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<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">PLoS ONE</journal-id>
<journal-id journal-id-type="publisher-id">plos</journal-id>
<journal-id journal-id-type="pmc">plosone</journal-id><journal-title-group>
<journal-title>PLoS ONE</journal-title></journal-title-group>
<issn pub-type="epub">1932-6203</issn>
<publisher>
<publisher-name>Public Library of Science</publisher-name>
<publisher-loc>San Francisco, USA</publisher-loc></publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">PONE-D-14-02330</article-id>
<article-id pub-id-type="doi">10.1371/journal.pone.0093662</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biology and life sciences</subject><subj-group><subject>Biochemistry</subject><subj-group><subject>Nucleic acids</subject><subject>RNA</subject></subj-group></subj-group><subj-group><subject>Cell biology</subject><subj-group><subject>Molecular cell biology</subject></subj-group></subj-group><subj-group><subject>Computational biology</subject><subj-group><subject>Genome analysis</subject><subj-group><subject>Genome-wide association studies</subject></subj-group></subj-group></subj-group><subj-group><subject>Genetics</subject></subj-group><subj-group><subject>Veterinary science</subject><subj-group><subject>Veterinary medicine</subject><subj-group><subject>Veterinary diagnostics</subject></subj-group></subj-group><subj-group><subject>Veterinary informatics</subject></subj-group></subj-group></subj-group></article-categories>
<title-group>
<article-title>Identification and Characterization of MicroRNAs in Normal Equine Tissues by Next Generation Sequencing</article-title>
<alt-title alt-title-type="running-head">Equine MicroRNA by NGS</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kim</surname><given-names>Myung-Chul</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lee</surname><given-names>Seung-Woo</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ryu</surname><given-names>Doug-Young</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Cui</surname><given-names>Feng-Ji</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bhak</surname><given-names>Jong</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kim</surname><given-names>Yongbaek</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff3"><sup>3</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib>
</contrib-group>
<aff id="aff1"><label>1</label><addr-line>Laboratory of Clinical Pathology, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea</addr-line></aff>
<aff id="aff2"><label>2</label><addr-line>Laboratory of Environmental Health, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea</addr-line></aff>
<aff id="aff3"><label>3</label><addr-line>Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea</addr-line></aff>
<aff id="aff4"><label>4</label><addr-line>Theragen Bio Institute, Suwon-city, Gyeonggi-do, Republic of Korea</addr-line></aff>
<contrib-group>
<contrib contrib-type="editor" xlink:type="simple"><name name-style="western"><surname>Ray</surname><given-names>Ratna B.</given-names></name>
<role>Editor</role>
<xref ref-type="aff" rid="edit1"/></contrib>
</contrib-group>
<aff id="edit1"><addr-line>SAINT LOUIS UNIVERSITY, United States of America</addr-line></aff>
<author-notes>
<corresp id="cor1">* E-mail: <email xlink:type="simple">yongbaek@snu.ac.kr</email></corresp>
<fn fn-type="conflict"><p>The authors have declared that no competing interests exist.</p></fn>
<fn fn-type="con"><p>Conceived and designed the experiments: MCK YK. Performed the experiments: MCK SWL FJC. Analyzed the data: MCK YK DYR JB. Contributed reagents/materials/analysis tools: MCK YK DYR JB. Wrote the paper: MCK YK DYR.</p></fn>
</author-notes>
<pub-date pub-type="collection"><year>2014</year></pub-date>
<pub-date pub-type="epub"><day>2</day><month>4</month><year>2014</year></pub-date>
<volume>9</volume>
<issue>4</issue>
<elocation-id>e93662</elocation-id>
<history>
<date date-type="received"><day>16</day><month>1</month><year>2014</year></date>
<date date-type="accepted"><day>4</day><month>3</month><year>2014</year></date>
</history>
<permissions>
<copyright-year>2014</copyright-year>
<copyright-holder>Kim et al</copyright-holder><license xlink:type="simple"><license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">Creative Commons Attribution License</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p></license></permissions>
<abstract>
<p>The role of microRNAs (miRNAs) as a post-transcriptional gene regulator has been elucidated in a broad range of organisms including domestic animals. Characterization of miRNAs in normal tissues is an important step to investigate the functions of miRNAs in various physiological and pathological conditions. Using Illumina Next Generation Sequencing (NGS) technology, we identified a total of 292 known and 329 novel miRNAs in normal horse tissues including skeletal muscle, colon and liver. Distinct sets of miRNAs were differentially expressed in a tissue-specific manner. The miRNA genes were distributed across all the chromosomes except chromosomes 29 and 31 in the horse reference genome. In some chromosomes, multiple miRNAs were clustered and considered to be polycistronic transcript. A base composition analysis showed that equine miRNAs had a higher frequency of A+U than G+C. Furthermore, U tended to be more frequent at the 5′ end of miRNA sequences. This is the first experimental study that identifies and characterizes the global miRNA expression profile in normal horse tissues. The present study enriches the horse miRNA database and provides useful information for further research dissecting biological functions of miRNAs in horse.</p>
</abstract>
<funding-group><funding-statement>This study was supported by Bio-industry Technology Development Program (Grant no. 1111594) of iPET (Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, Forestry and Fisheries), Ministry of Agriculture, Food and Rural Affairs, Republic of Korea. Myung-Chul Kim and Seung-Woo Lee were additionally supported by the Brain Korea 21 Plus Program for Creative Veterinary Science Research, College of Veterinary Medicine, Seoul National University. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</funding-statement></funding-group><counts><page-count count="10"/></counts></article-meta>
</front>
<body><sec id="s1">
<title>Introduction</title>
<p>MicroRNAs (miRNAs) play a crucial role in various physiological and pathological conditions in a broad range of organisms from viruses to animals <xref ref-type="bibr" rid="pone.0093662-Hwang1">[1]</xref>–<xref ref-type="bibr" rid="pone.0093662-Carrington1">[2]</xref>. The short non-coding RNAs regulate the expression of thousands of genes by partial or complementary binding to target mRNAs, resulting in translational inhibition and/or degradation of the target mRNAs <xref ref-type="bibr" rid="pone.0093662-Flynt1">[3]</xref>–<xref ref-type="bibr" rid="pone.0093662-Ambros1">[5]</xref>. The mature miRNAs are generated from serial stepwise processing <xref ref-type="bibr" rid="pone.0093662-Lee1">[6]</xref>. The enzyme Drosha cleaves the single stranded primary miRNA transcripts(pri-miRNAs) to produce a precursor stem-loop secondary structure(pre-miRNAs) <xref ref-type="bibr" rid="pone.0093662-Bartel1">[7]</xref>. In turn, the pre-miRNAs are cleaved by the enzyme Dicer to produce mature miRNA duplexes <xref ref-type="bibr" rid="pone.0093662-Bernstein1">[8]</xref>. Only one of the two strands acts as a regulatory RNA associated with RNA-induced silencing complex (RISC) <xref ref-type="bibr" rid="pone.0093662-Hammond1">[9]</xref>.</p>
<p>The importance of miRNAs has been recently recognized in veterinary medicine. There is increasing interest in canine miRNAs because of their clinical relevance for human breast cancers <xref ref-type="bibr" rid="pone.0093662-Boggs1">[10]</xref>–<xref ref-type="bibr" rid="pone.0093662-Boggs2">[11]</xref>. Down-regulation of miR-130 and miR-30 in canine heart plays an important role in the pathogenesis of chronic atrial fibrillation <xref ref-type="bibr" rid="pone.0093662-Li1">[12]</xref>. Distinct sets of miRNAs including miR-122, miR-193b, and miR-483 were reported to be involved in the development of type-2 diabetes mellitus in cats <xref ref-type="bibr" rid="pone.0093662-Fleischhacker1">[13]</xref>. A large number of miRNAs have been identified in normal tissues of swine and bovine species <xref ref-type="bibr" rid="pone.0093662-Li2">[14]</xref>–<xref ref-type="bibr" rid="pone.0093662-Jin1">[17]</xref>. However, information about equine miRNAs and their role in clinical conditions is scarce. Recently, <italic>in silico</italic> analytical methodology was applied to identify and characterize mature 354 equine miRNAs <xref ref-type="bibr" rid="pone.0093662-Zhou1">[18]</xref>. A study revealed 82 new miRNAs in equine sperms, suggesting the role of miRNAs in the regulation of sperm function, fertility and reproduction <xref ref-type="bibr" rid="pone.0093662-Das1">[19]</xref>. Barrey et al. <xref ref-type="bibr" rid="pone.0093662-Barrey1">[20]</xref> described the expression profile of muscular miRNAs in healthy and myopathic horses using a direct cloning technology.</p>
<p>Forward genetics, bioinformatics and direct cloning have been utilized to study miRNAs <xref ref-type="bibr" rid="pone.0093662-Wang1">[21]</xref>. Recently, next generation sequencing (NGS) technology has emerged as a major tool to scrutinize small RNAs including miRNAs <xref ref-type="bibr" rid="pone.0093662-Shendure1">[22]</xref>. An important feature of the NGS is parallel sequencing of clonally amplified or single DNA molecules that are spatially separated in a flow cell <xref ref-type="bibr" rid="pone.0093662-Voelkerding1">[23]</xref>. Due to its ability to generate millions of reads with determined lengths, NGS greatly improves the capacity to identify a large number of novel miRNAs on a genomic scale <xref ref-type="bibr" rid="pone.0093662-Kozomara1">[24]</xref>.</p>
