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Identification of MicroRNAs and Target Genes in the Fruit and Shoot Tip of Lycium chinense: A Traditional Chinese Medicinal Plant

Identifieur interne : 000596 ( Main/Exploration ); précédent : 000595; suivant : 000597

Identification of MicroRNAs and Target Genes in the Fruit and Shoot Tip of Lycium chinense: A Traditional Chinese Medicinal Plant

Auteurs : A. B. M. Khaldun [République populaire de Chine] ; Wenjun Huang [République populaire de Chine] ; Sihong Liao [République populaire de Chine] ; Haiyan Lv [République populaire de Chine] ; Ying Wang [République populaire de Chine]

Source :

RBID : PMC:4294688

Abstract

Although Lycium chinense (goji berry) is an important traditional Chinese medicinal plant, little genome information is available for this plant, particularly at the small-RNA level. Recent findings indicate that the evolutionary role of miRNAs is very important for a better understanding of gene regulation in different plant species. To elucidate small RNAs and their potential target genes in fruit and shoot tissues, high-throughput RNA sequencing technology was used followed by qRT-PCR and RLM 5’-RACE experiments. A total of 60 conserved miRNAs belonging to 31 families and 30 putative novel miRNAs were identified. A total of 62 significantly differentially expressed miRNAs were identified, of which 15 (14 known and 1 novel) were shoot-specific, and 12 (7 known and 5 novel) were fruit-specific. Additionally, 28 differentially expressed miRNAs were recorded as up-regulated in fruit tissues. The predicted potential targets were involved in a wide range of metabolic and regulatory pathways. GO (Gene Ontology) enrichment analysis and the KEGG (Kyoto Encyclopedia of Genes and Genomes) database revealed that “metabolic pathways” is the most significant pathway with respect to the rich factor and gene numbers. Moreover, five miRNAs were related to fruit maturation, lycopene biosynthesis and signaling pathways, which might be important for the further study of fruit molecular biology. This study is the first, to detect known and novel miRNAs, and their potential targets, of L. chinense. The data and findings that are presented here might be a good source for the functional genomic study of medicinal plants and for understanding the links among diversified biological pathways.


Url:
DOI: 10.1371/journal.pone.0116334
PubMed: 25587984
PubMed Central: 4294688


Affiliations:


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Le document en format XML

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<p>Although
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(goji berry) is an important traditional Chinese medicinal plant, little genome information is available for this plant, particularly at the small-RNA level. Recent findings indicate that the evolutionary role of miRNAs is very important for a better understanding of gene regulation in different plant species. To elucidate small RNAs and their potential target genes in fruit and shoot tissues, high-throughput RNA sequencing technology was used followed by qRT-PCR and RLM 5’-RACE experiments. A total of 60 conserved miRNAs belonging to 31 families and 30 putative novel miRNAs were identified. A total of 62 significantly differentially expressed miRNAs were identified, of which 15 (14 known and 1 novel) were shoot-specific, and 12 (7 known and 5 novel) were fruit-specific. Additionally, 28 differentially expressed miRNAs were recorded as up-regulated in fruit tissues. The predicted potential targets were involved in a wide range of metabolic and regulatory pathways. GO (Gene Ontology) enrichment analysis and the KEGG (Kyoto Encyclopedia of Genes and Genomes) database revealed that “metabolic pathways” is the most significant pathway with respect to the rich factor and gene numbers. Moreover, five miRNAs were related to fruit maturation, lycopene biosynthesis and signaling pathways, which might be important for the further study of fruit molecular biology. This study is the first, to detect known and novel miRNAs, and their potential targets, of
<italic>L. chinense</italic>
. The data and findings that are presented here might be a good source for the functional genomic study of medicinal plants and for understanding the links among diversified biological pathways.</p>
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<name sortKey="Young, Md" uniqKey="Young M">MD Young</name>
</author>
<author>
<name sortKey="Wakefield, Mj" uniqKey="Wakefield M">MJ Wakefield</name>
</author>
<author>
<name sortKey="Smyth, Gk" uniqKey="Smyth G">GK Smyth</name>
</author>
<author>
<name sortKey="Oshlack, A" uniqKey="Oshlack A">A Oshlack</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Mao, Xz" uniqKey="Mao X">XZ Mao</name>
</author>
<author>
<name sortKey="Cai, T" uniqKey="Cai T">T Cai</name>
</author>
<author>
<name sortKey="Olyarchuk, Jg" uniqKey="Olyarchuk J">JG Olyarchuk</name>
</author>
<author>
<name sortKey="Wei, Lp" uniqKey="Wei L">LP Wei</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
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</TEI>
<affiliations>
<list>
<country>
<li>République populaire de Chine</li>
</country>
<settlement>
<li>Pékin</li>
</settlement>
</list>
<tree>
<country name="République populaire de Chine">
<noRegion>
<name sortKey="Khaldun, A B M" sort="Khaldun, A B M" uniqKey="Khaldun A" first="A. B. M." last="Khaldun">A. B. M. Khaldun</name>
</noRegion>
<name sortKey="Huang, Wenjun" sort="Huang, Wenjun" uniqKey="Huang W" first="Wenjun" last="Huang">Wenjun Huang</name>
<name sortKey="Khaldun, A B M" sort="Khaldun, A B M" uniqKey="Khaldun A" first="A. B. M." last="Khaldun">A. B. M. Khaldun</name>
<name sortKey="Liao, Sihong" sort="Liao, Sihong" uniqKey="Liao S" first="Sihong" last="Liao">Sihong Liao</name>
<name sortKey="Liao, Sihong" sort="Liao, Sihong" uniqKey="Liao S" first="Sihong" last="Liao">Sihong Liao</name>
<name sortKey="Lv, Haiyan" sort="Lv, Haiyan" uniqKey="Lv H" first="Haiyan" last="Lv">Haiyan Lv</name>
<name sortKey="Wang, Ying" sort="Wang, Ying" uniqKey="Wang Y" first="Ying" last="Wang">Ying Wang</name>
<name sortKey="Wang, Ying" sort="Wang, Ying" uniqKey="Wang Y" first="Ying" last="Wang">Ying Wang</name>
</country>
</tree>
</affiliations>
</record>

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