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<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>
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<journal-title>PLOS ONE</journal-title>
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<issn pub-type="epub">1932-6203</issn>
<publisher>
<publisher-name>Public Library of Science</publisher-name>
<publisher-loc>San Francisco, CA USA</publisher-loc>
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<article-meta>
<article-id pub-id-type="doi">10.1371/journal.pone.0185418</article-id>
<article-id pub-id-type="publisher-id">PONE-D-17-02622</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Article</subject>
</subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Research and analysis methods</subject><subj-group><subject>Experimental organism systems</subject><subj-group><subject>Model organisms</subject><subj-group><subject>Maize</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Research and analysis methods</subject><subj-group><subject>Model organisms</subject><subj-group><subject>Maize</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Organisms</subject><subj-group><subject>Eukaryota</subject><subj-group><subject>Plants</subject><subj-group><subject>Grasses</subject><subj-group><subject>Maize</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Research and analysis methods</subject><subj-group><subject>Experimental organism systems</subject><subj-group><subject>Plant and algal models</subject><subj-group><subject>Maize</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Research and analysis methods</subject><subj-group><subject>Experimental organism systems</subject><subj-group><subject>Model organisms</subject><subj-group><subject>Arabidopsis thaliana</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Research and analysis methods</subject><subj-group><subject>Model organisms</subject><subj-group><subject>Arabidopsis thaliana</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Organisms</subject><subj-group><subject>Eukaryota</subject><subj-group><subject>Plants</subject><subj-group><subject>Brassica</subject><subj-group><subject>Arabidopsis thaliana</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Research and analysis methods</subject><subj-group><subject>Experimental organism systems</subject><subj-group><subject>Plant and algal models</subject><subj-group><subject>Arabidopsis thaliana</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Research and analysis methods</subject><subj-group><subject>Database and informatics methods</subject><subj-group><subject>Bioinformatics</subject><subj-group><subject>Sequence analysis</subject><subj-group><subject>Sequence motif analysis</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Biochemistry</subject><subj-group><subject>Proteins</subject><subj-group><subject>DNA-binding proteins</subject><subj-group><subject>Transcription factors</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Genetics</subject><subj-group><subject>Gene expression</subject><subj-group><subject>Gene regulation</subject><subj-group><subject>Transcription factors</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Biochemistry</subject><subj-group><subject>Proteins</subject><subj-group><subject>Regulatory proteins</subject><subj-group><subject>Transcription factors</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Plant science</subject><subj-group><subject>Plant anatomy</subject><subj-group><subject>Leaves</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Genetics</subject><subj-group><subject>Gene expression</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Evolutionary biology</subject><subj-group><subject>Evolutionary systematics</subject><subj-group><subject>Phylogenetics</subject><subj-group><subject>Phylogenetic analysis</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Taxonomy</subject><subj-group><subject>Evolutionary systematics</subject><subj-group><subject>Phylogenetics</subject><subj-group><subject>Phylogenetic analysis</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Computer and information sciences</subject><subj-group><subject>Data management</subject><subj-group><subject>Taxonomy</subject><subj-group><subject>Evolutionary systematics</subject><subj-group><subject>Phylogenetics</subject><subj-group><subject>Phylogenetic analysis</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Research and analysis methods</subject><subj-group><subject>Experimental organism systems</subject><subj-group><subject>Model organisms</subject><subj-group><subject>Medicago truncatula</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Research and analysis methods</subject><subj-group><subject>Model organisms</subject><subj-group><subject>Medicago truncatula</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Organisms</subject><subj-group><subject>Eukaryota</subject><subj-group><subject>Plants</subject><subj-group><subject>Legumes</subject><subj-group><subject>Fabaceae</subject><subj-group><subject>Medicago</subject><subj-group><subject>Medicago truncatula</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Organisms</subject><subj-group><subject>Eukaryota</subject><subj-group><subject>Plants</subject><subj-group><subject>Flowering plants</subject><subj-group><subject>Medicago</subject><subj-group><subject>Medicago truncatula</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Research and analysis methods</subject><subj-group><subject>Experimental organism systems</subject><subj-group><subject>Plant and algal models</subject><subj-group><subject>Medicago truncatula</subject></subj-group></subj-group></subj-group></subj-group></article-categories>
<title-group>
<article-title>Identification and expression of <italic>GRAS</italic> family genes in maize (<italic>Zea mays</italic> L.)</article-title>
<alt-title alt-title-type="running-head"><italic>GRAS</italic> family genes in maize</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes" xlink:type="simple">
<name name-style="western">
<surname>Guo</surname>
<given-names>Yuyu</given-names>
</name>
<role content-type="http://credit.casrai.org/">Formal analysis</role>
<role content-type="http://credit.casrai.org/">Investigation</role>
<role content-type="http://credit.casrai.org/">Validation</role>
<role content-type="http://credit.casrai.org/">Visualization</role>
<role content-type="http://credit.casrai.org/">Writing – original draft</role>
<xref ref-type="aff" rid="aff001"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes" xlink:type="simple">
<name name-style="western">
<surname>Wu</surname>
<given-names>Hongyu</given-names>
</name>
<role content-type="http://credit.casrai.org/">Formal analysis</role>
<role content-type="http://credit.casrai.org/">Validation</role>
<role content-type="http://credit.casrai.org/">Visualization</role>
<role content-type="http://credit.casrai.org/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff001"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes" xlink:type="simple">
<name name-style="western">
<surname>Li</surname>
<given-names>Xiang</given-names>
</name>
<role content-type="http://credit.casrai.org/">Formal analysis</role>
<role content-type="http://credit.casrai.org/">Funding acquisition</role>
<role content-type="http://credit.casrai.org/">Resources</role>
<role content-type="http://credit.casrai.org/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff001"/>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Li</surname>
<given-names>Qi</given-names>
</name>
<role content-type="http://credit.casrai.org/">Investigation</role>
<role content-type="http://credit.casrai.org/">Methodology</role>
<role content-type="http://credit.casrai.org/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff001"/>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Zhao</surname>
<given-names>Xinyan</given-names>
</name>
<role content-type="http://credit.casrai.org/">Investigation</role>
<role content-type="http://credit.casrai.org/">Validation</role>
<xref ref-type="aff" rid="aff001"/>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Duan</surname>
<given-names>Xueqing</given-names>
</name>
<role content-type="http://credit.casrai.org/">Investigation</role>
<role content-type="http://credit.casrai.org/">Validation</role>
<xref ref-type="aff" rid="aff001"/>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>An</surname>
<given-names>Yanrong</given-names>
</name>
<role content-type="http://credit.casrai.org/">Investigation</role>
<role content-type="http://credit.casrai.org/">Validation</role>
<xref ref-type="aff" rid="aff001"/>
</contrib>
<contrib contrib-type="author" corresp="yes" xlink:type="simple">
<name name-style="western">
<surname>Lv</surname>
<given-names>Wei</given-names>
</name>
<role content-type="http://credit.casrai.org/">Formal analysis</role>
<role content-type="http://credit.casrai.org/">Investigation</role>
<role content-type="http://credit.casrai.org/">Resources</role>
<role content-type="http://credit.casrai.org/">Supervision</role>
<role content-type="http://credit.casrai.org/">Visualization</role>
<role content-type="http://credit.casrai.org/">Writing – review &amp; editing</role>
<xref ref-type="corresp" rid="cor001">*</xref>
<xref ref-type="aff" rid="aff001"/>
</contrib>
<contrib contrib-type="author" corresp="yes" xlink:type="simple">
<contrib-id authenticated="true" contrib-id-type="orcid">http://orcid.org/0000-0002-5169-0246</contrib-id>
<name name-style="western">
<surname>An</surname>
<given-names>Hailong</given-names>
</name>
<role content-type="http://credit.casrai.org/">Conceptualization</role>
<role content-type="http://credit.casrai.org/">Funding acquisition</role>
<role content-type="http://credit.casrai.org/">Project administration</role>
<role content-type="http://credit.casrai.org/">Resources</role>
<role content-type="http://credit.casrai.org/">Supervision</role>
<role content-type="http://credit.casrai.org/">Writing – original draft</role>
<role content-type="http://credit.casrai.org/">Writing – review &amp; editing</role>