<p>Domestic horse, <italic>Equus caballus</italic>, has been a crucial part of human civilization <xref ref-type="bibr" rid="pone.0093662-Vil1">[25]</xref>–<xref ref-type="bibr" rid="pone.0093662-Wade1">[26]</xref>. It is economically important throughout the world and has been used for transportation and entertainment. Moreover, horse is a medically valuable animal model because the species shares over 90 hereditary conditions with human disorders <xref ref-type="bibr" rid="pone.0093662-Nicholas1">[27]</xref>–<xref ref-type="bibr" rid="pone.0093662-Chowdhary1">[28]</xref> as well as many medical conditions such as allergies and osteoarthritis <xref ref-type="bibr" rid="pone.0093662-Lacourt1">[29]</xref>–<xref ref-type="bibr" rid="pone.0093662-Yang1">[30]</xref>. Furthermore, horse can be a valuable model organism for studying biomechanics and exercise physiology <xref ref-type="bibr" rid="pone.0093662-McKenzie1">[31]</xref>. The present study was performed to characterize miRNAs in normal horse tissues by using Illumina high-throughput NGS technology. Our study identifies a list of known miRNAs as well as candidates for novel miRNAs in horse tissues. Additionally, characteristics of horse microRNAs including expression patterns in major tissues, sequence composition and chromosomal distribution were determined. Our study provides background data and information to facilitate research on the role of miRNAs in the pathogenesis of various conditions in horses.</p>
</sec><sec id="s2">
<title>Results</title>
<sec id="s2a">
<title>Library construction of small RNAs from horses</title>
<p>We performed high-throughput short read sequencing of small RNAs from skeletal muscle, liver, and colon tissues from eight Thoroughbred horses. A number of reads, with counts ranging from 11973300 to 21838589, were obtained from the cDNA libraries of small RNAs, of which approximately 100% were of high quality. After eliminating 3′ adapter null, 5′ adapter contaminants, insert null, smaller than 18 nucleotides (nts) and poly A sequences, more than 94% of clean reads in all tissue samples were subjected to further analyses using bioinformatic tools (<xref ref-type="supplementary-material" rid="pone.0093662.s001">Table S1</xref>). The resultant small RNAs ranged from 18 to 30 nts in length, with the majority having a length of 22 nt.</p>
<p>In general, small RNA libraries generated by NGS is complex in composition because they harbor a large number of degradation fragments derived from coding and noncoding transcripts <xref ref-type="bibr" rid="pone.0093662-Wei1">[32]</xref>. To annotate the small RNAs generated by NGS, we performed a BLAST that search of the small RNAs against the equine genome database. Unique small RNAs from muscle, colon, and liver tissues were annotated against the NCBI Genbank and Rfam databases. The annotation results showed that non-coding RNA including exons, introns, repeats, rRNA, scRNA, snRNA, snoRNA, srpRNA, and tRNA accounted for a large percentage of the unique read counts. It also revealed that miRNAs constituted a small portion of the unique read counts but a significant portion of overall read counts (<xref ref-type="supplementary-material" rid="pone.0093662.s002">Table S2</xref>). More than 70% of unique sequences in all the tissues could not be classified. The sequences of unannotated small RNAs that could be mapped to the equine genome were subject to further analyses to identify novel miRNA candidates.</p>
</sec><sec id="s2b">
<title>Expression profile of miRNAs in major organs</title>
<p>To identify previously reported miRNAs in horse tissues, the small RNAs were submitted for a BLAST search against known equine miRNAs and their precursors in the latest miRBase release version 15.0 <xref ref-type="bibr" rid="pone.0093662-Wei1">[32]</xref>. As a result, a total of 201 families including 292 known miRNAs were detected across horse samples (<xref ref-type="supplementary-material" rid="pone.0093662.s003">Table S3</xref>). The length distribution of known miRNAs was similar in all samples mainly 22–24 nts (<xref ref-type="fig" rid="pone-0093662-g001">Figure 1</xref>). The expression profile of known miRNAs in horse tissues was analyzed (<xref ref-type="fig" rid="pone-0093662-g002">Figure 2A</xref>). Subsets of tissue-specific miRNAs were identified: 36 miRNAs in muscle samples, 99 miRNAs in colon samples, and 31 miRNAs in liver samples (<xref ref-type="supplementary-material" rid="pone.0093662.s004">Table S4</xref>).</p>
<fig id="pone-0093662-g001" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0093662.g001</object-id><label>Figure 1</label><caption>
<title>Length distribution and abundance of all miRNAs in horse muscle, colon, and liver tissues.</title>
<p>Approximately 83% of all sequences in horse tissues are concentrated in the 20–24 nt range. The most frequent length is 23 nt in all tissues.</p>
</caption><graphic mimetype="image" xlink:href="info:doi/10.1371/journal.pone.0093662.g001" position="float" xlink:type="simple"/></fig><fig id="pone-0093662-g002" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0093662.g002</object-id><label>Figure 2</label><caption>
<title>Venn diagram representing the distribution of known and novel miRNAs in horse muscle, colon, and liver tissues.</title>
<p>Counts in the Venn diagram are the number of miRNAs identified in each tissue. A total 292 known (A) and 329 novel miRNAs (<bold>B</bold>) are identified in horse tissues including muscle, colon, and liver.</p>
</caption><graphic mimetype="image" xlink:href="info:doi/10.1371/journal.pone.0093662.g002" position="float" xlink:type="simple"/></fig></sec><sec id="s2c">
<title>Identification of novel equine miRNAs</title>
<p>To identify candidates for novel equine miRNAs, a prediction software Mireap (<ext-link ext-link-type="uri" xlink:href="http://sourceforge.net/projects/mireap/" xlink:type="simple">http://sourceforge.net/projects/mireap/</ext-link>) was used to determine secondary structures, the Dicer cleavage sites and the minimum free energy of the unannotated small RNA tags <xref ref-type="bibr" rid="pone.0093662-Ji1">[33]</xref>. Based on the analytical criteria, a total of 329 unannotated miRNA sequences were determined as candidates for novel miRNAs in horse (<xref ref-type="supplementary-material" rid="pone.0093662.s005">Table S5</xref>). The putative novel miRNAs exhibited a concentrated length distribution between 20 nt and 24 nt, with a peak at 21∼22 nt (<xref ref-type="fig" rid="pone-0093662-g003">Figure 3</xref>). Expression profile of the novel miRNAs in horse tissues was investigated (<xref ref-type="fig" rid="pone-0093662-g002">Figure 2B</xref>). Similar to the known miRNAs, subsets of novel miRNAs were expressed in a tissue-specific manner: 31 novel miRNAs in muscle samples, 123 novel miRNAs in colon samples, 45 novel miRNAs in liver samples (<xref ref-type="supplementary-material" rid="pone.0093662.s006">Table S6</xref>). Read counts of most novel miRNAs were less than 100 (Data not shown).</p>
<fig id="pone-0093662-g003" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0093662.g003</object-id><label>Figure 3</label><caption>
<title>Length distribution of novel miRNAs in horse tissues.</title>
<p>miRNA sequences of all lengths are distributed in the 20–24 nt range. The most frequent length is 22 nt (34.65%) in horse miRNAs.</p>
</caption><graphic mimetype="image" xlink:href="info:doi/10.1371/journal.pone.0093662.g003" position="float" xlink:type="simple"/></fig></sec><sec id="s2d">
<title>Mapping to genome and miRNA transcriptional units</title>
<p>A total of 292 known miRNAs were mapped across the 32 horse chromosomes with the exception of chromosomes 29 and 31 (<xref ref-type="fig" rid="pone-0093662-g004">Figure 4</xref>). We attempted to determine whether equine miRNAs show expression patterns representing single transcriptional units. In our analysis, if two miRNAs were within 3 kb of each other, they were considered to be in the same cluster <xref ref-type="bibr" rid="pone.0093662-Liang1">[34]</xref>. We found that up to 160 miRNAs were closely co-localized in clusters with the 3 kb threshold. The equine genome contains 51 miRNA clusters with 160 miRNAs accounting for approximately 55% of the known miRNAs (<xref ref-type="fig" rid="pone-0093662-g005">Figure 5</xref>). The clusters were variably located on individual chromosome. For example, 40 miRNA genes in 4 clusters were mapped to chromosome 24, while only 2 miRNA genes were mapped to chromosomes 6, 12, 14, 16, 18, and 20 (<xref ref-type="table" rid="pone-0093662-t001">Table 1</xref>).</p>
<fig id="pone-0093662-g004" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0093662.g004</object-id><label>Figure 4</label><caption>
<title>Chromosomal locations of 292 known miRNA genes in horse.</title>
<p>Black vertical lines represent the miRNA gene, the depth of color represents the number of miRNA genes in this region. The relative locations of individual miRNAs across the 32 horse chromosomes are shown with the exception of chromosomes 29 and 31.</p>
</caption><graphic mimetype="image" xlink:href="info:doi/10.1371/journal.pone.0093662.g004" position="float" xlink:type="simple"/></fig><fig id="pone-0093662-g005" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0093662.g005</object-id><label>Figure 5</label><caption>
<title>Chromosomal locations of polycistronic miRNAs in horse.</title>
<p>Individual black horizontal lines represent polycistronic miRNA transcripts, the stars refer to multiple miRNA genes in this region. The relative locations of individual miRNAs that are considered as a polycistron are within 3</p>
</caption><graphic mimetype="image" xlink:href="info:doi/10.1371/journal.pone.0093662.g005" position="float" xlink:type="simple"/></fig><table-wrap id="pone-0093662-t001" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0093662.t001</object-id><label>Table 1</label><caption>
<title>Polycistronic miRNAs in horse genome.</title>
</caption><alternatives><graphic id="pone-0093662-t001-1" position="float" mimetype="image" xlink:href="info:doi/10.1371/journal.pone.0093662.t001" xlink:type="simple"/>
<table><colgroup span="1"><col align="left" span="1"/><col align="center" span="1"/><col align="center" span="1"/></colgroup>
<thead>
<tr>
