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Reproducible RNA Preparation from Sugarcane and Citrus for Functional Genomic Applications

Identifieur interne : 000A33 ( Pmc/Curation ); précédent : 000A32; suivant : 000A34

Reproducible RNA Preparation from Sugarcane and Citrus for Functional Genomic Applications

Auteurs : Mona B. Damaj [États-Unis] ; Phillip D. Beremand [États-Unis] ; Marco T. Buenrostro-Nava [États-Unis] ; Beth Riedel [États-Unis] ; Joe J. Molina [États-Unis] ; Siva P. Kumpatla [États-Unis] ; Terry L. Thomas [États-Unis] ; T. Erik Mirkov [États-Unis]

Source :

RBID : PMC:2817868

Abstract

High-throughput functional genomic procedures depend on the quality of the RNA used. Copurifying molecules can negatively impact the functionality of some plant RNA preparations employed in these procedures. We present a simplified, rapid, and scalable SDS/phenol-based method that provides the high-quantity and -quality RNA required by the newly emerging biotechnology applications. The method is applied to isolating RNA from tissues of two biotechnologically important crop plants, sugarcane and citrus, which provide a challenge due to the presence of fiber, polysaccharides, or secondary metabolites. The RNA isolated by this method is suitable for several downstream applications including northern blot hybridization, microarray analysis, and quantitative RT-PCR. This method has been used in a diverse range of projects ranging from screening plant lines overexpressing mammalian genes to analyzing plant responses to viral infection and defense signaling molecules.


Url:
DOI: 10.1155/2009/765367
PubMed: 20148085
PubMed Central: 2817868

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Le document en format XML

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</TEI>
<pmc article-type="other">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Int J Plant Genomics</journal-id>
<journal-id journal-id-type="publisher-id">IJPG</journal-id>
<journal-title-group>
<journal-title>International Journal of Plant Genomics</journal-title>
</journal-title-group>
<issn pub-type="ppub">1687-5370</issn>
<issn pub-type="epub">1687-5389</issn>
<publisher>
<publisher-name>Hindawi Publishing Corporation</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">20148085</article-id>
<article-id pub-id-type="pmc">2817868</article-id>
<article-id pub-id-type="doi">10.1155/2009/765367</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Methodology Report</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Reproducible RNA Preparation from Sugarcane and Citrus for Functional Genomic Applications</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Damaj</surname>
<given-names>Mona B.</given-names>
</name>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Beremand</surname>
<given-names>Phillip D.</given-names>
</name>
<xref ref-type="aff" rid="I2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Buenrostro-Nava</surname>
<given-names>Marco T.</given-names>
</name>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Riedel</surname>
<given-names>Beth</given-names>
</name>
<xref ref-type="aff" rid="I2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Molina</surname>
<given-names>Joe J.</given-names>
</name>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kumpatla</surname>
<given-names>Siva P.</given-names>
</name>
<xref ref-type="aff" rid="I3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Thomas</surname>
<given-names>Terry L.</given-names>
</name>
<xref ref-type="aff" rid="I2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="cor1">*</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mirkov</surname>
<given-names>T. Erik</given-names>
</name>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="cor2">*</xref>
</contrib>
</contrib-group>
<aff id="I1">
<sup>1</sup>
Department of Plant Pathology and Microbiology, Texas AgriLife Research, Texas A&M System, Weslaco, TX 78596, USA</aff>
<aff id="I2">
<sup>2</sup>
Laboratory for Functional Genomics, Department of Biology, Texas A&M University, College Station, TX 77843-3258, USA</aff>
<aff id="I3">
<sup>3</sup>
Department of Trait Genetics and Technologies, Dow AgroSciences LLC, 9330 Zionsville Road, Indianapolis, IN 46268, USA</aff>
<author-notes>
<corresp id="cor1">*Terry L. Thomas:
<email>tlthomas@tamu.edu</email>
and</corresp>
<corresp id="cor2">*T. Erik Mirkov:
<email>e-mirkov@tamu.edu</email>
</corresp>
<fn fn-type="other">
<p>Recommended by Hongbin Zhang</p>