<xref ref-type="corresp" rid="cor001">*</xref>
<xref ref-type="aff" rid="aff001"/>
</contrib>
</contrib-group>
<aff id="aff001"><addr-line>State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai’an, China</addr-line></aff>
<contrib-group>
<contrib contrib-type="editor" xlink:type="simple">
<name name-style="western">
<surname>Sun</surname>
<given-names>Meng-xiang</given-names>
</name>
<role>Editor</role>
<xref ref-type="aff" rid="edit1"/>
</contrib>
</contrib-group>
<aff id="edit1"><addr-line>Wuhan University, CHINA</addr-line></aff>
<author-notes>
<fn fn-type="conflict" id="coi001">
<p>The authors have declared that no competing interests exist.</p>
</fn>
<corresp id="cor001">* E-mail: <email xlink:type="simple">hlan@sdau.edu.cn</email> (HA); <email xlink:type="simple">lvwei_star@163.com</email> (WL)</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>28</day>
<month>9</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>12</volume>
<issue>9</issue>
<elocation-id>e0185418</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>1</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>9</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-year>2017</copyright-year>
<copyright-holder>Guo 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 <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>
<self-uri content-type="pdf" xlink:href="info:doi/10.1371/journal.pone.0185418"/>
<abstract>
<p><italic>GRAS</italic> transcriptional factors have diverse functions in plant growth and development, and are named after the first three transcription factors, namely, GAI (GIBBERELLIC ACID INSENSITIVE), RGA (REPRESSOR OF GAI) and SCR (SCARECROW) identified in this family. Knowledge of the <italic>GRAS</italic> gene family in maize remains was largely unknown, and their characterization is necessary to understand their importance in the maize life cycle. This study identified 86 <italic>GRAS</italic> genes in maize, and further characterized with phylogenetics, gene structural analysis, genomic loci, and expression patterns. The 86 <italic>GRAS</italic> genes were divided into 8 groups (SCL3, HAM, LS, SCR, DELLA, SHR, PAT1 and LISCL) by phylogenetic analysis. Most of the maize <italic>GRAS</italic> genes contain one exon (80.23%) and closely related members in the phylogenetic tree had similar structure and motif composition. Different motifs especially in the N-terminus might be the sources of their functional divergence. Segmental- and tandem-duplication occurred in this family leading to expansion of maize <italic>GRAS</italic> genes and the expression patterns of the duplicated genes in the heat map according to the published microarray data were very similar. Quantitative RT-PCR (qRT-PCR) results demonstrated that the expression level of genes in different tissues were different, suggesting their differential roles in plant growth and development. The data set expands our knowledge to understanding the function of <italic>GRAS</italic> genes in maize, an important crop plant in the world.</p>
</abstract>
<funding-group>
<award-group id="award001">
<funding-source>
<institution-wrap>
<institution-id institution-id-type="funder-id">http://dx.doi.org/10.13039/501100004573</institution-id>
<institution>Ministry of Agriculture of the People's Republic of China</institution>
</institution-wrap>
</funding-source>
<award-id>2016ZX08009002</award-id>
<principal-award-recipient>
<contrib-id authenticated="true" contrib-id-type="orcid">http://orcid.org/0000-0002-5169-0246</contrib-id>
<name name-style="western">
<surname>An</surname>
<given-names>Hailong</given-names>
</name>
</principal-award-recipient>
</award-group>
<award-group id="award002">
<funding-source>
<institution>The National Natural Science Foundation of China</institution>
</funding-source>
<award-id>31301080</award-id>
<principal-award-recipient>
<name name-style="western">
<surname>Li</surname>
<given-names>Xiang</given-names>
</name>
</principal-award-recipient>
</award-group>
<award-group id="award003">
<funding-source>
<institution>the foundation of the Ministry of Education Key Laboratory of Cell Activities and Stress Adaptations</institution>
</funding-source>
<award-id>lzujbky-2016-bt05</award-id>
<principal-award-recipient>
<contrib-id authenticated="true" contrib-id-type="orcid">http://orcid.org/0000-0002-5169-0246</contrib-id>
<name name-style="western">
<surname>An</surname>
<given-names>Hailong</given-names>
</name>
</principal-award-recipient>
</award-group>
<award-group id="award004">
<funding-source>
<institution>Funds of Shangdong "Double Tops" Program</institution>
</funding-source>
<principal-award-recipient>
<contrib-id authenticated="true" contrib-id-type="orcid">http://orcid.org/0000-0002-5169-0246</contrib-id>
<name name-style="western">
<surname>An</surname>
<given-names>Hailong</given-names>
</name>
</principal-award-recipient>
</award-group>
<funding-statement>This work was supported by the Ministry of Agriculture of China (grant number 2016ZX08009002), the foundation of the Ministry of Education Key Laboratory of Cell Activities and Stress Adaptations (grant number lzujbky-2016-bt05), the National Natural Science Foundation of China (grant number 31301080) and Funds of Shandong "Double Tops" Program.</funding-statement>
</funding-group>
<counts>
<fig-count count="5"/>
<table-count count="1"/>
<page-count count="17"/>
</counts>
<custom-meta-group>
<custom-meta id="data-availability">
<meta-name>Data Availability</meta-name>
<meta-value>All relevant data are within the paper and its Supporting Information files.</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="sec001" sec-type="intro">
<title>Introduction</title>
<p>The <italic>GRAS</italic> gene family is an important plant-specific transcription factor family whose name is an acronym of the first three identified members: GIBBERELLIC ACID INSENSITIVE (GAI), REPRESSOR OF GA1 (RGA), and SCARECROW (SCR) [<xref ref-type="bibr" rid="pone.0185418.ref001">1</xref>]. Typically, GRAS proteins are 400–700 amino acids and exhibit some C-terminal homology. A common characteristic of all GRAS proteins is the presence of 5 carboxy-terminal motifs in the order of: leucine heptad repeat Ⅰ(LHRI), VHIID motif, leucine heptad repeat Ⅱ(LHRⅡ), PFYRE motif, and SAW motif [<xref ref-type="bibr" rid="pone.0185418.ref002">2</xref>–<xref ref-type="bibr" rid="pone.0185418.ref003">3</xref>]. Leucine heptad repeats are frequently found in bZIP transcription factors, which are important for protein-protein interactions [<xref ref-type="bibr" rid="pone.0185418.ref004">4</xref>]. The VHIID and PFYRE motifs are consistently found and highly conserved in GRAS proteins. The SAW motif is less conserved, but has 3 conserved pairs of amino acids found with consistent spacing: R-E, W-G, and W-W. While the function of these motifs is unknown, their highly conserved nature suggests that they are critical to GRAS protein function [<xref ref-type="bibr" rid="pone.0185418.ref005">5</xref>]. These conserved motifs can directly affect the function of GRAS proteins; in fact, mutations in the SAW and PFYRE motifs of SLR1 and RGA proteins result in huge phenotypic variation in <italic>Arabidopsis</italic> [<xref ref-type="bibr" rid="pone.0185418.ref006">6</xref>–<xref ref-type="bibr" rid="pone.0185418.ref007">7</xref>]. The order of these conserved motifs is similar across most GRAS proteins. In contrast, the N-terminus is variable, except for DELLA subfamily that contains 2 conserved motifs (named DELLA and TVHYNP) and the variable length and sequence of N-terminus seems like the major contributor for their gene-specific functions [<xref ref-type="bibr" rid="pone.0185418.ref008">8</xref>, <xref ref-type="bibr" rid="pone.0185418.ref009">9</xref>, <xref ref-type="bibr" rid="pone.0185418.ref010">10</xref>]. The GRAS family is divided into 7 subfamilies at first, DELLA, SCARECROW (SCR), LATERAL SUPPRESSOR (LS), HAIRY MERISTEM (HAM), Phytochrome A signal transduction 1 (PAT1), SHORT-ROOT (SHR) and SCARECROW-LIKE9 (SCL9) [<xref ref-type="bibr" rid="pone.0185418.ref001">1</xref>, <xref ref-type="bibr" rid="pone.0185418.ref004">4</xref>]. Then the SCL9 was renamed as LISCL, and a new subfamily SCL3 was established and the <italic>GRAS</italic> gene family was divided into eight distinct branches, namely LISCL, PAT1, SCL3, DELLA, SCR, SHR, LS and HAM, based on studies on the model plants <italic>Arabidopsis</italic> and rice [<xref ref-type="bibr" rid="pone.0185418.ref007">7</xref>]. Later, the GRAS family was divided into ten subfamilies, DELLA, AtSCR, AtLAS, HAM, AtPAT1, AtSHR, AtSCL3 and LISCL, DLT, AtSCL4/7 [<xref ref-type="bibr" rid="pone.0185418.ref009">9</xref>]. In other studies, the <italic>GRAS</italic> genes can be divided into at least 13 branches [<xref ref-type="bibr" rid="pone.0185418.ref011">11</xref>] in <italic>Populus</italic>, <italic>Arabidopsis</italic> and rice, and 16 branches [<xref ref-type="bibr" rid="pone.0185418.ref012">12</xref>] in <italic>Medicago truncatula</italic>. So far, the <italic>GRAS</italic> gene family has been genome-wide explored in several plant species, including <italic>Populus</italic>, <italic>Arabidopsis</italic>, rice, Chinese cabbage, <italic>Prunus mume</italic>, tomato, sacred lotus, grapevine, <italic>Isatis indigotica</italic>, <italic>Medicago truncatula</italic>, Castor Beans, and pine [<xref ref-type="bibr" rid="pone.0185418.ref011">11</xref>, <xref ref-type="bibr" rid="pone.0185418.ref012">12</xref>, <xref ref-type="bibr" rid="pone.0185418.ref013">13</xref>, <xref ref-type="bibr" rid="pone.0185418.ref014">14</xref>, <xref ref-type="bibr" rid="pone.0185418.ref015">15</xref>, <xref ref-type="bibr" rid="pone.0185418.ref016">16</xref>, <xref ref-type="bibr" rid="pone.0185418.ref017">17</xref>, <xref ref-type="bibr" rid="pone.0185418.ref018">18</xref>, <xref ref-type="bibr" rid="pone.0185418.ref019">19</xref>, <xref ref-type="bibr" rid="pone.0185418.ref020">20</xref>].</p>