<td align="left" rowspan="1" colspan="1">Chr</td>
<td align="left" rowspan="1" colspan="1">Polycistronic miRNAs</td>
<td align="left" rowspan="1" colspan="1">Positions in chr</td>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>2</bold></td>
<td align="left" rowspan="1" colspan="1">miR-200b, miR-200a, miR-429</td>
<td align="left" rowspan="1" colspan="1">48455071–48453091</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>2</bold></td>
<td align="left" rowspan="1" colspan="1">miR-30e, miR-30c</td>
<td align="left" rowspan="1" colspan="1">17435650–17432816</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>3</bold></td>
<td align="left" rowspan="1" colspan="1">miR-95, miR-218</td>
<td align="left" rowspan="1" colspan="1">103550531–103550551</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>3</bold></td>
<td align="left" rowspan="1" colspan="1">miR-328, miR-138</td>
<td align="left" rowspan="1" colspan="1">9201088–9201162</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>4</bold></td>
<td align="left" rowspan="1" colspan="1">miR-29b, miR-29a</td>
<td align="left" rowspan="1" colspan="1">85327107–85326792</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>4</bold></td>
<td align="left" rowspan="1" colspan="1">miR-183, miR-96</td>
<td align="left" rowspan="1" colspan="1">84472003–84471849</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>5</bold></td>
<td align="left" rowspan="1" colspan="1">miR-153-2, miR-101</td>
<td align="left" rowspan="1" colspan="1">95527968–95527988</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>5</bold></td>
<td align="left" rowspan="1" colspan="1">miR-205, miR-16, miR-15b</td>
<td align="left" rowspan="1" colspan="1">15685339–15685252</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>6</bold></td>
<td align="left" rowspan="1" colspan="1">miR-141, miR-200c</td>
<td align="left" rowspan="1" colspan="1">34423490–34423144</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>7</bold></td>
<td align="left" rowspan="1" colspan="1">miR-492-2, miR-708</td>
<td align="left" rowspan="1" colspan="1">54764367–54764389</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>7</bold></td>
<td align="left" rowspan="1" colspan="1">miR-492-2, miR-24, miR-27a, miR-23a</td>
<td align="left" rowspan="1" colspan="1">44930206–44929889</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>7</bold></td>
<td align="left" rowspan="1" colspan="1">miR-100, miR-125b</td>
<td align="left" rowspan="1" colspan="1">29500017–29500052</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>7</bold></td>
<td align="left" rowspan="1" colspan="1">miR-34c, miR-34b</td>
<td align="left" rowspan="1" colspan="1">20101717–20101221</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>7</bold></td>
<td align="left" rowspan="1" colspan="1">miR-34b, miR-7-2</td>
<td align="left" rowspan="1" colspan="1">2932730–2932799</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>8</bold></td>
<td align="left" rowspan="1" colspan="1">miR-133a, miR-1</td>
<td align="left" rowspan="1" colspan="1">39912260–39912288</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>8</bold></td>
<td align="left" rowspan="1" colspan="1">miR-130b, miR-301b</td>
<td align="left" rowspan="1" colspan="1">3383110–3382875</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>10</bold></td>
<td align="left" rowspan="1" colspan="1">miR-99b, let-7e, miR-125a</td>
<td align="left" rowspan="1" colspan="1">21370890–21371640</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>11</bold></td>
<td align="left" rowspan="1" colspan="1">miR-497, miR-195</td>
<td align="left" rowspan="1" colspan="1">50049193–50048962</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>11</bold></td>
<td align="left" rowspan="1" colspan="1">miR-212, miR-132</td>
<td align="left" rowspan="1" colspan="1">45640251–45639901</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>11</bold></td>
<td align="left" rowspan="1" colspan="1">miR-144, miR-451</td>
<td align="left" rowspan="1" colspan="1">42750581–42750479</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>12</bold></td>
<td align="left" rowspan="1" colspan="1">miR-194, miR-192</td>
<td align="left" rowspan="1" colspan="1">25044429–25044298</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>13</bold></td>
<td align="left" rowspan="1" colspan="1">miR-106b, miR-93, miR-25</td>
<td align="left" rowspan="1" colspan="1">8034691–8034329</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>13</bold></td>
<td align="left" rowspan="1" colspan="1">miR-193b, miR-365-2</td>
<td align="left" rowspan="1" colspan="1">30682640–30682716</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>14</bold></td>
<td align="left" rowspan="1" colspan="1">miR-143, miR-145</td>
<td align="left" rowspan="1" colspan="1">28434698–28433339</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>16</bold></td>
<td align="left" rowspan="1" colspan="1">miR-191, let-7g</td>
<td align="left" rowspan="1" colspan="1">35442186–35442267</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>17</bold></td>
<td align="left" rowspan="1" colspan="1">miR-92a, miR-19b, miR-20a, miR-19a, miR-18a, miR-17</td>
<td align="left" rowspan="1" colspan="1">61793120–61792474</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>17</bold></td>
<td align="left" rowspan="1" colspan="1">miR-16-2, miR-15a</td>
<td align="left" rowspan="1" colspan="1">21138923–21138839</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>18</bold></td>
<td align="left" rowspan="1" colspan="1">miR-10b, miR-128-2</td>
<td align="left" rowspan="1" colspan="1">19492393–19492419</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>20</bold></td>
<td align="left" rowspan="1" colspan="1">miR-582, miR-30c-2</td>
<td align="left" rowspan="1" colspan="1">62697786–62697808</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>23</bold></td>
<td align="left" rowspan="1" colspan="1">miR-342, let-7f, let-7d</td>
<td align="left" rowspan="1" colspan="1">54150817–54148904</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>23</bold></td>
<td align="left" rowspan="1" colspan="1">miR-204b-2, miR-7-3</td>
<td align="left" rowspan="1" colspan="1">6798843–6798880</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>23</bold></td>
<td align="left" rowspan="1" colspan="1">miR-23b, miR-27b, miR-24-2</td>
<td align="left" rowspan="1" colspan="1">2317924–2317244</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>24</bold></td>
<td align="left" rowspan="1" colspan="1">miR-656, miR-541, miR-496, miR-412, miR-410, miR-409, miR-377</td>
<td align="left" rowspan="1" colspan="1">42937011–42930226</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">miR-369, miR-154</td>
<td align="left" rowspan="1" colspan="1"/>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>24</bold></td>
<td align="left" rowspan="1" colspan="1">miR-485, miR-134, miR-382, miR-487a, miR-655, miR-544-2, miR-889</td>
<td align="left" rowspan="1" colspan="1">42925986-42911169</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">miR-539, miR-487b, miR-381, miR-1185, miR-376a, miR-376b, miR-376c</td>
<td align="left" rowspan="1" colspan="1"/>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>24</bold></td>
<td align="left" rowspan="1" colspan="1">miR-495, miR-543, miR-1193, miR-494, miR-329, miR-758, miR-323</td>
<td align="left" rowspan="1" colspan="1">42906084–42894709</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"/>
<td align="left" rowspan="1" colspan="1">miR-1197, miR-380, miR-299, miR-411, miR-379</td>
<td align="left" rowspan="1" colspan="1"/>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>24</bold></td>
<td align="left" rowspan="1" colspan="1">miR-136, miR-432, miR-127, miR-433, miR-431</td>
<td align="left" rowspan="1" colspan="1">42748685–42745108</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>25</bold></td>
<td align="left" rowspan="1" colspan="1">miR-181b, miR-181a</td>
<td align="left" rowspan="1" colspan="1">28673901–28672731</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>25</bold></td>
<td align="left" rowspan="1" colspan="1">miR-126, miR-219-2</td>
<td align="left" rowspan="1" colspan="1">31667420–31667458</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>26</bold></td>
<td align="left" rowspan="1" colspan="1">miR-99a-2, miR-125b-2, let-7c</td>
<td align="left" rowspan="1" colspan="1">15508980–15509792</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>28</bold></td>
<td align="left" rowspan="1" colspan="1">let-7a, let-7a-2</td>
<td align="left" rowspan="1" colspan="1">42016391–42016461</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>28</bold></td>
<td align="left" rowspan="1" colspan="1">miR-33a, miR-135a-2</td>
<td align="left" rowspan="1" colspan="1">22270420–22270497</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>30</bold></td>
<td align="left" rowspan="1" colspan="1">miR-653, miR-181a-2</td>
<td align="left" rowspan="1" colspan="1">26398982–26399027</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>30</bold></td>
<td align="left" rowspan="1" colspan="1">miR-664, miR-194-2, miR-215</td>
<td align="left" rowspan="1" colspan="1">10337974–10337730</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>X</bold></td>
<td align="left" rowspan="1" colspan="1">miR-424, miR-503</td>
<td align="left" rowspan="1" colspan="1">106954949–106954687</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>X</bold></td>
<td align="left" rowspan="1" colspan="1">miR-542, miR-451a, miR-450a, miR-450b</td>
<td align="left" rowspan="1" colspan="1">106949741–106948733</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>X</bold></td>
<td align="left" rowspan="1" colspan="1">miR-106a, miR-18b, miR-20b, miR-19b-2, miR-92a-2, miR-363</td>
<td align="left" rowspan="1" colspan="1">106692701–106691957</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>X</bold></td>
<td align="left" rowspan="1" colspan="1">miR-374a, miR-545</td>
<td align="left" rowspan="1" colspan="1">55500596–55500517</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>X</bold></td>
<td align="left" rowspan="1" colspan="1">miR-374b, miR-421</td>