</fn>
</author-notes>
<pub-date pub-type="ppub">
<year>2009</year>
</pub-date>
<pub-date pub-type="epub">
<day>27</day>
<month>1</month>
<year>2010</year>
</pub-date>
<volume>2009</volume>
<elocation-id>765367</elocation-id>
<history>
<date date-type="received">
<day>9</day>
<month>4</month>
<year>2009</year>
</date>
<date date-type="rev-recd">
<day>12</day>
<month>9</month>
<year>2009</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>10</month>
<year>2009</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright © 2009 Mona B. Damaj et al.</copyright-statement>
<copyright-year>2009</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>
<abstract>
<p>High-throughput functional genomic procedures depend on the quality of the RNA used. Copurifying molecules can negatively impact the functionality of some plant RNA preparations employed in these procedures. We present a simplified, rapid, and scalable SDS/phenol-based method that provides the high-quantity and -quality RNA required by the newly emerging biotechnology applications. The method is applied to isolating RNA from tissues of two biotechnologically important crop plants, sugarcane and citrus, which provide a challenge due to the presence of fiber, polysaccharides, or secondary metabolites. The RNA isolated by this method is suitable for several downstream applications including northern blot hybridization, microarray analysis, and quantitative RT-PCR. This method has been used in a diverse range of projects ranging from screening plant lines overexpressing mammalian genes to analyzing plant responses to viral infection and defense signaling molecules.</p>
</abstract>
</article-meta>
</front>
<floats-group>
<fig id="fig1" position="float">
<label>Figure 1</label>
<caption>
<p>Assessment of the integrity of total RNA isolated by the TENS-PCI method, and the two kits, FastRNA Pro Green and RNeasy Plant Mini, from sugarcane leaf, stem, and root tissues, using chip-based electrophoretic separation with a bioanalyzer. A total of 100 ng of RNA was loaded per well. Representative RNA profiles corresponding to the three tissues are shown. Gel-like images of RNA from each tissue, generated from the RNA profiles, were included for clarity on the right side. The Agilent RNA 6000 Nano ladder is included for sizing. SS and LS represent the small and large ribosomal subunits, respectively. Numeric values represent mean and standard error of two biological replicates and at least three technical repeats.</p>
</caption>
<graphic xlink:href="IJPG2009-765367.001"></graphic>
</fig>
<fig id="fig2" position="float">
<label>Figure 2</label>
<caption>
<p>Assessment of the integrity of total RNA isolated by the TENS-PCI method from sugarcane stem tissues of plants treated with stress-regulated hormones, using chip-based electrophoretic separation with a bioanalyzer. A total of 100 ng of RNA was loaded per well. Representative RNA profiles corresponding to stem tissues of plants after treatment with SA (5 mM) or MeJA (100 
<italic>μ</italic>
M) at 0, 24, and 48 hours (h) are shown. Gel-like images of RNA from each treatment, generated from the RNA profiles, are included for clarity on the right side. SS and LS represent the small and large ribosomal subunits, respectively. Numeric values represent mean and standard error of two biological replicates and at least three technical repeats.</p>
</caption>
<graphic xlink:href="IJPG2009-765367.002"></graphic>
</fig>
<fig id="fig3" position="float">
<label>Figure 3</label>
<caption>
<p>Northern analysis of the expression levels of sugarcane (a) and sweet orange (b) lines overexpressing a mammalian gene. Total RNA was isolated from leaf tissues by the TENS-PCI, the RNeasy guanidine-based (GB), and phenol-based (PB) methods. GB-ITC refers to guanidine isothiocyanate and GB-C to guanidine hydrochloride. RNA (10 
<italic>μ</italic>
g each lane) was fractionated, blotted, hybridized, washed, and imaged as described in Material and Methods.</p>
</caption>
<graphic xlink:href="IJPG2009-765367.003"></graphic>
</fig>
<fig id="fig4" position="float">
<label>Figure 4</label>
<caption>
<p>Chip-based electrophoretic separation of amplified total RNA (aRNA) isolated by the TENS-PCI method. aRNA was analyzed using an Agilent 2100 Bioanalyzer. A total of 20 ng of aRNA was loaded per well. (a) Densitometry simulation for aRNA from stem, leaf and root tissues of untreated plants as well as from stem tissues of plants after treatment with SA (5 mM) or MeJA (100 
