The p-value was calculated using Student’s t-test. B. The serum concentrations of PGE2 of FAM213AIle/Ile or FAM213AVal/- cows at approximately day 9 of the estrus cycle.</title>
        </caption>
        <graphic xlink:href="images/image11.jpg" mime-subtype="jpg"/>
      </fig>
    </sec>
    <sec id="idm1808501236" sec-type="discussion">
      <title>Discussion</title>
      <p>The present study is the first to demonstrate that FAM213A modulates fertility. Scanning the whole genome of 442 Holsteins and analyzing the results with EMMAX identified a novel mutation associated with the SI. Although we have previously identified several genes associated with the CR in the Japanese Holstein population using a principal component analysis approach <xref ref-type="bibr" rid="ridm1816970644">8</xref><xref ref-type="bibr" rid="ridm1816954716">13</xref>, <italic>FAM213A</italic> is a novel gene associated with fertility, and it has only previously been reported to modulate osteoclast differentiation <italic>in vitro</italic><xref ref-type="bibr" rid="ridm1816923460">16</xref>. One of the reasons for this GWAS result might be that the SI follows a normal distribution, which makes it possible to compare samples belonging to the 5<sup>th</sup> percentile with samples belonging to the 95<sup>th</sup> percentile of the population (<xref ref-type="fig" rid="idm1808665420">Figure 1</xref>A). A second reason might be that the EMMAX method could correct for severe stratification and reduce the effects of unusual clusters of cows that are significantly larger because of intensive genetic selection and the extensive use of artificial insemination in the dairy industry <xref ref-type="bibr" rid="ridm1816871732">25</xref>.  </p>
      <p>However, in the present GWAS, significant SNPs were not observed near the genes previously identified as associated with CR, although the allelic substitution effects of these genes on the SI were significant among the 2,682 cows and 4,165 bulls (<xref ref-type="fig" rid="idm1808570404">Figure 2</xref>B) that were analyzed. The SI consists of reproductive traits that have low heritabilities ranging from 0.05 to 0.14 <xref ref-type="bibr" rid="ridm1817005020">5</xref>. In dairy cattle, only <italic>DGAT1</italic> and <italic>ABCG2 </italic>have been identified and verified by multiple studies to have significant effects on fat and protein concentrations, which have the highest heritabilities of all of the traits that are routinely analyzed <xref ref-type="bibr" rid="ridm1816865396">26</xref>. The heritabilities of these traits range from 0.20 to 0.61 <xref ref-type="bibr" rid="ridm1816864892">27</xref>. Thus, using multiple GWASs to identify and verify the genes responsible for reproductive traits that have low heritabilities might be more difficult than for milk production traits that have high heritabilities. </p>
      <p>We found that cows carrying FAM213A<sup>Val</sup> have a lower SI than cows carrying FAM213A<sup>Ile</sup>. This single amino acid substitution is located in the thioredoxin fold region and predicted to change the length of the b-sheet (<xref ref-type="fig" rid="idm1808577244">Figure 3</xref>D) in this region. The thioredoxin fold region contains a b-a-b-a-b-a-b-b-a arrangement <xref ref-type="bibr" rid="ridm1816844628">28</xref>, and the length of the first b-sheet of the region might be critical for the redox regulatory function of this protein.   </p>
      <p>The identified single amino acid substitution decreases ROS, which reduces COX-2 expression through the NF-κB pathway (<xref ref-type="fig" rid="idm1808556172">Figure 4</xref>) and reduces PGE2 production (<xref ref-type="fig" rid="idm1808564740">Figure 5</xref>). It is worth noting that COX-2 expression and PGE2 production are also induced by interferon-tau <xref ref-type="bibr" rid="ridm1816840812">29</xref>, the pregnancy recognition signal produced by the trophoblast prior to implantation in ruminants, which has been shown to enhance fetal survival when administered to mice <xref ref-type="bibr" rid="ridm1816840020">30</xref><xref ref-type="bibr" rid="ridm1816834620">31</xref>. Along with the interferon-tau pathway, enhancing COX-2 expression and PGE2 production via the ROS/NF-κB pathway might be important for implantation.</p>
      <p>Although we demonstrated effects using BEnEpCs in the present study, FAM213A might also have impacts on different tissues in cows because the SI consists of several reproductive components <xref ref-type="bibr" rid="ridm1817005020">5</xref>. In the ovary, oocyte maturation requires ROS <xref ref-type="bibr" rid="ridm1816831524">32</xref>, and FAM213A was found to be expressed in the ovary (<xref ref-type="fig" rid="idm1808577244">Figure 3</xref>A). Ovulation is initiated by a surge in luteinizing hormone, which generates ROS <xref ref-type="bibr" rid="ridm1816828500">33</xref>. After ovulation, the corpus luteum is produced in the ovary, which also generates ROS <xref ref-type="bibr" rid="ridm1816857804">34</xref>. Moreover, COX-2-deficient mice have demonstrated multiple failures in female reproductive processes, including fertilization, ovulation, and implantation <xref ref-type="bibr" rid="ridm1816901716">23</xref>. Thus FAM213A might affect multiple reproductive processes through the ROS/NF-κB/COX-2/PGE2 pathway.</p>
    </sec>
    <sec id="idm1808494972" sec-type="conclusions">
      <title>Conclusion</title>
      <p>The present study investigated the whole genome in samples from 212 cows with a low SI and samples from 230 cows with a high SI, and a significant association was observed between the SI and FAM213A with a single amino acid polymorphism. Further functional studies revealed that this single amino acid polymorphism in FAM213A reduced ROS, thus leading to decreased COX-2 expression and lower PGE2 production. These results indicate that FAM213A plays a role in female fertility in cows. </p>
    </sec>
    <sec id="idm1808496844">
      <title>Acknowledgments</title>
      <p>The authors thank K. Maruyama for performing extensive genotyping and S. Sasaki for providing useful discussions.</p>
    </sec>
    <sec id="idm1808496556">
      <title>Supplemental Data:</title>
      <p>
        <ext-link xlink:href="jfb161035sd.xls" ext-link-type="uri">Supplementary Data</ext-link>
      </p>
      <p>Primers used to search for SNPs (Table A). Samples used for developing new SNPs (Table B). Primers used for real-time PCR (Table C). Primers used for generating the overexpression constructs (Table D). A quantile-quantile plot of the GWAS for the fertility selection index without BovineHD2800009796 (Graph A). The minor allele frequencies and the genotype counts in the GWAS sample for 42 novel SNPs in chromosome 28 (Table E). The standard error for the allelic substitution effects of<italic> FAM213A</italic>, <italic>PKP2</italic>, <italic>CTTNBP2NL</italic>, <italic>SETD6</italic>, <italic>CACNB2</italic>, and<italic> UNC5C</italic> on the deregressed estimated breeding value for the SI traits days open (DO), number of inseminations per lactation (NI), success after first insemination (SFI), pregnancy within 70 d (P70), 90 d (P90), and 110 d (P110) after parity or for the conception rate (CR) (Table F).</p>
    </sec>
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