<td align="left" rowspan="1" colspan="1">55435984–55435897</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>X</bold></td>
<td align="left" rowspan="1" colspan="1">miR-502, miR-660, miR-500-2, miR-501, miR-362, miR-500</td>
<td align="left" rowspan="1" colspan="1">40077407–40073367</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>X</bold></td>
<td align="left" rowspan="1" colspan="1">miR-188, miR-532</td>
<td align="left" rowspan="1" colspan="1">40068847–40068549</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"><bold>X</bold></td>
<td align="left" rowspan="1" colspan="1">miR-222, miR-221</td>
<td align="left" rowspan="1" colspan="1">37091426–37090756</td>
</tr>
</tbody>
</table>
</alternatives></table-wrap></sec><sec id="s2e">
<title>Nucleotide bias of equine miRNAs</title>
<p>The first nucleotide at the 5′ end of organ-specific miRNAs of any length was predominantly U with a frequency of 40%, 35%, and 43% in muscle, colon, and liver tissues, respectively (<xref ref-type="fig" rid="pone-0093662-g006">Figure 6</xref>). Likewise, G and A were the only preferred nucleotide at the 5′ end of 18 and 19 nt long miRNAs in colon, although very short miRNAs that were 18 to 19 nt long were rare in horse. The base composition at each position of all mature miRNAs revealed a clear tendency for U being the most frequently observed nucleotide at specific sites (1, 9, 21, 23–26, and 28). However, C was the least used nucleotide at specific sites (3, 7, 12, 13, 15, 16, 18, 19, 21, 24, and 25) in all tissue miRNA sequences. The distribution of A+U, accounting for an average of 72%, was generally preferred to C+G in all tissue samples (<xref ref-type="fig" rid="pone-0093662-g007">Figure 7</xref>). In contrast, from third to sixth nucleotide positions, C+G was more abundant than A+U in all tissue-specific miRNAs. Furthermore, from the second to eighth nucleotide positions, which belong to the seed region of miRNAs, colon miRNAs showed prominent C+G compared to A+U (Data not shown) <xref ref-type="bibr" rid="pone.0093662-Creighton1">[35]</xref>.</p>
<fig id="pone-0093662-g006" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0093662.g006</object-id><label>Figure 6</label><caption>
<title>The percentage distribution of the first nucleotide at the 5′ end of all miRNAs of all lengths.</title>
<p>Various nucleotides are detected at the 5′ end of miRNA sequences. In general, U is the predominant nucleotide at 5′ end of all miRNAs of all lengths except for miRNAs of lengths 19 and 21.</p>
</caption><graphic mimetype="image" xlink:href="info:doi/10.1371/journal.pone.0093662.g006" position="float" xlink:type="simple"/></fig><fig id="pone-0093662-g007" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0093662.g007</object-id><label>Figure 7</label><caption>
<title>The percentage distribution of base composition at each position of miRNAs.</title>
<p>MiRNAs in all combined tissues.</p>
</caption><graphic mimetype="image" xlink:href="info:doi/10.1371/journal.pone.0093662.g007" position="float" xlink:type="simple"/></fig></sec></sec><sec id="s3">
<title>Discussion</title>
<p>Using Illumina short read sequencing technology, a total of 292 known and 329 novel miRNAs were identified in equine tissues including muscle, liver, and colon. Furthermore, it was found that subsets of miRNAs were differentially expressed in horse tissues, suggesting tissue-specific behavior of equine miRNAs. The identification and characterization of equine miRNAs was carried out using NGS technology to obtain millions of small RNA sequences and to construct small RNA differential expression profile in target organs <xref ref-type="bibr" rid="pone.0093662-Voelkerding1">[23]</xref>. Although NGS has the advantage of cloning small RNAs exclusively, it has several disadvantages compared to computational approaches <xref ref-type="bibr" rid="pone.0093662-West1">[41]</xref>. The limitations include the difficulty of finding miRNAs that are expressed at a low level and a cloning inability due to physical properties such as sequence composition and/or post-transcriptional modifications <xref ref-type="bibr" rid="pone.0093662-Galuppo1">[42]</xref>. Further studies are warranted to elucidate a comprehensive list of equine miRNAs that are biologically important.</p>
<p>Although horses are one of the most important domestic animals, research on equine miRNAs has been limited <xref ref-type="bibr" rid="pone.0093662-Chi1">[36]</xref>. Attempts have recently been made to investigate the role of equine miRNAs in various conditions. A study using direct sequencing verified two miRNAs, miR-433 and -127, in horse, thus proving the conservation of the miRNAs throughout mammalian species <xref ref-type="bibr" rid="pone.0093662-Song1">[37]</xref>. Zhou et al.<xref ref-type="bibr" rid="pone.0093662-Zhou1">[18]</xref> discovered a total of 354 mature miRNAs through an integrated computational analysis of an equine genome, providing a baseline for horse miRNA research. Additionally, they presented valuable references for all major sequence characteristics of horse miRNAs, such as the contents of each nucleotide, A+U, C+G, and base composition at each position of pre-miRNA and mature miRNA sequences. Recently, expression profiles of 82 miRNAs were characterized in equine sperms, indicating their role in the regulation of sperm function, fertility, and reproduction <xref ref-type="bibr" rid="pone.0093662-Das1">[19]</xref>. A study revealed that 10 miRNAs were significantly expressed in equine muscles, some of which were also expressed in blood samples <xref ref-type="bibr" rid="pone.0093662-Barrey1">[20]</xref>. The present study provides the first experimental data on expression profile of global equine miRNAs using NGS technology, some of which were previously reported in an <italic>in silico</italic> study <xref ref-type="bibr" rid="pone.0093662-Zhou1">[18]</xref>.</p>
<p>In horse, the characterization of miRNAs in major organs including liver, skeletal muscle, and large intestine has significant clinical relevance to important equine diseases. Horses are more prone to develop colic, a fatal disease complex resulting from numerous factors including strangulation, obstruction and volvulus <xref ref-type="bibr" rid="pone.0093662-Mair1">[38]</xref>. Approximately 34% of horses undergoing an exploratory laparotomy had displacement or volvulus of the large colon due to its free mobility in the abdominal cavity <xref ref-type="bibr" rid="pone.0093662-Mair1">[38]</xref>–<xref ref-type="bibr" rid="pone.0093662-Mair2">[39]</xref>. Unfortunately, despite the magnitude of the problem of equine colic, relatively little has been known about exact causes. Because of their nature and human usage, horses are affected by various types of muscle diseases including exercise-associated myopathy, post-exhaustion syndrome, and nutritional myopathy <xref ref-type="bibr" rid="pone.0093662-Freestone1">[40]</xref>. Horses frequently develop liver disease because of their grazing habits, causing significant economic losses <xref ref-type="bibr" rid="pone.0093662-West1">[41]</xref>. Given that the expression profile of miRNA is specific for organs and/or tissues <xref ref-type="bibr" rid="pone.0093662-Flynt1">[3]</xref>, it is clinically important to discover subsets of organ-specific miRNAs. Our study revealed that both known and novel miRNAs in colon have a larger proportion of total miRNAs than other tissues. In contrast to other mammals, the equine large intestine has relatively complicated anatomical structures and physiological functions to facilitate a steady flow of nutrient <xref ref-type="bibr" rid="pone.0093662-Galuppo1">[42]</xref>. Our data may indicate that the colon-specific miRNAs have more sophisticated roles in the colon's regulatory system <xref ref-type="bibr" rid="pone.0093662-Jin1">[17]</xref>.</p>
<p>Barrey et al. <xref ref-type="bibr" rid="pone.0093662-Barrey1">[20]</xref> demonstrated that muscle-specific miRNAs were also detected in blood samples of horses with heritable muscular pathology. The study suggested the potential value of the miRNAs for the development of novel and minimally invasive methodology for diagnosing muscular pathology in horses <xref ref-type="bibr" rid="pone.0093662-Barrey1">[20]</xref>. Similarly, further studies are warranted to investigate expression profile of tissue-specific miRNAs in the blood and may provide valuable biomarker to identify organ damage and various disease conditions.</p>
<p>Characterization of 5′-end sequences of the miRNA is important because seed sequence of a miRNA is critical in miRNA-target mRNA binding <xref ref-type="bibr" rid="pone.0093662-Engels1">[4]</xref>–<xref ref-type="bibr" rid="pone.0093662-Rajewsky1">[43]</xref>. Analysis of nucleotide sequences in eukaryotic miRNAs showed a clear bias for U or A at the 5′ position <xref ref-type="bibr" rid="pone.0093662-Frank1">[44]</xref>. Our study revealed that U was the most frequent nucleotide at the 5′-end of tissue-specific miRNAs, followed by A. This finding is consistent with results from the published studies on miRNAs of other organisms [18–32–33–45]. In plant, U at the end of 5′ was proposed as being critical for the biogenesis of miRNAs through the recognition of targeted miRNA precursor by RISC <xref ref-type="bibr" rid="pone.0093662-Zhang1">[46]</xref>. The C+G contents in the 6<sup>th</sup> position of the seed region were known to induce or enhance the function of a miRNA <xref ref-type="bibr" rid="pone.0093662-Ai1">[45]</xref>. In our study, all tissue miRNAs had high percentages of C+G from the third to sixth positions in the sequence. The miRNAs in colon had more distinct sequence bias showing high percentage of C+G in all of the seed nucleotides such a bias may be responsible for distinct functions in colon compared to different organs <xref ref-type="bibr" rid="pone.0093662-Ai1">[45]</xref>. The base bias in seed sequence may provide a valuable reference for further study on the identification of regulatory cellular function of miRNAs.</p>