<p>The <italic>GRAS</italic> gene family plays a crucial role in diverse plant growth and development processes, including gibberellin signal transduction [<xref ref-type="bibr" rid="pone.0185418.ref021">21</xref>, <xref ref-type="bibr" rid="pone.0185418.ref022">22</xref>], phytochrome A signal transduction [<xref ref-type="bibr" rid="pone.0185418.ref023">23</xref>, <xref ref-type="bibr" rid="pone.0185418.ref024">24</xref>], axillary meristem initiation [<xref ref-type="bibr" rid="pone.0185418.ref025">25</xref>], shoot meristem maintenance [<xref ref-type="bibr" rid="pone.0185418.ref026">26</xref>], root radial patterning [<xref ref-type="bibr" rid="pone.0185418.ref027">27</xref>, <xref ref-type="bibr" rid="pone.0185418.ref028">28</xref>]. For example, PAT1 and SCL21 are mainly involved in phytochrome A (phyA) signal transduction pathways in <italic>Arabidopsis</italic> <italic>thaliana</italic>. Light signaling via the phyA photoreceptor controls basic plant developmental processes, such as de-etiolation and hypocotyl elongation [<xref ref-type="bibr" rid="pone.0185418.ref024">24</xref>]. SCARECROW-LIKE 13 (SCL13) mainly involves in phyB signal transduction pathways to control basic plant developmental processes like PAT1 and SCL21 in <italic>Arabidopsis</italic> <italic>thaliana</italic> [<xref ref-type="bibr" rid="pone.0185418.ref029">29</xref>]. SCARECROW-LIKE 3 (SCL3) is involved in signal transduction pathways through gibberellins (GAs) and acts as a positive regulator to integrate and maintain a functional GA pathway by attenuating the DELLA repressors in the root endodermis [<xref ref-type="bibr" rid="pone.0185418.ref030">30</xref>]. DELLA subfamily is a representative subfamily of GA signaling that has been analyzed in detail. Gain- or loss-of-function mutants of the DELLA genes in <italic>Arabidopsis</italic>, maize, wheat, rice (<italic>Oryza sativa</italic>) and barley show GA-insensitive dwarf or GA constitutive response phenotypes [<xref ref-type="bibr" rid="pone.0185418.ref021">21</xref>, <xref ref-type="bibr" rid="pone.0185418.ref031">31</xref>, <xref ref-type="bibr" rid="pone.0185418.ref032">32</xref>, <xref ref-type="bibr" rid="pone.0185418.ref033">33</xref>]. Studies of the <italic>Arabidopsis</italic> ga1-3 (RGA) and the rice SLENDER RICE 1 (SLR1) have demonstrated that these DELLA proteins function in the nucleus and are degraded rapidly when the plants are treated with GA [<xref ref-type="bibr" rid="pone.0185418.ref006">6</xref>, <xref ref-type="bibr" rid="pone.0185418.ref034">34</xref>]. The degradation of the DELLA proteins is thought to be an essential event in GA signal transduction. Mutations which lack the DELLA motif or the surrounding regions cannot be degraded by treated with GA, and show a GA-insensitive dwarf phenotype [<xref ref-type="bibr" rid="pone.0185418.ref006">6</xref>, <xref ref-type="bibr" rid="pone.0185418.ref035">35</xref>, <xref ref-type="bibr" rid="pone.0185418.ref036">36</xref>]. Previous studies showed that miR171 can regulate some <italic>GRAS</italic> genes. The miR171-targeted SCL transcription factors SCL6/SCL6-IV, SCLL22/SCL6-III, SCL27/SCL6-II (also known as hairy meristems [HAM] and lost meristems [LOM]) have been demonstrated to play an important role in the proliferation of meristematic cells, polar organization and chlorophyll synthesis [<xref ref-type="bibr" rid="pone.0185418.ref003">3</xref>, <xref ref-type="bibr" rid="pone.0185418.ref037">37</xref>–<xref ref-type="bibr" rid="pone.0185418.ref041">41</xref>]. DELLA-regulated <italic>POR</italic> expression is, at least in part, mediated by miR171-targeted SCLs in light [<xref ref-type="bibr" rid="pone.0185418.ref042">42</xref>]. <italic>MOC1</italic>, a member of LS subfamily, is a key gene for controlling rice tillers, which may improve the production of crops [<xref ref-type="bibr" rid="pone.0185418.ref043">43</xref>].</p>
<p>Compared with other families of transcription factors, very few researches have explored the whole genome of the GRAS families. The identification of <italic>GRAS</italic> members in different species was slightly different among studies. There were 32 to 34 genes identified from <italic>Arabidopsis</italic> [<xref ref-type="bibr" rid="pone.0185418.ref010">10</xref>, <xref ref-type="bibr" rid="pone.0185418.ref011">11</xref>, <xref ref-type="bibr" rid="pone.0185418.ref044">44</xref>], 57 and 60 <italic>GRAS</italic> genes were identified in rice in two reports [<xref ref-type="bibr" rid="pone.0185418.ref010">10</xref>, <xref ref-type="bibr" rid="pone.0185418.ref011">11</xref>]. In addition, 68 <italic>GRAS</italic> transcription factors were identified in <italic>Medicago truncatula</italic> [<xref ref-type="bibr" rid="pone.0185418.ref012">12</xref>]. As more species have their genome sequenced available, more GRAS proteins could be identified among them. Furthermore, the genome-wide comparisons of <italic>GRAS</italic> family members may also be performed among several important species for evolutionary analysis.</p>
<p>Maize is one of the most crops in the world and it has tremendous value for providing food, forage, pharmaceuticals, and other industrial products. To improve root growth, plant height and seed size, it is necessary to explore the GRAS family in maize. With the availability of maize genome sequences [<xref ref-type="bibr" rid="pone.0185418.ref045">45</xref>], it is possible for us to identify all the <italic>GRAS</italic> family genes in maize and find the right gene which is very necessary for production or growth.</p>
<p>In this study, we conducted a genome-wide analysis for all the members of GRAS family in maize. The <italic>GRAS</italic> genes were identified with database on the website, conducted phylogenetic relationships and analyzed their protein structures and gene structures. We discerned their locations on the chromosomes and their expression patterns as well. Then, qRT-PCR was performed to confirm the expression patterns getting from the database. The data presented here is necessary to explore systematically the gene function of the maize <italic>GRAS</italic> family genes.</p>
</sec>
<sec id="sec002" sec-type="conclusions">
<title>Results and discussion</title>
<sec id="sec003">
<title>Genome-wide identification of <italic>GRAS</italic> family members in maize</title>
<p>It is possible to identify all <italic>GRAS</italic> gene family members in maize because the maize genome has been sequenced [<xref ref-type="bibr" rid="pone.0185418.ref045">45</xref>]. Here we identified 86 <italic>GRAS</italic> transcription factors (ZmGRAS1-ZmGRAS86) from the maize genome and the gene location, the number of amino acids, molecular weight, theoretical pI, were analyzed and summarized in <xref ref-type="table" rid="pone.0185418.t001">Table 1</xref>. The length of amino acid sequences encoded by ZmGRAS varied from 111 amino acids (aa) to 734 aa, and molecular weight ranged from 12308.9 to 72083.7 kDa and the pI varied from 4.4973 to 7.7965. The average value of pI was 6.44532, suggesting that the maize GRAS proteins tended to acidic. In addition, alternative splicing was found in 18 <italic>ZmGRAS</italic> genes, with 2 to 4 alternative splice forms (<xref ref-type="supplementary-material" rid="pone.0185418.s001">S1 Table</xref>).</p>
<table-wrap id="pone.0185418.t001" position="float">
<object-id pub-id-type="doi">10.1371/journal.pone.0185418.t001</object-id>
<label>Table 1</label> <caption><title>Characteristics of <italic>GRAS</italic> genes in maize.</title></caption>
<alternatives>
<graphic id="pone.0185418.t001g" mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pone.0185418.t001" xlink:type="simple"/>
<table>
<colgroup>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
</colgroup>
<thead>
<tr>
<th align="justify">Gene name</th>
<th align="justify">Gene locus</th>
<th align="justify">Chromosome location</th>
<th align="justify">Length (aa)</th>
<th align="justify">Molecular weight (kDa)</th>
<th align="justify">PI</th>
<th align="justify">Subgroup</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">ZmGRAS1</td>
<td align="left">AC198366.3</td>
<td align="left">chr10: 1,890,881–1,892,401</td>
<td align="left">506</td>
<td align="left">55337.9</td>
<td align="left">7.3345</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS2</td>
<td align="left">AC200124.3</td>
<td align="left">chr6: 62,906,676–62,907,011</td>
<td align="left">111</td>
<td align="left">12308.9</td>
<td align="left">4.6744</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS3</td>
<td align="left">AC204621.4</td>
<td align="left">chr4: 1,274,853–1,275,830</td>
<td align="left">294</td>
<td align="left">31370.6</td>
<td align="left">9.6636</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS4</td>
<td align="left">AC234164.1</td>
<td align="left">chr9: 24,984,785–24,987,244</td>
<td align="left">630</td>
<td align="left">66847</td>
<td align="left">6.9353</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS5</td>
<td align="left">GRMZM2G001426</td>
<td align="left">chr3: 69,955,114–69,957,195</td>
<td align="left">475</td>
<td align="left">50563</td>
<td align="left">5.7858</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS6</td>
<td align="left">GRMZM2G011947</td>
<td align="left">chr6:55,555,919–55,556,867</td>
<td align="left">304</td>
<td align="left">32193.3</td>
<td align="left">6.1322</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS7</td>
<td align="left">GRMZM2G013016</td>
<td align="left">chr3: 166,194,240–166,195,917</td>
<td align="left">538</td>
<td align="left">57765.5</td>
<td align="left">6.5057</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS8</td>
<td align="left">GRMZM2G015080</td>
<td align="left">chr2: 150,778,730–150,782,551</td>
<td align="left">678</td>
<td align="left">72083.7</td>
<td align="left">6.6531</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS9</td>
<td align="left">GRMZM2G018254</td>
<td align="left">chr4: 513,060–515,231</td>
<td align="left">648</td>
<td align="left">71808</td>
<td align="left">6.0844</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS10</td>