<italic>μ</italic>
M) at 0, 24 and 48 hours (h). (b) Representative profiles of aRNA corresponding to stems of untreated plants, as well as to stems of control (mock: water and 0.1 % ethanol, 48 hours) and treated plants (MeJA at 48 hours). The Agilent RNA 6000 Nano ladder is included for sizing.</p>
</caption>
<graphic xlink:href="IJPG2009-765367.004"></graphic>
</fig>
<table-wrap id="tab1" position="float">
<label>Table 1</label>
<caption>
<p>The TENS-PCI protocol used for RNA isolation.</p>
</caption>
<table frame="hsides" rules="groups">
<tbody>
<tr>
<td align="left" rowspan="2" colspan="1">(1) Extraction</td>
<td align="left" rowspan="1" colspan="1">(a) TENS 
<sup>(a)</sup>
and PCI 
<sup>(b)</sup>
(equal volume)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">(b) PCI</td>
</tr>
<tr>
<td align="left" rowspan="2" colspan="1">(2) Precipitation</td>
<td align="left" rowspan="1" colspan="1">3 M sodium acetate (pH 5.2) (0.1x volume)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Ethanol (3.0x volume)</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">(3) Re-precipitation</td>
<td align="left" rowspan="1" colspan="1">4 M lithium chloride</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>(a)</sup>
 TENS: 10 mM hydroxymethyl aminomethane (Tris-HCl) (pH 7.5), 1 mM ethylenedinitrilo-tetraacetic acid (sodium EDTA) (pH 8.0), 0.1 M sodium chloride (NaCl), 1% (w/v) sodium dodecyl sulfate (SDS), 2% (w/v) polyvinylpyrrolidone (PVP)-40, and 7% (v/v) 2-mercaptoethanol. </p>
</fn>
<fn>
<p>
<sup>(b)</sup>
 PCI: phenol (pH 4.3): chloroform: isoamyl alcohol (1.0: 0.8: 0.2).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tab2" position="float">
<label>Table 2</label>
<caption>
<p>Comparison of the TENS-PCI method with other RNA isolation procedures used for plant species with high levels of secondary metabolites.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" rowspan="3" colspan="1">Method</th>
<th align="center" colspan="3" rowspan="1">RNA yield 
<sup>(a)</sup>
(
<italic>μ</italic>
g/mg tissue)</th>
<th align="center" colspan="2" rowspan="1">RNA purity 
<sup>(a)</sup>
</th>
</tr>
<tr>
<th align="left" rowspan="1" colspan="1"></th>
<th align="left" rowspan="1" colspan="1"></th>
<th align="left" rowspan="1" colspan="1"></th>
<th align="left" rowspan="1" colspan="1"></th>
<th align="center" colspan="2" rowspan="1">Leaf</th>
</tr>
<tr>
<th align="left" rowspan="1" colspan="1">Leaf</th>
<th align="left" rowspan="1" colspan="1">Stem</th>
<th align="left" rowspan="1" colspan="1">Root</th>
<th align="left" rowspan="1" colspan="1">A
<sub>260</sub>
: A
<sub>230</sub>
</th>
<th align="left" rowspan="1" colspan="1">A
<sub>260</sub>
: A
<sub>280</sub>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Sugarcane (</italic>
Saccharum
<italic>spp. hybrid) (present study) </italic>
</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> TENS-PCI: Micro-scale</td>
<td align="left" rowspan="1" colspan="1">0.59 ± 0.07</td>
<td align="left" rowspan="1" colspan="1">0.44 ± 0.05</td>
<td align="left" rowspan="1" colspan="1">0.45 ± 0.03</td>
<td align="left" rowspan="1" colspan="1">1.99 ± 0.07</td>
<td align="left" rowspan="1" colspan="1">1.97 ± 0.09</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">      Macro-scale</td>
<td align="left" rowspan="1" colspan="1">2.42 ± 0.15</td>
<td align="left" rowspan="1" colspan="1">3.92 ± 0.27</td>
<td align="left" rowspan="1" colspan="1">0.99 ± 0.08</td>
<td align="left" rowspan="1" colspan="1">2.01 ± 0.07</td>
<td align="left" rowspan="1" colspan="1">1.98 ± 0.06</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> RNeasy Plant Mini Kit</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">  Guanidine isothiocyanate</td>
<td align="left" rowspan="1" colspan="1">0.10 ± 0.04</td>
<td align="left" rowspan="1" colspan="1">NA 
<sup>(b)</sup>
</td>
<td align="left" rowspan="1" colspan="1">NA</td>
<td align="left" rowspan="1" colspan="1">2.30 ± 0.08</td>
<td align="left" rowspan="1" colspan="1">1.95 ± 0.10</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">  Guanidine hydrochloride</td>
<td align="left" rowspan="1" colspan="1">0.11 ± 0.04</td>
<td align="left" rowspan="1" colspan="1">NA</td>
<td align="left" rowspan="1" colspan="1">NA</td>
<td align="left" rowspan="1" colspan="1">1.20 ± 0.06</td>
<td align="left" rowspan="1" colspan="1">1.92 ± 0.11</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> FastRNA Pro Green Kit (Phenol-based)</td>