<p>In our study, the equine miRNAs were located on diverse chromosomes. An intriguing feature was that the distribution of miRNAs along the chromosomes was uneven; some chromosomes were relatively miRNA-rich while others were miRNA-poor. Based on chromosomal mapping, more than half of the known miRNAs that exists within 3 kb threshold of each other were considered as a polycistronic transcript. It is interesting to note that our study revealed a number of putative miRNA clusters in horse genome. Consistent with a published study on horse miRNAs <xref ref-type="bibr" rid="pone.0093662-Zhou1">[18]</xref>, a miR-17-92 cluster was also detected on chromosome 17 in our study. This cluster is reportedly harboring miR-17, miR-18a, miR-19a, miR-19b, miR-20a, and miR-92a, and is a well-preserved cluster in human and all vertebrates <xref ref-type="bibr" rid="pone.0093662-Boggs2">[11]</xref>–<xref ref-type="bibr" rid="pone.0093662-Zhou1">[18]</xref>. In mammals, the miR-17-92 cluster is divided into two cluster paralogs: miR-106b-25 cluster and the miR-106a-363 cluster <xref ref-type="bibr" rid="pone.0093662-Mendell1">[47]</xref>. In our study, the former cluster was located on chromosome 13 and the latter cluster on chromosome X. Further studies addressing the precise role of polycistronic transcripts in horse may enhance our understanding about the mechanisms of miRNA generation.</p>
<p>The present study revealed that approximately 53% of the known miRNAs were observed as part of a polycistronic unit. The finding suggests that the clustering property of miRNAs is preserved in horse, although there is partial discrepancy in chromosomal location compared with human data <xref ref-type="bibr" rid="pone.0093662-Mendell1">[47]</xref>. The proportion of miRNAs in polycistronic units is similar to that of zebrafish miRNAs (50%) <xref ref-type="bibr" rid="pone.0093662-Thatcher1">[48]</xref>. It is noteworthy that approximately 72% of clustered equine miRNAs in our study correspond to those detected by the computational analysis of horse <xref ref-type="bibr" rid="pone.0093662-Zhou1">[18]</xref>. However, 45 of the 160 miRNAs that are considered as a polycistron could not be identified at orthologous positions in the <italic>in silico</italic> study <xref ref-type="bibr" rid="pone.0093662-Zhou1">[18]</xref>. We speculated that difference in analysis methodologies is responsible for this discrepancy in miRNA clustering. In our study the miRNA clustering was made based on sequence data from NGS technology, whereas the <italic>in silico</italic> study utilized a limited number of miRNAs identified by BLAST search. Zhou et al. <xref ref-type="bibr" rid="pone.0093662-Zhou1">[18]</xref> reported polycistronic miRNAs such as miR-302a, -302b, -302c, -302d, and -367 on chromosome 2 and miR-1912 and -1264 on chromosome X, these were not found in our result. In contrast, newly found polycistronic miRNAs in our study were not reported by Zhou et. al <xref ref-type="bibr" rid="pone.0093662-Gu1">[16]</xref>. A number of questions for the clustering property for equine miRNAs remain to be clarified in further studies.</p>
</sec><sec id="s4">
<title>Conclusions</title>
<p>In the present study, we identified 292 known and 329 novel miRNAs in normal equine tissues by using NGS technology. This study significantly enriches the horse miRNA database and presents a valuable reference for equine miRNAs. In addition, the global miRNA expression profile in equine tissues revealed that distinct sets of miRNAs were expressed in a tissue-specific pattern. Clustering in chromosomes and sequence characteristics of miRNA may be useful for dissecting their biological functions in horse. Taken together, the present study suggests that equine miRNAs may play an important role in development and function of specific tissues, and therefore, they can be developed as a valuable molecular marker for various pathophysiological conditions.</p>
</sec><sec id="s5" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s5a">
<title>Ethics statement</title>
<p>Animals were sampled with the appropriate consent from horse owners. These horses sacrificed were humanely euthanized following Institutional Animal Care Guidelines for Experimental Animal Use and approved by the Seoul National University Animal Care Committee.</p>
</sec><sec id="s5b">
<title>Tissue collection and high-throughput sequencing of small RNAs</title>
<p>Before the sacrifice, the animals were determined to be healthy based on the results from physical exams, clinical observations and clinicopathologic tests. Major organs including skeletal muscle, liver, and colon were collected immediately after the sacrifice. Collected tissue samples were snap-frozen in liquid nitrogen and stored at −80°C until use. Total RNAs were isolated by a phenol-chloroform method with Trizol reagent (Invitrogen, Carlsbad, CA, USA) according to the manufacturer's recommendations. RNA quality and quantity was determined by Nanodrop (Nanodrop Technologies, Wilmington, DE, USA) and Agilent's 2100 Bioanalyzer (Agilent Technologies, Palo Alto, CA, USA). Total RNAs with high quality were subjected to NGS analysis performed at Theragen Bio Institute (Suwon-city, Gyeonggi-do, The Republic of Korea).</p>
<p>The total RNAs were separated on 15% denaturation polyacrylamide gels, and the band of small RNA fragments between 18 and 32 nt in size were excised. Recovered RNAs from the gels were ligated to a 5′ adaptor and a 3′ adaptor sequentially, and reverse-transcribed to cDNA to obtain sufficient product for Illumina short read sequencing technology (Hiseq 2000). The cDNA products of the small RNA fragments were sequenced directly using Illumina HiSeq 2000 sequencer (Illumina Inc, San Diego, CA, USA) following the Illumina's protocols.</p>
</sec><sec id="s5c">
<title>Sequence analysis of small RNAs</title>
<p>The sequence tags from the NGS were subject to a data cleaning process, which removes the low quality reads, 5′ primer contaminants, reads without 3′ primer or insert tag, reads with poly A, and reads shorter than 18 nt. Then, standard bioinformatics analyses were carried out to annotate the resultant clean tags into different categories. The small RNA tags were annotated using the Rfam RNA family database (<ext-link ext-link-type="uri" xlink:href="http://www.sanger.ac.uk/software/Rfam" xlink:type="simple">http://www.sanger.ac.uk/software/Rfam</ext-link>) and the NCBI GenBank noncoding RNA database (<ext-link ext-link-type="uri" xlink:href="http://www.ncbi.nlm.nih.gov/" xlink:type="simple">http://www.ncbi.nlm.nih.gov/</ext-link>). Sequences perfectly matching the equine genome along their entire length were subjected to subsequent analyses. Sequences matching known equine small RNAs such as rRNA, scRNA, snoRNA, snRNA and tRNA or degradation fragments of mRNAs were excluded in further analyses.</p>
</sec><sec id="s5d">
<title>Identification of conserved and novel miRNAs</title>
<p>The small RNAs cleaned with Genbank and Rfam were aligned against the miRNA databases, miRBase15.0, to identify the conserved miRNA sequences. Whenever there was miRNA information of horse in miRBase 15.0, perfectly matched sequences were considered as known miRNAs. The small RNAs that cannot be annotated to any category were subjected to novel miRNA prediction software, Mireap (<ext-link ext-link-type="uri" xlink:href="http://sourceforge.net/projects/mireap/" xlink:type="simple">http://sourceforge.net/projects/mireap/</ext-link>), which is utilized to predict novel miRNA by exploring the secondary structure, the Dicer cleavage site and the minimum free energy of the unannotated small RNA tags that could be mapped to the horse genome. Potential novel miRNA candidates should meet the following 10 parameters according to Mireap. (1) minimal miRNA sequence length of 18 nt and maximal miRNA sequence length of 26 nt; (2) minimal miRNA reference sequence length of 20 nt and maximal miRNA reference sequence length of 24 nt; (3) minimal depth of Drosha/Dicer cutting site, 3 nt; (4) maximal copy number of miRNAs on reference, 20 nt; (5) maximal free energy allowed for a miRNA precursor, −18 kcal/mol; (6) maximal space between miRNA and miRNA*, 35 nt; (7) minimal base pairs of miRNA and miRNA*, 14 nt (8) maximal bulge of miRNA and miRNA*, 4 nt; (9) maximal asymmetry of miRNA/miRNA* duplex, 5 nt; and (10) flank sequence length of miRNA precursor, 10 nt. The sequencing data of the conserved and novel miRNAs were deposited in the National Center for Biotechnology Information Sequence Read Archive (<ext-link ext-link-type="uri" xlink:href="http://www.ncbi.nlm.nih.gov/Traces/sra/" xlink:type="simple">http://www.ncbi.nlm.nih.gov/Traces/sra/</ext-link>) under submission number SRA058805.</p>
</sec><sec id="s5e">
<title>Characterization of equine miRNAs</title>
<p>To analyze chromosomal distribution, the known miRNAs identified in the miRBase database were mapped to the genome by an alignment program Short Oligonucleotide Analysis Package software (SOAP, <ext-link ext-link-type="uri" xlink:href="http://soap.genomics.org.cn" xlink:type="simple">http://soap.genomics.org.cn</ext-link>). The miRNAs on each chromosome were grouped into clusters based on their locations in the equine genome. If two miRNAs were within 3 kb of each other, they were considered as being in the same cluster <xref ref-type="bibr" rid="pone.0093662-Liang1">[34]</xref>. Using Illumina Hiseq 2000 sequencer, a more detailed analysis was also performed to further characterize the base composition of miRNA sequences. miRNA Sequences were aligned to the miRNA precursor of horse (mature miRNA if there is no precursor information in miRBase15.0) to predict the base bias in the first position of identified miRNAs of certain length and at each position of all the identified miRNAs.</p>
</sec></sec><sec id="s6">
<title>Supporting Information</title>
<supplementary-material id="pone.0093662.s001" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xlink:href="info:doi/10.1371/journal.pone.0093662.s001" position="float" xlink:type="simple"><label>Table S1</label><caption>
<p><bold>Summary of small RNA sequencing data in muscle, colon, and liver samples.</bold></p>
<p>(XLSX)</p>