<td align="left">GRMZM2G019060</td>
<td align="left">chr2: 209,040,871–209,042,963</td>
<td align="left">586</td>
<td align="left">63755.6</td>
<td align="left">5.498</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS11</td>
<td align="left">GRMZM2G023872</td>
<td align="left">chr8: 72,494,685–72,496,501</td>
<td align="left">508</td>
<td align="left">56088.1</td>
<td align="left">6.3404</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS12</td>
<td align="left">GRMZM2G024973</td>
<td align="left">chr5: 11,793,473–11,795,945</td>
<td align="left">625</td>
<td align="left">65742.6</td>
<td align="left">5.0091</td>
<td align="left">D9</td>
</tr>
<tr>
<td align="left">ZmGRAS13</td>
<td align="left">GRMZM2G028039</td>
<td align="left">chr9: 149,430,555–149,437,059</td>
<td align="left">545</td>
<td align="left">60793.6</td>
<td align="left">6.2568</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS14</td>
<td align="left">GRMZM2G028438</td>
<td align="left">chr4: 156,049,665–156,051,935</td>
<td align="left">607</td>
<td align="left">63032.1</td>
<td align="left">8.5031</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS15</td>
<td align="left">GRMZM2G028608</td>
<td align="left">chr2: 46,590,168–46,592,051</td>
<td align="left">607</td>
<td align="left">66678.5</td>
<td align="left">6.4672</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS16</td>
<td align="left">GRMZM2G037286</td>
<td align="left">chr6: 155,175,171–155,176,649</td>
<td align="left">489</td>
<td align="left">51240.9</td>
<td align="left">6.1941</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS17</td>
<td align="left">GRMZM2G037792</td>
<td align="left">chr10: 138,720,419–138,723,128</td>
<td align="left">718</td>
<td align="left">75350.4</td>
<td align="left">6.094</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS18</td>
<td align="left">GRMZM2G049159</td>
<td align="left">chr1: 40,143,545–40,147,542</td>
<td align="left">734</td>
<td align="left">82633.5</td>
<td align="left">6.5233</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS19</td>
<td align="left">GRMZM2G051785</td>
<td align="left">chr9: 27,346,189–27,348,215</td>
<td align="left">507</td>
<td align="left">53502</td>
<td align="left">5.9579</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS20</td>
<td align="left">GRMZM2G055263</td>
<td align="left">chr1: 37,809,278–37,810,975</td>
<td align="left">564</td>
<td align="left">59835.2</td>
<td align="left">4.9556</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS21</td>
<td align="left">GRMZM2G060265</td>
<td align="left">chr1: 1,953,455–1,955,531</td>
<td align="left">481</td>
<td align="left">51254.8</td>
<td align="left">6.5752</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS22</td>
<td align="left">GRMZM2G070371</td>
<td align="left">chr2: 231,610,740–231,612,552</td>
<td align="left">599</td>
<td align="left">67026.7</td>
<td align="left">6.5602</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS23</td>
<td align="left">GRMZM2G073779</td>
<td align="left">chr4: 836,061–838,338</td>
<td align="left">686</td>
<td align="left">76470.4</td>
<td align="left">4.8064</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS24</td>
<td align="left">GRMZM2G073805</td>
<td align="left">chr4: 832,522–834,779</td>
<td align="left">666</td>
<td align="left">73486.5</td>
<td align="left">5.5435</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS25</td>
<td align="left">GRMZM2G073823</td>
<td align="left">chr4: 829,955–831,938</td>
<td align="left">642</td>
<td align="left">71250.6</td>
<td align="left">7.1461</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS26</td>
<td align="left">GRMZM2G079470</td>
<td align="left">chr1: 88,488,422–88,491,040</td>
<td align="left">645</td>
<td align="left">67236.9</td>
<td align="left">6.4735</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS27</td>
<td align="left">GRMZM2G082387</td>
<td align="left">chr3: 150,869,807–150,871,966</td>
<td align="left">447</td>
<td align="left">48471</td>
<td align="left">6.8274</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS28</td>
<td align="left">GRMZM2G089636</td>
<td align="left">chr6: 38,422,200–38,424,095</td>
<td align="left">626</td>
<td align="left">71576.2</td>
<td align="left">6.0342</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS29</td>
<td align="left">GRMZM2G089662</td>
<td align="left">chr6: 38,410,832–38,413,066</td>
<td align="left">726</td>
<td align="left">82524.8</td>
<td align="left">7.9209</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS30</td>
<td align="left">GRMZM2G089782</td>
<td align="left">chr3: 124,035,075–124,037,072</td>
<td align="left">345</td>
<td align="left">37232.6</td>
<td align="left">7.7965</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS31</td>
<td align="left">GRMZM2G091656</td>
<td align="left">chr4: 213,905,717–213,907,179</td>
<td align="left">473</td>
<td align="left">51700.4</td>
<td align="left">4.4973</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS32</td>
<td align="left">GRMZM2G097456</td>
<td align="left">chr7: 162,247,332–162,249,303</td>
<td align="left">456</td>
<td align="left">49478.5</td>
<td align="left">5.398</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS33</td>
<td align="left">GRMZM2G098517</td>
<td align="left">chr7: 161,325,637–161,329,188</td>
<td align="left">558</td>
<td align="left">60991.6</td>
<td align="left">6.037</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS34</td>
<td align="left">GRMZM2G098784</td>
<td align="left">chr9: 140,092,351–140,096,097</td>
<td align="left">734</td>
<td align="left">82407.3</td>
<td align="left">6.3035</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS35</td>
<td align="left">GRMZM2G098800</td>
<td align="left">chr4: 153,223,584–153,226,721</td>
<td align="left">479</td>
<td align="left">51399.2</td>
<td align="left">8.136</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS36</td>
<td align="left">GRMZM2G104342</td>
<td align="left">chr5: 9,827,131–9,829,504</td>
<td align="left">569</td>
<td align="left">61233.7</td>
<td align="left">4.8845</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS37</td>
<td align="left">GRMZM2G106336</td>
<td align="left">chr4: 2,654,200–2,655,918</td>
<td align="left">569</td>
<td align="left">64161.6</td>
<td align="left">5.6074</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS38</td>
<td align="left">GRMZM2G106356</td>
<td align="left">chr4: 2,656,855–2,659,044</td>
<td align="left">629</td>
<td align="left">71509.2</td>
<td align="left">6.1865</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS39</td>
<td align="left">GRMZM2G106548</td>
<td align="left">chr7: 158,406,894–158,408,665</td>
<td align="left">452</td>
<td align="left">48411.2</td>
<td align="left">6.4457</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS40</td>
<td align="left">GRMZM2G109869</td>
<td align="left">chr2: 15,351,727–15,354,059</td>
<td align="left">623</td>
<td align="left">65571</td>
<td align="left">6.5741</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS41</td>
<td align="left">GRMZM2G110067</td>
<td align="left">chr1: 71,030,279–71,032,027</td>
<td align="left">526</td>
<td align="left">54677.3</td>
<td align="left">7.1968</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS42</td>
<td align="left">GRMZM2G110579</td>
<td align="left">chr5: 192,899,281–192,902,025</td>
<td align="left">595</td>
<td align="left">62880.7</td>
<td align="left">5.9948</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS43</td>
<td align="left">GRMZM2G114680</td>
<td align="left">chr9: 103,353,117–103,362,197</td>
<td align="left">467</td>
<td align="left">49942.9</td>
<td align="left">9.5395</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS44</td>
<td align="left">GRMZM2G116638</td>
<td align="left">chr1: 137,434,183–137,440,188</td>
<td align="left">542</td>
<td align="left">59914.4</td>
<td align="left">6.1403</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS45</td>
<td align="left">GRMZM2G117949</td>
<td align="left">chr9:117,530,782–117,531,764</td>
<td align="left">118</td>
<td align="left">12754.8</td>
<td align="left">7.2349</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS46</td>
<td align="left">GRMZM2G125501</td>
<td align="left">chr2: 209,545,748–209,547,741</td>
<td align="left">456</td>
<td align="left">49134.1</td>
<td align="left">5.2625</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS47</td>
<td align="left">GRMZM2G129154</td>
<td align="left">chr8: 158,560,400–158,562,023</td>
<td align="left">449</td>
<td align="left">48889.6</td>
<td align="left">6.7131</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS48</td>
<td align="left">GRMZM2G131516</td>
<td align="left">chr4: 185,481,408–185,484,703</td>
<td align="left">140</td>
<td align="left">15229.2</td>
<td align="left">5.6514</td>
<td align="left">SCR</td>
</tr>
<tr>
<td align="left">ZmGRAS49</td>
<td align="left">GRMZM2G132794</td>
<td align="left">chr1: 77,494,290–77,496,510</td>
<td align="left">630</td>
<td align="left">67547.3</td>
<td align="left">6.6294</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS50</td>
<td align="left">GRMZM2G133169</td>
<td align="left">chr1: 270,571,160–270,573,052</td>
<td align="left">551</td>
<td align="left">59842.1</td>
<td align="left">5.0325</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS51</td>
<td align="left">GRMZM2G140085</td>
<td align="left">chr4: 187,217,605–187,218,942</td>
<td align="left">369</td>
<td align="left">39334.6</td>
<td align="left">7.342</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS52</td>
<td align="left">GRMZM2G140094</td>
<td align="left">chr4: 187,219,736–187,222,248</td>
<td align="left">487</td>
<td align="left">51456.3</td>
<td align="left">6.6281</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS53</td>
<td align="left">GRMZM2G143433</td>
<td align="left">chr5: 120,520,869–120,522,119</td>
<td align="left">416</td>
<td align="left">43484.9</td>
<td align="left">5.5444</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS54</td>