<td align="left" rowspan="1" colspan="1">0.11 ± 0.03</td>
<td align="left" rowspan="1" colspan="1">NA</td>
<td align="left" rowspan="1" colspan="1">NA</td>
<td align="left" rowspan="1" colspan="1">1.17 ± 0.05</td>
<td align="left" rowspan="1" colspan="1">1.79 ± 0.07</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Sweet orange (</italic>
Citrus sinensis
<italic> Pers.) (present study) </italic>
</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> TENS-PCI: Macro-scale</td>
<td align="left" rowspan="1" colspan="1">2.29 ± 0.11</td>
<td align="left" rowspan="1" colspan="1">NA</td>
<td align="left" rowspan="1" colspan="1">NA</td>
<td align="left" rowspan="1" colspan="1">2.13 ± 0.01</td>
<td align="left" rowspan="1" colspan="1">2.07 ± 0.01</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Woody plants</italic>
</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">(1) Grapevine (
<italic>Vitis</italic>
spp.) [
<xref ref-type="bibr" rid="B44">44</xref>
]</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">  Rapid CTAB</td>
<td align="left" rowspan="1" colspan="1">0.11 ± 0.05</td>
<td align="left" rowspan="1" colspan="1">0.11 ± 0.03</td>
<td align="left" rowspan="1" colspan="1">NA</td>
<td align="left" rowspan="1" colspan="1">2.29 ± 0.12</td>
<td align="left" rowspan="1" colspan="1">1.89 ± 0.03</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">  RNeasy kit</td>
<td align="left" rowspan="1" colspan="1">0.04 ± 0.01</td>
<td align="left" rowspan="1" colspan="1">0.04 ± 0.01</td>
<td align="left" rowspan="1" colspan="1">NA</td>
<td align="left" rowspan="1" colspan="1">0.36 ± 0.05</td>
<td align="left" rowspan="1" colspan="1">1.07 ± 0.04</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">  Guanidine</td>
<td align="left" rowspan="1" colspan="1">0.12 ± 0.02</td>
<td align="left" rowspan="1" colspan="1">0.10 ± 0.02</td>
<td align="left" rowspan="1" colspan="1">NA</td>
<td align="left" rowspan="1" colspan="1">1.11 ± 0.08</td>
<td align="left" rowspan="1" colspan="1">1.77 ± 0.10</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">(2) Lemon tree (
<italic>Citrus limon </italic>
Burm.f.)</td>
<td align="left" rowspan="1" colspan="1">0.14 ± 0.03</td>
<td align="left" rowspan="1" colspan="1">0.06 ± 0.01</td>
<td align="left" rowspan="1" colspan="1">NA</td>
<td align="left" rowspan="1" colspan="1">2.28 ± 0.14</td>
<td align="left" rowspan="1" colspan="1">2.01 ± 0.03</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">  Rapid CTAB [
<xref ref-type="bibr" rid="B44">44</xref>
]</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">(3) Plum (
<italic>Prunus domestica</italic>
L.)</td>
<td align="left" rowspan="1" colspan="1">0.18 ± 0.01</td>
<td align="left" rowspan="1" colspan="1">0.21 ± 0.04</td>
<td align="left" rowspan="1" colspan="1">NA</td>
<td align="left" rowspan="1" colspan="1">2.23 ± 0.11</td>
<td align="left" rowspan="1" colspan="1">2.03 ± 0.02</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">  Rapid CTAB [
<xref ref-type="bibr" rid="B44">44</xref>
]</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">(4) London plane tree (
<italic>Platanus acerifolia </italic>
Willd.) [
<xref ref-type="bibr" rid="B6">6</xref>
]</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">  Guanidine</td>
<td align="left" rowspan="1" colspan="1">0.20 ± 0.004</td>
<td align="left" rowspan="1" colspan="1">NA</td>
<td align="left" rowspan="1" colspan="1">NA</td>
<td align="left" rowspan="1" colspan="1">1.49 ± 0.07</td>
<td align="left" rowspan="1" colspan="1">1.35 ± 0.11</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">  SDS/phenol</td>
<td align="left" rowspan="1" colspan="1">0.12 ± 0.004</td>
<td align="left" rowspan="1" colspan="1">NA</td>
<td align="left" rowspan="1" colspan="1">NA</td>
<td align="left" rowspan="1" colspan="1">1.47 ± 0.06</td>
<td align="left" rowspan="1" colspan="1">1.49 ± 0.89</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">  CTAB</td>
<td align="left" rowspan="1" colspan="1">0.26 ± 0.007</td>
<td align="left" rowspan="1" colspan="1">NA</td>
<td align="left" rowspan="1" colspan="1">NA</td>
<td align="left" rowspan="1" colspan="1">1.61 ± 0.07</td>
<td align="left" rowspan="1" colspan="1">1.62 ± 0.79</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>(a)</sup>
Data represent mean and standard error of at least 6 biological replicates and 6 technical repeats. </p>
</fn>
<fn>
<p>
<sup>(b)</sup>
NA: data not available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tab3" position="float">