</caption></supplementary-material><supplementary-material id="pone.0093662.s002" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xlink:href="info:doi/10.1371/journal.pone.0093662.s002" position="float" xlink:type="simple"><label>Table S2</label><caption>
<p><bold>Distribution of the genome-mapped sequence reads in small RNA libraries.</bold></p>
<p>(XLSX)</p>
</caption></supplementary-material><supplementary-material id="pone.0093662.s003" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xlink:href="info:doi/10.1371/journal.pone.0093662.s003" position="float" xlink:type="simple"><label>Table S3</label><caption>
<p><bold>Detailed information of all 292 known miRNA genes in horse genome.</bold></p>
<p>(XLSX)</p>
</caption></supplementary-material><supplementary-material id="pone.0093662.s004" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xlink:href="info:doi/10.1371/journal.pone.0093662.s004" position="float" xlink:type="simple"><label>Table S4</label><caption>
<p><bold>Detailed information of 166 tissue specific miRNA genes in horse genome.</bold></p>
<p>(XLSX)</p>
</caption></supplementary-material><supplementary-material id="pone.0093662.s005" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xlink:href="info:doi/10.1371/journal.pone.0093662.s005" position="float" xlink:type="simple"><label>Table S5</label><caption>
<p><bold>Detailed information of all 329 novel miRNA genes in horse genome.</bold></p>
<p>(XLSX)</p>
</caption></supplementary-material><supplementary-material id="pone.0093662.s006" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xlink:href="info:doi/10.1371/journal.pone.0093662.s006" position="float" xlink:type="simple"><label>Table S6</label><caption>
<p><bold>Detailed information of 199 tissue specific novel miRNA genes in horse genome.</bold></p>
<p>(XLSX)</p>
</caption></supplementary-material></sec></body>
<back>
<ack>
<p>The authors are grateful to Bokyoung Yang (Theragen Bio Institute, Suwon-city, The Republic of Korea) for her excellent technical assistance.</p>
</ack>
<ref-list>
<title>References</title>
<ref id="pone.0093662-Hwang1"><label>1</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Hwang</surname><given-names>H</given-names></name>, <name name-style="western"><surname>Mendell</surname><given-names>J</given-names></name> (<year>2006</year>) <article-title>MicroRNAs in cell proliferation, cell death, and tumorigenesis</article-title>. <source>Br J Cancer</source> <volume>94</volume>: <fpage>776</fpage>–<lpage>780</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Carrington1"><label>2</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Carrington</surname><given-names>JC</given-names></name>, <name name-style="western"><surname>Ambros</surname><given-names>V</given-names></name> (<year>2003</year>) <article-title>Role of microRNAs in plant and animal development</article-title>. <source>Sci Signal</source> <volume>301</volume>: <fpage>336</fpage>–<lpage>338</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Flynt1"><label>3</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Flynt</surname><given-names>AS</given-names></name>, <name name-style="western"><surname>Lai</surname><given-names>EC</given-names></name> (<year>2008</year>) <article-title>Biological principles of microRNA-mediated regulation: shared themes amid diversity</article-title>. <source>Nat Rev Genet</source> <volume>9</volume>: <fpage>831</fpage>–<lpage>842</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Engels1"><label>4</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Engels</surname><given-names>B</given-names></name>, <name name-style="western"><surname>Hutvagner</surname><given-names>G</given-names></name> (<year>2006</year>) <article-title>Principles and effects of microRNA-mediated post-transcriptional gene regulation</article-title>. <source>Oncogene</source> <volume>25</volume>: <fpage>6163</fpage>–<lpage>6169</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Ambros1"><label>5</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Ambros</surname><given-names>V</given-names></name> (<year>2004</year>) <article-title>The functions of animal microRNAs</article-title>. <source>Nature</source> <volume>431</volume>: <fpage>350</fpage>–<lpage>355</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Lee1"><label>6</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Lee</surname><given-names>Y</given-names></name>, <name name-style="western"><surname>Jeon</surname><given-names>K</given-names></name>, <name name-style="western"><surname>Lee</surname><given-names>J-T</given-names></name>, <name name-style="western"><surname>Kim</surname><given-names>S</given-names></name>, <name name-style="western"><surname>Kim</surname><given-names>VN</given-names></name> (<year>2002</year>) <article-title>MicroRNA maturation: stepwise processing and subcellular localization</article-title>. <source>The EMBO journal</source> <volume>21</volume>: <fpage>4663</fpage>–<lpage>4670</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Bartel1"><label>7</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Bartel</surname><given-names>DP</given-names></name> (<year>2004</year>) <article-title>MicroRNAs: genomics, biogenesis, mechanism, and function</article-title>. <source>Cell</source> <volume>116</volume>: <fpage>281</fpage>–<lpage>297</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Bernstein1"><label>8</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Bernstein</surname><given-names>E</given-names></name>, <name name-style="western"><surname>Caudy</surname><given-names>AA</given-names></name>, <name name-style="western"><surname>Hammond</surname><given-names>SM</given-names></name>, <name name-style="western"><surname>Hannon</surname><given-names>GJ</given-names></name> (<year>2001</year>) <article-title>Role for a bidentate ribonuclease in the initiation step of RNA interference</article-title>. <source>Nature</source> <volume>409</volume>: <fpage>363</fpage>–<lpage>366</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Hammond1"><label>9</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Hammond</surname><given-names>SM</given-names></name>, <name name-style="western"><surname>Bernstein</surname><given-names>E</given-names></name>, <name name-style="western"><surname>Beach</surname><given-names>D</given-names></name>, <name name-style="western"><surname>Hannon</surname><given-names>GJ</given-names></name> (<year>2000</year>) <article-title>An RNA-directed nuclease mediates post-transcriptional gene silencing in Drosophila cells</article-title>. <source>Nature</source> <volume>404</volume>: <fpage>293</fpage>–<lpage>296</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Boggs1"><label>10</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Boggs</surname><given-names>RM</given-names></name>, <name name-style="western"><surname>Wright</surname><given-names>ZM</given-names></name>, <name name-style="western"><surname>Stickney</surname><given-names>MJ</given-names></name>, <name name-style="western"><surname>Porter</surname><given-names>WW</given-names></name>, <name name-style="western"><surname>Murphy</surname><given-names>KE</given-names></name> (<year>2008</year>) <article-title>MicroRNA expression in canine mammary cancer</article-title>. <source>Mamm Genome</source> <volume>19</volume>: <fpage>561</fpage>–<lpage>569</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Boggs2"><label>11</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Boggs</surname><given-names>RM</given-names></name>, <name name-style="western"><surname>Moody</surname><given-names>JA</given-names></name>, <name name-style="western"><surname>Long</surname><given-names>CR</given-names></name>, <name name-style="western"><surname>Tsai</surname><given-names>KL</given-names></name>, <name name-style="western"><surname>Murphy</surname><given-names>KE</given-names></name> (<year>2007</year>) <article-title>Identification, amplification and characterization of miR-17-92 from canine tissue</article-title>. <source>Gene</source> <volume>404</volume>: <fpage>25</fpage>–<lpage>30</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Li1"><label>12</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Li</surname><given-names>H</given-names></name>, <name name-style="western"><surname>Li</surname><given-names>S</given-names></name>, <name name-style="western"><surname>Yu</surname><given-names>B</given-names></name>, <name name-style="western"><surname>Liu</surname><given-names>S</given-names></name> (<year>2012</year>) <article-title>Expression of miR-133 and miR-30 in chronic atrial fibrillation in canines</article-title>. <source>Molecular medicine reports</source> <volume>5</volume>: <fpage>1457</fpage>–<lpage>1460</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Fleischhacker1"><label>13</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Fleischhacker</surname><given-names>SN</given-names></name>, <name name-style="western"><surname>Bauersachs</surname><given-names>S</given-names></name>, <name name-style="western"><surname>Wehner</surname><given-names>A</given-names></name>, <name name-style="western"><surname>Hartmann</surname><given-names>K</given-names></name>, <name name-style="western"><surname>Weber</surname><given-names>K</given-names></name> (<year>2013</year>) <article-title>Differential expression of circulating microRNAs in diabetic and healthy lean cats</article-title>. <source>The Veterinary Journal</source> <volume>197</volume>: <fpage>688</fpage>–<lpage>693</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Li2"><label>14</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Li</surname><given-names>G</given-names></name>, <name name-style="western"><surname>Li</surname><given-names>Y</given-names></name>, <name name-style="western"><surname>Li</surname><given-names>X</given-names></name>, <name name-style="western"><surname>Ning</surname><given-names>X</given-names></name>, <name name-style="western"><surname>Li</surname><given-names>M</given-names></name>, <etal>et al</etal>. (<year>2011</year>) <article-title>MicroRNA identity and abundance in developing swine adipose tissue as determined by Solexa sequencing</article-title>. <source>J