<td align="left">GRMZM2G144744</td>
<td align="left">chr1: 266,160,101–266,163,168</td>
<td align="left">630</td>
<td align="left">66028.9</td>
<td align="left">4.7928</td>
<td align="left">D8</td>
</tr>
<tr>
<td align="left">ZmGRAS55</td>
<td align="left">GRMZM2G146018</td>
<td align="left">chr3: 142,759,880–142,761,574</td>
<td align="left">492</td>
<td align="left">52614.5</td>
<td align="left">4.9922</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS56</td>
<td align="left">GRMZM2G153333</td>
<td align="left">chr6: 148,102,723–148,106,458</td>
<td align="left">561</td>
<td align="left">62826.6</td>
<td align="left">4.6747</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS57</td>
<td align="left">GRMZM2G157679</td>
<td align="left">chr3: 180,798,590–180,801,759</td>
<td align="left">809</td>
<td align="left">89139.9</td>
<td align="left">6.4786</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS58</td>
<td align="left">GRMZM2G159475</td>
<td align="left">chr3: 125,733,039–125,735,799</td>
<td align="left">710</td>
<td align="left">78391.5</td>
<td align="left">5.1754</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS59</td>
<td align="left">GRMZM2G163427</td>
<td align="left">chr4: 842,617–845,669</td>
<td align="left">765</td>
<td align="left">84654.3</td>
<td align="left">5.1643</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS60</td>
<td align="left">GRMZM2G169636</td>
<td align="left">chr7: 165,196,140–165,197,777</td>
<td align="left">545</td>
<td align="left">57959.5</td>
<td align="left">7.0312</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS61</td>
<td align="left">GRMZM2G172657</td>
<td align="left">chr7: 161,941,687–161,944,142</td>
<td align="left">592</td>
<td align="left">63904.6</td>
<td align="left">5.9479</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS62</td>
<td align="left">GRMZM2G173429</td>
<td align="left">chr10: 135,825,173–135,827,459</td>
<td align="left">623</td>
<td align="left">65303.7</td>
<td align="left">6.7864</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS63</td>
<td align="left">GRMZM2G176537</td>
<td align="left">chr10: 117,338,432–117,340,217</td>
<td align="left">494</td>
<td align="left">52101.9</td>
<td align="left">5.5598</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS64</td>
<td align="left">GRMZM2G179325</td>
<td align="left">chr1: 155,690,714–155,694,188</td>
<td align="left">721</td>
<td align="left">79879</td>
<td align="left">4.8103</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS65</td>
<td align="left">GRMZM2G313078</td>
<td align="left">chr6: 156,946,311–156,947,989</td>
<td align="left">426</td>
<td align="left">45514.7</td>
<td align="left">6.5092</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS66</td>
<td align="left">GRMZM2G317287</td>
<td align="left">chr10: 1,886,674–1,888,997</td>
<td align="left">606</td>
<td align="left">66692.2</td>
<td align="left">8.0803</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS67</td>
<td align="left">GRMZM2G335814</td>
<td align="left">chr1: 248,734,599–248,737,101</td>
<td align="left">732</td>
<td align="left">82795.3</td>
<td align="left">6.547</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS68</td>
<td align="left">GRMZM2G342217</td>
<td align="left">chr4: 21,604,764–21,607,924</td>
<td align="left">771</td>
<td align="left">82103.3</td>
<td align="left">6.6613</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS69</td>
<td align="left">GRMZM2G346706</td>
<td align="left">chr8: 133,612,993–133,614,885</td>
<td align="left">627</td>
<td align="left">70612.1</td>
<td align="left">7.267</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS70</td>
<td align="left">GRMZM2G348780</td>
<td align="left">chr1: 161,047,325–161,049,647</td>
<td align="left">338</td>
<td align="left">38237.4</td>
<td align="left">9.306</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS71</td>
<td align="left">GRMZM2G359304</td>
<td align="left">chr9: 123,178,843–123,180,450</td>
<td align="left">535</td>
<td align="left">55755.5</td>
<td align="left">6.4503</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS72</td>
<td align="left">GRMZM2G368909</td>
<td align="left">chr1: 293,715,271–293,717,691</td>
<td align="left">645</td>
<td align="left">72646.3</td>
<td align="left">6.9815</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS73</td>
<td align="left">GRMZM2G386362</td>
<td align="left">chr2:4,624,290–4,626,096</td>
<td align="left">354</td>
<td align="left">36607.9</td>
<td align="left">6.2392</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS74</td>
<td align="left">GRMZM2G408012</td>
<td align="left">chr5: 181,911,451–181,912,595</td>
<td align="left">251</td>
<td align="left">28281.4</td>
<td align="left">10.717</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS75</td>
<td align="left">GRMZM2G418899</td>
<td align="left">chr7: 162,852,139–162,862,787</td>
<td align="left">431</td>
<td align="left">47773.6</td>
<td align="left">5.7168</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS76</td>
<td align="left">GRMZM2G420280</td>
<td align="left">chr2: 51,272,702–51,274,207</td>
<td align="left">498</td>
<td align="left">53733.3</td>
<td align="left">8.6598</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS77</td>
<td align="left">GRMZM2G425366</td>
<td align="left">chr2: 219,524,850–219,526,665</td>
<td align="left">541</td>
<td align="left">60489.3</td>
<td align="left">5.2866</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS78</td>
<td align="left">GRMZM2G431309</td>
<td align="left">chr2: 208,500,828–208,504,903</td>
<td align="left">554</td>
<td align="left">60835.6</td>
<td align="left">6.23</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS79</td>
<td align="left">GRMZM5G821439</td>
<td align="left">chr2: 204,949,825–204,954,417</td>
<td align="left">570</td>
<td align="left">64511.1</td>
<td align="left">6.3587</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS80</td>
<td align="left">GRMZM5G825321</td>
<td align="left">chr2: 19,769,962–19,772,850</td>
<td align="left">485</td>
<td align="left">52611.8</td>
<td align="left">7.2682</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS81</td>
<td align="left">GRMZM5G826526</td>
<td align="left">chr3: 214,641,511–214,642,665</td>
<td align="left">384</td>
<td align="left">40366.2</td>
<td align="left">7.5029</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS82</td>
<td align="left">GRMZM5G868355</td>
<td align="left">chr4: 839,965–841,260</td>
<td align="left">381</td>
<td align="left">42723.6</td>
<td align="left">6.5888</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS83</td>
<td align="left">GRMZM5G874545</td>
<td align="left">chr3: 232,137,122–232,158,937</td>
<td align="left">342</td>
<td align="left">37832.3</td>
<td align="left">6.5808</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS84</td>
<td align="left">GRMZM5G885274</td>
<td align="left">chr5: 205,139,992–205,141,687</td>
<td align="left">545</td>
<td align="left">60793.6</td>
<td align="left">6.2568</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS85</td>
<td align="left">GRMZM5G889326</td>
<td align="left">chr6: 137,480,065–137,481,525</td>
<td align="left">486</td>
<td align="left">52641.4</td>
<td align="left">7.2535</td>
<td align="left"/>
</tr>
<tr>
<td align="left">ZmGRAS86</td>
<td align="left">GRMZM5G895672</td>
<td align="left">chr4: 827,079–829,016</td>
<td align="left">645</td>
<td align="left">72101.2</td>
<td align="left">6.8419</td>
<td align="left"/>
</tr>
</tbody>
</table>
</alternatives>
</table-wrap>
<p>However, inconsistent with our results, there were 104 and 112 GRAS genes of maize in the PlantTFDB website (<ext-link ext-link-type="uri" xlink:href="http://planttfdb.cbi.pku.edu.cn/family.php?sp=Zma&amp;fam=GRAS" xlink:type="simple">http://planttfdb.cbi.pku.edu.cn/family.php?sp=Zma&amp;fam=GRAS</ext-link>) and PlnTFDB website (<ext-link ext-link-type="uri" xlink:href="http://plntfdb.bio.uni-potsdam.de/v3.0/fam_mem.php?family_id=GRAS&amp;sp_id=ZMA" xlink:type="simple">http://plntfdb.bio.uni-potsdam.de/v3.0/fam_mem.php?family_id=GRAS&amp;sp_id=ZMA</ext-link>), respectively (<xref ref-type="supplementary-material" rid="pone.0185418.s002">S2 Table</xref>). The number of the GRAS genes in the two websites was greater than our results. After analysis carefully, we found that the 104 GRAS genes of maize in the PlantTFDB website were very different from the 112 GRAS genes in the PlnTFDB website. Genes written in the red words were the different genes between the two websites in <xref ref-type="supplementary-material" rid="pone.0185418.s002">S2 Table</xref>. The 104 GRAS genes in the PlantTFDB website included alternative splicing genes. If the “genes” containing splice variants were considered one gene, there remained only 86 GRAS genes which was consistent with our result above. For example, the gene “GRMZM2G015080”in the PlantTFDB website existed two transcripts which were considered to be two genes, but only one gene, actually. In addition to alternative splicing, most of the GRAS genes in the PlnTFDB website could not be found in the MaizeGDB website (<ext-link ext-link-type="uri" xlink:href="http://www.maizegdb.org/gene_center/gene" xlink:type="simple">http://www.maizegdb.org/gene_center/gene</ext-link>) probably owning to the low version. We downloaded the GRAS protein sequences of <italic>Arabidopsis thaliana</italic>, <italic>Medicago truncatula</italic>, <italic>Oryza sativa and Sorghum bicolor</italic> from the PlantTFDB website.</p>
<p>Very few reports have been published on <italic>Zea mays</italic> GRAS proteins, to our knowledge, three of these genes were previously described, such as, D9 (<italic>ZmGRAS</italic>12) [<xref ref-type="bibr" rid="pone.0185418.ref045">45</xref>, <xref ref-type="bibr" rid="pone.0185418.ref046">46</xref>], D8 [<italic>ZmGRAS54</italic>) [<xref ref-type="bibr" rid="pone.0185418.ref045">45</xref>, <xref ref-type="bibr" rid="pone.0185418.ref047">47</xref>, <xref ref-type="bibr" rid="pone.0185418.ref048">48</xref>] and SCR (<italic>ZmGRAS48</italic>) [<xref ref-type="bibr" rid="pone.0185418.ref049">49</xref>, <xref ref-type="bibr" rid="pone.0185418.ref050">50</xref>](<xref ref-type="table" rid="pone.0185418.t001">Table 1</xref>). The relatively high number of <italic>GRAS</italic> genes in maize may be due to the maize genome experiencing tandem and large-scale segmental duplications [<xref ref-type="bibr" rid="pone.0185418.ref051">51</xref>].</p>
