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Selection of reliable reference genes for quantitative real-time PCR gene expression analysis in Jute (Corchorus capsularis) under stress treatments

Identifieur interne : 000455 ( Main/Exploration ); précédent : 000454; suivant : 000456

Selection of reliable reference genes for quantitative real-time PCR gene expression analysis in Jute (Corchorus capsularis) under stress treatments

Auteurs : Xiaoping Niu [République populaire de Chine] ; Jianmin Qi [République populaire de Chine] ; Gaoyang Zhang [République populaire de Chine] ; Jiantang Xu [République populaire de Chine] ; Aifen Tao [République populaire de Chine] ; Pingping Fang [République populaire de Chine] ; Jianguang Su [République populaire de Chine]

Source :

RBID : PMC:4604321

Abstract

To accurately measure gene expression using quantitative reverse transcription PCR (qRT-PCR), reliable reference gene(s) are required for data normalization. Corchorus capsularis, an annual herbaceous fiber crop with predominant biodegradability and renewability, has not been investigated for the stability of reference genes with qRT-PCR. In this study, 11 candidate reference genes were selected and their expression levels were assessed using qRT-PCR. To account for the influence of experimental approach and tissue type, 22 different jute samples were selected from abiotic and biotic stress conditions as well as three different tissue types. The stability of the candidate reference genes was evaluated using geNorm, NormFinder, and BestKeeper programs, and the comprehensive rankings of gene stability were generated by aggregate analysis. For the biotic stress and NaCl stress subsets, ACT7 and RAN were suitable as stable reference genes for gene expression normalization. For the PEG stress subset, UBC, and DnaJ were sufficient for accurate normalization. For the tissues subset, four reference genes TUBβ, UBI, EF1α, and RAN were sufficient for accurate normalization. The selected genes were further validated by comparing expression profiles of WRKY15 in various samples, and two stable reference genes were recommended for accurate normalization of qRT-PCR data. Our results provide researchers with appropriate reference genes for qRT-PCR in C. capsularis, and will facilitate gene expression study under these conditions.


Url:
DOI: 10.3389/fpls.2015.00848
PubMed: 26528312
PubMed Central: 4604321


Affiliations:


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Le document en format XML

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<name sortKey="Niu, Xiaoping" sort="Niu, Xiaoping" uniqKey="Niu X" first="Xiaoping" last="Niu">Xiaoping Niu</name>
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<p>To accurately measure gene expression using quantitative reverse transcription PCR (qRT-PCR), reliable reference gene(s) are required for data normalization.
<italic>Corchorus capsularis</italic>
, an annual herbaceous fiber crop with predominant biodegradability and renewability, has not been investigated for the stability of reference genes with qRT-PCR. In this study, 11 candidate reference genes were selected and their expression levels were assessed using qRT-PCR. To account for the influence of experimental approach and tissue type, 22 different jute samples were selected from abiotic and biotic stress conditions as well as three different tissue types. The stability of the candidate reference genes was evaluated using geNorm, NormFinder, and BestKeeper programs, and the comprehensive rankings of gene stability were generated by aggregate analysis. For the biotic stress and NaCl stress subsets,
<italic>ACT7</italic>
and
<italic>RAN</italic>
were suitable as stable reference genes for gene expression normalization. For the PEG stress subset,
<italic>UBC</italic>
, and
<italic>DnaJ</italic>
were sufficient for accurate normalization. For the tissues subset, four reference genes
<italic>TUB</italic>
β,
<italic>UBI, EF1</italic>
α, and
<italic>RAN</italic>
were sufficient for accurate normalization. The selected genes were further validated by comparing expression profiles of
<italic>WRKY15</italic>
in various samples, and two stable reference genes were recommended for accurate normalization of qRT-PCR data. Our results provide researchers with appropriate reference genes for qRT-PCR in
<italic>C</italic>
.
<italic>capsularis</italic>
, and will facilitate gene expression study under these conditions.</p>
</div>
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<name sortKey="Li, P" uniqKey="Li P">P. Li</name>
</author>
<author>
<name sortKey="Yao, Y" uniqKey="Yao Y">Y. Yao</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Zhang, G" uniqKey="Zhang G">G. Zhang</name>
</author>
<author>
<name sortKey="Qi, J" uniqKey="Qi J">J. Qi</name>
</author>
<author>
<name sortKey="Xu, J" uniqKey="Xu J">J. Xu</name>
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<author>
<name sortKey="Niu, X" uniqKey="Niu X">X. Niu</name>
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<biblStruct>
<analytic>
<author>
<name sortKey="Zhang, G" uniqKey="Zhang G">G. Zhang</name>
</author>
<author>
<name sortKey="Zhang, Y" uniqKey="Zhang Y">Y. Zhang</name>
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<author>
<name sortKey="Tao, A" uniqKey="Tao A">A. Tao</name>
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<biblStruct>
<analytic>
<author>
<name sortKey="Zhong, H Y" uniqKey="Zhong H">H. Y. Zhong</name>
</author>
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<name sortKey="Chen, J W" uniqKey="Chen J">J. W. Chen</name>
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<name sortKey="Li, C Q" uniqKey="Li C">C. Q. Li</name>
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<analytic>
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<name sortKey="Zhuang, H" uniqKey="Zhuang H">H. Zhuang</name>
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</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<affiliations>
<list>
<country>
<li>République populaire de Chine</li>
</country>
</list>
<tree>
<country name="République populaire de Chine">
<noRegion>
<name sortKey="Niu, Xiaoping" sort="Niu, Xiaoping" uniqKey="Niu X" first="Xiaoping" last="Niu">Xiaoping Niu</name>
</noRegion>
<name sortKey="Fang, Pingping" sort="Fang, Pingping" uniqKey="Fang P" first="Pingping" last="Fang">Pingping Fang</name>
<name sortKey="Qi, Jianmin" sort="Qi, Jianmin" uniqKey="Qi J" first="Jianmin" last="Qi">Jianmin Qi</name>
<name sortKey="Su, Jianguang" sort="Su, Jianguang" uniqKey="Su J" first="Jianguang" last="Su">Jianguang Su</name>
<name sortKey="Tao, Aifen" sort="Tao, Aifen" uniqKey="Tao A" first="Aifen" last="Tao">Aifen Tao</name>
<name sortKey="Xu, Jiantang" sort="Xu, Jiantang" uniqKey="Xu J" first="Jiantang" last="Xu">Jiantang Xu</name>
<name sortKey="Zhang, Gaoyang" sort="Zhang, Gaoyang" uniqKey="Zhang G" first="Gaoyang" last="Zhang">Gaoyang Zhang</name>
<name sortKey="Zhang, Gaoyang" sort="Zhang, Gaoyang" uniqKey="Zhang G" first="Gaoyang" last="Zhang">Gaoyang Zhang</name>
</country>
</tree>
</affiliations>
</record>

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