Cell Biochem</source> <volume>112</volume>: <fpage>1318</fpage>–<lpage>1328</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Dunn1"><label>15</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Dunn</surname><given-names>W</given-names></name>, <name name-style="western"><surname>DuRaine</surname><given-names>G</given-names></name>, <name name-style="western"><surname>Reddi</surname><given-names>AH</given-names></name> (<year>2009</year>) <article-title>Profiling microRNA expression in bovine articular cartilage and implications for mechanotransduction</article-title>. <source>Arthritis Rheum</source> <volume>60</volume>: <fpage>2333</fpage>–<lpage>2339</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Gu1"><label>16</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Gu</surname><given-names>Z</given-names></name>, <name name-style="western"><surname>Eleswarapu</surname><given-names>S</given-names></name>, <name name-style="western"><surname>Jiang</surname><given-names>H</given-names></name> (<year>2007</year>) <article-title>Identification and characterization of microRNAs from the bovine adipose tissue and mammary gland</article-title>. <source>FEBS Lett</source> <volume>581</volume>: <fpage>981</fpage>–<lpage>988</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Jin1"><label>17</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Jin</surname><given-names>W</given-names></name>, <name name-style="western"><surname>Grant</surname><given-names>JR</given-names></name>, <name name-style="western"><surname>Stothard</surname><given-names>P</given-names></name>, <name name-style="western"><surname>Moore</surname><given-names>SS</given-names></name>, <name name-style="western"><surname>Guan</surname><given-names>LL</given-names></name> (<year>2009</year>) <article-title>Characterization of bovine miRNAs by sequencing and bioinformatics analysis</article-title>. <source>BMC Mol Biol</source> <volume>10</volume>: <fpage>90</fpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Zhou1"><label>18</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Zhou</surname><given-names>M</given-names></name>, <name name-style="western"><surname>Wang</surname><given-names>Q</given-names></name>, <name name-style="western"><surname>Sun</surname><given-names>J</given-names></name>, <name name-style="western"><surname>Li</surname><given-names>X</given-names></name>, <name name-style="western"><surname>Xu</surname><given-names>L</given-names></name>, <etal>et al</etal>. (<year>2009</year>) <article-title>In silico detection and characteristics of novel microRNA genes in the Equus caballus genome using an integrated ab initio and comparative genomic approach</article-title>. <source>Genomics</source> <volume>94</volume>: <fpage>125</fpage>–<lpage>131</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Das1"><label>19</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Das</surname><given-names>PJ</given-names></name>, <name name-style="western"><surname>McCarthy</surname><given-names>F</given-names></name>, <name name-style="western"><surname>Vishnoi</surname><given-names>M</given-names></name>, <name name-style="western"><surname>Paria</surname><given-names>N</given-names></name>, <name name-style="western"><surname>Gresham</surname><given-names>C</given-names></name>, <etal>et al</etal>. (<year>2013</year>) <article-title>Stallion Sperm Transcriptome Comprises Functionally Coherent Coding and Regulatory RNAs as Revealed by Microarray Analysis and RNA-seq</article-title>. <source>PLoS One</source> <volume>8</volume>: <fpage>e56535</fpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Barrey1"><label>20</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Barrey</surname><given-names>E</given-names></name>, <name name-style="western"><surname>Bonnamy</surname><given-names>B</given-names></name>, <name name-style="western"><surname>Barrey</surname><given-names>E</given-names></name>, <name name-style="western"><surname>Mata</surname><given-names>X</given-names></name>, <name name-style="western"><surname>Chaffaux</surname><given-names>S</given-names></name>, <etal>et al</etal>. (<year>2010</year>) <article-title>Muscular microRNA expressions in healthy and myopathic horses suffering from polysaccharide storage myopathy or recurrent exertional rhabdomyolysis</article-title>. <source>Equine Vet J</source> <volume>42</volume>: <fpage>303</fpage>–<lpage>310</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Wang1"><label>21</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Wang</surname><given-names>L</given-names></name>, <name name-style="western"><surname>Liu</surname><given-names>H</given-names></name>, <name name-style="western"><surname>Li</surname><given-names>D</given-names></name>, <name name-style="western"><surname>Chen</surname><given-names>H</given-names></name> (<year>2011</year>) <article-title>Identification and characterization of maize microRNAs involved in the very early stage of seed germination</article-title>. <source>BMC Genomics</source> <volume>12</volume>: <fpage>154</fpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Shendure1"><label>22</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Shendure</surname><given-names>J</given-names></name>, <name name-style="western"><surname>Ji</surname><given-names>H</given-names></name> (<year>2008</year>) <article-title>Next-generation DNA sequencing</article-title>. <source>Nat Biotechnol</source> <volume>26</volume>: <fpage>1135</fpage>–<lpage>1145</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Voelkerding1"><label>23</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Voelkerding</surname><given-names>KV</given-names></name>, <name name-style="western"><surname>Dames</surname><given-names>SA</given-names></name>, <name name-style="western"><surname>Durtschi</surname><given-names>JD</given-names></name> (<year>2009</year>) <article-title>Next-generation sequencing: from basic research to diagnostics</article-title>. <source>Clin Chem</source> <volume>55</volume>: <fpage>641</fpage>–<lpage>658</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Kozomara1"><label>24</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Kozomara</surname><given-names>A</given-names></name>, <name name-style="western"><surname>Griffiths-Jones</surname><given-names>S</given-names></name> (<year>2011</year>) <article-title>miRBase: integrating microRNA annotation and deep-sequencing data</article-title>. <source>Nucleic Acids Res</source> <volume>39</volume>: <fpage>D152</fpage>–<lpage>D157</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Vil1"><label>25</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Vilà</surname><given-names>C</given-names></name>, <name name-style="western"><surname>Leonard</surname><given-names>JA</given-names></name>, <name name-style="western"><surname>Götherström</surname><given-names>A</given-names></name>, <name name-style="western"><surname>Marklund</surname><given-names>S</given-names></name>, <name name-style="western"><surname>Sandberg</surname><given-names>K</given-names></name>, <etal>et al</etal>. (<year>2001</year>) <article-title>Widespread origins of domestic horse lineages</article-title>. <source>Science</source> <volume>291</volume>: <fpage>474</fpage>–<lpage>477</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Wade1"><label>26</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Wade</surname><given-names>C</given-names></name>, <name name-style="western"><surname>Giulotto</surname><given-names>E</given-names></name>, <name name-style="western"><surname>Sigurdsson</surname><given-names>S</given-names></name>, <name name-style="western"><surname>Zoli</surname><given-names>M</given-names></name>, <name name-style="western"><surname>Gnerre</surname><given-names>S</given-names></name>, <etal>et al</etal>. (<year>2009</year>) <article-title>Genome sequence, comparative analysis, and population genetics of the domestic horse</article-title>. <source>Science</source> <volume>326</volume>: <fpage>865</fpage>–<lpage>867</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Nicholas1"><label>27</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Nicholas</surname><given-names>FW</given-names></name> (<year>2003</year>) <article-title>Online Mendelian Inheritance in Animals (OMIA): a comparative knowledgebase of genetic disorders and other familial traits in non-laboratory animals</article-title>. <source>Nucleic Acids Res</source> <volume>31</volume>: <fpage>275</fpage>–<lpage>277</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Chowdhary1"><label>28</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Chowdhary</surname><given-names>BP</given-names></name>, <name name-style="western"><surname>Paria</surname><given-names>N</given-names></name>, <name name-style="western"><surname>Raudsepp</surname><given-names>T</given-names></name> (<year>2008</year>) <article-title>Potential applications of equine genomics in dissecting diseases and fertility</article-title>. <source>Anim Reprod Sci</source> <volume>107</volume>: <fpage>208</fpage>–<lpage>218</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Lacourt1"><label>29</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Lacourt</surname><given-names>M</given-names></name>, <name name-style="western"><surname>Gao</surname><given-names>C</given-names></name>, <name name-style="western"><surname>Li</surname><given-names>A</given-names></name>, <name name-style="western"><surname>Girard</surname><given-names>C</given-names></name>, <name name-style="western"><surname>Beauchamp</surname><given-names>G</given-names></name>, <etal>et al</etal>. (<year>2012</year>) <article-title>Relationship between cartilage and subchondral bone lesions in repetitive impact trauma-induced equine osteoarthritis</article-title>. <source>Osteoarthritis Cartilage</source> <volume>20</volume>: <fpage>572</fpage>–<lpage>583</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Yang1"><label>30</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Yang</surname><given-names>H</given-names></name>, <name