<label>Table 3</label>
<caption>
<p>Relative mRNA levels of representative defense- and stress-responsive genes that are two-fold up-regulated in sugarcane after treatment with the pathogen
<italic>Sorghum mosaic virus</italic>
(SrMV) or the stress-regulated hormones, salicylic acid (SA) and methyl jasmonate (MeJA), as detected by microarray and qRT-PCR analyses.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center" colspan="12" rowspan="1"> Fold induction or repression</th>
</tr>
<tr>
<th align="left" rowspan="3" colspan="1">Putative function</th>
<th align="left" rowspan="3" colspan="1">Accession no.</th>
<th align="left" rowspan="3" colspan="1">Stem/Leaf</th>
<th align="left" rowspan="3" colspan="1">SrMV</th>
<th align="center" colspan="2" rowspan="1">SA (h)</th>
<th align="left" rowspan="1" colspan="1"></th>
<th align="left" rowspan="1" colspan="1"></th>
<th align="center" colspan="2" rowspan="1">MeJA (h) </th>
</tr>
<tr>
<th align="center" colspan="2" rowspan="1">Microarray</th>
<th align="center" colspan="2" rowspan="1">qRT-PCR</th>
<th align="center" colspan="2" rowspan="1">Microarray</th>
<th align="center" colspan="2" rowspan="1">qRT-PCR</th>
</tr>
<tr>
<th align="left" rowspan="1" colspan="1">24</th>
<th align="left" rowspan="1" colspan="1">48</th>
<th align="left" rowspan="1" colspan="1">24</th>
<th align="left" rowspan="1" colspan="1">48</th>
<th align="left" rowspan="1" colspan="1">24</th>
<th align="left" rowspan="1" colspan="1">48</th>
<th align="left" rowspan="1" colspan="1">24</th>
<th align="left" rowspan="1" colspan="1">48</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">(1) Genes coding for antimicrobial proteins</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Chitinase </italic>
</td>
<td align="left" rowspan="1" colspan="1">AW746272</td>
<td align="left" rowspan="1" colspan="1">1.48</td>
<td align="left" rowspan="1" colspan="1">0.98</td>
<td align="left" rowspan="1" colspan="1">1.2</td>
<td align="left" rowspan="1" colspan="1">
<bold>9.28</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.82</td>
<td align="left" rowspan="1" colspan="1">
<bold>12.36</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.27</td>
<td align="left" rowspan="1" colspan="1">0.31</td>
<td align="left" rowspan="1" colspan="1">1.87</td>
<td align="left" rowspan="1" colspan="1">1.56</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">(2) Genes coding for proteins involved in secondary metabolism</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>O</italic>
<italic>-methyltransferase </italic>
</td>
<td align="left" rowspan="1" colspan="1">NM_001155649</td>
<td align="left" rowspan="1" colspan="1">
<bold>3.2</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.03</td>
<td align="left" rowspan="1" colspan="1">0.67</td>
<td align="left" rowspan="1" colspan="1">
<bold>2</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.01</td>
<td align="left" rowspan="1" colspan="1">3.52</td>
<td align="left" rowspan="1" colspan="1">
<bold>3.99</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>2.53</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>2.53</bold>
</td>
<td align="left" rowspan="1" colspan="1">0.3</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic> Dirigent</italic>
-
<italic>SoDIR1 </italic>
</td>
<td align="left" rowspan="1" colspan="1">AY421731</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">  DIR1</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">
<bold>2.4</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.1</td>
<td align="left" rowspan="1" colspan="1">1.23</td>
<td align="left" rowspan="1" colspan="1">
<bold>17.21</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.84</td>
<td align="left" rowspan="1" colspan="1">
<bold>32.41</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.68</td>
<td align="left" rowspan="1" colspan="1">0.62</td>
<td align="left" rowspan="1" colspan="1">1.99</td>
<td align="left" rowspan="1" colspan="1">1.18</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">  DIR3</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">
<bold>2.54</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.02</td>
<td align="left" rowspan="1" colspan="1">1.24</td>
<td align="left" rowspan="1" colspan="1">
<bold>9.09</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.79</td>
<td align="left" rowspan="1" colspan="1">
<bold>14.05</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>2.25</bold>
