Omics studies of citrus, grape and rosaceae fruit trees
Identifieur interne : 000413 ( Pmc/Curation ); précédent : 000412; suivant : 000414Omics studies of citrus, grape and rosaceae fruit trees
Auteurs : Katsuhiro Shiratake [Japon] ; Mami Suzuki [Japon]Source :
- Breeding Science [ 1344-7610 ] ; 2016.
Abstract
Recent advance of bioinformatics and analytical apparatuses such as next generation DNA sequencer (NGS) and mass spectrometer (MS) has brought a big wave of comprehensive study to biology. Comprehensive study targeting all genes, transcripts (RNAs), proteins, metabolites, hormones, ions or phenotypes is called genomics, transcriptomics, proteomics, metabolomics, hormonomics, ionomics or phenomics, respectively. These omics are powerful approaches to identify key genes for important traits, to clarify events of physiological mechanisms and to reveal unknown metabolic pathways in crops. Recently, the use of omics approach has increased dramatically in fruit tree research. Although the most reported omics studies on fruit trees are transcriptomics, proteomics and metabolomics, and a few is reported on hormonomics and ionomics. In this article, we reviewed recent omics studies of major fruit trees, i.e. citrus, grapevine and rosaceae fruit trees. The effectiveness and prospects of omics in fruit tree research will as well be highlighted.
Url:
DOI: 10.1270/jsbbs.66.122
PubMed: 27069397
PubMed Central: 4780796
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<author><name sortKey="Shiratake, Katsuhiro" sort="Shiratake, Katsuhiro" uniqKey="Shiratake K" first="Katsuhiro" last="Shiratake">Katsuhiro Shiratake</name>
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<author><name sortKey="Suzuki, Mami" sort="Suzuki, Mami" uniqKey="Suzuki M" first="Mami" last="Suzuki">Mami Suzuki</name>
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<front><div type="abstract" xml:lang="en"><p>Recent advance of bioinformatics and analytical apparatuses such as next generation DNA sequencer (NGS) and mass spectrometer (MS) has brought a big wave of comprehensive study to biology. Comprehensive study targeting all genes, transcripts (RNAs), proteins, metabolites, hormones, ions or phenotypes is called genomics, transcriptomics, proteomics, metabolomics, hormonomics, ionomics or phenomics, respectively. These omics are powerful approaches to identify key genes for important traits, to clarify events of physiological mechanisms and to reveal unknown metabolic pathways in crops. Recently, the use of omics approach has increased dramatically in fruit tree research. Although the most reported omics studies on fruit trees are transcriptomics, proteomics and metabolomics, and a few is reported on hormonomics and ionomics. In this article, we reviewed recent omics studies of major fruit trees, i.e. citrus, grapevine and rosaceae fruit trees. The effectiveness and prospects of omics in fruit tree research will as well be highlighted.</p>
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<front><journal-meta><journal-id journal-id-type="nlm-ta">Breed Sci</journal-id>
<journal-id journal-id-type="iso-abbrev">Breed. Sci</journal-id>
<journal-title-group><journal-title>Breeding Science</journal-title>
</journal-title-group>
<issn pub-type="ppub">1344-7610</issn>
<issn pub-type="epub">1347-3735</issn>
<publisher><publisher-name>Japanese Society of Breeding</publisher-name>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">27069397</article-id>
<article-id pub-id-type="pmc">4780796</article-id>
<article-id pub-id-type="doi">10.1270/jsbbs.66.122</article-id>
<article-id pub-id-type="publisher-id">66_122</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Review</subject>
</subj-group>
</article-categories>
<title-group><article-title>Omics studies of citrus, grape and rosaceae fruit trees</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Shiratake</surname>
<given-names>Katsuhiro</given-names>
</name>