name-style="western"><surname>Ma</surname><given-names>Y</given-names></name>, <name name-style="western"><surname>Li</surname><given-names>B</given-names></name>, <name name-style="western"><surname>Dugarjaviin</surname><given-names>M</given-names></name> (<year>2010</year>) <article-title>Progress on horse genome project</article-title>. <source>Yi chuan</source> <volume>32</volume>: <fpage>211</fpage>–<lpage>218</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-McKenzie1"><label>31</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>McKenzie</surname><given-names>E</given-names></name> (<year>2011</year>) <article-title>Muscle physiology and nutrition in exercising horses</article-title>. <source>Equine Vet J</source> <volume>43</volume>: <fpage>637</fpage>–<lpage>639</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Wei1"><label>32</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Wei</surname><given-names>LQ</given-names></name>, <name name-style="western"><surname>Yan</surname><given-names>LF</given-names></name>, <name name-style="western"><surname>Wang</surname><given-names>T</given-names></name> (<year>2011</year>) <article-title>Deep sequencing on genome-wide scale reveals the unique composition and expression patterns of microRNAs in developing pollen of Oryza sativa</article-title>. <source>Genome Biol</source> <volume>12</volume>: <fpage>R53</fpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Ji1"><label>33</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Ji</surname><given-names>Z</given-names></name>, <name name-style="western"><surname>Wang</surname><given-names>G</given-names></name>, <name name-style="western"><surname>Xie</surname><given-names>Z</given-names></name>, <name name-style="western"><surname>Zhang</surname><given-names>C</given-names></name>, <name name-style="western"><surname>Wang</surname><given-names>J</given-names></name> (<year>2012</year>) <article-title>Identification and characterization of microRNA in the dairy goat (Capra hircus) mammary gland by Solexa deep-sequencing technology</article-title>. <source>Mol Biol Rep</source> <volume>39</volume>: <fpage>9361</fpage>–<lpage>9371</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Liang1"><label>34</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Liang</surname><given-names>Y</given-names></name>, <name name-style="western"><surname>Ridzon</surname><given-names>D</given-names></name>, <name name-style="western"><surname>Wong</surname><given-names>L</given-names></name>, <name name-style="western"><surname>Chen</surname><given-names>C</given-names></name> (<year>2007</year>) <article-title>Characterization of microRNA expression profiles in normal human tissues</article-title>. <source>BMC Genomics</source> <volume>8</volume>: <fpage>166</fpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Creighton1"><label>35</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Creighton</surname><given-names>CJ</given-names></name>, <name name-style="western"><surname>Reid</surname><given-names>JG</given-names></name>, <name name-style="western"><surname>Gunaratne</surname><given-names>PH</given-names></name> (<year>2009</year>) <article-title>Expression profiling of microRNAs by deep sequencing</article-title>. <source>Brief Bioinform</source> <volume>10</volume>: <fpage>490</fpage>–<lpage>497</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Chi1"><label>36</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Chi</surname><given-names>X</given-names></name>, <name name-style="western"><surname>Yang</surname><given-names>Q</given-names></name>, <name name-style="western"><surname>Chen</surname><given-names>X</given-names></name>, <name name-style="western"><surname>Wang</surname><given-names>J</given-names></name>, <name name-style="western"><surname>Pan</surname><given-names>L</given-names></name>, <etal>et al</etal>. (<year>2011</year>) <article-title>Identification and characterization of microRNAs from peanut (Arachis hypogaea L.) by high-throughput sequencing</article-title>. <source>PLoS One</source> <volume>6</volume>: <fpage>e27530</fpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Song1"><label>37</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Song</surname><given-names>G</given-names></name>, <name name-style="western"><surname>Wang</surname><given-names>L</given-names></name> (<year>2009</year>) <article-title>A conserved gene structure and expression regulation of miR-433 and miR-127 in mammals</article-title>. <source>PLoS One</source> <volume>4</volume>: <fpage>e7829</fpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Mair1"><label>38</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Mair</surname><given-names>T</given-names></name>, <name name-style="western"><surname>Smith</surname><given-names>L</given-names></name> (<year>2005</year>) <article-title>Survival and complication rates in 300 horses undergoing surgical treatment of colic. Part 1: Short-term survival following a single laparotomy</article-title>. <source>Equine Vet J</source> <volume>37</volume>: <fpage>296</fpage>–<lpage>302</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Mair2"><label>39</label>
<mixed-citation publication-type="other" xlink:type="simple">Mair TS, Divers TJ, Ducharme NG (2002) Manual of equine gastroenterology. London: W.B. Saunders.</mixed-citation>
</ref>
<ref id="pone.0093662-Freestone1"><label>40</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Freestone</surname><given-names>J</given-names></name>, <name name-style="western"><surname>Carlson</surname><given-names>G</given-names></name> (<year>1991</year>) <article-title>Muscle disorders in the horse: a retrospective study</article-title>. <source>Equine Vet J</source> <volume>23</volume>: <fpage>86</fpage>–<lpage>90</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-West1"><label>41</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>West</surname><given-names>HJ</given-names></name> (<year>1996</year>) <article-title>Clinical and pathological studies in horses with hepatic disease</article-title>. <source>Equine Vet J</source> <volume>28</volume>: <fpage>146</fpage>–<lpage>156</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Galuppo1"><label>42</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Galuppo</surname><given-names>L</given-names></name>, <name name-style="western"><surname>Snyder</surname><given-names>J</given-names></name>, <name name-style="western"><surname>Pascoe</surname><given-names>J</given-names></name> (<year>1995</year>) <article-title>Laparoscopic anatomy of the equine abdomen</article-title>. <source>Am J Vet Res</source> <volume>56</volume>: <fpage>518</fpage>–<lpage>531</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Rajewsky1"><label>43</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Rajewsky</surname><given-names>N</given-names></name> (<year>2006</year>) <article-title>microRNA target predictions in animals</article-title>. <source>Nat Genet</source> <volume>38</volume>: <fpage>S8</fpage>–<lpage>S13</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Frank1"><label>44</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Frank</surname><given-names>F</given-names></name>, <name name-style="western"><surname>Sonenberg</surname><given-names>N</given-names></name>, <name name-style="western"><surname>Nagar</surname><given-names>B</given-names></name> (<year>2010</year>) <article-title>Structural basis for 5'-nucleotide base-specific recognition of guide RNA by human AGO2</article-title>. <source>Nature</source> <volume>465</volume>: <fpage>818</fpage>–<lpage>822</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Ai1"><label>45</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Ai</surname><given-names>L</given-names></name>, <name name-style="western"><surname>Xu</surname><given-names>M</given-names></name>, <name name-style="western"><surname>Chen</surname><given-names>M</given-names></name>, <name name-style="western"><surname>Zhang</surname><given-names>Y</given-names></name>, <name name-style="western"><surname>Chen</surname><given-names>S</given-names></name>, <etal>et al</etal>. (<year>2012</year>) <article-title>Characterization of microRNAs in Taenia saginata of zoonotic significance by Solexa deep sequencing and bioinformatics analysis</article-title>. <source>Parasitol Res</source> <volume>110</volume>: <fpage>2373</fpage>–<lpage>2378</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Zhang1"><label>46</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Zhang</surname><given-names>B</given-names></name>, <name name-style="western"><surname>Pan</surname><given-names>X</given-names></name>, <name name-style="western"><surname>Cannon</surname><given-names>CH</given-names></name>, <name name-style="western"><surname>Cobb</surname><given-names>GP</given-names></name>, <name name-style="western"><surname>Anderson</surname><given-names>TA</given-names></name> (<year>2006</year>) <article-title>Conservation and divergence of plant microRNA genes</article-title>. <source>The Plant Journal</source> <volume>46</volume>: <fpage>243</fpage>–<lpage>259</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Mendell1"><label>47</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Mendell</surname><given-names>JT</given-names></name> (<year>2008</year>) <article-title>miRiad roles for the miR-17-92 cluster in development and disease</article-title>. <source>Cell</source> <volume>133</volume>: <fpage>217</fpage>–<lpage>222</lpage>.</mixed-citation>
</ref>
<ref id="pone.0093662-Thatcher1"><label>48</label>
<mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Thatcher</surname><given-names>EJ</given-names></name>, <name name-style="western"><surname>Bond</surname><given-names>J</given-names></name>, <name name-style="western"><surname>Paydar</surname><given-names>I</given-names></name>, <name name-style="western"><surname>Patton</surname><given-names>JG</given-names></name> (<year>2008</year>) <article-title>Genomic organization of zebrafish microRNAs</article-title>. <source>BMC Genomics</source> <volume>9</volume>: <fpage>253</fpage>.</mixed-citation>
</ref>
</ref-list></back>
</article>