</sec>
<sec id="sec004">
<title>Phylogenetic analysis of <italic>GRAS</italic> genes</title>
<p>To study evolutionary relationships between <italic>GRAS</italic> transcription factors, the sequences of <italic>Arabidopsis</italic>, <italic>Medicago truncatula</italic>, <italic>Oryza sativa</italic> and <italic>Sorghum bicolor</italic> were downloaded for alignment and were used to conduct phylogenetic tree by PHYLIP (Version 3.695) using Neighbor-Joining method [<xref ref-type="bibr" rid="pone.0185418.ref052">52</xref>, <xref ref-type="bibr" rid="pone.0185418.ref053">53</xref>]. The 86 maize GRAS proteins comprise 8 subfamilies (SCL3, HAM, LS, SCR, DELLA, SHR, PAT1 and LISCL) by clade support values, tree topology and <italic>Arabidopsis</italic> classification (<xref ref-type="fig" rid="pone.0185418.g001">Fig 1</xref>) [<xref ref-type="bibr" rid="pone.0185418.ref007">7</xref>]. Each of the SCR and LS subfamily contained only four maize <italic>GRAS</italic> genes and was the relatively small subfamily of the whole subfamilies. The number of maize <italic>GRAS</italic> genes in SHR, PAT1, DELLA, HAM, SCL3 was very similar about ten, while the LISCL subfamily was very different from the above subfamilies that contained the largest number of maize <italic>GRAS</italic> genes and this branch was also the largest branch in <xref ref-type="fig" rid="pone.0185418.g001">Fig 1</xref>, contained 106 members from <italic>Zea mays</italic>, <italic>Arabidopsis</italic> thaliana, Oryza sativa, <italic>Sorghum bicolor</italic> and <italic>Medicago truncatula</italic>. In this family, <italic>GRAS</italic> genes of eudicot plants <italic>Arabidopsis</italic> and <italic>Medicago truncatula</italic> didn’t clustered together with others tightly.</p>
<fig id="pone.0185418.g001" position="float">
<object-id pub-id-type="doi">10.1371/journal.pone.0185418.g001</object-id>
<label>Fig 1</label>
<caption>
<title>Phylogenetic relationships of GRAS proteins from <italic>Zea mays</italic>, <italic>Arabidopsis thaliana</italic>, <italic>Oryza sativa</italic>, <italic>Sorghum bicolor</italic> and <italic>Medicago truncatula</italic>.</title>
<p>The proteins are clustered into 8 subgroups, signed in 8 different colors, representing subfamilies of SCR (blue), SCL3 (red), LISCL (green), PAT1 (purple), SHR (light blue), DELLA (orange), HAM (light purple), LS (pink). Gene ID of <italic>GRAS</italic> gene family members from <italic>Arabidopsis thaliana</italic>, <italic>Oryza sativa</italic>, <italic>Sorghum bicolor</italic> and <italic>Medicago truncatula</italic> were listed in the supporting information (<xref ref-type="supplementary-material" rid="pone.0185418.s003">S3 Table</xref>).</p>
</caption>
<graphic mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pone.0185418.g001" xlink:type="simple"/>
</fig>
</sec>
<sec id="sec005">
<title>ZmGRAS protein sequence alignments and conserved motifs</title>
<p>In <italic>Arabidopsis</italic>, GRAS proteins have 5 conserved domains in the C terminus, named as LHR I, VHIID, LHR II, PFYRE and SAW [<xref ref-type="bibr" rid="pone.0185418.ref002">2</xref>–<xref ref-type="bibr" rid="pone.0185418.ref003">3</xref>]. To identify conserved domains, we performed an alignment within ZmGRAS protein sequences using Clustal X, (Version 2.0) [<xref ref-type="bibr" rid="pone.0185418.ref054">54</xref>]. Multiple sequence alignments of the 86 predicted ZmGRAS proteins led to the discovery of five conserved C-terminal GRAS domains mentioned above, which were similar to <italic>Arabidopsis</italic> GRAS proteins (<xref ref-type="supplementary-material" rid="pone.0185418.s007">S1 Fig</xref>). The conserved motifs for each GRAS protein were also identified using MEME (<ext-link ext-link-type="uri" xlink:href="http://meme.sdsc.edu/meme/intron.html" xlink:type="simple">http://meme.sdsc.edu/meme/intron.html</ext-link>) (<xref ref-type="fig" rid="pone.0185418.g002">Fig 2B</xref>; <xref ref-type="supplementary-material" rid="pone.0185418.s004">S4 Table</xref>). A total of 20 conserved motifs were identified (named Motif1-20) and detailed information for each motif was listed in <xref ref-type="supplementary-material" rid="pone.0185418.s004">S4 Table</xref>. Motifs (Motif1, 2, 3, 4, 5, 6, 9 and 11) were widely distributed in most maize C-terminus of GRAS proteins, while the N-terminus contained various motifs, such as motif15, 16, 17, which was consistent with the previous conclusions that C-terminal region of the GRAS proteins was more conserved than the N-terminal region [<xref ref-type="bibr" rid="pone.0185418.ref002">2</xref>]. Although the motifs of the N-terminal regions of the GRAS genes were variable, it increased functional diversity and the complexity of biological networks of the GRAS genes [<xref ref-type="bibr" rid="pone.0185418.ref009">9</xref>, <xref ref-type="bibr" rid="pone.0185418.ref010">10</xref>]. Genes among different subfamilies had divergent motifs in the N-terminal regions, but most of the GRAS proteins in the same subfamily had similar motifs. For example, In LISCL subfamily, there are three specific motifs (motif15, motif16, and motif17) in its C-terminus (<xref ref-type="fig" rid="pone.0185418.g002">Fig 2B</xref>; <xref ref-type="supplementary-material" rid="pone.0185418.s008">S2 Fig</xref>). The results were consistent with previous study that the pattern of protein disorder could be more conserved through evolution than the amino acid sequence in the N-terminus [<xref ref-type="bibr" rid="pone.0185418.ref055">55</xref>].</p>
<fig id="pone.0185418.g002" position="float">
<object-id pub-id-type="doi">10.1371/journal.pone.0185418.g002</object-id>
<label>Fig 2</label>
<caption>
<title>Distribution of conserved motif of GRAS proteins in <italic>Zea mays</italic>.</title>
<p>(A) The phylogenetic tree was constructed by PHYLIP using NJ method. The genes marked by the red lines were duplicated gene pairs mentioned in the following paragraph. (B) The motif sizes are indicated at the bottom of the figure. Different motifs are indicated by different colors numbered from motif1-20, and the combined P-values are shown on the left side of the figure. The same color in different proteins refers to the same motif. The structural features of the 20 motifs were listed in <xref ref-type="supplementary-material" rid="pone.0185418.s004">S4 Table</xref>. (C) The structures of the 86 putative maize <italic>GRAS</italic> genes. The exons and introns are represented by red boxes and black lines.</p>
</caption>
<graphic mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pone.0185418.g002" xlink:type="simple"/>
</fig>
</sec>
<sec id="sec006">
<title>Structural organization of <italic>ZmGRAS</italic> genes and chromosomal localization</title>
<p>The overall pattern of intron positions can affect phylogenetic relationships when analyzing gene family evolution [<xref ref-type="bibr" rid="pone.0185418.ref056">56</xref>]. To evaluate the diversity of the <italic>GRAS</italic> genes, we analyzed the structure of each maize <italic>GRAS</italic> gene. The result showed that 69 (80.23%) <italic>ZmGRAS</italic> genes with non-intron and only 17 (19.77%) genes with 1–5 intron (<xref ref-type="fig" rid="pone.0185418.g002">Fig 2C</xref>). There were nine genes with one intron, five genes with two introns, two genes with three introns, and only one gene with five introns. In addition, most <italic>GRAS</italic> gene members of the same branch generally showed similar exon-intron structures.</p>
<p>To investigate the chromosomal distribution of the GRAS family in maize, the physical location information of the maize <italic>GRAS</italic> genes on chromosomes according to the phytozome database (<ext-link ext-link-type="uri" xlink:href="http://phytozome.jgi.doe.gov/" xlink:type="simple">http://phytozome.jgi.doe.gov/</ext-link>, v3) was used to draw the map. The 86 <italic>GRAS</italic> genes demonstrated a nonrandom distribution. More than one third of the <italic>GRAS</italic> transcription factors were found on two chromosomes: chromosome 4 (n = 17, 19.77%) and chromosome 1 (n = 13, 15.12%), and only 3 (3.49%) on chromosome 8. <italic>ZmGRAS</italic> genes were not found on the short arms of chromosome 6, 7 and 8, and only one <italic>GRAS</italic> gene (<italic>ZmGRAS5</italic>) was found on the short arm of chromosome 3. Eleven <italic>ZmGRAS</italic> genes were clustered at the end of the short arm of chromosome 4.</p>
<p>Duplication events are of interest in across many taxa, and maize originates from an ancient allotetraploid event and has undergone several rounds of polyploidy [<xref ref-type="bibr" rid="pone.0185418.ref045">45</xref>, <xref ref-type="bibr" rid="pone.0185418.ref057">57</xref>]. We identified eleven duplicated genes with highly amino acid sequence and structure similarities, and all of them contain only one exon. These duplicated genes belonged to six groups with six, six, four, two, two, two genes in SHR, PAT1, LISCL, DELLA, SCL3, LS subfamily, respectively, each of the duplicated genes contained two genes with very close genetic relationship (<xref ref-type="fig" rid="pone.0185418.g002">Fig 2</xref>; <xref ref-type="fig" rid="pone.0185418.g003">Fig 3</xref>). Five of these duplicated genes were distributed on chromosome 1 and none of them on chromosome 4, and 6. In addition, two pairs duplicated genes on chromosome 2 and 7 (<italic>ZmGRAS10/ZmGRAS61</italic>, <italic>ZmGRAS32/ZmGRAS46</italic>) belonging to the same SHR subfamily. These results suggested that segmental duplication has played a role in subfamily’s origin [<xref ref-type="bibr" rid="pone.0185418.ref040">40</xref>].</p>