<xref ref-type="aff" rid="af1-66_122">1</xref>
<xref rid="c1-66_122" ref-type="corresp">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Suzuki</surname>
<given-names>Mami</given-names>
</name>
<xref ref-type="aff" rid="af1-66_122">1</xref>
<xref rid="fn2-66_122" ref-type="author-notes">2</xref>
</contrib>
</contrib-group>
<aff id="af1-66_122"><label>1</label>
<institution>Graduate School of Bioagricultural Sciences, Nagoya University</institution>
,<addr-line>Chikusa, Nagoya, Aichi 464-8601</addr-line>
,<country>Japan</country>
</aff>
<author-notes><corresp id="c1-66_122"><label>*</label>
Corresponding author (e-mail: <email>shira@agr.nagoya-u.ac.jp</email>
)</corresp>
<fn id="fn1-66_122"><p>Communicated by T. Yamamoto</p>
</fn>
<fn id="fn2-66_122"><label>2</label>
<p><italic>Present address: Research Institute of Environment, Agriculture and Fisheries, Osaka Prefecture</italic>
, Shakudo, Habikino, Osaka 583-0862, Japan</p>
</fn>
</author-notes>
<pub-date pub-type="ppub"><month>1</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="epub"><day>1</day>
<month>1</month>
<year>2016</year>
</pub-date>
<volume>66</volume>
<issue>1</issue>
<fpage>122</fpage>
<lpage>138</lpage>
<history><date date-type="received"><day>23</day>
<month>9</month>
<year>2015</year>
</date>
<date date-type="accepted"><day>01</day>
<month>11</month>
<year>2015</year>
</date>
</history>
<permissions><copyright-statement>Copyright © 2016 by JAPANESE SOCIETY OF BREEDING</copyright-statement>
<copyright-year>2016</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc-nd/3.0"><license-p>This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>
<abstract><p>Recent advance of bioinformatics and analytical apparatuses such as next generation DNA sequencer (NGS) and mass spectrometer (MS) has brought a big wave of comprehensive study to biology. Comprehensive study targeting all genes, transcripts (RNAs), proteins, metabolites, hormones, ions or phenotypes is called genomics, transcriptomics, proteomics, metabolomics, hormonomics, ionomics or phenomics, respectively. These omics are powerful approaches to identify key genes for important traits, to clarify events of physiological mechanisms and to reveal unknown metabolic pathways in crops. Recently, the use of omics approach has increased dramatically in fruit tree research. Although the most reported omics studies on fruit trees are transcriptomics, proteomics and metabolomics, and a few is reported on hormonomics and ionomics. In this article, we reviewed recent omics studies of major fruit trees, i.e. citrus, grapevine and rosaceae fruit trees. The effectiveness and prospects of omics in fruit tree research will as well be highlighted.</p>
</abstract>
<kwd-group><kwd>citrus</kwd>
<kwd>grapevine</kwd>
<kwd>metabolomics</kwd>
<kwd>omics</kwd>
<kwd>proteomics</kwd>
<kwd>rosaceae fruit tree</kwd>
<kwd>transcriptomics</kwd>
</kwd-group>
</article-meta>
</front>
<floats-group><fig id="f1-66_122" orientation="portrait" position="float"><label>Fig. 1</label>
<caption><p>Conceptual scheme of omics study. Comprehensive studies targeting all genes, transcripts (RNAs), proteins, metabolites, hormones, ions and phenotypes are called genomics, transcriptomics, proteomics, metabolomics, hormonomics, ionomics and phenomics, respectively.</p>
</caption>
<graphic xlink:href="66_122_1"></graphic>
</fig>
<fig id="f2-66_122" orientation="portrait" position="float"><label>Fig. 2</label>
<caption><p>“Fruits Omics Database”. The website, named “Fruits Omics Database”, are collecting transcriptome, proteome, metabolome, hormonome and ionome data of fruits, especially focusing rosaceae fruit trees. At present, the transcriptome, metabolome, hormonome and ionome data of European pear fruits are available. The URL of Fruits Omics Database is <ext-link ext-link-type="uri" xlink:href="http://www.tr.yamagata-u.ac.jp/~oikawa/oikawa/GLPDB%202/GLPDB_E/index.html">http://www.tr.yamagata-u.ac.jp/~oikawa/oikawa/GLPDB%202/GLPDB_E/index.html</ext-link>
