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High-Throughput Sequencing and De Novo Assembly of Red and Green Forms of the Perilla frutescens var. crispa Transcriptome

Identifieur interne : 000605 ( Main/Exploration ); précédent : 000604; suivant : 000606

High-Throughput Sequencing and De Novo Assembly of Red and Green Forms of the Perilla frutescens var. crispa Transcriptome

Auteurs : Atsushi Fukushima [Japon] ; Michimi Nakamura [Japon] ; Hideyuki Suzuki [Japon] ; Kazuki Saito [Japon] ; Mami Yamazaki [Japon]

Source :

RBID : PMC:4466401

Abstract

Perilla frutescens var. crispa (Labiatae) has two chemo-varietal forms, i.e. red and green forms of perilla, that differ in the production of anthocyanins. To facilitate molecular biological and biochemical studies in perilla-specialized metabolism we used Illumina RNA-sequencing technology in our comprehensive comparison of the transcriptome map of the leaves of red and green forms of perilla. Sequencing generated over 1.2 billion short reads with an average length of 101 nt. De novo transcriptome assembly yielded 47,788 and 47,840 unigenes in the red and green forms of perilla plants, respectively. Comparison of the assembled unigenes and existing perilla cDNA sequences showed highly reliable alignment. All unigenes were annotated with gene ontology (GO) and Enzyme Commission numbers and entered into the Kyoto Encyclopedia of Genes and Genomes. We identified 68 differentially expressed genes (DEGs) in red and green forms of perilla. GO enrichment analysis of the DEGs showed that genes involved in the anthocyanin metabolic process were enriched. Differential expression analysis revealed that the transcript level of anthocyanin biosynthetic unigenes encoding flavonoid 3’-hydroxylase, dihydroflavonol 4-reductase, and anthocyanidin synthase was significantly higher in red perilla, while the transcript level of unigenes encoding limonene synthase was significantly higher in green perilla. Our data serve as a basis for future research on perilla bio-engineering and provide a shortcut for the characterization of new functional genes in P. frutescens.


Url:
DOI: 10.1371/journal.pone.0129154
PubMed: 26070213
PubMed Central: 4466401


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

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Assembly of Red and Green Forms of the
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<italic>crispa</italic>
Transcriptome</title>
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<name sortKey="Fukushima, Atsushi" sort="Fukushima, Atsushi" uniqKey="Fukushima A" first="Atsushi" last="Fukushima">Atsushi Fukushima</name>
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<italic>Perilla frutescens</italic>
var.
<italic>crispa</italic>
(Labiatae) has two chemo-varietal forms, i.e. red and green forms of perilla, that differ in the production of anthocyanins. To facilitate molecular biological and biochemical studies in perilla-specialized metabolism we used Illumina RNA-sequencing technology in our comprehensive comparison of the transcriptome map of the leaves of red and green forms of perilla. Sequencing generated over 1.2 billion short reads with an average length of 101 nt.
<italic>De novo</italic>
transcriptome assembly yielded 47,788 and 47,840 unigenes in the red and green forms of perilla plants, respectively. Comparison of the assembled unigenes and existing perilla cDNA sequences showed highly reliable alignment. All unigenes were annotated with gene ontology (GO) and Enzyme Commission numbers and entered into the Kyoto Encyclopedia of Genes and Genomes. We identified 68 differentially expressed genes (DEGs) in red and green forms of perilla. GO enrichment analysis of the DEGs showed that genes involved in the anthocyanin metabolic process were enriched. Differential expression analysis revealed that the transcript level of anthocyanin biosynthetic unigenes encoding flavonoid 3’-hydroxylase, dihydroflavonol 4-reductase, and anthocyanidin synthase was significantly higher in red perilla, while the transcript level of unigenes encoding limonene synthase was significantly higher in green perilla. Our data serve as a basis for future research on perilla bio-engineering and provide a shortcut for the characterization of new functional genes in
<italic>P</italic>
.
<italic>frutescens</italic>
.</p>
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<name sortKey="Smyth, Gk" uniqKey="Smyth G">GK Smyth</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Anders, S" uniqKey="Anders S">S Anders</name>
</author>
<author>
<name sortKey="Huber, W" uniqKey="Huber W">W Huber</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<affiliations>
<list>
<country>
<li>Japon</li>
</country>
</list>
<tree>
<country name="Japon">
<noRegion>
<name sortKey="Fukushima, Atsushi" sort="Fukushima, Atsushi" uniqKey="Fukushima A" first="Atsushi" last="Fukushima">Atsushi Fukushima</name>
</noRegion>
<name sortKey="Nakamura, Michimi" sort="Nakamura, Michimi" uniqKey="Nakamura M" first="Michimi" last="Nakamura">Michimi Nakamura</name>
<name sortKey="Saito, Kazuki" sort="Saito, Kazuki" uniqKey="Saito K" first="Kazuki" last="Saito">Kazuki Saito</name>
<name sortKey="Saito, Kazuki" sort="Saito, Kazuki" uniqKey="Saito K" first="Kazuki" last="Saito">Kazuki Saito</name>
<name sortKey="Suzuki, Hideyuki" sort="Suzuki, Hideyuki" uniqKey="Suzuki H" first="Hideyuki" last="Suzuki">Hideyuki Suzuki</name>
<name sortKey="Yamazaki, Mami" sort="Yamazaki, Mami" uniqKey="Yamazaki M" first="Mami" last="Yamazaki">Mami Yamazaki</name>
</country>
</tree>
</affiliations>
</record>

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