<fig id="pone.0185418.g003" position="float">
<object-id pub-id-type="doi">10.1371/journal.pone.0185418.g003</object-id>
<label>Fig 3</label>
<caption>
<title>The chromosomal mapping analysis of the <italic>GRAS</italic> gene family in maize and gene duplication analysis.</title>
<p>The chromosome number is indicated at the top of each chromosome. Eleven pairs of paralogues are indicated by the red line.</p>
</caption>
<graphic mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pone.0185418.g003" xlink:type="simple"/>
</fig>
</sec>
<sec id="sec007">
<title>Expression of <italic>ZmGRAS</italic> genes in different tissues and developmental stages</title>
<p><italic>GRAS</italic> transcription factors have important roles in plant growth and development, such as cell maintenance and proliferation, axillary shoot meristem formation, root radial pattering, and male gametogenesis. Genes expressed high in particular tissues may play essential roles in the development of the tissues. The expression of <italic>GRAS</italic> genes in different tissues and different developmental stages were analyzed using published microarray data (Maize eFP Browser, <ext-link ext-link-type="uri" xlink:href="http://bar.utoronto.ca/efp_maize/cgi-bin/efpWeb.cgi" xlink:type="simple">http://bar.utoronto.ca/efp_maize/cgi-bin/efpWeb.cgi</ext-link>). The expression data included 13 different tissues, including germinating seed 24 H (seedling), coleoptile, radicle, stem and SAM (V1), first internode, immature tassel, meiotic tassel, anthers, primary root, pooled leaves, silks, base of stage 2 leaf (adult leaf), and embryo 24 DAP. The expression patterns of 75 genes were found in this database (<xref ref-type="fig" rid="pone.0185418.g004">Fig 4</xref>).</p>
<fig id="pone.0185418.g004" position="float">
<object-id pub-id-type="doi">10.1371/journal.pone.0185418.g004</object-id>
<label>Fig 4</label>
<caption>
<title>The expression of <italic>GRAS</italic> gene family members in different tissues of maize.</title>
<p>In the heat map, columns represent genes, while rows represent different tissues, including germinating seed 24 H (seedling), coleoptile, radicle, stem and SAM (V1), first internode, immature tassel, meiotic tassel, anthers, primary root, pooled leaves, silks, base of stage 2 leaf (adult leaf), and embryo 24 DAP. The color changes from green to red represent the relative low or high expression in leaves respectively. The red lines represent eleven duplicated genes pairs.</p>
</caption>
<graphic mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pone.0185418.g004" xlink:type="simple"/>
</fig>
<p>In <xref ref-type="fig" rid="pone.0185418.g004">Fig 4</xref>, partial genes in a branch with similar expression patterns in different tissues were laid in the same branch in <xref ref-type="fig" rid="pone.0185418.g002">Fig 2</xref>, for example, the nine pair duplicated genes (81.82%, <italic>ZmGRAS10/61</italic>, <italic>ZmGRAS12/54</italic>, <italic>ZmGRAS13/84</italic>, <italic>ZmGRAS18/34</italic>, <italic>ZmGRAS27/47</italic>, <italic>ZmGRAS36/50</italic>, <italic>ZmGRAS41/71</italic>, <italic>ZmGRAS46/32</italic>, <italic>ZmGRAS58/64</italic>) in which genes within the same branch had similar expression patterns (<xref ref-type="fig" rid="pone.0185418.g002">Fig 2</xref>; <xref ref-type="fig" rid="pone.0185418.g004">Fig 4</xref>), but the duplicated gene pair <italic>ZmGRAS40/62</italic> belonging to the PAT1 subfamily had different expression pattern (<xref ref-type="fig" rid="pone.0185418.g004">Fig 4</xref>). We analyzed the regulator elements of the 2000bp promoter region of the gene <italic>ZmGRAS40</italic> and <italic>ZmGRAS62</italic> using plantcare (<ext-link ext-link-type="uri" xlink:href="http://bioinformatics.psb.ugent.be/webtools/plantcare/html/" xlink:type="simple">http://bioinformatics.psb.ugent.be/webtools/plantcare/html/</ext-link>) and New PLACE (<ext-link ext-link-type="uri" xlink:href="https://sogo.dna.affrc.go.jp/cgi-bin/sogo.cgi?lang=en&amp;pj=640&amp;ac-tion=page&amp;page=newplace" xlink:type="simple">https://sogo.dna.affrc.go.jp/cgi-bin/sogo.cgi?lang=en&amp;pj=640&amp;ac-tion=page&amp;page=newplace</ext-link>) online websites and found that the regulator elements in front of the two promoters were not the same (<xref ref-type="supplementary-material" rid="pone.0185418.s005">S5 Table</xref>). For example, in the 2000bp promoter region of gene <italic>ZmGRAS62</italic> there were four “MYBPLANT motif” which couldn’t be found in the 2000bp promoter of gene ZmGRAS40, the “MYBPLANT motif” was distributed in four positions upstream of the start codon, respectively, “-387bp”, “-495bp”, “-1489bp”, “-1662bp”which was plant MYB binding site according to the New PLACE website. The AmMYB308 and AmMYB330 transcription factors from Antirrhinum regulated phenylpropanoid and lignin biosynthesis in tobacco [<xref ref-type="bibr" rid="pone.0185418.ref058">58</xref>]. The Lignin was one of the components of the cell wall and filled with the cellulose framework to enhance the mechanical strength of the plant, which is conducive to the organization of water transport, and affect the growth and development of organs including leaf and stem. Additionally, in the promoter of the gene <italic>ZmGRAS62</italic>, there existed GA-responsive elements (GARE2OSREP1 and GAREAT) which didn’t existed in the promoter of the gene <italic>ZmGRAS40</italic> according to the New PLACE website [<xref ref-type="bibr" rid="pone.0185418.ref059">59</xref>, <xref ref-type="bibr" rid="pone.0185418.ref060">60</xref>]. Gibberellins (GAs) were phytohormones that regulate various aspects of plant development, including germination dormancy, leaf morphogenesis and shoot and root growth, etc [<xref ref-type="bibr" rid="pone.0185418.ref061">61</xref>]. We speculated that different expression level between the gene <italic>ZmGRAS62</italic> and <italic>ZmGRAS40</italic> at the stage of first internode (V5), base of stage 2 leaf (V5) and pooled leave possibly owning to the above reason. But further experiments were needed to verify this hypothesis. Additionally, partial genes with similar expression patterns belonged to different branch. For example, ZmGRAS60 and ZmGRAS34 had similar expression patterns, but they were divided into SHR subfamily and LISCL subfamily, respectively.</p>
<p>Real-time quantitative RT-PCR (qPCR) was used to validate the microarray data. Eleven genes were selected to confirm expression patterns in primary root, pooled leaf, coleoptile, SAM, adult leaf, silk, seedling, meiotic tassel and immature tassel. As shown in <xref ref-type="fig" rid="pone.0185418.g005">Fig 5</xref>, 6 genes (except <italic>ZmGRAS69</italic>, <italic>ZmGRAS40</italic>, <italic>ZmGRAS19</italic>, <italic>ZmGRAS12 and ZmGRAS62</italic>) had similar expression patterns between the qPCR data and microarray data. For example, <italic>ZmGRAS67</italic> had higher expression in seedling, and <italic>ZmGRAS10</italic>, <italic>ZmGRAS61</italic> were mainly expressed in SAM. However, <italic>ZmGRAS69</italic> had high expression in seedlings in the qPCR, in contrast to the pooled leaf microarray data. These conflicting results may result from the different plant materials, different growth conditions, and different experimental conditions. These results suggest that some <italic>GRAS</italic> genes with different expression levels in different organs might play key roles in plant development. Several <italic>GRAS</italic> genes may also have unique functions during specific developmental stages.</p>
<fig id="pone.0185418.g005" position="float">
<object-id pub-id-type="doi">10.1371/journal.pone.0185418.g005</object-id>
<label>Fig 5</label>
<caption>
<title>Expression patterns in 11 <italic>GRAS</italic> genes by real-time quantitative RT-PCR analysis.</title>
<p>cDNAs from nine different tissues of eight developmental stages were used to detect the expression of eleven <italic>GRAS</italic> genes in which <italic>ZmGRAS40</italic>, <italic>ZmGRAS54</italic> and <italic>ZmGRAS62</italic> have multiple splice variants. The quantitative primers for <italic>ZmGRAS40</italic>, <italic>ZmGRAS62</italic> were used to test all of the variants, and the quantitative primers for the gene <italic>ZmGRAS54</italic> were used to test the main two transcripts (GRMZM2G144744-T01 and GRMZM2G144744-T02). The relative expression levels which were normalized to ACTIN were determined by the comparative CT method (2<sup>−ΔΔCT </sup>) [<xref ref-type="bibr" rid="pone.0185418.ref062">62</xref>] Three biological replicates were conducted for each experiment.</p>
</caption>
<graphic mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pone.0185418.g005" xlink:type="simple"/>
</fig>
</sec>
</sec>
<sec id="sec008" sec-type="conclusions">
<title>Conclusion</title>
<p>86 putative <italic>GRAS</italic> family genes were identified from maize via sequence comparison between maize, <italic>Arabidopsis</italic>, rice, <italic>Medicago truncatula</italic> and <italic>Sorghum bicolor</italic>. Only a few genes from this transcription factor family have been previously characterized in detail in maize. Thus, this work is the first comprehensive and systematic analysis of GRAS transcription factors in maize. The number of the maize <italic>GRAS</italic> family genes is larger than other plants, suggesting that they might encounter gene segmental-duplication and tandem-duplication during the evolution. Due to the fact that all of the maize GRAS genes expressed differentially, the genes possibly encountered sub-functionalization or neo-functionalization. So, it’s reasonable to explore each gene for its specific role in maize growth and development, to support the current work on maize molecular breeding.</p>
</sec>
<sec id="sec009" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="sec010">
<title>Database search for <italic>GRAS</italic> genes in maize</title>