.</p>
</caption>
<graphic xlink:href="66_122_2"></graphic>
</fig>
<table-wrap id="t1-66_122" orientation="portrait" position="float"><label>Table 1</label>
<caption><p>Useful web pages for fruit omics study</p>
</caption>
<table frame="hsides" rules="groups"><thead><tr><th valign="bottom" align="left" rowspan="1" colspan="1">Name</th>
<th valign="bottom" align="left" rowspan="1" colspan="1">Object</th>
<th valign="bottom" align="left" rowspan="1" colspan="1">Target/Species</th>
<th valign="bottom" align="left" rowspan="1" colspan="1">URL</th>
</tr>
</thead>
<tbody><tr><td valign="top" align="left" rowspan="1" colspan="1">Genome Database for Rosaceae</td>
<td valign="top" align="left" rowspan="1" colspan="1">genome</td>
<td valign="top" align="left" rowspan="1" colspan="1">rosaceae plants</td>
<td valign="top" align="left" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="https://www.rosaceae.org/">https://www.rosaceae.org/</ext-link>
</td>
</tr>
<tr><td valign="top" align="left" rowspan="1" colspan="1">Citrus Genome Database</td>
<td valign="top" align="left" rowspan="1" colspan="1">genome</td>
<td valign="top" align="left" rowspan="1" colspan="1">citrus</td>
<td valign="top" align="left" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="https://www.citrusgenomedb.org/">https://www.citrusgenomedb.org/</ext-link>
</td>
</tr>
<tr><td valign="top" align="left" rowspan="1" colspan="1">Grape Genome Database</td>
<td valign="top" align="left" rowspan="1" colspan="1">genome</td>
<td valign="top" align="left" rowspan="1" colspan="1">grape</td>
<td valign="top" align="left" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://genomes.cribi.unipd.it/grape/">http://genomes.cribi.unipd.it/grape/</ext-link>
</td>
</tr>
<tr><td valign="top" align="left" rowspan="1" colspan="1">Grape Genome Browser</td>
<td valign="top" align="left" rowspan="1" colspan="1">genome</td>
<td valign="top" align="left" rowspan="1" colspan="1">grape</td>
<td valign="top" align="left" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://www.genoscope.cns.fr/externe/GenomeBrowser/Vitis/">http://www.genoscope.cns.fr/externe/GenomeBrowser/Vitis/</ext-link>
</td>
</tr>
<tr><td valign="top" align="left" rowspan="1" colspan="1">PlantGDB</td>
<td valign="top" align="left" rowspan="1" colspan="1">genome</td>
<td valign="top" align="left" rowspan="1" colspan="1">various plants (grape, peach, papaya)</td>
<td valign="top" align="left" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://www.plantgdb.org/">http://www.plantgdb.org/</ext-link>
</td>
</tr>
<tr><td valign="top" align="left" rowspan="1" colspan="1">GEO</td>
<td valign="top" align="left" rowspan="1" colspan="1">microarray raw data</td>
<td valign="top" align="left" rowspan="1" colspan="1">all organisms</td>
<td valign="top" align="left" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://www.ncbi.nlm.nih.gov/geo/">http://www.ncbi.nlm.nih.gov/geo/</ext-link>
</td>
</tr>
<tr><td valign="top" align="left" rowspan="1" colspan="1">SRA</td>
<td valign="top" align="left" rowspan="1" colspan="1">RNAseq raw data</td>
<td valign="top" align="left" rowspan="1" colspan="1">all organisms</td>
<td valign="top" align="left" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://www.ncbi.nlm.nih.gov/sra">http://www.ncbi.nlm.nih.gov/sra</ext-link>
</td>
</tr>
<tr><td valign="top" align="left" rowspan="1" colspan="1">eFP Browser</td>
<td valign="top" align="left" rowspan="1" colspan="1">gene expression</td>
<td valign="top" align="left" rowspan="1" colspan="1">various plants (grape)</td>
<td valign="top" align="left" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://bar.utoronto.ca/efp_grape/cgi-bin/efpWeb.cgi">http://bar.utoronto.ca/efp_grape/cgi-bin/efpWeb.cgi</ext-link>
</td>
</tr>
<tr><td valign="top" align="left" rowspan="1" colspan="1">ATTED-II</td>
<td valign="top" align="left" rowspan="1" colspan="1">coexpression</td>
<td valign="top" align="left" rowspan="1" colspan="1">various plants (grape)</td>