</td>
<td align="left" rowspan="1" colspan="1">0.34</td>
<td align="left" rowspan="1" colspan="1">
<bold>4.26</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.75</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">  DIR8</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">
<bold>2.18</bold>
</td>
<td align="left" rowspan="1" colspan="1">0.98</td>
<td align="left" rowspan="1" colspan="1">0.99</td>
<td align="left" rowspan="1" colspan="1">
<bold>5.27</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.89</td>
<td align="left" rowspan="1" colspan="1">
<bold>8.89</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.75</td>
<td align="left" rowspan="1" colspan="1">0.64</td>
<td align="left" rowspan="1" colspan="1">1.96</td>
<td align="left" rowspan="1" colspan="1">1.61</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">  DIR9</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">
<bold>2.3</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.11</td>
<td align="left" rowspan="1" colspan="1">1.42</td>
<td align="left" rowspan="1" colspan="1">1.02</td>
<td align="left" rowspan="1" colspan="1">1.97</td>
<td align="left" rowspan="1" colspan="1">1.97</td>
<td align="left" rowspan="1" colspan="1">
<bold>3.05</bold>
</td>
<td align="left" rowspan="1" colspan="1">0.79</td>
<td align="left" rowspan="1" colspan="1">
<bold>7.98</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.79</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">  DIR10</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">
<bold>3.58</bold>
</td>
<td align="left" rowspan="1" colspan="1">0.96</td>
<td align="left" rowspan="1" colspan="1">1.43</td>
<td align="left" rowspan="1" colspan="1">
<bold>21.66</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>2.56</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>30.33</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>2.17</bold>
</td>
<td align="left" rowspan="1" colspan="1">0.29</td>
<td align="left" rowspan="1" colspan="1">
<bold>3.65</bold>
</td>
<td align="left" rowspan="1" colspan="1">0.97</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">  DIR27</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">
<bold>2.62</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.1</td>
<td align="left" rowspan="1" colspan="1">0.97</td>
<td align="left" rowspan="1" colspan="1">
<bold>6.93</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.75</td>
<td align="left" rowspan="1" colspan="1">
<bold>10.06</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.42</td>
<td align="left" rowspan="1" colspan="1">0.54</td>
<td align="left" rowspan="1" colspan="1">1.98</td>
<td align="left" rowspan="1" colspan="1">1.36</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">  DIR32</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">
<bold>2.96</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.03</td>
<td align="left" rowspan="1" colspan="1">1.16</td>
<td align="left" rowspan="1" colspan="1">
<bold>7.73</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.99</td>
<td align="left" rowspan="1" colspan="1">
<bold>11.04</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.14</td>
<td align="left" rowspan="1" colspan="1">0.43</td>
<td align="left" rowspan="1" colspan="1">1.96</td>
<td align="left" rowspan="1" colspan="1">1.06</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">  DIR34</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">
<bold>2.3</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.04</td>
<td align="left" rowspan="1" colspan="1">1.4</td>
<td align="left" rowspan="1" colspan="1">0.7</td>
<td align="left" rowspan="1" colspan="1">1.88</td>
<td align="left" rowspan="1" colspan="1">1.09</td>
<td align="left" rowspan="1" colspan="1">
<bold>3.08</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.06</td>
<td align="left" rowspan="1" colspan="1">
<bold>6.27</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.97</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">  DIR44</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">
<bold>7.84</bold>
</td>
<td align="left" rowspan="1" colspan="1">0.89</td>
<td align="left" rowspan="1" colspan="1">1.24</td>
<td align="left" rowspan="1" colspan="1">
<bold>19.22</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.94</td>
<td align="left" rowspan="1" colspan="1">
<bold>29.18</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>4</bold>
</td>
<td align="left" rowspan="1" colspan="1">0.79</td>