<p>The whole protein sequences of <italic>Zea mays</italic> were downloaded from the MaizeGDB (<ext-link ext-link-type="uri" xlink:href="http://www.maizegdb.org/" xlink:type="simple">http://www.maizegdb.org/</ext-link>, v3). The protein sequences for 34 <italic>Arabidopsis GRAS</italic> genes were downloaded from plant TFDB (<ext-link ext-link-type="uri" xlink:href="http://planttfdb.cbi.pku.edu.cn/" xlink:type="simple">http://planttfdb.cbi.pku.edu.cn/</ext-link>). HMMER 3.0 software was obtained from the HMMER website (<ext-link ext-link-type="uri" xlink:href="http://hmmer.janelia.org/" xlink:type="simple">http://hmmer.janelia.org/</ext-link>) and was employed in searching for GRAS proteins in the entire protein dataset of <italic>Zea mays</italic> with a cut-off E-value of 1e<sup>-5</sup> using PF03514.11 which was the newest HMM model for the GRAS transcription factor family downloaded from the Pfam database (<ext-link ext-link-type="uri" xlink:href="http://pfam.xfam.org/" xlink:type="simple">http://pfam.xfam.org/</ext-link>) [<xref ref-type="bibr" rid="pone.0185418.ref063">63</xref>, <xref ref-type="bibr" rid="pone.0185418.ref064">64</xref>] as a query. Genes were classified according to the distance homology with <italic>Arabidopsis</italic> and rice genes [<xref ref-type="bibr" rid="pone.0185418.ref007">7</xref>].</p>
</sec>
<sec id="sec011">
<title>Phylogenetic analysis of maize GRAS proteins</title>
<p>All GRAS protein sequences of <italic>Arabidopsis</italic>, rice, <italic>Medicago truncatula</italic>, and <italic>Sorghum bicolor</italic> were downloaded from plant TFDB (<ext-link ext-link-type="uri" xlink:href="http://planttfdb.cbi.pku.edu.cn/" xlink:type="simple">http://planttfdb.cbi.pku.edu.cn/</ext-link>). Then, together with the 86 maize GRAS proteins, the multiple sequence alignment was performed using Clustal X, (Version 2.0) [<xref ref-type="bibr" rid="pone.0185418.ref054">54</xref>]. The aligned sequences were then subjected to phylogenetic analysis by Neighbor Joining (NJ) method using PHYLIP (Version 3.695) with 1000 bootstrap replicates [<xref ref-type="bibr" rid="pone.0185418.ref052">52</xref>, <xref ref-type="bibr" rid="pone.0185418.ref053">53</xref>].</p>
</sec>
<sec id="sec012">
<title>Chromosomal location of maize <italic>GRAS</italic> genes</title>
<p>All <italic>GRAS</italic> genes were mapped to maize chromosomes based on information available at the Phytozome website (<ext-link ext-link-type="uri" xlink:href="http://phytozome.jgi.doe.gov/" xlink:type="simple">http://phytozome.jgi.doe.gov/</ext-link>, v3). The map was drafted using photoshop CS3 based on chromosome size.</p>
</sec>
<sec id="sec013">
<title>Analysis and distribution of conserved motifs and exon-intron structures</title>
<p>The exon-intron organization of <italic>GRAS</italic> genes was determined by the online GSDS 2.0 tools (Gene Structure Display Server) [<xref ref-type="bibr" rid="pone.0185418.ref065">65</xref>] based on the CDS sequence and corresponding genomic sequences which were obtained from the website (<ext-link ext-link-type="uri" xlink:href="https://phytozome.jgi.doe.gov/pz/portal.html" xlink:type="simple">https://phytozome.jgi.doe.gov/pz/portal.html</ext-link>). Multiple EM for Motif Elicitation (MEME, <ext-link ext-link-type="uri" xlink:href="http://meme-suite.org/" xlink:type="simple">http://meme-suite.org/</ext-link>) [<xref ref-type="bibr" rid="pone.0185418.ref066">66</xref>] was used to search for possible conserved motifs in the complete amino acid sequences of maize GRAS proteins using the default settings.</p>
</sec>
<sec id="sec014">
<title>Gene duplication analysis of maize <italic>GRAS</italic> genes</title>
<p>Gene duplication events of <italic>GRAS</italic> genes in maize B73 were investigated. We defined the gene duplication using the following criteria: 1) the alignment of whole protein length covered &gt;80% of the longest gene, 2) the aligned region had an identity &gt;80% and 3) only one duplication event was counted for tightly linked genes. The duplicated gene pairs were connected by red lines using photoshop CS3.</p>
</sec>
<sec id="sec015">
<title>Expression patterns of <italic>GRAS</italic> family in maize</title>
<p>The data of expression patterns of <italic>GRAS</italic> family genes in maize was found in Maize eFP Browser (<ext-link ext-link-type="uri" xlink:href="http://bar.utoronto.ca/efp_maize/cgi-bin/efpWeb.cgi" xlink:type="simple">http://bar.utoronto.ca/efp_maize/cgi-bin/efpWeb.cgi</ext-link>). The expression patterns of different genes were searched by primary gene ID. The expression level of different tissues was put in a table, then analyzed using Cluster (v3.0) [<xref ref-type="bibr" rid="pone.0185418.ref067">67</xref>] and Java Treeview (v1.1.6).</p>
</sec>
<sec id="sec016">
<title>Plant materials and growth conditions</title>
<p>Maize seeds (<italic>Zea mays</italic> L. cvB73) were grown in soil under greenhouse conditions at 25°C/22°C (day/night) with a photoperiod of 16/8 h (day/night) for 2 weeks.</p>
</sec>
<sec id="sec017">
<title>RNA isolation and real-time quantitative RT-PCR expression analysis</title>
<p>Primary root and pooled leaf were sampled when the first leaf is fully extended (V1), coleoptile was sampled 6 days after sowing (6 DAS), SAM was sampled when the three leaves were fully extended(V3), adult leaf was sampled when the seven leaves were extended(V5), silk was sampled when the silks emerge from the husk(R1), seedling was sampled from 24 h after imbibition, meiotic tassel was sampled when the eighteen leave were extended(V18), immature tassel was sampled when the thirteen leave were extended(V13) [<xref ref-type="bibr" rid="pone.0185418.ref068">68</xref>, <xref ref-type="bibr" rid="pone.0185418.ref069">69</xref>], these nine different tissue materials were collected and stored for RNA isolation. Total RNA was extracted using Trizol (Invitrogen, Carlsbad, CA, USA). All the primers for qPCR were designed using QuantPrimer (<ext-link ext-link-type="uri" xlink:href="http://quantprime.mpimp-golm.mpg.de/" xlink:type="simple">http://quantprime.mpimp-golm.mpg.de/</ext-link>) (<xref ref-type="supplementary-material" rid="pone.0185418.s006">S6 Table</xref>). We selected the best pair of primers for qRT-PCR, the specificity of primers was tested by melting curve. A single peak indicates that the amplification product is specific and the corresponding PCR results were used for data analysis. Reverse transcription was performed with 5 μg total RNA as the template by using the TransScript® II One-Step gDNA Removal and cDNA Synthesis SuperMix (TRANSGEN BIOTECH, AH311). Quantitative RT-PCR (qRT-PCR) was carried out on the Bio-RAD CFX96 using the Real SYBR Mixture (CWBIO, CW0760). The results were analyzed with the Bio-RAD CFX Manager software. Three biological replicates were performed.</p>
</sec>
</sec>
<sec id="sec018">
<title>Supporting information</title>
<supplementary-material id="pone.0185418.s001" mimetype="application/msword" position="float" xlink:href="info:doi/10.1371/journal.pone.0185418.s001" xlink:type="simple">
<label>S1 Table</label>
<caption>
<title>Details of splicing variants of maize <italic>GRAS</italic> genes.</title>
<p>(DOC)</p>
</caption>
</supplementary-material>
<supplementary-material id="pone.0185418.s002" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" position="float" xlink:href="info:doi/10.1371/journal.pone.0185418.s002" xlink:type="simple">
<label>S2 Table</label>
<caption>
<title>The maize GRAS genes in the PlantTFDB and PlnTFDB websites.</title>
<p>(DOCX)</p>
</caption>
</supplementary-material>
<supplementary-material id="pone.0185418.s003" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" position="float" xlink:href="info:doi/10.1371/journal.pone.0185418.s003" xlink:type="simple">
<label>S3 Table</label>
<caption>
<title>Gene ID of <italic>GRAS</italic> gene family members from four model plants: <italic>Arabidopsis thaliana, Medicago truncatula, Oryza sativa</italic> and <italic>Sorghum bicolor</italic>.</title>
<p>(DOCX)</p>
</caption>
</supplementary-material>
<supplementary-material id="pone.0185418.s004" mimetype="application/msword" position="float" xlink:href="info:doi/10.1371/journal.pone.0185418.s004" xlink:type="simple">
<label>S4 Table</label>
<caption>
<title>The structural features of motif 1–20.</title>
<p>(DOC)</p>
</caption>
</supplementary-material>
<supplementary-material id="pone.0185418.s005" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" position="float" xlink:href="info:doi/10.1371/journal.pone.0185418.s005" xlink:type="simple">
<label>S5 Table</label>
<caption>
<title>Partial of the different cis-regulate elements in the 2000bp promoter region of the gene <italic>ZmGRAS40</italic> and <italic>ZmGRAS62</italic>.</title>
<p>(DOCX)</p>
</caption>
</supplementary-material>
<supplementary-material id="pone.0185418.s006" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" position="float" xlink:href="info:doi/10.1371/journal.pone.0185418.s006" xlink:type="simple">
<label>S6 Table</label>
<caption>
<title>Primers used in the Real-time quantitative RT-PCR.</title>
<p>(DOCX)</p>
</caption>
</supplementary-material>
<supplementary-material id="pone.0185418.s007" mimetype="image/tiff" position="float" xlink:href="info:doi/10.1371/journal.pone.0185418.s007" xlink:type="simple">
<label>S1 Fig</label>
<caption>
<title>C-terminal conserved domains of maize <italic>GRAS</italic> genes.</title>
<p>(TIF)</p>
</caption>
</supplementary-material>
<supplementary-material id="pone.0185418.s008" mimetype="image/tiff" position="float" xlink:href="info:doi/10.1371/journal.pone.0185418.s008" xlink:type="simple">
<label>S2 Fig</label>
<caption>
<title>Three N-terminal specific motifs of LISCL subfamily.</title>
<p>(TIF)</p>
</caption>
</supplementary-material>
</sec>
</body>
<back>
<ack>
<p>We would like to thank Tingting Zhang (Shandong Agricultural University, China) for her critical suggestions. We also thank Xiaodong Xue, Qinxia Li and Caihua Qin (Shandong Agricultural University, China) for the data analysis and processing.</p>
</ack>
<ref-list>
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