<td valign="top" align="left" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://atted.jp/">http://atted.jp/</ext-link>
</td>
</tr>
<tr><td valign="top" align="left" rowspan="1" colspan="1">CoP</td>
<td valign="top" align="left" rowspan="1" colspan="1">coexpression</td>
<td valign="top" align="left" rowspan="1" colspan="1">various plants (grape)</td>
<td valign="top" align="left" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://webs2.kazusa.or.jp/kagiana/cop0911/">http://webs2.kazusa.or.jp/kagiana/cop0911/</ext-link>
</td>
</tr>
<tr><td valign="top" align="left" rowspan="1" colspan="1">MassBank</td>
<td valign="top" align="left" rowspan="1" colspan="1">MS spectrum</td>
<td valign="top" align="left" rowspan="1" colspan="1">all metabolites</td>
<td valign="top" align="left" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://www.massbank.jp/index.html?lang=en">http://www.massbank.jp/index.html?lang=en</ext-link>
</td>
</tr>
<tr><td valign="top" align="left" rowspan="1" colspan="1">ReSpect</td>
<td valign="top" align="left" rowspan="1" colspan="1">MS spectrum</td>
<td valign="top" align="left" rowspan="1" colspan="1">all metabolites</td>
<td valign="top" align="left" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://spectra.psc.riken.jp/">http://spectra.psc.riken.jp/</ext-link>
</td>
</tr>
<tr><td valign="top" align="left" rowspan="1" colspan="1">KNApSAcK</td>
<td valign="top" align="left" rowspan="1" colspan="1">metabololite</td>
<td valign="top" align="left" rowspan="1" colspan="1">all metabolites</td>
<td valign="top" align="left" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://kanaya.naist.jp/KNApSAcK_Family/">http://kanaya.naist.jp/KNApSAcK_Family/</ext-link>
</td>
</tr>
<tr><td valign="top" align="left" rowspan="1" colspan="1">KEGG</td>
<td valign="top" align="left" rowspan="1" colspan="1">metabolic pathway etc.</td>
<td valign="top" align="left" rowspan="1" colspan="1">various organisms (grape)</td>
<td valign="top" align="left" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://www.genome.jp/kegg/">http://www.genome.jp/kegg/</ext-link>
</td>
</tr>
<tr><td valign="top" align="left" rowspan="1" colspan="1">PMN/PlantCyc</td>
<td valign="top" align="left" rowspan="1" colspan="1">metabolic pathway</td>
<td valign="top" align="left" rowspan="1" colspan="1">various plants (grape, papaya)</td>
<td valign="top" align="left" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://www.plantcyc.org/">http://www.plantcyc.org/</ext-link>
</td>
</tr>
<tr><td valign="top" align="left" rowspan="1" colspan="1">VitisCyc</td>
<td valign="top" align="left" rowspan="1" colspan="1">metabolic pathway</td>
<td valign="top" align="left" rowspan="1" colspan="1">grape</td>
<td valign="top" align="left" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://pathways.cgrb.oregonstate.edu/index.html">http://pathways.cgrb.oregonstate.edu/index.html</ext-link>
</td>
</tr>
<tr><td valign="top" align="left" rowspan="1" colspan="1">KaPPA-View 4 KEGG</td>
<td valign="top" align="left" rowspan="1" colspan="1">metabolic pathway drafting</td>
<td valign="top" align="left" rowspan="1" colspan="1">various plants (grape)</td>
<td valign="top" align="left" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://kpv.kazusa.or.jp/kpv4-kegg-1402/">http://kpv.kazusa.or.jp/kpv4-kegg-1402/</ext-link>
</td>
</tr>
<tr><td valign="top" align="left" rowspan="1" colspan="1">Fruit Omics Database</td>
<td valign="top" align="left" rowspan="1" colspan="1">omics data</td>
<td valign="top" align="left" rowspan="1" colspan="1">fruit trees (pear)</td>
<td valign="top" align="left" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://www.tr.yamagata-u.ac.jp/~oikawa/oikawa/GLPDB%202/GLPDB_E/index.html">http://www.tr.yamagata-u.ac.jp/~oikawa/oikawa/GLPDB%202/GLPDB_E/index.html</ext-link>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</floats-group>
</pmc>
</record>
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