<td align="left" rowspan="1" colspan="1">
<bold>9.03</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.74</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Dirigent</italic>
-
<italic>SoDIR2 </italic>
</td>
<td align="left" rowspan="1" colspan="1">AJ626722</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">  DIR11</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">
<bold>4.83</bold>
</td>
<td align="left" rowspan="1" colspan="1">0.91</td>
<td align="left" rowspan="1" colspan="1">1.33</td>
<td align="left" rowspan="1" colspan="1">
<bold>20.96</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.08</td>
<td align="left" rowspan="1" colspan="1">
<bold>5.3</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>6.45</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.98</td>
<td align="left" rowspan="1" colspan="1">
<bold>7.21</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>2.23</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">  DIR37</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">
<bold>2.62</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.01</td>
<td align="left" rowspan="1" colspan="1">1.04</td>
<td align="left" rowspan="1" colspan="1">
<bold>11.32</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>2.12</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>19.24</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.32</td>
<td align="left" rowspan="1" colspan="1">0.35</td>
<td align="left" rowspan="1" colspan="1">1.98</td>
<td align="left" rowspan="1" colspan="1">0.88</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Dirigent-like </italic>
</td>
<td align="left" rowspan="1" colspan="1">AY781903</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">  DIR12</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">
<bold>3.97</bold>
</td>
<td align="left" rowspan="1" colspan="1">0.99</td>
<td align="left" rowspan="1" colspan="1">1.01</td>
<td align="left" rowspan="1" colspan="1">
<bold>15.81</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.97</td>
<td align="left" rowspan="1" colspan="1">
<bold>26.09</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>3.16</bold>
</td>
<td align="left" rowspan="1" colspan="1">0.2</td>
<td align="left" rowspan="1" colspan="1">
<bold>6.04</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.45</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">  DIR13</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">
<bold>3.25</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.13</td>
<td align="left" rowspan="1" colspan="1">1.25</td>
<td align="left" rowspan="1" colspan="1">
<bold>18.19</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>2.02</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>30.56</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>2.25</bold>
</td>
<td align="left" rowspan="1" colspan="1">0.24</td>
<td align="left" rowspan="1" colspan="1">
<bold>5.12</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.87</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">  DIR16</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">
<bold>3.08</bold>
</td>
<td align="left" rowspan="1" colspan="1">0.94</td>
<td align="left" rowspan="1" colspan="1">1.01</td>
<td align="left" rowspan="1" colspan="1">
<bold>19.64</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>2.02</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>19.86</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>8.67</bold>
</td>
<td align="left" rowspan="1" colspan="1">1.16</td>
<td align="left" rowspan="1" colspan="1">
<bold>9.97</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>2.99</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Relative abundance of mRNA transcripts of the cDNAs was determined in sugarcane stem, leaf, and root as well as in stem of plants infected with SrMV or treated with SA or MeJA. Values of each transcript were normalized to that of the sugarcane constitutive
<italic>ubiquitin</italic>
gene. Values represent the average normalized ratios of transcripts obtained: (1) from stems to those obtained from leaves, and (2) from stems at the indicated time of treatment to those obtained from the untreated (0 time or no infection). Data are representative of two biological samples and three technical repetitions. Values for cDNAs that are two-fold up-regulated are in bold.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</pmc>
</record>

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